﻿FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Tang, JT
   Wu, SN
   Yang, SN
   Shi, YG
AF Tang, Jiting
   Wu, Shengnan
   Yang, Saini
   Shi, Yongguo
TI Resilience Assessment of Urban Road Transportation in Rainfall
SO REMOTE SENSING
LA English
DT Article
DE urban road transportation; resilience assessment; Resilience Triangle;
   rainfall weather
ID TROPICAL CYCLONES; SPEED
AB Transportation resilience, as a component of city sustainability, plays a crucial role in the daily management and emergency response of urban road systems. With coastal cities becoming increasingly vulnerable to typhoons, rainstorms, and other disasters, it is essential to assess the resilience of urban road transportation in a refined and differentiated approach. Existing resilience assessment methods often overlook significant biases, neglecting the dynamic response of road traffic and non-stationary characteristics of traffic systems. To address these limitations, we develop a quantitative resilience assessment method for urban road transportation during rainfall that is based on the improved Resilience Triangle. The method is applied to DiDi urban traffic speed and meteorological data of Shenzhen, China, from April to September 2018, with a focus on Typhoon Mangkhut as an extreme weather case. By analyzing transportation resilience variations across road densities, road hierarchies, and rainfall scenarios, we found that road densities and rainfall intensities explain resilience variations better than road hierarchies. Specifically, as accumulative precipitation exceeds 100 mm, a substantial surge in loss of performance is observed. Typhoon rainfalls result in a greater loss in urban road traffic compared to general rainfalls. The results offer valuable insights for urban road planning, traffic emergency management, and transportation resilience construction in the face of increasingly severe weather challenges.
C1 [Tang, Jiting; Yang, Saini] Beijing Normal Univ, Sch Natl Safety & Emergency Management, Beijing 100875, Peoples R China.
   [Tang, Jiting; Yang, Saini] Beijing Normal Univ, Joint Int Res Lab Catastrophe Simulat & Syst Risk, Zhuhai 519087, Peoples R China.
   [Wu, Shengnan] Chongqing Acad Governance, Emergency Management Ctr, Chongqing 400041, Peoples R China.
   [Shi, Yongguo] Zhejiang Acad Emergency Management Sci, Zhejiang Key Lab Safety Engn & Technol, Hangzhou 310061, Peoples R China.
C3 Beijing Normal University; Beijing Normal University
RP Yang, SN (corresponding author), Beijing Normal Univ, Sch Natl Safety & Emergency Management, Beijing 100875, Peoples R China.; Yang, SN (corresponding author), Beijing Normal Univ, Joint Int Res Lab Catastrophe Simulat & Syst Risk, Zhuhai 519087, Peoples R China.
EM tangjiting@cumtb.edu.cn; shengnan@imde.ac.cn; yangsaini@bnu.edu.cn
RI Wu, Sheng-Nan/B-9224-2009
OI Tang, Jiting/0000-0003-4635-8609; Wu, Shengnan/0000-0002-5880-244X
FU Fundamental Research Funds for the Central Universities; National Key
   Research and Development Program of China [2018YFC1508903]; Open Grants
   of the Joint Open Lab on Meteorological Risk and Insurance [2024F012]; 
   [2024XJZN01]
FX This research was funded by the Fundamental Research Funds for the
   Central Universities (No. 2024XJZN01), the National Key Research and
   Development Program of China (No. 2018YFC1508903), and the Open Grants
   of the Joint Open Lab on Meteorological Risk and Insurance (No.
   2024F012).
CR Ahmed S., 2020, J INFRASTRUCTURE PRE, V1, P8, DOI DOI 10.1186/S43065-020-00008-9
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Beiler MO, 2013, TRANSPORT RES REC, P153, DOI 10.3141/2397-18
   Bhavathrathan BK, 2015, TRANSPORTMETRICA A, V11, P836, DOI 10.1080/23249935.2015.1087230
   Brodie IM, 2011, HYDROL RES, V42, P239, DOI 10.2166/nh.2011.117
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chen H, 2017, TRANSPORT RES E-LOG, V97, P282, DOI 10.1016/j.tre.2016.10.008
   Chen HF, 2019, CLIM PAST, V15, P279, DOI 10.5194/cp-15-279-2019
   Chen LC, 2012, TRANSPORT SCI, V46, P109, DOI 10.1287/trsc.1110.0376
   Cheng H, 2024, CATENA, V234, DOI 10.1016/j.catena.2023.107562
   Folgero IK, 2020, TRANSPORT RES D-TR E, V82, DOI 10.1016/j.trd.2020.102261
   Fuldauer LI, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31202-w
   Graveline MH, 2022, INT J DISAST RISK SC, V13, P330, DOI 10.1007/s13753-022-00419-0
   Gu Y, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.11.003
   Hartmann AK, 2014, EUR PHYS J B, V87, DOI 10.1140/epjb/e2014-50078-4
   He JY, 2020, J WIND ENG IND AEROD, V206, DOI 10.1016/j.jweia.2020.104362
   Hu M., 2020, P 2020 IEEE 23 INT C, P1
   Lee Y., 2017, Math Teach, V110, P631
   Li JX, 2024, IEEE T GEOSCI REMOTE, V62, DOI 10.1109/TGRS.2024.3391014
   Li JX, 2023, IEEE GEOSCI REMOTE S, V20, DOI 10.1109/LGRS.2023.3309854
   Li JX, 2023, IEEE T GEOSCI REMOTE, V61, DOI 10.1109/TGRS.2023.3300043
   Liao TY, 2018, NAT HAZARDS, V93, P469, DOI 10.1007/s11069-018-3310-3
   Liu B, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9090517
   Mudigonda S, 2019, J TRANSP SAF SECUR, V11, P491, DOI 10.1080/19439962.2018.1436105
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Osei-Asamoah A, 2014, TRANSPORT RES REC, P120, DOI 10.3141/2467-13
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Tang JT, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142113969
   Tang P, 2023, INT J DISAST RISK RE, V92, DOI 10.1016/j.ijdrr.2023.103691
   Testa AC, 2015, TRANSPORT RES REC, P29, DOI 10.3141/2532-04
   Tian X, 2019, SCI TOTAL ENVIRON, V689, P258, DOI 10.1016/j.scitotenv.2019.06.355
   Twumasi-Boakye R, 2018, J TRANSP ENG A-SYST, V144, DOI 10.1061/JTEPBS.0000186
   Utsumi N, 2022, NAT CLIM CHANGE, V12, P436, DOI 10.1038/s41558-022-01344-2
   Wang HW, 2020, TRANSPORT RES C-EMER, V115, DOI 10.1016/j.trc.2020.102619
   Wang YO, 2015, TRANSPORTMETRICA A, V11, P873, DOI 10.1080/23249935.2015.1087234
   Yu ZF, 2015, J APPL METEOROL CLIM, V54, P117, DOI 10.1175/JAMC-D-13-0359.1
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   Zhao DM, 2021, CLIM DYNAM, V56, P2509, DOI 10.1007/s00382-020-05601-y
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
NR 39
TC 1
Z9 1
U1 65
U2 78
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD SEP
PY 2024
VL 16
IS 17
AR 3311
DI 10.3390/rs16173311
PG 15
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 F7E7O
UT WOS:001311414600001
OA gold
DA 2025-04-22
ER

PT J
AU Borsekova, K
   Nijkamp, P
   Guevara, P
AF Borsekova, Kamila
   Nijkamp, Peter
   Guevara, Porfirio
TI Urban resilience patterns after an external shock: An exploratory study
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Resilience; Vulnerability; External shock; Urbanization; Urban
   resilience pattern
ID COMMUNITY RESILIENCE; ECONOMIC RESILIENCE; CITY; DYNAMICS; SPRAWL;
   CITIES; WORLD
AB Resilience has in recent years become an established concept in dynamic systems analysis. It is also increasingly employed in dynamic spatial systems, such as cities. The present paper offers an evidence of resilience of urban systems after an external shock. It pays particular attention to natural disasters affecting a city's system. A typology of different types of disasters and of related damage is presented, from a global perspective on the regional occurrence of such calamities. The cost and recovery potential after an external shock are statistically explored. We find that population size and density are critical parameters for the order of magnitude of disaster damage. The comprehensive approach to urban resilience based on risk assessment, identification and management proposed in this paper helps to depict a feasible urban resilience pattern after an external shock.
C1 [Borsekova, Kamila] Matej Bel Univ, Banska Bystrica, Slovakia.
   [Nijkamp, Peter] Adam Mickiewicz Univ, Poznan, Poland.
   [Nijkamp, Peter] Tinbergen Inst, Amsterdam, Netherlands.
   [Nijkamp, Peter] JADS, sHertogenbosch, Netherlands.
   [Guevara, Porfirio] INCAE Business Sch, Managua, Costa Rica.
C3 Matej Bel University; Adam Mickiewicz University; Tinbergen Institute;
   INCAE Business School
RP Borsekova, K (corresponding author), Matej Bel Univ, Res & Innovat Ctr, Cesta Na Amfiteater 1, Banska Bystrica 97401, Slovakia.
EM kamila.borsekova@umb.sk
RI Borsekova, Kamila/AAM-6535-2020
OI kourtit, karima/0000-0002-7171-994X; Guevara,
   Porfirio/0009-0005-9570-5445; Nijkamp, Peter/0000-0002-4068-8132;
   Borsekova, Kamila/0000-0001-5411-7915
CR Aitsi-Selmi A, 2016, INT J DISAST RISK SC, V7, P1, DOI 10.1007/s13753-016-0081-x
   Alexander D., 2000, CONFRONTING CATASTRO
   Andrew SA, 2013, URBAN STUD, V50, P709, DOI 10.1177/0042098012455718
   [Anonymous], 2014, Measuring regional and local wellbeing for policy making
   [Anonymous], 2016, Resilient Cities
   [Anonymous], 2014, World urbanization prospects, the 2014 revision: Highlights
   ARUP and Rockefeller Foundation, 2014, CIT RES FRAM OV AR P
   Barkham R., 2014, Resilient cities: a Grosvenor research report
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Berg L.v., 1982, Urban Europe: A study of Growth and Decline
   Borsekova K., 2018, RESILIENCE URBAN DIS
   Brakman S., 2002, 808 CESIFO U GRON
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Caschili S, 2015, NETW SPAT ECON, V15, P205, DOI 10.1007/s11067-015-9283-9
   Chapple K, 2010, CAMB J REG ECON SOC, V3, P85, DOI 10.1093/cjres/rsp031
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Cheshire PC, 2006, URBAN STUD, V43, P1231, DOI 10.1080/00420980600775600
   Couch C, 2005, EUR PLAN STUD, V13, P117, DOI 10.1080/0965431042000312433
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Dickson E., 2012, Urban risk assessment: Understanding disaster and climate risk in cities
   Diodato D, 2015, J ECON GEOGR, V15, P723, DOI 10.1093/jeg/lbu030
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Forrester J.W., 1969, Urban Dynamics
   Guha-Sapir D., 2016, Annual Disaster Statistical Review 2016: the Numbers and Trends
   Haase A., 2015, DEMOGRAPHY CLIMATE C, P151
   Haase A, 2010, POPUL SPACE PLACE, V16, P443, DOI 10.1002/psp.603
   Hindls R., 2007, STAT EC
   Holm JR, 2015, REG STUD, V49, P95, DOI 10.1080/00343404.2013.787159
   ICLEI USA, 2014, RES COMM AM FED POL
   Interagency Resilience Working Group, 2012, CHAR RES BUILD DISC
   Izaki D., 2016, STUD REG SCI, V46, P259
   Jha A.K., 2013, BUILDING URBAN RESIL, DOI [10.1596/978-0-8213-8865-5, DOI 10.1596/978-0-8213-8865-5]
   Kabisch N, 2012, INT J URBAN REGIONAL, V36, P1326, DOI 10.1111/j.1468-2427.2012.01114.x
   Kabisch N, 2010, URBAN STUD, V47, P967, DOI 10.1177/0042098009353072
   Kourtit K., 2015, THE NEW URBAN WORLD
   Kourtit K, 2018, LAND USE POLICY, V71, P24, DOI 10.1016/j.landusepol.2017.10.019
   Kourtit K, 2014, APPL GEOGR, V49, P1, DOI 10.1016/j.apgeog.2014.01.007
   Lechner S, 2016, INT J DISAST RISK RE, V19, P84, DOI 10.1016/j.ijdrr.2016.08.006
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Leykin D, 2016, INT J DISAST RISK RE, V15, P125, DOI 10.1016/j.ijdrr.2016.01.008
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mavhura E, 2017, GEOFORUM, V86, P103, DOI 10.1016/j.geoforum.2017.09.008
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Modica M, 2015, NETW SPAT ECON, V15, P211, DOI 10.1007/s11067-014-9261-7
   Morchain D.R.H., 2012, Background Paper for Council of Europe's Report on Resilient Cities
   Morinière L, 2012, URBAN STUD, V49, P435, DOI 10.1177/0042098011402233
   Nijkamp P, 2017, QUAL INNOV PROSPER, V21, P81, DOI 10.12776/QIP.V21I1.789
   Nuissl H, 2005, CITIES, V22, P123, DOI 10.1016/j.cities.2005.01.002
   OECD, 2014, OV PAP RES EC SOC M
   Parsons M, 2016, INT J DISAST RISK RE, V19, P1, DOI 10.1016/j.ijdrr.2016.07.005
   Paterson SK, 2017, GEOFORUM, V81, P109, DOI 10.1016/j.geoforum.2017.02.014
   Pelling M., 2013, 47 EPD KINGS COLL LO
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   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
   Richardson HW., 2008, Natural Disaster Analysis After Hurricane Katrina
   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]
   Sage D, 2015, ENVIRON PLANN D, V33, P494, DOI 10.1177/0263775815594299
   Shinde KA, 2017, URBAN STUD, V54, P382, DOI 10.1177/0042098016652777
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Tanner T., 2017, Challenges for resilience policy and practice
   Taylor PJ, 2007, QUESTION CITIES, P1
   Walker B., 2004, Ecology and Society, V9, P5
   Wilson GA, 2012, GEOFORUM, V43, P1218, DOI 10.1016/j.geoforum.2012.03.008
   Xiao Y, 2012, URBAN STUD, V49, P2523, DOI 10.1177/0042098011428178
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
NR 68
TC 46
Z9 46
U1 15
U2 116
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
PY 2018
VL 31
BP 381
EP 392
DI 10.1016/j.ijdrr.2018.05.012
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 GV7ZE
UT WOS:000446353300038
DA 2025-04-22
ER

PT J
AU van Dijk, MP
   Zhang, MS
AF van Dijk, Meine Pieter
   Zhang, Mingshun
TI RETRACTED: Urban Water Management Paradigms in Chinese Cities (Retracted
   Article)
SO SUSTAINABILITY
LA English
DT Article; Retracted Publication
DE resilient cities; eco-cities; sponge cities; water management;
   paradigms; China
ID TRANSPORT; CITY
AB Three paradigms used in China to deal with urban water issues are compared. The analysis focuses on their definition and objectives, the role of different stakeholders, the issues they deal with and the possible solutions suggested. The use of these paradigms in Chinese cities is compared on different dimensions to conclude when and where they can be used for which purpose. The paradigms differ substantially in their scope (from the narrow focus of the sponge city paradigm to the broad goals of eco-city paradigms) and in terms of the governance mechanisms used to coordinate between different actors. The resilient and sponge paradigms mainly use government structures to achieve their objectives, while the idea is to also involve the private sector (certainly in case of the sponge city paradigm). This has not happened most of the times because project money had to be spent in time. In the eco-cities approach the citizens want to be involved through newly created governance structures. In resilient cities potential victims may be involved. Resilient and eco-city initiatives emphasize the involvement of stakeholders, while in the sponge cities approach the initiative is often taken by local government. Finally, in terms of expected solutions, the paradigms want to avoid disaster, create an eco-city or improve water management. Only in the case of eco-cities there is more space for different water management practices and using alternative technologies. Water-related technologies are available, generating energy from wastewater or underground water and diminishing the dependence on fossil fuels.
C1 [van Dijk, Meine Pieter] Erasmus Univ, Int Inst Social Studies ISS, NL-3062 PA Rotterdam, Netherlands.
   [van Dijk, Meine Pieter; Zhang, Mingshun] BUCEA, Beijing 100091, Peoples R China.
C3 Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University
   Rotterdam
RP van Dijk, MP (corresponding author), Erasmus Univ, Int Inst Social Studies ISS, NL-3062 PA Rotterdam, Netherlands.; van Dijk, MP (corresponding author), BUCEA, Beijing 100091, Peoples R China.
EM mpvandijk@iss.nl; zhangmingshun@bucea.edu.cn
RI van Dijk, Meine Pieter/HJG-5481-2022; Zhang, Mingshun/AAN-2431-2020; van
   Dijk, Meine Pieter/N-3533-2013
OI van Dijk, Meine Pieter/0000-0002-2555-3555
CR [Anonymous], 2019, Life Environment Journal
   Betancourth CH, 2011, ECO-CITY PLANNING- POLICIES, PRACTICE AND DESIGN, P51, DOI 10.1007/978-94-007-0383-4_4
   Bhatnagar M., 2010, ECOCITIES PERSPECTIV
   Bumett J, 2007, LANDSCAPE URBAN PLAN, V83, P29, DOI 10.1016/j.landurbplan.2007.09.003
   Butterworth John., 2011, SWITCH in the city putting urban water management to the test
   China's Ministry of Environmental Protection, 2009, INTR NAT MOD CIT ENV
   Dastbaz M., 2018, SMART FUTURES CHALLE
   De Jong M., 2016, GOVERNANCE INFRASTRU
   Dunn S, 2011, ECO-CITY PLANNING- POLICIES, PRACTICE AND DESIGN, P93, DOI 10.1007/978-94-007-0383-4_5
   Esteban T.A.O., 2017, URBAN GOVERNANCE REA
   Geng Y, 2009, WASTE MANAGE, V29, P996, DOI 10.1016/j.wasman.2008.06.036
   Intergovernmental Panel on Climate Change, 2018, GLOB WARM 1 5 C, DOI [DOI 10.1017/9781009157940, 10.1017/9781009157940]
   JAASMA P, 2017, URBAN GOVERNANCE REA, P1, DOI DOI 10.1145/3024969.3025002
   Kenworthy JR, 2006, ENVIRON URBAN, V18, P67, DOI 10.1177/0956247806063947
   Li H, 2017, WATER-SUI, V9, DOI 10.3390/w9090594
   Liang X, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030669
   Liang X, 2011, RESOUR CONSERV RECY, V55, P1100, DOI 10.1016/j.resconrec.2011.06.009
   Liang X, 2010, WATER SCI TECHNOL, V61, P1965, DOI 10.2166/wst.2010.105
   Lindfield M., 2012, Green Cities
   Litman T., 2006, Intern. J. Global Environ. Iss., V6, P331, DOI [DOI 10.1504/IJGENVI.2006.010889, 10.1504/ijgenvi.2006.010889]
   Liu J., 2016, DEV ECOCITIES CHINA
   Morris ES, 2011, ECO-CITY PLANNING- POLICIES, PRACTICE AND DESIGN, P113, DOI 10.1007/978-94-007-03834_6
   Nakagoshi N, 2007, URBAN FOR URBAN GREE, V7, P25
   Oduro-Kwarteng Sampson, 2017, International Journal of Environment and Waste Management, V20, P35
   OECD, 2018, RESILIENT CITIES
   Pojani D, 2015, SUSTAINABILITY-BASEL, V7, P7784, DOI 10.3390/su7067784
   Qiu L., 2014, INT J WATER RESOUR P, V7, P830, DOI [10.4236/jwarp.2015.710067, DOI 10.4236/JWARP.2015.710067]
   Raj K., 2010, ECOCITIES PERSPECTIV
   Rockefeller Foundation and ARUP, 2014, CIT RES FRAM
   Rombout E., 2009, ECOCITIES PERSPECTIV, P99
   Rotterdam Climate Initiative, 2017, CLIM AD
   Suzuki H, 2010, ECO2 CITIES: ECOLOGICAL CITIES AS ECONOMIC CITIES, P1, DOI 10.1596/978-0-8213-8046-8
   UN Habitat, 2018, SUST CIT PROGR
   UNDP, 2014, CHIN NAT HUM DEV REP
   UNISDR, 2010, CAMP MAK CIT RES
   Usunju J.B., 2011, PUBLIC HEALTH, V1, P1, DOI [10.1016/j.puhe.2011.03.008, DOI 10.1016/J.PUHE.2011.03.008]
   van Dijk Meine Pieter, 2012, International Journal of Water, V6, P270, DOI 10.1504/IJW.2012.049500
   Van Dijk M.P., 2013, ARTHA VIKAS, V49, P1
   van Dijk MeinePieter., 2018, Smart Futures, Challenges of Urbanisation, and Social Sustainability, P149
   van Dijk MP, 2005, ENVIRON IMPACT ASSES, V25, P667, DOI 10.1016/j.eiar.2004.10.001
   Wang Yan Wang Yan, 2009, Urban Agriculture Magazine, P20
   Wong Taichee., 2015, POPULATION MOBILITY
   Wong TC, 2011, ECO-CITY PLANNING- POLICIES, PRACTICE AND DESIGN, P1, DOI 10.1007/978-94-007-0383-4
   Wu FL, 2012, GEOFORUM, V43, P169, DOI 10.1016/j.geoforum.2011.08.001
   Zhang MS, 2019, INT J GLOBAL WARM, V17, P297, DOI 10.1504/IJGW.2019.098524
NR 45
TC 6
Z9 6
U1 3
U2 40
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 3001
DI 10.3390/su11113001
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 IE8OE
UT WOS:000472632200006
OA Green Published, gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Touili, N
AF Touili, Nabil
TI Hazards, Infrastructure Networks and Unspecific Resilience
SO SUSTAINABILITY
LA English
DT Article
DE critical infrastructures; hazards; urban services; disruptions;
   unspecific resilience
ID NEW-YORK-CITY; URBAN RESILIENCE; VULNERABILITY; SYSTEMS
AB The aim of this paper is to provide a framework to improve urban resilience independently of the nature of the disturbances. Recent disasters had a significant impact on critical infrastructures providing essential urban services such as energy, transportation, telecommunication, water and food supply or health care. Indeed, several natural and human-made hazards may lead to disruptions, and most critical infrastructures are networked and highly interdependent. Henceforth, resilience building remain focused on specific hazards or on improving the resilience, separately, of single infrastructures. In order to enhance urban resilience, this paper is based on learnings from three case studies that are the 2001 WTC terrorist attack, hurricanes Irma and Maria in 2017 and the 2016 Seine river flood in Paris. These events highlight disruptions to urban services, but also some resilience options. In light of both the literature and our case studies, a framework of unspecific resilience is provided for improving some resilience principles, namely omnivory, redundancy, buffering, high flux, homeostasis and flatness within electric energy, water and food supply and transportation networks. Rebuilding resilience within this framework is further discussed with respect to all kinds of disruptive events.
C1 [Touili, Nabil] Univ Paris Saclay, Univ Versailles St Quentin En Yvelines, CEARC Res Ctr, F-78280 Guyancourt, France.
C3 Universite Paris Saclay
RP Touili, N (corresponding author), Univ Paris Saclay, Univ Versailles St Quentin En Yvelines, CEARC Res Ctr, F-78280 Guyancourt, France.
EM nabil.touili@uvsq.fr
OI TOUILI, Nabil/0000-0002-6095-2316
CR Alexander David, 2019, UCL Open Environ, V1, pe003, DOI 10.14324/111.444/ucloe.000003
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Bocquentin M., 2020, HOUILLE BLANCHE, P70, DOI [10.1051/lhb/2020009, DOI 10.1051/LHB/2020009]
   Campbell R., 2017, Structure Fires in Dormitories, Fraternities, Sororities and Barracks
   Carpenter SR, 2012, SUSTAINABILITY-BASEL, V4, P3248, DOI 10.3390/su4123248
   Casari M, 2005, J REGUL ECON, V27, P47, DOI 10.1007/s11149-004-4418-9
   CGEDD, 2017, RET EXP SERV STRAT N
   Chang SE, 2014, RISK ANAL, V34, P416, DOI 10.1111/risa.12133
   Cimellaro GP, 2016, GEOTECH GEOL EARTHQ, V41, P139, DOI 10.1007/978-3-319-30656-8_7
   Comes Tina, 2014, ISCRAM, V11, P195
   Diab Y., 2019, CYBERGEO EUR J GEOGR, DOI [10.4000/cybergeo.32564, DOI 10.4000/CYBERGEO.32564]
   Dubos-Paillard E., 2020, CYBERGEO EUR J GEOGR, DOI [10.4000/cybergeo.34634, DOI 10.4000/CYBERGEO.34634]
   FEMA, 2001, FED EM MAN AG FEMA S
   FEMA (Federal Emergency Management Agency), 2019, DAM FAILURE INFORM
   Florentin D., 2016, Revue Geographique de l'Est, V56, DOI DOI 10.4000/RGE.5853
   Gago EJ, 2015, RENEW SUST ENERG REV, V41, P1, DOI 10.1016/j.rser.2014.08.002
   Galland F., 2020, REV DEF NATL, V8, P46, DOI [10.3917/rdna.833.0046, DOI 10.3917/RDNA.833.0046]
   Gunderson L, 2010, ECOL SOC, V15
   Haraguchi M, 2016, INT J DISASTER RESIL, V7, P133, DOI 10.1108/IJDRBE-03-2015-0015
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hu Q, 2014, PUBLIC ADMIN REV, V74, P698, DOI 10.1111/puar.12284
   IEA, 2020, IND 2020 EN POL REV, P1
   Kotschy K., 2015, Principles for Building Resilience, P50, DOI [10.1017/CBO9781316014240.004, DOI 10.1017/CBO9781316014240.004]
   Laigneau M., 2020, REV DEF NATL, V8, P41, DOI [10.3917/rdna.833.0041, DOI 10.3917/RDNA.833.0041]
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lhomme S., 2019, CYBERGEO EUR J GEOGR, DOI [10.4000/cybergeo.33480, DOI 10.4000/CYBERGEO.33480]
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mendonça D, 2015, RELIAB ENG SYST SAFE, V141, P83, DOI 10.1016/j.ress.2015.03.017
   Mendonça D, 2006, J INFRASTRUCT SYST, V12, P260, DOI 10.1061/(ASCE)1076-0342(2006)12:4(260)
   Murdock HJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103470
   NASEM (National Academies of Sciences Engineering and Medicine), 2020, STRENGTH POSTH SUPPL, DOI [10.17226/25490, DOI 10.17226/25490]
   Orourke TD, 2003, LESSONS LEARNED WORL, P275
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Pandit A, 2017, J CLEAN PROD, V163, pS19, DOI 10.1016/j.jclepro.2015.09.010
   Pederson P., 2006, CRITICAL INFRASTRUCT, V25, P27
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Reghezza-Zitt M., 2018, VERTIGO LA REV LECTR, V18, DOI [10.4000/vertigo.23554, DOI 10.4000/VERTIGO.23554]
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Särkilahti M, 2017, TECHNOL FORECAST SOC, V118, P195, DOI 10.1016/j.techfore.2017.02.020
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Simpson NP, 2020, CLIM RISK MANAG, V28, DOI 10.1016/j.crm.2020.100216
   Sun WJ, 2020, SUSTAIN RESIL INFRAS, V5, P168, DOI 10.1080/23789689.2018.1448663
   Therrien M.-C., 2010, Telescope, V16, P154
   Thorisson H., 2020, RESILIENCE CRITICAL
   Thornbush M, 2013, SUSTAIN CITIES SOC, V9, P1, DOI 10.1016/j.scs.2013.01.003
   Toubin M., 2014, THESIS U PARIS DIDER
   Touili N., 2015, VERTIGO LA REV LECTR, DOI [10.4000/vertigo.16671, DOI 10.4000/VERTIGO.16671]
   Uddin M.S., 2019, RESILIENT STRUCTURES, P379
   USVI Hurricane Task Force, 2018, REP 2018
   Vale L.J., 2005, RESILIENT CITY MODER
   Vendrell-Herrero F, 2017, IND MARKET MANAG, V60, P69, DOI 10.1016/j.indmarman.2016.06.013
   Viatge J., 2017, ASSESSEMENT REPORT 2
   Wallace W.A., 2001, IMPACTS HUMAN RESPON
   Wardekker J.A., 2018, SOLUTIONS, V9, P1
   Warren A., 2011, NRELTP6A2052360
   WATT KEF, 1986, SYST RES, V3, P191, DOI 10.1002/sres.3850030403
   Wildavsky A.B., 1988, SEARCHING SAFETY
   Wille D., 2019, THESIS NAVAL POSTGRA
   Zimmerman R, 2004, IEEE SYS MAN CYBERN, P4059
   Zimmerman R., 2001, IMPACTS HUMAN RESPON
NR 64
TC 6
Z9 6
U1 6
U2 39
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2021
VL 13
IS 9
AR 4972
DI 10.3390/su13094972
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 SC8DQ
UT WOS:000650894800001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Hunt, DVL
   Lombardi, DR
   Farmani, R
   Jefferson, I
   Memon, FA
   Butler, D
   Rogers, CDF
AF Hunt, Dexter V. L.
   Lombardi, D. Rachel
   Farmani, Raziyeh
   Jefferson, Ian
   Memon, Fayyaz A.
   Butler, David
   Rogers, Chris D. F.
TI Urban futures and the code for sustainable homes
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING
   SUSTAINABILITY
LA English
DT Article
DE drainage & irrigation; sewage treatment & disposal; water supply
ID WATER MANAGEMENT; GREYWATER REUSE; RAINWATER; SELECTION; SYSTEMS
AB A 6-6 ha (66 000 m(2)) regeneration site, commonly referred to as Luneside East, is to be turned from a run down, economically under-achieving area of Lancaster, UK, into a new, distinctive, vibrant, sustainable quarter of the city. As a result several aspects of water planning for 350 new homes and 8000 m2 of workspace needed to be considered before any infrastructure investment was undertaken. This included assessment of the future capacity requirements (i.e. inflows and outflows) for water infrastructure (i.e. mains water supply, wastewater disposal, rainwater storage and stormwater disposal) much of which will be located underground. This paper looks at the implications of various water management strategies on the Luneside East site (e.g. water-efficient appliances, greywater recycling and rainwater harvesting) in line with current policy measures that focus on technology changes alone (e.g. the code for sustainable homes). Based on these findings this paper outlines some basic implications for technological resilience discussed in the context of four 'world views' - that is, the urban futures scenarios considered in this special issue. Conclusions are drawn as to how far this can take engineers, planners and developers in understanding and planning for resilient water infrastructure within a development like Luneside East.
C1 [Hunt, Dexter V. L.; Lombardi, D. Rachel; Jefferson, Ian; Rogers, Chris D. F.] Univ Birmingham, Sch Civil Engn, Coll Engn & Phys Sci, Birmingham B15 2TT, W Midlands, England.
   [Farmani, Raziyeh; Memon, Fayyaz A.; Butler, David] Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, Exeter, Devon, England.
C3 University of Birmingham; University of Exeter
RP Hunt, DVL (corresponding author), Univ Birmingham, Sch Civil Engn, Coll Engn & Phys Sci, Birmingham B15 2TT, W Midlands, England.
RI Rogers, Christopher/AAE-2395-2020; Memon, Fayyaz/HTL-4715-2023; Butler,
   David/I-2991-2012; Farmani, Raziyeh/D-3457-2012
OI Butler, David/0000-0001-5515-3416; Farmani, Raziyeh/0000-0001-8148-0488;
   Memon, Fayyaz Ali/0000-0002-0779-083X; Rogers,
   Christopher/0000-0002-1693-1999; Jefferson, Ian/0000-0001-6437-101X
FU Engineering and Physical Sciences Research Council [EP/F007426/1]; EPSRC
   [EP/F007426/1] Funding Source: UKRI
FX The authors wish to thank the Engineering and Physical Sciences Research
   Council for their support during this second round of sustainable urban
   environments (SUE2) funding under grant number EP/F007426/1.
CR [Anonymous], 2001, FORESIGHT, DOI DOI 10.1108/14636680110416788
   [Anonymous], 2009, CENTURY AHEAD 4 GLOB
   [Anonymous], 2010, COD SUST HOM TECHN G
   [Anonymous], ASDF
   Boyko CT, 2012, GLOBAL ENVIRON CHANG, V22, P245, DOI 10.1016/j.gloenvcha.2011.10.004
   Brennan MJ, 2004, P I INT C ONS WAST T
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   BSI, 2009, BS 8515 RAINW HARV S
   Butler D, 2003, J HYDRAUL ENG, V129, P276, DOI 10.1061/(ASCE)0733-9429(2003)129:4(276)
   Butler D., 2011, Urban Drainage, Vthird
   Butler David, 2010, WaND Guidance on Water Cycle Management for New Developments
   Chenoweth J, 2008, DESALINATION, V229, P245, DOI 10.1016/j.desal.2007.09.011
   CLG, 2010, WAT EFF CALC NEW DWE
   Defra (Department for Environment Food and Rural Affairs), 2010, GREEN GOV GUID NEW T
   DeOreo W.B., 2011, California Single-Family Water Use Efficiency Study
   Dimitrov G, 2004, P 9 BAWK SCI PRACT C
   Dixon A, 1999, WATER SCI TECHNOL, V39, P25, DOI 10.2166/wst.1999.0218
   Dixon AM, 1999, J CHART INST WATER E, V13, P322
   Dziegielewski B, 2000, COMM I END US WAT
   EA, 2007, CONS WAT BUILD PRACT
   EA, 2009, INT COMP DOM PER CAP
   EA The Environment Agency, 2010, SC090018 EA
   EC, 2009, STUD WAT PERF BUILD
   EC (European Commission), 2009, STUD WAT EFF STAND
   Eriksson E., 2002, URBAN WATER, V4, P85, DOI [10.1016/S1462-0758(01)00064-4, DOI 10.1016/S1462-0758(01)00064-4]
   Farmani R, 2012, P I CIVIL ENG-ENG SU, V165, P89, DOI 10.1680/ensu.2012.165.1.89
   Fewkes A., 2000, BUILD SERV ENG RES T, V21, P99, DOI [10.1177/014362440002100204, DOI 10.1177/014362440002100204]
   Gascon L, 2004, 2004 WAT SOURC C AUS
   Grant N, 2008, CRITIQUE CSH WATER
   Graymore M, 2010, P 11 BIENN C INT SOC
   Hatt BE, 2006, J ENVIRON MANAGE, V79, P102, DOI 10.1016/j.jenvman.2005.06.003
   HM Government, 2010, SAN HOT WAT WAT EF G
   Holling C.S., 1996, ENG ECOLOGICAL CONST, V1st, DOI 10.17226/4919
   Hunt DVL, 2011, J MT SCI-ENGL, V8, P211, DOI 10.1007/s11629-011-2093-8
   Hunt DVL, 2010, P UNESCO DELPHE INT, P355
   Hunt DVL, 2010, P UNESCO DELPHE INT, P366
   IPCC, 2008, Technical Paper of the Intergovernmental Panel on Climate Change
   IPCC, 2000, SPEC REP EM SCEN
   Jeppesen B, 1996, DESALINATION, V106, P311
   Jones A., 2008, The Open University Household Waste Study: Key findings from 2007
   Lancaster University, 2010, ENV SCI RES MET OFF
   LCC, 2007, SUST APPR COR STRAT
   LCC (Lancaster City Council), 2004, 4 LCC
   Leggett D., 2001, RAINWATER GREYWATER
   Makropoulos CK, 2008, ENVIRON MODELL SOFTW, V23, P1448, DOI 10.1016/j.envsoft.2008.04.010
   Mayer P., 1999, Residential End Uses of Water
   McDonald A, 2011, WATER DISTRIBUTION S
   Memon F.A., 2005, P I CIVIL ENG, V158, P155, DOI [DOI 10.1680/ENSU.2005.158.3, 10.1680/ensu.2005.158.3.155, DOI 10.1680/ENSU.2005.158.3.155]
   Mitchell VG, 2007, HYDROL PROCESS, V21, P2850, DOI 10.1002/hyp.6499
   MTP (Market Transformation Programme), 2008, BATH DES EFF BNWAT07
   Mustow S., 1997, 130342 BSRIA LTD
   Nelson PP, 2012, P GEOC 2012 SAN FRAN
   Nolde E, 2005, WATER SCI TECHNOL, V51, P203, DOI 10.2166/wst.2005.0368
   Nolde E, 2007, DESALINATION, V215, P1, DOI 10.1016/j.desal.2006.10.033
   Pacific Institute, 2003, WAST NOT WANT NOT PO
   Pandey DN, 2003, CURR SCI INDIA, V85, P46
   Randolph B, 2008, ENVIRON SCI POLICY, V11, P441, DOI 10.1016/j.envsci.2008.03.003
   Roebuck RM, 2007, THESIS U BRADFORD BR
   Rogers CDF, 2012, P I CIVIL ENG-ENG SU, V165, P5, DOI 10.1680/ensu.2012.165.1.5
   Rozos E, 2010, J WATER RES PLAN MAN, V136, P531, DOI 10.1061/(ASCE)WR.1943-5452.0000067
   Shirley-Smith C, 2008, P I CIVIL ENG-ENG SU, V161, P113, DOI 10.1680/ensu.2008.161.2.113
   Shirley-Smith C, 2008, WATER ENVIRON J, V22, P287, DOI 10.1111/j.1747-6593.2007.00103.x
   Tal Tom., 2011, Journal of Water Sustainability, V1, P127
   The National Archives, 1999, WATER SUPPLY
   UKCIP, 2011, UKCP09 MAPS FUT CLIM
   United Nation (UN), 2003, WAT PEOPL WAT LIF EX
   Viera P, 2007, P 4 IWA SPEC C EFF U
   Waggett R, 2006, KEY PERFORMANCE INDI
   Ward S, 2010, WATER SCI TECHNOL, V61, P85, DOI 10.2166/wst.2010.783
   Ward S, 2012, WATER ENVIRON J, V26, P184, DOI 10.1111/j.1747-6593.2011.00279.x
   Waterwise, 2007, CHOOS WASH MACH
   Waterwise, 2007, CHOOS DISHW
   Wilson S., 2004, Sustainable drainage systems: hydraulic, structural and water quality advice
   Woods-Ballard B, 2007, The SuDS Manual (C697)
   Yue DPT, 2011, WATER ENVIRON J, V25, P192, DOI 10.1111/j.1747-6593.2009.00209.x
   Zadeh SM, 2010, SUSTAINABLE WORLD EC, V142, P11
   [No title captured]
NR 77
TC 17
Z9 17
U1 1
U2 45
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 MAR
PY 2012
VL 165
IS 1
BP 37
EP 58
DI 10.1680/ensu.2012.165.1.37
PG 22
WC Green & Sustainable Science & Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering
GA 917UF
UT WOS:000302203400004
OA Green Published
DA 2025-04-22
ER

PT J
AU He, B
   Tang, MY
   Zhang, CM
AF He, Bei
   Tang, Mingyue
   Zhang, Chenming
TI Financial technology, regional financial agglomeration, and urban
   economic resilience
SO FINANCE RESEARCH LETTERS
LA English
DT Article
DE Financial technology; Regional financial agglomeration; Urban economic
   resilience
AB Selecting the data of prefecture-level cities from 2012 to 2022, this study investigates the impact of financial technology on urban economic resilience, and explores the possible moderating effect of the degree of regional financial agglomeration. The conclusions show that financial technology promotes the establishment and improvement of urban economic resilience; the higher the degree of regional financial agglomeration, the more financial technology promotes urban economic resilience. Based on the conclusions, it is suggested to make use of the spillover effect of financial information agglomeration, and accelerate the formation of regional financial agglomeration.
C1 [He, Bei; Tang, Mingyue] Henan Univ Econ & Law, Sch Engn Management & Real Estate, Zhengzhou 450046, Peoples R China.
   [Zhang, Chenming] North China Univ Water Resources & Elect Power, Coll Architecture, Zhengzhou 450046, Peoples R China.
C3 Henan University of Economics & Law; North China University of Water
   Resources & Electric Power
RP He, B (corresponding author), Henan Univ Econ & Law, Sch Engn Management & Real Estate, Zhengzhou 450046, Peoples R China.
EM hebei091@163.com; TANGMY612@163.com; zchenming08@163.com
RI Zhang, Chenming/AAH-2363-2020
FU Youth Fund project for Humanities and Social Science Research of the
   Chinese Ministry of Education [22YJCZH047]; Science and Technology Key
   Project of Henan Province [242102321004]; Natural Science Foundation of
   Henan Province [232300421402]
FX This work was supported by Youth Fund project for Humanities and Social
   Science Research of the Chinese Ministry of Education (Grant No.
   22YJCZH047) . This work was supported by Science and Technology Key
   Project of Henan Province (Grant No. 242102321004) . This work was
   supported by Natural Science Foundation of Henan Province (Grant No.
   232300421402) .
CR Akhtaruzzaman M, 2021, FINANC RES LETT, V38, DOI 10.1016/j.frl.2020.101604
   Benkraiem R, 2022, INT REV FINANC ANAL, V81, DOI 10.1016/j.irfa.2022.102136
   CERNY PG, 1994, POLICY SCI, V27, P319, DOI 10.1007/BF01000063
   De Marchi V, 2012, RES POLICY, V41, P614, DOI 10.1016/j.respol.2011.10.002
   Dearing JW, 2018, HEALTH AFFAIR, V37, P183, DOI 10.1377/hlthaff.2017.1104
   Espinoza R, 2012, J FORECASTING, V31, P15, DOI 10.1002/for.1212
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Feng Y, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104273
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Hallegatte S., 2014, Policy Research and Working Paper, DOI [10.1111/j.1468-0289.1930.tb00792.x, DOI 10.1111/J.1468-0289.1930.TB00792.X]
   Hill Edward., 2008, EXPLORING REGIONAL E
   Hoechle D, 2007, STATA J, V7, P281, DOI 10.1177/1536867X0700700301
   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
   Qu CY, 2020, ENERG POLICY, V146, DOI 10.1016/j.enpol.2020.111810
   Ruibo L., 2020, Econ. Manage. Rev.
   Suryono RR, 2020, INFORMATION, V11, DOI 10.3390/info11120590
   Ye CH, 2018, J CLEAN PROD, V200, P65, DOI 10.1016/j.jclepro.2018.07.253
   Yuan HX, 2020, J CLEAN PROD, V244, DOI 10.1016/j.jclepro.2019.118670
NR 19
TC 1
Z9 1
U1 79
U2 111
PU ACADEMIC PRESS INC ELSEVIER SCIENCE
PI SAN DIEGO
PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
SN 1544-6123
EI 1544-6131
J9 FINANC RES LETT
JI Financ. Res. Lett.
PD OCT
PY 2024
VL 68
AR 105990
DI 10.1016/j.frl.2024.105990
EA AUG 2024
PG 8
WC Business, Finance
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA F0J8Y
UT WOS:001306780300001
DA 2025-04-22
ER

PT J
AU Zhu, HY
   Qin, MM
AF Zhu, Huayou
   Qin, Manman
TI How Digital Transformation Affects Urban Resilience: Empirical Evidence
   from the Yangtze River Delta Region
SO SUSTAINABILITY
LA English
DT Article
DE digital transformation; urban resilience; Yangtze River Delta region
AB The current regional development crisis and opportunities coexist. On the one hand, the economic environment is complex and volatile, with more and more crisis shocks testing the resilience of urban development, while on the other hand, the rapid development of science and technology such as the digital economy has affected all areas of the economy, life, and governance of cities, bringing opportunities for urban development. The use of digital transformation to enhance urban resilience is therefore an obvious and important topic. Based on panel data of 27 cities in the Yangtze River Delta from 2011 to 2020, this study empirically analyses the impact of digital transformation on urban resilience by constructing a fixed effects model, a mediated effects model and a spatial Du bin model. The study finds that: (1) In terms of time, the urban resilience and digital transformation capacity of the Yangtze River Delta region are both on the rise; From a spatial point of view, the urban resilience of the Yangtze River Delta region basically shows a spatial distribution pattern of "high in the central cities, and low in the peripheral cities", while the digital transformation capacity basically shows a pattern of "high in the east-central region, and low in the west". (2) Digital transformation has a significant positive impact on improving urban resilience; (3) Digital transformation enhances urban resilience through three main paths: technological innovation capacity, new economic sector development momentum, and innovation and entrepreneurship development vitality; (4) Digital transformation has a spatial spillover effect on the urban resilience of neighboring regions.
C1 [Zhu, Huayou; Qin, Manman] Zhejiang Normal Univ, Sch Econ & Management, Jinhua 321017, Peoples R China.
C3 Zhejiang Normal University
RP Qin, MM (corresponding author), Zhejiang Normal Univ, Sch Econ & Management, Jinhua 321017, Peoples R China.
EM qmm908319828@163.com
FU Zhejiang Provincial Social Science Planning Project "The Mechanism and
   Realization Path of Digital Enabling Industrial Cluster Resilience"
   [23NDJC109YB]
FX This research was funded by the Zhejiang Provincial Social Science
   Planning Project "The Mechanism and Realization Path of Digital Enabling
   Industrial Cluster Resilience" (23NDJC109YB).
CR Alberti M, 2005, INT REGIONAL SCI REV, V28, P168, DOI 10.1177/0160017605275160
   [Anonymous], 2022, OPINIONS COMPREHENSI
   Chen T., 2021, Economic and Management Research, V42, P30
   [陈晓红 Chen Xiaohong], 2020, [地理科学, Scientia Geographica Sinica], V40, P2000
   Chi M., 2020, Nankai Business Review, V23, P63
   Chu T.J., 2022, GLOB URBAN STUD ENGL, V3, P140
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Duan X., 2022, XINJIANG FINANC EC, V42, P5
   Ferreira JJM, 2019, J BUS RES, V101, P583, DOI 10.1016/j.jbusres.2018.11.013
   [高志刚 Gao Zhigang], 2021, [科技导报（北京）, Science & Technology Review], V39, P118
   Guo A., 2022, ULTRASOUND OBST GYN, V42, P1
   Hess T, 2016, MIS Q EXEC, V15, P123
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu Y., 2022, J E CHINA NORMAL U H, V54, P143, DOI DOI 10.16382/J.CNKI.1000-5579.2022.01.013
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jiang Z., 2022, GLOB URBAN STUD ENGL, V3, P128
   Jing L.B., 2021, Guizhou Soc. Sci, V373, P108, DOI [10.13713/j.cnki.cssci.2021.01.014, DOI 10.13713/J.CNKI.CSSCI.2021.01.014]
   Li B. Z., 2022, SYSTEMS ENG, V40, P57
   Li D., 2021, MOD IND EC INFORM, V11, P13
   Li L, 2018, INFORM SYST J, V28, P1129, DOI 10.1111/isj.12153
   Li Y., 2022, GLOB URBAN STUD, V3, P52
   Li Y., 2022, REG EC REV, V2, P88
   Liu V., 2021, YANGTZE RIVER BASIN, V30, P1527
   Lu F. Y., 2021, World Reg. Stud, V30, P589, DOI [10.3969/j.issn.1004-9479.2021.03.2019717, DOI 10.3969/J.ISSN.1004-9479.2021.03.2019717]
   Ma W., 2021, XINHUA DLY, V9, P1
   Meng T., 2021, EC MANAGEMENT, V35, P24
   Pan A.M., 2022, J JILIN IND BUS COLL, V38, P5
   Qian S.H., 2017, CHINA PERSPECT-SER, V3, P9
   [仇保兴 Qiu Baoxing], 2018, [城市发展研究, Urban Studies], V25, P1
   Reggiani A, 2013, TRANSPORT POLICY, V28, P63, DOI 10.1016/j.tranpol.2012.09.007
   Resilience Alliance, 2007, URB RES RES PROSP, VVolume 7, P2
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Shi T., 2022, REG EC REV, V1, P139
   Shi Y., 2022, Journal of Beijing Jiaotong University (Social Sciences Edition), V21, P14, DOI 10.16797/j.cnki.11-5224/c.20220420.008
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Tao X.D., 2023, URBAN PLAN, V20, P1
   Tapscot Dont., 1996, DIGITAL EC PROMISE P
   Wei L., 2022, Res. Quant. Econ. Technol. Econ, V39, P60
   Wu F., 2021, MANAGE WORLD, V37, P130, DOI DOI 10.19744/J.CNKI.11-1235/F.2021.0097
   Xiao X.Y., 2023, J TSINGHUA U NAT SCI, V3, P1
   Xiong L., 2020, E CHINA EC MANAGEMEN, V34, P1, DOI DOI 10.19629/J.CNKI.34-1014/F.200924016
   Xu W., 2022, Geogr. Res, V41, P111, DOI DOI 10.11821/DLYJ020210459
   Yang W.B, 2022, EC SYST REFORM, V1, P111
   Yuan C., 2021, China Industrial Economics, V9, P137, DOI [10.19581/j.cnki.ciejournal.2021.09.007, DOI 10.19581/J.CNKI.CIEJOURNAL.2021.09.007]
   Zhai Y., 2021, E GOVT, V6, P67
   Zhang C., 2021, J PHYS CHEM C, V7, P123
   Zhang L.-G., 2022, SCI TECHNOLOGY MANAG, V42, P68
   Zhao C., 2021, Finance Trade Economics, V07, P114, DOI DOI 10.19795/J.CNKI.CN11-1166/F.20210705.001
   [赵瑞东 Zhao Ruidong], 2020, [地理科学进展, Progress in Geography], V39, P1717
   Zhao T., 2020, J. Manage. World, V36, P65
   Zhao X., 2018, N EC, V11, P25
   Zhou X., 2021, Shanghai Journal of Economics, V12, P51, DOI [DOI 10.19626/J.CNKI.CN31-1163/F.2021.12.006, 10.19626/j.cnki.cn31-1163/f.2021.12.006]
   Zhu J, 2021, MOD EC RES, V10, P1
   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]
NR 56
TC 4
Z9 4
U1 32
U2 188
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 7
AR 6221
DI 10.3390/su15076221
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 F6HH3
UT WOS:000983328800001
OA gold
DA 2025-04-22
ER

PT J
AU Li, GY
   Cheng, G
   Wu, ZY
AF Li, Guiyuan
   Cheng, Guo
   Wu, Zhenying
TI Resilience Assessment of Urban Complex Giant Systems in Hubei Section of
   the Three Gorges Reservoir Area Based on Multi-Source Data
SO SUSTAINABILITY
LA English
DT Article
DE multi-source data; resilience; urban giant system; Three Gorges
   Reservoir Area; PSR model; Geodetector
ID SEISMIC RESILIENCE; DECISION-MAKING; PATTERN; CITIES
AB Due to a lack of guidance in urban systems thinking, China's rapid urbanization has intensified the interactions and coercive effects between the various urban space subsystems. As a result, "urban diseases" such as environmental pollution, frequent earthquakes, and unbalanced urban-rural development have spread. As a complex giant system, the exploration of urban resilience enhancement is critical to ensuring the joint spatial development of cities and towns. Based on the PSR model, this study screens 38 indicators in five levels of the natural-material-economic-social-intelligent regulation subsystem of the Three Gorges Reservoir Area urban giant system, and constructs a multi-source data resilience assessment framework. Likewise, it employs the Geodetector model to investigate the key factors impacting the resilience mechanism. The results demonstrate that: (1) between 2011 and 2020, the overall resilience in the Hubei section of the Three Gorges Reservoir Area increased from low to high and the coupled characterization of the "pressure-state-response" increased at different rates, with the state layer increasing the most; (2) the frequency of geological hazards, urbanization rate, and total number of early warning and monitoring of geological hazards are the key factors that contribute to changes in spatial resilience; (3) enhanced resilience is the result of the synergistic effects of different driving factors. Our model is used to assess the resilience of the urban system, assisting decision-makers in planning strategies to respond to urban system problems effectively and improve urban resilience.
C1 [Li, Guiyuan; Cheng, Guo; Wu, Zhenying] Hubei Univ Technol, Sch Civil Engn Architecture & Environm, Wuhan 430068, Peoples R China.
C3 Hubei University of Technology
RP Li, GY (corresponding author), Hubei Univ Technol, Sch Civil Engn Architecture & Environm, Wuhan 430068, Peoples R China.
EM lgy@hbut.edu.cn; 102100785@hbut.edu.cn; jiaotangwzy@gmail.com
OI Cheng, Guo/0000-0002-1849-0496; Li, Guiyuan/0000-0002-4386-3573; Wu,
   Zhenying/0000-0003-3062-0094
FU National Natural Science Foundation of China [52078193, 52008157];
   Doctoral Fund of Hubei University of Technology [BSQD2020047]
FX This research was funded by the National Natural Science Foundation of
   China: "Research on Multidimensional Coupling Enhancement of the
   Resilience of the `City-Rural' Space Complex Giant System in the Three
   Gorges Reservoir Area" (52078193), Doctoral Fund of Hubei University of
   Technology: "Study on the vulnerability multi-dimensional coupling
   coercion of the complex system of "city-town" space in the Three Gorges
   reservoir area" (BSQD2020047) and the National Natural Science
   Foundation of China: "Research on the formation mechanism and
   development evolution of Nanjing modern educational architecture from
   the perspective of pedagogy (1840-1949)" 52008157).
CR [Anonymous], MULT DAT AN
   [Anonymous], 1999, China Statistical Yearbook and China Agricultural Statistical Yearbook
   Batty M., 2007, Cities and complexity: Understanding cities with cellular automata, agentbased models, and fractals
   Boccara N, 2010, GRAD TEXTS PHYS, P1, DOI 10.1007/978-1-4419-6562-2
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Cai JX, 2017, REMOTE SENS ENVIRON, V202, P210, DOI 10.1016/j.rse.2017.06.039
   Carli R, 2018, J ENVIRON MANAGE, V226, P46, DOI 10.1016/j.jenvman.2018.07.075
   Chen M., 2018, THESIS U CHONGQING C
   Chu L., 2020, J IND TECHNOL EC, V39, P145, DOI DOI 10.3969/J.ISSN.1004-910X.2020.09.018
   Cimellaro GP, 2010, STRUCT INFRASTRUCT E, V6, P127, DOI 10.1080/15732470802663847
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Delgado A, 2016, ENVIRON MODELL SOFTW, V77, P108, DOI 10.1016/j.envsoft.2015.12.011
   [杜金莹 Du Jinying], 2020, [自然灾害学报, Journal of Natural Disasters], V29, P88
   Erker S, 2017, J CLEAN PROD, V164, P420, DOI 10.1016/j.jclepro.2017.06.163
   Ettema D, 1996, SCI ENG MED
   Fan J, 2012, CHINESE GEOGR SCI, V22, P196, DOI 10.1007/s11769-012-0528-y
   Fan WC, 2022, ENG OPTIMIZ, V54, P830, DOI 10.1080/0305215X.2021.1901087
   Feng S., 2016, THESIS IANGSU U SCI
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Gorgij AD, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6589-6
   Gunderson Lance H., 1995, BARRIERS BRIDGES REN
   [何炬 He Ju], 2022, [地理科学, Scientia Geographica Sinica], V42, P185
   He Z., 2021, THESIS 3 GORGES U YI
   [黄金川 Huang Junchuan], 2004, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V13, P153
   Jiang J., 2022, ALEX ENG J, V61, P5059, DOI [10.1016/j.aej.2021.09.0311110-0168, DOI 10.1016/J.AEJ.2021.09.0311110-0168]
   Li G., 2016, RESOUR DEV MARKET, V32, P1323
   Li G., 2015, THESIS
   Lin YZ, 2022, ENVIRON SCI POLLUT R, V29, P39807, DOI 10.1007/s11356-021-18235-2
   Lu X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14053112
   Naaman Mor, 2012, P INT AAAI C WEB SOC, V6, P258
   [彭翀 Peng Chong], 2021, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V30, P1795
   Peng HJ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158490
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   [秦萧 Qin Xiao], 2013, [地理科学进展, Progress in Geography], V32, P1352
   Shahfahad, 2021, GEOJOURNAL, V86, P1607, DOI 10.1007/s10708-020-10148-w
   Shearmur R, 2015, URBAN GEOGR, V36, P965, DOI 10.1080/02723638.2015.1050922
   Sorrentino C., 2005, OECD FACTBOOK 2005 E
   Sun XD, 2021, LAND USE POLICY, V106, DOI 10.1016/j.landusepol.2021.105460
   Tu J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13074008
   Walker BH, 2020, ECOL SOC, V25, DOI 10.5751/ES-11647-250211
   Walker BH, 2009, ECOL SOC, V14
   Wang D., 2019, THESIS WUHAN U WUHAN
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wang Q, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103782
   Wang XN, 2018, ENVIRON SCI TECHNOL, V52, P3257, DOI 10.1021/acs.est.7b04659
   Wang XN, 2017, COMPUT-AIDED CHEM EN, V40C, P2377, DOI 10.1016/B978-0-444-63965-3.50398-6
   [王中兴 Wang Zhongxin], 2003, [应用数学与计算数学学报, Communication on Applied Mathematics and Computation], V17, P55
   Wu L.Y., 2001, Introduction to Sciences of Human Settlements
   Xue X., 2020, COMPUTATIONAL EXPT M
   Yang T, 2019, INT J CLIMATOL, V39, P2833, DOI 10.1002/joc.5976
   [杨振山 Yang Zhenshan], 2021, [地理研究, Geographical Research], V40, P477
   Yuan L., 2021, THESIS GUANGZHOU U G
   Zhang X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042023
   [张学珍 Zhang Xuezhen], 2021, [地理研究, Geographical Research], V40, P1134
   Zhao CR, 2014, SUSTAINABILITY-BASEL, V6, P2281, DOI 10.3390/su6042281
   Zhao Y., 2020, THESIS CHONGQING U C
   Zhou G.Z., 2002, CITY PLAN REV, V26, P7
   Zhou Y, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102918
NR 58
TC 8
Z9 8
U1 7
U2 82
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 8423
DI 10.3390/su14148423
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 3K1ZR
UT WOS:000833882300001
OA gold
DA 2025-04-22
ER

PT J
AU Acuti, D
   Bellucci, M
   Manetti, G
AF Acuti, Diletta
   Bellucci, Marco
   Manetti, Giacomo
TI Company disclosures concerning the resilience of cities from the
   Sustainable Development Goals (SDGs) perspective
SO CITIES
LA English
DT Article
DE Urban resilience; SDGs; Sustainability reporting; Cities; Content
   analysis; GRI
ID CROSS-SECTOR PARTNERSHIPS; URBAN RESILIENCE; CLIMATE-CHANGE;
   VULNERABILITY; REGIONS; STAKEHOLDERS; UNCERTAINTY; GOVERNANCE;
   INDICATORS; CHALLENGES
AB Although companies are decisive in contributing to urban resilience, unresolved questions remain about which practices they can implement. Considering that the concept of resilience is acknowledged both explicitly and implicitly in a range of Sustainable Development Goals (SDGs), this research aims to fill the existing gap between theoretical considerations about the role of companies in fostering urban resilience and the practices they implement and disclose. First, we build a theoretical framework based on strategic and instrumental components that can support the contribution of companies to urban resilience. Subsequently, we analyze 138 sustainability reports from organizations operating in Italy and Japan to identify how the SDGs, in particular those targets concerning environmental and social resilience, are implemented in their activities and communicated in their nonfinancial reports. Because greater attention to disclosures on the impacts of companies on resilience is a starting point for action towards achieving the SDGs, this study provides new insights into the contribution of companies to the resilience of cities, thus advancing the literature on the link between business and urban resilience.
C1 [Acuti, Diletta] Univ Portsmouth, Dept Mkt, Portland St, Portsmouth PO1 3DE, Hants, England.
   [Bellucci, Marco; Manetti, Giacomo] Univ Florence, Dept Econ & Management, Via Pandette 32, I-50127 Florence, Italy.
   [Acuti, Diletta] Univ Portsmouth, Mkt, Portsmouth, Hants, England.
   [Bellucci, Marco; Manetti, Giacomo] Univ Florence, Dept Econ & Management, Accounting, Florence, Italy.
C3 University of Portsmouth; University of Florence; University of
   Portsmouth; University of Florence
RP Manetti, G (corresponding author), Univ Florence, Dept Econ & Management, Via Pandette 32, I-50127 Florence, Italy.; Manetti, G (corresponding author), Univ Florence, Dept Econ & Management, Accounting, Florence, Italy.
EM diletta.acuti@port.ac.uk; marco.bellucci@unifi.it;
   giacomo.manetti@unifi.it
RI Manetti, Giacomo/J-1948-2012; Bellucci, Marco/I-4254-2015
OI acuti, diletta/0000-0002-4609-6736; Bellucci, Marco/0000-0002-4014-4418
CR Abbott J, 2009, J PLAN EDUC RES, V28, P503, DOI 10.1177/0739456X08330976
   Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   [Anonymous], NATURAL CATASTROPHES
   [Anonymous], GLOBAL GOALS
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   [Anonymous], VULN RES COUNTR PROF
   [Anonymous], TOPICS GEO
   [Anonymous], CONS SET STAND
   [Anonymous], 2018, 100 Resilient Cities (b) - Santiago de Chile's Pocket Parks
   [Anonymous], CLIMATE ACTION
   [Anonymous], PRIM RAPP ANCE CRESM
   [Anonymous], HYDR INST IT HAZ RIS
   Bahadur A., 2015, Resilience in the SDGs: developing an indicator for Target 1.5 that is fit for purpose
   Bebbington J, 2018, ACCOUNT AUDIT ACCOUN, V31, P2, DOI 10.1108/AAAJ-05-2017-2929
   Bellucci M., 2018, STAKEHOLDER ENGAGEME
   Bellucci M, 2019, ACCOUNT AUDIT ACCOUN, V32, P1467, DOI 10.1108/AAAJ-09-2017-3158
   Bellucci M, 2017, ACCOUNT AUDIT ACCOUN, V30, P874, DOI 10.1108/AAAJ-07-2015-2122
   Berelson B., 1952, Content Analysis in Communication Research
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Biggeri M, 2011, CHILDREN AND THE CAPABILITY APPROACH, P1, DOI 10.1057/9780230308374
   Biggeri M, 2017, J HUM DEV CAPABIL, V18, P299, DOI 10.1080/19452829.2017.1306690
   Booher DE, 2010, ECOL SOC, V15
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Bryman A., 2007, Business research methods
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Campbell-Arvai V, 2019, URBAN ECOSYST, V22, P409, DOI 10.1007/s11252-018-0821-3
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chen CW, 2012, NAT HAZARDS, V64, P1391, DOI 10.1007/s11069-012-0305-3
   Ciani F., 2016, Regions Magazine, V302, P23, DOI [10.1080/13673882.2016.11742705, DOI 10.1080/13673882.2016.11742705]
   Coaffee J., 2006, International Relations, V20, P503, DOI DOI 10.1177/0047117806069416
   Coaffee J, 2013, POLITICS-OXFORD, V33, P240, DOI 10.1111/1467-9256.12011
   Cumming GS, 2011, LANDSCAPE ECOL, V26, P899, DOI 10.1007/s10980-011-9623-1
   de Jong M, 2015, J CLEAN PROD, V109, P25, DOI 10.1016/j.jclepro.2015.02.004
   De Montis A, 2016, LAND USE POLICY, V50, P312, DOI 10.1016/j.landusepol.2015.10.004
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Diouf D, 2017, ACCOUNT AUDIT ACCOUN, V30, P643, DOI 10.1108/AAAJ-04-2015-2044
   Elo S, 2008, J ADV NURS, V62, P107, DOI 10.1111/j.1365-2648.2007.04569.x
   Gellers JC, 2016, INT ENVIRON AGREEM-P, V16, P415, DOI 10.1007/s10784-016-9322-0
   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
   Caiado RGG, 2018, J CLEAN PROD, V198, P1276, DOI 10.1016/j.jclepro.2018.07.102
   Guthrie J., 2004, Journal of Intellectual Capital, V5, P282, DOI [DOI 10.1108/14691930410533704, 10.1108/14691930410533704/f]
   Hediger W., 2008, 82 ANN C SUST SOC RE
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Hudec O, 2018, CITIES, V73, P24, DOI 10.1016/j.cities.2017.10.004
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   Hutter G, 2016, ENVIRON SCI POLICY, V55, P302, DOI 10.1016/j.envsci.2015.07.028
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Koch F, 2018, FUTURE CITY, V10, P77, DOI 10.1007/978-3-319-59324-1_5
   Krippendorff K., 2018, Content Analysis: an Introduction to its Methodology
   Kyngas H., 1999, Hoitotiede, V11, P3
   Le Ber MJ, 2010, BUS SOC, V49, P140, DOI 10.1177/0007650309345457
   Lee YJ, 2014, ENVIRON IMPACT ASSES, V44, P31, DOI 10.1016/j.eiar.2013.08.002
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   Luederitz C, 2013, LANDSCAPE URBAN PLAN, V118, P40, DOI 10.1016/j.landurbplan.2013.06.002
   Manetti G, 2016, ACCOUNT AUDIT ACCOUN, V29, P985, DOI 10.1108/AAAJ-08-2014-1797
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Milliman J., 2004, Environmental Quality Management, V13, P25, DOI DOI 10.1002/TQEM.20002
   Milne M.J., 1999, ACCOUNT AUDIT ACCOUN, V12, P237, DOI DOI 10.1108/09513579910270138
   Normandin JM, 2016, J CONTING CRISIS MAN, V24, P107, DOI 10.1111/1468-5973.12107
   Olazabal M, 2018, LECT N ENERG, V65, P195, DOI 10.1007/978-3-319-75798-8_11
   Oliva S., 2018, City, Culture and Society, V15, P53, DOI DOI 10.1016/J.CCS.2018.05.005
   Oliva S, 2017, EUR PLAN STUD, V25, P67, DOI 10.1080/09654313.2016.1260093
   Pahl-Wostl C, 2006, ECOL SOC, V11
   Peltokorpi A, 2018, CONSTR MANAG ECON, V36, P32, DOI 10.1080/01446193.2017.1353119
   Pinkse J, 2012, BUS SOC, V51, P176, DOI 10.1177/0007650311427426
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   Rainey HJ, 2015, ORYX, V49, P232, DOI 10.1017/S0030605313001476
   Reggiani A, 2015, TRANSPORT RES A-POL, V81, P4, DOI 10.1016/j.tra.2014.12.012
   Rimmel G, 2013, ACCOUNT AUDIT ACCOUN, V26, P746, DOI 10.1108/AAAJ-02-2013-1228
   Sachs JD, 2012, LANCET, V379, P2206, DOI 10.1016/S0140-6736(12)60685-0
   Saldaña-Zorrilla SO, 2008, GLOBAL ENVIRON CHANG, V18, P583, DOI 10.1016/j.gloenvcha.2008.09.004
   Selsky JW, 2005, J MANAGE, V31, P849, DOI 10.1177/0149206305279601
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Testi E, 2017, VOLUNTAS, V28, P2403, DOI 10.1007/s11266-017-9875-8
   Thorne L, 2014, ACCOUNT AUDIT ACCOUN, V27, P686, DOI 10.1108/AAAJ-07-2013-1393
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 81
TC 44
Z9 46
U1 9
U2 81
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 2020
VL 99
AR 102608
DI 10.1016/j.cities.2020.102608
PG 14
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA LD4YX
UT WOS:000526037400004
DA 2025-04-22
ER

PT J
AU Boschetti, F
   Gaffier, C
   Moglia, M
   Walke, I
   Price, J
AF Boschetti, Fabio
   Gaffier, Claire
   Moglia, Magnus
   Walke, Iain
   Price, Jennifer
TI Citizens' perception of the resilience of Australian cities
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Resilience; Urban resilience; Urban growth; Urban development;
   Australia; Australian cities
ID CLIMATE-CHANGE; POLICIES; FUTURE; RISK
AB How well does the general public understand the concept of urban resilience? We address this question via an online survey of 500+ citizens living in three large Australian cities (Sydney, Melbourne and Perth). The majority of respondents claim not to know what urban resilience means. Of the remaining respondents, understanding ranges from poor to sophisticated. To circumvent this stated lack of understanding, we cast the concept of urban resilience into a more familiar framework consisting of risk and ability to cope with threats. This allows us to assess perceptions about what may challenge the resilience of Australian cities. Two concerns clearly emerge: (1) violence and social unrest and (2) environmental threats. Analysing a number of constructs from the social psychology literature reveals that these two concerns hold different cognitive signatures, whose understanding may facilitate discussion and communication within a public engagement process.
C1 [Boschetti, Fabio; Moglia, Magnus; Walke, Iain; Price, Jennifer] Commonwealth Sci & Ind Org, Canberra, ACT, Australia.
   [Boschetti, Fabio] Univ Western Australia, 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), Commonwealth Sci & Ind Org, Canberra, ACT, Australia.; Boschetti, F (corresponding author), Univ Western Australia, Sch Earth & Geog Sci, Crawley, Australia.
EM Fabio.Boschetti@csiro.au
RI Price, Jennifer/D-3004-2011; Price, Jennifer/LQK-3701-2024; Moglia,
   Magnus/C-8575-2011; Boschetti, Fabio/A-1607-2015
OI Price, Jennifer/0000-0001-9252-399X; Moglia, Magnus/0000-0002-8290-610X;
   Boschetti, Fabio/0000-0001-8999-6913
CR [Anonymous], MELB RES CHALL
   [Anonymous], IEEE ENG MANAG REV
   [Anonymous], SAPI EN S SURV PERSP
   [Anonymous], SYDN RES CHALL
   [Anonymous], PROG HUM GEOG
   [Anonymous], 2015, Transformation Investments and Business Impacts Version 0.2, DOI DOI 10.1007/S11069-014-1328-8
   [Anonymous], 2010, TRENDS ISS CRIME CRI
   [Anonymous], GLOB ENV CHANG UNPUB
   [Anonymous], 10 MOST IMPORTANT IS
   Barkham R., 2014, Resilient cities: a Grosvenor research report
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Blecic I., 2013, ULP, V14, P269, DOI [10.1007/978-94-007-6037-017, DOI 10.1007/978-94-007-6037-017]
   Bord RJ, 1997, SOC SCI QUART, V78, P830
   Boschetti F, 2016, TECHNOL FORECAST SOC, V111, P76, DOI 10.1016/j.techfore.2016.06.009
   Boschetti F, 2016, ECOL MODEL, V322, P71, DOI 10.1016/j.ecolmodel.2015.11.009
   Bruntland G.H., 1987, Our Common Future: The Report of the World Commission on Environment and Development (the "Bruntland Commission")
   Cork S.J., 2015, Australia 2050: Structuring Conversations About Our Future
   Cronin MA, 2009, ORGAN BEHAV HUM DEC, V108, P116, DOI 10.1016/j.obhdp.2008.03.003
   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
   Henstra D, 2012, J COMP POLICY ANAL, V14, P175, DOI 10.1080/13876988.2012.665215
   Hunt DVL, 2012, SUSTAINABILITY-BASEL, V4, P740, DOI 10.3390/su4040740
   Kahan DM, 2011, J RISK RES, V14, P147, DOI 10.1080/13669877.2010.511246
   Lamond JE, 2009, PROC INST CIV ENG-U, V162, P63, DOI 10.1680/udap.2009.162.2.63
   Lowe M, 2015, URBAN POLICY RES, V33, P131, DOI 10.1080/08111146.2014.1002606
   Major Cities Unit, 2012, STAT AUSTR CIT 2012
   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
   Meerow Sara., 2016, Urban Geography
   Moxnes E, 1998, J ECON BEHAV ORGAN, V37, P107, DOI 10.1016/S0167-2681(98)00079-1
   Moxnes E, 2000, SYST DYNAM REV, V16, P325, DOI 10.1002/sdr.201
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   O'Riordan T, 1999, GLOBAL ENVIRON CHANG, V9, P81, DOI 10.1016/S0959-3780(98)00030-2
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Pratto F., 2013, J SOC POLIT PSYCHOL, V1, P132, DOI DOI 10.5964/JSPP.V1I1.97
   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
   SAGE AP, 1980, IEEE T SYST MAN CYB, V10, P425, DOI 10.1109/TSMC.1980.4308532
   Stanovich K.E., 1999, Who is Rational? Studies of Individual Differences in Reasoning
   Sterman JD, 2008, SCIENCE, V322, P532, DOI 10.1126/science.1162574
   STRATHMAN A, 1994, J PERS SOC PSYCHOL, V66, P742, DOI 10.1037/0022-3514.66.4.742
   Thompson M., 2015, Coping with change: urban resilience, sustainability, adaptability and path dependence
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2009, SCIENCE, V325, P1345, DOI 10.1126/science.1175325
NR 45
TC 12
Z9 12
U1 4
U2 50
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 2017
VL 12
IS 3
BP 345
EP 364
DI 10.1007/s11625-017-0429-1
PG 20
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA ES8DD
UT WOS:000399781600001
DA 2025-04-22
ER

PT J
AU Attoh-Okine, NO
   Cooper, AT
   Mensah, SA
AF Attoh-Okine, Nii O.
   Cooper, Adrienne T.
   Mensah, Stephen A.
TI Formulation of Resilience Index of Urban Infrastructure Using Belief
   Functions
SO IEEE SYSTEMS JOURNAL
LA English
DT Article
DE Belief functions; resilience index; urban infrastructure
ID SYSTEMS
AB Most urban infrastructure are interdependent in various ways. A variety of qualitative explanations are presented in the literature to analyze and address resiliency and vulnerability. Unfortunately, most of the explanation do not provide an objective resilience index computation. This paper attempts to develop a resilience index for urban infrastructure using a belief function framework. The belief function framework can handle subjective, independent information and hierarchical data, all of which are characteristics of the inputs required for proper resilience index analyses. The steps of the analyses are presented using a prototype urban highway infrastructure network.
C1 [Attoh-Okine, Nii O.; Mensah, Stephen A.] Univ Delaware, Newark, DE 19711 USA.
   [Cooper, Adrienne T.] Florida A&M Univ, Tallahassee, FL 32307 USA.
C3 University of Delaware; State University System of Florida; Florida A&M
   University
RP Attoh-Okine, NO (corresponding author), Univ Delaware, Newark, DE 19711 USA.
EM okine@UDel.Edu
OI Cooper, Adrienne/0000-0002-4780-6410
CR ADERINLEWO F, 2007, ANN TRANSP RES UNPUB
   [Anonymous], BRIDGE
   [Anonymous], 2006, Resilience Engineering
   Arboleda C.A., 2006, Joint International Conference on Computing and Decision Making in Civil and Building Engineering (Montreal, June 14-16), P3020
   Attoh-Okine NO, 2002, IEEE T SYST MAN CY C, V32, P243, DOI 10.1109/TSMCC.2002.804443
   ATTOHOKINE N, 2001, ASCE J URBAN PLANN D, P126
   Branscomb LM, 2006, TECHNOL SOC, V28, P225, DOI 10.1016/j.techsoc.2005.10.004
   DUEFIASOSORIO L, 2007, EARTHQ ENG STRUCT D, V36, P285
   Fiksel J, 2003, ENVIRON SCI TECHNOL, V37, P5330, DOI 10.1021/es0344819
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   HELLER M, 2002, P 7 ANN S FRONT ENG
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C. S., PANARCHY UNDERSTANDI, P63
   LEBEL L, 2006, CONCEPTS PRACTICES R
   LI Y, WATER RESOURCES, V43
   Longstaff TA, 2002, IEEE T SYST MAN CY A, V32, P260, DOI 10.1109/TSMCA.2002.1021113
   RINALDI SM, 2001, IEEE CONTROL SYS DEC, V21
   Shafer G., 1976, MATH THEORY EVIDENCE
   Tierney K., 2007, CONCEPTUALIZING MEAS, V250, P14
   Walker B, 2004, ECOL SOC, V9
   Watts DJ, 2002, P NATL ACAD SCI USA, V99, P5766, DOI 10.1073/pnas.082090499
NR 21
TC 128
Z9 160
U1 9
U2 126
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1932-8184
EI 1937-9234
J9 IEEE SYST J
JI IEEE Syst. J.
PD JUN
PY 2009
VL 3
IS 2
BP 147
EP 153
DI 10.1109/JSYST.2009.2019148
PG 7
WC Computer Science, Information Systems; Engineering, Electrical &
   Electronic; Operations Research & Management Science; Telecommunications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Operations Research & Management Science;
   Telecommunications
GA 549CF
UT WOS:000274018900002
DA 2025-04-22
ER

PT J
AU Al-Ramadan, B
   Aldosary, AS
   Kafy, AA
   Alsulamy, S
   Rahaman, ZA
AF Al-Ramadan, Baqer
   Aldosary, Adel S.
   Kafy, Abdulla Al
   Alsulamy, Saleh
   Rahaman, Zullyadini A.
TI Unraveling the spatiotemporal dynamics of relative humidity in major
   Saudi Arabian cities: A synergy of climate modeling, regression
   analysis, and wavelet coherence
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
DE Meteorological factors; Humidity trends; Temperature influences;
   Regression model; Climate resilience; Infrastructure planning
ID TEMPERATURE-CHANGES; TREND ANALYSIS; REGION
AB In the rapidly changing climate of arid desert regions, evaluating the comprehensive characteristics of humidity levels is crucial for agricultural, urban, and infrastructural planning, as well as for minimizing potential public health impacts. We investigated variability and trends of humidity levels in major Saudi Arabian cities during 1982-2022, focusing on the influence of meteorological factors such as average, maximum and minimum temperature, rainfall, and windspeed. Employing the Probability Density Function and descriptive statistics, variability of climatic factors was analyzed. The Mann-Kendall Test (MKT) and Innovative Trend Analysis (ITA) were employed to identify monthly and annual trends. The magnitude and changing patterns were determined by calculating Sen's Slope and ITA slope. Findings of the MKT and ITA showed similar trends in humidity levels across all the cities. ITA result revealed that humidity in Riyadh and Taif decreased at a rate of 0.012% and 0.016% per year, respectively, while increased in Jeddah, Makkah, and Madinah at a 0.05 confidence level. The influence of climatic factors on humidity was assessed using Pearson's correlation coefficients, multiple regression model, and wavelet transform coherence (WTC) for each city, pinpointing temperature as the key driver of humidity variability. The dominance of temperature features was corroborated by strong power spectrums in the WTC across various time periods and scales. The in-depth analysis of humidity dynamics in this study provides critical insights for the development of climate-resilient infrastructure and formulation of public health strategies in Saudi Arabian cities.
C1 [Al-Ramadan, Baqer; Aldosary, Adel S.] King Fahd Univ Petr & Minerals KFUPM, Dept Architecture & City Design, POB 684, Dhahran 31261, Saudi Arabia.
   [Al-Ramadan, Baqer] King Fahd Univ Petr & Minerals KFUPM, Interdisciplinary Res Ctr Smart Mobil & Logist, Dhahran 31261, Saudi Arabia.
   [Kafy, Abdulla Al] Univ Texas Austin, Dept Geog & Environm, 1 Univ Stn A3100, Austin, TX 78712 USA.
   [Alsulamy, Saleh] King Khalid Univ, Coll Architecture & Planning, Dept Architecture, Abha 61421, Saudi Arabia.
   [Rahaman, Zullyadini A.] Sultan Idris Educ Univ, Fac Human Sci, Dept Geog & Environm, Tanjung Malim 35900, Perak, Malaysia.
C3 King Fahd University of Petroleum & Minerals; King Fahd University of
   Petroleum & Minerals; University of Texas System; University of Texas
   Austin; King Khalid University; Universiti Pendidikan Sultan Idris
RP Al-Ramadan, B (corresponding author), King Fahd Univ Petr & Minerals KFUPM, Dept Architecture & City Design, POB 684, Dhahran 31261, Saudi Arabia.; Al-Ramadan, B (corresponding author), King Fahd Univ Petr & Minerals KFUPM, Interdisciplinary Res Ctr Smart Mobil & Logist, Dhahran 31261, Saudi Arabia.; Kafy, AA (corresponding author), Univ Texas Austin, Dept Geog & Environm, 1 Univ Stn A3100, Austin, TX 78712 USA.
EM bramadan@kfupm.edu.sa; asdosary@kfupm.edu.sa; abdullaalkafy@utexas.edu;
   s.alsulamy@kku.edu.sa; zully@fsk.upsi.edu.my
RI Kafy, Abdulla Al/AAF-2173-2020; A. Rahaman, Zullyadini/ABF-5028-2021;
   Aldosary, Adel/B-6113-2015; Al-Ramadan, Baqer/AIB-4266-2022; alsulamy,
   saleh/ACJ-0897-2022
OI alsulamy, saleh/0000-0001-6991-1855; A. Rahaman,
   Zullyadini/0000-0003-2529-6525; Aldosary, Adel/0000-0002-7011-9133
FU Deanship of Scientific Research, King Khalid University [2/262/44];
   Deanship of Scientific Research at King Khalid University
FX The authors would like to gratefully acknowledge the research support
   provided by the King Fahd University of Petroleum & Minerals (KFUPM),
   Dhahran 31261, Saudi Arabia. The Authors extend their appreciation to
   the Deanship of Scientific Research at King Khalid University for
   funding this work through a large research group. Project group number
   RGP. 2/262/44.
CR Abbass K, 2022, ENVIRON SCI POLLUT R, V29, P42539, DOI 10.1007/s11356-022-19718-6
   Abid MA, 2018, NPJ CLIM ATMOS SCI, V1, DOI 10.1038/s41612-017-0003-7
   Afolabi L. A., 2009, American-Eurasian Journal of Sustainable Agriculture, V3, P413
   Ahmed M., 2023, Global Agricultural Production: Resilience to Climate Change, P1
   Ahmed S, 2023, CLIM DEV, V15, P132, DOI 10.1080/17565529.2022.2062284
   Alghamdi AS, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19052506
   Alhathloul Saleh H., 2021, Arabian Journal of Geosciences, V14, DOI 10.1007/s12517-021-07454-z
   Ali R.O.., 2019, Int. J. Eng. Technol., V8, P110, DOI 10.14419/ijet.v8i2.29591
   Almazroui M, 2020, ADV METEOROL, V2020, DOI 10.1155/2020/8828421
   Almazroui M, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11090964
   Alola AA, 2021, AIR QUAL ATMOS HLTH, V14, P581, DOI 10.1007/s11869-020-00962-z
   Atif RM, 2020, ATMOS RES, V231, DOI 10.1016/j.atmosres.2019.104655
   Bawadekji A, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-021-04200-z
   Caloiero T, 2018, WATER RESOUR MANAG, V32, P4971, DOI 10.1007/s11269-018-2117-z
   Chang XY, 2019, CLIM DYNAM, V52, P5213, DOI 10.1007/s00382-018-4439-1
   Chatterjee S, 2016, ATMOS RES, V182, P54, DOI 10.1016/j.atmosres.2016.07.010
   Corlett RT, 2016, TRENDS PLANT SCI, V21, P584, DOI 10.1016/j.tplants.2016.02.003
   Cui LF, 2017, J ATMOS SOL-TERR PHY, V164, P48, DOI 10.1016/j.jastp.2017.08.001
   da Silva RM, 2015, NAT HAZARDS, V77, P1205, DOI 10.1007/s11069-015-1644-7
   Das J, 2021, THEOR APPL CLIMATOL, V143, P1557, DOI 10.1007/s00704-020-03508-6
   Davis RE, 2016, ENVIRON RES, V144, P106, DOI 10.1016/j.envres.2015.10.014
   Denson E, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0aca
   Dobson A, 2021, SCIENCE, V374, P698, DOI 10.1126/science.abm6216
   en Z., 2017, INNOVATIVE TREND MET, P1
   Fattah MA, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e19991
   Fattah MA, 2023, ATMOS POLLUT RES, V14, DOI 10.1016/j.apr.2023.101737
   Gaur A, 2023, IMPACT CLIMATE CHANG, P193
   Gautam SP, 2023, ENVIRON ENG RES, V28, DOI 10.4491/eer.2022.694
   Hajat S, 2023, LANCET PLANET HEALTH, V7, pE282, DOI 10.1016/S2542-5196(23)00045-1
   Harrison SP, 2015, P NATL ACAD SCI USA, V112, P8672, DOI 10.1073/pnas.1502074112
   Hasanean H, 2015, CLIMATE, V3, P578, DOI 10.3390/cli3030578
   HASSAN I, 2016, J BIODIVERS ENVIRON, V8, P179
   Held IM, 2012, J CLIMATE, V25, P2578, DOI 10.1175/JCLI-D-11-00721.1
   Hussain A, 2022, INT J CLIMATOL, V42, P9950, DOI 10.1002/joc.7874
   Jin Ying-hua, 2009, Dongbei Shida Xuebao (Ziran Kexue Ban), V41, P134
   Kelley K., 2013, Handbook of Quantitative Methods for Educational Research, P69, DOI DOI 10.1007/978-94-6209-404-8
   Khan Saifullah., 2018, Trans Mach Learn Artif Intell, V6, P42
   Larson JW, 2012, PROCEDIA COMPUT SCI, V9, P917, DOI 10.1016/j.procs.2012.04.098
   Liu JD, 2023, INT J HYG ENVIR HEAL, V250, DOI 10.1016/j.ijheh.2023.114157
   Loua RT, 2019, CLIMATE, V7, DOI 10.3390/cli7070093
   Mallick J, 2021, THEOR APPL CLIMATOL, V143, P823, DOI 10.1007/s00704-020-03448-1
   Michaletz ST, 2014, NATURE, V512, P39, DOI 10.1038/nature13470
   Nayebi H, 2020, PATH ANAL LOGISTIC R, P1
   Noshadi M, 2015, ENVIRON DEV SUSTAIN, V17, P1451, DOI 10.1007/s10668-014-9615-9
   Odnoletkova N, 2021, J APPL METEOROL CLIM, V60, P1055, DOI 10.1175/JAMC-D-20-0273.1
   Orte F., 2021, 2021 19 WORKSH INF P, P1, DOI [DOI 10.1109/ECAI52376.2021.9515065, DOI 10.1109/RPIC53795.2021.9648428]
   Pravalie R, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108629
   Quansah AD, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-14126-9
   Rashid IU, 2020, ATMOS RES, V231, DOI 10.1016/j.atmosres.2019.104659
   Ren MF, 2019, SYST SCI CONTROL ENG, V7, P158, DOI 10.1080/21642583.2019.1588804
   Rhif Manel, 2019, Applied Sciences, V9, DOI 10.3390/app9071345
   Rosenzweig C, 2022, AGR DIMENSIONS GLOBA, P87
   Schug GR, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2209472120
   Sen Z, 2012, J HYDROL ENG, V17, P1042, DOI 10.1061/(ASCE)HE.1943-5584.0000556
   Sherwood SC, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012585
   Simpson IR, 2024, P NATL ACAD SCI USA, V121, DOI 10.1073/pnas.2302480120
   Tan ML, 2023, J HYDROL, V624, DOI 10.1016/j.jhydrol.2023.129940
   Tarawneh QY, 2018, CLIMATE, V6, DOI 10.3390/cli6010008
   Vicente-Serrano SM, 2018, EARTH SYST DYNAM, V9, P915, DOI 10.5194/esd-9-915-2018
   Watterson IG, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009254
   Wei Q, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107043
   Yu Y, 2023, ATMOS RES
   Zhang J, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15118798
   Zhang T, 2009, P ISES WORLD C 2007, VV, P2636, DOI DOI 10.1007/978-3-540-75997-3_532
   Zhang Y., 2022, Resilient Cities and Structures, V1, P98, DOI [DOI 10.1016/J.RCNS.2022.04.004, 10.1016/j.rcns.2022.04.004]
   Zhu SJ, 2022, BUILD ENVIRON, V219, DOI 10.1016/j.buildenv.2022.109181
NR 66
TC 2
Z9 2
U1 1
U2 1
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD AUG
PY 2024
VL 155
IS 8
BP 7909
EP 7935
DI 10.1007/s00704-024-05105-3
EA JUL 2024
PG 27
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA E0R1F
UT WOS:001271778800001
DA 2025-04-22
ER

PT J
AU Yuan, DH
   Xue, HF
   Du, MR
   Pang, YW
   Wang, JZ
   Wang, C
   Song, XH
   Wang, SG
   Kou, YY
AF Yuan, Donghai
   Xue, Hongfeng
   Du, Manrui
   Pang, Yiwen
   Wang, Jiazhuo
   Wang, Chen
   Song, Xiuhua
   Wang, Saige
   Kou, Yingying
TI Urban waterlogging resilience assessment based on combination weight and
   cloud model: A case study of Haikou
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Urban waterlogging; PSR model; Index system method; Urban resilience
   assessment
ID RISK-ASSESSMENT; DECISION
AB Based on a review of previous studies on urban resilience, this research paper focuses on the issue of waterlogging. It integrates resilience concepts to propose a process decomposition of urban resilience, utilizing the pressure-state-response conceptual model. A quantitative assessment model for waterlogging resilience under rainstorm conditions was developed, and three types of resilience to waterlogging disasters in Haikou were explored through a combination of game theory and cloud models. The study provides an in-depth understanding of Haikou's flood resistance capacity. It reveals that Haikou's resilience was at a moderate level during the study period, but there has been a slight decline over time. The resilience index of 2020 is approximately 2.35 % lower than in 2015. The state resilience declined sharply. Areas with high urban resilience are typically concentrated in the central area, while those with low resilience are generally located in undeveloped areas. From the perspective of indicator changes, the two indicators of per capita GDP and average rainfall exhibited the most significant downward trends. To systematically enhance Haikou's flood resistance capabilities, the paper proposes three strategies: pressure, state, and response. The research results offer detailed decision-making guidance for the construction of urban flood-resistant systems and provide scientific support for the quantification of flood resistance capacity.
C1 [Yuan, Donghai; Xue, Hongfeng; Du, Manrui; Pang, Yiwen; Kou, Yingying] Beijing Univ Civil Engn & Architecture, Key Lab Urban Stormwater Syst & Water Environm, Minist Educ, Beijing 100044, Peoples R China.
   [Wang, Jiazhuo; Wang, Chen] CAUPD Beijing Planning & Design Consultants Co Ltd, Beijing 100044, Peoples R China.
   [Song, Xiuhua] Huangshui Natl Wetland Pk, Xining 810007, Qinghai, Peoples R China.
   [Wang, Saige] Beijing Normal Univ, Beijing 100875, Peoples R China.
C3 Beijing University of Civil Engineering & Architecture; Beijing Normal
   University
RP Kou, YY (corresponding author), 1 Zhanlan Rd, Beijing 100044, Peoples R China.
EM kouyy@bucea.edu.cn
RI Pang, Yiwen/LHA-4527-2024; Song, Xiuhua/HKV-4803-2023
FU Natural Science Foundation of Beijing [9222017]; National Natural
   Science Foundation of China [52170097]
FX This work is supported by the Natural Science Foundation of Beijing
   (9222017) and National Natural Science Foundation of China (52170097) .
CR Abdel-Mooty MN, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102349
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Avand M, 2021, J ENVIRON MANAGE, V295, DOI 10.1016/j.jenvman.2021.113040
   Cao YQ, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112887
   Chen Y, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128456
   Cheng BQ, 2023, J CLEAN PROD, V388, DOI 10.1016/j.jclepro.2023.135970
   Chowdary VM, 2013, WATER RESOUR MANAG, V27, P3555, DOI 10.1007/s11269-013-0364-6
   de Magalhaes RF, 2022, URBAN CLIM, V46, DOI 10.1016/j.uclim.2022.101296
   De Silva MMGT, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101526
   Dianat H, 2022, INT J DISAST RISK RE, V71, DOI 10.1016/j.ijdrr.2022.102789
   Fang X, 2023, ENVIRON IMPACT ASSES, V98, DOI 10.1016/j.eiar.2022.106953
   Forrest SA, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102843
   Fu L, 2022, J CULT HERIT, V58, P1, DOI 10.1016/j.culher.2022.09.017
   Guo M, 2022, J CULT HERIT, V55, P1, DOI 10.1016/j.culher.2022.02.001
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Li SS, 2020, J HYDROL, V588, DOI 10.1016/j.jhydrol.2020.125051
   Liu ZZ, 2022, J SAF SCI RESIL, V3, P93, DOI 10.1016/j.jnlssr.2021.12.003
   Ma SQ, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100974
   Peng JQ, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103080
   Peng T, 2021, SCI TOTAL ENVIRON, V767, DOI 10.1016/j.scitotenv.2020.144353
   Plant E, 2021, ECOL INFORM, V61, DOI 10.1016/j.ecoinf.2020.101198
   Priscillia S, 2021, ARTIF INTELL GEOSCI, V2, P215, DOI 10.1016/j.aiig.2022.03.002
   Raj A, 2023, ECOL MODEL, V478, DOI 10.1016/j.ecolmodel.2023.110283
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Shu YQ, 2022, PHYS CHEM EARTH, V126, DOI 10.1016/j.pce.2021.103054
   Starczewski T, 2023, GEOSCI FRONT, V14, DOI 10.1016/j.gsf.2023.101560
   Sun BD, 2019, OCEAN COAST MANAGE, V168, P41, DOI 10.1016/j.ocecoaman.2018.10.026
   Sun S, 2020, PHYS CHEM EARTH, V115, DOI 10.1016/j.pce.2019.102824
   Tang XZ, 2018, SCI TOTAL ENVIRON, V630, P264, DOI 10.1016/j.scitotenv.2018.02.172
   Vreugdenhil H, 2022, ECOL ENG, V176, DOI 10.1016/j.ecoleng.2021.106507
   [王雷 Wang Lei], 2016, [传感器与微系统, Transducer and Microsystem Technology], V35, P80
   Wang LH, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e11763
   Wang Q, 2019, J CLEAN PROD, V206, P171, DOI 10.1016/j.jclepro.2018.09.057
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wang ZL, 2015, J HYDROL, V527, P1130, DOI 10.1016/j.jhydrol.2015.06.008
   Wei J, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107106
   Wolff S, 1995, AUST NZ J PSYCHIAT, V29, P565, DOI 10.3109/00048679509064968
   Wu JR, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102968
   Xiang HX, 2023, GLOB ECOL CONSERV, V42, DOI 10.1016/j.gecco.2023.e02397
   Xiao S, 2023, SCI TOTAL ENVIRON, V866, DOI 10.1016/j.scitotenv.2022.161321
   Xu HS, 2018, J HYDROL, V563, P975, DOI 10.1016/j.jhydrol.2018.06.060
   Yang LZ, 2023, J CLEAN PROD, V384, DOI 10.1016/j.jclepro.2022.135562
   Zeng JJ, 2018, HYDROL RES, V49, P1143, DOI 10.2166/nh.2017.265
   Zhang W, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2022.109818
NR 46
TC 1
Z9 1
U1 12
U2 12
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 JAN
PY 2025
VL 111
AR 107728
DI 10.1016/j.eiar.2024.107728
EA NOV 2024
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA W0S2P
UT WOS:001415772600001
DA 2025-04-22
ER

PT J
AU Luo, X
   Cheng, C
   Pan, Y
   Yang, TT
AF Luo, Xiang
   Cheng, Chao
   Pan, Yue
   Yang, Tiantian
TI Coupling Coordination and Influencing Factors of Land Development
   Intensity and Urban Resilience of the Yangtze River Delta Urban
   Agglomeration
SO WATER
LA English
DT Article
DE land development intensity; urban resilience; coupling coordination;
   panel tobit regression model
AB The rapid urbanization of the Yangtze River Delta urban agglomeration has led to the convergence of population, land and capital. The coordination between land development intensity and urban resilience has become a key issue in the post-urbanization period. From the perspective of regional overall and coordinated development, we constructed an evaluation index system of land development intensity and urban resilience. Then, the comprehensive evaluation model, coupling coordination degree model and panel Tobit regression model were adopted to systematically study the temporal and spatial differentiation of and influencing factors on the coupling coordination degree between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration from 2009 to 2019. The results show that from 2009 to 2019, the land development intensity exhibited a slow and fluctuating increase, while the urban resilience displayed continuous growth, and the level of land development intensity generally lagged behind that of urban resilience. From 2009 to 2019, the average coupling coordination degree between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration increased from 0.5177 to 0.6626, which generally changed from bare coordination to moderate coordination. In terms of spatial distribution, the coastal cities and cities along the Yangtze River were characterized by high coupling coordination degrees, which formed a "T" shape distribution pattern. In addition, the coupling coordination types showed certain spatio-temporal heterogeneity among cities. Finally, land economic benefit, green industrial development, scientific and technological innovation, social management and infrastructure all had significant impacts on the coupling and coordination between land development intensity and urban resilience in the Yangtze River Delta urban agglomeration.
C1 [Luo, Xiang; Cheng, Chao; Yang, Tiantian] Cent China Normal Univ, Sch Publ Adm, Wuhan 430070, Peoples R China.
   [Pan, Yue] Wuhan Inst Technol, Sch Civil Engn & Architecture, Wuhan 430070, Peoples R China.
C3 Central China Normal University; Wuhan Institute of Technology
RP Pan, Y (corresponding author), Wuhan Inst Technol, Sch Civil Engn & Architecture, Wuhan 430070, Peoples R China.
EM philiplaw@163.com; frankc0602@163.com; py95351721@163.com;
   ytt6927@163.com
RI Yang, Tian/JFB-1008-2023
FU National Natural Science Foundation of China [71974071, 42171286]
FX This research was funded by the National Natural Science Foundation of
   China (71974071; 42171286).
CR Allan P., 2011, Journal of Landscape Architecture, V6, P34, DOI [10.1080/18626033.2011.9723453, DOI 10.1080/18626033.2011.9723453]
   Bottero M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080242
   Bozza A, 2017, INT J URBAN SUSTAIN, V9, P136, DOI 10.1080/19463138.2016.1244538
   Cao Q, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13234887
   Chen X.H., 2020, Geoscience, V40, P2000
   Chen XS, 2021, NAT HAZARDS, V106, P829, DOI 10.1007/s11069-020-04493-9
   Dong XJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041321
   Feng J.Y., 2020, Ecol. Econ, V36, P101
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hudec O, 2018, CITIES, V73, P24, DOI 10.1016/j.cities.2017.10.004
   Hudec O, 2017, QUAL INNOV PROSPER, V21, P106, DOI 10.12776/QIP.V21I1.776
   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]
   Jin G, 2020, J GEOGR SCI, V30, P569, DOI 10.1007/s11442-020-1743-6
   Jin G, 2019, TECHNOL FORECAST SOC, V141, P36, DOI 10.1016/j.techfore.2019.01.004
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Pei JJ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16203802
   [彭荣熙 Peng Rongxi], 2021, [地理研究, Geographical Research], V40, P1732
   Qu G.F, 2021, URBAN PLAN, V2, P44
   Resilience Alliance, 2007, URB RES RES PROSP AU
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Stefano GD, 2017, J HOMEL SECUR EMERG, V14, DOI 10.1515/jhsem-2016-0057
   [孙永胜 Sun Yongsheng], 2021, [地理科学, Scientia Geographica Sinica], V41, P684
   Tan SK, 2022, J ENVIRON MANAGE, V301, DOI 10.1016/j.jenvman.2021.113778
   The Rockefeller Foundation ARUP, 2014, IND C R CIT RES FRAM
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   Wang K, 2020, WATER-SUI, V12, DOI 10.3390/w12123482
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Yu HC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124754
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang M.D., 2021, Ind. Technol. Econ, V40, P105
   Zhang MM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224442
   Zhang PY, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104958
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   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]
NR 38
TC 28
Z9 29
U1 16
U2 190
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD APR
PY 2022
VL 14
IS 7
AR 1083
DI 10.3390/w14071083
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 0M3LV
UT WOS:000782060900001
OA gold
DA 2025-04-22
ER

PT S
AU Botzen, W
   Aerts, J
   de Moel, H
AF Botzen, Wouter
   Aerts, Jeroen
   de Moel, Hans
BA Aerts, JCJH
   Botzen, WJW
   DeMoel, H
   Bowman, M
BF Aerts, JCJH
   Botzen, WJW
   DeMoel, H
   Bowman, M
TI Cost estimates of Strategy Open Resilient City
SO COST ESTIMATES FOR FLOOD RESILIENCE AND PROTECTION STRATEGIES IN NEW
   YORK CITY
SE Annals of the New York Academy of Sciences
LA English
DT Article; Book Chapter
C1 [Botzen, Wouter; Aerts, Jeroen; de Moel, Hans] Vrije Univ Amsterdam, Inst Environm Studies IVM, NL-1087 HV Amsterdam, Netherlands.
C3 Vrije Universiteit Amsterdam
RP Botzen, W (corresponding author), Vrije Univ Amsterdam, Inst Environm Studies IVM, Boelelaan 1087, NL-1087 HV Amsterdam, Netherlands.
EM jeroen.aerts@vu.nl
RI Botzen, Willem/L-3123-2013; Aerts, Jeroen/M-8431-2013; de Moel,
   Hans/L-1311-2013
CR Aerts JCJH, 2011, ANN NY ACAD SCI, V1227, P1, DOI 10.1111/j.1749-6632.2011.06074.x
   [Anonymous], 2006, National Flood Insurance Program Flood Insurance Manual (May 2006); National Flood Insurance Program Specific Rating Guidelines (May 2008); and National Flood Insurance Program Transaction Record Reporting and Processing (TRRP) Plan for the Write Your Own (WYO) Program
   [Anonymous], 2009, HAZUS-MH MR4 Flood Model Technical Manual
   [Anonymous], HOM GUID RETR
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Jones ChristopherP., 2006, Evaluation of the National Flood Insurance Program's building standards
   Kunreuther HC, 2009, AT WAR WITH THE WEATHER: MANAGING LARGE-SCALE RISKS IN A NEW ERA OF CATASTROPHES, P1
   Nadal NC, 2010, J WATER RES PL-ASCE, V136, P327, DOI 10.1061/(ASCE)WR.1943-5452.0000036
NR 8
TC 0
Z9 0
U1 0
U2 8
PU BLACKWELL SCIENCE PUBL
PI OXFORD
PA OSNEY MEAD, OXFORD OX2 0EL, ENGLAND
SN 0077-8923
BN 978-1-57331-921-8
J9 ANN NY ACAD SCI
JI Ann.NY Acad.Sci.
PY 2013
VL 1294
BP 19
EP 37
PG 19
WC Engineering, Civil; Environmental Sciences
WE Book Citation Index – Science (BKCI-S); Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA BHA83
UT WOS:000324831100002
DA 2025-04-22
ER

PT J
AU Muhammadan, SA
   Mulyadi, M
   Nasution, RF
   Parera, CY
AF Muhammadan, Sabda Alam
   Mulyadi, Musa
   Nasution, Riandry Fadilah
   Parera, Christin Yoanti
TI Resilient urban environments: planning for livable cities
SO EUROPEAN PLANNING STUDIES
LA English
DT Book Review; Early Access
C1 [Muhammadan, Sabda Alam; Mulyadi, Musa] IPB Univ, Dept Management & Business, Sch Business, Bogor, Indonesia.
   [Nasution, Riandry Fadilah] Univ Manchester, Manchester Inst Educ, Sch Environm Educ & Dev, Manchester, England.
   [Parera, Christin Yoanti] Gadjah Mada Univ, Anim Sci, Yogyakarta, Indonesia.
C3 Bogor Agricultural University; University of Manchester; Gadjah Mada
   University
RP Muhammadan, SA (corresponding author), IPB Univ, Dept Management & Business, Sch Business, Bogor, Indonesia.
EM sabdaalamm.sam@gmail.com
OI Mulyadi, Musa/0009-0003-8797-2821; Muhammadan, Sabda
   Alam/0009-0004-2172-3635; Nasution, Riandry Fadilah/0009-0005-2753-4103
FU Lembaga Pengelola Dana Pendidikan (LPDP), Ministry of Finance of the
   Republic of Indonesia
FX We would like to express our deepest gratitude to Lembaga Pengelola Dana
   Pendidikan (LPDP), Ministry of Finance of the Republic of Indonesia, for
   funding our master's studies.
NR 0
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 0965-4313
EI 1469-5944
J9 EUR PLAN STUD
JI Eur. Plan. Stud.
PD 2024 AUG 27
PY 2024
DI 10.1080/09654313.2024.2395844
EA AUG 2024
PG 3
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 E2G6B
UT WOS:001301241000001
DA 2025-04-22
ER

PT J
AU Zheng, JX
   Huang, GR
AF Zheng, Jiaxuan
   Huang, Guoru
TI Integrating resilience into an urban flood risk assessment framework: a
   case study of the Minzhi region, Shenzhen City
SO STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
LA English
DT Article
DE Resilience; System performance curve; Urban flood risk assessment;
   Shenzhen City
AB History has witnessed a long list of flood events and resilience has been a topical concept in flood risk assessment. However, previous studies did not integrate resilience into urban flood risk assessment frameworks and describe the merits of considering resilience in them. Here, a case study was conducted in Shenzhen City with an improved resilience metric based on system performance curve and the maximum and minimum water depth thresholds. A novel urban flood assessment framework was developed and compared with a conventional framework using hazard, vulnerability, and flood risk maps. The results demonstrate that in the resilience-based framework, some areas with high maximum inundation depths and long inundation durations have lower hazard than the framework without resilience because of their high resilience. More areas with low resilience are classified as very high hazard zones and hazard levels of some areas with high resilience decrease. The resilience-based framework considers the impact of land use type without using it as an index. The calculations are simplified and there is a greater emphasis on economic loss and casualties. Flood risk levels of areas in traffic lands increase while commerce, residence, greenspace, and waterbody decrease. The results suggest that integrating resilience into the urban flood risk assessment framework has substantial merits and resilience should be considered when assessing urban flood risk.
C1 [Zheng, Jiaxuan; Huang, Guoru] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China.
   [Huang, Guoru] South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou 510640, Peoples R China.
   [Huang, Guoru] Guangdong Engn Technol Res Ctr Safety & Greenizat, Guangzhou 510640, Peoples R China.
C3 South China University of Technology; South China University of
   Technology
RP Huang, GR (corresponding author), South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China.; Huang, GR (corresponding author), South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou 510640, Peoples R China.; Huang, GR (corresponding author), Guangdong Engn Technol Res Ctr Safety & Greenizat, Guangzhou 510640, Peoples R China.
EM huanggr@scut.edu.cn
RI Zheng, Jiaxuan/LZI-0921-2025
OI Zheng, Jiaxuan/0000-0003-1836-6249
FU National Natural Science Foundation of China [51879108]
FX This work was supported by the National Natural Science Foundation of
   China [Grant No. 51879108].
CR Barrios RE, 2016, ANN ANTHROPL PRACT, V40, P28, DOI 10.1111/napa.12085
   Chen JL, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126601
   Chen XL, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143144
   Cheng T, 2017, MATH PROBL ENG, V2017, DOI 10.1155/2017/5659197
   Danumah J.H., 2016, GEOENVIRONMENTAL DIS, DOI [10.1186/s40677-016-0044-y, DOI 10.1186/S40677-016-0044-Y, 10.1186/s40677]
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   FIERING MB, 1982, WATER RESOUR RES, V18, P33, DOI 10.1029/WR018i001p00033
   Guo YX, 2020, SOCIO-ECON PLAN SCI, V72, DOI 10.1016/j.seps.2020.100905
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hsiao SC, 2021, SCI TOTAL ENVIRON, V764, DOI 10.1016/j.scitotenv.2020.144439
   [黄国如 Huang Guoru], 2021, [自然灾害学报, Journal of Natural Disasters], V30, P71
   [黄国如 Huang Guoru], 2019, [水科学进展, Advances in Water Science], V30, P643
   Li B.Q., 2019, S. N. Water Transf. Water Sci. Technol, V17, P20, DOI [10.13476/j.cnki.nsbdqk.2019.0105, DOI 10.13476/J.CNKI.NSBDQK.2019.0105]
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Lyu HM, 2018, SCI TOTAL ENVIRON, V626, P1012, DOI 10.1016/j.scitotenv.2018.01.138
   Maskrey A., 1989, Disaster Mitigation: a community-based approach
   Morrison A, 2018, J FLOOD RISK MANAG, V11, P291, DOI 10.1111/jfr3.12315
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Song JY, 2021, URBAN WATER J, V18, P151, DOI 10.1080/1573062X.2020.1860237
   Song J, 2019, SCI TOTAL ENVIRON, V696, DOI 10.1016/j.scitotenv.2019.133764
   Song K, 2018, ENVIRON POLLUT, V242, P1970, DOI 10.1016/j.envpol.2018.07.057
   Su X, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13193924
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Yang YY, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126470
   Zeng ZG, 2021, RELIAB ENG SYST SAFE, V209, DOI 10.1016/j.ress.2021.107443
   Zhang DZ, 2021, WATER RES, V188, DOI 10.1016/j.watres.2020.116475
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zou Q, 2013, STOCH ENV RES RISK A, V27, P525, DOI 10.1007/s00477-012-0598-5
NR 32
TC 10
Z9 11
U1 34
U2 182
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1436-3240
EI 1436-3259
J9 STOCH ENV RES RISK A
JI Stoch. Environ. Res. Risk Assess.
PD MAR
PY 2023
VL 37
IS 3
BP 1183
EP 1197
DI 10.1007/s00477-022-02325-9
EA NOV 2022
PG 15
WC Engineering, Environmental; Engineering, Civil; Environmental Sciences;
   Statistics & Probability; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Mathematics; Water
   Resources
GA 9O3YX
UT WOS:000884154500001
DA 2025-04-22
ER

PT J
AU Sun, J
   Li, WX
   Mu, HR
   Li, MF
   Zhai, NN
   Liu, HN
AF Sun, Jing
   Li, Weixiao
   Mu, Hairong
   Li, Mengfei
   Zhai, Ningning
   Liu, Huining
TI Mapping the Evolving Landscape of Urban Resilience: A Scientometric
   Analysis Using CiteSpace
SO JOURNAL OF PLANNING LITERATURE
LA English
DT Article; Early Access
DE urban resilience; CiteSpace; scientometric analysis; research hotspots
ID CLIMATE-CHANGE ADAPTATION; EVOLUTIONARY; SCIENCE; COCITATION;
   EFFICIENCY; CITIES; SCOPUS; WEB
AB With the development of urbanization and the frequent occurrence of natural disasters, urban resilience has gradually become a hot topic in urban research. Over the past two decades, the literature on urban resilience has grown rapidly and has recently received significant attention from scholars. This study employs the results of CiteSpace to visually analyze cooperation analysis, intellectual bases, research hotspots, and emerging trends in 936 pieces of literature spanning from 2003 to 2023. This analysis aims to provide a deeper understanding of the current status of knowledge in the field of urban resilience.
C1 [Sun, Jing; Li, Weixiao; Li, Mengfei; Liu, Huining] Qingdao Univ, Sch Business, Qingdao, Peoples R China.
   [Mu, Hairong] Harper Adams Univ, Harper Adams Business Sch, Newport, Wales.
   [Zhai, Ningning] Nankai Univ, Sch Econ, Tianjin, Peoples R China.
C3 Qingdao University; Harper Adams University; Nankai University
RP Li, WX (corresponding author), Qingdao Univ, 93 Songling Rd, Qingdao 266100, Shandong, Peoples R China.
EM 2362897152@qq.com
RI Mu, Hairong/GON-4899-2022
FU Social Science Planning Project of Shandong Province [23CJJJ12]; Social
   Science Planning Project of Oingdao City [QDSKL2301071]
FX The authors disclosed receipt of the following financial support for the
   research, authorship, and/or publication of this article: This study was
   supported by Social Science Planning Project of Shandong Province [NO.
   23CJJJ12] and Social Science Planning Project of Oingdao City [NO.
   QDSKL2301071].
CR Abdulkareem M, 2018, INT J DISAST RISK RE, V28, P176, DOI 10.1016/j.ijdrr.2018.02.009
   Acuti D, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102608
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Azunre GA, 2019, CITIES, V93, P104, DOI 10.1016/j.cities.2019.04.006
   Bautista-Puig N., 2022, Cities, V126, DOI [10.1016/j.cities.2022.103715, DOI 10.1016/J.CITIES.2022.103715]
   Beichler SA, 2014, ECOL SOC, V19, DOI 10.5751/ES-06583-190304
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Caldarice O, 2019, RESILIENT CIT, P1, DOI 10.1007/978-3-319-76944-8_1
   Cao FF, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110643
   Chen C., 2005, Proceedings of the 10th International Conference on Intelligent User Interfaces, P98
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen CM, 2010, J AM SOC INF SCI TEC, V61, P1386, DOI 10.1002/asi.21309
   Chen CM, 2006, J AM SOC INF SCI TEC, V57, P359, DOI 10.1002/asi.20317
   [陈梦远 Chen Mengyuan], 2017, [地理科学进展, Progress in Geography], V36, P1435
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   De Luca C, 2021, ECOL SOC, V26, DOI 10.5751/ES-12535-260438
   Deng J., 2021, P 25 INT S ADV CONST, P1477
   Depietri Y, 2017, THEOR PRACT URB SUST, P91, DOI 10.1007/978-3-319-56091-5_6
   Endress M., 2015, Social Sciences, V4, P533, DOI DOI 10.3390/SOCSCI4030533
   Etinay N, 2018, PROCEDIA ENGINEER, V212, P575, DOI 10.1016/j.proeng.2018.01.074
   Evans GW, 2002, ANNU REV PUBL HEALTH, V23, P303, DOI 10.1146/annurev.publhealth.23.112001.112349
   Falagas ME, 2008, FASEB J, V22, P338, DOI 10.1096/fj.07-9492LSF
   Feagan M, 2019, ENVIRON SCI POLICY, V101, P358, DOI 10.1016/j.envsci.2019.07.014
   Feldmeyer D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102931
   Forbes SL, 2018, INT REV RETAIL DISTR, V28, P472, DOI 10.1080/09593969.2018.1500931
   Gavari-Starkie E, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18115794
   Gazni A, 2012, J AM SOC INF SCI TEC, V63, P323, DOI 10.1002/asi.21688
   Ge Y, 2023, PUBLIC ADMIN REV, DOI 10.1111/puar.13697
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gu CL, 2019, SCI CHINA EARTH SCI, V62, P1351, DOI 10.1007/s11430-018-9359-y
   Guo P, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14010229
   Guo YM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133606
   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
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Kagawa F., 2012, J. Educ. Sustain. Dev, V6, P207, DOI [DOI 10.1177/0973408212475200, 10.1177/0973408212475200]
   Kochskämper E, 2024, Z VGL POLITIKWISSENS, V18, P207, DOI 10.1007/s12286-024-00599-7
   Kochskaemper E, 2025, J ENVIRON PLANN MAN, V68, P1691, DOI 10.1080/09640568.2023.2297648
   Korhonen J, 2015, ECOL ECON, V120, P83, DOI 10.1016/j.ecolecon.2015.09.006
   Li L. G., 2019, Hum. Geogr, V2, P1, DOI [10.13959/j.issn.1003-2398.2019.02.001, DOI 10.13959/J.ISSN.1003-2398.2019.02.001]
   Li WF, 2020, J CLEAN PROD, V244, DOI 10.1016/j.jclepro.2019.118592
   Li ZY, 2022, TOUR REV, V77, P322, DOI 10.1108/TR-01-2021-0057
   Liu XJ, 2020, ADV INTELL SYST, V1001, P41, DOI 10.1007/978-3-030-21248-3_4
   Liu YF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151612106
   Liu YJ, 2022, ENVIRON SCI POLLUT R, V29, P63674, DOI 10.1007/s11356-022-20138-9
   Liu Z., 2019, BUILDINGS-BASEL, V9, DOI [10.3390/buildings9100210, DOI 10.3390/buildings9100210]
   Lozano S, 2019, SCIENTOMETRICS, V120, P609, DOI 10.1007/s11192-019-03132-w
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   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
   Meho LI, 2007, J AM SOC INF SCI TEC, V58, P2105, DOI 10.1002/asi.20677
   Meng LC, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062384
   Morel CM, 2009, PLOS NEGLECT TROP D, V3, DOI 10.1371/journal.pntd.0000501
   Nunes DM, 2019, J ENVIRON MANAGE, V244, P422, DOI 10.1016/j.jenvman.2019.05.027
   Palla A, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16052170
   Patriarca R, 2018, SAFETY SCI, V102, P79, DOI 10.1016/j.ssci.2017.10.005
   Piao SL, 2019, GLOBAL CHANGE BIOL, V25, P1922, DOI 10.1111/gcb.14619
   Fuentes JCP, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11226500
   Serenko A, 2013, J KNOWL MANAG, V17, P773, DOI 10.1108/JKM-05-2013-0166
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   SMALL H, 1973, J AM SOC INFORM SCI, V24, P265, DOI 10.1002/asi.4630240406
   SMALL H, 1981, INFORM PROCESS MANAG, V17, P39, DOI 10.1016/0306-4573(81)90040-6
   Sondershaus F., 2014, Social Sciences, V3, P172, DOI [10.3390/socsci3010172, DOI 10.3390/SOCSCI3010172]
   Sterzel T, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0220936
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Susman P., 1983, INTERPRETATIONS CALA, P264
   Todman LC, 2016, SCI REP-UK, V6, DOI 10.1038/srep28426
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   Troy AS, 2023, ANNU REV PSYCHOL, V74, P547, DOI 10.1146/annurev-psych-020122-041854
   Wang HC, 2023, URBAN AFF REV, V59, P949, DOI 10.1177/10780874221080145
   Wang L, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104048
   Wang L, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102181
   Xu YM, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192214762
   Yang M, 2021, INT J LEGAL DISCOURS, V6, P291, DOI 10.1515/ijld-2021-2057
   Ye N, 2020, J CLEAN PROD, V272, DOI 10.1016/j.jclepro.2020.122679
   Zhang D, 2020, J CLEAN PROD, V264, DOI 10.1016/j.jclepro.2020.121537
   Zhang J, 2021, NAT HAZARDS, V107, P447, DOI 10.1007/s11069-021-04590-3
   Zhang R, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15076147
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhu WJ, 2013, SCIENTOMETRICS, V94, P1195, DOI 10.1007/s11192-012-0888-1
   Zhi-Hong Z, 2006, J ENVIRON SCI, V18, P1020, DOI 10.1016/S1001-0742(06)60032-6
NR 87
TC 0
Z9 0
U1 8
U2 8
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 3
PY 2025
DI 10.1177/08854122251322735
EA MAR 2025
PG 15
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA Z0Y7S
UT WOS:001436274300001
DA 2025-04-22
ER

PT J
AU Wang, L
   Xue, XL
   Wang, ZY
   Zhang, LS
AF Wang, Liang
   Xue, Xiaolong
   Wang, Zeyu
   Zhang, Linshuang
TI A Unified Assessment Approach for Urban Infrastructure Sustainability
   and Resilience
SO ADVANCES IN CIVIL ENGINEERING
LA English
DT Article
ID CIVIL INFRASTRUCTURE; SEISMIC RESILIENCE; ECONOMIC-GROWTH; SYSTEMS;
   FRAMEWORK; URBANIZATION; INDICATORS; CHALLENGES; CONSTRUCTION; ENERGY
AB The concepts of sustainability and resilience have become very popular in the field of urban infrastructure. This paper reviews previous research on sustainability and resilience of urban infrastructure. The concepts of urban infrastructure's sustainability and resilience are compared from the perspectives of dimensions, properties, goals, and methodologies. The paper systematically assesses the sustainability and resilience of urban infrastructure by using the concept of the grade point average (GPA). The GPA of urban infrastructure's sustainability and resilience (urban infrastructure SR-GPA) is proposed as a unified concept. The assessment index system of urban infrastructure SR-GPA is constructed from five dimensions including demand, status, influence, resource, and measure. The analytic network process (ANP) is used to assess urban infrastructure SR-GPA considering the interaction between the indexes. The ANP structure model of urban infrastructure SR-GPA is established based on the assessment method and index system. The Harbin subway SR-GPA is selected as an empirical study to test the applicability of the proposed assessment method. The results show that the assessment indexes have different impacts on urban infrastructure SR-GPA. The Harbin subway SR-GPA is in a low level and can be upgraded through increasing construction investment, allocating resources efficiently, and considering resilience in the whole life cycle.
C1 [Wang, Liang; Xue, Xiaolong] Harbin Inst Technol, Sch Management, Harbin 150001, Heilongjiang, Peoples R China.
   [Xue, Xiaolong; Wang, Zeyu] Guangzhou Univ, Sch Management, Guangzhou 510006, Guangdong, Peoples R China.
   [Zhang, Linshuang] China Mobile Commun Corp, Shijiazhuang 050021, Hebei, Peoples R China.
C3 Harbin Institute of Technology; Guangzhou University; China Mobile
RP Xue, XL (corresponding author), Harbin Inst Technol, Sch Management, Harbin 150001, Heilongjiang, Peoples R China.; Xue, XL (corresponding author), Guangzhou Univ, Sch Management, Guangzhou 510006, Guangdong, Peoples R China.
EM xlxue@hit.edu.cn
RI Wang, Zeyu/MIP-4095-2025; Wang, Liang/AAI-1031-2021
OI Wang, Liang/0000-0002-4063-6842
FU National Natural Science Foundation of China (NSFC) [71390522, 71671053,
   71271065, 71771067]; National Key R&D Program of China [2016YFC0701800,
   2016YFC0701808]
FX This research was supported by the National Natural Science Foundation
   of China (NSFC) (nos. 71390522, 71671053, 71271065, and 71771067). The
   work described in this paper was also funded by the National Key R&D
   Program of China (nos. 2016YFC0701800 and 2016YFC0701808).
CR Acuto M, 2018, NAT SUSTAIN, V1, P2, DOI 10.1038/s41893-017-0013-9
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Afgan NH, 2004, INT J HYDROGEN ENERG, V29, P1327, DOI 10.1016/j.ijhydene.2004.01.005
   Amantini A, 2012, COGN TECHNOL WORK, V14, P143, DOI 10.1007/s10111-010-0171-2
   Anderies JM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05178-180208
   [Anonymous], 2009, SUSTAINABLE CRITICAL
   Atack J, 2010, SOC SCI HIST, V34, P171, DOI 10.1215/01455532-2009-024
   Attoh-Okine NO, 2009, IEEE SYST J, V3, P147, DOI 10.1109/JSYST.2009.2019148
   Ayag Z, 2009, COMPUT IND ENG, V56, P368, DOI 10.1016/j.cie.2008.06.011
   Balkema A.J., 2002, URBAN WATER, V4, P153, DOI [10.1016/S1462-0758(02)00014-6, DOI 10.1016/S1462-0758(02)00014-6]
   Berardi U, 2012, SUSTAIN DEV, V20, P411, DOI 10.1002/sd.532
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Bocchini P, 2014, J INFRASTRUCT SYST, V20, DOI 10.1061/(ASCE)IS.1943-555X.0000177
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   BROWN BJ, 1987, ENVIRON MANAGE, V11, P713, DOI 10.1007/BF01867238
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Calkins M., 2008, MAT SUSTAINABLE SITE
   Cavallaro M, 2014, COMPUT-AIDED CIV INF, V29, P608, DOI 10.1111/mice.12080
   CEEQUAL, 2018, SCHEM DESCR ASS PROC
   Chang S.E., 2003, NAT HAZARDS REV, V4, P186, DOI DOI 10.1061/(ASCE)1527-6988(2003)4:4(186)
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chen HY, 2008, HABITAT INT, V32, P28, DOI 10.1016/j.habitatint.2007.06.005
   Cloutier S, 2014, ECOL INDIC, V40, P147, DOI 10.1016/j.ecolind.2014.01.012
   Cohen B, 2006, TECHNOL SOC, V28, P63, DOI 10.1016/j.techsoc.2005.10.005
   Crane P, 2005, SCIENCE, V308, P1225, DOI 10.1126/science.1114165
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Dasgupta S, 2005, CAN J CIVIL ENG, V32, P30, DOI 10.1139/L04-101
   Démurger S, 2001, J COMP ECON, V29, P95, DOI 10.1006/jcec.2000.1693
   Department of Urban Surveys National Bureau of Statistics of China, 2014, CHIN CIT STAT YB 201
   Dulaimi MF, 2002, BUILD RES INF, V30, P237, DOI 10.1080/09613210110115207
   Fischer JM, 2011, J URBAN PLAN DEV, V137, P39, DOI 10.1061/(ASCE)UP.1943-5444.0000039
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Gandy M, 2005, INT J URBAN REGIONAL, V29, P26, DOI 10.1111/j.1468-2427.2005.00568.x
   Gay LF, 2013, INT J CRIT INFRASTRU, V9, P330, DOI 10.1504/IJCIS.2013.058172
   Ghosh J., 2008, APPL STAT PROBABILIT
   Glavic P, 2007, J CLEAN PROD, V15, P1875, DOI 10.1016/j.jclepro.2006.12.006
   Haapio A, 2008, ENVIRON IMPACT ASSES, V28, P469, DOI 10.1016/j.eiar.2008.01.002
   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
   Huang CN, 2014, KNOWL-BASED SYST, V55, P66, DOI 10.1016/j.knosys.2013.10.010
   Institute for Sustainable Infrastructure (ISI), 2018, DRAFT ENV ASS SYST V
   Jeon CM, 2005, J INFRASTRUCT SYST, V11, P31, DOI 10.1061/(ASCE)1076-0342(2005)11:1(31)
   John G, 2005, BUILD ENVIRON, V40, P319, DOI 10.1016/j.buildenv.2004.05.011
   Jovanovic M, 2010, ENERGY, V35, P3909, DOI 10.1016/j.energy.2010.06.010
   Kajikawa Y, 2008, SUSTAIN SCI, V3, P215, DOI 10.1007/s11625-008-0053-1
   Larsen L., 2011, GREEN BUILDING CLIMA
   Lee WL, 2012, ENERG BUILDINGS, V45, P326, DOI 10.1016/j.enbuild.2011.11.024
   Lele S, 1996, CONSERV BIOL, V10, P354, DOI 10.1046/j.1523-1739.1996.10020354.x
   Liddle B, 2014, POPUL ENVIRON, V35, P286, DOI 10.1007/s11111-013-0198-4
   Litman T., 2006, Intern. J. Global Environ. Iss., V6, P331, DOI [DOI 10.1504/IJGENVI.2006.010889, 10.1504/ijgenvi.2006.010889]
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Marcuse P, 1998, ENVIRON URBAN, V10, P103, DOI 10.1177/095624789801000201
   Martin-Carrasco F, 2013, WATER RESOUR MANAG, V27, P1693, DOI 10.1007/s11269-012-0081-6
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Meade LA, 2002, IEEE T ENG MANAGE, V49, P59, DOI 10.1109/17.985748
   Meade LM, 1999, INT J PROD RES, V37, P241, DOI 10.1080/002075499191751
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   Nelms C, 2005, CAN J CIVIL ENG, V32, P114, DOI 10.1139/L04-102
   Ostrom E, 1999, SCIENCE, V284, P278, DOI 10.1126/science.284.5412.278
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Pack J. R., 1989, J POLICY ANAL MANAG, V8, P505
   Reddy BVV, 2003, ENERG BUILDINGS, V35, P129
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Rijsberman MA, 2000, ENVIRON IMPACT ASSES, V20, P333, DOI 10.1016/S0195-9255(00)00045-7
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Rose A, 2011, ENVIRON INNOV SOC TR, V1, P96, DOI 10.1016/j.eist.2011.04.003
   SAATY TL, 1983, IEEE T ENG MANAGE, V30, P140, DOI 10.1109/TEM.1983.6448606
   Sahely HR, 2005, CAN J CIVIL ENG, V32, P72, DOI 10.1139/L04-072
   Schiller G, 2007, BUILD RES INF, V35, P399, DOI 10.1080/09613210701217171
   Seeliger L, 2013, SUSTAINABILITY-BASEL, V5, P2108, DOI 10.3390/su5052108
   Shen LY, 2011, HABITAT INT, V35, P17, DOI 10.1016/j.habitatint.2010.03.006
   Singh RK, 2009, ECOL INDIC, V9, P189, DOI 10.1016/j.ecolind.2008.05.011
   Sohail M, 2005, J URBAN PLAN D-ASCE, V131, P39, DOI 10.1061/(ASCE)0733-9488(2005)131:1(39)
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Ugwu OO, 2007, BUILD ENVIRON, V42, P665, DOI 10.1016/j.buildenv.2005.10.018
   Ulanowicz RE, 2009, ECOL COMPLEX, V6, P27, DOI 10.1016/j.ecocom.2008.10.005
   Vugrin ED, 2011, PROCESS SAF PROG, V30, P280, DOI 10.1002/prs.10437
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Warne R.T., 2014, NASSP BULL, V98, P261
   Xue XL, 2015, INT J PROJ MANAG, V33, P576, DOI 10.1016/j.ijproman.2014.09.003
   Yao H, 2011, AUTOMAT CONSTR, V20, P1060, DOI 10.1016/j.autcon.2011.04.007
   Yigitcanlar Tan, 2010, Sustainability, V2, P321, DOI 10.3390/su2010321
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
   Zinke T., 2012, LIFE CYCLE SUSTAINAB, P3
   Zobel CW, 2011, DECIS SUPPORT SYST, V50, P394, DOI 10.1016/j.dss.2010.10.001
NR 86
TC 20
Z9 20
U1 13
U2 164
PU HINDAWI LTD
PI LONDON
PA ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND
SN 1687-8086
EI 1687-8094
J9 ADV CIV ENG
JI Adv. Civ. Eng.
PY 2018
VL 2018
AR 2073968
DI 10.1155/2018/2073968
PG 19
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Engineering
GA GO2BL
UT WOS:000439770800001
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Han, H
   Li, XK
   Gu, X
   Li, G
AF Han, Han
   Li, Xiaokai
   Gu, Xiang
   Li, Gang
TI Urban rivers health assessment based on the concept of resilience using
   improved FCM-EWM-MABAC model
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Resilience theory; Urban rivers health; FCM-EWM-MABAC Model; Urban
   rivers resilience index
ID PERSPECTIVE; SYSTEMS; INDEX
AB Urban rivers are vital for urbanization and regional economic development, which can provide water for living, industrial and agricultural needs of urban residents, and regulate the hydrological environment in the urban. The exploration of urban rivers health based on resilience theory can provide important reference for urban rivers restoration and resilience urban construction. To this purpose, this study explores the health status of Jialu River during 2011-2020 from the perspective of resilience. First, a comprehensive indicator system based on the resilience theory was established for the health analysis of urban rivers. Second, an urban rivers resilience index (URRI) was developed utilizing the improved FCM-EWM-MABAC method to accurately illuminate the health states of urban rivers. Final, the health state of Jialu River from 2011 to 2022 was diagnosed using the comprehensive indicator system and URRI. Our results suggested that the Jialu River's health state showed a rapid improvement trend from ordinary state in 2011 to good state in 2020. The health status of resistance, recovery and adaptability subsystems displayed different degrees of improvement during the study period, and the growth trend of adaptability subsystem was the most obvious. Over the past decade, the resilience state of Jialu River had improved by implementing a series of governance measures, but there is still room for improvement. This study can provide significant references for future work on the water resource conservation and sustainable development in rapidly economic developing regions.
C1 [Han, Han; Li, Xiaokai; Li, Gang] North China Univ Water Conservancy & Elect Power, Sch Management & Econ, Zhengzhou 450045, Peoples R China.
   [Gu, Xiang] North China Univ Water Resource & Elect Power, Sch Water Conservancy, Zhengzhou 450045, Peoples R China.
C3 North China University of Water Resources & Electric Power; North China
   University of Water Resources & Electric Power
RP Li, XK (corresponding author), North China Univ Water Conservancy & Elect Power, Sch Management & Econ, Zhengzhou 450045, Peoples R China.
EM kf95549@163.com
FU National Natural Science Foundation of China [72271091]; Key Scientific
   Research Project of Universities in Henan Province [23A630009]; China
   Water Conservancy Economic Research Association [CSWEZZ2023-05]
FX This study was supported by the National Natural Science Foundation of
   China (NO. 72271091), Key Scientific Research Project of Universities in
   Henan Province (No. 23A630009), and China Water Conservancy Economic
   Research Association (No. CSWEZZ2023-05).
CR Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   Arman NZ, 2019, ECOL INDIC, V104, P449, DOI 10.1016/j.ecolind.2019.04.060
   Bojanic D., 2018, Decision Making: Applications in Management and Engineering, V1, P51, DOI [DOI 10.31181/DMAME180151B, 10.31181/dmame180151b]
   Buss DF, 2010, J N AM BENTHOL SOC, V29, P562, DOI 10.1899/09-095.1
   Chen Ning, 2016, Control Theory & Applications, V33, P1273, DOI 10.7641/CTA.2016.50799
   Cheng Y., 2022, System Engineering., V6, P1
   Chia B, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000809
   Christoforou A, 2017, NEUROCOMPUTING, V232, P133, DOI 10.1016/j.neucom.2016.09.115
   Cosens BA, 2012, ECOL SOC, V17, DOI 10.5751/ES-04986-170403
   Deng XJ, 2015, ECOL INDIC, V57, P85, DOI 10.1016/j.ecolind.2015.04.020
   Deveci M, 2021, ENG APPL ARTIF INTEL, V103, DOI 10.1016/j.engappai.2021.104311
   Dinh LTT, 2012, J LOSS PREVENT PROC, V25, P233, DOI 10.1016/j.jlp.2011.09.003
   Duan TT, 2022, SCI TOTAL ENVIRON, V847, DOI 10.1016/j.scitotenv.2022.157523
   Fennessy, 1993, Ecological Engineering, V2, P159
   Fonseca K, 2022, J CLEAN PROD, V377, DOI 10.1016/j.jclepro.2022.134246
   Fuller IC, 2019, RIVER RES APPL, V35, P91, DOI 10.1002/rra.3384
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Han H, 2020, POL J ENVIRON STUD, V29, P2211, DOI 10.15244/pjoes/111239
   Han H, 2019, MATH PROBL ENG, V2019, DOI 10.1155/2019/7502342
   Han YZ, 2018, J AMB INTEL HUM COMP, V9, P1933, DOI 10.1007/s12652-018-0882-4
   He K., 2023, China. Ecological Indicators., V74
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kim JY, 2015, WATER-SUI, V7, P6378, DOI 10.3390/w7116378
   Kong QX, 2022, ENVIRON MANAGE, V70, P164, DOI 10.1007/s00267-022-01620-z
   Kuang WH, 2012, J GEOGR SCI, V22, P535, DOI 10.1007/s11442-012-0945-y
   Li YF, 2012, J ENVIRON MANAGE, V98, P127, DOI 10.1016/j.jenvman.2011.12.025
   Liu PD, 2020, INT J INF TECH DECIS, V19, P499, DOI 10.1142/S0219622020500042
   Liu W, 2019, ENVIRON SCI POLLUT R, V26, P10251, DOI 10.1007/s11356-018-04110-0
   Lu YW, 2021, HUM ECOL RISK ASSESS, V27, P921, DOI 10.1080/10807039.2020.1788918
   Manyena SB, 2006, DISASTERS, V30, P433
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Müller F, 2016, ECOL INDIC, V65, P10, DOI 10.1016/j.ecolind.2015.10.066
   Qi M, 2016, J HYDROL, V539, P281, DOI 10.1016/j.jhydrol.2016.05.039
   Schofield N., 1996, Water, V23, P39
   Singh PK, 2018, ECOL INDIC, V85, P999, DOI 10.1016/j.ecolind.2017.11.059
   Singh R, 2022, ENVIRON RES, V215, DOI 10.1016/j.envres.2022.114104
   Smith MW, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008496
   Su YF, 2021, ECOL INDIC, V126, DOI 10.1016/j.ecolind.2021.107686
   Voulvoulis N, 2017, SCI TOTAL ENVIRON, V575, P358, DOI 10.1016/j.scitotenv.2016.09.228
   Walker B, 2004, ECOL SOC, V9
   Wang P., 2019, Informatica., V20, P799
   Wang X.L., 2022, Journal of Hydroelectric Engineering., P1
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Water Resources Department of Henan Province, 2011, Henan Water Resources Bulletin
   Wen C, 2023, ENVIRON SCI POLLUT R, V30, P15400, DOI 10.1007/s11356-022-23267-3
   Xie T, 2018, ENVIRON POLLUT, V238, P222, DOI 10.1016/j.envpol.2018.03.013
   Xiong B, 2020, SCI TOTAL ENVIRON, V739, DOI 10.1016/j.scitotenv.2020.139963
   Yazdi J, 2018, WATER RESOUR MANAG, V32, P4561, DOI 10.1007/s11269-018-2069-3
   Zhang KZ, 2019, WATER-SUI, V11, DOI 10.3390/w11061190
   Zhang X, 2018, ECOL INDIC, V84, P416, DOI 10.1016/j.ecolind.2017.08.049
   Zhao YW, 2019, ECOL INDIC, V99, P324, DOI 10.1016/j.ecolind.2018.12.023
   Zhao Z.L., 2022, Water Resources and Power., V40, P39
   Zhengzhou Statistics Bureau, 2011, Zhengzhou Statistical Yearbook
   Zou L, 2018, ANN AM ASSOC GEOGR, V108, P1422, DOI 10.1080/24694452.2017.1421897
NR 55
TC 6
Z9 6
U1 12
U2 44
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD OCT
PY 2023
VL 154
AR 110833
DI 10.1016/j.ecolind.2023.110833
EA AUG 2023
PG 13
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA R8QH5
UT WOS:001066942400001
OA gold
DA 2025-04-22
ER

PT J
AU Chen, B
   Sharifi, A
   Schlör, H
AF Chen, Bin
   Sharifi, Ayyoob
   Schloer, Holger
TI Integrated social-ecological-infrastructural management for urban
   resilience
SO RESOURCES CONSERVATION AND RECYCLING
LA English
DT Article
DE Infrastructure reform; Environmental and ecological risk; Resilience
   transition; Urban adaptation
C1 [Chen, Bin] Beijing Normal Univ, Sch Environm, Beijing, Peoples R China.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Humanities & Social Sci, Hiroshima, Japan.
   [Schloer, Holger] Forschungszentrum Julich, Inst Energy & Climate Res, Julich, Germany.
C3 Beijing Normal University; Hiroshima University; Helmholtz Association;
   Research Center Julich
RP Chen, B (corresponding author), Beijing Normal Univ, Sch Environm, Beijing, Peoples R China.
EM chenb@bnu.edu.cn
RI Chen, Bin/A-6951-2012; Sharifi, Ayyoob/M-7584-2013
OI Schlor, Holger/0000-0001-9098-3263
CR Brown ED, 2015, ENVIRON MANAGE, V56, P1416, DOI 10.1007/s00267-015-0582-1
   Dijst M, 2018, RESOUR CONSERV RECY, V132, P190, DOI 10.1016/j.resconrec.2017.09.014
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   Yang DW, 2018, RESOUR CONSERV RECY, V134, P196, DOI 10.1016/j.resconrec.2018.03.016
NR 5
TC 13
Z9 13
U1 11
U2 79
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 JUN
PY 2022
VL 181
AR 106268
DI 10.1016/j.resconrec.2022.106268
EA MAR 2022
PG 2
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA 2P6ZR
UT WOS:000819886900009
DA 2025-04-22
ER

PT J
AU Berke, PR
   Rodriguez, DA
AF Berke, Philip R.
   Rodriguez, Daniel A.
TI David Godschalk A Planner's Lifelong Search for the Sweet Spot
SO JOURNAL OF THE AMERICAN PLANNING ASSOCIATION
LA English
DT Article
DE comprehensive planning; consensus building; David Godschalk; resilient
   cities; sustainable development
AB David R. Godschalk, professor emeritus in the Department of City and Regional Planning at the University of North Carolina, Chapel Hill, passed away in early 2018. In this essay we reflect on Dave's planning scholarship and practice. We discuss his main contributions in 4 prominent areas. First is the importance of public participation and collaboration for the planning and governance of communities. He argued for democratizing and recasting public participation, with planners working alongside community members coproducing plans and incorporating uncertainty, new information, and different viewpoints. Second is Dave's focus on the tenets of the comprehensive plan and its core element, the land use plan. In the plan, central principles of livable urban forms and model planning processes can be integrated and translated to practice. With academic collaborators and practitioners he pioneered theoretical and empirical research on what constitutes a high-quality plan, a fundamental question at the heart of planning. Third is his research demonstrating how spatial planning can be used for hazard mitigation and urban resilience. This work forged a new generation of planning academics and practitioners who focused on hazard plans for predisaster mitigation and postdisaster recovery at multiple governmental levels. Finally, fourth is his personal involvement in planning-related institutions that he helped create, lead, or steer. In his various roles as scholar, teacher, mentor, collaborator, supervisor, planning director, and elected official, Dave touched the lives of many who now build on his contributions in creating better communities.
C1 [Berke, Philip R.] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX 77843 USA.
   [Berke, Philip R.] Texas A&M Univ, Inst Sustainable Commun, College Stn, TX 77843 USA.
   [Berke, Philip R.; Rodriguez, Daniel A.] UNC, Chapel Hill, NC USA.
   [Rodriguez, Daniel A.] Univ Calif Berkeley, Dept City & Reg Planning, Berkeley, CA 94720 USA.
   [Rodriguez, Daniel A.] Univ Calif Berkeley, Inst Transportat Studies, Berkeley, CA 94720 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 North Carolina; University of North Carolina Chapel Hill; University
   of California System; University of California Berkeley; University of
   California System; University of California Berkeley
RP Berke, PR (corresponding author), Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX 77843 USA.; Berke, PR (corresponding author), Texas A&M Univ, Inst Sustainable Commun, College Stn, TX 77843 USA.
EM pberke@tamu.edu; danrod@berkeley.edu
RI RODRIGUEZ, Daniel/GWC-3563-2022
CR [Anonymous], 2002, MAK NAT SAF ROL SCI, DOI DOI 10.17226/10415
   [Anonymous], 1974, PLANNING AM LEARNING
   Berke P, 2009, J PLAN LIT, V23, P227, DOI 10.1177/0885412208327014
   Berke PhilipR., 2006, URBAN LAND USE PLANN, V5th
   Campbell S, 1996, J AM PLANN ASSOC, V62, P296, DOI 10.1080/01944369608975696
   CHAPIN FS, 1963, J AM I PLANNERS, V29, P76, DOI 10.1080/01944366308978044
   CHAPIN FS, 1968, TRANSPORT RES, V2, P375, DOI 10.1016/0041-1647(68)90103-2
   Godschalk D., 1999, Natural Hazard Mitigation
   Godschalk D.R., 1979, Constitutional Issues of Growth Management
   Godschalk D. R, 1972, THESIS
   Godschalk D.R., 2015, Sustaining places: Best practices for comprehensive plans (No. PAS 578)
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Godschalk DR, 2014, J AM PLANN ASSOC, V80, P83, DOI 10.1080/01944363.2014.928169
   Godschalk David R., 2014, SUSTAINABLE DEV PROJ
   Godschalk DR, 2012, DYNAMIC DECADE: CREATING THE SUSTAINABLE CAMPUS FOR THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, 2001-2011, P1
   GODSCHALK DR, 1966, J AM I PLANNERS, V32, P86, DOI 10.1080/01944366608979362
   GODSCHALK DR, 1973, J AM I PLANNERS, V39, P306, DOI 10.1080/01944367308977418
   Kaiser E.J., 1995, URBAN LAND USE PLANN, V4th
   Kaiser E. J., 1971, PROMOTING ENV QUALIT
   KAISER EJ, 1970, J AM I PLANNERS, V36, P30, DOI 10.1080/01944367008977277
   Lyles W, 2014, J PLAN EDUC RES, V34, P433, DOI 10.1177/0739456X14549752
   Masterson Jamie Hicks., 2015, Planning for Community Resilience: A Handbook for Reducing Vulnerability to Disasters
   National Oceanic and Atmospheric Administration, 2018, BILL DOLL WEATH CLIM
   Schneider D.M., 1978, 338 AM PLANN ASS
   Schwab J, 2010, 560 APA
NR 25
TC 0
Z9 1
U1 1
U2 7
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 JAN 2
PY 2019
VL 85
IS 1
BP 7
EP 15
DI 10.1080/01944363.2018.1541423
PG 9
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA HR0QS
UT WOS:000462834200002
DA 2025-04-22
ER

PT J
AU Li, HY
   Wang, Y
   Zhang, HW
   Yin, RM
   Liu, C
   Wang, ZJ
   Fu, F
   Zhao, JQ
AF Li, Haiyang
   Wang, Ying
   Zhang, Hongwei
   Yin, Ruimin
   Liu, Chong
   Wang, Zhaojun
   Fu, Fen
   Zhao, Jiaqi
TI The spatial-temporal evolution and driving mechanism of Urban resilience
   in the Yellow River Basin cities
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Driving mechanism; Spatial-temporal evolution; Urban resilience; Yellow
   River Basin
ID SPATIOTEMPORAL EVOLUTION
AB The rapid urbanization poses the potential risk of overload and collapse for cities. Addressing the problems brought about by rapid urbanization to ensure urban safety and sustainable development has become particularly urgent and crucial, especially for regions with high ecological vulnerability and weak economic foundations. This study utilizes panel data spanning from 2013 to 2020 and applies the entropy weight-TOPSIS model to assess the urban resilience of 54 cities within the Yellow River Basin. It explores the temporal evolution, spatial distribution, and dynamics of urban resilience. Further, through the application of the Geographically and Temporally Weighted Regression model, the research investigates the drivers of urban resilience, considering temporal and spatial variations. Findings indicate a consistent increase in urban resilience across the Yellow River Basin, albeit with widening regional disparities. The spatial pattern of urban resilience exhibits a gradient decline from downstream to midstream and then upstream. The impact of various factors on urban resilience differs by region, with technological innovation emerging as the most influential. To foster a sustainable future, the Yellow River Basin should prioritize technological innovation, particularly in industrial cities, and advocate for the adoption of green technologies to diminish resource consumption and mitigate environmental pollution.
C1 [Li, Haiyang; Wang, Ying; Zhang, Hongwei; Yin, Ruimin; Liu, Chong; Wang, Zhaojun] China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China.
   [Fu, Fen] Tsinghua Univ, Sch Journalism & Commun, Beijing 100084, Peoples R China.
   [Zhao, Jiaqi] Zhejiang Business Human Resource Exchange Serv Ctr, Hangzhou 310000, Peoples R China.
C3 China University of Geosciences; Tsinghua University
RP Wang, Y (corresponding author), China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China.
EM lihaiyang1106@163.com; yingwang@cug.edu.cn; zhanghongwei@cug.edu.cn;
   yrm_cug@cug.edu.cn; 1094911979@qq.com; ZhaojunWang51@cug.edu.cn;
   499339304@qq.com; 953408427@qq.com
RI Wang, Zhaojun/ABG-5173-2021; Li, Haiyang/HGE-7991-2022; zhang,
   hongwei/GMX-4185-2022
OI Zhang, Hongwei/0000-0002-1515-9909
FU National Social Science Foundation of China [23AZD058]
FX This research was financially supported by The Key Project from the
   National Social Science Foundation of China (Grant No. 23AZD058) .
CR Abou Samra R.M., 2023, Urban Clim., V52
   Coskun H, 2021, SCI TOTAL ENVIRON, V751, DOI 10.1016/j.scitotenv.2020.141663
   Echendu A., 2021, Development Studies Research, V8, P82, DOI 10.1080/21665095.2021.1894963
   Han BL, 2015, ECOL MODEL, V318, P217, DOI 10.1016/j.ecolmodel.2014.12.015
   Han S, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107145
   He W, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1042264
   Hong T, 2022, MATH PROBL ENG, V2022, DOI 10.1155/2022/6049677
   Huang B, 2010, INT J GEOGR INF SCI, V24, P383, DOI 10.1080/13658810802672469
   Li DZ, 2024, ENVIRON DEV SUSTAIN, V26, P3819, DOI 10.1007/s10668-022-02859-6
   Li HY, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110672
   Li HJ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13168902
   Li HZ, 2023, GLOB ECOL CONSERV, V46, DOI 10.1016/j.gecco.2023.e02550
   Li PY, 2022, ENVIRON EARTH SCI, V81, DOI 10.1007/s12665-022-10298-9
   Liang W, 2019, SUSTAIN COMPUT-INFOR, V21, P1, DOI 10.1016/j.suscom.2018.11.007
   Liu C, 2024, LAND-BASEL, V13, DOI 10.3390/land13020215
   Liu G., 2022, Environ. Sci. Pollut. Control Ser., P1
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Lu H, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103167
   Luo XX, 2023, SYST RES BEHAV SCI, V40, P235, DOI 10.1002/sres.2832
   Ma F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072593
   Meena P., 2023, Kidney International Reports
   Molla MB., 2015, Research Journal of Agriculture and Environmental Management, V4, P291
   Mu XF, 2022, J GEOGR SCI, V32, P1766, DOI 10.1007/s11442-022-2022-5
   Nations U., 2018, World Urbanization Prospects, Demographic Research
   Rahman MM, 2021, RENEW ENERG, V172, P1063, DOI 10.1016/j.renene.2021.03.103
   Sharifi A, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.142391
   Shi T, 2021, GROWTH CHANGE, V52, P2364, DOI 10.1111/grow.12554
   Song ML, 2022, J ENTERP INF MANAG, V35, P58, DOI 10.1108/JEIM-03-2021-0153
   Sun Y, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104458
   Szpotowicz R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12218884
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Wang ZR, 2023, RESOUR CONSERV RECY, V191, DOI 10.1016/j.resconrec.2023.106912
   Xiao Y, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108667
   Yang M, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191911988
   Yang Y, 2021, ECOL SOC, V26, DOI 10.5751/ES-12280-260220
   Ye CS, 2022, GEOGR SUSTAIN, V3, P299, DOI 10.1016/j.geosus.2022.09.004
   Zhang YT, 2023, AGR WATER MANAGE, V288, DOI 10.1016/j.agwat.2023.108473
   Zieba Zofia, 2020, IOP Conference Series: Earth and Environmental Science, V609, DOI 10.1088/1755-1315/609/1/012061
NR 38
TC 7
Z9 7
U1 53
U2 135
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD APR 1
PY 2024
VL 447
AR 141614
DI 10.1016/j.jclepro.2024.141614
EA MAR 2024
PG 10
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA NT1A7
UT WOS:001202601800001
DA 2025-04-22
ER

PT J
AU Zhang, Y
   Li, YY
AF Zhang, Ying
   Li, Yunyan
TI A Study on the Coupling Coordination of Urban Resilience and the Tourism
   Economy in the Beijing-Tianjin-Hebei Region
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; tourism economy; coupling coordination;
   Beijing-Tianjin-Hebei
AB The high-quality economic growth of tourism is intimately related to a city's overall strength, and urban resilience is an important index to measure the comprehensive strength of a city. Therefore, determining how to enhance the construction of urban resilience, improve the quality of tourism development, and promote the coupling coordination of these two systems has attracted academic attention in recent years. Based on the panel data of 13 cities in the Beijing-Tianjin-Hebei region from 2010 to 2021, an entropy weight method, coupling coordination model, and obstacle degree model were used to analyze the coupling coordination degree, spatiotemporal evolution characteristics, and obstacle factors between urban resilience and the tourism economy. The results show the following: (1) Urban resilience and tourist economic development levels in the Beijing-Tianjin-Hebei region show an overall upward trend, and both of them show obvious spatial differences. (2) The coupling coordination degree of urban resilience and the tourism economy shows a trend of first rising and then declining in the temporal dimension, while it shows a spatial differentiation pattern of "high in the middle and low in the surrounding area" in the spatial dimension. (3) The obstacle degree structure of the coupling coordination of urban resilience and the tourism economy in the Beijing-Tianjin-Hebei region is relatively stable, with economic resilience as the leading obstacle in the urban resilience system and tourist economic development benefits as the leading obstacle in the tourism economy system. In the future, the Beijing-Tianjin-Hebei region needs to strengthen regional cooperation, enhance the driving role of central cities, continuously improve urban resilience, and promote the high-quality development of the tourism economy.
C1 [Zhang, Ying; Li, Yunyan] Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China.
   [Zhang, Ying] Shandong Youth Univ Polit Sci, Modern Serv Management Sch, Jinan 250103, Peoples R China.
C3 Beijing University of Technology; Shandong Youth University of Political
   Science
RP Li, YY (corresponding author), Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China.
EM zhangying@sdyu.edu.cn; liyunyan@bjut.edu.cn
FU National Social Science Foundation of China [21FJYB023]; Social Science
   Foundation of Beijing, China [19YJA002]; Service Capital Major Strategic
   Decision Consulting Project of Beijing University of Technology
   [011000514122545]
FX This research was funded by National Social Science Foundation of China
   (Grant No.21FJYB023); Social Science Foundation of Beijing, China (Grant
   No. 19YJA002); Service Capital Major Strategic Decision Consulting
   Project of Beijing University of Technology (011000514122545).
CR Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   [陈明华 Chen Minghua], 2019, [中国软科学, China Soft Science], P45
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph181910231
   Cheng L, 2020, CURR ISSUES TOUR, V23, P2602, DOI 10.1080/13683500.2019.1711029
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Ding CH, 2024, INT J DISAST RISK RE, V102, DOI 10.1016/j.ijdrr.2024.104255
   Dong XJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041321
   Du ZW, 2019, J GEOGR SCI, V29, P1331, DOI 10.1007/s11442-019-1662-6
   Fang Y.L., 2022, PROG GEOGR, V41, P214, DOI [10.18306/dlkxjz.2022.02.003, DOI 10.18306/DLKXJZ.2022.02.003]
   Gao YP, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244024
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Ke L. N., 2022, Tourism Forum, V15, P28
   Li J, 2024, ENVIRON IMPACT ASSES, V106, DOI 10.1016/j.eiar.2024.107518
   Li LY, 2020, LANDSCAPE URBAN PLAN, V194, DOI 10.1016/j.landurbplan.2019.103703
   Li WW, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102796
   Lin VS, 2019, J TRAVEL RES, V58, P760, DOI 10.1177/0047287518773919
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Liu NA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010456
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Luo X, 2022, WATER-SUI, V14, DOI 10.3390/w14071083
   Ma MY, 2022, ECOL INDIC, V142, DOI 10.1016/j.ecolind.2022.109149
   Maiti A, 2023, TOURISM ECON, V29, P1790, DOI 10.1177/13548166221140629
   McIntyre-Mills JJ, 2023, SYST PRACT ACT RES, V36, P275, DOI 10.1007/s11213-022-09604-0
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miftah A.Z., 2023, KnE Soc. Sci, V2023, P463, DOI DOI 10.18502/KSS.V8I5.13017
   Peng KJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032702
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Tang CC, 2023, J CLEAN PROD, V426, DOI 10.1016/j.jclepro.2023.139076
   Wang H, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0282194
   Wang J., 2024, Appl. Math. Nonlinear Sci, V9, P1, DOI [10.2478/AMNS-2024-0875, DOI 10.2478/AMNS-2024-0875]
   Wang K, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151310527
   Wang XL, 2023, J ENVIRON MANAGE, V331, DOI 10.1016/j.jenvman.2022.117124
   Wei ZQ, 2023, ENVIRON SCI POLLUT R, V30, P115820, DOI 10.1007/s11356-023-30456-1
   Widianingsih I, 2023, SYST PRACT ACT RES, V36, P321, DOI 10.1007/s11213-022-09606-y
   Yang X. P., 2020, TOURISM SCI, V34, P23, DOI DOI 10.16323/J.CNKI.LYKX.2020.02.002
   Yang XP, 2021, ENVIRON SCI POLLUT R, V28, P65094, DOI 10.1007/s11356-021-14932-0
   Yang Y, 2021, ANN TOURISM RES, V91, DOI 10.1016/j.annals.2021.103313
   [余洁 Yu Jie], 2024, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V38, P181
   [袁家德 Yuan Jiade], 2023, [陕西师范大学学报. 自然科学版, Journal of Shaanxi Normal University. Natural Science Edition], V51, P72
   Zeng P, 2022, J CLEAN PROD, V365, DOI 10.1016/j.jclepro.2022.132730
   Zhang G., 2023, J. Ocean. Univ. China (Soc. Sci.), V4, P36, DOI [10.16497/j.cnki.1672-335X.202304004, DOI 10.16497/J.CNKI.1672-335X.202304004]
   Zhang Ling-yun, 2023, Tourism Tribune, V38, P1, DOI 10.19765/j.cnki.1002-5006.2023.01.001
   Zhang P., 2018, Urban Probl, V9, P27, DOI [10.13239/j.bjsshkxy.cswt.180904, DOI 10.13239/J.BJSSHKXY.CSWT.180904]
   Zhang PF, 2024, ENVIRON DEV SUSTAIN, V26, P3793, DOI 10.1007/s10668-022-02858-7
   Zhao S.H., 2020, Tourism Science, V34, P78, DOI DOI 10.16323/J.CNKI.LYKX.2020.03.006
   [郑准 Zheng Zhun], 2024, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V33, P271
   Zhou X., 2024, Resource Development and Market, V40, P231, DOI 10.3969/j.issn.1005-8141.2024.02.008
NR 48
TC 2
Z9 2
U1 21
U2 35
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2024
VL 16
IS 12
AR 4946
DI 10.3390/su16124946
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 WP6A2
UT WOS:001256104700001
OA gold
DA 2025-04-22
ER

PT J
AU Liao, ZL
   He, XY
   Tian, WC
   Zhang, ZY
   Wang, HJ
   Xie, WY
AF Liao, Zhenliang
   He, Xinyu
   Tian, Wenchong
   Zhang, Zhiyu
   Wang, Huijuan
   Xie, Wanying
TI An integrated assessment of urban flooding risk and resilience based on
   spatial grids
SO URBAN WATER JOURNAL
LA English
DT Article
DE Flood resilience; flood risk; integrated assessment; spatial grid; urban
   flooding
ID INUNDATION MODEL; MANAGEMENT; RESOLUTION; FRAMEWORK
AB During heavy rainfall events, stormwater exceeds the drainage capacity and overflows onto the urban surface, causing flooding problems. Risk and resilience assess the severity and recovery characteristics of flooding damage from static and dynamic perspectives independently. This work proposes a spatial grid-based integrated risk-resilience assessment framework for urban flooding to consider both flooding risk and resilience aspects at a detailed level. The framework formulates an urban drainage-surface coupled model to simulate the inundation process. A risk-resilience classification method is proposed to identify the flood-affected characteristics of each grid, with flooding risk and resilience values considering socio-economic characteristics and step-by-step inundation dynamics. According to case results and discussion, the grid-based classification classifies all the grids into four types with different risk and resilience levels, in which 7.02% grids are identified as the worst type with high risk and low resilience. The assessment framework enables detailed-level targeted management for urban flooding problems.
C1 [Liao, Zhenliang; Wang, Huijuan; Xie, Wanying] Xinjiang Univ, Coll Civil Engn & Architecture, Urumqi, Peoples R China.
   [Liao, Zhenliang; Zhang, Zhiyu] Tongji Univ, UNEP Tongji Inst Environm Sustainable Dev, Key Lab Yangtze River Water Environm Minist Educ, Shanghai, Peoples R China.
   [He, Xinyu] Shanghai Urban Construct Design & Res Inst Grp Co, Urban Dev Consulting Res Inst, Shanghai, Peoples R China.
   [Tian, Wenchong; Zhang, Zhiyu] City Univ Hong Kong, Sch Energy & Environm, Hong Kong, Peoples R China.
C3 Xinjiang University; Tongji University; City University of Hong Kong
RP Zhang, ZY (corresponding author), Tongji Univ, UNEP Tongji Inst Environm Sustainable Dev, Key Lab Yangtze River Water Environm Minist Educ, Shanghai, Peoples R China.; Zhang, ZY (corresponding author), City Univ Hong Kong, Sch Energy & Environm, Hong Kong, Peoples R China.
EM jonathan-yu@tongji.edu.cn
RI Zhang, Zhiyu/GVT-8002-2022; Xie, Wanying/W-9684-2018; Wang,
   Hongmei/HGT-7374-2022; He, Xinyu/HLG-7831-2023
OI Tian, WenChong/0000-0002-9418-6306; Zhang, Zhiyu/0000-0001-6898-2176
FU National Natural Science Foundation of China [52170102]
FX This work was supported by the National Natural Science Foundation of
   China under Grant No. [52170102].
CR Adeogun Adeniyi Ganiyu, 2015, Water Science, V29, P146, DOI 10.1016/j.wsj.2015.12.001
   Bates PD, 2010, J HYDROL, V387, P33, DOI 10.1016/j.jhydrol.2010.03.027
   Bertrand N, 2022, SPRINGER WATER, P315, DOI 10.1007/978-981-19-1600-7_20
   Blackmore JM, 2008, J WATER RES PLAN MAN, V134, P224, DOI 10.1061/(ASCE)0733-9496(2008)134:3(224)
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Chang TJ, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127001
   Chen JL, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126601
   Chen WJ, 2018, J HYDROL, V564, P1022, DOI 10.1016/j.jhydrol.2018.07.069
   Commission E., 2016, Global Flood Depth-Damage Functions Methodology and the Database with Guidelines, DOI [10.2760/16510, DOI 10.2760/16510]
   Cosco C, 2020, URBAN WATER J, V17, P656, DOI 10.1080/1573062X.2020.1811881
   Dai SB, 2023, J HYDROL, V625, DOI 10.1016/j.jhydrol.2023.130089
   Disse M., 2020, Water Security, V9, P54, DOI 10.1016/j.wasec.2020.100059
   Guidolin M, 2016, ENVIRON MODELL SOFTW, V84, P378, DOI 10.1016/j.envsoft.2016.07.008
   Hammond M, 2018, URBAN WATER J, V15, P427, DOI 10.1080/1573062X.2018.1508598
   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
   Huang XW, 2022, J GEOPHYS RES-ATMOS, V127, DOI 10.1029/2022JD037387
   Karmakar S., 2022, Advances in Urban Design and Engineering. Design Science and Innovation, DOI [https://doi.org/10.1007/978-981-19-0412-75, DOI 10.1007/978-981-19-0412-75]
   Kiefer C.J., 1957, J HYDRAUL DIV, V83, P1, DOI [10.1061/JYCEAJ.0000104, DOI 10.1061/JYCEAJ.0000104]
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kramer M, 2016, INT J DISAST RISK RE, V17, P77, DOI 10.1016/j.ijdrr.2016.04.003
   Kuang D, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.111025
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Leitao JP, 2013, WATER SCI TECHNOL, V68, P829, DOI 10.2166/wst.2013.310
   Li GY, 2023, J ENVIRON MANAGE, V329, DOI 10.1016/j.jenvman.2022.117040
   Liao ZL, 2019, ENVIRON SCI POLLUT R, V26, P6436, DOI 10.1007/s11356-018-3862-5
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   McDonnell Bryant E, 2020, J Open Source Softw, V5, P1, DOI 10.21105/joss.02292
   Mugume SN, 2017, URBAN WATER J, V14, P727, DOI 10.1080/1573062X.2016.1253754
   Nguyen HD, 2024, SCI TOTAL ENVIRON, V921, DOI 10.1016/j.scitotenv.2024.171204
   Nguyen HD, 2023, NAT HAZARDS, V118, P1933, DOI 10.1007/s11069-023-06098-4
   Padulano R, 2021, J HYDROL, V602, DOI 10.1016/j.jhydrol.2021.126756
   Pallathadka A, 2022, LANDSCAPE URBAN PLAN, V223, DOI 10.1016/j.landurbplan.2022.104417
   Paprotny D, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04253-1
   Peng JQ, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103080
   Prashar N, 2023, PROG DISASTER SCI, V20, DOI 10.1016/j.pdisas.2023.100299
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Qi M, 2022, WATER-SUI, V14, DOI 10.3390/w14132000
   Rossman L., 2015, Storm Water Management Model User's Manual Version 5.1 353
   Rözer V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/aca8bc
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Sañudo E, 2020, WATER-SUI, V12, DOI 10.3390/w12092647
   Seyoum SD, 2012, J HYDRAUL ENG-ASCE, V138, P23, DOI 10.1061/(ASCE)HY.1943-7900.0000485
   Shao ZY, 2024, FRONT ENV SCI ENG, V18, DOI 10.1007/s11783-024-1782-9
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Tate E, 2021, NAT HAZARDS, V106, P435, DOI 10.1007/s11069-020-04470-2
   Tavakolifar H, 2021, J HYDROL ENG, V26, DOI 10.1061/(ASCE)HE.1943-5584.0002036
   Wang T, 2023, J ENVIRON MANAGE, V345, DOI 10.1016/j.jenvman.2023.118787
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Wang YT, 2018, ENVIRON MODELL SOFTW, V107, P85, DOI 10.1016/j.envsoft.2018.06.010
   Xia JQ, 2022, J HYDROL, V609, DOI 10.1016/j.jhydrol.2022.127667
   Xie JQ, 2017, ENVIRON MODELL SOFTW, V95, P143, DOI 10.1016/j.envsoft.2017.06.027
   Xu T, 2023, WATER SCI TECHNOL, V87, P2820, DOI 10.2166/wst.2023.149
   Yang M., 2020, Research on the Construction of Urban Multi-Objective Stormwater Storage System Based on Waterlogging Risk
   Ye C., 2022, Int. J. Disaster Risk Reduct, V82, P103318, DOI DOI 10.1016/J.IJDRR.2022.103318
   Ye CL, 2022, J ENVIRON MANAGE, V321, DOI 10.1016/j.jenvman.2022.115935
   Yu D, 2011, HYDROL PROCESS, V25, P36, DOI 10.1002/hyp.7813
   Zeng ZY, 2022, INT J DISAST RISK SC, V13, P448, DOI 10.1007/s13753-022-00416-3
   Zhang ML, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127105
   Zhi GZ, 2020, J ENVIRON MANAGE, V268, DOI 10.1016/j.jenvman.2020.110521
NR 60
TC 0
Z9 0
U1 34
U2 34
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 FEB 7
PY 2025
VL 22
IS 2
BP 174
EP 185
DI 10.1080/1573062X.2024.2443895
EA JAN 2025
PG 12
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA S9N2X
UT WOS:001389354200001
DA 2025-04-22
ER

PT J
AU Li, ZM
   Yang, YT
   Dai, JQ
AF Li, Zongmin
   Yang, Yatong
   Dai, Jingqi
TI Symbiosis theory based urban resilience evaluation under public health
   emergencies
SO ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS
LA English
DT Article; Early Access
DE Urban resilience; public health emergencies; symbiosis theory; hesitant
   fuzzy evaluation
ID PERSPECTIVE; EARTHQUAKE; EVOLUTION; REGION; SYSTEM; CITY
AB The frequency and profound impact of public health emergencies (PHEs) has made assessing urban resilience under PHEs a crucial aspect of urban governance. In fact, effectively addressing PHEs requires close collaboration among social structures (governments, enterprises, social organisations, and residents). Hence, to explore the influence of the performance and collaboration of social structures on urban resilience, based on symbiotic theory, this study viewed social structures as symbiotic units and systematically analysed urban resilience in responding to PHEs. Corresponding to the three elements of symbiosis theory (symbiotic units, symbiotic relationships, and symbiotic environment), resistance, coordination, and adaptability - three dimensions were considered, and a comprehensive evaluation framework comprising 30 indicators was established. To address issues of subjectivity and uncertainty of evaluation, a data-driven weighting approach was proposed. Additionally, empirical analysis and spatial econometric analysis were undertaken on 18 prefecture-level cities and 3 autonomous prefectures of Sichuan Province, one of the worst-hit provinces during the COVID-19 pandemic. Then, overall recommendations and specific suggestions for each study area were put forward to enhance resilience. This study is the first to assess resilience from the perspective of urban social structures, offering new insights for future urban resilience research and contributing to sustainable urban development.
C1 [Li, Zongmin; Yang, Yatong] Sichuan Univ, Business Sch, Chengdu, Peoples R China.
   [Dai, Jingqi] Civil Aviat Flight Univ China, Sch Econ & Management, Guanghan 618300, Peoples R China.
C3 Sichuan University; Civil Aviation Flight University of China
RP Dai, JQ (corresponding author), Civil Aviat Flight Univ China, Sch Econ & Management, Guanghan 618300, Peoples R China.
EM daijingqi@cafuc.edu.cn
FU National Social Science Foundation of China [72174134]; Major Program of
   the National Social Science Foundation of China [22ZD142]; Fundamental
   Research Funds for the Central Universities [24CAFUC04017]
FX This research is supported by the National Natural Science Foundation of
   China [grant number 72174134], the Major Program of the National Social
   Science Foundation of China [grant number 22&ZD142], and the Fundamental
   Research Funds for the Central Universities [grant number 24CAFUC04017].
CR An J, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app131810171
   An M, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103493
   Bastaminia A, 2018, ENVIRON HAZARDS-UK, V17, P310, DOI 10.1080/17477891.2018.1456397
   Boccia S, 2020, JAMA INTERN MED, V180, P927, DOI 10.1001/jamainternmed.2020.1447
   Cao X, 2020, SCI TOTAL ENVIRON, V717, DOI 10.1016/j.scitotenv.2020.137114
   Cheng YR, 2023, INT J DISAST RISK RE, V97, DOI 10.1016/j.ijdrr.2023.104028
   Cities Alliance, 2015, Accelerating city resilience PDF document
   de Bary A., 1879, Die Erscheinung der Symbiose, P1
   Delaux PM, 2021, SCIENCE, V371, P796, DOI 10.1126/science.aba6605
   Ding ZQ, 2020, J GLOB HEALTH, V10, DOI 10.7189/jogh.10.011005
   Doménech T, 2011, BUS STRATEG ENVIRON, V20, P281, DOI 10.1002/bse.695
   Dong L, 2020, EMERG INFECT DIS, V26, P1616, DOI 10.3201/eid2607.200407
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Feofilovs M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102328
   Fu YB, 2023, ENVIRON SCI POLLUT R, V30, P22963, DOI 10.1007/s11356-022-23555-y
   Güngör M, 2024, INT J DISAST RISK RE, V108, DOI 10.1016/j.ijdrr.2024.104552
   Hu B, 2023, FRONT PUBLIC HEALTH, V11, DOI 10.3389/fpubh.2023.992197
   Imperiale AJ, 2024, SUSTAIN DEV, V32, P1571, DOI 10.1002/sd.2690
   Ji YP, 2020, LANCET GLOB HEALTH, V8, pE480, DOI 10.1016/S2214-109X(20)30068-1
   Khatri RB, 2023, ARCH PUBLIC HEALTH, V81, DOI 10.1186/s13690-023-01223-y
   Li DQ, 2015, INFORM SCIENCES, V321, P103, DOI 10.1016/j.ins.2015.03.076
   Li Z, 2022, RENEW ENERG, V184, P564, DOI 10.1016/j.renene.2021.11.112
   Lianxiao, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000551
   Liu J, 2021, TRANSPORT RES E-LOG, V154, DOI 10.1016/j.tre.2021.102464
   Liu Y, 2020, EXPERT SYST APPL, V161, DOI 10.1016/j.eswa.2020.113738
   Liu YH, 2023, URBAN CLIM, V50, DOI 10.1016/j.uclim.2023.101591
   McPhearson T, 2016, BIOSCIENCE, V66, P198, DOI 10.1093/biosci/biw002
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   OECD, 2018, Building resilient cities: An assessment of disaster risk management policies in Southeast Asia PDF document, DOI [10.1787/9789264305397-en, DOI 10.1787/9789264305397-EN]
   Oldfield L, 2025, LANCET GLOB HEALTH, V13, pe50, DOI 10.1016/S2214-109X(24)00442-X
   Parker DJ, 2020, ENVIRON HAZARDS-UK, V19, P1, DOI 10.1080/17477891.2019.1694857
   Parvin GA, 2021, ENVIRON HAZARDS-UK, V20, P550, DOI 10.1080/17477891.2021.1887800
   Plough A, 2013, AM J PUBLIC HEALTH, V103, P1190, DOI 10.2105/AJPH.2013.301268
   Proctor AS, 2025, BMC PUBLIC HEALTH, V25, DOI 10.1186/s12889-025-21554-5
   Qiao D, 2024, J CLEAN PROD, V445, DOI 10.1016/j.jclepro.2024.141383
   QUISPEL A, 1951, Antonie Van Leeuwenhoek, V17, P69, DOI 10.1007/BF02062248
   Rani P, 2021, EXPERT SYST APPL, V182, DOI 10.1016/j.eswa.2021.115267
   Razafindrabe BHN, 2015, ENVIRON HAZARDS-UK, V14, P16, DOI 10.1080/17477891.2014.981497
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Shao YS, 2023, FRONT ENV SCI ENG, V17, DOI 10.1007/s11783-023-1756-3
   Song JL, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103698
   Suárez M, 2024, LANDSCAPE URBAN PLAN, V241, DOI 10.1016/j.landurbplan.2023.104923
   Sun JY, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16209091
   The UN Habitat, 2012, City resilience profiling programme PDF document
   The UN Office for Disaster Risk Reduction, 2020, Making cities resilient 2030 (MCR2030) PDF document
   Tumpey AJ., 2018, The CDC Field Epidemiology Manual Centers for Disease Control and Prevention: Epidemic Intelligence Service, P243, DOI DOI 10.1093/OSO/9780190933692.003.0012
   UN, 2015, UNGA Resolution 70/1
   United Nations Human Settlements Programme, 2021, Cities and pandemics: Towards a more just, green and healthy future
   Wang WD, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104798
   Wang Y, 2022, SCI TOTAL ENVIRON, V818, DOI 10.1016/j.scitotenv.2021.151731
   Xia HS, 2025, INT J PROD RES, V63, P628, DOI 10.1080/00207543.2023.2267680
   Xu JP, 2018, ENVIRON HAZARDS-UK, V17, P269, DOI 10.1080/17477891.2018.1500878
   Xu ZS, 2011, INT J INTELL SYST, V26, P410, DOI 10.1002/int.20474
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang J, 2022, INNOVATION-AMSTERDAM, V3, DOI 10.1016/j.xinn.2022.100306
   Yang L, 2023, PROG PLANN, V168, DOI 10.1016/j.progress.2022.100657
   Ye CS, 2022, GEOGR SUSTAIN, V3, P299, DOI 10.1016/j.geosus.2022.09.004
   Yu SY, 2023, HABITAT INT, V136, DOI 10.1016/j.habitatint.2023.102783
   Zhang WB, 2024, LANDSCAPE URBAN PLAN, V248, DOI 10.1016/j.landurbplan.2024.105110
   Zhao M, 2024, HEALTH SCI REP-US, V7, DOI 10.1002/hsr2.1857
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhou C, 2021, INFORM PROCESS MANAG, V58, DOI 10.1016/j.ipm.2021.102554
   Zhu SY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109959
NR 63
TC 0
Z9 0
U1 2
U2 2
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 26
PY 2025
DI 10.1080/17477891.2025.2482544
EA MAR 2025
PG 26
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 0SK8S
UT WOS:001454915800001
DA 2025-04-22
ER

PT J
AU Bueno, S
   Bañuls, VA
   Gallego, MD
AF Bueno, Salvador
   Banuls, Victor A.
   Gallego, M. Dolores
TI Is urban resilience a phenomenon on the rise? A systematic literature
   review for the years 2019 and 2020 using textometry
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Review
DE Urban resilience; Systematic literature review; PRISMA method;
   Textometric analysis; Iramuteq
ID COMMUNITY RESILIENCE; ENVIRONMENTAL-CHANGE; NATURAL DISASTERS;
   CLIMATE-CHANGE; CITIES; VULNERABILITY; LESSONS; CHALLENGES; MANAGEMENT;
   CITY
AB There is growing interest in understanding and addressing studies about the capacity of cities to resist, absorb, adapt, and recover from a wide variety of different threats, such as terrorism, hazards, climate change, economic crisis, and pandemics, among others. This phenomenon, called urban resilience, emerged in the early 70s. Since then, investigations have contributed to increasing its conceptual framework. Nevertheless, there are still some weaknesses and gaps in the demarcation of its foundations, topics, and peculiarities. The present article is an attempt to fill this gap. Specifically, this study aims to carry out a systematic literature review for the years 2019 and 2020 to fulfil two objectives: (i) to categorize recent topics in the field of urban resilience; and (ii) to determine whether the topic of urban resilience continues to offer new research opportunities. Thus, a firm understanding of the principles of urban resilience and main concerns will allow us to address disaster risk in urban areas in a more effective way. With that in mind, PRISMA methodology was applied, through which a total of 2921 publications about urban resilience were identified. After implementing the method, 251 scientific documents were finally included. Later, a textometric analysis was carried out using IRAMUTEQ software. The findings show that there are four clusters of urban resilience studies: (1) Socio-economic and cultural studies, (2) Local governance resilience initiatives, (3) Research framework and review studies, and (4) Disasters studies. These results confirm that urban resilience is a growing phenomenon that contributes relevant advantages for citizens' well-being.
C1 [Bueno, Salvador; Banuls, Victor A.; Gallego, M. Dolores] Univ Pablo de Olavide, Seville, Spain.
C3 Universidad Pablo de Olavide
RP Bueno, S (corresponding author), Univ Pablo de Olavide, Seville, Spain.
EM sbueavi@upo.es; vabansil@upo.es; mdgalper@upo.es
RI Pereira, María/AAB-5795-2019; Bueno, Salvador/AAA-6652-2019; Banuls,
   Victor/K-6579-2012
OI Bueno Avila, Salvador/0000-0001-8482-4354; Banuls,
   Victor/0000-0001-8776-8415
FU Spanish Ministry of Science and Innovation [PID2019-105414RB-C33]
FX This work was supported by the Spanish Ministry of Science and
   Innovation [research grant PID2019-105414RB-C33] .
CR Adger WN, 2020, URBAN STUD, V57, P1588, DOI 10.1177/0042098020904594
   Afshari H, 2018, RESOUR CONSERV RECY, V139, P315, DOI 10.1016/j.resconrec.2018.09.002
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Almeida MD, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062227
   Avelar ABA, 2019, INT J MANAG EDUC-OXF, V17, DOI 10.1016/j.ijme.2019.100322
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2007, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters
   [Anonymous], 2009, UNISDR TERM DIS RISK
   Antuña-Rozado C, 2019, IOP C SER EARTH ENV, V297, DOI 10.1088/1755-1315/297/1/012001
   Archer D., 2019, INT J URBAN SUSTAIN, P1, DOI [10.1080/ 19463138.2019.1671425, 00(00, DOI 10.1080/19463138.2019.1671425,00(00]
   Ardoin NM, 2020, EDUC RES REV-NETH, V31, DOI [10.1016/j.edurev.2020.100353, 10.1016/edurev.2020.100353]
   Armitage D, 2006, ECOL SOC, V11
   Arup, 2014, CIT RES IND
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Bakshi PR, 2020, CARBOHYD POLYM, V242, DOI 10.1016/j.carbpol.2020.116430
   Barata-Salgueiro T, 2014, CITIES, V36, P107, DOI 10.1016/j.cities.2013.01.007
   Baravikova A, 2021, EUR PLAN STUD, V29, P241, DOI 10.1080/09654313.2020.1729346
   Del Pozo PB, 2020, GEOGR REV, V110, P322, DOI 10.1080/00167428.2019.1684195
   Bowden-Green T, 2020, PERS INDIV DIFFER, V164, DOI 10.1016/j.paid.2020.110040
   Brand D, 2016, J URBAN DES, V21, P159, DOI 10.1080/13574809.2015.1133231
   Brombacher B., 2019, EUROPEAN J SECURITY, V4
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Brugmann J, 2012, ENVIRON URBAN, V24, P215, DOI 10.1177/0956247812437130
   Buggin A., 2019, IOP C SER MAT SCI EN, V609
   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)]
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Cardinale I, 2022, NETW SPAT ECON, V22, P691, DOI 10.1007/s11067-019-09462-9
   Cardoso MA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062349
   Chandler David., 2017, The Routledge Handbook of International Resilience
   Chen YM, 2019, PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE (ICEGOV2019), P270, DOI 10.1145/3326365.3326401
   Chuang WC, 2018, J ENVIRON MANAGE, V213, P353, DOI 10.1016/j.jenvman.2018.01.083
   Ciccaglione R, 2019, DISASTER PREV MANAG, V28, P501, DOI 10.1108/DPM-02-2018-0064
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Connolly C, 2020, URBAN STUD, V57, P1485, DOI 10.1177/0042098018807573
   Cruz S.S., 2012, Resilience Thinking in Urban Planning, P53, DOI [DOI 10.1007/978-94-007-5476-8_4, 10.1007/978-94-007-5476-8_4]
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   da Silva CA, 2020, REGE-REV GEST, V27, P61, DOI 10.1108/REGE-12-2018-0117
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Das S, 2020, AMBIO, V49, P950, DOI 10.1007/s13280-019-01241-7
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Demiroz F, 2019, LOCAL GOV STUD, V45, P308, DOI 10.1080/03003930.2018.1541796
   Dicken P., 2007, Global Shift: Mapping the Changing Contours of the World Economy
   Doberstein B, 2019, NAT HAZARDS, V98, P31, DOI 10.1007/s11069-018-3529-z
   Doherty R.E., 1923, T AM I ELECT ENG, V42, P552, DOI [10.1109/TAIEE.1923.5060896, DOI 10.1109/TAIEE.1923.5060896]
   Dupre K, 2020, ARCHNET-IJAR, V14, P187, DOI 10.1108/ARCH-07-2019-0178
   Eltinay N, 2019, INT J DISASTER RESIL, V10, P222, DOI 10.1108/IJDRBE-05-2019-0028
   Erena SH, 2019, NAT HAZARDS, V97, P495, DOI 10.1007/s11069-019-03654-9
   Etinay N, 2018, PROCEDIA ENGINEER, V212, P575, DOI 10.1016/j.proeng.2018.01.074
   Fastenrath S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030693
   Feofilovs M, 2020, INT J DISASTER RESIL, V11, P615, DOI 10.1108/IJDRBE-02-2020-0013
   Fergusson L., 2020, Journal of Work-Applied Management, V12, P22
   Finkenbusch P, 2019, GLOB SOC, V33, P121, DOI 10.1080/13600826.2018.1539955
   Florano E.R., 2019, SOCIAL SCI ASIA, V5, P18
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fox-Lent C, 2018, LECT N ENERG, V65, P29, DOI 10.1007/978-3-319-75798-8_2
   Frizzo-Barker J, 2020, INT J INFORM MANAGE, V51, DOI 10.1016/j.ijinfomgt.2019.10.014
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Gharbia M, 2020, J BUILD ENG, V32, DOI 10.1016/j.jobe.2020.101584
   Giannakidou C, 2020, ENVIRON PROCESS, V7, P749, DOI 10.1007/s40710-020-00442-7
   Gibson CA, 2010, AUST J EMERG MANAG, V25, P8
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Grove K, 2020, ANN AM ASSOC GEOGR, V110, P1613, DOI 10.1080/24694452.2020.1715778
   Gundogan B, 2020, JAAD INT, V1, P157, DOI 10.1016/j.jdin.2020.07.007
   Hallinger P, 2020, INT J MANAG EDUC-OXF, V18, DOI 10.1016/j.ijme.2020.100418
   Heinzlef C, 2020, NAT HAZARD EARTH SYS, V20, P1049, DOI 10.5194/nhess-20-1049-2020
   Hodson Mike., 2010, CITY, V14, P298, DOI DOI 10.1080/13604813.2010.482277
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang-Lachmann JT, 2019, SUSTAIN ACCOUNT MANA, V10, P745, DOI 10.1108/SAMPJ-03-2018-0052
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jiménez M, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01587-9
   Jiménez-Medina P, 2021, INT REGIONAL SCI REV, V44, P170, DOI 10.1177/0160017620925130
   Jon I, 2019, RESILIENCE-ABINGDON, V7, P107, DOI 10.1080/21693293.2018.1461481
   Jovanovic A., 2020, Environment Systems & Decisions, V40, P252, DOI 10.1007/s10669-020-09779-8
   Kataria I., 2020, CITIES HLTH, P1, DOI [10.1080/23748834.2020.1805280,00(00, DOI 10.1080/23748834.2020.1805280,00(00]
   Keenan Jesse M., 2020, Environment Systems & Decisions, V40, P216, DOI 10.1007/s10669-020-09773-0
   Khadka C, 2018, FOREST POLICY ECON, V97, P73, DOI 10.1016/j.forpol.2018.08.017
   Khan A, 2021, TECHNOL FORECAST SOC, V167, DOI 10.1016/j.techfore.2021.120737
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Lamond JE, 2009, PROC INST CIV ENG-U, V162, P63, DOI 10.1680/udap.2009.162.2.63
   Lei YD, 2014, NAT HAZARDS, V70, P609, DOI 10.1007/s11069-013-0831-7
   Lemaire B., 2008, ACT 9 JOURN INT AN S, P725
   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]
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Luo T, 2020, J ACAD LIBR, V46, DOI 10.1016/j.acalib.2020.102193
   Ma F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072593
   Mahieu B, 2020, FOOD QUAL PREFER, V86, DOI 10.1016/j.foodqual.2020.104008
   Mao XR, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101678
   Marto R, 2018, J DEV ECON, V135, P574, DOI 10.1016/j.jdeveco.2018.08.008
   Masik G, 2020, MISC GEOGR, V24, P30, DOI 10.2478/mgrsd-2019-0028
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   McLellan B., 2012, Challenges, V3, P153, DOI [DOI 10.3390/CHALLE3020153, 10.3390/challe3020153]
   Meerow S, 2021, URBAN AFF REV, V57, P70, DOI 10.1177/1078087420905655
   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
   Meerow SA, 2012, INT J URBAN SUSTAIN, V4, P20, DOI 10.1080/19463138.2012.667414
   Meyer M, 2020, TECHNOL FORECAST SOC, V160, DOI 10.1016/j.techfore.2020.120206
   Migliorini M, 2019, DISASTER PREV MANAG, V28, P796, DOI 10.1108/DPM-09-2019-0291
   Miller MA, 2020, URBAN STUD, V57, P1359, DOI 10.1177/0042098020903955
   Mngumi LE, 2021, GEOJOURNAL, V86, P2671, DOI 10.1007/s10708-020-10214-3
   Mngumi LE, 2020, LANDSC ECOL ENG, V16, P187, DOI 10.1007/s11355-020-00411-0
   Molyneaux L, 2012, ENERG POLICY, V47, P188, DOI 10.1016/j.enpol.2012.04.057
   Monstadt J, 2019, URBAN STUD, V56, P2191, DOI 10.1177/0042098019833907
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   Montella I, 2018, TECHNE, V15, P331, DOI 10.13128/Techne-22121
   Morelli A.B., 2019, MEASURING URBAN ROAD
   Morelli F, 2020, CLIMATIC CHANGE, V159, P195, DOI 10.1007/s10584-019-02583-7
   Mouro C, 2018, MAR POLICY, V97, P163, DOI 10.1016/j.marpol.2018.06.008
   Nasiri H, 2019, INT J ENVIRON SCI TE, V16, P2249, DOI 10.1007/s13762-018-1797-5
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nielsen L, 2021, SUSTAIN RESIL INFRAS, V6, P339, DOI 10.1080/23789689.2019.1611056
   OFarrell P., 2019, GLOBAL SUSTAIN, V2
   Olazabal M, 2016, ENVIRON INNOV SOC TR, V18, P18, DOI 10.1016/j.eist.2015.06.006
   Oliva S., 2018, City, Culture and Society, V15, P53, DOI DOI 10.1016/J.CCS.2018.05.005
   Orewere E., 2020, CURBING LAND DEGRADA, V6, P1
   Pahlevan-Sharif S, 2019, J HOSP TOUR MANAG, V39, P158, DOI 10.1016/j.jhtm.2019.04.001
   Panda A, 2020, INT J DISASTER RESIL, V11, P507, DOI 10.1108/IJDRBE-07-2019-0046
   Patel R, 2020, ENVIRON URBAN, V32, P589, DOI 10.1177/0956247820909275
   Pearson Leonie J., 2014, Resilient Sustainable Cities: A future, P242, DOI [DOI 10.4324/9780203593066, DOI 10.1080/09613218.2014.850602]
   Pelletier MC, 2020, AQUAT SCI, V82, DOI 10.1007/s00027-020-00717-z
   Perrings C, 2006, ENVIRON DEV ECON, V11, P417, DOI 10.1017/S1355770X06003020
   Pessoa NRC, 2020, INT J NURS SCI, V7, P369, DOI 10.1016/j.ijnss.2020.06.007
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Quandt A, 2018, WORLD DEV, V107, P253, DOI 10.1016/j.worlddev.2018.02.024
   Ratinaud P., Iramuteq: Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires
   Reinert M., 1990, BMS-B SOCIOL METHOD, V26, P24, DOI DOI 10.1177/075910639002600103
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Saitta F., 2019, PROPOSALS BUILDING R, P2
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Salat S, 2011, PROCEDIA ENGINEER, V21, P1193, DOI 10.1016/j.proeng.2011.11.2130
   Salehi S, 2019, NAT HAZARDS, V96, P521, DOI 10.1007/s11069-018-3551-1
   Sangwa NR, 2018, J MANUF TECHNOL MANA, V29, P768, DOI 10.1108/JMTM-09-2017-0196
   Sarker MNI, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101769
   Serre D, 2013, NAT HAZARD EARTH SYS, V13, P2675, DOI 10.5194/nhess-13-2675-2013
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Shaker RR, 2019, URBAN SCI, V3, DOI 10.3390/urbansci3020044
   Shaw N., 1924, Q J ROY METEOR SOC, V50, P1, DOI [10.1002/qj.49705020902, DOI 10.1002/QJ.49705020902]
   Simpson NP, 2019, INT J URBAN SUSTAIN, V11, P257, DOI 10.1080/19463138.2019.1642203
   Snyder H, 2019, J BUS RES, V104, P333, DOI 10.1016/j.jbusres.2019.07.039
   Son C, 2020, APPL ERGON, V87, DOI 10.1016/j.apergo.2020.103114
   Song JL, 2020, SOC INDIC RES, V148, P189, DOI 10.1007/s11205-019-02188-8
   Spector S, 2019, REG ENVIRON CHANGE, V19, P543, DOI 10.1007/s10113-018-1418-3
   Tanner Thomas., 2009, IDS Work. Pap, DOI 10.1111/j.2040-0209.2009.003152.x
   Thomé AMT, 2016, PROD PLAN CONTROL, V27, P408, DOI 10.1080/09537287.2015.1129464
   Thurston R.H., 1874, J. Franklin Inst., V97, P344, DOI [10.1016/0016-0032(74)90403-7, DOI 10.1016/0016-0032(74)90403-7]
   Tonmoy FN, 2020, FRONT WATER, V2, DOI 10.3389/frwa.2020.00003
   Tyler J, 2019, NAT HAZARDS, V96, P1223, DOI 10.1007/s11069-019-03606-3
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   United Nations office for Disaster Risk Reduction, 2015, DISASTER RESILIENCE
   Valizadeh N, 2019, WATER RESOUR MANAG, V33, P4417, DOI 10.1007/s11269-019-02361-1
   Vargas-Hern andez J.G., 2020, ENVIRON DEV SUSTAIN, DOI [10.1007/s10668-020-00623-2,0123456789, DOI 10.1007/S10668-020-00623-2,0123456789]
   Vásquez-Cárdenas J, 2019, AM J ORTHOD DENTOFAC, V156, P442, DOI 10.1016/j.ajodo.2019.05.009
   Verovsek S, 2013, INT J ARCHIT COMPUT, V11, P135, DOI 10.1260/1478-0771.11.2.135
   Wei R., 2020, OPEN J SOCIAL SCI, V8, P407
   Whittemore R, 2005, J ADV NURS, V52, P546, DOI 10.1111/j.1365-2648.2005.03621.x
   Williams RI, 2021, EUR MANAG J, V39, P521, DOI 10.1016/j.emj.2020.09.007
   Wister A, 2020, CAN J AGING, V39, P344, DOI 10.1017/S0714980820000215
   Wubneh M, 2021, PLAN PERSPECT, V36, P363, DOI 10.1080/02665433.2020.1753104
   Xinghua F., 2020, CHINA ANAL SPATIAL S, V30, P1005
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yusmah MY, 2020, NAT HAZARDS, V101, P551, DOI 10.1007/s11069-020-03885-1
   Zhong M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041521
   Zobel CW, 2011, DECIS SUPPORT SYST, V50, P394, DOI 10.1016/j.dss.2010.10.001
NR 164
TC 30
Z9 32
U1 12
U2 115
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 2021
VL 66
AR 102588
DI 10.1016/j.ijdrr.2021.102588
EA SEP 2021
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 WD0QJ
UT WOS:000704652100008
OA hybrid
DA 2025-04-22
ER

PT J
AU Ma, X
   Jia, F
AF Ma, Xin
   Jia, Fen
TI Spatiotemporal Evolution and Convergence Analysis of Urban Economic
   Resilience in China-A Case Study of Jiangsu Province
SO SUSTAINABILITY
LA English
DT Article
DE urban economic resilience; spatiotemporal evolution; spatial
   convergence; Jiangsu Province; China
AB Increased external uncertainties and growing tensions within the urban economic system pose new challenges to the urban economy. How to improve the quality of urban economic development and enhance the resilience of urban economies has become a new goal for sustainable urban development. Therefore, taking Jiangsu Province as an example, this study aims to explore the evolutionary trend of urban economic resilience and provide valuable references for cultivating and enhancing urban economic resilience. Initially, a system of indicators is established based on three dimensions: resistance, adaptability, and resilience. Then, combined with the entropy method, coefficient of variation method, kernel density method, natural break-point method, and Theil index, the spatial and temporal differences of economic elasticity of 13 cities in Jiangsu Province from 2006 to 2021 are analyzed. Finally, exploratory spatial data analysis and spatial convergence models are applied to investigate the spatial correlation and convergence of urban economic resilience. The results show an upward trend in the economic resilience of the cities in Jiangsu Province, but with significant regional differences and agglomeration. A downward trend in the level of economic resilience is observed from Southern Jiangsu to Northern Jiangsu. The spatial convergence model suggests that the economic resilience growth of cities will gradually converge to the same stable level, and the regional differences have a trend of reduction. In the future, the Jiangsu region needs to strengthen regional cooperation, enhance the role of the central city to drive, and continuously improve the economic resilience of the city to promote high-quality economic development.
C1 [Ma, Xin; Jia, Fen] Nanjing Forestry Univ, Coll Civil Engn, Nanjing 210037, Peoples R China.
C3 Nanjing Forestry University
RP Ma, X (corresponding author), Nanjing Forestry Univ, Coll Civil Engn, Nanjing 210037, Peoples R China.
EM maxinnjfu@outlook.com; jiafen@njfu.edu.cn
FU Jiangsu University Philosophy and Social Science Research Project; 
   [2018SJA0134]
FX This research was funded by the Jiangsu University Philosophy and Social
   Science Research Project, Grant No. 2018SJA0134.
CR Agency X.N, HOLD HIGH GREAT BANN
   Agency X.N, The Outline of the 14th Five-Year Plan (2021-2025) for National Economic and Social Development and the Long-Range Objectives Through the Year 2035
   Auwalu F.K., 2023, Journal of Contemporary Urban Affairs, V7, P175, DOI [10.25034/ijcua.2023.v7n1-12, DOI 10.25034/IJCUA.2023.V7N1-12]
   Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Bruneckiene J, 2018, INZ EKON, V29, P405, DOI 10.5755/j01.ee.29.4.18731
   Cao FF, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110643
   Chacon-Hurtado D, 2020, J TRANSP GEOGR, V84, DOI 10.1016/j.jtrangeo.2020.102695
   Chen Q, 2023, ECOL INDIC, V151, DOI 10.1016/j.ecolind.2023.110331
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   Cui P, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19169993
   Cui P, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070901
   Cui YZ, 2021, ATMOS POLLUT RES, V12, P89, DOI 10.1016/j.apr.2021.02.003
   Cui ZZ, 2023, J RURAL STUD, V99, P92, DOI 10.1016/j.jrurstud.2023.03.007
   Das S, 2020, AMBIO, V49, P950, DOI 10.1007/s13280-019-01241-7
   Das S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155932
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   Dinh H, 2017, SOC INDIC RES, V132, P1217, DOI 10.1007/s11205-016-1337-y
   Fan JH, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18115827
   Fang CL, 2016, J GEOGR SCI, V26, P153, DOI 10.1007/s11442-016-1260-9
   Feng Y, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104273
   Han S, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107145
   Han X, 2023, FINANC RES LETT, V58, DOI 10.1016/j.frl.2023.104221
   He D, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.987396
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Huang J, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1109857
   Huo J, 2023, RESOUR POLICY, V86, DOI 10.1016/j.resourpol.2023.104049
   Javadpoor M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102609
   Lai SH, 2022, HUM ECOL RISK ASSESS, V28, P734, DOI 10.1080/10807039.2022.2081835
   Laino E, 2023, RENEW SUST ENERG REV, V184, DOI 10.1016/j.rser.2023.113587
   Li LG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030723
   Liu LN, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107186
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   Liu Y, 2023, LAND-BASEL, V12, DOI 10.3390/land12071453
   Luo HY, 2023, SYSTEMS-BASEL, V11, DOI 10.3390/systems11020054
   Ma XF, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052899
   Miao C, 2025, INT J ENVIRON SCI TE, V22, P4187, DOI 10.1007/s13762-024-05880-6
   Ministry of Emergency Management of People's Republic of China, Basic Information on Natural Disasters in the Country in 2023
   Moradi A, 2021, INT J ENVIRON SCI TE, V18, P2441, DOI 10.1007/s13762-021-03377-0
   Opach T, 2020, NORSK GEOGR TIDSSKR, V74, P181, DOI 10.1080/00291951.2020.1753236
   Oprea F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104228
   Scherzer S, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101107
   Schuster-Olbrich JP, 2024, CITIES, V153, DOI 10.1016/j.cities.2024.105305
   Sensier M, 2016, SPAT ECON ANAL, V11, P128, DOI 10.1080/17421772.2016.1129435
   Serbanica C, 2023, CITIES, V134, DOI 10.1016/j.cities.2022.104177
   Shamsuddin S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152215907
   Shao HL, 2024, J KNOWL ECON, DOI 10.1007/s13132-023-01730-x
   Sun J, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105058
   Tan JT, 2017, CHINESE GEOGR SCI, V27, P471, DOI 10.1007/s11769-017-0878-6
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Wang D, 2020, RESOUR POLICY, V68, DOI 10.1016/j.resourpol.2020.101794
   Wang ZQ, 2022, J ENVIRON MANAGE, V315, DOI 10.1016/j.jenvman.2022.115170
   White MP, 2023, ENVIRON INT, V181, DOI 10.1016/j.envint.2023.108234
   Xie WL, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101461
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang XD, 2024, SUSTAIN CITIES SOC, V103, DOI 10.1016/j.scs.2024.105270
   Ye CS, 2022, GEOGR SUSTAIN, V3, P299, DOI 10.1016/j.geosus.2022.09.004
   Yu SY, 2023, HABITAT INT, V136, DOI 10.1016/j.habitatint.2023.102783
   Zakaria NH, 2023, INT J SUSTAIN CONSTR, V14, P145, DOI 10.30880/ijscet.2023.14.05.011
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhao ML, 2023, J HAZARD MATER, V446, DOI 10.1016/j.jhazmat.2022.130613
   Zhu SY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109959
NR 62
TC 0
Z9 0
U1 30
U2 30
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 21
AR 9440
DI 10.3390/su16219440
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 L6V8M
UT WOS:001352082300001
OA gold
DA 2025-04-22
ER

PT J
AU Feng, YH
   Wang, J
   Zhang, TL
AF Feng, Yahong
   Wang, Jie
   Zhang, Tianlun
TI The Impact of Smart City Policies on City Resilience: An Evaluation of
   282 Chinese Cities
SO SUSTAINABILITY
LA English
DT Article
DE smart city; urban resilience; industrial structure upgrading;
   multiperiod double difference
AB This study uses four dimensions, namely social resilience, economic resilience, infrastructure resilience, and ecological resilience, to construct an index system for urban resilience. The subject data came from the panel data of 282 prefecture-level cities in China from 2006 to 2020. We selected a multiperiod double-difference model to study the effects of smart city pilot policies on macro-urban resilience. By conducting parallel-trend tests and selecting appropriate robustness tests, this study drew the following relevant conclusion: smart city pilot policies can have a positive effect on the urban resilience level. These policies exert their influence by facilitating industrial structure upgrading, which plays a partial mediating role. Considering different city area distributions and city scales, smart city pilot policies can have significant heterogeneity in their enhancement of urban resilience. The effect is pronounced in the "east > central > west" states and is more likely to have a significant impact on small- and medium-sized cities. Therefore, promoting the scope of smart city pilots, strengthening the intermediary role of industrial structure upgrading, and implementing differentiated policies for different regions and city sizes are important for sustainable urban development.
C1 [Feng, Yahong; Wang, Jie] Xian Univ Sci & Technol, Sch Management, Xian 710054, Peoples R China.
   [Zhang, Tianlun] Xi An Jiao Tong Univ, Sch Publ Policy & Management, Xian 710049, Peoples R China.
C3 Xi'an University of Science & Technology; Xi'an Jiaotong University
RP Zhang, TL (corresponding author), Xi An Jiao Tong Univ, Sch Publ Policy & Management, Xian 710049, Peoples R China.
EM zhangtianlun985@163.com
CR Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Chang XF, 2024, PLOS ONE, V19, DOI 10.1371/journal.pone.0300788
   Cheng H., 2019, Stat. Decis. Mak, V35, P79
   Du TLT, 2018, INT J WATER RESOUR D, V34, P597, DOI 10.1080/07900627.2018.1438886
   Feofilovs M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102328
   Fischer K, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061800
   Herrmann-Lunecke MG, 2020, DISASTERS, V44, P103, DOI 10.1111/disa.12369
   He W, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1042264
   Hemmati M, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001382
   Hill Edward., 2008, EXPLORING REGIONAL E
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   [胡雨晨 Hu Yuchen], 2024, [城市发展研究, Urban Studies], V31, P35
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huang H., 2024, J. Beijing Adm. Coll, V2, P1
   Jiang NN, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107298
   Jiang Y., 2021, Shanghai Urban Plan, V2, P76
   Joerin J., 2010, Emerald, V5, P327
   Kim NY, 2024, NAT HAZARDS REV, V25, DOI 10.1061/NHREFO.NHENG-1906
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Li N., 2023, Stat. Decis. Mak, V39, P117
   Li Q., 2024, J. Manag, V21, P1173
   MONTJOY RS, 1979, PUBLIC ADMIN REV, V39, P465, DOI 10.2307/3109921
   Moraci F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030755
   Reynolds HL, 2022, FRONT ECOL ENVIRON, V20, P231, DOI 10.1002/fee.2446
   Sajjad M, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102850
   Shan SQ, 2023, NAT HAZARDS, V118, P377, DOI 10.1007/s11069-023-06010-0
   Sharma M, 2023, NAT HAZARDS REV, V24, DOI 10.1061/NHREFO.NHENG-1523
   Shi YF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15129250
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Wolff H, 2014, ECON J, V124, pF481, DOI 10.1111/ecoj.12091
   Xia H., 2024, Econ. Manag. Res, V45, P103
   You XT, 2022, NAT HAZARDS, V113, P1751, DOI 10.1007/s11069-022-05368-x
   Yu JZ, 2024, SUSTAIN CITIES SOC, V114, DOI 10.1016/j.scs.2024.105735
   Yuan M, 2024, J ASIAN PUBLIC POLIC, DOI 10.1080/17516234.2024.2363085
   Zhai G., 2024, J. Urban Plan, V1, P29
   Zhai W, 2024, NAT HAZARDS, V120, P701, DOI 10.1007/s11069-023-06206-4
   [张明斗 Zhang Mingdou], 2019, [城市发展研究, Urban Studies], V26, P82
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zhang Z., 2024, Public Adm. Policy Rev, V13, P26
   Zhou Q., 2020, Soil. Water Conserv. Res, V27, P286
   Zhu Z., 2024, Public Adm. Policy Rev, V13, P138
NR 44
TC 0
Z9 0
U1 71
U2 71
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2024
VL 16
IS 19
AR 8669
DI 10.3390/su16198669
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 J1J8O
UT WOS:001334712500001
OA gold
DA 2025-04-22
ER

PT J
AU Mai, X
AF Mai, Xin
TI Urban resilience: is it old wine in a new bottle?
SO GEOGRAPHY
LA English
DT Article
ID REGIONAL RESILIENCE; ECONOMIC RESILIENCE; RECESSION; CRISIS;
   ENTREPRENEURSHIP; COMPETITIVENESS; COMMUNITY; EUROPE
AB This article discusses the concept of resilience and its theoretical contributions to urban geography. After a review of the evolution of resilience in studies of engineering, ecology and social sciences, the article outlines the potential contributions of resilience with regard to related concepts such as stability, competitiveness and sustainability. It highlights that resilience thinking challenges the conventional mentality of planning and recognises the ubiquity of change and potential for novelty for the reconfiguration of urban spaces. By revealing how particular cities or regions have responded to challenges, and how such challenges have reshaped and impacted upon the long-term development of that place, this article argues the potential of resilience to become integral to development studies and geographical research. Resilience studies pay greater attention to local-specific factors that enable places to deal with uncertainties, risks and unpredictable shocks. Brief insights into examples of urban resilience remind us of the necessity of accommodating turbulence and the role of place and context in better understanding urban resilience.
C1 [Mai, Xin] South China Normal Univ, Sch Geog, Guangzhou, Peoples R China.
C3 South China Normal University
RP Mai, X (corresponding author), South China Normal Univ, Sch Geog, Guangzhou, Peoples R China.
EM maixin@m.scnu.edu.cn
RI MAI, XIN/ACG-0749-2022
FU China Postdoctoral Science Foundation [2019M652933]
FX This research was funded by the China Postdoctoral Science Foundation
   Grant (2019M652933).
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Andres L, 2015, CITIES, V45, P1, DOI 10.1016/j.cities.2015.02.003
   [Anonymous], 2012, NY TIMES
   Bailey D, 2014, REG STUD, V48, P1797, DOI 10.1080/00343404.2014.893056
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Bliss Laura., 2019, BLOOMBERG CITYLAB
   Bn C., 2012, IDS WORKING PAPERS, V2012, P1, DOI [DOI 10.1111/J.2040-0209.2012.00405.X, 10.1111/J.2040-0209.2012.00405.X]
   Boschma RA, 2006, J ECON GEOGR, V6, P273, DOI 10.1093/jeg/lbi022
   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
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   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
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   Cuadrado-Roura JR, 2016, CAMB J REG ECON SOC, V9, P3, DOI 10.1093/cjres/rsv036
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Davies S, 2011, CAMB J REG ECON SOC, V4, P369, DOI 10.1093/cjres/rsr019
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Diodato D, 2015, J ECON GEOGR, V15, P723, DOI 10.1093/jeg/lbu030
   Doran J, 2016, REG STUD, V50, P644, DOI 10.1080/00343404.2015.1088642
   Dubé J, 2016, REG STUD, V50, P615, DOI 10.1080/00343404.2015.1020291
   Groot SPT, 2011, CAMB J REG ECON SOC, V4, P437, DOI 10.1093/cjres/rsr024
   Hall P. A., 2013, Social Resilience in the Neoliberal Era
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huggins R, 2015, CAMB J REG ECON SOC, V8, P313, DOI 10.1093/cjres/rsu035
   Kitson M, 2004, REG STUD, V38, P991, DOI 10.1080/0034340042000320816
   Kresl PK, 1999, URBAN STUD, V36, P1017, DOI 10.1080/0042098993330
   Kwok AH, 2016, INT J DISAST RISK RE, V19, P197, DOI 10.1016/j.ijdrr.2016.08.013
   Leong KJ, 2007, J AM HIST, V94, P770, DOI 10.2307/25095138
   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-Breen P., 2011, Resilience: A Literature Review Bellagio Initiative
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   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
   Raco M, 2012, URBAN STUD, V49, P1065, DOI 10.1177/0042098011415716
   Ray DM, 2017, ENVIRON PLANN A, V49, P952, DOI 10.1177/0308518X16681788
   Rockefeller Foundation, 2020, ROCKEFELLER FDN COMM
   Rutherford TD, 2014, CAMB J REG ECON SOC, V7, P359, DOI 10.1093/cjres/rsu014
   Shaw K, 2012, PLAN THEORY PRACT, V13, P308
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Swanstrom T., 2008, WORKING PAPER 2008
   Tobin G.A., 1999, ENVIRON HAZARDS-UK, V1, P13, DOI DOI 10.1016/S1464-28679900002-9
   Tompkins EL, 2004, ECOL SOC, V9
   Tubadji A, 2016, CAMB J REG ECON SOC, V9, P103, DOI 10.1093/cjres/rsv035
   Vanolo Alberto., 2015, City, Culture and Society, V6, P69, DOI DOI 10.1016/J.CCS.2015.01.003
   Vu L, 2012, J IMMIGR MINOR HEALT, V14, P386, DOI 10.1007/s10903-011-9504-3
   Williams N, 2014, ENTREP REGION DEV, V26, P257, DOI 10.1080/08985626.2014.894129
   Williams P., 2014, RES ALL C, P4
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zolli A., 2013, Resilience: Why things bounce back
NR 52
TC 0
Z9 1
U1 0
U2 10
PU GEOGRAPHICAL ASSOC
PI SHEFFIELD
PA 160 SOLLY ST, SHEFFIELD S1 4BF, S YORKSHIRE, ENGLAND
SN 0016-7487
EI 2043-6564
J9 GEOGRAPHY
JI Geography
PD FAL
PY 2020
VL 105
BP 161
EP 166
PN 3
PG 6
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA OZ2RL
UT WOS:000594779500007
DA 2025-04-22
ER

PT J
AU Zhao, B
   Fang, LH
   Zhang, JY
   Li, WY
   Tao, LX
   Yu, QY
   Wen, CH
AF Zhao, Bin
   Fang, Liuhua
   Zhang, Jianyu
   Li, Wenyu
   Tao, Lixia
   Yu, Qiuyue
   Wen, Chuanhao
TI Impact of digital finance on urban ecological resilience: evidence from
   the Yangtze River Economic Belt in China
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Digital finance; Urban ecological resilience; Yangtze River Economic
   Belt
ID INVESTMENT; EMISSIONS; WATER
AB From the emergence of the new coronavirus pandemic to extreme climatic catastrophes, the development and enhancement of urban ecological resilience has evolved into a critical and strategic imperative. Investigating the capacity of digital finance to promote urban ecological resilience bears substantial relevance to the sustainable advancement of urban centers. This study examines the influence of digital finance on urban ecological resilience by applying a benchmark regression model on data from 107 prefecture-level cities within the Yangtze River Economic Belt across 2011-2020. Additionally, this study delves into its mechanism and spatial spillover impacts via a mediating effect model and a spatial effect model. The findings revealed that (1) digital finance strengthens the ecological resilience of the locale and beneficially impacts the surrounding regions; (2) digital finance enhances urban ecological resilience by fostering technological innovation and reducing energy intensity; and (3) in the lower reaches of the Yangtze River, digital finance plays a greater role in improving urban ecological resilience. Cities with high level of traditional financial development, high level of economic development and high intensity of environmental regulation have a more obvious role in promoting urban ecological resilience. Within the paradigm of ecological civilization, it is advisable for governmental bodies to fortify inter-regional digital financial collaboration, refine the green financial infrastructure, and advocate for sustainable, low-carbon, high-quality urban development.
C1 [Zhao, Bin; Fang, Liuhua; Zhang, Jianyu; Li, Wenyu; Tao, Lixia; Yu, Qiuyue] Chongqing Technol & Business Univ, Res Ctr Econ Upper Reaches Yangtze River, Chongqing 400067, Peoples R China.
   [Wen, Chuanhao] Yunnan Univ, Sch Econ, Kunming 650091, Yunnan, Peoples R China.
C3 Chongqing Technology & Business University; Yunnan University
RP Wen, CH (corresponding author), Yunnan Univ, Sch Econ, Kunming 650091, Yunnan, Peoples R China.
EM zb18723205512@163.com; 2021351007@email.ctbu.edu.cn;
   2021351026@email.ctbu.edu.cn; liwenyu11799@163.com; 18323914239@163.com;
   2019601011@email.ctbu.edu.cn; chhwen1972@ynu.edu.cn
RI Zhang, Jianyu/HJA-5892-2022; LI, Wendy/GQQ-0047-2022
FU the Key Program of the National Social Science Fund of China
FX No Statement Available
CR Afriyanie D, 2018, IOP C SER EARTH ENV, V145, DOI 10.1088/1755-1315/145/1/012120
   Ahmad M, 2023, J CLEAN PROD, V418, DOI 10.1016/j.jclepro.2023.138000
   Arfanuzzaman M, 2017, GLOB ECOL CONSERV, V10, P9, DOI 10.1016/j.gecco.2017.01.005
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Beck T, 2010, J FINANC, V65, P1637, DOI 10.1111/j.1540-6261.2010.01589.x
   Cabell JF, 2012, ECOL SOC, V17, DOI 10.5751/ES-04666-170118
   Cao SP, 2021, J CLEAN PROD, V327, DOI 10.1016/j.jclepro.2021.129458
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   Chaffin BC, 2018, GEOMORPHOLOGY, V305, P221, DOI 10.1016/j.geomorph.2017.09.038
   Chen YT, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.885976
   Chu HM, 2023, ENVIRON SCI POLLUT R, V30, P49237, DOI 10.1007/s11356-023-25659-5
   Craven D, 2016, DIVERS DISTRIB, V22, P505, DOI 10.1111/ddi.12423
   Duo LH, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.902444
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fu ZT, 2023, ENVIRON SCI POLLUT R, V30, P2813, DOI 10.1007/s11356-022-22320-5
   Gao M, 2023, ENERG POLICY, V175, DOI 10.1016/j.enpol.2023.113494
   Gao YQ, 2022, SINGAP ECON REV, DOI 10.1142/S0217590822500618
   Garmestani AS, 2013, Ecol Soc, V18
   Guo XX, 2024, ENVIRON SCI POLLUT R, V31, P10106, DOI 10.1007/s11356-023-25220-4
   Hatcher KL, 2013, ATMOS OCEAN, V51, P436, DOI 10.1080/07055900.2013.808167
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu ZY, 2023, ENVIRON SCI POLLUT R, V30, P65746, DOI 10.1007/s11356-023-27031-z
   Jagtiani J, 2018, J ECON BUS, V100, P43, DOI 10.1016/j.jeconbus.2018.03.001
   Jiang YL, 2022, ENVIRON SCI POLLUT R, V29, P71047, DOI 10.1007/s11356-022-20803-z
   Jin W, 2023, ENVIRON SCI POLLUT R, V30, P352, DOI 10.1007/s11356-022-22120-x
   Jorgenson AK, 2007, ORGAN ENVIRON, V20, P137, DOI 10.1177/1086026607302153
   Kliem L, 2024, ENVIRON DEV SUSTAIN, V26, P5367, DOI 10.1007/s10668-022-02844-z
   Kombiadou K, 2020, CATENA, V194, DOI 10.1016/j.catena.2020.104755
   Lee CC, 2024, ENERG ENVIRON-UK, V35, P23, DOI 10.1177/0958305X221124225
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   LeSage J, 2009, STAT TEXTB MONOGR, P1
   Li GZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110667
   Li JR, 2022, REV DEV ECON, V26, P1010, DOI 10.1111/rode.12846
   Lin AJ, 2022, CHINA ECON REV, V75, DOI 10.1016/j.chieco.2022.101846
   Liu JM, 2022, ENVIRON SCI POLLUT R, V29, P35828, DOI 10.1007/s11356-022-18667-4
   Liu YZ, 2019, AM ECON J-ECON POLIC, V11, P261, DOI 10.1257/pol.20170478
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mehaffy MW, 2019, URBAN PLAN, V4, P134, DOI 10.17645/up.v4i2.2293
   Meng FS, 2022, ENVIRON SCI POLLUT R, V29, P89498, DOI 10.1007/s11356-022-22072-2
   Pu ZN, 2022, STRUCT CHANGE ECON D, V63, P515, DOI 10.1016/j.strueco.2022.07.006
   Qin XD, 2022, CHINA ECON REV, V76, DOI 10.1016/j.chieco.2022.101872
   Salamatnia Arezoo, 2021, Arabian Journal of Geosciences, V14, DOI 10.1007/s12517-020-06355-x
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Siqin ZY, 2022, ENVIRON SCI POLLUT R, V29, P34528, DOI 10.1007/s11356-021-17373-x
   Sun B, 2023, J ENVIRON MANAGE, V327, DOI 10.1016/j.jenvman.2022.116832
   Talubo J.P., 2022, Environmental Challenges, V7, P100511, DOI [DOI 10.1016/J.ENVC.2022.100511, 10.1016/j.envc.2022.100511]
   Tamazian A, 2009, ENERG POLICY, V37, P246, DOI 10.1016/j.enpol.2008.08.025
   Tang Y, 2023, ENVIRON SCI POLLUT R, V30, P41299, DOI 10.1007/s11356-023-25155-w
   [陶洁怡 Tao Jieyi], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1975
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Tong YJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15064828
   Walker B, 2004, ECOL SOC, V9
   Wan JY, 2023, ENVIRON SCI POLLUT R, V30, P42923, DOI 10.1007/s11356-021-18465-4
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   [王松茂 Wang Songmao], 2022, [经济地理, Economic Geography], V42, P51
   Wang WW, 2023, RESOUR POLICY, V80, DOI 10.1016/j.resourpol.2022.103201
   Wang YP, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.1056478
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   Wang ZR, 2022, APPL ECON LETT, V29, P555, DOI 10.1080/13504851.2021.1875118
   Wen HW, 2022, UTIL POLICY, V79, DOI 10.1016/j.jup.2022.101414
   Wu XL, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106243
   Xiao YZ, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.922208
   Xie XL, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065462
   Yandell B.S., 1990, J. Am. Stat. Assoc., V85, P905, DOI [10.2307/2290042, DOI 10.2307/2290042]
   Yang CY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811250
   Yang GQ, 2023, ENVIRON SCI POLLUT R, V30, P38832, DOI 10.1007/s11356-022-24748-1
   Yang L, 2022, ENVIRON SCI POLLUT R, V29, P22547, DOI 10.1007/s11356-021-17030-3
   Yang YX, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102445
   Yin YK, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.973644
   Yu LL, 2020, TECHNOL SOC, V62, DOI 10.1016/j.techsoc.2020.101323
   Yuan Y, 2022, ECOL ENG, V175, DOI 10.1016/j.ecoleng.2021.106486
   Zhang ML, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156463
   Zhang Y, 2020, PHYS CHEM EARTH, V120, DOI 10.1016/j.pce.2020.102894
   Zhang YJ, 2011, ENERG POLICY, V39, P2197, DOI 10.1016/j.enpol.2011.02.026
   Zhao JH, 2022, DISCRETE DYN NAT SOC, V2022, DOI 10.1155/2022/3813474
   Zhu S., 2022, SHS Web of Conferences, V151, P01030
NR 76
TC 8
Z9 8
U1 49
U2 148
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 FEB
PY 2024
VL 31
IS 6
BP 9218
EP 9236
DI 10.1007/s11356-023-31431-6
PG 19
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GF4W0
UT WOS:001151247100079
PM 38190063
DA 2025-04-22
ER

PT J
AU Therrien, MC
   Usher, S
   Matyas, D
AF Therrien, Marie-Christine
   Usher, Susan
   Matyas, David
TI Enabling strategies and impeding factors to urban resilience
   implementation: A scoping review
SO JOURNAL OF CONTINGENCIES AND CRISIS MANAGEMENT
LA English
DT Review
DE enabling strategies; impeding factors; implementation; trade-offs; Urban
   resilience
ID DISASTER RISK REDUCTION; CLIMATE-CHANGE ADAPTATION; LOCAL-GOVERNMENT;
   COMMUNITY RESILIENCE; EMERGENCY MANAGEMENT; HURRICANE-KATRINA; BUILT
   ENVIRONMENT; SOCIAL RESILIENCE; ADAPTIVE CAPACITY; WATER MANAGEMENT
AB Despite growing interest in urban resilience, there is a significant gap between discourse and the capacity to develop resilience in practice. This scoping review assembles and shares evidence and insights from empirical studies of attempts to implement urban resilience published between 2005 and 2017. More precisely, it seeks to identify enabling strategies, impeding factors and trade-offs in the implementation of urban resilience. Findings are presented along the dimensions of urban resilience detailed in the City Resilience Framework (ARUP/Rockefeller Foundation): Health and Wellbeing, Economy and Society, Infrastructure and Environment, and Leadership and Strategy (which we present as a cross-cutting theme). While some enabling and impeding factors in implementation are associated with a specific dimension, others are common to all three. Across dimensions, we find that transparent, inclusive and supportive governance reduces the risk of negative impact that resilience implementation will have on communities. Conflicting priorities of managing risk and meeting short-term needs are found to diminish the potential for transformative resilience action. Integrating risk into planning appears as a promising strategy in all dimensions of resilience. Trade-offs are found in resilience implementation, and range from adverse effects associated with infrastructure to power imbalances when the power to implement resilience privileges one system level over another.
C1 [Therrien, Marie-Christine; Usher, Susan] Ecole Natl Adm Publ, Montreal, PQ, Canada.
   [Matyas, David] McGill Univ, Montreal, PQ, Canada.
C3 University of Quebec; Ecole National Administration Publique Canada;
   McGill University
RP Therrien, MC (corresponding author), Ecole Natl Adm Publ, Cite ID Living Lab Urban Resilience Governance, Montreal, PQ, Canada.
EM marie-christine.therrien@enap.ca; susan.usher@enap.ca;
   david.matyas@mail.mcgill.ca
OI Usher, Susan/0000-0002-6772-1908
CR Akama Y, 2016, INT J DISASTER RESIL, V7, P49, DOI 10.1108/IJDRBE-08-2013-0034
   Alhmoudi AA, 2016, INT J DISASTER RESIL, V7, P361, DOI 10.1108/IJDRBE-08-2015-0040
   Allan P, 2013, J URBAN DES, V18, P242, DOI 10.1080/13574809.2013.772881
   Altenburg C, 2012, RES URBAN SOCIOL, V12, P3, DOI 10.1108/S1047-0042(2012)0000012004
   Amaratunga C.A., 2014, International Journal of Disaster Resilience in the Built Environment, V5, P66, DOI DOI 10.1108/IJDRBE-05-2012-0012
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], EARTH SCI FACULTY SC
   [Anonymous], HDB KRISENMANAGEMENT
   [Anonymous], C CIT FUT MADR
   [Anonymous], RISQ EM 21 SIECL VER
   [Anonymous], EM NA FRAM CAN 2 ED
   [Anonymous], GEOPH RES ABSTR
   [Anonymous], POL QUEB SEC CIV 201
   [Anonymous], URBAN FORM FITNESS S
   [Anonymous], URBAN RESILIENCE RIS
   [Anonymous], IMPLEMENTING U UNPUB
   [Anonymous], 2007, ASSESSING RESILIENCE
   [Anonymous], 2015, Sendai Framework for disaster risk reduction 2015 -2030
   [Anonymous], LOCAL DISASTER RESIL
   [Anonymous], HIGH RELIABILITY MAN
   [Anonymous], URBAN RISK REDUCTION
   [Anonymous], CIT RES IND UND MEAS
   [Anonymous], 31 EGOS C ORG EX LIF
   [Anonymous], CLIMATE CHANGE DISAS
   Attolico A, 2014, PROC ECON FINANC, V18, P528, DOI 10.1016/S2212-5671(14)00972-1
   Bahadur AV, 2014, URBAN CLIM, V7, P20, DOI 10.1016/j.uclim.2013.08.004
   Bahadur AV, 2013, CLIM DEV, V5, P55, DOI 10.1080/17565529.2012.762334
   Bailey E, 2014, J PLACE MANAG DEV, V7, P27, DOI 10.1108/JPMD-04-2013-0010
   Bakker K, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2013.0116
   Barroca B, 2015, NAT HAZARD EARTH SYS, V15, P25, DOI 10.5194/nhess-15-25-2015
   Bassett M, 2017, DISASTER PREV MANAG, V26, P94, DOI 10.1108/DPM-03-2016-0054
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Beretta I, 2012, RES URBAN SOCIOL, V12, P105, DOI 10.1108/S1047-0042(2012)0000012008
   Berke PR, 2006, ANN AM ACAD POLIT SS, V604, P192, DOI 10.1177/0002716205285533
   Berno T, 2017, J ENTERP COMMUNITIES, V11, P149, DOI 10.1108/JEC-01-2015-0013
   Birkland T, 2008, PUBLIUS J FEDERALISM, V38, P692, DOI 10.1093/publius/pjn020
   Bosher L, 2007, ENG CONSTR ARCHIT MA, V14, P434, DOI 10.1108/09699980710780746
   Bosher L, 2009, DISASTER PREV MANAG, V18, P9, DOI 10.1108/09653560910938501
   Bourgon J., 2009, Public Policy and Administration, V24, P309, DOI DOI 10.1177/0952076709103813
   Braun BP, 2014, ENVIRON PLANN D, V32, P49, DOI 10.1068/d4313
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Brown RR, 2008, ENVIRON MANAGE, V41, P221, DOI 10.1007/s00267-007-9046-6
   Brudermann T., 2013, INNOVATION SUPPLY CH, V7, P83, DOI [10.14327/iscm.7.83, DOI 10.14327/ISCM.7.83]
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Burnside-Lawry J, 2016, INT J DISASTER RESIL, V7, P4, DOI 10.1108/IJDRBE-07-2013-0028
   Burnside-Lawry J, 2015, DISASTER PREV MANAG, V24, P80, DOI 10.1108/DPM-07-2014-0129
   Carthey J, 2009, J FACIL MANAG, V7, P36, DOI 10.1108/14725960910929556
   Caruson K, 2006, PUBLIC ADMIN REV, V66, P522, DOI 10.1111/j.1540-6210.2006.00613.x
   Cheema AR, 2016, DISASTER PREV MANAG, V25, P449, DOI 10.1108/DPM-10-2015-0243
   Chelleri L, 2015, HABITAT INT, V48, P122, DOI 10.1016/j.habitatint.2015.03.016
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chen F, 2012, FRONT PHYSIOL, V3, DOI 10.3389/fphys.2012.00412
   Chenoweth E, 2010, POLIT RES QUART, V63, P495, DOI 10.1177/1065912909334426
   Cigler BA, 2007, PUBLIC ADMIN REV, V67, P64, DOI 10.1111/j.1540-6210.2007.00814.x
   Coaffee J, 2009, TERRORISM, RISK AND THE GLOBAL CITY: TOWARDS URBAN RESILIENCE, P1
   Coaffee J., 2006, International Relations, V20, P503, DOI DOI 10.1177/0047117806069416
   Coaffee J, 2005, INT J PUBLIC SECT MA, V18, P164, DOI 10.1108/09513550510584982
   Coaffee J, 2016, J FINANC MANAG PROP, V21, P73, DOI 10.1108/JFMPC-01-2016-0003
   Coaffee J, 2013, PLAN PRACT RES, V28, P323, DOI 10.1080/02697459.2013.787693
   Coaffee J, 2013, POLITICS-OXFORD, V33, P240, DOI 10.1111/1467-9256.12011
   Coaffee J, 2010, INT AFF, V86, P939, DOI 10.1111/j.1468-2346.2010.00921.x
   Cole S., 2004, DISASTER PREV MANAG, V13, P280
   Comfort LK, 2010, PUBLIC ADMIN REV, V70, P669, DOI 10.1111/j.1540-6210.2010.02194.x
   Cousins JJ, 2017, GEOFORUM, V85, P368, DOI 10.1016/j.geoforum.2016.09.020
   Cousins JJ, 2017, ANN AM ASSOC GEOGR, V107, P1144, DOI 10.1080/24694452.2017.1293501
   Cretney RM, 2016, DISASTER PREV MANAG, V25, P27, DOI 10.1108/DPM-02-2015-0043
   Crichton D, 2007, PHILOS T R SOC A, V365, P2731, DOI 10.1098/rsta.2007.2081
   Acevedo EC, 2016, INT J CLIM CHANG STR, V8, P632, DOI 10.1108/IJCCSM-04-2015-0038
   Cuevas SC, 2016, INT J CLIM CHANG STR, V8, P418, DOI 10.1108/IJCCSM-07-2015-0091
   Cuevas SC, 2011, INT J CLIM CHANG STR, V3, P29, DOI 10.1108/17568691111107934
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Danar OR, 2014, PROC ECON FINANC, V18, P489, DOI 10.1016/S2212-5671(14)00967-8
   Darkow PM, 2019, J CONTING CRISIS MAN, V27, P145, DOI 10.1111/1468-5973.12246
   Deak J, 2011, TOWN PLAN REV, V82, P669, DOI 10.3828/tpr.2011.38
   Dias N, 2014, PROC ECON FINANC, V18, P497, DOI 10.1016/S2212-5671(14)00968-X
   Drakaki M, 2017, DISASTER PREV MANAG, V26, P203, DOI 10.1108/DPM-09-2016-0190
   Drobniak A, 2012, The Journal of Economics and Management, V10, P5
   Duit A, 2016, PUBLIC ADMIN, V94, P364, DOI 10.1111/padm.12182
   Dutta-Koehler MC, 2012, RES URBAN SOCIOL, V12, P171, DOI 10.1108/S1047-0042(2012)0000012010
   Eburn M, 2015, STUD LAW POLITICS SO, V68, P155, DOI 10.1108/S1059-433720150000068007
   Ernstson H., 2008, THESIS
   Ernstson H., 2008, Rhizomia: actors, networks and resilience in urban landscape
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Farrelly M, 2011, GLOBAL ENVIRON CHANG, V21, P721, DOI 10.1016/j.gloenvcha.2011.01.007
   Fernandez G, 2011, COMM ENV DISAST RISK, V6, P149, DOI 10.1108/S2040-7262(2011)0000006014
   Fernandez G, 2011, COMM ENV DISAST RISK, V6, P81, DOI 10.1108/S2040-7262(2011)0000006011
   Feyerherm AE, 2011, ORG SUSTAIN, V1, P127, DOI 10.1108/S2045-0605(2011)0000001010
   Finewood MH, 2016, ANTIPODE, V48, P1000, DOI 10.1111/anti.12238
   Fitzgerald J, 2017, LOCAL ENVIRON, V22, P256, DOI 10.1080/13549839.2016.1191063
   Frank A, 2016, RES RURAL SOCIOL DEV, V23, P241, DOI 10.1108/S1057-192220160000023011
   Friend R, 2014, URBAN CLIM, V7, P6, DOI 10.1016/j.uclim.2013.08.001
   Fünfgeld H, 2014, ENVIRON PLANN C, V32, P603, DOI 10.1068/c1234
   Galaz V, 2005, AMBIO, V34, P567, DOI 10.1639/0044-7447(2005)034[0567:SRASCI]2.0.CO;2
   Gallagher J, 2014, AM ECON J-APPL ECON, V6, P206, DOI 10.1257/app.6.3.206
   Garnett JL, 2007, PUBLIC ADMIN REV, V67, P171, DOI 10.1111/j.1540-6210.2007.00826.x
   Garrelts H, 2011, AMBIO, V40, P200, DOI 10.1007/s13280-010-0131-3
   Garschagen M., 2016, WORLD RISK REPORT 20
   Garschagen M, 2013, NAT HAZARDS, V67, P25, DOI 10.1007/s11069-011-9753-4
   Ginter PM, 2006, MATERN CHILD HLTH J, V10, P391, DOI 10.1007/s10995-006-0084-0
   Goldstein BE, 2015, URBAN STUD, V52, P1285, DOI 10.1177/0042098013505653
   Goodier CI, 2014, INT J ENERGY SECT MA, V8, P544, DOI 10.1108/IJESM-03-2014-0001
   Gotham KF, 2012, PERSPECT POLIT, V10, P633, DOI 10.1017/S153759271200165X
   Greenhalgh T, 2005, SOC SCI MED, V61, P417, DOI 10.1016/j.socscimed.2004.12.001
   Grove K, 2014, ENVIRON PLANN D, V32, P240, DOI 10.1068/d4813
   Guclu H, 2014, PUBLIC HEALTH REP, V129, P154, DOI 10.1177/00333549141296S420
   Gupta K., 2007, Urb. Wat. J, V4, P183, DOI DOI 10.1080/15730620701464141
   Haigh R., 2012, International Journal of Disaster Resilience in the Built Environment, V3, P270
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   Harrison P., 2014, Urban Resilience Thinking for Municipalities, DOI DOI 10.1080/1573062X.2014.991329
   Hayat E, 2014, PROC ECON FINANC, V18, P718, DOI 10.1016/S2212-5671(14)00995-2
   Henceroth J., 2015, INT J DISASTER RESIL, V6, P86, DOI [10.1108/IJDRBE-08-2014-0060, DOI 10.1108/IJDRBE-08-2014-0060]
   Hendriks F, 2014, URBAN AFF REV, V50, P553, DOI 10.1177/1078087413511782
   Henstra D, 2005, CAN PUBLIC POL, V31, P303, DOI 10.2307/3552443
   Henstra D, 2010, PUBLIC ADMIN REV, V70, P236, DOI 10.1111/j.1540-6210.2010.02130.x
   Hildreth W., 2009, Public Performance Management Review, V32, P400, DOI DOI 10.2753/PMR1530-9576320303
   Hill M, 2013, MT RES DEV, V33, P248, DOI 10.1659/MRD-JOURNAL-D-12-00106.1
   Hobor G, 2015, AM BEHAV SCI, V59, P1214, DOI 10.1177/0002764215591180
   Hope A, 2016, INT J SUST HIGHER ED, V17, P796, DOI 10.1108/IJSHE-04-2015-0079
   Horney J, 2016, INT J DISASTER RESIL, V7, P330, DOI 10.1108/IJDRBE-09-2014-0068
   Ingirige Bingunath, 2014, Structural Survey, V32, P123, DOI 10.1108/SS-01-2013-0011
   Islam MS., 2014, GLOBALIZATION DEV SE, V4, P205
   Jacobs LA, 2007, LAW SOC REV, V41, P511, DOI 10.1111/j.1540-5893.2007.00313.x
   Jamal F, 2015, QUAL RES, V15, P314, DOI 10.1177/1468794113509262
   Jigyasu Rohit., 2016, Journal of Heritage Management, V1, P59, DOI DOI 10.1177/2455929616649476
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   Kapucu N., 2007, DISASTER PREV MANAG, V16, P551, DOI DOI 10.1108/09653560710817039
   Karanth A, 2014, DEV PRACT, V24, P514, DOI 10.1080/09614524.2014.911246
   Kehinde B, 2014, PROC ECON FINANC, V18, P710, DOI 10.1016/S2212-5671(14)00994-0
   Kelman I, 2017, DISASTER PREV MANAG, V26, P254, DOI 10.1108/DPM-02-2017-0043
   Kenney C, 2014, PROC ECON FINANC, V18, P754, DOI 10.1016/S2212-5671(14)00999-X
   Kirchhoff CJ, 2013, ENVIRON SCI POLICY, V26, P6, DOI 10.1016/j.envsci.2012.07.001
   Komendantova N, 2016, INT J DISASTER RESIL, V7, P114, DOI 10.1108/IJDRBE-03-2015-0013
   Kunreuther H, 2006, ANN AM ACAD POLIT SS, V604, P208, DOI 10.1177/0002716205285685
   L'Heureux AV, 2013, J CONTING CRISIS MAN, V21, P211, DOI 10.1111/1468-5973.12030
   Lawrence T. B., 2006, The SAGE handbook of organization studies, P215, DOI [10.4135/9781848608030.n7, DOI 10.4135/9781848608030.N7]
   Leinhos M, 2014, PUBLIC HEALTH REP, V129, P8, DOI 10.1177/00333549141296S403
   Liu M, 2016, DISASTER PREV MANAG, V25, P685, DOI 10.1108/DPM-01-2016-0006
   Lizarralde G, 2015, INVISIBLE HOUSES: RETHINKING AND DESIGNING LOW-COST HOUSING IN DEVELOPING COUNTRIES, P1
   Lizarralde G, 2015, DISASTERS, V39, pS76, DOI 10.1111/disa.12109
   Ludin SM, 2017, DISASTER PREV MANAG, V26, P13, DOI 10.1108/DPM-08-2016-0177
   MacAskill K, 2016, INT J DISASTER RESIL, V7, P318, DOI 10.1108/IJDRBE-05-2015-0030
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Malalgoda C., 2013, International Journal of Disaster Resilience in the Built Environment, V4, P72, DOI [10.1108/17595901311299017, DOI 10.1108/17595901311299017]
   Malalgoda C., 2015, International Journal of Disaster Resilience in the Built Environment, V6, P102, DOI DOI 10.1108/IJDRBE-10-2014-0071
   Malalgoda C, 2016, DISASTER PREV MANAG, V25, P628, DOI 10.1108/DPM-11-2015-0260
   Malalgoda C, 2014, PROC ECON FINANC, V18, P736, DOI 10.1016/S2212-5671(14)00997-6
   Martins RD, 2011, MANAG ENVIRON QUAL, V22, P344, DOI 10.1108/14777831111122914
   Masys AJ, 2014, PROC ECON FINANC, V18, P772, DOI 10.1016/S2212-5671(14)01001-6
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McGuinness M, 2014, PROC ECON FINANC, V18, P447, DOI 10.1016/S2212-5671(14)00962-9
   McPhearson T, 2014, AMBIO, V43, P502, DOI 10.1007/s13280-014-0509-8
   Medd W., 2005, J CONTING CRISIS MAN, V13, P44, DOI DOI 10.1111/J.1468-5973.2005.00455.X
   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
   Mirfenderesk H, 2009, INT J CLIM CHANG STR, V1, P146, DOI 10.1108/17568690910955612
   Mojtahedi SMH, 2014, PROC ECON FINANC, V18, P95, DOI 10.1016/S2212-5671(14)00918-6
   Molin ValdesH., 2013, INT J DISASTER RESIL, V4, P43, DOI DOI 10.1108/17595901311298991
   Motta M, 2014, PROC ECON FINANC, V18, P128, DOI 10.1016/S2212-5671(14)00922-8
   Moynihan DP, 2009, J PUBL ADM RES THEOR, V19, P895, DOI 10.1093/jopart/mun033
   Mullin M, 2017, URBAN AFF REV, V53, P752, DOI 10.1177/1078087416657199
   Mullins A, 2013, DISASTER PREV MANAG, V22, P119, DOI 10.1108/09653561311325271
   Nakanishi H., 2015, INT J DISASTER RESIL, V5, P341, DOI DOI 10.1108/IJDRBE-12-2012-0039
   Nigg JM, 2006, ANN AM ACAD POLIT SS, V604, P113, DOI 10.1177/0002716205285889
   Nirupama N, 2012, DISASTER PREV MANAG, V21, P599, DOI 10.1108/09653561211278725
   Noblet M, 2017, INT J CLIM CHANG STR, V9, P282, DOI 10.1108/IJCCSM-04-2016-0047
   Normandin JM, 2016, J CONTING CRISIS MAN, V24, P107, DOI 10.1111/1468-5973.12107
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2003, VULNERABILITY CITIES
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Pelling M, 2011, ECOL SOC, V16
   Peñalba LM, 2012, INT J CLIM CHANG STR, V4, P308, DOI 10.1108/17568691211248748
   Pierce JC, 2011, ENVIRON POLIT, V20, P566, DOI 10.1080/09644016.2011.589580
   Pierdet C, 2012, SOUTH EAST ASIA RES, V20, P263, DOI 10.5367/sear.2012.0108
   Plough A, 2013, AM J PUBLIC HEALTH, V103, P1190, DOI 10.2105/AJPH.2013.301268
   Prashar Sunil Kumar, 2012, International Journal of Disaster Resilience in the Built Environment, V3, P7, DOI 10.1108/17595901211201105
   Prashar S, 2013, MITIG ADAPT STRAT GL, V18, P429, DOI 10.1007/s11027-012-9368-4
   Priest SJ, 2005, AREA, V37, P295, DOI 10.1111/j.1475-4762.2005.00633.x
   Qari SH, 2014, PUBLIC HEALTH REP, V129, P1
   Rahman MM, 2014, MANAG ENVIRON QUAL, V25, P273, DOI 10.1108/MEQ-11-2013-0122
   Reed SO, 2013, ENVIRON URBAN, V25, P393, DOI 10.1177/0956247813501136
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   Roberts K.H., 1989, IND CRISIS Q, V3, P111, DOI DOI 10.1177/108602668900300202
   Román M, 2010, CORP GOV-INT J BUS S, V10, P73, DOI 10.1108/14720701011021120
   Romero H, 2016, DISASTER PREV MANAG, V25, P227, DOI 10.1108/DPM-12-2015-0292
   Fernández JR, 2012, INVESTIG GEOGR-SPAIN, P205
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P381, DOI 10.1177/0956247813500902
   Schewenius M, 2014, AMBIO, V43, P434, DOI 10.1007/s13280-014-0505-z
   Schimmel KS, 2012, INT REV SOCIOL SPORT, V47, P338, DOI 10.1177/1012690211433479
   Schmidt-Thomé P, 2007, MANAG ENVIRON QUAL, V18, P329, DOI 10.1108/14777830710731770
   Sciulli N, 2015, INT J PUBLIC SECT MA, V28, P430, DOI 10.1108/IJPSM-11-2014-0139
   Scolobig A, 2014, INT J DISAST RISK RE, V9, P124, DOI 10.1016/j.ijdrr.2014.05.003
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Sharma D, 2016, INT AREA STUD REV, V19, P90, DOI 10.1177/2233865916632942
   Siri JG, 2016, ASIA-PAC J PUBLIC HE, V28, p15S, DOI 10.1177/1010539515595694
   Smith Ian, 2013, Structural Survey, V31, P301, DOI 10.1108/SS-01-2013-0008
   Somers S, 2009, PUBLIC ADMIN REV, V69, P181, DOI 10.1111/j.1540-6210.2008.01963.x
   Sprain L., 2016, The Good Society, V25, P62, DOI [DOI 10.5325/GOODSOCIETY.25.1.0062, https://doi.org/10.5325/goodsociety.25.1.0062, 10.5325/goodsociety.25.1.0062]
   Stark A, 2014, PUBLIC ADMIN, V92, P692, DOI 10.1111/padm.12085
   Steele WE, 2010, AUST PLAN, V47, P302, DOI 10.1080/07293682.2010.526552
   Stewart GT, 2009, INT J PHYS DISTR LOG, V39, P343, DOI 10.1108/09600030910973724
   Storsjö IT, 2017, INT J PUBLIC SECT MA, V30, P342, DOI 10.1108/IJPSM-10-2016-0177
   Sunarharum T M., 2014, International Journal of Disaster Resilience in the Built Environment, V5, P230, DOI DOI 10.1108/IJDRBE-02-2014-0015
   Surjan A, 2009, DISASTER PREV MANAG, V18, P418, DOI 10.1108/09653560910984474
   Tadele F, 2009, DISASTER PREV MANAG, V18, P317, DOI 10.1108/09653560910965664
   Tanner Thomas., 2009, IDS Work. Pap, DOI 10.1111/j.2040-0209.2009.003152.x
   Tasic J, 2016, DISASTER PREV MANAG, V25, P395, DOI 10.1108/DPM-07-2015-0163
   Taylor A, 2016, INT J CLIM CHANG STR, V8, P194, DOI 10.1108/IJCCSM-03-2014-0033
   Taylor GaryD., 2007, State Local Government Review, V39, P119
   Therrien M.-C., 2010, Telescope, V16, P154
   Therrien MC, 2015, RESILIENCE-ABINGDON, V3, P18, DOI 10.1080/21693293.2014.988915
   Therrien MC, 2015, INT J DISAST RISK SC, V6, P75, DOI 10.1007/s13753-015-0044-7
   Uittenbroek CJ, 2016, INT J CLIM CHANG STR, V8, P38, DOI 10.1108/IJCCSM-06-2014-0069
   United Nations (UN), 2005, EXTR FIN REP WORLD C
   Usdin L., 2014, International Journal of Leadership in Public Services, V3, P157, DOI DOI 10.1108/IJLPS-07-2014-0010
   Valdes HM., 2013, INT J DISASTER RESIL, V4, P5, DOI [10.1108/17595901311299035, DOI 10.1108/17595901311299035]
   Vallance S., 2012, URBAN RESILIENCE BOU
   Vandergert P, 2016, INT J URBAN SUSTAIN, V8, P126, DOI 10.1080/19463138.2015.1102726
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Wagner JR, 2009, J ENTERP COMMUNITIES, V3, P378, DOI 10.1108/17506200910999129
   Wamsler C, 2011, HOUSING STUD, V26, P197, DOI 10.1080/02673037.2011.542087
   Whittle R., 2010, After the Rain - learning the lessons from flood recovery in Hull. Final project report for "Flood
   Wilby RL, 2012, PROG PHYS GEOG, V36, P348, DOI 10.1177/0309133312438908
   Wilkinson C, 2012, PLAN THEORY PRACT, V13, P319
   Wutich A, 2009, HUM ECOL, V37, P179, DOI 10.1007/s10745-009-9227-4
   You CM, 2009, J PUBLIC HEALTH POL, V30, P379, DOI 10.1057/jphp.2009.30
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
NR 229
TC 32
Z9 36
U1 8
U2 94
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 2020
VL 28
IS 1
BP 83
EP 102
DI 10.1111/1468-5973.12283
PG 20
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA KM7AN
UT WOS:000514291700008
DA 2025-04-22
ER

PT J
AU Ahern, J
AF Ahern, Jack
TI Urban landscape sustainability and resilience: the promise and
   challenges of integrating ecology with urban planning and design
SO LANDSCAPE ECOLOGY
LA English
DT Article
DE Urban sustainability; Urban resilience; Strategic planning; Urban
   biodiversity
ID CONSERVATION; BIODIVERSITY; SCIENCE
AB The twenty-first century global population will be increasingly urban-focusing the sustainability challenge on cities and raising new challenges to address urban resilience capacity. Landscape ecologists are poised to contribute to this challenge in a transdisciplinary mode in which science and research are integrated with planning policies and design applications. Five strategies to build resilience capacity and transdisciplinary collaboration are proposed: biodiversity; urban ecological networks and connectivity; multifunctionality; redundancy and modularization, adaptive design. Key research questions for landscape ecologists, planners and designers are posed to advance the development of knowledge in an adaptive mode.
C1 Univ Massachusetts, Amherst, MA 01003 USA.
C3 University of Massachusetts System; University of Massachusetts Amherst
RP Ahern, J (corresponding author), Univ Massachusetts, Amherst, MA 01003 USA.
EM jfa@ipo.umass.edu
RI Ahern, Jack/JUV-2655-2023
CR Adams W.M., 2006, Report of the IUCN Renowned Thinkers Meeting
   Ahern J., 2006, BIODIVERSITY PLANNIN
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Aminzadeh Behnaz, 2010, Urban Ecosystems, V13, P23, DOI 10.1007/s11252-009-0101-3
   [Anonymous], URBAN BIODIVERSITY D
   [Anonymous], 1995, LAND MOSAICS
   [Anonymous], LANDSCAPE URBANISM R
   [Anonymous], 2006, State of the worlds cities 2006/7
   Beatley Timothy., 2000, Green Urbanism: Learning from European Cities
   Bengtsson J, 2003, AMBIO, V32, P389, DOI 10.1639/0044-7447(2003)032[0389:RRADL]2.0.CO;2
   Botkin Daniel., 1990, Discordant Harmonies: A New Ecology for the Twenty-First Century
   Bryant MM, 2006, LANDSCAPE URBAN PLAN, V76, P23, DOI 10.1016/j.landurbplan.2004.09.029
   Chivian E., 2008, Sustaining life: how human health depends on biodiversity
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Corner J., 2006, The landscape urbanism reader, P13
   Dearborn DC, 2010, CONSERV BIOL, V24, P432, DOI 10.1111/j.1523-1739.2009.01328.x
   Dramstad WencheE., 1996, LANDSCAPE ECOLOGY PR
   Felson AJ, 2005, FRONT ECOL ENVIRON, V3, P549, DOI 10.2307/3868611
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P90, DOI 10.1016/j.tree.2009.07.016
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   Gunderson L., 1999, Ecology and Society, V3, P7, DOI DOI 10.5751/ES-00089-030107
   Hellmund P.C., 2006, DESIGNING GREENWAYS
   HOLLING CS, 1978, WILEY INT SERIES APP, V3
   Ignatieva M, 2011, LANDSC ECOL ENG, V7, P17, DOI 10.1007/s11355-010-0143-y
   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]
   Kato S, 2008, J ENVIRON PLANN MAN, V51, P543, DOI 10.1080/09640560802117028
   Lister Nina-Marie., 2007, LARGE PARKS
   Lovell ST, 2009, FRONT ECOL ENVIRON, V7, P212, DOI 10.1890/070178
   MetropoleRuhr, 2010, OP SKY EMSCH LANDSC
   Musacchio LR, 2009, LANDSCAPE ECOL, V24, P993, DOI 10.1007/s10980-009-9396-y
   Nassauer JI, 2008, LANDSCAPE ECOL, V23, P633, DOI 10.1007/s10980-008-9226-7
   Naveh Z, 2001, LANDSCAPE URBAN PLAN, V57, P269, DOI 10.1016/S0169-2046(01)00209-2
   Noss R.F., 1993, Ecology of Greenways: Design and Function of Linear Conservation Areas, P43
   Opdam P, 2003, LANDSCAPE ECOL, V18, P113, DOI 10.1023/A:1024429715253
   Opdam P., 1993, Landscape ecology of a stressed environment, P147
   Otte A, 2007, LANDSCAPE ECOL, V22, P639, DOI 10.1007/s10980-007-9094-6
   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
   Potschin M, 2006, LANDSCAPE URBAN PLAN, V75, P162, DOI 10.1016/j.landurbplan.2005.03.005
   Rottle N., 2010, ECOLOGICAL DESIGN
   SOULE ME, 1991, J AM PLANN ASSOC, V57, P313, DOI 10.1080/01944369108975502
   Sukopp H, 2003, URBAN HABITATS, V1, P66, DOI DOI 10.1007/978-94-007-5341-9
   Taleai M, 2007, INT J APPL EARTH OBS, V9, P375, DOI 10.1016/j.jag.2006.12.002
   Tress B, 2005, LANDSCAPE URBAN PLAN, V70, P177, DOI 10.1016/j.landurbplan.2003.10.013
   Tzoulas Konstantinos, 2010, Urban Ecosystems, V13, P113, DOI 10.1007/s11252-009-0107-x
   ULTRA, 2009, URB LONG TERM RES AR
   WALKER B, 1995, CONSERV BIOL, V9, P747, DOI 10.1046/j.1523-1739.1995.09040747.x
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
NR 48
TC 403
Z9 493
U1 37
U2 757
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 JUL
PY 2013
VL 28
IS 6
BP 1203
EP 1212
DI 10.1007/s10980-012-9799-z
PG 10
WC Ecology; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA 175UZ
UT WOS:000321260400017
DA 2025-04-22
ER

PT J
AU Zhu, SY
   Li, DZ
   Feng, HB
   Zhang, N
AF Zhu, Shiyao
   Li, Dezhi
   Feng, Haibo
   Zhang, Na
TI The influencing factors and mechanisms for urban flood resilience in
   China: From the perspective of social-economic-natural complex ecosystem
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Urban flood resilience; Influencing mechanism; fuzzy-DEMATEL method;
   PSR-SENCE model
ID COMMUNITY RESILIENCE; RISK-MANAGEMENT; PSR MODEL; VULNERABILITY;
   FRAMEWORK; CITIES; METHODOLOGY; SYSTEMS; ADAPTATION; CAPACITY
AB Urban flood is one of the most frequent and deadly natural disasters in the world, seriously affecting urban sustainability and people's well-being in China. As the largest developing country in the world, China urgently needs to improve its urban flood resilience. Previous studies related to urban flood resilience are mostly focused on its assessment method and simulation. However, few studies directly aim to reveal the influencing factors of urban flood resilience and their inner relationships. In order to make a significant contribution to the long-term improvement of urban flood resilience in the context of global climate change and urbanization, it is crucial to explore the influencing mechanisms of urban flood resilience. This study aims to identify key influencing factors and their interactions on urban flood resilience in China. To this end, a conceptual framework based on Pressure -State-Response model and Social-Economic-Natural Complex Ecosystem theory (PSR-SENCE model) are estab-lished and 24 factors are identified within three dimensions. The relationships between the factors are tested using a fuzzy-DEMATEL method. The results reveal that factors in pressure and response dimensions have a greater impact on the whole system, while the factors in the state dimension are more influenced by the other two dimensions. The results identify 14 critical factors, with four detailed influence paths discussed among the different dimensions. Accordingly, the implications for improving urban flood resilience are discussed within the context of the key influencing paths. The study provides a theoretical basis and approach to directly explore how the factors influencing urban flood resilience and proposes specific impact paths and improvement implications.
C1 [Zhu, Shiyao] Nantong Univ, Sch Transportat & Civil Engn, Nantong 226001, Peoples R China.
   [Li, Dezhi] Southeast Univ, Sch Civil Engn, Nanjing 211189, Peoples R China.
   [Feng, Haibo] Univ British Columbia, Dept Wood Sci, Vancouver, BC, Canada.
   [Zhang, Na] Zhejiang Sci Tech Univ, Sch Civil Engn & Architecture, Hangzhou 310018, Peoples R China.
C3 Nantong University; Southeast University - China; University of British
   Columbia; Zhejiang Sci-Tech University
RP Li, DZ (corresponding author), Southeast Univ, Sch Civil Engn, Nanjing 211189, Peoples R China.
EM crystal.zhusy@gmail.com; njldz@seu.edu.cn; haibo.feng@ubc.ca;
   zstuzn828@zstu.edu.cn
RI ZHU, SHIYAO/GZB-0532-2022; Zhang, Na/IUN-9412-2023
OI Zhu, Shiyao/0000-0002-3738-2001; Li, Dezhi/0000-0001-7123-0493
FU National Natural Science Foundation of China [72204127]; National Social
   Science Fund of China [19BGL281]
FX Acknowledgements This project is funded by the National Natural Science
   Foundation of China (No.72204127) and National Social Science Fund of
   China (No. 19BGL281) .
CR Alabbad Y, 2022, SCI TOTAL ENVIRON, V814, DOI 10.1016/j.scitotenv.2021.152768
   Alexander M, 2016, ENVIRON SCI POLICY, V64, P38, DOI 10.1016/j.envsci.2016.06.004
   Alexandre K, 2018, GEOFORUM, V97, P66, DOI 10.1016/j.geoforum.2018.10.010
   [Anonymous], 2015, A/CONF.224/CRP.1
   Aroca-Jiménez E, 2018, J HYDROL, V565, P386, DOI 10.1016/j.jhydrol.2018.08.029
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Braun B, 2011, NAT HAZARDS, V58, P771, DOI 10.1007/s11069-011-9752-5
   Bucherie A, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102897
   Bukvic A, 2015, INT J DISAST RISK RE, V13, P215, DOI 10.1016/j.ijdrr.2015.06.008
   Chakraborty L, 2022, ENVIRON RES, V210, DOI 10.1016/j.envres.2022.112982
   Chan FKS, 2018, J CLEAN PROD, V187, P576, DOI 10.1016/j.jclepro.2018.03.217
   Chandra A, 2013, AM J PUBLIC HEALTH, V103, P1181, DOI 10.2105/AJPH.2013.301270
   Chen AB, 2022, J HYDROL, V609, DOI 10.1016/j.jhydrol.2022.127724
   Colten CE, 2009, NAT HAZARDS, V48, P355, DOI 10.1007/s11069-008-9267-x
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   Denyer D., 2009, Producing a systematic review, P671, DOI DOI 10.1080/03634528709378635
   Disse M., 2020, Water Security, V9, P54, DOI 10.1016/j.wasec.2020.100059
   Douglas I, 2010, J FLOOD RISK MANAG, V3, P112, DOI 10.1111/j.1753-318X.2010.01061.x
   Du SQ, 2019, SUSTAIN CITIES SOC, V44, P774, DOI 10.1016/j.scs.2018.11.003
   Duan Lin-sen, 2020, International Journal of Design and Nature and Ecodynamics, V15, P545, DOI 10.18280/ijdne.150412
   Dzator M., 2021, EC EFF NAT DISASTERS, P281, DOI [10.1016/b978-0-12-817465-4.00018-2, DOI 10.1016/B978-0-12-817465-4.00018-2]
   Feng CL, 2020, J CLEAN PROD, V253, DOI 10.1016/j.jclepro.2020.120002
   Fenner R, 2019, WATER-SUI, V11, DOI 10.3390/w11051082
   Ferro-Azcona H, 2019, OCEAN COAST MANAGE, V173, P36, DOI 10.1016/j.ocecoaman.2019.01.005
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forrest SA, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102843
   Gall M, 2011, SUSTAINABILITY-BASEL, V3, P2157, DOI 10.3390/su3112157
   Gawith D, 2016, J ENVIRON PLANN MAN, V59, P2102, DOI 10.1080/09640568.2015.1126241
   Gersonius B, 2012, WATER RES, V46, P6824, DOI 10.1016/j.watres.2012.03.060
   Goldbeck N, 2019, RELIAB ENG SYST SAFE, V188, P62, DOI 10.1016/j.ress.2019.03.007
   Ha'apio MO, 2019, WORLD DEV, V122, P514, DOI 10.1016/j.worlddev.2019.06.023
   Haque MM, 2022, INT J DISAST RISK RE, V72, DOI 10.1016/j.ijdrr.2022.102861
   Heinzlef C, 2019, SAFETY SCI, V118, P181, DOI 10.1016/j.ssci.2019.05.003
   Hopkins KD, 2018, CHILD ABUSE NEGLECT, V78, P85, DOI 10.1016/j.chiabu.2017.11.014
   Horn F, 2018, J HYDROL, V564, P125, DOI 10.1016/j.jhydrol.2018.07.001
   Hsieh CH, 2020, TRANSPORT POLICY, V87, P1, DOI 10.1016/j.tranpol.2018.08.010
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Hui Z, 2022, WEAR, V496, DOI 10.1016/j.wear.2022.204280
   Jiang BY, 2021, GEOFLUIDS, V2021, DOI 10.1155/2021/5520351
   Jurjonas M, 2018, OCEAN COAST MANAGE, V162, P137, DOI 10.1016/j.ocecoaman.2017.10.010
   Karim F, 2012, HYDROL PROCESS, V26, P2710, DOI 10.1002/hyp.8364
   Kashyap A., 2022, DECIS ANAL J, V5, DOI [10.1016/j.dajour.2022.100134, DOI 10.1016/J.DAJOUR.2022.100134]
   Khalili S, 2015, INT J DISAST RISK RE, V13, P248, DOI 10.1016/j.ijdrr.2015.06.009
   Khurana A, 2012, BREAST CANCER RES, V14, DOI 10.1186/bcr3140
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Lee HK, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101198
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li ZM, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101140
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu D, 2019, J CLEAN PROD, V241, DOI 10.1016/j.jclepro.2019.118406
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   Lu XZ, 2020, J SAF SCI RESIL, V1, P19, DOI 10.1016/j.jnlssr.2020.06.008
   Luthar SS, 2000, CHILD DEV, V71, P543, DOI 10.1111/1467-8624.00164
   Ma S., 1984, ACTA ECOLOGICA SINIC, V4, P1, DOI DOI 10.1016/j.chnaes.2018.07.004
   Makhoul N., 2015, IABSE C STRUCT ENG P, DOI [10.13140/RG.2.1.1790.5366, DOI 10.13140/RG.2.1.1790.5366]
   Mavi RK, 2018, J CLEAN PROD, V194, P751, DOI 10.1016/j.jclepro.2018.05.120
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mehryar S, 2022, SCI TOTAL ENVIRON, V837, DOI 10.1016/j.scitotenv.2022.155854
   Mendoza-Cano O, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16122128
   Ministry of Emergency Management of the People's Republic of China, 2021, BAS SIT NAT DIS 2021
   Nkeki FN, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103097
   Nye M, 2011, J FLOOD RISK MANAG, V4, P288, DOI 10.1111/j.1753-318X.2011.01114.x
   OECD, 2013, FRAM OECD WORK ENV D, DOI [10.1787/9789264185715-3-en, DOI 10.1787/9789264185715-3-EN]
   Orabi W, 2010, J MANAGE ENG, V26, P237, DOI 10.1061/(ASCE)ME.1943-5479.0000024
   Panigrahi GS, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102477
   Percival S, 2019, NAT HAZARDS, V97, P355, DOI 10.1007/s11069-019-03648-7
   Pérez-Morales A, 2019, WATER-SUI, V11, DOI 10.3390/w11061197
   Porio E, 2011, ASIAN J SOC SCI, V39, P425, DOI 10.1163/156853111X597260
   Putra GAY, 2019, IOP C SER EARTH ENV, V239, DOI 10.1088/1755-1315/239/1/012043
   Qi WC, 2022, J CLEAN PROD, V355, DOI 10.1016/j.jclepro.2022.131797
   Rahman MT, 2016, NAT HAZARDS, V84, P1807, DOI 10.1007/s11069-016-2521-8
   Rana IA, 2018, NAT HAZARDS, V91, P239, DOI 10.1007/s11069-017-3124-8
   Rapport D.J., 1979, COMPREHENSIVE FRAMEW, P11
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   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
   Rolf M, 2022, SCI TOTAL ENVIRON, V836, DOI 10.1016/j.scitotenv.2022.155141
   Roostaie S, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108113
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Rubinato M, 2019, WATER SCI ENG, V12, P274, DOI 10.1016/j.wse.2019.12.004
   González DS, 2016, CUAD GEOGR, V55, P85
   Santoro S, 2022, SAFETY SCI, V153, DOI 10.1016/j.ssci.2022.105791
   Saravi S, 2019, WATER-SUI, V11, DOI 10.3390/w11050973
   Saxena S, 2013, WEATHER CLIM EXTREME, V2, P48, DOI 10.1016/j.wace.2013.10.001
   Sefton C, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2021.100390
   Seker S, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112083
   Sen MK, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125526
   Sen MK, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2020.125197
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Tai XL, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120969
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   UNISDR, 2013, GLOB ASS DIS RISK RE
   UNISDR, 2005, Encycl. Earth Sci. Ser., DOI [10.1017/CBO9781107415324.004, 10.1007/978-1-4020-4399-4180, DOI 10.1017/CBO9781107415324.004]
   Vishwakarma A, 2022, CLEAN LOGIST SUPPL C, V5, DOI 10.1016/j.clscn.2022.100073
   Wang CL, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16010029
   Wang DL, 2020, RESOUR POLICY, V67, DOI 10.1016/j.resourpol.2020.101682
   Wang Q, 2019, J CLEAN PROD, V206, P171, DOI 10.1016/j.jclepro.2018.09.057
   Wang RS, 2011, ECOL COMPLEX, V8, P15, DOI 10.1016/j.ecocom.2010.11.001
   Wang YT, 2021, ECOTOXICOLOGY, V30, P622, DOI 10.1007/s10646-021-02399-1
   Winters JV, 2011, J REGIONAL SCI, V51, P253, DOI 10.1111/j.1467-9787.2010.00693.x
   Wu JR, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102968
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Xian SY, 2018, SCI TOTAL ENVIRON, V610, P1251, DOI 10.1016/j.scitotenv.2017.07.229
   Xiao Y, 2013, J AM PLANN ASSOC, V79, P148, DOI 10.1080/01944363.2013.882125
   Xu CB, 2020, ENERG POLICY, V142, DOI 10.1016/j.enpol.2020.111495
   Yan BW, 2022, J HYDROL, V610, DOI 10.1016/j.jhydrol.2022.127979
   Yang YY, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126470
   [袁朋伟 Yuan Pengwei], 2014, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V14, P110
   ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X
   Zahura FT, 2022, J HYDROL-REG STUD, V41, DOI 10.1016/j.ejrh.2022.101087
   Zare N, 2018, INT J DISAST RISK RE, V28, P298, DOI 10.1016/j.ijdrr.2018.03.003
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang L, 2019, J CLEAN PROD, V226, P949, DOI 10.1016/j.jclepro.2019.04.067
   Zhang N, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102439
   Zhang ZX, 2023, EXPERT SYST APPL, V213, DOI 10.1016/j.eswa.2022.118925
   Zhao HS, 2021, IEEE ACCESS, V9, P76423, DOI 10.1109/ACCESS.2021.3081142
   Zhu SY, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102355
   Zhu SY, 2020, HABITAT INT, V103, DOI 10.1016/j.habitatint.2020.102232
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 119
TC 56
Z9 57
U1 105
U2 416
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD MAR
PY 2023
VL 147
AR 109959
DI 10.1016/j.ecolind.2023.109959
EA JAN 2023
PG 14
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 8P9RV
UT WOS:000926854400001
OA gold
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Shao, YW
   Sun, Y
   Zheng, ZR
AF Shao, Yiwen
   Sun, Yao
   Zheng, Zhiru
TI How Do Comprehensive Territorial Plans Frame Resilience? A Content
   Analysis of Plans by Major Cities in China
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; territorial plan; planning vision; planning action
ID URBAN RESILIENCE; SUSTAINABILITY; MANAGEMENT; THINKING
AB Planning is considered one of the most important policy instruments for building resilience in urban systems. As an emerging trend, cities in China are starting to incorporate urban resilience-related statements into the new versions of their all-in-one spatial plans, known commonly as territorial plans. This research used a content analysis approach to examine resilience visions and actions in up-to-date comprehensive territorial plans prepared by major Chinese cities. The study results show that while different cities understand the concept of urban resilience in different ways, most cities devise resilience actions that fit into four categories, in descending order as follows: infrastructure and facilities, safety and security, protection and mitigation, and governance and management. This paper further argues that territorial plans in China tend to view resilience more as a synonym for structural soundness and recovery efficiency than as a prospect of broader urban change leading to overall social and economic betterment. The research contributes to explaining ongoing international resilience planning practices and helping planners make more thoughtful plans.
C1 [Shao, Yiwen; Zheng, Zhiru] Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.
   [Sun, Yao] Jinan Univ, Shenzhen Tourism Coll, Shenzhen 518053, Peoples R China.
C3 Shenzhen University; Jinan University
RP Sun, Y (corresponding author), Jinan Univ, Shenzhen Tourism Coll, Shenzhen 518053, Peoples R China.
EM sunyao@sz.jnu.edu.cn
RI sun, yao/MEP-9275-2025; Shao, Yiwen/ITU-1138-2023
FU National Natural Science Foundation of China [51908243]
FX This research was funded by the National Natural Science Foundation of
   China (51908362) and the National Natural Science Foundation of China
   (51908243).
CR Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   ARUP City Resilience Framework, 2015, ARUP CIT RES FRAM
   Beijing Municipal Commission of Planning and Natural Resources, 2018, BEIJ CIT COMPR PLAN
   Berke P, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103408
   Bifulco F, 2016, INT J PUBLIC SECT MA, V29, P132, DOI 10.1108/IJPSM-07-2015-0132
   Penadés MC, 2017, TECHNOL FORECAST SOC, V121, P17, DOI 10.1016/j.techfore.2016.12.004
   Datola G, 2019, LECT NOTES COMPUT SC, V11622, P108, DOI 10.1007/978-3-030-24305-0_9
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Doyle A, 2018, URBAN BOOK SERIES, P27, DOI 10.1007/978-3-319-68606-6_3
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Fastiggi M, 2021, URBAN STUD, V58, P1262, DOI 10.1177/0042098020907277
   Fleischhauer M, 2008, NATO SCI PEACE SECUR, P273, DOI 10.1007/978-1-4020-8489-8_14
   Fox-Lent C, 2018, LECT N ENERG, V65, P29, DOI 10.1007/978-3-319-75798-8_2
   Fu Y, 2017, HABITAT INT, V63, P55, DOI 10.1016/j.habitatint.2017.03.008
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   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
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jon I, 2018, PLAN THEORY PRACT, V19, P235, DOI 10.1080/14649357.2018.1458965
   Jun HJ, 2014, J ENVIRON PLANN MAN, V57, P904, DOI 10.1080/09640568.2013.775061
   Kaya DA, 2019, URBAN BOOK SERIES, P213, DOI 10.1007/978-3-030-05773-2_11
   Keenan JM, 2018, ENVIRON SCI POLICY, V88, P116, DOI 10.1016/j.envsci.2018.06.015
   Kim H, 2021, SOC NATUR RESOUR, V34, P168, DOI 10.1080/08941920.2020.1775328
   Lambrou N, 2022, J ENVIRON PLANN MAN, V65, P809, DOI 10.1080/09640568.2021.1904849
   Li JJ, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19137919
   Li QC, 2021, ENVIRON SCI POLICY, V124, P125, DOI 10.1016/j.envsci.2021.06.015
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu YS, 2021, LAND USE POLICY, V102, DOI 10.1016/j.landusepol.2021.105288
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Matin N, 2018, WORLD DEV, V109, P197, DOI 10.1016/j.worlddev.2018.04.020
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller F, 2020, URBAN STUD, V57, P1570, DOI 10.1177/0042098019830239
   Ministry of Natural Resources of the People's Republic of China, 2020, GUID COMP CIT LEV TE
   Moghadas M, 2023, GEOJOURNAL, V88, P4215, DOI 10.1007/s10708-023-10858-x
   Moghadas M, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11020114
   Moraci F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030755
   Moreland J, 2018, AUST J EMERG MANAG, V33, P11
   Phillips FY, 2024, IEEE T ENG MANAGE, V71, P12289, DOI 10.1109/TEM.2021.3139051
   Phillips Margaret, 2018, Journal of Electronic Resources Librarianship, V30, P104, DOI 10.1080/1941126X.2018.1465535
   Raco M, 2012, URBAN STUD, V49, P1065, DOI 10.1177/0042098011415716
   Rasoulkhani K, 2020, ENVIRON MODELL SOFTW, V125, DOI 10.1016/j.envsoft.2020.104636
   Rogatka K, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105172
   Sellberg MM, 2018, J ENVIRON MANAGE, V217, P906, DOI 10.1016/j.jenvman.2018.04.012
   Shandiz SC, 2020, ENERGY, V203, DOI 10.1016/j.energy.2020.117856
   Shao YW, 2020, NAT HAZARDS, V104, P55, DOI 10.1007/s11069-018-3539-x
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Shaw K., 2013, PUBLIC POLICY ADMIN, V28, P43, DOI [DOI 10.1177/0952076711432578, 10.1177/0952076711432578]
   Tasan-Kok T., 2013, RESILIENCE THINKING, P39
   The State council of the People's Republic of China, 2021, Outline of the 14th Five-Year Plan (2021-2025) for National Economic and Social Development and Vision 2035
   Wang JYT, 2015, CIV ENG ENVIRON SYST, V32, P180, DOI 10.1080/10286608.2015.1014810
   Woodruff SC, 2022, J PLAN EDUC RES, V42, P64, DOI 10.1177/0739456X18801057
   Xu J, 2020, URBAN STUD, V57, P525, DOI 10.1177/0042098019859232
   Yuan Q, 2020, ROUT INT HANDB, P130
   Zhai GF, 2015, HUM ECOL RISK ASSESS, V21, P1206, DOI 10.1080/10807039.2014.955385
   Zhai W, 2024, J PLAN EDUC RES, V44, P1223, DOI 10.1177/0739456X211048928
NR 58
TC 2
Z9 2
U1 5
U2 40
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 7783
DI 10.3390/su15107783
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 H5UT5
UT WOS:000996619300001
OA gold
DA 2025-04-22
ER

PT J
AU Zhang, ZY
   Zhu, JW
   Yang, L
   Chen, L
AF Zhang, Zhenyu
   Zhu, Jiwei
   Yang, Liu
   Chen, Lu
TI Booster or inhibitor: Diagnosing effects of low-carbon pilot city
   policies on urban resilience from the perspectives of heterogeneity,
   mechanisms and spillover
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Low-carbon city pilot policy; Urban resilience;
   Difference-in-differences model; Mediating effect; Moderating effect;
   Spatial spillover effect
AB Low-carbon city pilot policies are crucial for addressing urban challenges, alleviating pressure on urban systems, and encouraging sustainable development and resilience. This study focused on Chinese cities to explore how low-carbon city pilot policies influence urban resilience. The impact of the policies on urban resilience was assessed using difference-in-differences, mediating effect, and moderating effect models, showcasing both the variation and mechanism of the effects. The results are as follows: First, the introduction of low-carbon city pilot policies has resulted in a 9.3% increase in urban resilience, with noticeable enhancements over time. Second, the influence of low-carbon city pilot policies on urban resilience demonstrates heterogeneity, particularly with more pronounced effects observed in the eastern and coastal regions, as well as in resource-based, priority, and large cities. Third, the implementation of low-carbon city pilot policies has bolstered urban resilience through the promotion of technological innovation, the transformation of industrial structures, and the improvement of energy composition, with green production having a beneficial moderating function. Fourth, low-carbon city pilot policies have a siphoning effect on urban resilience within 50 km, and a positive spatial spillover effect between 50 and 200 km, both of which diminish with increasing distance. Finally, the examination of the policy implications derived from the study's findings is addressed. This study has the potential to serve as a valuable reference for formulating urban sustainable development strategies.
C1 [Zhang, Zhenyu; Zhu, Jiwei; Yang, Liu] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg, Xian, Peoples R China.
   [Zhang, Zhenyu; Zhu, Jiwei; Yang, Liu] New Style Think Tank Shaanxi Univ, Res Ctr Ecohydraul & Sustainable Dev, Xian, Peoples R China.
   [Zhang, Zhenyu; Zhu, Jiwei; Yang, Liu] Xian Univ Technol, Sch Civil Engn & Architecture, Xian 710048, Peoples R China.
   [Chen, Lu] Shaanxi Silk Rd Int Culture & Art Ctr, Xian 710000, Peoples R China.
C3 Xi'an University of Technology; Xi'an University of Technology
RP Yang, L (corresponding author), Xian Univ Technol, 5 Jinhua South Rd, Xian, Shaanxi, Peoples R China.
EM xautzhangzy@163.com; xautzhu@163.com; yangliu0414@163.com;
   xautchenlu@163.com
FU National Natural Science Foundation of China [52209034]
FX This work was supported by the National Natural Science Foundation of
   China (52209034) .
CR Ba R, 2022, J SAF SCI RESIL, V3, P398, DOI 10.1016/j.jnlssr.2022.08.004
   Cheng YR, 2023, INT J DISAST RISK RE, V97, DOI 10.1016/j.ijdrr.2023.104028
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Dong ZYZ, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101718
   Du Q, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103836
   Duan XL, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e10423
   Fu LY, 2024, J CLEAN PROD, V434, DOI 10.1016/j.jclepro.2023.139882
   Han S, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107145
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Jiang NN, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107298
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Lee CC, 2022, ENERG ECON, V115, DOI 10.1016/j.eneco.2022.106343
   Li CM, 2023, J CLEAN PROD, V427, DOI 10.1016/j.jclepro.2023.139183
   Li SN, 2024, INT REV ECON FINANC, V89, P1248, DOI 10.1016/j.iref.2023.08.007
   Liu B, 2023, FINANC RES LETT, V58, DOI 10.1016/j.frl.2023.104055
   Liu X, 2022, CITIES, V123, DOI 10.1016/j.cities.2022.103582
   Liu XS, 2023, FINANC RES LETT, V54, DOI 10.1016/j.frl.2023.103787
   Luo X, 2023, J CLEAN PROD, V428, DOI 10.1016/j.jclepro.2023.139291
   Luo YG, 2024, ECON ANAL POLICY, V83, P204, DOI 10.1016/j.eap.2024.06.014
   Lyu J, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118329
   Sarfraz M, 2022, ENVIRON RES, V212, DOI 10.1016/j.envres.2022.113074
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Shao S, 2023, ENVIRON IMPACT ASSES, V103, DOI 10.1016/j.eiar.2023.107286
   Shi CC, 2022, J CLEAN PROD, V372, DOI 10.1016/j.jclepro.2022.133737
   Shi YF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15129250
   Suárez M, 2024, LANDSCAPE URBAN PLAN, V241, DOI 10.1016/j.landurbplan.2023.104923
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Tang XL, 2023, PHYS CHEM EARTH, V132, DOI 10.1016/j.pce.2023.103467
   Wang CA, 2023, ENERG ECON, V124, DOI 10.1016/j.eneco.2023.106676
   Wang H, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107163
   Wang H, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.159906
   Wang LH, 2023, ENERGY, V283, DOI 10.1016/j.energy.2023.129048
   Wang L, 2023, ENVIRON TECHNOL INNO, V32, DOI 10.1016/j.eti.2023.103372
   Wang PF, 2024, CITIES, V144, DOI 10.1016/j.cities.2023.104646
   Wang ZY, 2023, J INNOV KNOWL, V8, DOI 10.1016/j.jik.2023.100339
   Wei XH, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107143
   Wu JH, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130230
   Xia CH, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104223
   Xiao W, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108167
   Xue WB, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.159736
   Ye CS, 2022, GEOGR SUSTAIN, V3, P299, DOI 10.1016/j.geosus.2022.09.004
   Zeng SB, 2023, J ENVIRON MANAGE, V332, DOI 10.1016/j.jenvman.2023.117363
   Zhang JM, 2023, CITIES, V136, DOI 10.1016/j.cities.2023.104265
   Zhang JJ, 2023, J CLEAN PROD, V405, DOI 10.1016/j.jclepro.2023.136711
   Zhao CY, 2023, J CLEAN PROD, V428, DOI 10.1016/j.jclepro.2023.139507
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhao S, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107184
   Zheng JJ, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2021.125868
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   Zou C, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103954
NR 51
TC 2
Z9 2
U1 53
U2 60
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD OCT 5
PY 2024
VL 474
AR 143587
DI 10.1016/j.jclepro.2024.143587
EA SEP 2024
PG 16
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA G4K2L
UT WOS:001316340100001
DA 2025-04-22
ER

PT J
AU Song, JL
   Pandey, R
   Dong, GP
   Sharifi, A
   Subedi, BP
AF Song, Jinglu
   Pandey, Rishikesh
   Dong, Guanpeng
   Sharifi, Ayyoob
   Subedi, Bhim Prasad
TI Urban-Rural Disparity in Community Resilience: A Multilevel Analysis of
   the Relief Progress after the 2015 Nepal Earthquake
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE urban-rural disparity; community resilience; natural hazards and
   disasters; multilevel models; cross-level interactions
ID DISASTER RESILIENCE; FRAMEWORK; VULNERABILITY; INDICATORS; RECOVERY;
   ENHANCE; CONTEXT; MODELS; HAZARD; PLACE
AB Geo-physical, socio-cultural, politico-institutional, and techno-economic context affect communities' resilience competency to disasters. As the contextual characteristics of urban and rural communities differ, they may perform differently in resilience practice. Taking a case of the 2015 Nepal earthquake, this paper explored community resilience in urban and rural areas by employing binary multilevel models against the monthly survey questionnaire data on relief progress at first; and then adopted cross-level interaction models to examine whether and how urbanization would modify the contributions of resilience factors to post-disaster performances of communities. The results showed an urban-rural disparity of community resilience, with rural residents reporting higher relief scores than their urban counterparts. Whilst, resilience factors, including leadership, fairness, and preparedness, appeared to be crucial to both urban and rural communities, problem solving, in-formation and communication, and civic engagement were only contributing to rural communities. Communities featured with different levels of urbanization do not uniformly experience the impacts of community resilience factors. Urbanization was proofed to interfere with the effects of some community factors like problem solving, information and communication, civic engagement, but reinforce that of the preparedness factor. These findings enrich our understanding of the urban-rural disparity in community resilience, and shed light on the importance of public-centric and context-specific resilience policies in coping with the contextual changes resulted through urbanization processes.
C1 [Song, Jinglu] Xian Jiaotong Liverpool Univ, Dept Urban Planning & Design, Suzhou, Jiangsu, Peoples R China.
   [Pandey, Rishikesh] Pokhara Univ, Fac Humanities & Social Sci, Sch Dev & Social Engn, Pokhara, Nepal.
   [Pandey, Rishikesh; Subedi, Bhim Prasad] Univ Grants Commiss, Kathmandu, Nepal.
   [Dong, Guanpeng] Henan Univ, Key Res Inst Yellow River Civilizat Sustainable D, Kaifeng, Henan, Peoples R China.
   [Dong, Guanpeng] Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat Hen, Kaifeng, Henan, Peoples R China.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Humanities & Social Sci, Higashihiroshima, Hiroshima, Japan.
C3 Xi'an Jiaotong-Liverpool University; Henan University; Henan University;
   Hiroshima University
RP Song, JL (corresponding author), Xian Jiaotong Liverpool Univ, Dept Urban Planning & Design, Suzhou, Jiangsu, Peoples R China.
EM viptanghulu@hotmail.com
RI Pandey, Rishikesh/AAE-4128-2022; Sharifi, Ayyoob/M-7584-2013; dong,
   guanpeng/HNQ-3382-2023; Song, Jinglu/AGZ-8138-2022
OI Pandey, Rishikesh/0000-0002-4271-6723; Song, Jinglu/0000-0002-5220-6364
FU National Natural Science Foundation of China [42007421]; National Social
   Science Foundation of China [21CTQ036]; Research Development Fund (RDF)
   [RDF-19-02-13]; Key Program Special Fund (KSF) of Xi'an
   Jiaotong-Liverpool University [KSF-E-43]
FX This study is supported by National Natural Science Foundation of China
   [Grant No. 42007421], National Social Science Foundation of China [Grant
   No. 21CTQ036], Research Development Fund (RDF) [Grant No. RDF-19-02-13]
   and Key Program Special Fund (KSF) [Grant No. KSF-E-43] of Xi'an
   Jiaotong-Liverpool University. We acknowledge the community perception
   survey data from the Inter-Agency Common Feedback Project, denoted by
   the UN Office for the Coordination of Humanitarian Affairs (UNOCHA), the
   UN Country Team in Nepal (Nepal UNCT), and the UN Resident
   Coordinator/Humanitarian Coordinator's Office in Nepal (Nepal UNRCHCO).
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Agresti A., 2010, ANAL ORDINAL CATEGOR, V656
   Aguinis H, 2015, STRATEG ORGAN, V13, P353, DOI 10.1177/1476127015594622
   Aldrich D. P., 2010, J HOMELAND SECURITY
   [Anonymous], 2021, ANN AM ASS GEOGRAPHE, DOI DOI 10.1093/JAMIA/OCAA268
   [Anonymous], 2015, SEND FRAM DIS RISK R
   [Anonymous], 2009, Terminology on Disaster Risk Reduction, P30
   [Anonymous], 2015, Nepal Inter-Agency Common Feedback Project
   Bakkensen LA, 2017, RISK ANAL, V37, P982, DOI 10.1111/risa.12677
   Bene C., 2012, 405 IDS, V2012, DOI [10.1111/j.2040-0209.2012.00405.x, DOI 10.1111/J.2040-0209.2012.00405.X]
   Bennet L., 2008, Caste, Ethnic and Regional Identity in Nepal: Further Analysis of the 2006 Nepal Demographic and Health Survey
   Bhatt M., 2019, OXFORD RES ENCY NATU
   Blackstock KL, 2006, J RURAL STUD, V22, P161, DOI 10.1016/j.jrurstud.2005.08.007
   Braun-Lewensohn O, 2014, COMMUNITY MENT HLT J, V50, P229, DOI 10.1007/s10597-013-9623-5
   Bronkhorst V. B., 2012, DISASTER RISK MANAGE, P1
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bürkner PC, 2017, J STAT SOFTW, V80, P1, DOI 10.18637/jss.v080.i01
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Castleden M, 2011, J PUBLIC HEALTH-UK, V33, P369, DOI 10.1093/pubmed/fdr027
   Cohen O, 2017, TECHNOL FORECAST SOC, V121, P119, DOI 10.1016/j.techfore.2016.11.008
   Cohen O, 2013, TECHNOL FORECAST SOC, V80, P1732, DOI 10.1016/j.techfore.2012.12.009
   Cox RS, 2015, AM BEHAV SCI, V59, P220, DOI 10.1177/0002764214550297
   Cox RS, 2011, AM J COMMUN PSYCHOL, V48, P395, DOI 10.1007/s10464-011-9427-0
   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
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dahal DilliR., 2003, Population Monographs of Nepal, V1, P87
   Dang YX, 2019, ENVIRON PLAN B-URBAN, V46, P648, DOI 10.1177/2399808317723012
   de Boer J., 2016, 5 UN U CTR POL RES
   Despotaki V, 2018, EARTHQ SPECTRA, V34, P265, DOI 10.1193/071316EQS107M
   Dong GP, 2020, ANN AM ASSOC GEOGR, V110, P739, DOI 10.1080/24694452.2019.1644990
   Dong GP, 2018, COMPUT ENVIRON URBAN, V70, P35, DOI 10.1016/j.compenvurbsys.2018.01.012
   Frailing K, 2017, DISASTER STUD, P1, DOI 10.1057/978-1-137-46914-4
   Ganor M., 2003, Journal of Jewish Communal Service, V79, P105
   Gelman A., 2014, Texts in Statistical Science Series, V3rd
   Goidel K, 2019, LOCAL GOV STUD, V45, P413, DOI 10.1080/03003930.2019.1571999
   Goldstein H., 2002, Understanding Statistics, V1, P223, DOI 10.1207/S15328031US0104_02
   Goldstein H., 2011, Multilevel statistical models
   Guo CL, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101744
   Guo CL, 2020, POPUL SPACE PLACE, V26, DOI 10.1002/psp.2318
   Hemmati M, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac1e3c
   Hemmati M, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001382
   Houston JB, 2015, AM BEHAV SCI, V59, P270, DOI 10.1177/0002764214548563
   Ji TT, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102726
   Jones L, 2019, WORLD DEV, V124, DOI 10.1016/j.worlddev.2019.104632
   Khan F, 2014, DEV PRACT, V24, P559, DOI 10.1080/09614524.2014.908823
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Leykin D, 2013, AM J COMMUN PSYCHOL, V52, P313, DOI 10.1007/s10464-013-9596-0
   Liu Y, 2019, HEALTH PLACE, V58, DOI 10.1016/j.healthplace.2019.102168
   Ma J, 2017, ANN AM ASSOC GEOGR, V107, P109, DOI 10.1080/24694452.2016.1224636
   Mayer B, 2019, CURR ENV HLTH REP, V6, P167, DOI 10.1007/s40572-019-00239-3
   Meshkini A, 2021, NAT HAZARDS, V109, P2027, DOI 10.1007/s11069-021-04909-0
   Mihunov VV, 2018, ANN AM ASSOC GEOGR, V108, P739
   MoFAGA, 2014, LOC GOV COMM DEV PRO
   MoFSC, 2018, FOR COV MAPS LOC LEV
   Mulyasari F, 2013, NAT HAZARDS, V69, P2137, DOI 10.1007/s11069-013-0798-4
   Neely D, 2014, AUST J EMERG MANAG, V29, P55
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ostadtaghizadeh Abbas, 2015, PLoS Curr, V7, DOI 10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed
   Pandey R., 2008, HIMALAYAN REV, V39, P69
   Pandey R, 2015, APPL GEOGR, V64, P74, DOI 10.1016/j.apgeog.2015.09.008
   Patel RB, 2018, INT J DISAST RISK RE, V27, P161, DOI 10.1016/j.ijdrr.2017.10.003
   Paton D., 2006, AM BEHAV SCI
   Pfefferbaum R. L., 2011, COMMUNITIES ADV RESI
   Philo C, 2003, J RURAL STUD, V19, P259, DOI 10.1016/S0743-0167(03)00005-6
   Qiang Y, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102115
   Rapaport C, 2018, INT J DISAST RISK RE, V31, P470, DOI 10.1016/j.ijdrr.2018.05.020
   Raudenbush SW., 2002, HIERARCHICAL LINEAR
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Sajjad M, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102850
   Sajjad M, 2021, APPL GEOGR, V126, DOI 10.1016/j.apgeog.2020.102367
   Sajjad M, 2019, EARTHS FUTURE, V7, P805, DOI 10.1029/2019EF001226
   Sajjad M, 2019, SCI TOTAL ENVIRON, V671, P339, DOI 10.1016/j.scitotenv.2019.03.326
   Schipper L., 2014, IPCC PCC WGII AR5 GL
   Seto Karen, 2013, Urbanization, Biodiversity and Ecosystem Services: Challenges and Opportunities: A Global Assessment, P1, DOI [DOI 10.1007/978-94-007-7088-11/FIGURES/2, 10.1007/978-94-007-7088-11, DOI 10.1007/978-94-007-7088-1_1, 10.1007/978-94-007-7088-1, DOI 10.1007/978-94-007-7088-1]
   Shao WY, 2018, ANN AM ASSOC GEOGR, V108, P1389, DOI 10.1080/24694452.2018.1426436
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Shaw R, 2016, URBAN DISASTERS RESI, P287, DOI [10.1016/B978-0-12-802169-9.00018-5, DOI 10.1016/B978-0-12-802169-9.00018-5]
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Song J, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16142559
   Song JL, 2020, SOC INDIC RES, V148, P189, DOI 10.1007/s11205-019-02188-8
   Song JL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190701
   Srivastava N., 2016, Urban disasters and resilience in asia, P113, DOI [10.1016/B978-0-12-802169-9.00008-2, DOI 10.1016/B978-0-12-802169-9.00008-2]
   Subramanian SV, 2009, INT J EPIDEMIOL, V38, P342, DOI 10.1093/ije/dyn359
   Texas Association of Counties, 2019, TEX COUNT PROF COUNT
   Teye J., 2018, United Nations expert group meeting for the review and appraisal of the programme of action of the international conference on population and development and its contribution to the follow-up and review of the 2030 agenda for sustainable development, P1
   Ungar M, 2013, TRAUMA VIOLENCE ABUS, V14, P255, DOI 10.1177/1524838013487805
   UNOCHA, 2015, NEP EARTHQ SEV IND V
   UNOCHA, 2015, 16 UNOCHA
   Vehtari A, 2017, STAT COMPUT, V27, P1433, DOI 10.1007/s11222-016-9709-3
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   Wilson GA, 2012, GEOFORUM, V43, P1218, DOI 10.1016/j.geoforum.2012.03.008
   Winderl Thomas., 2014, DISASTER RESILIENCE
   World Bank, 2013, GLOB MON REP RUR LIN
   Zou L, 2018, ANN AM ASSOC GEOGR, V108, P1422, DOI 10.1080/24694452.2017.1421897
NR 100
TC 22
Z9 23
U1 24
U2 152
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 APR
PY 2022
VL 79
AR 103698
DI 10.1016/j.scs.2022.103698
EA JAN 2022
PG 18
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 0L3DF
UT WOS:000781357600002
DA 2025-04-22
ER

PT J
AU Xu, WP
   Cai, XY
   Yu, QM
   Proverbs, D
   Xia, T
AF Xu, Wenping
   Cai, Xinyan
   Yu, Qimeng
   Proverbs, David
   Xia, Ting
TI Modelling Trends in Urban Flood Resilience towards Improving the
   Adaptability of Cities
SO WATER
LA English
DT Article
DE urban flood resilience; ANP-EWM-TOPSIS model; resilience assessment;
   obstacle degree model
ID ANALYTIC NETWORK PROCESS; DECISION; INDEX; FRAMEWORK
AB Urban flooding is one of the main challenges affecting sustainable urban development worldwide, threatening the safety and well-being of communities and citizens. The aim of this study is to assess the development and trends in urban flood resilience at the city scale, as well as to improve the resilience of cities to these risks over time. The study constructs a model for assessing urban flood resilience that incorporates economic, social, ecological, and managerial aspects and assesses them through a range of indicators identified in the literature. The comprehensive evaluation model of Network Analysis Method-Entropy Weight Method-The Distance between Excellent and Inferior Solutions (ANP-EWM-TOPSIS) was used to empirically investigate the flood resilience characteristics of Nanjing from 2010 to 2021. There are two main findings of the study: firstly, the flood resilience of Nanjing gradually improves over time, as the economic flood resilience steadily increases, while the social, ecological, and management flood resilience decreases; and secondly, during the study period, barriers caused by economic and regulatory factors in Nanjing decreased by 33.75% and 23.72%, respectively, while barriers caused by social and ecological factors increased by 32.69% and 24.68%, respectively. The novelty of this study is the introduction of a "barrier degree" model, which identifies and highlights barriers and obstacles to improving urban flood resilience and provides new insights into improving urban flood resilience at the city scale.
C1 [Xu, Wenping; Cai, Xinyan; Yu, Qimeng] Wuhan Univ Sci & Technol, Sch Management, Wuhan 430065, Peoples R China.
   [Xu, Wenping; Xia, Ting] Wuhan Huaxia Inst Technol, Sch Informat Engn, Wuhan 430073, Peoples R China.
   [Proverbs, David] De Montfort Univ, Enterprise & Business Innovat, Leicester LE1 9BH, England.
C3 Wuhan University of Science & Technology; Wuhan Huaxia University of
   Technology; De Montfort University
RP Proverbs, D (corresponding author), De Montfort Univ, Enterprise & Business Innovat, Leicester LE1 9BH, England.
EM xuwenping@wust.edu.cn; g15515103316@163.com; yuqimeng2023@163.com;
   david.proverbs@dmu.ac.uk; xt@whhxit.edu.cn
RI Proverbs, David/AAL-1178-2020
OI Proverbs, David/0000-0002-3297-2205
FU Key Project of Hubei Provincial Department of Education
FX No Statement Available
CR Abdrabo KI, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2023.101426
   Asadzadeh A, 2015, INT J DISAST RISK RE, V14, P504, DOI 10.1016/j.ijdrr.2015.10.002
   Azareh A, 2021, GEOCARTO INT, V36, P2345, DOI 10.1080/10106049.2019.1695958
   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
   Cao FF, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110643
   [陈长坤 Chen Changkun], 2018, [中国安全科学学报, China Safety Science Journal（CSSJ）], V28, P1
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Chen XB, 2022, KSCE J CIV ENG, V26, P4178, DOI 10.1007/s12205-022-2257-9
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Darabi H, 2019, J HYDROL, V569, P142, DOI 10.1016/j.jhydrol.2018.12.002
   Dewulf A, 2015, J WATER CLIM CHANGE, V6, P1, DOI 10.2166/wcc.2014.000
   He L., 2023, Water Resour. Hydropower Eng, P1, DOI [10.13928/j.cnki.wrahe.2024.03.003, DOI 10.13928/J.CNKI.WRAHE.2024.03.003]
   [贺山峰 He Shanfeng], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1988
   Hegger DLT, 2016, ECOL SOC, V21, DOI 10.5751/ES-08854-210452
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hosseini FS, 2021, ENVIRON SCI POLLUT R, V28, P62487, DOI 10.1007/s11356-021-14534-w
   [黄晶 Huang Jing], 2020, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V29, P2519
   Jamali A, 2023, J INDIAN SOC REMOTE, V51, P893, DOI 10.1007/s12524-023-01670-8
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Laeni N, 2019, CITIES, V90, P157, DOI 10.1016/j.cities.2019.02.002
   Li CC, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13080787
   [李德智 Li Dezhi], 2023, [灾害学, Journal of Catastrophology], V38, P99
   Li S., 2016, Zhengzhou Univ, V14, P4777
   Li W, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104631
   Li ZH, 2022, INT J DISAST RISK RE, V74, DOI 10.1016/j.ijdrr.2022.102911
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu G., 2018, Resour. Dev. Mark, V34, P593
   Liu HQ, 2023, ENERGY, V264, DOI 10.1016/j.energy.2022.126294
   Lu PJ, 2023, LANDSCAPE URBAN PLAN, V238, DOI 10.1016/j.landurbplan.2023.104804
   Lu XH, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-24370-8
   Ma S., 1984, ACTA ECOLOGICA SINIC, V4, P1, DOI DOI 10.1016/j.chnaes.2018.07.004
   Mabrouk M, 2023, INT J DISAST RISK RE, V91, DOI 10.1016/j.ijdrr.2023.103684
   McPherson S, 2018, NURS RES, V67, P404, DOI 10.1097/NNR.0000000000000297
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Morris A, 2017, MOBILE NETW APPL, V22, P305, DOI 10.1007/s11036-017-0809-x
   Müller A, 2011, NAT HAZARD EARTH SYS, V11, P2107, DOI 10.5194/nhess-11-2107-2011
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Parkouhi SV, 2017, J CLEAN PROD, V161, P431, DOI 10.1016/j.jclepro.2017.04.175
   Qiao H, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010038
   Rafiei-Sardooi E, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102614
   Rana IA, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102442
   Restemeyer B, 2017, J ENVIRON PLANN MAN, V60, P920, DOI 10.1080/09640568.2016.1189403
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   Shi P., 1996, J. Nat. Disasters, V18, P1
   Song S, 2020, TECHNOL FORECAST SOC, V152, DOI 10.1016/j.techfore.2019.119859
   Sörensen J, 2016, WATER-SUI, V8, DOI 10.3390/w8080332
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Taromideh F, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14084483
   Tavana M, 2018, INFORM SCIENCES, V432, P301, DOI 10.1016/j.ins.2017.12.019
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Unisdr G., 2012, How to Make Cities More Resilient: A Handbook for Local Government Leaders
   Wang J., 2020, J HOHAI U PHILOS SOC, V22, P39
   Wang P, 2021, NAT HAZARDS, V109, P2575, DOI 10.1007/s11069-021-04933-0
   Wiering M, 2015, J WATER CLIM CHANGE, V6, P38, DOI 10.2166/wcc.2014.017
   Wu YW, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128349
   Xiang C, 2020, ENVIRON TECHNOL INNO, V20, DOI 10.1016/j.eti.2020.101131
   Xiong Q., 2021, Hubei Univ. Technol, DOI [10.27131/d.cnki.ghugc.2021.000416, DOI 10.27131/D.CNKI.GHUGC.2021.000416]
   Xu T, 2023, WATER SCI TECHNOL, V87, P2820, DOI 10.2166/wst.2023.149
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Xu XY, 2021, J CLEAN PROD, V294, DOI 10.1016/j.jclepro.2021.126147
   [徐宗学 Xu Zongxue], 2020, [水科学进展, Advances in Water Science], V31, P713
   Yang J, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811685
   Yang YY, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126470
   Yao Z., 2021, Shanxi Univ. Financ. Econ, DOI [10.27283/d.cnki.gsxcc.2021.000447, DOI 10.27283/D.CNKI.GSXCC.2021.000447]
   Ye C, 2019, HABITAT INT, V83, P20, DOI 10.1016/j.habitatint.2018.10.010
   Zeng ZG, 2021, RELIAB ENG SYST SAFE, V209, DOI 10.1016/j.ress.2021.107443
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhang Y, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912870
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zhou XY, 2023, CHIN J LIQ CRYST DIS, V38, P24, DOI 10.37188/CJLCD.2022-0319
   Zhou Z., 2022, J. Hunan City Univ. (Nat. Sci.), V31, P55
   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 82
TC 2
Z9 2
U1 39
U2 55
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JUN
PY 2024
VL 16
IS 11
AR 1614
DI 10.3390/w16111614
PG 25
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA UB1K5
UT WOS:001245509200001
OA gold
DA 2025-04-22
ER

PT J
AU Wang, NX
   Wu, M
   Yuen, KF
   Gao, XY
AF Wang, Nanxi
   Wu, Min
   Yuen, Kum Fai
   Gao, Xueyi
TI Urban transportation system long-term resilience assessment using
   multi-dimensional dynamic Bayesian network
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Urban transportation system; Resilience assessment; Dynamic Bayesian
   network; Sustainable development; Dempster-Shafer evidence interval
   theory; Long-term assessment
ID ENTERPRISE; FRAMEWORK
AB Resilience has increasingly been recognized as crucial for coping with disruptions and sustaining urban transportation systems (UTSs). However, long-term and dynamic resilience research is lacking. Therefore, this study redefines resilience and develops a comprehensive dynamic longterm resilience assessment model for UTSs. To capture the dynamic characteristics of UTS, we constructed a dynamic Bayesian network model to explore the system's latent learning ability. To reflect the multidimensional considerations in measuring system resilience, leading indicators from four dimensions (economic, environmental, social, and technological) are selected. Case studies reveal that 1) UTS resilience shows dynamic characteristics, 2) environmental and technical indicators enhance resilience, 3) learning capability is positively related to resilience, and 4) resilience does not always correlate with economic development or urban GDP. The proposed research framework offers a reference for integrating subjective and objective data, and the evaluation model serves as a guide for dynamic assessments of system resilience.
C1 [Wang, Nanxi; Wu, Min; Yuen, Kum Fai] Nanyang Technol Univ, Sch Civil & Environm Engn, Nanyang, Singapore.
   [Gao, Xueyi] Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin 150090, Peoples R China.
C3 Nanyang Technological University; Harbin Institute of Technology
RP Yuen, KF (corresponding author), Nanyang Technol Univ, Sch Civil & Environm Engn, Nanyang, Singapore.
EM kumfai.yuen@ntu.edu.sg
RI WANG, NANXI/MIO-0155-2025; Yuen, Kum/K-2994-2019
FU Ministry of Education, Singapore, under its Academic Research Fund Tier
   1 [RG137/22]
FX This research is supported by the Ministry of Education, Singapore,
   under its Academic Research Fund Tier 1 (Project ID, RG137/22) .
CR Ai HS, 2022, STRUCT CHANGE ECON D, V61, P166, DOI 10.1016/j.strueco.2022.02.012
   Ajay P, 2022, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-021-02010-x
   Alotaibi S, 2022, RES TRANSP BUS MANAG, V43, DOI 10.1016/j.rtbm.2021.100702
   [Anonymous], 2012, Disaster resilience: A national imperative, DOI DOI 10.17226/13457
   Arango E, 2023, RELIAB ENG SYST SAFE, V238, DOI 10.1016/j.ress.2023.109407
   Argyroudis SA, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2021.100387
   Asimeng E. T., 2022, Urban Rail Implementation in Emerging Economies: An Opportunity for Industrial Development and Technological Learning
   Bayes T, 1763, Philos. Trans. R. Soc. London, V370, P418
   Bissett A, 2013, SOIL BIOL BIOCHEM, V58, P281, DOI 10.1016/j.soilbio.2012.12.002
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chen HR, 2022, J CLEAN PROD, V368, DOI 10.1016/j.jclepro.2022.133237
   Chen XF, 2024, TRANSPORT RES D-TR E, V131, DOI 10.1016/j.trd.2024.104202
   Chen XL, 2023, RELIAB ENG SYST SAFE, V238, DOI 10.1016/j.ress.2023.109469
   DAGUM P, 1993, ARTIF INTELL, V60, P141, DOI 10.1016/0004-3702(93)90036-B
   DEMPSTER AP, 1967, ANN MATH STAT, V38, P325, DOI 10.1214/aoms/1177698950
   Deveci M, 2023, TRANSPORT RES A-POL, V172, DOI 10.1016/j.tra.2023.103666
   Diab E, 2020, INT J SUSTAIN TRANSP, V14, P657, DOI 10.1080/15568318.2019.1600174
   Dong L, 2016, SCI REP-UK, V6, DOI 10.1038/srep26377
   Erol O, 2010, ENTERP INF SYST-UK, V4, P111, DOI 10.1080/17517570903474304
   Friman M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093563
   Ganin AA, 2019, TRANSPORT RES C-EMER, V100, P318, DOI 10.1016/j.trc.2019.01.014
   Geng SY, 2023, RELIAB ENG SYST SAFE, V236, DOI 10.1016/j.ress.2023.109298
   Haghshenas H, 2015, CITIES, V45, P104, DOI 10.1016/j.cities.2014.11.003
   Hassan ST, 2022, ENERGY, V238, DOI 10.1016/j.energy.2021.121890
   Helaakoski H, 2007, INT FED INFO PROC, V243, P299
   Henrion M, 1987, SOME PRACTICAL ISSUE
   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
   Kamalahmadi M, 2016, INT J PROD ECON, V171, P116, DOI 10.1016/j.ijpe.2015.10.023
   Kammouh O, 2020, RELIAB ENG SYST SAFE, V198, DOI 10.1016/j.ress.2020.106813
   Kim S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111883
   Lin D, 2022, TUNN UNDERGR SP TECH, V125, DOI 10.1016/j.tust.2022.104509
   Liu H, 2021, J ENVIRON MANAGE, V300, DOI 10.1016/j.jenvman.2021.113687
   Liu YB, 2023, IEEE T INTELL TRANSP, V24, P7831, DOI 10.1109/TITS.2023.3234444
   Lu HY, 2022, J TRANSP GEOGR, V99, DOI 10.1016/j.jtrangeo.2022.103292
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Ma F, 2023, TRANSPORT RES D-TR E, V123, DOI 10.1016/j.trd.2023.103928
   Mashrur SM, 2023, TRANSPORT RES F-TRAF, V95, P18, DOI 10.1016/j.trf.2023.03.014
   Nickdoost N, 2024, TRANSPORT RES D-TR E, V131, DOI 10.1016/j.trd.2024.104180
   Nogal M, 2019, RELIAB ENG SYST SAFE, V185, P72, DOI 10.1016/j.ress.2018.12.013
   Orieno O.H., 2024, Eng. Sci. Technol. J, V5, P43, DOI DOI 10.51594/ESTJ.V5I1.721
   Pan X, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108483
   Pearl J., 1988, PROBABILISTIC REASON
   Sahu PK, 2022, TRANSP DEV ECON, V8, DOI 10.1007/s40890-022-00161-8
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Shafer G., 1976, A Mathematical Theory of Evidence
   Shashi, 2020, BUS STRATEG ENVIRON, V29, P1215, DOI 10.1002/bse.2428
   Sordo L, 2018, ECOL EVOL, V8, P4781, DOI 10.1002/ece3.4020
   Tang JQ, 2020, TRANSPORT RES C-EMER, V121, DOI 10.1016/j.trc.2020.102840
   Wang N., 2024, Sustain. Cities Soc
   Wang NX, 2024, APPL SOFT COMPUT, V162, DOI 10.1016/j.asoc.2024.111823
   Wang NX, 2024, TRANSPORT RES REC, V2678, P891, DOI 10.1177/03611981231201113
   Wang NX, 2023, RELIAB ENG SYST SAFE, V238, DOI 10.1016/j.ress.2023.109478
   Wang NX, 2023, RELIAB ENG SYST SAFE, V237, DOI 10.1016/j.ress.2023.109394
   Wang NX, 2022, RELIAB ENG SYST SAFE, V226, DOI 10.1016/j.ress.2022.108673
   Xiao WY, 2022, TRANSPORT RES D-TR E, V110, DOI 10.1016/j.trd.2022.103428
   Yin JT, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108183
   Yin K, 2023, TRANSPORT RES A-POL, V173, DOI 10.1016/j.tra.2023.103687
   ZADEH LA, 1975, INFORM SCIENCES, V8, P199, DOI 10.1016/0020-0255(75)90046-8
   Zhang ZP, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104315
NR 60
TC 0
Z9 0
U1 52
U2 52
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 104427
DI 10.1016/j.trd.2024.104427
EA NOV 2024
PG 25
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 M3R3T
UT WOS:001356747800001
DA 2025-04-22
ER

PT J
AU Zuniga-Teran, AA
   Gerlak, AK
   Mayer, B
   Evans, TP
   Lansey, KE
AF Zuniga-Teran, Adriana A.
   Gerlak, Andrea K.
   Mayer, Brian
   Evans, Tom P.
   Lansey, Kevin E.
TI Urban resilience and green infrastructure systems: towards a
   multidimensional evaluation
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Review
ID COMMUNITY RESILIENCE; SUSTAINABILITY; LANDSCAPE; IMPACT; MODEL;
   CONNECTIVITY; STORMWATER; INDICATOR; FRAMEWORK; RECOVERY
AB Multifunctional and connected green infrastructure (GI) systems have been linked to urban resilience. Although there have been significant scholarly efforts to assess resilience and to evaluate the benefits of GI, it remains unclear the degree in which GI efforts enhance resilience. Following theoretical frameworks that study coupled infrastructure systems, this paper explores the state of the art on the contribution of GI to urban resilience from multiple dimensions: (1) policy - that promotes the adoption of GI, (2) performance - assessment of GI impacts on water infrastructure systems resilience, (3) connectivity - evaluation of human and wildlife movement through GI, and (4) social - community cohesion as a result of GI efforts. We argue that beyond their individual contributions to supporting urban resilience, the interactions across the various dimensions are key to enhancing resilience. Ultimately, participatory processes are needed to assess resilience originating from GI systems and avoid injustice.
C1 [Zuniga-Teran, Adriana A.; Gerlak, Andrea K.; Mayer, Brian; Evans, Tom P.; Lansey, Kevin E.] Univ Arizona, Tucson, AZ 85721 USA.
C3 University of Arizona
RP Zuniga-Teran, AA (corresponding author), Univ Arizona, Tucson, AZ 85721 USA.
EM aazuniga@email.arizona.edu
RI Zuniga-Teran, Adriana/HIK-2468-2022
OI Zuniga-Teran, Adriana/0000-0003-2912-2469; Mayer,
   Brian/0000-0002-9492-2326; Lansey, Kevin/0000-0002-8626-1433
FU Agnese Nelms Haury Program in Environment and Social Justice at the
   University of Arizona; International Water Security Network - Lloyd's
   Register Foundation; Inter American Institute for Global Change Research
   (IAI) [CRN3056]; National Science Foundation [GEO-1128040]; Morris K.
   Udall and Stewart L. Udall Foundation in Tucson, Arizona; UMI-iGlobes, a
   French National Center for Scientific Research at the University of
   Arizona
FX This work was funded by the Agnese Nelms Haury Program in Environment
   and Social Justice at the University of Arizona. We also received
   support from the International Water Security Network funded by Lloyd's
   Register Foundation, a charitable foundation helping to protect life and
   property by supporting engineering-related education, public engagement,
   and the application of research. We also received support from the Inter
   American Institute for Global Change Research (IAI) CRN3056, which is
   supported by the National Science Foundation [GEO-1128040]. The paper
   also benefited from support by the Morris K. Udall and Stewart L. Udall
   Foundation in Tucson, Arizona; and by the UMI-iGlobes, a French National
   Center for Scientific Research at the University of Arizona.
CR Abraham A, 2010, INT J PUBLIC HEALTH, V55, P59, DOI 10.1007/s00038-009-0069-z
   Abramson DM, 2015, J BEHAV HEALTH SER R, V42, P42, DOI 10.1007/s11414-014-9410-2
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Amati M, 2010, PLAN PRACT RES, V25, P143, DOI 10.1080/02697451003740122
   Anderies JM, 2016, INT J COMMONS, V10, P495, DOI 10.18352/ijc.651
   [Anonymous], Resilient cities
   Artmann M, 2019, ECOL INDIC, V96, P10, DOI 10.1016/j.ecolind.2017.07.001
   Baptiste AK, 2015, LANDSCAPE URBAN PLAN, V136, P1, DOI 10.1016/j.landurbplan.2014.11.012
   Barr S, 2012, LOCAL ENVIRON, V17, P525, DOI 10.1080/13549839.2012.676637
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burley BA, 2018, HEALTH PLACE, V54, P43, DOI 10.1016/j.healthplace.2018.08.015
   Caniglia BS., 2016, RESILIENCE ENV JUSTI
   Carlier J, 2019, SCI TOTAL ENVIRON, V651, P3241, DOI 10.1016/j.scitotenv.2018.10.077
   Charlesworth S, 2014, WATER RESOURCES BUIL
   Coutts C., 2016, Green infrastructure and public health
   Coutts C, 2015, INT J ENV RES PUB HE, V12, P9768, DOI 10.3390/ijerph120809768
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dhakal KP, 2016, ENVIRON MANAGE, V57, P1112, DOI 10.1007/s00267-016-0667-5
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Feng SS, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11082252
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Heymans A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133723
   Kolosna C, 2019, URBAN FOR URBAN GREE, V40, P215, DOI 10.1016/j.ufug.2018.11.010
   Kuo FE, 2001, ENVIRON BEHAV, V33, P343, DOI 10.1177/00139160121973025
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Mayer B, 2016, RESILIENCE ENV JUSTI, P45, DOI DOI 10.4324/9781315652054-10
   Meerow S, 2017, ENVIRON PLANN A, V49, P2649, DOI 10.1177/0308518X17723630
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mell I, 2013, HDB GREEN INFRASTRUC, P105
   Nickel D, 2014, J ENVIRON PLANN MAN, V57, P403, DOI 10.1080/09640568.2012.748652
   Olazabal M, 2018, LECT N ENERG, V65, P195, DOI 10.1007/978-3-319-75798-8_11
   Pakzad P, 2016, PROCD SOC BEHV, V216, P68, DOI 10.1016/j.sbspro.2015.12.009
   Pierre S, 2016, URBAN FOR URBAN GREE, V15, P149, DOI 10.1016/j.ufug.2015.11.006
   Pregitzer CC, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab2552
   Rall E, 2019, URBAN FOR URBAN GREE, V40, P264, DOI 10.1016/j.ufug.2018.06.016
   Scharenbroch BC, 2016, J ENVIRON QUAL, V45, P199, DOI 10.2134/jeq2015.01.0060
   Simpson NP, 2019, INT J URBAN SUSTAIN, V11, P257, DOI 10.1080/19463138.2019.1642203
   Staddon C, 2017, RESILIENCE SHIF AGEN, P19
   Staddon Chad, 2018, Environment Systems & Decisions, V38, P330, DOI 10.1007/s10669-018-9702-9
   Tayouga SJ, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121277
   Tellman B, 2018, ECOL SOC, V23, DOI [10.5751/ES-09712-230101, 10.5751/es-09712-230101]
   Tidball KG, 2018, URBAN FOR URBAN GREE, V34, P269, DOI 10.1016/j.ufug.2018.07.005
   Tierney K., 2007, TR News, V250, P14, DOI DOI 10.17226/23168
   Vogel JR, 2015, WATER ENVIRON RES, V87, P849, DOI 10.2175/106143015X14362865226392
   Ward S, 2019, URBAN WATER J, V16, P56, DOI 10.1080/1573062X.2019.1633674
   Wilson D, 2018, URBAN GEOGR, V39, P1265, DOI 10.1080/02723638.2018.1452873
   Wise S, 2008, PLANNING, V7
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zuniga-Teran AA, 2020, J ENVIRON PLANN MAN, V63, P710, DOI 10.1080/09640568.2019.1605890
   Zuniga-Teran AA, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113055
NR 57
TC 62
Z9 69
U1 30
U2 210
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 2020
VL 44
SI SI
BP 42
EP 47
DI 10.1016/j.cosust.2020.05.001
PG 6
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 PI3FS
UT WOS:000600980900007
OA Bronze
DA 2025-04-22
ER

PT J
AU Wu, WH
   Huang, YY
   Fath, BD
   Schwarzfurtner-Lutnik, K
   Harder, MK
AF Wu, Wenhao
   Huang, Yanyan
   Fath, Brian D.
   Schwarzfurtner-Lutnik, Katharina
   Harder, Marie K.
TI Using desirable urban states to understand key linkages between
   resilience subsystems
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Integrated resilience; Urban resilience; Shared values; Desirable state;
   Ecological resilience; WeValue InSitu
ID CLIMATE-CHANGE; SYSTEM; SUSTAINABILITY; TRANSFORMATION; DETERMINANTS;
   PERCEPTIONS; PERSPECTIVE; ADAPTATION; FRAMEWORK
AB Interdisciplinary research is called for to model integrated urban resilience across separate urban subsystems (infrastructure, governance, resources, socio-economic), and for chartering pathways toward an urban 'desirable state'. A core challenge is to determine the linkages between the subsystems. In this work, we demonstrate a novel approach by first constructing profiles of a desirable state, based on human shared values obtained empirically, and then use those to identify linkages naturally occurring between associated subsystems. We demonstrate the approach in two contrasting cities, Shanghai and Vienna, using WeValue InSitu methods to crystallize shared values and explore perspectives of urban disruption. The Desirable States of both cities provide elements with intrinsic strong linkages between urban subsystems, which can be represented with system dynamics mapping. These results reveal that this values-based approach contributes to modeling and studies of integrated urban resilience, for theory building and for applications.
C1 [Wu, Wenhao; Huang, Yanyan; Harder, Marie K.] Fudan Univ, Dept Environm Sci & Engn, 2005 Songhu Rd, Shanghai 200433, Peoples R China.
   [Huang, Yanyan] Wageningen Univ & Res, Wageningen Sch Social Sci WASS, Educ & Learning Sci Grp ELS, Wageningen, Netherlands.
   [Fath, Brian D.; Schwarzfurtner-Lutnik, Katharina] Int Inst Appl Syst Anal IIASA, Adv Syst Anal Program, Schlosspl 1, A-2361 Laxenburg, Austria.
   [Fath, Brian D.] Towson Univ, Dept Biol Sci, 8000 York Rd, Towson, MD 21252 USA.
   [Fath, Brian D.] Masaryk Univ, Dept Environm Studies, Brno, Czech Republic.
   [Harder, Marie K.] Univ Brighton, Values & Sustainabil Res Grp, Lewes Rd, Brighton BN2 4GJ, E Sussex, England.
C3 Fudan University; Wageningen University & Research; International
   Institute for Applied Systems Analysis (IIASA); University System of
   Maryland; Towson University; Masaryk University Brno; University of
   Brighton
RP Harder, MK (corresponding author), Fudan Univ, Dept Environm Sci & Engn, 2005 Songhu Rd, Shanghai 200433, Peoples R China.; Harder, MK (corresponding author), Univ Brighton, Values & Sustainabil Res Grp, Lewes Rd, Brighton BN2 4GJ, E Sussex, England.
EM m.k.harder@brighton.ac.uk
RI Harder, Marie Kieran/D-3157-2013
OI Harder, Marie Kieran/0000-0002-1811-4597; Fath, Brian
   D./0000-0001-9440-6842
FU National Natural Science Foundation of China [71961137009]; Key Projects
   Development Fund of Office of Global Partnerships of Fudan University;
   AHRC [AH/L013142/1] Funding Source: UKRI
FX <B>Acknowledgement</B> This work was funded by the National Natural
   Science Foundation of China (No.71961137009) and the Key Projects
   Development Fund of Office of Global Partnerships of Fudan University.
CR Adger WN, 2022, NAT HUM BEHAV, V6, P1465, DOI 10.1038/s41562-022-01467-8
   Assumma V., 2021, New Metropolitan Perspectives, P676, DOI [10.1007/978-3-030-48279-4_63, DOI 10.1007/978-3-030-48279-4_63]
   Behboudian M, 2023, J CLEAN PROD, V397, DOI 10.1016/j.jclepro.2023.136437
   Brand FS, 2007, ECOL SOC, V12
   Britten Nicky, 2002, J Health Serv Res Policy, V7, P209, DOI 10.1258/135581902320432732
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   Chang HJ, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102786
   Chen B, 2022, RESOUR CONSERV RECY, V181, DOI 10.1016/j.resconrec.2022.106268
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Creswell JW, 2009, J MIX METHOD RES, V3, P95, DOI 10.1177/1558689808330883
   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
   Dijst M, 2018, RESOUR CONSERV RECY, V132, P190, DOI 10.1016/j.resconrec.2017.09.014
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Fath BD, 2005, ENVIRON MODELL SOFTW, V20, P485, DOI 10.1016/j.envsoft.2004.02.007
   Fath BD, 2015, ECOL SOC, V20, DOI 10.5751/ES-07467-200224
   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
   France EF, 2019, REV EDUC-US, V7, P430, DOI 10.1002/rev3.3147
   Glaser B, 1999, DISCOV GROUNDED THEO
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Harder M., 2018, Measuring Intangible Values: Rethinking How to Evaluate Socially Beneficial Actions, P1, DOI [10.4324/9781315114316, DOI 10.4324/9781315114316]
   Harder MK, 2014, J ENVIRON MANAGE, V139, P120, DOI 10.1016/j.jenvman.2014.02.022
   He PJ, 2019, ENERG ECON, V84, DOI 10.1016/j.eneco.2019.104569
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang Y., 2022, CLEANER PROD LETT, V3, P100018, DOI 10.1016/j.clpl.2022.100018
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jones NA, 2016, ECOL SOC, V21, DOI 10.5751/ES-07977-210115
   Khan MTI, 2022, J CLEAN PROD, V366, DOI 10.1016/j.jclepro.2022.132937
   Kim Y, 2022, CURR OPIN ENV SUST, V54, DOI 10.1016/j.cosust.2022.101153
   Krueger EH, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00053-1
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li Y, 2018, J CLEAN PROD, V195, P1505, DOI 10.1016/j.jclepro.2017.10.227
   Markolf SA, 2018, EARTHS FUTURE, V6, P1638, DOI 10.1029/2018EF000926
   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, 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
   Moreno JM, 2023, PUBLIC HEALTH NUTR, V26, P2418, DOI 10.1017/S1368980023001088
   Mou Y, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125719
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Noblit G. W., 1988, META ETHNOGRAPHY SYN, DOI DOI 10.4135/9781412985000
   Odii BC, 2021, J CLEAN PROD, V304, DOI 10.1016/j.jclepro.2021.127024
   Odii EC, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.135045
   Oliveira B, 2023, LAND-BASEL, V12, DOI 10.3390/land12061182
   Pan HZ, 2019, ECOL INDIC, V102, P426, DOI 10.1016/j.ecolind.2019.02.059
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Podger D, 2016, J CLEAN PROD, V134, P225, DOI 10.1016/j.jclepro.2015.08.034
   Polanyi M., 1958, Personal knowledge: Towards a post-critical philosophy
   Poortinga W, 2019, GLOBAL ENVIRON CHANG, V55, P25, DOI 10.1016/j.gloenvcha.2019.01.007
   Rubin H. J., 2005, Qualitative interviewing: The art of hearing data, V2nd, P64, DOI DOI 10.4135/9781452226651
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Satterfield T, 2018, ECOL SOC, V23, DOI [10.5751/ES-10637-230447, 10.5751/es-10637-230447]
   Sen MK, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125526
   Sethamo OA, 2020, CLIM DEV, V12, P448, DOI 10.1080/17565529.2019.1639488
   Sharifi A, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104910
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Thonicke K, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001221
   Tschakert P, 2019, GLOBAL ENVIRON CHANG, V55, P58, DOI 10.1016/j.gloenvcha.2018.11.006
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Uehara T, 2019, ECOL SOC, V24, DOI 10.5751/ES-10903-240222
   Wang L, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104048
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wardekker A, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103258
   Wu JJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124712
   Yang DW, 2018, RESOUR CONSERV RECY, V134, P196, DOI 10.1016/j.resconrec.2018.03.016
   Yang J, 2014, J ENVIRON MANAGE, V146, P1, DOI 10.1016/j.jenvman.2014.07.015
   Zhang JM, 2023, CITIES, V136, DOI 10.1016/j.cities.2023.104265
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 71
TC 3
Z9 3
U1 12
U2 27
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD JAN 10
PY 2024
VL 436
AR 140678
DI 10.1016/j.jclepro.2024.140678
EA JAN 2024
PG 13
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA ID9E5
UT WOS:001164497700001
DA 2025-04-22
ER

PT J
AU Dong, DM
   Yu, ZY
   Xu, JZ
AF Dong, Damin
   Yu, Zeyu
   Xu, Jianzhong
TI A Study on the Characteristics and System Construction of Urban Disaster
   Resilience in Shanghai: A Metropolis Perspective
SO SUSTAINABILITY
LA English
DT Article
DE disaster risk; urban resilience; resilience characteristics; system
   construction
ID CRITICAL INFRASTRUCTURE; COMMUNITY RESILIENCE; CLIMATE-CHANGE;
   VULNERABILITY; RISK; RESPONSES; HAZARD; SET
AB As climate change intensifies, cities face growing risks. Natural disasters underscore the vulnerabilities inherent in urban systems. Resilience provides a dynamic and developmental approach to urban disaster management. This study focuses on Shanghai to examine its urban disaster resilience by analyzing compounded disaster scenarios, the impacts on vulnerable entities, and spatial differentiation within the city. Specifically, it explores the internal mechanisms of resilience across three dimensions, functional, procedural, and systemic, forming the foundation for the model. A three-dimensional urban disaster resilience model is then constructed. The first-level indicators afford the overall framework, the second-level indicators emphasize resilience based on resources and geographical endowments, and the third-level indicators are tailored to the current political, economic, cultural, and social characteristics of the region. Using actual collected data, along with the Analytic Hierarchy Process (AHP) and expert judgment methodologies, the resilience indicator system for Shanghai can scientifically reflect the city's capacity to withstand disasters and offers a foundation for developing targeted solutions. The results highlight the framework's potential generalizability to other metropolises and its contributions to global resilience research.
C1 [Dong, Damin; Yu, Zeyu] East China Univ Sci & Technol ECUST, Sch Business, Dept Management Sci & Engn, Shanghai 200237, Peoples R China.
   [Xu, Jianzhong] Shanghai Tongji Engn Consulting Co Ltd, Shanghai 200092, Peoples R China.
C3 East China University of Science & Technology
RP Yu, ZY (corresponding author), East China Univ Sci & Technol ECUST, Sch Business, Dept Management Sci & Engn, Shanghai 200237, Peoples R China.
EM myddm@163.com; 22090020@mail.ecust.edu.cn; davexu2016@gmail.com
RI Xu, Jianzhong/F-5945-2013
OI Yu, Zeyu/0009-0006-0524-9907
FU State Council's First National Natural Disaster Comprehensive Risk
   Survey Leading Group Office; East China University of Science and
   Technology through the Undergraduate Training Program on Innovation and
   Entrepreneurship [202410251097];  [N110-72210]
FX This research was funded by the State Council's First National Natural
   Disaster Comprehensive Risk Survey Leading Group Office under the
   project "Integration of Natural Disaster Comprehensive Risk Survey
   Results into Land and Space Planning Pilot Areas (Shanghai)" (Grant No.
   N110-72210). This research was also funded by the East China University
   of Science and Technology through the Undergraduate Training Program on
   Innovation and Entrepreneurship (Grant No. 202410251097).
CR Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Afrasiabi A, 2022, ENVIRON SCI POLLUT R, V29, P37291, DOI 10.1007/s11356-021-17851-2
   Agarwal J, 2003, STRUCT SAF, V25, P263, DOI 10.1016/S0167-4730(02)00068-1
   Ahmed Z, 2013, INT J DISAST RISK RE, V4, P15, DOI 10.1016/j.ijdrr.2013.03.003
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Alexander D., 2015, OXFORD RES ENCY NATU
   Alexander D., 2000, DISASTER PREV MANAG, V9, P89, DOI [10.1108/09653560010326969, DOI 10.1108/09653560010326969]
   [Anonymous], 2022, Shanghai Comprehensive Disaster Prevention and Mitigation Plan (20222035)
   [Anonymous], 2021, Technical Report on the Risk Assessment and Zoning Results of Natural Disasters in Shanghai
   Ayyub BM, 2014, RISK ANAL, V34, P340, DOI 10.1111/risa.12093
   Bali R., 2024, Asian J. Geogr. Res, V7, P85, DOI [10.9734/ajgr/2024/v7i1217, DOI 10.9734/AJGR/2024/V7I1217]
   Berkes F., 1994, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience, P1
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Boin A., 2007, J CCM, V15, P50, DOI DOI 10.1111/J.1468-5973.2007.00504.X
   Chen LNW, 2021, HEAD NECK-J SCI SPEC, V43, P1747, DOI [10.1145/3471274.3471275, 10.1002/hed.26627, 10.1109/GLOBECOM46510.2021.9685230]
   Chen RS, 2018, SUSTAIN DEV GOAL SER, P203, DOI 10.1007/978-3-319-56469-2_14
   Chen XS, 2023, ENVIRON SCI POLLUT R, V30, P65455, DOI 10.1007/s11356-023-26861-1
   Cimellaro GP, 2016, GEOTECH GEOL EARTHQ, V41, P1, DOI 10.1007/978-3-319-30656-8
   Cutter SL, 2006, ANN AM ACAD POLIT SS, V604, P102, DOI 10.1177/0002716205285515
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Drabek T.E., 2003, Disaster Prevention and Management, V12, P97, DOI [DOI 10.1108/09653560310474214, 10.1108/09653560310474214]
   Elassy M., 2024, Transp. Eng, V16, DOI [10.1016/j.treng.2024.100252, DOI 10.1016/J.TRENG.2024.100252]
   Etinay N, 2018, PROCEDIA ENGINEER, V212, P575, DOI 10.1016/j.proeng.2018.01.074
   Fang D., 2017, J. Civ. Eng, V50, P1
   Ford DN, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000779
   Fox-lent C., 2018, RESILIENCE ORIENTED
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gu D., 2019, Exposure and vulnerability to natural disasters for world's cities
   HALL AD, 1969, IEEE T SYST SCI CYB, VSSC5, P156, DOI 10.1109/TSSC.1969.300208
   Han WX, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13111118
   Heath R.L., 1997, Strategic issues management: organizations and public policy challenges
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang H., 2023, ENVIRON SYST DECIS, V43, P735, DOI [10.1007/s10669-023-09926-x, DOI 10.1007/s10669-023-09926-x]
   Huang H, 2023, J SAF SCI RESIL, V4, P30, DOI 10.1016/j.jnlssr.2022.10.003
   Hui Chun N.L., 2022, J. Nat. Disasters, V31, P49, DOI [10.13577/j.jnd.2022.0105, DOI 10.13577/J.JND.2022.0105]
   JENSEN RE, 1984, J MATH PSYCHOL, V28, P317, DOI 10.1016/0022-2496(84)90003-8
   Kennedy C, 2014, ECOL INDIC, V47, P7, DOI 10.1016/j.ecolind.2014.07.039
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Komendantova N, 2016, INT J DISASTER RESIL, V7, P114, DOI 10.1108/IJDRBE-03-2015-0013
   Kumareswaran K., 2023, Green Infrastructure and Urban Climate Resilience: An Introduction, P245
   Kunreuther H, 1996, J RISK UNCERTAINTY, V12, P171, DOI 10.1007/BF00055792
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Leung LC, 2000, EUR J OPER RES, V124, P102, DOI 10.1016/S0377-2217(99)00118-6
   Lewis D., 2005, Journal of Contingencies and Crisis Management, V13, P50, DOI [10.1111/j.1468-5973.2005.00456.x, DOI 10.1111/J.1468-5973.2005.00456.X]
   Lin MR, 2024, OPEN COMPUT SCI, V14, DOI 10.1515/comp-2024-0003
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   Lowe M, 2024, LOCAL ENVIRON, V29, P886, DOI 10.1080/13549839.2024.2318571
   Malalgoda C., 2015, International Journal of Disaster Resilience in the Built Environment, V6, P102, DOI DOI 10.1108/IJDRBE-10-2014-0071
   Mikhailov L, 2003, IEEE T SYST MAN CY C, V33, P33, DOI 10.1109/TSMCC.2003.809354
   Mizutori M, 2020, INT J DISAST RISK SC, V11, P147, DOI 10.1007/s13753-020-00261-2
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   Mu E, 2018, SPRINGER OPER RES, P7, DOI 10.1007/978-3-319-68369-0_2
   Murray V, 2012, J EPIDEMIOL COMMUN H, V66, P759, DOI 10.1136/jech-2012-201045
   Murtagh N, 2020, J CLEAN PROD, V268, DOI 10.1016/j.jclepro.2020.122264
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Orru K, 2022, DISASTERS, V46, P742, DOI 10.1111/disa.12481
   Peijun S., 2016, Insurance Theory and Practice, P69
   Pelling M., 2001, Environmental Hazards, V3, P49
   Perry RW, 2003, DISASTERS, V27, P336, DOI 10.1111/j.0361-3666.2003.00237.x
   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
   Plough A, 2013, AM J PUBLIC HEALTH, V103, P1190, DOI 10.2105/AJPH.2013.301268
   Pulwarty RS, 2014, WEATHER CLIM EXTREME, V3, P14, DOI 10.1010/j.wace.2014.03.005
   Qian S.X.G., 2017, J. Urban Plan, V1, P109
   Qiyu T., 2019, Tous Urbains, V27, P58, DOI [10.3917/tu.027.0058, DOI 10.3917/TU.027.0058]
   Rezvani SM, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13042223
   Rogova GL, 2005, 2005 7th International Conference on Information Fusion (FUSION), Vols 1 and 2, P938
   Saaty T.L., 2008, INT J SERV SCI, V1, P83, DOI [10.1504/IJSSCI.2008.017590, DOI 10.1504/IJSSCI.2008.017590]
   Sandoval V, 2023, INT J DISAST RISK SC, V14, P343, DOI 10.1007/s13753-023-00490-1
   Schneiderbauer S., 2004, REV DEFINITIONS, V21410, P40, DOI DOI 10.1007/978-3-540-75162-5_7
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Shi YJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11164285
   Su Y.-S., 2016, J. Manage. Sustain., V6, pp92, DOI [10.5539/jms.v6n1p92, DOI 10.5539/JMS.V6N1P92]
   Tariq H, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102358
   van Stralen D., 2021, Neonatol. Today, V16, P108, DOI [10.51362/neonatology.today/2021101610108115, DOI 10.51362/NEONATOLOGY.TODAY/2021101610108115]
   Veil SR, 2014, RISK ANAL, V34, P721, DOI 10.1111/risa.12130
   Vesely W.E., 1983, MEASURES RISK IMPORT
   Wang JJ, 2020, NAT HAZARDS, V104, P2003, DOI 10.1007/s11069-020-04259-3
   Wang TT, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15086770
   Waymer D, 2007, J APPL COMMUN RES, V35, P88, DOI 10.1080/00909880601065730
   Wisner B., 2015, Disaster Prevention, P44
   Wu Q, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102075
   Xiao C, 2021, LAND-BASEL, V10, DOI 10.3390/land10080871
   Xu JP, 2018, ENVIRON HAZARDS-UK, V17, P269, DOI 10.1080/17477891.2018.1500878
   Yang J, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811685
   Yu F, 2018, INT J DISAST RISK RE, V30, P244, DOI 10.1016/j.ijdrr.2018.04.012
   Yusta JM, 2011, ENERG POLICY, V39, P6100, DOI 10.1016/j.enpol.2011.07.010
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   Zhao LA, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112497
   Zhuang S., 2017, Urban Plan. J, V7, P11
NR 93
TC 0
Z9 0
U1 9
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2025
VL 17
IS 1
AR 248
DI 10.3390/su17010248
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 R8N0K
UT WOS:001393934600001
OA gold
DA 2025-04-22
ER

PT J
AU Sun, HH
   Zhen, F
   Xie, ZM
AF Sun, Honghu
   Zhen, Feng
   Xie, Zhimin
TI Urban resilience assessment based on contradiction between supply and
   demand of the daily activity-environment system: A case study on
   Nanjing, China
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Urban resilience; Contradiction between supply and demand; Daily
   activity-environment system; Big Data; Spatial characteristics
ID COMMUNITY RESILIENCE; FLOOD RESILIENCE; FRAMEWORK; SUSTAINABILITY;
   INDICATOR; INDEX
AB In addition to safety and risk issues, urban resilience research should focus more comprehensive and universal contradictions. Considering the main contradictions of Chinese urban development, and the connotation of urban resilience, a theoretical framework is constructed based on the contradiction between supply and demand of the daily activity-environment system. Furthermore, an assessment index system of urban resilience is also developed that considers both volume and quality of demand and supply and has a grade standard. Finally, utilizing multi-source geographic big data, Nanjing is taken as a case study, the spatial characteristics and optimization path of urban resilience are identified. The main conclusions are as follows: (1) The activity-environment system resilience presents a "center-periphery" sprawling spatial structure, and it is mainly at the level of "reluctant resilience" and "almost lack of resilience". (2) The evolution of the activity-environment system resilience is still absolutely volume driven, and the positive drive of relative quality is limited or even reversed. In addition, all the bilateral local spatial autocorrelations are generally represented as "center-periphery" separated spatial structures, but it is not always consistent with the overall trend. (3) For the governance of urban resilience, it is necessary to focus on common improvement and matching of absolute volume and relative quality in contents, orderly flow, accumulation and dispersion of supply and demand in ideas, and the strong support of new ideas and technologies in methods. (C) 2020 Elsevier B.V. All rights reserved.
C1 [Sun, Honghu; Zhen, Feng; Xie, Zhimin] Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China.
   [Sun, Honghu; Zhen, Feng; Xie, Zhimin] Nanjing Univ, Prov Engn Lab Smart City Design Simulat & Visuali, Nanjing 210093, Peoples R China.
C3 Nanjing University; Nanjing University
RP Zhen, F (corresponding author), Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China.
EM zhenfeng@nju.edu.cn
RI zhen, Feng/ABD-6136-2021
FU National Social Science Fund of China [20AZD040]; program B for
   Outstanding PhD candidate of Nanjing University [202002B103]
FX This research is supported by the National Social Science Fund of China
   (Grant No. 20AZD040) and the program B for Outstanding PhD candidate of
   Nanjing University (Grant No. 202002B103). I would like to thank my
   supervisor Prof. Feng Zhen for his careful and patient direction on this
   paper. I also extend heartful gratitude to the reviewers.
CR Abdrabo MA, 2015, URBAN CLIM, V14, P554, DOI 10.1016/j.uclim.2015.09.005
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Allan P., 2011, Journal of Landscape Architecture, V6, P34, DOI [10.1080/18626033.2011.9723453, DOI 10.1080/18626033.2011.9723453]
   Attoh-Okine NO, 2009, IEEE SYST J, V3, P147, DOI 10.1109/JSYST.2009.2019148
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Borie M, 2019, GLOBAL ENVIRON CHANG, V54, P203, DOI 10.1016/j.gloenvcha.2019.01.001
   Brown BB, 2009, HEALTH PLACE, V15, P1130, DOI 10.1016/j.healthplace.2009.06.008
   Brown C, 2018, ENVIRON DEV SUSTAIN, V20, P23, DOI 10.1007/s10668-016-9891-7
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chen Q, 2018, J CLEAN PROD, V203, P633, DOI 10.1016/j.jclepro.2018.08.316
   Cohen O, 2013, TECHNOL FORECAST SOC, V80, P1732, DOI 10.1016/j.techfore.2012.12.009
   Crowe PR, 2016, ENVIRON SCI POLICY, V62, P112, DOI 10.1016/j.envsci.2016.04.007
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   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
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li YF, 2012, J ENVIRON MANAGE, V98, P127, DOI 10.1016/j.jenvman.2011.12.025
   Liu YL, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101914
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   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
   Mehmood A, 2016, EUR PLAN STUD, V24, P407, DOI 10.1080/09654313.2015.1082980
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Sun HH, 2019, HABITAT INT, V88, DOI 10.1016/j.habitatint.2019.05.002
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   Walker B, 2004, ECOL SOC, V9
   Xi, 2017, FULL TEXT XI JINPING
   Zhang J, 2020, STRUCT CHANGE ECON D, V55, P1, DOI 10.1016/j.strueco.2020.06.001
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zhao SM, 2017, PHYSICA A, V478, P143, DOI 10.1016/j.physa.2017.02.069
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 41
TC 17
Z9 17
U1 14
U2 125
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 15
PY 2021
VL 765
AR 144567
DI 10.1016/j.scitotenv.2020.144567
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA QE5FL
UT WOS:000616232300138
PM 33385813
DA 2025-04-22
ER

PT J
AU Jiao, LD
   Han, BW
   Tan, QL
   Zhang, Y
   Huo, XS
   Wu, L
   Wu, Y
AF Jiao, Liudan
   Han, Bowei
   Tan, Qilin
   Zhang, Yu
   Huo, Xiaosen
   Wu, Liu
   Wu, Ya
TI An Improved DPSIR-DEA Assessment Model for Urban Resilience: A Case
   Study of 105 Large Cities in China
SO LAND
LA English
DT Article
DE urban resilience; DPSIR-DEA model; assessment model; Dagum Gini
   coefficient
ID SPATIOTEMPORAL EVOLUTION; PERFORMANCE; FRAMEWORK
AB Urban development is facing increasingly complex disturbances. Assessing large cities' urban resilience is important for improving their ability to withstand disturbances and promoting sustainable development. Therefore, this paper establishes an improved assessment model for urban resilience based on the driving force-pressure-state-impact-response (DPSIR) and data envelopment analysis (DEA) model. The Malmquist index, Dagum Gini coefficient, and Markov chain were sequentially used for spatiotemporal evolution and differential resilience analysis. Then, 105 large Chinese cities were selected as case studies. The results indicate their overall resilience is relatively high; each year's average resilience efficiency can achieve DEA effectiveness. The distribution pattern of resilience level presents a healthy olive-shaped structure. However, there is also a significant difference between the two poles. During the research period, the combined effect of technological efficiency improvement and technological progress resulted in the overall resilience slowly improving, and this process was more driven by technological innovation. At the same time, the overall regional difference in resilience also shows a narrowing trend, and the current spatial differences mainly come from the difference within subregions and super-density. In future transfer predictions, the resilience of large cities will show good stability with a higher probability of maintaining stability; if the resilience undergoes a transition, the probability of an increase will be higher than a decrease. Based on the life cycle process of resilience, this study selects indicators that can characterize the level of resilience according to the DPSIR model, which comprehensively reflects the characteristics of urban resilience. This study's results can provide particular reference values for urban disaster response emergency planning and sustainable development construction, and it also provides new ideas for the assessment research of urban resilience.
C1 [Jiao, Liudan; Han, Bowei; Tan, Qilin; Zhang, Yu; Huo, Xiaosen; Wu, Liu] Chongqing Jiaotong Univ, Sch Econ & Management, Chongqing 400074, Peoples R China.
   [Wu, Ya] Southwest Univ, Coll Resources & Environm, Chongqing 400715, Peoples R China.
C3 Chongqing Jiaotong University; Southwest University - China
RP Jiao, LD (corresponding author), Chongqing Jiaotong Univ, Sch Econ & Management, Chongqing 400074, Peoples R China.
EM jld@cqjtu.edu.cn; hbw@mails.cqjtu.edu.cn; tanqilin@mails.cqjtu.edu.cn;
   yuzhang@cqjtu.edu.cn; huoxiaosen@cqjtu.edu.cn;
   990202200030@cqjtu.edu.cn; mswuya@swu.edu.cn
RI Zhang, Yu/GOK-0090-2022; Jiao, Liudan/HIK-0853-2022
OI Huo, Xiaosen/0000-0001-7989-2205; ZHANG, Yu/0000-0002-1851-9033; Han,
   bowei/0009-0001-7925-2942
FU National Social Science Foundation of China; Chongqing Education
   Commission Humanities and Social Science Research Project [23SKGH137];
   National Natural Science Foundation of China [71901043, 72004187,
   72204033]; Natural Science Foundation of Chongqing
   [CSTB2022NSCQ-MSX0390]; Chongqing Graduate Research Innovation Project
   [CYS240506];  [23XJY018]
FX This research was funded by the National Social Science Foundation of
   China (No. 23XJY018), the Chongqing Education Commission Humanities and
   Social Science Research Project (No. 23SKGH137), the National Natural
   Science Foundation of China (Grant No. 71901043, No. 72004187 and No.
   72204033), the Natural Science Foundation of Chongqing (Grant No.
   CSTB2022NSCQ-MSX0390) and the Chongqing Graduate Research Innovation
   Project (No. CYS240506).
CR Chen GN, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062356
   Chen JH, 2023, ISPRS INT J GEO-INF, V12, DOI 10.3390/ijgi12100391
   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 X, 2023, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.1056054
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   Cheng SL, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191710612
   Duan JL, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14080883
   Gavari-Starkie E, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18115794
   Hammond M, 2018, URBAN WATER J, V15, P427, DOI 10.1080/1573062X.2018.1508598
   Hu CQ, 2023, FRONT ECOL EVOL, V11, DOI 10.3389/fevo.2023.1202898
   Hu QS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041272
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Jiao LD, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.950562
   Kazuva E, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15081692
   Koko AF, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410452
   Li G, 2021, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.631911
   Li HL, 2021, SYMMETRY-BASEL, V13, DOI 10.3390/sym13112214
   Li XG, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2022.109849
   Li XC, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151310112
   Li ZJ, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17228702
   Ling TY, 2021, ENVIRON DEV SUSTAIN, V23, P13016, DOI 10.1007/s10668-020-01197-9
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   Liu YJ, 2022, ENVIRON SCI POLLUT R, V29, P63674, DOI 10.1007/s11356-022-20138-9
   Lu YY, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174544
   Mansour S, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15030601
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Meerow S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070701
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mu XF, 2022, J GEOGR SCI, V32, P1766, DOI 10.1007/s11442-022-2022-5
   Qiao H, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010038
   Sarkki S, 2017, CLIM RES, V73, P7, DOI 10.3354/cr01437
   Shao YW, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15107783
   Shi Z, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17134792
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Tang XW, 2024, ENERGIES, V17, DOI 10.3390/en17010157
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Vargas-Hernández JG, 2021, ENVIRON DEV SUSTAIN, V23, P1335, DOI 10.1007/s10668-020-00623-2
   Wang KW, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104783
   Wang SJ, 2020, J GEOGR SCI, V30, P757, DOI 10.1007/s11442-020-1754-3
   Wang S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090958
   Xu H, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17020524
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang GM, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110777
   Yang JA, 2019, J CLEAN PROD, V231, P1258, DOI 10.1016/j.jclepro.2019.05.330
   Yin J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020434
   You XT, 2022, NAT HAZARDS, V113, P1751, DOI 10.1007/s11069-022-05368-x
   Zhang H, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14092010
   Zhang JY, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13071695
   Zhang MM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224442
   Zhang XW, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2022.101402
   Zhang Y, 2021, ENVIRON IMPACT ASSES, V89, DOI 10.1016/j.eiar.2021.106580
   Zhang Y, 2023, ECOL INDIC, V150, DOI 10.1016/j.ecolind.2023.110230
   Zhang Z, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071872
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
   Zheng ZL, 2021, ENERGY REP, V7, P397, DOI 10.1016/j.egyr.2021.10.020
   Zhong QK, 2023, GLOBALIZATION HEALTH, V19, DOI 10.1186/s12992-023-00976-z
   Zhou RX, 2022, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.790349
   Zhou R, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1133595
NR 61
TC 1
Z9 1
U1 37
U2 53
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD AUG
PY 2024
VL 13
IS 8
AR 1133
DI 10.3390/land13081133
PG 23
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA E8E4V
UT WOS:001305277800001
OA gold
DA 2025-04-22
ER

PT J
AU Liu, WT
AF Liu, Wai Ting
TI The application of resilience assessment-resilience of what, to what,
   with what? A case study based on Caledon, Ontario, Canada
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE conflicting interests; resilience assessment; resilience assets and
   threats; urban growth
ID COMPLEXITY; SYSTEMS
AB Resilience assessment can be used to determine major issues, stakeholders, vulnerabilities, and opportunities of a social-ecological system to enhance resilience. A resilience assessment was conducted on the Town of Caledon, Ontario between 2010 and 2011 using the Resilience Assessment Workbook for Practitioners (version 1). The assessment explores the following three questions: Resilience of what? Resilience to what? Resilience with what? The answer to the first question describes the history, main issues, and stakeholders of the focal system. The answers to the remaining two questions describe potential resilience threats and assets, respectively. The assessment results include (1) identified resilience threats and assets of Caledon as a social-ecological system in the context of urban growth; (2) a cross-scalar study of Caledon in its ecological, social, and economic domains; (3) interviews with 26 community members on the topics of urban growth and resilience; and (4) recommendations for Caledon to enhance its resilience in face of urban growth pressures. The results reveal the significance of continual learning, engaged citizenship, and cross-scalar collaboration between governmental bodies. The assessment results also highlight some particular features that would enhance the resilience of Caledon, such as nurturing the health of agroecosystems, developing trade-off rules for conflict resolution, and treating low-impact urban development as an opportunity. This research provides a case study of resilience assessment of a community that undergoes a rural-urban divide. Emerging themes of resilience are identified. Research limitations and suggestions are presented at the end of this paper.
C1 Univ Waterloo, Alumna Environm & Resource Studies Grad Program, Waterloo, ON N2L 3G1, Canada.
C3 University of Waterloo
RP Liu, WT (corresponding author), Univ Waterloo, Alumna Environm & Resource Studies Grad Program, Waterloo, ON N2L 3G1, Canada.
CR Alessa L, 2008, ENVIRON MANAGE, V42, P523, DOI 10.1007/s00267-008-9152-0
   Algonquin Associates, 1993, TECHN APP
   Algonquin Associates Michael McClelland Designs and Commonwealth Historic Resource Management Ltd, 1994, BACKGR STUD
   Anderies JM, 2006, ECOL SOC, V11
   [Anonymous], Principles of Environmental Impact Assessment Best Practice
   [Anonymous], 2010, Interim decision delivered by M.C. Denhez and order of the Board
   [Anonymous], 2002, Community Development Plan for the West End District, VI
   [Anonymous], THESIS YORK U TORONT
   [Anonymous], 2005, Sustainability assessment: criteria, process and applications
   [Anonymous], 2002, RESILIENCE SUSTAINAB
   [Anonymous], 2013, Population by year, by province and territory
   [Anonymous], THESIS U WATERLOO WA
   Armitage Derik., 2005, Adaptive Capacity and Community-Based Natural Resource Management
   Baxter J., 1999, Geografiska Annaler, V81, P91, DOI DOI 10.1111/J.0435-3684.1999.00051.X
   Caledon Environmental Advisory Committee (CEAC), 2004, CEAC REP COMM PROV D
   Caledon Environmental Advisory Committee (CEAC), 2006, 200602 CEAC
   Centre For Spatial Economics (C4SE), 2009, CAO2009001 C4SE
   Chambers C, 2007, REG STUD, V41, P327, DOI 10.1080/00343400600928319
   Chen SC, 2008, ENG GEOL, V98, P86, DOI 10.1016/j.enggeo.2008.01.008
   Community Resilience Project Team (CRPT), 1999, MAKING WAVES, V10, P10
   Credit Valley Conservation (CVC), 2007, CRED RIV WAT MAN STR
   Credit Valley Conservation (CVC), 2005, CRED VALL CONS WAT R
   Credit Valley Conservation (CVC), 2011, CRED VALL CONS PRES
   Credit Valley Conservation (CVC), 2012, REST PROJ E CRED INS
   Diamond M., 2002, Natural Heritage Systems in Urbanizing Settings
   Dore R., 2004, THESIS WILFRID LAURI
   Einstein N., 2005, Oak Ridges Moraine map. Wikimedia Commons
   Fisher J.R., 1993, Environments, V22, P100
   Folke Carl, 2003, NAVIGATING SOCIAL EC, P352, DOI [10.1017/cbo9780511541957.020, DOI 10.1017/CBO9780511541957.020]
   Fontana A., 2000, HDB QUALITATIVE RES, V2nd, P645
   Gibson R., 2006, Impact Assessment and Project Appraisal, V24, P170, DOI DOI 10.3152/147154606781765147
   Gliessman S.R., 1998, AGROECOLOGY ECOLOGY
   Gombu P., 2008, TORONTO STAR    0615
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Gunderson Lance H., 1995, BARRIERS BRIDGES REN
   Hanna KS, 2007, ENVIRON MANAGE, V40, P339, DOI 10.1007/s00267-006-0225-7
   Historica Research Ltd. Algonquin Associates Michael McClelland Designs and Commonwealth Historic Resource Management Ltd, 1994, CULT HER RES ASS STU
   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
   Igor P. E, 2002, THESIS CARLETON U OT
   Johnson S., 2006, THESIS CARLETON U OT
   Lee K.N., 1993, COMPASS GYROSCOPE
   Lee-Macaraig C., 2007, ELECT GREEN J, V1, P25
   Lei W., 2009, THESIS YORK U TORONT
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Lone S., 2008, ALTERN J, V34, P3
   Mackenzie B. F., 2008, THESIS U WATERLOO WA
   Markvart T., 2009, THESIS U WATERLOO WA
   MATLACK GR, 1993, ENVIRON MANAGE, V17, P829, DOI 10.1007/BF02393903
   Ministry of Energy and Infrastructure (MOEI), 2010, PLAC GROW
   Ministry of Municipal Affairs and Housing (MMAH), 2005, GREENB PLAN 2005
   Ministry of Natural Resources (MNR), 1994, BACKGR STUD, V1
   Ministry of Public Infrastructure Renewal (MPIR), 2006, PLAC GROW BETT CHOIC
   Morrison-Saunders A., 2011, 31 ANN C INT ASS IMP
   Niagara Escarpment Commission, 2006, ONT NIAG ESC
   Niagara Escarpment Commission, 2005, NIAG ESC PLANN DEV A
   North-South Environmental Inc. Dougan and Associates and Sorensen Gravely Lowes, 2009, PEEL CAL SIGN WOODL
   Oak Ridges Moraine Foundation (ORMF), 2009, SUMM OAK RIDG MOR FD
   Oak Ridges Moraine Foundation (ORMF), 2003, OAK RIDG MOR FDN STR
   Oak Ridges Moraine Land Trust, 2009, MON MOR
   Ontario Municipal Board (OMB), 2011, E STAT CAS ROPA 24 S
   Peel Agricultural Advisory Working Group (PAAWG), 2012, REP 2011 ACT REV PEE
   Peel Agricultural Advisory Working Group (PAAWG), 2011, REP 2010 ACC 2011 WO
   Pope J, 2004, ENVIRON IMPACT ASSES, V24, P595, DOI 10.1016/j.eiar.2004.03.001
   Province of Ontario, 2006, OAK RIDG MOR CONS AC
   Purell M, 2009, REV TOWN CALEDONS OF
   Region of Peel, 2014, REV OFFICIAL PLAN
   Region of Peel, 2013, REGIONAL BOUNDARIES
   Region of Peel, 2010, WHAT IS OFFICIAL PLA
   Region of Peel, 1998, LAND REPORT
   Region of Peel, 2010, PEEL REGION OFFICAL
   Resilience Alliance (RA), 2007, ASS RES SOC SYST WOR
   Ross Nicola., 1999, Caledon
   Save the Oak Ridges Moraine Coalition (STORM), 2007, AB STORM
   Slattery M., 2010, HEADWATERS COMMUNITI
   Sparling B., 2008, STAT PROFILE AGR CRE
   [Toronto and Region Conservation Authority (TRCA) TRCA], 2007, PLANN DEV PROC MA
   [Toronto and Region Conservation Authority (TRCA) TRCA], 2008, HUMB RIV WAT PLAN
   Town of Caledon, 2009, TOWN CAL PROGR REP
   Town of Caledon, 2009, TOWN CAL DRAFT PROV
   Town of Caledon, 2009, PROV POL CONF PPC EX
   Town of Caledon, 2013, DEM GROWTH FOR
   Town of Caledon, 2014, TOWN CAL OFF PLAN
   Town of Caledon, 2010, TOWN CAL PROV POL CO
   Town of Caledon, 2008, OFF PLAN
   Town of Caledon, 2007, 200756 TOWN CAL
   *TRCA, 2008, HUMB RIV STAT WAT RE
   University of Queensland and University of Southern Queensland, 2008, BUILD RES RUR COMM T
   Walker B, 2010, ENVIRON RESOUR ECON, V45, P183, DOI 10.1007/s10640-009-9311-7
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
NR 90
TC 15
Z9 21
U1 5
U2 65
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 2014
VL 19
IS 4
AR 21
DI 10.5751/ES-06843-190421
PG 25
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AY2TA
UT WOS:000347440700013
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Hong, T
   Wang, B
   Li, LL
AF Hong, Tao
   Wang, Bing
   Li, Lulu
TI The Coupling Relationship between Urban Resilience Level and
   Urbanization Level in Hefei
SO MATHEMATICAL PROBLEMS IN ENGINEERING
LA English
DT Article
ID SYSTEMS
AB Urban resilience and urbanization have been researched wildly by urban researchers. The coupling relationship between the level of urban resilience and urbanization is a considerable reference to assess the quality of urban development. Based on the correlation of objective index data, it theoretically explains whether the urban resilience level is coupled with the urbanization level and the degree of coupling, providing advice and wisdom for the future high-quality urban development of Hefei. Objective. To explore whether there is coupling between the urbanization level and the urban resilience level and to explore what extent of the coupling is. Research Methods. The dimensionless method was mainly used to standardize the original statistical data, the entropy method can be chosen to obtain the weight of the indexes of urbanization level and urban resilience level, and the coupling coordination model was chosen to study the degree of coupling coordination. Research conclusions. From 2011 to 2013, the coupling coordinate on degree was low. The coupling coordination level of urbanization and urban resilience was moderately unbalanced in 2011, mild disorder in 2012, and primary coordination in 2013. However, in 2014 and 2015, the situation improved a lot, and the coordination degree was intermediate coordination. From 2016 to 2019, the coupling coordination degree was in the stage of advanced coordination.
C1 [Hong, Tao; Wang, Bing; Li, Lulu] Anhui Jianzhu Univ, Sch Architecture & Planning, Hefei 230601, Peoples R China.
C3 Anhui Jianzhu University
RP Hong, T (corresponding author), Anhui Jianzhu Univ, Sch Architecture & Planning, Hefei 230601, Peoples R China.
EM hongtao79@ahjzu.edu.cn; wangbing9230@ahjzu.edu.cn;
   20203302009@ahjzu.edu.cn
OI Hong, Tao/0000-0002-7708-8528
FU Scientific Research Program of Anhui Jianzhu University [JY2021-C-026]
FX AcknowledgmentsThis study was supported by the Scientific Research
   Program of Anhui Jianzhu University, No. JY2021-C-026.
CR [鲍超 Bao Chao], 2014, [地理学报, Acta Geographica Sinica], V69, P1799
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   [陈晓红 Chen Xiaohong], 2020, [地理科学, Scientia Geographica Sinica], V40, P2000
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Han BL, 2015, ECOL MODEL, V318, P217, DOI 10.1016/j.ecolmodel.2014.12.015
   Han BL, 2014, ECOL INDIC, V47, P128, DOI 10.1016/j.ecolind.2014.08.002
   [贺三维 He Sanwei], 2018, [经济地理, Economic Geography], V38, P95
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jiao HF, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0252331
   Liu Y., 2020, APPL MECH MAT, V24, P977
   Lu YW, 2021, HUM ECOL RISK ASSESS, V27, P921, DOI 10.1080/10807039.2020.1788918
   Ludovisi A, 2014, ECOL INDIC, V36, P617, DOI 10.1016/j.ecolind.2013.09.020
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mehmood A, 2016, EUR PLAN STUD, V24, P407, DOI 10.1080/09654313.2015.1082980
   Nie R, 2012, ADV MATER RES-SWITZ, V368-373, P3388, DOI 10.4028/www.scientific.net/AMR.368-373.3388
   O'Hare P, 2013, PLAN PRACT RES, V28, P275, DOI 10.1080/02697459.2013.787721
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Stumpp EM, 2013, CITIES, V32, P164, DOI 10.1016/j.cities.2013.01.003
   Tong J.X., 2019, Shanghai Economy, V1, P51
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   [王成 Wang Cheng], 2018, [地理研究, Geographical Research], V37, P1100
   [王少剑 Wang Shaojian], 2021, [地理学报, Acta Geographica Sinica], V76, P973
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   [修春亮 Xiu Chunliang], 2018, [地理学报, Acta Geographica Sinica], V73, P2315
   Yan X, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236568
   Zhang H.Y., 2019, STAT DECIS, V35, P86, DOI DOI 10.13546/J.CNKI.TJYJC.2019.11.020
   Zhang Y, 2006, ECOL MODEL, V197, P1, DOI 10.1016/j.ecolmodel.2006.02.032
   [周倩 Zhou Qian], 2020, [水土保持研究, Research of Soil and Water Conservation], V27, P286
   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]
NR 32
TC 15
Z9 15
U1 4
U2 98
PU HINDAWI LTD
PI LONDON
PA ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND
SN 1024-123X
EI 1563-5147
J9 MATH PROBL ENG
JI Math. Probl. Eng.
PD JAN 21
PY 2022
VL 2022
AR 7339005
DI 10.1155/2022/7339005
PG 8
WC Engineering, Multidisciplinary; Mathematics, Interdisciplinary
   Applications
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Mathematics
GA ZP3SL
UT WOS:000766345200004
OA gold
DA 2025-04-22
ER

PT J
AU Tian, JF
AF Tian, Jiefang
TI Mining city resilience research
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MUNICIPAL ENGINEER
LA English
DT Article
DE disaster engineering; environment; infrastructure planning
AB The economic development and increasing population have intensified the demand for mineral products and have led to environmental disasters in mining cities around the world. This paper discusses environmental risks in mining cities by analysing the current situation of environmental disasters that occur at home and abroad. The study draws on the theory of urban resilience and analyses the influencing factors of disastrous occurrence in mining areas. By putting forward the resilience evaluation index system this paper aims to improve the cities' ability to cope with major shocks and chronic stress, and to enhance urban resistance and resilience. The study of urban resilience capacity against uncertain risks involves ecological and engineering resilience, and economic and social resilience. With reference to the statistics of Tangshan city, this paper conducts a comprehensive evaluation, using the cluster analysis method, to calculate the degree of urban resilience and resilience index. The paper also attempts to put forward optimisation statistics for greater capacity of resilience to be achieved in the future urban development process, while providing a basis for improving the mining cities' capability to resist disasters and maintain sustainable development in those places.
C1 [Tian, Jiefang] North China Univ Sci & Technol, Tangshan, Peoples R China.
C3 North China University of Science & Technology
RP Tian, JF (corresponding author), North China Univ Sci & Technol, Tangshan, Peoples R China.
EM jiefangtian@sina.com
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ah Ern J, 2011, LANDSCAPE URBAN PLAN, V100, P341
   Blaikie PiersHarold Brookfield., 1987, LAND DEGRADATION SOC
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Jian L, 2003, RESOURCE EC, V6, P17
   Levin S., 1998, Environment and Development Economics, V3, P221, DOI [10.1017/s1355770x98240125, DOI 10.1017/S1355770X98240125]
   RA (Resilience Alliance), 2007, RES PROSP URB RES RE
   Shandong Zhaojin Group Co. Ltd., 2004, MIN ACC AN SYST SAF
   Sifeng L, 2014, GREY SYSTEM THEORY I
   Wang S, 2005, URBAN DISASTER EMERG
   Wilbanks T.J., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P957, DOI DOI 10.1007/S11027-007-9108-3
   Xue D, 2012, MATH PRACTICE COGNIT, V2012, P93
   Yin X., 2003, MINERAL PROTECTION U, V4, P37
NR 13
TC 1
Z9 1
U1 6
U2 41
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 0965-0903
EI 1751-7699
J9 P I CIVIL ENG-MUNIC
JI Proc. Inst. Civil Eng.-Munic. Eng.
PD DEC
PY 2021
VL 174
IS 4
BP 192
EP 200
DI 10.1680/jmuen.18.00038
PG 9
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA XT1GH
UT WOS:000733343400002
DA 2025-04-22
ER

PT J
AU Feng, XH
   Zeng, FS
   Loo, BPY
   Zhong, YX
AF Feng, Xinghua
   Zeng, Fansheng
   Loo, Becky P. Y.
   Zhong, Yexi
TI The evolution of urban ecological resilience: An evaluation framework
   based on vulnerability, sensitivity and self-organization
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban ecological resilience; Landscape pattern; People-environment
   relationship; Spatiotemporal heterogeneity; Urban resilience strategy
ID LANDSCAPE PATTERN; ECOSYSTEM RESILIENCE; ADAPTIVE CYCLE; URBANIZATION;
   CITIES; HEALTH; CITY
AB Ecological resilience assessment has become a key link in urban sustainable governance. This study introduces a new evaluation framework to inform policy-making and practical applications. Based on the structural and functional dimensions of landscape patterns, it integrates the vulnerability, sensitivity and self-organization of resilience to point to desirable directions of ecological resilience. A composite ecological resilience index is compiled based on six indices of landscape diversity, landscape disturbance, source-sink patch distance, habitat quality, minimum cumulative resistance, and landscape restoration. The framework is particularly applicable to cities located in ecologically sensitive areas. Hence, Nanchang City, China was selected as a case study. Using 1km2 hexagonal grids, the framework is applied to map spatiotemporal changes and to analyze various natural and anthropogenic driving forces of ecological resilience in Nanchang from 2000 to 2020. Research findings confirm the feasibility and value of the urban ecological resilience analysis framework. They also highlight the advantages of the framework in revealing spatially dynamic processes and ecological resilience contributing factors, making it a valuable and practical tool for sustainable urban planning and refined management decisionmaking.
C1 [Feng, Xinghua; Zeng, Fansheng; Loo, Becky P. Y.; Zhong, Yexi] Jiangxi Normal Univ, Sch Geog & Environm, Nanchang 330022, Peoples R China.
   [Loo, Becky P. Y.] Univ Hong Kong, Dept Geog, Room 10-34,10-F Jockey Club Tower Pokfulam Rd, Hong Kong, Peoples R China.
C3 Jiangxi Normal University; University of Hong Kong
RP Loo, BPY (corresponding author), Univ Hong Kong, Dept Geog, Room 10-34,10-F Jockey Club Tower Pokfulam Rd, Hong Kong, Peoples R China.
EM bpyloo@hku.hk
RI Loo, Becky/O-7394-2018
OI Loo, Becky/0000-0003-0822-5354
FU National Natural Science Foundation of China [42001189, 42361050]
FX This work was supported by National Natural Science Foundation of China
   (Grant number 42001189 & 42361050) . Xinghua FENG is the grant holder/PI
   of 42001189. Yexi ZHONG is the grant holder/PI of 42361050. The authors
   would also like to express their gratitude for the Ministry of
   Education, China and Jiangxi Normal University for the Changjiang Chair
   Professorship of the corresponding author.
CR Acuti D, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102608
   Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Bai LM, 2019, HABITAT INT, V93, DOI 10.1016/j.habitatint.2019.102042
   Bao ZC, 2022, ECOL INFORM, V72, DOI 10.1016/j.ecoinf.2022.101889
   Boori MS, 2021, J ENVIRON MANAGE, V285, DOI 10.1016/j.jenvman.2021.112138
   Botequilha-Leitao A, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102089
   Brand F, 2009, ECOL ECON, V68, P605, DOI 10.1016/j.ecolecon.2008.09.013
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Chen A, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108230
   Cheng YQ, 2023, LAND-BASEL, V12, DOI 10.3390/land12040895
   Cheshmehzangi A, 2018, CITIES, V74, P64, DOI 10.1016/j.cities.2017.11.004
   Ciani F., 2016, Regions Magazine, V302, P23, DOI [10.1080/13673882.2016.11742705, DOI 10.1080/13673882.2016.11742705]
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   Dadashpoor H, 2019, SCI TOTAL ENVIRON, V655, P707, DOI 10.1016/j.scitotenv.2018.11.267
   Dai L, 2021, SCI TOTAL ENVIRON, V754, DOI 10.1016/j.scitotenv.2020.141868
   Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003
   Feng XH, 2022, LAND-BASEL, V11, DOI 10.3390/land11060898
   Feng XH, 2021, LAND-BASEL, V10, DOI 10.3390/land10121305
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gunderson L, 2010, ECOL SOC, V15
   Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0
   [韩鑫 Han Xin], 2021, [生态学报, Acta Ecologica Sinica], V41, P6451
   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
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hu H, 2024, ENVIRON IMPACT ASSES, V106, DOI 10.1016/j.eiar.2024.107540
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jia HF, 2017, FRONT ENV SCI ENG, V11, DOI 10.1007/s11783-017-0984-9
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   KRUMMEL JR, 1987, OIKOS, V48, P321, DOI 10.2307/3565520
   Lee CC, 2024, J CLEAN PROD, V443, DOI 10.1016/j.jclepro.2024.141082
   Lee H, 2021, LANDSC ECOL ENG, V17, P427, DOI 10.1007/s11355-021-00458-7
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Liao ZJ, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-33342-5
   Liu B, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109105
   [刘明华 LIU Minghua], 2006, [地理研究, Geographical Research], V25, P930
   Liu ZM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102964
   Loo BPY, 2024, ADV SUSTAIN SYST, V8, DOI 10.1002/adsu.202300401
   Loo BPY, 2022, INNOVATION-AMSTERDAM, V3, DOI 10.1016/j.xinn.2022.100339
   Luo FH, 2018, LANDSCAPE URBAN PLAN, V180, P125, DOI 10.1016/j.landurbplan.2018.08.014
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   McGarigal K, 2018, LANDSCAPE ECOL, V33, P1029, DOI 10.1007/s10980-018-0653-9
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Peng J, 2015, LANDSCAPE URBAN PLAN, V143, P56, DOI 10.1016/j.landurbplan.2015.06.007
   Perz SG, 2013, ECOL MODEL, V263, P174, DOI 10.1016/j.ecolmodel.2013.04.024
   Salvia R, 2015, SUSTAINABILITY-BASEL, V7, P11114, DOI 10.3390/su70811114
   Sasaki T, 2015, ECOL INDIC, V57, P395, DOI 10.1016/j.ecolind.2015.05.019
   Seto KC, 2010, ANNU REV ENV RESOUR, V35, P167, DOI 10.1146/annurev-environ-100809-125336
   Shamsipour A, 2024, SUSTAIN CITIES SOC, V103, DOI 10.1016/j.scs.2024.105252
   Sharma S, 2023, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-023-03411-w
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Spathelf P, 2011, LOCAL SUSTAIN, V1, P389, DOI 10.1007/978-94-007-0785-6_39
   Steiner F, 2014, LANDSCAPE URBAN PLAN, V125, P304, DOI 10.1016/j.landurbplan.2014.01.023
   Su SL, 2014, ECOL INDIC, V40, P10, DOI 10.1016/j.ecolind.2013.12.013
   TURNER MG, 1990, LANDSCAPE ECOL, V4, P21, DOI 10.1007/BF02573948
   Viñals E, 2023, SCI TOTAL ENVIRON, V869, DOI 10.1016/j.scitotenv.2023.161763
   von Döhren P, 2019, ECOSYST SERV, V40, DOI 10.1016/j.ecoser.2019.101031
   Walker B, 2004, ECOL SOC, V9
   Wang JF, 2024, FRONT ENV SCI-SWITZ, V12, DOI 10.3389/fenvs.2024.1385604
   Wang KW, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104783
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   Wang YX, 2019, CITIES, V86, P167, DOI 10.1016/j.cities.2018.09.016
   Weng YC, 2007, LANDSCAPE URBAN PLAN, V81, P341, DOI 10.1016/j.landurbplan.2007.01.009
   Woods DD, 2015, RELIAB ENG SYST SAFE, V141, P5, DOI 10.1016/j.ress.2015.03.018
   Xia CH, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104223
   Xie XL, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065462
   Xiong SW, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112284
   Xu CY, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2023.111447
   Yu SY, 2023, LANDSCAPE URBAN PLAN, V230, DOI 10.1016/j.landurbplan.2022.104605
   Zampieri M, 2021, ECOSPHERE, V12, DOI 10.1002/ecs2.3375
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
NR 76
TC 4
Z9 4
U1 133
U2 133
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 DEC 1
PY 2024
VL 116
AR 105933
DI 10.1016/j.scs.2024.105933
EA OCT 2024
PG 14
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 L0A9P
UT WOS:001347448000001
DA 2025-04-22
ER

PT J
AU Xu, WP
   Zhong, M
   Hong, Y
   Lin, KR
AF Xu, Wenping
   Zhong, Ming
   Hong, Yang
   Lin, Kairong
TI Enhancing community resilience to urban floods with a network
   structuring model
SO SAFETY SCIENCE
LA English
DT Article
DE Community resilience; Network structuring model; Indicator
   identification; Multi-level; Urban floods
ID SOCIAL VULNERABILITY; RISK MITIGATION; DEMATEL; INDICATORS; EXPOSURE;
   RIVER
AB A multiple efforts are proposed to reduce the losses in urban floods. Community resilience is a key index for describing the response of human habitat systems against hazards, and enhancing community resilience is one measure for mitigating flooding risk. With the purpose of identifying and determining the priority of resilience indicators to urban floods, a network structuring model of community resilience was developed in this study. Neighborhood, college, and village communities in Nanning City, China, were investigated, Results show that: (i) the neighborhood community (with a total average score of 2.13) has the largest community resilience to urban flood, followed by the college (1.8) and village communities (0.91); (ii) based on the global ranking of resilience indicators, vulnerable population (S5) is identified as the most important; (iii) a four-level evaluation network of community resilience is constructed, and the priorities of resilience indicators in three communities are calculated based on the interactive network relationship among indicators. The proposed framework in this study contributes to the interdisciplinary understanding of community resilience to urban floods, and is expected to be extended for risk reduction in other natural hazards.
C1 [Xu, Wenping] Wuhan Univ Sci & Technol, Evergrande Sch Management, Wuhan 430065, Peoples R China.
   [Zhong, Ming; Lin, Kairong] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China.
   [Hong, Yang] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73072 USA.
   [Lin, Kairong] Sun Yat Sen Univ, Sch Civil Engn, Guangzhou 510275, Peoples R China.
C3 Wuhan University of Science & Technology; Sun Yat Sen University;
   University of Oklahoma System; University of Oklahoma - Norman; Sun Yat
   Sen University
RP Zhong, M (corresponding author), Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China.
EM xuwenping@wust.edu.cn; zhongm37@mail.sysu.edu.cn; yanghong@ou.edu;
   linkr@mail.sysu.edu.cn
OI xu, wenping/0000-0003-4474-1583
FU National Natural Science Youth Foundation of China [51709286, 71503194];
   Youth Foundation of Education Department of Hubei Province, China
   [17Q043]; Centre for Service Science and Engineering Foundation of WUST,
   China [CSSE2017GA02]; Outstanding Youth Science Foundation of National
   Natural Science Foundation of China [51822908]; National Natural Science
   Foundation of China [51779279]; Natural Science Youth Foundation of
   Guangdong Province, China [2017A030310065]
FX The authors appreciate the comments from reviewers which greatly
   improved this work, and would like to thank the suggestions from Kash
   Baker at University of Oklahoma, and also the fieldwork conducted by
   graduate students at Sun Yat-sen University. The research was
   financially supported by the National Natural Science Youth Foundation
   of China (Grant Nos. 51709286 and 71503194), the Youth Foundation of
   Education Department of Hubei Province, China (Grant No. 17Q043), the
   Centre for Service Science and Engineering Foundation of WUST, China
   (Grant No. CSSE2017GA02), the Outstanding Youth Science Foundation of
   National Natural Science Foundation of China (Grant No. 51822908), the
   National Natural Science Foundation of China (Grant No. 51779279), and
   the Natural Science Youth Foundation of Guangdong Province, China (Grant
   No. 2017A030310065).
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Akyuz E, 2017, SAFETY SCI, V92, P17, DOI 10.1016/j.ssci.2016.09.010
   Akyuz E, 2015, SAFETY SCI, V79, P268, DOI 10.1016/j.ssci.2015.06.019
   Aldrich DP, 2015, SOC SCI MED, V124, P66, DOI 10.1016/j.socscimed.2014.11.025
   Alshehri SA, 2015, NAT HAZARDS, V75, P2221, DOI 10.1007/s11069-014-1423-x
   [Anonymous], [No title captured]
   [Anonymous], Sustainable
   [Anonymous], 2018, ALASKA EC TRENDS
   Bavafa A, 2018, SAFETY SCI, V106, P47, DOI 10.1016/j.ssci.2018.02.025
   Bergstrand K, 2015, SOC INDIC RES, V122, P391, DOI 10.1007/s11205-014-0698-3
   Chan SL, 2014, SOC INDIC RES, V115, P387, DOI 10.1007/s11205-012-0225-3
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Comfort LK, 2016, SAFETY SCI, V90, P1, DOI 10.1016/j.ssci.2015.09.031
   Cutter SL, 2013, J FLOOD RISK MANAG, V6, P332, DOI 10.1111/jfr3.12018
   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
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Fox-Lent Cate, 2015, Environment Systems & Decisions, V35, P209, DOI 10.1007/s10669-015-9555-4
   Frigerio I, 2016, ENVIRON SCI POLICY, V63, P187, DOI 10.1016/j.envsci.2016.06.001
   Golcuk I, 2016, EXPERT SYST APPL, V46, P346, DOI 10.1016/j.eswa.2015.10.041
   Hayes J., 2012, 8 ANN C INT I INFR R, P51
   Heinzlef C, 2019, SAFETY SCI, V118, P181, DOI 10.1016/j.ssci.2019.05.003
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Jain P, 2018, SAFETY SCI, V108, P13, DOI 10.1016/j.ssci.2018.04.012
   Jordan E, 2013, NAT HAZARDS REV, V14, P21, DOI 10.1061/(ASCE)NH.1527-6996.0000087
   Khunwishit S, 2018, INT J DISAST RISK SC, V9, P44, DOI 10.1007/s13753-018-0162-0
   Kim H, 2018, GEOFORUM, V96, P129, DOI 10.1016/j.geoforum.2018.08.006
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Labaka L, 2015, RELIAB ENG SYST SAFE, V141, P92, DOI 10.1016/j.ress.2015.03.009
   Lai CG, 2016, J HYDROL, V542, P268, DOI 10.1016/j.jhydrol.2016.09.003
   Li Y, 2018, J CLEAN PROD, V195, P1505, DOI 10.1016/j.jclepro.2017.10.227
   Lima CHR, 2015, J HYDROL, V522, P594, DOI 10.1016/j.jhydrol.2015.01.009
   Ministry of Water Resources of the People's Republic of China, 2017, ANN FLOOD DROUGHT HA
   National Academies of Science, 2012, DIRENAT IMP
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Parkouhi SV, 2017, J CLEAN PROD, V161, P431, DOI 10.1016/j.jclepro.2017.04.175
   Patriarca R, 2018, SAFETY SCI, V102, P79, DOI 10.1016/j.ssci.2017.10.005
   Saaty T.L., 2005, THEORY APPL ANALYTIC
   Serre D., 2012, Resilience and urban risk management
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Soetanto R, 2017, NAT HAZARDS, V86, P1105, DOI 10.1007/s11069-016-2732-z
   Tadic D, 2014, MATH PROBL ENG, V2014, DOI 10.1155/2014/418085
   Valenzuela-Venegas G, 2018, J CLEAN PROD, V174, P807, DOI 10.1016/j.jclepro.2017.11.025
   Wang LL, 2018, SAFETY SCI, V103, P51, DOI 10.1016/j.ssci.2017.11.007
   Wickes R, 2015, SOC SCI QUART, V96, P330, DOI 10.1111/ssqu.12144
   Wu H, 2014, WATER RESOUR RES, V50, P2693, DOI 10.1002/2013WR014710
   Yamane T., 1967, ELEMENTARY SAMPLING
   Zhang JK, 2017, J CLEAN PROD, V141, P409, DOI 10.1016/j.jclepro.2016.09.122
   Zhang WL, 2016, STRUCT SAF, V62, P57, DOI 10.1016/j.strusafe.2016.06.003
   Zhou XY, 2017, SAFETY SCI, V91, P93, DOI 10.1016/j.ssci.2016.06.014
NR 54
TC 44
Z9 47
U1 22
U2 218
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 0925-7535
EI 1879-1042
J9 SAFETY SCI
JI Saf. Sci.
PD JUL
PY 2020
VL 127
AR 104699
DI 10.1016/j.ssci.2020.104699
PG 12
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 LE1YF
UT WOS:000526519400012
DA 2025-04-22
ER

PT J
AU Kern, K
   Eckersley, P
   Kochskämper, E
   Haupt, W
AF Kern, Kristine
   Eckersley, Peter
   Kochskaemper, Elisa
   Haupt, Wolfgang
TI Unpacking Polycentric Climate Governance: Tracing the Evolution of
   Transnational Municipal Networks over Time
SO GLOBAL ENVIRONMENTAL POLITICS
LA English
DT Article
DE transnational municipal networks; climate governance; polycentric
   governance; Climate Alliance; Covenant of Mayors; 100 Resilient Cities;
   Resilient Cities Network
ID CITIES; COVENANT; MAYORS
AB All governance systems are polycentric to some extent in that they comprise multiple actors with varying degrees of autonomy. However, there has been limited theorization as to how we might measure polycentricity, even though this could help us unpack networks and understand governance arrangements better. We present three dimensions of governance to conceptualize degrees of polycentricity-governance of networks (internal organization and management at the network level), governance by networks (their impacts at the membership level), and governance with networks (collaboration with other actors at the system level). We then trace the evolution of three transnational municipal networks (the Climate Alliance, Covenant of Mayors, and 100 Resilient Cities/Resilient Cities Network), which are located at different positions along the polycentric-monocentric spectrum. We examine how these networks have become more or less polycentric over time and highlight trade-offs between different dimensions of polycentric governance, most notably governance of and governance by.
C1 [Kern, Kristine; Kochskaemper, Elisa] Leibniz Inst Res Soc & Space Erkner, Res Grp Urban Sustainabil Transformat, Hannover, Germany.
   [Kern, Kristine] Abo Akad Univ Turku, Turku, Finland.
   [Eckersley, Peter] Nottingham Trent Univ, Publ Policy & Management, Nottingham, England.
   [Haupt, Wolfgang] Univ Int Catalunya, Barcelona, Spain.
   [Haupt, Wolfgang] Brandenburg Univ Technol Cottbus Senftenberg, Senftenberg, Germany.
   [Haupt, Wolfgang] IHE Delft Inst Water Educ, Delft, Netherlands.
   [Haupt, Wolfgang] Univ Cardiff, Cardiff, Wales.
C3 Nottingham Trent University; Universitat Internacional de Catalunya
   (UIC); Brandenburg University of Technology Cottbus; IHE Delft Institute
   for Water Education; Cardiff University
RP Kern, K (corresponding author), Leibniz Inst Res Soc & Space Erkner, Res Grp Urban Sustainabil Transformat, Hannover, Germany.
EM kristine.kern@leibniz-irs.de
RI Haupt, Wolfgang/AET-1139-2022; Eckersley, Peter/I-9980-2019
OI Eckersley, Peter/0000-0001-9048-8529
CR Acuto M, 2021, URBAN STUD, V58, P1758, DOI 10.1177/0042098020929261
   Acuto M, 2019, GLOB POLICY, V10, P709, DOI 10.1111/1758-5899.12760
   Basso M, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103596
   Bertoldi P, 2018, CURR OPIN ENV SUST, V30, P67, DOI 10.1016/j.cosust.2018.03.009
   Bulkeley H., 2003, J ENV POLICY PLANNIN, V5, P235, DOI DOI 10.1080/1523908032000154179
   Busch H., 2016, Entangled Cities: Transnational Municipal Climate Networks and Urban Governance
   Climate Alliance, 2021, Declaration of Wels
   Climate Alliance, 2024, Municipalities
   Climate Alliance, 2023, Review and Outlook 2022/2023
   Climate Alliance, 2020, 30 Years of Climate Alliance
   Climate Alliance, 2024, Klima-Bndnis Services
   Coppola A., 2023, The Palgrave Handbook of Global Sustainability, P2557, DOI [10.1007/978-3-031-01949-4167, DOI 10.1007/978-3-031-01949-4167]
   Coppola Alessandro., 2020, RISK RESILIENCE SOCI, P113
   Cortes S, 2022, GLOBAL ENVIRON POLIT, V22, P59, DOI 10.1162/glep_a_00657
   Covenant of Mayors, 2024, Signatories
   Davidson K, 2019, GLOB POLICY, V10, P697, DOI 10.1111/1758-5899.12740
   Dorsch MJ, 2017, GLOBAL ENVIRON POLIT, V17, P45, DOI 10.1162/GLEP_a_00400
   European Commission, 2022, EU mission: climate-neutral and smart cities
   Galaz V, 2012, ECOL ECON, V81, P21, DOI 10.1016/j.ecolecon.2011.11.012
   Gordon DE, 2020, Cities on the world stage: the politics of global urban climate governance, DOI DOI 10.1017/9781108125888
   Haupt W, 2020, INT J URBAN SUSTAIN, V12, P143, DOI 10.1080/19463138.2019.1691007
   Haupt W, 2019, INT J URBAN SUSTAIN, V11, P123, DOI 10.1080/19463138.2019.1583235
   Heikkinen M, 2020, J CLEAN PROD, V257, DOI 10.1016/j.jclepro.2020.120474
   Heinen D, 2022, ENVIRON POLICY GOV, V32, P56, DOI 10.1002/eet.1963
   Hooghe Liesbet., 2001, MULTILEVEL GOVERNANC
   Joint Research Centre, 2015, The Covenant of Mayors in Figures and Performance Indicators: 6-Year Assessment, DOI [10.2790/774700, DOI 10.2790/774700]
   Joint Research Centre, 2020, Covenant of Mayors: 2019 Assessment, DOI [10.2760/775755, DOI 10.2760/775755]
   Joint Research Centre, 2023, Covenant of Mayors: 2022 Energy Figures, DOI [10.2760/93581, DOI 10.2760/93581]
   Joint Research Centre, 2017, Covenant of Mayors in Figures: 8-Year Assessment, DOI [10.2760/64731, DOI 10.2760/64731]
   Joint Research Centre, 2022, Covenant of Mayors: 2021 Assessment, DOI [10.2760/58412, DOI 10.2760/58412]
   Jordan A., 2023, Routledge Handbook of Environmental Policy, P55, DOI [10.4324/9781003043843-6, DOI 10.4324/9781003043843-6]
   Jordan A, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P3
   Kern K., 2023, Handbook on European Union climate change policy and Politics, P113
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Kern K, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-022-02020-z
   Kern K, 2019, ENVIRON POLIT, V28, P125, DOI 10.1080/09644016.2019.1521979
   Kim RE, 2020, INT STUD REV, V22, P903, DOI 10.1093/isr/viz052
   Kochskaemper E, 2025, J ENVIRON PLANN MAN, V68, P1691, DOI 10.1080/09640568.2023.2297648
   Kona A, 2021, EARTH SYST SCI DATA, V13, P3551, DOI 10.5194/essd-13-3551-2021
   Lucchitta B, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2023.e23423
   Mayer-Ries J., 1999, Globalisierung lokaler Politik: Das Klima-Bndnis europischer Stdte mit den indigenen Vlkern Amazoniens, DOI [10.1007/978-3-322-91494-1, DOI 10.1007/978-3-322-91494-1]
   Moloney S, 2021, CITIES, V110, DOI 10.1016/j.cities.2020.103017
   Nielsen AB, 2021, ENVIRON PLAN C-POLIT, V39, P667, DOI 10.1177/2399654420945332
   Ostrom E, 2010, AM ECON REV, V100, P641, DOI 10.1257/aer.100.3.641
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Papin M, 2020, EARTH SYST GOV-NETH, V4, DOI 10.1016/j.esg.2020.100064
   Peters B. G., 2021, Advanced Introduction to Governance
   Peters BG, 2020, GOVERNANCE, V33, P585, DOI 10.1111/gove.12455
   Rashidi K, 2018, MITIG ADAPT STRAT GL, V23, P507, DOI 10.1007/s11027-017-9747-y
   Rayner T, 2013, WIRES CLIM CHANGE, V4, P75, DOI 10.1002/wcc.205
   Rhodes R.A. W., 1997, UNDERSTANDING GOVERN
   Rivas S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142215081
   Seawright J, 2008, POLIT RES QUART, V61, P294, DOI 10.1177/1065912907313077
   Skelcher C, 2005, GOVERNANCE, V18, P89, DOI 10.1111/j.1468-0491.2004.00267.x
   Sorensen E, 2017, AM REV PUBLIC ADM, V47, P826, DOI 10.1177/0275074016643181
   Spitzeck H, 2010, CORP GOV-INT J BUS S, V10, P378, DOI 10.1108/14720701011069623
   Tobin P., 2024, Glob. Environ. Polit, V24, P1, DOI [10.1162/glepa00758, DOI 10.1162/GLEPA00758]
   van der Heijden J, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P81
   van der Ven H, 2017, GLOBAL ENVIRON POLIT, V17, P1, DOI 10.1162/GLEP_a_00387
   Yi HT, 2017, ENVIRON POLIT, V26, P138, DOI 10.1080/09644016.2016.1244968
NR 60
TC 2
Z9 2
U1 20
U2 26
PU MIT PRESS
PI CAMBRIDGE
PA ONE ROGERS ST, CAMBRIDGE, MA 02142-1209 USA
SN 1526-3800
EI 1536-0091
J9 GLOBAL ENVIRON POLIT
JI Glob. Environ. Polit.
PD AUG 1
PY 2024
VL 24
IS 3
SI SI
BP 121
EP 143
DI 10.1162/glep_a_00754
PG 23
WC Environmental Studies; International Relations; Political Science
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations; Government &
   Law
GA G2M3F
UT WOS:001315027600007
OA hybrid
DA 2025-04-22
ER

PT J
AU Xi, ZJ
   Li, CS
   Zhou, L
   Yang, HJ
   Burghardt, R
AF Xi, Zhijie
   Li, Chaosu
   Zhou, Long
   Yang, Huajie
   Burghardt, Rene
TI Built environment influences on urban climate resilience: Evidence from
   extreme heat events in Macau
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Urban resilience; Urban form; Extreme heat event; Climate change
ID LAND-SURFACE TEMPERATURE; THERMAL ENVIRONMENT; ISLAND; FORM;
   VENTILATION; SIMULATION; MITIGATION; RESOLUTION; HIGHRISE; WEATHER
AB Systematic understanding of climate resilience in the urban context is essential to improve the adaptive capacity in response to extreme weather events. Although the urban built environment affects climate resilience, empirical evidence on the associations between the built environment and urban climate resilience is rare in the literature. In this study, urban heat resilience (HR) is measured as the land surface temperature (LST) difference in a given urban area between normal and extreme heat event, and it further explores the impact of two-dimensional (2D) and three-dimensional (3D) urban built environment features on HR. Using spatial regression, we find that solar insolation and water density are the dominant factors in determining land surface temperature. However, they do not appear to influence HR significantly. Results indicate that vegetation and urban porosity are crucial both in reducing LST and improving HR during extreme heat events. This study highlights the importance of 2D and 3D urban built environment features in improving HR to extreme heat events.
C1 [Xi, Zhijie; Zhou, Long; Yang, Huajie] City Univ Macau, Fac Innovat & Design, Macau, Peoples R China.
   [Xi, Zhijie] Chaoyang Dist Peoples Govt, Wangsiying Dist Off, Beijing, Peoples R China.
   [Li, Chaosu] Hong Kong Univ Sci & Technol Guangzhou, Urban Governance & Design Thrust, Guangzhou, Peoples R China.
   [Li, Chaosu] Hong Kong Univ Sci & Technol, Div Publ Policy, Hong Kong, Peoples R China.
   [Burghardt, Rene] Univ Kassel, Dept Environm Meteorol, Kassel, Germany.
C3 City University of Macau; Hong Kong University of Science & Technology
   (Guangzhou); Hong Kong University of Science & Technology; Universitat
   Kassel
RP Zhou, L (corresponding author), City Univ Macau, Fac Innovat & Design, Macau, Peoples R China.
EM chaosuli@ust.hk; lzhou@cityu.mo; yanghj@cityu.mo;
   r.burghardt@uni-kassel.de
RI Burghardt, René/AAD-5475-2022; Yang, Huajie/HHM-4182-2022; Zhou,
   Long/KHD-1600-2024; Li, Chaosu/I-8419-2016
OI Li, Chaosu/0000-0002-1146-2361; Yang, Huajie/0000-0001-8939-682X; Zhou,
   Long/0009-0000-1161-2086
FU Guangzhou Science and Technology Department [SL2023A03J00095]; Hong Kong
   University of Science and Technology (Guangzhou); Macao Science and
   Technology Development Fund [0039/2020/AFJ]; National Natural Science
   Foundation of China [52061160366]; Macau Foundation [MF2017]
FX This research was funded by the Guangzhou-HKUST (GZ) Joint Funding
   Scheme (SL2023A03J00095) by the Guangzhou Science and Technology
   Department and the Hong Kong University of Science and Technology
   (Guangzhou) , the Macao Science and Technology Development Fund
   (0039/2020/AFJ) , the National Natural Science Foundation of China (No.
   52061160366) , and the Macau Foundation (No. MF2017) .
CR Bottyán Z, 2003, THEOR APPL CLIMATOL, V75, P233, DOI 10.1007/s00704-003-0735-7
   Burghardt R., 2014, Development of an ArcGIS Extension to Model Urban Climate Factors (Doctoral dissertation)
   Cai M, 2018, URBAN CLIM, V24, P485, DOI 10.1016/j.uclim.2017.05.010
   Chakraborty T, 2022, AGU ADV, V3, DOI 10.1029/2022AV000729
   Chakraborty T, 2021, REMOTE SENS ENVIRON, V265, DOI 10.1016/j.rse.2021.112682
   Chun B, 2014, LANDSCAPE URBAN PLAN, V125, P76, DOI 10.1016/j.landurbplan.2014.01.016
   Chun B, 2017, ENVIRON PLAN B-URBAN, V44, P308, DOI 10.1177/0265813515624685
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Ebi KL, 2016, WEATHER CLIM EXTREME, V11, P95, DOI 10.1016/j.wace.2015.10.001
   Gál T, 2009, BUILD ENVIRON, V44, P198, DOI 10.1016/j.buildenv.2008.02.008
   Giridharan R, 2004, ENERG BUILDINGS, V36, P525, DOI 10.1016/j.enbuild.2003.12.016
   Guhathakurta S, 2010, J PLAN EDUC RES, V30, P40, DOI 10.1177/0739456X10374187
   Guo AD, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101972
   Hashim JH, 2016, ASIA-PAC J PUBLIC HE, V28, p8S, DOI 10.1177/1010539515599030
   Hathway EA, 2012, BUILD ENVIRON, V58, P14, DOI 10.1016/j.buildenv.2012.06.013
   Hsu D, 2019, J PLAN EDUC RES, V39, P315, DOI 10.1177/0739456X17739674
   Huang KN, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4b71
   KALKSTEIN LS, 1989, ANN ASSOC AM GEOGR, V79, P44, DOI 10.1111/j.1467-8306.1989.tb00249.x
   Kato S, 2007, REMOTE SENS ENVIRON, V110, P1, DOI 10.1016/j.rse.2007.02.011
   Kim YH, 2008, THEOR APPL CLIMATOL, V92, P239, DOI 10.1007/s00704-007-0319-z
   Kubota T, 2010, INT J VENT, V9, P11
   Lebel L, 2013, MITIG ADAPT STRAT GL, V18, P1057, DOI 10.1007/s11027-012-9407-1
   LeSage JP, 2014, ECONOMETRICS, V2, P217, DOI 10.3390/econometrics2040217
   Li CS, 2023, J PLAN EDUC RES, V43, P317, DOI 10.1177/0739456X19873382
   Li CS, 2018, ENERG BUILDINGS, V158, P181, DOI 10.1016/j.enbuild.2017.10.007
   Li CS, 2016, J ENVIRON PLANN MAN, V59, P1679, DOI 10.1080/09640568.2015.1085840
   Li SC, 2010, ENVIRON MODELL SOFTW, V25, P1789, DOI 10.1016/j.envsoft.2010.06.011
   Liu HM, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102987
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   Miyan MA, 2015, WEATHER CLIM EXTREME, V7, P8, DOI 10.1016/j.wace.2014.06.003
   Okumus DE, 2021, SUSTAIN CITIES SOC, V73, DOI 10.1016/j.scs.2021.103128
   Oliveira S, 2011, BUILD ENVIRON, V46, P2186, DOI 10.1016/j.buildenv.2011.04.034
   Papakonstantinou KA, 2000, ENERG BUILDINGS, V33, P41, DOI 10.1016/S0378-7788(00)00063-3
   Peres LF, 2005, IEEE T GEOSCI REMOTE, V43, P1834, DOI 10.1109/TGRS.2005.851172
   Priyadarsini R, 2004, ENERG BUILDINGS, V36, P61, DOI 10.1016/S0378-7788(03)00076-8
   Qin Z, 2001, INT J REMOTE SENS, V22, P3719, DOI 10.1080/01431160010006971
   Rode P, 2014, ENVIRON PLANN B, V41, P138, DOI 10.1068/b39065
   Shi Y, 2018, SCI TOTAL ENVIRON, V618, P891, DOI 10.1016/j.scitotenv.2017.08.252
   Sobrino JA, 2012, REMOTE SENS ENVIRON, V117, P50, DOI 10.1016/j.rse.2011.04.042
   Steeneveld Gert-Jan., 2011, Journal of Geophysical Research: Atmospheres, V116
   Stone B, 2001, J AM PLANN ASSOC, V67, P186, DOI 10.1080/01944360108976228
   Stone B, 2006, ATMOS ENVIRON, V40, P3561, DOI 10.1016/j.atmosenv.2006.01.015
   Stone B, 2010, ENVIRON HEALTH PERSP, V118, P1425, DOI 10.1289/ehp.0901879
   Stone B Jr, 2023, J PLAN EDUC RES, V43, P346, DOI 10.1177/0739456X19879214
   Syafii NI, 2017, SUSTAIN CITIES SOC, V34, P79, DOI 10.1016/j.scs.2017.06.012
   Theeuwes NE, 2014, Q J ROY METEOR SOC, V140, P2197, DOI 10.1002/qj.2289
   Tran DX, 2017, ISPRS J PHOTOGRAMM, V124, P119, DOI 10.1016/j.isprsjprs.2017.01.001
   Turner VK, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac73a9
   Unger J, 2009, INT J ENVIRON POLLUT, V36, P59, DOI 10.1504/IJEP.2009.021817
   Venter ZS, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abb9569
   Viton P., 2010, NOTE SPATIAL ECONOME
   Wu CD, 2013, ISPRS J PHOTOGRAMM, V81, P1, DOI 10.1016/j.isprsjprs.2013.03.009
   Wu ZJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030787
   Xiao RB, 2007, J ENVIRON SCI-CHINA, V19, P250, DOI 10.1016/S1001-0742(07)60041-2
   Yuan F, 2007, REMOTE SENS ENVIRON, V106, P375, DOI 10.1016/j.rse.2006.09.003
   Zhang YJ, 2019, LANDSCAPE ECOL, V34, P681, DOI 10.1007/s10980-019-00794-y
NR 56
TC 30
Z9 31
U1 39
U2 222
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 FEB 10
PY 2023
VL 859
AR 160270
DI 10.1016/j.scitotenv.2022.160270
EA NOV 2022
PN 2
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 7B2GV
UT WOS:000898959500010
PM 36402335
DA 2025-04-22
ER

PT J
AU Yuan, MK
   Zhou, XF
   Qu, XB
AF Yuan, Mingkang
   Zhou, Xiaofeng
   Qu, Xiaobing
TI Integrating prospect theory and hesitant fuzzy linguistic preferences
   for enhanced urban flood resilience assessment: A case study of the
   tuojiang river Basin in western China
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban flood resilience; Tuojiang river basin; Hesitant fuzzy linguistic
   term set; Prospect theory
ID DISASTER-RESILIENCE; DECISION-MAKING; COMMUNITY RESILIENCE; TERM SETS;
   FRAMEWORK; INDEX
AB The intricate interplay between extreme climatic events and rapid urbanization has compounded the difficulties associated with urban flood resilience, prompting urgent improvements in cities' disaster preparedness and early warning systems. Existing assessment methodologies overlook human factors like decision-makers' psychological biases, hindering precise evaluations of flood defense capabilities. Motivated by the practical need for innovative disaster assessment tools, this study integrates hesitant fuzzy theory with prospect theory. This pioneering approach introduces interval-type indicators into the urban flood resilience assessment framework, establishing a quantitative model to gauge the correlation between urban resilience and various influencing factors. Using the Tuojiang River Basin in western China as a focal point, the research calculates the comprehensive urban flood resilience index for six cities along the Tuojiang River from 2002 to 2021. The findings indicate a consistent upward trajectory in the urban flood resilience index, mirroring government management practices. Notably, Chengdu boasts the highest urban flood resilience index at 1.4288, while Luzhou's index stands at -0.4376, reflecting a shortfall in the expected or desired level within the assessment framework, though without compromising index comparability. Moreover, both cities surpass the regional average of 0.36, categorizing them as high-resilience areas. Significantly, the efficacy of flood defense strategies in these areas correlates positively with economic growth (5.2 %). The model proposed in this study offers a thorough quantification of urban flood defense capabilities, assisting managers in formulating precise disaster mitigation strategies and providing scientific backing for integrated flood disaster management.
C1 [Yuan, Mingkang; Zhou, Xiaofeng; Qu, Xiaobing] Chengdu Univ Technol, Coll Management Sci, 1 East 3rd Rd, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Yuan, MK; Qu, XB (corresponding author), Chengdu Univ Technol, Coll Management Sci, 1 East 3rd Rd, Chengdu 610059, Peoples R China.
EM yuanymk@163.com; 15302717770@163.com
OI Yuan, Mingkang/0000-0002-1177-447X
FU Yangtze River Key Ecological Functional Area Protection Policy Research
   Center [YREPC2024-YB003]; National Social Science Foundation [21XJL001];
   National undergraduate innovation and entrepreneurship training program
   of China [202310616018]; Sichuan Natural Science Foundation of China
   [2024NSFSC0078]; Major Special Project of Sichuan Philosophy and Social
   Science Foundation [SCJJ24ZD25]
FX This work was supported by the Yangtze River Key Ecological Functional
   Area Protection Policy Research Center (Grant: YREPC2024-YB003) ,
   National Social Science Foundation (Grant: 21XJL001) National
   undergraduate innovation and entrepreneurship training program of China
   (Grant: 202310616018) , Sichuan Natural Science Foundation of China
   (Grant:2024NSFSC0078) , : 2024NSFSC0078) , Major Special Project of
   Sichuan Philosophy and Social Science Foundation (Grant: SCJJ24ZD25) .
CR Aguilar-Barajas I, 2019, ENVIRON SCI POLICY, V99, P37, DOI 10.1016/j.envsci.2019.05.021
   An M, 2023, ENVIRON SCI POLLUT R, V30, P16355, DOI 10.1007/s11356-022-23271-7
   Birgani YT, 2018, WATER RESOUR MANAG, V32, P2817, DOI 10.1007/s11269-018-1960-2
   Boyaci AÇ, 2020, APPL SOFT COMPUT, V89, DOI 10.1016/j.asoc.2020.106090
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Causevic A, 2021, ENVIRON PLAN B-URBAN, V48, P989, DOI 10.1177/2399808321994437
   Chan SL, 2014, SOC INDIC RES, V115, P387, DOI 10.1007/s11205-012-0225-3
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chen JL, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126601
   Dai WF, 2020, SOFT COMPUT, V24, P9429, DOI 10.1007/s00500-018-3017-0
   Gu J, 2021, J OPER RES SOC, V72, P879, DOI 10.1080/01605682.2019.1701957
   Guan XJ, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.129038
   He W, 2021, ENVIRON SCI POLLUT R, V28, P20209, DOI 10.1007/s11356-020-11837-2
   Hettiarachchi S, 2022, CITIES, V128, DOI 10.1016/j.cities.2022.103789
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Kammouh O, 2019, ASCE-ASME J RISK U A, V5, DOI 10.1061/AJRUA6.0001004
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Li ZM, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101140
   Liao HC, 2015, KNOWL-BASED SYST, V76, P127, DOI 10.1016/j.knosys.2014.12.009
   Liao HC, 2014, INFORM SCIENCES, V271, P125, DOI 10.1016/j.ins.2014.02.125
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu Y, 2023, MAR POLICY, V148, DOI 10.1016/j.marpol.2022.105456
   Luo Y, 2021, NAT HAZARDS, V105, P667, DOI 10.1007/s11069-020-04330-z
   Ma C, 2022, NAT HAZARDS, V113, P1903, DOI 10.1007/s11069-022-05375-y
   Mahajan S, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103942
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Mishra A, 2021, SCI TOTAL ENVIRON, V754, DOI 10.1016/j.scitotenv.2020.142210
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Peng JJ, 2016, INT J INF TECH DECIS, V15, P621, DOI 10.1142/S0219622016500152
   Pfefferbaum RL, 2013, J PUBLIC HEALTH MAN, V19, P250, DOI 10.1097/PHH.0b013e318268aed8
   Qi WC, 2021, NAT HAZARDS, V108, P31, DOI 10.1007/s11069-021-04715-8
   Qin B, 2015, CITIES, V43, P18, DOI 10.1016/j.cities.2014.11.006
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Rodríguez RM, 2012, IEEE T FUZZY SYST, V20, P109, DOI 10.1109/TFUZZ.2011.2170076
   Sherrieb K, 2012, INT J DISAST RISK RE, V2, P6, DOI 10.1016/j.ijdrr.2012.06.001
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Tang M, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040751
   Tu Y, 2022, EXPERT SYST APPL, V210, DOI 10.1016/j.eswa.2022.118488
   TVERSKY A, 1992, J RISK UNCERTAINTY, V5, P297, DOI 10.1007/BF00122574
   Wang B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102884
   WIND Y, 1980, MANAGE SCI, V26, P641, DOI 10.1287/mnsc.26.7.641
   Xu HS, 2018, J HYDROL, V563, P975, DOI 10.1016/j.jhydrol.2018.06.060
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Xu ZS, 1999, EUR J OPER RES, V116, P443, DOI 10.1016/S0377-2217(98)00109-X
   Yin DK, 2021, J CLEAN PROD, V280, DOI 10.1016/j.jclepro.2020.124963
   Zhai SW, 2023, CHEMOSPHERE, V310, DOI 10.1016/j.chemosphere.2022.136786
   Zheng JX, 2023, STOCH ENV RES RISK A, V37, P1183, DOI 10.1007/s00477-022-02325-9
   Zhu SY, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102355
NR 51
TC 1
Z9 1
U1 43
U2 47
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 15
PY 2024
VL 113
AR 104825
DI 10.1016/j.ijdrr.2024.104825
EA SEP 2024
PG 19
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA H1B9F
UT WOS:001320874800001
DA 2025-04-22
ER

PT J
AU Shi, JL
   Wang, X
   Wang, CX
   Liu, HM
   Miao, Y
   Ci, FY
AF Shi, Jialu
   Wang, Xuan
   Wang, Chengxin
   Liu, Haimeng
   Miao, Yi
   Ci, Fuyi
TI Evaluation and Influencing Factors of Network Resilience in
   Guangdong-Hong Kong-Macao Greater Bay Area: A Structural Perspective
SO SUSTAINABILITY
LA English
DT Article
DE urban network resilience; regional resilience; urban network;
   influencing factor; Guangdong-Hong Kong-Macao Greater Bay Area (GBA)
ID COVID-19; CHINA
AB Currently, urban crises are spreading, even tending to be magnified along the urban networks. Improving urban network resilience can effectively reduce the loss and cope with sudden disasters. Based on the dimensions of regional resilience and the framework of urban network, a new evaluation system of network resilience, including economic, social, and engineering networks, was established to assess the network resilience of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from a structural perspective. We analyzed the spatial characteristics and influencing factors of network resilience using social network analysis and quadratic assignment procedure. The results were as follows: (1) regional difference was biggest in GBA's economic network strength while smallest in its transportation network strength, and the east bank of the Pearl River represented an extremely resilient connection axis; (2) the structures of network resilience and its subsystems were heterogeneous, and the connection paths of network resilience were more heterogeneous and diversified than those of the subsystems; (3) network resilience presented an obvious core-edge structure, and the spatial correlation and spillover effect between blocks were substantial; and (4) geographical proximity, as well as differences in economic development, urban agglomeration, and market development, had a significant impact on network resilience. This study provides a more systematic approach to evaluate the regional network resilience, and the results provide references for the construction of bay areas in developing countries.
C1 [Shi, Jialu; Ci, Fuyi] Shandong Normal Univ, Sch Econ, Jinan 250358, Peoples R China.
   [Shi, Jialu; Wang, Xuan; Wang, Chengxin; Miao, Yi] Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China.
   [Liu, Haimeng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Liu, Haimeng] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
C3 Shandong Normal University; Shandong Normal University; Chinese Academy
   of Sciences; Institute of Geographic Sciences & Natural Resources
   Research, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS
RP Ci, FY (corresponding author), Shandong Normal Univ, Sch Econ, Jinan 250358, Peoples R China.; Wang, CX (corresponding author), Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China.
EM jialusunny@126.com; h762442@163.com; 110105@sdnu.edu.cn;
   liuhm@igsnrr.ac.cn; 621203@sdnu.edu.cn; fuyici@163.com
RI Liu, Haimeng/R-7364-2018
OI Liu, Haimeng/0000-0003-0390-9140; Miao, Yi/0000-0003-3829-9557
FU National Social Science Foundation of China [20BJY070]; Social Science
   Planning and Research Project of Shandong Province [20BJJJ06]
FX This study was funded by the National Social Science Foundation of China
   (Grant No. 20BJY070) and the Social Science Planning and Research
   Project of Shandong Province (Grant No. 20BJJJ06).
CR Aldrich D.P., 2012, Building Resilience: Social Capital in Post-Disaster Recovery, P1, DOI DOI 10.7208/CHICAGO/9780226012896.001.0001
   Barnett G.A., 2011, ENCY SOCIAL NETWORKS
   Cao XS, 2019, CHINESE GEOGR SCI, V29, P820, DOI 10.1007/s11769-019-1034-2
   Cheng Y, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13116461
   Fang CL, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108107
   [冯颖 Feng Ying], 2020, [地理学报, Acta Geographica Sinica], V75, P2380
   [古恒宇 Gu Hengyu], 2021, [地理学报, Acta Geographica Sinica], V76, P326
   Gu HY, 2020, APPL SPAT ANAL POLIC, V13, P631, DOI 10.1007/s12061-019-09322-6
   [郭卫东 Guo Weidong], 2022, [地理研究, Geographical Research], V41, P1371
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jung K, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071141
   [李航飞 Li Hangfei], 2017, [经济地理, Economic Geography], V37, P63
   Li J, 2017, Resource Development and Market
   Li MM, 2022, LAND-BASEL, V11, DOI 10.3390/land11020225
   Li RY, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010144
   [李艳 Li Yan], 2019, [地理研究, Geographical Research], V38, P1694
   [刘心怡 Liu Xinyi], 2020, [地理科学, Scientia Geographica Sinica], V40, P874
   [刘毅 Liu Yi], 2020, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V35, P312
   [刘毅 Liu Yi], 2019, [地理学报, Acta Geographica Sinica], V74, P2455
   Najafi-Tavani S, 2018, IND MARKET MANAG, V73, P193, DOI 10.1016/j.indmarman.2018.02.009
   Nehzati T, 2015, ADV MANUF, V3, P151, DOI 10.1007/s40436-015-0111-8
   [潘峰华 Pan Fenghua], 2019, [地理科学, Scientia Geographica Sinica], V39, P1093
   [彭翀 Peng Chong], 2019, [经济地理, Economic Geography], V39, P68
   [彭翀 Peng Chong], 2018, [地理研究, Geographical Research], V37, P1193
   [彭芳梅 Peng Fangmei], 2017, [经济地理, Economic Geography], V37, P57
   [秦奇 Qin Qi], 2018, [地理学报, Acta Geographica Sinica], V73, P2014
   [邱坚坚 Qiu Jianjian], 2019, [经济地理, Economic Geography], V39, P7
   Rosvall M, 2005, PHYS REV LETT, V94, DOI 10.1103/PhysRevLett.94.028701
   Shi JL, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19042070
   Tachaudomdach S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063172
   Taylor PJ, 2002, URBAN STUD, V39, P2367, DOI 10.1080/00420980220080011
   [王少剑 Wang Shaojian], 2019, [地理研究, Geographical Research], V38, P1849
   [魏石梅 Wei Shimei], 2021, [地理学报, Acta Geographica Sinica], V76, P1394
   [魏冶 Wei Ye], 2020, [地理科学进展, Progress in Geography], V39, P488
   Wiedmer R, 2021, J BUS LOGIST, V42, P264, DOI 10.1111/jbl.12283
   Wu Z.C., 2020, AREA GEOGR RES, V39, P1370
   [谢永顺 Xie Yongshun], 2020, [地理科学进展, Progress in Geography], V39, P1619
   Yao X., 2019, World Reg. Stud, V28, P83, DOI [DOI 10.3969/J.ISSN.1004-9479.2018186, 10.3969/j.issn.1004-9479.2019.05.2018186, DOI 10.3969/J.ISSN.1004-9479.2019.05.2018186]
   Zhang M.D., 2018, Urban Probl, V10, P27, DOI [10.13239/j.bjsshkxy.cswt.181004, DOI 10.13239/J.BJSSHKXY.CSWT.181004]
   Zhang P., 2018, Urban Probl, V9, P27, DOI [10.13239/j.bjsshkxy.cswt.180904, DOI 10.13239/J.BJSSHKXY.CSWT.180904]
   Zhang WJ, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102809
   Zhang WJ, 2019, ANN AM ASSOC GEOGR, V109, P887, DOI 10.1080/24694452.2018.1484684
   Zhang YH, 2020, TRANSPORT POLICY, V94, P34, DOI 10.1016/j.tranpol.2020.05.012
   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]
   Zou L., 2015, ECON GEOGR, V35, P1, DOI DOI 10.15957/J.CNKI.JJDL.2015.06.001
NR 45
TC 13
Z9 14
U1 13
U2 180
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 13
AR 8005
DI 10.3390/su14138005
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 2V8TD
UT WOS:000824110400001
OA gold
DA 2025-04-22
ER

PT J
AU Feng, XH
   Lei, J
   Xiu, CL
   Li, JX
   Bai, LM
   Zhong, YX
AF Feng Xinghua
   Lei Jing
   Xiu Chunliang
   Li Jianxin
   Bai Limin
   Zhong Yexi
TI Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of
   Shenyang, China
SO CHINESE GEOGRAPHICAL SCIENCE
LA English
DT Article
DE landscape pattern; size-density-morphology; urban resilience; scale
   effect; Shenyang City; China
ID LANDSCAPE PATTERNS; CLIMATE-CHANGE; CHALLENGES; CITIES; CITY;
   SUSTAINABILITY; OPPORTUNITIES; ECOLOGY; DESIGN; RISK
AB Based on urban physical space and theory of landscape ecology, a triune assessment framework -'size-density-morphology'-was constructed in order to analyze the spatial pattern and the scale effect of urban resilience in Shenyang of China in 2015, and to explore the main impact factors of landscape under different spatial scale backgrounds. The results show that: 1) Urban resilience is an optimal combination of the resilience of size, density, and morphology. The urban resilience of Shenyang displays scale effect; the overall resilience level increases with the increase in scale, while the spatial difference and spatial similarity tend to decrease resilience. 2) As 2 km, 1 km and 2 km are scale inflection points of average value curves for size resilience, density resilience and morphology resilience, respectively in an urban setting; the optimal scale unit of comprehensive resilience is 1 km. Choosing 1 km-2 km as the basic spatial scale better depicts overall pattern and detailed characteristics of resilience in Shenyang. The spatial amplitudes of 0.5 km and 1 km are sensitive points for spatial autocorrelation of morphology and density resilience, size, and comprehensive resilience to scale effect. 3) The major landscape factors of urban size and morphology resilience transform with scale expansion. Aggregation index (AI) has a significant impact on urban resilience at different scales; its influence increases significantly with the increase in scale. 4) The high-level area of comprehensive resilience in Shenyang is the eastern ecological corridor area, while the low value area is the peripheral extension area of the city. To promote the overall level of resilience in Shenyang, this paper argues that the construction of ecological infrastructure should be strengthened in the peripheral extension area in a balanced manner. In the city center, population and building density should be controlled; the intensity of human activities should be reduced; impetus should be placed on landscape heterogeneity; and the homogeneous expansion of the area of construction should be prevented. In the eastern ecological corridors, the exploitation of ecosystem lands should be strictly controlled, and the integrity of the green landscape patches should be maintained.
C1 [Feng Xinghua; Lei Jing; Zhong Yexi] Jiangxi Normal Univ, Sch Geog & Environm, Nanchang 330022, Jiangxi, Peoples R China.
   [Xiu Chunliang] Northeastern Univ, Jangho Architecture Coll, Shenyang 110169, Peoples R China.
   [Li Jianxin] Jiangxi Normal Univ, Jiangxi Inst Econ Dev, Nanchang 330022, Jiangxi, Peoples R China.
   [Bai Limin] Jilin Jianzhu Univ, Sch Architecture & Planning, Changchun 130018, Peoples R China.
   [Feng Xinghua] Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang 330022, Jiangxi, Peoples R China.
C3 Jiangxi Normal University; Northeastern University - China; Jiangxi
   Normal University; Jilin Jianzhu University; Jiangxi Normal University
RP Xiu, CL (corresponding author), Northeastern Univ, Jangho Architecture Coll, Shenyang 110169, Peoples R China.
EM xiuchunliang@mail.neu.edu.cn
CR Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Allen CR, 2016, J APPL ECOL, V53, P625, DOI 10.1111/1365-2664.12634
   Almeida MD, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062227
   Ascott K, 2019, TOWN PLAN REV, V90, P473, DOI 10.3828/tpr.2019.30
   Bai LM, 2019, HABITAT INT, V93, DOI 10.1016/j.habitatint.2019.102042
   Borsekova K, 2018, INT J DISAST RISK RE, V31, P381, DOI 10.1016/j.ijdrr.2018.05.012
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Caprotti F, 2017, URBAN RES PRACT, V10, P367, DOI 10.1080/17535069.2016.1275618
   Carvalho D, 2017, URBAN CLIM, V19, P1, DOI 10.1016/j.uclim.2016.11.005
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Creutzig F, 2016, NAT CLIM CHANGE, V6, P1054, DOI 10.1038/nclimate3169
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Dhar TK, 2017, URBAN CLIM, V19, P72, DOI 10.1016/j.uclim.2016.12.004
   Fischer K, 2016, INT J PROT STRUCT, V7, P45, DOI 10.1177/2041419615622727
   Gleeson B, 2008, URBAN STUD, V45, P2653, DOI 10.1177/0042098008098198
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huck A, 2019, ENVIRON SCI POLICY, V100, P211, DOI 10.1016/j.envsci.2019.05.008
   Jayawardena HMIDP, 2017, WATER PRACT TECHNOL, V12, P964, DOI 10.2166/wpt.2017.100
   Jiménez M, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01587-9
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   Klotz M, 2016, REMOTE SENS ENVIRON, V178, P191, DOI 10.1016/j.rse.2016.03.001
   Lee S, 2014, ENERG POLICY, V68, P534, DOI 10.1016/j.enpol.2014.01.024
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Li HL, 2017, ECOL INDIC, V82, P50, DOI 10.1016/j.ecolind.2017.06.032
   Liu ZM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102964
   Lohrey S, 2016, TRANSPORT RES D-TR E, V45, P96, DOI 10.1016/j.trd.2015.09.004
   Luo FH, 2018, LANDSCAPE URBAN PLAN, V180, P125, DOI 10.1016/j.landurbplan.2018.08.014
   McEvoy D, 2020, CLIM DEV, V12, P1, DOI 10.1080/17565529.2019.1594666
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Ng E, 2011, LANDSCAPE URBAN PLAN, V101, P59, DOI 10.1016/j.landurbplan.2011.01.004
   Olazabal M, 2018, LECT N ENERG, V65, P195, DOI 10.1007/978-3-319-75798-8_11
   Olds AD, 2012, J APPL ECOL, V49, P1195, DOI 10.1111/jpe.12002
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Rescia AJ, 2010, LANDSCAPE URBAN PLAN, V98, P26, DOI 10.1016/j.landurbplan.2010.07.007
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Shenyang Survey Team of the National Bureau of Statistics, 2016, SHEN STAT YB
   Silva M, 2017, J PLAN LIT, V32, P346, DOI 10.1177/0885412217706900
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Vale LJ., 2005, RESILIENT CITY MODER, DOI [10.1093/oso/9780195175844.001.0001, DOI 10.1093/OSO/9780195175844.001.0001]
   Walter GM, 2020, NEW PHYTOL, V226, P1312, DOI 10.1111/nph.16453
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Witt E, 2018, PROCEDIA ENGINEER, V212, P970, DOI 10.1016/j.proeng.2018.01.125
   Wu CF, 2014, LANDSCAPE URBAN PLAN, V128, P60, DOI 10.1016/j.landurbplan.2014.04.020
   Xiu C.L., 2003, HUM REPROD, V18, P26, DOI 10.13959/j.issn.1003-2398.2003.05.006
   [修春亮 Xiu Chunliang], 2018, [地理学报, Acta Geographica Sinica], V73, P2315
   Yan SJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124625
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
   Zimba JM, 2019, URBAN STUD, V56, P3556, DOI 10.1177/0042098019876530
NR 59
TC 15
Z9 16
U1 11
U2 146
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1002-0063
EI 1993-064X
J9 CHINESE GEOGR SCI
JI Chin. Geogr. Sci.
PD DEC
PY 2020
VL 30
IS 6
BP 1005
EP 1021
DI 10.1007/s11769-020-1163-7
PG 17
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA PJ1YB
UT WOS:000601571300005
OA hybrid
DA 2025-04-22
ER

PT J
AU Asghari, F
   Piadeh, F
   Egyir, D
   Yousefi, H
   Rizzuto, JP
   Campos, LC
   Behzadian, K
AF Asghari, Fatemeh
   Piadeh, Farzad
   Egyir, Daniel
   Yousefi, Hossein
   Rizzuto, Joseph P.
   Campos, Luiza C.
   Behzadian, Kourosh
TI Resilience Assessment in Urban Water Infrastructure: A Critical Review
   of Approaches, Strategies and Applications
SO SUSTAINABILITY
LA English
DT Review
DE resilience assessment; resilience strategies; urban stormwater and
   wastewater; urban water infrastructure; water supply systems
ID SYSTEM; PERFORMANCE
AB Urban water infrastructure (UWI) comprises the main systems, including water supply systems (WSS), urban drainage/stormwater systems (UDS) and wastewater systems (WWS). The UWI needs to be resilient to a wide range of shocks and stresses, including structural failures such as pipe breakage and pump breakdown and functional failures such as unmet water demand/quality, flooding and combined sewer overflows. However, there is no general consensus about the resilience assessment of these systems widely presented by various research works. This study aims to critically review the approaches, strategies and applications of the resilience assessment for the complex systems in UWI. This review includes examining bibliometric analysis, developed frameworks related to resilience assessment to help comprehend resilience concepts for the specified UWI systems in urban settings, strategies for improving resilience, resilience indicators and common tools used for modelling resilience assessment in UWI. The results indicate that resilience assessment has primarily been conducted in developed countries, underscoring the macroeconomic significance of UWI. Three key areas have been identified for analysing resilience in UWI: system design, development of resilience concepts and implementation of green infrastructure. Moreover, it has been discovered that although resilience is commonly defined using technical approaches, a more comprehensive understanding of resilience can be gained through a holistic approach. Furthermore, while strategies such as system upgrades, decentralisation, digitalisation and nature-based solutions can enhance UWI resilience, they may be insufficient to fulfil all resilience indicators. To address the challenge of effectively comparing different resilience options, it is crucial to extensively examine comprehensive and sustainability-based indicators in future research.
C1 [Asghari, Fatemeh; Yousefi, Hossein] Univ Tehran, Fac New Sci & Technol, Tehran 6718773654, Iran.
   [Piadeh, Farzad; Egyir, Daniel; Rizzuto, Joseph P.; Behzadian, Kourosh] Univ West London, Sch Comp & Engn, London W5 5RF, England.
   [Campos, Luiza C.; Behzadian, Kourosh] UCL, Dept Civil Environm & Geomat Engn, Gower St, London WC1E 6BT, England.
C3 University of Tehran; University of West London; University of London;
   University College London
RP Behzadian, K (corresponding author), Univ West London, Sch Comp & Engn, London W5 5RF, England.; Behzadian, K (corresponding author), UCL, Dept Civil Environm & Geomat Engn, Gower St, London WC1E 6BT, England.
EM 23004481@massey.ac.nz; farzad.piadeh@uwl.ac.uk; daniel.egyir@uwl.ac.uk;
   hosseinyousefi@ut.ac.ir; joseph.rizzuto@uwl.ac.uk; l.campos@ucl.ac.uk;
   kourosh.behzadian@uwl.ac.uk
RI Piadeh, Farzad/HTS-1225-2023; Behzadian, Kourosh/IVU-6500-2023; Asghari,
   Fatemeh/ITT-2609-2023; Campos, Luiza Cintra/M-3740-2018; Yousefi,
   Hossein/ABB-7411-2021
OI Campos, Luiza Cintra/0000-0002-2714-7358; Behzadian,
   Kourosh/0000-0002-1459-8408; Yousefi, Hossein/0000-0002-6372-5127;
   Piadeh, Farzad/0000-0002-4958-6968
CR Ashley R, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0214
   Assad A, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127522
   Bach PM, 2014, ENVIRON MODELL SOFTW, V54, P88, DOI 10.1016/j.envsoft.2013.12.018
   Bakhshipour AE, 2021, WATER-SUI, V13, DOI 10.3390/w13030269
   Balaei B, 2021, SOCIO-ECON PLAN SCI, V76, DOI 10.1016/j.seps.2020.100961
   Beceiro P, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062537
   Behzadian K, 2015, RESOUR CONSERV RECY, V99, P84, DOI 10.1016/j.resconrec.2015.03.015
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Boulos PF, 2017, WATER RESOUR MANAG, V31, P3177, DOI 10.1007/s11269-017-1699-1
   Busker T, 2022, J ENVIRON MANAGE, V301, DOI 10.1016/j.jenvman.2021.113750
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Cardoso MA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062349
   Casal-Campos A, 2018, ENVIRON SCI TECHNOL, V52, P9008, DOI 10.1021/acs.est.8b01193
   Cea L, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9030050
   Cecconet D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010116
   Chakraborty T, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103826
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Cheng Y, 2022, INT J PROD RES, V60, P595, DOI 10.1080/00207543.2021.1971789
   D'Ambrosio R, 2021, WATER-SUI, V13, DOI 10.3390/w13243635
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   Ebrahimi AH, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103884
   Fonseca K, 2022, J CLEAN PROD, V377, DOI 10.1016/j.jclepro.2022.134246
   Francisco THS, 2023, INFRASTRUCTURES-BASE, V8, DOI 10.3390/infrastructures8010005
   Fu G., 2021, WATER WISE CITIES SU, P3, DOI [10.2166/9781789060768_0003, DOI 10.2166/9781789060768_0003]
   Fu GT, 2020, WATER-SUI, V12, DOI 10.3390/w12061789
   Futter M., 2019, COMMENTARY MOSTLY HY, DOI [10.1007/978-3-030-23842-1_4, DOI 10.1007/978-3-030-23842-1_4]
   Guo D, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11100464
   Guptha GC, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101075
   Hall Jim W., 2019, Water Security, V8, P25, DOI 10.1016/j.wasec.2019.100052
   Hochrainer-Stigler S, 2020, J ENVIRON MANAGE, V276, DOI 10.1016/j.jenvman.2020.111332
   Hosseinzadeh A, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12890
   Jato-Espino D, 2022, SCI TOTAL ENVIRON, V817, DOI 10.1016/j.scitotenv.2022.152959
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Joyce J, 2018, ENVIRON MODELL SOFTW, V100, P82, DOI 10.1016/j.envsoft.2017.11.008
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   Judeh T, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159271
   Karami M, 2022, URBAN WATER J, V19, P1066, DOI 10.1080/1573062X.2022.2117632
   Kordana S, 2020, SCI TOTAL ENVIRON, V727, DOI 10.1016/j.scitotenv.2020.138711
   Landa-Cansigno O, 2020, ENVIRON SCI POLLUT R, V27, P4582, DOI 10.1007/s11356-019-05465-8
   Lee K., 2020, Water Secur., V11, DOI [10.1016/j.wasec.2020.100073 10.1016/j.wasec.2020.100073, DOI 10.1016/J.WASEC.2020.100073, 10.1016/j.wasec.2020.100073]
   Leigh NG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030918
   Liu W, 2021, J HYDROL, V602, DOI 10.1016/j.jhydrol.2021.126786
   Ma YC, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.139078
   Maniam G, 2022, WIRES WATER, V9, DOI 10.1002/wat2.1588
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   Mehvar S, 2021, NAT HAZARD EARTH SYS, V21, P1383, DOI 10.5194/nhess-21-1383-2021
   Moisès DJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010524
   Mousavi S, 2023, ENERG BUILDINGS, V291, DOI 10.1016/j.enbuild.2023.113111
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Muhammed K, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000770
   Naghedi R, 2020, J CLEAN PROD, V257, DOI 10.1016/j.jclepro.2020.120464
   Nakhaei M, 2023, ECOL INDIC, V153, DOI 10.1016/j.ecolind.2023.110457
   Nikolopoulos D, 2019, WATER-SUI, V11, DOI 10.3390/w11020330
   O'Donnell E, 2020, BLUE-GREEN SYST, V2, P28, DOI 10.2166/bgs.2019.199
   O'Donnell EC, 2020, J AM WATER RESOUR AS, V56, P757, DOI 10.1111/1752-1688.12854
   Oberascher M, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103442
   Oberascher M, 2021, WATER-SUI, V13, DOI 10.3390/w13141902
   Pamidimukkala A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132312986
   Patra D, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103318
   Piadeh F, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127476
   Piadeh F, 2018, J CLEAN PROD, V201, P958, DOI 10.1016/j.jclepro.2018.08.052
   Poch M, 2023, CHEMOSPHERE, V317, DOI 10.1016/j.chemosphere.2023.137850
   Pokhrel SR, 2023, SUSTAIN PROD CONSUMP, V36, P62, DOI 10.1016/j.spc.2022.12.005
   Pokhrel SR, 2022, ENVIRON REV, V30, P10, DOI 10.1139/er-2020-0090
   Quitana G, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101575
   Rahimi-Golkhandan A, 2022, SOCIO-ECON PLAN SCI, V80, DOI 10.1016/j.seps.2021.101166
   Rahmani F, 2018, J WATER RES PLAN MAN, V144, DOI [10.1061/(ASCE)WR.1943-5452.0000941, 10.1061/(asce)wr.1943-5452.0000941]
   Rahmani F, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000587
   Rasoulkhani K, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101577
   Rentachintala LRNP, 2022, WATER SCI TECHNOL, V85, P1120, DOI 10.2166/wst.2022.017
   Ro B, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103474
   Rodriguez M, 2021, WATER-SUI, V13, DOI 10.3390/w13131789
   Saikia P, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103497
   Schoen M., 2015, Sustainability of Water Quality and Ecology, V6, P75, DOI DOI 10.1016/J.SWAQE.2015.05.001
   Sweetapple C, 2019, WATER RES, V149, P448, DOI 10.1016/j.watres.2018.11.025
   Tuptuk N, 2021, WATER-SUI, V13, DOI 10.3390/w13010081
   Valizadeh N, 2019, WATER RESOUR MANAG, V33, P4417, DOI 10.1007/s11269-019-02361-1
   van Duin B, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.671059
   Vercruysse K, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12535
   World Bank, 2020, Resilient water infrastructure design brief, DOI [10.1596/34448, DOI 10.1596/34448]
   World Health Organization, 2022, Strong systems and sound investments: evidence on and key insights into accelerating progress on sanitation
   WWAP/UN-Water, 2018, The United Nations World Water Development Report 2018: Nature-Based Solutions for Water
   Yuan FX, 2021, SAFETY SCI, V134, DOI 10.1016/j.ssci.2020.105079
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhang QZ, 2020, WATER RES, V172, DOI 10.1016/j.watres.2020.115527
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zhou JZ, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109730
   Zuloaga S, 2021, IEEE OP AC J POW ENE, V8, P229, DOI 10.1109/OAJPE.2021.3084577
NR 89
TC 8
Z9 8
U1 28
U2 121
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 14
AR 11151
DI 10.3390/su151411151
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 N3VR0
UT WOS:001036333200001
OA Green Accepted, Green Published, gold
DA 2025-04-22
ER

PT J
AU Han, SY
   Sim, J
   Kwon, Y
AF Han, Soyoung
   Sim, Jisoo
   Kwon, Yoonku
TI Recognition Changes of the Concept of Urban Resilience: Moderating
   Effects of COVID-19 Pandemic
SO LAND
LA English
DT Article
DE urban resilience; sustainability; landscape architecture; recognition;
   COVID-19
ID SUSTAINABLE DEVELOPMENT; DISASTER RESILIENCE; SYSTEMS; FRAMEWORK;
   DECISION; HEALTH
AB Urban resilience, which has emerged as an important concept in cities since sustainability became a 21st-century urban paradigm, reflects the needs of the times to change and bring about a shift in existing national landscape architecture and social policies. To explore the characteristics of recognition of college students majoring in landscape architecture towards the concept of urban resilience before and after the beginning of COVID-19, this study aims to answer three research questions: to analyzes recognitions of landscape architecture majoring students on urban resilience (research question 1); to compare the differences that emerge from before and after the beginning of the COVID-19 pandemic (research question 2); and to explore latent classes according to the education pattern (research question 3). The results of this study are as follows: First, before the beginning of COVID-19, four latent classes were drawn up in relation to awareness of the concept of urban resilience, while three latent classes were examined after the start of the pandemic. Before the beginning of COVID-19, students of landscape architecture accepted the concept of urban resilience as a physical and environmental approach to overcome risk factors by creating landscape architecture and infrastructure or applying the concept of resilience in urban development and redevelopment. However, after the beginning of COVID-19, they mostly have been recognized urban resilience as a concept related to technological ability. Thirdly, the grades and educational experiences of the students were found to have a significant effect on the probability of their belonging to a specific latent class.
C1 [Han, Soyoung] Virginia Tech, Coll Architecture & Urban Studies, Blacksburg, VA 24060 USA.
   [Sim, Jisoo] Korea Res Inst Human Settlements, Sejong 30147, South Korea.
   [Kwon, Yoonku] Chonnam Natl Univ, Dept Landscape Architecture, Gwangju 61186, South Korea.
C3 Virginia Polytechnic Institute & State University; Chonnam National
   University
RP Kwon, Y (corresponding author), Chonnam Natl Univ, Dept Landscape Architecture, Gwangju 61186, South Korea.
EM syhan@vt.edu; jisoosim@krihs.re.kr; ykkwon@chonnam.ac.kr
OI Kwon, Yoonku/0000-0003-4278-4272; Han, Soyoung/0000-0001-5609-9044
FU National Research Foundation of Korea (NRF) - Korea government (MSIT)
   [2021R1G1A1005347]
FX FundingThis work was supported by the National Research Foundation of
   Korea (NRF) grant funded by the Korea government (MSIT) (No.
   2021R1G1A1005347).
CR ADB, 2014, Urban Climate change Resilience: A Synopsis
   Alberti M, 1996, ENVIRON IMPACT ASSES, V16, P381, DOI 10.1016/S0195-9255(96)00083-2
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2013, INF RAUMENTWICKL
   Arafah Y, 2018, IOP C SER EARTH ENV, V158, DOI 10.1088/1755-1315/158/1/012045
   [Arup Ove Partners and the Rockefeller Foundation Partners and the Rockefeller Foundation], 2014, City Resilience Framework, City Resilience Index
   Bradley P, 2019, J CLEAN PROD, V209, P333, DOI 10.1016/j.jclepro.2018.10.184
   BRUNDTLAND GH, 1987, ENVIRON CONSERV, V14, P291, DOI 10.1017/S0376892900016805
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Celeux G, 1996, J CLASSIF, V13, P195, DOI 10.1007/BF01246098
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chelleri L, 2015, HABITAT INT, V48, P122, DOI 10.1016/j.habitatint.2015.03.016
   Cheshmehzangi Ali, 2020, Health, V12, P1390, DOI 10.4236/health.2020.1210101
   Choi J.-W., 2010, J KOREAN SOC IND CON, V13, P183
   Cicchetti D, 2010, WORLD PSYCHIATRY, V9, P145, DOI 10.1002/j.2051-5545.2010.tb00297.x
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dobson S, 2017, INT J DISAST RISK RE, V26, P78, DOI 10.1016/j.ijdrr.2017.09.028
   Dourish P., 1992, CSCW '92. Sharing Perspectives. Proceedings of the Conference on Computer-Supported Cooperative Work, P107, DOI 10.1145/143457.143468
   Elmqvist T., 2014, RESILIENT SUSTAINABL, P19, DOI [10.4324/9780203593066, DOI 10.4324/9780203593066]
   Evans B., 2006, Journal of Environmental Planning and Management, V49, P849, DOI [10.1080/09640560600946875, DOI 10.1080/09640560600946875]
   Evans B, 2016, DISP, V52, P86, DOI 10.1080/02513625.2016.1171053
   Fabbricatti K., 2020, City, Territory and Architecture, V7, P1, DOI DOI 10.1186/S40410-020-00126-7
   Feliciotti A, 2017, URBAN MORPHOL, V21, P61
   Figueira J., 2005, Multiple Criteria Decision Analysis : State of the art Surveys, DOI [10.1007/b100605, DOI 10.1007/b100605]
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fouda A, 2020, HEALTH POLICY TECHN, V9, P510, DOI 10.1016/j.hlpt.2020.08.015
   Gholami A, 2016, IEEE T SMART GRID, V7, P2849, DOI 10.1109/TSG.2016.2598802
   GOODMAN LA, 1974, BIOMETRIKA, V61, P215, DOI 10.2307/2334349
   Greco S., 2016, MULTIPLE CRITERIA DE, V37
   Greene R, 2011, GEOGR COMPASS, V5, P412, DOI 10.1111/j.1749-8198.2011.00431.x
   Grove K, 2014, ENVIRON PLANN D, V32, P240, DOI 10.1068/d4813
   Hale JD, 2012, P I CIVIL ENG-ENG SU, V165, P59, DOI 10.1680/ensu.2012.165.1.59
   Han S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195464
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hudson R, 2008, INT J INNOV SUSTAIN, V3, P166, DOI 10.1504/IJISD.2008.022224
   Hyun Eunmin, 2007, [J. of Korean Home Management Association, 한국가정관리학회지], V25, P107
   Estrada-Vidal LI, 2017, PROCD SOC BEHV, V237, P386, DOI 10.1016/j.sbspro.2017.02.030
   Jaegal Don, 2004, [Korean Public Administration Review, 한국행정학보], V38, P201
   Jensen B. B., 1997, Environmental Education Research, V3, P163, DOI [https://doi.org/10.1080/1350462970030205, DOI 10.1080/1350462970030205, 10.1080/1350462970030205]
   Johnson C., 2012, MY CITY IS GETTING R
   JU NG EUN, 2016, [Journal of The Korean Regional Development Association, 한국지역개발학회지], V28, P87
   Kalantari Z., 2021, ENLIVENING OUR CITIE
   Kang D, 2020, INT J INFECT DIS, V94, P96, DOI 10.1016/j.ijid.2020.03.076
   Kim HK, 2011, J KOREAN ACAD NURS, V41, P642, DOI 10.4040/jkan.2011.41.5.642
   Krasny ME, 2009, ENVIRON EDUC RES, V15, P465, DOI 10.1080/13504620903003290
   Lanza S.T., 2009, LATENT CLASS LATENT, V718
   Lanza ST, 2007, STRUCT EQU MODELING, V14, P671, DOI 10.1080/10705510701575602
   LAZARSFELD P. F., 1968, Latent Structure Analysis
   Lee S., 2006, ENV ED, V19, P5464
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Liang ZF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042082
   LopezDeAsiain M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187305
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Moglia M, 2021, DEV BUILT ENVIRON, V7, DOI 10.1016/j.dibe.2021.100052
   Nesticò A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174526
   O'Rourke T.D., 2007, Bridge-Washington-National Academy of Engineering, V37, P22
   OECD, 2014, REV RISK MAN POL BOO
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Papadopoulos T, 2017, J CLEAN PROD, V142, P1108, DOI 10.1016/j.jclepro.2016.03.059
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Romero-Lankao P, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121224
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   SDGs U., 2015, United Nations
   Shaw K., 2013, PUBLIC POLICY ADMIN, V28, P43, DOI [DOI 10.1177/0952076711432578, 10.1177/0952076711432578]
   Shen LY, 2011, HABITAT INT, V35, P17, DOI 10.1016/j.habitatint.2010.03.006
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Stockholm Resilience Centre, WHAT IS RES
   Swanstrom Todd., 2008, REGIONAL RESILIENCE
   Takewaki I, 2011, SUSTAIN CITIES SOC, V1, P3, DOI 10.1016/j.scs.2010.08.002
   Timmermann P., 1981, ENV MONOGRAPH, V1, P1
   Timon M, 2014, URBAN ECOL NEW SCH N
   Toubin M, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000229
   Tuncer G, 2008, INT RES GEOGR ENVIRO, V17, P212, DOI 10.1080/10382040802168297
   Turcu C, 2013, J ENVIRON PLANN MAN, V56, P695, DOI 10.1080/09640568.2012.698984
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Vaidya OS, 2006, EUR J OPER RES, V169, P1, DOI 10.1016/j.ejor.2004.04.028
   Vale L., 2002, RESILIENT CITY TRAUM
   Walker B., RESILIENCE THINKING, P2012
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Yamamoto D, 2011, GEOGR COMPASS, V5, P723, DOI 10.1111/j.1749-8198.2011.00448.x
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zuniga-Teran AA, 2020, CURR OPIN ENV SUST, V44, P42, DOI 10.1016/j.cosust.2020.05.001
NR 85
TC 7
Z9 7
U1 5
U2 46
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD OCT
PY 2021
VL 10
IS 10
AR 1099
DI 10.3390/land10101099
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA XJ5RA
UT WOS:000726843600001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Wu, YW
   Yu, GY
   Shao, QX
AF Wu, Yawen
   Yu, Guangyuan
   Shao, Quanxi
TI Resilience benefit assessment for multi-scale urban flood control
   programs
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Resilience benefit; Urban flood; Urban flood control system; Urban flood
   control program; Multi-scale; Optimal configuration
AB Urban flood frequencies have increased and will continuously increase due to global climate change and rapid urbanization, causing enormous economic problems and social impact. Resistant strategies are no longer the best option for disaster mitigation. Improving cities' resilience to external disruptions is becoming a more important method for mitigating the impact of urban flooding. However, there are relatively little research has been conducted on the resilience of urban flood control systems. The introduction of the concept of resilience can provide a new way of thinking for urban flood control research, which can help to understand the coping process of the system during heavy rainfall, emphasizing the absorption, resistance, and recovery stages to improve the system's adaptability to the changing environment and effectively alleviate the pressure of urban flooding. This study discusses the impact of the design and configuration of urban flood control programs on the resilience of the system under heavy rainfall. Moreover, the resilience benefit is presented to quantify the phased process of system resilience capacity for measuring the quantitative relationship between programs and system resilience. Finally, the unit annual average cost of the program is combined with the resilience benefit to make decisions and ensure that cities are effectively reducing the risk of urban flooding with the optimal alternatives. The proposed framework was applied to Zhangjiagang City, a highly urbanized and densely populated city in China. The results showed that (1) during the same rainfall event, the hydrological indicators characterizing the system's resilience process (absorption, resistance, and recovery) have distinct weights; (2) rainfall has an effect on the index weight, and the weight fluctuates when the system responds to rainfall in distinct return periods; (3) rainfall return periods can have an impact on a program's effectiveness in improving the system's resilience at various stages, and the extent to which different programs are affected by the return period varies; and (4) combining large-scale and micro-scale programs improve the resilience of the system more effectively, whereas concentrating on expanding storage volume without raising the water surface rate improves the resilience of the system less effective. This framework can be used to assess the improvements in resilience acquired from various urban flood control program configurations and to assist city planners in selecting the optimal configuration, so assisting in the decision-making process for urban planning and disaster mitigation.
C1 [Wu, Yawen] Shandong Agr Univ, Tai An 271018, Shandong, Peoples R China.
   [Wu, Yawen; Shao, Quanxi] Commonwealth Sci & Ind Res Org, Wembley, WA 6155, Australia.
   [Yu, Guangyuan] Shandong Agr Univ Survey & Design Inst, Tai An 271018, Shandong, Peoples R China.
C3 Shandong Agricultural University; Commonwealth Scientific & Industrial
   Research Organisation (CSIRO)
RP Wu, YW (corresponding author), Shandong Agr Univ, Tai An 271018, Shandong, Peoples R China.
EM yawen.wu@sdau.edu.cn
RI Shao, Quanxi/A-2028-2009
OI Shao, Quanxi/0000-0002-9768-137X; WU, YAWEN/0009-0003-7981-6853
FU Shandong Agricultural University
FX This research is funded by the Shandong Agricultural University.
CR [Anonymous], 2012, UNEP-GEO 5
   Ashley R., 2007, Advances in Urban Flood Management
   Awadallah AG, 2015, J FLOOD RISK MANAG, V8, P195, DOI 10.1111/jfr3.12085
   Batica J, 2016, PROCEDIA ENGINEER, V154, P811, DOI 10.1016/j.proeng.2016.07.411
   Bedan ES, 2009, J AM WATER RESOUR AS, V45, P998, DOI 10.1111/j.1752-1688.2009.00342.x
   Bennis S, 2007, J HYDROL ENG, V12, P540, DOI 10.1061/(ASCE)1084-0699(2007)12:5(540)
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bowker P., 2007, DEFRA REPORT
   Buijs J., 2018, P 16 M ADAPTIVE PLAN
   Burszta-Adamiak E, 2013, WATER SCI TECHNOL, V68, P36, DOI 10.2166/wst.2013.219
   Cables E, 2012, EXPERT SYST APPL, V39, P2119, DOI 10.1016/j.eswa.2011.07.119
   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
   Chen PY, 2019, EXPERT SYST APPL, V136, P33, DOI 10.1016/j.eswa.2019.06.035
   Choi G., 2010, P KOR WAT RES ASS C, V5, P620
   Chui TFM, 2016, J HYDROL, V533, P353, DOI 10.1016/j.jhydrol.2015.12.011
   De Bruijn K.M., 2005, Resilience and flood risk management: A systems approach applied to lowland rivers
   Delgado A, 2016, ENVIRON MODELL SOFTW, V77, P108, DOI 10.1016/j.envsoft.2015.12.011
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Dufty N., 2013, P 8 VICTORIAN FLOOD
   Dunnett Nigel, 2008, Urban Ecosystems, V11, P385, DOI 10.1007/s11252-008-0064-9
   Fang X, 2017, FRONT ENV SCI ENG, V11, DOI 10.1007/s11783-017-0935-5
   Fryd O, 2013, WATER SCI TECHNOL, V67, P1945, DOI 10.2166/wst.2013.073
   Hegger DLT, 2014, WATER RESOUR MANAG, V28, P4127, DOI 10.1007/s11269-014-0732-x
   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
   Hsu PF, 2008, QUAL QUANT, V42, P181, DOI 10.1007/s11135-006-9040-8
   Jacobson CR, 2011, J ENVIRON MANAGE, V92, P1438, DOI 10.1016/j.jenvman.2011.01.018
   Ji Y, 2015, EXPERT SYST APPL, V42, P5380, DOI 10.1016/j.eswa.2014.12.026
   Jin C., 2010, China Water Wastewater, V1
   Joyce J, 2017, ENVIRON MODELL SOFTW, V90, P1, DOI 10.1016/j.envsoft.2016.11.026
   Kelemenis A, 2010, EXPERT SYST APPL, V37, P4999, DOI 10.1016/j.eswa.2009.12.013
   Kong FH, 2017, ENVIRON MODELL SOFTW, V95, P132, DOI 10.1016/j.envsoft.2017.06.021
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Krohling RA, 2011, EXPERT SYST APPL, V38, P4190, DOI 10.1016/j.eswa.2010.09.081
   Kuhlicke C, 2013, NAT HAZARDS, V67, P61, DOI 10.1007/s11069-010-9646-y
   Kusumastuti RD, 2014, INT J DISAST RISK RE, V10, P327, DOI 10.1016/j.ijdrr.2014.10.007
   Lawrence J, 2013, ENVIRON SCI POLICY, V33, P133, DOI 10.1016/j.envsci.2013.05.008
   [李大龙 Li Dalong], 2017, [地理科学进展, Progress in Geography], V36, P1402
   Li Q, 2019, J ENVIRON MANAGE, V231, P10, DOI 10.1016/j.jenvman.2018.10.024
   Li XN, 2016, WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2016: WATERSHED MANAGEMENT, IRRIGATION AND DRAINAGE, AND WATER RESOURCES PLANNING AND MANAGEMENT, P295
   Line DE, 2007, WATER ENVIRON RES, V79, P185, DOI 10.2175/106143006X111736
   Liu DD, 2012, WATER RESOUR MANAG, V26, P3743, DOI 10.1007/s11269-012-0100-7
   [刘俊 Liu Jun], 2018, [水科学进展, Advances in Water Science], V29, P898
   Liu YZ, 2015, J ENVIRON MANAGE, V147, P12, DOI 10.1016/j.jenvman.2014.09.005
   McEwen L., 2012, Flood Histories, Flood Memories and Informal Flood Knowledge in the Development of Community Resilience to Future Flood Risk
   Mei C, 2018, SCI TOTAL ENVIRON, V639, P1394, DOI 10.1016/j.scitotenv.2018.05.199
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Miller NL, 2009, J AM WATER RESOUR AS, V45, P857, DOI 10.1111/j.1752-1688.2009.00329.x
   Ministry of Housing and Urban-Rural Development of the People's Republic of China (MOHURD) General Administration of Quality Supervision Inspection and Quarantine of the people's Republic of China, 2016, CODE DESIGN OUTDOOR
   MOHURD, 2014, Technical Guidelines for Sponge City Construction (for Trial Implementation)
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nash JE., 1970, J Hydrol, V10, P282, DOI [DOI 10.1016/0022-1694, 10.1016/0022-1694(70)90255-6, DOI 10.1016/0022-1694(70)90255-6]
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Palanisamy B, 2015, J HYDROL, V523, P309, DOI 10.1016/j.jhydrol.2015.01.034
   Palla A, 2015, J HYDROL, V528, P361, DOI 10.1016/j.jhydrol.2015.06.050
   Peng HQ, 2015, ENVIRON SCI POLLUT R, V22, P15712, DOI 10.1007/s11356-015-4707-0
   Plate EJ, 2002, J HYDROL, V267, P2, DOI 10.1016/S0022-1694(02)00135-X
   Rahman AS, 2013, NAT HAZARDS, V69, P1803, DOI 10.1007/s11069-013-0775-y
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Rossman L., 2015, Storm Water Management Model User's Manual Version 5.1 353
   Sayers P., 2013, FLOOD RISK MANAGEMEN
   Shih HS, 2007, MATH COMPUT MODEL, V45, P801, DOI 10.1016/j.mcm.2006.03.023
   Tavakol-Davani H, 2016, J SUSTAIN WATER BUIL, V2, DOI 10.1061/JSWBAY.0000805
   Nguyen TT, 2019, SCI TOTAL ENVIRON, V652, P147, DOI 10.1016/j.scitotenv.2018.10.168
   Tourbier J., 2012, EGUGA
   Vis M., 2003, International Journal of River Basin Management, V1, P33, DOI [10.1080/15715124.2003.9635190, DOI 10.1080/15715124.2003.9635190]
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Vojinovic Z, 2014, J HYDROINFORM, V16, P1044, DOI 10.2166/hydro.2014.223
   Wang H, 2018, SCI CHINA TECHNOL SC, V61, P317, DOI 10.1007/s11431-017-9170-5
   Wang MM, 2017, J ENVIRON MANAGE, V201, P145, DOI 10.1016/j.jenvman.2017.06.034
   Wu YW, 2020, WATER POLICY, V22, P574, DOI 10.2166/wp.2020.155
   Xie JQ, 2017, ENVIRON MODELL SOFTW, V95, P143, DOI 10.1016/j.envsoft.2017.06.027
   Xu M, 2012, ADV WATER RESOUR, V49, P37, DOI 10.1016/j.advwatres.2012.07.004
   Zahmatkesh Z, 2015, J IRRIG DRAIN ENG, V141, DOI 10.1061/(ASCE)IR.1943-4774.0000770
   Zevenbergen C, 2008, J FLOOD RISK MANAG, V1, P81, DOI 10.1111/j.1753-318X.2008.00010.x
   Zevenbergen C., 2007, Advances in urban flood management, P1, DOI [10.1201/9780203945988.ch1, DOI 10.1201/9780203945988, DOI 10.1201/9780203945988.CH1]
   Zhang K, 2018, SCI TOTAL ENVIRON, V621, P915, DOI 10.1016/j.scitotenv.2017.11.281
   [张灵 Zhang Ling], 2011, [水利学报, Journal of Hydraulic Engineering], V42, P1129
   [张子贤 Zhang Zixian], 2013, [水利学报, Journal of Hydraulic Engineering], V44, P1263
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
   Zhi-Hong Z, 2006, J ENVIRON SCI, V18, P1020, DOI 10.1016/S1001-0742(06)60032-6
NR 85
TC 26
Z9 27
U1 26
U2 56
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD OCT
PY 2022
VL 613
AR 128349
DI 10.1016/j.jhydrol.2022.128349
PN A
PG 18
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA VN6QK
UT WOS:001182232300001
DA 2025-04-22
ER

PT J
AU Zhang, QR
   Ma, HZ
   Zhu, XT
   Xu, SJ
AF Zhang, Qiongrui
   Ma, Hongzhi
   Zhu, Xuetong
   Xu, Songjun
TI The Driving Effects of Ecosystem Services on Urban Ecological Resilience
   in Urban Agglomeration
SO ECOSYSTEM HEALTH AND SUSTAINABILITY
LA English
DT Article
ID SECURITY
AB Urban ecological resilience (UER) is a fundamental requirement for sustainable urban development. Ecosystem services (ESs) support urban resilience in many ways; however, it remains unknown how the various ES types affect UER. In this study, 10 ESs were selected to characterize the 4 types of ES in the Pearl River Delta urban agglomeration (PRD), and the InVEST model, CASA model, and nuclear density analysis were used to evaluate the various ESs. We used a morphological resilience-density resilience- economic resilience framework to assess UER, and the structure equation model was used to explore the effects of ESs on UER. Results showed that: (a) Supporting ecosystem service significantly and positively drives UER through the provision ecosystem service and regulation ecosystem service, while supporting ecosystem service has a negative effect on cultural ecosystem service, and cultural ecosystem service has no significant effect on UER. (b) In 2020, except for water yield, water purification, nature education, and recreation service, the distributions of ESs in the periphery of the study area were higher than those in the central. (c) In the PRD, counties with high economic resilience tend to have lower morphological resilience and density resilience. This empirical study examined the driving effects of various ESs on UER and validated the multilevel guarantee of ESs for urban ecology, which can provide more effective references for the sustainable development of urban agglomerations.
C1 [Zhang, Qiongrui; Ma, Hongzhi; Zhu, Xuetong] Chaohu Univ, Sch Tourism Management, Hefei 238024, Peoples R China.
   [Xu, Songjun] South China Normal Univ, Sch Geog, Guangzhou 510631, Peoples R China.
C3 Chaohu University; South China Normal University
RP Xu, SJ (corresponding author), South China Normal Univ, Sch Geog, Guangzhou 510631, Peoples R China.
EM xusj@scnu.edu.cn
RI Hongzhi, Ma/JPL-9407-2023
FU Chaohu University for the Start-UP grant [KYQD-2023068]; National
   Natural Science Foundation of China [42376226]
FX Funding: This work was supported by Chaohu University for the Start-UP
   grant (grant number KYQD-2023068) and the National Natural Science
   Foundation of China (grant number 42376226) . Author contributions: Q.Z.
   conceived the idea and finished the first draft manuscript. H.M. and
   X.Z. collected and analyzed data. S.X. edited the manuscripts. Competing
   interests: The authors declare that there is no con-flict of interest
   regarding the publication of this article.
CR Andersson E, 2015, ECOSYST SERV, V12, P165, DOI 10.1016/j.ecoser.2014.08.002
   Bai Y, 2020, SCI TOTAL ENVIRON, V716, DOI 10.1016/j.scitotenv.2020.137083
   Caro C, 2020, ECOL INDIC, V115, DOI 10.1016/j.ecolind.2020.106426
   Cortinovis C, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100946
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Cui WJ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112092
   Cumming GS, 2013, LANDSCAPE ECOL, V28, P1139, DOI 10.1007/s10980-012-9725-4
   Felipe-Lucia MR, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0132232
   Feng XH, 2020, CHINESE GEOGR SCI, V30, P1005, DOI 10.1007/s11769-020-1163-7
   Grace J. B., 2006, STRUCT EQ MOD NAT
   Hair J.F., 2009, MULTIVARIATE DATA AN
   Hamel P, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.601136
   Hariyanto AD, 2021, Science., V780
   Havinga I, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101091
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Karimi JD, 2021, LANDSCAPE ECOL, V36, P1817, DOI 10.1007/s10980-021-01252-4
   Kong LQ, 2018, SCI TOTAL ENVIRON, V631-632, P887, DOI 10.1016/j.scitotenv.2018.03.117
   Kouklis GR, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5020037
   Leal W, 2020, J CLEAN PROD, V262, DOI 10.1016/j.jclepro.2020.121338
   Li HW, 2020, LAND-BASEL, V9, DOI 10.3390/land9120480
   Li ZT, 2019, ECOL INDIC, V101, P595, DOI 10.1016/j.ecolind.2019.01.067
   Liang J, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123851
   Liu M.C., 2014, TEMPORAL DYNAMICS SP, P006
   Liu W, 2019, ECOL INDIC, V98, P228, DOI 10.1016/j.ecolind.2018.10.054
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   Ma HQ, 2022, ECOL ECON, V201, DOI 10.1016/j.ecolecon.2022.107555
   Maes J, 2012, BIOL CONSERV, V155, P1, DOI 10.1016/j.biocon.2012.06.016
   Milcu AI, 2013, ECOL SOC, V18, DOI 10.5751/ES-05790-180344
   Mp A, 2015, Ecosyst Serv., V12, P152
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   Province SBoG, 2021, Guangdong statistical yearbook.
   Rimal B, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100963
   Sahle M, 2019, SCI TOTAL ENVIRON, V646, P573, DOI 10.1016/j.scitotenv.2018.07.347
   SBoG Province, 2021, Guangdong Statistical Yearbook.
   Spangenberg JH, 2010, ECOL COMPLEX, V7, P327, DOI 10.1016/j.ecocom.2010.04.007
   Su CH, 2020, LAND DEGRAD DEV, V31, P1408, DOI 10.1002/ldr.3536
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Wang C, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.151310
   Wang P, 2021, NAT HAZARDS, V109, P2575, DOI 10.1007/s11069-021-04933-0
   Wang S., 2020, J HUM SETTL W CHINA, V35, P82, DOI [10.13791/j.cnki.hsfwest.20200112, DOI 10.13791/J.CNKI.HSFWEST.20200112]
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang WJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166675
   Yang Y, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102644
   Zafar MW, 2019, RESOUR POLICY, V63, DOI 10.1016/j.resourpol.2019.101428
   Zhang QR, 2023, LAND-BASEL, V12, DOI 10.3390/land12051089
   Zhang QR, 2022, J HYDROL-REG STUD, V44, DOI 10.1016/j.ejrh.2022.101278
   Zhang QR, 2022, FORESTS, V13, DOI 10.3390/f13091368
   [张雪莹 Zhang Xueying], 2017, [水土保持学报, Journal of Soil and Water Conservation], V31, P184
   Zhu CM, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106654
   Zuniga-Teran AA, 2020, CURR OPIN ENV SUST, V44, P42, DOI 10.1016/j.cosust.2020.05.001
NR 50
TC 0
Z9 0
U1 43
U2 51
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 JUL 26
PY 2024
VL 10
AR 0207
DI 10.34133/ehs.0207
PG 10
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA A9H8X
UT WOS:001285587100001
OA gold
DA 2025-04-22
ER

PT J
AU Dai, DH
   Dong, W
   Wang, YW
   Liu, SN
   Zhang, JY
AF Dai, Donghui
   Dong, Wen
   Wang, Yaowu
   Liu, Shennan
   Zhang, Jingyuan
TI Exploring the relationship between urban residents' emotional changes
   and built environment before and during the COVID-19 pandemic from the
   perspective of resilience
SO CITIES
LA English
DT Article
DE Urban resilience; Emotional changes; Built environment attributes;
   Social media; COVID-19 pandemic
ID SOCIAL MEDIA; SPACE; PERCEPTION; SENTIMENT; HEALTH; PARKS
AB During the COVID-19 pandemic, the emotion of urban residents has been largely affected, resulting in different levels of stress and negative emotions. Emotion is an indispensable component of urban resilience, especially in the post COVID-19 period. The changes in residents' moods have the potential to reflect the degree of resilience of urban space as a carrier of daily urban life. This study used machine learning to analyze residents' emotion changes revealed by their posts in Sina Weibo mobile application, and analyzed urban resilience through exploring the relationship between urban built environment and emotional changes before and during the pandemic, using Shenzhen as an example. Our results illustrated the spatial pattern of emotional changes in Shenzhen, and we found that built environments could enhance urban resilience in two approaches. On one hand, catering, retail and sports facilities are supportive to emotional stability and thus contribute to the relatively steady emotional changes. On the other hand, proximity to open space is related with positive emotion, and thus contributes to higher levels of restoration. In contrast, industrial and urban village land uses are associated with lower levels of emotional resilience. This study explored to assess urban resilience from the perspective of emotional changes, which would provide insights for environmental interventions in the postpandemic era.
C1 [Dai, Donghui; Dong, Wen; Wang, Yaowu; Zhang, Jingyuan] Harbin Inst Technol Shenzhen, Sch Architecture, Shenzhen 518055, Peoples R China.
   [Liu, Shennan] Fuzhou Planning & Design Inst, Fuzhou, Peoples R China.
C3 Harbin Institute of Technology
RP Zhang, JY (corresponding author), Harbin Inst Technol Shenzhen, Sch Architecture, Shenzhen 518055, Peoples R China.
EM dai_donghui@hotmail.com; dongwen@stu.hit.edu.cn; wyw68@hit.edu.cn;
   jwrenren0902@163.com; jingyuanz@u.nus.edu
FU National Natural Science Foundation of China [52108048]; Shenzhen
   Excellent Technology Creative Talents Cultivation Foundation
   [RCBS20210609104539077]
FX This work was supported by the National Natural Science Foundation of
   China (No. 52078159) , the National Natural Science Foundation of China
   (No. 52108048) , and Shenzhen Excellent Technology Creative Talents
   Cultivation Foundation (No. RCBS20210609104539077) .
CR Agustí DPI, 2022, J URBAN DES, V27, P73, DOI 10.1080/13574809.2021.1960155
   Alliance R., 2007, Assessing and managing resilience in social-ecological systems: A practitioners workbook
   Amin S, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103890
   Amirzadeh M, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104326
   Bornioli A, 2019, TRANSPORT RES A-POL, V123, P200, DOI 10.1016/j.tra.2018.12.006
   Burgos D, 2021, TRANSPORT RES E-LOG, V152, DOI 10.1016/j.tre.2021.102412
   Buttazzoni A, 2023, LANDSCAPE URBAN PLAN, V235, DOI 10.1016/j.landurbplan.2023.104736
   Cao G, 2021, COMPUT METH PROG BIO, V212, DOI 10.1016/j.cmpb.2021.106468
   Cao XD, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15020250
   Chai YC, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0278322
   Champlin C, 2023, CITIES, V135, DOI 10.1016/j.cities.2023.104220
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen CX, 2022, SCI TOTAL ENVIRON, V816, DOI 10.1016/j.scitotenv.2021.151605
   Chen J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102892
   Chen L, 2022, CITIES, V127, DOI 10.1016/j.cities.2022.103734
   Chen X, 2021, HEALTH PLACE, V69, DOI 10.1016/j.healthplace.2021.102532
   Chen Z., 2021, Journal of Affective Disorders Reports, V5, DOI [10.1016/j.jadr.2021.100165, DOI 10.1016/J.JADR.2021.100165]
   Cheng T, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.103997
   Cheng YY, 2021, LANDSCAPE URBAN PLAN, V212, DOI 10.1016/j.landurbplan.2021.104118
   Corrêa RE, 2022, SPORTS MED HLTH SCI, V4, P172, DOI 10.1016/j.smhs.2022.04.004
   Del Ser J, 2022, APPL SOFT COMPUT, V118, DOI 10.1016/j.asoc.2022.108526
   Dorostkar E, 2022, CITIES, V127, DOI 10.1016/j.cities.2022.103713
   English M, 2022, PREV MED REP, V25, DOI 10.1016/j.pmedr.2021.101676
   Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766
   Fan YZ, 2021, CONTACT LENS ANTERIO, V44, DOI 10.1016/j.clae.2020.05.001
   Fang J, 2019, INT J DISAST RISK RE, V34, P275, DOI 10.1016/j.ijdrr.2018.11.027
   Flouri E, 2014, J ENVIRON PSYCHOL, V40, P179, DOI 10.1016/j.jenvp.2014.06.007
   Gifford R., 2007, ARCHIT SCI REV, V50, P2, DOI DOI 10.3763/ASRE.2007.5002
   Glasgow TE, 2019, J ENVIRON PSYCHOL, V66, DOI 10.1016/j.jenvp.2019.101345
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Goswami P, 2023, INTEGRATION, V88, P116, DOI 10.1016/j.vlsi.2022.09.006
   Güner O, 2022, ARCH PSYCHIAT NURS, V41, P241, DOI 10.1016/j.apnu.2022.08.002
   Hamidi S, 2020, J AM PLANN ASSOC, V86, P495, DOI 10.1080/01944363.2020.1777891
   Hejazi SJ, 2023, CITIES, V132, DOI 10.1016/j.cities.2022.104075
   Herrmann-Lunecke MG, 2021, TRAVEL BEHAV SOC, V23, P192, DOI 10.1016/j.tbs.2021.01.002
   Hettiarachchi S, 2022, CITIES, V128, DOI 10.1016/j.cities.2022.103789
   Houlden V, 2019, APPL GEOGR, V109, DOI 10.1016/j.apgeog.2019.102036
   Huai S, 2022, LANDSCAPE URBAN PLAN, V218, DOI 10.1016/j.landurbplan.2021.104307
   Huang HF, 2012, J ECON PSYCHOL, V33, P776, DOI 10.1016/j.joep.2012.02.007
   Huang YJ, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102719
   Jin YC, 2022, J PSYCHOSOM RES, V161, DOI 10.1016/j.jpsychores.2022.110976
   Khavarian-Garmsir AR, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102911
   Kim J, 2018, INT J INFORM MANAGE, V40, P153, DOI 10.1016/j.ijinfomgt.2018.02.003
   Kong LQ, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104482
   Leykin D, 2018, INT J DISAST RISK RE, V31, P393, DOI 10.1016/j.ijdrr.2018.04.021
   Li DX, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104028
   Li JJ, 2020, ENERG BUILDINGS, V224, DOI 10.1016/j.enbuild.2020.110259
   Li LY, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101776
   Li Y, 2021, SOC SCI MED, V285, DOI 10.1016/j.socscimed.2021.114222
   Lin Y, 2022, LANDSCAPE URBAN PLAN, V227, DOI 10.1016/j.landurbplan.2022.104539
   Liu S, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127294
   Liu YX, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104314
   Liu Z, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126785
   Liu Z, 2019, LANDSCAPE URBAN PLAN, V187, P81, DOI 10.1016/j.landurbplan.2019.03.012
   Lohr Virginia I., 2004, Journal of Arboriculture, V30, P28
   Marchi V, 2022, CITIES, V126, DOI 10.1016/j.cities.2022.103707
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   Mauss I, 2009, COGNITION EMOTION, V23, P209, DOI 10.1080/02699930802204677
   Meenar MR, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103353
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mehrnoush Vahid, 2023, AJOG Glob Rep, V3, P100185, DOI 10.1016/j.xagr.2023.100185
   Millar GC, 2021, COMPUT ENVIRON URBAN, V85, DOI 10.1016/j.compenvurbsys.2020.101554
   Mishra SV, 2020, HABITAT INT, V103, DOI 10.1016/j.habitatint.2020.102230
   Mouratidis K, 2022, SCI TOTAL ENVIRON, V811, DOI 10.1016/j.scitotenv.2021.152332
   Mouratidis K, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105772
   Mouratidis K, 2022, CITIES, V121, DOI 10.1016/j.cities.2021.103491
   Mouratidis K, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103229
   Neppalli VK, 2017, INT J DISAST RISK RE, V21, P213, DOI 10.1016/j.ijdrr.2016.12.011
   Niedenthal PM, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0197651
   Noszczyk T, 2022, LAND USE POLICY, V113, DOI 10.1016/j.landusepol.2021.105925
   Okazaki A, 2022, TRENDS GENET, V38, P1013, DOI 10.1016/j.tig.2022.04.009
   Pan WJ, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105744
   Agustí DPI, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104000
   Agustí DPI, 2019, APPL GEOGR, V112, DOI 10.1016/j.apgeog.2019.102084
   Plunz RA, 2019, LANDSCAPE URBAN PLAN, V189, P235, DOI 10.1016/j.landurbplan.2019.04.024
   Qiao ML, 2023, CITIES, V138, DOI 10.1016/j.cities.2023.104360
   Qorib M, 2023, EXPERT SYST APPL, V212, DOI 10.1016/j.eswa.2022.118715
   Ren JC, 2023, J MATER SCI TECHNOL, V138, P70, DOI 10.1016/j.jmst.2022.07.059
   Rubin GJ, 2020, BMJ-BRIT MED J, V368, DOI 10.1136/bmj.m313
   Russell JA, 2003, PSYCHOL REV, V110, P145, DOI 10.1037/0033-295X.110.1.145
   Sajjad M, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102850
   Shah AM, 2021, INT J MED INFORM, V149, DOI 10.1016/j.ijmedinf.2021.104434
   Shakil MH, 2020, SCI TOTAL ENVIRON, V745, DOI 10.1016/j.scitotenv.2020.141022
   Shi K, 2003, CHINESE SCI BULL, V48, P1297, DOI 10.1007/BF03184166
   Spieske A, 2022, J PURCH SUPPLY MANAG, V28, DOI 10.1016/j.pursup.2022.100748
   Neves CET, 2021, J TRANSP GEOGR, V93, DOI 10.1016/j.jtrangeo.2021.103064
   Turon A, 2023, PUBLIC HEALTH, V215, P83, DOI 10.1016/j.puhe.2022.12.003
   Ugolini F, 2021, LAND USE POLICY, V105, DOI 10.1016/j.landusepol.2021.105437
   United Nations Office for Disaster Risk Reduction (UNISDR), 2009, TERM DIS RISK RED
   Venter ZS, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104175
   Wang B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102884
   Wang JZ, 2020, J MED INTERNET RES, V22, DOI 10.2196/22152
   Wang L, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104048
   Wang RY, 2022, APPL GEOGR, V148, DOI 10.1016/j.apgeog.2022.102803
   Wang Y, 2020, COMPUT HUM BEHAV, V104, DOI 10.1016/j.chb.2019.106183
   Wang ZY, 2018, INT J GEOGR INF SCI, V32, P49, DOI 10.1080/13658816.2017.1367003
   White M, 2010, J ENVIRON PSYCHOL, V30, P482, DOI 10.1016/j.jenvp.2010.04.004
   Wood L, 2017, HEALTH PLACE, V48, P63, DOI 10.1016/j.healthplace.2017.09.002
   Wu XY, 2023, LANDSCAPE URBAN PLAN, V233, DOI 10.1016/j.landurbplan.2023.104690
   Xiang LY, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108273
   Xiao J, 2022, HEALTH PLACE, V77, DOI 10.1016/j.healthplace.2022.102889
   Xiao WY, 2022, TRANSPORT RES D-TR E, V110, DOI 10.1016/j.trd.2022.103428
   Xie LL, 2022, COMPUT HUM BEHAV, V134, DOI 10.1016/j.chb.2022.107294
   Yang LY, 2022, CITIES, V130, DOI 10.1016/j.cities.2022.103977
   Yang YX, 2022, INT J DISAST RISK RE, V70, DOI 10.1016/j.ijdrr.2021.102762
   Yao ZR, 2021, CITIES, V116, DOI 10.1016/j.cities.2021.103273
   Yin J, 2020, ENVIRON INT, V136, DOI 10.1016/j.envint.2019.105427
   Yip TL, 2021, BUILD ENVIRON, V188, DOI 10.1016/j.buildenv.2020.107471
   Zha WB, 2023, TRANSPORT RES A-POL, V172, DOI 10.1016/j.tra.2023.103669
   Zhang H, 2011, LANDSCAPE URBAN PLAN, V101, P11, DOI 10.1016/j.landurbplan.2010.12.010
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zheng SQ, 2019, NAT HUM BEHAV, V3, P237, DOI 10.1038/s41562-018-0521-2
   Zhou M, 2022, TRANSPORT RES D-TR E, V107, DOI 10.1016/j.trd.2022.103291
   Zhu JR, 2022, HABITAT INT, V127, DOI 10.1016/j.habitatint.2022.102627
   Zhu JY, 2021, URBAN FOR URBAN GREE, V58, DOI 10.1016/j.ufug.2020.126913
   Zhu X, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127133
   Zou L, 2018, ANN AM ASSOC GEOGR, V108, P1422, DOI 10.1080/24694452.2017.1421897
NR 117
TC 10
Z9 10
U1 27
U2 67
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD OCT
PY 2023
VL 141
AR 104510
DI 10.1016/j.cities.2023.104510
EA AUG 2023
PG 14
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA FT7R1
UT WOS:001148178200001
DA 2025-04-22
ER

PT J
AU Liu, LN
   Lei, YL
   Fath, BD
   Hubacek, K
   Yao, HJ
   Liu, W
AF Liu, Lingna
   Lei, Yalin
   Fath, Brian D.
   Hubacek, Klaus
   Yao, Huajun
   Liu, Wei
TI The spatio-temporal dynamics of urban resilience in China?s capital
   cities
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Urban resilience; Convergence model; Spatial correlation; Provincial
   capital cities
ID COMMUNITY RESILIENCE; ADAPTATION; REGIONS; SYSTEM
AB Urban resilience refers to the resilience of a city after external shocks and its ability to prevent, respond and recover from extreme disasters. In 2015, the United Nations Sustainable Development Goals (UN-SDGs) made urban resilience one of the global sustainable development goals. Additional information regarding urban resilience can have a positive effect on the transformation toward a more sustainable city. For China, the development and research of urban resilience is still in its infancy, and there is insufficient experience in implementing key tasks and project management. This research studies 30 of China's provincial capital cities, constructs an evaluation framework and system for urban resilience, measures the resilience of Chinese capital cities from 1998 to 2017, and explores their temporal and spatial evolution based on econometric models. The results show that (1) the gap in the level of resilience between provincial capital cities have been increasing over time; (2) the gap in the level of provincial capital cities in Northeast, Southwest, Northwest and Yangtze River Delta regions in China show significant "convergence"; and (3) cities located in economically developed areas such as the Beijing-Tianjin-Hebei region, the Yangtze River Delta and the Pearl River Delta, namely, Beijing, Shanghai, Hangzhou and Guangzhou, exhibit higher resilience levels. In contrast, Lanzhou and Yinchuan in the northwest and Harbin and Changchun in the northeast show lower levels of resilience. Finally, relevant policy recommendations are proposed at the national, regional and city levels.
C1 [Liu, Lingna] Beijing Univ Chem Technol, Coll Humanities & Law, Beijing 100029, Peoples R China.
   [Liu, Lingna; Lei, Yalin] Beijing Univ Chem Technol, Inst Carbon neutral Chinese Ind, Beijing 100029, Peoples R China.
   [Lei, Yalin] Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China.
   [Fath, Brian D.] Towson Univ, Dept Biol Sci, Towson, MD 21252 USA.
   [Fath, Brian D.] Adv Syst Anal Program, Int Inst Appl Syst Anal, Laxenburg, Austria.
   [Hubacek, Klaus] Univ Groningen, Fac Sci & Engn, Groningen, Netherlands.
   [Yao, Huajun] China Univ Geosci Beijing, Sch Econ & Management, Beijing 100083, Peoples R China.
   [Liu, Wei] Int Inst Appl Syst Anal, Equ & Justice Grp, Laxenburg, Austria.
   [Liu, Lingna] Risk & Resilience Program, Int Inst Appl Syst Anal, Laxenburg, Austria.
   [Lei, Yalin] China Univ Geosci, Rm206,4 Bldg, Beijing 100083, Peoples R China.
C3 Beijing University of Chemical Technology; Beijing University of
   Chemical Technology; Beijing University of Chemical Technology;
   University System of Maryland; Towson University; International
   Institute for Applied Systems Analysis (IIASA); University of Groningen;
   China University of Geosciences; International Institute for Applied
   Systems Analysis (IIASA); International Institute for Applied Systems
   Analysis (IIASA); China University of Geosciences
RP Lei, YL (corresponding author), China Univ Geosci, Rm206,4 Bldg, Beijing 100083, Peoples R China.
EM leiyalin@cugb.edu.cn
RI LIU, LINGNA/IUO-0244-2023; Hubacek, Klaus/GVS-6444-2022
OI Fath, Brian D./0000-0001-9440-6842; Hubacek, Klaus/0000-0003-2561-6090
FU China Post- doctoral Science Foundation; National Major Science and
   Technology Projects of China; National Natural Science Foundation of
   China;  [2021M692999];  [2016ZX05016005-003];  [72203210]
FX Acknowledgements The authors are grateful for financial support from
   China Post- doctoral Science Foundation under Grant No. 2021M692999,
   National Major Science and Technology Projects of China under Grant No.
   2016ZX05016005-003 and National Natural Science Foundation of China
   under Grant No.72203210.
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], 2006, Fuel for Life: Household Energy and Health
   Burby R.J, 2011, AUST J EMERG MANAG, V16
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   Chen D.Y., 2019, URBAN RESILIENCE EVA
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   DFID, 1999, Sustainable Livelihoods Guidance Sheets, Section 2.1
   Feng Z.H, 2005, MODERN FINANCE EC J, V25, P54
   Guo X., 2016, Shanghai Urban Plan. Rev, V1, P41
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   Ji X.R, 2018, RES PLANNING DESIGN
   Kourtit K, 2022, J URBAN MANAG, V11, P226, DOI 10.1016/j.jum.2022.04.004
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li CX, 2020, ENVIRON DEV SUSTAIN, V22, P2941, DOI 10.1007/s10668-019-00328-1
   Li CX, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7547-4
   Liu Z, 2021, JSSR
   Liu ZZ, 2022, PHYSICA A, V586, DOI 10.1016/j.physa.2021.126465
   Martin R, 2007, J ECON GEOGR, V7, P573, DOI 10.1093/jeg/lbm019
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   MCEER, 2005, WHIT PAP SDR GRAND C
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mieler M.W., 2012, RESILIENT COMMUNITIE
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Nie C.J., 2012, ADV GEOGRAPHICAL SCI, V113, P03
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pickett STA, 2014, BUILD RES INF, V42, P143, DOI 10.1080/09613218.2014.850600
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Pu B, 2016, MEASUREMENT TIME SPA
   Pu B., 2016, Current Urban Studies, P36, DOI DOI 10.4236/cus.2016.41004
   [仇保兴 Qiu Baoxing], 2018, [城市发展研究, Urban Studies], V25, P1
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Schuetze T, 2011, WATER SCI TECHNOL, V64, P722, DOI 10.2166/wst.2011.688
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sun HH, 2021, SCI TOTAL ENVIRON, V765, DOI 10.1016/j.scitotenv.2020.144567
   The Rockefeller Foundation, 2014, CIT RES FRAM
   Un-Habitat, 2012, URB RES PROGR UN HAB
   Van Winkle Z, 2021, SOC SCI RES, V96, DOI 10.1016/j.ssresearch.2021.102541
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2012, RESILIENCE PRACTICE, V3, P35
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wei B, 2020, Macroeconomic Management, V12, P77
   Wu H.T., 2016, SHANGHAI URBAN PLANN, V1, P19
   Xu B, 2018, MEASUREMENT URBAN RE
   Yang DW, 2018, RESOUR CONSERV RECY, V134, P196, DOI 10.1016/j.resconrec.2018.03.016
   Zhang, 2015, STAT DECISION, V22, P65
   Zhang L., 2014, FORUM STAT INFORM, V1, P87
   Zhao D, 2019, CITIES DISASTER REDU, V2, P29
   Zheng SL, 2019, TECHNOL FORECAST SOC, V139, P99, DOI 10.1016/j.techfore.2018.07.038
NR 54
TC 38
Z9 38
U1 28
U2 171
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 DEC 15
PY 2022
VL 379
AR 134400
DI 10.1016/j.jclepro.2022.134400
EA OCT 2022
PN 1
PG 14
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA 5X6EA
UT WOS:000878690600001
OA Green Published
DA 2025-04-22
ER

PT J
AU Goodness, J
   Andersson, E
   Anderson, PML
   Elmqvist, T
AF Goodness, Julie
   Andersson, Erik
   Anderson, Pippin M. L.
   Elmqvist, Thomas
TI Exploring the links between functional traits and cultural ecosystem
   services to enhance urban ecosystem management
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Social-ecological systems; Biodiversity; Functional traits; Functional
   effect traits; Ecosystem services; Cultural ecosystem services; Urban;
   Cities; Human perception; Resilience; Ecosystem management
ID BIOTIC HOMOGENIZATION; COMMUNITY-LEVEL; PLANT TRAITS; LANDSCAPE;
   DIVERSITY; BIODIVERSITY; FRAMEWORK; VALUES; VEGETATION; RESPONSES
AB Functional traits have been proposed as a more mechanistic way than species data alone to connect biodiversity to ecosystem processes and function in ecological research. Recently, this framework has also been broadened to include connections of traits to ecosystem services. While many links between traits and ecosystem processes/functions are easily and logically extended to regulating, supporting, and provisioning services, connections to cultural services have not yet been dealt with in depth. We argue that addressing this gap may involve a renegotiation of what have traditionally been considered traits, and a targeted effort to include and expand upon efforts to address traits-cultural ecosystem services links in traits research. Traits may also offer a better way to explore the recognition and appreciation of biodiversity. Drawing upon examples from outside the explicit traits literature, we present a number of potential connections between functional traits and cultural ecosystem services for attention in future research. Finally, we explore considerations and implications of employing a traits approach in urban areas, and examine how connections between traits and ecosystem services could be developed as indicators in a research and management context to generate a robust and resilient supply of ecosystem services. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Goodness, Julie; Andersson, Erik; Elmqvist, Thomas] Stockholm Univ, Stockholm Resilience Ctr, Kraftriket 2B, SE-10691 Stockholm, Sweden.
   [Anderson, Pippin M. L.] Univ Cape Town, Dept Environm & Geog Sci, Private Bag X3, ZA-7701 Cape Town, South Africa.
C3 Stockholm University; University of Cape Town
RP Goodness, J (corresponding author), Stockholm Univ, Stockholm Resilience Ctr, Kraftriket 2B, SE-10691 Stockholm, Sweden.
EM julie.goodness@su.se; erik.andersson@su.se; pippin.anderson@uct.ac.za;
   thomas.elmqvist@su.se
RI Andersson, Erik/AAE-9771-2019; Elmqvist, Thomas/AAY-6344-2021
OI Andersson, Erik/0000-0003-2716-5502; Anderson,
   Pippin/0000-0003-3716-1206; Elmqvist, Thomas/0000-0002-4617-6197
FU Mistra
FX This research was supported by Mistra through a core grant to the
   Stockholm Resilience Centre at Stockholm University. Comments from two
   anonymous reviewers helped to improve the manuscript.
CR [Anonymous], 2013, Urbanization, biodiversity and ecosystem services: challenges and opportunities
   [Anonymous], BIODIVERSITY ECOSYST
   [Anonymous], 2013, IEEE POW EN SOC GEN
   [Anonymous], PLANT FUNCTIONAL TYP
   [Anonymous], 2008, STATE WORLDS CITIES
   [Anonymous], 2003, Ecosystems and Human Well-Being: A Framework for Assessment
   [Anonymous], 1993, Biophilia Hypothesis
   Appleton J., 1975, EXPERIENCE LANDSCAPE, DOI DOI 10.2307/633509
   Belair C., 2010, SECRETARIAT CONVENTI, V52
   Chan KMA, 2012, BIOSCIENCE, V62, P744, DOI 10.1525/bio.2012.62.8.7
   Chen B, 2009, LANDSCAPE URBAN PLAN, V93, P76, DOI 10.1016/j.landurbplan.2009.06.001
   Cornelissen JHC, 2003, AUST J BOT, V51, P335, DOI 10.1071/BT02124
   de Bello F, 2010, BIODIVERS CONSERV, V19, P2873, DOI 10.1007/s10531-010-9850-9
   de Chazal J, 2008, GLOBAL ENVIRON CHANG, V18, P508, DOI 10.1016/j.gloenvcha.2008.04.005
   Díaz S, 2001, TRENDS ECOL EVOL, V16, P646, DOI 10.1016/S0169-5347(01)02283-2
   Diaz S., 2007, Terrestrial ecosystems in a changing world, P81, DOI [10.1007/978-3-540-32730-1_7, DOI 10.1007/978-3-540-32730-1_7]
   Farina A, 2000, BIOSCIENCE, V50, P313, DOI 10.1641/0006-3568(2000)050[0313:TCLAAM]2.3.CO;2
   Flynn DFB, 2009, ECOL LETT, V12, P22, DOI 10.1111/j.1461-0248.2008.01255.x
   Fowler Peter., 2003, CULTURAL LANDSCAPES, P16
   GADGIL M, 1991, EVOL TREND PLANT, V5, P3
   Hakim Luchman, 2009, Journal of Ecology and Environment, V32, P1
   Hedblom M, 2014, URBAN FOR URBAN GREE, V13, P469, DOI 10.1016/j.ufug.2014.04.002
   Hope D, 2003, P NATL ACAD SCI USA, V100, P8788, DOI 10.1073/pnas.1537557100
   Ichikawa K, 2006, LANDSCAPE URBAN PLAN, V78, P398, DOI 10.1016/j.landurbplan.2005.12.001
   Ignatieva M, 2012, APPLIED URBAN ECOLOGY : A GLOBAL FRAMEWORK, P139
   Kaplan R., 1995, EXPERIENCE NATURE PS
   Kendal D, 2012, LANDSCAPE URBAN PLAN, V105, P34, DOI 10.1016/j.landurbplan.2011.11.023
   Klain SC, 2012, ECOL ECON, V82, P104, DOI 10.1016/j.ecolecon.2012.07.008
   Kobori H, 2003, AMBIO, V32, P307, DOI 10.1639/0044-7447(2003)032[0307:PCAFST]2.0.CO;2
   Lavorel S, 1997, TRENDS ECOL EVOL, V12, P474, DOI 10.1016/S0169-5347(97)01219-6
   Lavorel S, 2002, FUNCT ECOL, V16, P545, DOI 10.1046/j.1365-2435.2002.00664.x
   Lavorel S, 2011, J ECOL, V99, P135, DOI 10.1111/j.1365-2745.2010.01753.x
   Lavorel S, 2001, NEW PHYTOL, V149, P360, DOI 10.1046/j.1469-8137.2001.00048.x
   Lohr VI, 2006, ENVIRON BEHAV, V38, P667, DOI 10.1177/0013916506287355
   Loreau M, 2001, SCIENCE, V294, P804, DOI 10.1126/science.1064088
   Malhotra K.C., 2001, CULTURAL ECOLOGICAL
   Martin CA, 2004, LANDSCAPE URBAN PLAN, V69, P355, DOI 10.1016/j.landurbplan.2003.10.034
   McDonnell MJ, 2013, URBAN ECOSYST, V16, P397, DOI 10.1007/s11252-013-0315-2
   McKinney ML, 2006, BIOL CONSERV, V127, P247, DOI 10.1016/j.biocon.2005.09.005
   McKinney ML, 1999, TRENDS ECOL EVOL, V14, P450, DOI 10.1016/S0169-5347(99)01679-1
   Muller N., 2013, Urbanization, biodiversity and ecosystem services: Challenges and opportunities, Eds, P123, DOI [10.1007/978-94-007-7088-1_10, DOI 10.1007/978-94-007-7088-1_10]
   Nagendra H, 2010, URBAN FOR URBAN GREE, V9, P129, DOI 10.1016/j.ufug.2009.12.005
   Naidoo R, 2008, P NATL ACAD SCI USA, V105, P9495, DOI 10.1073/pnas.0707823105
   Orians G.H., 1992, The adapted mind: evolutionary psychology and the generation of culture, P555
   Orians G.H., 1986, LANDSCAPE MEANING VA, P3
   Orians G.H., 1980, EVOLUTION HUMAN SOCI, P49
   Pataki DE, 2013, ECOSPHERE, V4, DOI 10.1890/ES13-00017.1
   Plieninger T, 2013, LAND USE POLICY, V33, P118, DOI 10.1016/j.landusepol.2012.12.013
   Raymond CM, 2009, ECOL ECON, V68, P1301, DOI 10.1016/j.ecolecon.2008.12.006
   Sauer C., 1965, LAND LIFE, P315
   Sherrouse BC, 2011, APPL GEOGR, V31, P748, DOI 10.1016/j.apgeog.2010.08.002
   SOMMER R, 1995, ENVIRON BEHAV, V27, P540, DOI 10.1177/0013916595274005
   Suding KN, 2008, GLOBAL CHANGE BIOL, V14, P1125, DOI 10.1111/j.1365-2486.2008.01557.x
   Summit J, 1999, ENVIRON BEHAV, V31, P550, DOI 10.1177/00139169921972236
   Takeuchi K., 2012, Satoyama: The traditional rural landscape of Japan
   TEEB, 2010, The Economics of Ecosystem Services and Biodiversity: Ecological and Economic Foundations
   TEEB - The Economics of Ecosystems and Biodiversity, 2016, TEEB EC EC BIOD
   ULRICH RS, 1986, LANDSCAPE URBAN PLAN, V13, P29, DOI 10.1016/0169-2046(86)90005-8
   Williams Kathryn, 2002, Journal of Arboriculture, V28, P161
   Williams NSG, 2009, J ECOL, V97, P4, DOI 10.1111/j.1365-2745.2008.01460.x
   Wilson E.O., 1984, Biophilia. Cambridge, DOI DOI 10.4159/9780674045231
NR 61
TC 71
Z9 79
U1 8
U2 178
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 NOV
PY 2016
VL 70
SI SI
BP 597
EP 605
DI 10.1016/j.ecolind.2016.02.031
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 ED3YU
UT WOS:000388785200054
DA 2025-04-22
ER

PT J
AU Mngumi, LE
AF Mngumi, Lazaro Eliyah
TI Ecosystem services potential for climate change resilience in peri-urban
   areas in Sub-Saharan Africa
SO LANDSCAPE AND ECOLOGICAL ENGINEERING
LA English
DT Review
DE Climate change; Urban landscape; Sustainable development; Policy;
   Planning and management
ID DAR-ES-SALAAM; LAND-USE; CHANGE ADAPTATION; SOUTH-AFRICA; SETTLEMENTS;
   ENVIRONMENTS; MANAGEMENT; FORESTS; CITIES; AGRICULTURE
AB Ecosystem services provide considerable development opportunities, including incorporating land use planning and enhancing climate change resilience in peri-urban communities. However, the application of this concept in planning and enhancing climate change resilience is negligible in Sub-Saharan Africa (SSA). This article reviews state-of-the-art research on the potential contribution of peri-urban ecosystem services to climate change resilience in SSA and identifies research gaps for further work. This study was conducted through systematic review of articles from the Web of Science. The literature shows limited knowledge on peri-urban ecosystem services research globally and SSA in particular. The gaps in this knowledge stem from inadequate conceptualization and lack of understanding about how such knowledge can be translated into policy, planning and management and, hence, realizing development goals. In nutshell, the potential for climate change resilience of well-managed peri-urban ecosystem services includes reducing the physical exposure of peri-urban areas to floods and droughts and minimizing climate change risks through increased socio-economic resilience to hazard impacts and provision of the carbon sequestration function. However, specific peri-urban studies describing ecosystem service types and how they can be synchronized into mainstream urban planning and climate change resilience strategies are lacking in most SSA urban regions/landscapes. Therefore, case studies need to be conducted to contextualize and downscale the concept in peri-urban areas and to determine how the concept can be synchronized into broad urban planning and strategies for enhancing resilience to climate change in vulnerable urban and peri-urban communities.
C1 [Mngumi, Lazaro Eliyah] Ardhi Univ, IHSS, POB 35176, Dar Es Salaam, Tanzania.
   [Mngumi, Lazaro Eliyah] Swedish Univ Agr Sci SLU, Fac Nat Resources & Agr Sci, POB 7012, S-75007 Uppsala, Sweden.
C3 Swedish University of Agricultural Sciences
RP Mngumi, LE (corresponding author), Ardhi Univ, IHSS, POB 35176, Dar Es Salaam, Tanzania.; Mngumi, LE (corresponding author), Swedish Univ Agr Sci SLU, Fac Nat Resources & Agr Sci, POB 7012, S-75007 Uppsala, Sweden.
EM lazaromngumi@gmail.com
OI Mngumi, Lazaro/0000-0001-8668-4738
FU Swedish University of Agricultural Sciences; Swedish International
   Development Cooperation Agency (SIDA)
FX Open access funding provided by Swedish University of Agricultural
   Sciences. This article was written as part of the urban governance
   project under the partnership between the Institute of Human
   Settlementents Studies (IHSS) of Ardhi University, Tanzania and the
   Faculty of Natural Resources and Agricultural Sciences of Swedish
   University of Agricultural Sciences in Sweden. I also gratefully
   appreciate the financial support of the Swedish International
   Development Cooperation Agency (SIDA). I thank a team of my supervisors,
   Matthew Cashmore, Antoienette Warnbard, Makarius Victor Mdemu and Zeinab
   Eildeen for their comments, suggestions and support at the time I was
   developing concepts for my project and writing of this article.
CR Abramovitz Janet., 2002, Adapting to Climate Change
   Agrawal M, 2003, ENVIRON POLLUT, V126, P323, DOI 10.1016/S0269-7491(03)00245-8
   Allen A., 1999, ENV PROBLEMS OPPORTU
   Allen Andriana., 2006, Governance of Water and Sanitation Services for the Peri-Urban Poor: A Framework for Understanding and Action in Metropolitan Regions
   Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   [Anonymous], STAT AFR CIT 2010
   [Anonymous], 2009, EC ECOSYSTEMBIODIV, DOI DOI 10.4324/9781849775489
   [Anonymous], 2005, Protective values of mangrove and coral ecosystems: A review of methods and evidence
   [Anonymous], 2014, ANN REP UN EC COMM A
   [Anonymous], 2014, CLIM CHANG 2019 IMP
   [Anonymous], 2012, MULT GREEN INFR
   [Anonymous], 2011, INT START SECR
   [Anonymous], 2005, EC HUM WELL BEING BI
   Balvanera P, 2005, ECOL APPL, V15, P360, DOI 10.1890/03-5192
   Barbier EB, 2006, FRONT ECOL ENVIRON, V4, P124, DOI 10.1890/1540-9295(2006)004[0124:NBTNDR]2.0.CO;2
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Bateman IJ, 2013, SCIENCE, V341, P45, DOI 10.1126/science.1234379
   Berghofer Augustin., 2011, The Economics of Ecosystems and Biodiversity
   Birch EL, 2016, J AM PLANN ASSOC, V82, P398, DOI 10.1080/01944363.2016.1216326
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Brauman KA, 2007, ANNU REV ENV RESOUR, V32, P67, DOI 10.1146/annurev.energy.32.031306.102758
   Brook R., 2000, PERI URBAN INTERFACE
   Brook RM, 2001, PERIURBAN INTERFACE
   Campbell A., 2008, The Linkages Between Biodiversity and Climate Change Mitigation
   Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106
   Cash DW, 2006, ECOL SOC, V11
   Cavan G, 2014, ECOL INDIC, V42, P43, DOI 10.1016/j.ecolind.2014.01.025
   Chong J, 2014, INT ENVIRON AGREEM-P, V14, P391, DOI 10.1007/s10784-014-9242-9
   Christensen NL, 1996, ECOL APPL, V6, P665, DOI 10.2307/2269460
   Cilliers S, 2013, URBAN ECOSYST, V16, P681, DOI 10.1007/s11252-012-0254-3
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Costanza R, 2012, ECOSYST SERV, V1, P16, DOI 10.1016/j.ecoser.2012.06.002
   Dahiya B, 2003, CITIES, V20, P341, DOI 10.1016/S0264-2751(03)00051-9
   Daily GC, 2009, FRONT ECOL ENVIRON, V7, P21, DOI 10.1890/080025
   Das S, 2009, P NATL ACAD SCI USA, V106, P7357, DOI 10.1073/pnas.0810440106
   Dawson N, 2015, ECOL ECON, V117, P62, DOI 10.1016/j.ecolecon.2015.06.018
   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 Sherbinin A, 2007, ENVIRON URBAN, V19, P39, DOI 10.1177/0956247807076725
   Dodman D, 2009, ENVIRON URBAN, V21, P185, DOI 10.1177/0956247809103016
   Douglas I., 2006, PERI URBAN INTERFACE, P18
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Dupont V, 2004, URBAN DEV POPULATION
   Egoh B, 2008, AGR ECOSYST ENVIRON, V127, P135, DOI 10.1016/j.agee.2008.03.013
   Egoh BN, 2012, ECOSYST SERV, V2, P71, DOI 10.1016/j.ecoser.2012.09.004
   Elmqvist T, 2011, INTRO ECOSYSTEM SERV
   Enfors EI, 2008, GLOBAL ENVIRON CHANG, V18, P607, DOI 10.1016/j.gloenvcha.2008.07.006
   Escobedo FJ, 2011, ENVIRON POLLUT, V159, P2078, DOI 10.1016/j.envpol.2011.01.010
   Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014
   Forsyth A, 2012, J PLAN LIT, V27, P270, DOI 10.1177/0885412212448101
   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
   Gosnell H, 2011, LAND USE POLICY, V28, P185, DOI 10.1016/j.landusepol.2010.05.012
   Güneralp B, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa94fe
   Habitat U, 2011, GLOB REP HUM SETTL 2
   Hepworth N., 2008, Climate change in Uganda: Understanding the implications and appraising the response
   Hernández-Morcillo M, 2013, ECOL INDIC, V29, P434, DOI 10.1016/j.ecolind.2013.01.013
   Hoornweg D, 2011, URB DEV SER, P1, DOI 10.1596/978-0-8213-8493-0
   Hubacek K, 2013, LANDSCAPE URBAN PLAN, V109, P1, DOI 10.1016/j.landurbplan.2012.10.010
   Innes JL, 2006, INT FOREST REV, V8, P406, DOI 10.1505/ifor.8.4.406
   Jim CY, 2009, CITIES, V26, P187, DOI 10.1016/j.cities.2009.03.003
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Kalaba F, 2013, POPUL ENVIRON, V35, P159, DOI 10.1007/s11111-013-0189-5
   Kestemont B, 2011, ECOL INDIC, V11, P848, DOI 10.1016/j.ecolind.2010.11.001
   Kiunsi R, 2013, ENVIRON URBAN, V25, P321, DOI 10.1177/0956247813489617
   Knowd I, 2006, CHANGING CITY STRUCT, P23
   Kombe WJ, 2005, HABITAT INT, V29, P113, DOI 10.1016/S0197-3975(03)00076-6
   Kondo Hisayoshi, 2002, Prehosp Disaster Med, V17, P126
   Kremer P, 2015, ECOSYST SERV, V12, P149, DOI 10.1016/j.ecoser.2015.01.008
   [Kumar P. The Economics of Ecosystems and Biodiversity (TEEB) The Economics of Ecosystems and Biodiversity (TEEB)], 2010, The Economics of Ecosystems and Biodiversity: Ecological and Economic Foundations
   laquinta D.L., 2000, 10 WORLD C INT RURAL
   Laros M., 2014, The state of African cities 2014: re-imagining sustainable urban transitions
   Le Maitre DC, 2007, S AFR J SCI, V103, P367
   Lovell ST, 2009, FRONT ECOL ENVIRON, V7, P212, DOI 10.1890/070178
   Lowe A., 2009, ASK CLIMATE QUESTION
   Luederitz C, 2015, ECOSYST SERV, V14, P98, DOI 10.1016/j.ecoser.2015.05.001
   Lupala J. M., 2014, J GEOGRAPHY GEOLOGY, V6, P231, DOI [10.5539/jgg.v6n4p231, DOI 10.5539/JGG.V6N4P231]
   Lwasa S, 2010, CURR OPIN ENV SUST, V2, P166, DOI 10.1016/j.cosust.2010.06.009
   M A (Assessment Millennium Ecosystem), 2005, ECOSYSTEMS HUMAN WEL, P5
   Maconachie R., 2016, URBAN GROWTH LAND DE
   Marshall F., 2009, EDGE SUSTAINABILITY
   Massel SR, 1999, FLUID DYN RES, V24, P219, DOI 10.1016/S0169-5983(98)00024-0
   Masuda JR, 2008, J RURAL STUD, V24, P112, DOI 10.1016/j.jrurstud.2007.08.003
   MATERO J, 2003, METSATIETEEN AIKAKAU, V3, P355
   Mazda Y., 1997, Mangroves Salt Marshes, V1, P193, DOI [DOI 10.1023/A:1009949411068, 10.1023/A:1009949411068]
   Mbiba B., 2002, Progress in Development Studies, V2, P113, DOI 10.1191/1464993402ps032ra
   Mcfarland P, 2015, INT PLAN STUD, V20, P161, DOI 10.1080/13563475.2014.965250
   McGranahan G., 2005, MILLENNIUM ECOSYSTEM, V1, P795
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   McPhearson T, 2016, NATURE, V538, P165, DOI 10.1038/538165a
   Müller F, 2012, ECOSYST SERV, V1, P26, DOI 10.1016/j.ecoser.2012.06.001
   Munang R, 2010, PROCEDIA ENVIRON SCI, V1, P206, DOI 10.1016/j.proenv.2010.09.014
   Munroe R, 2012, ENVIRON EVID, V1, DOI 10.1186/2047-2382-1-13
   Mustelin J, 2010, POPUL ENVIRON, V31, P371, DOI 10.1007/s11111-010-0107-z
   Myers J. P., 1997, Natures Services: Societal Dependence on Natural Ecosystems
   Narain V, 2007, ENVIRON URBAN, V19, P261, DOI 10.1177/0956247807076905
   Narain V, 2009, ENVIRON URBAN, V21, P501, DOI 10.1177/0956247809339660
   Nchito WS, 2007, ENVIRON URBAN, V19, P539, DOI 10.1177/0956247807082835
   Niemelä J, 2010, BIODIVERS CONSERV, V19, P3225, DOI 10.1007/s10531-010-9888-8
   Olujimi J., 2007, The Social Sciences, V2, P60
   Overbeek G, 2009, J ENVIRON POL PLAN, V11, P61, DOI 10.1080/15239080902775058
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Radford KG, 2013, LANDSCAPE URBAN PLAN, V109, P117, DOI 10.1016/j.landurbplan.2012.10.007
   Rakodi C., 2002, Urban Livelihoods: A people-centered approach to reducing poverty
   Reed MS, 2015, J ENVIRON MANAGE, V151, P472, DOI 10.1016/j.jenvman.2014.11.010
   Ricci L., 2012, J. Sustain. Dev., V7, P39
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Romeu-Dalmau C, 2018, BIOMASS BIOENERG, V114, P30, DOI 10.1016/j.biombioe.2016.05.011
   Roy M, 2018, LANDSCAPE URBAN PLAN, V180, P282, DOI 10.1016/j.landurbplan.2017.11.011
   Salem M., 2015, SUSTAIN DEV, V168, P1109, DOI DOI 10.2495/SD150101
   Samper C, 2005, MILLENNIUM ECOSYSTEM, pix
   Sander H, 2010, ECOL ECON, V69, P1646, DOI 10.1016/j.ecolecon.2010.03.011
   Simon D, 2004, ENVIRON URBAN, V16, P235, DOI 10.1177/095624780401600214
   Simon D, 2008, ANNU REV ENV RESOUR, V33, P167, DOI 10.1146/annurev.environ.33.021407.093240
   Soderman Tarja, 2012, Journal of Environmental Assessment Policy and Management, V14, P1250008, DOI 10.1142/S1464333212500081
   Sudmeier-Rieux K, 2007, DISASTER RISK LIVELI
   Takasaki Y, 2004, ENVIRON DEV ECON, V9, P203, DOI 10.1017/S1355770X03001232
   Thorn J, 2015, GLOBAL ENVIRON CHANG, V31, P121, DOI 10.1016/j.gloenvcha.2014.12.009
   Thuo ADM, 2013, INT J SCI RES PUBLIC, P3
   Tobias S, 2013, INTEGR ENVIRON ASSES, V9, P243, DOI 10.1002/ieam.1392
   Toteng E, 2005, BOTSWANA NOTES RECOR, V37, P108
   Ugle P., 2010, Carbon Sequestration Potential of Urban Trees.
   United Republic of Tanzania (URT), 2007, National adaptation programme of action
   Vejre H, 2007, MULTIFUNCTIONAL AGR
   Wandl A, 2017, PLAN PRACT RES, V32, P1, DOI 10.1080/02697459.2017.1264191
   Willemen L, 2008, LANDSCAPE URBAN PLAN, V88, P34, DOI 10.1016/j.landurbplan.2008.08.004
   Yuen B., 2010, Climate Change and Sustainable Urban Development in Africa and Asia
   Zasada I, 2011, LAND USE POLICY, V28, P639, DOI 10.1016/j.landusepol.2011.01.008
NR 129
TC 21
Z9 22
U1 5
U2 70
PU SPRINGER JAPAN KK
PI TOKYO
PA SHIROYAMA TRUST TOWER 5F, 4-3-1 TORANOMON, MINATO-KU, TOKYO, 105-6005,
   JAPAN
SN 1860-1871
EI 1860-188X
J9 LANDSC ECOL ENG
JI Landsc. Ecol. Eng.
PD APR
PY 2020
VL 16
IS 2
BP 187
EP 198
DI 10.1007/s11355-020-00411-0
EA FEB 2020
PG 12
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA KY2UI
UT WOS:000516322700001
OA hybrid
DA 2025-04-22
ER

PT J
AU Lu, YD
   Zhang, Z
   Fang, XY
   Gao, LJ
   Lu, LJ
AF Lu, Yiding
   Zhang, Zhan
   Fang, Xinyi
   Gao, Linjie
   Lu, Linjun
TI Resilience of Urban Road Network to Malignant Traffic Accidents
SO JOURNAL OF ADVANCED TRANSPORTATION
LA English
DT Article
ID VULNERABILITY ANALYSIS
AB Malignant traffic accidents are typical devastating events suffered by the urban road network. They cause severe functional loss when loading on the urban road network is high, exerting a significant impact on the operation of the city. The resilience of a road network refers to its ability to maintain a certain level of capacity and service when disturbed by external factors and to recover after a disturbance event, which is a crucial factor in the construction of transportation infrastructure systems. A comprehensive understanding of the adverse effects of malignant traffic accidents on the urban road network is imperative, and resilience is a concept employed to systematically explain this. This study investigates the impact of malignant traffic accidents on the resilience of the urban road network. A simulation is carried out focusing on an ideal urban road network, describing the temporal and spatial distribution of the average speed of road sections in the network. Inspired by the simulation experiment results, the ideal resilience curve is summarized, and the theory of resilience concept portrayal is innovatively developed into "6R" (redundancy, reduction, robustness, recovery, reinforcement, and rapidity). Combining the topological and "6R" resilience attributes of the urban road network, the urban road network resilience evaluation system is constructed, which yields an all-round and full-process evaluation for the urban road network with malignant traffic accidents. Results show that under malignant traffic accidents, the resilience of high-class surface roads, such as primary roads, is the poorest, suggesting that more attention and resources must be devoted to high-class surface roads. This study on the urban road network deepens the understanding and portrayal of its resilience and proposes an evaluation method to analyze its performance under disruption events.
C1 [Lu, Yiding; Fang, Xinyi; Gao, Linjie; Lu, Linjun] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Dept Traff Engn, Shanghai 200240, Peoples R China.
   [Zhang, Zhan] Shanghai Jiao Tong Univ, Sch Design, Shanghai 200240, Peoples R China.
C3 Shanghai Jiao Tong University; Shanghai Jiao Tong University
RP Zhang, Z (corresponding author), Shanghai Jiao Tong Univ, Sch Design, Shanghai 200240, Peoples R China.
EM zhanzhang@sjtu.edu.cn
RI Gao, Linjie/ABE-8942-2021; Lu, Linjun/L-6856-2019; Zhang,
   Zhan/HKF-5211-2023
OI Lu, Yiding/0000-0002-7570-1368; zhang, zhan/0000-0002-3481-1149
FU Transportation Research Centre of Shanghai Jiao Tong University
FX The authors thank the Transportation Research Centre of Shanghai Jiao
   Tong University for its help and support. The authors also would like to
   thank Lian Zhu for her help in the simulation experiment.
CR Afzal N, 2016, 2016 3RD IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS, P126, DOI 10.1109/BHI.2016.7455851
   Bell MGH, 2000, TRANSPORT RES B-METH, V34, P533, DOI 10.1016/S0191-2615(99)00042-9
   Berdica K., 2002, TRANSPORT POLICY, V9, P117, DOI DOI 10.1016/S0967-070X(02)00011-2
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chen A, 2007, NETW SPAT ECON, V7, P241, DOI 10.1007/s11067-006-9012-5
   Chong Peng-yun, 2013, Computer Engineering, V39, P20, DOI 10.3969/j.issn.1000-3428.2013.09.005
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Hansen M., 1990, Studies on the Loma Prieta Earthquake No. 1. The Shake with Freight: The Impact of the Loma Prieta Earthquake on Bay Area Truckers. Working Paper
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, ENG ECOLOGICAL CONST, V1st, DOI 10.17226/4919
   Husdal J, 2004, P 2 INT S TRANSP NET
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Jenelius E., 2006, Nectar Cluster, V1, P1
   Jenelius E, 2006, TRANSPORT RES A-POL, V40, P537, DOI 10.1016/j.tra.2005.11.003
   Lai XF, 2020, J ADV TRANSPORT, V2020, DOI 10.1155/2020/5398298
   Mao XH, 2021, J ADV TRANSPORT, V2021, DOI 10.1155/2021/8871876
   Matisziw TC, 2009, COMPUT OPER RES, V36, P16, DOI 10.1016/j.cor.2007.09.004
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Murray AT, 2008, GROWTH CHANGE, V39, P573, DOI 10.1111/j.1468-2257.2008.00447.x
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Qiliang B., 2017, PLANNER, V33
   Quium A., 2002, ENG CONCERNS FLOOD
   Taylor MAP, 2006, NETW SPAT ECON, V6, P267, DOI 10.1007/s11067-006-9284-9
   Wang L, 2020, COMPLEXITY, V2020, DOI 10.1155/2020/7952309
   Wears R L., 2006, Qual Saf Health Care, V15, P447, DOI DOI 10.1136/QSHC.2006.018390
   Wesemann L., 1996, TRANSPORTATION RES R, P67, DOI [DOI 10.1177/0361198196155900109, 10.1177/0361198196155900109]
   Zhong P., 2015, TOPOLOGY PROPERTIES
   Zhu SJ, 2010, TRANSPORT RES A-POL, V44, P771, DOI 10.1016/j.tra.2010.07.001
NR 29
TC 5
Z9 6
U1 16
U2 103
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 MAY 6
PY 2022
VL 2022
AR 3682472
DI 10.1155/2022/3682472
PG 13
WC Engineering, Civil; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Transportation
GA 1I8AS
UT WOS:000797449600001
OA gold
DA 2025-04-22
ER

PT J
AU Rezende, OM
   Miranda, FM
   Haddad, AN
   Miguez, MG
AF Rezende, Osvaldo M.
   Miranda, Francis M.
   Haddad, Assed N.
   Miguez, Marcelo G.
TI A Framework to Evaluate Urban Flood Resilience of Design Alternatives
   for Flood Defence Considering Future Adverse Scenarios
SO WATER
LA English
DT Article
DE flood resilience; flood risk management; urban flood; resilience index;
   flood control evaluation; climate future scenarios; urban stormwater
   planning
ID STORMWATER MANAGEMENT; LAND-USE; SYSTEMS; INDEX
AB In urbanized plains that are subject to flooding, the socioeconomic aspects, climate characteristics, built environment, and riverine processes exhibit bi-univocal relationships with the flood formation itself, creating a pattern of development without a predefined equilibrium state. The complexity of processes involved in flood management and the need for a comparative assessment method to hierarchise different design alternatives or planning scenarios requires practical and quantitative methods for urban diagnoses, including flood risk and resilience aspects. This paper proposes an alternative pathway to evaluate design alternatives for urban flood mitigation, assessing resilience in quantitative terms. In this way, a methodological framework is presented suppress to evaluate flood resilience in urban watersheds planning, through the application of the Urban Flood Resilience Index (UFRI) and Future Scenarios Criteria (FSC). A case study illustrates the method using an urban watershed in Rio de Janeiro/Brazil. This study considered two possible design alternatives for flood control, with concentrated and distributed measures. The resilience mapping using the UFRI showed that the adoption of distributed measures could increase the areas classified as showing very high resilience by 41%, while very low resilience areas would be reduced by 87%. The FSC is able to present the integrated results of resilience variation from present and future conditions, considering, for example, climate change effects or unplanned urbanisation scenarios. The framework is able to perform comparisons between alternatives, showing the advantages associated with adopting distributed measures over the watershed, which reflected in a resilience value that was 24% higher when compared to the results obtained for the concentrated solutions scenario.
C1 [Rezende, Osvaldo M.; Miranda, Francis M.; Haddad, Assed N.; Miguez, Marcelo G.] Univ Fed Rio de Janeiro, POLI, PEA, EQ, BR-21941909 Rio de Janeiro, Brazil.
   [Haddad, Assed N.; Miguez, Marcelo G.] Univ Fed Rio de Janeiro, POLI, Escola Politecn, BR-21941909 Rio de Janeiro, Brazil.
   [Miguez, Marcelo G.] Univ Fed Rio de Janeiro, POLI, PEU, BR-21941909 Rio de Janeiro, Brazil.
   [Miguez, Marcelo G.] Univ Fed Rio de Janeiro, PEC, COPPE, BR-21941450 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 Rezende, OM (corresponding author), Univ Fed Rio de Janeiro, POLI, PEA, EQ, BR-21941909 Rio de Janeiro, Brazil.
EM om.rezende@hidro.ufrj.br
RI Rezende, Osvaldo/P-4740-2019; Haddad, Assed/C-9206-2014; Miguez, Marcelo
   Gomes/A-3252-2013
OI Miranda, Francis/0000-0002-3948-0326; Haddad, Assed/0000-0002-4793-0905;
   Moura Rezende, Osvaldo/0000-0002-9424-7906; Miguez, Marcelo
   Gomes/0000-0003-4206-4013
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brasil
   (CAPES) [001]; Conselho Nacional de Desenvolvimento Cientifico e
   Tecnologico (CNPq)
FX This research was funded by Coordenacao de Aperfeicoamento de Pessoal de
   Nivel Superior-Brasil (CAPES) (Finance Code 001) and Conselho Nacional
   de Desenvolvimento Cientifico e Tecnologico (CNPq).
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2012, MAN PROP SUST URB DR
   [Anonymous], 2018, WATER SUI, DOI DOI 10.3390/w10091230
   [Anonymous], 2007, Advances in Urban Flood Management
   [Anonymous], 2017, THESIS
   [Anonymous], 2018, Economic losses, poverty and disasters, 1998-2017
   Baptista M.B., 2011, TECNICAS COMPENSATOR
   Baptista S.R., 2014, Design and use of composite indices in assessments of climate change vulnerability and resilience
   Barendrecht Marlies H., 2017, Water Security, V1, P3, DOI 10.1016/j.wasec.2017.02.001
   Barría P, 2019, WATER-SUI, V11, DOI 10.3390/w11030572
   Batica J., 2015, Methodology for flood resilience assessment in urban environments and mitigation strategy development
   Beer F., 2009, Vector Mechanics for Engineers: Statics, V9th
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Bruijn K. M. de, 2004, Water Policy, V6, P53
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Collins M., 2013, CLIMATE CHANGE 2013, P107
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Di Baldassarre G, 2013, HYDROL EARTH SYST SC, V17, P3295, DOI 10.5194/hess-17-3295-2013
   Dierkes C., 2000, P 2 NAT C WAT SENS U
   Driessen PPJ, 2018, WATER-SUI, V10, DOI 10.3390/w10111595
   Escudero-Bueno I., 2011, WP3 ERANET CRUE GRAZ
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Goonetilleke A, 2005, J ENVIRON MANAGE, V74, P31, DOI 10.1016/j.jenvman.2004.08.006
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Han NX, 2017, MATERIALS, V10, DOI 10.3390/ma10010002
   Hoang L, 2016, URBAN WATER J, V13, P739, DOI 10.1080/1573062X.2015.1036083
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Holman-Dodds JK, 2003, J AM WATER RESOUR AS, V39, P205, DOI 10.1111/j.1752-1688.2003.tb01572.x
   Janssen MA, 2006, ECOL SOC, V11
   Kaykhosravi S, 2018, WATER-SUI, V10, DOI 10.3390/w10111541
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Kotter T., 2019, INT J DISASTER RISK, V35
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Mak WWS, 2011, J COUNS PSYCHOL, V58, P610, DOI 10.1037/a0025195
   Marengo J.A., 2016, IMPACTO VULNERABILID
   Mascarenhas FCB, 2002, WATER INT, V27, P208, DOI 10.1080/02508060208686994
   McBain W., 2010, FLOOD RESILIENCE CRI
   McBain W., 2010, Flood resilience and resistance for critical infrastructure
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miguez M. G., 2018, Urban Agglomeration,, DOI [10.5772/intechopen.71658, DOI 10.5772/INTECHOPEN.71658]
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Miguez MG, 2019, GREEN ENERGY TECHNOL, P490, DOI 10.1007/978-3-319-99867-1_84
   Miguez MG, 2017, WATER-SUI, V9, DOI 10.3390/w9060445
   Morita M, 2014, WATER-SUI, V6, P253, DOI 10.3390/w6020253
   Murdock HJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103470
   Nascimento N.O., 1999, URBAN WATER, V1, P113, DOI [10.1016/S1462-0758(00)00009-1, DOI 10.1016/S1462-0758(00)00009-1]
   Pottier N, 2005, APPL GEOGR, V25, P1, DOI 10.1016/j.apgeog.2004.11.003
   Proag V, 2014, PROC ECON FINANC, V18, P369, DOI 10.1016/S2212-5671(14)00952-6
   RESCDAM, 2000, Final Report
   Rezende O. M., 2018, P 13 SUST DEV EN WAT, P1
   Rezende OM, 2019, GREEN ENERGY TECHNOL, P533, DOI 10.1007/978-3-319-99867-1_92
   Rivera F.I., 2015, GEOGRAPHY RESILIENCE
   Rossato L, 2017, FRONT ENV SCI-SWITZ, V5, DOI 10.3389/fenvs.2017.00073
   Salgado J.C.M., 1995, THESIS
   Sayers P., 2013, FLOOD RISK MANAGEMEN
   Sharma AK, 2016, WATER-SUI, V8, DOI 10.3390/w8070272
   Sörensen J, 2016, WATER-SUI, V8, DOI 10.3390/w8080332
   Spence K., 2019, URBAN STORMWATER FLO, P139
   Stocker T.F., IPCC TECHNICAL SUMMA
   Swan A., 2001, P 1 NAT C SUST DRAIN
   Swan A, 2010, PHYS CHEM EARTH, V35, P643, DOI 10.1016/j.pce.2010.07.007
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Withanachchi SS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093062
   Zanetti VB, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080811
   Zanobetti D., 1968, HOUILLE BLANCHE, V1, P17, DOI [10.1051/lhb/1968002, DOI 10.1051/LHB/1968002]
   Zhang DQ, 2017, URBAN WATER J, V14, P113, DOI 10.1080/1573062X.2015.1076488
   Zonensein J., 2008, Proceedings of the 11th international conference on urban drainage, P31
NR 70
TC 32
Z9 34
U1 15
U2 87
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JUL
PY 2019
VL 11
IS 7
AR 1485
DI 10.3390/w11071485
PG 28
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA IQ3DW
UT WOS:000480632300170
OA gold
DA 2025-04-22
ER

PT J
AU Chen, WJ
   Lei, Y
   Qi, L
   Zheng, JX
   Huang, GR
   Wang, HL
AF Chen, Wenjie
   Lei, Yong
   Qi, Long
   Zheng, Jiaxuan
   Huang, Guoru
   Wang, Huilin
TI Understanding the evolution trend of urban flood risk and resilience for
   better flood management
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Urban flood risk; Urban flood resilience; Pearl River Delta; Evolution
   trend; Spatiotemporal analysis
ID MODELS
AB The Pearl River Delta (PRD) has undergone rapid urbanization over the past three decades, leading to significant changes in urban flood risk and resilience. This study addresses the critical need to understand evolution trend of urban flood risk and resilience in the PRD for both pre-urbanization (1990) and post-urbanization (2020) periods. Using 12 indices integrated within the different frameworks, the spatial and temporal evolution of risk and resilience over the past 30 years are analyze. Six new evaluative indicators are introduced to capture spatial characteristics and their evolutionary trends more accurately. Findings reveal the spatial distribution of urban flood risk and resilience. And the results further indicate that high-risk and low-resilience areas have expanded, become more interconnected, and exhibited increased fragmentation and complexity, while spatial aggregation has decreased. High-risk areas particularly show a trend of spreading southward, whereas low-resilience areas have remained relatively stable. Strategies involving green infrastructure to reduce the interconnection of flood risk patches, urban planning to limit the expansion of risk regions, and adaptive management to handle the complexity of flood-prone areas are proposed. This study provides insights into the spatiotemporal evolution of flood risk and resilience, offering valuable guidance for urban planners and policymakers.
C1 [Chen, Wenjie; Qi, Long; Wang, Huilin] South China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Peoples R China.
   [Lei, Yong] Minist Water Resources, Pearl River Water Resources Commiss, Pearl River Hydraul Res Inst, Guangzhou 510611, Peoples R China.
   [Zheng, Jiaxuan] Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Hydraul Engn, Beijing 100084, Peoples R China.
   [Zheng, Jiaxuan] Tsinghua Univ, Key Lab Hydrosphere Sci, Minist Water Resources, Beijing 100084, Peoples R China.
   [Huang, Guoru] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China.
C3 South China Agricultural University; Tsinghua University; Tsinghua
   University; South China University of Technology
RP Wang, HL (corresponding author), South China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Peoples R China.
EM whl@scau.edu.cn
RI Zheng, Jiaxuan/LZI-0921-2025
OI Zheng, Jiaxuan/0000-0003-1836-6249
FU National Natural Science Founda-tion of China [52109018, 12202150];
   Guangdong Basic and Applied Basic Research Foundation [2023A1515010754]
FX This research was funded by the National Natural Science Founda-tion of
   China (52109018, 12202150) , and the Guangdong Basic and Applied Basic
   Research Foundation (2023A1515010754) .
CR Benito G, 2004, NAT HAZARDS, V31, P623
   Buarque ACS, 2020, HYDROLOG SCI J, V65, P1075, DOI 10.1080/02626667.2020.1740705
   Chan FKS, 2024, NAT REV EARTH ENV, V5, P522, DOI 10.1038/s43017-024-00561-x
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Chen XL, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143144
   CRED, 2023, Disasters in Numbers
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Feng DY, 2023, SCI TOTAL ENVIRON, V904, DOI 10.1016/j.scitotenv.2023.166891
   Guangzhou Emergency Management Bureau, 2022, ABOUT US
   Guo KH, 2021, HYDROL EARTH SYST SC, V25, P2843, DOI 10.5194/hess-25-2843-2021
   Haer T, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.102009
   Hawker L, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac4d4f
   Hemmati M, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001382
   Hochrainer-Stigler S, 2020, J ENVIRON MANAGE, V276, DOI 10.1016/j.jenvman.2020.111332
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu L, 2024, ENVIRON RES LETT, V19, DOI 10.1088/1748-9326/ad4402
   Jäger J, 2003, GLOBAL ENVIRON CHANG, V13, P69, DOI 10.1016/S0959-3780(02)00081-X
   [邝敏毅 Kuang Minyi], 2022, [水利学报, Journal of Hydraulic Engineering], V53, P779
   Lai CG, 2020, RISK ANAL, V40, P1399, DOI 10.1111/risa.13493
   Li LL, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat1180
   Liao YX, 2023, J HYDROL, V624, DOI 10.1016/j.jhydrol.2023.129945
   Liu JM, 2024, J ENVIRON MANAGE, V352, DOI 10.1016/j.jenvman.2024.120101
   Liu W, 2023, J HYDROL, V618, DOI 10.1016/j.jhydrol.2023.129267
   Mei C, 2024, J HYDROL, V633, DOI 10.1016/j.jhydrol.2024.130916
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nelson L, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101692
   Peng L, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107319
   Quan RS, 2014, ENVIRON EARTH SCI, V72, P4627, DOI 10.1007/s12665-014-3360-0
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Saja A.A., 2019, A critical review of social resilience assessment frameworks in disaster management, V35
   Shirzaei M, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aap9234
   Sun QK, 2022, NAT HAZARD EARTH SYS, V22, P3815, DOI 10.5194/nhess-22-3815-2022
   Wang WJ, 2023, J HYDROL, V627, DOI 10.1016/j.jhydrol.2023.130396
   Wang YT, 2023, SCI TOTAL ENVIRON, V893, DOI 10.1016/j.scitotenv.2023.164852
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Wu JH, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130230
   Xie HP, 2021, TUNN UNDERGR SP TECH, V107, DOI 10.1016/j.tust.2020.103651
   Xing ZY, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104467
   Xu Z, 2021, J HYDROL, V597, DOI 10.1016/j.jhydrol.2021.126183
   [徐宗学 Xu Zongxue], 2020, [水科学进展, Advances in Water Science], V31, P713
   Zhang R, 2024, INT J DISAST RISK RE, V107, DOI 10.1016/j.ijdrr.2024.104485
   Zheng CX, 2024, J ENVIRON MANAGE, V354, DOI 10.1016/j.jenvman.2024.120308
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zheng JX, 2023, STOCH ENV RES RISK A, V37, P1183, DOI 10.1007/s00477-022-02325-9
   Zhu ZZ, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103963
NR 46
TC 1
Z9 1
U1 32
U2 32
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD DEC
PY 2024
VL 169
AR 112829
DI 10.1016/j.ecolind.2024.112829
EA NOV 2024
PG 13
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA M7M4M
UT WOS:001359335400001
OA gold
DA 2025-04-22
ER

PT J
AU Yu, HC
   Liu, Y
   Liu, CL
   Fan, F
AF Yu, Haichao
   Liu, Yan
   Liu, Chengliang
   Fan, Fei
TI Spatiotemporal Variation and Inequality in China's Economic Resilience
   across Cities and Urban Agglomerations
SO SUSTAINABILITY
LA English
DT Article
DE urban economic resilience; economic resilience opportunity; inequality;
   urban agglomeration
ID REGIONAL RESILIENCE; COMPLEXITY
AB Economic resilience is a critical indicator of the sustainable development of an urban economy. This paper measures the urban economic resilience (UER) of 286 major cities in China from six indicatorseconomic growth, opening up, social development, environmental protection, natural conditions, and technological innovationusing a subjective and objective weighting method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods. Furthermore, kernel density estimation (KDE) was used to reveal the spatial and temporal trends in UER across cities, and a social opportunity function was applied to access the opportunity for economic resilience and the fairness of opportunities for economic resilience in 19 urban agglomerations in China. The results show that the UER was, in general, low across all cities but increased over time. Geographically, the UER disperses from the eastern coast to inland cities. Amongst urban agglomerations in China, the economic resilience opportunity index also varies spatially and increases over time. On the other hand, the opportunity fairness index of UER remained largely stable and substantial inequalities exist across all urban agglomerations, indicating the need for differentiated policy intervention to ensure equality and the sustainable development of the region. The methodology developed in this research can also be applied in other cities and regions to test its re-applicability and to understand the UER in different contexts.
C1 [Yu, Haichao; Fan, Fei] Wuhan Univ, Inst Reg & Urban Rural Dev, 299 Bayi Rd, Wuhan 430072, Hubei, Peoples R China.
   [Yu, Haichao] Colorado State Univ, Sch Tourism Management, Ft Collins, CO 80523 USA.
   [Liu, Yan; Fan, Fei] Univ Queensland, Sch Earth & Environm Sci, Brisbane, Qld 4072, Australia.
   [Liu, Chengliang] East China Normal Univ, Sch Urban & Reg Sci, Shanghai 200241, Peoples R China.
   [Liu, Chengliang] East China Normal Univ, Inst Global Innovat & Dev, Shanghai 200241, Peoples R China.
   [Liu, Chengliang] East China Normal Univ, Inst Ecochongming, Shanghai 200241, Peoples R China.
C3 Wuhan University; Colorado State University System; Colorado State
   University Fort Collins; University of Queensland; East China Normal
   University; East China Normal University; East China Normal University
RP Fan, F (corresponding author), Wuhan Univ, Inst Reg & Urban Rural Dev, 299 Bayi Rd, Wuhan 430072, Hubei, Peoples R China.; Fan, F (corresponding author), Univ Queensland, Sch Earth & Environm Sci, Brisbane, Qld 4072, Australia.; Liu, CL (corresponding author), East China Normal Univ, Sch Urban & Reg Sci, Shanghai 200241, Peoples R China.; Liu, CL (corresponding author), East China Normal Univ, Inst Global Innovat & Dev, Shanghai 200241, Peoples R China.; Liu, CL (corresponding author), East China Normal Univ, Inst Ecochongming, Shanghai 200241, Peoples R China.
EM yyyhc@mails.ccnu.edu.cn; yan.liu@uq.edu.au; clliu@re.ecnu.edu.cn;
   ffan@whu.edu.cn
RI Yu, Haichao/LRU-5027-2024; fan, fan/KDO-5068-2024; Liu, Yan/F-9930-2010;
   Liu, Chengliang/L-8419-2017
OI Fan, Fei/0000-0001-5350-1800; Liu, Yan/0000-0002-1612-779X; Yu,
   Haichao/0000-0002-8151-6409; Liu, Chengliang/0000-0003-4692-2994
FU National Science Foundation of China (NSFC) [41501141, 41501136]; Major
   program of the Chinese National Social Science Foundation [18ZDA040];
   China Scholarship Council (CSC) Project [201706275035]; Wuhan University
   Research Fund for Young Scholar Teams in Humanities & Social Sciences
   [WHU2016024]; Wuhan University Humanities and Social Sciences
   Independent Research Project [2018QN089]; Shanghai Pujiang Program
   [17PJC030]; Fundamental Research Funds for Central University
   [CCNU18TS018]
FX This work was supported by the National Science Foundation of China
   (NSFC) Funded Projects for Distinguished Young Scholars [Nos. 41501141
   and 41501136]; the Major program of the Chinese National Social Science
   Foundation [No. 18ZDA040]; the China Scholarship Council (CSC) Project
   [No. 201706275035]; the Wuhan University Research Fund for Young Scholar
   Teams in Humanities & Social Sciences [No. WHU2016024]; the Wuhan
   University Humanities and Social Sciences Independent Research Project
   [No. 2018QN089]; the Shanghai Pujiang Program [No. 17PJC030] and the
   Fundamental Research Funds for Central University [No. CCNU18TS018].
CR Ali Ifzal., 2007, Asian Development Review, V24, P11, DOI [10.1142/S0116110507000024, 10.2139/ssrn.1833602]
   [Anonymous], 2018, SUSTAINABILITY BASEL, DOI DOI 10.3390/SU10093070
   Awasthi A, 2011, MATH COMPUT MODEL, V53, P98, DOI 10.1016/j.mcm.2010.07.023
   Balland PA, 2015, CAMB J REG ECON SOC, V8, P167, DOI 10.1093/cjres/rsv007
   Boschma R, 2007, J ECON GEOGR, V7, P537, DOI 10.1093/jeg/lbm021
   Brakman S, 2015, CAMB J REG ECON SOC, V8, P225, DOI 10.1093/cjres/rsv005
   Briguglio L., 2006, Constr, V1, P265, DOI DOI 10.22459/PIRIG.11.2005.03
   [陈梦远 Chen Mengyuan], 2017, [地理科学进展, Progress in Geography], V36, P1435
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Dawley S, 2010, LOCAL ECON, V25, P650, DOI 10.1080/02690942.2010.533424
   Du Z., 2010, CHINA RURAL EC, V11, P4
   EPANECHN.VA, 1969, THEOR PROBAB APPL+, V14, P153, DOI 10.1137/1114019
   Fan F, 2014, J GEOGR SCI, V24, P492, DOI 10.1007/s11442-014-1102-6
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Frenken K, 2007, J ECON GEOGR, V7, P635, DOI 10.1093/jeg/lbm018
   Grabher G., 1993, EMBEDDED FIRM SOCIOE, P255
   Guillaumont P, 2009, OXF DEV STUD, V37, P193, DOI 10.1080/13600810903089901
   Hassink R, 2007, ENVIRON PLANN A, V39, P1147, DOI 10.1068/a3848
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   Hill Edward., 2008, EXPLORING REGIONAL E
   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
   Hudson R, 2005, ENVIRON PLANN A, V37, P581, DOI 10.1068/a36274
   Hudson R, 2007, J ECON GEOGR, V7, P217, DOI 10.1093/jeg/lbl026
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   Jacques S., 2010, EC B, V1, P421
   Liu J.X., 1998, SYST ENG THEORY PRAC, V2, P54
   Martin R, 2007, J ECON GEOGR, V7, P573, DOI 10.1093/jeg/lbm019
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   McInroy N., 2010, PRODUCTIVE LOCAL EC, P5
   Osborne G., BUDGET 2014 SPEECH U
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Rose A, 2005, J REGIONAL SCI, V45, P75, DOI 10.1111/j.0022-4146.2005.00365.x
   Silverman B. W., 1998, Density Estimation for Statistics and Data Analysis, DOI 10.1201/9781315140919
   Simin S., 2015, URBAN PLAN INT, V2, P8
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sun CZ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082863
   [孙久文 Sun Jiuwen], 2017, [经济地理, Economic Geography], V37, P1
   Wang SH, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070652
   Wang S, 2019, TECHNOL ANAL STRATEG, V31, P67, DOI 10.1080/09537325.2018.1485889
   Zhang H, 2011, TOURISM MANAGE, V32, P443, DOI 10.1016/j.tourman.2010.02.007
   Zhang XS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103403
   Zhang Y., 2012, CHINA SCI TECHNOL FO, V1, P81
   Zhu Z., 2011, ECON GEOGR, V10, P139
NR 45
TC 51
Z9 55
U1 31
U2 188
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2018
VL 10
IS 12
AR 4754
DI 10.3390/su10124754
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 HG9OL
UT WOS:000455338100420
OA Green Submitted, Green Published, gold
DA 2025-04-22
ER

PT J
AU Fan, C
   Jiang, XQ
   Lee, RA
   Mostafavi, A
AF Fan, Chao
   Jiang, Xiangqi
   Lee, Ronald
   Mostafavi, Ali
TI Equality of access and resilience in urban population-facility networks
SO NPJ URBAN SUSTAINABILITY
LA English
DT Article
ID OPTIMIZATION; MITIGATION; HAZARDS
AB While conceptual definitions have provided a foundation for measuring inequality of access and resilience in urban facilities, the challenge for researchers and practitioners alike has been to develop analytical support for urban system development that reduces inequality and improves resilience. Using 30 million large-scale anonymized smartphone-location data, here, we calibrate models to optimize the distribution of facilities and present insights into the interplay between equality and resilience in the development of urban facilities. Results from ten metropolitan counties in the United States reveal that inequality of access to facilities is due to the inconsistency between population and facility distributions, which can be reduced by minimizing total travel costs for urban populations. Resilience increases with more equitable facility distribution by increasing effective embeddedness ranging from 10% to 30% for different facilities and counties. The results imply that resilience and equality are related and should be considered jointly in urban system development.
C1 [Fan, Chao; Mostafavi, Ali] Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 79016 USA.
   [Jiang, Xiangqi; Lee, Ronald] Texas A&M Univ, Dept Comp Sci & Engn, 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 Fan, C; Mostafavi, A (corresponding author), Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 79016 USA.
EM chfan1993@gmail.com; amostafavi@civil.tamu.edu
RI Jiang, Xiangqi/KHD-0396-2024; Fan, Chao/AAM-2182-2020; Mostafavi,
   Ali/R-2133-2018
FU National Science Foundation [CMMI-1846069]; Texas AM University [699];
   Microsoft Azure AI for Public Health Grant
FX This material is based in part upon work supported by the National
   Science Foundation under Grant CMMI-1846069 (CAREER), the Texas A & M
   University X-grant 699, and the Microsoft Azure AI for Public Health
   Grant. The authors also would like to acknowledge the data support from
   Veraset, Inc. and SafeGraph, Inc. 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,
   Microsoft Azure, SafeGraph or Veraset, Inc.
CR Acemoglu D, 2009, SCIENCE, V326, P678, DOI 10.1126/science.1181939
   Achten S, 2020, WORLD DEV, V136, DOI 10.1016/j.worlddev.2020.105114
   [Anonymous], 2021, North American Industry Classification System
   Bettencourt LMA, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aat8812
   Bornman E, 2016, INFORM COMMUN SOC, V19, P264, DOI 10.1080/1369118X.2015.1065285
   Chen MK, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2015455118
   Chen MK, 2018, SCIENCE, V360, P1020, DOI 10.1126/science.aaq1433
   Chetty R, 2016, AM ECON REV, V106, P855, DOI 10.1257/aer.20150572
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Coleman N, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000401
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dargin JS, 2021, INT J DISAST RISK RE, V54, DOI 10.1016/j.ijdrr.2021.102043
   Di Clemente R, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05690-8
   Diao M, 2021, NAT SUSTAIN, V4, P494, DOI 10.1038/s41893-020-00678-z
   DOUGLAS PH, 1976, J POLIT ECON, V84, P903, DOI 10.1086/260489
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Emrich CT, 2020, ENVIRON HAZARDS-UK, V19, P228, DOI 10.1080/17477891.2019.1675578
   Esmalian A, 2021, RISK ANAL, V41, P2336, DOI 10.1111/risa.13738
   Fan C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70524-x
   Fan C, 2020, IEEE SYST J, V14, P1265, DOI 10.1109/JSYST.2019.2926375
   Florida R, 2016, REG STUD, V50, P79, DOI 10.1080/00343404.2014.884275
   Frigerio I, 2016, ENVIRON SCI POLICY, V63, P187, DOI 10.1016/j.envsci.2016.06.001
   Ganin AA, 2019, TRANSPORT RES C-EMER, V100, P318, DOI 10.1016/j.trc.2019.01.014
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gao JX, 2016, NATURE, V530, P307, DOI 10.1038/nature16948
   Gazzotti P, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23613-y
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Hung HC, 2016, LAND USE POLICY, V50, P48, DOI 10.1016/j.landusepol.2015.08.029
   Jiang JJ, 2018, P NATL ACAD SCI USA, V115, pE639, DOI 10.1073/pnas.1714958115
   Kondo N, 2012, J EPIDEMIOL COMMUN H, V66, DOI 10.1136/jech-2011-200321
   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
   Li DQ, 2015, P NATL ACAD SCI USA, V112, P669, DOI 10.1073/pnas.1419185112
   Liu XP, 2020, NAT SUSTAIN, V3, P564, DOI 10.1038/s41893-020-0521-x
   Lu X, 2012, P NATL ACAD SCI USA, V109, P11576, DOI 10.1073/pnas.1203882109
   Marini F, 2015, CHEMOMETR INTELL LAB, V149, P153, DOI 10.1016/j.chemolab.2015.08.020
   Markhvida M, 2020, NAT SUSTAIN, V3, P538, DOI 10.1038/s41893-020-0508-7
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Millett GA, 2020, ANN EPIDEMIOL, V47, P37, DOI 10.1016/j.annepidem.2020.05.003
   Mirza MU, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.1919913118
   Pereira RHM, 2013, GEOGR ANAL, V45, P77, DOI 10.1111/gean.12002
   Moro E, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22086-3
   Olmos LE, 2020, TRANSPORT RES C-EMER, V115, DOI 10.1016/j.trc.2020.102640
   Ouyang M, 2017, COMPUT-AIDED CIV INF, V32, P909, DOI 10.1111/mice.12252
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V121, P43, DOI 10.1016/j.ress.2013.06.040
   Resende MGC, 2007, ANN OPER RES, V150, P205, DOI 10.1007/s10479-006-0154-0
   Small ML., 2018, P NATL ACAD SCI US, V0, P201802537
   Song CM, 2010, NAT PHYS, V6, P818, DOI 10.1038/NPHYS1760
   Tao ZL, 2014, INT J HEALTH GEOGR, V13, DOI 10.1186/1476-072X-13-33
   Wang WP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10063-w
   Wu SN, 2021, RELIAB ENG SYST SAFE, V205, DOI 10.1016/j.ress.2020.107253
   Xu MK, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-49932-1
   Xu Y, 2019, J R SOC INTERFACE, V16, DOI 10.1098/rsif.2019.0536
   Xu YY, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb4112
   Yabe T, 2020, EPJ DATA SCI, V9, DOI 10.1140/epjds/s13688-020-00255-6
   Yabe T, 2020, TRANSPORT RES D-TR E, V82, DOI 10.1016/j.trd.2020.102260
   Yao Y, 2018, COMPUT ENVIRON URBAN, V70, P163, DOI 10.1016/j.compenvurbsys.2018.03.005
   Zhang HX, 2020, J R SOC INTERFACE, V17, DOI 10.1098/rsif.2020.0236
NR 62
TC 26
Z9 26
U1 5
U2 20
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 MAR 31
PY 2022
VL 2
IS 1
AR 9
DI 10.1038/s42949-022-00051-3
PG 12
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA I0SL9
UT WOS:000999960800001
OA gold
DA 2025-04-22
ER

PT J
AU Rezaei, H
   Macioszek, E
   Derakhshesh, P
   Houshyar, H
   Ghabouli, E
   Lomer, ARB
   Ghanbari, R
   Esmailzadeh, A
AF Rezaei, Hamid
   Macioszek, Elzbieta
   Derakhshesh, Parisa
   Houshyar, Hassan
   Ghabouli, Elias
   Lomer, Amir Reza Bakhshi
   Ghanbari, Ronak
   Esmailzadeh, Abdulsalam
TI A Spatial Decision Support System for Modeling Urban Resilience to
   Natural Hazards
SO SUSTAINABILITY
LA English
DT Article
DE natural hazards; urban resilience; spatial decision support system
ID GEOGRAPHIC INFORMATION-SYSTEMS; WEIGHTED AVERAGING OWA; SITE SELECTION;
   MULTICRITERIA EVALUATION; GIS; OPERATORS; RISK
AB A major component of urban management is studying and evaluating urban resilience in order to minimize the effects of natural hazards. This is because of the increasing number of natural hazards occurring worldwide. A spatial decision support system is presented for modeling urban resilience and selecting resilient zones in response to natural hazards. This system is implemented based on 22 criteria, grouped into three categories: demographics, infrastructure, and environmental. The criteria are then standardized using minimum and maximum methods, and their importance is determined by the analytical hierarchy process (AHP). The resilience maps in various scenarios are prepared using the ordered weighted average (OWA) method. Flow accumulation (distance from fault), vulnerable population density (vulnerable population density), and distance from road network (material type) were regarded as the most important criteria for flood resilience (earthquake resilience) from environmental, demographic, and infrastructure criteria, respectively. There are different areas that are considered to have very low resilience depending on the risk attitude. According a pessimistic scenario, 1% of Tehran's area has very low resilience, while according to an optimistic scenario, 38% has very low resilience. This system can be used by urban planners and policymakers for the purpose of improving resilience to natural hazards in low-resilience areas.
C1 [Rezaei, Hamid] Florida Int Univ, Dept Civil & Environm Engn, Miami, FL 33174 USA.
   [Macioszek, Elzbieta] Silesian Tech Univ, Fac Transport & Aviat Engn, Dept Transport Syst Traff Engn & Logist, PL-40019 Katowice, Poland.
   [Derakhshesh, Parisa] Islamic Azad Univ, Fac Engn, Dept Urban Design, North Tehran Branch, Tehran 1651153511, Iran.
   [Houshyar, Hassan] Payame Noor Univ, Fac Social Sci, Dept Geog, Tehran 193954697, Iran.
   [Ghabouli, Elias] Tarbiat Modares Univ, Fac Arts & Architecture, Dept Urban Planning & Design, Tehran, Iran.
   [Lomer, Amir Reza Bakhshi] Birkbeck Univ London, Dept Geog, London WC1E 7HX, England.
   [Ghanbari, Ronak] Univ Iowa, Dept Comp Sci, Atmospher & Environm Res Lab, Iowa City, IA 52242 USA.
   [Esmailzadeh, Abdulsalam] Allameh Tabatabai Univ, Fac Social Sci, Dept Social Planning, Tehran 1544915113, Iran.
C3 State University System of Florida; Florida International University;
   Silesian University of Technology; Islamic Azad University; Payame Noor
   University; Tarbiat Modares University; University of London; Birkbeck
   University London; University of Iowa; Allameh Tabataba'i University
RP Macioszek, E (corresponding author), Silesian Tech Univ, Fac Transport & Aviat Engn, Dept Transport Syst Traff Engn & Logist, PL-40019 Katowice, Poland.
EM hreza004@fiu.edu; elzbieta.macioszek@polsl.pl;
   parisa.derakhshesh92@gmail.com; h.houshyar@pnu.ac.ir;
   elias.ghabouli@modares.ac.ir; abakhs01@student.bbk.ac.uk;
   ronak-ghanbari@uiowa.edu; a.esmailzadeh2000@gmail.com
RI Ghabouli, Elias/HMD-7712-2023; Rezaei, Hamid/T-8306-2019; Macioszek,
   Elzbieta/AAH-5949-2020
OI Macioszek, Elzbieta/0000-0002-1345-0022; Ghabouli,
   Elias/0000-0002-4569-104X
CR Afsari R, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15051248
   Afsari R, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11070380
   Aliniai K, 2015, J INDIAN SOC REMOTE, V43, P801, DOI 10.1007/s12524-014-0415-3
   Araya-Muñoz D, 2017, SCI TOTAL ENVIRON, V576, P508, DOI 10.1016/j.scitotenv.2016.10.077
   Asadi H, 2022, GEOJOURNAL, V87, P5179, DOI 10.1007/s10708-021-10564-6
   Bathrellos GD, 2017, SCI TOTAL ENVIRON, V575, P119, DOI 10.1016/j.scitotenv.2016.10.025
   Boloorani AD, 2021, ENVIRON POLLUT, V279, DOI 10.1016/j.envpol.2021.116859
   Boloorani AD, 2020, ATMOS ENVIRON, V224, DOI 10.1016/j.atmosenv.2020.117299
   Boroushaki S, 2008, COMPUT GEOSCI-UK, V34, P399, DOI 10.1016/j.cageo.2007.04.003
   Bosisio A, 2021, ENERGIES, V14, DOI 10.3390/en14144133
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cardona O., 2004, MAPPING VULNERABILIT
   Chen H, 2011, ENVIRON MODELL SOFTW, V26, P395, DOI 10.1016/j.envsoft.2010.09.005
   Chen Y, 2012, ENVIRON MODELL SOFTW, V38, P147, DOI 10.1016/j.envsoft.2012.05.010
   Chun H, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122222
   Clements Archie C A, 2006, Int J Health Geogr, V5, P57, DOI 10.1186/1476-072X-5-57
   Dimelli D., 2020, UPLAND J URBAN PLAN, V5, P65
   Doorga JRS, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102683
   Duan CY, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14133101
   Feizizadeh B, 2013, NAT HAZARDS, V65, P2105, DOI 10.1007/s11069-012-0463-3
   Firozjaei MK, 2019, RENEW ENERG, V136, P1130, DOI 10.1016/j.renene.2018.09.090
   Giovinazzi S, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10070461
   Gorsevski PV, 2012, WASTE MANAGE, V32, P287, DOI 10.1016/j.wasman.2011.09.023
   Hadidi A, 2020, URBAN WATER J, V17, P407, DOI 10.1080/1573062X.2020.1713172
   He Z, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11110523
   Jelokhani-Niaraki M, 2015, LAND USE POLICY, V42, P492, DOI 10.1016/j.landusepol.2014.09.003
   Kaaviya R, 2021, ECOL PROCESS, V10, DOI 10.1186/s13717-021-00341-1
   Kaur H, 2018, ANN GIS, V24, P33, DOI 10.1080/19475683.2018.1424739
   Kazemi-Beydokhti M, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7422-3
   Knaapen AM, 1999, FREE RADICAL BIO MED, V27, P234, DOI 10.1016/S0891-5849(98)00285-8
   Lomer ARB, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15054019
   Majidi M.Z., 2022, Journal of Transportation Research, V19, P359
   Malczewski J, 2003, ENVIRON PLANN A, V35, P1769, DOI 10.1068/a35156
   Malczewski J, 2006, INT J ENVIRON TECHNO, V6, P7, DOI 10.1504/IJETM.2006.008251
   Mallick J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031538
   Mamdoohi A. R., 2022, Quarterly Journal of Transportation Engineering, V14, P2233, DOI [10.22119/jte.2022.285329.2532, DOI 10.22119/JTE.2022.285329.2532]
   Mayouf Z., 2022, TECHNIUM SOC SCI J, V36, P607, DOI DOI 10.47577/TSSJ.V36I1.7386
   Mijani N, 2019, ECOL INDIC, V104, P1, DOI 10.1016/j.ecolind.2019.04.069
   Mohamed SA, 2020, NAT HAZARDS, V102, P707, DOI 10.1007/s11069-019-03571-x
   Mokarram M, 2022, ENVIRON SCI POLLUT R, V29, P43891, DOI 10.1007/s11356-022-18839-2
   Mokarram M, 2017, COMPUT ELECTRON AGR, V132, P1, DOI 10.1016/j.compag.2016.11.005
   Nadizadeh Shorabeh S., 2017, Natural Environment. Iranian Natural Resources), V70, P949, DOI [10.22059/jne.2017.231160.1365, DOI 10.22059/JNE.2017.231160.1365]
   Ozturk D, 2020, KUWAIT J SCI, V47
   Papathoma-Köhle M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50257-2
   Qureshi S, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13050949
   Rahmati O, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11161943
   Rakhshani T, 2017, ARCH PSYCHIATR PSYCH, V19, P66, DOI 10.12740/APP/76875
   Rezaei H., 2021, Journal of Transportation Research, V18, P61, DOI DOI 10.22034/TRI.2021.115402
   Rezvani M, 2022, J OUTDOOR REC TOUR, V37, DOI 10.1016/j.jort.2021.100485
   Saaty T., 1980, ANALYTIC HIERARCHY P, P69
   SAATY TL, 1980, BEHAV SCI, V25, P180, DOI 10.1002/bs.3830250303
   SAATY TL, 1984, J MATH PSYCHOL, V28, P205, DOI 10.1016/0022-2496(84)90027-0
   SAATY TL, 1990, MANAGE SCI, V36, P259, DOI 10.1287/mnsc.36.3.259
   Salcioglu E, 2008, WORLD J PEDIATR, V4, P165, DOI 10.1007/s12519-008-0032-8
   Shorabeh SN, 2022, RENEW SUST ENERG REV, V168, DOI 10.1016/j.rser.2022.112778
   Shorabeh SN, 2020, INT J REMOTE SENS, V41, P7384, DOI 10.1080/01431161.2020.1759841
   Shorabeh SN, 2019, RENEW ENERG, V143, P958, DOI 10.1016/j.renene.2019.05.063
   Souissi D, 2020, GEOCARTO INT, V35, P991, DOI 10.1080/10106049.2019.1566405
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Tripathi AK, 2022, GEOJOURNAL, V87, P3507, DOI 10.1007/s10708-021-10445-y
   Wang YM, 2011, WATER RESOUR MANAG, V25, P3465, DOI 10.1007/s11269-011-9866-2
   Xu ZS, 2005, INT J INTELL SYST, V20, P843, DOI 10.1002/int.20097
   YAGER RR, 1988, IEEE T SYST MAN CYB, V18, P183, DOI 10.1109/21.87068
   Zabihi H, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11041009
NR 64
TC 9
Z9 9
U1 9
U2 36
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY 29
PY 2023
VL 15
IS 11
AR 8777
DI 10.3390/su15118777
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 I8XO4
UT WOS:001005559500001
OA gold
DA 2025-04-22
ER

PT J
AU Arun, M
   Barik, D
   Chandran, SSR
   Praveenkumar, S
   Tudu, K
AF Arun, M.
   Barik, Debabrata
   Chandran, Sreejesh S. R.
   Praveenkumar, Seepana
   Tudu, Kapura
TI Economic, policy, social, and regulatory aspects of AI-driven smart
   buildings
SO JOURNAL OF BUILDING ENGINEERING
LA English
DT Article
DE Building economics; Smart buildings; Integrated artificial intelligence;
   Urban planning; Resilient cities
AB The significance of this research depends on the fact that it thoroughly investigates the effective implementation of advanced technologies in smart buildings particularly automated systems in buildings, sensors, and data analytics, to enhance operational efficiency, occupant comfort, and sustainability associated with the incorporation of artificial intelligence (AI) technology into Building Management Systems (BMS). Improving the building's efficiency, sustainability, and the occupants' comfort is a prime goal of this research. However while attaining this, certain obstacles such as socioeconomic inequalities, data privacy protection, negotiating regulatory landscapes, and providing effective access to all the smart technologies make hurdles that need to be overcome and rectified. The Integrated AI-Driven Smart Buildings Framework (IAI-DSBF) is a novel strategy that has been modeled and implemented to tackle, analyze, and set out the possibilities intelligently to the user to make a necessary action and in some instant, it decides itself and makes the logical action which needs for the moment. The IAI-DSBF provides a methodical approach to managing smart buildings' monetary, societal, and regulatory components, economic growth, effective policymaking, social inclusion, and navigating regulatory complexity can all be achieved using this model with the aid of artificial intelligence. This all-encompassing method makes it easier to create smart building ecosystems that emphasize openness, responsibility, and the general welfare of society. Our simulation results show that the suggested framework effectively improves building performance measures, increases compliance with regulations, and encourages community involvement by analyzing the data from the smart-building system Kaggle dataset. Urban planning, energy management, public health, and disaster response are a few fields that have been useful for the IAI-DSBF. The proposed IAI-DSBF increases the building performance ratio of 99.1 %, community involvement ratio of 98.5 %, economic growth ratio of 99.12 %, sustainability ratio of 98.2 %, and resilience ratio of 97.5 % compared to other preexisting models. By adopting this integrated approach, stakeholders can fully utilize smart technologies to build sustainable and resilient communities and cities.
C1 [Arun, M.] Saveetha Inst Med & Tech Sci SIMATS, Saveetha Sch Engn, Dept Mech Engn, Thandalam 602105, India.
   [Barik, Debabrata] Karpagam Acad Higher Educ, Dept Mech Engn, Coimbatore 64102, India.
   [Barik, Debabrata] Karpagam Acad Higher Educ, Ctr Energy & Environm, Coimbatore 641021, India.
   [Chandran, Sreejesh S. R.] Mt Zion Coll Engn, Dept Mech Engn, Pathanamthitta 689649, India.
   [Praveenkumar, Seepana] Ural Fed Univ, Dept Nucl & Renewable Energy, Ekaterinburg 620002, Russia.
   [Tudu, Kapura] Odisha Univ Technol & Res, Sch Mech Sci, Dept Mech Engn, Bhubaneswar 751029, India.
C3 Saveetha Institute of Medical & Technical Science; Saveetha School of
   Engineering; Karpagam Academy of Higher Education (KAHE); Karpagam
   Academy of Higher Education (KAHE); Ural Federal University
RP Barik, D (corresponding author), Karpagam Acad Higher Educ, Dept Mech Engn, Coimbatore 64102, India.
EM debabrata93@gmail.com
RI PraveenKumar, Seepana/AAR-6618-2021; /P-1666-2016
OI /0000-0003-3371-4619
CR Arowoiya Victor Adetunji, 2024, Energy and Built Environment, V5, P641, DOI 10.1016/j.enbenv.2023.05.004
   Arun M, 2024, CASE STUD THERM ENG, V61, DOI 10.1016/j.csite.2024.104867
   Arun M, 2024, CASE STUD THERM ENG, V56, DOI 10.1016/j.csite.2024.104204
   Arun M, 2024, CHEM ENG J ADV, V18, DOI 10.1016/j.ceja.2024.100589
   Arun M, 2024, CASE STUD THERM ENG, V61, DOI 10.1016/j.csite.2024.105115
   Baduge SK, 2022, AUTOMAT CONSTR, V141, DOI 10.1016/j.autcon.2022.104440
   Behzadi A, 2020, APPL THERM ENG, V181, DOI 10.1016/j.applthermaleng.2020.115926
   Behzadi A, 2020, ENERGY, V210, DOI 10.1016/j.energy.2020.118528
   Bibri SE, 2024, SUSTAIN CITIES SOC, V108, DOI 10.1016/j.scs.2024.105516
   Binyamin SS, 2024, ENERGY STRATEG REV, V51, DOI 10.1016/j.esr.2023.101288
   Bourhnane S, 2020, SN APPL SCI, V2, DOI 10.1007/s42452-020-2024-9
   Chowdhury NB, 2023, bioRxiv, DOI [10.1101/2023.07.09.548275, 10.22158/jepf.v9n3p127]
   Danish M.S.S., 2023, Circ. Econ., V2, DOI DOI 10.1016/J.CEC.2023.100040
   de Oliveira RT, 2023, J CLEAN PROD, V430, DOI 10.1016/j.jclepro.2023.139712
   Debrah C, 2022, AUTOMAT CONSTR, V137, DOI 10.1016/j.autcon.2022.104192
   Di Stefano AG, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app132412981
   Gholamzadehmir M, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102480
   Naeini HG, 2024, ARCHIT ENG DES MANAG, V20, P1725, DOI 10.1080/17452007.2023.2254294
   Heidari A, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104089
   Herath H., 2022, Int. J. Inform. Managem. Data Insights, V2, P100076, DOI DOI 10.1016/J.JJIMEI.2022.100076
   Hernández-Moral G, 2021, ENERGIES, V14, DOI 10.3390/en14154624
   kaggle, About us
   Kaloudi N, 2020, ACM COMPUT SURV, V53, DOI 10.1145/3372823
   Kermani M, 2021, RENEW ENERG, V171, P1115, DOI 10.1016/j.renene.2021.03.008
   Kuivjogi H, 2024, J BUILD ENG, V98, DOI 10.1016/j.jobe.2024.111016
   Long LD, 2023, ALEX ENG J, V79, P480, DOI 10.1016/j.aej.2023.08.041
   Mukhopadhyay SC, 2021, IEEE SENS J, V21, P24920, DOI 10.1109/JSEN.2021.3055618
   Pan Y, 2023, ARCH COMPUT METHOD E, V30, P1081, DOI 10.1007/s11831-022-09830-8
   Rane N., 2023, SSRN Electron. J, DOI [10.2139/ssrn.4642197, DOI 10.2139/SSRN.4642197]
   Singh RK, 2024, J ENTERP INF MANAG, V37, P414, DOI 10.1108/JEIM-09-2022-0326
   Waqar A, 2024, EXPERT SYST APPL, V249, DOI 10.1016/j.eswa.2024.123503
   Yin XG, 2020, IEEE ELECTR DEVICE L, V41, P8, DOI 10.1109/LED.2019.2954537
   Zhao J, 2023, J BUILD ENG, V79, DOI 10.1016/j.jobe.2023.107855
NR 33
TC 5
Z9 5
U1 8
U2 8
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2352-7102
J9 J BUILD ENG
JI J. Build. Eng.
PD APR 1
PY 2025
VL 99
AR 111666
DI 10.1016/j.jobe.2024.111666
PG 17
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA U5R0V
UT WOS:001412352500001
DA 2025-04-22
ER

PT J
AU Ma, F
   Ao, YY
   Wang, XJ
   He, HN
   Liu, Q
   Yang, DT
   Gou, HY
AF Ma, Fei
   Ao, Yuyun
   Wang, Xiaojian
   He, Haonan
   Liu, Qing
   Yang, Danting
   Gou, Huiyan
TI Assessing and enhancing urban road network resilience under rainstorm
   waterlogging disasters
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Rainstorm waterlogging; Urban inundation model; Urban road network;
   System performance curve; Resilience assessment
ID GRAPH-THEORY; IMPACT; CITY; VULNERABILITY; TRANSPORT; FRAMEWORK;
   SHANGHAI; SYSTEMS; FLOOD; RISK
AB Extreme rainstorms pose significant challenges to urban road network operations. This paper aims to propose a comprehensive framework to assess the resilience of urban road networks against rainstorm waterlogging disasters. We employ a scenario simulation method to analyze the impact of rainstorm waterlogging disasters on the road network and establish a resilience assessment framework based on both structural and functional performance. Within this framework, five distinct strategies are implemented to enhance road network resilience. The framework is applied to a case study of the downtown area of Xi'an, China. The results highlight the substantial impact of rainstorm intensity on urban road network resilience and suggest that analyzing critical road segments from the perspectives of importance and connectivity can significantly improve road network resilience. Notably, the arrangement of critical roads is pivotal in enhancing road network resilience. This research provides a theoretical reference for road network assessment and disaster reduction decision-making.
C1 [Ma, Fei; Ao, Yuyun; Wang, Xiaojian; He, Haonan; Liu, Qing; Yang, Danting; Gou, Huiyan] Changan Univ, Sch Econ & Management, Xian 710064, Shaanxi, Peoples R China.
C3 Chang'an University
RP Ao, YY (corresponding author), Changan Univ, Sch Econ & Management, Xian 710064, Shaanxi, Peoples R China.
EM 2021123055@chd.edu.cn
RI Ma（马飞）, Fei/J-9714-2019; HE, HAONAN/GQZ-2330-2022; Liu,
   Qing/IQW-5423-2023
OI He, Haonan/0000-0002-1789-6259
CR Achillopoulou DV, 2020, SCI TOTAL ENVIRON, V746, DOI 10.1016/j.scitotenv.2020.141001
   Akbarzadeh M, 2019, TRANSPORTATION, V46, P1127, DOI 10.1007/s11116-017-9814-y
   Aydin NY, 2018, INT J DISAST RISK RE, V31, P832, DOI 10.1016/j.ijdrr.2018.07.022
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Dave R, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac2d67
   Donovan B, 2017, TRANSPORT RES C-EMER, V79, P333, DOI 10.1016/j.trc.2017.03.002
   Du L., 2011, SCI TECHNOLOGICAL IN, P389
   Dunn S, 2016, TRANSPORT RES E-LOG, V90, P39, DOI 10.1016/j.tre.2015.09.011
   Faturechi R, 2014, TRANSPORT RES B-METH, V70, P47, DOI 10.1016/j.trb.2014.08.007
   Gao JX, 2015, ENERGIES, V8, P12187, DOI 10.3390/en81012187
   Gao L, 2018, ATMOS RES, V205, P60, DOI 10.1016/j.atmosres.2018.02.006
   Gu Y, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.11.003
   Guo JN, 2021, COMPUT IND ENG, V161, DOI 10.1016/j.cie.2021.107678
   He YY, 2021, TRANSPORT RES D-TR E, V96, DOI 10.1016/j.trd.2021.102889
   Jing WW, 2020, RELIAB ENG SYST SAFE, V204, DOI 10.1016/j.ress.2020.107204
   Kong JJ, 2021, RELIAB ENG SYST SAFE, V210, DOI 10.1016/j.ress.2021.107538
   Li CQ, 2020, TRANSPORT RES D-TR E, V85, DOI 10.1016/j.trd.2020.102395
   Liao TY, 2018, NAT HAZARDS, V93, P469, DOI 10.1007/s11069-018-3310-3
   Mair M, 2017, WATER-SUI, V9, DOI 10.3390/w9020146
   Martín B, 2021, TRANSPORT RES D-TR E, V95, DOI 10.1016/j.trd.2021.102851
   Morelli AB, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2021.102770
   Nguyen DN, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101222
   Pan X, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108483
   Pant R, 2018, J FLOOD RISK MANAG, V11, P22, DOI 10.1111/jfr3.12288
   Papilloud T, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101548
   Duy PN, 2019, TRAVEL BEHAV SOC, V15, P28, DOI 10.1016/j.tbs.2018.11.001
   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
   Pregnolato M, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160023
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Sharma SK, 2018, BENCHMARKING, V25, P2531, DOI 10.1108/BIJ-07-2017-0188
   Shrestha A, 2022, J HYDROL, V607, DOI 10.1016/j.jhydrol.2022.127498
   Singh P, 2018, INT J DISAST RISK RE, V28, P237, DOI 10.1016/j.ijdrr.2018.03.017
   Sun XJ, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102563
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tang JQ, 2020, TRANSPORT RES C-EMER, V121, DOI 10.1016/j.trc.2020.102840
   Tao W, 2024, J INTELL TRANSPORT S, V28, P494, DOI 10.1080/15472450.2022.2141119
   Vamvakeridou-Lyroudia LS, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.136078
   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
   Wang HW, 2020, TRANSPORT RES C-EMER, V115, DOI 10.1016/j.trc.2020.102619
   Wang JC, 2018, CHINESE GEOGR SCI, V28, P1048, DOI 10.1007/s11769-018-0982-2
   Wang MS, 2020, COMPUT ENVIRON URBAN, V80, DOI 10.1016/j.compenvurbsys.2019.101430
   Wang NX, 2023, RELIAB ENG SYST SAFE, V238, DOI 10.1016/j.ress.2023.109478
   Watson G, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app122312331
   Xu XD, 2021, TRANSPORT RES E-LOG, V154, DOI 10.1016/j.tre.2021.102448
   Yang YF, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101886
   Yin J, 2016, J HYDROL, V537, P138, DOI 10.1016/j.jhydrol.2016.03.037
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   Zhang ML, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127105
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 53
TC 24
Z9 25
U1 82
U2 291
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 OCT
PY 2023
VL 123
AR 103928
DI 10.1016/j.trd.2023.103928
EA OCT 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 X2IF9
UT WOS:001096736800001
DA 2025-04-22
ER

PT J
AU Khodadad, M
   Sanei, M
   Aguilar-Barajas, I
   Cárdenas-Barrón, LE
   Ramírez-Orozco, AI
   Rizzo, A
   Khan, AZ
AF Khodadad, Mina
   Sanei, Mohsen
   Aguilar-Barajas, Ismael
   Cardenas-Barron, Leopoldo Eduardo
   Ramirez-Orozco, Aldo Ivan
   Rizzo, Agatino
   Khan, Ahmed Z.
TI Green infrastructure site prioritization to improve urban flood
   resilience in Monterrey and Brussels using a decision support model
SO SCIENTIFIC REPORTS
LA English
DT Article
DE Green infrastructure; Nature-based solutions; Best management practices;
   Urban flood resilience index; Decision support tool; Land suitability
   analysis
ID ANALYTIC HIERARCHY PROCESS; STORMWATER INFRASTRUCTURE; RISK; MANAGEMENT;
   HAZARDS; SYSTEMS; IMPACT
AB Green infrastructure (GI) has been increasingly associated with urban flood resilience as it provides benefits in protecting communities from flood dangers and improving socio-economic capabilities. In order to optimize the GI advantages, it is necessary to engage in strategic prioritizing of implementation areas, considering local conditions. Despite a growing interest in connecting GI and flood resilience, there is still a lack of strategic-oriented GI planning models aimed at enhancing urban flood resilience. This study has introduced the Flood Resilience-based Urban Green Infrastructure Site Priority (FRUGISP) model, which employs a GIS-based multi-criteria assessment to determine the urban regions that should be prioritized for the implementation of GI systems, based on their flood resilience levels. The model was used to map the priority areas in Monterrey, Mexico, and Brussels, Belgium. Despite their distinct features, both cities face flood challenges. The results showed regions of utmost importance based on the flood resilience index and land availability for GI implementation. The model has the potential to be applied to other urban areas grappling with flood issues, providing guidance to decision-makers in selecting high-priority locations for GI projects. This approach can effectively address the difficulties posed by urban floods, ensuring the resilience of urban areas.
C1 [Khodadad, Mina; Sanei, Mohsen; Rizzo, Agatino] Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn SBN, Lulea, Sweden.
   [Khodadad, Mina; Khan, Ahmed Z.] Univ Libre Bruxelles, Bldg Architecture & Town Planning BATir Dept, Brussels, Belgium.
   [Khodadad, Mina; Cardenas-Barron, Leopoldo Eduardo; Ramirez-Orozco, Aldo Ivan] Tecnol Monterrey, Sch Engn & Sci, Monterrey, Mexico.
   [Aguilar-Barajas, Ismael] Tecnol Monterrey, Sch Social Sci & Govt, Monterrey, Mexico.
C3 Lulea University of Technology; Universite Libre de Bruxelles;
   Tecnologico de Monterrey; Tecnologico de Monterrey
RP Khodadad, M; Sanei, M (corresponding author), Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn SBN, Lulea, Sweden.; Khodadad, M (corresponding author), Univ Libre Bruxelles, Bldg Architecture & Town Planning BATir Dept, Brussels, Belgium.; Khodadad, M (corresponding author), Tecnol Monterrey, Sch Engn & Sci, Monterrey, Mexico.
EM Mina.khodadad@associated.ltu.se; Mohsen.sanei@associated.ltu.se
RI Sanei, Mohsen/HMV-3173-2023; Cárdenas-Barrón, Leopoldo
   Eduardo/C-1040-2008
FU Lulea University of Technology
FX Open access funding provided by Lulea University of Technology.
CR Aguilar-Barajas I, 2019, ENVIRON SCI POLICY, V99, P37, DOI 10.1016/j.envsci.2019.05.021
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ali SA, 2019, MODEL EARTH SYST ENV, V5, P1083, DOI 10.1007/s40808-019-00593-z
   Alves A, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134980
   Alves A, 2018, WATER RESOUR MANAG, V32, P2505, DOI 10.1007/s11269-018-1943-3
   Ambiental Risk Analytics, 2021, Mitigating the impact of flooding in Belgium using data
   [Anonymous], The Appalachian region
   [Anonymous], 2021, Panorama sociodemografico de Oaxaca: Censo de poblacion y vivienda 2020
   [Anonymous], 2016, ArcMAP
   [Anonymous], 2022, CLIMATE CHANGE 2022, P2022, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Apud A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229683
   Barah M, 2021, OMEGA-INT J MANAGE S, V100, DOI 10.1016/j.omega.2020.102196
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bogdanski M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094861
   Brussels Environment, 2016, Le Plan Nature
   Brussels Environment, 2024, Sorties et actions
   Carpio A, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100947
   Chemetoff Alexandre, 2014, The Canal Plan on Trial: Constructing an urban alternative
   Chen P, 2014, INT J ENV RES PUB HE, V11, P9964, DOI 10.3390/ijerph111009964
   Chen V, 2021, AMBIO, V50, P1462, DOI 10.1007/s13280-020-01493-8
   Christman Z, 2018, LAND-BASEL, V7, DOI 10.3390/land7040145
   Climate-Data, 2023, Climate: Brussels-Capital
   Climate-Data, 2022, Monterrey Climate (Mexico)
   Collins MG, 2001, ENVIRON MANAGE, V28, P611, DOI 10.1007/s002670010247
   CostHelper, 2024, Rain garden cost
   Dagenais D, 2017, LANDSCAPE RES, V42, P195, DOI 10.1080/01426397.2016.1228861
   Dash P, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12620
   De Bondt K., 2008, Cartographie du potentiel d'infiltration-percolation en Region Bruxelloise
   de Brito MM, 2016, NAT HAZARD EARTH SYS, V16, P1019, DOI 10.5194/nhess-16-1019-2016
   Di Marino M, 2023, URBAN FOR URBAN GREE, V87, DOI 10.1016/j.ufug.2023.128065
   Duan CY, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14133101
   Dwirahmadi F, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16203993
   ESRI, 2025, Data classification methods
   Feng DY, 2023, SCI TOTAL ENVIRON, V904, DOI 10.1016/j.scitotenv.2023.166891
   Fluhrer T, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010384
   Fondo Ambiental Metropolitano de Monterrey (FAMM), Una decada de acciones por Nuevo Leon
   Fondo Ambiental Metropolitano de Monterrey (FAMM), 2018, Plan Hidrico de Nuevo Leon 2050
   Fu X, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125146
   Gaisie E, 2022, J ENVIRON PLANN MAN, V65, P1390, DOI 10.1080/09640568.2021.1930522
   Gobierno del Municipio de Monterrey, Secretaria de Infraestructura Sostenible
   Gobierno del Municipio de Monterrey, Secretaria de Desarrollo Urbano Sostenible
   Grabowski ZJ, 2022, FRONT ECOL ENVIRON, V20, P152, DOI 10.1002/fee.2445
   Greco S., 2016, ISORMS, V233, DOI [DOI 10.1007/978-1-4939-3094-4, https://doi.org/10.1007/978-1-4939-3094-4]
   Hamidi AR, 2020, NAT HAZARDS, V101, P385, DOI 10.1007/s11069-020-03878-0
   Hoover FA, 2021, J ENVIRON POL PLAN, V23, P665, DOI 10.1080/1523908X.2021.1945916
   Hoque MA, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19061302
   Hummel JM, 2014, PATIENT, V7, P129, DOI 10.1007/s40271-014-0050-7
   IMPLANc, 2014, Plan de Desarrollo Urbano del Municipio de Monterrey 2013-2025
   IRM, 2023, Statistiques climatiques des communes belges
   Jayasooriya VM, 2018, WATER RESOUR MANAG, V32, P4297, DOI 10.1007/s11269-018-2052-z
   Jiang WY, 2022, INT J DISAST RISK SC, V13, P862, DOI 10.1007/s13753-022-00450-1
   Junqueira JR, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104051
   Katsou E, 2020, BLUE-GREEN SYST, V2, P188, DOI 10.2166/bgs.2020.929
   Keeney RL., 1993, Decisions with Multiple Objectives: Preferences and Value Trade-Offs, DOI DOI 10.1017/CBO9781139174084
   Khodadad M., 2023, Green Infrastructure for Water Security-Based Urban Planning: A Comparative Analysis of Systemic Urban Plans and Spatial Flood-based GI Priority Layouts in Monterrey and Brussels
   Khodadad M., 2016, P 4 INT C CIV ENG AR
   Khodadad M, 2024, WATER-SUI, V16, DOI 10.3390/w16050727
   Khodadad M, 2023, WATER-SUI, V15, DOI 10.3390/w15030523
   Khodadad M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14105817
   Kim H, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8020134
   Kiv-Vainik M., 2022, Nature-Based Solut, V2, P100038, DOI [DOI 10.1016/J.NBSJ.2022.100038, 10.1016/j.nbsj.2022, DOI 10.1016/J.NBSJ.2022]
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kuller M, 2019, SCI TOTAL ENVIRON, V686, P856, DOI 10.1016/j.scitotenv.2019.06.051
   Kuller M, 2018, ENVIRON SCI POLICY, V89, P153, DOI 10.1016/j.envsci.2018.06.011
   Lara-Valencia F, 2022, FRONT WATER, V4, DOI 10.3389/frwa.2022.782922
   Lee H, 2021, LANDSC ECOL ENG, V17, P427, DOI 10.1007/s11355-021-00458-7
   Lennon M, 2014, TOWN PLAN REV, V85, P563, DOI 10.3828/tpr.2014.35
   Li LY, 2020, LANDSCAPE URBAN PLAN, V194, DOI 10.1016/j.landurbplan.2019.103703
   Lin L, 2019, NAT HAZARDS, V97, P455, DOI 10.1007/s11069-019-03615-2
   Liu W, 2015, ECOL MODEL, V318, P236, DOI 10.1016/j.ecolmodel.2014.11.007
   Liu WQ, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12060759
   Madureira H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910643
   Malczewski J, 2006, INT J GEOGR INF SCI, V20, P703, DOI 10.1080/13658810600661508
   McFarland AR, 2019, ENVIRON SCI-WAT RES, V5, P643, DOI [10.1039/c8ew00498f, 10.1039/C8EW00498F]
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Mendoza-Cano O, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16122128
   Mishra K, 2020, GEOMORPHOLOGY, V350, DOI 10.1016/j.geomorph.2019.106861
   Mobarak B, 2022, FORESTS, V13, DOI 10.3390/f13122013
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Norman LM, 2020, AIR SOIL WATER RES, V13, DOI 10.1177/1178622120946337
   Omitaomu OA, 2021, J ENVIRON MANAGE, V279, DOI 10.1016/j.jenvman.2020.111718
   Omran EE, 2017, J COAST CONSERV, V21, P849, DOI 10.1007/s11852-017-0546-0
   Ozment S., 2021, Nature-based solutions in Latin America and the Caribbean: regional status and priorities for growth
   Perspective.brussels, 2018, Plan Regional de Developpement Durable (PRDD 2018)
   Pyzdek T., 2014, AHP Spreadsheet
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Rahnemai-Azar AA, 2018, J CLIN TRANSL HEPATO, V6, P97, DOI 10.14218/JCTH.2017.00060
   Revitt DM, 2017, URBAN WATER J, V14, P839, DOI 10.1080/1573062X.2017.1279187
   Rezaei H, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15118777
   Ruangpan L, 2020, NAT HAZARD EARTH SYS, V20, P243, DOI 10.5194/nhess-20-243-2020
   Saaty T.L., 1988, What Is the Analytic Hierarchy Process
   Saaty TL, 2017, BUILDINGS, V7, DOI 10.3390/buildings7030076
   Sanei M., 2024, Int. J. Sustain. Dev. Plann, V19, P2115, DOI [10.18280/ijsdp.190611, DOI 10.18280/IJSDP.190611]
   Sanei M., 2022, Urbanism. Arhitectura. Constructii, V13, P151
   Sanei M., 2023, Advances in Environmental Sustainability, P89, DOI [10.1007/978-3-031-26365-18, DOI 10.1007/978-3-031-26365-18]
   Sanei Mohsen, 2022, Figshare, DOI 10.6084/m9.figshare.20477112.v2
   Sanei M, 2022, PROSTOR, V30, P107, DOI 10.31522/p.30.1(63).10
   Servicio Meteorologico Nacional (SMN), 1951, Normales climatologicas
   Shuaibu A, 2022, WATER-SUI, V14, DOI 10.3390/w14223709
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Thapa RB, 2008, LAND USE POLICY, V25, P225, DOI 10.1016/j.landusepol.2007.06.004
   Tudunwada IY, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103156
   Uribe CHA, 2022, URBAN FOR URBAN GREE, V69, DOI 10.1016/j.ufug.2022.127499
   Van Oijstaeijen W, 2020, J ENVIRON MANAGE, V267, DOI 10.1016/j.jenvman.2020.110603
   Vicarelli M, 2024, SCI TOTAL ENVIRON, V947, DOI 10.1016/j.scitotenv.2024.174524
   Wu JR, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102968
   Xu WP, 2023, WATER-SUI, V15, DOI 10.3390/w15101887
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   Xu XF, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124710
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhang Z, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071872
   Zuniga-Teran AA, 2020, CURR OPIN ENV SUST, V44, P42, DOI 10.1016/j.cosust.2020.05.001
NR 113
TC 0
Z9 0
U1 1
U2 1
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD MAR 28
PY 2025
VL 15
IS 1
AR 10744
DI 10.1038/s41598-025-94851-z
PG 18
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 0XP4G
UT WOS:001458433100029
PM 40155712
DA 2025-04-22
ER

PT J
AU Li, CR
   Han, H
   Cui, NB
   Lan, P
   Zhang, KZ
   Zhou, XC
   Guo, L
AF Li, Changru
   Han, Han
   Cui, Ningbo
   Lan, Ping
   Zhang, Kaize
   Zhou, Xiaochuan
   Guo, Li
TI Spatiotemporal dynamics and spatial correlation patterns of urban
   ecological resilience across the Yellow River Basin in China
SO SCIENTIFIC REPORTS
LA English
DT Article
DE Machine learning; Moran index; Spatial autocorrelation analysis; Urban
   ecological resilience; Yellow River Basin
AB Addressing the need to harmonize environment conservation and sustainable economic development within the Yellow River Basin (YRB) requires a profound comprehension of the spatiotemporal dynamics of urban ecosystem resilience. This study developed an index system utilizing the resistance-adaptability-recovery framework to measure these dynamics. By applying the advanced multi-attribute boundary area comparison method and a spatial autocorrelation model, we investigated the spatiotemporal variations and spatial correlation patterns of urban ecological resilience across the YRB. The results of this study indicated that: (1) from 2011 to 2020, the value of urban ecological resilience index (UERI) in the YRB consistently ranged between 0.43 and 0.83, and the resilience degree of the urban ecosystem in the YRB progressively improved, with notably higher resilience in the southeast compared to the northwest; (2) the resilience degree of the urban ecosystem in the YRB was non-equilibrium in space. Spatial analysis indicates significant disparities in resilience levels across different areas within the YRB, marked by considerable fluctuations in the global Moran's I index and significant changes in local autocorrelation clustering patterns; and (3) key factors such as wastewater discharge volume, sewage treatment rate, and the rate of non-hazardous treatment of domestic waste were identified as critical determinants of the overall ecological resilience. This research not only deepens our understanding of the factors driving urban ecological resilience but also aids in the formulation of strategic regional policy for sustainable development across the YRB.
C1 [Li, Changru] Hohai Univ, Sch Publ Adm, Nanjing 211100, Peoples R China.
   [Han, Han; Zhou, Xiaochuan] North China Univ Water Resources & Elect Power, Sch Management & Econ, Zhengzhou 450045, Peoples R China.
   [Cui, Ningbo; Lan, Ping; Guo, Li] Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.
   [Zhang, Kaize] Hohai Univ, Sch Econ & Finance, Nanjing 211100, Peoples R China.
C3 Hohai University; North China University of Water Resources & Electric
   Power; Sichuan University; Hohai University
RP Guo, L (corresponding author), Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.
EM liguo01@scu.edu.cn
RI Guo, Li/B-7820-2016
OI Guo, Li/0000-0003-3821-4058
FU National Natural Science Foundation of China [42301357]; National
   Natural Science Foundation of China [2022YFQ0066, 2023NSFSC1989];
   Sichuan Science and Technology Program [2025-ZZJH-052]; General Project
   of Humanities and Social Science Research of Universities in Henan
   Province
FX This study was supported by the National Natural Science Foundation of
   China (No. 42301357), Sichuan Science and Technology Program
   (2022YFQ0066, 2023NSFSC1989), General Project of Humanities and Social
   Science Research of Universities in Henan Province (No. 2025-ZZJH-052),
   2024 Philosophy and Social Sciences Planning Project in Henan Province
   "Research on the Measurement of Green Efficiency and Optimization of
   Adaptive Patterns in the Water-Energy-Food-Ecology System in Henan
   Province".
CR An Y, 2021, LANDSCAPE ECOL, V36, P2059, DOI 10.1007/s10980-020-01027-3
   [Anonymous], 2020, The Director of the National Bureau of Statistics answered questions on the performance of the national economy in 2018
   Arroyo-Rodriguez V, 2020, ECOL LETT, V23, P1404, DOI 10.1111/ele.13535
   Brrings D., 1996, Linkage methods for environment and health analysis: general guidelines
   Chen Ning, 2016, Control Theory & Applications, V33, P1273, DOI 10.7641/CTA.2016.50799
   Chen WX, 2022, J ENVIRON MANAGE, V318, DOI 10.1016/j.jenvman.2022.115565
   Chen Yu, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20043496
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   Cheng Y., 2022, System Engineering., V6, P1
   Christoforou A, 2017, NEUROCOMPUTING, V232, P133, DOI 10.1016/j.neucom.2016.09.115
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   Deveci M, 2021, ENG APPL ARTIF INTEL, V103, DOI 10.1016/j.engappai.2021.104311
   Duan N, 2020, J CLEAN PROD, V254, DOI 10.1016/j.jclepro.2020.120134
   Fang CL, 2017, LANDSCAPE URBAN PLAN, V162, P126, DOI 10.1016/j.landurbplan.2017.02.014
   Han H, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110833
   Hanna DEL, 2020, CONSERV BIOL, V34, P244, DOI 10.1111/cobi.13348
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huang J, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110763
   Kang JM, 2021, GLOB ECOL CONSERV, V26, DOI 10.1016/j.gecco.2021.e01472
   Kennedy CA, 2014, NAT CLIM CHANGE, V4, P343, DOI 10.1038/NCLIMATE2160
   Lv TG., 2023, Areal. Res. Dev, V1, P54
   Lv T, 2022, ENVIRON SCI POLLUT R, V29, P33920, DOI 10.1007/s11356-021-17872-x
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Ministry of Ecology and Environment of the People's Republic of China, 2020, China Eco-environment Bulletin
   Ministry of Water Resources, 2021, China Water Resources Bulletin 2020
   Mohamad IB., 2013, RES J APPL SCI ENG T, V6, P3299, DOI 10.19026/rjaset.6.3638
   Motesharrei S, 2016, NATL SCI REV, V3, P470, DOI 10.1093/nsr/nww081
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   Nembrini S, 2018, BIOINFORMATICS, V34, P3711, DOI 10.1093/bioinformatics/bty373
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharkasi N, 2022, KNOWL-BASED SYST, V255, DOI 10.1016/j.knosys.2022.109768
   Sun BD, 2019, OCEAN COAST MANAGE, V168, P41, DOI 10.1016/j.ocecoaman.2018.10.026
   [孙才志 Sun Caizhi], 2014, [生态学报, Acta Ecologica Sinica], V34, P247
   Urban Bureau of Statistics of China, 2020, China Urban Statistical Yearbook
   Wang P, 2019, INFORMATICA-LITHUAN, V30, P799, DOI 10.15388/Informatica.2019.230
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wei YG, 2019, J CLEAN PROD, V212, P698, DOI 10.1016/j.jclepro.2018.11.155
   Wu JH, 2022, OCEAN COAST MANAGE, V217, DOI 10.1016/j.ocecoaman.2021.106016
   Zhang KZ, 2023, ECOL INDIC, V151, DOI 10.1016/j.ecolind.2023.110283
   Zhang L., 2017, China Apopul. Resourc. Env., V27, P151
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
   Ziegler A, 2014, WIRES DATA MIN KNOWL, V4, P55, DOI 10.1002/widm.1114
NR 46
TC 0
Z9 0
U1 32
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 DEC 28
PY 2024
VL 14
IS 1
AR 31286
DI 10.1038/s41598-024-82675-2
PG 17
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA Q6Q4W
UT WOS:001385898500001
PM 39732787
OA gold
DA 2025-04-22
ER

PT J
AU Jiang, J
   Zhang, XQ
   Huang, CH
AF Jiang, Jing
   Zhang, Xiaoqing
   Huang, Caihong
TI Influence of Population Agglomeration on Urban Economic Resilience in
   China
SO SUSTAINABILITY
LA English
DT Article
DE population agglomeration; urban economic resilience; impact; spatial
   evolution
ID REGIONAL RESILIENCE; MIGRATION; PRODUCTIVITY; DIVERSITY; CITIES
AB Under the background of complex domestic and international environment and the trend of urban population agglomeration, the impact of population agglomeration on urban economic resilience is worthy of attention. This paper uses a sample of 284 cities in China to empirically analyze the impact of population agglomeration on urban economic resilience in the context of the 2008 international financial crisis with the help of spatial econometric models. The results are as follows. First, population agglomeration can enhance the city's resistance to the economic crisis, is more conducive to improving the city's economic recovery and adjustment ability, and has a positive spatial spillover effect on surrounding cities. Moreover, population agglomeration enhances the economic resilience of urban secondary and tertiary industries. Secondly, in the population agglomeration context, the situation of the labor force structure affects the resilience of the urban economy. In terms of the labor force's age structure, the agglomeration of prime-age labor is more conducive to improving urban economic resilience than youth and old labor. In terms of labor quality structure, homogeneous human capital agglomeration enhances cities' resistance to economic crisis, while heterogeneous human capital agglomeration enhances cities' ability to recover and adjust their economy.
C1 [Jiang, Jing; Zhang, Xiaoqing; Huang, Caihong] Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China.
   [Zhang, Xiaoqing] Shandong Normal Univ, Collaborat Innovat Ctr Human Nat & Green Dev Univ, Jinan 250358, Peoples R China.
C3 Shandong Normal University; Shandong Normal University
RP Zhang, XQ (corresponding author), Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China.; Zhang, XQ (corresponding author), Shandong Normal Univ, Collaborat Innovat Ctr Human Nat & Green Dev Univ, Jinan 250358, Peoples R China.
EM zxq1606@163.com
FU Chinese National Funding of Social Sciences [15BRK012]
FX This study was funded by the Chinese National Funding of Social Sciences
   (15BRK012).
CR BECKER GS, 1962, J POLIT ECON, V70, P9, DOI 10.1086/258724
   Bodvarsson O.B., 2015, HDB EC INT MIGRATION, V1, P3
   Börsch-Supan A, 2016, J ECON AGEING, V7, P30, DOI 10.1016/j.jeoa.2015.12.001
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Capello R, 2015, J ECON GEOGR, V15, P951, DOI 10.1093/jeg/lbu053
   Caroli E, 2001, Q J ECON, V116, P1449, DOI 10.1162/003355301753265624
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Ciccone A, 2009, REV ECON STAT, V91, P66, DOI 10.1162/rest.91.1.66
   Davies S, 2011, CAMB J REG ECON SOC, V4, P369, DOI 10.1093/cjres/rsr019
   Diodato D, 2015, J ECON GEOGR, V15, P723, DOI 10.1093/jeg/lbu030
   Duranton G, 2000, URBAN STUD, V37, P533, DOI 10.1080/0042098002104
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Fan CC, 2005, PROF GEOGR, V57, P295, DOI 10.1111/j.0033-0124.2005.00479.x
   Giannakis E, 2020, REG STUD, V54, P1200, DOI 10.1080/00343404.2019.1698720
   Göbel C, 2013, LABOUR ECON, V22, P80, DOI 10.1016/j.labeco.2012.11.005
   Heberle R, 1938, AM J SOCIOL, V43, P932, DOI 10.1086/217875
   Huang X, 2021, URBAN STUD, V58, P1885, DOI 10.1177/0042098020925407
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   LEE ES, 1966, DEMOGRAPHY, V3, P47, DOI 10.2307/2060063
   Lewis W. A., 1954, Manchester School, V22, P139, DOI DOI 10.1111/J.1467-9957.1954.TB00021.X
   [刘睿文 Liu Ruiwen], 2010, [地理科学进展, Progress in Geography], V29, P1171
   Luo Y., 2013, CHINA IND EC, V2, P31
   MABOGUNJE AL, 1970, GEOGR ANAL, V2, P1, DOI 10.1111/j.1538-4632.1970.tb00140.x
   Marais M.A, 1993, CONSUMPTION BENEFITS
   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
   Michael R., 1975, ED INCOME HUMAN BEHA
   Niebuhr A, 2010, PAP REG SCI, V89, P563, DOI 10.1111/j.1435-5957.2009.00271.x
   Sánchez-Zamora P, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061743
   Storper M, 2009, J ECON GEOGR, V9, P147, DOI 10.1093/jeg/lbn052
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Wang WL, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910677
   Yu HC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124754
   Zaiceva A, 2016, HBK ECON, P119, DOI 10.1016/bs.hespa.2016.08.002
   Zhang MD, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0260214
NR 36
TC 16
Z9 16
U1 35
U2 219
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 16
AR 10407
DI 10.3390/su141610407
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 4A7YE
UT WOS:000845310900001
OA gold
DA 2025-04-22
ER

PT J
AU Zeng, X
   Yu, YC
   Yang, S
   Lv, Y
   Sarker, MNI
AF Zeng, Xun
   Yu, Yuanchun
   Yang, San
   Lv, Yang
   Sarker, Md Nazirul Islam
TI Urban Resilience for Urban Sustainability: Concepts, Dimensions, and
   Perspectives
SO SUSTAINABILITY
LA English
DT Article
DE vulnerability; urban planning; sustainability; urban management;
   disaster management; resilience
ID CLIMATE-CHANGE; CITIES; VULNERABILITY; INDICATORS; CITY; ADAPTATION;
   FRAMEWORK; FUTURE; INDEX; ROTTERDAM
AB Urbanization is a continuous process for a city's economic development. Though rapid urbanization provides a huge employment opportunity for people, urban threats also increase proportionately due to natural and man-made hazards. Understanding urban resilience and sustainability is an urgent matter to face hazards in the rapidly urbanized world. Therefore, this study aims to clarify the concept and develop key indications of urban resilience and sustainability from the existing literature. A systematic literature review guided by PRISMA has been conducted using literature from 1 January 2001 to 30 November 2021. It argues that sustainability and resilience are interrelated paradigms that emphasize a system's capacity to move toward desirable development paths. Resilience and sustainability are fundamentally concerned with preserving societal health and well-being within the context of a broader framework of environmental change. There are significant differences in their emphasis and time scales, particularly in the context of urbanization. This study has identified key indicators of urban resilience under three major components like adaptive capacity (education, health, food, and water), absorptive capacity (community support, urban green space, protective infrastructure, access to transport), and transformative capacity (communication technology, collaboration of multi-stakeholders, emergency services of government, community-oriented urban planning). This study also identified several indicators under major dimensions (social, economic, and environmental) of urban sustainability. The findings will be fruitful in understanding the dynamics of urban vulnerability and resilience and its measurement and management strategy from developed indicators.
C1 [Zeng, Xun; Yu, Yuanchun] Sichuan Univ Sci & Engn, Sch Management, Zigong 643000, Peoples R China.
   [Yang, San] Univ Elect Sci & Technol China UESTC, Sch Publ Affairs & Adm, Chengdu 611731, Peoples R China.
   [Lv, Yang] Chengdu Univ, Coll Teachers, Chengdu 610106, Peoples R China.
   [Sarker, Md Nazirul Islam] Neijiang Normal Univ, Sch Polit Sci & Publ Adm, Neijiang 641112, Peoples R China.
C3 Sichuan University of Science & Engineering; University of Electronic
   Science & Technology of China; Chengdu University; Neijiang Normal
   University
RP Yu, YC (corresponding author), Sichuan Univ Sci & Engn, Sch Management, Zigong 643000, Peoples R China.; Sarker, MNI (corresponding author), Neijiang Normal Univ, Sch Polit Sci & Publ Adm, Neijiang 641112, Peoples R China.
EM zengxun@suse.edu.cn; yuanchun1981@suse.edu.cn; kangjian@uestc.edu.cn;
   lvyang@cdu.edu.cn; sarker.scu@yahoo.com
RI Sarker, Md Nazirul Islam/K-7928-2018; Yu, Yuanchun/M-1088-2019
OI Sarker, Md Nazirul Islam/0000-0002-8887-521X; Lv,
   Yang/0000-0001-6153-715X
CR Acuti D, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102608
   ADB, 2014, Urban Climate change Resilience: A Synopsis
   Adinyira E., 2007, P INT C WHOL LIF URB, 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
   Alberti M., 2008, Urban Ecology, P143, DOI DOI 10.1007/978-0-387-73412-5_9
   Allen B, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2019.101412
   Andronie M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020751
   Anejionu OCD, 2019, FUTURE GENER COMP SY, V98, P456, DOI 10.1016/j.future.2019.03.052
   Angheloiu C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102808
   Ates M, 2023, INT J DISASTER RESIL, V14, P266, DOI 10.1108/IJDRBE-07-2021-0064
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Bahadur AV, 2015, INT J URBAN SUSTAIN, V7, P196, DOI 10.1080/19463138.2015.1060595
   Ben Sta H, 2017, FUTURE GENER COMP SY, V74, P409, DOI 10.1016/j.future.2016.12.021
   Del Pozo PB, 2020, GEOGR REV, V110, P322, DOI 10.1080/00167428.2019.1684195
   Bibri SE, 2021, SUSTAIN FUTURES, V3, DOI 10.1016/j.sftr.2021.100047
   Bibri SE, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104703
   Bibri SE, 2018, SUSTAIN CITIES SOC, V38, P230, DOI 10.1016/j.scs.2017.12.034
   Bibri SimonE., 2020, Advances in the Leading Paradigms of Urbanism and Their Amalgamation, DOI DOI 10.1007/978-3-030-41746-89
   Billger M, 2017, ENVIRON PLAN B-URBAN, V44, P1012, DOI 10.1177/0265813516657341
   Bixler RP, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102726
   Borie M, 2019, GLOBAL ENVIRON CHANG, V54, P203, DOI 10.1016/j.gloenvcha.2019.01.001
   Brand FS, 2007, ECOL SOC, V12
   Bristow DN, 2020, J IND ECOL, V24, P300, DOI 10.1111/jiec.12919
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bruzzone M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147824
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   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
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chelleri L, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102985
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Ciumasu I.M., 2018, P INT ISCRAM C ROCH, P419
   Cloete CE., 2012, Risk Analysis VIII, V167, P341
   Coaffee J, 2013, PLAN PRACT RES, V28, P323, DOI 10.1080/02697459.2013.787693
   Cobbinah PB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104948
   Colding J, 2017, J CLEAN PROD, V164, P95, DOI 10.1016/j.jclepro.2017.06.191
   Collier MJ, 2013, CITIES, V32, pS21, DOI 10.1016/j.cities.2013.03.010
   Cui JQ, 2016, TUNN UNDERGR SP TECH, V55, P194, DOI 10.1016/j.tust.2015.11.004
   Cutini V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114706
   da Silva CA, 2020, REGE-REV GEST, V27, P61, DOI 10.1108/REGE-12-2018-0117
   Davidson K, 2019, CITIES, V92, P1, DOI 10.1016/j.cities.2019.03.012
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Eastaway M., 2004, Journal of Housing and the Built Environment, V19, P1
   Elmqvist T., 2014, URBAN RESILIENCE SUS
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fabbricatti K., 2020, City, Territory and Architecture, V7, P1, DOI DOI 10.1186/S40410-020-00126-7
   Fang CL, 2016, J GEOGR SCI, V26, P153, DOI 10.1007/s11442-016-1260-9
   Feroz AK, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031530
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Grafakos S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050461
   Haapio A, 2012, ENVIRON IMPACT ASSES, V32, P165, DOI 10.1016/j.eiar.2011.08.002
   Han SY, 2021, LAND-BASEL, V10, DOI 10.3390/land10101099
   Heinzlef C., 2020, Water Security, V11, P100075, DOI [10.1016/j.wasec.2020.100075, DOI 10.1016/J.WASEC.2020.100075]
   Henstra D, 2012, J COMP POLICY ANAL, V14, P175, DOI 10.1080/13876988.2012.665215
   HN-Habitat, 2017, TRENDS URB RES 2017
   Ho HC, 2019, WATER-SUI, V11, DOI 10.3390/w11102010
   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
   Huang B, 2020, GEO-SPAT INF SCI, V23, P125, DOI 10.1080/10095020.2020.1754138
   Huq ME., 2021, CLIMATE VULNERABILIT, P425, DOI [10.1007/978-3-030-77259-8_22, DOI 10.1007/978-3-030-77259-8_22]
   Ilieva RT, 2018, NAT SUSTAIN, V1, P553, DOI 10.1038/s41893-018-0153-6
   Karabakan B, 2021, CHIN J URBAN ENV STU, V09, DOI 10.1142/S2345748121500147
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Kong LQ, 2020, J CLEAN PROD, V273, DOI 10.1016/j.jclepro.2020.123142
   Krellenberg K, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11041116
   Kumar A., 2020, Techniques for disaster risk management and mitigation, P33, DOI [10.1002/9781119359203.CH3, 10.1002/9781119359203.ch3, DOI 10.1002/9781119359203.CH3]
   Lamond JE, 2009, PROC INST CIV ENG-U, V162, P63, DOI 10.1680/udap.2009.162.2.63
   Lankao PR, 2011, CURR OPIN ENV SUST, V3, P142, DOI 10.1016/j.cosust.2010.12.016
   Lee YJ, 2007, ENVIRON IMPACT ASSES, V27, P505, DOI 10.1016/j.eiar.2006.12.005
   Lehmann S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052932
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Liang JY, 2020, COMPUT ENVIRON URBAN, V84, DOI 10.1016/j.compenvurbsys.2020.101542
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   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]
   Liu HY, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910950
   Liu SC, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102206
   LopezDeAsiain M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187305
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Magee L., 2013, URBAN SUSTAINABILITY
   Malone E.L., 2009, VULNERABILITY RESILI
   Marin J, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102541
   Maurya SP, 2020, ECOL INDIC, V108, DOI 10.1016/j.ecolind.2019.105691
   McGill R, 2020, J URBAN MANAG, V9, P372, DOI 10.1016/j.jum.2020.04.004
   McGrail S, 2015, SUSTAINABILITY-BASEL, V7, P8649, DOI 10.3390/su7078649
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   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
   Meyer N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195514
   Miller TR, 2013, SUSTAIN SCI, V8, P279, DOI 10.1007/s11625-012-0180-6
   Moench M, 2014, DEV PRACT, V24, P447, DOI 10.1080/09614524.2014.909385
   Molavi M, 2018, TEMA, V11, P195, DOI 10.6092/1970-9870/5485
   Moldan B, 2012, ECOL INDIC, V17, P4, DOI 10.1016/j.ecolind.2011.04.033
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   Mori K, 2012, ENVIRON IMPACT ASSES, V32, P94, DOI 10.1016/j.eiar.2011.06.001
   Müller A, 2011, NAT HAZARD EARTH SYS, V11, P2107, DOI 10.5194/nhess-11-2107-2011
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Nagenborg M, 2019, SUSTAIN RESIL INFRAS, V4, P103, DOI 10.1080/23789689.2019.1607658
   Page MJ, 2021, BMJ-BRIT MED J, V372, DOI [10.1016/j.ijsu.2021.105906, 10.1136/bmj.n71, 10.1136/bmj.n160]
   Pan YH, 2016, ENGINEERING, V2, P171, DOI 10.1016/J.ENG.2016.02.003
   Panampitiya G., 2021, REV CONCEPT URBAN FR
   Peyroux E, 2015, EUR J DEV RES, V27, P560, DOI 10.1057/ejdr.2015.52
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pirlone F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124825
   Pissourios IA, 2013, ECOL INDIC, V34, P420, DOI 10.1016/j.ecolind.2013.06.008
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Reischl C, 2018, CLIM POLICY, V18, P63, DOI 10.1080/14693062.2016.1227953
   Reisi M, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102095
   Romero-Lankao P, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121224
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Salerno GM, 2022, J SUSTAIN TOUR, V30, P1040, DOI 10.1080/09669582.2020.1860068
   Sarker M.N.I., 2020, 2020 INT C COMP INF, P1, DOI DOI 10.1109/ICCIT-144147971.2020.9213795
   Sarker MNI, 2021, GROWTH CHANGE, V52, P1155, DOI [10.1111/grow.12482, 10.1111/grow.12396]
   Sarker MNI, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101769
   Sarker MNI, 2020, POL J ENVIRON STUD, V29, P1825, DOI 10.15244/pjoes/109527
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Schwegler C, 2015, J ENVIRON STUD SCI, V5, P11, DOI [10.1007/s13412-014-0188-6, DOI 10.1007/S13412-014-0188-6]
   Serrano-López R, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.05.025
   Shamout S, 2021, SUSTAIN PROD CONSUMP, V25, P285, DOI 10.1016/j.spc.2020.08.015
   Sharifi A, 2022, ENVIRON PLAN B-URBAN, V49, P1536, DOI 10.1177/23998083211058798
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9061032
   Smith G, 2017, INT J SUST DEV WORLD, V24, P485, DOI 10.1080/13504509.2016.1240723
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Stumpp EM, 2013, CITIES, V32, P164, DOI 10.1016/j.cities.2013.01.003
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tanguay GA, 2010, ECOL INDIC, V10, P407, DOI 10.1016/j.ecolind.2009.07.013
   Thornbush M, 2013, SUSTAIN CITIES SOC, V9, P1, DOI 10.1016/j.scs.2013.01.003
   Toli AM, 2020, FRONT BUILT ENVIRON, V6, DOI 10.3389/fbuil.2020.00077
   Toubin M, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000229
   Trundle A., 2016, SUSTAINABILITY CITIZ, P1
   Turcu C, 2013, J ENVIRON PLANN MAN, V56, P695, DOI 10.1080/09640568.2012.698984
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Tzioutziou A, 2021, INFRASTRUCTURES-BASE, V6, DOI 10.3390/infrastructures6020024
   van der Heijden J, 2017, REGULATORY THEORY: FOUNDATIONS AND APPLICATIONS, P725
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Verma P, 2018, ECOL INDIC, V93, P282, DOI 10.1016/j.ecolind.2018.05.007
   Wagner Iwona, 2013, Ecohydrology & Hydrobiology, V13, P113, DOI 10.1016/j.ecohyd.2013.06.002
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wardekker A, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103258
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Wilson GA, 2013, LAND USE POLICY, V31, P298, DOI 10.1016/j.landusepol.2012.07.011
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P209, DOI 10.1016/j.landurbplan.2014.01.018
   Wubneh M, 2021, PLAN PERSPECT, V36, P363, DOI 10.1080/02665433.2020.1753104
   Zhang D, 2022, INFORM MANAGE-AMSTER, V59, DOI 10.1016/j.im.2019.103231
   Zhang JY, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102460
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 159
TC 124
Z9 129
U1 109
U2 553
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 2481
DI 10.3390/su14052481
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 ZS0KM
UT WOS:000768162100001
OA gold
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Fang, Y
   Liu, YL
   Yang, Y
   Lucey, B
   Abedin, MZ
AF Fang, Yan
   Liu, Yinglin
   Yang, Yi
   Lucey, Brian
   Abedin, Mohammad Zoynul
TI How do Chinese urban investment bonds affect its economic resilience?
   Evidence from double machine learning
SO RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE
LA English
DT Article
DE Economic Resilience; Urban Investment Debts; Double Machine Learning;
   LASSO Technique; Heterogeneity Analysis
ID REGIONAL RESILIENCE; GOVERNMENT DEBT; HETEROGENEITY; GROWTH; EUROPE
AB This paper employs the double machine learning model to investigate the impact of urban investment bonds on economic resilience. To deal with a broad set of macroeconomic and industry variables, LASSO is used for model estimation. The sample consists of 239 Chinese cities that issued debt and loan instruments between 2016 and 2021. The results show that 1) urban investment bonds have a positive, inverted U-shaped effect on economic resilience; 2) the ability to recover from an economic shock plays an important role in constructing the Chinese economic resilience index. The heterogeneity analysis reveals that the impact of urban investment bonds on economic resilience varies according to cities' locations, industrial structure, and financial structure. Furthermore, the mechanism analysis demonstrates that urban investment bonds enhance economic resilience by promoting infrastructure development. These findings provide helpful guidance for China and other developing countries to ensure financing security and maintain robust economic growth.
C1 [Fang, Yan] Shanghai Univ Int Business & Econ, Shanghai 201620, Peoples R China.
   [Liu, Yinglin] Shanghai Lixin Univ Accounting & Finance, Shanghai 201620, Peoples R China.
   [Yang, Yi] East China Univ Polit Sci & Law, Shanghai 201620, Peoples R China.
   [Lucey, Brian] Univ Dublin, Trinity Coll Dublin, Trinity Business Sch, Dublin, Ireland.
   [Abedin, Mohammad Zoynul] Swansea Univ, Sch Management, Bay Campus,Fabian Way, Swansea SA1 8EN, Wales.
C3 Shanghai University of International Business & Economics; Shanghai
   Lixin University of Accounting & Finance; East China University
   Political Science & Law; Trinity College Dublin; Swansea University
RP Liu, YL (corresponding author), Shanghai Lixin Univ Accounting & Finance, Shanghai 201620, Peoples R China.
EM yiffanyfang@163.com; yinglinliu1992@163.com; yangyibetty@yahoo.com;
   Brian.Lucey@tcd.ie; m.z.abedin@swansea.ac.uk
RI Abedin, Mohammad/K-2821-2019; Liu, Yinglin/HNQ-1435-2023
OI Abedin, Mohammad Zoynul/0000-0002-4688-0619
FU Major Program of the National Social Science Foundation of China
   [21BTJ047]
FX This paper was supported by the Major Program of the National Social
   Science Foundation of China (Grant No. 21BTJ047)
CR Ambrose Brent W., 2015, Understanding the risk of Chinas local government debts and its linkage with property markets
   Bach P, 2024, Arxiv, DOI arXiv:2103.09603
   Bao HXH, 2024, LAND USE POLICY, V136, DOI 10.1016/j.landusepol.2023.106964
   Bia M, 2024, J BUS ECON STAT, V42, P958, DOI 10.1080/07350015.2023.2271071
   Bodory H, 2022, ECONOMET J, V25, P628, DOI 10.1093/ectj/utac018
   Boucheron S, 2003, ANN PROBAB, V31, P1583
   Brada JC, 2021, INT REV FINANC ANAL, V74, DOI 10.1016/j.irfa.2021.101658
   Brakman S, 2015, CAMB J REG ECON SOC, V8, P225, DOI 10.1093/cjres/rsv005
   Chatterjee S, 2023, J EMPIR FINANC, V73, P334, DOI 10.1016/j.jempfin.2023.08.003
   Chen W, 2022, PAC-BASIN FINANC J, V73, DOI 10.1016/j.pacfin.2022.101760
   Chen Z, 2020, J FINANC ECON, V137, P42, DOI 10.1016/j.jfineco.2019.07.009
   Cheng JH, 2016, CHINA ECON REV, V40, P179, DOI 10.1016/j.chieco.2016.07.001
   Chernozhukov V, 2018, ECONOMET J, V21, pC1, DOI 10.1111/ectj.12097
   Chernozhukov V, 2017, AM ECON REV, V107, P261, DOI 10.1257/aer.p20171038
   Christensen K, 2023, J FINANC ECONOMET, V21, P1680, DOI 10.1093/jjfinec/nbac020
   Croce MM, 2019, J FINANC ECON, V132, P205, DOI 10.1016/j.jfineco.2018.11.010
   Davies S, 2011, CAMB J REG ECON SOC, V4, P369, DOI 10.1093/cjres/rsr019
   Demirci I, 2019, J FINANC ECON, V133, P337, DOI 10.1016/j.jfineco.2019.03.009
   Di Caro P, 2017, PAP REG SCI, V96, P93, DOI 10.1111/pirs.12168
   Dong Y, 2024, FINANC RES LETT, V70, DOI 10.1016/j.frl.2024.106330
   Du YA, 2023, INT REV FINANC ANAL, V88, DOI 10.1016/j.irfa.2023.102709
   Égert B, 2015, J MACROECON, V43, P226, DOI 10.1016/j.jmacro.2014.11.006
   Eichengreen B, 2024, ECON MODEL, V136, DOI 10.1016/j.econmod.2024.106748
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Fan JY, 2022, J BANK FINANC, V138, DOI 10.1016/j.jbankfin.2022.106475
   Friedman J, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i01
   Gennaioli N, 2013, Q J ECON, V128, P105, DOI 10.1093/qje/qjs050
   Ghosh AR, 2013, ECON J, V123, pF4, DOI 10.1111/ecoj.12010
   Giannakis E, 2020, REG STUD, V54, P1200, DOI 10.1080/00343404.2019.1698720
   Gu SH, 2020, REV FINANC STUD, V33, P2223, DOI 10.1093/rfs/hhaa009
   Han Y, 2015, REV REG STUD, V45, P131
   Jiang Y, 2023, IEEE T INTELL TRANSP, V24, P2307, DOI [10.1109/TITS.2022.3157447, 10.1002/joc.7642, 10.17706/ijeeee.2022.12.1.1-15]
   Knaus MC, 2021, J ROY STAT SOC A, V184, P282, DOI 10.1111/rssa.12623
   Kong PZ, 2024, PAC-BASIN FINANC J, V85, DOI 10.1016/j.pacfin.2024.102358
   Lagravinese R, 2015, CAMB J REG ECON SOC, V8, P331, DOI 10.1093/cjres/rsv006
   Li ZF, 2022, REG STUD, V56, P1282, DOI 10.1080/00343404.2021.1998419
   Pan FH, 2017, URBAN STUD, V54, P897, DOI 10.1177/0042098015624838
   PARK SH, 1989, J DEV ECON, V30, P359, DOI 10.1016/0304-3878(89)90009-6
   Rabellotti R, 1999, REG STUD, V33, P97, DOI 10.1080/00343409950122909
   Reinhart CM, 2010, AM ECON REV, V100, P573, DOI 10.1257/aer.100.2.573
   Sensier M, 2016, SPAT ECON ANAL, V11, P128, DOI 10.1080/17421772.2016.1129435
   Shi YY, 2017, J ASIAN ECON, V49, P26, DOI 10.1016/j.asieco.2017.02.004
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Trevor Hastie R., 2009, The Elements of Statistical Learning, V27, P83, DOI 10.1007/b94608
   Wang KL, 2023, SOCIO-ECON PLAN SCI, V87, DOI 10.1016/j.seps.2023.101607
   Wang XW, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020809
   Wang XL, 2022, CHINA ECON REV, V74, DOI 10.1016/j.chieco.2022.101806
   Woo J, 2015, ECONOMICA, V82, P705, DOI 10.1111/ecca.12138
   Wu HJ, 2021, J ASIAN ECON, V76, DOI 10.1016/j.asieco.2021.101341
   Yang JC, 2020, J ECONOMETRICS, V216, P268, DOI 10.1016/j.jeconom.2020.01.018
   Ye Z, 2022, LAND USE POLICY, V112, DOI 10.1016/j.landusepol.2020.105153
NR 51
TC 0
Z9 0
U1 45
U2 45
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0275-5319
EI 1878-3384
J9 RES INT BUS FINANC
JI Res. Int. Bus. Financ.
PD FEB
PY 2025
VL 74
AR 102728
DI 10.1016/j.ribaf.2024.102728
EA DEC 2024
PG 13
WC Business, Finance
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA S0C0J
UT WOS:001395002100001
OA hybrid
DA 2025-04-22
ER

PT J
AU Gao, L
   Wang, MZ
   Liu, AS
   Gong, HF
AF Gao, Lin
   Wang, Mingzhen
   Liu, Anshuang
   Gong, Huafeng
TI Comprehensive Evaluation of Urban Road Network Resilience Facing
   Earthquakes
SO MATHEMATICAL PROBLEMS IN ENGINEERING
LA English
DT Article
ID TRANSPORTATION NETWORK; RECOVERY; CAPACITY
AB The road network's transport capacity and traffic function will be directly reduced if urban roads are damaged by earthquakes. To effectively improve the resistance and recovery ability of urban road networks facing earthquake disasters, the establishment of an aseismic resilience evaluation method for the urban road network is the research goal. This paper's novelty introduces the concept of engineering resilience into the aseismic performance evaluation of urban road networks. It reveals the internal influence principle of nodes and independent pathways on the aseismic resilience of the network. This paper's significant contribution is to establish a reasonable and comprehensive urban road network aseismic resilience evaluation method. This method can realize the calculation of the aseismic resilience for the existing network, reconstruction network, and new network and propose the optimization, transformation, and layout for the network. The MATLAB program for the whole process calculation of aseismic resilience is developed. The overall network's aseismic resilience is obtained by the sum of the product of the node importance and the average number of the reliable independent pathways.
C1 [Gao, Lin; Wang, Mingzhen] Chongqing Univ Arts & Sci, Coll Civil Engn, Chongqing, Peoples R China.
   [Liu, Anshuang; Gong, Huafeng] TY Lin Int Engn Consulting China Co Ltd, Chongqing, Peoples R China.
C3 Chongqing University of Arts & Sciences
RP Wang, MZ (corresponding author), Chongqing Univ Arts & Sci, Coll Civil Engn, Chongqing, Peoples R China.
EM gaolin32@163.com; wmz917@126.com; liuanshuang@tylin.com.cn;
   gonghuafeng@tylin.com.cn
RI Wang, Mingzhen/HRB-4596-2023
OI Wang, Ming zhen/0000-0002-4852-9443; Gao, Lin/0000-0001-5186-2469
FU Chongqing Natural Science Foundation [CSTC2019jcyj-msxmX0781]; Youth
   Project of Science and Technology Research Program of Chongqing
   Education Commission of China [KJQN201901332]; National Natural Science
   Foundation of China [51678544]
FX This research was funded by the Chongqing Natural Science Foundation
   (CSTC2019jcyj-msxmX0781), the Youth Project of Science and Technology
   Research Program of Chongqing Education Commission of China
   (KJQN201901332), and the National Natural Science Foundation of China
   (51678544).
CR [Anonymous], 2001, Chin. J. Geotechnical Eng
   Bocchini P, 2013, J ENG MECH-ASCE, V139, P760, DOI 10.1061/(ASCE)EM.1943-7889.0000271
   Chang SE, 2001, TRANSPORT RES A-POL, V35, P475, DOI 10.1016/S0965-8564(00)00003-3
   Chen A, 2007, TRANSPORT RES REC, P49, DOI 10.3141/2029-06
   Dmitriev YG, 2019, RUSS PHYS J+, V62, P649, DOI 10.1007/s11182-019-01759-z
   [杜鹏 DU Peng], 2007, [世界地震工程, World Earthquake Engineering], V23, P161
   Forcellini D, 2019, INNOV INFRASTRUCT SO, V4, DOI 10.1007/s41062-018-0195-7
   Guikema S, 2009, J INFRASTRUCT SYST, V15, P61, DOI 10.1061/(ASCE)1076-0342(2009)15:2(61)
   Guo En-dong, 2013, Journal of Beijing University of Technology, V39, P192
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Kameshwar S, 2019, RELIAB ENG SYST SAFE, V191, DOI 10.1016/j.ress.2019.106568
   [兰日清 Lan Riqing], 2017, [自然灾害学报, Journal of Natural Disasters], V26, P135
   Lee YJ, 2011, STRUCT INFRASTRUCT E, V7, P509, DOI 10.1080/15732479.2010.493338
   Li ZL, 2019, RELIAB ENG SYST SAFE, V188, P503, DOI 10.1016/j.ress.2019.03.052
   Lin JQ, 2012, APPL MECH MATER, V170-173, P1402, DOI 10.4028/www.scientific.net/AMM.170-173.1402
   Morlok EK, 2004, TRANSPORT RES A-POL, V38, P405, DOI 10.1016/j.tra.2004.03.001
   Peeta S, 2010, COMPUT OPER RES, V37, P1708, DOI 10.1016/j.cor.2009.12.006
   Qian YS, 2012, MATH PROBL ENG, V2012, DOI 10.1155/2012/430785
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Shang WL, 2020, MATH PROBL ENG, V2020, DOI 10.1155/2020/5875803
   [孙海 Sun Hai], 2017, [世界地震工程, World Earthquake Engineering], V33, P152
   Wang J, 2019, J AMB INTEL HUM COMP, V10, P395, DOI 10.1007/s12652-018-0717-3
   [王晶 Wang Jing], 2018, [中国管理科学, Chinese Journal of Management Science], V26, P177
   Wei L., 2019, RELIAB ENG SYST SAFE, V2019, P1
   Yang YF, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101485
   Yang YF, 2018, SUSTAIN CITIES SOC, V42, P407, DOI 10.1016/j.scs.2018.07.013
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   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
   Zhang WH, 2019, PROSTATE, V79, P390, DOI 10.1002/pros.23745
   Zhou Y, 2020, IEEE SYST J, V14, P220, DOI 10.1109/JSYST.2019.2920681
   Zou QL, 2019, RELIAB ENG SYST SAFE, V191, DOI 10.1016/j.ress.2019.106557
NR 32
TC 7
Z9 7
U1 10
U2 105
PU HINDAWI LTD
PI LONDON
PA ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND
SN 1024-123X
EI 1563-5147
J9 MATH PROBL ENG
JI Math. Probl. Eng.
PD MAY 3
PY 2021
VL 2021
AR 6659114
DI 10.1155/2021/6659114
PG 12
WC Engineering, Multidisciplinary; Mathematics, Interdisciplinary
   Applications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Mathematics
GA SX3AS
UT WOS:000665082000014
OA gold
DA 2025-04-22
ER

PT J
AU Heinzlef, C
   Becue, V
   Serre, D
AF Heinzlef, Charlotte
   Becue, Vincent
   Serre, Damien
TI A spatial decision support system for enhancing resilience to floods:
   bridging resilience modelling and geovisualization techniques
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID SOCIAL VULNERABILITY; CLIMATE-CHANGE; CARTOGRAPHIC VISUALIZATION;
   COMMUNITY RESILIENCE; URBAN RESILIENCE; RISK; INDICATORS; IMPACT; CITY
AB In the context of climate change and increasing urbanization, floods are considerably affecting urban areas. The concept of urban resilience may be an interesting means of responding to urban flood issues. The objective of this research is to propose a spatial decision support tool based on geovisualization techniques and a resilience assessment method. The goal is to localize the level of resilience modelled in different territories. The methodology proposed consists of integrating three resilience indicators applied to a case study in Avignon (Provence-Alpes-Cote d'Azur region, France) and the use of geovisualization techniques: using GIS for data processing and analysis, visualization, mapping, and model processing. The methodology integrates decision-making by identifying characteristics capable of improving urban resilience and facilitating its understanding using a visual tool. The results demonstrate the usefulness of modelling resilience using geovisualization techniques to identify the potential for local resilience; integrate local stakeholders into a process of clarifying the concept through the contribution of visualization; and consider easier access to this concept based on data analysis, processing and visualization through the design of maps.
C1 [Heinzlef, Charlotte; Serre, Damien] Univ French Polynesia, UMR EIO 241, BP 6570, Tahiti 98702, French Polynesi, France.
   [Becue, Vincent] Univ Mons, Fac Architecture & Urban Planning, Rue Havre 88, Mons 7000, Belgium.
C3 Ifremer; Institut de Recherche pour le Developpement (IRD); University
   of Mons
RP Serre, D (corresponding author), Univ French Polynesia, UMR EIO 241, BP 6570, Tahiti 98702, French Polynesi, France.
EM damien.serre@upf.pf
OI serre, damien/0000-0002-2902-2989; Heinzlef,
   Charlotte/0000-0002-9984-1402
FU region Provence-Alpes-Cote d'Azur [2016_11877]; CNRS through the MITI
   interdisciplinary programs; IRD
FX This research has been supported by the region Provence-Alpes-Cote
   d'Azur (grant no. 2016_11877). This project has received financial
   support from the CNRS through the MITI interdisciplinary programs and
   from the IRD.
CR Aerts JCJH, 2013, RISK ANAL, V33, P772, DOI 10.1111/risa.12008
   [Anonymous], 2012, THESIS
   [Anonymous], RESILIENCE URBAN RIS
   Apel H, 2009, NAT HAZARDS, V49, P79, DOI 10.1007/s11069-008-9277-8
   Bakkensen LA, 2017, RISK ANAL, V37, P982, DOI 10.1111/risa.12677
   Balsells M, 2015, P I CIVIL ENG-WAT M, V168, P57, DOI 10.1680/wama.14.00051
   Bambara G, 2015, NAT HAZARD EARTH SYS, V15, P603, DOI 10.5194/nhess-15-603-2015
   Barroca B., 2018, International Journal of Cartography, V4, P1, DOI [https://doi.org/10.1080/23729333.2018.1444376, DOI 10.1080/23729333.2018.1444376]
   Bathrellos GD, 2012, ENVIRON EARTH SCI, V66, P537, DOI 10.1007/s12665-011-1263-x
   Burby R. J., 2001, Environmental Hazards, V3, P111
   Callon Michel, 2001, Agir dans un monde incertain
   Casadio Tarabusi E, 2013, SOC INDIC RES, V112, P19, DOI 10.1007/s11205-012-0070-4
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   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
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Moel H, 2015, MITIG ADAPT STRAT GL, V20, P865, DOI 10.1007/s11027-015-9654-z
   Chinh DT, 2016, DISASTERS, V40, P753, DOI 10.1111/disa.12171
   Donolo R.M., 2014, Contributions to geovisualization for territorial intelligence (dissertation)
   Elmer F, 2012, NAT HAZARD EARTH SYS, V12, P1641, DOI 10.5194/nhess-12-1641-2012
   Ernst J, 2010, NAT HAZARDS, V55, P181, DOI 10.1007/s11069-010-9520-y
   Esty D. C., 2005, ENV SUSTAINABLITY IN
   European Environment Agency, 2019, EC LOSS CLIM REL EXT
   Fekete A, 2009, NAT HAZARD EARTH SYS, V9, P393, DOI 10.5194/nhess-9-393-2009
   Fox-Lent Cate, 2015, Environment Systems & Decisions, V35, P209, DOI 10.1007/s10669-015-9555-4
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Gardner G, 2016, STATE WORLD, P27, DOI 10.5822/978-1-61091-756-8_3
   Garschagen M, 2015, PAC AFF, V88, P599, DOI 10.5509/2015883599
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Gaslikova L, 2011, NAT HAZARD EARTH SYS, V11, P1205, DOI 10.5194/nhess-11-1205-2011
   Gerl T, 2014, WATER-SUI, V6, P2367, DOI 10.3390/w6082367
   Golz S, 2015, URBAN WATER J, V12, P30, DOI 10.1080/1573062X.2014.939090
   Heinzlef C, 2019, Modelisation d'indicateurs de resilience urbaine face au risque d'inondation. Co-construction d'un systeme spatial d'aide a la decision pour contribuer a l'operationnalisation du concept de resilience
   Heinzlef C, 2019, SAFETY SCI, V118, P181, DOI 10.1016/j.ssci.2019.05.003
   Holand IS, 2011, NORSK GEOGR TIDSSKR, V65, P1, DOI 10.1080/00291951.2010.550167
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Johansson J, 2017, IEEE COMPUT GRAPH, V37, P54, DOI 10.1109/MCG.2016.49
   Jovanovic A, 2018, URBAN BOOK SERIES, P285, DOI 10.1007/978-3-319-68606-6_17
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kraak MJ, 2003, ISPRS J PHOTOGRAMM, V57, P390, DOI 10.1016/S0924-2716(02)00167-3
   Leskens JG, 2014, ENVIRON MODELL SOFTW, V53, P53, DOI 10.1016/j.envsoft.2013.11.003
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Löwe R, 2018, ENVIRON MODELL SOFTW, V102, P155, DOI 10.1016/j.envsoft.2018.01.008
   MACEACHREN A.M., 2001, Cartography and Geographic Information Science, V28, P3, DOI [DOI 10.1559/152304001782173970, 10.1559/152304001782173970]
   MacEachren AM, 2004, IEEE COMPUT GRAPH, V24, P13, DOI 10.1109/MCG.2004.1255801
   Maceachren AM, 1997, COMPUT GEOSCI, V23, P335, DOI 10.1016/S0098-3004(97)00018-6
   Meyer V, 2009, NAT HAZARDS, V48, P17, DOI 10.1007/s11069-008-9244-4
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Morrow Betty., 2008, COMMUNITY RESILIENCE, DOI [DOI 10.13140/RG.2.1.1278.9604, 10.13140/RG.2.1.1278.9604]
   Moser SC, 2005, GLOBAL ENVIRON CHANG, V15, P353, DOI 10.1016/j.gloenvcha.2005.08.002
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Næss LO, 2006, GLOBAL ENVIRON CHANG, V16, P221, DOI 10.1016/j.gloenvcha.2006.01.007
   Opach T., 2013, CARTOGRAPHICA, V48, P113, DOI DOI 10.3138/CARTO.48.2.1840
   Patil VH, 2008, J BUS RES, V61, P162, DOI 10.1016/j.jbusres.2007.05.008
   Patt A, 2005, CR GEOSCI, V337, P425, DOI 10.1016/j.crte.2004.10.004
   Prior T, 2014, J RISK RES, V17, P281, DOI 10.1080/13669877.2013.808686
   Radhakrishnan M, 2017, WATER-SUI, V9, DOI 10.3390/w9020129
   Sandul Yasobant Sandul Yasobant, 2015, Journal of Geographic Information System, V7, P20, DOI 10.4236/jgis.2015.71002
   Schinke R, 2012, NAT HAZARD EARTH SYS, V12, P2865, DOI 10.5194/nhess-12-2865-2012
   Schinke R, 2016, ISPRS INT J GEO-INF, V5, DOI 10.3390/ijgi5110202
   Schumann G, 2009, IEEE T GEOSCI REMOTE, V47, P2801, DOI 10.1109/TGRS.2009.2017937
   Serre D, 2018, J FLOOD RISK MANAG, V11, pS69, DOI 10.1111/jfr3.12253
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Serre D, 2018, URBAN BOOK SERIES, P207, DOI 10.1007/978-3-319-68606-6_13
   Serre D, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160707002
   Singh-Peterson L, 2014, INT J DISAST RISK RE, V10, P116, DOI 10.1016/j.ijdrr.2014.07.004
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Sylves R., 2007, EMERGENCY MANAGEMENT, P183
   [The H. John Heinz III Center for Science Economics and the Environment John Heinz III Center for Science Economics and the Environment], 2002, Human Links to Coastal Disasters, P23
   Tierney K., 2009, 6 CARR RES
   Tierney K.J., 2001, FACING UNEXPECTED DI
   Tierney Kathleen., 2014, SOCIAL ROOTS RISK PR
   Vorogushyn S, 2012, J HYDROL, V436, P120, DOI 10.1016/j.jhydrol.2012.03.006
   Wallemacq P., 2018, Economic Losses, Poverty Disasters: 1998-2017
   Ward PJ, 2011, NAT HAZARD EARTH SYS, V11, P3181, DOI 10.5194/nhess-11-3181-2011
NR 77
TC 29
Z9 31
U1 3
U2 44
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 APR 21
PY 2020
VL 20
IS 4
BP 1049
EP 1068
DI 10.5194/nhess-20-1049-2020
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 LI2JY
UT WOS:000529311100001
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Aroca-Jiménez, E
   Bodoque, JM
   García, JA
AF Aroca-Jimenez, Estefania
   Bodoque, Jose Maria
   Garcia, Juan Antonio
TI An Integrated Multidimensional Resilience Index for urban areas prone to
   flash floods: Development and validation
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Resilience; Flash flooding; Sensitivity analysis; Uncertainty; Flood
   risk management; Multidimensional approach
ID SOCIAL VULNERABILITY; RISK-MANAGEMENT; PROVINCE; HAZARDS
AB Resilience analysis is critical in developing flash flood risk reduction strategies in the context of global change and sustainable development. The most common method for assessing resilience is index-based. Nevertheless, the resulting indices typically fail to represent resilience's multidimensional character since they frequently disregard all involved dimensions (i.e., social, economic, environmental, physical, institutional, and cultural). Furthermore, regional resilience indices are rarely externally validated in urban areas prone to flash flooding because the required data are limited and flash flooding does not occur concurrently throughout the study region. This research developed and validated a regional Integrated Multidimensional Resilience Index (IMRI) in urban flash flood-prone areas to address the aforementioned knowledge gaps. The Monte Carlo method enabled internal validation of the IMRI following uncertainty and sensitivity analyses. Latent Class Cluster Analysis (LCCA) was used to characterize resilience, leveraging resulting regional spatial patterns. The flndings obtained revealed that the most resilient urban areas have greater social and cultural resilience, while the least resilient urban areas should strengthen their social and institutional resilience. Validation results demonstrated a low bias between the IMRI scores and the control statistics derived from the Monte Carlo analysis as well as a higher than 80 % probability of not getting variations in the resilience categories, conflrming the robustness of the IMRI. Through LCCA, flve distinct regional spatial patterns of resilience were identifled. The methodological approach deployed here enabled the identiflcation of the underlying characteristics that determine the urban system's resilience to flash flooding, thereby supporting the formulation of resilience-building strategies for each dimension and urban area under consideration.
C1 [Aroca-Jimenez, Estefania; Bodoque, Jose Maria] Univ Castilla La Mancha, Dept Min & Geol Engn, Avda Carlos 3, Toledo 45071, Spain.
   [Garcia, Juan Antonio] Univ Castilla La Mancha, Dept Business Adm, Avda Real Fabrica Sedas, Talavera De La Reina 45600, Spain.
C3 Universidad de Castilla-La Mancha; Universidad de Castilla-La Mancha
RP Aroca-Jiménez, E (corresponding author), Univ Castilla La Mancha, Dept Min & Geol Engn, Avda Carlos 3, Toledo 45071, Spain.
EM estefania.aroca@uclm.es
RI Aroca-Jiménez, Estefanía/AAG-8352-2021; Garcia, Juan/N-3723-2014;
   Bodoque, Jose Maria/E-3129-2016
OI Bodoque, Jose Maria/0000-0002-7865-5141
FU ERDF A way of making Europe; MCIN/AEI [CGL2017-83546-C3-1-R/AEI/FEDER,
   UE]; ERDF A way of making Europe
FX This research is part of the project CGL2017-83546-C3-1-R/AEI/FEDER, UE,
   funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making
   Europe".
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Aroca-Jimenez E, 2023, Zenodo, DOI 10.5281/ZENODO.7540559
   Aroca-Jiménez E, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128083
   Aroca-Jiménez E, 2020, SCI TOTAL ENVIRON, V746, DOI 10.1016/j.scitotenv.2020.140905
   Arrighi C, 2022, J FLOOD RISK MANAG, V15, DOI 10.1111/jfr3.12794
   Bakkensen LA, 2017, RISK ANAL, V37, P982, DOI 10.1111/risa.12677
   Batica J, 2016, PROCEDIA ENGINEER, V154, P811, DOI 10.1016/j.proeng.2016.07.411
   Beccari Benjamin, 2016, PLoS Curr, V8, DOI 10.1371/currents.dis.453df025e34b682e9737f95070f9b970
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Blazquez L, 2021, ENVIRON SCI POLICY, V124, P506, DOI 10.1016/j.envsci.2021.07.024
   Bodoque JM, 2016, J HYDROL, V541, P665, DOI 10.1016/j.jhydrol.2016.02.005
   Bodoque JM, 2015, J HYDROL, V529, P449, DOI 10.1016/j.jhydrol.2014.12.004
   Boon HJ, 2014, NAT HAZARDS, V71, P683, DOI 10.1007/s11069-013-0935-0
   Borga M, 2011, ENVIRON SCI POLICY, V14, P834, DOI 10.1016/j.envsci.2011.05.017
   Chun H, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122222
   Cortès M, 2018, NAT HAZARDS, V93, P39, DOI 10.1007/s11069-017-3014-0
   CRED, 2021, DIS NUMB EXTR EV DEF
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Feizizadeh B, 2017, J ENVIRON PLANN MAN, V60, P2013, DOI 10.1080/09640568.2016.1269643
   Fekete A, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1397
   Feldmeyer D, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145734
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Hagenlocher M, 2018, SCI TOTAL ENVIRON, V631-632, P71, DOI 10.1016/j.scitotenv.2018.03.013
   Hernández-Morcillo M, 2013, ECOL INDIC, V29, P434, DOI 10.1016/j.ecolind.2013.01.013
   Highfield WE, 2013, NAT HAZARDS REV, V14, P229, DOI 10.1061/(ASCE)NH.1527-6996.0000114
   Islam M. R., 2021, International Journal of Agricultural Research, Innovation and Technology, V10, P47, DOI 10.3329/ijarit.v10i2.51576
   Kelly-Quinn M., 2021, CLEAN WATER SANITATI, DOI [10.1007/978-3-319-70061-8_147-1, DOI 10.1007/978-3-319-70061-8_147-1]
   Khan MTI, 2022, J CLEAN PROD, V366, DOI 10.1016/j.jclepro.2022.132937
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   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
   Liu DL, 2016, NAT HAZARD EARTH SYS, V16, P1123, DOI 10.5194/nhess-16-1123-2016
   Martin P.J., 2015, GUIA PRACTICA ESTADI
   Marzi S, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221585
   Mayunga J.S., 2007, SUMMER ACAD SOCIAL V, V1, P1, DOI DOI 10.1146/ANNUREV.ENERGY.32.051807.090348
   Mendoza-Cano O, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16122128
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Moreira LL, 2021, WATER-SUI, V13, DOI 10.3390/w13010098
   Nazeer M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236695
   Oriangi G., 2019, Am J Clim Change, V8, P520, DOI [10.4236/ajcc.2019.84028, DOI 10.4236/AJCC.2019.84028]
   Parsons M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102422
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Rana IA, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102442
   Renald A, 2016, PROCD SOC BEHV, V227, P334, DOI 10.1016/j.sbspro.2016.06.079
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   Saltelli A., 2004, SENSITIVITY ANAL PRA, V1, DOI [10.1111/j.1467-985X.2005.35813.x, DOI 10.1002/0470870958]
   Sarstedt M., 2014, CONCISE GUIDE MARKET, Vsecond, DOI [10.1007/978-3-642-53965-7_9Berlin,Germany, DOI 10.1007/978-3-642-53965-7_9BERLIN,GERMANY]
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Tate E, 2013, ANN ASSOC AM GEOGR, V103, P526, DOI 10.1080/00045608.2012.700616
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   Tierney K, 2012, ANNU REV ENV RESOUR, V37, P341, DOI 10.1146/annurev-environ-020911-095618
   Trninic V., 2013, Fizicka Kultura, V67, P1, DOI [10.5937/fizkul1301001T, DOI 10.5937/FIZKUL1301001T]
   Vermunt J.K., 2016, Technical guide for Latent GOLD 5.1: Basic, Advanced, and Syntax1
   Vojinovic Z, 2016, NAT HAZARDS, V81, P589, DOI 10.1007/s11069-015-2098-7
   Wyss R, 2022, MT RES DEV, V42, pA23, DOI 10.1659/MRD-JOURNAL-D-21-00044.1
NR 55
TC 4
Z9 4
U1 10
U2 41
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 10
PY 2023
VL 894
AR 164935
DI 10.1016/j.scitotenv.2023.164935
EA JUN 2023
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA Q1FK4
UT WOS:001055041800001
PM 37343874
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Heinzlef, C
   Becue, V
   Serre, D
AF Heinzlef, Charlotte
   Becue, Vincent
   Serre, Damien
TI Operationalizing urban resilience to floods in embanked territories -
   Application in Avignon, Provence Alpes Cote d'azur region
SO SAFETY SCIENCE
LA English
DT Article
DE Urban floods; Urban resilience; Climate change; Decision-support tool
ID CRITICAL INFRASTRUCTURE; SOCIAL VULNERABILITY; RISK; PERSPECTIVE;
   INDICATORS; METAPHOR
AB Over-urbanization coupled with a climate change has led to an increase in urban floods, both in frequency and intensity. Faced with growing uncertainties, managers are struggling to find appropriate risk management strategies. Alongside traditional risk management strategies, the concept of Urban Resilience is embedded in political discourses, international and local strategies. However, this concept remains still very abstract for a lot of actors, a buzzword difficult to operationalize. The objective of this work is to concretize urban resilience to floods by proposing a spatial decision support tool co-built with urban managers. The proposed methodology is a holistic approach integrating three indicators of resilience applied to the Avignon rase study (Provence Alpes Cote d'Azur Region).
C1 [Heinzlef, Charlotte] Univ Avignon, UMR 7300, ESPACE, 74 Rue Louis Pasteur Case 19, F-84029 Avignon 1, France.
   [Heinzlef, Charlotte; Becue, Vincent] Univ Mons, Fac Architecture & Urban Maiming, Rue Havre 88, B-7000 Mons, Belgium.
   [Serre, Damien] Univ French Polynesia, EIO, UMR 241, Punaauia BP 6570, F-98702 Tahiti, French Polynesi, France.
C3 Avignon Universite; Centre National de la Recherche Scientifique (CNRS);
   CNRS - Institute for Humanities & Social Sciences (INSHS); University of
   Mons; Ifremer
RP Heinzlef, C (corresponding author), Univ Avignon, UMR 7300, ESPACE, 74 Rue Louis Pasteur Case 19, F-84029 Avignon 1, France.
EM charlotte.heinzlef@univ-avignon.fr; Vincent.becue@umons.ac.be;
   Damien.serre@upf.pf
OI serre, damien/0000-0002-2902-2989; Heinzlef,
   Charlotte/0000-0002-9984-1402
CR Ale BJM, 2005, RELIAB ENG SYST SAFE, V90, P196, DOI 10.1016/j.ress.2004.10.015
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 6 CARR
   [Anonymous], NATURAL DISASTER DEV
   [Anonymous], 2016, RESOURCE GUIDE RESIL
   [Anonymous], CATASTROPHES NATUREL
   [Anonymous], TEMPS CATASTROPHES
   [Anonymous], 2015, The Human Cost of Weather Related Disasters
   [Anonymous], CRED CRUNCH NAT DIS
   [Anonymous], POP EMPL IMP SURF IN
   [Anonymous], 2013, ECHOGEO, DOI DOI 10.4000/ECHOGEO.13439
   [Anonymous], VULNERABILITY RESILI
   [Anonymous], RESILIENCE RENAISSAN
   [Anonymous], PROJET PROJET CONCEV
   [Anonymous], ECOLE POLYTECHNIQUE
   [Anonymous], BASCULEMENT MONDE TE
   [Anonymous], 1999, CRUCIBLES HAZARD MEG
   [Anonymous], J DISASTER RISK REDU
   [Anonymous], 2006, REFLEXIONS AUTOUR VU
   [Anonymous], TERRITOIRE RISQUE IM
   [Anonymous], RESILIENCE URBAN RIS
   [Anonymous], TECH SCI METHODES
   [Anonymous], AMELIORER RESILIENCE
   Ansell C., 2010, Journal of Contingencies and Crisis Management, V18, P195
   Bakkensen LA, 2017, RISK ANAL, V37, P982, DOI 10.1111/risa.12677
   Balsells M, 2015, P I CIVIL ENG-WAT M, V168, P57, DOI 10.1680/wama.14.00051
   Barroca B, 2006, NAT HAZARD EARTH SYS, V6, P553, DOI 10.5194/nhess-6-553-2006
   Boin A., 2007, J CCM, V15, P50, DOI DOI 10.1111/J.1468-5973.2007.00504.X
   Bourdieu P., 2004, Science of science and reflexivity
   Brand FS, 2007, ECOL SOC, V12
   Brauner F, 2018, URBAN BOOK SERIES, P171, DOI 10.1007/978-3-319-68606-6_11
   Brown D.P., 2005, TROPICAL CYCLONE REP
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Cutter S.L., 2008, 1 CARR
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Dauphine A., 2013, RISQUES CATASTROPHES
   Davidson-Hunt I. J., 2002, Navigating social-ecological systems: building resilience for complexity and change, P53, DOI [10.1017/CBO9780511541957.006, DOI 10.1017/CBO9780511541957.006]
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dobson M, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160708012
   Emrich C.T., 2018, VULNERABILITY RESILI, P124
   Fekete A, 2009, NAT HAZARD EARTH SYS, V9, P393, DOI 10.5194/nhess-9-393-2009
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fox-Lent Cate, 2015, Environment Systems & Decisions, V35, P209, DOI 10.1007/s10669-015-9555-4
   Freudenberg M., 2003, OECD Science, Technology and Industry Working Papers, 2003/16, DOI [DOI 10.1787/405566708255, 10.1787/18151965]
   Frommer B, 2011, NAT HAZARDS, V58, P85, DOI 10.1007/s11069-010-9644-0
   Fuchs S., 2018, Vulnerability and resilience to natural hazards
   Galland J.P., 2010, Metropolis, V2010, P6, DOI [10.3917/flux.081.0006, DOI 10.3917/FLUX.081.0006]
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Gonzva M., 2017, Resilience des systemes de transport guide en milieu urbain: approche quantitative des perturbations et strategies de gestion
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Holand IS, 2011, NORSK GEOGR TIDSSKR, V65, P1, DOI 10.1080/00291951.2010.550167
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hutter G., 2018, VULNERABILITY RESILI, P190
   Ionescu S., 2012, Resilience: connaissances de base, P222
   Jigyasu R., 2005, WHAT IS DISASTER NEW, P49
   Johansson J, 2017, IEEE COMPUT GRAPH, V37, P54, DOI 10.1109/MCG.2016.49
   Jovanovic A, 2018, URBAN BOOK SERIES, P285, DOI 10.1007/978-3-319-68606-6_17
   Kelman I, 2007, DISASTERS, V31, P288, DOI 10.1111/j.1467-7717.2007.01010.x
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Laganier R, 2015, RESILIENCE IMPERATIVE: UNCERTAINTY, RISKS AND DISASTERS, P147
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Lhomme S, 2010, WIT TRANS ECOL ENVIR, V129, P661, DOI 10.2495/SC100561
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Moynihan D.P., 2009, Response to Hurricane Katrina
   Mustajoki J, 2004, ENVIRON MODELL SOFTW, V19, P537, DOI 10.1016/j.envsoft.2003.07.002
   National Research Council, 2012, Disaster Resilience: A National Imperative
   Nguyen KV, 2013, ECOL SOC, V18, DOI 10.5751/ES-05427-180313
   Nones M, 2016, INT J RIVER BASIN MA, V14, P195, DOI 10.1080/15715124.2016.1149074
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Oien K, 2001, RELIAB ENG SYST SAFE, V74, P129, DOI 10.1016/S0951-8320(01)00067-9
   Opach T., 2013, CARTOGRAPHICA, V48, P113, DOI DOI 10.3138/CARTO.48.2.1840
   Pescaroli G, 2017, J CONTING CRISIS MAN, V25, P56, DOI 10.1111/1468-5973.12118
   Pescaroli G, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160707003
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Pidgeon N, 2000, SAFETY SCI, V34, P15, DOI 10.1016/S0925-7535(00)00004-7
   Reghezza-Zitt M, 2012, CYBERGEO, DOI 10.4000/cybergeo.25554
   Robinson GM, 2016, GEOGR J, V182, P114, DOI 10.1111/geoj.12144
   Saunders WSA, 2015, INT J DISAST RISK RE, V14, P73, DOI 10.1016/j.ijdrr.2015.01.013
   Serre D, 2018, J FLOOD RISK MANAG, V11, pS69, DOI 10.1111/jfr3.12253
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Serre D, 2018, URBAN BOOK SERIES, P207, DOI 10.1007/978-3-319-68606-6_13
   Serre D, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160707002
   Shaw D, 2014, GLOBAL ENVIRON CHANG, V25, P194, DOI 10.1016/j.gloenvcha.2014.01.006
   Steen R, 2011, SAFETY SCI, V49, P292, DOI 10.1016/j.ssci.2010.09.003
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   The Rockefeller Foundation, 2015, CIT RES IND
   Toubin M, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000229
   UNISDR, 2009, TERM DIS RISK RED
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   Vinet F., 2017, Introduction. Floods
   Voss M., 2008, Behemoth: A Journal on Civilisation, V3, P39
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Wilson GeoffA., 2013, Community resilience: path dependency, lock-in effects and transitional ruptures
   ZEVENBERGEN Chris., 2010, Urban flood management
NR 103
TC 38
Z9 39
U1 3
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 OCT
PY 2019
VL 118
BP 181
EP 193
DI 10.1016/j.ssci.2019.05.003
PG 13
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 IJ6FY
UT WOS:000475999000018
OA Green Submitted, Green Published, Bronze
DA 2025-04-22
ER

PT J
AU Amegavi, GB
   Nursey-Bray, M
   Suh, J
AF Amegavi, George Babington
   Nursey-Bray, Melissa
   Suh, Jungho
TI Advancing social equity in urban resilience planning: challenges and
   opportunities
SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
LA English
DT Article; Early Access
DE urban resilience; social equity; community participation; planning;
   Ghana
ID JUSTICE; POLITICS
AB While considerable efforts have been made to improve urban resilience development, less attention has been paid to evaluating social equity concerns. This issue is particularly relevant for developing countries, such as Ghana, where inequality is growing. Using a mixed methods approach and drawing on semi-structured interviews, survey questionnaires, and document analysis, this study examines how social equity is applied to urban resilience. We found that power asymmetry, project politicisation, lack of respect, and recognition of community interests and views shape and reinforce inequitable benefits, procedures, and access to participatory spaces for urban poor communities. The study highlights the need to transcend the narrow focus on traditional distribution and procedural concerns, which overlooks the role of recognition and contextual issues in shaping participation and equity outcomes in urban resilience. It also contributes new ways to design policies and plan urban resilience initiatives that hold promise for advancing equity.
C1 [Amegavi, George Babington; Nursey-Bray, Melissa; Suh, Jungho] Univ Adelaide, Dept Geog Environm & Populat, Adelaide, SA, Australia.
C3 University of Adelaide
RP Amegavi, GB (corresponding author), Univ Adelaide, Dept Geog Environm & Populat, Adelaide, SA, Australia.
EM george.amegavi@adelaide.edu.au
RI Nursey-Bray, Melissa/J-8183-2019; Amegavi, George/MEP-3561-2025
CR Agyeman J, 2003, URBAN IND ENVIRON, P1
   Allen A., 2017, Environmental Justice and Urban Resilience in the Global South, P175
   Amegavi GB, 2024, INT J DISAST RISK RE, V103, DOI 10.1016/j.ijdrr.2024.104313
   Amegavi GB, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103325
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Baxter J.W., 1999, Journal of Environmental Planning and Management, V42, P501, DOI DOI 10.1080/09640569911037
   Chu E, 2019, ENVIRON URBAN, V31, P139, DOI 10.1177/0956247818814449
   Fitzgibbons J, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102997
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Gaisie E, 2022, J ENVIRON PLANN MAN, V65, P1390, DOI 10.1080/09640568.2021.1930522
   Germain RH, 2001, FOREST POLICY ECON, V3, P113, DOI 10.1016/S1389-9341(01)00065-X
   Government of Ghana, 2020, Greater Accra Resilience Integrated Development
   Government of Ghana, 2019, Final Report
   Graham S, 2015, CLIMATIC CHANGE, V130, P411, DOI 10.1007/s10584-014-1171-7
   Grasham CF, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1344
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Kim JW, 2022, J ENVIRON PLANN MAN, V65, P833, DOI 10.1080/09640568.2021.1915258
   Kochskaemper E, 2025, J ENVIRON PLANN MAN, V68, P1691, DOI 10.1080/09640568.2023.2297648
   Kpessa MW, 2011, J DEV SOC, V27, P29, DOI 10.1177/0169796X1002700103
   Linh H. T. P., 2019, Transformative Adaptation and Social Justice in Ho Chi Minh City, Viet Nam
   Martin A, 2016, BIOL CONSERV, V197, P254, DOI 10.1016/j.biocon.2016.03.021
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   McDermott M, 2013, ENVIRON SCI POLICY, V33, P416, DOI 10.1016/j.envsci.2012.10.006
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Nthambi M, 2021, ECOL ECON, V179, DOI 10.1016/j.ecolecon.2020.106831
   Nursey-Bray M, 2017, LOCAL ENVIRON, V22, P156, DOI 10.1080/13549839.2016.1181618
   Pascual U, 2014, BIOSCIENCE, V64, P1027, DOI 10.1093/biosci/biu146
   Rain D., 2011, Background paper for Cities and Climate Change: Global Report on Human Settlements
   Rodina L, 2017, CURR OPIN ENV SUST, V26-27, P143, DOI 10.1016/j.cosust.2017.09.001
   Schlosberg David., DEFINING ENV JUSTICE, DOI [10.1093/acprof:oso/9780199286294.001.0001/acprof-9780199286294, DOI 10.1093/ACPROF:OSO/9780199286294.001.0001/ACPROF-9780199286294]
   Schreckenberg K., 2016, PARKS, V22, P11, DOI DOI 10.2305/IUCN.CH.2016.PARKS-22-2KS.EN
   Spector P.E., 1992, SUMMATED RATING SCAL, V82
   Steele W, 2012, INT PLAN STUD, V17, P67, DOI 10.1080/13563475.2011.638188
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Walker G., 2011, Environmental Justice: Concepts, Evidence and Politics, DOI 10.4324/9780203610671
   World Bank, 2017, Greater Accra Clean, Resilient and Inclusive Development Project
   Young IM, 2001, J POLIT PHILOS, V9, P1, DOI 10.1111/1467-9760.00115
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 39
TC 0
Z9 0
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 0964-0568
EI 1360-0559
J9 J ENVIRON PLANN MAN
JI J. Environ. Plan. Manag.
PD 2025 FEB 5
PY 2025
DI 10.1080/09640568.2025.2463558
EA FEB 2025
PG 21
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA X1Q2J
UT WOS:001423173700001
OA hybrid
DA 2025-04-22
ER

PT J
AU Zhang, JF
   Yang, ZR
   He, B
AF Zhang, Jifeng
   Yang, Zirui
   He, Bing
TI Does Digital Infrastructure Improve Urban Economic Resilience? Evidence
   from the Yangtze River Economic Belt in China
SO SUSTAINABILITY
LA English
DT Article
DE digital infrastructure; urban economic resilience; the Yangtze River
   Economic Belt
ID TECHNOLOGY
AB Under the pressure exerted by COVID-19 and geopolitical conflicts, establishing how to enhance urban economic resilience and cope with external risks has become the focus of many studies. This study considers the "Broadband China" program as a quasi-natural experiment and uses panel data from 106 Chinese cities between 2011 and 2020 to explore the influence of digital infrastructure on urban economic resilience through a difference-in-differences (DID) approach. The results are as follows: (1) Digital infrastructure improves urban economic resilience, and the influence differs by time and region. (2) Economic vitality, industrial structure upgrading, and industrial structure rationalization either moderate or mediate the impact of the digital infrastructure on economic resilience. Our findings contribute to a better understanding of how digital infrastructure and economic resilience are related.
C1 [Zhang, Jifeng; Yang, Zirui; He, Bing] Jiangsu Ocean Univ, Sch Business, Lianyungang 222005, Peoples R China.
C3 Jiangsu Ocean University
RP He, B (corresponding author), Jiangsu Ocean Univ, Sch Business, Lianyungang 222005, Peoples R China.
EM binghe@jou.edu.cn
RI HE, BING/N-7192-2014
OI He, Bing/0000-0002-0570-5419
FU Project of Haiyan by Lianyungang City [KK22006]; Research Start-up Fund
   Project by Jiangsu Ocean University [KQ19060]
FX This work was supported by the Project of Haiyan by Lianyungang City
   (KK22006) and the Research Start-up Fund Project by Jiangsu Ocean
   University (KQ19060).
CR Abidi N, 2023, TELECOMMUN POLICY, V47, DOI 10.1016/j.telpol.2023.102522
   Acemoglu D, 2019, J ECON PERSPECT, V33, P3, DOI 10.1257/jep.33.2.3
   Allam Z., 2022, Resilient and Sustainable Cities Research, Policy and Practice
   Allam Z, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105201
   Angrist JD, 2009, MOSTLY HARMLESS ECONOMETRICS: AN EMPIRICISTS COMPANION, P1
   Bacon J.A., Antifragile Urbanism, Skin in the Game, and Building What Works
   Beck T, 2010, J FINANC, V65, P1637, DOI 10.1111/j.1540-6261.2010.01589.x
   Boschma R, 2015, RES POLICY, V44, P1902, DOI 10.1016/j.respol.2015.06.013
   Briguglio L, 2009, OXF DEV STUD, V37, P229, DOI 10.1080/13600810903089893
   Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Elvidge CD, 2007, INT J REMOTE SENS, V28, P2645, DOI 10.1080/01431160600981525
   Feldstein M., 1993, NBER Working Paper 4304, DOI [10.3386/w4304, DOI 10.3386/W4304]
   Feng Y, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104273
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Genadt A, 2019, ARCHIT HIST-LONDON, V7, DOI 10.5334/ah.393
   Goldfarb A, 2019, J ECON LIT, V57, P3, DOI 10.1257/jel.20171452
   Guo A.J., 2023, Financ. Trade Res, V34, P25, DOI [10.19337/j.cnki.34-1093/f.2023.05.003, DOI 10.19337/J.CNKI.34-1093/F.2023.05.003]
   Han Y, 2017, Econ Res J, P33
   Hausmann R, 2003, J DEV ECON, V72, P603, DOI 10.1016/S0304-3878(03)00124-X
   Kovacs-Györi A, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9120752
   Kyrdoda Y, 2023, TECHNOL SOC, V74, DOI 10.1016/j.techsoc.2023.102285
   Liao HL, 2016, INF ECON POLICY, V36, P10, DOI 10.1016/j.infoecopol.2016.05.001
   Litman T, Pandemic-Resilient Community Planning: Practical Ways to Help Communities Prepare for, Respond to, and Recover from Pandemics and Other Economic, Social and Environmental Shocks
   Longo Francesco, 2023, Procedia Comput Sci, V217, P1940, DOI 10.1016/j.procs.2022.12.394
   Mao Fengfu, 2022, J. Finance & Economics Science, V8, P60
   Marshall A, 2023, J RURAL STUD, V100, DOI 10.1016/j.jrurstud.2023.03.004
   Martin R, 2006, J ECON GEOGR, V6, P395, DOI 10.1093/jeg/lbl012
   Martin R, 2019, PAP REG SCI, V98, P1801, DOI 10.1111/pirs.12430
   Martin R, 2015, CAMB J REG ECON SOC, V8, P141, DOI 10.1093/cjres/rsv012
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mehaffy M., Beyond Resilience: Toward 'Antifragile' Urbanism
   Muhammad S, 2022, ENERGY, V247, DOI 10.1016/j.energy.2022.123576
   Nathansohn R, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103969
   Perrings C, 2006, ENVIRON DEV ECON, V11, P417, DOI 10.1017/S1355770X06003020
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   ROMER PM, 1990, J POLIT ECON, V98, pS71, DOI 10.1086/261725
   Santos-Vijande ML, 2022, J INNOV KNOWL, V7, DOI 10.1016/j.jik.2022.100174
   Schade P, 2022, J BUS VENTURING, V37, DOI 10.1016/j.jbusvent.2022.106232
   Sharifi A, 2023, PROG PLANN, V173, DOI 10.1016/j.progress.2023.100740
   Slot M, 2022, Procedia CIRP, V109, P568
   Tóth BI, 2015, MISC GEOGR, V19, P70, DOI 10.1515/mgrsd-2015-0017
   Zhang K., 2022, Guizhou Soc. Sci, V12, P121, DOI [10.13713/j.cnki.cssci.2022.12.018, DOI 10.13713/J.CNKI.CSSCI.2022.12.018]
   Zhu J.H., 2021, DISCUSS MOD EC, V10, P1, DOI [10.13891/j.cnki.mer.2021.10.002, DOI 10.13891/J.CNKI.MER.2021.10.002]
NR 44
TC 14
Z9 14
U1 56
U2 170
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2023
VL 15
IS 19
AR 14289
DI 10.3390/su151914289
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 U2GN5
UT WOS:001083041500001
OA gold
DA 2025-04-22
ER

PT J
AU Parizi, SM
   Taleai, M
   Sharifi, A
AF Parizi, Sedigheh Meimandi
   Taleai, Mohammad
   Sharifi, Ayyoob
TI Integrated methods to determine urban physical resilience
   characteristics and their interactions
SO NATURAL HAZARDS
LA English
DT Article
DE Physical resilience; Urban resilience; Group decision-making;
   Earthquake; ISM; MICMAC analysis
ID ANALYTIC NETWORK PROCESS; DISASTER RESILIENCE; COMMUNITY RESILIENCE;
   SYSTEMS RESILIENCE; SOCIAL RESILIENCE; CLIMATE-CHANGE; FRAMEWORK;
   STRATEGIES; DESIGN; MODEL
AB Considering the recent and projected increases in the frequency and intensity of hazards, many cities around the world are increasingly taking efforts to build on their resilience. This study focuses on the physical resilience of cities as a relatively under-studied branch of urban resilience. Due to the considerable complexity of the resilience concept, there is still no clear and applicable definition for urban physical resilience. To make this concept more tangible, this study elaborates on the determinant characteristics of physical resilience and explores their interactions. To this end, the characteristics were extracted and conceptualized from the review of previous research, and also using the Delphi method. The Interpretive Structural Modeling and MICMAC analysis were also used to partition the characteristics, determine the driving and dependent elements, and clarify the complex concepts of physical resilience. Then, the DEMATEL method was employed to quantitatively analyze the interrelationships and interactions among the characteristics and determine the causal relationships. The results showed that 'redundancy' and 'robustness' are two key characteristics that contribute to the physical resilience of cities. Also, the characteristics were partitioned into different levels based on driving and dependence power, and the cause and effect categories of characteristics were determined based on the interactions. The results from this research can be used for resilience-based urban and spatial planning to bridge the gap between the theory of physical resilience of cities and its practical approaches. Moreover, urban planners should pay special attention to and focus on the driving elements (i.e., causes), to provide the context for the proper realization of the dependent elements (i.e., effects).
C1 [Parizi, Sedigheh Meimandi; Taleai, Mohammad] KN Toosi Univ Technol, Fac Geomat, GIS Dept, 1346 Vali Asr Ave,POB 15875-4416, Tehran, Iran.
   [Parizi, Sedigheh Meimandi] Sirjan Univ Technol, Civil Engn Dept, 1346 Vali Asr Ave,POB 15875-4416, Tehran, Iran.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Humanities & Social Sci, Network Educ & Res Peace & Sustainabil NERPS, 1-3-1 Kagamiyama, Higashihiroshima, Hiroshima 7398530, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Adv Sci & Engn, 1-3-1 Kagamiyama, Higashihiroshima, Hiroshima 7398530, Japan.
C3 K. N. Toosi University of Technology; Hiroshima University; Hiroshima
   University
RP Sharifi, A (corresponding author), Hiroshima Univ, Grad Sch Humanities & Social Sci, Network Educ & Res Peace & Sustainabil NERPS, 1-3-1 Kagamiyama, Higashihiroshima, Hiroshima 7398530, Japan.; Sharifi, A (corresponding author), Hiroshima Univ, Grad Sch Adv Sci & Engn, 1-3-1 Kagamiyama, Higashihiroshima, Hiroshima 7398530, Japan.
EM smparizi@gmail.com; Taleai@kntu.ac.ir; sharifigeomatic@gmail.com
RI Taleai, Mohammad/Q-6109-2019; Sharifi, Ayyoob/M-7584-2013
OI Taleai, Mohammad/0000-0002-8419-4425; Sharifi,
   Ayyoob/0000-0002-8983-8613
CR Abdulkareem M, 2018, INT J DISAST RISK RE, V28, P176, DOI 10.1016/j.ijdrr.2018.02.009
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahmad M, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9020233
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Al Rifat SA, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9080469
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Alizadeh H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093691
   Allan P, 2013, J URBAN DES, V18, P242, DOI 10.1080/13574809.2013.772881
   Anderies JM, 2014, BUILD RES INF, V42, P130, DOI 10.1080/09613218.2013.857455
   [Anonymous], 2015, A/CONF.224/CRP.1
   Arghandeh R, 2014, IEEE POWER ENERGY M, V12, P76, DOI 10.1109/MPE.2014.2331902
   Asadzadeh A, 2015, INT J DISAST RISK RE, V14, P504, DOI 10.1016/j.ijdrr.2015.10.002
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Ayyub BM, 2014, RISK ANAL, V34, P340, DOI 10.1111/risa.12093
   Barthel S., 2013, Principles of Social-Ecological Urbanism
   Birch E.L., 2014, CLIMATE CHANGE 2014, V2
   Bottero M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080242
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burton Christopher., 2012, The development of metrics for community resilience to natural disasters
   Chandramowli S, 2011, HABITAT INT, V35, P246, DOI 10.1016/j.habitatint.2010.09.005
   Chang B, 2011, EXPERT SYST APPL, V38, P1850, DOI 10.1016/j.eswa.2010.07.114
   Chauhan A, 2018, J AIR WASTE MANAGE, V68, P100, DOI 10.1080/10962247.2016.1249441
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Coaffee J, 2015, TOWN PLAN REV, V86, P249, DOI 10.3828/tpr.2015.16
   Cutter SL, 2013, CHALL SUSTAIN, V1, P72, DOI 10.12924/cis2013.01020072
   Cutter SL, 2013, ENVIRONMENT, V55, P25, DOI 10.1080/00139157.2013.768076
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dewangan DK, 2015, PROCD SOC BEHV, V189, P416, DOI 10.1016/j.sbspro.2015.03.200
   Eraydin A., 2013, RESILIENCE THINKING, P17, DOI DOI 10.1007/978-94-007-5476-8_2
   Eraydin Ayda., 2013, RESILIENCE THINKING
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Feliciotti A, 2016, OPEN HOUSE INT, V41, P23
   Ghasemi P, 2020, SOCIO-ECON PLAN SCI, V71, DOI 10.1016/j.seps.2019.100745
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Grafakos S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050461
   Hassler U., 2014, Resilience in the built environment
   Heinzlef C, 2019, SAFETY SCI, V118, P181, DOI 10.1016/j.ssci.2019.05.003
   Huang WJ, 2018, COMPUT ENVIRON URBAN, V71, P67, DOI 10.1016/j.compenvurbsys.2018.04.003
   Hughes L, 2015, ENERGY, V84, P443, DOI 10.1016/j.energy.2015.03.010
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kermanshah A, 2016, RELIAB ENG SYST SAFE, V153, P39, DOI 10.1016/j.ress.2016.04.007
   Kimhi S, 2004, J COMMUNITY PSYCHOL, V32, P439, DOI 10.1002/jcop.20012
   Linkov Igor, 2013, Environment Systems & Decisions, V33, P471, DOI 10.1007/s10669-013-9485-y
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Lundberg J, 2015, RELIAB ENG SYST SAFE, V141, P22, DOI 10.1016/j.ress.2015.03.013
   Ma F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072593
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Meerow S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070701
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Nazmfar H, 2019, HUM ECOL RISK ASSESS, V25, P455, DOI 10.1080/10807039.2018.1556086
   Novotny V., 2010, WATER CENTRIC SUSTAI
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Patriarca R, 2018, SAFETY SCI, V102, P79, DOI 10.1016/j.ssci.2017.10.005
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Rajesh R, 2017, TECHNOL FORECAST SOC, V118, P161, DOI 10.1016/j.techfore.2017.02.017
   Rana IA, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101839
   Salat S., 2014, NDRC MOHURD ADB INT
   Sapirstein G, 2006, JAMBA-J DISASTER RIS, V1, P54
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Sharifi A, 2015, ENRGY PROCED, V75, P2904, DOI 10.1016/j.egypro.2015.07.586
   Shaw D, 2014, GLOBAL ENVIRON CHANG, V25, P194, DOI 10.1016/j.gloenvcha.2014.01.006
   Siavash YasamanS., 2016, Achieving Urban Resilience: Through Urban Design and Planning Principles
   Spaliviero M., 2015, City Resilience Action Planning Tool
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Taleai M, 2007, INT J APPL EARTH OBS, V9, P375, DOI 10.1016/j.jag.2006.12.002
   Taleai M, 2009, J GEOGR SYST, V11, P291, DOI 10.1007/s10109-009-0089-5
   Venkatesh VG, 2015, J RETAIL CONSUM SERV, V26, P153, DOI 10.1016/j.jretconser.2015.06.001
   Verrucci E, 2012, P 15 WORLD C EARTHQ
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   WARFIELD JN, 1973, IEEE T SYST MAN CYB, VSMC3, P441, DOI 10.1109/TSMC.1973.4309270
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Wu WW, 2008, EXPERT SYST APPL, V35, P828, DOI 10.1016/j.eswa.2007.07.025
   Xu M, 2010, INT J REMOTE SENS, V31, P3521, DOI 10.1080/01431161003727689
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
NR 84
TC 20
Z9 21
U1 10
U2 98
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 2021
VL 109
IS 1
BP 725
EP 754
DI 10.1007/s11069-021-04855-x
EA JUN 2021
PG 30
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 UU4PB
UT WOS:000663476600001
DA 2025-04-22
ER

PT J
AU Yang, JN
   Zhou, KL
AF Yang, Jingna
   Zhou, Kaile
TI The impact of trans-regional power transmission on urban energy system
   resilience in China
SO ENERGY
LA English
DT Article
DE trans-regional power transmission; urban energy system resilience;
   ultra-high voltage
ID CITIES
AB Few studies have explored the impact of trans-regional power transmission on urban energy system resilience. In this study, a time-varying difference-in-differences (DID) model was used to evaluate the impacts of transregional power transmission on the urban energy system resilience. The results show that the impact of transregional transmission on the resilience of urban energy systems is heterogeneous. Specifically, for the northern region, which is dominated by thermal power generation and output, trans-regional power transmission contributes to enhance the urban energy systems resilience. However, for southwestern regions, trans-regional power transmission has damaged the urban energy systems resilience. This conclusion remains valid after a series of robustness tests. This suggests that trans-regional power transmission may bring inequalities in regional energy utilization. Therefore, the economic compensation to power exporting regions should be increased. In the context of rapid industrial development, the active development of renewable energy and the expansion of power input channels in the western region are recommended. In addition, all cities should be encouraged to develop microgrids to improve the ability of urban energy systems to absorb risks.
C1 [Yang, Jingna; Zhou, Kaile] Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China.
   [Yang, Jingna; Zhou, Kaile] Hefei Univ Technol, Anhui Prov Key Lab Philosophy & Social Sci Smart M, Hefei 230009, Peoples R China.
   [Zhou, Kaile] Hefei Univ Technol, Key Lab Proc Optimizat & Intelligent Decis Making, Minist Educ, Hefei 230009, Peoples R China.
C3 Hefei University of Technology; Hefei University of Technology; Hefei
   University of Technology
RP Zhou, KL (corresponding author), Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China.
EM zhoukaile@hfut.edu.cn
RI Zhou, Kaile/AAR-7395-2020
FU National Natural Science Foundation
FX This work is supported by the National Natural Science Foundation
CR Ala A, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104709
   Basu S, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.05.027
   Beck T, 2010, J FINANC, V65, P1637, DOI 10.1111/j.1540-6261.2010.01589.x
   Blundell R., 2000, Fiscal Studies, V21, P427, DOI [DOI 10.1111/J.1475-5890.2000.TB00031.X, 10.1111/j.1475-5890.2000.tb00031.x]
   Brown PR, 2021, JOULE, V5, P115, DOI 10.1016/j.joule.2020.11.013
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Chen C, 2024, TECHNOL FORECAST SOC, V201, DOI 10.1016/j.techfore.2024.123264
   Chen GF, 2024, ENERG ECON, V131, DOI 10.1016/j.eneco.2024.107417
   Chen RD, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107129
   Chen W, 2018, SUSTAIN CITIES SOC, V37, P232, DOI 10.1016/j.scs.2017.11.019
   China Network, 2022, Sichuan, mainly hydroelectric power generation, why the shortage of electricity? Sichuan power supply situation is serious
   Deng X, 2022, ENERG POLICY, V170, DOI 10.1016/j.enpol.2022.113219
   DIAKOULAKI D, 1995, COMPUT OPER RES, V22, P763, DOI 10.1016/0305-0548(94)00059-H
   Du XL, 2024, SUSTAIN CITIES SOC, V103, DOI 10.1016/j.scs.2024.105271
   Fan WR, 2023, SUSTAIN PROD CONSUMP, V39, P191, DOI 10.1016/j.spc.2023.05.015
   Few S, 2024, NAT ENERGY, V9, P871, DOI 10.1038/s41560-024-01542-6
   Ge ZW, 2023, ENERG POLICY, V173, DOI 10.1016/j.enpol.2022.113404
   Ghimire A, 2024, TECHNOL FORECAST SOC, V198, DOI 10.1016/j.techfore.2023.122987
   Han GL, 2023, ENVIRON SCI TECHNOL, V57, P8289, DOI 10.1021/acs.est.2c08925
   Hao N, 2024, CITIES, V150, DOI 10.1016/j.cities.2024.105082
   Hu YA, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14590
   Huang JR, 2024, SUSTAIN CITIES SOC, V107, DOI 10.1016/j.scs.2024.105380
   Jafar HT, 2024, RENEW SUST ENERG REV, V195, DOI 10.1016/j.rser.2024.114316
   Jia ZJ, 2023, ENERG ECON, V119, DOI 10.1016/j.eneco.2023.106544
   Kuang B, 2024, APPL ENERG, V363, DOI 10.1016/j.apenergy.2024.123051
   Li JL, 2017, ENVIRON IMPACT ASSES, V66, P151, DOI 10.1016/j.eiar.2017.07.002
   Li JH, 2022, INT J ELEC POWER, V143, DOI 10.1016/j.ijepes.2022.108453
   Li N, 2018, APPL ENERG, V222, P267, DOI 10.1016/j.apenergy.2018.03.103
   Li Y, 2016, APPL ENERG, V183, P853, DOI 10.1016/j.apenergy.2016.09.006
   Li Y, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.124296
   Liu EN, 2021, SOCIO-ECON PLAN SCI, V77, DOI 10.1016/j.seps.2021.101022
   Liu HL, 2019, APPL ENERG, V239, P1308, DOI 10.1016/j.apenergy.2019.02.009
   Lv BY, 2024, J HYDROL, V631, DOI 10.1016/j.jhydrol.2024.130827
   Lyu W, 2024, INT J ELEC POWER, V156, DOI 10.1016/j.ijepes.2023.109773
   Montoya-Rincon JP, 2023, NAT ENERGY, V8, P1002, DOI 10.1038/s41560-023-01315-7
   Moslehi S, 2018, APPL ENERG, V228, P487, DOI 10.1016/j.apenergy.2018.06.075
   Peng C, 2021, ENERGY, V234, DOI 10.1016/j.energy.2021.121314
   Peng W, 2018, NAT SUSTAIN, V1, P693, DOI 10.1038/s41893-018-0174-1
   Qiu S, 2021, ENERGY, V234, DOI 10.1016/j.energy.2021.121193
   Shan YL, 2021, ONE EARTH, V4, P124, DOI 10.1016/j.oneear.2020.12.004
   Sridharan V, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08275-7
   Stuermer J, 2024, NAT ENERGY, V9, P526, DOI 10.1038/s41560-023-01434-1
   Tan X, 2022, CLIM CHANG ECON, V13, DOI 10.1142/S201000782240005X
   Tan X, 2020, J CLEAN PROD, V269, DOI 10.1016/j.jclepro.2020.122370
   The Paper, From "to build or not to build"to "enough or not enough", the controversy over UHV has not ended for two decades 2023
   Wang D, 2024, CITIES, V153, DOI 10.1016/j.cities.2024.105316
   Wang H, 2023, ENERG ECON, V123, DOI 10.1016/j.eneco.2023.106751
   Wang LH, 2023, ENERGY, V283, DOI 10.1016/j.energy.2023.129048
   Wang XL, 2024, ENERGY, V290, DOI 10.1016/j.energy.2023.130202
   Wang Y, 2022, CARBON NEUTRALITY, V1, DOI 10.1007/s43979-022-00020-w
   Wang YJ, 2023, NATURE, V619, P761, DOI 10.1038/s41586-023-06180-8
   Wang YP, 2024, ENERG POLICY, V184, DOI 10.1016/j.enpol.2023.113915
   Wang YQ, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118430
   Wei WD, 2021, NAT SUSTAIN, V4, P739, DOI 10.1038/s41893-021-00704-8
   Wei WD, 2020, J ENVIRON MANAGE, V263, DOI 10.1016/j.jenvman.2020.110390
   Wu J, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103469
   Wu MR, 2024, J CLEAN PROD, V449, DOI 10.1016/j.jclepro.2024.141818
   Xu Z, 2021, ENERG POLICY, V155, DOI 10.1016/j.enpol.2021.112296
   Yalew SG, 2020, NAT ENERGY, V5, P794, DOI 10.1038/s41560-020-0664-z
   Yang F, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.142384
   Yang HZ, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-43723-z
   Yang YS, 2024, ENERG POLICY, V189, DOI 10.1016/j.enpol.2024.114088
   Yi BW, 2020, SCI TOTAL ENVIRON, V702, DOI 10.1016/j.scitotenv.2019.134705
   Yi BW, 2016, APPL ENERG, V184, P641, DOI 10.1016/j.apenergy.2016.11.021
   Yi BW, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.104815
   Yu SW, 2022, INT J ELEC POWER, V135, DOI 10.1016/j.ijepes.2021.107507
   Zeng M, 2016, RENEW SUST ENERG REV, V66, P572, DOI 10.1016/j.rser.2016.08.023
   Zhang C, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118336
   Zhang K, 2023, RESOUR CONSERV RECY, V189, DOI 10.1016/j.resconrec.2022.106773
   Zhang P, 2024, SUSTAIN CITIES SOC, V108, DOI 10.1016/j.scs.2024.105462
   Zhang Q, 2020, APPL ENERG, V279, DOI 10.1016/j.apenergy.2020.115571
   Zhou DQ, 2023, COMPUT IND ENG, V183, DOI 10.1016/j.cie.2023.109553
   Zhou SY, 2023, RENEW ENERG, V212, P818, DOI 10.1016/j.renene.2023.05.092
   Zhou XX, 2010, ENERGY, V35, P4302, DOI 10.1016/j.energy.2009.04.016
NR 74
TC 0
Z9 0
U1 6
U2 6
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 MAY 1
PY 2025
VL 322
AR 135555
DI 10.1016/j.energy.2025.135555
PG 10
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels
GA 0LC1T
UT WOS:001449936800001
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 A comprehensive review of resilience of urban metro systems: A
   perspective from earthquake engineering
SO TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
LA English
DT Article
DE Metro system; Seismic resilience; Functionality; Recovery; Resilience
   enhancement
ID SHAKING-TABLE TEST; RAIL TRANSIT NETWORKS; TRACK-BRIDGE INTERACTION;
   HIGH-SPEED RAILWAY; SUBWAY STATION; UNDERGROUND STRUCTURES; SEISMIC
   PERFORMANCE; VULNERABILITY ANALYSIS; EMERGENCY RESPONSE; BASE-ISOLATION
AB The paper presents a systematic review of the research advancements on the resilience of urban metro systems from the perspective of earthquake engineering. The review covers the concepts, indicators, and assessment methods of seismic resilience of urban metro systems. Four key aspects of seismic resilience of urban metro systems are reviewed, i.e., seismic damage analysis, post-earthquake functionality assessment, post-earthquake recovery assessment, and seismic resilience enhancement. The seismic damage mechanisms and seismic fragility of metro components are summarized, which are essential foundations for seismic resilience assessment. The post-earthquake functionality assessment methods of metro components and systems are then introduced, emphasizing the importance of reasonable quantification of functionality and consideration of functional interdependencies. Subsequently, examples of post-earthquake recovery of urban metro systems and postearthquake recovery assessment methods are discussed, where the purpose of recovery assessment is to make decisions on recovery schedules to achieve more efficient post-earthquake recovery. The ultimate goal of seismic resilience assessment is to develop effective methods or strategies to ensure and enhance the functionality of urban metro systems, achieving an improvement in seismic resilience. This review summarizes the current state of research and the trends in development, providing directions for future studies on the quantitative seismic resilience analysis of urban metro systems.
C1 [Hu, Jie; Zhai, Changhai; Pei, Shunshun] Harbin Inst Technol, Minist Educ, Key Lab Struct Dynam Behav & Control, Harbin 150090, Peoples R China.
   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 Hu, Jie/ABD-6364-2021; Pei, Shunshun/IYJ-0085-2023
FU National Key R & D Program of China [2023YFC3805100]; National Natural
   Science Foundation of China [52222811, 52178469]; Fundamental Research
   Funds for the Central Universities [2024030]
FX This investigation is supported by the National Key R & D Program of
   China (No. 2023YFC3805100) , the National Natural Science Foundation of
   China (No. 52222811 and 52178469) , the Fundamental Research Funds for
   the Central Universities (No. HIT.OCEF. 2024030) . These supports are
   greatly appreciated.
CR Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   Agency F.F. E. M., 2004, Multi-Hazard Loss Estimation Methodology?Earthquake Model: HAZUS MR4 Technical Manual
   Albert R, 1999, NATURE, V401, P130, DOI 10.1038/43601
   Alessandri S, 2015, ENG STRUCT, V98, P263, DOI 10.1016/j.engstruct.2015.03.031
   Alessandri S, 2015, ENG STRUCT, V98, P251, DOI 10.1016/j.engstruct.2015.03.032
   Almoghathawi Y, 2019, COMPUT IND ENG, V133, P153, DOI 10.1016/j.cie.2019.05.001
   An JH, 2021, SOIL DYN EARTHQ ENG, V147, DOI 10.1016/j.soildyn.2021.106621
   An XH, 1997, CEMENT CONCRETE COMP, V19, P241, DOI 10.1016/S0958-9465(97)00014-0
   [Anonymous], 2012, Seismic Performance Assessment of Buildings, Volume 2- Implementation Guide, FEMA P-58-2, V2
   [Anonymous], 2012, Seismic Performance Assessment of Buildings, Volume 1 - Methodology, FEMA P-58-1, V1
   Ansari A, 2023, GEOTECH GEOL ENG, V41, P1371, DOI 10.1007/s10706-022-02341-0
   Argyroudis SA, 2012, SOIL DYN EARTHQ ENG, V35, P1, DOI 10.1016/j.soildyn.2011.11.004
   Argyroudis S, 2017, SOIL DYN EARTHQ ENG, V98, P244, DOI 10.1016/j.soildyn.2017.04.016
   Atrachali M, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101231
   Attari NKA, 2022, STRUCTURES, V38, P704, DOI 10.1016/j.istruc.2022.02.017
   Ayyub BM, 2014, RISK ANAL, V34, P340, DOI 10.1111/risa.12093
   Bao XH, 2017, TUNN UNDERGR SP TECH, V66, P91, DOI 10.1016/j.tust.2017.04.005
   Bellè A, 2022, RELIAB ENG SYST SAFE, V217, DOI 10.1016/j.ress.2021.108091
   Biondini F, 2015, EARTHQ ENG STRUCT D, V44, P2445, DOI 10.1002/eqe.2591
   Broere W, 2016, TUNN UNDERGR SP TECH, V55, P245, DOI 10.1016/j.tust.2015.11.012
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Bruyelle JL, 2014, SAFETY SCI, V62, P37, DOI 10.1016/j.ssci.2013.07.022
   Cai H, 2017, J URBAN PLAN DEV, V143, DOI 10.1061/(ASCE)UP.1943-5444.0000368
   CAMET, 2024, Statistical data
   Cao LC, 2021, J VIB CONTROL, V27, P1979, DOI 10.1177/1077546320951380
   Capacci Luca., 2022, Resilient Cities and Structures, V1, P23, DOI DOI 10.1016/J.RCNS.2022.05.001
   Chan HY, 2021, J TRANSP GEOGR, V91, DOI 10.1016/j.jtrangeo.2020.102945
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Che Osmi S. K., 2016, World Acad. Sci. Eng. Technol. Int. J. Civil Environ. Eng, V10
   Yin HC, 2022, ADV CIV ENG, V2022, DOI 10.1155/2022/7668214
   Chen Guo-xing, 2010, Journal of Zhejiang University, V44, P1955, DOI 10.3785/j.issn.1008-973X.2010.10.019
   Chen GX, 2015, B EARTHQ ENG, V13, P1675, DOI 10.1007/s10518-014-9675-0
   Chen GX, 2013, EARTHQ ENG STRUCT D, V42, P1489, DOI 10.1002/eqe.2283
   Chen HY, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104823
   Chen HY, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103329
   Chen HY, 2021, INT J DISAST RISK RE, V54, DOI 10.1016/j.ijdrr.2020.102033
   Chen JN, 2023, TUNN UNDERGR SP TECH, V138, DOI 10.1016/j.tust.2023.105183
   Chen JN, 2023, ENG STRUCT, V290, DOI 10.1016/j.engstruct.2023.116364
   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 JF, 2021, SAFETY SCI, V142, DOI 10.1016/j.ssci.2021.105392
   Chen K, 2019, COMPUT GEOTECH, V108, P280, DOI 10.1016/j.compgeo.2018.12.030
   Chen LK, 2021, VEHICLE SYST DYN, V59, P949, DOI 10.1080/00423114.2020.1739316
   Chen QJ, 2023, STRUCT CONTROL HLTH, V2023, DOI 10.1155/2023/1349363
   Chen RP, 2023, TUNN UNDERGR SP TECH, V135, DOI 10.1016/j.tust.2023.105061
   Chen S, 2020, SOIL DYN EARTHQ ENG, V136, DOI 10.1016/j.soildyn.2020.106153
   Chen S, 2019, SOIL DYN EARTHQ ENG, V123, P173, DOI 10.1016/j.soildyn.2019.04.023
   Chen WY, 2021, RELIAB ENG SYST SAFE, V215, DOI 10.1016/j.ress.2021.107833
   Chen XS, 2023, TUNN UNDERGR SP TECH, V136, DOI 10.1016/j.tust.2023.105075
   Chen X, 2023, TUNN UNDERGR SP TECH, V134, DOI 10.1016/j.tust.2023.105012
   Chen YM, 2020, J BUILD ENG, V29, DOI 10.1016/j.jobe.2019.101163
   Chen ZY, 2019, ADV STRUCT ENG, V22, P2809, DOI 10.1177/1369433219852043
   Chen ZY, 2018, SOIL DYN EARTHQ ENG, V109, P173, DOI 10.1016/j.soildyn.2018.03.002
   Chen ZY, 2016, SOIL DYN EARTHQ ENG, V82, P111, DOI 10.1016/j.soildyn.2015.12.002
   Chian SC, 2014, J GEOTECH GEOENVIRON, V140, DOI 10.1061/(ASCE)GT.1943-5606.0001159
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   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
   Committee on Resuming Railway Operations in the Greater Tokyo Area in the Event of a Large-scale Earthquake Earthquake C.o.R.R.O.i.t.G.T.A.i.t.E.o.a.L.-s, 2012, Report of the Committee on the Resumption of Railway Operations in the Greater Tokyo Area in the Event of a Large-scale Earthquake
   Consultative Committee on the Resumption of Railway Services in the Tokyo Metropolitan Area in the Event of a Large-scale Earthquake, 2012, Report of the Consultative Committee on the Resumption of Railway Services in the Tokyo Metropolitan Area in the Event of a Large-scale Earthquake
   Deloukas A, 2017, TRANSP RES PROC, V24, P459, DOI 10.1016/j.trpro.2017.05.082
   Deng YL, 2015, SAFETY SCI, V80, P127, DOI 10.1016/j.ssci.2015.07.019
   Diab E, 2020, INT J SUSTAIN TRANSP, V14, P657, DOI 10.1080/15568318.2019.1600174
   Dong ZF, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.869965
   Du A, 2023, RELIAB ENG SYST SAFE, V233, DOI 10.1016/j.ress.2023.109104
   Du F, 2017, GEOTECH SP, P247
   [杜修力 Du Xiuli], 2018, [岩土工程学报, Chinese Journal of Geotechnical Engineering], V40, P223
   Nguyen DD, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9163207
   Nguyen DD, 2019, TUNN UNDERGR SP TECH, V86, P247, DOI 10.1016/j.tust.2019.01.021
   Federal Emergency Management Agency, 2020, HAZUS 4.2 SP3: HAZUS earthquake model technical manual
   Frankie T.M., 2013, Impact of complex system behavior on seismic assessment of RC bridges, P418
   FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
   French EL, 2019, INT J DISAST RISK RE, V34, P1, DOI 10.1016/j.ijdrr.2018.11.001
   Furtado A, 2020, CONSTR BUILD MATER, V263, DOI 10.1016/j.conbuildmat.2020.120520
   Goldbeck N, 2019, RELIAB ENG SYST SAFE, V188, P62, DOI 10.1016/j.ress.2019.03.007
   Guo WW, 2012, COMPUT STRUCT, V112, P205, DOI 10.1016/j.compstruc.2012.09.001
   Guo W, 2022, SOIL DYN EARTHQ ENG, V161, DOI 10.1016/j.soildyn.2022.107416
   Guo W, 2023, J EARTHQ ENG, V27, P284, DOI 10.1080/13632469.2021.1999869
   Guo W, 2020, ENG STRUCT, V211, DOI 10.1016/j.engstruct.2020.110453
   Guo W, 2020, INT J STRUCT STAB DY, V20, DOI 10.1142/S021945542050011X
   He ZM, 2021, TUNN UNDERGR SP TECH, V108, DOI 10.1016/j.tust.2020.103727
   He ZM, 2019, ADV CIV ENG, V2019, DOI 10.1155/2019/9650294
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu J., 2024, Reliab. Eng. Syst, Saf.
   Hu J, 2024, ENG STRUCT, V300, DOI 10.1016/j.engstruct.2023.117214
   Hu J, 2024, RELIAB ENG SYST SAFE, V241, DOI 10.1016/j.ress.2023.109641
   Hu XR, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030892
   Huang G, 2017, SOIL DYN EARTHQ ENG, V102, P160, DOI 10.1016/j.soildyn.2017.09.002
   Huang H., 2022, Resilient Cities and Structures, V1, P76, DOI DOI 10.1016/J.RCNS.2022.07.003
   Huang PF, 2023, UNDERGR SPACE, V11, P63, DOI 10.1016/j.undsp.2022.10.009
   Huang PF, 2023, INT J COMP METH-SING, V20, DOI 10.1142/S0219876221430179
   Huang PF, 2021, ENG STRUCT, V244, DOI 10.1016/j.engstruct.2021.112735
   Huang PF, 2022, J EARTHQ ENG, V26, P6724, DOI 10.1080/13632469.2021.1927909
   Huang Y, 2024, INT J STRUCT STAB DY, V24, DOI 10.1142/S0219455424500561
   Huang ZK, 2021, SOIL DYN EARTHQ ENG, V145, DOI 10.1016/j.soildyn.2021.106724
   Huang ZK, 2020, TUNN UNDERGR SP TECH, V98, DOI 10.1016/j.tust.2020.103341
   Huang ZK, 2022, SOIL DYN EARTHQ ENG, V162, DOI 10.1016/j.soildyn.2022.107456
   Huang ZK, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12094728
   Huang ZK, 2022, ASCE-ASME J RISK U A, V8, DOI 10.1061/AJRUA6.0001251
   Huang ZK, 2022, UNDERGR SPACE, V7, P242, DOI 10.1016/j.undsp.2021.07.007
   Huo H, 2005, J GEOTECH GEOENVIRON, V131, P1522, DOI 10.1061/(ASCE)1090-0241(2005)131:12(1522)
   Hur J, 2012, Seismic Performance Evaluation of Switch Board Cabinets Using Nonlinear Numerical Models
   Iida H., 1996, SOILS FOUND, P283, DOI [10.3208/sandf.36.Special283, DOI 10.3208/SANDF.36.SPECIAL283, 10.3208/sandf.36.Special-283, DOI 10.3208/SANDF.36.SPECIAL-283]
   Iwatate T., 1996, Comprehensive Urban Research, P25
   Ji K., 2021, SPIE, P1171
   Jiang JW, 2023, TUNN UNDERGR SP TECH, V135, DOI 10.1016/j.tust.2023.105057
   Jiang JW, 2023, TUNN UNDERGR SP TECH, V135, DOI 10.1016/j.tust.2023.105059
   Jiang JW, 2023, SOIL DYN EARTHQ ENG, V165, DOI 10.1016/j.soildyn.2022.107705
   Jiang JW, 2022, SOIL DYN EARTHQ ENG, V162, DOI 10.1016/j.soildyn.2022.107479
   Jiang JW, 2021, SOIL DYN EARTHQ ENG, V143, DOI 10.1016/j.soildyn.2021.106618
   Jiang LZ, 2019, ENG STRUCT, V180, P249, DOI 10.1016/j.engstruct.2018.11.047
   Jiao LD, 2023, NAT HAZARDS, V116, P2311, DOI 10.1007/s11069-022-05765-2
   Jiao LD, 2021, LAND-BASEL, V10, DOI 10.3390/land10121298
   Jin LG, 2023, TUNN UNDERGR SP TECH, V139, DOI 10.1016/j.tust.2023.105119
   jin park yea, 2018, [Journal of The Korean Society of Hazard Mitigation, 한국방재학회논문집], V18, P39, DOI 10.9798/KOSHAM.2018.18.2.39
   Jing WW, 2020, RELIAB ENG SYST SAFE, V204, DOI 10.1016/j.ress.2020.107204
   Johansson J, 2010, RELIAB ENG SYST SAFE, V95, P1335, DOI 10.1016/j.ress.2010.06.010
   Jun SC, 2022, J EARTHQ ENG, V26, P4833, DOI 10.1080/13632469.2020.1845876
   Kafali C., 2005, ICOSSAR 05 P 9 INT C
   Kang X, 2017, ENG STRUCT, V152, P116, DOI 10.1016/j.engstruct.2017.08.057
   Kiani M, 2016, SOIL DYN EARTHQ ENG, V89, P28, DOI 10.1016/j.soildyn.2016.07.012
   King D, 2020, J TRANSP SAF SECUR, V12, P924, DOI 10.1080/19439962.2018.1556229
   Kishi N, 2021, J ENG MECH, V147, DOI 10.1061/(ASCE)EM.1943-7889.0001895
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Li JJ, 2021, SOIL DYN EARTHQ ENG, V147, DOI 10.1016/j.soildyn.2021.106772
   Li M, 2019, IEEE ACCESS, V7, P71221, DOI 10.1109/ACCESS.2019.2919105
   Li QM, 2016, SAFETY SCI, V84, P171, DOI 10.1016/j.ssci.2015.12.003
   Li SJ, 2019, J ENVIRON ECON MANAG, V96, P213, DOI 10.1016/j.jeem.2019.05.005
   Li WT, 2020, TUNN UNDERGR SP TECH, V99, DOI 10.1016/j.tust.2020.103351
   Li XL, 2022, INT J DISAST RISK RE, V76, DOI 10.1016/j.ijdrr.2022.103019
   Li YF, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13071827
   Li YT, 2021, KSCE J CIV ENG, V25, P1732, DOI 10.1007/s12205-021-0634-4
   Liang JL, 2022, EUR J ENVIRON CIV EN, V26, P3101, DOI 10.1080/19648189.2020.1791963
   Liberatore L, 2018, ENG STRUCT, V167, P533, DOI 10.1016/j.engstruct.2018.04.057
   Lin G., 2009, Modern Tunnelling Technology, V46, P36
   Liu B, 2023, COMMUN TRANSP RES, V3, DOI 10.1016/j.commtr.2023.100098
   Liu C, 2022, EARTHQ ENG STRUCT D, V51, P2771, DOI 10.1002/eqe.3701
   Liu D, 2022, SOIL DYN EARTHQ ENG, V162, DOI 10.1016/j.soildyn.2022.107511
   Liu HB, 2005, COMPUT GEOTECH, V32, P223, DOI 10.1016/j.compgeo.2005.02.002
   Liu HQ, 2021, TRANSP GEOTECH, V26, DOI 10.1016/j.trgeo.2020.100453
   Liu HT, 2020, ENG STRUCT, V219, DOI 10.1016/j.engstruct.2020.110970
   Liu J, 2023, J BUILD ENG, V72, DOI 10.1016/j.jobe.2023.106635
   Liu LJ, 2020, MATH BIOSCI ENG, V17, P7302, DOI 10.3934/mbe.2020374
   Liu LL, 2022, SOIL DYN EARTHQ ENG, V161, DOI 10.1016/j.soildyn.2022.107432
   Liu N, 2018, GEOMECH ENG, V15, P775, DOI 10.12989/gae.2018.15.2.775
   Liu NN, 2017, SOIL DYN EARTHQ ENG, V100, P410, DOI 10.1016/j.soildyn.2017.06.018
   Liu S, 2022, IEEE T INTELL TRANSP, V23, P5740, DOI 10.1109/TITS.2021.3057404
   Liu T, 2017, ADV STRUCT ENG, V20, P1111, DOI 10.1177/1369433216671319
   Liu ZL, 2023, ENG STRUCT, V289, DOI 10.1016/j.engstruct.2023.116238
   Liu ZQ, 2020, TUNN UNDERGR SP TECH, V98, DOI 10.1016/j.tust.2020.103328
   Long XH, 2023, SOIL DYN EARTHQ ENG, V164, DOI 10.1016/j.soildyn.2022.107608
   Lu CC, 2019, TUNN UNDERGR SP TECH, V87, P78, DOI 10.1016/j.tust.2019.02.007
   Lu DC, 2020, SOIL DYN EARTHQ ENG, V131, DOI 10.1016/j.soildyn.2019.106011
   Lu QC, 2018, TRANSPORT RES A-POL, V117, P227, DOI 10.1016/j.tra.2018.08.015
   Lu Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166380
   Luo Z, 2021, ENG STRUCT, V232, DOI 10.1016/j.engstruct.2020.111830
   Lv ML, 2015, INT J MOD PHYS C, V26, DOI 10.1142/S0129183115501168
   Ma C, 2024, SOIL DYN EARTHQ ENG, V178, DOI 10.1016/j.soildyn.2023.108437
   Ma C, 2023, TUNN UNDERGR SP TECH, V142, DOI 10.1016/j.tust.2023.105435
   Ma C, 2021, SOIL DYN EARTHQ ENG, V149, DOI 10.1016/j.soildyn.2021.106851
   [马超 Ma Chao], 2020, [岩土工程学报, Chinese Journal of Geotechnical Engineering], V42, P2249
   Ma C, 2019, SOIL DYN EARTHQ ENG, V119, P265, DOI 10.1016/j.soildyn.2019.01.017
   Ma C, 2018, TUNN UNDERGR SP TECH, V74, P1, DOI 10.1016/j.tust.2018.01.007
   Ma Z, 2022, TRANSPORT POLICY, V129, P38, DOI 10.1016/j.tranpol.2022.10.003
   Maison BF, 2020, EARTHQ SPECTRA, V36, P1623, DOI 10.1177/8755293020919437
   Mani D., 2024, List of metro systems
   Martello MV, 2021, TRANSPORT RES D-TR E, V97, DOI 10.1016/j.trd.2021.102908
   Martinez E, 2018, INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2018: PLANNING, SUSTAINABILITY, AND INFRASTRUCTURE SYSTEMS, P223
   McDaniels T, 2007, J INFRASTRUCT SYST, V13, P175, DOI 10.1061/(ASCE)1076-0342(2007)13:3(175)
   Miao Y, 2018, TUNN UNDERGR SP TECH, V77, P216, DOI 10.1016/j.tust.2018.04.006
   Misra S, 2019, J BRIDGE ENG, V24, DOI 10.1061/(ASCE)BE.1943-5592.0001485
   Montenegro PA, 2016, EARTHQ ENG STRUCT D, V45, P483, DOI 10.1002/eqe.2673
   Nabian M.A., 2018, TRANSPORTATION RES B, P1
   Nabian MA, 2018, COMPUT-AIDED CIV INF, V33, P443, DOI 10.1111/mice.12359
   Newman MEJ, 2006, PHYS REV E, V74, DOI 10.1103/PhysRevE.74.036104
   Nguyen V, 2023, STRUCT INFRASTRUCT E, DOI 10.1080/15732479.2023.2266709
   Nguyen VQ, 2023, STRUCTURES, V50, P1584, DOI 10.1016/j.istruc.2023.02.092
   Nguyen V, 2022, TRANSP GEOTECH, V37, DOI 10.1016/j.trgeo.2022.100878
   Nie TY, 2016, PHYSICA A, V453, P290, DOI 10.1016/j.physa.2016.02.009
   Osaka-Subway, 2018, [Osaka Northern EarthquakeJune 2018] Summary of Damage in Osaka Metro and Kita-Osaka Kyuko
   Page Lawrence., 1998, P 7 INT WORLD WIDE W
   Pakbaz MC, 2005, TUNN UNDERGR SP TECH, V20, P411, DOI 10.1016/j.tust.2005.01.006
   Patil M, 2018, TUNN UNDERGR SP TECH, V82, P30, DOI 10.1016/j.tust.2018.04.040
   Pei SS, 2024, TRANSPORT RES D-TR E, V128, DOI 10.1016/j.trd.2024.104090
   Philpot R, 2022, ENVIRON BEHAV, V54, P383, DOI 10.1177/00139165211031193
   Pitilakis K., 2014, SYNER-G: Typology definition and fragility functions for physical elements at seismic risk
   Porter K, 2016, EARTHQ ENG STRUCT D, V45, P819, DOI 10.1002/eqe.2689
   Pudasaini B, 2020, COMPUT-AIDED CIV INF, V35, P1101, DOI 10.1111/mice.12566
   Qi LJ, 2020, EARTHQ ENG STRUCT D, V49, P772, DOI 10.1002/eqe.3264
   Qi QJ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811555
   Qin JW, 2020, CASE STUD THERM ENG, V21, DOI 10.1016/j.csite.2020.100677
   Qiu YJ, 2021, SOIL DYN EARTHQ ENG, V150, DOI 10.1016/j.soildyn.2021.106896
   Rai D., 2021, 17 WORLD C EARTHQ EN
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Román-De La Sancha A, 2019, SOIL DYN EARTHQ ENG, V125, DOI 10.1016/j.soildyn.2019.105707
   Rustogi S, 2004, J STRUCT ENG, V130, P511, DOI 10.1061/(ASCE)0733-9445(2004)130:3(511)
   Saadat Y, 2020, ASCE-ASME J RISK U A, V6, DOI 10.1061/AJRUA6.0001057
   Saadat Y, 2019, ASCE-ASME J RISK U B, V5, DOI 10.1115/1.4044038
   SABIDUSSI G, 1966, PSYCHOMETRIKA, V31, P581, DOI 10.1007/BF02289527
   Sakai K., 2012, Undergr Space Symp Pap Rep, V17, P1
   Sarrazin M, 2013, SOIL DYN EARTHQ ENG, V47, P117, DOI 10.1016/j.soildyn.2012.06.019
   Sato, 1997, Disaster recovery record of the Daikai Station on the Tozai Line of the Kobe Rapid Transit Railway
   Sayed MA, 2019, SOIL DYN EARTHQ ENG, V125, DOI 10.1016/j.soildyn.2019.04.017
   Shen YY, 2023, TUNN UNDERGR SP TECH, V140, DOI 10.1016/j.tust.2023.105322
   Shen YY, 2022, COMPUT GEOTECH, V152, DOI 10.1016/j.compgeo.2022.105015
   Shi YD, 2014, EARTHQ ENG STRUCT D, V43, P1683, DOI 10.1002/eqe.2417
   Sousa L, 2018, ENG STRUCT, V161, P8, DOI 10.1016/j.engstruct.2018.01.028
   Stern RE, 2017, RELIAB ENG SYST SAFE, V164, P1, DOI 10.1016/j.ress.2017.01.021
   Sun D, 2015, SUSTAINABILITY-BASEL, V7, P6919, DOI 10.3390/su7066919
   Sun QQ, 2019, SOIL DYN EARTHQ ENG, V126, DOI 10.1016/j.soildyn.2019.105808
   Tang JQ, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107715
   Tang YJ, 2023, ENG STRUCT, V287, DOI 10.1016/j.engstruct.2023.116187
   Tang YC, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103037
   Tao LJ, 2020, TUNN UNDERGR SP TECH, V105, DOI 10.1016/j.tust.2020.103583
   Tao LJ, 2019, TUNN UNDERGR SP TECH, V91, DOI 10.1016/j.tust.2019.102994
   Thai Son Le, 2015, Applied Mechanics and Materials, V775, P274, DOI 10.4028/www.scientific.net/AMM.775.274
   Tokyo Inland Earthquake Countermeasures Council for People Struggling to Return Home, 2012, Reference material for the final report of the council for measures to deal with people unable to return home after the Tokyo Inland Earthquake
   Nguyen VQ, 2020, ENG STRUCT, V206, DOI 10.1016/j.engstruct.2020.110180
   Wang JN, 2022, J EARTHQ ENG, V26, P8446, DOI 10.1080/13632469.2021.1991523
   Wang JN, 2019, TUNN UNDERGR SP TECH, V91, DOI 10.1016/j.tust.2019.05.018
   Wang JJ, 2023, TRANSPORT POLICY, V140, P54, DOI 10.1016/j.tranpol.2023.06.016
   Wang LJ, 2023, TUNN UNDERGR SP TECH, V133, DOI 10.1016/j.tust.2022.104953
   Wang Q, 2021, TUNN UNDERGR SP TECH, V112, DOI 10.1016/j.tust.2021.103937
   Wang SJ, 2017, J EARTHQ ENG, V21, P439, DOI 10.1080/13632469.2016.1172374
   Wang YC, 2021, TUNN UNDERGR SP TECH, V116, DOI 10.1016/j.tust.2021.104085
   Wang Y, 2023, ENG STRUCT, V275, DOI 10.1016/j.engstruct.2022.115208
   Wei KL, 2022, STRUCTURES, V42, P255, DOI 10.1016/j.istruc.2022.06.017
   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
   Wen WP, 2019, SOIL DYN EARTHQ ENG, V116, P43, DOI 10.1016/j.soildyn.2018.10.007
   Wikipedia, 2024, Sendai Subway
   Wu CY, 2023, TUNN UNDERGR SP TECH, V140, DOI 10.1016/j.tust.2023.105264
   Wu WF, 2022, ENG STRUCT, V252, DOI 10.1016/j.engstruct.2021.113525
   Wu WF, 2021, EARTHQ ENG STRUCT D, V50, P2294, DOI 10.1002/eqe.3446
   Wu WF, 2020, TUNN UNDERGR SP TECH, V100, DOI 10.1016/j.tust.2020.103389
   Wu XT, 2018, PHYSICA A, V492, P553, DOI 10.1016/j.physa.2017.08.074
   Wu YX, 2023, SOIL DYN EARTHQ ENG, V168, DOI 10.1016/j.soildyn.2023.107852
   Xia F, 2020, IEEE T INTELL TRANSP, V21, P2840, DOI 10.1109/TITS.2019.2920962
   Xie Q, 2019, ENG STRUCT, V194, P320, DOI 10.1016/j.engstruct.2019.05.055
   Xing JD, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103975
   Xing YY, 2017, PUBLIC TRANSPORT, V9, P501, DOI 10.1007/s12469-017-0170-2
   Xu C, 2024, PHYSICA A, V635, DOI 10.1016/j.physa.2024.129496
   [许成顺 Xu Chengshun], 2021, [岩土工程学报, Chinese Journal of Geotechnical Engineering], V43, P624
   Xu PC, 2024, TRANSPORT RES A-POL, V179, DOI 10.1016/j.tra.2023.103907
   Xu ZG, 2020, SOIL DYN EARTHQ ENG, V130, DOI 10.1016/j.soildyn.2019.105967
   Xu ZZ, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-39999-w
   Xu ZZ, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108434
   Xu ZZ, 2022, IEEE T INTELL TRANSP, V23, P12688, DOI 10.1109/TITS.2021.3116667
   Yan B, 2017, SCI CHINA TECHNOL SC, V60, P865, DOI 10.1007/s11431-016-0222-6
   Yang J, 2023, TUNN UNDERGR SP TECH, V135, DOI 10.1016/j.tust.2022.104980
   Yang J, 2021, SOIL DYN EARTHQ ENG, V142, DOI 10.1016/j.soildyn.2020.106560
   Yang J, 2018, J ENVIRON ECON MANAG, V88, P114, DOI 10.1016/j.jeem.2017.09.007
   Yang YH, 2015, SAFETY SCI, V79, P149, DOI 10.1016/j.ssci.2015.06.006
   Yin JT, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108183
   Yoon S, 2021, GEOMAT NAT HAZ RISK, V12, P2629, DOI 10.1080/19475705.2021.1961881
   Yoon S, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10186476
   Yu HT, 2023, SOIL DYN EARTHQ ENG, V172, DOI 10.1016/j.soildyn.2023.108065
   Yu HT, 2013, ENG STRUCT, V49, P572, DOI 10.1016/j.engstruct.2012.12.021
   Yu J, 2021, SOIL DYN EARTHQ ENG, V144, DOI 10.1016/j.soildyn.2021.106686
   Zeng Q, 2016, EARTHQ ENG STRUCT D, V45, P1129, DOI 10.1002/eqe.2699
   Zeng ZP, 2015, J SOUND VIB, V342, P22, DOI 10.1016/j.jsv.2015.01.004
   Zhai CH, 2023, INT J DISAST RISK RE, V84, DOI 10.1016/j.ijdrr.2022.103453
   Zhang CM, 2023, TUNN UNDERGR SP TECH, V142, DOI 10.1016/j.tust.2023.105443
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   Zhang JH, 2018, PHYSICA A, V496, P72, DOI 10.1016/j.physa.2017.12.094
   Zhang JH, 2011, PHYSICA A, V390, P4562, DOI 10.1016/j.physa.2011.06.022
   Zhang JF, 2022, J ADV TRANSPORT, V2022, DOI 10.1155/2022/8595356
   Zhang JF, 2020, INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2020 - RAIL AND PUBLIC TRANSPORT, P71
   Zhang L, 2020, UNDERGR SPACE, V5, P43, DOI 10.1016/j.undsp.2018.10.001
   Zhang L, 2023, RELIAB ENG SYST SAFE, V235, DOI 10.1016/j.ress.2023.109250
   Zhang ZP, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104315
   Zhao YG, 2023, ENG CONSTR ARCHIT MA, V30, P3509, DOI 10.1108/ECAM-09-2021-0806
   Zheng MM, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152015018
   Zhong ZL, 2024, TUNN UNDERGR SP TECH, V144, DOI 10.1016/j.tust.2023.105570
   Zhong ZL, 2023, COMPUT GEOTECH, V163, DOI 10.1016/j.compgeo.2023.105741
   Zhong ZL, 2022, J EARTHQ ENG, V26, P7505, DOI 10.1080/13632469.2021.1964647
   Zhong ZL, 2020, SOIL DYN EARTHQ ENG, V132, DOI 10.1016/j.soildyn.2020.106044
   Zhou SX, 2023, STRUCTURES, V58, DOI 10.1016/j.istruc.2023.105450
   Zhuang H., 2022, Earthq Res Adv, V2, DOI DOI 10.1016/J.EQREA.2022.100155
   Zhuang HY, 2021, TUNN UNDERGR SP TECH, V116, DOI 10.1016/j.tust.2021.104090
   Zhuang HY, 2020, TUNN UNDERGR SP TECH, V102, DOI 10.1016/j.tust.2020.103439
   Zhuang HY, 2019, SOIL DYN EARTHQ ENG, V127, DOI 10.1016/j.soildyn.2019.105842
   Zhuang HY, 2021, J EARTHQ ENG, V25, P2808, DOI 10.1080/13632469.2019.1651423
   Zhuang LD, 2020, STRUCT DES TALL SPEC, V29, DOI 10.1002/tal.1713
   Zimmerman R, 2001, J URBAN TECHNOL, V8, P97, DOI 10.1080/106307301753430764
   Zou Y, 2021, TUNN UNDERGR SP TECH, V114, DOI 10.1016/j.tust.2021.103981
NR 287
TC 3
Z9 3
U1 54
U2 103
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 OCT
PY 2024
VL 152
AR 105920
DI 10.1016/j.tust.2024.105920
EA JUN 2024
PG 26
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA XJ4K7
UT WOS:001261301700001
DA 2025-04-22
ER

PT J
AU Shi, FY
   Zheng, YH
   Liu, X
AF Shi, Fangyuan
   Zheng, Yuhan
   Liu, Xuan
TI Does internet development affect urban economic resilience? New evidence
   from China
SO APPLIED ECONOMICS
LA English
DT Article
DE Economic resilience; Internet development; Sensitivity index;
   Long-differences model; Resistibility; Recovery ability
ID INFORMATION-TECHNOLOGY; GROWTH; PRODUCTIVITY; CITIES; INFRASTRUCTURE;
   COUNTRY; CRISIS; IMPACT
AB Global macroeconomic development is faced with great uncertainty, especially the repeated impact of COVID-19, which exacerbate the challenges. This study explores the impact of Internet development on the resilience of cities. In the first place, a theoretical model is used to analyse how Internet development affects productivity and further influences urban economic resilience. Based on this, a long-differences model is established for empirical analysis. The study found that improving Internet development is an important step enhancing urban economic resilience. The results provide new perspectives and evidence for the study of urban economic resilience.
C1 [Shi, Fangyuan; Zheng, Yuhan] Univ Int Business & Econ, Sch Int Trade & Econ, Beijing, Peoples R China.
   [Liu, Xuan] Univ Int Business & Econ, Press Dept, Beijing, Peoples R China.
   [Shi, Fangyuan] Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China.
C3 University of International Business & Economics; University of
   International Business & Economics; University of International Business
   & Economics
RP Shi, FY (corresponding author), Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China.
EM shifangyuan2022@163.com
RI Zheng, Yuhan/IWU-3815-2023
CR Angulo AM, 2018, ANN REGIONAL SCI, V60, P349, DOI 10.1007/s00168-017-0815-8
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Cainelli G, 2019, ANN REGIONAL SCI, V62, P657, DOI 10.1007/s00168-019-00911-4
   Cainelli G, 2019, PAP REG SCI, V98, P755, DOI 10.1111/pirs.12377
   Castaldo A, 2018, APPL ECON, V50, P838, DOI 10.1080/00036846.2017.1343448
   Chen A., 2022, J. World Econ, V1, P158
   Czernich N, 2011, ECON J, V121, P505, DOI 10.1111/j.1468-0297.2011.02420.x
   Détang-Dessendre C, 2016, REG SCI URBAN ECON, V58, P89, DOI 10.1016/j.regsciurbeco.2016.03.003
   Dewan S, 2000, MANAGE SCI, V46, P548, DOI 10.1287/mnsc.46.4.548.12057
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Fang Z, 2022, TECHNOL SOC, V68, DOI 10.1016/j.techsoc.2021.101844
   Fingleton B, 2013, REG SCI URBAN ECON, V43, P649, DOI 10.1016/j.regsciurbeco.2013.04.005
   Fratesi U, 2018, ANN REGIONAL SCI, V60, P241, DOI 10.1007/s00168-017-0828-3
   Giannakis E, 2020, REG STUD, V54, P1200, DOI 10.1080/00343404.2019.1698720
   Glaeser EL, 2005, J ECON GEOGR, V5, P119, DOI 10.1093/jnlecg/lbh058
   Grabner SM, 2023, REG STUD, V57, P2521, DOI 10.1080/00343404.2022.2042470
   He D.-A., 2018, ECONOMIST, V10, P63, DOI [10.16158/j.cnki.51-1312/f.2018.10.009, DOI 10.16158/J.CNKI.51-1312/F.2018.10.009]
   Holl A, 2018, J REGIONAL SCI, V58, P837, DOI 10.1111/jors.12392
   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]
   Jensen R, 2007, Q J ECON, V122, P879, DOI 10.1162/qjec.122.3.879
   Jiang X.J., 2017, Economic Research, V52, P4
   Jorgenson DW, 2008, J ECON PERSPECT, V22, P3, DOI 10.1257/jep.22.1.3
   Jorgenson DW, 2016, TELECOMMUN POLICY, V40, P383, DOI 10.1016/j.telpol.2016.01.002
   Jorgenson DW, 2005, SCAND J ECON, V107, P631, DOI 10.1111/j.1467-9442.2005.00430.x
   Kitsos A, 2018, ANN REGIONAL SCI, V60, P329, DOI 10.1007/s00168-016-0797-y
   Kline P. M., 2014, Q J ECON, DOI [10.3386/w19293, DOI 10.3386/W19293]
   Koutroumpis P, 2009, TELECOMMUN POLICY, V33, P471, DOI 10.1016/j.telpol.2009.07.004
   Lee N, 2014, REG STUD, V48, P1761, DOI 10.1080/00343404.2012.709609
   Li Q, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052844
   Lin WT, 2006, DECIS SUPPORT SYST, V42, P493, DOI 10.1016/j.dss.2005.10.011
   Martin R, 2019, PAP REG SCI, V98, P1801, DOI 10.1111/pirs.12430
   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
   Masik G, 2022, GEOGR POL, V95, P295, DOI 10.7163/GPol.0237
   Oliner S. D., 2008, 200763 FEDS, DOI [10.2139/ssrn.1160248, DOI 10.2139/SSRN.1160248]
   Pei C., 2010, INT ECON REV, V4, P27
   Razniak P, 2020, ACTA GEOGR SLOV, V60, P95, DOI 10.3986/AGS.7416
   Razniak P, 2017, CHINESE GEOGR SCI, V27, P123, DOI 10.1007/s11769-017-0850-5
   Röller LH, 2001, AM ECON REV, V91, P909, DOI 10.1257/aer.91.4.909
   ROMER PM, 1990, J POLIT ECON, V98, pS71, DOI 10.1086/261725
   Shao BBM, 2001, INFORM SOFTWARE TECH, V43, P447, DOI 10.1016/S0950-5849(01)00150-1
   Solow R.M., 1987, New York Times Book Review, V36
   SOLOW RM, 1956, Q J ECON, V70, P65, DOI 10.2307/1884513
   Song GD, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14148703
   Swanstrom T., 2009, IURD WORKING PAPER S
   Vu KM, 2020, TECHNOL FORECAST SOC, V159, DOI 10.1016/j.techfore.2020.120197
   Wang ZX, 2021, REG STUD, V55, P1228, DOI 10.1080/00343404.2021.1872779
   Wu HT, 2021, ENERG POLICY, V153, DOI 10.1016/j.enpol.2021.112247
   Xiao J, 2018, ECON GEOGR, V94, P514, DOI 10.1080/00130095.2018.1444989
   Yu HC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124754
NR 52
TC 9
Z9 9
U1 19
U2 132
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0003-6846
EI 1466-4283
J9 APPL ECON
JI Appl. Econ.
PD JUN 2
PY 2024
VL 56
IS 26
BP 3117
EP 3132
DI 10.1080/00036846.2023.2204217
EA APR 2023
PG 16
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA NK5B2
UT WOS:000973139400001
DA 2025-04-22
ER

PT J
AU Xia, CH
   Zhai, GF
AF Xia, Chenhong
   Zhai, Guofang
TI The spatiotemporal evolution pattern of urban resilience in the Yangtze
   River Delta urban agglomeration based on TOPSIS-PSO-ELM
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban resilience; TOPSIS; Particle swarm optimization (PSO); Extreme
   learning machine (ELM); Spatiotemporal evolution; Yangtze River Delta
   urban agglomeration&nbsp; (YRDUA); Sustainable development
AB Urban resilience, a methodology that can quantify the healthy operation of cities, has theoretical and practical significance for clarifying urban development rules and improving sustainable urban development. Using 49 cities in the Yangtze River Delta urban agglomeration as a research object, we employed the TOPSIS method, particle swarm optimization (PSO), and extreme learning machine (ELM) to measure urban resilience from 2010 to 2020. We used the mainstream exploratory spatial data analysis, geostatistical trend line analysis and geographical detectors to analyze urban resilience's temporal and spatial evolution characteristics and its influencing factors. The results in the Yangtze River Delta urban agglomeration were as follows: (1) The resil-ience level of cities rose, and their rank changed significantly. (2) There was an apparent spatial imbalance in the development of urban resilience. The "peak" centers of resilience were mainly distributed in first-tier developed cities such as Shanghai, Nanjing, and Hangzhou, while the "valley" centers were mainly distributed in the northwestern marginal cities such as Huainan, Huaibei, and Bozhou. (3) The spatial agglomeration of the urban resilience index was significant, with prominent H-H agglomeration in eastern coastal areas and apparent L-L clustering in the northern Huaibei plain and northern Jiangsu plain. (4) The leading driving factors that influ-enced the spatial differentiation of urban resilience were the per capita deposit balance of financial institutions; the local financial revenue; the foreign capital actually used; the average wage of fully employed staff and workers; the number of hospital beds; the public library collection per 100 persons; the electricity consumption of the whole society; the total gas supply; the number of mobile phone users at the end of each year; and the number of internet broadband users.
C1 [Xia, Chenhong; Zhai, Guofang] Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China.
   [Xia, Chenhong; Zhai, Guofang] Nanjing Univ, Sch Architecture & Urban Planning, Nanjing, Peoples R China.
   [Zhai, Guofang] Nanjing Univ, Urban Secur Dev Res Ctr, Nanjing, Peoples R China.
   [Zhai, Guofang] Urban Planning Soc China Urban Secur & Disaster P, Nanjing, Peoples R China.
C3 Nanjing University; Nanjing University; Nanjing University
RP Xia, CH; Zhai, GF (corresponding author), Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China.; Xia, CH; Zhai, GF (corresponding author), Nanjing Univ, Sch Architecture & Urban Planning, Nanjing, Peoples R China.; Zhai, GF (corresponding author), Nanjing Univ, Urban Secur Dev Res Ctr, Nanjing, Peoples R China.; Zhai, GF (corresponding author), Urban Planning Soc China Urban Secur & Disaster P, Nanjing, Peoples R China.
EM dg20360012@smail.nju.edu.cn; guofang_zhai@nju.edu.cn
RI Zhai, Guofang/JJD-3299-2023
OI XIA, Chenhong/0000-0002-8509-0185
CR Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   BAI ZF, 2022, ECOL INFORM, V70
   Bautista-Puig N., 2022, Cities, V126, DOI [10.1016/j.cities.2022.103715, DOI 10.1016/J.CITIES.2022.103715]
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Cardoni A, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103540
   Chen Shao-qing, 2020, Journal of Natural Science of Hunan Normal University, V43, P10, DOI 10.7612/j.issn.2096-5281.2020.03.002
   Chen YG, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0249589
   Chen YM, 2022, J ENVIRON MANAGE, V319, DOI 10.1016/j.jenvman.2022.115630
   Chu ZY, 2018, NONLINEAR DYNAM, V91, P1321, DOI 10.1007/s11071-017-3947-6
   [崔金鑫 Cui Jinxin], 2021, [系统工程学报, Journal of Systems Engineering], V36, P367
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Esfandi S, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103458
   Feofilovs M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102328
   Fu X, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125146
   Gao YP, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244024
   Guo, 2018, RES COMPREHENSIVE AS, DOI [10.7666/d.D01543968, DOI 10.7666/D.D01543968]
   He Y, 2020, PHYSICA A, V556, DOI 10.1016/j.physa.2020.124845
   Huang GB, 2006, NEUROCOMPUTING, V70, P489, DOI 10.1016/j.neucom.2005.12.126
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Illa Pavan Kumar, 2022, Materials Today: Proceedings, P1776, DOI 10.1016/j.matpr.2021.10.460
   Kaloop MR, 2020, OCEAN ENG, V213, DOI 10.1016/j.oceaneng.2020.107777
   Kapucu N., 2021, Urban Governance, V1, P10, DOI DOI 10.1016/J.UGJ.2021.09.001
   Kaseb Z, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103565
   Khan A, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103517
   Kyprianou I, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103763
   Lara A, 2018, IEEE LAT AM T, V16, P1723, DOI 10.1109/TLA.2018.8444392
   Li CJ, 2022, GEOGR SUSTAIN, V3, P114, DOI 10.1016/j.geosus.2022.04.001
   Li GJ, 2021, CITIES, V114, DOI 10.1016/j.cities.2021.103206
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   [李嘉艺 Li Jiayi], 2021, [生态学报, Acta Ecologica Sinica], V41, P2609
   Li Y., 2017, Planner, V33, P5, DOI 10.3969/j.issn.1006-0022.2017.08.001
   Lin LJ, 2020, SCI TOTAL ENVIRON, V744, DOI 10.1016/j.scitotenv.2020.140264
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   [刘彦平 Liu Yanping], 2021, [城市发展研究, Urban Studies], V28, P93
   Liu ZZ, 2022, PHYSICA A, V586, DOI 10.1016/j.physa.2021.126465
   Lu H, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103167
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Ma F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072593
   Mallick SK, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103196
   McClymont K, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103729
   Narieswari L., 2019, IOP Conference Series: Earth and Environmental Science, V399, DOI 10.1088/1755-1315/399/1/012020
   Peng JQ, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103080
   Ren Y, 2022, J TRANSP GEOGR, V104, DOI 10.1016/j.jtrangeo.2022.103431
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   SEYED MHS, 2022, SUSTAIN CITIES SOC, V78
   Sun Y. N., 2021, NANJING SOC SCI, P31, DOI [10.15937/j.cnki.issn1001-8263.2021.07.004, DOI 10.15937/J.CNKI.ISSN1001-8263.2021.07.004, 10.15937/j.cnki.issn1001-8263.2021.07.004.+48, DOI 10.15937/J.CNKI.ISSN1001-8263.2021.07.004.+48]
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   Veisi O, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104101
   Wang DW, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104177
   Wang JJ, 2022, CHAOS SOLITON FRACT, V156, DOI 10.1016/j.chaos.2021.111783
   Wang MJ, 2017, ENG APPL ARTIF INTEL, V63, P54, DOI 10.1016/j.engappai.2017.05.003
   Wang M, 2022, SCI TOTAL ENVIRON, V834, DOI 10.1016/j.scitotenv.2022.155267
   Wang W, 2020, NAT HAZARDS, V104, P1181, DOI 10.1007/s11069-020-04210-6
   Wang Ya-qin, 2021, Yingyong Shengtai Xuebao, V32, P4039, DOI 10.13287/j.1001-9332.202111.026
   Xiao YH, 2022, RELIAB ENG SYST SAFE, V218, DOI 10.1016/j.ress.2021.108164
   Xiong F, 2019, CLUSTER COMPUT, V22, P14767, DOI 10.1007/s10586-018-2400-z
   Xu HZ, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105735
   [徐建中 Xu Jianzhong], 2020, [运筹与管理, Operations Research and Management Science], V29, P131
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang, 2020, SPATIAL OPTIMIZATION, P835, DOI [10.16418/j.issn.1000-3045.20200419001, DOI 10.16418/J.ISSN.1000-3045.20200419001]
   Yang T, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104069
   Yang X., 2021, URBAN ISSUES, V3, P29, DOI DOI 10.13239/J.BJSSHKXY.CSWT.210303
   Zeng J, 2022, ENG COMPUT-GERMANY, V38, P3811, DOI 10.1007/s00366-020-01225-2
   Zhai G.F., 2019, PEOPLES FORUM, V19, P58, DOI [10.3969/j.issn.1004-3381.2019.19.020, DOI 10.3969/J.ISSN.1004-3381.2019.19.020]
   Zhang W., 2022, J CLEAN PROD, DOI [10.1016/j.jclepro.2022.13373.Article133735, DOI 10.1016/J.JCLEPRO.2022.13373.ARTICLE133735]
   [张潇 Zhang Xiao], 2021, [经济地理, Economic Geography], V41, P77
   Zhang X, 2022, URBAN CLIM, V43, DOI 10.1016/j.uclim.2022.101180
   [赵瑞东 Zhao Ruidong], 2020, [地理科学进展, Progress in Geography], V39, P1717
   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]
   Zuniga-Teran AA, 2020, CURR OPIN ENV SUST, V44, P42, DOI 10.1016/j.cosust.2020.05.001
NR 70
TC 53
Z9 53
U1 34
U2 297
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 DEC
PY 2022
VL 87
AR 104223
DI 10.1016/j.scs.2022.104223
EA OCT 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 5U2PK
UT WOS:000876395200006
DA 2025-04-22
ER

PT J
AU Humphries, C
AF Humphries, Courtney
TI An urban resilience fix: resolving waterfront development and flood
   risks in Boston's Seaport District
SO URBAN GEOGRAPHY
LA English
DT Article; Early Access
DE Urban resilience; environmental fixes; climate governance; critical
   adaptation studies
ID CLIMATE-CHANGE ADAPTATION; ENTREPRENEURIAL CITY; POLITICS;
   IMPLEMENTATION; VULNERABILITY; REALITY; PLANS
AB Climate change resilience is increasingly becoming a policy priority in cities, but the impetus to reduce future climate risks may conflict with existing economic priorities shaping urban development. This study examines how Boston, Massachusetts responded to future sea level rise by adopting a set of policies promoting climate resilience of its waterfront while simultaneously overseeing the rapid development of the Seaport District, a neighbourhood highly vulnerable to flooding. Drawing upon previous scholarship on environmental fixes in entrepreneurial cities, I argue that Boston's policy decisions represent a resilience fix in which policymakers selectively adopt climate adaptation strategies that respond to growing evidence of climate-related risks but also perpetuate existing economic growth patterns. This case study contributes to an emerging understanding of resilience fixes by highlighting how they embody political decisions that can ultimately undermine the aims of urban resilience, including long-term adaptation and social equity. The resilience fix framing extends scholarship on the multidimensional nature of urban resilience to highlight how selective interpretation of resilience across spatial, temporal, and social dimensions in urban policy may result in positive changes across some dimensions but create maladaptations along others.
C1 [Humphries, Courtney] Boston Coll, Core Curriculum & Environm Studies Program, Chestnut Hill, MA 02467 USA.
C3 Boston College
RP Humphries, C (corresponding author), Boston Coll, Core Curriculum & Environm Studies Program, Chestnut Hill, MA 02467 USA.
EM courtney@strangestsea.com
OI Humphries, Courtney/0000-0003-0073-1180
CR Abel D., 2023, Inundation District Documentary
   Abel D., 2018, Boston GlobeFebruary 11
   Agyeman J, 2003, URBAN IND ENVIRON, P1
   Ajibade I, 2022, ANN AM ASSOC GEOGR, V112, P2230, DOI 10.1080/24694452.2022.2062290
   American Planning Association, 2020, Sustainable Communities Division Announces the Winners of the Seventh Annual Awards for Excellence in Sustainability
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2016, Climate Ready Boston
   [Anonymous], 2019, Coastal Flood Resilience Design Guidelines
   [Anonymous], Case Study: The Boston Waterfront Innovation District | Smart Cities Dive
   [Anonymous], 2010, Seaport Square to Enhance City's Innovation District with New Innovation Center, 23-Acre Mixed-Use Sustainable Neighborhood
   [Anonymous], 2021, CFROD VIRT PUBL M Q
   Babbie ER., 2016, The Practice of Social Research, V14th
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Bahadur AV, 2015, INT J URBAN SUSTAIN, V7, P196, DOI 10.1080/19463138.2015.1060595
   Bahadur AV, 2013, CLIM DEV, V5, P55, DOI 10.1080/17565529.2012.762334
   Bahadur AdityaV., 2010, The resilience renaissance? Unpacking of resilience for tackling climate change and disasters
   Bailey A., 2020, The Resilience Factor: A Competitive Edge for Climate-Ready Cities p, P58
   Barbier E., 1998, The economics of environment and development, P1
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Berg Nate, 2017, The Guardian
   Bosma K., 2015, MassDOT-FHWA Pilot Project Report: Climate Change and Extreme Weather Vulnerability Assessments and Adaptation Options for the Central Artery
   Boston, 2017, Resilient Boston: A connected and equitable city
   Boston, 2023, Operating budget fiscal year 2023-Revenue estimates and analysis
   Boston, 2017, Imagine Boston 2030
   Boston, 2018, Coastal resilience solutions for South Boston
   Boston Globe Spotlight Team & Team T. S., 2017, BostonGlobe.Com
   Boston Planning and Development Agency, 2017, Climate resiliency review policy
   Boston Planning and Development Agency, 2017, Boston climate change checklist-Guidance-DRAFT for Public Comment
   Boston Planning & Development Agency Research Division, 2024, Boston in context: Neighborhoods
   Boston Real Estate Times, 2017, Boston Real Estate Times
   Boston Redevelopment Authority (with Boston Public Library), 1990, Fort point district plan
   Brand FS, 2007, ECOL SOC, V12
   Brenner N, 2002, ANTIPODE, V34, P349, DOI 10.1111/1467-8330.00246
   Bunce S, 2007, CITIES, V24, P251, DOI 10.1016/j.cities.2007.02.001
   Camponeschi C, 2021, GEOFORUM, V123, P78, DOI 10.1016/j.geoforum.2021.05.001
   Carlock C., 2020, Boston Business Journal
   Broto VC, 2021, URBAN GEOGR, V42, P715, DOI 10.1080/02723638.2020.1850617
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   City of Boston & Boston Redevelopment Authority, 1999, Seaport Public Realm Plan
   City of Boston Environment Department, 2021, Climate action fiscal year 2021 Report
   Cleveland J., 2018, Life After Carbon
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Cole A., 2022, Constructing narratives for city governance, P1
   Cox S, 2022, ENVIRON PLANN A, V54, P295, DOI 10.1177/0308518X211054162
   Dilworth R., 2013, J. Urban, V6, P37, DOI [10.1080/17549175.2012.692570, DOI 10.1080/17549175.2012.692570]
   Drucker J., 2019, Innovation Districts as A Strategy for Urban Economic Development: A Comparison of Four Cases, DOI DOI 10.2139/SSRN.3498319
   Dumcius G., 2021, Dorchester Reporter
   DuPuis EM, 2019, J ENVIRON STUD SCI, V9, P352, DOI 10.1007/s13412-019-0538-5
   Editorial, 2016, Boston Business Journal
   Elkington J., 1997, Cannibals with Forks: The Triple Bottom Line of 21st Century Business
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Feola G, 2020, ENVIRON INNOV SOC TR, V35, P241, DOI 10.1016/j.eist.2019.02.005
   Fernandes D., 2013, Boston GlobeNovember 16
   Fitzgerald J., 2022, Inaugural Boston climate progress report
   Ford G., 2014, Boston GlobeAugust 18
   Foster C. A., 2019, Expanding Boston's capacity to build coastal resilience infrastructure: Lessons from the Seaport District, P175
   Gibbs MT, 2016, OCEAN COAST MANAGE, V130, P107, DOI 10.1016/j.ocecoaman.2016.06.002
   Gould KA, 2018, CITY COMMUNITY, V17, P12, DOI 10.1111/cico.12283
   Gray S., 2017, Boston GlobeJanuary 3
   Grove Kevin., 2018, Resilience, DOI [DOI 10.4324/9781315661407, DOI 10.1016/0145-305X(86)90044-3]
   Harvey David., 2001, Geographische Revue, V2, P23, DOI DOI 10.1038/D-NB.INFO/1217929630/34
   Harvey David., 1982, The Limits to Capital
   Hay I., 2000, QUALITATIVE RES METH
   Heaphy L, 2020, TELEMAT INFORM, V54, DOI 10.1016/j.tele.2020.101459
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hoyle B, 2000, GEOGR REV, V90, P395, DOI 10.2307/3250860
   Immerman D., 2019, PTC's new headquarters is one of the greenest buildings in the U.S
   Jacobs W. B., 2011, Legal options for municipal climate adaptation in south Boston
   Jessop B, 2000, URBAN STUD, V37, P2287, DOI 10.1080/00420980020002814
   Jin D, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00478
   Jocoy CL, 2018, URBAN GEOGR, V39, P388, DOI 10.1080/02723638.2017.1333238
   Jokinen A, 2018, J ENVIRON POL PLAN, V20, P551, DOI 10.1080/1523908X.2018.1454828
   Jonas AEG, 2011, URBAN STUD, V48, P2537, DOI 10.1177/0042098011411951
   Keenan JM, 2018, ENVIRON SCI POLICY, V88, P116, DOI 10.1016/j.envsci.2018.06.015
   Kirshen P., 2005, New England Journal of Public Policy, V20
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   Long JH, 2016, URBAN STUD, V53, P149, DOI 10.1177/0042098014560501
   Loth R., 2018, Boston GlobeMarch 26
   Mahmoudi D, 2020, URBAN GEOGR, V41, P801, DOI 10.1080/02723638.2019.1698865
   Markus M, 2016, PLAN THEORY PRACT, V17, P497, DOI 10.1080/14649357.2016.1210666
   McCown J., 2021, MetropolisAugust 31
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Meerow S, 2017, ENVIRON PLANN A, V49, P2619, DOI 10.1177/0308518X17735225
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mohl B., 2021, CommonWealth Magazine
   MOLOTCH H, 1976, AM J SOCIOL, V82, P309, DOI 10.1086/226311
   Niezgoda A., 2018, NBC Boston
   Quinn V., 2014, The Urban Implications of Living with Water
   Remedios J., 2021, The Seaport Cost Billions To Build. What Will It Take To Save It? wbur 16 June
   Scanu E, 2021, ENVIRON PLAN E-NAT, V4, P1369, DOI 10.1177/2514848620952326
   Sewald J., 2016, Vivien Li, river keeper
   Shi LD, 2020, CITIES, V100, DOI 10.1016/j.cities.2020.102658
   Sieber T.R., 1991, CITY SOC, V5, P120, DOI [DOI 10.1525/CITY.1991.5.2.120, https://doi.org/10.1525/city.1991.5.2.120]
   Sirkovich J., 2020, Development Magazine
   Smith J., 2018, Gb&d Magazine
   Sperance C., 2021, Boston.Com
   Stanley J., 2015, Next City
   Strauss A. L., 1997, Grounded theory in practice, pviii
   Teitell B., 2017, Boston Globe
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   Temenos C, 2012, ENVIRON PLANN A, V44, P1389, DOI 10.1068/a44314
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Tretter E, 2013, URBAN STUD, V50, P2222, DOI 10.1177/0042098013478234
   van den Berg HJ, 2019, ENVIRON SCI POLICY, V94, P90, DOI 10.1016/j.envsci.2018.12.015
   Ward K, 2003, AREA, V35, P116, DOI 10.1111/1475-4762.00246
   Webber S, 2016, GEOGR COMPASS, V10, P401, DOI 10.1111/gec3.12278
   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
   Winter AK, 2020, URBAN GEOGR, V41, P760, DOI 10.1080/02723638.2019.1664253
   Woodruff S, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100354
NR 111
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 0272-3638
EI 1938-2847
J9 URBAN GEOGR
JI Urban Geogr.
PD 2025 JAN 4
PY 2025
DI 10.1080/02723638.2024.2438519
EA JAN 2025
PG 22
WC Geography; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Urban Studies
GA R2J9N
UT WOS:001389788500001
DA 2025-04-22
ER

PT J
AU Chen, XB
   Guo, ZP
   Zhou, HY
   Qian, XK
   Zhang, XS
AF Chen, Xiaobo
   Guo, Zupei
   Zhou, Hengyu
   Qian, Xikun
   Zhang, Xuesheng
TI Urban Flood Resilience Assessment Based on VIKOR-GRA: A Case Study in
   Chongqing, China
SO KSCE JOURNAL OF CIVIL ENGINEERING
LA English
DT Article
DE Flood resilience; Disaster resilience; VIKOR-GRA; Resilience assessment
ID DECISION-SUPPORT-SYSTEMS; DISASTER RISK; SOCIAL VULNERABILITY;
   INTEGRATED FRAMEWORK; CLIMATE-CHANGE; INDICATORS; COMMUNITIES;
   INFORMATION; HAZARDS
AB Flooding has been considered as one of the major challenges of urban hazards resilience assessment. Improving urban flood risk resilience has become a critical issue for city management. However, urban flood assessment models on the resilience perspective are rare. Meanwhile, in the perspective of resilience, the existing studies using the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) assessment method for disaster assessment lack consideration of evaluation scenarios located in the midpoint of positive and negative ideal solutions. To address these issues, this study establishes an urban flood disaster resilience assessment model, selects indicators according to the TOSE (Technical, Organizational, Social and Economic) framework, ranks cities through the VIKOR-GRA (VlseKriterijumska Optimizacija I Kompromisno Resenje, Grey Relational Analysis) method, and proposes measures to improve urban disaster resilience through the resilience assessment. Chongqing is taken as an example in this study to verify the feasibility and effectiveness of the proposed model, and practical management opinions are presented to improve flood resilience in these cities. Through the analysis of actual cases, it can be seen that the model has good applicability and can better reflect the actual situation. The knowledge of flood resilience assessment methods is of particular value to policy makers, researchers and industry professionals in assessing potential risks and recognizing the importance of flood prevention mechanisms.
C1 [Chen, Xiaobo; Guo, Zupei; Zhou, Hengyu; Qian, Xikun] Dongbei Univ Finance & Econ, Sch Investment & Construct Management, Dalian 116025, Peoples R China.
   [Chen, Xiaobo; Guo, Zupei; Zhou, Hengyu; Qian, Xikun] Dongbei Univ Finance & Econ, Construct Management Res Ctr, Dalian 116025, Peoples R China.
   [Zhang, Xuesheng] Beijing Urban Construct Grp Co Ltd, Beijing 100088, Peoples R China.
C3 Dongbei University of Finance & Economics; Dongbei University of Finance
   & Economics
RP Chen, XB (corresponding author), Dongbei Univ Finance & Econ, Sch Investment & Construct Management, Dalian 116025, Peoples R China.; Chen, XB (corresponding author), Dongbei Univ Finance & Econ, Construct Management Res Ctr, Dalian 116025, Peoples R China.
EM xbchen@dufe.edu.cn
RI Chen, Xiaobo/AAH-4152-2019
OI Chen, Xiaobo/0000-0002-9074-3662
FU Liaoning Social Science Foundation; Research Project of Department of
   Education of Liaoning Province [LN2020Q04]; National Natural Science
   Foundation of China [71701033]; Dalian High Level Talents Innovation
   Support Plan [2017 RQ005]
FX This research has been supported by the Liaoning Social Science
   Foundation (No.L20BGL021), Research Project of Department of Education
   of Liaoning Province (LN2020Q04), National Natural Science Foundation of
   China (No.71701033), and the Dalian High Level Talents Innovation
   Support Plan (No. 2017 RQ005).
CR Abdelkarim A, 2019, WATER-SUI, V11, DOI 10.3390/w11091887
   Abdrabo MA, 2015, URBAN CLIM, V14, P554, DOI 10.1016/j.uclim.2015.09.005
   Alshehri SA, 2015, NAT HAZARDS, V78, P395, DOI 10.1007/s11069-015-1719-5
   Assumma V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010003
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cai T, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101077
   Chatfield AT, 2013, GOV INFORM Q, V30, P377, DOI 10.1016/j.giq.2013.05.021
   Chen L, 2017, NAT HAZARDS, V89, P647, DOI 10.1007/s11069-017-2984-2
   Chen N, 2019, INT J DISAST RISK RE, V33, P196, DOI 10.1016/j.ijdrr.2018.10.005
   Chen WF, 2013, INT J DISAST RISK SC, V4, P169, DOI 10.1007/s13753-013-0018-6
   Chu HB, 2020, ENVIRON MODELL SOFTW, V124, DOI 10.1016/j.envsoft.2019.104587
   Cutter SL, 2020, NORSK GEOGR TIDSSKR, V74, P200, DOI 10.1080/00291951.2019.1692066
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Datola G, 2019, LECT NOTES COMPUT SC, V11622, P108, DOI 10.1007/978-3-030-24305-0_9
   de Brito MM, 2016, NAT HAZARD EARTH SYS, V16, P1019, DOI 10.5194/nhess-16-1019-2016
   Gholamreza-Kashi S, 2016, CAN J CIVIL ENG, V43, P716, DOI 10.1139/cjce-2016-0158
   Godfrey A, 2015, INT J DISAST RISK RE, V13, P229, DOI 10.1016/j.ijdrr.2015.06.001
   Goodchild MF, 2010, INT J DIGIT EARTH, V3, P231, DOI 10.1080/17538941003759255
   Horney J, 2017, DISASTERS, V41, P124, DOI 10.1111/disa.12190
   Jing KP, 2009, COMM COM INF SC, V35, P501
   Jung IW, 2013, KSCE J CIV ENG, V17, P233, DOI 10.1007/s12205-013-1609-x
   Kim B, 2014, ADV WATER RESOUR, V68, P42, DOI 10.1016/j.advwatres.2014.02.013
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Kumar B, 2018, INT J DISAST RISK RE, V31, P1309, DOI 10.1016/j.ijdrr.2018.04.022
   Levy JK, 2007, J AM WATER RESOUR AS, V43, P346, DOI 10.1111/j.1752-1688.2007.00027.x
   Levy JK, 2005, STOCH ENV RES RISK A, V19, P438, DOI 10.1007/s00477-005-0009-2
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li Q, 2012, SAFETY SCI, V50, P1275, DOI 10.1016/j.ssci.2012.01.007
   Lin PH, 2016, SUSTAIN RESIL INFRAS, V1, P108, DOI 10.1080/23789689.2016.1254997
   Liu Y, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108644
   Luu C, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101153
   Mao Q, 2019, INT J CRIT INFR PROT, V26, DOI 10.1016/j.ijcip.2019.100304
   Maybery D, 2009, RURAL SOC, V19, P326, DOI 10.5172/rsj.351.19.4.326
   Melesse AM, 2007, SENSORS-BASEL, V7, P3209, DOI 10.3390/s7123209
   Muis S, 2015, SCI TOTAL ENVIRON, V538, P445, DOI 10.1016/j.scitotenv.2015.08.068
   Naghawi H, 2015, CAN J CIVIL ENG, V42, P81, DOI 10.1139/cjce-2014-0177
   Ni XY, 2021, KSCE J CIV ENG, V25, P3977, DOI 10.1007/s12205-021-2098-y
   Opricovic S, 2004, EUR J OPER RES, V156, P445, DOI 10.1016/s0377-2217(03)00020-1
   Pricope NG, 2019, DATA BRIEF, V24, DOI 10.1016/j.dib.2019.103975
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Sarmah T, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101659
   Sayadi MK, 2009, APPL MATH MODEL, V33, P2257, DOI 10.1016/j.apm.2008.06.002
   Shah AA, 2018, NAT HAZARDS, V93, P147, DOI 10.1007/s11069-018-3293-0
   da Silva LBL, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101582
   Singh-Peterson L, 2014, INT J DISAST RISK RE, V10, P116, DOI 10.1016/j.ijdrr.2014.07.004
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Sun RL, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101768
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   Udnoon S, 2022, KSCE J CIV ENG, V26, P987, DOI 10.1007/s12205-021-0459-1
   Wallemacq Pascaline., 2018, Poverty Disasters: 1998-2017
   Ward PS, 2017, DISASTERS, V41, P324, DOI 10.1111/disa.12199
   Wu ZN, 2020, J HYDROL, V583, DOI 10.1016/j.jhydrol.2020.124596
   Yang XL, 2013, NAT HAZARDS, V68, P657, DOI 10.1007/s11069-013-0642-x
   Yin ZE, 2011, J GEOGR SCI, V21, P274, DOI 10.1007/s11442-011-0844-7
   Yoon DK, 2016, J ENVIRON PLANN MAN, V59, P436, DOI 10.1080/09640568.2015.1016142
   Zhang DF, 2020, ENVIRON IMPACT ASSES, V83, DOI 10.1016/j.eiar.2020.106397
   Zhang Z, 2019, INT J DIGIT EARTH, V12, P1364, DOI 10.1080/17538947.2018.1543363
   Zhu FL, 2017, WATER RESOUR RES, V53, P10635, DOI 10.1002/2017WR021480
NR 61
TC 13
Z9 13
U1 67
U2 291
PU KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
PI SEOUL
PA 3-16 JUNGDAE-RO 25-GIL, SONGPA-GU, SEOUL, 05661, SOUTH KOREA
SN 1226-7988
EI 1976-3808
J9 KSCE J CIV ENG
JI KSCE J. Civ. Eng.
PD SEP
PY 2022
VL 26
IS 9
BP 4178
EP 4194
DI 10.1007/s12205-022-2257-9
EA AUG 2022
PG 17
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA 3T2IL
UT WOS:000834729900011
OA hybrid
DA 2025-04-22
ER

PT J
AU Meerow, S
   Newell, JP
AF Meerow, Sara
   Newell, Joshua P.
TI Urban resilience for whom, what, when, where, and why?
SO URBAN GEOGRAPHY
LA English
DT Article
DE Urban resilience; urban sustainability; social-ecological systems;
   vulnerability; adaptation; green infrastructure
ID CLIMATE-CHANGE ADAPTATION; GREEN INFRASTRUCTURE; ECOSYSTEM SERVICES;
   ENVIRONMENTAL JUSTICE; ECOLOGICAL-SYSTEMS; PLANNING PRACTICE; CITIES;
   VULNERABILITY; COMPLEXITY; FRAMEWORK
AB In academic and policy discourse, the concept of urban resilience is proliferating. Social theorists, especially human geographers, have rightfully criticized that the underlying politics of resilience have been ignored and stress the importance of asking "resilience of what, to what, and for whom?" This paper calls for careful consideration of not just resilience for whom and what, but also where, when, and why. A three-phase process is introduced to enable these "five Ws" to be negotiated collectively and to engender critical reflection on the politics of urban resilience as plans, initiatives, and projects are conceived, discussed, and implemented. Deployed through the hypothetical case of green infrastructure in Los Angeles, the paper concludes by illustrating how resilience planning trade-offs and decisions affect outcomes over space and time, often with significant implications for equity.
C1 [Meerow, Sara; Newell, Joshua P.] Univ Michigan, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA.
C3 University of Michigan System; University of Michigan
RP Meerow, S (corresponding author), Univ Michigan, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA.
EM sameerow@umich.edu
RI Meerow, Sara/J-8037-2019; Newell, Joshua/J-6665-2016
OI Meerow, Sara/0000-0002-6935-1832; Newell, Joshua/0000-0002-1440-8715
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], ECOLOGY SOC
   Armitage D, 2006, ECOL SOC, V11
   ARUP, 2014, CIT RES IND CIT RES
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Beichler SA, 2014, ECOL SOC, V19, DOI 10.5751/ES-06583-190304
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Benedict M. A., 2002, Renewable Resources Journal, V20, P12
   Brand FS, 2007, ECOL SOC, V12
   Brenner N., 2011, Urban Constellations, P10
   Brown K., 2012, Climate change and the crisis of capitalism: A chance to reclaim self, society and nature, P37, DOI DOI 10.4324/9780203146118
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Bruntland Gro Harlem., 1987, OUR COMMON FUTURE OU
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cascio J., 2009, Foreign Policy, V172, P92
   Castells Manuel., 2002, CASTELLS READER CITI, P448
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Coaffee J, 2013, PLAN PRACT RES, V28, P323, DOI 10.1080/02697459.2013.787693
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Dicken P., 2007, Global Shift: Mapping the Changing Contours of the World Economy
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Elmqvist T., 2014, RESILIENT SUSTAINABL, P19, DOI [10.4324/9780203593066, DOI 10.4324/9780203593066]
   Elmqvist Thomas., 2014, SOLUTIONS, V5, P26
   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
   Evans Brad., 2014, RESILIENT LIFE ART L
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Fabinyi Michael., 2008, Proceedings of the 11th International Coral Reef Symposium, P971
   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
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Garschagen M, 2013, NAT HAZARDS, V67, P25, DOI 10.1007/s11069-011-9753-4
   Goodyear Sarah., 2014, AMBITIOUS L PARKS PL
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Harvey David., 1996, JUSTICE NATURE GEOGR
   Hodson M, 2010, RES POLICY, V39, P477, DOI 10.1016/j.respol.2010.01.020
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CrawfordStanley., 1996, Engineering withn Ecological Constraints
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P240, DOI 10.1016/j.gloenvcha.2006.04.001
   Jasanoff S., 2004, States of Knowledge: The Co-production of Science and Social Order, DOI 10.4324/9780203413845
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kaika Maria., 2006, In The Nature of Cities: Urban Political Ecology and the Politics of Urban Metabolism
   Kearns Allen., 2014, Resilient Sustainable Cities: A future, P52
   Korhonen J., 2008, BUS STRATEG ENVIRON, V17, P411, DOI [DOI 10.1002/BSE.635, 10.1002/bse.635]
   Leach M., 2008, STEPS Working Paper 13
   Lebel L, 2006, ECOL SOC, V11
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McEvoy D, 2013, PLAN PRACT RES, V28, P280, DOI 10.1080/02697459.2013.787710
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meerow S, 2015, J IND ECOL, V19, P236, DOI 10.1111/jiec.12252
   Meerow SA, 2012, INT J URBAN SUSTAIN, V4, P20, DOI 10.1080/19463138.2012.667414
   Miller F, 2010, ECOL SOC, V15
   Newell Josh, 2007, CREATING PARKS OPEN
   Newell JP, 2013, CITIES, V31, P144, DOI 10.1016/j.cities.2012.07.004
   O'Hare P, 2013, PLAN PRACT RES, V28, P275, DOI 10.1080/02697459.2013.787721
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Pearson Leonie J., 2014, Resilient Sustainable Cities: A future, P242, DOI [DOI 10.4324/9780203593066, DOI 10.1080/09613218.2014.850602]
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   Rouse DavidC., 2013, Green Infrastructure: A Landscape Approach
   Seitzinger SP, 2012, AMBIO, V41, P787, DOI 10.1007/s13280-012-0353-7
   Seto KC, 2010, ANNU REV ENV RESOUR, V35, P167, DOI 10.1146/annurev-environ-100809-125336
   STAR SL, 1989, SOC STUD SCI, V19, P387, DOI 10.1177/030631289019003001
   Sudmeier-Rieux KI, 2014, DISASTER PREV MANAG, V23, P67, DOI 10.1108/DPM-12-2012-0143
   Sussams LW, 2015, J ENVIRON MANAGE, V147, P184, DOI 10.1016/j.jenvman.2014.09.003
   Tidball K.G., 2014, Greening in the red zone: Disaster, resilience and community greening, DOI DOI 10.1007/978-90-481-9947-12
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Turner MD, 2014, PROG HUM GEOG, V38, P616, DOI 10.1177/0309132513502770
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Wamsler C, 2014, ROUTL CRIT INTRO URB, P1
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   Wise S., 2008, Planning, V74, P14
   Wolch J, 2005, URBAN GEOGR, V26, P4, DOI 10.2747/0272-3638.26.1.4
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wu Jianguo., 2013, Resilience in Ecology and Urban Design, DOI 10.1007/978-94-007-5341-910
NR 97
TC 472
Z9 522
U1 62
U2 728
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 309
EP 329
DI 10.1080/02723638.2016.1206395
PG 21
WC Geography; Urban Studies
WE Social Science Citation Index (SSCI)
SC Geography; Urban Studies
GA IN9YR
UT WOS:000479037000003
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Nakatani, T
   Misumi, R
   Shoji, Y
   Saito, K
   Seko, H
   Seino, N
   Suzuki, S
   Shusse, Y
   Maesaka, T
   Sugawara, H
AF Nakatani, Tsuyoshi
   Misumi, Ryohei
   Shoji, Yoshinori
   Saito, Kazuo
   Seko, Hiromu
   Seino, Naoko
   Suzuki, Shin-ichi
   Shusse, Yukari
   Maesaka, Takeshi
   Sugawara, Hirofumi
TI Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient
   Cities
SO BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
LA English
DT Article
C1 [Nakatani, Tsuyoshi; Misumi, Ryohei; Suzuki, Shin-ichi; Shusse, Yukari; Maesaka, Takeshi] Natl Res Inst Earth Sci & Disaster Prevent, Tsukuba, Ibaraki 3050006, Japan.
   [Shoji, Yoshinori; Saito, Kazuo; Seko, Hiromu; Seino, Naoko] Meteorol Res Inst, Tsukuba, Ibaraki 305, Japan.
   [Sugawara, Hirofumi] Natl Def Acad, Yokosuka, Kanagawa 239, Japan.
C3 National Research Institute for Earth Science & Disaster Resilience;
   Meteorological Research Institute - Japan; National Defense Academy -
   Japan
RP Misumi, R (corresponding author), Natl Res Inst Earth Sci & Disaster Prevent, 3-1 Tennodai, Tsukuba, Ibaraki 3050006, Japan.
EM misumi@bosai.go.jp
RI Saito, Kazuo/V-6928-2019
OI Misumi, Ryohei/0000-0003-2809-1250
FU Japan Science and Technology Agency (JST) as part of the "Social System
   Reformation Program for Adaption to Climate Change"
FX We are grateful to Kohin Hirano, Michiko Otsuka, Masaru Kunii, Ayako
   Nakai, and Natsumi Imai for their contribution to the workshop as
   members of the local organizing committee. TOMACS is funded by the Japan
   Science and Technology Agency (JST) as part of the "Social System
   Reformation Program for Adaption to Climate Change."
CR Kawabata T, 2014, SOLA, V10, P145, DOI 10.2151/sola.2014-030
   Maki M., 2012, P 7 EUR C RAD MET HY
   Nakatani T., 2013, 46 WWRP JSC
   Saito S, 2013, SOLA, V9, P153, DOI 10.2151/sola.2013-034
NR 4
TC 16
Z9 16
U1 0
U2 22
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 0003-0007
EI 1520-0477
J9 B AM METEOROL SOC
JI Bull. Amer. Meteorol. Soc.
PD AUG
PY 2015
VL 96
IS 8
BP ES123
EP ES126
DI 10.1175/BAMS-D-14-00209.1
PG 4
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA CR5GB
UT WOS:000361367600001
OA hybrid
DA 2025-04-22
ER

PT J
AU Geng, YF
   Huang, X
   Zhong, YM
   Wang, ZL
AF Geng, Yanfen
   Huang, Xiao
   Zhong, Yingmeng
   Wang, Zhili
TI The impact of complex terrain on urban flood resilience under extreme
   rainfall events
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Urban flooding; Hydrodynamic model; Building layout; Urban resilience
AB In the context of ongoing climate change and extreme rainfall events, urban flooding has become a global challenge. The layout of urban buildings is recognized as a crucial factor influencing flooding. The ability of a city to respond promptly and recover quickly from floods is referred as 'urban flood resilience'. To deepen our understanding of this issue, urban flooding simulation and resilience assessment have emerged as key methods for studying its impacts. This study establishes a hydrodynamic model of urban flooding under extreme rainfall conditions to investigate the runoff characteristics influenced by building layouts. It also explores the mechanisms of water flow resistance in complex terrains. Within a resilience assessment framework, incorporating realtime simulation data and indices characterizing complex terrain, the study employs factor analysis to optimize the framework. It derives a formula for calculating flooding resilience and conducts resilience assessments in the study area. The research reveals that flooded areas predominantly occur in regions with irregular building layouts and high building densities. The impact of extreme rainfall is magnified in areas with irregular buildings. As the irregularity coefficient deviates further from 1, the water resistance effect of buildings becomes more pronounced, with maximum ponding depth increases reaching up to 20 %. An increase in slope results in a 10 % to 30 % rise in maximum ponding depth but reduces the overall flooded area. Maps depicting urban flooding resilience and severity present varying results, offering proactive planning recommendations for urban flooding prevention and control.
C1 [Geng, Yanfen; Huang, Xiao; Zhong, Yingmeng] Southeast Univ, Dept Port & Waterway Engn, Nanjing 210000, Peoples R China.
   [Wang, Zhili] Nanjing Hydraul Res Inst, Nanjing 210029, Jiangsu, Peoples R China.
C3 Southeast University - China; Nanjing Hydraulic Research Institute
RP Geng, YF (corresponding author), Southeast Univ, Dept Port & Waterway Engn, Nanjing 210000, Peoples R China.
EM yfgeng@seu.edu.cn
FU National Natural Science Foundation of China [51979040]
FX The National Natural Science Foundation of China (No. 51979040) is
   gratefully acknowledged.
CR Bruwier M, 2020, J HYDROL, V582, DOI 10.1016/j.jhydrol.2019.124493
   GAZIK RJ, 1974, CAN J MATH, V26, P1289, DOI 10.4153/CJM-1974-123-7
   Geng YF, 2020, NAT HAZARDS, V100, P133, DOI 10.1007/s11069-019-03803-0
   Idowu D, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032514
   Li DZ, 2022, ENVIRON SCI POLLUT R, V29, P46306, DOI 10.1007/s11356-022-19142-w
   Liu J, 2021, TRAVEL BEHAV SOC, V23, P13, DOI 10.1016/j.tbs.2020.10.009
   Liu M, 2017, APPL GEOGR, V87, P66, DOI 10.1016/j.apgeog.2017.07.011
   Ma LL, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191711094
   Mei C, 2023, SCI CHINA TECHNOL SC, V66, P2561, DOI 10.1007/s11431-022-2393-2
   Mukesh MS, 2024, INT J DISASTER RESIL, V15, P274, DOI 10.1108/IJDRBE-11-2021-0155
   Mukesh MS, 2022, ASCE-ASME J RISK U A, V8, DOI 10.1061/AJRUA6.0001256
   [彭建 Peng Jian], 2018, [生态学报, Acta Ecologica Sinica], V38, P3741
   Sang YF, 2017, NAT HAZARDS, V85, P1291, DOI 10.1007/s11069-016-2614-4
   Schwarz I., 2023, Flood Resilience Assessment and Mapping: A Case Study from Australia's Hawkesbury-Nepean Catchment, V11, P39, DOI [10.3390/cli11020039, DOI 10.3390/CLI11020039]
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Wang YT, 2018, ENVIRON MODELL SOFTW, V107, P85, DOI 10.1016/j.envsoft.2018.06.010
   Xu M, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.540473
   Xu WP, 2022, WATER-SUI, V14, DOI 10.3390/w14121942
   Xue JF, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.1002231
   [周宏 Zhou Hong], 2018, [灾害学, Journal of Catastrophology], V33, P147
   Zhou RT, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-20882-5
   Zhu ZF, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104485
NR 22
TC 0
Z9 0
U1 33
U2 33
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD APR
PY 2025
VL 651
AR 132597
DI 10.1016/j.jhydrol.2024.132597
EA DEC 2024
PG 15
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA S9Y0B
UT WOS:001401675400001
DA 2025-04-22
ER

PT J
AU Zhang, JM
   Wang, T
AF Zhang, Jiaming
   Wang, Tao
TI Urban resilience under the COVID-19 pandemic: A quantitative assessment
   framework based on system dynamics
SO CITIES
LA English
DT Article
DE Urban resilience; Epidemic response policy; Emergency management; System
   dynamics; Epidemic simulation
ID DISASTERS; EQUITY; MODEL; CITY
AB The COVID-19 pandemic, which lasted for three years, has had a great impact on the public health system, society and economy of cities, revealing the insufficiency of urban resilience under large-scale public health events (PHEs). Given that a city is a networked and multidimensional system with complex interactions, it is helpful to improve urban resilience under PHEs based on system thinking. Therefore, this paper proposes a dynamic and systematic urban resilience framework that incorporates four subsystems (governance, infrastructures, socioeconomy and energy-material flows). The composite index, system dynamics and epidemic simulation model are integrated into the framework to show the nonlinear relationships in the urban system and reflect the changing trend of urban resilience under PHEs. Then, urban resilience under different epidemic scenarios and response policy scenarios is calculated and discussed to provide some suggestions for decisionmakers when faced with the trade-off between the control of PHEs and the maintenance of city operation. The paper concludes that control policies could be adjusted according to the characteristics of PHEs; strict control policies under a severe epidemic could lead to a significant decrease in urban resilience, while a more flexible control strategy can be adopted under a mild epidemic scenario to ensure the normal operation of urban functions. Moreover, the critical functions and impact factors of each subsystem are identified.
C1 [Zhang, Jiaming; Wang, Tao] Chongqing Univ, Sch Publ Policy & Adm, Chongqing 400044, Peoples R China.
C3 Chongqing University
RP Wang, T (corresponding author), Chongqing Univ, Sch Publ Policy & Adm, Chongqing 400044, Peoples R China.
EM wangtaothu@163.com
RI Zhang, Jiaming/GSD-8224-2022
FU National Natural Science Foundation of China [71871235, 72074034,
   72134002]; Key Projects of Philosophy and Social Sciences Research,
   Ministry of Education of China [21JZD029]; Bayu Scholar Program
   [YS2020001]; Chongqing Talents Program [CQYC202105082]; Fundamental
   Research Funds for the Central Universities of China [2021CDSKXYGG013,
   2022CDJSKPY17]
FX This research was supported by the National Natural Science Foundation
   of China (No.71871235, No.72074034, No.72134002) , Key Projects of
   Philosophy and Social Sciences Research, Ministry of Education of China
   (No. 21JZD029) , Bayu Scholar Program (No. YS2020001) , Chongqing
   Talents Program (No. CQYC202105082) , and Fundamental Research Funds for
   the Central Universities of China (No. 2021CDSKXYGG013, No.
   2022CDJSKPY17) .
CR [Anonymous], 2016, Resilience Index Measurement and Analysis-II
   [Anonymous], 2007, Urban Resilience Research Prospectus. A Resilience Alliance Initiative for Transitioning Urban Systems towards Sustainable Futures
   Borsekova K, 2018, INT J DISAST RISK RE, V31, P381, DOI 10.1016/j.ijdrr.2018.05.012
   Botequilha-Leitao A, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102089
   Bozza A, 2017, COMPUT-AIDED CIV INF, V32, P527, DOI 10.1111/mice.12275
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burgos D, 2021, TRANSPORT RES E-LOG, V152, DOI 10.1016/j.tre.2021.102412
   Calder RSD, 2021, ENVIRON SCI TECH LET, V8, P606, DOI 10.1021/acs.estlett.1c00291
   Cao J., 2022, HEALTHCARE, V10
   Cao R, 2020, ISPRS J PHOTOGRAMM, V163, P82, DOI 10.1016/j.isprsjprs.2020.02.014
   Chen YM, 2020, CITIES, V97, DOI 10.1016/j.cities.2019.102563
   Christensen T, 2020, PUBLIC ADMIN REV, V80, P774, DOI 10.1111/puar.13241
   Chu Z, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103304
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Comes T, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000798
   Copeland S, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101799
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Du S., 2022, SUSTAINABILITY-BASEL, V14
   Fan YP, 2019, SCI TOTAL ENVIRON, V662, P446, DOI 10.1016/j.scitotenv.2019.01.252
   Feofilovs M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102328
   Feofilovs M, 2020, ENVIRON CLIM TECHNOL, V24, P249, DOI 10.2478/rtuect-2020-0101
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Forcellini D., 2022, APPL SCI-BASEL, V12
   Galbusera L, 2021, SAFETY SCI, V139, DOI 10.1016/j.ssci.2021.105161
   Galbusera L, 2018, COMPUT-AIDED CIV INF, V33, P1041, DOI 10.1111/mice.12371
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Hodbod A, 2021, EUR ECON REV, V140, DOI 10.1016/j.euroecorev.2021.103953
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Hossain MS, 2020, SCI TOTAL ENVIRON, V730, DOI 10.1016/j.scitotenv.2020.138322
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Hua L, 2023, INT J SUST DEV WORLD, V30, P402, DOI 10.1080/13504509.2022.2155882
   Jia SW, 2022, ENVIRON SCI POLLUT R, V29, P3944, DOI 10.1007/s11356-021-15902-2
   Jiang DY, 2022, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.787190
   Kim D, 2018, FUTURES, V102, P89, DOI 10.1016/j.futures.2018.05.001
   Kontogiannis T, 2021, SAFETY SCI, V134, DOI 10.1016/j.ssci.2020.105077
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Koren D, 2017, IOP CONF SER-MAT SCI, V245, DOI 10.1088/1757-899X/245/6/062011
   Kumar M, 2022, OPER MANAGE RES, V15, P1198, DOI 10.1007/s12063-022-00272-w
   Laguna-Salvado L, 2019, ANN OPER RES, V283, P1303, DOI 10.1007/s10479-018-2882-3
   Lazo J., 2022, RENEW SUST ENERG REV, V158
   Li G. J., 2020, RESOUR CONSERV RECY, V161, P10
   Li GJ, 2021, CITIES, V114, DOI 10.1016/j.cities.2021.103206
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li YH, 2021, EUR J OPER RES, V291, P1117, DOI 10.1016/j.ejor.2020.09.053
   Li ZH, 2022, INT J ELEC POWER, V140, DOI 10.1016/j.ijepes.2022.108084
   Marasco S, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102506
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mena C, 2022, J BUS RES, V138, P77, DOI 10.1016/j.jbusres.2021.08.064
   Mou Y, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125719
   Ntounis N, 2022, CURR ISSUES TOUR, V25, P46, DOI 10.1080/13683500.2021.1883556
   Pagano A, 2019, SCI TOTAL ENVIRON, V690, P543, DOI 10.1016/j.scitotenv.2019.07.059
   Parida VK, 2022, J ENVIRON MANAGE, V308, DOI 10.1016/j.jenvman.2022.114609
   Paydar M, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18147461
   Pelorosso R, 2017, LANDSCAPE URBAN PLAN, V168, P22, DOI 10.1016/j.landurbplan.2017.10.002
   Phonphoton N, 2019, WASTE MANAGE, V87, P525, DOI 10.1016/j.wasman.2019.02.036
   Qian JL, 2021, COMPUT ENVIRON URBAN, V85, DOI 10.1016/j.compenvurbsys.2020.101552
   Ran R, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.1067339
   Sachs J., 2021, Sustainable development report
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Sharma J, 2021, J AGRIBUS DEV EMERG, V11, P452, DOI 10.1108/JADEE-09-2020-0194
   Shehabi M., 2022, ECON MODEL, V112
   Shen Y, 2016, CITIES, V55, P9, DOI 10.1016/j.cities.2016.03.013
   Shi CY, 2022, BMC PUBLIC HEALTH, V22, DOI 10.1186/s12889-021-12419-8
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Southwick SM, 2014, EUR J PSYCHOTRAUMATO, V5, DOI 10.3402/ejpt.v5.25338
   Tai ZL, 2021, J ADV TRANSPORT, V2021, DOI 10.1155/2021/9689391
   Tariq H, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102358
   Teixeira JF, 2021, TRANSPORT RES F-TRAF, V82, P378, DOI 10.1016/j.trf.2021.09.016
   Thakur V, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103907
   Tu W, 2017, INT J GEOGR INF SCI, V31, P2331, DOI 10.1080/13658816.2017.1356464
   Valenzuela-Levi N, 2021, TRANSPORT POLICY, V109, P48, DOI 10.1016/j.tranpol.2021.05.006
   Wang F., 2021, INT J ENV RES PUB HE, V18
   Wang H, 2021, J URBAN MANAG, V10, P255, DOI 10.1016/j.jum.2021.06.006
   Wang T, 2019, PROD OPER MANAG, V28, P2699, DOI 10.1111/poms.13074
   Wang Y., 2022, International Journal of Environmental Research and Public Health, V19
   Wang Y. N., 2019, SUSTAINABILITY-BASEL, V11, P13
   Xia XX, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18010242
   Yan R, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.897731
   Ye C, 2021, ENVIRON PLAN B-URBAN, V48, P1430, DOI 10.1177/2399808320935467
   Zarghami SA, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102258
   Zhang J, 2021, NAT HAZARDS, V107, P447, DOI 10.1007/s11069-021-04590-3
NR 83
TC 36
Z9 38
U1 94
U2 284
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD MAY
PY 2023
VL 136
AR 104265
DI 10.1016/j.cities.2023.104265
EA MAR 2023
PG 20
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA C5RQ8
UT WOS:000962489800001
PM 36883169
OA Green Published
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Pan, SJ
   Zhao, ZY
   Lim, HW
   Li, N
   Fang, DP
AF Pan, Shengjie
   Zhao, Zeyu
   Lim, Huey Wen
   Li, Nan
   Fang, Dongping
TI Restored quality of life-based approach (REQUALIFE) for urban seismic
   resilience assessment: Quantitative method
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban seismic resilience; City performance; Post -disaster quality of
   life; Need indicators; Performance -based method
ID CONCEPTUAL-FRAMEWORK; INDICATORS; SYSTEM; NEEDS; ACCESSIBILITY;
   INTEGRATION; RECOVERY; METRICS
AB With rapid urbanization, today's cities are increasingly vulnerable to unpredictable and cata-strophic environmental hazards such as earthquakes. A quantitative approach for seismic resil-ience assessment at the urban scale is still a challenging task because of the extreme complexity of urban systems. This study proposes a Restored Quality of Life-based Approach to evaluate urban seismic resilience. First, extensive literature is reviewed and analyzed to determine the mathe-matical definition of urban seismic resilience. Performance-based methods are selected, and urban seismic resilience is calculated by comparing desired city performance with actual city performance after an earthquake. Second, the concept of post-disaster quality of life is applied to indicate the city performance. A set of indicators is constructed preliminarily based on literature to measure the quality of life and is then validated by a Delphi survey. Finally, a framework is recommended to apply the proposed approach. The Restored Quality of Life-based Approach offers an effective tool for evaluating and improving the urban seismic resilience of a city and lays a theoretical and methodological foundation for better insights into and analysis of the urban seismic resilience in the future.
C1 [Pan, Shengjie; Zhao, Zeyu; Li, Nan; Fang, Dongping] Tsinghua Univ, Dept Construct Management, Beijing, Peoples R China.
   [Lim, Huey Wen] Univ Melbourne, Fac Architecture, Bldg & Planning, Melbourne, Vic, Australia.
C3 Tsinghua University; University of Melbourne
RP Fang, DP (corresponding author), Tsinghua Univ, Dept Construct Management, Beijing, Peoples R China.
EM thupsj13@163.com; zhaozy21@mails.tsinghua.edu.cn;
   hueywen.lim@unimelb.edu.au; nanli@tsinghua.edu.cn;
   fangdp@tsinghua.edu.cn
RI zhao, zeyu/GQB-3165-2022; Lim, Hueywen/GOP-1932-2022; Li,
   Nan/IXD-8260-2023
OI Lim, Huey Wen/0000-0003-2711-6540; Pan, Shengjie/0000-0002-4202-0865
FU National Natural Science Foundation of China (NSFC) [U1709212,
   71974106]; National Key Research and Development Program of China
   [2018YFC0809900]; Beijing Natural Science Foundation (BJNSF) [8202027]
FX Acknowledgements This material is based on work supported by the
   National Natural Science Foundation of China (NSFC) under Grant Nos.
   U1709212 and 71974106, the National Key Research and Development Program
   of China under Grant No. 2018YFC0809900, and the Beijing Natural Science
   Foundation (BJNSF) under Grant No. 8202027. Any opinions, findings,
   conclusions, or recommendations expressed in this paper are those of the
   authors and do not necessarily reflect the views of the funding
   agencies. The authors are thankful to the experts for providing valuable
   advice on this work.
CR [Anonymous], 2017, Disaster Resilience Scorecard for Cities: Detailed Level Assessment
   [Anonymous], 2018, Sustainable cities and communities - Indicators for city services and quality of life
   [Anonymous], NIST SPECIAL PUBLICA, DOI [DOI 10.6028/NIST.SP.1190V2, 10.6028/NIST.SP.1190v1, DOI 10.6028/NIST.SP.1190V1]
   [Anonymous], 2011, HUM CHART MIN STAND
   Appau S, 2019, APPL ECON, V51, P1748, DOI 10.1080/00036846.2018.1528340
   Ariccio S, 2020, J ENVIRON PSYCHOL, V70, DOI 10.1016/j.jenvp.2020.101431
   Arup, 2014, CIT RES FRAM
   Basaglia A., 2019, IABSE S 2019 RES BUI
   Bhattacharjee M, 2019, INDIAN J GEND STUD, V26, P96, DOI 10.1177/0971521518811172
   BRECKENRIDGE RP, 1995, ENVIRON MONIT ASSESS, V36, P45, DOI 10.1007/BF00546984
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Campbell KB, 2019, J TRANSP GEOGR, V74, P77, DOI 10.1016/j.jtrangeo.2018.08.002
   Chang Y, 2011, DISASTERS, V35, P739, DOI [10.1111/j.1467-7717.2010.01240.x, 10.1111/j.1467-7717.2011.01240.x]
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   EM-DAT, 2020, CRED CRUNCH 61 HUM C
   Fang DP., 2020, ENG MECH, V37, P28
   Feofilovs M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102328
   Flores AB, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101521
   GFDRR, 2013, POSTD NEEDS ASS GUID, VA
   Ghannad P, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000799
   Gilbert S.W., 2015, 1197 NIST SP
   Guida C, 2021, CITIES, V110, DOI 10.1016/j.cities.2020.103038
   Hallowell MR, 2010, J CONSTR ENG M, V136, P99, DOI 10.1061/(ASCE)CO.1943-7862.0000137
   Hayashi Y., 2016, Resilience for empowering the regions-National grand design making good use of traditional knowledge and big data
   He C, 2018, IEEE T POWER SYST, V33, P5787, DOI 10.1109/TPWRS.2018.2820383
   Heinzlef C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102762
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Hua Y, 2020, J CONSTR ENG M, V146, DOI 10.1061/(ASCE)CO.1943-7862.0001798
   ISO, 2019, ISO 37123
   ISO [International Standards Organization], 2019, 37122 ISO
   Khare A, 2020, OR SPECTRUM, V42, P693, DOI 10.1007/s00291-019-00559-8
   Kiran KC, 2020, SOCIO-ECON PLAN SCI, V69, DOI 10.1016/j.seps.2018.11.010
   Kolwaite AR, 2013, DISASTER MED PUBLIC, V7, P597, DOI 10.1017/dmp.2013.110
   Korteweg HA, 2010, BMC PUBLIC HEALTH, V10, DOI 10.1186/1471-2458-10-295
   Levine J, 2020, TRANSPORT RES D-TR E, V83, DOI 10.1016/j.trd.2020.102309
   Li ZS, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000814
   Lim HW, 2021, J MANAGE ENG, V37, DOI 10.1061/(ASCE)ME.1943-5479.0000861
   Lin PH, 2017, STRUCT SAF, V69, P96, DOI 10.1016/j.strusafe.2017.05.002
   Links JM, 2018, DISASTER MED PUBLIC, V12, P127, DOI 10.1017/dmp.2017.39
   Liu BS, 2020, EUR J OPER RES, V286, P321, DOI 10.1016/j.ejor.2020.03.017
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   Maclaren VW, 1996, J AM PLANN ASSOC, V62, P184, DOI 10.1080/01944369608975684
   Mao Q, 2021, J MANAGE ENG, V37, DOI 10.1061/(ASCE)ME.1943-5479.0000964
   Mao Q, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101916
   Maslow AH, 1943, PSYCHOL REV, V50, P370, DOI 10.1037/h0054346
   Miller EJ, 2018, TRANSPORT REV, V38, P551, DOI 10.1080/01441647.2018.1492778
   Miller S, 2020, J AM PLANN ASSOC, V86, P339, DOI 10.1080/01944363.2020.1730223
   MirMohamadaliIe M, 2019, PREHOSP DISASTER MED, V34, P20, DOI 10.1017/S1049023X18001243
   Nan C, 2017, RELIAB ENG SYST SAFE, V157, P35, DOI 10.1016/j.ress.2016.08.013
   Nardo M., 2005, OECD Statistics Working Papers 2005/03 Handbook on Constructing Composite Indicators: Methodology and User Guide, DOI DOI 10.1787/533411815016
   Pan SJ, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103170
   Panteli M, 2017, IEEE T POWER SYST, V32, P4732, DOI 10.1109/TPWRS.2017.2664141
   Paul BK, 2017, NAT HAZARDS, V85, P1169, DOI 10.1007/s11069-016-2627-z
   Peng C, 2017, SUSTAIN CITIES SOC, V29, P86, DOI 10.1016/j.scs.2016.12.003
   Qiang Y, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102115
   Qorri A, 2018, J CLEAN PROD, V189, P570, DOI 10.1016/j.jclepro.2018.04.073
   Hong QN, 2019, J CLIN EPIDEMIOL, V111, P49, DOI 10.1016/j.jclinepi.2019.03.008
   Quinlisk P, 2011, DISASTER MED PUBLIC, V5, P287, DOI 10.1001/dmp.2011.82
   Reed MS, 2006, ECOL ECON, V59, P406, DOI 10.1016/j.ecolecon.2005.11.008
   Rouhanizadeh B, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102505
   Rubio JL, 1998, J ARID ENVIRON, V39, P113, DOI 10.1006/jare.1998.0402
   Schnall AH, 2019, DISASTER MED PUBLIC, V13, P53, DOI 10.1017/dmp.2019.6
   Sharifi A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155918
   Shen LY, 2020, RESOUR CONSERV RECY, V154, DOI 10.1016/j.resconrec.2019.104616
   Spangenberg JH, 2015, ROUT INT HANDB, P308
   Sung CH, 2020, WATER-SUI, V12, DOI 10.3390/w12051401
   Yang YF, 2018, SUSTAIN CITIES SOC, V42, P407, DOI 10.1016/j.scs.2018.07.013
   Zhao ZY, 2012, J CLEAN PROD, V29-30, P277, DOI 10.1016/j.jclepro.2011.12.036
NR 70
TC 14
Z9 16
U1 11
U2 105
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 2022
VL 79
AR 103169
DI 10.1016/j.ijdrr.2022.103169
EA AUG 2022
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 4X2ER
UT WOS:000860661400012
DA 2025-04-22
ER

PT J
AU Gu, Y
   Sun, JY
   Cai, JM
   Xie, YW
   Guo, JH
AF Gu, Yi
   Sun, Jinyu
   Cai, Jianming
   Xie, Yanwen
   Guo, Jiahao
TI Urban Planning Perspective on Food Resilience Assessment and Practice in
   the Zhengzhou Metropolitan Area, China
SO LAND
LA English
DT Article
DE urban food resilience; food systems; resilience assessment; urban
   planning; metropolitan area
ID LAND-USE CHANGE; CLIMATE-CHANGE; URBANIZATION; SECURITY; VULNERABILITY;
   SYSTEM; IMPACT; ADAPTABILITY; EXPANSION; WORLD
AB This study aims to assess and analyze the urban food resilience of the Zhengzhou metropolitan area, proposing innovative assessment frameworks and methodologies. Utilizing a dual-level analysis approach that combines long-term planning impact analysis (2000-2020) with short-term resilience assessment (2018-2022), the study integrates public government data and Geographic Information System (GIS) data, employing spatial analysis, Analytic Hierarchy Process (AHP), and fuzzy comprehensive evaluation techniques. Findings from 2000 to 2020 indicate that urban planning within the metropolitan area has significantly impacted the food system. Urbanization has led to reduced agricultural land, but improvements in infrastructure have enhanced the efficiency of the food supply chain. Woodland and grassland areas have remained relatively stable, providing an ecological buffer for the food system. Building on this, the short-term assessment from 2018 to 2022 reveals significant dynamic changes and a continuous improvement trend in food resilience, though there is still room for enhancement. Food supply chain management and emergency preparedness and management contributed the most to overall resilience. Notably, extreme events such as the COVID-19 pandemic and the "7.20 Flood Disaster" prompted the adoption of innovative measures to enhance food resilience. The study develops a multidimensional theoretical framework and assessment system for urban food resilience, offering new perspectives and methods for understanding and enhancing urban food resilience. The results highlight the critical role of urban planning in enhancing food resilience, recommending the integration of the food system into comprehensive urban planning, strengthening regional collaboration, and enhancing public engagement. These findings provide an important basis for policymaking and practice aimed at improving the long-term adaptability and short-term recovery capabilities of urban food systems.
C1 [Gu, Yi; Sun, Jinyu; Xie, Yanwen; Guo, Jiahao] Zhengzhou Univ, Sch Architecture, Zhengzhou 450001, Peoples R China.
   [Cai, Jianming] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Zhengzhou 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, Beijing 100101, Peoples R China.
EM guyibigshot@zzu.edu.cn; sunjinyu@gs.zzu.edu.cn; caijm@igsnrr.ac.cn;
   xieyanwen@gs.zzu.edu.cn; guojiahao@gs.zzu.edu.cn
RI Sun, Jinyu/GPX-2732-2022
OI sun, jin yu/0009-0005-5485-0814; Gu, Yi/0000-0001-8100-4457
FU Henan Provincial Social Science Planning Special Project (2023-2024)
   [2023-2024, 2023ZT014]; Henan Provincial Social Science Planning Special
   Project [2025-2026, 2025-ZDJH-025]; Humanities and Social Sciences
   Research Project of Henan Provincial Department of Education
FX This research was funded by Henan Provincial Social Science Planning
   Special Project (2023-2024), grant number: 2023ZT014 and the Humanities
   and Social Sciences Research Project of Henan Provincial Department of
   Education (2025-2026), grant number: 2025-ZDJH-025.
CR Bai XM, 2017, ANNU REV ENV RESOUR, V42, P215, DOI 10.1146/annurev-environ-102016-061128
   Barthel S, 2015, URBAN STUD, V52, P1321, DOI 10.1177/0042098012472744
   Barthel S, 2013, ECOL ECON, V86, P224, DOI 10.1016/j.ecolecon.2012.06.018
   Béné C, 2020, FOOD SECUR, V12, P805, DOI 10.1007/s12571-020-01076-1
   Béné C, 2016, FOOD SECUR, V8, P123, DOI 10.1007/s12571-015-0526-x
   Blay-Palmer A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051680
   Bryan BA, 2018, NATURE, V559, P193, DOI 10.1038/s41586-018-0280-2
   Cohen MJ, 2010, ENVIRON URBAN, V22, P467, DOI 10.1177/0956247810380375
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   d'Amour CB, 2017, P NATL ACAD SCI USA, V114, P8939, DOI 10.1073/pnas.1606036114
   Doherty B, 2014, INT J MANAG REV, V16, P417, DOI 10.1111/ijmr.12028
   Eckert Sophie, 2014, World Health Popul, V15, P7, DOI 10.12927/whp.2014.23722
   Ericksen PJ, 2008, GLOBAL ENVIRON CHANG, V18, P234, DOI 10.1016/j.gloenvcha.2007.09.002
   Fan SG, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2021.100501
   Fang CL, 2017, LANDSCAPE URBAN PLAN, V162, P126, DOI 10.1016/j.landurbplan.2017.02.014
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gao J, 2017, J CLEAN PROD, V163, pS148, DOI 10.1016/j.jclepro.2016.01.049
   Garnett P, 2020, NAT FOOD, V1, P315, DOI 10.1038/s43016-020-0097-7
   Goepel K.D., 2013, Proceedings of the International Symposium on the Analytic Hierarchy Process, V2013, P1, DOI [10.13033/isahp.y2013.047, DOI 10.13033/ISAHP.Y2013.047]
   Gu CL, 2017, CHINESE GEOGR SCI, V27, P847, DOI 10.1007/s11769-017-0911-9
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   He CY, 2017, SCI TOTAL ENVIRON, V576, P660, DOI 10.1016/j.scitotenv.2016.10.107
   Henan Province Bureau of Statistics, 2021, Statistical Bulletin of National Economic and Social Development of Henan Province in 2020
   Henan Province Bureau of Statistics, 2022, Statistical Bulletin of National Economic and Social Development of Henan Province for 2021
   Henan Province Bureau of Statistics, 2021, The Cost of Falling Quantity and Price Increased with the Increase of Planting Income
   Henan Provincial Development and Reform Commission, 2021, Outline of the 14th Five-Year Plan of Henan Province
   Hobbs JE, 2020, CAN J AGR ECON, V68, P171, DOI 10.1111/cjag.12237
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kahraman C, 2008, SPRINGER SER OPTIM A, V16, P1, DOI 10.1007/978-0-387-76813-7
   Li Y, 2023, J ASIAN ARCHIT BUILD, V22, P3782, DOI 10.1080/13467581.2023.2208195
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Liu YS, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105699
   Liu YG, 2012, CITIES, V29, P107, DOI 10.1016/j.cities.2011.08.003
   Longley P.A., 2015, Geographic information science and systems
   Martin Amory, 2020, Econ Disaster Clim Chang, V4, P453, DOI 10.1007/s41885-020-00070-3
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meuwissen MPM, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102656
   Ministry of Agriculture and Rural Affairs of China, 2021, National Grain Production Data Statistics for 2020
   Moragues-Faus A, 2015, ENVIRON PLANN A, V47, P1558, DOI 10.1177/0308518X15595754
   Mu E, 2018, SPRINGER OPER RES, P7, DOI 10.1007/978-3-319-68369-0_2
   Ning J, 2018, J GEOGR SCI, V28, P547, DOI 10.1007/s11442-018-1490-0
   Pinstrup-Andersen P, 2009, FOOD SECUR, V1, P5, DOI 10.1007/s12571-008-0002-y
   Pontius RG, 2004, AGR ECOSYST ENVIRON, V101, P251, DOI 10.1016/j.agee.2003.09.008
   Pothukuchi K, 2000, J AM PLANN ASSOC, V66, P113, DOI 10.1080/01944360008976093
   Prosperi Paolo, 2016, Environment Systems & Decisions, V36, P3, DOI 10.1007/s10669-016-9584-7
   Pulighe G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125012
   Reardon T., 2020, Covid-19 and global food security
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Saaty T.L., 2008, INT J SERV SCI, V1, P83, DOI [10.1504/IJSSCI.2008.017590, DOI 10.1504/IJSSCI.2008.017590]
   Satterthwaite D, 2010, PHILOS T R SOC B, V365, P2809, DOI 10.1098/rstb.2010.0136
   Schipanski ME, 2016, BIOSCIENCE, V66, P600, DOI 10.1093/biosci/biw052
   Seto KC, 2016, SCIENCE, V352, P943, DOI 10.1126/science.aaf7439
   Sonnino R, 2019, CITIES, V85, P110, DOI 10.1016/j.cities.2018.08.008
   Tendall DM, 2015, GLOB FOOD SECUR-AGR, V6, P17, DOI 10.1016/j.gfs.2015.08.001
   Walker B, 2004, ECOL SOC, V9
   Wang SW, 2024, APPL SCI-BASEL, V14, DOI 10.3390/app14051839
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Wiskerke JSC, 2015, EARTHSCAN FOOD AGRIC, P1
   Wolfert S, 2017, AGR SYST, V153, P69, DOI 10.1016/j.agsy.2017.01.023
   Worstell J, 2017, J AGRIC FOOD SYST CO, V7, P23, DOI 10.5304/jafscd.2017.073.001
   Xu XY, 2021, J CLEAN PROD, V294, DOI 10.1016/j.jclepro.2021.126147
   Ye G., 2021, Zhengzhou Urban Development Report (2021)
   Zhan Y, 2021, AGR SYST, V190, DOI 10.1016/j.agsy.2021.103102
   Zhang C., 2024, Measurement: Sensors, V32, P101079, DOI [10.1016/j.measen.2024.101079, DOI 10.1016/J.MEASEN.2024.101079]
   Zhang FS, 2013, NATURE, V497, P33, DOI 10.1038/497033a
   Zhang PP, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2022.109810
   Zhang YS, 2015, SUSTAINABILITY-BASEL, V7, P10365, DOI 10.3390/su70810365
   Zhou Z.-Y., 2014, Food Consumption in China: The Revolution Continues
NR 69
TC 1
Z9 1
U1 26
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD OCT
PY 2024
VL 13
IS 10
AR 1625
DI 10.3390/land13101625
PG 27
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA K2C7T
UT WOS:001342016100001
OA gold
DA 2025-04-22
ER

PT J
AU Djordjevic, S
   Butler, D
   Gourbesville, P
   Mark, O
   Pasche, E
AF Djordjevic, Slobodan
   Butler, David
   Gourbesville, Philippe
   Mark, Ole
   Pasche, Erik
TI New policies to deal with climate change and other drivers impacting on
   resilience to flooding in urban areas: the CORFU approach
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Urban flooding; Resilience; Collaborative research; Urban growth;
   Climate change
AB In the context of urban flood management, resilience is equal to resisting, recovering, reflecting and responding. The variety of causes of flooding and their consequences underpin the need for increased and internationally coordinated efforts to enhance technologies and policies for dealing with floods. This paper addresses this issue and presents some novel research ideas related to resilience to flooding in urban areas, which are under development within the EU FP7 project 'Collaborative research on flood resilience in urban areas' (CORFU). The approach adopted in this project aims to quantify the cost-effectiveness of resilience measures and integrative and adaptable flood management plans for different scenarios of relevant drivers: urban development, socio-economic trends and climate changes. It is believed that the way in which the different models are being put together, combined with the variability of conditions in case study areas in Asia and in Europe, will ultimately enable more scientifically sound policies for the management of the consequences of urban flooding. (C) 2011 Elsevier Ltd. All rights reserved.
C1 [Djordjevic, Slobodan; Butler, David] Univ Exeter, Exeter EX4 4QF, Devon, England.
   [Gourbesville, Philippe] Univ Nice Sophia Antipolis, F-06903 Sophia Antipolis, France.
   [Mark, Ole] DHI, DK-2970 Horsholm, Denmark.
   [Pasche, Erik] Hamburg Univ Technol, D-21073 Hamburg, Germany.
C3 University of Exeter; Universite Cote d'Azur; Danish Hydraulic Institute
   (DHI); Hamburg University of Technology
RP Djordjevic, S (corresponding author), Univ Exeter, N Pk Rd, Exeter EX4 4QF, Devon, England.
EM S.Djordjevic@exeter.ac.uk; D.Butler@exeter.ac.uk;
   Philippe.Gourbesville@unice.fr; Ole.Mark@dhigroup.com
RI Gourbesville, Philippe/GQO-9759-2022; Djordjevic, Slobodan/P-8853-2015;
   Butler, David/I-2991-2012
OI Gourbesville, Philippe/0000-0002-1377-6575; Djordjevic,
   Slobodan/0000-0003-1682-1383; Butler, David/0000-0001-5515-3416
FU European Commission [244047]
FX CORFU project is funded by the European Commission through Framework
   Programme 7, Grant Number 244047.
CR [Anonymous], 2011, Moving Forward: A Better World For Women: 2005-10
   [Anonymous], 2002, CLIMATE CHANGE SCENA
   Ashley R., 2007, Advances in Urban Flood Management
   Balmforth D., 2006, INTEGRATED URBAN DRA
   Burton A., 2010, BHS 3 INT S MAN CONS
   Butler D., 2011, Urban Drainage, Vthird
   *CIRIA, 2007, IMPR FLOOD PERF NEW
   *DANVA, 2007, KLIM BET AENDR KRAFT
   *DANVA, 2007, 5 DANVA F U
   *EUR COMM, 2010, 24353 EUR EUR COMM
   GERSONIUS B, 2008, 11 INT C URB DRAIN E
   HENONIN J, 2010, INT MIKE DHI C 6 8 S
   *IBRD WB, 2009, CLIM RES CIT
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   Murphy D, 2009, ROUTL ADV INT RELAT, P101
   Parkinson J., 2005, Urban Stormwater Management in Developing Countries
   PENDER G, 2011, FLOOD SCI MANAGEMENT
   QUEVAUVILLER P, 2010, GEN FEATURES EU WATE, P52
   RENEE JR, 2011, THESIS UNESCO IHE I
   SAMUELS P, 2009, FLOOD RISK MANAGEMEN
   *SCOTT GOV, 2004, PLANN BUILD STAND AD
   *SPILD, 2008, SKRIFT 29 FORV AENDR
   SUNYER MA, ATMOSPHERIC IN PRESS
   VEERBEEK W, 2008, WAT RES SYST MAN EXT, P465
NR 24
TC 91
Z9 105
U1 5
U2 93
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD NOV
PY 2011
VL 14
IS 7
SI SI
BP 864
EP 873
DI 10.1016/j.envsci.2011.05.008
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 830LM
UT WOS:000295658500015
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Zhang, JY
   Zhang, Z
   Song, DJ
   Huang, ZQ
   Lu, LJ
AF Zhang, Junyin
   Zhang, Zhan
   Song, Dongjin
   Huang, Ziqi
   Lu, Linjun
TI A Study on a Framework for Identifying Critical Roads in Urban Road
   Traffic Networks Based on the Resilience Perspective Against the
   Background of Sustainable Development
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE sustainable development; unanticipated disruptive events; urban road
   traffic network; resilience; socio-economic loss; traffic simulation
ID ACCIDENTS
AB Traffic network resilience refers to the ability of a traffic network to maintain a certain capacity and service level even when disturbed by external factors, as well as its capacity to recover following a disruptive event. This paper integrates traffic simulation with resilience analysis of urban road traffic networks and proposes a framework for identifying critical roads in urban road traffic networks from a resilience perspective. This framework is both theoretical and applicable to any unanticipated disruptive event. By incorporating four attribute indicators-traffic, topology, urban function, and socio-economic factors-the framework assesses the importance ranking of each road segment in an urban road traffic network both before and after an unanticipated disruptive event. A case study is conducted using a real urban road traffic network in Shanghai. From the perspective of policymakers, corresponding policy recommendations are made to enhance the resilience of urban road traffic networks against unanticipated disruptive events and to mitigate socio-economic losses.
C1 [Zhang, Junyin] Nanchang Inst Technol, Sch Econ & Trade, Nanchang 330044, Peoples R China.
   [Zhang, Zhan; Song, Dongjin; Huang, Ziqi] Shanghai Jiao Tong Univ, Sch Design, Shanghai 200230, Peoples R China.
   [Lu, Linjun] Shanghai Jiao Tong Univ, Sch Ocean & Civil Engn, Shanghai 200230, Peoples R China.
C3 Nanchang Institute Technology; Shanghai Jiao Tong University; Shanghai
   Jiao Tong University
RP Zhang, Z (corresponding author), Shanghai Jiao Tong Univ, Sch Design, Shanghai 200230, Peoples R China.
EM 2022994822@nit.edu.cn; zhanzhang@sjtu.edu.cn; song_dongjin@sjtu.edu.cn
FU Shanghai Planning Office of Philosophy and Social Science;  [2023BCK007]
FX This research was supported by the Shanghai Planning Office of
   Philosophy and Social Science, grant number 2023BCK007.
CR Aslan B, 2024, INT J SHIP TRANS LOG, V18, DOI 10.1504/IJSTL.2024.140430
   Behnood A, 2015, ANAL METHODS ACCID R, V8, P7, DOI 10.1016/j.amar.2015.08.001
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Grigorev A, 2024, INT J INTELL TRANSP, DOI 10.1007/s13177-024-00437-w
   Hansen M., 1990, Studies on the Loma Prieta Earthquake No. 1. The Shake with Freight: The Impact of the Loma Prieta Earthquake on Bay Area Truckers. Working Paper
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jia JL, 2020, ADV CIV ENG, V2020, DOI 10.1155/2020/8824797
   Li CB, 2021, ADV CIV ENG, V2021, DOI 10.1155/2021/6658299
   Lu YD, 2022, J ADV TRANSPORT, V2022, DOI 10.1155/2022/3682472
   Murray-Tuite P.M., 2006, P 2006 WINT SIM C MO
   Ren R, 2019, TUNN UNDERGR SP TECH, V83, P452, DOI 10.1016/j.tust.2018.10.008
   Sahitya KS, 2024, SLOVAK J CIV ENG, V32, P48, DOI 10.2478/sjce-2024-0013
   Sohouenou PYR, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2020.102672
   Wang DW, 2024, ADV CIV ENG, V2024, DOI 10.1155/2024/8163062
   Wears R., 2006, Resilience Engineering: Concepts and Precepts
   Wesemann L., 1996, TRANSPORTATION RES R, P67, DOI [DOI 10.1177/0361198196155900109, 10.1177/0361198196155900109]
   Xin S, 2019, PROCESS SAF ENVIRON, V121, P307, DOI 10.1016/j.psep.2018.11.003
   Zhang C, 2018, PROCESS SAF ENVIRON, V117, P694, DOI 10.1016/j.psep.2018.06.017
   Zhang N, 2020, TRANSPORT RES D-TR E, V83, DOI 10.1016/j.trd.2020.102281
NR 19
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
J9 APPL SCI-BASEL
JI Appl. Sci.-Basel
PD MAR 25
PY 2025
VL 15
IS 7
AR 3581
DI 10.3390/app15073581
PG 15
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA 1FH8U
UT WOS:001463669600001
OA gold
DA 2025-04-22
ER

PT J
AU Mehryar, S
   Sasson, I
   Surminski, S
AF Mehryar, Sara
   Sasson, Idan
   Surminski, Swenja
TI Supporting urban adaptation to climate change: What role can resilience
   measurement tools play?
SO URBAN CLIMATE
LA English
DT Article
DE Urban climate resilience; Resilience measurement; Decision-making; Urban
   governance; Decision support tools
ID DISASTER RESILIENCE; CITIES; INFORMATION; FRAMEWORK; PATHWAYS; METAPHOR
AB Cities are emerging as leading forces for climate change adaptation and resilience. Many approaches and tools have been developed and used to measure climate resilience in cities. In this study, we explore if and how such tools can be or have been used to support decision-making for building urban climate resilience. We applied a deep analysis of 27 tools developed for measuring urban climate resilience and supplemented it with semi-structured interviews with experts who implemented such tools in over 100 cities around the world. Our analysis shows that only about one-third of these tools are designed to support implementing resilience actions while the rest mainly focus on sharing knowledge and raising awareness. We also observed a prevailing focus on evaluating coping and incremental adaptation capacities (as opposed to transformative capacities) against climate risks in such tools, which tends to trigger short-term fix rather than longterm solutions. Therefore, we argue that urban climate resilience measurement tools need to 1) support action implementation processes as much as assessing outcomes, and 2) consider the enabling environment for enhancing transformative capacities as much as coping and incremental adaptation capacities of cities. Finally, we explore challenges and opportunities of implementing resilience actions drawn from end-users' insights.
C1 [Mehryar, Sara; Surminski, Swenja] London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm, London, England.
   [Sasson, Idan] Climate Policy Initiat, London, England.
C3 University of London; London School Economics & Political Science
RP Mehryar, S (corresponding author), London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm, London, England.
EM s.mehryar@lse.ac.uk
RI Mehryar, Sara/GSE-2683-2022
OI Surminski, Swenja/0000-0003-1270-5545
FU Z Zurich Foundation, Switzerland; Grantham Foundation for the Protection
   of the Environment; ESRC via the Centre for Climate Change Economics and
   Policy [ES/R009708/1]
FX This work was supported by the Z Zurich Foundation, Switzerland; the
   Grantham Foundation for the Protection of the Environment and the ESRC
   via the Centre for Climate Change Economics and Policy under Grant
   number: ES/R009708/1.
CR Acuto M, 2018, SCIENCE, V359, P165, DOI 10.1126/science.aao2728
   [Anonymous], 2015, Turning Knowledge into Action Processes and Tools for Increasing Flood Resilience
   Argüeso D, 2014, CLIM DYNAM, V42, P2183, DOI 10.1007/s00382-013-1789-6
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Bellinson R, 2019, J ENVIRON POL PLAN, V21, P76, DOI 10.1080/1523908X.2018.1493916
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Birchall SJ, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100859
   Broto VC, 2019, AMBIO, V48, P449, DOI 10.1007/s13280-018-1086-z
   Brown C, 2018, ENVIRON DEV SUSTAIN, V20, P23, DOI 10.1007/s10668-016-9891-7
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Campbell KA, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101257
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Clare A, 2017, GLOBAL ENVIRON CHANG, V46, P17, DOI 10.1016/j.gloenvcha.2017.07.001
   Colloff MJ, 2021, ENVIRON SCI POLICY, V124, P163, DOI 10.1016/j.envsci.2021.06.014
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Deubelli TM, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd42d
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Golding Nicola, 2017, Climate Services, V5, P39, DOI 10.1016/j.cliser.2017.03.004
   Grimmond S, 2007, GEOGR J, V173, P83, DOI 10.1111/j.1475-4959.2007.232_3.x
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Hewitt CD, 2017, NAT CLIM CHANGE, V7, P614, DOI 10.1038/nclimate3378
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hughes S, 2020, NAT CLIM CHANGE, V10, P1085, DOI 10.1038/s41558-020-00953-z
   Hughes S, 2015, URBAN CLIM, V14, P1, DOI 10.1016/j.uclim.2015.07.002
   Jones L, 2017, CLIM POLICY, V17, P551, DOI 10.1080/14693062.2016.1191008
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keating A, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101355
   Keating A, 2017, DEV POLICY REV, V35, P65, DOI 10.1111/dpr.12201
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Khazai B., 2015, A Guide to Measuring Urban Risk Resilience: Principles, Tools and Practice of Urban Indicators
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/nclimate1614, 10.1038/NCLIMATE1614]
   LTS DFID, 2020, EN CLIM SCI US BETT
   Malekpour S, 2015, CITIES, V46, P67, DOI 10.1016/j.cities.2015.05.003
   Marschütz B, 2020, CLIM RISK MANAG, V28, DOI 10.1016/j.crm.2020.100223
   McDermott TKJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0300
   Mechler R, 2019, CLIM RISK MANAGE POL, P1, DOI 10.1007/978-3-319-72026-5
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mehryar S, 2021, CLIM POLICY, V21, P133, DOI 10.1080/14693062.2020.1808439
   Mehryar Sara, 2020, ROLE NATL LAWS MANAG
   Menoni S, 2012, NAT HAZARDS, V64, P2057, DOI 10.1007/s11069-012-0134-4
   Mi ZF, 2019, J CLEAN PROD, V207, P582, DOI 10.1016/j.jclepro.2018.10.034
   Mitchell T., 2012, ODI background note, P1
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Novalia W, 2020, ENVIRON SCI POLICY, V112, P361, DOI 10.1016/j.envsci.2020.07.009
   Ostadtaghizadeh Abbas, 2015, PLoS Curr, V7, DOI 10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Parker DennisJ., 1998, J CONTING CRISIS MAN, V6, P45, DOI [DOI 10.1111/1468-5973.00067, 10.1111/1468-5973.00067]
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Quay R, 2010, J AM PLANN ASSOC, V76, P496, DOI 10.1080/01944363.2010.508428
   Reed SO, 2013, ENVIRON URBAN, V25, P393, DOI 10.1177/0956247813501136
   Rickards L, 2014, ENVIRON PLANN C, V32, P641, DOI 10.1068/c12106
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sharifi A, 2016, INT J DISAST RISK RE, V18, P115, DOI 10.1016/j.ijdrr.2016.06.006
   Singh C, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100783
   Soares MB, 2018, CLIM SERV, V9, P5, DOI 10.1016/j.cliser.2017.06.001
   Southwick SM, 2014, EUR J PSYCHOTRAUMATO, V5, DOI 10.3402/ejpt.v5.25338
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Surminski S, 2017, EARTHS FUTURE, V5, P966, DOI 10.1002/2016EF000497
   Swart R, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100227
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Walker B, 2002, CONSERV ECOL, V6
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   Wolff C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70928-9
NR 76
TC 43
Z9 44
U1 21
U2 125
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 101047
DI 10.1016/j.uclim.2021.101047
EA DEC 2021
PG 17
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 XS5ZF
UT WOS:000732986000005
OA Green Submitted, Green Accepted
DA 2025-04-22
ER

PT J
AU Wang, ZR
   Fu, HQ
   Zhou, L
AF Wang, Zongrun
   Fu, Haiqin
   Zhou, Ling
TI Multiple urban resilience evaluation of resource-based cities'
   sustainable transformation effect
SO RESOURCES CONSERVATION AND RECYCLING
LA English
DT Article
DE Entropy weight method; Urban resilience; Sustainable development
   transformation; Resource-based cities
ID INFERENCE; MODEL
AB Improving urban resilience is a key goal in the transformation of resource-based cities. This study examines the impact of sustainable development transitions in resource-based cities on urban ecology, economy, infrastruc-ture, and social resilience. We measure the resilience of 285 prefecture-level cities in China by using the entropy weight method. In particular, we estimate the transformation effects of 121 resource-based cities from multiple resilience perspectives. The main empirical results show that all sub-resilience shows an obvious upward trend. Moreover, the economic, social, and infrastructure resilience have a spatial aggregation effect. Transitions to-wards sustainable development can make significant positive contributions to ecological resilience in resource-based cities, but it can also negatively impact social resilience. Therefore, governments need to address the social issues that can arise during transitions. This study provides a theoretical basis to inform government policy adjustments.
C1 [Wang, Zongrun; Fu, Haiqin; Zhou, Ling] Cent South Univ, Sch Business, Changsha 410087, Peoples R China.
C3 Central South University
RP Zhou, L (corresponding author), Cent South Univ, Sch Business, Changsha 410087, Peoples R China.
EM zhouling0205@csu.edu.cn
RI Liu, Linpeng/HLV-7223-2023
FU National Natural Science Foundation of China [72091515]
FX Acknowledgements This work was supported by National Natural Science
   Foundation of China [No. 72091515] .
CR Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Assembly U. G., 2015, TRANSF OUR WORLD 203
   Auty R.M., 1993, SUSTAINABLE DEV MINE
   Bahadur AV, 2015, INT J URBAN SUSTAIN, V7, P196, DOI 10.1080/19463138.2015.1060595
   Belloni A, 2014, REV ECON STUD, V81, P608, DOI 10.1093/restud/rdt044
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Carver CS, 1998, J SOC ISSUES, V54, P245, DOI 10.1111/0022-4537.641998064
   Cavalli L., 2020, SDSN ITALIA SDGS CIT
   Cheng L, 2020, CURR ISSUES TOUR, V23, P2602, DOI 10.1080/13683500.2019.1711029
   Cimellaro GP, 2014, EARTHQ ENG STRUCT D, V43, P1763, DOI 10.1002/eqe.2422
   Ding L, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080746
   Du MB, 2020, HABITAT INT, V102, DOI 10.1016/j.habitatint.2020.102206
   Feofilovs M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102328
   He CC, 2017, ECOL INDIC, V80, P106, DOI 10.1016/j.ecolind.2017.05.008
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu B, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.876558
   HWANG CL, 1993, COMPUT OPER RES, V20, P889, DOI 10.1016/0305-0548(93)90109-V
   Kendra J.M., 1999, SHARED RISK COMPLEX, V1st, pxxx
   Leadbeater C., 1998, CIVIC ENTREPRENEURSH
   Li HJ, 2013, ENERG POLICY, V55, P251, DOI 10.1016/j.enpol.2012.12.007
   Liu YQ, 2022, RENEW SUST ENERG REV, V153, DOI 10.1016/j.rser.2021.111779
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Östh J, 2015, COMPUT ENVIRON URBAN, V49, P148, DOI 10.1016/j.compenvurbsys.2014.07.007
   Pietro F.D., 2021, SPATIAL EC ANAL, V16
   Sachs J. D., 2022, Sustainable development report 2020:Te Sustainable Development Goals and COVID-19, DOI https://doi.org/10.1017/9781009210058
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   [时朋飞 Shi Pengfei], 2018, [中国软科学, China Soft Science], P86
   Sliwa M, 2017, HABITAT INT, V66, P1, DOI 10.1016/j.habitatint.2017.05.003
   Sun LY, 2017, ECOL INDIC, V73, P554, DOI 10.1016/j.ecolind.2016.10.018
   Tseng ML, 2018, INT J PROD ECON, V205, P30, DOI 10.1016/j.ijpe.2018.08.024
   Wang YJ, 2022, RESOUR CONSERV RECY, V180, DOI 10.1016/j.resconrec.2022.106181
   Woodruff S, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103239
   Wu X, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102354
   Xu YQ, 2017, POLIT ANAL, V25, P57, DOI 10.1017/pan.2016.2
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang Y, 2021, ECOL SOC, V26, DOI 10.5751/ES-12280-260220
   Zhang W, 2020, COMPLEXITY, V2020, DOI 10.1155/2020/6616988
   [周宏浩 Zhou Honghao], 2020, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V34, P50
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
NR 41
TC 33
Z9 34
U1 51
U2 269
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 APR
PY 2023
VL 191
AR 106912
DI 10.1016/j.resconrec.2023.106912
EA FEB 2023
PG 8
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA H1NC3
UT WOS:000993688800001
DA 2025-04-22
ER

PT J
AU Therrien, MC
   Normandin, JM
   Paterson, S
   Pelling, M
AF Therrien, Marie-Christine
   Normandin, Julie-Maude
   Paterson, Shona
   Pelling, Mark
TI Mapping and weaving for urban resilience implementation: A tale of two
   cities
SO CITIES
LA English
DT Article
DE Resilience; Implementation; Agenda setting; Urban governance;
   Collaboration
ID CLIMATE-CHANGE; ADAPTATION; GOVERNANCE
AB As urban resilience has become a public policy objective and has been increasingly present and at the forefront of the urban political agenda, local authorities are recognized as key actors in this implementation process. Urban civil servants responsible for resilience lack a clear and common objective to create an outcome, however they recognize that implementation requires moving from the stovepipe administration suited to predictable problems to collaborative networks focused on preparedness and the reduction of vulnerabilities. This comparative case study examines how urban resilience agenda setting and implementation processes intertwine in London and Montreal in the early stages of the development of their urban resilience policy. This paper identifies the challenges faced by urban civil servants working to achieve coordination and change in an uncertain context towards an ill-defined destination. Efforts, evident in both cities, to combine crisis management priorities with long-term planning to face issues such as climate change, appear as a trigger to incrementaly implement and transform governance mechanisms in order to combine mapping interdependent issues and weaving coordination.
C1 [Therrien, Marie-Christine; Normandin, Julie-Maude] Ecole Natl Adm Publ, 4750 Rue Henri Julien, Montreal, PQ H2T 3E5, Canada.
   [Paterson, Shona] Brunel Univ London, Kingston Lane, Uxbridge UB8 3PH, Middx, England.
   [Pelling, Mark] Kings Coll London, Bush House North East Wing,40 Aldwych, London WC2B 4BG, England.
C3 University of Quebec; Ecole National Administration Publique Canada;
   Brunel University; University of London; King's College London
RP Therrien, MC (corresponding author), Ecole Natl Adm Publ, 4750 Rue Henri Julien, Montreal, PQ H2T 3E5, Canada.
EM marie-christine.therrien@enap.ca; julie-maude.normandin@enap.ca;
   shonakoren.paterson@brunel.ac.uk; mark.pelling@kcl.ac.uk
CR Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   [Anonymous], 2010, LOND COMM RISK REG
   [Anonymous], 2015, A/CONF.224/CRP.1
   [Anonymous], 2013, RISK RESILIENCE GOOD
   [Anonymous], 2010, DESIGNING RESILIENCE
   [Anonymous], 2012, Disaster resilience: a national imperative [online], DOI DOI 10.17226/13457
   [Anonymous], 2010, NAT RISK REG CIV EM
   [Anonymous], 2010, EM RISKS CONTR FACT
   [Anonymous], 2004, 30 YEARS NATURAL DIS
   [Anonymous], 2015, National Risk Register of Civil Emergencies
   [Anonymous], 2006, GLOBAL ENVIRON CHANG, DOI [DOI 10.1016/j.gloenvcha.2005.10.004, DOI 10.1007/s11027-013-9475-x]
   [Anonymous], The making of a national risk register'
   [Anonymous], 2016, World cities report 2016-urbanization and development: emerging futures
   Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Barnett C, 2016, ENVIRON URBAN, V28, P87, DOI 10.1177/0956247815621473
   BBC, 2001, BBC 0911
   Beck U., 2008, LA SOC DU RISQUE
   Birkland T., 1998, Journal of Public Policy, V18, P53, DOI DOI 10.1017/S0143814X98000038
   Birkland ThomasA., 2009, Journal of Contingencies and Crisis Management, V17, P146, DOI DOI 10.1111/J.1468-5973.2009.00575.X
   Boin A., 2010, Designing resilience: Preparing for extreme events, P1
   Bourgon J., 2009, Public Policy and Administration, V24, P309, DOI DOI 10.1177/0952076709103813
   Cabinet Office, 2013, CIV CONT ACT 2004 SH
   Coaffee J., 2016, URBAN RESILIENCE PLA
   Coaffee J, 2013, POLITICS-OXFORD, V33, P240, DOI 10.1111/1467-9256.12011
   Coleman J.S., 1974, Power and the Structure of Society
   Commission scientifique et technique chargee d'analyser les evenements relatifs a la tempete de verglas survenue du 5 au 9 janvier 1998, RAPPORT
   Creswell J. W, 2012, QUALITATIVE INQUIRY
   Denzin NormanK., 1989, The Research Act: A Theoretical Introduction to Sociological Methods, V3rd
   Dewulf A, 2013, WIRES CLIM CHANGE, V4, P321, DOI 10.1002/wcc.227
   Duit A, 2016, PUBLIC ADMIN, V94, P364, DOI 10.1111/padm.12182
   Dye ThomasR., 2005, Understanding public policy
   Gupta J., 2007, Environmental Sciences, V4, P171
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   HOOD C, 1991, PUBLIC ADMIN, V69, P3, DOI 10.1111/j.1467-9299.1991.tb00779.x
   Howlett M, 2009, POLICY SCI, V42, P73, DOI 10.1007/s11077-009-9079-1
   KINGDON John w., 1995, Agendas, alternatives and public policies, V2nd
   Lagadec P, 2009, REV POLICY RES, V26, P473, DOI 10.1111/j.1541-1338.2009.00396.x
   London Resilience Forum, 2015, LOND COMM RISK REG
   London Resilience Forum, 2013, LOND RES PARTN STRAT
   London Resilience Partnership, 2017, OASYS PD SCREEN
   Mayor of London, 2020, LOND CIT RES STRAT 2
   McLaughlin P, 2011, ORGAN ENVIRON, V24, P269, DOI 10.1177/1086026611419862
   McNamara M, 2012, INT J PUBLIC ADMIN, V35, P389, DOI 10.1080/01900692.2012.655527
   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
   Meerow S, 2015, J IND ECOL, V19, P236, DOI 10.1111/jiec.12252
   Metz B, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, pVII
   Normandin JM, 2019, RESILIENT CIT, P9, DOI 10.1007/978-3-319-76944-8_2
   Parsons W, 2004, AUST J PUBL ADMIN, V63, P43, DOI 10.1111/j.1467-8500.2004.00358.x
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2011, ECOL SOC, V16
   Quarantelli EL., 2007, Handbook of Disaster Research, P16
   Roberts E, 2015, NAT CLIM CHANGE, V5, P1024, DOI 10.1038/nclimate2776
   Rodima-Taylor D, 2012, APPL GEOGR, V33, P107, DOI 10.1016/j.apgeog.2011.10.011
   Ross AD, 2016, RISK HAZARDS CRISIS, V7, P4, DOI 10.1002/rhc3.12092
   Rothstein H, 2013, REGUL GOV, V7, P215, DOI 10.1111/j.1748-5991.2012.01153.x
   Schwab Klaus, 2019, The Global Competitiveness Report
   Shaw K., 2013, PUBLIC POLICY ADMIN, V28, P43, DOI [DOI 10.1177/0952076711432578, 10.1177/0952076711432578]
   Stark A, 2014, PUBLIC ADMIN, V92, P692, DOI 10.1111/padm.12085
   Stone D., 1997, POLICY PARADOX ART P
   Taylor-Gooby P., 2006, RISK SOCIAL SCI
   Therrien M.-C., 2010, Telescope, V16, P154
   Therrien MC, 2015, INT J DISAST RISK SC, V6, P75, DOI 10.1007/s13753-015-0044-7
   Wagenaar H., 2013, URBAN STUD, V30
   Wildavsky A., 1988, Searching for safety
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
NR 67
TC 17
Z9 18
U1 7
U2 38
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 2021
VL 108
AR 102931
DI 10.1016/j.cities.2020.102931
PG 9
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA PD0TE
UT WOS:000597406700023
DA 2025-04-22
ER

PT J
AU Tayyab, M
   Zhang, JQ
   Hussain, M
   Ullah, S
   Liu, XP
   Khan, SN
   Baig, MA
   Hassan, W
   Al-Shaibah, B
AF Tayyab, Muhammad
   Zhang, Jiquan
   Hussain, Muhammad
   Ullah, Safi
   Liu, Xingpeng
   Khan, Shah Nawaz
   Baig, Muhammad Aslam
   Hassan, Waqas
   Al-Shaibah, Bazel
TI GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience
   Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan
SO REMOTE SENSING
LA English
DT Article
DE UFResi-M; geographical information system; urban flood resilience;
   analytical hierarchy process (AHP); Pakistan
ID PRECIPITATION PRODUCTS; RISK; ATHENS; SCALE; INDEX; FRAMEWORK; PART
AB Urban flooding has been an alarming issue in the past around the globe, particularly in South Asia. Pakistan is no exception from this situation where urban floods with associated damages are frequently occurring phenomena. In Pakistan, rapid urbanization is the key factor for urban flooding, which is not taken into account. This study aims to identify flood sensitivity and coping capacity while assessing urban flood resilience and move a step toward the initialization of resilience, specifically for Peshawar city and generally for other cities of Pakistan. To achieve this aim, an attempt has been made to propose an integrated approach named the "urban flood resilience model (UFResi-M)," which is based on geographical information system(GIS), remote sensing (RS), and the theory of analytical hierarchy process (AHP). The UFResi-M incorporates four main factors-urban flood hazard, exposure, susceptibility, and coping capacity into two parts, i.e., sensitivity and coping capacity. The first part consists of three factors-I-H, I-E, and I-S-that represent sensitivity, while the second part represents coping capacity (I-Cc). All four indicators were weighted through AHP to obtain product value for each indicator. The result showed that in the Westzone of the study area, the northwestern and central parts have very high resilience, whereas the southern and southwestern parts have very low resilience. Similarly, in the East zone of the study area, the northwest and southwest parts have very high resilience, while the northern and western parts have very low resilience. The likelihood of the proposed model was also determined using the receiver operating characteristic (ROC) curve method; the area under the curve acquired for the model was 0.904. The outcomes of these integrated assessments can help in tracking community performance and can provide a tool to decision makers to integrate the resilience aspect into urban flood management, urban development, and urban planning.
C1 [Tayyab, Muhammad; Zhang, Jiquan; Hussain, Muhammad; Liu, Xingpeng; Al-Shaibah, Bazel] Northeast Normal Univ, Sch Environm, Inst Nat Disaster Res, Changchun 130024, 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 & Veg, Changchun 130024, Peoples R China.
   [Ullah, Safi] Fudan Univ, Inst Atmospher Sci, Dept Atmospher & Ocean Sci, Shanghai 200438, Peoples R China.
   [Khan, Shah Nawaz] Univ Peshawar, Ctr Disaster Preparedness & Management, Peshawar 25120, Pakistan.
   [Baig, Muhammad Aslam] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazard & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Hassan, Waqas] China Univ Geosci, Natl Engn Res Ctr Geog Informat Syst, Sch Geog, Wuhan 430074, Peoples R China.
C3 Northeast Normal University - China; Northeast Normal University -
   China; Fudan University; University of Peshawar; Chinese Academy of
   Sciences; Institute of Mountain Hazards & Environment, CAS; China
   University of Geosciences
RP Zhang, JQ (corresponding author), Northeast Normal Univ, Sch Environm, Inst Nat Disaster Res, Changchun 130024, Peoples R China.; Zhang, JQ (corresponding author), Minist Educ, Key Lab Vegetat Ecol, Changchun 130024, Peoples R China.; Zhang, JQ (corresponding author), Northeast Normal Univ, State Environm Protect Key Lab Wetland Ecol & Veg, Changchun 130024, Peoples R China.
EM tany565@nenu.edu.cn; zhangjq022@nenu.edu.cn; huse149@nenu.edu.cn;
   safi_ullah@fudan.edu.cn; liuxp912@nenu.edu.cn; nawazkhan@uop.edu.pk;
   aslam_baig@imde.ac.cn; waqashassan@cug.edu.cn; zee298@nenu.edu.cn
RI Waqas, Hassan/AAF-6879-2019; Liu, Xingpeng/LPP-3936-2024; Ullah,
   Safi/X-6228-2019
OI Ullah, Safi/0000-0002-2328-8321; Wang, Yongfang/0000-0001-6077-8429;
   Tayyab, Muhammad/0000-0002-5132-0798; Hussain,
   Muhammad/0000-0003-1160-7994; Hassan, Waqas/0000-0002-1837-9341
FU national key research and development program of China [2018YFC1508804];
   Key Scientific and Technology Research and Development Program of Jilin
   Province [20180201033SF]; Key Research and Development Projects of
   Science and Technology Department of Jilin Province, Development of
   dynamic risk early warning technology and refined information sharing
   platform for urban rainstorm and water logging disaster [20200403074sf]
FX This research is supported by the national key research and development
   program of China(2018YFC1508804); the Key Scientific and Technology
   Research and Development Program of Jilin Province (20180201033SF), and
   the Key Research and Development Projects of Science and Technology
   Department of Jilin Province, Development of dynamic risk early warning
   technology and refined information sharing platform for urban rainstorm
   and water logging disaster (20200403074sf).
CR Ahmed A.K., 2006, CONCEPTS PRACTICES R, DOI [10.13140/RG.2.1.2477.9927, DOI 10.13140/RG.2.1.2477.9927]
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Ali A., INDUS BASIN FLOODS M
   Andoh RobertY.G., 2002, Global Solutions for Urban Drainage, P1, DOI [DOI 10.1061/40644(2002)19, 10.1061/40644]
   [Anonymous], 2007, HALF ADULTS ANXIETY, P1
   Arshad M, 2021, ATMOS RES, V249, DOI 10.1016/j.atmosres.2020.105341
   Balica S, 2010, ENVIRON HAZARDS-UK, V9, P321, DOI 10.3763/ehaz.2010.0043
   Bathrellos GD, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-5157-1
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bhatti AS, 2020, WATER-SUI, V12, DOI 10.3390/w12030797
   Birkland TA., 2009, Resilience engineering perspectives volume 2: preparation and restoration, V2, P15
   Birkmann J., 2016, J EXTREME EVENTS, V3, P1650017, DOI DOI 10.1142/S2345737616500172
   Bosher L, 2009, DISASTER PREV MANAG, V18, P9, DOI 10.1108/09653560910938501
   Brand FS, 2007, ECOL SOC, V12
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   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
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Diakakis M, 2017, URBAN WATER J, V14, P1065, DOI 10.1080/1573062X.2017.1363247
   Diakakis M, 2014, ISPRS INT GEO-INF, V3, P96, DOI 10.3390/ijgi3010096
   Faccini F, 2018, APPL GEOGR, V98, P224, DOI 10.1016/j.apgeog.2018.07.022
   Fekete A, 2009, NAT HAZARD EARTH SYS, V9, P393, DOI 10.5194/nhess-9-393-2009
   Folke C, 2011, AMBIO, V40, P719, DOI 10.1007/s13280-011-0184-y
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   GOP. Government of Khyber Pakhtunkhwa, 2020, Peshawar District Demographics
   Hadipour V, 2020, WATER-SUI, V12, DOI 10.3390/w12092379
   Hamidi AR, 2020, NAT HAZARDS, V101, P385, DOI 10.1007/s11069-020-03878-0
   Hoque MA, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19061302
   Hussain M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063126
   Jha Abhas Kand Miner Todd W., 2013, BUILDING URBAN RESIL
   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
   Johannessen Å, 2017, ECOL SOC, V22, DOI 10.5751/ES-08870-220101
   Kastridis A, 2020, HYDROL PROCESS, V34, P4920, DOI 10.1002/hyp.13913
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Kienberger D.S., REGIONS VULNERABILIT
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kreft S., 2020, GLOBAL CLIMATE RISK
   Lemke P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P337
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   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
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Mobini S, 2020, WATER-SUI, V12, DOI 10.3390/w12113152
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Murayama Y., 2012, ANAL HIERARCHY PROCE
   Mynett AE, 2009, J HYDROINFORM, V11, P166, DOI 10.2166/hydro.2009.027
   Nazeer M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236695
   Pourghasemi HR, 2020, J HYDROL, V582, DOI 10.1016/j.jhydrol.2019.124536
   Public Health and Engineering Department, 2012, URB ENV PROBL PAK CA
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Rahman M., 2021, GEOSCI FRONT, DOI [10.1016/j.gsf.2021.101224, DOI 10.1016/J.GSF.2021.101224]
   Rahman M, 2021, GEOSCI FRONT, V12, DOI 10.1016/j.gsf.2020.09.022
   Rana IA, 2016, INT J DISAST RISK RE, V19, P366, DOI 10.1016/j.ijdrr.2016.08.028
   Raziq A., 2016, J REMOTE SENSING GIS, V5, P174, DOI [10.4172/2469-4134.1000174, DOI 10.4172/2469-4134.1000174]
   Rey W, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8020137
   Rezende OM, 2019, WATER-SUI, V11, DOI 10.3390/w11071485
   Ritchie H., 2018, NATURAL DISASTERS EM
   Saaty T., 1989, GROUP DECISION MAKIN, DOI DOI 10.1007/978-3-642-50244-64
   Saaty Thomas L., 2008, International Journal of Services Science, V1, P83, DOI 10.1504/IJSSCI.2008.017590
   Saaty TL., 1980, Agricultural Economics Review, V70, P10
   Samanta S, 2016, HYDROLOGY-BASEL, V3, DOI 10.3390/hydrology3030029
   Saqib SE, 2016, INT J DISAST RISK RE, V18, P107, DOI 10.1016/j.ijdrr.2016.06.007
   Scheuer S, 2011, NAT HAZARDS, V58, P731, DOI 10.1007/s11069-010-9666-7
   Shah AA, 2018, NAT HAZARDS, V93, P147, DOI 10.1007/s11069-018-3293-0
   Shao ZF, 2020, WATER-SUI, V12, DOI 10.3390/w12113249
   Silva D., 2014, ARUP, V13, P157
   Ullah F, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101967
   Ullah K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229153
   Ullah S, 2018, ATMOS RES, V210, P1, DOI 10.1016/j.atmosres.2018.04.007
   Ullah W, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11060628
   Verol A.P., 2020, REV NAC GERENC CID, V8, P17, DOI [10.17271/2318847285920202379, DOI 10.17271/2318847285920202379]
   Vojtek M, 2019, WATER-SUI, V11, DOI 10.3390/w11020364
   Wannous C, 2017, ADVANCING CULTURE OF LIVING WITH LANDSLIDES, VOL 1: ISDR-ICL SENDAI PARTNERSHIPS 2015-2025, P109, DOI 10.1007/978-3-319-59469-9_6
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Yesilnacar E, 2005, ENG GEOL, V79, P251, DOI 10.1016/j.enggeo.2005.02.002
   Zhao L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124979
NR 78
TC 66
Z9 68
U1 33
U2 206
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD MAY
PY 2021
VL 13
IS 10
AR 1864
DI 10.3390/rs13101864
PG 32
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 ST6BD
UT WOS:000662525400001
OA gold
DA 2025-04-22
ER

PT J
AU Zhang, M
   Liu, YF
   Xiao, YX
   Sun, WQ
   Zhang, C
   Wang, Y
   Bai, YQ
AF Zhang, Min
   Liu, Yufu
   Xiao, Yixiong
   Sun, Wenqi
   Zhang, Chen
   Wang, Yong
   Bai, Yuqi
TI Vulnerability and Resilience of Urban Traffic to Precipitation in China
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE Healthy Cities; urban health assessment; urban traffic; precipitation;
   traffic vulnerability; traffic resilience
ID CLIMATE-CHANGE; CONGESTION; CITIES; RAINFALL; WEATHER; IMPACT
AB The concept of Healthy Cities, introduced by the World Health Organization, demonstrates the value of health for the whole urban system. As one of the most important components of urban systems, transportation plays an important role in Healthy Cities. Many transportation evaluation systems focus on factors such as road networks, parking spaces, transportation speed, accessibility, convenience, and commuting time, while the vulnerability and resilience of urban transportation are rarely evaluated. This study presents the preliminary progress in the evaluation of traffic vulnerability and resilience during precipitation events in 39 Chinese cities. Traffic congestion index data, derived from the Baidu Map Smart Transportation Platform, and rainfall data, derived from NASA's global precipitation measurement, are utilized. Traffic vulnerability index, traffic resilience index, and the corresponding quantitative methods are proposed, and the analysis results are presented. This study is of value in improving the understanding of urban traffic vulnerability and resilience, and in enabling the quantitative evaluation of them in urban health assessment and the Healthy Cities program.
C1 [Zhang, Min; Liu, Yufu; Xiao, Yixiong; Sun, Wenqi; Wang, Yong; Bai, Yuqi] Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China.
   [Zhang, Chen] Beijing Baidu Netcom Sci Technol Co Ltd, Beijing 100085, Peoples R China.
C3 Tsinghua University; Baidu
RP Wang, Y; Bai, YQ (corresponding author), Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China.
EM zhangmin15@mails.tsinghua.edu.cn; liuyufu18@mails.tsinghua.edu.cn;
   xiaoyixiong@mail.tsinghua.edu.cn; sunwq06@163.com;
   zhangchen_bjtu@163.com; yongw@mail.tsinghua.edu.cn;
   yuqibai@tsinghua.edu.cn
OI Bai, Yuqi/0000-0002-4630-5147
CR Fernández RA, 2019, J CLEAN PROD, V236, DOI 10.1016/j.jclepro.2019.117604
   [Anonymous], 2019, BAIDU MAP REPORT URB
   Baidu Public Policy Research Institute, 2020, China urban transportation report in 2020
   Chang YS, 2017, TRANSPORT POLICY, V59, P54, DOI 10.1016/j.tranpol.2017.07.002
   Chung Y, 2012, TRANSPORT POLICY, V19, P167, DOI 10.1016/j.tranpol.2011.10.001
   Coconea L, 2019, TRANSP RES PROC, V41, P556, DOI 10.1016/j.trpro.2019.09.099
   Dulal HB, 2017, LOCAL ENVIRON, V22, P106, DOI 10.1080/13549839.2016.1168790
   Evans B, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062330
   Havko J, 2017, PROCEDIA ENGINEER, V192, P307, DOI 10.1016/j.proeng.2017.06.053
   Hou B, 2019, INT J EPIDEMIOL, V48, P1083, DOI 10.1093/ije/dyz031
   Huffman G.J., 2019, INTEGRATED MULTISATE
   Hussain E, 2018, J MOD TRANSP, V26, P133, DOI 10.1007/s40534-018-0155-0
   Kasmalkar IG, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba2423
   Markolf SA, 2019, TRANSPORT POLICY, V74, P174, DOI 10.1016/j.tranpol.2018.11.003
   Ministry of Housing and Urban-Rural Development of China, LETT MIN HOUS URB RU
   Ministry of Housing and Urban-Rural Development of China, CHIN MAIN CIT ROAD N
   Moroke T, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101433
   Nosratabadi S, 2020, LECT NOTE NETW SYST, V101, P228, DOI 10.1007/978-3-030-36841-8_22
   Rahman MM, 2022, INT J SUSTAIN TRANSP, V16, P405, DOI 10.1080/15568318.2021.1885085
   Rossi IA, 2020, ENVIRON INT, V145, DOI 10.1016/j.envint.2020.106126
   Shen LY, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030844
   Wang HD, 2016, LANCET, V388, P1459, DOI 10.1016/S0140-6736(16)31012-1
   Wang HL, 2016, J ECON INEQUAL, V14, P41, DOI 10.1007/s10888-015-9315-1
   WHO, 1988, PROM HLTH URB CONT
   Wu T, 2017, AMBIO, V46, P18, DOI 10.1007/s13280-016-0809-2
   Yang J, 2018, LANCET, V391, P2140, DOI 10.1016/S0140-6736(18)30486-0
   Yang M, 2018, ENERG POLICY, V113, P20, DOI 10.1016/j.enpol.2017.10.039
   Zhang JB, 2018, IET INTELL TRANSP SY, V12, P93, DOI 10.1049/iet-its.2017.0039
   Zhang WW, 2019, INT J INTELL TRANSP, V17, P150, DOI 10.1007/s13177-018-0162-x
   Zhu JX, 2018, WATER-SUI, V10, DOI 10.3390/w10050622
   Zhu L, 2019, INT J PROD RES, V57, P6115, DOI 10.1080/00207543.2018.1533260
   Zhu SY, 2020, WIRES DATA MIN KNOWL, V10, DOI 10.1002/widm.1388
   Zijlema WL, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143910
NR 33
TC 6
Z9 8
U1 13
U2 141
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 DEC
PY 2021
VL 18
IS 23
AR 12342
DI 10.3390/ijerph182312342
PG 13
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 XV6EF
UT WOS:000735032400001
PM 34886066
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Liang, W
   Wang, DQ
   Gao, LQ
   Li, CY
AF Liang, Wei
   Wang, Deqi
   Gao, Luqin
   Li, Chunyan
TI Study on the impact of China's urban agglomerations' tiered spatial
   structure on regional economic resilience
SO PLOS ONE
LA English
DT Article
ID YANGTZE-RIVER DELTA; POLYCENTRICITY
AB Urban agglomerations serve as crucial spatial carriers of economic development, and their spatial structure profoundly influences regional economic resilience. This study draws on Martin's conceptualization of economic resilience and, considering the administrative hierarchy and development stage of China's urban system, examines the impact of the layered spatial structure of urban agglomerations on regional economic resilience. Based on data from 17 Chinese urban agglomerations from 2005 to 2019, this research employs a one-step system Generalized Method of Moments (GMM) model to empirically analyze the effects of three mechanisms - polycentricity within urban agglomerations, inter-city development disparities, and inter-city industrial gradients - on regional economic resilience. The findings reveal that both the polycentric distribution of population and economy and the coupling of dual centers significantly positively affect the economic resilience of urban agglomerations. The potential development energy difference between core and peripheral cities can be transformed into developmental momentum for peripheral cities, thereby generating positive spatial externalities that play a significant and positive role in enhancing economic resilience. As the ratio of secondary to tertiary industry employees in peripheral and core cities nears 1, urban agglomerations' economic resilience strengthens, underscoring the importance of a balanced industrial gradient and regional collaboration in mitigating economic shocks. This study also considers the heterogeneity of whether the urban agglomerations are coastal and whether they contain a national-level central city. The research finds that for inland urban agglomerations and those with existing national-level central cities, developing a polycentric spatial structure can effectively enhance the region's economic resilience in responding to various shocks. Furthermore, aside from a few more developed coastal urban agglomerations, other inland urban agglomerations should continue to focus on spatial agglomeration, fostering core cities to strengthen economic competitiveness. Finally, given the varying industrialization stages and structures within urban agglomerations, appropriately adjusting the industrial gradient is essential.
C1 [Liang, Wei; Wang, Deqi; Li, Chunyan] Capital Univ Econ & Business, Sch Urban Econ & Publ Adm, Beijing, Peoples R China.
   [Gao, Luqin] Wenzhou Business Coll, Sch Management, Wenzhou, Peoples R China.
C3 Capital University of Economics & Business
RP Liang, W (corresponding author), Capital Univ Econ & Business, Sch Urban Econ & Publ Adm, Beijing, Peoples R China.
EM peoplelw@163.com
OI Li, Chunyan/0009-0002-3308-2690
FU Beijing Municipal Social Science Foundation, China [20GLA005]
FX This research was funded by Beijing Municipal Social Science Foundation,
   China(20GLA005). The funders took on the roles of Project
   Administration, Resources, Supervision, and Validation in this paper.
CR Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Brülhart M, 2009, J URBAN ECON, V65, P48, DOI 10.1016/j.jue.2008.08.003
   Chen J, 2024, ANN REGIONAL SCI, V72, P1015, DOI 10.1007/s00168-023-01233-2
   Davies S, 2011, CAMB J REG ECON SOC, V4, P369, DOI 10.1093/cjres/rsr019
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Giannakis E, 2017, EUR PLAN STUD, V25, P1394, DOI 10.1080/09654313.2017.1319464
   Glaeser EL, 2018, NBER working paper
   Green N, 2007, URBAN STUD, V44, P2077, DOI 10.1080/00420980701518941
   Hall P, 2009, REG STUD, V43, P803, DOI 10.1080/00343400903039673
   Huang J., 2022, Statistics Decision, V38, P91, DOI [10.13546/j.cnki.tjyjc.2022.17.018, DOI 10.13546/J.CNKI.TJYJC.2022.17.018]
   Huang Y, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102882
   [李顺成 Li Shuncheng], 2021, [中国人口·资源与环境, China Population Resources and Environment], V31, P123
   Li YC, 2017, REG STUD, V51, P1035, DOI 10.1080/00343404.2016.1240868
   [刘凯 Liu Kai], 2020, [中国人口·资源与环境, China Population Resources and Environment], V30, P28
   Lu H, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103167
   Lu M., 2019, Journal of Management World, V35, P11, DOI [10.19744/j.cnki.111235/f.2019.0128, DOI 10.19744/J.CNKI.111235/F.2019.0128, 10.19744/j.cnki.11-1235/f.2019.0128, DOI 10.19744/J.CNKI.11-1235/F.2019.0128]
   Mai X, 2021, HABITAT INT, V109, DOI 10.1016/j.habitatint.2021.102326
   Mao J., 2011, Economic Research Journal, V46, P75
   Martin R, 2019, PAP REG SCI, V98, P1801, DOI 10.1111/pirs.12430
   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
   Meijers E, 2018, TIJDSCHR ECON SOC GE, V109, P1, DOI 10.1111/tesg.12292
   Meijers EJ, 2016, PAP REG SCI, V95, P181, DOI 10.1111/pirs.12181
   Meijers EJ, 2010, ENVIRON PLANN A, V42, P1383, DOI 10.1068/a42151
   Parr JB, 2004, REG STUD, V38, P231, DOI 10.1080/003434042000211114
   Partridge MD, 2009, PAP REG SCI, V88, P445, DOI 10.1111/j.1435-5957.2008.00211.x
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Peng D, 2023, FINANC RES LETT, V55, DOI 10.1016/j.frl.2023.103932
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Teng X., 2022, Journal of Technology Economics, V41, P121
   Wang HP, 2023, HUM SOC SCI COMMUN, V10, DOI 10.1057/s41599-023-01783-y
   Wang Z., 2018, Nanjing Journal of Social Sciences, V03, P60
   Wei L., 2022, Reform of Economic System, V6, P5
   WILLIAMSON JG, 1965, ECON DEV CULT CHANGE, V13, P1, DOI 10.1086/450136
   Wu JH, 2022, OCEAN COAST MANAGE, V217, DOI 10.1016/j.ocecoaman.2021.106016
   Xiong X., 2023, Journal of Hunan University (Social Sciences), V37, P59
   Xu X., 2021, Chinas Industrial Economics, P5, DOI [10.3969/j.issn.1006-480X.2021.02.001, DOI 10.3969/J.ISSN.1006-480X.2021.02.001]
   Zhang D., 2023, China Economic Review, V80, P1
   Zhang DY, 2023, CHINA ECON REV, V80, DOI 10.1016/j.chieco.2023.101999
   [张可云 Zhang Keyun], 2022, [中国人口·资源与环境, China Population Resources and Environment], V32, P107
   Zhang M., 2021, Journal of Zhengzhou University (Philosophy and Social Sciences Edition), V54, P51
   Zhang YZ, 2021, IEEE ACCESS, V9, P5531, DOI 10.1109/ACCESS.2020.3048948
   Zhang Z., 2021, East China Economic Management, V35, P59, DOI [10.19629/j.cnki.341014/f.210307001, DOI 10.19629/J.CNKI.341014/F.210307001]
   Zhang Z., 2019, Reform of Economic System, V4, P42
NR 46
TC 0
Z9 0
U1 9
U2 9
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 MAR 13
PY 2025
VL 20
IS 3
AR e0314538
DI 10.1371/journal.pone.0314538
PG 28
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 0EZ0R
UT WOS:001445778800041
PM 40080498
OA gold
DA 2025-04-22
ER

PT J
AU Barker, V
   Jordan, J
AF Barker, Victoria
   Jordan, Jennie
TI Finding the sweet spot: critiquing a cultural ecosystems approach to
   civic cultural strategy making
SO JOURNAL OF CULTURAL ECONOMY
LA English
DT Article
DE Festivals; cultural policy; cities; cultural ecosystem; resilience
ID REGENERATION; RESILIENCE
AB This paper contributes to debates about how cities create resilient systems for making, re-making and maintaining representations of culture. Our case traces how collaborative festival production implicitly created an infrastructure founded on shared values. This was formalised into city cultural policy using an ecosystem framework, which institutionalised these values, and meant that the ecosystem became partial, excluding creative commercial and community organisations, city residents from diverse backgrounds, and influential non-city bodies. Using the same model to analyse the strategy making process, we argue that this framework can only develop resilience where there is explicit inclusion of the diversity of the city's cultural interests. This diversity is central to resilient ecosystems, and whilst this framework may offer more inclusive strategy approaches, it also decentralises ownership and leadership. We ask - is there a 'sweet spot' for resilient and inclusive cultural policy between centralised strategy and a laissez-faire approach?
C1 [Barker, Victoria] Univ Manchester, Sch Arts Languages & Cultures, Oxford Rd, Manchester M13 9PL, Lancs, England.
   [Jordan, Jennie] De Montfort Univ, Ctr Urban Res Auster CURA, Leicester, Leics, England.
C3 University of Manchester; De Montfort University
RP Barker, V (corresponding author), Univ Manchester, Sch Arts Languages & Cultures, Oxford Rd, Manchester M13 9PL, Lancs, England.
EM victoria.barker@manchester.ac.uk
OI Jordan, Jennie/0000-0002-3955-1913; Barker, Victoria/0000-0001-7202-7331
CR Andersson DE, 2011, HANDBOOK OF CREATIVE CITIES, P1
   [Anonymous], 2015, ENRICHING BRITAIN CU
   [Anonymous], 2011, BBC News
   Banks M, 2018, CULT TRENDS, V27, P367, DOI 10.1080/09548963.2018.1534720
   Barker V., 2019, The Journal of Law, Social Justice Global Development, V24, P86, DOI [https://doi.org/10.31273/lgd.2019.2405, DOI 10.31273/LGD.2019.2405]
   BBC Derby, 2007, BBC DERBY
   Belfiore E, 2019, NEW DIRECT CULT POL, P1, DOI 10.1057/978-1-137-55027-9_1
   Belfiore E, 2020, INT J CULT POLICY, V26, P383, DOI 10.1080/10286632.2018.1495713
   Belfiore E, 2012, CULT TRENDS, V21, P103, DOI 10.1080/09548963.2012.674750
   Bell DanielKate Oakley., 2015, CULTURAL POLICY
   Benczur P., 2020, HDB REGIONAL EC RESI, P143
   BIERNACKI P, 1981, SOCIOL METHOD RES, V10, P141, DOI 10.1177/004912418101000205
   Bloomfield Jude., 2006, Urban Mindscapes of Europe, European Studies, An Interdisciplinary Series in European Culture, History and Politics, P43
   Bristow G, 2014, REG STUD, V48, P923, DOI 10.1080/00343404.2013.854879
   Brook O, 2021, EUR J CULT STUD, V24, P498, DOI 10.1177/1367549419886020
   Bryman A, 2015, SOCIAL RES METHODS, V5th
   Cerreta M, 2018, URBANI IZZIV, V29, P9, DOI 10.5379/urbani-izziv-en-2018-29-supplement-001
   de Bernard M, 2022, CULT TRENDS, V31, P332, DOI 10.1080/09548963.2021.2004073
   Department of Culture Media and Sport, 2016, CREAT IND EC EST
   Derby City Council, 2020, DERB CIT COUNC CENS
   Derby City Council 2020b, CULT STRAT FRAM 2020
   Derby Fest, 2019, DERB FEST GEN MOR 80
   Dovey J, 2016, CULT TRENDS, V25, P87, DOI 10.1080/09548963.2016.1170922
   Fleming T., 2011, Supporting Growth in the Arts Economy
   Gauntlett D., 2011, MAKING IS CONNECTING
   Gertler MS, 2010, REG STUD, V44, P1, DOI 10.1080/00343400903389979
   Giorgi L, 2011, ROUTL ADV SOCIOL, P1
   Golant Media Ventures and Audience Agency, 2018, WHAT IS RES AN REV
   Gray C., 2004, PUBLIC POLICY ADMIN, V19, P38, DOI [10.1177/095207670401900206, DOI 10.1177/095207670401900206]
   Grodach C, 2017, CITIES, V68, P82, DOI 10.1016/j.cities.2017.05.015
   Gross J, 2020, INT J CULT POLICY, V26, P328, DOI 10.1080/10286632.2018.1538363
   Holden J., 2015, The Ecology of Culture
   Isenberg D. J., 2011, Institute of International and European Affairs, V1, P1, DOI [DOI 10.1093/RFS/HHR098, 10.1093/rfs/hhr098]
   Jancovich L, 2017, INT J CULT POLICY, V23, P107, DOI 10.1080/10286632.2015.1027698
   Jordan J, 2023, ANN LEIS RES, V26, P207, DOI 10.1080/11745398.2021.1927768
   Lowndes V., 2005, POLICY STUD-UK, V26, P291, DOI [DOI 10.1080/01442870500198361, 10.1080/01442870500198361]
   Pratt A.C, 2003, MEDIA INT AUSTR INCO, V112, P50
   Pratt AC, 2017, EUR PLAN STUD, V25, P127, DOI 10.1080/09654313.2016.1272549
   Pratt AC, 2009, ROUTL STUD GLOB COMP, V46, P3
   Pratt AC, 2009, URBAN STUD, V46, P1041, DOI 10.1177/0042098009103854
   Richards G., 2015, Event Management, V19, P553, DOI 10.3727/152599515X14465748512849
   Rifkin J., 2000, AGE ACCESS NEW CULTU
   Smith A., 2012, EVENTS URBAN REGENER
   Sturgess P., 2016, WHAT IS RES EV DEM
   Thorpe A., 2018, CONTESTING BRIT CHIN, P195
   Vickery J., 2012, After the Creative City?
   Waterman S, 1998, PROG HUM GEOG, V22, P54, DOI 10.1191/030913298672233886
   Yin R. K., 2014, CASE STUDY RES DESIG
NR 48
TC 4
Z9 4
U1 4
U2 14
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1753-0350
EI 1753-0369
J9 J CULT ECON-UK
JI J. Cult. Econ.
PD MAY 4
PY 2022
VL 15
IS 3
BP 277
EP 292
DI 10.1080/17530350.2022.2041464
PG 16
WC Cultural Studies; Economics; Sociology
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Cultural Studies; Business & Economics; Sociology
GA 0X9MW
UT WOS:000790024800001
DA 2025-04-22
ER

PT J
AU Mu, DX
   Zuo, ZY
   Mao, CX
   Yang, GC
AF Mu, Dexin
   Zuo, Zhongyi
   Mao, Chunxing
   Yang, Guangchuan
TI Assessment of Urban Rail Transit System Resilience Based on a Cloud
   Matter-Element Model
SO JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
LA English
DT Article
DE Urban rail transit; System resilience; Order relation analysis-criteria
   important through intercriteria correlation (G1-CRITIC) method; Cloud
   matter-element model
ID NETWORK RESILIENCE
AB To ensure the operational reliability and service quality of urban rail transit systems, it is crucial to assess the resilience of urban rail transit reasonably when subjected to disruptions. This paper divides the resilience of an urban rail transit system into absorption, buffering, and recovery phases according to the characteristics of resilience changes, based on which a resilience evaluation index was developed. Then the order relation analysis-criteria important through intercriteria correlation (G1-CRITIC) method was employed for subjective-objective combination weighting to determine the comprehensive weights of the evaluation indexes. After that, a cloud model was combined with a matter-element theory to construct a cloud matter-element assessment model, which aimed at addressing the fuzziness and randomness that may occur during the assessment process. The proposed model was applied to the Dalian, China, urban rail transit system as a case study. The resilience assessment was conducted based on four quantitative indicators acquired from field surveys and scores of 16 qualitative indicators obtained through expert interviews. Results showed that the maximum comprehensive membership degree of resilience for Dalian urban rail transit system is 0.3074, which was rated as having moderate resilience. Among the secondary indicators in the absorption phase, transit line substitutability fell under the extremely weak resilience grade, with a substitutability rate accounting for 26.9% of the total operational length of transit lines. The research findings have the potential to provide urban rail transit operators and planners with a clearer view of the vulnerable routes or stations, facilitating the adoption of proactive measures to enhance the system's ability to withstand disruptions. Moreover, the case study demonstrated that the cloud matter-element combination model is highly applicable for assessing the resilience of urban rail transit systems.
C1 [Mu, Dexin; Zuo, Zhongyi; Mao, Chunxing] Dalian Jiaotong Univ, Sch Transportat Engn, Dalian 116028, Peoples R China.
   [Yang, Guangchuan] North Carolina State Univ, Inst Transportat Res & Educ, Centennial Campus Box 8601, Raleigh, NC 27695 USA.
C3 Dalian Jiaotong University; North Carolina State University
RP Zuo, ZY (corresponding author), Dalian Jiaotong Univ, Sch Transportat Engn, Dalian 116028, Peoples R China.
EM dexinmu@djtu.edu.cn; zuozy@djtu.edu.cn; chunxing0922@163.com;
   gyang24@ncsu.edu
OI Yang, Guangchuan/0000-0001-8150-489X
FU Basic Research Projects of Liaoning Provincial Department of Education
   [JYTMS20230007]; Key Projects of Dalian Federation of Social Sciences
   [2023DLSKZD126]
FX This research was sponsored by the Basic Research Projects of Liaoning
   Provincial Department of Education, Grant No. JYTMS20230007, and the Key
   Projects of Dalian Federation of Social Sciences, Grant No.
   2023DLSKZD126.
CR Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   Becker C, 2011, TOURISM GEOGR, V13, P381, DOI 10.1080/14616688.2011.570779
   Besinovic N, 2022, RELIAB ENG SYST SAFE, V224, DOI 10.1016/j.ress.2022.108538
   Besinovic N, 2020, TRANSPORT REV, V40, P457, DOI 10.1080/01441647.2020.1728419
   Bhattacharjee S, 2012, J TRANSP GEOGR, V22, P262, DOI 10.1016/j.jtrangeo.2012.01.008
   Chan R, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000200
   Chang T, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000464
   Chen HY, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104823
   Chen JQ, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-8017
   Chen JQ, 2022, IEEE T INTELL TRANSP, V23, P24841, DOI 10.1109/TITS.2022.3195937
   Chen JQ, 2022, TRANSPORT RES REC, V2676, P342, DOI 10.1177/03611981211037888
   Cheng H, 2016, TRANSPORT RES D-TR E, V49, P44, DOI 10.1016/j.trd.2016.08.033
   Chinese Standard, 2013, GB 50157-2013: Design specification for subway
   Chinese Standard, 2022, GB 55033-2022: Project specification for urban rail transit
   Chinese Standard, 2019, GB/T 38374-2019: Operational indicator system for urban rail transit
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   Cronbach LJ, 1951, PSYCHOMETRIKA, V16, P297
   De-Los-Santos A, 2012, TRANSPORT RES C-EMER, V20, P34, DOI 10.1016/j.trc.2010.09.002
   Deka D, 2015, TRANSPORT RES REC, P1, DOI [10.3141/2531, 10.3141/2531-01]
   Diab E, 2020, INT J SUSTAIN TRANSP, V14, P657, DOI 10.1080/15568318.2019.1600174
   DIAKOULAKI D, 1995, COMPUT OPER RES, V22, P763, DOI 10.1016/0305-0548(94)00059-H
   Hassan R, 2022, J TRANSP ENG A-SYST, V148, DOI 10.1061/JTEPBS.0000705
   He YX, 2011, INT J ELEC POWER, V33, P775, DOI 10.1016/j.ijepes.2010.12.037
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Huang H., 1996, Journal of Planning Literature, V11, P17
   Ilalokhoin O, 2023, RELIAB ENG SYST SAFE, V229, DOI 10.1016/j.ress.2022.108895
   Jenelius E, 2015, TRANSPORTMETRICA A, V11, P819, DOI 10.1080/23249935.2015.1087232
   Jiao LD, 2023, NAT HAZARDS, V116, P2311, DOI 10.1007/s11069-022-05765-2
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Ju YN, 2022, IET INTELL TRANSP SY, V16, P843, DOI 10.1049/itr2.12179
   Li DY, 2009, INT J INTELL SYST, V24, P357, DOI 10.1002/int.20340
   Li ZX, 2023, COMPUT IND ENG, V185, DOI 10.1016/j.cie.2023.109657
   Litman T, 2005, TRANSPORT RES REC, V1930, P23, DOI 10.1177/0361198105193000103
   Liu J, 2020, J TRANSP ENG A-SYST, V146, DOI 10.1061/JTEPBS.0000361
   Liu W, 2024, BUILDINGS-BASEL, V14, DOI 10.3390/buildings14030616
   Lu QC, 2018, TRANSPORT RES A-POL, V117, P227, DOI 10.1016/j.tra.2018.08.015
   Ma Z, 2024, TRANSPORT RES D-TR E, V128, DOI 10.1016/j.trd.2024.104085
   Ma Z, 2022, TRANSPORT POLICY, V129, P38, DOI 10.1016/j.tranpol.2022.10.003
   MACKAY DB, 1995, J MARKETING RES, V32, P433, DOI 10.2307/3152178
   Mo B., 2022, Ph.D. dissertation
   Müller-Hannemann M, 2022, TRANSPORT RES C-EMER, V137, DOI 10.1016/j.trc.2022.103566
   Poulin C, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.107926
   Saadat Y, 2019, ASCE-ASME J RISK U B, V5, DOI 10.1115/1.4044038
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Shahabi A, 2022, J SIMUL, V16, P526, DOI 10.1080/17477778.2021.1876535
   Sun D, 2015, SUSTAINABILITY-BASEL, V7, P6919, DOI 10.3390/su7066919
   Sun HJ, 2016, TRANSPORT RES A-POL, V94, P62, DOI 10.1016/j.tra.2016.09.006
   Sun LS, 2018, TRANSPORT RES A-POL, V108, P12, DOI 10.1016/j.tra.2017.12.008
   Twumasi-Boakye R, 2018, J TRANSP ENG A-SYST, V144, DOI 10.1061/JTEPBS.0000186
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wei Y, 2024, ENGINEERING-PRC, V41, DOI 10.1016/j.eng.2024.01.022
   Wu HW, 2020, J RAIL TRANSPORT PLA, V16, DOI 10.1016/j.jrtpm.2020.100206
   Xu PC, 2024, TRANSPORT RES A-POL, V179, DOI 10.1016/j.tra.2023.103907
   Xu ZZ, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108434
   Xue L, 2021, J TRANSP ENG A-SYST, V147, DOI 10.1061/JTEPBS.0000561
   Yao KS, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-7364
   Yin JT, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108183
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
   Zhu Y., 2017, P 7 INT C RAILW OP M
NR 60
TC 1
Z9 1
U1 27
U2 27
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 FEB 1
PY 2025
VL 151
IS 2
AR 04024110
DI 10.1061/JTEPBS.TEENG-8756
PG 17
WC Engineering, Civil; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Transportation
GA P5N9T
UT WOS:001378387300022
DA 2025-04-22
ER

PT J
AU Lu, YW
   Zhang, Y
   Zhai, W
   Zhai, GF
AF Lu, Yuwen
   Zhang, Yan
   Zhai, Wei
   Zhai, Guofang
TI Understanding electric vehicle charging network resilience: Resilience
   curves and interpretable machine learning☆
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Electric vehicles; Urban resilience; Extreme weather; XGBoost; SHAP;
   Machine learning
ID FRAMEWORK; SYSTEMS; CHOICES; HYBRID
AB Understanding and enhancing the resilience of urban infrastructure, particularly electric vehicle (EV) charging networks becomes crucial as extreme weather events intensify. While extensive research exists on EV charging infrastructure planning, the resilience of charging networks under extreme weather remains largely unexplored. This study presents a comprehensive framework combining resilience curves with interpretable machine learning to assess and explain charging network resilience during extreme weather events. Utilizing data from 18,061 public charging piles during Typhoon Chaba in Shenzhen, China, we uncover significant spatial-temporal variability in network resilience. XGBoost modeling with SHAP analysis identifies charging station count, commercial land ratio, and raining as primary determinants of resilience patterns. The integration of traditional resilience assessment with modern data-driven analysis provides new insights into charging network dynamics, offering urban planners quantitative evidence and spatially-explicit strategies for developing climate-resilient charging infrastructure tailored to different urban contexts.
C1 [Lu, Yuwen; Zhang, Yan; Zhai, Guofang] Nanjing Univ, Sch Architecture & Urban Planning, Nanjing, Peoples R China.
   [Zhai, Wei] Univ Texas San Antonio, Sch Architecture & Planning, San Antonio, TX USA.
C3 Nanjing University; University of Texas System; University of Texas at
   San Antonio (UTSA)
RP Lu, YW (corresponding author), Nanjing Univ, Sch Architecture & Urban Planning, Nanjing, Peoples R China.
EM luyw@nju.edu.com
RI Zhai, Guofang/JJD-3299-2023; 鲁, 钰雯/JDW-1571-2023
CR Adderly SA, 2018, ENERG POLICY, V112, P437, DOI 10.1016/j.enpol.2017.09.030
   Angeler DG, 2016, J APPL ECOL, V53, P617, DOI 10.1111/1365-2664.12649
   Arrieta AB, 2020, INFORM FUSION, V58, P82, DOI 10.1016/j.inffus.2019.12.012
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Batty M, 2013, NEW SCIENCE OF CITIES, P1
   Beiler MO, 2013, TRANSPORT RES REC, P153, DOI 10.3141/2397-18
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Breiman L., 2001, RANDOM FORESTS, V45, P5
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cai HM, 2023, TRANSPORT RES D-TR E, V118, DOI 10.1016/j.trd.2023.103687
   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
   Costa E, 2018, J ADV TRANSPORT, DOI 10.1155/2018/8923245
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   D'Lima M, 2015, TRANSPORT RES A-POL, V81, P35, DOI 10.1016/j.tra.2015.05.017
   Daina N, 2017, TRANSPORT RES C-EMER, V81, P36, DOI 10.1016/j.trc.2017.05.006
   Dunn S, 2016, TRANSPORT RES E-LOG, V90, P39, DOI 10.1016/j.tre.2015.09.011
   Essus Y, 2024, Arxiv, DOI [arXiv:2404.09998, 10.48550/arXiv.2404.09998, DOI 10.48550/ARXIV.2404.09998]
   Ferreira C., 2013, Reliability and Risk Evaluation of Wind Integrated Power Systems, P9
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1214/aos/1013203451
   Galton F., 1886, J ANTHR I, V15, P246, DOI DOI 10.2307/2841583
   Ge YB, 2018, TRANSPORT RES D-TR E, V64, P111, DOI 10.1016/j.trd.2017.08.021
   Graham S., 2001, SPLINTERING URBANISM, DOI [DOI 10.4324/9780203452202, 10.4324/9780203452202]
   Gu Y, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.11.003
   Guo YT, 2022, TRANSPORT RES D-TR E, V110, DOI 10.1016/j.trd.2022.103399
   Guo ZY, 2024, J MANAGE ENG, V40, DOI 10.1061/JMENEA.MEENG-5922
   Hardman S, 2018, TRANSPORT RES D-TR E, V62, P508, DOI 10.1016/j.trd.2018.04.002
   Hawkins TR, 2012, INT J LIFE CYCLE ASS, V17, P997, DOI 10.1007/s11367-012-0440-9
   Heaslip K., 2009, TRANSPORTATION RES B
   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
   Immers B., 2004, NECTAR CLUST M REL N
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Ke G., 2017, Advances in Neural Information Processing Systems, V30, P3146
   Kim H, 2019, INT CONF BIG DATA, P292, DOI [10.1109/bigcomp.2019.8679316, 10.1017/S1368980018003890, 10.1017/s1368980018003890, 10.1109/platcon.2019.8669409]
   Kim S, 2017, TRANSPORT RES C-EMER, V82, P248, DOI 10.1016/j.trc.2017.06.022
   Latinopoulos C, 2017, TRANSPORT RES C-EMER, V80, P175, DOI 10.1016/j.trc.2017.04.008
   Lei T, 2022, TRANSPORT RES C-EMER, V143, DOI 10.1016/j.trc.2022.103822
   Li ZQ, 2022, COMPUT ENVIRON URBAN, V96, DOI 10.1016/j.compenvurbsys.2022.101845
   Liao TY, 2018, NAT HAZARDS, V93, P469, DOI 10.1007/s11069-018-3310-3
   Liu XH, 2023, COMPUT-AIDED CIV INF, V38, P1424, DOI 10.1111/mice.12935
   Liu YX, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104314
   Loorbach D, 2017, ANNU REV ENV RESOUR, V42, P599, DOI 10.1146/annurev-environ-102014-021340
   Lu QC, 2018, TRANSPORT RES A-POL, V117, P227, DOI 10.1016/j.tra.2018.08.015
   Lu YW, 2021, HUM ECOL RISK ASSESS, V27, P921, DOI 10.1080/10807039.2020.1788918
   Lundberg SM, 2017, ADV NEUR IN, V30
   Lundberg SM, 2020, NAT MACH INTELL, V2, P56, DOI 10.1038/s42256-019-0138-9
   Ma J., 2023, IECON 202349TH ANN C, P1, DOI [10.1109/IECON51785.2023.10312727, DOI 10.1109/IECON51785.2023.10312727]
   [Masson-Delmotte V. IPCC IPCC], 2021, International Panel on Climate Change
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Mayfield D., 2012, Siting electric vehicle charging stations
   Molnar C., 2020, A Guide for Making Black Box Models Explainable, P2
   Moon H, 2018, TRANSPORT RES D-TR E, V62, P64, DOI 10.1016/j.trd.2018.02.009
   Morrissey P, 2016, ENERG POLICY, V89, P257, DOI 10.1016/j.enpol.2015.12.001
   Murdoch WJ, 2019, P NATL ACAD SCI USA, V116, P22071, DOI 10.1073/pnas.1900654116
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Nan C, 2017, RELIAB ENG SYST SAFE, V157, P35, DOI 10.1016/j.ress.2016.08.013
   Olk C, 2019, 2019 4TH IEEE WORKSHOP ON THE ELECTRONIC GRID (EGRID), P506, DOI 10.1109/egrid48402.2019.9092672
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Pal A, 2021, SUSTAIN ENERGY GRIDS, V25, DOI 10.1016/j.segan.2020.100422
   Pan L, 2019, TRANSPORT RES C-EMER, V102, P60, DOI 10.1016/j.trc.2019.03.007
   Panteli M, 2017, P IEEE, V105, P1202, DOI 10.1109/JPROC.2017.2691357
   Panteli M, 2015, IEEE POWER ENERGY M, V13, P58, DOI 10.1109/MPE.2015.2397334
   Parsa AB, 2020, ACCIDENT ANAL PREV, V136, DOI 10.1016/j.aap.2019.105405
   Peng YS, 2024, J TRANSP GEOGR, V120, DOI 10.1016/j.jtrangeo.2024.103971
   Qiang Y, 2020, INT J GEOGR INF SCI, V34, P2434, DOI 10.1080/13658816.2019.1694681
   Qu HH, 2024, TRANSPORT RES D-TR E, V136, DOI 10.1016/j.trd.2024.104470
   Qu HH, 2024, IEEE T INTELL TRANSP, V25, P14284, DOI 10.1109/TITS.2024.3401850
   Raman G, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30848-w
   Scheffer M, 2012, SCIENCE, V338, P344, DOI 10.1126/science.1225244
   Shapley L.S., 1953, A value for n-person games: contributions to the theory of games (am 28), V2, P303, DOI [/10.1515/9781400881970-018, DOI 10.1515/9781400881970-018]
   Shen XX, 2024, FLEX SERV MANUF J, V36, P1080, DOI 10.1007/s10696-023-09508-8
   Tang JQ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190616
   THOMSON W, 1991, ECONOMICA, V58, P123, DOI 10.2307/2554979
   Tran HT, 2017, RELIAB ENG SYST SAFE, V158, P73, DOI 10.1016/j.ress.2016.10.014
   Twumasi-Boakye R, 2018, J TRANSP ENG A-SYST, V144, DOI 10.1061/JTEPBS.0000186
   Ullah I, 2023, TRANSP LETT, V15, P889, DOI 10.1080/19427867.2022.2111902
   Ullah I, 2022, INT J ENERG RES, V46, P15211, DOI 10.1002/er.8219
   Vermont Energy Investment Corporation, 2014, Electric vehicle charging station guidebook: planning for installation and operation
   Wagner S., 2014, EUR C INF SYST
   Wang HP, 2022, COMPUT-AIDED CIV INF, V37, P300, DOI 10.1111/mice.12736
   Wang Y, 2021, J CLEAN PROD, V286, DOI 10.1016/j.jclepro.2020.124982
   Wei W, 2021, NAT ENERGY, V6, P105, DOI 10.1038/s41560-020-00752-y
   Wenhao Gao, 2022, 2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), P490, DOI 10.1109/ISGTAsia54193.2022.10003525
   Wolbertus R, 2018, ENERG POLICY, V123, P1, DOI 10.1016/j.enpol.2018.08.030
   Wolbertus R, 2018, J ADV TRANSPORT, DOI 10.1155/2018/4831951
   Yang J, 2024, IEEE INT SYMP CIRC S, DOI 10.1109/ISCAS58744.2024.10558481
   Yang LC, 2025, LANDSCAPE URBAN PLAN, V257, DOI 10.1016/j.landurbplan.2025.105313
   Yang ZY, 2019, IEEE T IND INFORM, V15, P3185, DOI 10.1109/TII.2018.2879515
   Yu HX, 2016, TRANSPORT RES REC, P56, DOI 10.3141/2572-07
   Zhang K., 2023, 2023 5 INT C SYST RE, P541, DOI [10.1109/SRSE59585.2023.10336079, DOI 10.1109/SRSE59585.2023.10336079]
   Zhang L, 2024, COMPUT-AIDED CIV INF, V39, P1218, DOI 10.1111/mice.13134
   Zhang Q, 2023, COMPUT-AIDED CIV INF, V38, P489, DOI 10.1111/mice.12853
   Zhang WL, 2016, STRUCT SAF, V62, P57, DOI 10.1016/j.strusafe.2016.06.003
   Zhang XG, 2018, RELIAB ENG SYST SAFE, V169, P364, DOI 10.1016/j.ress.2017.09.009
   Zheng HY, 2009, J SOL ENERG-T ASME, V131, DOI 10.1115/1.3142727
   Zhou GY, 2022, ENERGY, V247, DOI 10.1016/j.energy.2022.123437
   Zhou J., 2021, Urban Mass Transit, V24, P1, DOI [10.16037/j.1007-869x.2021.07.014, DOI 10.16037/J.1007-869X.2021.07.014]
NR 97
TC 0
Z9 0
U1 5
U2 5
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 MAY
PY 2025
VL 142
AR 104709
DI 10.1016/j.trd.2025.104709
PG 23
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 0PN9J
UT WOS:001452957600001
DA 2025-04-22
ER

PT J
AU Wang, YT
   Zhang, C
   Chen, AS
   Wang, GQ
   Fu, GT
AF Wang, Yuntao
   Zhang, Chi
   Chen, Albert S.
   Wang, Guoqiang
   Fu, Guangtao
TI Exploring the relationship between urban flood risk and resilience at a
   high- resolution grid cell scale
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Urban surface water flooding; System performance; Risk-resilience
   interplay; Flood hotspots
ID FRAMEWORK; SURFACE; MODEL; OPTIONS; INDEX
AB The assessment of flood risk and resilience has become increasingly important in recent years for effective urban flood management. While flood resilience and risk are two distinct concepts with unique assessment metrics, there is lack of quantitative analysis and understanding of the relationship between them. This study aims to investigate this relationship at the grid cell level in urban areas. To assess flood resilience for high-resolution grid cells, this study proposes a performance-based flood resilience metric, which is calculated using the system performance curve based on flood duration and magnitude. Flood risk is calculated as the product of maximum flood depth and probability, considering multiple storm events. The case study of Waterloo in London, UK is analyzed using a two-dimensional cellular automata-based model CADDIES, which consists of 2.7 million grid cells (5 m x 5 m). The results indicate that over 2 % of grid cells have risk values exceeding 1. Furthermore, there is a 5 % difference in resilience values below 0.8 between the 200-year and 2000-year design rainfall events, specifically 4 % for the former and 9 % for the latter. Additionally, the results reveal a complex relationship between flood risk and resilience, though decreasing flood resilience generally leads to increasing flood risk. However, this relationship varies depending on the land cover type, with building, green land, and water body cells showing higher resilience for the same level of flood risk compared to other land uses such as roads and railways. Classifying urban areas into four categories, including high risk vs. low resilience, high risk vs. high resilience, low risk vs. low resilience, and low risk vs. high resilience, is crucial in identifying flood hotspots for intervention development. In conclusion, this study provides an in-depth understanding of the relationship between risk and resilience in urban flooding, which could help improve urban flood management. The proposed performance-based flood resilience metric and the findings from the case study of Waterloo in London could be valuable for decision-makers in developing effective flood management strategies in urban areas.
C1 [Wang, Yuntao; Wang, Guoqiang] Beijing Normal Univ, Fac Geog Sci, Ctr Geodata & Anal, Beijing 100875, Peoples R China.
   [Zhang, Chi] Dalian Univ Technol, Sch Hydraul Engn, Dalian 116024, Peoples R China.
   [Chen, Albert S.; Fu, Guangtao] Univ Exeter, Fac Environm Sci & Econ, Ctr Water Syst, North Pk Rd,Harrison Bldg, Exeter EX4 4QF, England.
C3 Beijing Normal University; Dalian University of Technology; University
   of Exeter
RP Zhang, C (corresponding author), Dalian Univ Technol, Sch Hydraul Engn, Dalian 116024, Peoples R China.; Fu, GT (corresponding author), Univ Exeter, Fac Environm Sci & Econ, Ctr Water Syst, North Pk Rd,Harrison Bldg, Exeter EX4 4QF, England.
EM czhang@dlut.edu.cn; g.fu@exeter.ac.uk
RI Wang, Yuntao/ABI-6556-2022; Chen, Albert/E-2735-2010; Fu,
   Guangtao/ABE-3874-2021
OI Chen, Albert S./0000-0003-3708-3332
FU China Postdoctoral Science Foun-dation [2021M690438]; National Natural
   Science Foundation of China [52109001]; Royal Society [IF160108]; Alan
   Turing Institute under EPSRC [EP/N510129/1]; China Postdoctoral Science
   Foundation [2021M690438]; Fundamental Research Funds for the Central
   Universities [2020NTST23]; China Scholarship Council
FX This work was partially supported by National Natural Science Foundation
   of China (Grant No: 52109001) , the Royal Society under the Industry
   fellowship scheme (Ref: IF160108) and the Alan Turing Institute under
   the EPSRC grant (Ref: EP/N510129/1) , China Postdoctoral Science
   Foundation (Grant No: 2021M690438) and the Fundamental Research Funds
   for the Central Universities (Grant No: 2020NTST23) . The first author
   was funded by the China Scholarship Council.
CR [Anonymous], 2016, CREAT GREAT PLAC LIV
   Barbour EJ, 2022, NAT SUSTAIN, V5, P294, DOI 10.1038/s41893-021-00846-9
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Blackmore JM, 2008, J WATER RES PLAN MAN, V134, P224, DOI 10.1061/(ASCE)0733-9496(2008)134:3(224)
   Bradbrook K, 2006, WATER ENVIRON J, V20, P79, DOI 10.1111/j.1747-6593.2005.00011.x
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   CEH, 2015, FEH WEB SERV
   Chang TJ, 2015, J HYDROL, V524, P662, DOI 10.1016/j.jhydrol.2015.03.014
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Disse M., 2020, Water Security, V9, P54, DOI 10.1016/j.wasec.2020.100059
   Dong BL, 2022, INT J DISAST RISK RE, V80, DOI 10.1016/j.ijdrr.2022.103205
   Environment Agency, 2013, WHAT IS UPD FLOOD MA
   Environment Agency, 2011, SURF WAT MAN PLAN LO
   Environment Agency, 2013, UPD FLOOD MAP SURF W
   Fenner R, 2019, WATER-SUI, V11, DOI 10.3390/w11051082
   Fu GT, 2023, WIRES WATER, V10, DOI 10.1002/wat2.1613
   Fu GT, 2020, WATER-SUI, V12, DOI 10.3390/w12061789
   Gersonius B, 2008, ADAPTIVE AND INTEGRATED WATER MANAGEMENT: COPING WITH COMPLEXITY AND UNCERTAINTY, P263, DOI 10.1007/978-3-540-75941-6_14
   Guidolin M, 2016, ENVIRON MODELL SOFTW, V84, P378, DOI 10.1016/j.envsoft.2016.07.008
   Gupta K, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0211
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/NCLIMATE1911, 10.1038/nclimate1911]
   Jenkins K, 2017, SCI TOTAL ENVIRON, V595, P159, DOI 10.1016/j.scitotenv.2017.03.242
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   Klise K.A., 2015, Systems measures of water distribution system resilience
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Lee EH, 2017, WATER-SUI, V9, DOI 10.3390/w9060428
   Li WJ, 2016, NAT HAZARDS, V82, P193, DOI 10.1007/s11069-016-2187-2
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Liu HX, 2018, NAT HAZARDS, V94, P1, DOI 10.1007/s11069-018-3349-1
   Löwe R, 2017, J HYDROL, V550, P355, DOI 10.1016/j.jhydrol.2017.05.009
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Mochizuki J, 2018, DISASTERS, V42, P361, DOI 10.1111/disa.12239
   Morrison A, 2018, J FLOOD RISK MANAG, V11, P291, DOI 10.1111/jfr3.12315
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Ofwat, 2017, DEL WAT 2020 OUR FIN
   Olsen AS, 2015, WATER-SUI, V7, P255, DOI 10.3390/w7010255
   Ordance Survey, 2015, OS MASTERMAP TOP LAY
   Penning-Rowsell E., 2010, The Benefits of Flood and Coastal Risk Management: a Handbook of Assessment Techniques-2010 (Multicoloured Manual)
   Razafindrabe BHN, 2015, ENVIRON HAZARDS-UK, V14, P16, DOI 10.1080/17477891.2014.981497
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   Sayers P.B., 2015, CLIMATE CHANGE RISK
   Simonovic SP, 2016, WATER RESOUR RES, V52, P8630, DOI 10.1002/2016WR019551
   United Nations Office for Disaster Risk Reduction United Nations General Assembly, 2016, REP OP END INT EXP W
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Wang YT, 2018, ENVIRON MODELL SOFTW, V107, P85, DOI 10.1016/j.envsoft.2018.06.010
   Webber JL, 2018, URBAN WATER J, V15, P210, DOI 10.1080/1573062X.2018.1424212
   Xu HS, 2023, SCI TOTAL ENVIRON, V874, DOI 10.1016/j.scitotenv.2023.162399
   Yin J, 2015, STOCH ENV RES RISK A, V29, P1063, DOI 10.1007/s00477-014-0939-7
   Zhang C, 2018, SAFETY SCI, V102, P169, DOI 10.1016/j.ssci.2017.10.014
   Zhang Y, 2023, ECOL INDIC, V150, DOI 10.1016/j.ecolind.2023.110230
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
NR 54
TC 17
Z9 18
U1 40
U2 142
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 1
PY 2023
VL 893
AR 164852
DI 10.1016/j.scitotenv.2023.164852
EA JUN 2023
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA N8TD8
UT WOS:001039664200001
PM 37331395
OA hybrid
DA 2025-04-22
ER

PT J
AU Guo, XJ
   Li, JQ
   Ma, YJ
   Chen, XP
   Li, Y
AF Guo, Xiaojia
   Li, Jinqiang
   Ma, Yanjie
   Chen, Xingpeng
   Li, Ya
TI Study on the Coupling and Coordination between Urban Resilience and
   Low-Carbon Development of Central Plains Urban Agglomeration
SO SUSTAINABILITY
LA English
DT Article
DE central plains urban agglomeration; low-carbon development; urban
   resilience; coupling coordination; impact factors
ID DYNAMIC SIMULATION; CITY; EVOLUTION; MODEL
AB The synergistic improvement in urban resilience and low-carbon development level is significant for mitigating and adapting to climate change, achieving the 'dual carbon goal' and promoting sustainable urban development. By constructing a comprehensive evaluation index system of urban resilience and low-carbon development, this study quantitatively measures the level of urban resilience and low-carbon development of the Central Plains Urban Agglomeration (CPUA) from 2009 to 2021. Further, the coupling coordination degree model and geographical detector explore the spatial and temporal evolution pattern and driving factors of the coupling and coordination (CCD) of urban resilience and low-carbon development. The results show the following: (1) From 2009 to 2021, urban resilience shows a good momentum of continuous rise, and the spatial distribution pattern is 'high in the northeast and low in southwest'. Low-carbon development is characterized by the development trend of 'first decline and then rise', forming a spatial distribution pattern of 'high in the south and low in the northwest'. (2) The CCD also shows a rising development trend. The type of coupling and coordination is mainly reluctant coordination. (3) The CCD shows a significant spatial correlation, and the degree of spatial agglomeration shows a downward trend. (4) The level of economic development and the level of scientific and technological innovation are the main two driving forces for the spatial differentiation of the coordinated development of the two systems. In addition, the explanatory power of the interaction of various influencing factors was significantly enhanced. In a word, this study was helpful to clarify further the spatial interaction between urban resilience and low-carbon development and also to provide experience and reference for low-carbon resilience construction and high-quality development of other urban agglomerations in the world.
C1 [Guo, Xiaojia; Li, Jinqiang; Ma, Yanjie] Shanxi Normal Univ, Coll Geog Sci, Taiyuan 030031, Peoples R China.
   [Chen, Xingpeng; Li, Ya] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China.
C3 Shanxi Normal University; Lanzhou University
RP Chen, XP (corresponding author), Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China.
EM xiaojia.guo@foxmail.com; lijinqiang2021@163.com; sxnumyj@163.com;
   chenxp@lzu.edu.cn; liya20@lzu.edu.cn
RI Guo, Xiaojia/KVZ-2135-2024; Xue, Bing/D-1830-2009
OI Guo, Xiaojia/0000-0001-8360-3656
FU Ministry of Education Chunhui Program Collaborative Research Projec
FX No Statement Available
CR Bai S., 2015, Bull. Soil Water Conserv, V42, P308
   Cai W.B., 2022, J. Southwest Univ. (Soc. Sci. Ed.), V48, P130
   Chen DL, 2023, LAND USE POLICY, V132, DOI 10.1016/j.landusepol.2023.106770
   Chen F, 2013, HABITAT INT, V37, P33, DOI 10.1016/j.habitatint.2011.12.019
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph181910231
   [程慧 Cheng Hui], 2023, [陕西师范大学学报. 自然科学版, Journal of Shaanxi Normal University. Natural Science Edition], V51, P59
   Cheng YR, 2023, INT J DISAST RISK RE, V97, DOI 10.1016/j.ijdrr.2023.104028
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Du MZ, 2023, ENERG ECON, V124, DOI 10.1016/j.eneco.2023.106791
   [冯雨柯 Feng Yuke], 2023, [生态学报, Acta Ecologica Sinica], V43, P8292
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   He W, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1042264
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huang J.C., 2012, Geogr. Res, V2, P212
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jiang JK, 2022, SCI TOTAL ENVIRON, V850, DOI 10.1016/j.scitotenv.2022.158076
   Jiang KP, 2023, LAND-BASEL, V12, DOI 10.3390/land12050958
   Li AL, 2023, INT J ENVIRON TECHNO, V26, P382, DOI 10.1504/IJETM.2023.130802
   Li CL, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17103416
   Li GZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110667
   Li T.T., 2022, J. Lanzhou Univ. (Nat. Sci.), V58, P750
   Li YF, 2012, J ENVIRON MANAGE, V98, P127, DOI 10.1016/j.jenvman.2011.12.025
   Li ZH, 2022, J CLEAN PROD, V372, DOI 10.1016/j.jclepro.2022.133722
   Liao LP, 2023, SUSTAIN CITIES SOC, V95, DOI 10.1016/j.scs.2023.104579
   Liu LN, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134400
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Liu NA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010456
   Liu Y, 2023, MAR POLICY, V148, DOI 10.1016/j.marpol.2022.105456
   [鲁钰雯 Lu Yuwen], 2022, [科技导报, Science & Technology Review], V40, P56
   Luo W., 2022, Yellow River, V44, P8
   Luo X, 2022, WATER-SUI, V14, DOI 10.3390/w14071083
   Mamipour S, 2019, ENVIRON SCI POLLUT R, V26, P18365, DOI 10.1007/s11356-019-05192-0
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mu XF, 2022, J GEOGR SCI, V32, P1766, DOI 10.1007/s11442-022-2022-5
   Pan SP, 2023, ENVIRON SCI POLLUT R, V30, P96808, DOI 10.1007/s11356-023-29111-6
   Pan ZZ, 2023, J CLEAN PROD, V428, DOI 10.1016/j.jclepro.2023.139401
   Peng KJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032702
   Price L, 2013, HABITAT INT, V37, P4, DOI 10.1016/j.habitatint.2011.12.009
   Shan YL, 2022, SCI BULL, V67, P1910, DOI 10.1016/j.scib.2022.08.024
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Song ML, 2020, RESOUR CONSERV RECY, V157, DOI 10.1016/j.resconrec.2020.104777
   Song Q, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021538
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Tabibian M, 2016, SCI IRAN, V23, P1699, DOI 10.24200/sci.2016.2240
   [王富喜 Wang Fuxi], 2013, [地理科学, Scientia Geographica Sinica], V33, P1323
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wang KL, 2023, SOCIO-ECON PLAN SCI, V87, DOI 10.1016/j.seps.2023.101607
   Wang W.R., 2022, J. Lanzhou Univ. Nat. Sci, V57, P39
   Wang ZL, 2023, LAND-BASEL, V12, DOI 10.3390/land12040772
   Wu C.X., 2021, J. Manag. World, V37, P105, DOI [10.19744/j.cnki.11-1235/f.2021.0110, DOI 10.19744/J.CNKI.11-1235/F.2021.0110]
   Xin L, 2023, ENVIRON SCI POLLUT R, V30, P5197, DOI 10.1007/s11356-022-22539-2
   Yang Q., 2022, J. Wuhan Univ. Technol, V44, P701
   Yu SK, 2023, LAND-BASEL, V12, DOI 10.3390/land12071412
   Zhang JY, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13071695
   Zhang Y.Q., 2015, Urban Probl, V5, P17
   Zhao J.C., 2017, J. Nat. Resour, V32, P2101
   [赵瑞东 Zhao Ruidong], 2020, [地理科学进展, Progress in Geography], V39, P1717
   Zhou G.F., 2023, J. Manag, V36, P19
   Zhou KL, 2023, J ENVIRON MANAGE, V325, DOI 10.1016/j.jenvman.2022.116423
   Zong X., 2021, Ecol. Econ, V37, P80
NR 62
TC 2
Z9 2
U1 27
U2 77
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2023
VL 15
IS 24
AR 16748
DI 10.3390/su152416748
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 DG2K0
UT WOS:001130808000001
OA gold
DA 2025-04-22
ER

PT J
AU Bozza, A
   Asprone, D
   Fabbrocino, F
AF Bozza, Anna
   Asprone, Domenico
   Fabbrocino, Francesco
TI Urban Resilience: A Civil Engineering Perspective
SO SUSTAINABILITY
LA English
DT Review
DE resilience; natural disasters; networked infrastructures; civil
   engineering
ID COMMUNITY RESILIENCE; FRAMEWORK; INFRASTRUCTURE; SYSTEMS; IMPACT
AB The concept of resilience is used in multiple scientific contexts, being understood according to several different perspectives. Essentially, resilience identifies the capability to recover, absorb shocks, and restore equilibrium after a perturbation. Recently, resilience is triggering increasing interest in engineering contexts, referring to communities and urban networked systems, as the capability to recover from natural disasters. The approach to the engineering resilience dates back to the early 1980s, when Timmerman defined resilience as "the ability of human communities to withstand external shocks or perturbations to their infrastructure and to recover from such perturbations". In this paper, a literature review of the existing methodologies to quantify urban resilience is presented according to a civil engineering perspective. Different approaches, for diverse applications, are examined and discussed. A particular focus is done on the studies from Cavallaro et al. and Bozza et al., approaching disaster resilience of urban environments to natural hazards according to the complex networks theory.
C1 [Bozza, Anna; Asprone, Domenico] Univ Naples Federico II, Dept Struct Engn & Architecture, I-80125 Naples, Italy.
   [Fabbrocino, Francesco] Pegaso Univ, Dept Civil Engn, I-80125 Naples, Italy.
C3 University of Naples Federico II; Pegaso Online University
RP Bozza, A (corresponding author), Univ Naples Federico II, Dept Struct Engn & Architecture, I-80125 Naples, Italy.
EM anna.bozza@unina.it; domenico.asprone@unina.it;
   francesco.fabbrocino@unipegaso.it
RI Asprone, Domenico/G-8166-2012; Fabbrocino, Francesco/AFR-4646-2022
OI Bozza, Anna/0000-0002-7321-2165; Fabbrocino,
   Francesco/0000-0001-8712-1048
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2006, SIM C 2006 WSC 06 P
   Asprone D., 2013, P 11 INT C STRUCT SA
   Attoh-Okine NO, 2009, IEEE SYST J, V3, P147, DOI 10.1109/JSYST.2009.2019148
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Bocchini P., 2011, P COMPDYN 2011 5 THE
   Bozza A., 2015, P COMPDYN 2015 5 ECC
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M., 2006, 8 US NATL C EARTHQUA, P18
   Cardona OD, 2008, J EARTHQ ENG, V12, P60, DOI 10.1080/13632460802013511
   Cavallaro M, 2014, COMPUT-AIDED CIV INF, V29, P608, DOI 10.1111/mice.12080
   Chang S. E., 2004, RES PROGR ACCOMPLISH, P87
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davis CA, 2014, EARTHQ SPECTRA, V30, P1487, DOI 10.1193/022912EQS058M
   Decò A, 2013, EARTHQ ENG STRUCT D, V42, P1469, DOI 10.1002/eqe.2282
   Dorbritz R, 2011, ENVIRONMENTAL ENGINEERING, VOLS 1-3, P1070
   Franchin P, 2013, WOODHEAD PUBL MATER, P465, DOI 10.1533/9780857098986.4.465
   Franchin P, 2015, COMPUT-AIDED CIV INF, V30, P583, DOI 10.1111/mice.12092
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Freckleton D, 2012, TRANSPORT RES REC, P109, DOI 10.3141/2284-13
   Gotangco C. K., 2015, J FLOOD RISK MANAG
   Heaslip K., P TRANSP RES BOARD 8
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Kimhi S, 2004, J COMMUNITY PSYCHOL, V32, P439, DOI 10.1002/jcop.20012
   Latora V., 2011, PHYS REV LETT
   Leu George., 2010, Resilience of Ground Transportation Networks: A Case Study on Melbourne
   Li Y, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005636
   Makana LO, 2016, TUNN UNDERGR SP TECH, V55, P21, DOI 10.1016/j.tust.2015.11.016
   Mensah A. F., 2015, J STRUCT ENG, P142
   Miles SB, 2015, ENVIRON HAZARDS-UK, V14, P103, DOI 10.1080/17477891.2014.999018
   Miller-Hooks E, 2012, COMPUT OPER RES, V39, P1633, DOI 10.1016/j.cor.2011.09.017
   O'Rourke T.D., 2007, Bridge-Washington-National Academy of Engineering, V37, P22
   Olick JK, 1998, ANNU REV SOCIOL, V24, P105, DOI 10.1146/annurev.soc.24.1.105
   Omer M, 2009, IEEE SYST J, V3, P295, DOI 10.1109/JSYST.2009.2022570
   Ouyang M., 2012, CHAOS, P22
   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
   Paredes R., 2015, P 12 INT C APPL STAT
   Pitilakis K., 2014, GEOTECH GEOL EARTHQ, V27, P111
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Renschler C. S., 2010, P 9 US NAT 10 CAN C
   Rose A., 2015, 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]
   Rose A. Z., 2009, EC RESILIENCE DISAST
   Rose A, 2013, INT J DISAST RISK RE, V5, P73, DOI 10.1016/j.ijdrr.2013.08.003
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   Ruitenbeek HJ, 1996, ECOL ECON, V17, P49, DOI 10.1016/0921-8009(95)00103-4
   Timmermann P., 1981, ENV MONOGRAPH, V1, P1
   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]
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Vugrin ED, 2011, PROCESS SAF PROG, V30, P280, DOI 10.1002/prs.10437
   Vugrin ED, 2010, SUSTAINABLE AND RESILIENT CRITICAL INFRASTRUCTURE SYSTEMS: SIMULATION, MODELING, AND INTELLIGENT ENGINEERING, P77, DOI 10.1007/978-3-642-11405-2_3
NR 56
TC 48
Z9 53
U1 14
U2 210
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2017
VL 9
IS 1
AR 103
DI 10.3390/su9010103
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 EL8AO
UT WOS:000394842700101
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Cariolet, JM
   Vuillet, M
   Diab, Y
AF Cariolet, Jean-Marie
   Vuillet, Marc
   Diab, Youssef
TI Mapping urban resilience to disasters - A review
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Review
DE Urban resilience; Map; GIS; Resilience indicators
ID SOCIAL VULNERABILITY; COMMUNITY RESILIENCE; CITY ECOSYSTEMS; NATURAL
   HAZARDS; NETWORKS; ENHANCE; INDEX; INDICATORS; FRAMEWORK; CAPACITY
AB Maps and Geographic Information Systems (GIS) are widely used to better understand and manage risks in modern cities. While methods for mapping hazard, vulnerability and risk are well established, mapping resilience in urban areas poses a challenge as there are no agreed-on methodological approaches for doing so. This paper surveys proposed methodologies and approaches for mapping urban resilience to disasters. Our review shows that (1) adaptive resilience is mapped after a disaster mainly through the measure of recovery and inherent resilience is mapped using top-down approaches. Regarding inherent resilience (2), very few methods have been applied at city scale; (3) the limit between resilience and vulnerability mapping is still narrow and may cause confusion for decision makers; (4) the choice of variables and indicators to measure and map resilience is often a function of data availability and reliability; (5) indicators developed in one specific context should not be applied systematically to other contexts as resilience is a context-dependent concept; (6) most resilience maps are based on an analytical approach and do not reflect the systemic property of resilience.
C1 [Cariolet, Jean-Marie; Vuillet, Marc; Diab, Youssef] EIVP, Ecole Ingenieurs Ville Paris, LabUrba EA3482, Paris, France.
C3 Universite Gustave-Eiffel; Universite Paris-Est-Creteil-Val-de-Marne
   (UPEC)
RP Cariolet, JM (corresponding author), EIVP, Ecole Ingenieurs Ville Paris, LabUrba EA3482, Paris, France.
EM jean-marie.cariolet@eivp-paris.fr
OI cariolet, Jean-Marie/0009-0003-4148-0522
CR Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 2005, RESILIENT CITY MODER
   [Anonymous], 2013, STRONG MOR RES
   [Anonymous], 2006, CAH GEOGR QUE, DOI DOI 10.7202/014868AR
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Bates S, 2014, ECON MODEL, V42, P445, DOI 10.1016/j.econmod.2014.07.027
   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
   Biggs Reinette, 2015, Building Principles for Resilience: Sustaining Ecosystem Services in Social -Ecological Systems
   Bozza A, 2017, INT J URBAN SUSTAIN, V9, P136, DOI 10.1080/19463138.2016.1244538
   Bozza A, 2017, COMPUT-AIDED CIV INF, V32, P527, DOI 10.1111/mice.12275
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cai H, 2016, WATER-SUI, V8, DOI 10.3390/w8020046
   Cariolet JM, 2018, SCI TOTAL ENVIRON, V615, P588, DOI 10.1016/j.scitotenv.2017.09.334
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chen SC, 2008, ENG GEOL, V98, P86, DOI 10.1016/j.enggeo.2008.01.008
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Chun H., 2017, SUSTAINABILITY, V9, P1
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001592
   Contreras D, 2018, INT J DISAST RISK RE, V28, P450, DOI 10.1016/j.ijdrr.2017.09.048
   Cova T. J., 1999, GEOGRAPHICAL INFORM
   Crampton J., 2014, INTRO HUMAN GEOGRAPH, P192
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   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
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dai L, 2013, NATURE, V496, P355, DOI 10.1038/nature12071
   Ehret M., 2015, RESIN STATE ART REPO
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Foster K.A., 2007, Working Paper 2007-08
   Foster KA, 2012, URBAN AND REGIONAL POLICY AND ITS EFFECTS: BUILDING RESILIENT REGIONS, VOL 4, P24
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Heesen J, 2014, INT J DISAST RISK SC, V5, P74, DOI 10.1007/s13753-014-0014-5
   Highfield WE, 2014, J PLAN EDUC RES, V34, P287, DOI 10.1177/0739456X14531828
   Hudec O, 2018, CITIES, V73, P24, DOI 10.1016/j.cities.2017.10.004
   IAU, 2017, REF NAT VULN IN EXP, P102
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Joerin J, 2014, DISASTERS, V38, P540, DOI 10.1111/disa.12058
   Kabir MH, 2018, PROCEDIA ENGINEER, V212, P1107, DOI 10.1016/j.proeng.2018.01.143
   Kammouh O, 2018, ASCE-ASME J RISK U A, V4, DOI 10.1061/AJRUA6.0000940
   Klimesova D., 2012, INT J MATH MODELS ME, V6, P20
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Koren A, 2017, VEGETABLE GRAFTING: PRINCIPLES AND PRACTICES, P245, DOI 10.1079/9781780648972.0245
   Kuscahyadi F, 2017, AIP CONF PROC, V1857, DOI 10.1063/1.4987118
   Laganier R., 2016, RESILIENCE VULENRABI
   Lam NSN, 2015, CARTOGR GEOGR INF SC, V42, P315, DOI 10.1080/15230406.2015.1040999
   Lam NSN, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047935
   Landau B., 2016, RESILIENCE VULNERABI
   Larsen J., 2000, THESIS
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Mahmoud H, 2018, COMPUT-AIDED CIV INF, V33, P353, DOI 10.1111/mice.12318
   Martins M. C. D. M., 2019, TRANSPORTATION RES D
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miles S. B, 2011, CARTOGR GEOGR INF SC, V38, P5
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Prashar S, 2012, NAT HAZARDS, V64, P1609, DOI 10.1007/s11069-012-0320-4
   Qin WM, 2017, NAT HAZARDS, V89, P331, DOI 10.1007/s11069-017-2967-3
   Reghezza M., 2016, RESILIENCE VULNERABI
   Reghezza-Zitt M, 2012, CYBERGEO, DOI 10.4000/cybergeo.25554
   Ren C, 2012, INT J APPL EARTH OBS, V18, P207, DOI 10.1016/j.jag.2012.01.026
   Renschler C. S., 2010, TECHNICAL REPORT
   Roche S, 2013, GEOJOURNAL, V78, P21, DOI 10.1007/s10708-011-9423-9
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   Ross A.D., 2014, Local Disaster Resilience: Administrative and Political Perspectives
   Schipper E. L. F., 2015, WORKING PAPER
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Shim JH, 2015, SUSTAINABILITY-BASEL, V7, P14153, DOI 10.3390/su71014153
   Siebeneck L, 2015, NAT HAZARDS, V79, P955, DOI 10.1007/s11069-015-1886-4
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Sutter D, 2010, NAT HAZARDS, V53, P125, DOI 10.1007/s11069-009-9416-x
   Tabibian M, 2016, SCI IRAN, V23, P1699, DOI 10.24200/sci.2016.2240
   Tate E, 2011, T GIS, V15, P689, DOI 10.1111/j.1467-9671.2011.01284.x
   Tierney K., 2007, HDB DISASTERS
   Tomaszewski B., 2015, Geographic information systems (GIS) for disaster management (
   Touili N., 2017, VERTIGO, V17
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   Van Zandt S, 2012, HOUS POLICY DEBATE, V22, P29, DOI 10.1080/10511482.2011.624528
   Wardekker A., 2018, Solutions, V9
   Yoon D. K., 2016, J ENV PLANNING MANAG, V59
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
NR 89
TC 154
Z9 163
U1 31
U2 264
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
PY 2019
VL 51
AR 101746
DI 10.1016/j.scs.2019.101746
PG 14
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 JI8WT
UT WOS:000493744700051
OA Green Published
DA 2025-04-22
ER

PT J
AU Peng, KJ
   He, XR
   Xu, CX
AF Peng, Kunjie
   He, Xiaorong
   Xu, Chunxiao
TI Coupling Coordination Relationship and Dynamic Response between
   Urbanization and Urban Resilience: Case of Yangtze River Delta
SO SUSTAINABILITY
LA English
DT Article
DE urbanization; urban resilience; coupling coordination; spatio-temporal
   evolution; dynamic response; the Yangtze River Delta
ID INTEGRATED APPROACH; ENVIRONMENT; TOURISM; MODEL; PROVINCE; CITY
AB In the context of rapid urbanization, urban resilience, as a new way of thinking to seek solutions to urban risk crises, has become an important direction and a new development trend in the continued acceleration of urbanization. This study takes the Yangtze River Delta (YRD) as the study object, establishes a comprehensive evaluation index system of urbanization and urban resilience from a multi-dimensional perspective based on the improved entropy value method, and uses the coupling coordination degree (CCD) model, the kernel density estimation method, and the exploratory spatial data analysis (ESDA) method to investigate the spatio-temporal evolution trends of the CCD level of urbanization and urban resilience. Further, the dynamic response relationship of the coupling between the two systems is revealed by the PVAR model. The study results are shown as follows: (1) The urbanization level and the urban resilience level show a box-shaped clustering of overall urbanization values and urban resilience values, with a widening absolute gap between extreme value cities. (2) The kernel density estimates of CCD values for urbanization and urban resilience show an upward trend in the overall level of CCD, with regional integration replacing multi-level differentiation. (3) The level of CCD shows a continuous upward trend in terms of the spatial distribution characteristics of CCD, and the high-class area shows regional integration. (4) The spatial agglomeration trend of CCD continues to develop, reaching a region-wide hot spot agglomeration. (5) The PVAR model indicates that there is a dynamic response relationship between the urbanization system and the urban resilience system. Finally, based on the above research results, this study gives policy recommendations for the coordination and sustainable development of the urbanization system and the urban resilience system, providing some academic references for the relevant departments in the YRD to accelerate urbanization, enhance the urban resilience level, and promote regional integration.
C1 [Peng, Kunjie; He, Xiaorong; Xu, Chunxiao] Hunan Normal Univ, Coll Tourism, Changsha 410081, Peoples R China.
C3 Hunan Normal University
RP He, XR; Xu, CX (corresponding author), Hunan Normal Univ, Coll Tourism, Changsha 410081, Peoples R China.
EM hxr@hunnu.edu.cn; 10939@hunnu.edu.cn
RI Peng, Kunjie/KCK-9554-2024
FU Hunan Province Postgraduate Research Innovation Project [CX20220479];
   National Natural Science Foundation of China [41971187]; Hunan Province
   Natural Science Foundation Project [2022JJ30387]
FX This research was funded by the Hunan Province Postgraduate Research
   Innovation Project, grant number CX20220479, the National Natural
   Science Foundation of China, grant number 41971187, and the Hunan
   Province Natural Science Foundation Project, grant number 2022JJ30387.
CR Addai K, 2022, ENVIRON SCI POLLUT R, V29, P27749, DOI 10.1007/s11356-021-17311-x
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Andrews DWK, 2001, J ECONOMETRICS, V101, P123, DOI 10.1016/S0304-4076(00)00077-4
   Botezat A, 2021, INT REGIONAL SCI REV, V44, P33, DOI 10.1177/0160017620964861
   Brana S, 2012, EMERG MARK REV, V13, P256, DOI 10.1016/j.ememar.2012.02.002
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chan P, 2019, URBAN SCI, V3, DOI 10.3390/urbansci3040104
   Cui D, 2019, J ENVIRON MANAGE, V234, P189, DOI 10.1016/j.jenvman.2018.12.091
   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
   Silva AMD, 2022, J URBAN PLAN DEV, V148, DOI 10.1061/(ASCE)UP.1943-5444.0000818
   El-Kholei AO, 2019, ALEX ENG J, V58, P479, DOI 10.1016/j.aej.2019.04.004
   Erlando A, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e05235
   Fan T, 2020, ASIA PAC J TOUR RES, V25, P967, DOI 10.1080/10941665.2020.1808492
   Fang GC, 2020, SCI TOTAL ENVIRON, V727, DOI 10.1016/j.scitotenv.2020.138710
   Gao YP, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244024
   Guo LF, 2021, DISCRETE DYN NAT SOC, V2021, DOI 10.1155/2021/1555362
   Guo YT, 2015, HABITAT INT, V45, P135, DOI 10.1016/j.habitatint.2014.06.030
   Heinzlef C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102762
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong T, 2022, MATH PROBL ENG, V2022, DOI 10.1155/2022/7339005
   Hou YX, 2021, SCI TOTAL ENVIRON, V801, DOI 10.1016/j.scitotenv.2021.149699
   Jiao S., 2018, Human Geograph, V33, P77, DOI [10.13959/j.issn.1003-2398.2018.06.010, DOI 10.13959/J.ISSN.1003-2398.2018.06.010]
   Komugabe-Dixson AF, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100973
   Lam NSN, 2015, CARTOGR GEOGR INF SC, V42, P315, DOI 10.1080/15230406.2015.1040999
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li WJ, 2021, SCI TOTAL ENVIRON, V791, DOI 10.1016/j.scitotenv.2021.148311
   Li YF, 2012, J ENVIRON MANAGE, V98, P127, DOI 10.1016/j.jenvman.2011.12.025
   Li Y, 2018, J CLEAN PROD, V195, P1505, DOI 10.1016/j.jclepro.2017.10.227
   Liu BQ, 2018, J CLEAN PROD, V197, P1374, DOI 10.1016/j.jclepro.2018.06.295
   Liu JR, 2021, PHYS CHEM EARTH, V122, DOI 10.1016/j.pce.2021.103005
   Liu LG, 2020, ASIA PAC J TOUR RES, V25, P1251, DOI 10.1080/10941665.2020.1851272
   Liu NA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010456
   Liu Y, 2022, LAND USE POLICY, V113, DOI 10.1016/j.landusepol.2021.105866
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Luo X, 2022, WATER-SUI, V14, DOI 10.3390/w14071083
   Lv T., 2019, LAND-BASEL, V8, P178, DOI DOI 10.3390/land8120178
   Ma F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072593
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Niu JK, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041983
   Nyström M, 2019, NATURE, V575, P98, DOI 10.1038/s41586-019-1712-3
   Peng J, 2016, ENVIRON MODELL SOFTW, V83, P286, DOI 10.1016/j.envsoft.2016.06.007
   Ren YH, 2022, LAND-BASEL, V11, DOI 10.3390/land11060882
   Rogerson RJ, 2021, URBAN STUD, V58, P1967, DOI 10.1177/0042098020936498
   Rybak-Niedziólka K, 2021, DESALIN WATER TREAT, V232, P357, DOI 10.5004/dwt.2021.27588
   Shen WL, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12073403
   Shi YJ, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17051587
   Su HD, 2021, AGR WATER MANAGE, V243, DOI 10.1016/j.agwat.2020.106503
   Tang Z, 2015, TOURISM MANAGE, V46, P11, DOI 10.1016/j.tourman.2014.06.001
   Wan J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12218821
   Wang J, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.893964
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang ZB, 2019, J ENVIRON MANAGE, V243, P227, DOI 10.1016/j.jenvman.2019.04.088
   Wang ZY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042077
   Xiong YN, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14105889
   Xu D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030822
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang F., 2022, Inf. Syst., V2022, DOI [10.1155/2022/9921309, DOI 10.1155/2022/9921309]
   Zeng P, 2022, J CLEAN PROD, V365, DOI 10.1016/j.jclepro.2022.132730
   Zhang BF, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14092268
   Zhang C, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8111101
   Zhang HX, 2022, MATH PROBL ENG, V2022, DOI 10.1155/2022/1091278
   ZHANG H, 2022, J GEOGR SCI, V32, P1241, DOI 10.1007/s11442-022-1995-4
   Zhang Y., 2022, ECOL INDIC, P17, DOI [10.13239/j.bjsshkxy.cswt.220502, DOI 10.13239/J.BJSSHKXY.CSWT.220502]
   Zhao W, 2022, LAND-BASEL, V11, DOI 10.3390/land11071054
   Zhou JL, 2022, LAND-BASEL, V11, DOI 10.3390/land11060853
   [周倩 Zhou Qian], 2020, [水土保持研究, Research of Soil and Water Conservation], V27, P286
NR 67
TC 16
Z9 16
U1 14
U2 111
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 3
AR 2702
DI 10.3390/su15032702
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 8U7JC
UT WOS:000930122600001
OA gold
DA 2025-04-22
ER

PT J
AU Cutini, V
   Pezzica, C
AF Cutini, Valerio
   Pezzica, Camilla
TI Street Network Resilience Put to the Test: The Dramatic Crash of Genoa
   and Bologna Bridges
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; Space Syntax; sustainable urban form; street network
   resilience; resilience indicators; decision support system; urban
   disaster
ID URBAN STREETS; SPACE SYNTAX; LINES; FORM
AB Various hazards and endemic threats are increasingly looming over cities, leading planners to rely on a rich toolbox of flexible and inclusive planning instruments and methods, capable of dealing with unpredicted events or sudden urban contingencies, when seeking sustainable urban futures. While sustainability-oriented innovative planning approaches are gaining momentum, ways to embed connected concepts in operational planning and design decision support systems have yet to be fully developed and validated. This paper tackles this issue by proposing and testing, in a real-life scenario, a method for the computational analysis of street network resilience, based on Space Syntax theory. The method is suitable to quantify the capacity of urban grids to absorb sudden disturbances and adapt to change, and to offer support for mitigation decisions and their communication to the public. It presents a set of configurational resilience indices, whose reliability is qualitatively assessed considering the ex-ante and ex-post urban configurations generated by two exceptional and dramatic bridge crashes. These events occurred almost simultaneously in two Italian cities with peculiarly similar characteristics. The results confirm the value of the proposal and highlight urban form, and particularly its grid, as a key driver in building urban resilience, together with the self-organisation capacity of local communities.
C1 [Cutini, Valerio; Pezzica, Camilla] Univ Pisa, Dept Energy Syst Terr & Construct Engn DESTEC, I-56122 Pisa, Italy.
C3 University of Pisa
RP Pezzica, C (corresponding author), Univ Pisa, Dept Energy Syst Terr & Construct Engn DESTEC, I-56122 Pisa, Italy.
EM valerio.cutini@ing.unipi.it; pezzicac@cardiff.ac.uk
RI Pezzica, Camilla/GQQ-0754-2022
OI CUTINI, VALERIO/0000-0003-4065-6226; Pezzica,
   Camilla/0000-0002-0512-7591
FU University of Pisa [PRA_2018_35]
FX This research was funded by the University of Pisa, Research Project
   PRA_2018_35 "Approcci eco-sostenibili per i sistemi idrici e la
   riqualificazione del territorio in ambito urbano."
CR 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]
   Amirfeiz M., PONTE MORANDI GRONDA
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   [Anonymous], R COR STATS PACK
   Barabasi A.-L., 2014, LINKED EVERYTHING IS, P1
   Batty M, 2004, ENVIRON PLANN B, V31, P615, DOI 10.1068/b2985
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Bologna Today, INC BOL DEV CHIL DUR
   Borsekova K, 2019, NEW HORIZ REG SCI, P1, DOI 10.4337/9781788970105
   Botequilha-Leitao A, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102089
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Carpenter A., 2013, 9 INT SPAC SYNT S SE
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Chokhachian A, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101952
   Cutini V., 2015, P 10 INT SPAC SYNT S
   Cutini V., 2013, 9THSSS P SPAC SYNT 9
   Cutter SL, 2016, GEOGR J, V182, P110, DOI 10.1111/geoj.12174
   Dalton N.S.C., 2011, THESIS
   Elmqvist T., 2014, RESILIENT SUSTAINABL, P19, DOI [10.4324/9780203593066, DOI 10.4324/9780203593066]
   Elmqvist T, 2017, NATURE, V546, P352, DOI 10.1038/546352d
   Feliciotti A, 2016, OPEN HOUSE INT, V41, P23
   Genova24.it, 2019, TRAFF VIA ALB TORN D
   Gini C., 1910, BIBL DELLECONOMISTA, VXX, P1
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Hillier B., 1984, The Social Logic of Space
   Hillier Bill., 2012, J SPACE SYNTAX, V3, P155
   Huffpost, 2018, LHUFFPOST
   Jacobs Jane, 1961, DEATH LIFE GREAT AM
   Janssen MA, 2006, ECOL SOC, V11
   Kato S, 2008, J ENVIRON PLANN MAN, V51, P543, DOI 10.1080/09640560802117028
   Kim HK, 2002, CITIES, V19, P409, DOI 10.1016/S0264-2751(02)00071-9
   Koch D., 2009, P 7 INT SPAC SYNT S
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Lorenz MO, 1905, J AM STAT ASSOC, V9, P209
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Nilsson L., 2019, The mathematics of urban morphology, P93
   Pelorosso R, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101867
   Pezzica C., 2019, P 12 INT SPAC SYNT S
   Pezzica C., 2020, ADV SCI TECHN INN P
   Porta S, 2006, ENVIRON PLANN B, V33, P705, DOI 10.1068/b32045
   Porta S, 2006, PHYSICA A, V369, P853, DOI 10.1016/j.physa.2005.12.063
   Portugali J, 2011, UNDERST COMPLEX SYST, P1, DOI 10.1007/978-3-642-19451-1
   RStudio Team, 2015, RSTUDIO INT DEV R
   Salat S., 2012, Energy Efficiency - A Bridge to Low Carbon Economy, P25, DOI [10.5772/38599, DOI 10.5772/38599]
   Schipper E.L. F., 2015, Overseas Development Institute - Working, P30, DOI DOI 10.13140/RG.2.1.2430.0882
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2018, LECT N ENERG, V65, P167, DOI 10.1007/978-3-319-75798-8_9
   Turner A, 2007, ENVIRON PLANN B, V34, P539, DOI 10.1068/b32067
   United Nations Department of Economic and Social Affairs Population, 2019, WORLD POP PROSP, DOI [10.1093/infdis/jiaa099, DOI 10.1093/infdis/jiaa099]
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   Varoudis T., DEPTHMAPX VAROUDIS
   Webb C., 2008, Complexity theory for a sustainable future
   Zeileis A., 2015, Ineq: measuring inequality, concentration, and poverty
NR 56
TC 10
Z9 10
U1 0
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2020
VL 12
IS 11
AR 4706
DI 10.3390/su12114706
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 MC6JX
UT WOS:000543391800369
OA Green Published, gold, Green Accepted
DA 2025-04-22
ER

PT J
AU Tian, MD
   Sun, ZR
AF Tian, Mandi
   Sun, Zuoren
TI Does the Innovative City Pilot Policy Improve Urban Resilience? Evidence
   from China
SO SUSTAINABILITY
LA English
DT Article
DE innovative city pilot policy (ICPP); urban resilience;
   difference-in-differences (DID) model; propensity score
   matching-difference-in-differences (PSM-DID)
ID COMMUNITY RESILIENCE; ECONOMIC RESILIENCE; FLOOD HAZARDS; CRISIS;
   GROWTH; FRAMEWORK; DEVELOP; EUROPE
AB The assessment of the relationship between the innovative city pilot policy (ICPP) and urban resilience is crucial for enhancing cities' ability to foresee, endure, and recover from various disruptive events. Despite the widespread implementation of the ICPP in China, it remains uncertain if this strategy will contribute to the development of urban resilience. Starting with data collected from 245 prefecture-level cities in China from 2004 to 2020, this paper initially evaluates the causal effect of the policy intervention using the difference-in-differences (DID) model and the propensity score matching-difference-in-differences (PSM-DID) method. A multi-dimensional urban resilience measurement index and a mediating effect model were constructed. The empirical results show that (1) the ICPP has a significant effect on urban resilience, which remains in force after a series of robustness tests, such as a placebo test and difference-in-differences machine learning (DML) approach; (2) regional R&D investment, technological talent attraction, green innovation capability enhancement, and information infrastructure development are identified as the mediating variable for the ICPP's impact on urban resilience dimensions; and (3) heterogeneity study results show that the ICPP has a significantly greater impact on medium-sized cities, attributed to their capacity to enhance the resilience of cities with more growing space. Furthermore, cities with lower economic agglomeration saw a greater increase in urban resilience due to the ICPP. Accordingly, it is recommended to prioritize the allocation of innovative resources to non-coastal regions, cities with low economic agglomeration, and medium-sized cities. This study provides crucial recommendations for the enlargement of the ICPP's scale and coordinated progress of China's urban resilience.
C1 [Tian, Mandi; Sun, Zuoren] Shandong Univ, Sch Business, Weihai 264209, Peoples R China.
C3 Shandong University
RP Sun, ZR (corresponding author), Shandong Univ, Sch Business, Weihai 264209, Peoples R China.
EM 202100620194@mail.sdu.edu.cn; sunzuoren@sdu.edu.cn
OI Sun, Zuoren/0000-0001-8628-550X
FU Shandong Social Science Planning Research Project;  [22CJJJ24]
FX This research was supported by the Shandong Social Science Planning
   Research Project under Grant No. 22CJJJ24.
CR Addanki SC, 2017, SUSTAIN CITIES SOC, V32, P1, DOI 10.1016/j.scs.2017.03.009
   Aghion P, 2014, HBK ECON, P515, DOI 10.1016/B978-0-444-53540-5.00001-X
   Alam MT, 2018, TECHNOLOGIES, V6, DOI 10.3390/technologies6040099
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Archibugi D, 2013, RES POLICY, V42, P303, DOI 10.1016/j.respol.2012.07.002
   Argyroudis SA, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2021.100387
   Argyroudis SA, 2019, RELIAB ENG SYST SAFE, V191, DOI 10.1016/j.ress.2019.106567
   ASHENFELTER O, 1985, REV ECON STAT, V67, P648, DOI 10.2307/1924810
   Baloch MA, 2021, BUS STRATEG ENVIRON, V30, P176, DOI 10.1002/bse.2615
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Battisti M, 2015, J ECON MANAGE STRAT, V24, P390, DOI 10.1111/jems.12094
   Beck T, 2010, J FINANC, V65, P1637, DOI 10.1111/j.1540-6261.2010.01589.x
   Benaim M, 2018, RES POLICY, V47, P901, DOI 10.1016/j.respol.2018.02.014
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Botequilha-Leitao A, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102089
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Capello R, 2015, J ECON GEOGR, V15, P951, DOI 10.1093/jeg/lbu053
   Chen Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041551
   Cheng XF, 2016, ADV INTEL SYS RES, V128, P54
   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
   Colten CE., 2008, CARRI Report, V3, P2
   Cutter S.L., 2012, Hazards vulnerability and environmental justice, DOI [10.4324/9781849771542, DOI 10.4324/9781849771542]
   David L, 2018, EUR PLAN STUD, V26, P1041, DOI 10.1080/09654313.2018.1448754
   de Kraker J, 2017, CURR OPIN ENV SUST, V28, P100, DOI 10.1016/j.cosust.2017.09.002
   Duranton G, 2003, Handbook of regional and urban economics, V9931, P3, DOI [DOI 10.1016/S1574-0080(04)80005-1, 10.3386/w9931]
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Fan WY, 2020, RENEW ENERG, V146, P598, DOI 10.1016/j.renene.2019.06.170
   Fastenrath S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030693
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Figueiredo L., 2018, Indicators for Resilient Cities. OECD Regional Development Working Papers, V2
   Galaitsi SE, 2021, RISK ANAL, V41, P3, DOI 10.1111/risa.13577
   Gao K, 2021, TECHNOL FORECAST SOC, V172, DOI 10.1016/j.techfore.2021.121047
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gornitz V, 2020, URBAN CLIM, V33, DOI 10.1016/j.uclim.2020.100654
   Griffith R, 2003, SCAND J ECON, V105, P99, DOI 10.1111/1467-9442.00007
   Hall P.G., 1998, Cities in Civilization, P21
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Holl A, 2018, J REGIONAL SCI, V58, P837, DOI 10.1111/jors.12392
   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
   Hu X., 2020, Handbook on Regional Economic Resilience, P54, DOI [DOI 10.4337/9781785360862.00009, https://doi.org/10.4337/9781785360862.00009]
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Jones L., 2010, Towards a characterisation of adative capacity: a framework for analysing adaptive capacity at the local level
   Kammouh O, 2018, ASCE-ASME J RISK U A, V4, DOI 10.1061/AJRUA6.0000940
   Keeley B., 2007, OECD OBSER, V261, P25
   Keim ME, 2008, AM J PREV MED, V35, P508, DOI 10.1016/j.amepre.2008.08.022
   Kwok AH, 2016, INT J DISAST RISK RE, V19, P197, DOI 10.1016/j.ijdrr.2016.08.013
   Lak A, 2020, J ENVIRON PLANN MAN, V63, P2194, DOI 10.1080/09640568.2020.1714561
   Laska S, 2012, INT J CRIT INFRASTRU, V8, P47, DOI 10.1504/IJCIS.2012.046552
   Lee PC, 2024, PUBLIC LIBR Q, V43, P339, DOI 10.1080/01616846.2023.2251860
   Li D, 2023, ENVIRON IMPACT ASSES, V98, DOI 10.1016/j.eiar.2022.106954
   Li L, 2022, J ENVIRON MANAGE, V318, DOI 10.1016/j.jenvman.2022.115605
   Li Y, 2021, SUSTAIN PROD CONSUMP, V28, P1724, DOI 10.1016/j.spc.2021.09.012
   Lobo J, 2013, SCIENTOMETRICS, V96, P819, DOI 10.1007/s11192-013-0970-3
   Martinez-Fernandez C, 2016, PROG PLANN, V105, P1, DOI 10.1016/j.progress.2014.10.001
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Mavhura E, 2017, GEOFORUM, V86, P103, DOI 10.1016/j.geoforum.2017.09.008
   Mayunga J.S., 2007, SUMMER ACAD SOCIAL V, V1, P1, DOI DOI 10.1146/ANNUREV.ENERGY.32.051807.090348
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mehmood Y, 2017, IEEE COMMUN MAG, V55, P16, DOI 10.1109/MCOM.2017.1600514
   Nicola M, 2020, INT J SURG, V78, P185, DOI 10.1016/j.ijsu.2020.04.018
   Nikkhah A, 2019, SCI TOTAL ENVIRON, V665, P538, DOI 10.1016/j.scitotenv.2019.02.170
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ouyang M, 2014, STRUCT SAF, V48, P15, DOI 10.1016/j.strusafe.2014.01.001
   Poulin C, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.107926
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Ngo QT, 2022, CHINA FINANC REV INT, V12, P261, DOI 10.1108/CFRI-05-2021-0087
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Sharifi A, 2023, PROG PLANN, V173, DOI 10.1016/j.progress.2023.100740
   Shi T, 2022, TECHNOL ECON DEV ECO, V28, P979, DOI 10.3846/tede.2022.16721
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Tan JT, 2017, CHINESE GEOGR SCI, V27, P471, DOI 10.1007/s11769-017-0878-6
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wang DL, 2020, RESOUR POLICY, V67, DOI 10.1016/j.resourpol.2020.101682
   Wang H, 2021, J URBAN MANAG, V10, P255, DOI 10.1016/j.jum.2021.06.006
   Wang H, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107163
   Wang J, 2013, J DEV ECON, V101, P133, DOI 10.1016/j.jdeveco.2012.10.009
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Woolf S, 2016, INT J DISAST RISK RE, V19, P280, DOI 10.1016/j.ijdrr.2016.08.003
   Wu Y, 2019, SCI TOTAL ENVIRON, V656, P576, DOI 10.1016/j.scitotenv.2018.11.384
   Xia Q, 2022, ENERGY REP, V8, P4695, DOI 10.1016/j.egyr.2022.03.168
   Xiao J, 2018, IND CORP CHANGE, V27, P15, DOI 10.1093/icc/dtx023
   Xiao Z., 2019, J. Arid. Land Resour. Environ, V33, P3
   [杨莹 Yang Ying], 2019, [地理学报, Acta Geographica Sinica], V74, P266
   Yao F, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102448
   Yi YC, 2022, ENVIRON SCI POLLUT R, V29, P86692, DOI 10.1007/s11356-022-21722-9
   Zhang JF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151914289
   Zhang MF, 2022, J CLEAN PROD, V363, DOI 10.1016/j.jclepro.2022.132461
   Zhang SP, 2022, TECHNOL FORECAST SOC, V174, DOI 10.1016/j.techfore.2021.121200
   Zhang YF, 2021, INT J CRIT INFR PROT, V35, DOI 10.1016/j.ijcip.2021.100455
   Zhao FF, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104494
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhao WQ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15097377
   Zhou Q, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104084
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   Zhu SY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109959
   Zuromski KL, 2019, J CONSULT CLIN PSYCH, V87, P671, DOI 10.1037/ccp0000400
NR 104
TC 1
Z9 1
U1 26
U2 26
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 9985
DI 10.3390/su16229985
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 N8A1Y
UT WOS:001366489000001
OA gold
DA 2025-04-22
ER

PT J
AU Ma, BQ
   Hauer, RJ
   Wei, HX
   Koeser, AK
   Peterson, W
   Simons, K
   Timilsina, N
   Werner, LP
   Xu, CY
AF Ma, Bingqian
   Hauer, Richard J.
   Wei, Hongxu
   Koeser, Andrew K.
   Peterson, Ward
   Simons, Ken
   Timilsina, Nilesh
   Werner, Les P.
   Xu, Chengyang
TI An Assessment of Street Tree Diversity: Findings and Implications in the
   United States
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Management; Plant Selection; Resilience; Tree Diversity; Urban Forestry
ID EMERALD ASH BORER; URBAN FOREST; NORTH-AMERICA; SCALE; MANAGEMENT;
   CITIES; PATTERNS
AB Integrating tree species diversity into urban forest management can help create resilient tree populations. In this study, the abundance of trees within families, genera, and species levels was determined through a system developed to evaluate the diversity of urban street trees at different scales. Municipal foresters were asked to report the six street tree species most commonly used in urban forests as an assessment of tree diversity. Through the use of this question in a series of urban forest management surveys, we were able to describe the diversity of urban street tree species in the 48 continental United States across time (1974 to 2014) and space (national, regional, and local levels). Throughout the United States the top six street tree species were distributed in 115 species, 71 genera, and 32 families. At the national scale, no one tree species or family dominated, but the Acer genus was 21.2% (0.8 standard error, or SE). At the regional level, 16.5% (3.3 SE) of all reported street trees were Acer platanoides in the Northeast region, and 8.1% (1.1 SE) of the South region were Quercus virginiana. At the local level, however, a lack of tree diversity becomes apparent. In any community, the top six reported tree species account for 61.5% (0.4 SE) of the total street tree population and the most common tree accounts for 23.7% (1.0 SE) of the total. When assessed over a 40-year period, changes in tree species and genera in each region were relatively minor. Among them, the Mideast and Northeast regions continued to be dominated by Acer and the South region maintained its preference for Quercus. This study provides a method to assess street tree populations when using surveys to quantify municipal forestry programs at state and national levels.
C1 [Ma, Bingqian; Xu, Chengyang] Beijing Forestry Univ, Res Ctr Urban Forestry, Key Lab Silviculture & Forest Ecosyst Res Arid &, Key Lab Forest Silviculture & Conservat,Minist Ed, Beijing 100083, Peoples R China.
   [Hauer, Richard J.; Timilsina, Nilesh; Werner, Les P.] Univ Wisconsin, Coll Nat Resource, Stevens Point, WI 54481 USA.
   [Wei, Hongxu] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China.
   [Koeser, Andrew K.] Univ Florida, Gulf Coast Res & Educ Ctr, 14625 CR 672, Wimauma, FL 33598 USA.
   [Peterson, Ward] Davey Resource Grp, Util & Urban Resources, 1500N Mantua St, Kent, OH 44240 USA.
   [Simons, Ken] Landscape Architect & Consulting Arborist, Blaine, MN 55449 USA.
C3 Beijing Forestry University; University of Wisconsin System; University
   of Wisconsin Stevens Point; Chinese Academy of Sciences; Northeast
   Institute of Geography & Agroecology, CAS; State University System of
   Florida; University of Florida
RP Hauer, RJ (corresponding author), Univ Wisconsin, Coll Nat Resource, Stevens Point, WI 54481 USA.
EM 18810975270@163.com; rhauer@uwsp.edu; weihongxu@iga.ac.cn;
   akoeser@ufl.edu; wardpeterson1@gmail.com; heritree@comcast.net;
   ntimilsi@uwsp.edu; lwerner@uwsp.edu; cyxu@bjfu.edu.cn
RI Ma, Bingqi/AAA-4578-2022; Wei, Hongxu/ACS-0567-2022
OI Wei, Hongxu/0000-0002-7108-5342
FU TREE Fund; Wisconsin Arborist Association; University of Wisconsin
   -Stevens Point (UWSP) College of Natural Resources; UWSP Office of
   Sponsored Research; USDA -Forest Service; USDA McIntire-Stennis Program;
   China Scholarship Council; Beijing Forestry University
FX Funding for this project was provided by the TREE Fund, Wisconsin
   Arborist Association, University of Wisconsin -Stevens Point (UWSP)
   College of Natural Resources, UWSP Office of Sponsored Research, USDA
   -Forest Service, and the USDA McIntire-Stennis Program. Our thanks is
   extended to the Municipal Tree Care and Management in the United States
   project review team members: Julia Bartens, Carrie Gallagher, Joe
   Gregory, Burney Fisher, Gary Johnson, Dana Karcher, Wes Kocher, Andrew
   Koeser, Ed Macie, Jack McCabe, Paul Ries, Phil Rodbell, Jim Skiera, Pete
   Smith, and Jess Vogt. We also thank to the China Scholarship Council and
   Beijing Forestry University for supporting the first author of this
   paper during her Visiting Research Scholar activities at the University
   of Wisconsin-Stevens Point.
CR [Anonymous], 2006, LANDSCAPE TREES SHRU
   [Anonymous], 2015, Urban forestry: Planning and managing urban greenspaces
   Avolio ML, 2015, FRONT ECOL EVOL, V3, DOI 10.3389/fevo.2015.00073
   Ball J., 2016, ARBORIST NEWS, V25, P48
   Barker P. A., 1975, Journal of Arboriculture, V1, P212
   Blood A, 2016, FORESTS, V7, DOI 10.3390/f7060120
   Campana R. J., 1981, Canadian Journal of Plant Pathology, V3, P252
   Chen SS, 2008, SPRINGER SER ENV MAN, P259, DOI 10.1007/978-0-387-71425-7_16
   Chun HJ, 2019, IOP CONF SER-MAT SCI, V686, DOI 10.1088/1757-899X/686/1/012003
   Cowett F. D., 2017, Arboriculture & Urban Forestry, V43, P1
   CURRIE DJ, 1991, AM NAT, V137, P27, DOI 10.1086/285144
   Dirr M.A., 2009, MANUAL WOODY LANDSCA
   Duryea Mary L., 2007, Arboriculture & Urban Forestry, V33, P83
   Gartner Justine T., 2002, Journal of Arboriculture, V28, P76
   Giedraitis J P., 1982, Municipal Tree Management, V14
   Grossiord C, 2020, NEW PHYTOL, V228, P42, DOI 10.1111/nph.15667
   Gundersen Vegard Sverre, 2008, Urban Forestry & Urban Greening, V7, P241, DOI 10.1016/j.ufug.2008.05.001
   Hauer R.J., 2017, Routledge Handbook of Urban Forestry, P17, DOI 10.4324/9781315627106
   Hauer R.J., 2016, Spec. Publ., V16-1, P1
   Hauer R.J., 2018, SPECIAL PUBLICATION
   Hauer RJ, 2020, URBAN ECOSYST, V23, P1005, DOI 10.1007/s11252-020-00976-6
   Hauer RJ, 2017, LANDSCAPE URBAN PLAN, V157, P98, DOI 10.1016/j.landurbplan.2016.05.023
   Hauer Richard J., 2011, Arboriculture & Urban Forestry, V37, P236
   Herms DA, 2014, ANNU REV ENTOMOL, V59, P13, DOI 10.1146/annurev-ento-011613-162051
   Intasen M, 2017, J SUSTAIN FOREST, V36, P148, DOI 10.1080/10549811.2016.1265455
   Jin J, 2020, LANDSCAPE URBAN PLAN, V195, DOI 10.1016/j.landurbplan.2019.103722
   Kendal D., 2017, RISKS AUSTR URBAN FO RISKS AUSTR URBAN FO
   Kendal D, 2014, URBAN FOR URBAN GREE, V13, P411, DOI 10.1016/j.ufug.2014.04.004
   Kielbaso J.B., 1988, TRENDS URBAN FORESTR
   Koeser AK, 2020, URBAN FOR URBAN GREE, V52, DOI 10.1016/j.ufug.2020.126701
   Liu Hui-Yu, 2005, Acta Ecologica Sinica, V25, P1635
   McPherson E. G., 1997, Urban Ecosystems, V1, P49, DOI 10.1023/A:1014350822458
   McPherson E.G., 1989, LANDSCAPE J, V8, P13, DOI DOI 10.3368/LJ.8.1.13
   McPherson E. Gregory, 2010, Arboriculture & Urban Forestry, V36, P230
   Miller R. H., 1991, Journal of Arboriculture, V17, P185
   Moll G., 1989, A Resource Guide for Urban and Community Forests, P119
   Morgenroth J, 2016, URBAN FOR URBAN GREE, V15, P1, DOI 10.1016/j.ufug.2015.11.003
   Motz K, 2010, FOREST ECOL MANAG, V260, P1985, DOI 10.1016/j.foreco.2010.08.046
   Nitoslawski SA, 2016, ENVIRON REV, V24, P471, DOI 10.1139/er-2016-0027
   Nowak D. J., 1990, Journal of Arboriculture, V16, P291
   Nowak David J., 1993, Journal of Arboriculture, V19, P313
   Ordonez JC, 2014, CURR OPIN ENV SUST, V6, P54, DOI 10.1016/j.cosust.2013.10.009
   Ottman K.A., 1976, MANAGING MUNICIPAL T, V8
   Pincetl S, 2013, LANDSCAPE URBAN PLAN, V118, P10, DOI 10.1016/j.landurbplan.2013.05.002
   Plant Lynda, 2019, Arboriculture & Urban Forestry, V45, P41
   POLANIN N, 1991, Journal of Arboriculture, V17, P303
   Raupp Michael J., 2006, Arboriculture & Urban Forestry, V32, P297
   Roman LA, 2018, URBAN FOR URBAN GREE, V31, P157, DOI 10.1016/j.ufug.2018.03.004
   Rosenzweig Michael L., 1995, DOI 10.1017/CBO9780511623387.002
   Santamour F. S., 1990, Trees for the Nineties: Landscape Tree Selection, Testing, Evaluation, and Introduction, P57
   Shackleton CM, 2020, URBAN FOR URBAN GREE, V48, DOI 10.1016/j.ufug.2019.126507
   Simons K., 2014, Arborist News, V23, P34
   Simons K., 2018, ARBORIST NEWS, V27, P44
   Sjöman H, 2019, URBAN ECOSYST, V22, P385, DOI 10.1007/s11252-019-0824-8
   Sjöman H, 2012, URBAN FOR URBAN GREE, V11, P31, DOI 10.1016/j.ufug.2011.09.004
   SMARDON RC, 1988, LANDSCAPE URBAN PLAN, V15, P85, DOI 10.1016/0169-2046(88)90018-7
   Smith M T., 2008, International Pest Control, V50, P311
   Steenberg JWN, 2017, ENVIRON REV, V25, P115, DOI 10.1139/er-2016-0022
   Stipes R.J., 2000, The Elms, P157, DOI DOI 10.1007/978-1-4615-4507-1_9
   Subburayalu S, 2012, LANDSCAPE URBAN PLAN, V106, P44, DOI 10.1016/j.landurbplan.2012.02.004
   Talal ML, 2020, ECOL APPL, V30, DOI 10.1002/eap.2079
   Thompson R.P., 2018, STATE URBAN COMMUNIT
   U.S. Census Bureau, 2016, TERMS DEF
   USDA-FS, 2016, NIC PORT EAUTHENTICA
   [USDA-NRCS] U.S. Department of Agriculture-Natural Resources Conservation Service, 2019, PLANTS DAT
   Vannatta AR, 2012, J ECON ENTOMOL, V105, P196, DOI 10.1603/EC11130
   Vastag E., 2019, Topola, V204, P17
   Vogt Jess, 2015, Arboriculture & Urban Forestry, V41, P293
   Wang ZH, 2009, P NATL ACAD SCI USA, V106, P13388, DOI 10.1073/pnas.0905030106
   Whittaker RJ, 2001, J BIOGEOGR, V28, P453, DOI 10.1046/j.1365-2699.2001.00563.x
   Yang J, 2015, GLOBAL ECOL BIOGEOGR, V24, P1413, DOI 10.1111/geb.12376
   Zhou HZ, 2000, CHINESE BIODIVERSITY, V8, P325, DOI DOI 10.17520/BI0DS.2000047
NR 72
TC 35
Z9 39
U1 7
U2 68
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 DEC
PY 2020
VL 56
AR 126826
DI 10.1016/j.ufug.2020.126826
PG 13
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 PG1RT
UT WOS:000599520700005
OA Bronze
DA 2025-04-22
ER

PT J
AU Jiang, W
   Wang, KL
   Miao, Z
AF Jiang, Wei
   Wang, Ke-Liang
   Miao, Zhuang
TI How does internet development affect urban eco-resilience: evidence from
   China
SO ECONOMIC CHANGE AND RESTRUCTURING
LA English
DT Article
DE Eco-resilience; Internet development; Spatial mediating effect;
   Heterogeneity analysis
ID FOREIGN DIRECT-INVESTMENT; ECOLOGICAL RESILIENCE; AIR-POLLUTION;
   INFRASTRUCTURE; ENERGY; MANAGEMENT; CONTRIBUTE; INNOVATION; ECONOMY;
   GROWTH
AB The crucial role of internet development in ecological governance has been widely recognized, but there has been little research focusing on the relationship between internet development and urban eco-resilience. Using panel data from 282 China's prefecture-level cities between 2003 and 2020, this study comprehensively investigates internet development' impact on urban eco-resilience, quantifying its direct and spatial spillover effects, and examining its mechanisms, heterogeneities, nonlinear and exogenous policy shock effect. The findings indicate: (1) Internet development can boost urban eco-resilience but have negative spillover effects on surrounding cities, as confirmed by various robustness checks. (2) Significant heterogeneities exist in internet development's impact on urban eco-resilience. Non-resource-based cities benefit, while resource-based cities show limited effect. Non-environmentally-focused and central cities benefit more from internet development compared to environmentally-focused and peripheral cities. Surrounding cities of non-resource-based and central cities experience weakened eco-resilience due to internet development, but the negative effects are less pronounced in resource-based and peripheral cities. (3) Green innovation, industrial structure upgrading, and resource allocation optimization are verified as three key channels for enhancing urban eco-resilience through internet development. (4) The relation between internet development and urban eco-resilience exhibits a nonlinear pattern, and the exogenous policy shock effect analysis also confirms the robustness of the baseline regression results. The conclusions above contribute valuable insights into the strategies and approaches that can be adopted to leverage the potential of internet development in fostering urban eco-resilience for China and other developing countries.
C1 [Jiang, Wei; Wang, Ke-Liang] Ocean Univ China, Sch Econ, 238, Songling Rd, Qingdao 266100, Shandong, Peoples R China.
   [Miao, Zhuang] Southwestern Univ Finance & Econ, China Western Econ Res Ctr, Chengdu 611130, Sichuan, Peoples R China.
C3 Ocean University of China; Southwestern University of Finance &
   Economics - China
RP Wang, KL (corresponding author), Ocean Univ China, Sch Econ, 238, Songling Rd, Qingdao 266100, Shandong, Peoples R China.
EM klwang@163.com
OI Ke-Liang, Wang/0000-0003-3220-0296
FU National Natural Science Foundation of China [72373138, 71973131];
   National Natural Science Foundation of China [17VHQ002]; Major Project
   of National Social Science Foundation of China
FX The authors gratefully acknowledge the financial support provided by the
   National Natural Science Foundation of China (Nos. 72373138 and
   71973131), Major Project of National Social Science Foundation of China
   (No. 17VHQ002).
CR Anselin Luc., 2008, Spatial Panel Econometrics, P625, DOI DOI 10.1007/978-3-540-75892-1_19
   Bai CQ, 2021, N AM J ECON FINANC, V58, DOI 10.1016/j.najef.2021.101505
   Baker AC, 2022, J FINANC ECON, V144, P370, DOI 10.1016/j.jfineco.2022.01.004
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Cai XQ, 2016, J DEV ECON, V123, P73, DOI 10.1016/j.jdeveco.2016.08.003
   Cao JJ, 2018, LAND USE POLICY, V74, P88, DOI 10.1016/j.landusepol.2017.07.027
   Cengiz D, 2019, Q J ECON, V134, P1405, DOI 10.1093/qje/qjz014
   Chaffin BC, 2016, J ENVIRON MANAGE, V183, P399, DOI 10.1016/j.jenvman.2016.04.040
   Chen YT, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.885976
   Huynh CM, 2019, APPL ECON LETT, V26, P1388, DOI 10.1080/13504851.2018.1563668
   Czernich N, 2011, ECON J, V121, P505, DOI 10.1111/j.1468-0297.2011.02420.x
   Desjardins E, 2015, Q REV BIOL, V90, P147, DOI 10.1086/681439
   Ding WF, 2023, ENVIRON SCI POLLUT R, V30, P43229, DOI 10.1007/s11356-023-25193-4
   Dinlersoz EM, 2012, AM ECON REV, V102, P884, DOI 10.1257/aer.102.2.884
   Fang Z, 2022, TECHNOL SOC, V68, DOI 10.1016/j.techsoc.2021.101844
   Feng Y, 2023, ECON ANAL POLICY, V77, P581, DOI 10.1016/j.eap.2022.12.020
   [冯苑 Feng Yuan], 2021, [科学学研究, Studies in Science of Science], V39, P2089
   Ge T, 2022, RENEW ENERG, V197, P1106, DOI 10.1016/j.renene.2022.08.046
   Han YH, 2021, ENERG POLICY, V154, DOI 10.1016/j.enpol.2021.112286
   Hao Y., 2022, Innov. Green Develop, V1, P100003, DOI [DOI 10.1016/J.IGD.2022.100003, 10.1016/j.igd.2022.100003]
   Hao Y, 2022, ENERG POLICY, V164, DOI 10.1016/j.enpol.2022.112912
   He SY, 2017, CITIES, V60, P75, DOI 10.1016/j.cities.2016.07.009
   Hjort J, 2019, AM ECON REV, V109, P1032, DOI 10.1257/aer.20161385
   Ho KC, 2023, TECHNOL FORECAST SOC, V188, DOI 10.1016/j.techfore.2022.122314
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong WY, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104057
   Hu XY, 2022, ENVIRON SCI POLLUT R, V29, P90868, DOI 10.1007/s11356-022-22168-9
   Huang Y, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102882
   Iqbal J, 2018, SUSTAIN CITIES SOC, V43, P443, DOI 10.1016/j.scs.2018.09.020
   Ke XL, 2021, J CLEAN PROD, V311, DOI 10.1016/j.jclepro.2021.127613
   Kennedy CA, 2014, NAT CLIM CHANGE, V4, P343, DOI 10.1038/NCLIMATE2160
   Kong M, 2022, GLOBAL NEST J, V24, P135, DOI 10.30955/gnj.003827
   Koutroumpis P, 2009, TELECOMMUN POLICY, V33, P471, DOI 10.1016/j.telpol.2009.07.004
   LeSage J.P., 2008, An Introduction to Spatial Econometrics, P19, DOI [DOI 10.4000/REI.3887, 10.1201/9781420064254, DOI 10.1201/9781420064254]
   Li D, 2023, ENVIRON IMPACT ASSES, V98, DOI 10.1016/j.eiar.2022.106954
   Li DK, 2022, TELECOMMUN POLICY, V46, DOI 10.1016/j.telpol.2021.102229
   Li L, 2020, ENERGY, V195, DOI 10.1016/j.energy.2019.116842
   Li M, 2022, ENVIRON IMPACT ASSES, V95, DOI 10.1016/j.eiar.2022.106810
   Li MJ, 2021, ENERGY, V237, DOI 10.1016/j.energy.2021.121590
   Li QY, 2021, RESOUR POLICY, V71, DOI 10.1016/j.resourpol.2020.101940
   Li X, 2022, ENERG ECON, V114, DOI 10.1016/j.eneco.2022.106254
   Liao LW, 2023, LAND-BASEL, V12, DOI 10.3390/land12010141
   Liao ZJ, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-33342-5
   Lieder M, 2016, J CLEAN PROD, V115, P36, DOI 10.1016/j.jclepro.2015.12.042
   Lin BQ, 2021, SUSTAIN PROD CONSUMP, V28, P1, DOI 10.1016/j.spc.2021.03.016
   Liu L., 2023, Finance Research Letters., DOI [10.1016/j.frl.2023.103870, DOI 10.1016/J.FRL.2023.103870]
   Liu X, 2022, CITIES, V123, DOI 10.1016/j.cities.2022.103582
   Liu XP, 2023, ENVIRON RES COMMUN, V5, DOI 10.1088/2515-7620/acc5dc
   Liu YJ, 2023, STRUCT CHANGE ECON D, V66, P161, DOI 10.1016/j.strueco.2023.04.017
   Long RY, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102415
   Luo Q, 2022, TELECOMMUN POLICY, V46, DOI 10.1016/j.telpol.2022.102440
   Luo YS, 2023, TECHNOL FORECAST SOC, V189, DOI 10.1016/j.techfore.2023.122352
   Ma D, 2022, J BUS RES, V145, P801, DOI 10.1016/j.jbusres.2022.03.041
   Marmura S, 2008, NEW MEDIA SOC, V10, P247, DOI 10.1177/1461444807086469
   Meijers H., 2014, International Economics and Economic Policy, V11, P137, DOI [10.1007/s10368-013-0251-x, DOI 10.1007/S10368-013-0251-X]
   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
   Moyer JD, 2012, TECHNOL FORECAST SOC, V79, P919, DOI 10.1016/j.techfore.2011.12.005
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   Pan MJ, 2023, RESOUR POLICY, V81, DOI 10.1016/j.resourpol.2023.103345
   Peng L, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15020430
   Peng X, 2020, SCI TOTAL ENVIRON, V732, DOI 10.1016/j.scitotenv.2020.139200
   Ren SM, 2022, BUS STRATEG ENVIRON, V31, P1656, DOI 10.1002/bse.2975
   Ren SY, 2023, J ENVIRON PLANN MAN, V66, P1533, DOI 10.1080/09640568.2022.2033959
   Ren SY, 2021, ENERG ECON, V98, DOI 10.1016/j.eneco.2021.105220
   Röller LH, 2001, AM ECON REV, V91, P909, DOI 10.1257/aer.91.4.909
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Solow R.M., 1987, New York Times Book Review, V36
   Sun J, 2019, MANAG ENVIRON QUAL, V30, P483, DOI 10.1108/MEQ-05-2018-0101
   Sun LY, 2021, J ECONOMETRICS, V225, P175, DOI 10.1016/j.jeconom.2020.09.006
   Tang C, 2022, TECHNOL SOC, V69, DOI 10.1016/j.techsoc.2022.101963
   Tang Y, 2023, ENVIRON SCI POLLUT R, V30, P41299, DOI 10.1007/s11356-023-25155-w
   Tian Y, 2022, J CLEAN PROD, V378, DOI 10.1016/j.jclepro.2022.134415
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Tong YJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15064828
   Vachon S, 2008, INT J PROD ECON, V111, P299, DOI 10.1016/j.ijpe.2006.11.030
   Vos T, 2020, LANCET, V396, P1562
   Wang J, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118133
   Wang KL, 2023, SOCIO-ECON PLAN SCI, V87, DOI 10.1016/j.seps.2023.101607
   Wang KL, 2022, TECHNOL FORECAST SOC, V184, DOI 10.1016/j.techfore.2022.122017
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   Wu HT, 2021, ENERG ECON, V103, DOI 10.1016/j.eneco.2021.105577
   Wu HT, 2021, ENERG POLICY, V153, DOI 10.1016/j.enpol.2021.112247
   Wu LF, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102329
   Wu XX, 2022, INT REV ECON FINANC, V77, P312, DOI 10.1016/j.iref.2021.10.002
   Xi B, 2023, KYBERNETES, V52, P518, DOI 10.1108/K-02-2022-0279
   Xiao W, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108167
   Xiao W, 2020, ECOL INDIC, V109, DOI 10.1016/j.ecolind.2019.105843
   Xu Q, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154321
   Xu R, 2023, J INNOV KNOWL, V8, DOI 10.1016/j.jik.2023.100382
   Xu YB, 2023, ENVIRON DEV SUSTAIN, V25, P13281, DOI 10.1007/s10668-022-02615-w
   Yang XD, 2021, STRUCT CHANGE ECON D, V56, P207, DOI 10.1016/j.strueco.2020.12.001
   Yu BB, 2022, TECHNOL FORECAST SOC, V177, DOI 10.1016/j.techfore.2022.121527
   Yuan Y, 2022, ECOL ENG, V175, DOI 10.1016/j.ecoleng.2021.106486
   Zhou FX, 2022, TELECOMMUN POLICY, V46, DOI 10.1016/j.telpol.2022.102347
   Zhou Q, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104084
   Zhou Y, 2022, POL J ENVIRON STUD, V31, P2381, DOI 10.15244/pjoes/144098
   [左鹏飞 Zuo Pengfei], 2020, [数量经济技术经济研究, Quantitative & Technical Economics], V37, P71
NR 100
TC 4
Z9 4
U1 23
U2 74
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1573-9414
EI 1574-0277
J9 ECON CHANG RESTRUCT
JI Econ. Chang. Restruct.
PD APR
PY 2024
VL 57
IS 2
AR 49
DI 10.1007/s10644-024-09632-x
PG 40
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA JD7T2
UT WOS:001171296100003
DA 2025-04-22
ER

PT J
AU Ye, X
   Du, J
   Han, Y
   Newman, G
   Retchless, D
   Zou, L
   Ham, Y
   Cai, Z
AF Ye, Xinyue
   Du, Jiaxin
   Han, Yu
   Newman, Galen
   Retchless, David
   Zou, Lei
   Ham, Youngjib
   Cai, Zhenhang
TI Developing Human-Centered Urban Digital Twins for Community
   Infrastructure Resilience: A Research Agenda
SO JOURNAL OF PLANNING LITERATURE
LA English
DT Article
DE digital twin; human-centered; infrastructure resilience; urban planning
ID CITY MODELS; BIG DATA; SYSTEM; SIMULATION; MANAGEMENT; FUTURE; RISK; WEB
AB Urban digital twins (UDTs) have been identified as a potential technology to achieve digital transformative positive urban change through landscape architecture and urban planning. However, how this new technology will influence community resilience and adaptation planning is currently unclear. This article: (1) offers a scoping review of existing studies constructing UDTs, (2) identifies challenges and opportunities of UDT technologies for community adaptation planning, and (3) develops a conceptual framework of UDTs for community infrastructure resilience. This article highlights the need for integrating multi-agent interactions, artificial intelligence, and coupled natural-physical-social systems into a human-centered UDTs framework to improve community infrastructure resilience.
RP Ye, X (corresponding author), Texas M Univ, Dept Landscape Architecture & Urban Planning, Xinyue Ye, College Stn, TX 77840 USA.
EM xinyue.ye@tamu.edu
RI Zou, Lei/AAV-8227-2020; Han, Yu/AGV-4382-2022; Du, Jiaxin/LIG-2985-2024;
   ye, xinyue/A-7677-2011
OI Han, Yu/0000-0003-2361-9802; ye, xinyue/0000-0001-8838-9476; Du,
   Jiaxin/0000-0003-4116-1612
FU National Institute of Environmental Health Sciences [P42ES027704]
   Funding Source: NIH RePORTER
CR Aboushal EA, 2021, J URBAN PLAN DEV, V147, DOI 10.1061/(ASCE)UP.1943-5444.0000723
   Ahn C.R., 2020, P 53 HAW INT C SYST
   Akroyd J, 2021, DATA-CENTRIC ENG, V2, DOI 10.1017/dce.2021.10
   Allam Z, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105201
   Anejionu OCD, 2019, FUTURE GENER COMP SY, V98, P456, DOI 10.1016/j.future.2019.03.052
   Arrighi C, 2021, NAT HAZARD EARTH SYS, V21, P1955, DOI 10.5194/nhess-21-1955-2021
   Batty M., INVENTING FUTURE CIT
   Batty M, 2021, ENVIRON PLAN B-URBAN, V48, P593, DOI 10.1177/23998083211016122
   Batty M, 2018, ENVIRON PLAN B-URBAN, V45, P817, DOI 10.1177/2399808318796416
   Biljecki F, 2015, ISPRS INT GEO-INF, V4, P2842, DOI 10.3390/ijgi4042842
   Bolton A., 2018, Gemini Principles
   Bostrom N, 2003, PHILOS QUART, V53, P243, DOI 10.1111/1467-9213.00309
   Bradley P. E., 2015, 3 INT S STAT LEARN D
   Cai H, 2018, ANN AM ASSOC GEOGR, V108, P1260, DOI 10.1080/24694452.2017.1421896
   Carvalho R, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11125519
   Cheliotis K, 2021, SOFTWAREX, V15, DOI 10.1016/j.softx.2021.100771
   Cheliotis K, 2020, COMPUT ENVIRON URBAN, V81, DOI 10.1016/j.compenvurbsys.2020.101476
   Crooks A. T., 2011, ADV TECHNIQUES BUILD, V1, P49
   Davlasheridze M, 2021, CLIMATIC CHANGE, V166, DOI 10.1007/s10584-021-03106-z
   Dembski F., 2020, GERMANY SUSTAINABILI, V12, P17, DOI [10.3390/su12062307, DOI 10.3390/SU12062307]
   Döllner J, 2020, PFG-J PHOTOGRAMM REM, V88, P15, DOI 10.1007/s41064-020-00102-3
   Evans-Cowley J, 2010, J PLAN LIT, V25, P136, DOI 10.1177/0885412210394100
   Fan C, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000745
   Fereshtehnejad E, 2021, NAT HAZARDS REV, V22, DOI 10.1061/(ASCE)NH.1527-6996.0000459
   Flavelle C., 2021, NEW YORK TIMES
   Ford DN, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000779
   Forster J., 2015, 33 INT C ED RES COMP
   Francisco A, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000741
   Glake D., 2017, P AG DIR SIM S VIRG
   Gobeawan L., 2018, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., P55, DOI [10.5194/isprs-archives-XLII-4-W10-55-2018, DOI 10.5194/ISPRS-ARCHIVES-XLII-4-W10-55-2018]
   Gong J., 2017, ASCE INT WORKSH COMP
   Ham Y, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000748
   Han TR, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229701
   Han Y, 2022, TRANSPORTATION, V49, P163, DOI 10.1007/s11116-021-10172-w
   Han Y, 2020, CLIMATIC CHANGE, V162, P2257, DOI 10.1007/s10584-020-02802-6
   Han Y, 2019, COMPUT ENVIRON URBAN, V76, P69, DOI 10.1016/j.compenvurbsys.2019.04.001
   Homainejad AS, 2015, INT ARCH PHOTOGRAMM, V47, P1381, DOI 10.5194/isprsarchives-XL-7-W3-1381-2015
   Hor AH, 2016, ISPRS ANN PHOTO REM, V3, P73, DOI 10.5194/isprsannals-III-4-73-2016
   Howell S., 2016, 2 IEEE INT SMART CIT
   Jelokhani-Niaraki M, 2021, INT J GEOGR INF SCI, V35, P9, DOI 10.1080/13658816.2020.1776870
   Ketzler B., 2020, Built Environ, V46, P547, DOI [10.2148/benv.46.4.547, DOI 10.2148/BENV.46.4.547]
   Kim J, 2019, COMPUTING IN CIVIL ENGINEERING 2019: SMART CITIES, SUSTAINABILITY, AND RESILIENCE, P451
   Korinek M., 2021, DIGITAL TWIN MODELS, DOI [10.36689/uhk/hed/2021-01-040, DOI 10.36689/UHK/HED/2021-01-040]
   Kudo F, 2015, CONF BUS INFORM, P85, DOI 10.1109/CBI.2015.26
   Kudva Sonali., 2017, Big Data and Cognitive Computing, V1, P4, DOI [10.3390/BDCC1010004, DOI 10.3390/BDCC1010004, 10.3390/bdcc1010004]
   Kunze A, 2016, GIM INT, V30, P34
   Ledoux Hugo, 2019, Open Geospatial Data, Software and Standards, V4, DOI 10.1186/s40965-019-0064-0
   Ledoux Hugo, 2021, J. Open Source Softw., V6, P2866, DOI DOI 10.21105/JOSS.02866
   Lehner H, 2020, PFG-J PHOTOGRAMM REM, V88, P63, DOI 10.1007/s41064-020-00101-4
   Lenfers UA, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137000
   Li DR, 2021, COMPUT URBAN SCI, V1, DOI 10.1007/s43762-021-00005-y
   Li WM, 2016, LANDSCAPE URBAN PLAN, V156, P5, DOI 10.1016/j.landurbplan.2016.09.009
   Liang JM, 2016, ISPRS INT J GEO-INF, V5, DOI 10.3390/ijgi5110212
   Liu XP, 2017, LANDSCAPE URBAN PLAN, V168, P94, DOI 10.1016/j.landurbplan.2017.09.019
   Lu QC, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000763
   Mohammadi N, 2017, 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Neumann JE, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03179-w
   Nochta T, 2021, J URBAN TECHNOL, V28, P263, DOI 10.1080/10630732.2020.1798177
   Park S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11164479
   Pedersen AN, 2021, WATER-SUI, V13, DOI 10.3390/w13050592
   Pedersen JST, 2021, GLOBAL ENVIRON CHANG, V66, DOI 10.1016/j.gloenvcha.2020.102199
   Pepe M, 2022, GEOCARTO INT, V37, P120, DOI 10.1080/10106049.2019.1700558
   Prasara-A J, 2017, J CLEAN PROD, V167, P1020, DOI 10.1016/j.jclepro.2016.11.042
   Rathore MM, 2021, IEEE ACCESS, V9, P32030, DOI 10.1109/ACCESS.2021.3060863
   Retchless D, 2021, J MAPS, V17, P123, DOI 10.1080/17445647.2021.1940325
   Rong YT, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2019.124308
   Ruohomäki T, 2018, 2018 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS), P155, DOI 10.1109/IS.2018.8710517
   Rzeszewski M, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10110721
   Schrotter G, 2020, PFG-J PHOTOGRAMM REM, V88, P99, DOI 10.1007/s41064-020-00092-2
   Simpson DM, 2001, J PLAN LIT, V15, P359, DOI 10.1177/08854120122093078
   Small MJ, 2018, GLOBAL ENVIRON CHANG, V53, P137, DOI 10.1016/j.gloenvcha.2018.09.006
   Tao F, 2019, NATURE, V573, P490, DOI 10.1038/d41586-019-02849-1
   Tao J., 2021, TEXAS A M ENG EXPT S
   Tomko M, 2019, ENVIRON PLAN B-URBAN, V46, P395, DOI 10.1177/2399808318816992
   Waddell P., 2020, HDB PLANNING SUPPORT, P486
   White G, 2021, CITIES, V110, DOI 10.1016/j.cities.2020.103064
   Xuan S., 2015, INT C IND TECHN MAN
   Xue F., 2019, 2 INT C SUST BUILD S
   Ye XY, 2021, COMPUT URBAN SCI, V1, DOI 10.1007/s43762-021-00011-0
   Yedavalli P., 2021, SIMUAM COMPREHENSIVE
   Yildirim E, 2019, NAT HAZARDS, V99, P275, DOI 10.1007/s11069-019-03738-6
   Yoo B, 2013, INT J GEOGR INF SCI, V27, P24, DOI 10.1080/13658816.2012.661055
   Zhang WW, 2021, J PLAN EDUC RES, V41, P135, DOI 10.1177/0739456X18776062
   Zhao YX, 2022, J SUPERCOMPUT, V78, P3940, DOI 10.1007/s11227-021-04007-9
   Zhihang Yao, 2018, Open Geospatial Data, Software and Standards, V3, DOI 10.1186/s40965-018-0046-7
   Zhou CY, 2019, IEEE ACCESS, V7, P135582, DOI 10.1109/ACCESS.2019.2941348
   Zou L, 2018, ANN AM ASSOC GEOGR, V108, P1422, DOI 10.1080/24694452.2017.1421897
NR 88
TC 62
Z9 62
U1 94
U2 336
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 MAY
PY 2023
VL 38
IS 2
BP 187
EP 199
DI 10.1177/08854122221137861
PG 13
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA J7IX9
UT WOS:001011331700002
PM 37153810
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Zhao, TY
   Tang, YC
   Li, QM
   Wang, JQ
AF Zhao, Taiyi
   Tang, Yuchun
   Li, Qiming
   Wang, Jingquan
TI Enhancing urban system resilience to earthquake disasters: Impact of
   interdependence and resource allocation
SO INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION
LA English
DT Article
DE Urban resilience; Complex system; Interdependence; Resource allocation;
   Network-based model
ID INFRASTRUCTURE SYSTEMS; TRANSPORTATION NETWORK; SEISMIC RESILIENCE;
   BRIDGE NETWORKS; FRAMEWORK; VULNERABILITY; RECOVERY; SIMULATION; RISK
AB During the post-disaster recovery process of the urban system (US), it is critical to understand the interdependencies of critical infrastructure systems (CISs) and strategically allocate resources among them. However, due to the complexity of the problem and the limitations of the perspective, the existing research usually ignores the implicit impact of interdependence and resource allocation on urban resilience. To bridge this gap, this study establishes a multilayer network-based methodological framework to characterize various types of interdependencies between different CISs and integrate the US as a complex "system of systems". Then, the system functionality of the US under different resource allocation strategies is quantified and optimized by resilience metrics. This proposed framework was demonstrated in a virtual US including a transportation subsystem (TS), an electric power supply subsystem (EPSS), and a community subsystem (CS) under catastrophic earthquakes. The sensitivity of urban resilience to interdependencies is investigated, and the corresponding results reveal that urban resilience is most sensitive to the interdependence between TS and EPSS. In particular, when there exists strong interdependence between the TS and EPSS, the optimal resource allocation strategy to maximize urban resilience is assigning resource allocation coefficients of 0.1, 0.8, and 0.1 for the TS, EPSS, and CS, respectively. These results can be effectively applied in future planning and investment in urban resilience.
C1 [Zhao, Taiyi] Northeast Elect Power Univ, Sch Civil Engn & Architecture, Jilin, Peoples R China.
   [Tang, Yuchun] Hohai Univ, Coll Business, Nanjing, Jiangsu, Peoples R China.
   [Li, Qiming] Southeast Univ, Sch Civil Engn, Dept Construct & Real Estate, Nanjing, Jiangsu, Peoples R China.
   [Wang, Jingquan] Southeast Univ, Sch Civil Engn, Key Lab Concrete & Prestressed Concrete Struct Chi, Minist Educ, Nanjing, Jiangsu, Peoples R China.
C3 Northeast Electric Power University; Hohai University; Southeast
   University - China; Southeast University - China
RP Wang, JQ (corresponding author), Southeast Univ, Sch Civil Engn, Key Lab Concrete & Prestressed Concrete Struct Chi, Minist Educ, Nanjing, Jiangsu, Peoples R China.
EM wangjingquan@seu.edu.cn
RI Skibniewski, Miroslaw/P-5310-2018; Zhao, Taiyi/O-1803-2014; Tang,
   Yuchun/GPX-6909-2022; Wang, Jingquan/AAQ-5977-2020
FU National Natural Science Foundation of China [51978164]
FX This work was supported by the National Natural Science Foundation of
   China [Grant No. 51978164] . Particular thanks also go to the editors
   and anonymous reviewers for their work and contributions.
CR Allan P., 2011, Journal of Landscape Architecture, V6, P34, DOI [10.1080/18626033.2011.9723453, DOI 10.1080/18626033.2011.9723453]
   [Anonymous], 2014, World Urbanization Prospects: The 2014 Revision
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Bozza A, 2017, INT J URBAN SUSTAIN, V9, P136, DOI 10.1080/19463138.2016.1244538
   Brandes U, 2001, J MATH SOCIOL, V25, P163, DOI 10.1080/0022250X.2001.9990249
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Buldyrev SV, 2010, NATURE, V464, P1025, DOI 10.1038/nature08932
   Burton HV, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001321
   Campbell KW, 2008, EARTHQ SPECTRA, V24, P139, DOI 10.1193/1.2857546
   Carreño ML, 2012, B EARTHQ ENG, V10, P547, DOI 10.1007/s10518-011-9302-2
   Ceferino L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18072-w
   Chang S. E., 2000, EARTHQ SPECTRA, V16, P557, DOI [10.1193/1.1586127, DOI 10.1193/1.1586127]
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   COBURN AW, 1992, PROCEEDINGS OF THE TENTH WORLD CONFERENCE ON EARTHQUAKE ENGINEERING, VOLS 1-10, P5989
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Didier M, 2018, SUSTAIN RESIL INFRAS, V3, P86, DOI 10.1080/23789689.2017.1364560
   Dong Y, 2014, J EARTHQ ENG, V18, P41, DOI 10.1080/13632469.2013.841600
   Dueñas-Osorio L, 2007, EARTHQ ENG STRUCT D, V36, P285, DOI 10.1002/eqe.626
   Dueñas-Osorio L, 2012, EARTHQ SPECTRA, V28, pS581, DOI 10.1193/1.4000054
   Feng KR, 2020, STRUCT INFRASTRUCT E, V16, P1578, DOI 10.1080/15732479.2020.1713170
   Gehl P, 2016, STRUCT SAF, V60, P37, DOI 10.1016/j.strusafe.2016.01.006
   Gehl P, 2018, STRUCT INFRASTRUCT E, V14, P1355, DOI 10.1080/15732479.2018.1434671
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Haimes Y.Y., 2001, Journal of Infrastructure Systems, V1, P1, DOI [10.1061/(ASCE)1076-0342(2001)7:1(1, DOI 10.1061/(ASCE)1076-0342(2001)7:1(1]
   Halder L, 2020, J BUILD ENG, V29, DOI 10.1016/j.jobe.2020.101190
   Harrison CG, 2016, SIMUL MODEL PRACT TH, V65, P11, DOI 10.1016/j.simpat.2016.02.008
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Johansson J, 2010, RELIAB ENG SYST SAFE, V95, P1335, DOI 10.1016/j.ress.2010.06.010
   Kong JJ, 2021, RELIAB ENG SYST SAFE, V210, DOI 10.1016/j.ress.2021.107538
   Kröeger W, 2008, RELIAB ENG SYST SAFE, V93, P1781, DOI 10.1016/j.ress.2008.03.005
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Li ZL, 2019, RELIAB ENG SYST SAFE, V188, P503, DOI 10.1016/j.ress.2019.03.052
   Mao Q, 2018, NAT HAZARDS, V93, P315, DOI 10.1007/s11069-018-3302-3
   Marasco S, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102506
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mosalam KM, 2014, EARTHQ ENG STRUCT D, V43, P1205, DOI 10.1002/eqe.2395
   Nan C, 2017, RELIAB ENG SYST SAFE, V157, P35, DOI 10.1016/j.ress.2016.08.013
   Nielson BG, 2007, EARTHQ SPECTRA, V23, P615, DOI 10.1193/1.2756815
   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
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Poulin C, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.107926
   Pumpuni-Lenss G, 2017, SYSTEMS ENG, V20, P158, DOI 10.1002/sys.21387
   Righi AW, 2015, RELIAB ENG SYST SAFE, V141, P142, DOI 10.1016/j.ress.2015.03.007
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Rossetto T, 2003, ENG STRUCT, V25, P1241, DOI 10.1016/S0141-0296(03)00060-9
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Santos JR, 2004, RISK ANAL, V24, P1437, DOI 10.1111/j.0272-4332.2004.00540.x
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Shrestha SR, 2018, APPL GEOGR, V93, P81, DOI 10.1016/j.apgeog.2018.02.016
   Sun L., 2017, Ph.D. Thesis
   Sun L, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.108030
   Sun L, 2019, J INFRASTRUCT SYST, V25, DOI 10.1061/(ASCE)IS.1943-555X.0000492
   Sun L, 2019, RISK ANAL, V39, P1597, DOI 10.1111/risa.13277
   Tang YC, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103037
   Trucco P, 2012, RELIAB ENG SYST SAFE, V105, P51, DOI 10.1016/j.ress.2011.12.003
   Utne IB, 2011, RELIAB ENG SYST SAFE, V96, P671, DOI 10.1016/j.ress.2010.12.006
   Woolf S, 2016, INT J DISAST RISK RE, V19, P280, DOI 10.1016/j.ijdrr.2016.08.003
   Wu YY, 2019, SUSTAIN RESIL INFRAS, V4, P82, DOI 10.1080/23789689.2018.1518026
   Xian H, 2018, RELIAB ENG SYST SAFE, V177, P162, DOI 10.1016/j.ress.2018.04.029
   [肖意 Xiao Yi], 2021, [建筑结构学报, Journal of Building Structures], V42, P194
   Xiong C, 2020, COMPUT-AIDED CIV INF, V35, P322, DOI 10.1111/mice.12496
   Zhao TY, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102246
   Zhou Y.W., 2006, Ph.D. dissertation
   Zou QL, 2021, RELIAB ENG SYST SAFE, V215, DOI 10.1016/j.ress.2021.107800
NR 67
TC 6
Z9 6
U1 27
U2 51
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1874-5482
EI 2212-2087
J9 INT J CRIT INFR PROT
JI Int. J. Crit. Infrastruct. Prot.
PD JUL
PY 2024
VL 45
AR 100673
DI 10.1016/j.ijcip.2024.100673
EA MAR 2024
PG 13
WC Computer Science, Information Systems; Engineering, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering
GA OO3Y2
UT WOS:001208188600001
DA 2025-04-22
ER

PT J
AU Yang, ZW
   Zhang, SF
   Li, FY
AF Yang, Zhiwei
   Zhang, Sufang
   Li, Fengyun
TI The spatio-temporal dynamic evolution and variability pattern of urban
   green resilience in China based on multi-criteria decision-making
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban green resilience; Spatio-temporal dynamic evolution;
   Spatio-temporal variability pattern; Multi-criteria decision-making;
   Back propagation neural network; Exploratory spatio-temporal data
   analysis
AB Environmental challenges significantly impact urban areas, making cities vulnerable to extreme climatic events. Hence, this study introduces an urban green resilience index system and employs a novel multi-criteria decisionmaking method to measure green resilience across Chinese cities. Utilizing exploratory spatio-temporal data analysis, Dagum Spatial Gini coefficient, and geographical detector methods, we examine spatio-temporal dynamic evolution and variability pattern. Key findings are as follows: (1) The overall level of green resilience in Chinese cities has significantly increased over the past decade. (2) Urban green resilience exhibits significant spatial clustering and dependence, with high-high mode in central and eastern China, and low-low mode in the southwest and northwest. (3) Urban green resilience aligns along a northeast-southwest axis, with its center of gravity corresponding to major population and economic centers. (4) There is a spatial convergence in urban green resilience across eastern, central, and western China, with declining Dagum Spatial Gini coefficients suggesting reduced spatial inequality. (5) Exploratory spatio-temporal data analysis indicates stable local spatial structures, but inter-city collaboration remains insufficient for fostering a cooperative developmental pattern for urban green resilience. This study examines the capacity and potential of cities to adapt their development strategies and achieve sustainable growth amidst environmental challenges and uncertainties, including extreme weather events.
C1 [Yang, Zhiwei; Zhang, Sufang] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China.
   [Li, Fengyun] Anhui Univ Finance & Econ, Sch Econ, Bengbu 233030, Peoples R China.
   [Zhang, Sufang] Tufts Univ, Fletcher Sch Law & Diplomacy, Climate Policy Lab, 160 Packard Ave, Medford, MA 02155 USA.
C3 North China Electric Power University; Anhui University of Finance &
   Economics; Tufts University
RP Li, FY (corresponding author), Anhui Univ Finance & Econ, Sch Econ, Bengbu 233030, Peoples R China.
EM yangzw1130@ncepu.edu.cn; 120230035@aufe.edu.cn
RI yang, zhiwei/GVU-2690-2022
OI Yang, Zhiwei/0009-0000-3760-6135
CR Bao Y, 2023, RESOUR CONSERV RECY, V189, DOI 10.1016/j.resconrec.2022.106723
   Butcher S, 2021, ONE EARTH, V4, P1548, DOI 10.1016/j.oneear.2021.10.015
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   Czarnecka K, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105014
   Martínez-Bravo MD, 2019, J CLEAN PROD, V224, P651, DOI 10.1016/j.jclepro.2019.03.110
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huang X, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103891
   Ke XL, 2021, J CLEAN PROD, V311, DOI 10.1016/j.jclepro.2021.127613
   Langemeyer J, 2021, LANDSCAPE URBAN PLAN, V210, DOI 10.1016/j.landurbplan.2021.104055
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Lin XB, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0271343
   Liu T, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104371
   Liu XJ, 2023, J CLEAN PROD, V410, DOI 10.1016/j.jclepro.2023.137203
   Ma YC, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.139078
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mou Y, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125719
   Nieuwenhuijsen M, 2024, LANCET RESP MED, V12, P247, DOI 10.1016/S2213-2600(23)00329-6
   Rahimi-Ardabili H, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18189937
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Siehr SA, 2022, WIRES ENERGY ENVIRON, V11, DOI 10.1002/wene.447
   Wu S, 2021, TECHNOL FORECAST SOC, V169, DOI 10.1016/j.techfore.2021.120837
   Yamashita S, 2016, SUSTAIN CITIES SOC, V27, P175, DOI 10.1016/j.scs.2016.06.027
   Ye XY, 2011, APPL GEOGR, V31, P1049, DOI 10.1016/j.apgeog.2011.02.003
   Zhang XW, 2024, ECOL INDIC, V161, DOI 10.1016/j.ecolind.2024.111942
NR 29
TC 0
Z9 0
U1 65
U2 65
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 DEC 1
PY 2024
VL 116
AR 105887
DI 10.1016/j.scs.2024.105887
EA OCT 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 K7W6F
UT WOS:001345951800001
DA 2025-04-22
ER

PT J
AU Ji, J
   Fang, LP
   Chen, JF
   Ding, TH
AF Ji, Juan
   Fang, Liping
   Chen, Junfei
   Ding, Tonghui
TI A novel framework for urban flood resilience assessment at the urban
   agglomeration scale
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban flood resilience; Evaluation index system; Comparative analysis;
   KL-TOPSIS; Yangtze River Delta urban agglomeration
ID COMMUNITY RESILIENCE; VULNERABILITY; STRATEGY
AB With global climate change and continuous urbanization exacerbating floods, urban flood resilience (UFR) has become a key to cope with floods. However, few studies target frameworks of UFR assessment at the urban agglomeration scale over a longer time span. This study, taking the Yangtze River Delta urban agglomeration as a case study, developed an evaluation framework to detail the building of a final evaluation index system of UFR, to analyze UFR's driving factors and spatiotemporal features based on the SSA-PP-KL-TOPSIS (projection pursuit based on sparrow search algorithm-Kullback-Leibler-technique for order of preference by similarity to ideal solution) model. From the perspectives of comparing numerical values and spatial distribution results, the evaluation indicators and method proposed in this article perform better. The case results showed that UFR displayed an overall growth trend and significant spatial heterogeneities. The economic, social, and infrastructure resilience showed a similar growth trend, while the environmental resilience demonstrated a decreasing trend. Environmental resilience has become a weak link in improving resilience. Higher resilience levels were concentrated in the central metropolis, provincial capitals, and industrial cities. The findings could be of use to researchers and practitioners, and the framework presented would be of reference to other flood-stricken areas.
C1 [Ji, Juan; Chen, Junfei; Ding, Tonghui] Hohai Univ, Business Sch, Nanjing 211100, Peoples R China.
   [Fang, Liping; Chen, Junfei] Toronto Metropolitan Univ, Dept Mech & Ind Engn, Toronto, ON M5B 2K3, Canada.
   [Chen, Junfei] Hohai Univ, Yangtze Inst Conservat & Dev, Nanjing 210098, Jiangsu, Peoples R China.
   [Chen, Junfei] Yangtze Inst Conservat & High Qual Dev, Jiangsu Res Base, Nanjing 210098, Jiangsu, Peoples R China.
C3 Hohai University; Toronto Metropolitan University; Hohai University
RP Chen, JF (corresponding author), Hohai Univ, Business Sch, Nanjing 211100, Peoples R China.; Fang, LP; Chen, JF (corresponding author), Toronto Metropolitan Univ, Dept Mech & Ind Engn, Toronto, ON M5B 2K3, Canada.
EM lfang@torontomu.ca; chenjunfei@hhu.edu.cn
OI Ji, Juan/0000-0003-0596-8785
FU National Natural Science Foundation of China, China [42071278]; Key
   Projects of Jiangsu Social Science Foundation, China [21GLA006];
   Fundamental Research Funds for the Central Universities, China
   [B230207002, B210207036]; China Scholarship Council, China
   [202206710024]; Natural Sciences and Engineering Research Council of
   Canada, Canada under Discovery [RGPIN-2017-04379]
FX The authors are grateful to anonymous referees and the Associate Editor
   for providing constructive comments and suggestions that enhanced the
   quality of this paper. This work was supported by the National Natural
   Science Foundation of China, China (Grant No. 42071278) , Key Projects
   of Jiangsu Social Science Foundation, China (Grant No. 21GLA006) ,
   Fundamental Research Funds for the Central Universities, China (Grant
   No. B230207002 and Grant No. B210207036) , China Scholarship Council,
   China (Grant No. 202206710024) , and Natural Sciences and Engineering
   Research Council of Canada, Canada under Discovery Grant
   RGPIN-2017-04379.
CR Academy of Disaster Reduction and Emergency Management Ministry of Emergency Management School of National Safety and Emergency Management Beijing Normal University National Disaster Reduction Center of China Ministry of Emergency Management International Federation of Red Cross and Red Crescent Societies, 2021, Global natural disaster assessment report
   Ahmad D, 2019, NAT HAZARDS, V99, P337, DOI 10.1007/s11069-019-03743-9
   Bucherie A, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102897
   Chen H., 2016, STAT INFORM FORUM, V31, P17
   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
   Dahm R, 2014, NATURE, V516, P329, DOI 10.1038/516329d
   Ding TH, 2023, SUSTAIN PROD CONSUMP, V35, P184, DOI 10.1016/j.spc.2022.10.028
   Fisher L, 2015, NATURE, V518, P35, DOI 10.1038/518035a
   Forrest SA, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102843
   Hudec O, 2018, CITIES, V73, P24, DOI 10.1016/j.cities.2017.10.004
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Li Y, 2018, ENVIRON INT, V113, P184, DOI 10.1016/j.envint.2018.02.006
   Li Zhengzhao, 2022, Journal of Tsinghua University (Science and Technology), V62, P266, DOI 10.16511/j.cnki.qhdxxb.2021.22.037
   Li ZM, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101140
   Lianxiao, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000551
   Ling TY, 2018, INT J DISAST RISK RE, V27, P541, DOI 10.1016/j.ijdrr.2017.11.020
   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
   Liu D, 2019, J CLEAN PROD, V241, DOI 10.1016/j.jclepro.2019.118406
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Marchetti D, 2020, TRANSPORT RES E-LOG, V135, DOI 10.1016/j.tre.2020.101858
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   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
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Müller A, 2011, NAT HAZARD EARTH SYS, V11, P2107, DOI 10.5194/nhess-11-2107-2011
   National Academies, 2021, Disaster Resilience: A National Imperative, DOI [10.17226/13457, DOI 10.17226/13457]
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Percival S, 2019, NAT HAZARDS, V97, P355, DOI 10.1007/s11069-019-03648-7
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Rijke J, 2013, ENVIRON SCI POLICY, V25, P62, DOI 10.1016/j.envsci.2012.09.012
   Rözer V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/aca8bc
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Sajjad M, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102850
   Sajjad M, 2021, APPL GEOGR, V126, DOI 10.1016/j.apgeog.2020.102367
   Scherzer S, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101107
   Shah MAR, 2020, SUSTAIN DEV, V28, P1404, DOI 10.1002/sd.2094
   Siebeneck L, 2015, NAT HAZARDS, V79, P955, DOI 10.1007/s11069-015-1886-4
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Sun LY, 2017, ECOL INDIC, V73, P554, DOI 10.1016/j.ecolind.2016.10.018
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Vafaei N, 2022, PROCEDIA COMPUT SCI, V199, P1229, DOI 10.1016/j.procs.2022.01.156
   Wang ZR, 2023, RESOUR CONSERV RECY, V191, DOI 10.1016/j.resconrec.2023.106912
   Xu D, 2022, J HYDROL, V610, DOI 10.1016/j.jhydrol.2022.127814
   [俞立平 Yu Liping], 2008, [南京师大学报. 自然科学版, Journal of Nanjing Normal University. Natural Science], V31, P135
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang QX, 2020, ENVIRON HAZARDS-UK, V19, P107, DOI 10.1080/17477891.2019.1671786
   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 55
TC 8
Z9 8
U1 70
U2 110
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 JUN 15
PY 2024
VL 108
AR 104519
DI 10.1016/j.ijdrr.2024.104519
EA MAY 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 TK1V8
UT WOS:001241074700001
OA hybrid
DA 2025-04-22
ER

PT J
AU Li, FL
   Diao, ZY
AF Li, Fanglin
   Diao, Ziyu
TI New urbanization construction and city economic resilience-based on
   multi-period DID tests for 278 cities
SO HELIYON
LA English
DT Article
DE New urbanization; Economic resilience; Technological innovation;
   Industrial structure upgrading
ID CO2 EMISSIONS; CHINA; QUALITY; IMPACT; GROWTH; PERSPECTIVE; INNOVATION;
   POLICY
AB As a key measure to realize Chinese-style modernization, the construction of new urbanization injects new vitality into China 's urban economic growth by building a modern industrial system, and it is also of great significance to improve urban economic resilience. This study examines data from 278 Chinese cities spanning the period 2006-2022, utilizing a multi-period Difference-inDifferences model and a moderating effect model to investigate the impact of new urbanization on cities' economic resilience. The findings indicate that the adoption of modern urbanization significantly enhances cities' economic resilience. Notably, when examined from the perspectives of geographical location, urban scale, urban agglomeration, and urban economic development level, the impact of new urbanization is particularly pronounced in the eastern region, small cities, non-urban agglomeration cities, and cities with lower levels of economic development. The mechanism test demonstrates that new urbanization affects cities' economic resilience by fostering technological innovation and upgrading the industrial structure. Essentially, technological innovation and industrial restructuring serve as intermediaries in fortifying economic resilience through the implementation of new urbanization. As a result, recommendations are formulated to bolster the resilience of urban economies.
C1 [Li, Fanglin; Diao, Ziyu] Jiangsu Univ, Sch Finance & Econ, Zhenjiang 212013, Jiangsu, Peoples R China.
C3 Jiangsu University
RP Diao, ZY (corresponding author), Jiangsu Univ, Sch Finance & Econ, Zhenjiang 212013, Jiangsu, Peoples R China.
EM lifanglin@ujs.edu.cn; 1047698517@qq.com
FU National Natural Science Foundation of China under the "Analysis of
   Corporate Environmental Behavior and Reconstruction of Guiding
   Mechanisms for Reimbursable Use and Trading of Emission Rights"
   [71974081]; Postgraduate Research & Practice Innovation Program of
   Jiangsu Province [KYCX24_3882]
FX This study is supported by the National Natural Science Foundation of
   China under the "Analysis of Corporate Environmental Behavior and
   Reconstruction of Guiding Mechanisms for Reimbursable Use and Trading of
   Emission Rights" (71974081) and the Postgraduate Research & Practice
   Innovation Program of Jiangsu Province (KYCX24_3882).
CR Bailard CS, 2009, POLIT COMMUN, V26, P333, DOI 10.1080/10584600903053684
   Bhushan B, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102360
   Bloem S, 2017, GLOB FOOD SECUR-AGR, V12, P80, DOI 10.1016/j.gfs.2016.09.001
   Bloom D.E., 2007, Development, the Urban Revolution, V44, P9
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Cai HY, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106709
   Chen MX, 2016, LAND USE POLICY, V55, P334, DOI 10.1016/j.landusepol.2015.07.025
   Chen MX, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103799
   Cheng ZH, 2023, ENERGY, V266, DOI 10.1016/j.energy.2022.126494
   Cui HY, 2023, SUSTAIN PROD CONSUMP, V42, P74, DOI 10.1016/j.spc.2023.09.011
   Deng XZ, 2015, LAND USE POLICY, V45, P1, DOI 10.1016/j.landusepol.2015.01.007
   Dong F, 2021, J CLEAN PROD, V316, DOI 10.1016/j.jclepro.2021.128316
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Fan Y, 2006, ENVIRON IMPACT ASSES, V26, P377, DOI 10.1016/j.eiar.2005.11.007
   Feng YD, 2023, ENERG ECON, V124, DOI 10.1016/j.eneco.2023.106752
   Gao YP, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244024
   Goodman-Bacon A, 2021, J ECONOMETRICS, V225, P254, DOI 10.1016/j.jeconom.2021.03.014
   Guo Q, 2022, TECHNOL FORECAST SOC, V184, DOI 10.1016/j.techfore.2022.122003
   GUPTA MR, 1984, ECON LETT, V16, P177, DOI 10.1016/0165-1765(84)90160-5
   Hao Y, 2016, ECOL INDIC, V67, P533, DOI 10.1016/j.ecolind.2016.03.025
   He QS, 2023, COMPUT ENVIRON URBAN, V105, DOI 10.1016/j.compenvurbsys.2023.102023
   Henderson V, 2003, J ECON GROWTH, V8, P47, DOI 10.1023/A:1022860800744
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Hou SY, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e21086
   Hu WQ, 2021, SCI TOTAL ENVIRON, V766, DOI 10.1016/j.scitotenv.2020.142502
   Hu XH, 2019, URBAN STUD, V56, P3466, DOI 10.1177/0042098018817223
   Hundt C, 2020, GROWTH CHANGE, V51, P180, DOI 10.1111/grow.12356
   Kitsos A, 2018, ANN REGIONAL SCI, V60, P329, DOI 10.1007/s00168-016-0797-y
   Le TH, 2016, ENERG POLICY, V92, P45, DOI 10.1016/j.enpol.2016.01.030
   Li SS, 2023, LAND USE POLICY, V131, DOI 10.1016/j.landusepol.2023.106709
   Liddle B., 2023, The Energy, Economic Growth, Urbanization Nexus across Development: Evidence from Heterogeneous Panel Estimates Robust to Cross-Sectional Dependence
   Lin BQ, 2021, TECHNOL FORECAST SOC, V170, DOI 10.1016/j.techfore.2021.120886
   Lin SF, 2017, J CLEAN PROD, V166, P952, DOI 10.1016/j.jclepro.2017.08.107
   Lin SF, 2009, ENVIRON IMPACT ASSES, V29, P341, DOI 10.1016/j.eiar.2009.01.009
   Liu JM, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142214725
   Liu Q, 2015, J INT ECON, V97, P392, DOI 10.1016/j.jinteco.2015.07.003
   Liu YJ, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2023.e23772
   Ma LB, 2018, SUSTAIN CITIES SOC, V39, P78, DOI 10.1016/j.scs.2018.02.007
   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
   Nunn N, 2014, AM ECON REV, V104, P1630, DOI 10.1257/aer.104.6.1630
   Papaioannou SK, 2023, ECON MODEL, V128, DOI 10.1016/j.econmod.2023.106500
   Peng KJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032702
   Rizzi P, 2018, ANN REGIONAL SCI, V60, P285, DOI 10.1007/s00168-017-0854-1
   Sadorsky P, 2013, ENERG ECON, V37, P52, DOI 10.1016/j.eneco.2013.01.009
   Sensier M, 2024, REG STUD, V58, P1754, DOI 10.1080/00343404.2023.2234950
   Shang J, 2018, TECHNOL FORECAST SOC, V135, P266, DOI 10.1016/j.techfore.2018.04.029
   Shao J, 2023, ENERGY, V262, DOI 10.1016/j.energy.2022.125499
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Tao Y, 2019, CITIES, V94, P200, DOI 10.1016/j.cities.2019.06.014
   Turok I, 2013, ENVIRON URBAN, V25, P465, DOI 10.1177/0956247813490908
   Wang FP, 2023, RESOUR POLICY, V85, DOI 10.1016/j.resourpol.2023.103747
   Wang HP, 2023, HUM SOC SCI COMMUN, V10, DOI 10.1057/s41599-023-01783-y
   Wang JX, 2022, ECON ANAL POLICY, V73, P574, DOI 10.1016/j.eap.2021.12.006
   Wang L, 2023, ENVIRON TECHNOL INNO, V32, DOI 10.1016/j.eti.2023.103372
   Wang T, 2023, ENVIRON SCI POLLUT R, V30, P39618, DOI 10.1007/s11356-022-24915-4
   Wang XR, 2015, HABITAT INT, V47, P279, DOI 10.1016/j.habitatint.2015.02.001
   Wang Y, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103686
   Xiong YN, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14105889
   Xue LM, 2022, ENERGY STRATEG REV, V43, DOI 10.1016/j.esr.2022.100911
   Yang SW, 2023, ENVIRON SCI POLLUT R, V30, P20089, DOI 10.1007/s11356-022-23379-w
   Yang YY, 2019, RESOUR POLICY, V61, P261, DOI 10.1016/j.resourpol.2019.02.003
   Ye L, 2014, J URBAN AFF, V36, P354, DOI 10.1111/juaf.12105
   Yi HR, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103609
   Yu BB, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110239
   Zeng P, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-43376-4
   Zhang JN, 2021, SOCIO-ECON PLAN SCI, V76, DOI 10.1016/j.seps.2020.100959
   Zhang WJ, 2018, SUSTAIN CITIES SOC, V38, P70, DOI 10.1016/j.scs.2017.12.011
   Zhao YB, 2015, SUSTAINABILITY-BASEL, V7, P5609, DOI 10.3390/su7055609
   Zhao Y, 2023, J INNOV KNOWL, V8, DOI 10.1016/j.jik.2023.100318
   Zou YF, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0233555
NR 72
TC 1
Z9 1
U1 31
U2 34
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD SEP 15
PY 2024
VL 10
IS 17
DI 10.1016/j.heliyon.2024.e36605
EA SEP 2024
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA F2L6L
UT WOS:001308190700001
PM 39296071
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Li, GJ
   Kou, CH
   Wen, FH
AF Li, GuiJun
   Kou, ChenHuan
   Wen, FengHua
TI The dynamic development process of urban resilience: From the
   perspective of interaction and feedback
SO CITIES
LA English
DT Article
DE Urban resilience; Dynamic process; Interaction and feedback mechanism;
   System dynamics model; Sensitivity factor
ID CITY; NETWORK; PRINCIPLES; STRATEGIES; FRAMEWORK; MODELS; VENSIM;
   CITIES; INDEX
AB The urban system is gradually becoming a multi-level and multipolar network under the rapid development of information and communication technology. In the urban network, resources can flow orderly and realize optimal allocation, but the crisis also can spread and even exert an amplification effect. Focusing more on network resilience is essential for keeping the nexus safety. Thus, this paper develops a system dynamics model from multiple dimensions of urban resilience and uses a case study to illustrate its application. This model can reveal the dynamic development process of urban resilience and the interaction mechanism among different dimensions, which can help policymakers formulate classification policies and use them at the right time. The conclusions are as following: (i) This model is a widely applicable tool and its validity and application process are presented by the case study; (ii) Case study shows the development process of urban resilience is divided into three developing stages: rapid increase, slow increase, and rapid increase again; (ii) Case study shows that subnetwork resilience has different characters. For example, the resilience of material and energy network is the most fast-growing part before 2020, but the resilience of governance network begins to have a leading position since 2021, which will play the most vital role to support the improvement of urban resilience in the future. (iii) Case study shows that each sub-network resilience has its sensitivity factors, which should become policy concerns and can maximize the output under the same input.
C1 [Li, GuiJun; Kou, ChenHuan] Cent Univ Finance & Econ, Sch Management Sci & Engn, Beijing, Peoples R China.
   [Li, GuiJun; Kou, ChenHuan] Cent Univ Finance & Econ, Ctr Global Econ & Sustainable Dev CGESD, Beijing, Peoples R China.
   [Wen, FengHua] Cent Univ Finance & Econ, Sch Govt, Beijing, Peoples R China.
C3 Central University of Finance & Economics; Central University of Finance
   & Economics; Central University of Finance & Economics
RP Wen, FH (corresponding author), 39 South Coll Rd, Beijing 100081, Peoples R China.
EM wen_fh@163.com
RI Wen, Fenghua/ABD-5745-2021; Li, Guijun/AAZ-6202-2021
OI Kou, Chenhuan/0000-0003-1271-9138
FU Natural Science Foundation of China [71473285]; Heilongjiang Province
   Social Science Project [19GLC165]
FX We would like to express thanks to those who participated in this
   research and numerous people who shared comments, criticisms, and
   encouragement on this work. Particular thanks go to the editor and
   peerreviewers for their very helpful insights and feedback, as well as
   the Natural Science Foundation of China (71473285) and Heilongjiang
   Province Social Science Project (19GLC165) .
CR Adjetey-Bahun K., 2014, A Simulation-Based Approach to Quantifying Resilience Indicators in a Mass Transportation System
   Azadeh A, 2014, PROCESS SAF ENVIRON, V92, P231, DOI 10.1016/j.psep.2013.03.002
   Bell M., 2002, 5 PRINCIPLES ORG RES
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Birgani YT, 2018, WATER RESOUR MANAG, V32, P2817, DOI 10.1007/s11269-018-1960-2
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Camagni R., 1994, Flux, V10, P37, DOI [10.3406/flux.1994.975, DOI 10.3406/FLUX.1994.975]
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Castells M., 1989, INFORM CITY INF TECH
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Ciumasu IM, 2013, TECHNOL FORECAST SOC, V80, P1804, DOI 10.1016/j.techfore.2012.12.010
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   EBERLEIN RL, 1992, EUR J OPER RES, V59, P216, DOI 10.1016/0377-2217(92)90018-5
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Faturechi R, 2014, COMPUT OPER RES, V43, P335, DOI 10.1016/j.cor.2013.10.009
   Fiksel J, 2007, SUSTAINABILITY SCI P, V2, P14
   Forrester JW, 1987, SYST DYNAM REV, V3, P136, DOI 10.1002/sdr.4260030205
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gasper R, 2011, CURR OPIN ENV SUST, V3, P150, DOI 10.1016/j.cosust.2010.12.009
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Hoffman D. B., 2010, ISEE US C MAK CONN
   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
   Hu Z. G, 2014, ECON RES-EKON ISTRAZ, V9, P60
   Hudec O, 2018, CITIES, V73, P24, DOI 10.1016/j.cities.2017.10.004
   Iturriza M., 2018, DISAS MANAGE, V261
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jia R. A., 1998, SYSTEM ENG THEORY PR, V6, P18
   [贾晓菁 Jia Xiaojing], 2012, [系统工程理论与实践, Systems Engineering-Theory & Practice], V32, P2287
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Jones L, 2014, WILEY SER OPERAT RES, P215
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kuznecova T, 2014, 9TH INTERNATIONAL CONFERENCE ENVIRONMENTAL ENGINEERING (9TH ICEE) - SELECTED PAPERS, DOI 10.3846/enviro.2014.125
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li GJ, 2019, J ENVIRON MANAGE, V240, P451, DOI 10.1016/j.jenvman.2019.03.130
   Diaz-Sarachaga JM, 2019, J CLEAN PROD, V207, P971, DOI 10.1016/j.jclepro.2018.10.061
   Marsal-Llacuna ML, 2016, CITIES, V55, P127, DOI 10.1016/j.cities.2016.02.006
   McInroy N.e., 2010, Productive local economies: creating resilient places
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Neal Z, 2013, RES TRANSP BUS MANAG, V9, P5, DOI 10.1016/j.rtbm.2013.05.002
   Neal Z, 2011, URBAN STUD, V48, P2733, DOI 10.1177/0042098010388954
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Ramezankhani A, 2008, P 26 INT C SYST DYN
   Rapaport C, 2018, INT J DISAST RISK RE, V31, P470, DOI 10.1016/j.ijdrr.2018.05.020
   Resilience Alliance, 2007, URB RES RES PROSP
   Romero-Lankao P, 2011, CURR OPIN ENV SUST, V3, P113, DOI 10.1016/j.cosust.2011.02.002
   Schiehlen W., 2013, ADV MULTIBODY SYSTEM, V20
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Senge P.M., 1990, The Fifth Discipline: The Art and Practice of the Learning Organisation
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Spiegler VLM, 2012, INT J PROD RES, V50, P6162, DOI 10.1080/00207543.2012.710764
   Sterbenz JPG, 2010, COMPUT NETW, V54, P1245, DOI 10.1016/j.comnet.2010.03.005
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Taylor PJ, 2005, POLIT GEOGR, V24, P703, DOI 10.1016/j.polgeo.2005.01.009
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Wall RS, 2011, ECON GEOGR, V87, P267, DOI 10.1111/j.1944-8287.2011.01122.x
   Wears R. L., 2008, 3 SYN1 RES ENG
   Zhong, 2015, SYSTEM DYNAMICS
   [周小刚 Zhou Xiaogang], 2018, [系统工程理论与实践, Systems Engineering-Theory & Practice], V38, P2831
NR 62
TC 24
Z9 27
U1 18
U2 144
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 JUL
PY 2021
VL 114
AR 103206
DI 10.1016/j.cities.2021.103206
EA APR 2021
PG 20
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA SU8ZV
UT WOS:000663420800002
DA 2025-04-22
ER

PT J
AU Zhang, T
   Sun, YX
   Wang, R
   Yang, Y
   Yin, L
   Li, LG
   Zhang, BL
AF Zhang, Teng
   Sun, Yixuan
   Wang, Run
   Yang, Yong
   Yin, Le
   Li, Liangang
   Zhang, Baolei
TI A new framework for assessing and dealing with heat risk from an urban
   resilience perspective
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Adaptation - resistance - response; Urban resilience; Heat risk;
   Shenzhen
ID LAND-SURFACE TEMPERATURE; CLIMATE-CHANGE; ISLAND; VULNERABILITY; COVER
AB Cities are exposed to increasing environmental threats, having undergone extensive land development and rapid urbanization. Clarifying the effects of urban resilience to risk can provide effective guidance for mitigating heat risk. To our knowledge; however, quantifying these effects from an urban resilience perspective has not been considered in previous studies. Here, we proposed the adaptation-resistance-response heat-related urban resilience assessment system. The system is integrated with the minimum cumulative resistance model to construct a novel heat risk assessment framework. A case study in Shenzhen, China, showed that resilience to heat had a high degree of spatial heterogeneity. More than half of the study area was at a moderate or high level of risk. Our study provided new insights into the differences in heat risk between urban and rural areas. The heat-risk gap between urban and rural areas was lower than that indicated by surface temperatures, due to the diffusion and attenuation of high temperatures. In addition, we discussed the application of resilience to risk governance and emphasize five governance models for risk zoning. The proposed framework facilitated a better understanding of the effect of resilience on risk mitigation, and our results can be used to guide urban planning and risk management.
C1 [Zhang, Teng; Yin, Le; Li, Liangang; Zhang, Baolei] Shandong Normal Univ, Coll Geog & Environm, Jinan 250014, Peoples R China.
   [Sun, Yixuan] Shandong Womens Univ, Sch Tourism, Jinan 250300, Peoples R China.
   [Wang, Run; Yang, Yong] Shandong Prov Terr Spatial Ecol Restorat Ctr, Jinan, Peoples R China.
C3 Shandong Normal University; Shandong Womens University
RP Zhang, BL (corresponding author), Shandong Normal Univ, Coll Geog & Environm, Jinan 250014, Peoples R China.
EM tengz777@163.com; yixuansun26@163.com; yinle@sdnu.edu;
   llg911208@163.com; blzhangsd@163.com
FU Shandong Provincial Natural Science Foundation, China [ZR2021ME203,
   ZR2021QD127]; National Natural Science Foundation of China [42201308,
   42101161]; Shandong Province Undergraduate Teaching Reform Project
   [Z20220004]; Jinan City-School Integration Project [JNSX2023036]
FX This research was supported by the Shandong Provincial Natural Science
   Foundation, China [ZR2021ME203, ZR2021QD127] , National Natural Science
   Foundation of China [42201308, 42101161] , Shandong Province
   Undergraduate Teaching Reform Project [Z20220004] , Jinan City-School
   Integration Project [JNSX2023036] . The authors would like to gratefully
   acknowledge the anonymous reviewers and the members of the editorial
   team who helped to improve this paper through their thorough review.
CR Abarghuie FA, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104022
   Aguilar-Barajas I, 2019, ENVIRON SCI POLICY, V99, P37, DOI 10.1016/j.envsci.2019.05.021
   Algretawee H, 2019, ECOL ENG, V138, P374, DOI 10.1016/j.ecoleng.2019.07.034
   Allen L, 2011, INT J CLIMATOL, V31, P1990, DOI 10.1002/joc.2210
   Angeler DG, 2016, J APPL ECOL, V53, P617, DOI 10.1111/1365-2664.12649
   [Anonymous], 2022, China City Statistical Yearbook
   [Anonymous], 2021, Shenzhen climate Bulletin
   [Anonymous], 2022, Guangdong Statistical Yearbook
   Carvalho D, 2017, URBAN CLIM, V19, P1, DOI 10.1016/j.uclim.2016.11.005
   Champlin C, 2023, CITIES, V135, DOI 10.1016/j.cities.2023.104220
   Chaudhuri G, 2016, APPL GEOGR, V68, P68, DOI 10.1016/j.apgeog.2016.01.002
   Chen B, 2021, SCI TOTAL ENVIRON, V768, DOI 10.1016/j.scitotenv.2021.145052
   [陈利顶 CHEN LiDing], 2006, [生态学报, Acta Ecologica Sinica], V26, P1444
   Cheng G, 2016, HABITAT INT, V53, P485, DOI 10.1016/j.habitatint.2015.12.023
   Cheng T, 2023, J CLEAN PROD, V429, DOI 10.1016/j.jclepro.2023.139596
   Dong JQ, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103907
   Estoque RC, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15218-8
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   Feng ML, 2022, SCI TOTAL ENVIRON, V805, DOI 10.1016/j.scitotenv.2021.150248
   Gong HN, 2024, B AM METEOROL SOC, V105, pE193, DOI 10.1175/BAMS-D-23-0175.1
   Gong P, 2020, SCI BULL, V65, P182, DOI 10.1016/j.scib.2019.12.007
   Han SJ, 2023, BUILD ENVIRON, V228, DOI 10.1016/j.buildenv.2022.109913
   Hatvani-Kovacs G, 2016, SUSTAIN CITIES SOC, V26, P278, DOI 10.1016/j.scs.2016.06.019
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu S, 2020, ENERG BUILDINGS, V214, DOI 10.1016/j.enbuild.2020.109885
   Huang GY, 2024, J BUILD ENG, V96, DOI 10.1016/j.jobe.2024.110445
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Johnson DP, 2012, APPL GEOGR, V35, P23, DOI 10.1016/j.apgeog.2012.04.006
   Jung MC, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126930
   Krstic N, 2017, ENVIRON INT, V109, P42, DOI 10.1016/j.envint.2017.09.011
   Landreau A, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03148-3
   Lehnert M, 2023, LANDSCAPE URBAN PLAN, V233, DOI 10.1016/j.landurbplan.2023.104713
   Li DZ, 2021, RENEW SUST ENERG REV, V144, DOI 10.1016/j.rser.2021.110953
   Liu JC, 2023, FORESTS, V14, DOI 10.3390/f14071500
   Liu ZX, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103271
   Liu ZZ, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131350
   Lizarralde G, 2015, DISASTERS, V39, pS76, DOI 10.1111/disa.12109
   Mabon L, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102248
   Mabon L, 2019, CITIES, V93, P273, DOI 10.1016/j.cities.2019.05.007
   Mabon L, 2019, LANDSCAPE URBAN PLAN, V187, P105, DOI 10.1016/j.landurbplan.2019.03.013
   Macias M, 2022, J CLEAN PROD, V377, DOI 10.1016/j.jclepro.2022.134463
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Oppenheimer M., 2015, Emergent Risks and Key Vulnerabilities, Climate Change 2014 Impacts, Adaptation and Vulnerability: Part a: Global and Sectoral Aspects, P1039
   Ortega M, 2020, APPL GEOGR, V117, DOI 10.1016/j.apgeog.2020.102171
   Pascal M, 2018, ENVIRON INT, V121, P189, DOI 10.1016/j.envint.2018.08.049
   Peng J, 2021, REMOTE SENS ENVIRON, V252, DOI 10.1016/j.rse.2020.112135
   Peng J, 2018, REMOTE SENS ENVIRON, V215, P255, DOI 10.1016/j.rse.2018.06.010
   Peres LD, 2018, INT J APPL EARTH OBS, V64, P104, DOI 10.1016/j.jag.2017.08.012
   Qiao Z, 2024, J CLEAN PROD, V474, DOI 10.1016/j.jclepro.2024.143626
   Rai M, 2023, ENVIRON INT, V174, DOI 10.1016/j.envint.2023.107825
   Rao YX, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105314
   Räsänen A, 2019, REG ENVIRON CHANGE, V19, P1481, DOI 10.1007/s10113-019-01491-x
   Rod B, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000795
   Rodriguez RS, 2018, NAT CLIM CHANGE, V8, P181, DOI 10.1038/s41558-018-0098-9
   Seong K, 2024, SUSTAIN CITIES SOC, V111, DOI 10.1016/j.scs.2024.105562
   Sha SY, 2024, URBAN FOR URBAN GREE, V94, DOI 10.1016/j.ufug.2024.128267
   Shan LP, 2017, HABITAT INT, V59, P90, DOI 10.1016/j.habitatint.2016.11.009
   Soto-Montes-de-Oca G, 2023, CITIES, V143, DOI 10.1016/j.cities.2023.104571
   Tran DX, 2017, ISPRS J PHOTOGRAMM, V124, P119, DOI 10.1016/j.isprsjprs.2017.01.001
   Uddin MS, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110457
   Wang RX, 2024, CITIES, V144, DOI 10.1016/j.cities.2023.104636
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wardeh Y, 2022, BUILD ENVIRON, V223, DOI 10.1016/j.buildenv.2022.109482
   Wei H, 2023, INT J APPL EARTH OBS, V120, DOI 10.1016/j.jag.2023.103334
   Xie SH, 2024, J CLEAN PROD, V434, DOI 10.1016/j.jclepro.2023.140123
   Xing Y, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.109304
   [修春亮 Xiu Chunliang], 2018, [地理学报, Acta Geographica Sinica], V73, P2315
   Yenneti K, 2016, HABITAT INT, V56, P124, DOI 10.1016/j.habitatint.2016.05.001
   Yi TY, 2022, SCI TOTAL ENVIRON, V853, DOI 10.1016/j.scitotenv.2022.158283
   Yu KJ, 1996, LANDSCAPE URBAN PLAN, V36, P1, DOI 10.1016/S0169-2046(96)00331-3
   Yu SY, 2023, HABITAT INT, V136, DOI 10.1016/j.habitatint.2023.102783
   Yu ZW, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126630
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
   Zhang D, 2015, IEEE ANN INT CONF CY, P223, DOI 10.1109/CYBER.2015.7287939
   Zhang L, 2020, HABITAT INT, V96, DOI 10.1016/j.habitatint.2020.102118
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
NR 77
TC 5
Z9 5
U1 60
U2 60
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD NOV 10
PY 2024
VL 479
AR 144008
DI 10.1016/j.jclepro.2024.144008
EA OCT 2024
PG 14
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA K8M7M
UT WOS:001346387500001
DA 2025-04-22
ER

PT J
AU Moayedfar, S
   Mohebbi, H
   Pour, NM
   Sharifi, A
AF Moayedfar, Saeedeh
   Mohebbi, Hossein
   Pour, Najmeh Mozaffaree
   Sharifi, Ayyoob
TI Developing a localized resilience assessment framework for historical
   districts: A case study of Yazd, Iran
SO PLOS ONE
LA English
DT Article
ID FUZZY DEMATEL METHOD; URBAN RESILIENCE; COMMUNITY RESILIENCE; SHIFT
   WORK; RECONSTRUCTION; VULNERABILITY; VIKOR
AB Growing natural and man-made disasters necessitate enhanced resilience in urban historical districts, vital for cultural heritage and tourism. This study aims to develop a localized assessment framework tailored to the unique characteristics of Yazd, Iran, a UNESCO World Heritage site known for its ancient architecture and cultural significance. By adapting and downscaling indicators from established DROP and BRIC models, we evaluated resilience across seven key dimensions and 17 criteria. Using advanced multi-criteria decision-making methods, including Delphi, Fuzzy DEMATEL, Fuzzy ANP, and VIKOR, we prioritized and ranked the historical districts based on their resilience scores. The results revealed that the social dimension and housing infrastructure are the most crucial factors for resilience. Environmental and institutional dimensions, while important, were found to be less critical in comparison. The VIKOR analysis identified specific districts with lower adaptability, requiring targeted interventions. These findings provide valuable information for policymakers and urban planners, offering a robust framework for enhancing urban historical district resilience. This study provides a context-specific approach to resilience assessment, emphasizing the need for tailored strategies to preserve and strengthen the resilience of culturally significant urban areas.
C1 [Moayedfar, Saeedeh] Meybod Univ, Fac Human Sci, Dept Geog, Meybod, Iran.
   [Mohebbi, Hossein] Meybod Univ, Fac Human Sci, Dept Management, Meybod, Iran.
   [Pour, Najmeh Mozaffaree] Tallinn Univ Technol, Acad Architecture & Urban Studies, Tallinn, Estonia.
   [Sharifi, Ayyoob] Hiroshima Univ, IDEC Inst, Higashihiroshima, Hiroshima, Japan.
   [Sharifi, Ayyoob] Network Educ & Res Peace & Sustainabil NERPS, Higashihiroshima, Hiroshima, Japan.
C3 Tallinn University of Technology; Hiroshima University
RP Moayedfar, S (corresponding author), Meybod Univ, Fac Human Sci, Dept Geog, Meybod, Iran.
EM moayedfar@meybod.ac.ir
RI moayedfar, saeedeh/ABG-3422-2021; Sharifi, Ayyoob/M-7584-2013;
   Mozaffaree Pour, Najmeh/AAG-1711-2019
CR Abdolah B., 2020, Geogr (Reg Plan), V10, P1125
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ainuddin S, 2012, INT J DISAST RISK RE, V2, P25, DOI 10.1016/j.ijdrr.2012.07.003
   Aliabadi SF, 2015, ARAB J GEOSCI, V8, P10775, DOI 10.1007/s12517-015-1939-8
   Atrachali M, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101231
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Bozdag HT, 2022, HERIT SCI, V10, DOI 10.1186/s40494-022-00792-5
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Brunelli M, 2018, INT J GEN SYST, V47, P751, DOI 10.1080/03081079.2018.1523156
   Burton CG, 2012, DEV METRICS COMMUNIT
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chang B, 2011, EXPERT SYST APPL, V38, P1850, DOI 10.1016/j.eswa.2010.07.114
   Chang SL, 2007, EUR J OPER RES, V177, P1013, DOI 10.1016/j.ejor.2006.01.032
   Chatzoglou A., 2011, Historic Environment, V23, P2
   Cheng SK, 2001, Development of a fuzzy multi-criteria decision support system for municipal solid waste management
   Chiu WY, 2013, KNOWL-BASED SYST, V37, P48, DOI 10.1016/j.knosys.2012.06.017
   Cutter SL, 2020, ENVIRON HAZARDS-UK, V19, P10, DOI 10.1080/17477891.2018.1511405
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2013, ENVIRONMENT, V55, P25, DOI 10.1080/00139157.2013.768076
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Davis I, 2006, OPEN HOUSE INT, V31, P11
   Deng QW, 2015, SUSTAINABILITY-BASEL, V7, P15527, DOI 10.3390/su71115527
   Derakhshan S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116927
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Dhawale AS., 2018, Int J Eng Res, V7, P263, DOI [10.5958/2319-6890.2018.00073.9, DOI 10.5958/2319-6890.2018.00073.9]
   Elena C, 2017, ENRGY PROCED, V111, P436, DOI 10.1016/j.egypro.2017.03.204
   ElSerafi T., 2018, Int J Urban Civ Eng, V12, P729, DOI [scholar.waset.org/1307-6892/10009254, DOI 10.1016/J.FOAR.2020.07.005]
   Eskandari D, 2021, J LOSS PREVENT PROC, V69, DOI 10.1016/j.jlp.2020.104342
   Esmailpoor N., 2018, J Sustain Arch Urban Design, V6, P89
   Esquirol Y, 2009, CHRONOBIOL INT, V26, P544, DOI 10.1080/07420520902821176
   Etikan I., 2016, Biom. Biostat. Int. J, V1, P7, DOI [10.15406/bbij.2016.03.00055, DOI 10.15406/BBIJ.2016.03.00055]
   Fanni Z., 2022, Urban Tour, V9, P107, DOI [10.22059/jut.2021.326079.922, DOI 10.22059/JUT.2021.326079.922]
   Ghahremani H., 2018, Armanshahr Arch Urban Dev J, V11, P51
   Giannakis E, 2020, REG STUD, V54, P1200, DOI 10.1080/00343404.2019.1698720
   Guo Y, 2012, INT J DISAST RISK SC, V3, P45, DOI 10.1007/s13753-012-0006-2
   Hatami A., 2022, Econ Geogr Res, V3, P39
   Heinzlef C., 2020, Water Security, V11, P100075, DOI [10.1016/j.wasec.2020.100075, DOI 10.1016/J.WASEC.2020.100075]
   Heydari M, 2010, RAIRO-OPER RES, V44, P139, DOI 10.1051/ro/2010011
   Hou JD, 2016, NAT HAZARDS, V84, pS97, DOI 10.1007/s11069-015-1931-3
   Hsu C., 2010, Delphi technique. encyclopedia of research design. Ed
   Javadpoor M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102609
   Karaseitanidis I., 2022, EGU GEN ASS C, DOI [10.5194/egusphere-egu22-13075, DOI 10.5194/EGUSPHERE-EGU22-13075]
   Khalil Mohamed Ali Mohamed, 2019, WIT Transactions on the Built Environment, V188, P203, DOI 10.2495/CC190181
   Kuo SF, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0211451
   Latifi A., 2021, J Geogr Environ Hazard, V10, P161
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li Y, 2023, SOC WORK PUBLIC HLTH, V38, P110, DOI 10.1080/19371918.2022.2097147
   Liu WY, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105109
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Lukito YN., 2017, IOP Conf Ser: Earth Environ Sci, V99, P012030, DOI [10.1088/1755-1315/99/1/012030, DOI 10.1088/1755-1315/99/1/012030]
   Mavhura E, 2013, INT J DISAST RISK RE, V5, P38, DOI 10.1016/j.ijdrr.2013.07.001
   Mayunga J.S., 2007, SUMMER ACAD SOCIAL V, V1, P1, DOI DOI 10.1146/ANNUREV.ENERGY.32.051807.090348
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Moaddab R., 2022, A holistic approach for evaluating the contribution of system performance on resilience against earthquake in historic-commercial urban fabrics, DOI [10.21203/rs.3.rs-1396363/v1s, DOI 10.21203/RS.3.RS-1396363/V1S]
   Moayedfar Saeedeh, 2021, GeoJournal of Tourism and Geosites, V35, P428, DOI 10.30892/gtg.35222-669
   Moghadas M, 2023, GEOJOURNAL, V88, P4215, DOI 10.1007/s10708-023-10858-x
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Moradpour N, 2023, INT J DISASTER RESIL, V14, P154, DOI 10.1108/IJDRBE-01-2022-0001
   Morrow Betty., 2008, COMMUNITY RESILIENCE, DOI [DOI 10.13140/RG.2.1.1278.9604, 10.13140/RG.2.1.1278.9604]
   Muhammad MN, 2017, PROCEDIA COMPUT SCI, V120, P742, DOI 10.1016/j.procs.2017.11.304
   Nguyen HL, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197896
   Pazhuhan M, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104563
   Périnaud C, 2015, 2015 DIGITAL HERITAGE INTERNATIONAL CONGRESS, VOL 2: ANALYSIS & INTERPRETATION THEORY, METHODOLOGIES, PRESERVATION & STANDARDS DIGITAL HERITAGE PROJECTS & APPLICATIONS, P73, DOI 10.1109/DigitalHeritage.2015.7419455
   Pourahmad A., 2022, J Geogr, V20, DOI DOR:20.1001.1.27833739.1401.20.72.3.9
   Qin WM, 2017, NAT HAZARDS, V89, P331, DOI 10.1007/s11069-017-2967-3
   Qiyasi Fard N., 2023, J Entrep Dev, V16, P61, DOI [10.22059/jed.2023.348813.654053, DOI 10.22059/JED.2023.348813.654053]
   Rafieian M., 2011, J Spat Plan, V15, P19
   Renschler CS., 2010, A framework for defining and measuring resilience at the community scale: The PEOPLES resilience framework
   Ronan KevinR., 2005, PROMOTING COMMUNITY, DOI DOI 10.1007/B102725
   Rose A, 2013, INT J DISAST RISK RE, V5, P73, DOI 10.1016/j.ijdrr.2013.08.003
   Rouyandozagh YD, 2018, Sustaining the social memory in a historic neighborhood: the case study of Uch Dukkan Neighborhood in Ardabil City in Azerbaijani Region of Iran
   Scherzer S, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101107
   Sharif Zadegan MH., 2020, Sofeh J, V30, P91, DOI [10.29252/soffeh.30.2.91, DOI 10.29252/SOFFEH.30.2.91]
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Shi T, 2021, GROWTH CHANGE, V52, P2364, DOI 10.1111/grow.12554
   Simkus J., 2023, Cross-sectional study: definition, designs & examples
   Tapsuwan S, 2018, SUSTAIN CITIES SOC, V37, P133, DOI 10.1016/j.scs.2017.10.034
   Tariq H, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102358
   Tierney K., 2009, Disaster Response: Research Findings and their Implications for Resilience Measures
   Timmerman Peter., 1981, Vulnerability, Resilience and the Collapse of Society
   Tobin G.A., 1999, Environmental Hazards, V1, P13, DOI [DOI 10.1016/S1464-2867(99)00002-9, 10.3763/ehaz.1999.0103]
   Tumini I, 2017, NAT HAZARDS, V85, P1363, DOI 10.1007/s11069-016-2630-4
   Vaidya OS, 2006, EUR J OPER RES, V169, P1, DOI 10.1016/j.ejor.2004.04.028
   Wardekker J., 2018, Solutions, V9
   Wu X, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102354
   ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X
   Zare Sajad, 2018, Journal of Circadian Rhythms, V16, P10, DOI 10.5334/jcr.163
   Zheng C., 2017, Redesigning historic districts: a study of preservation plans for historic districts of Jingzhou Ancient City in Hubei, China
   Zhong M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041521
NR 90
TC 0
Z9 0
U1 3
U2 3
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 FEB 24
PY 2025
VL 20
IS 2
AR e0317088
DI 10.1371/journal.pone.0317088
PG 24
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA Y5G7E
UT WOS:001432410800033
PM 39992970
OA gold
DA 2025-04-22
ER

PT J
AU Zhu, SY
   Feng, HB
   Arashpour, M
   Zhang, F
AF Zhu, Shiyao
   Feng, Haibo
   Arashpour, Mehrdad
   Zhang, Fan
TI Enhancing urban flood resilience: A coupling coordinated evaluation and
   geographical factor analysis under SES-PSR framework
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban flood resilience; Coupling coordination analysis;
   Pressure-state-response model; Social-ecological system framework
ID RISK-ASSESSMENT; SUSTAINABILITY; RAINFALL; TRENDS
AB Urban flooding has emerged as a significant urban issue in cities worldwide, with China being particularly affected. To effectively manage and mitigate urban floods, a holistic examination of the interaction between urban subsystems is required to improve urban flood resilience. However, the interactions and mechanisms between urban subsystems under flood disaster haven't been addressed adequately in previous studies. Therefore, this paper established a conceptual framework for illustrating the interactions between urban natural -ecological and social -economic subsystem considering urban pressure, state, and response within flood cycle. The objective is to investigate the coupling coordination degree (CCD) between these subsystems and identify the driving factors with a geographical detector model, and the cities in Yangtze River Delta are selected as an empirical example. The findings reveal an overall upward trend towards coordination for the whole area with notable variability among the cities. The resilience of the state dimension emerges as a crucial aspect in determining the CCD of the urban flood resilience of the area. Key driving factors for the coordinated development of urban flood resilience are identified as air pollution, global warming, technological innovation, governance power, financial strength, and urbanization. Based on the findings and the interactions among the driving factors, this paper presents potential implications that can serve as effective guidance and offer insights for policymakers, planners, and researchers in their efforts to enhance urban flood resilience for sustainable development in the future.
C1 [Zhu, Shiyao] Nantong Univ, Sch Transportat & Civil Engn, Nantong 226001, Jiangsu, Peoples R China.
   [Zhu, Shiyao; Feng, Haibo] Univ British Columbia, Dept Wood Sci, Vancouver, BC V6T 1Z4, Canada.
   [Arashpour, Mehrdad] Monash Univ, Dept Civil Engn, Monash, Vic 3800, Australia.
   [Zhang, Fan] Hong Kong Polytech Univ, Dept Bldg & Real Estate, ZN718, Hong Kong, Peoples R China.
C3 Nantong University; University of British Columbia; Monash University;
   Hong Kong Polytechnic University
RP Feng, HB (corresponding author), Univ British Columbia, Dept Wood Sci, Vancouver, BC V6T 1Z4, Canada.
EM haibo.feng@ubc.ca
RI ZHU, SHIYAO/GZB-0532-2022; Arashpour, Mehrdad/GXW-0980-2022; Zhang,
   Fan/ITT-8451-2023
OI Zhu, Shiyao/0000-0002-3738-2001; Feng, Haibo/0000-0002-3048-7169;
   Arashpour, Mehrdad/0000-0003-4148-3160; Zhang, Fan/0000-0003-4340-5967
FU National Natural Science Foundation of China [72204127]
FX The authors gratefully acknowledge the funding and support provided by
   the National Natural Science Foundation of China (Grant number:
   72204127) .
CR Acosta C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020366
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Andersson E, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-020-00008-4
   Arfaoui N, 2022, ECOL ECON, V197, DOI 10.1016/j.ecolecon.2022.107414
   Ayers G., 2015, Clean Air Environ. Qual., V39, P51
   Bera M. K., 2023, Natural Hazards Research, DOI [10.1016/j.nhres.2023.06.004, DOI 10.1016/J.NHRES.2023.06.004]
   Berry B. J., 1964, Papers in Regional Science, V13, P146, DOI [10.1111/j.1435-5597.1964.tb01283.x, DOI 10.1111/J.1435-5597.1964.TB01283.X]
   Bhagavathula S, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102408
   Bigg EK, 2008, ENVIRON CHEM, V5, P184, DOI 10.1071/EN07086
   Birchall SJ, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101062
   Cao H, 2023, Front Bus Econ Manage, V9, P343, DOI [10.54097/fbem.v9i1.8777, DOI 10.54097/FBEM.V9I1.8777]
   Cao WT, 2022, SCI TOTAL ENVIRON, V817, DOI 10.1016/j.scitotenv.2022.153012
   Chan FKS, 2023, NAT HAZARDS, V118, P1767, DOI 10.1007/s11069-023-06102-x
   Chen P, 2022, ENVIRON IMPACT ASSES, V93, DOI 10.1016/j.eiar.2021.106734
   Chen YL, 2022, CHEMOSPHERE, V302, DOI 10.1016/j.chemosphere.2022.134843
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Ding M, 2022, SCI TOTAL ENVIRON, V828, DOI 10.1016/j.scitotenv.2022.154041
   Dong F, 2022, J ENVIRON MANAGE, V316, DOI 10.1016/j.jenvman.2022.115252
   Frank B., 2017, Sociology International Journal, V1, P1, DOI DOI 10.15406/SIJ.2017.01.00001
   Fu L, 2022, J CULT HERIT, V58, P1, DOI 10.1016/j.culher.2022.09.017
   Goyal HR, 2021, MATER TODAY-PROC, V46, P10411, DOI 10.1016/j.matpr.2020.12.947
   Gurney KR, 2022, GLOBAL ENVIRON CHANG, V73, DOI 10.1016/j.gloenvcha.2022.102478
   Han J, 2023, ENVIRON CHEM LETT, V21, P1297, DOI 10.1007/s10311-022-01559-x
   Herath SM, 2018, J HYDROL, V556, P1171, DOI 10.1016/j.jhydrol.2017.01.060
   Herzog L, 2022, ECOL SOC, V27, DOI 10.5751/ES-13268-270307
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Jaboyedoff P, 2019, J PHYS CONF SER, V1343, DOI 10.1088/1742-6596/1343/1/012185
   Javadpoor M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102609
   Jia HC, 2022, INT J DISAST RISK RE, V68, DOI 10.1016/j.ijdrr.2021.102724
   Kumar MS, 2022, WATER POLICY, V24, P1247, DOI 10.2166/wp.2022.291
   Li HH, 2020, HABITAT INT, V101, DOI 10.1016/j.habitatint.2020.102198
   Li TB, 2021, J TRANSP GEOGR, V93, DOI 10.1016/j.jtrangeo.2021.103072
   Liang C., 2022, NYU GPH Journal of Public Health Disasters, P1
   Liang L, 2022, ECOL INDIC, V135, DOI 10.1016/j.ecolind.2022.108555
   Liao XL, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102976
   Lin YZ, 2022, ECOL INDIC, V142, DOI 10.1016/j.ecolind.2022.109194
   Liu Y, 2022, J CLEAN PROD, V375, DOI 10.1016/j.jclepro.2022.134191
   Lu PJ, 2023, RIVER RES APPL, V39, P1425, DOI 10.1002/rra.3913
   Ma SF, 2023, ECOL INDIC, V149, DOI 10.1016/j.ecolind.2023.110178
   McGinnis MD, 2014, ECOL SOC, V19, DOI 10.5751/ES-06387-190230
   McPhearson T, 2016, ECOL INDIC, V70, P566, DOI 10.1016/j.ecolind.2016.03.054
   Meng J, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-39449-7
   Miller E. J., 2004, Computers, Environment and Urban Systems, V28, P9, DOI 10.1016/S0198-9715(02)00044-3
   Ministry of Emergency Management of the People's Republic of China, 2022, The Ministry of Emergency Management has released a seismic intensity map for the Sichuan Luding M6.8 earthquake
   MORAN PAP, 1948, J ROY STAT SOC B, V10, P243
   Mu DR, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12668
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Partelow S, 2018, ECOL SOC, V23, DOI [10.5751/ES-10594-230436, 10.5751/es-10594-230436]
   Partelow S, 2016, SUSTAIN SCI, V11, P399, DOI 10.1007/s11625-015-0351-3
   Peng KJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032702
   Poku-Boansi M, 2020, CITY ENVIRON INTERAC, V5, DOI 10.1016/j.cacint.2020.100038
   Pruksapong M., 2020, Launch of Making Cities Resilient 2030 (MCR2030)
   Qiao R, 2021, WATER-SUI, V13, DOI 10.3390/w13030376
   Ren F, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103183
   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
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Senyapar H.N.D., 2023, J. Energy Syst., V7, P132
   Shehzad K, 2023, SCI TOTAL ENVIRON, V880, DOI 10.1016/j.scitotenv.2023.162973
   Shen LY, 2018, ECOL INDIC, V94, P357, DOI 10.1016/j.ecolind.2018.06.068
   Shi CC, 2022, J CLEAN PROD, V372, DOI 10.1016/j.jclepro.2022.133737
   Staff R., 2016, Reuters
   Sun TS, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102617
   Sun XJ, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102563
   Sun XM, 2022, J CLIMATE, V35, P6119, DOI 10.1175/JCLI-D-22-0142.1
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   UNFCCC, Climate Change Leads to More Extreme Weather, but Early Warnings Save Lives, 2021 United Nations Climate Change
   United Nations, 2015, TRANSF OUR WORLD 203, P1
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   Wang HY, 2021, ECOL INDIC, V123, DOI 10.1016/j.ecolind.2021.107339
   Wang JF, 2010, INT J GEOGR INF SCI, V24, P107, DOI 10.1080/13658810802443457
   Wang YF, 2023, J CLEAN PROD, V405, DOI 10.1016/j.jclepro.2023.137049
   Wolfram M, 2016, CURR OPIN ENV SUST, V22, P18, DOI 10.1016/j.cosust.2017.01.014
   Xi J., 2022, HOLD HIGH GREAT BANN
   Xiao S, 2023, SCI TOTAL ENVIRON, V866, DOI 10.1016/j.scitotenv.2022.161321
   Xiong YN, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14105889
   Xu T, 2023, WATER SCI TECHNOL, V87, P2820, DOI 10.2166/wst.2023.149
   You XT, 2022, NAT HAZARDS, V113, P1751, DOI 10.1007/s11069-022-05368-x
   Zabihi O, 2023, INT J DISAST RISK RE, V84, DOI 10.1016/j.ijdrr.2022.103470
   Zhang Y, 2023, ECOL INDIC, V150, DOI 10.1016/j.ecolind.2023.110230
   Zhao R, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102106
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   Zhou XY, 2017, INT J CLIMATOL, V37, P4586, DOI 10.1002/joc.5107
   Zhu LJ, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106545
   Zhu S., 2019, A Comprehensive Evaluation for Disaster Resilience of Smart Cities in China, P733, DOI [10.1061/9780784482308.085, DOI 10.1061/9780784482308.085]
   Zhu SY, 2023, LAND-BASEL, V12, DOI 10.3390/land12061200
   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
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 91
TC 14
Z9 14
U1 103
U2 198
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 104243
DI 10.1016/j.ijdrr.2024.104243
EA JAN 2024
PG 20
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA GS9H2
UT WOS:001154773800001
OA hybrid
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Liu, YF
   Li, XC
   Yang, W
   Xu, R
   Qi, Y
AF Liu, Yifan
   Li, Xunchang
   Yang, Wei
   Xu, Rui
   Qi, Yuang
TI Evaluation Model of Urban Resilience in the Face of Public Health
   Emergencies: A Case Study of Xi'an
SO SUSTAINABILITY
LA English
DT Article
DE public health emergency; resilience; urban system; infectious disease
   dynamics model
AB In recent years, there have been frequent outbreaks of public health emergencies worldwide, especially resulting from the COVID-19 pandemic, which has seriously affected social and economic development and people's production and life. In order to avoid or minimize the harm caused by these emergencies to society and the public, this article constructs a resilience indicator system for urban emergency response capabilities based on resistance, adaptation, and recovery. We establish a dynamic model of urban emergency response resilience, select the infectious disease dynamics method as the index weight calculation method, analyze the correlations among various indicators and parameters of the urban emergency response resilience system, and conduct sensitivity analysis on the model parameters to determine the importance sequence of each model parameter. Combined with the fuzzy hierarchy analysis method, we evaluate the model and use the 2021 year-end epidemic in Xi'an as an example to evaluate the urban emergency response resilience level using the evaluation model. According to the maximum membership degree principle, the results show that the emergency resilience levels of Xi'an were "moderately strong", "moderately strong", and "strong" in the first, second, and third stages of the epidemic, respectively. The results demonstrate that the method proposed in this article can objectively reflect the current level of urban emergency resilience and provide some references and guidance for improving the resilience of urban emergency response to public health emergencies.
C1 [Liu, Yifan; Li, Xunchang; Yang, Wei; Xu, Rui; Qi, Yuang] Changan Univ, Sch Geol Engn & Geomat, Dept Safety Engn, Xian 710064, Peoples R China.
C3 Chang'an University
RP Li, XC (corresponding author), Changan Univ, Sch Geol Engn & Geomat, Dept Safety Engn, Xian 710064, Peoples R China.
EM 2020126133@chd.edu.cn; dcdgx12@chd.edu.cn; yw2014@chd.edu.cn;
   firewoodxu@chd.edu.cn; 2022226151@chd.edu.cn
RI Xu, Rui/AAD-7507-2020; yang, wei/IVV-8230-2023
OI Xu, Rui/0000-0001-5380-0472
FU Natural Science Basic Research Program of Shaanxi [2022JM-280]
FX This research was funded by Natural Science Basic Research Program of
   Shaanxi (Program No. 2022JM-280).
CR [Anonymous], 2009, FEMA HIST
   Bozza A, 2017, COMPUT-AIDED CIV INF, V32, P527, DOI 10.1111/mice.12275
   Chen N, 2023, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.1033441
   Cheng Z., 2021, IMPROVED SEIR MODEL
   Chu S., 2022, P 2022 2 INT C MAN S
   europa, 2009, European Union Assessment Report on the EU-Wide Response to Pandemic (H1N1)
   Feng CC, 2021, J DISASTER RES, V16, P48
   Fogli D, 2013, DECIS SUPPORT SYST, V55, P336, DOI 10.1016/j.dss.2013.01.022
   [耿辉 Geng Hui], 2020, [暨南大学学报. 自然科学与医学版, Journal of Jinan University. Natural Science & Medicine Edition], V41, P175
   Jiang Y., 2018, STUDY EVALUATION SYS
   Kermack WO, 1927, P R SOC LOND A-CONTA, V115, P700, DOI 10.1098/rspa.1927.0118
   Leon J. C. V. de, 2006, Entwicklung + Landlicher Raum, V40, P23
   Li G., 2018, J SHANDONG U SCI TEC, V20, P83
   Li JK, 2023, ENVIRON SCI POLLUT R, V30, P62051, DOI 10.1007/s11356-023-26357-y
   Li T.Y., 2017, Urban Plan. Int, V32, P15, DOI [10.22217/upi.2015.284, DOI 10.22217/UPI.2015.284]
   Li X., 2023, J GANSU SCI, V35, P115
   Lu F., 2014, OPEN CYBERN SYST J, V8, P1158, DOI [10.2174/1874110X01408011158, DOI 10.2174/1874110X01408011158]
   Mastroleo I, 2020, AM J BIOETHICS, V20, P41, DOI 10.1080/15265161.2020.1795539
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   pandemicflu, National Inventory of Core Capabilities for Pandemic Influenza Preparedaness and Response
   Passi D, 2017, INT J PREVENTIVE MED, V8, DOI 10.4103/2008-7802.199641
   Peng ZB, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103494
   Pfefferbaum Rose L, 2016, Disaster Health, V3, P45, DOI 10.1080/21665044.2016.1189068
   Pieterse J.N., 2020, COVID 19 GOVERNANCE
   Pine J.C., 2006, TECHNOLOGY EMERGENCY
   Posid JM, 2013, BIOSECUR BIOTERROR, V11, P271, DOI 10.1089/bsp.2013.0044
   Renschler C., 2010, ARXIV
   Singh-Peterson L, 2014, INT J DISAST RISK RE, V10, P116, DOI 10.1016/j.ijdrr.2014.07.004
   Tang B, 2020, J CLIN MED, V9, DOI 10.3390/jcm9020462
   Wolf-Fordham S, 2020, AM REV PUBLIC ADM, V50, P560, DOI 10.1177/0275074020943706
   Wood P.B., 2018, P 2018 IEEE AEROSPAC, P1
   Xian SD, 2020, INT J INTELL SYST, V35, P2049, DOI 10.1002/int.22284
   Zhang X, 2022, EVALUATION REV, V46, P138, DOI 10.1177/0193841X221078642
   Zuo H., 2022, RES EPIDEMIC COVID 1
NR 34
TC 2
Z9 2
U1 23
U2 61
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2023
VL 15
IS 16
AR 12106
DI 10.3390/su151612106
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 Q4FO3
UT WOS:001057094100001
OA gold
DA 2025-04-22
ER

PT J
AU Xu, H
   Li, SX
   Tan, YT
   Xing, B
AF Xu, Hui
   Li, Shuxiu
   Tan, Yongtao
   Xing, Bin
TI Comprehensive Resilience Assessment of Complex Urban Public Spaces: A
   Perspective of Promoting Sustainability
SO LAND
LA English
DT Article
DE resilience assessment; complex urban public space; resilience indicator
   system; sustainability
ID CLIMATE-RELATED DISASTERS; COMMUNITY RESILIENCE; INDICATORS; CAPACITY;
   RECOVERY; AREAS; RISK; CITY
AB Complex urban systems, such as multi-floor rail transit stations and integrated railway transport hubs, are termed "complex urban public spaces" (CUPSs). These CUPSs facilitate people's lives, but, at the same time, are threatened by various risks due to their multi-floor structure, dense crowds, high correlation in multi-function, complex facilities, and space openness. The risk events of CUPSs could have a negative influence on public safety and further influence sustainable development. Increasing the resilience of CUPSs is an effective way to respond to risks and guarantee public safety. Therefore, it is necessary to first assess the resilience of CUPSs. In this paper, a six-level comprehensive resilience indicator system was established based on aspects of the essence of resilience. Used in combination with the methods of resilience impact score and fuzzy analytical hierarchy process, the resilience value could be calculated. The Shenzhen North Railway Station (SZ) and the Guangzhou South Railway Station (GZ) were used to validate the proposed methodology. The established resilience indicator system was shown to be comprehensive and innovative, and, regarding practicality, the proposed assessment methodology is convenient to use. This research can help policymakers to assess the resilience of CUPSs and develop relevant policies to improve the resilience of buildings, which can further enhance urban sustainability.
C1 [Xu, Hui; Li, Shuxiu] Chongqing Univ Posts & Telecommun, Sch Econ & Management, Chongqing 400065, Peoples R China.
   [Xu, Hui; Xing, Bin] Chongqing Innovat Ctr Ind Big Data Co Ltd, Natl Engn Lab Ind Big Data Applicat Technol, Chongqing 400707, Peoples R China.
   [Tan, Yongtao] RMIT Univ, Sch Engn, Melbourne, Vic 3001, Australia.
C3 Chongqing University of Posts & Telecommunications; Royal Melbourne
   Institute of Technology (RMIT)
RP Xu, H (corresponding author), Chongqing Univ Posts & Telecommun, Sch Econ & Management, Chongqing 400065, Peoples R China.; Xu, H (corresponding author), Chongqing Innovat Ctr Ind Big Data Co Ltd, Natl Engn Lab Ind Big Data Applicat Technol, Chongqing 400707, Peoples R China.
EM xuhui@cqupt.edu.cn; s200701042@stu.cqupt.edu.cn;
   yongtao.tan@rmit.edu.au; xingbin@casic.com
RI Tan, Yongtao/J-6829-2014
OI Tan, Yongtao/0000-0001-7321-4251; Xu, Hui/0000-0002-0744-3002
FU General Project of Chongqing Natural Science Foundation
   [cstc2021jcyj-msxmX0951]; Key Humanities and Social Science Research
   Program of Chongqing Municipal Education Commission in 2021 [21SKGH061];
   China Postdoctoral Science Foundation [2021M700617]; Science and
   Technology Research Program of Chongqing Municipal Education Commission
   [KJQN202000631]; Innovative Project of Chongqing Oversea Study
   Innovation Program [cx2020035]
FX This research was funded by The General Project of Chongqing Natural
   Science Foundation (Grant No. cstc2021jcyj-msxmX0951); The Key
   Humanities and Social Science Research Program of Chongqing Municipal
   Education Commission in 2021 (Grant No. 21SKGH061); The China
   Postdoctoral Science Foundation (Grant No. 2021M700617); The Science and
   Technology Research Program of Chongqing Municipal Education Commission
   (Grant No. KJQN202000631); The Innovative Project of Chongqing Oversea
   Study Innovation Program (Grant No. cx2020035).
CR Alshehri SA, 2015, NAT HAZARDS, V78, P395, DOI 10.1007/s11069-015-1719-5
   [Anonymous], 2011, CHINA DAILY
   [Anonymous], 2010, Constructing a Resilience Index for the Enhance Critical infrastructure Protection Program
   [Anonymous], 2021, GUANGZHOU DAILY
   Arbon P, 2016, INT J DISASTER RESIL, V7, P201, DOI 10.1108/IJDRBE-03-2015-0008
   Arbon P, 2014, AUST J EMERG MANAG, V29, P12
   Assarkhaniki Z, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101840
   Bottero M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080242
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Chen SC, 2008, ENG GEOL, V98, P86, DOI 10.1016/j.enggeo.2008.01.008
   Chen SC, 2009, ENVIRON GEOL, V56, P1523, DOI 10.1007/s00254-008-1251-y
   Chou JS, 2014, NAT HAZARDS, V74, P661, DOI 10.1007/s11069-014-1206-4
   Chu Z, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103304
   DasGupta R, 2015, J COAST CONSERV, V19, P85, DOI 10.1007/s11852-014-0369-1
   Deng HP, 1999, INT J APPROX REASON, V21, P215, DOI 10.1016/S0888-613X(99)00025-0
   Dong YD, 2017, ASCE-ASME J RISK U A, V3, DOI 10.1061/AJRUA6.0000932
   EqualOcean, 2021, EXPLOSION OCCURRED R
   Feng XH, 2021, LAND-BASEL, V10, DOI 10.3390/land10121305
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Garvey P.R., 1998, AIR FORCE J LOGIST, V22, P18
   Geng S., 2022, Reliability Engineering System Safety, V222, P108423, DOI 10.1016/j.ress.2022.108423
   González DP, 2018, APPL GEOGR, V94, P262, DOI 10.1016/j.apgeog.2018.03.004
   Hosseini S, 2016, COMPUT IND ENG, V93, P252, DOI 10.1016/j.cie.2016.01.007
   Huang CN, 2021, J AIR TRANSP MANAG, V95, DOI 10.1016/j.jairtraman.2021.102101
   Jane J., 1961, DEATH LIFE GREAT AM
   Javadpoor M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102609
   Jenks Charles., 1977, LANGUAGE POSTMODERN
   Jiangsu Urban and Rural Development Research Center, 2018, SERIES STUDIES URBAN
   Jiao LD, 2021, LAND-BASEL, V10, DOI 10.3390/land10121298
   Joerin J, 2012, INT J DISAST RISK RE, V1, P44, DOI 10.1016/j.ijdrr.2012.05.006
   Kahraman C, 2003, INFORM SCIENCES, V157, P135, DOI 10.1016/S0020-0255(03)00183-X
   Kim JT, 2021, ANN NUCL ENERGY, V156, DOI 10.1016/j.anucene.2021.108220
   Liu ZZ, 2022, J SAF SCI RESIL, V3, P93, DOI 10.1016/j.jnlssr.2021.12.003
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   NIAC, 2009, CRITICAL INFRASTRUCT
   Ouyang M, 2015, RELIAB ENG SYST SAFE, V141, P74, DOI 10.1016/j.ress.2015.03.011
   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
   Patriarca R, 2021, RELIAB ENG SYST SAFE, V209, DOI 10.1016/j.ress.2021.107467
   Pramanik D, 2017, INT J MANAG SCI ENG, V12, P45, DOI 10.1080/17509653.2015.1101719
   Ramadhani A, 2022, RELIAB ENG SYST SAFE, V222, DOI 10.1016/j.ress.2022.108421
   Rezvani SMHS, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103612
   Rochas C, 2015, J CLEAN PROD, V88, P358, DOI 10.1016/j.jclepro.2014.04.081
   Tariq H, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102358
   United Nations Human Settlements Programme (UN-Habitat), 2020, NAT URB POL DRIV PUB
   VENTURI ROBERT., 1966, COMPLEXITY CONTRADIC
   Wikipedia, 2017, HONG KONG MASS TRANS
   Xu H, 2017, J BUILD ENG, V12, P306, DOI 10.1016/j.jobe.2017.06.018
   Yang J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051375
   Yoon DK, 2016, J ENVIRON PLANN MAN, V59, P436, DOI 10.1080/09640568.2015.1016142
   Zhang C, 2021, ENERG BUILDINGS, V251, DOI 10.1016/j.enbuild.2021.111312
NR 51
TC 0
Z9 0
U1 7
U2 80
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUN
PY 2022
VL 11
IS 6
AR 842
DI 10.3390/land11060842
PG 23
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 2K4ER
UT WOS:000816291800001
OA gold
DA 2025-04-22
ER

PT J
AU Diaz-Sarachaga, JM
   Jato-Espino, D
AF Manuel Diaz-Sarachaga, Jose
   Jato-Espino, Daniel
TI Do sustainable community rating systems address resilience?
SO CITIES
LA English
DT Article
DE Community rating systems; Disaster risk; Resilience; Sendai Framework;
   Sustainable Development Goals; Urban Development
AB Extensive damages and numerous casualties are produced by natural disasters and hazards in urban areas. Hence, the absorption, recovery and adaptation to them through resilience are highly necessary to ensure operation and enhancement of urban systems. The significance of urbanization led to launch some tools such as BREEAM Communities, CASBEE for Urban Development, DNGB Urban Districts, Green Star Communities, LEED for Neighbourhood Development or STAR Community to promote sustainable development in communities and cities. After selecting the most relevant community rating systems, this research determined their adequacy to handle urban challenges by benchmarking them against the major international efforts and some relevant resilience assessment tools extracted from the study of eight global frameworks. Thus, the Sendai Framework and the 2030 Agenda represented the former, whilst the latter considered the City Resilience Index and the City Resilience Profiling Tool. The findings of this investigation revealed that the indicators of STAR Community and BREEAM Communities reflected the highest level of correspondence with the resilience assessment frameworks. However, the existence of prominent gaps in all the screened community rating systems suggests the need for developing a new tool involving both resilience and sustainability.
C1 [Manuel Diaz-Sarachaga, Jose; Jato-Espino, Daniel] Univ Cantabria, GITECO Res Grp, Ave Castros 44, Santander 39005, Spain.
C3 Universidad de Cantabria
RP Jato-Espino, D (corresponding author), Univ Cantabria, GITECO Res Grp, Ave Castros 44, Santander 39005, Spain.
EM jatod@unican.es
RI Jato-Espino, Daniel/G-5139-2015; DIAZ-SARACHAGA, JOSE MANUEL/I-3137-2019
OI Jato-Espino, Daniel/0000-0002-1964-6667; DIAZ-SARACHAGA, JOSE
   MANUEL/0000-0002-4709-2534
CR [Anonymous], 2015, A/CONF.224/CRP.1
   [Anonymous], 1992, RIO DECL ENV DEV
   [Anonymous], 2012, BREEAM COMMUNITIES T
   [Anonymous], 2017, Disaster Resilience Scorecard for Cities: Detailed Level Assessment
   [Anonymous], 2015, Indicators and a monitoring framework for the Sustainable Development Goals: Launching a data revolution for the SDGs, Revised working draft for consultation
   [Anonymous], 2007, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters
   [Anonymous], 2014, IFRC framework for community resilience
   Arup, 2015, CIT RES IND UND MEAS
   BCA, 2012, BCA GREEN MARK DISTR
   Berardi Umberto, 2013, Environment Development and Sustainability, V15, P1573, DOI 10.1007/s10668-013-9462-0
   CASBEE, 2014, CASBEE URBAN DEV TOO
   Cole R. J, 2013, SUSTAINABLE BUILT EN
   Collier MJ, 2013, CITIES, V32, pS21, DOI 10.1016/j.cities.2013.03.010
   Connelly Elizabeth B., 2017, Environment Systems & Decisions, V37, P46, DOI 10.1007/s10669-017-9634-9
   Cumming GS, 2006, ECOL SOC, V11
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   DGNB, 2016, DGNB URB DISTR
   Elkington J., 1997, Cannibals with Forks: The Triple Bottom Line of 21st Century Business
   EU-Joint Research Centre, Geospatial Risk and Resilience Assessment Platform-GRRASP
   Fox-Lent Cate, 2015, Environment Systems & Decisions, V35, P209, DOI 10.1007/s10669-015-9555-4
   Gawler S., 2014, ICLEI ACCCRN PROCESS
   Gencer Ebru A., 2017, How To Make Cities More Resilient. A Handbook for Local Government Leaders
   Green Building Council of Australia (GBCA), 2016, GREEN STAR COMM LIST
   Grosvenor, 2014, RES CIT GROSV RES RE
   IBEC, 2014, CASBEE URB DEV TECHN, V2014
   Khazai B., 2015, A Guide to Measuring Urban Risk Resilience: Principles, Tools and Practice of Urban Indicators
   Lee I, 2019, ENVIRON PLAN B-URBAN, V46, P862, DOI 10.1177/2399808317735105
   Linkov I., 2018, Nature, V555, P30, DOI [DOI 10.1038/D41586-018-02567-0, 10.1038/d41586-018-02567-0.30-30, DOI 10.1038/D41586-018-02567-0.30-30, 10.1038/d41586-018-02567-0]
   Diaz-Sarachaga JM, 2019, J CLEAN PROD, V207, P971, DOI 10.1016/j.jclepro.2018.10.061
   Missimer M, 2007, J CLEAN PROD, V140, P32
   National Academies of Science, 2012, DIRENAT IMP
   Pellicer E, 2016, J CLEAN PROD, V113, P884, DOI 10.1016/j.jclepro.2015.11.010
   Pfefferbaum RL, 2013, J PUBLIC HEALTH MAN, V19, P250, DOI 10.1097/PHH.0b013e318268aed8
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Salas J, 2018, J CLEAN PROD, V176, P1231, DOI 10.1016/j.jclepro.2017.11.249
   Shach-Pinsly D, 2019, LANDSCAPE URBAN PLAN, V191, DOI 10.1016/j.landurbplan.2018.08.022
   Short JohnRennie., 2006, Urban Theory: A Critical Assessment
   STAR Communities, 2016, STAR COMM RAT SYST V
   UN Habitat United Nations Habitat, 2015, TRANSF OUR WORLD 203
   UN-Habitat, 2017, CIT RES PROF PROGR
   UNISDR, 1994, YOK STRAT PLAN ACT S
   USGBC (US Green Building Council), 2018, LEED V4 NEIGHB DEV C
NR 42
TC 18
Z9 19
U1 3
U2 76
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 OCT
PY 2019
VL 93
BP 62
EP 71
DI 10.1016/j.cities.2019.04.018
PG 10
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA JA9AR
UT WOS:000488142900005
DA 2025-04-22
ER

PT J
AU Xue, F
   Luan, B
   Fan, Y
   Xie, SQ
   Yang, XM
   Luo, JN
   Zheng, RX
AF Xue, Fei
   Luan, Bo
   Fan, Yue
   Xie, Shiqi
   Yang, Xiaomin
   Luo, Jianing
   Zheng, Ruxuan
TI Assessing the Lifecycle Environmental Resilience of Urban Green
   Infrastructures Coping with Acute Disturbances and Chronic Stresses
SO WATER
LA English
DT Article
DE urban resilience; lifecycle assessment (LCA); urban green infrastructure
   (UGI); nature-based solutions (NbSs); acute disturbances; chronic
   stresses
ID MANAGEMENT-PRACTICES; CLIMATE-CHANGE; ECOSYSTEM SERVICES; LID
   FACILITIES; PEAK FLOW; STORMWATER; URBANIZATION; OPTIMIZATION;
   BIORETENTION; POLLUTION
AB Urban green infrastructure (UGI), a key component of nature-based solutions (NbSs), plays a vital role in enhancing urban resilience. Nonetheless, the absence of a thorough resilience evaluation for UGI has hindered the efficacy of its design and implementation. This article proposes an innovative urban environmental resilience index (ERI) framework designed to evaluate the lifecycle performance of UGI. First, a coupled environmental resilience evaluation system is proposed that encompasses indicators for the adaptation to acute disturbances and the mitigation of chronic pressures. Second, the inventive formulas for calculating the environmental resilience index are presented, which establish the weighting of indicators through Delphi-analytic hierarchy process (AHP) analysis, and the Storm Water Management Model (SWMM), GaBi, and i-Tree models are employed for the quantitative assessment. Third, four representative UGI scenarios in urban built-up areas have been selected for comparative analysis and in-depth discussion by calculating the resilience index. This research presents UGI solutions as adaptive measures for "Black Swan" events and "Gray Rhino" phenomena, offering significant case studies and methodological frameworks which will inform future endeavours in green and sustainable urban development.
C1 [Xue, Fei; Fan, Yue] Shenzhen Univ, Ctr Human Oriented Environm & Sustainable Design, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.
   [Xue, Fei; Luan, Bo; Xie, Shiqi; Yang, Xiaomin; Luo, Jianing] Peking Univ, Shenzhen Inst, Green Infrastruct Inst, Shenzhen 518057, Peoples R China.
   [Zheng, Ruxuan] Archimaera, Brooklyn, NY 11222 USA.
C3 Shenzhen University; Peking University
RP Luan, B (corresponding author), Peking Univ, Shenzhen Inst, Green Infrastruct Inst, Shenzhen 518057, Peoples R China.
EM xuefei@szu.edu.cn; luanbo@pku.edu.cn; yfan@szu.edu.cn; xiesq@ier.org.cn;
   zooe21@foxmail.com; luojn@ier.org.cn; ruxuan980105@gmail.com
RI Luan, Bo/LGY-6305-2024
FU National Natural Science Foundation of China
FX No Statement Available
CR Alamdari N, 2022, J CLEAN PROD, V375, DOI 10.1016/j.jclepro.2022.134073
   Alamdari N, 2022, ENVIRON REV, V30, P61, DOI 10.1139/er-2021-0003
   Alvarado VI, 2020, ENVIRON SCI TECHNOL, V54, P4746, DOI 10.1021/acs.est.9b05755
   Angrill S, 2012, INT J LIFE CYCLE ASS, V17, P25, DOI 10.1007/s11367-011-0330-6
   Barry R, 2024, WATER-SUI, V16, DOI 10.3390/w16050731
   Bibi TS, 2023, J HYDROL-REG STUD, V45, DOI 10.1016/j.ejrh.2022.101291
   Browder G., 2017, Integrating Green and Gray: Creating Next Generation Infrastructure
   Brudler S, 2016, WATER RES, V106, P394, DOI 10.1016/j.watres.2016.10.024
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Cahill T.H., 2012, Low impact development and sustainable stormwater management
   Calderón-Contreras R, 2017, ECOSYST SERV, V23, P127, DOI 10.1016/j.ecoser.2016.12.004
   Chan FKS, 2021, ENVIRON SCI POLICY, V122, P101, DOI 10.1016/j.envsci.2021.04.009
   Cheek W, 2022, INT J DISAST RISK SC, V13, P317, DOI 10.1007/s13753-022-00410-9
   Chen T, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15108141
   [陈志端 Chen Zhiduan], 2021, [城市发展研究, Urban Studies], V28, P1
   De Sousa MRC, 2012, J IND ECOL, V16, P901, DOI 10.1111/j.1530-9290.2012.00534.x
   DeBusk KM, 2011, J HYDROL ENG, V16, P274, DOI 10.1061/(ASCE)HE.1943-5584.0000315
   Ekka SA, 2021, J ENVIRON MANAGE, V279, DOI 10.1016/j.jenvman.2020.111756
   Fei YM, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110912
   Ferreira C.S. S., 2021, Nature-Based Solutions for Flood Mitigation, V107, P59, DOI [DOI 10.1007/698_2021_758, 10.1007/978-3-030-77505-6, 10.1007/698_2021_758]
   Flynn KM, 2013, ECOL ENG, V55, P9, DOI 10.1016/j.ecoleng.2013.01.004
   Folke C., 2016, Resilience, V1, DOI DOI 10.1093/ACREFORE/9780199389414.013.8
   Fu X, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125146
   Gao JY, 2021, ECOHYDROL HYDROBIOL, V21, P13, DOI 10.1016/j.ecohyd.2020.09.003
   Ghasemi L., 2023, Circular Economy for Industrial, Commercial, and Institutional (ICI) Buildings: Comparison of Alternative End-of-the-Life Cycle Management Scenarios
   Giudice B., 2023, Green Infrastructure: Planning Strategies and Environmental Design, P186, DOI [10.1007/978-3-031-28772-5, DOI 10.1007/978-3-031-28772-5]
   Hong WY, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104057
   Hou DY, 2023, NAT REV EARTH ENV, V4, P271, DOI 10.1038/s43017-023-00404-1
   Hu Q, 2024, RESOUR POLICY, V88, DOI 10.1016/j.resourpol.2023.104461
   Huang BJ, 2017, SOL ENERGY, V143, P132, DOI 10.1016/j.solener.2016.12.038
   Huang C., 2022, Yangtze River, V53, P31, DOI [10.16232/j.cnki.1001-4179.2022.04.006, DOI 10.16232/J.CNKI.1001-4179.2022.04.006]
   Huang Guo, 2015, Water Resources and Power, V33, P10
   Huang Guo-ru, 2012, Journal of South China University of Technology, V40, P142, DOI 10.3969/j.issn.1000-565X.2012.02.025
   Huijbregts M. A. J., 2017, ReCiPe 2016 v1.1 A harmonized life cycle impact assessment method at, mid point and end point level, Report I: characterization, P201
   Huijbregts MAJ, 2017, INT J LIFE CYCLE ASS, V22, P138, DOI 10.1007/s11367-016-1246-y
   Jia HF, 2013, ENVIRON MONIT ASSESS, V185, P7915, DOI 10.1007/s10661-013-3144-0
   Jiang L, 2021, LANDSC ARCHIT FRONT, V9, P8, DOI 10.15302/J-LAF-1-020057
   Jiang Q., 2023, Acta Ecol. Sin, V43, P1738, DOI [10.5846/stxb202108182287, DOI 10.5846/STXB202108182287]
   Jiang Q, 2024, WATER-SUI, V16, DOI 10.3390/w16010109
   [姜允芳 Jiang Yunfang], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P2060
   Kumareswaran K., 2023, Green Infrastructure and Urban Climate Resilience: An Introduction, P199, DOI [10.1007/978-3-031-37081-6_5, DOI 10.1007/978-3-031-37081-6_5]
   Leal W, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020753
   Li L, 2018, CITIES, V74, P126, DOI 10.1016/j.cities.2017.11.013
   Li YF, 2016, ENVIRON POLLUT, V208, P87, DOI 10.1016/j.envpol.2015.08.042
   Li Y, 2018, J HYDROL, V558, P659, DOI 10.1016/j.jhydrol.2018.02.007
   Liang Y., 2022, Water Resour. Hydropower Eng, V53, P1, DOI [10.13928/j.cnki.wrahe.2022.02.001, DOI 10.13928/J.CNKI.WRAHE.2022.02.001]
   Lo-Iacono-Ferreira VG, 2016, J CLEAN PROD, V133, P43, DOI 10.1016/j.jclepro.2016.05.046
   Lu L., 2013, Masters Thesis
   Luan B, 2020, LANDSC ARCHIT FRONT, V8, P94, DOI 10.15302/J-LAF-0-030001
   Luan B, 2019, J CLEAN PROD, V223, P680, DOI 10.1016/j.jclepro.2019.03.028
   [栾博 Luan Bo], 2017, [生态学报, Acta Ecologica Sinica], V37, P5246
   Marando F, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103564
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Moore FC, 2022, NATURE, V603, P103, DOI 10.1038/s41586-022-04423-8
   Mosleh L, 2023, WATER-SUI, V15, DOI 10.3390/w15091786
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   Oliveira M, 2022, LAND-BASEL, V11, DOI 10.3390/land11122106
   Peng J, 2022, WATER SCI TECHNOL, V85, P756, DOI 10.2166/wst.2022.026
   Phillis YA, 2017, COMPUT ENVIRON URBAN, V64, P254, DOI 10.1016/j.compenvurbsys.2017.03.002
   Pushkar S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8010054
   Rafael S, 2016, SCI TOTAL ENVIRON, V566, P1500, DOI 10.1016/j.scitotenv.2016.06.037
   Reynolds HL, 2022, FRONT ECOL ENVIRON, V20, P231, DOI 10.1002/fee.2446
   Rockstroem J, 2023, NATURE, V619, P102, DOI 10.1038/s41586-023-06083-8
   [戎贵文 Rong Guiwen], 2022, [水资源保护, Water Resources Protection], V38, P168
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Rycewicz-Borecki M, 2017, ECOL ENG, V99, P409, DOI 10.1016/j.ecoleng.2016.11.020
   Saaty T.L., 2012, Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, V3rd ed.
   Sañudo-Fontaneda LA, 2020, WATER-SUI, V12, DOI 10.3390/w12102781
   Saraçoglu KE, 2023, J HYDROL ENG, V28, DOI 10.1061/JHYEFF.HEENG-5824
   Sharma S, 2023, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-023-03411-w
   Shen LQ, 2019, NURS EDUC TODAY, V79, P67, DOI 10.1016/j.nedt.2018.09.021
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Suárez M, 2024, LANDSCAPE URBAN PLAN, V241, DOI 10.1016/j.landurbplan.2023.104923
   Sun B., 2020, Yangtze River, V51, P17, DOI [10.16232/j.cnki.1001-4179.2020.06.004, DOI 10.16232/J.CNKI.1001-4179.2020.06.004]
   Sun HH, 2019, HABITAT INT, V88, DOI 10.1016/j.habitatint.2019.05.002
   Taleb N., 2007, The Black Swan: The Impact of the Highly Improbable
   Tavakol-Davani H, 2019, WATER-SUI, V11, DOI 10.3390/w11122592
   Tiwari A, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.155778
   UN, 2023, Towards a Rescue Plan for People and Planet, P76
   Vargas-Hernández JG, 2021, ENVIRON DEV SUSTAIN, V23, P1335, DOI 10.1007/s10668-020-00623-2
   Wang B, 2023, RESOUR POLICY, V85, DOI 10.1016/j.resourpol.2023.103758
   Wang J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105358
   Wang M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151410857
   Wang M, 2016, J HYDROL, V543, P423, DOI 10.1016/j.jhydrol.2016.10.019
   Wang RR, 2013, ENVIRON SCI TECHNOL, V47, P11189, DOI 10.1021/es4026547
   [王蓉 Wang Rong], 2015, [北京大学学报. 自然科学版, Acta Scientiarum Naturalium Universitatis Pekinensis], V51, P141
   Wang SS, 2019, J CLEAN PROD, V241, DOI 10.1016/j.jclepro.2019.118358
   Wu J., 2022, Urban Gov, V2, P127, DOI [10.1016/j.ugj.2022.10.001, DOI 10.1016/J.UGJ.2022.10.001]
   [吴亚男 Wu Ya'nan], 2015, [给水排水, Water & Wastewater Engineering], V41, P126
   Xian BCC, 2021, IOP C SER EARTH ENV, V646, DOI 10.1088/1755-1315/646/1/012045
   [向炀 Xiang Yang], 2023, [中国园林, Chinese Landscape Architecture], V39, P105
   Xu B., 2022, Water Conserv. Sci. Technol. Econ, V28, P18
   Xu H., 2019, Pearl River, V40, P97
   [颜文涛 Yan Wentao], 2019, [生态学报, Acta Ecologica Sinica], V39, P1165
   Yan X., 2020, Masters Thesis
   Yang XJ, 2013, INFORM SCIENCES, V222, P384, DOI 10.1016/j.ins.2012.08.019
   [俞孔坚 Yu Kongjian], 2015, [城市规划学刊, Urban Planning Forum], P75
   [虞美秀 Yu Meixiu], 2022, [水科学进展, Advances in Water Science], V33, P894
   Zhang H., 2022, J. Southwest For. Univ. Soc. Sci, V6, P56
   Zhang XQ, 2023, J CLEAN PROD, V423, DOI 10.1016/j.jclepro.2023.138840
   Zhao HY, 2023, FORESTS, V14, DOI 10.3390/f14071304
   [赵懋源 Zhao Maoyuan], 2022, [兰州大学学报. 自然科学版, Journal of Lanzhou University. Natural Science], V58, P412
   [赵瑞东 Zhao Ruidong], 2020, [地理科学进展, Progress in Geography], V39, P1717
   Zhu M., 2023, Constr. Econ, V44, P5, DOI [10.14181/j.cnki.1002-851x.202305005, DOI 10.14181/J.CNKI.1002-851X.202305005]
NR 106
TC 2
Z9 3
U1 28
U2 49
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD APR
PY 2024
VL 16
IS 8
AR 1162
DI 10.3390/w16081162
PG 30
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA OW0C2
UT WOS:001210187400001
OA gold
DA 2025-04-22
ER

PT J
AU Ye, SS
   Cao, MM
AF Ye, Shanshan
   Cao, Mingming
TI The Impact of Industrial Linkage Structures on Urban Economic Resilience
   in China in the Context of the COVID-19 Shock
SO SUSTAINABILITY
LA English
DT Article
DE industrial linkage; economic resilience; input-output table; urban
ID GLOBAL PRODUCTION NETWORKS; REGIONAL RESILIENCE; VARIETY
AB The structures of industrial linkages form an essential basis for the economy and have an important impact on urban economic resilience. By analyzing the impact of COVID-19 on China's urban economy in 2020, this study uses China's national input-output table to measure the centrality and diversity of industrial linkage structures. Extracted data from 298 cities in China are used to explore the impact of centrality and diversity on urban economic resilience. The results show that the cities in East China, Central China, and the Chengdu-Chongqing area in western China have a high centrality with respect to industrial linkage structures. Cities in the Yangtze River Delta, Pearl River Delta, the middle reaches of the Yangtze River city cluster, and the Chengdu-Chongqing city cluster have a high diversity of industrial linkages structures. During the shock of the COVID-19 pandemic, most cities in China have shown high economic resilience. For cities across the country, diversity shows a significant and positive correlation with economic resilience, and centrality shows a significant and positive correlation with economic resilience. The latter displays an inverted U-shaped relationship between centrality and economic resilience. For cities with different population sizes, there are differences in the impacts of centrality and diversity on urban economic resilience. Different industrial policies can be developed to adjust the centrality and diversity of the cities to enhance urban economic resilience.
C1 [Ye, Shanshan; Cao, Mingming] Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China.
   [Ye, Shanshan] Shaanxi Prov Dev & Reform Res Ctr, Xian 710016, Peoples R China.
C3 Northwest University Xi'an
RP Ye, SS (corresponding author), Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China.; Ye, SS (corresponding author), Shaanxi Prov Dev & Reform Res Ctr, Xian 710016, Peoples R China.
EM shanshanye@stumail.nwu.edu.cn
RI Cao, Mingming/AAD-1606-2021
FU Innovative Capability Support Fund of Shaanxi Province [2022KRM197]
FX This research was supported by "the Innovative Capability Support Fund
   of Shaanxi Province under grant 2022KRM197".
CR Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Atun Funda., 2014, UNDERSTANDING COMPLE, P51
   Balland PA, 2015, CAMB J REG ECON SOC, V8, P167, DOI 10.1093/cjres/rsv007
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Cainelli G, 2019, ANN REGIONAL SCI, V62, P657, DOI 10.1007/s00168-019-00911-4
   Cellini R, 2014, REG STUD, V48, P1779, DOI 10.1080/00343404.2013.861058
   Chenyang Lian, 2006, Systems Engineering, V9, P241, DOI 10.1002/sys.20051
   Chopra S.S., GRAPH THEORETIC APPR
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Doran J, 2018, ENVIRON PLANN A, V50, P111, DOI 10.1177/0308518X17736067
   Eagle N, 2010, SCIENCE, V328, P1029, DOI 10.1126/science.1186605
   Frenken K, 2007, REG STUD, V41, P685, DOI 10.1080/00343400601120296
   Giannakis E, 2020, REG STUD, V54, P1200, DOI 10.1080/00343404.2019.1698720
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Graziano P, 2016, SCI TOTAL ENVIRON, V553, P211, DOI 10.1016/j.scitotenv.2016.02.051
   Han Y, 2019, APPL ECON, V51, P2019, DOI 10.1080/00036846.2018.1539806
   Hess M, 2006, ENVIRON PLANN A, V38, P1193, DOI 10.1068/a38463
   Lapuh L, 2018, REG STUD REG SCI, V5, P149, DOI 10.1080/21681376.2018.1459202
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Marana P, 2018, SAFETY SCI, V110, P39, DOI 10.1016/j.ssci.2017.12.011
   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
   Newman MEJ, 2002, PHYS REV LETT, V89, DOI 10.1103/PhysRevLett.89.208701
   Niu QK, 2015, PHYSICA A, V438, P124, DOI 10.1016/j.physa.2015.06.031
   Pavlínek P, 2018, ECON GEOGR, V94, P141, DOI 10.1080/00130095.2017.1393313
   Pretorius O, 2017, REG SCI POLICY PRACT, V9, P217, DOI 10.1111/rsp3.12102
   Rose A, 2013, INT J DISAST RISK RE, V5, P73, DOI 10.1016/j.ijdrr.2013.08.003
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Suire R, 2014, ENTREP REGION DEV, V26, P142, DOI 10.1080/08985626.2013.877985
   Sun SW, 2016, SCI REP-UK, V6, DOI 10.1038/srep32983
   van Bergeijk PAG, 2017, PAP REG SCI, V96, P3, DOI 10.1111/pirs.12279
   Xi Jinping, 2020, Qiushi, V21, P4
   Zhai GF, 2015, HUM ECOL RISK ASSESS, V21, P1206, DOI 10.1080/10807039.2014.955385
NR 35
TC 5
Z9 5
U1 18
U2 88
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2023
VL 15
IS 6
AR 5011
DI 10.3390/su15065011
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 C2DN0
UT WOS:000960086100001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Xiong, Q
   Li, JT
AF Xiong, Qiang
   Li, Jintao
TI STUDY ON THE COORDINATED DEVELOPMENT OF URBAN RESILIENCE AND ECOLOGICAL
   ENVIRONMENT PROTECTION
SO FRESENIUS ENVIRONMENTAL BULLETIN
LA English
DT Article
DE Urban resilience; Wuhan; Coordination degree model; Ecological
   environmental protection
ID ECONOMIC-GROWTH; ENERGY; CHINA; CONSUMPTION; GENERATION; TOURISM;
   QUALITY; EXPLORE
AB Taking Wuhan City as the research object, through the construction of an urban resilience evaluation index system and an ecological environmental protection degree evaluation index system, the urban resilience and ecological environmental protection degree of the city from 2008 to 2017 were measured and calculated, and the temporal characteristics of regional resilience development were analyzed. Based on the analysis, and based on the coordination degree model, the coordination between the resilience of Wuhan and the degree of ecological protection is studied. The results show that the urban resilience of Wuhan has shown a linear upward trend in the past 10 years, indicating that Wuhan has strengthened its emergency response capabilities for natural disasters, and the city's safety factor has increased sharply; Wuhan's urban ecological and environmental protection levels have generally risen in waves; from 2008 to 2011 The degree of coordination between urban resilience and ecological environment protection in Wuhan has grown rapidly. After 2011. the growth rate has declined, and the overall coordination degree has maintained a steady increase, but the coordination degree is not high, and it remains at the primary coupling coordination.
C1 [Xiong, Qiang; Li, Jintao] Hubei Univ Technol, Sch Civil Architecture & Environm, Wuhan 430068, Peoples R China.
C3 Hubei University of Technology
RP Li, JT (corresponding author), Hubei Univ Technol, Sch Civil Architecture & Environm, Wuhan 430068, Peoples R China.
EM litao888@email.cn
RI Li, Jintao/AAX-7904-2021
CR Oviedo-García MA, 2017, INT J TOUR RES, V19, P203, DOI 10.1002/jtr.2097
   Daniel K, 2009, J AGR ECON, V60, P504, DOI 10.1111/j.1477-9552.2009.00214.x
   Dong QY, 2015, FRESEN ENVIRON BULL, V24, P405
   Du Z.B., 2011, Tour. Trib, V26, P65
   Gössling S, 2013, WIRES CLIM CHANGE, V4, P525, DOI 10.1002/wcc.243
   Gozgor G, 2018, ENERGY, V153, P27, DOI 10.1016/j.energy.2018.03.158
   Gultekin U, 2019, FRESEN ENVIRON BULL, V28, P8171
   Han SJ, 2011, ENRGY PROCED, V5, P2397, DOI 10.1016/j.egypro.2011.03.412
   He YH, 2018, SCI TOTAL ENVIRON, V644, P1117, DOI 10.1016/j.scitotenv.2018.07.050
   Jamrozy U, 2017, INT J CULT TOUR HOSP, V11, P18, DOI [10.1108/ijcthr-09-2015-0114, 10.1108/IJCTHR-09-2015-0114]
   Lai JHK, 2015, SUSTAIN CITIES SOC, V14, P334, DOI 10.1016/j.scs.2013.09.005
   Lee TH, 2015, J SUSTAIN TOUR, V23, P947, DOI 10.1080/09669582.2015.1024257
   Liu J, 2011, RENEW SUST ENERG REV, V15, P2887, DOI 10.1016/j.rser.2011.02.029
   Liu M, 2018, FRESEN ENVIRON BULL, V27, P4631
   Pao HT, 2015, ENERGY, V89, P449, DOI 10.1016/j.energy.2015.05.113
   Price J, 2017, APPL ENERG, V195, P356, DOI 10.1016/j.apenergy.2017.03.065
   Salehi M, 2017, COMPUT IND ENG, V113, P392, DOI 10.1016/j.cie.2017.09.020
   Tang X, 2015, SUSTAINABILITY-BASEL, V7, P5508, DOI 10.3390/su7055508
   Tukker A, 2015, J CLEAN PROD, V97, P76, DOI 10.1016/j.jclepro.2013.11.049
   Williams J, 2001, ANN TOURISM RES, V28, P269, DOI 10.1016/S0160-7383(00)00030-X
   Xiong SQ, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112115
   Xu YP, 2018, FRESEN ENVIRON BULL, V27, P2818
   Zhou HY, 2020, FRESEN ENVIRON BULL, V29, P2350
NR 23
TC 1
Z9 1
U1 4
U2 27
PU PARLAR SCIENTIFIC PUBLICATIONS (P S P)
PI FREISING
PA ANGERSTR. 12, 85354 FREISING, GERMANY
SN 1018-4619
EI 1610-2304
J9 FRESEN ENVIRON BULL
JI Fresenius Environ. Bull.
PY 2021
VL 30
IS 11
BP 11809
EP 11815
PG 7
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA WO1TN
UT WOS:000712244200028
DA 2025-04-22
ER

PT J
AU Khikmah, F
   Sebald, C
   Metzner, M
   Schwieger, V
AF Khikmah, Fithrothul
   Sebald, Christoph
   Metzner, Martin
   Schwieger, Volker
TI Modelling Vegetation Health and Its Relation to Climate Conditions Using
   Copernicus Data in the City of Constance
SO REMOTE SENSING
LA English
DT Article
DE climate change; Copernicus; Climate Data Store; city resilience;
   vegetation health; vulnerability; bioclimate indicators; municipal;
   urban planning; remote sensing
AB Monitoring vegetation health and its response to climate conditions is critical for assessing the impact of climate change on urban environments. While many studies simulate and map the health of vegetation, there seems to be a lack of high-resolution, low-scale data and easy-to-use tools for managers in the municipal administration that they can make use of for decision-making. Data related to climate and vegetation indicators, such as those provided by the C3S Copernicus Data Store (CDS), are mostly available with a coarse resolution but readily available as freely available and open data. This study aims to develop a systematic approach and workflow to provide a simple tool for monitoring vegetation changes and health. We built a toolbox to streamline the geoprocessing workflow. The data derived from CDS included bioclimate indicators such as the annual moisture index and the minimum temperature of the coldest month (BIO06). The biophysical parameters used are leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FAPAR). We used a linear regression model to derive equations for downscaled biophysical parameters, applying vegetation indices derived from Sentinel-2, to identify the vegetation health status. We also downscaled the bioclimatic indicators using the digital elevation model (DEM) and Landsat surface temperature derived from Landsat 8 through Bayesian kriging regression. The downscaled indicators serve as a critical input for forest-based classification regression to model climate envelopes to address suitable climate conditions for vegetation growth. The results derived contribute to the overall development of a workflow and tool for and within the CoKLIMAx project to gain and deliver new insights that capture vegetation health by explicitly using data from the CDS with a focus on the City of Constance at Lake Constance in southern Germany. The results shall help gain new insights and improve urban resilient, climate-adaptive planning by providing an intuitive tool for monitoring vegetation health and its response to climate conditions.
C1 [Khikmah, Fithrothul] Monash Univ Indonesia, Fac Art Design & Architecture, Tangerang Selatan 15345, Indonesia.
   [Sebald, Christoph; Metzner, Martin; Schwieger, Volker] Univ Stuttgart, Inst Engn Geodesy IIGS, Fac Aerosp Engn & Geodesy 6, D-70174 Stuttgart, Germany.
C3 University of Stuttgart
RP Sebald, C (corresponding author), Univ Stuttgart, Inst Engn Geodesy IIGS, Fac Aerosp Engn & Geodesy 6, D-70174 Stuttgart, Germany.
EM fithrothul.khikmah@monash.edu; chr.sebald@gmail.com;
   martin.metzner@iigs.uni-stuttgart.de;
   volker.schwieger@iigs.uni-stuttgart.de
OI Schwieger, Volker/0000-0001-9055-9809; Sebald,
   Christoph/0000-0001-6597-7857
FU German Aerospace Center
FX The publication is based on a master thesis at Stuttgart University of
   Applied Sciences (HFT) and the University of Stuttgart, Institute of
   Engineering Geodesy (IIGS), that was co. supervised by C. Sebald. The
   support of M. Hahn. from the Stuttgart University of Applied Sciences
   (HFT) is gratefully acknowledged. The authors would also like to thank
   the editors and the reviewers for their help and suggestions.
CR [Anonymous], 2007, Estudios de la Zona no Saturada del Suelo
   [Anonymous], 2018, Urban Atlas Street Tree Layer, DOI [10.2909/205691b3-7ae9-41dd-abf1-1fbf60d72c8c, DOI 10.2909/205691B3-7AE9-41DD-ABF1-1FBF60D72C8C]
   Bajocco S, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14153554
   Bonafoni S, 2016, EUR J REMOTE SENS, V49, P553, DOI 10.5721/EuJRS20164929
   BOX EO, 1993, J BIOGEOGR, V20, P629, DOI 10.2307/2845519
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Bühler MM, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13183634
   Buermann W, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000975
   Cârlan I, 2020, ECOL INFORM, V55, DOI 10.1016/j.ecoinf.2019.101032
   Chen ZT, 2021, ECOL EVOL, V11, P7335, DOI 10.1002/ece3.7564
   Copernicus Climate Change Service (C3S), 2018, Climate Data Store (CDS) Copernicus Climate Change Service Leaf Area Index and Fraction Absorbed of Photosynthetically Active Radiation 10-Daily Gridded Data from 1981 to Present, DOI [10.24381/cds.7-59b01a, DOI 10.24381/CDS.7-59B01A]
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   defence-industry-space.ec.europa.eu, Copernicus Copernicus History Overview
   European Environment Agency, 2016, URB AD CLIM CHANG EU
   European Environment Agency, 2020, Urban adaptation in Europe: How cities and towns respond to climate change
   European Environment Agency, Extreme Weather: Floods, Droughts and Heatwaves
   Gamble J.L., 2016, The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment, DOI [10.7930/J00P0WXS, DOI 10.7930/J00P0WXS]
   Heikkinen RK, 2006, PROG PHYS GEOG, V30, P751, DOI 10.1177/0309133306071957
   Heugel A., 2020, Lake Constance
   HUETE A R, 1988, Remote Sensing of Environment, V25, P295, DOI 10.1016/0034-4257(88)90106-X
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Kamenova I, 2021, EUR J REMOTE SENS, V54, P89, DOI 10.1080/22797254.2020.1839359
   Lechterbeck J, 2021, GRANA, V60, P119, DOI 10.1080/00173134.2020.1784265
   Magness DR, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208883
   Notaro M, 2012, ECOL APPL, V22, P1365, DOI 10.1890/11-1269.1
   Onacillová K, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14164076
   Rondeaux G, 1996, REMOTE SENS ENVIRON, V55, P95, DOI 10.1016/0034-4257(95)00186-7
   Rosch M., 1993, Vegetation History and Archaeobotany, V2, P213, DOI [10.1007/BF00198163, DOI 10.1007/BF00198163]
   Weiss JL, 2004, J ARID ENVIRON, V58, P249, DOI 10.1016/j.jaridenv.2003.07.001
   Wu H, 2009, SENSORS-BASEL, V9, P1768, DOI 10.3390/s90301768
   Yan K., VIIRS Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation (FPAR) Product Algorithm Theoretical Basis Document (ATBD)
   Zanaga Daniele, 2021, Zenodo, DOI 10.5281/ZENODO.5571935
   Zbigniew B., 2017, Geoinf. Issues, V9, P15
NR 33
TC 0
Z9 0
U1 3
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD FEB
PY 2024
VL 16
IS 4
AR 691
DI 10.3390/rs16040691
PG 20
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 JJ0U8
UT WOS:001172688400001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Mallick, SK
   Das, P
   Maity, B
   Rudra, S
   Pramanik, M
   Pradhan, B
   Sahana, M
AF Mallick, Suraj Kumar
   Das, Pritiranjan
   Maity, Biswajit
   Rudra, Somnath
   Pramanik, Malay
   Pradhan, Biswajeet
   Sahana, Mehebub
TI Understanding future urban growth, urban resilience and sustainable
   development of small cities using prediction-adaptation-resilience (PAR)
   approach
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE CA-Markov chain model; prediction-adaptation-resilience; sustainable
   development goals; urban governance; urban resilience
ID LAND-COVER CHANGE; CELLULAR-AUTOMATA; DRIVING FORCES; MODEL; SIMULATION;
   DYNAMICS; MARKOV; GIS; INTEGRATION; TRANSITION
AB Rapid urban proliferation is an indispensable and reciprocal issue in contemporary urban planning and development. This study envisages the prediction-adaptation-resilience (PAR) approach to analyze the future urban landscape resilience and sustainable development goals (SDGs). We have selected a small, unplanned growing up city, namely, Krishnanagar urban agglomeration (KUA), in India, to apply the PAR approach. Therefore, land use land cover map has been prepared for 2000, 2010, and 2020. The result shows the built-up area has been increased most in past 20 years, from 6.36 km(2) to 13.23 km(2). Then, the cellular automata-Markov chain model is applied to predict the future potential urban development surface for 2030 and 2040. The receiver operating characteristic (ROC) curve shows 83.6% success rate between the predicted and actual map of CA-Markov. The prediction map of 2030 and 2040 shows that the built-up area continuously expands (13.23 km(2) to 16.52 km(2)) towards KUA's surrounding regions. Consequently, other decreasing land classes will be a threat to SDGs and urban resilience. So, people of KUA are adopting the changing hostile nature of urbanisation and urban vulnerability. Hence, this study will help the local administration to make a proper urban planning and adaptation strategies by maintaining good urban governance to achieve 8 SDGs of UN's 2030 Agenda in future.
C1 [Mallick, Suraj Kumar; Das, Pritiranjan; Maity, Biswajit; Rudra, Somnath] Vidyasagar Univ, Dept Geog, Midnapore 721102, W Bengal, India.
   [Pramanik, Malay] Tata Inst Social Sci, Jamsetji Tata Sch Disaster Studies, Ctr Geo Informat, Mumbai 400088, Maharashtra, India.
   [Pramanik, Malay] Asian Inst Technol AIT, Sch Environm Resources & Dev, Dept Dev & Sustainabil, POB 4, Klongluang 12120, Pathumthani, Thailand.
   [Pradhan, Biswajeet] Univ Technol Sydney, Ctr Adv Modelling & Geospatial Informat Syst CAMG, Fac Engn & IT, Sydney, NSW 2007, Australia.
   [Pradhan, Biswajeet] Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro, Seoul 05006, South Korea.
   [Pradhan, Biswajeet] Univ Kebangsaan Malaysia, Inst Climate Change, Earth Observat Ctr, Bangi 43600, Selangor, Malaysia.
   [Sahana, Mehebub] Univ Manchester, Sch Environm Educ & Dev, Manchester, Lancs, England.
C3 Vidyasagar University; Tata Institute of Social Sciences; Asian
   Institute of Technology; University of Technology Sydney; Sejong
   University; Universiti Kebangsaan Malaysia; University of Manchester
RP Mallick, SK (corresponding author), Vidyasagar Univ, Dept Geog, Midnapore 721102, W Bengal, India.
EM surajkumarmallick5@gmail.com
RI Pradhan, Biswajeet/E-8226-2010; MALLICK, SURAJ/AAU-2123-2021; Pramanik,
   Malay/AAU-1085-2021; Das, Pritiranjan/ABC-5073-2021
OI Maity, Biswajit/0000-0002-8089-6921; Rudra, Somnath/0000-0003-1302-1604;
   Das, Pritiranjan/0000-0002-2956-2117; Sahana,
   Mehebub/0000-0002-3166-5916; MALLICK, SURAJ KUMAR/0000-0003-0994-086X
CR [Anonymous], 2014, WORLD URBANISATION P
   [Anonymous], 2010, IND URB AW BUILD INC
   Arsanjani JJ, 2013, INT J APPL EARTH OBS, V21, P265, DOI 10.1016/j.jag.2011.12.014
   Bharath H. A., 2017, J GEOMATICS, V11
   Bhatta B, 2009, INT J REMOTE SENS, V30, P4733, DOI 10.1080/01431160802651967
   Census of India, 2011, DISTR CENS HDB
   Chen RS, 2014, LAND USE POLICY, V40, P101, DOI 10.1016/j.landusepol.2013.10.003
   Clarke K.C., 2018, Geomatic Approaches for Modeling Land Change Scenarios, P139, DOI DOI 10.1007/978-3-319-60801-3_8
   Clarke KC, 1998, INT J GEOGR INF SCI, V12, P699, DOI 10.1080/136588198241617
   Coppin P, 2004, INT J REMOTE SENS, V25, P1565, DOI 10.1080/0143116031000101675
   Cortinovis C, 2020, LANDSCAPE URBAN PLAN, V201, DOI 10.1016/j.landurbplan.2020.103842
   Deng JS, 2009, LANDSCAPE URBAN PLAN, V92, P187, DOI 10.1016/j.landurbplan.2009.05.001
   Dubovyk O, 2011, ISPRS J PHOTOGRAMM, V66, P235, DOI 10.1016/j.isprsjprs.2010.10.002
   Eastman J. R., 2012, IDRISI SELVA 17 0 ED
   Fathollahzadeh MH, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102932
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Francis CA, 2012, INT J AGR SUSTAIN, V10, P8, DOI 10.1080/14735903.2012.649588
   Ghosh S, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102773
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gómez-Villarino MT, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102595
   Guan DJ, 2011, ECOL MODEL, V222, P3761, DOI 10.1016/j.ecolmodel.2011.09.009
   Gupta P, 2020, ADV INTELL SYST COMP, V1054, P259, DOI 10.1007/978-981-15-0135-7_25
   Houet T., 2006, EARSeL eProceedings, V5, P63
   Islam A., 2013, PRACTISING GEOGRAPHE, V17, P107
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Ke XL, 2016, INT J GEOGR INF SCI, V30, P637, DOI 10.1080/13658816.2015.1084510
   Keith M, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102820
   LANDIS JD, 1994, ENVIRON PLANN B, V21, P399, DOI 10.1068/b210399
   Li YC, 2008, CHINESE SCI BULL, V53, P1401, DOI 10.1007/s11434-008-0169-9
   Lu DS, 2013, INT J REMOTE SENS, V34, P5953, DOI 10.1080/01431161.2013.802825
   Maithani S, 2010, J INDIAN SOC REMOT, V38, P604, DOI 10.1007/s12524-010-0053-3
   Maity B, 2021, EGYPT J REMOTE SENS, V24, P471, DOI 10.1016/j.ejrs.2020.10.005
   Maity B, 2022, GEOJOURNAL, V87, P1619, DOI 10.1007/s10708-020-10315-z
   Mallick S.K., 2021, INDIAN J GEOGR ENV, V17-18, P14
   Mallick SK, 2021, Groundwater and Society, P141, DOI [10.1007/978-3-030-64136-87, DOI 10.1007/978-3-030-64136-87, DOI 10.1007/978-3-030-64136-8_7]
   Mallick SK, 2021, GEOGR SUSTAIN, V2, P127, DOI 10.1016/j.geosus.2021.06.002
   Manju Mohan Manju Mohan, 2011, Journal of Environmental Protection, V2, P1274, DOI 10.4236/jep.2011.29147
   Mark A., 2011, INTRO STOCHASTIC MOD, V4th, P79, DOI [10.1016/C2009-1-61171-0, DOI 10.1016/C2009-1-61171-0]
   Mondal B., 2017, Geocarto International, V6049, P1, DOI DOI 10.1080/10106049.2016.1155656
   Mondal B, 2020, GEOCARTO INT, V35, P411, DOI 10.1080/10106049.2018.1520922
   Mondal B, 2017, ECOL INDIC, V83, P62, DOI 10.1016/j.ecolind.2017.07.037
   Nadia-NICRA, 2011, AGR CONT PLAN DISTR
   Naikoo MW, 2020, J URBAN MANAG, V9, P347, DOI 10.1016/j.jum.2020.05.004
   Newbold KB, 2013, CAN GEOGR-GEOGR CAN, V57, P474, DOI 10.1111/j.1541-0064.2013.12044.x
   Patra S, 2018, J URBAN MANAG, V7, P70, DOI 10.1016/j.jum.2018.04.006
   Poku-Boansi M, 2018, CITIES, V72, P252, DOI 10.1016/j.cities.2017.09.005
   Pontius RG, 2004, ECOL MODEL, V179, P445, DOI 10.1016/j.ecolmodel.2004.05.010
   Pramanik MK, 2017, ENVIRON DEV SUSTAIN, V19, P1343, DOI 10.1007/s10668-016-9804-9
   Quan B, 2006, PEDOSPHERE, V16, P477, DOI 10.1016/S1002-0160(06)60078-7
   Rimal B, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7040154
   Saaty TL., 1980, Agricultural Economics Review, V70, P10
   Sajjad M, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102850
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Shi F, 2015, DISCRETE DYN NAT SOC, V2015, DOI 10.1155/2015/496179
   Siddiqui A, 2018, EGYPT J REMOTE SENS, V21, P229, DOI 10.1016/j.ejrs.2017.11.006
   TURNER BL, 1994, AMBIO, V23, P91
   Turner MG, 1987, LANDSCAPE ECOL, V1, P29, DOI 10.1007/BF02275263
   United Nations Home Page, Work of the Statistical Commission Pertaining to the 2030 Agenda for Sustainable Development
   Verburg PH, 2004, LANDSCAPE ECOL, V19, P77, DOI 10.1023/B:LAND.0000018370.57457.58
   White R, 1997, ENVIRON PLANN B, V24, P235, DOI 10.1068/b240235
   Wu KY, 2012, APPL GEOGR, V34, P137, DOI 10.1016/j.apgeog.2011.11.006
   Zanotti L, 2020, ECOL SOC, V25, DOI 10.5751/ES-11642-250304
   Zhang L, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102899
NR 63
TC 64
Z9 64
U1 11
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 NOV
PY 2021
VL 74
AR 103196
DI 10.1016/j.scs.2021.103196
EA JUL 2021
PG 13
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 WP5BO
UT WOS:000713147200008
DA 2025-04-22
ER

PT J
AU Reynolds, HL
   Mincey, SK
   Montoya, RD
   Hamlin, S
   Sullivan, A
   Thapa, B
   Wilson, J
   Rosing, H
   Jarzen, J
   Grove, JM
AF Reynolds, Heather L.
   Mincey, Sarah K.
   Montoya, Robert D.
   Hamlin, Samantha
   Sullivan, Abigail
   Thapa, Bhuwan
   Wilson, Jeffrey
   Rosing, Howard
   Jarzen, Joseph
   Grove, J. Morgan
TI Green infrastructure for urban resilience: a trait-based framework
SO FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
LA English
DT Review
ID SOCIAL-ECOLOGICAL SYSTEMS; ECOSYSTEM SERVICES; PLANTED TREES; FOREST;
   STEWARDSHIP; LANDSCAPE; MEMORY
AB Urban areas around the world are increasingly turning to green infrastructure to promote resilience to climate change. Core traits of resilient systems have emerged from diverse disciplines. Here, we draw from existing literature on these core traits to elaborate an explicitly social-ecological systems (SES) and resilience trait-based framework for operationalizing urban resilience through green infrastructure. We identify social and ecological dimensions of core resilience traits, cover methodological aspects of creating SES- and resilience-based spatial inventories of urban green infrastructure, and discuss how this framework helps to promote systems-based planning. We demonstrate the application of the framework to several real world cases and identify fruitful research directions.
C1 [Reynolds, Heather L.; Hamlin, Samantha] Indiana Univ, Dept Biol, Bloomington, IN 47405 USA.
   [Reynolds, Heather L.; Mincey, Sarah K.; Montoya, Robert D.; Hamlin, Samantha; Sullivan, Abigail; Thapa, Bhuwan; Wilson, Jeffrey] Indiana Univ, Environm Resilience Inst, Bloomington, IN 47405 USA.
   [Mincey, Sarah K.] Indiana Univ, ONeill Sch Publ & Environm Affairs, Bloomington, IN USA.
   [Montoya, Robert D.] Indiana Univ, Sch Informat Comp & Engn, Bloomington, IN USA.
   [Montoya, Robert D.] Univ Calif Los Angeles, Dept Informat Studies, Los Angeles, CA USA.
   [Thapa, Bhuwan; Wilson, Jeffrey] Indiana Univ Purdue Univ, Dept Geog, Indianapolis, IN 46202 USA.
   [Rosing, Howard] DePaul Univ, Steans Ctr Community Based Serv Learning & Commun, Chicago, IL 60604 USA.
   [Jarzen, Joseph] Keep Indianapolis Beautiful, Indianapolis, IN USA.
   [Grove, J. Morgan] US Forest Serv, USDA, Baltimore, MD USA.
C3 Indiana University System; Indiana University Bloomington; Indiana
   University System; Indiana University Bloomington; Indiana University
   System; Indiana University Bloomington; Indiana University System;
   Indiana University Bloomington; University of California System;
   University of California Los Angeles; Purdue University System; Purdue
   University; DePaul University; United States Department of Agriculture
   (USDA); United States Forest Service
RP Reynolds, HL (corresponding author), Indiana Univ, Dept Biol, Bloomington, IN 47405 USA.; Reynolds, HL (corresponding author), Indiana Univ, Environm Resilience Inst, Bloomington, IN 47405 USA.
EM hlreynol@indiana.edu
RI Sullivan, Abigail/JYQ-1619-2024; Thapa, Bhuwan/HNI-2794-2023
OI Wilson, Jeffrey/0000-0002-1249-2968; Sullivan,
   Abigail/0000-0002-2746-859X; Hamlin, Samantha/0000-0002-9965-6864;
   Thapa, Bhuwan/0000-0001-5869-4779
FU Indiana University's Prepared for Environmental Change Grand Challenges
   Initiative and Environmental Resilience Institute
FX This paper was informed by a workshop organized by SKM and HLR for the
   2018 National Council for Science and the Environment Conference in
   Washington, DC. Workshop participation was supported by Indiana
   University's Prepared for Environmental Change Grand Challenges
   Initiative and Environmental Resilience Institute.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Allen WL III, 2012, ENVIRON PRAC, V14, P17, DOI 10.1017/S1466046611000469
   Andersson E, 2016, ECOL INDIC, V70, P606, DOI 10.1016/j.ecolind.2016.02.030
   Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y
   [Anonymous], 2015, Principles for Building Resilience: Sustaining Ecosystem Services in Social-Ecological Systems, DOI 10.1017/CBO9781316014240
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   BDP (Baltimore Department of Planning), 2015, GREEN PATT BOOK US V
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Brandt L, 2016, ENVIRON SCI POLICY, V66, P393, DOI 10.1016/j.envsci.2016.06.005
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   Clark James R., 1997, Journal of Arboriculture, V23, P17
   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
   Costanza Robert., 2013, BUILDING SUSTAINABLE
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Darden J, 2010, ANN ASSOC AM GEOGR, V100, P137, DOI 10.1080/00045600903379042
   Darnhofer I, 2016, J RURAL STUD, V44, P111, DOI 10.1016/j.jrurstud.2016.01.013
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Kendal D, 2014, URBAN FOR URBAN GREE, V13, P411, DOI 10.1016/j.ufug.2014.04.004
   Kenney W. Andy, 2011, Arboriculture & Urban Forestry, V37, P108
   Krasny ME, 2012, FRONT ECOL ENVIRON, V10, P267, DOI 10.1890/110230
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lennon M, 2014, TOWN PLAN REV, V85, P563, DOI 10.3828/tpr.2014.35
   Levin S, 2013, ENVIRON DEV ECON, V18, P111, DOI 10.1017/S1355770X12000460
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   McPherson EG, 2013, URBAN FOR URBAN GREE, V12, P134, DOI 10.1016/j.ufug.2013.01.003
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Mincey Sarah K., 2014, Arboriculture & Urban Forestry, V40, P84
   Okvat HA, 2011, AM J COMMUN PSYCHOL, V47, P374, DOI 10.1007/s10464-010-9404-z
   Pulighe G, 2016, ECOSYST SERV, V22, P1, DOI 10.1016/j.ecoser.2016.09.004
   Svendsen E.S., 2016, Stewardship mapping and assessment project: A framework for understanding community-based environmental stewardship
   Vogt JM, 2015, LANDSCAPE URBAN PLAN, V136, P130, DOI 10.1016/j.landurbplan.2014.11.021
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   WATT KEF, 1986, SYST RES, V3, P191, DOI 10.1002/sres.3850030403
   Zhang ZZ, 2019, URBAN FOR URBAN GREE, V38, P305, DOI 10.1016/j.ufug.2018.10.014
NR 46
TC 10
Z9 12
U1 50
U2 226
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1540-9295
EI 1540-9309
J9 FRONT ECOL ENVIRON
JI Front. Ecol. Environ.
PD MAY
PY 2022
VL 20
IS 4
BP 231
EP 239
DI 10.1002/fee.2446
EA DEC 2021
PG 9
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 0X1OS
UT WOS:000730586600001
DA 2025-04-22
ER

PT J
AU Yang, M
   Jiao, MY
   Zhang, JY
AF Yang, Mei
   Jiao, Mengyun
   Zhang, Jinyu
TI Coupling Coordination and Interactive Response Analysis of Ecological
   Environment and Urban Resilience in the Yangtze River Economic Belt
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE ecological environment; urban resilience; coupling coordination;
   interactive response; the Yangtze River Economic Belt
ID CITIES; GROWTH
AB There is a complex dynamic coupling interaction process between the ecological environment and urban resilience. It is important to clarify the coordination relationship and interactive response mechanism between them for sustainable development construction of the Yangtze River Economic Belt. The coupling coordination degree model and the panel vector autoregressive model (PVAR) were adopted to quantitatively examine the dynamic coordination and interactive response of the ecological environment and urban resilience in the Yangtze River Economic Belt from 2000 to 2019. Our study's results are the following: (1) The ecological environment index and urban resilience index have a generally positive trend of fluctuation and increase during the study period but show significant regional differentiation. (2) The coupling coordination degree of ecological environment and urban resilience in the Yangtze River Economic Belt increased steadily, forming a spatial distribution pattern of "strong in the east and weak in the west", with cities in the region mainly at the basic coordination level and generally lagging behind in development. (3) Both the ecological environment and urban resilience systems in the Yangtze River Economic Belt have significant self-reinforcing mechanisms, but the reinforcing effect is gradually decreasing, and the two positively promote each other, with urban resilience showing a more obvious promoting effect on the ecological environment.
C1 [Yang, Mei; Jiao, Mengyun; Zhang, Jinyu] Chongqing Univ Technol, Sch Management, Chongqing 400054, Peoples R China.
   [Yang, Mei; Zhang, Jinyu] Chongqing Univ Technol, Collaborat Res Ctr Innovat Driven Entrepreneurshi, Chongqing 400054, Peoples R China.
C3 Chongqing University of Technology; Chongqing University of Technology
RP Jiao, MY (corresponding author), Chongqing Univ Technol, Sch Management, Chongqing 400054, Peoples R China.
EM jiaomengyun2022@163.com
FU National Social Science Foundation of China [18XSH017]; Humanities and
   Social Sciences Major Emphasis Projects of Chongqing Municipal Education
   Commission [22SKGH301]; Action Plan for High Quality Development of
   Postgraduate Education of Chongqing University of Technology
   [gzlcx20223120]
FX This research was funded by the National Social Science Foundation of
   China, grant number 18XSH017 and the Humanities and Social Sciences
   Major Emphasis Projects of Chongqing Municipal Education Commission,
   grant number 22SKGH301; funded by the Action Plan for High Quality
   Development of Postgraduate Education of Chongqing University of
   Technology, grant number gzlcx20223120.
CR Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   [Anonymous], NEW KNOWLEDGE NEW IN
   [Anonymous], 2011, QUAL LIFE, DOI DOI 10.7251/QOL1101033M
   [Anonymous], 2001, UNIVERSAL DECLARATIO
   [Anonymous], ECOLOGICAL ENV PROTE
   [Anonymous], 2004, CHIN HOSP MANAG
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cannon T., 2006, VULNERABILITY ANAL L, V1st, P51
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Elkington J., 1999, ALTERN J, V25, P42, DOI 10.1002/tqem.3310080106
   Fan YP, 2019, J CLEAN PROD, V229, P289, DOI 10.1016/j.jclepro.2019.05.027
   Fang J., 2006, CHINAS ENV CHALLENGE
   Feng J.Y., 2020, Ecol. Econ, V36, P101
   Gabriel LF, 2019, STRUCT CHANGE ECON D, V49, P43, DOI 10.1016/j.strueco.2019.03.008
   Gan C., 2022, GEOGR INF SC, V38, P127
   Gao YP, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244024
   Geng YQ, 2020, DISCRETE DYN NAT SOC, V2020, DOI 10.1155/2020/1406978
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   GROSSMAN GM, 1995, Q J ECON, V110, P353, DOI 10.2307/2118443
   He J. H., 2022, Resource Development Market, V38, P46
   Li C., 2005, CONT WORLD, V10, P4
   [李苏 Li Su], 2022, [干旱区地理, Arid Land Geography], V45, P1281
   Liu DJ, 2015, INT J ENV RES PUB HE, V12, P7085, DOI 10.3390/ijerph120607085
   Liu HB, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18010124
   [刘琳轲 Liu Linke], 2021, [自然资源学报, Journal of Natural Resources], V36, P176
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Liu MD, 2019, WATER RES, V166, DOI 10.1016/j.watres.2019.115042
   [刘彦平 Liu Yanping], 2021, [城市发展研究, Urban Studies], V28, P93
   Love I, 2006, Q REV ECON FINANC, V46, P190, DOI 10.1016/j.qref.2005.11.007
   Luo X, 2022, WATER-SUI, V14, DOI 10.3390/w14071083
   LUTKEDOHL H., 1993, J AM STAT ASSOC, V87, P1243
   Ma D.B., 2021, RESOUR DEV MARK, V37, P820
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   牛文元, 2008, [地理科学进展, Progress in Geography], V27, P1
   Niu W.Y., 2012, China Popul. Resour. Environ, V22, P9, DOI [10.3969/j.issn.1002-2104.2012.05.003, DOI 10.3969/J.ISSN.1002-2104.2012.05.003]
   Ren YH, 2022, LAND-BASEL, V11, DOI 10.3390/land11060882
   Shi LY, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247158
   Shi T., 2022, Regional Economic Review, P139
   Shi T, 2022, TECHNOL ECON DEV ECO, V28, P979, DOI 10.3846/tede.2022.16721
   Song YJ, 2011, PROCEDIA ENGINEER, V21, P142, DOI 10.1016/j.proeng.2011.11.1997
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   State Council, GUIDANCE STATE COUNC
   Tang Z, 2015, TOURISM MANAGE, V46, P11, DOI 10.1016/j.tourman.2014.06.001
   UN, 2015, UNGA Resolution 70/1
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wilbanks T.J., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P957, DOI DOI 10.1007/S11027-007-9108-3
   Wu JJ, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106521
   Yang HF, 2021, CATENA, V206, DOI 10.1016/j.catena.2021.105542
   Zhang M, 2018, ENVIRON IMPACT ASSES, V68, P90, DOI 10.1016/j.eiar.2017.11.002
   [张晓玲 Zhang Xiaoling], 2018, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V33, P10
   Zheng H., 2005, J HUAZHONG U SCI TEC, V4, P51
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 54
TC 19
Z9 19
U1 31
U2 173
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 11988
DI 10.3390/ijerph191911988
PG 23
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 5G1OB
UT WOS:000866774300001
PM 36231294
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Chen, YS
   Wang, XY
   Song, XW
   Jia, JL
   Chen, YY
   Shang, WL
AF Chen, Yishui
   Wang, Xiaoya
   Song, Xuewang
   Jia, Jianlin
   Chen, Yanyan
   Shang, Wen-Long
TI Resilience Assessment of Multimodal Urban Transport Networks
SO JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
LA English
DT Article
DE Multimodal transport; transport network; resilience assessment; random
   attack; calculated attack
ID SYSTEM
AB With the development of urbanization and the evolution of urban network systems, multimodal urban transport network (MUTN) systems play a vital role in improving network effects and operational efficiency. However, urban transport networks are easily affected by natural disasters and traffic incidents, which can lead to significant human and economic losses. Accordingly, it is vital to be able to assess the resilience of transport networks in the face of various disruptions. This study, therefore, utilizes complex network theory to analyze the resilience of multimodal urban transport networks, with the resilience accessed based on topological indices. The MUTN in Beijing is selected as a case study for simulation analysis. Based on the road network and subway network, a model MUTN is established, and the Monte Carlo method is used to simulate random attacks. The results show that the MUTN in Beijing has good resilience against disruptions. This study guides the evaluation of the overall resilience of multimodal urban transport networks and will be useful for transportation planners and decision-makers in dealing with emergencies and natural disasters in the future.
C1 [Chen, Yishui; Song, Xuewang] Beijing Univ Technol, Coll Metropolitan Transportat, Beijing, Peoples R China.
   [Wang, Xiaoya] Imperial Coll London, Coll Civil & Environm Engn, London, England.
   [Jia, Jianlin; Chen, Yanyan; Shang, Wen-Long] Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing, Peoples R China.
   [Shang, Wen-Long] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China.
   [Shang, Wen-Long] Imperial Coll London, Ctr Transport Studies, London, England.
C3 Beijing University of Technology; Imperial College London; Beijing
   University of Technology; Beijing Jiaotong University; University of
   London; University College London; Imperial College London
RP Shang, WL (corresponding author), Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing, Peoples R China.; Shang, WL (corresponding author), Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China.; Shang, WL (corresponding author), Imperial Coll London, Ctr Transport Studies, London, England.
EM Chenys615@emails.bjut.edu.cn; xiaoya.wang21@imperial.ac.uk;
   sxwbjut@163.com; jiajianlin@emails.bjut.edu.cn; cdyan@bjut.edu.cn;
   shangwl_imperial@bjut.edu.cn
RI Shang, Wen-Long/LZG-1023-2025; Wang, Xiaoya/HGA-1083-2022; chen,
   yanyan/AAR-7009-2020
FU Beijing Natural Science Foundation [L211027]; Postdoctoral Research
   Foundation in China [2021M690341]; International Research Cooperation
   Seed Fund of Beijing University of Technology [2021A04]
FX This research is supported in part by the Beijing Natural Science
   Foundation (No. L211027), in part by the Postdoctoral Research
   Foundation in China (No. 2021M690341) and in part by the International
   Research Cooperation Seed Fund of Beijing University of Technology (No.
   2021A04).
CR Akbarzadeh M, 2019, TRANSPORTATION, V46, P1127, DOI 10.1007/s11116-017-9814-y
   Al-Ghorabie FHH, 2006, APPL RADIAT ISOTOPES, V64, P85, DOI 10.1016/j.apradiso.2004.12.013
   [Anonymous], 1999, People's Daily, P4
   Baggag A, 2018, EPJ DATA SCI, V7, DOI 10.1140/epjds/s13688-018-0139-7
   Bai GH, 2021, FRONT ENG MANAG, V8, P545, DOI 10.1007/s42524-021-0161-5
   Bai SZ, 2022, FRONT ENG MANAG, V9, P473, DOI 10.1007/s42524-022-0213-5
   Bhavathrathan BK, 2015, TRANSPORTMETRICA A, V11, P836, DOI 10.1080/23249935.2015.1087230
   BI HB, 2022, IEEE T INTELL TRANSP
   Bi HB, 2021, APPL ENERG, V291, DOI 10.1016/j.apenergy.2021.116818
   Bi HB, 2020, IEEE ACCESS, V8, P54441, DOI 10.1109/ACCESS.2020.2982120
   CHEN X, IEEE T INTELL TRANSP, P1
   Cui K., 2021, J PHYS C SER, V1910
   Ding F, 2022, IEEE T INTELL TRANSP, V23, P9430, DOI 10.1109/TITS.2021.3120075
   Faroqi H, 2016, J NAVIGATION, V69, P197, DOI 10.1017/S0373463315000594
   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
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gray N, 2021, ADV APPL ENERGY, V1, DOI 10.1016/j.adapen.2021.100008
   GUO Z, IEEE J BIOMED HEALTH, P1
   Guo ZW, 2021, IEEE INTERNET THINGS, V8, P9549, DOI 10.1109/JIOT.2020.3003802
   He ZD, 2021, RELIAB ENG SYST SAFE, V207, DOI 10.1016/j.ress.2020.107315
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hu L., XINHUA DAILY TELEGRA, P4
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Liu Z, 2022, RESOUR CONSERV RECY, V182, DOI 10.1016/j.resconrec.2022.106290
   Loder A, 2017, TRANSPORT RES C-EMER, V82, P88, DOI 10.1016/j.trc.2017.06.009
   Lozano A, 2002, TRANSPORT RES B-METH, V36, P853, DOI 10.1016/S0191-2615(01)00038-8
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Mei A., 2001, J MANAGE ENG, P14
   Ministry of Emergency Management announces 2020 national natural disaster basic situation, 2021, DISASTER REDUCTION C, P60
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Pan, 2005, URBAN PLAN FORUM, P51
   Rosyida EE, 2018, IOP CONF SER-MAT SCI, V337, DOI 10.1088/1757-899X/337/1/012043
   Shang W. L., 2022, IEEE T INTELL TRANSP
   Shang WL, 2020, COMPLEXITY, V2020, DOI 10.1155/2020/6025821
   Shang WL, 2021, APPL ENERG, V285, DOI 10.1016/j.apenergy.2020.116429
   Shang WL, 2020, COMPLEXITY, V2020, DOI 10.1155/2020/8841317
   Shang WL, 2020, MATH PROBL ENG, V2020, DOI 10.1155/2020/5875803
   Shang WL, 2020, IEEE ACCESS, V8, P104458, DOI 10.1109/ACCESS.2020.2999129
   Soh H, 2010, PHYSICA A, V389, P5852, DOI 10.1016/j.physa.2010.08.015
   Sun J., 2021, POPULAR STANDARD, P187
   Tan L, 2022, IEEE T INTELL TRANSP, V23, P2830, DOI 10.1109/TITS.2021.3119921
   Tan L, 2022, IEEE CONSUM ELECTR M, V11, P69, DOI 10.1109/MCE.2021.3081874
   Tierney K., 2007, TR News, V250, P14, DOI DOI 10.17226/23168
   Twumasi-Boakye R, 2018, J TRANSP ENG A-SYST, V144, DOI 10.1061/JTEPBS.0000186
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Wu GY, 2021, FRONT ENG MANAG, V8, P503, DOI 10.1007/s42524-021-0163-3
   Yang ZL, 2022, APPL ENERG, V311, DOI 10.1016/j.apenergy.2022.118687
   Yu KP, 2021, IEEE T INTELL TRANSP, V22, P4337, DOI 10.1109/TITS.2020.3042504
   Yu Z., 2019, THESIS SE U
   Zhang Q, 2021, POP MUSIC SOC, V44, P539, DOI 10.1080/03007766.2021.1921909
   Zhang YF, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108227
   Zhao L, 2022, IEEE T RELIAB, V71, P951, DOI 10.1109/TR.2022.3159664
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
   ZHOU Z, IEEE T INTELL TRANSP, P1
   Zhu BC, 2022, IEEE T COMMUN, V70, P3186, DOI 10.1109/TCOMM.2022.3162263
   Zhu JX, 2020, IEEE ACCESS, V8, P158862, DOI 10.1109/ACCESS.2020.3019301
NR 58
TC 7
Z9 8
U1 43
U2 242
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 0218-1266
EI 1793-6454
J9 J CIRCUIT SYST COMP
JI J. Circuits Syst. Comput.
PD DEC
PY 2022
VL 31
IS 18
AR 2250310
DI 10.1142/S0218126622503108
EA JUL 2022
PG 21
WC Computer Science, Hardware & Architecture; Engineering, Electrical &
   Electronic
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering
GA 8O2TQ
UT WOS:000849434500002
DA 2025-04-22
ER

PT J
AU Zhou, X
   Wang, H
   Duan, ZX
   Zhou, GQ
AF Zhou, Xiao
   Wang, Han
   Duan, Zhixin
   Zhou, Guoqing
TI Exploring the impacts of urbanization on ecological resilience from a
   spatiotemporal heterogeneity perspective: evidence from 254 cities in
   China
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article; Early Access
DE Urbanization; Ecological resilience; Spatial-temporal evolution;
   Geographically and temporally weighted regression
AB Strengthening the ecological resilience of cities is essential for enhancing self-regulation and recovery mechanisms in response to disasters. This study examines the impact of urbanization on ecological resilience by utilizing panel data from 254 Chinese cities over the period 2017-2021. First, an urban ecological resilience assessment framework is developed to analyze the spatiotemporal evolution of ecological resilience. The results reveal a distinct spatial gradient in ecological resilience, decreasing from southeast to northwest, while temporal analysis indicates overall stability throughout the study period. Moreover, the relationship between urbanization and ecological resilience is explored using a geographically and temporally weighted regression model. The findings highlight spatial heterogeneity in the impacts of urbanization factors, including GRP per capita, the proportion of secondary and tertiary industry output value, urban population ratio, built-up area, and urban road area, on ecological resilience, with each factor demonstrating bidirectional effects. This study provides empirical evidence on the influence of urbanization on ecological resilience, offering valuable insights to support urban resilience building.
C1 [Zhou, Xiao] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
   [Wang, Han] Univ Hong Kong, Fac Architecture, Pokfulam, Hong Kong, Peoples R China.
   [Duan, Zhixin] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Peoples R China.
   [Zhou, Guoqing] Guilin Univ Technol, Guangxi Key Lab Spatial Informat & Geomat, Guilin, Peoples R China.
C3 Central China Normal University; University of Hong Kong; Wuhan
   University; Guilin University of Technology
RP Zhou, X (corresponding author), Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
EM zhxiao712@ccnu.edu.cn; hanwgeek@gmail.com; dzx224@163.com;
   gzhou@glut.edu.com
RI Zhou, Guoqing/JYP-4413-2024
FU National Natural Science Foundation of China [42201454]; CCNU from the
   colleges' basic research and operation of MOE [CCNU24JC030,
   CCNU24JCPT020]; Postdoctor Project of Hubei Province [2024HBBHXF043];
   Hubei Dawn Program [202454]; Academy of Finland (AKA) [202454] Funding
   Source: Academy of Finland (AKA)
FX This research was supported by the National Natural Science Foundation
   of China (42201454), the self-determined research funds of CCNU from the
   colleges' basic research and operation of MOE (CCNU24JC030,
   CCNU24JCPT020), the Postdoctor Project of Hubei Province
   (2024HBBHXF043), and the Hubei Dawn Program (202454).
CR Alabdulkreem E, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101469
   Alam T, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104295
   Cao H, 2023, Front Bus Econ Manage, V9, P343, DOI [10.54097/fbem.v9i1.8777, DOI 10.54097/FBEM.V9I1.8777]
   Dong QK, 2022, J CLEAN PROD, V358, DOI 10.1016/j.jclepro.2022.132008
   Feng XH, 2021, LAND-BASEL, V10, DOI 10.3390/land10121305
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Ferreira AJD, 2013, ENRGY PROCED, V40, P6, DOI 10.1016/j.egypro.2013.08.002
   Hailu BA, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-73572-5
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu SJ, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102815
   Huang B, 2010, INT J GEOGR INF SCI, V24, P383, DOI 10.1080/13658810802672469
   Huang CB, 2024, LAND DEGRAD DEV, V35, P2000, DOI 10.1002/ldr.5037
   Huang XX, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108319
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Lee CC, 2024, J CLEAN PROD, V443, DOI 10.1016/j.jclepro.2024.141082
   Li GZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110667
   Liao ZJ, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-33342-5
   Liu NN, 2018, ECOL INDIC, V93, P1163, DOI 10.1016/j.ecolind.2018.06.013
   Pojani D, 2015, SUSTAINABILITY-BASEL, V7, P7784, DOI 10.3390/su7067784
   Qiao WY, 2022, CITIES, V130, DOI 10.1016/j.cities.2022.103981
   Ren X., 2019, J LANDSC RES, V11, P54
   Salamatnia Arezoo, 2021, Arabian Journal of Geosciences, V14, DOI 10.1007/s12517-020-06355-x
   Shamsipour A, 2024, SUSTAIN CITIES SOC, V103, DOI 10.1016/j.scs.2024.105252
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Shi RX, 2021, ENVIRON TECHNOL INNO, V23, DOI 10.1016/j.eti.2021.101552
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Tang MG, 2020, J CLEAN PROD, V272, DOI 10.1016/j.jclepro.2020.122798
   Tian JF, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104538
   Wan LL, 2015, HABITAT INT, V46, P54, DOI 10.1016/j.habitatint.2014.10.020
   Wang H, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107163
   Wang J, 2022, HABITAT INT, V125, DOI 10.1016/j.habitatint.2022.102598
   Wang J, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118133
   Wang K, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2020.102026
   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
   Wang X, 2024, RESOUR ENVIRON SUST, V15, DOI 10.1016/j.resenv.2023.100146
   Wu CX, 2024, ECOL PROCESS, V13, DOI 10.1186/s13717-024-00529-1
   Xia H, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110381
   Xiao H, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110980
   Xiao W, 2020, ECOL INDIC, V109, DOI 10.1016/j.ecolind.2019.105843
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang DW, 2018, RESOUR CONSERV RECY, V134, P196, DOI 10.1016/j.resconrec.2018.03.016
   Yang M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141710585
   Yang Z, 2024, CHINESE GEOGR SCI, V34, P19, DOI 10.1007/s11769-024-1407-z
   Yao JD, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107827
   Yi PT, 2021, J CLEAN PROD, V281, DOI 10.1016/j.jclepro.2020.125369
   Yu SK, 2023, LAND-BASEL, V12, DOI 10.3390/land12071412
   Yuan Y, 2022, ECOL ENG, V175, DOI 10.1016/j.ecoleng.2021.106486
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhang XX, 2022, NAT SUSTAIN, V5, P321, DOI 10.1038/s41893-021-00843-y
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhao Z, 2018, TECHNOL FORECAST SOC, V137, P19, DOI 10.1016/j.techfore.2018.09.031
   Zhou DY, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2021.105365
   Zhou X, 2020, APPL OCEAN RES, V100, DOI 10.1016/j.apor.2020.102155
NR 54
TC 0
Z9 0
U1 81
U2 81
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 2024 DEC 2
PY 2024
DI 10.1007/s10668-024-05770-4
EA DEC 2024
PG 20
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA N9H0Y
UT WOS:001367350400001
DA 2025-04-22
ER

PT J
AU Bazbauers, AR
AF Bazbauers, Adrian Robert
TI Sustainable, green, and climate-resilient cities: an analysis of
   multilateral development banks
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Multilateral development banks; climate change; climate finance;
   sustainable cities; green cities; resilient cities; development
ID INSTITUTIONAL ISOMORPHISM; MULTILEVEL GOVERNANCE; WORLD-BANK; SMART;
   ADAPTATION; CHALLENGES; NETWORKS; POLITICS; POLICIES; FINANCE
AB Climate change has exposed significant urban vulnerabilities in the Global North and South, leading to calls for sustainable, green, and climate-resilient (SGR) cities. The multilateral development banks (MDBs) financed projects and established initiatives to promote SGR cities during the 2010s. This article qualitatively analyses 60 SGR city projects financed by seven MDBs between December 2009 and August 2020. The contribution of the article is to analyse what the MDBs are financing: What types of projects are being approved? What are their objectives and components? What outcomes are hoped to be achieved? As a microcosm of broader MDB climate interventions, the article evaluates what the MDBs are prioritizing in their SGR city projects and what this means for development and climate change. The article concludes that while the projects advocate interventions to address climate change, maintain economic growth, and build more equitable cities, they conform to a narrow focus on infrastructural development, a technology-based approach that is uncertain to address the complex social and economic factors leading to human-induced climate change.
C1 [Bazbauers, Adrian Robert] UNSW Canberra, Int Publ Sect Management Sch Business, Campbell, ACT, Australia.
C3 University of New South Wales Sydney
RP Bazbauers, AR (corresponding author), UNSW Canberra, Sch Business, Northcott Dr, Campbell, ACT 2612, Australia.
EM a.bazbauers@unsw.edu.au
CR Acharya Amitav., 2009, WHOSE IDEAS MATTER A
   AfDB AsDB AIIB EBRD EIB IADB IsDB NDB and World Bank Group, 2019, HIGH LEV MDB STAT CL
   AfDB AsDB EBRD EIB IADB IsDB World Bank Group, 2020, 2019 JOINT REP MULT
   AfDB AsDB EBRD IADB, 2019, CREAT LIV CIT REG PE
   AIIB, 2019, MDBS UN RAIS ANN GLO
   *AIIB, 2015, ART AGR
   Andersen H.T., 2013, PRODUCTION USE URBAN
   Angelo H, 2020, URBAN STUD, V57, P2201, DOI 10.1177/0042098020919081
   [Anonymous], 2021, [No title captured]
   [Anonymous], 2018, Implementing the EBRD Green Economy Transition. Technical Guide for Consultants: Reporting on Projects Performance against the Green Economy Transition (GET).Approach A summary of the EBRD GET manual prepared by the Climate Policy Initiative
   [Anonymous], 2010, CITIES CLIMATE CHANG
   [Anonymous], 2014, Climate Change at the IDB: Building Resilience and Reducing Emissions
   [Anonymous], 1996, Agreement Establishing the Inter-American Development Bank
   [Anonymous], 2020, Publication Stock No. WPS200283-2
   Artmann M, 2019, ECOL INDIC, V96, P10, DOI 10.1016/j.ecolind.2017.07.001
   AsDB, 2017, CLIM CHANG OP FRAM 2
   AsDB, 2013, BUILDING RESILIENCE
   Ayers J, 2014, CLIM DEV, V6, P293, DOI 10.1080/17565529.2014.977761
   Azunre GA, 2019, CITIES, V93, P104, DOI 10.1016/j.cities.2019.04.006
   Babb Sarah., 2009, DEV BANKS WASHINGTON
   Bagozzi BE, 2015, REV INT ORGAN, V10, P439, DOI 10.1007/s11558-014-9211-7
   Bailer S, 2015, REV INT ORGAN, V10, P43, DOI 10.1007/s11558-014-9198-0
   Barnard S, 2015, Climate finance for cities: how can international climate funds best support low-carbon and climate resilient urban development
   Bazbauers A.R., 2020, RETHINKING MULTILATE
   Bazbauers A.R., 2018, WORLD BANK TRANSFERR
   Bazbauers A, 2016, GLOBAL GOV, V22, P409, DOI 10.1163/19426720-02203007
   Bazbauers AR, 2020, POLICY STUD-UK, V41, P567, DOI 10.1080/01442872.2019.1581156
   Bazbauers AR, 2021, ROUT EXPLOR DEV STUD, P1, DOI 10.4324/9781003007128
   Beatley T., 2014, GREEN CITIES EUROPE, DOI 10.5822/978-1-61091-175-7
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Bigger P, 2021, ANN AM ASSOC GEOGR, V111, P36, DOI 10.1080/24694452.2020.1749023
   Bonilla M., 2017, CHALLENGE FINANCING
   Bouskela M., SHAPING SMART CITIES
   Breuste J.H., 2020, MAKING GREEN CITIES
   Brundtland GH., 1987, OUR COMM FUT, V4, P17
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   C40 Cities, 2018, DEADL 2020
   Christopher M., 2012, DISPLACED HUMAN COST
   Clapp Jennifer., 2005, Paths to a Green World: The Political Economy of the Global Environment
   Climate Action Tracker, 2020, GLOB UPD PAR AGR TUR
   Cloutier Scott, 2014, Environment Development and Sustainability, V16, P633, DOI 10.1007/s10668-013-9499-0
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   de Jong M, 2015, J CLEAN PROD, V109, P25, DOI 10.1016/j.jclepro.2015.02.004
   Derickson KD, 2018, PROG HUM GEOG, V42, P425, DOI 10.1177/0309132516686012
   DiMaggio P., 1991, The New Institutionalism in Organizational Analysi
   DiMaggio PJ, 2000, ADV STRATEG MANAGE, V 17, P143, DOI 10.2307/2095101
   Dubash NK, 2012, J ENVIRON DEV, V21, P48, DOI 10.1177/1070496511435550
   Engen Lars., 2018, A Guide to Multilateral Development Banks, V2018
   Fankhauser S, 2016, CLIM DEV, V8, P203, DOI 10.1080/17565529.2015.1064811
   Finnemore M, 1998, INT ORGAN, V52, P887, DOI 10.1162/002081898550789
   Finnemore Martha., 2001, Annual Review of Political Science, V4, P391
   Ford James., 2008, International Public Policy Review, V3, P5
   Gabler K., 2015, GLOBAL SUSTAINABILIT, P63
   Garcia-Lamarca M, 2021, URBAN STUD, V58, P90, DOI 10.1177/0042098019885330
   George S., 1994, FAITH CREDIT WORLD B
   Goldman M., 2001, Ethnography, V2, P191, DOI 10.1177/14661380122230894
   Gordon DJ, 2013, CANADIAN FOREIGN POL, V19, P288, DOI 10.1080/11926422.2013.844186
   Grindle MS, 2004, GOVERNANCE, V17, P525, DOI 10.1111/j.0952-1895.2004.00256.x
   Gupta J, 2010, WIRES CLIM CHANGE, V1, P636, DOI 10.1002/wcc.67
   Gutner T., 2002, BANKING ENV MULTILAT
   Hall N, 2015, GLOBAL ENVIRON POLIT, V15, P79, DOI 10.1162/GLEP_a_00299
   Hameiri S, 2018, INT AFF, V94, P573, DOI 10.1093/ia/iiy026
   Hegazy I, 2017, INT J LOW-CARBON TEC, V12, P358, DOI 10.1093/ijlct/ctx009
   Henstra D, 2012, J COMP POLICY ANAL, V14, P175, DOI 10.1080/13876988.2012.665215
   Herath D, 2017, J REFUG STUD, V30, P554, DOI 10.1093/jrs/few043
   Hermanson AS, 2018, MAR POLICY, V98, P301, DOI 10.1016/j.marpol.2018.09.025
   Hodson M, 2017, LOCAL ENVIRON, V22, P8, DOI 10.1080/13549839.2017.1306498
   Hodson M, 2012, EUR PLAN STUD, V20, P421, DOI 10.1080/09654313.2012.651804
   Humphrey C, 2017, REV INT ORGAN, V12, P281, DOI 10.1007/s11558-017-9271-6
   Humphrey C, 2016, J DEV STUD, V52, P92, DOI 10.1080/00220388.2015.1075978
   IADB, 2019, FRAM PRINC CLIM RES
   IADB OVE, 2016, EV IDBS EM SUST CIT
   IIHS, 2018, SUMM URB POL WHAT IP
   Jakob M, 2015, CLIM DEV, V7, P1, DOI 10.1080/17565529.2014.934768
   Keivani R, 2010, INT J URBAN SUSTAIN, V1, P5, DOI 10.1080/19463131003704213
   Keohane, 2020, WHAT NEXT 5 YEARS HO
   Kitchin R, 2014, GEOJOURNAL, V79, P1, DOI 10.1007/s10708-013-9516-8
   Lee T, 2019, J ENVIRON POL PLAN, V21, P104, DOI 10.1080/1523908X.2018.1433998
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Levenda AM, 2015, CAN J COMMUN, V40, P615
   Lipper L., 2018, Climate smart agriculture: building resilience to climate change, P13
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   Luque-Ayala A, 2015, URBAN STUD, V52, P2105, DOI 10.1177/0042098015577319
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Makuwira J., 2020, Rethinking multilateralism in foreign aid: Beyond the neoliberal hegemony, P113
   Marquardt J, 2017, J CLEAN PROD, V154, P167, DOI 10.1016/j.jclepro.2017.03.176
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   Matthew E.K., 2007, GREEN CITIES URBAN G
   McJeon H, 2014, NATURE, V514, P482, DOI 10.1038/nature13837
   Melica G, 2018, SUSTAIN CITIES SOC, V39, P729, DOI 10.1016/j.scs.2018.01.013
   Mendez A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030972
   Meyer SusanPark., 2006, International Politics, V43, P342
   Michonski Katherine, 2010, Harnessing International Institutions to Address Climate Change
   Moon K, 2016, ECOL SOC, V21, DOI 10.5751/ES-08663-210317
   Murphy D., 2020, FILLING GAP REV MULT
   Nawn N, 2015, J HUM DEV CAPABIL, V16, P625, DOI 10.1080/19452829.2015.1103713
   Nelson PJ, 1996, MILLENNIUM-J INT ST, V25, P605, DOI 10.1177/03058298960250030701
   Newell RG, 2014, ENVIRON SCI TECHNOL, V48, P8360, DOI 10.1021/es4046154
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   Oberthur S., 2016, INT SPECT, V51, P80, DOI DOI 10.1080/03932729.2016.1242256
   OECD, 2018, Building resilient cities
   Opschoor H, 2011, INT J SUST DEV WORLD, V18, P190, DOI 10.1080/13504509.2011.570800
   Park S, 2014, PAC REV, V27, P217, DOI 10.1080/09512748.2014.882394
   Peake S, 2017, CLIM POLICY, V17, P832, DOI 10.1080/14693062.2016.1258633
   Rauland V, 2015, GREEN ENERGY TECHNOL, P1, DOI 10.1007/978-3-319-15506-7
   Redclift M, 2005, SUSTAIN DEV, V13, P212, DOI 10.1002/sd.281
   Rich Bruce., 1994, MORTGAGING EARTH WOR, DOI 10.4324/9781315070544
   Sarfaty GA, 2005, YALE LAW J, V114, P1791
   Scott WR, 2014, MANAGEMENT, V17, P136, DOI 10.3917/mana.172.0136
   Sharma A, 2017, CLIM POLICY, V17, P33, DOI 10.1080/14693062.2016.1213697
   Shelepov A, 2017, VESTN MEZHDUNARODNYK, V12, P127, DOI 10.17323/1996-7845-2017-01-127
   Shen Z, 2018, STRAT SUSTAIN, P1, DOI 10.1007/978-3-319-70025-0
   Silva BN, 2018, SUSTAIN CITIES SOC, V38, P697, DOI 10.1016/j.scs.2018.01.053
   Sullivan R, 2013, CLIM POLICY, V13, P514, DOI 10.1080/14693062.2012.745113
   Taylor D, 2010, BIODIVERS CONSERV, V19, P1025, DOI 10.1007/s10531-009-9756-6
   Trundle A, 2020, CITIES, V97, DOI 10.1016/j.cities.2019.102496
   UNFCCC, 2020, INTR CLIM FIN
   United Nations, Sustainable Development Goals
   United Nations, 2021, SDG 11 SUST CIT HUM
   Vanderheiden S, 2015, INT SPECT, V50, P31, DOI 10.1080/03932729.2015.985523
   Watrobski J, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080702
   Weikmans Romain, 2019, Climate and Development, V11, P97, DOI 10.1080/17565529.2017.1410087
   Wihtol Robert., 2014, Whither Multilateral Development Finance?
   Wolfram M, 2019, J ENVIRON POL PLAN, V21, P1, DOI 10.1080/1523908X.2018.1558848
   Yigitcanlar T, 2019, SUSTAIN CITIES SOC, V45, P348, DOI 10.1016/j.scs.2018.11.033
   Young Z., 2002, A new green order?: The world Bann and tho politics of the Gloeal Environment Facility
NR 126
TC 10
Z9 10
U1 6
U2 57
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD SEP 14
PY 2022
VL 14
IS 8
BP 689
EP 704
DI 10.1080/17565529.2021.1974331
EA SEP 2021
PG 16
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 4Q0OX
UT WOS:000695451900001
DA 2025-04-22
ER

PT J
AU Yao, Y
   Liang, L
   Zhang, YT
   Wang, YJ
   Hu, ZH
   Fan, YP
   Guan, QF
   Jiang, RH
   Shibasaki, R
AF Yao, Yao
   Liang, Lin
   Zhang, Yatao
   Wang, Yujia
   Hu, Zhihui
   Fan, Yunpeng
   Guan, Qingfeng
   Jiang, Renhe
   Shibasaki, Ryosuke
TI Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall
   Events Using Massive Individual Trajectory Data
SO ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
LA English
DT Article
DE extreme rainfall; human mobility; resilience patterns; trajectory data;
   urban agglomeration
ID URBAN; DISASTERS
AB Understanding human mobility's resilience during extreme rainfall is paramount for enhancing disaster response and urban resilience. Most studies, however, have overlooked the complexity of resilience patterns across scales, missing out on the varied spatial anomalies and their underlying causes. To bridge this gap, we propose a framework using massive individual trajectory data to dissect resilience patterns of human mobility across scales. By leveraging a dynamic network model, we quantify human mobility flows and employ resilience curves to determine resilience patterns at urban-agglomeration and regional scales. Our study, centering on the extreme rainfall from Typhoon Mawar, covers Osaka and Nagoya in Japan. The findings reveal a marked reduction in human movement, although the structure of mobility networks remains relatively unchanged. Based on the quadrant distribution of inflows and outflows, we reveal that the ratio of abnormal to normal resilience patterns in human mobility stands at approximately 3:2, a consistency maintained across both scales. Interestingly, abnormal resilience patterns are intricately linked to local geographical settings of the built environment, revealing disparities based on income, gender, and age. These insights are invaluable for policymakers to improve postdisaster recovery efforts and guide future urban infrastructure development toward greater resilience.
C1 [Yao, Yao; Liang, Lin; Wang, Yujia; Hu, Zhihui; Fan, Yunpeng; Guan, Qingfeng] China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China.
   [Yao, Yao; Jiang, Renhe] Univ Tokyo, Ctr Spatial Informat Sci, Tokyo, Japan.
   [Zhang, Yatao] Swiss Fed Inst Technol, Singapore ETH Ctr, Future Resilient Syst, Singapore City, Singapore.
   [Shibasaki, Ryosuke] Univ Tokyo, Interfac Initiat Informat Studies, Tokyo, Japan.
   [Shibasaki, Ryosuke] Univ Tokyo, Grad Sch Interdisciplinary Informat Studies, Tokyo, Japan.
C3 China University of Geosciences; University of Tokyo; University of
   Tokyo; University of Tokyo
RP Zhang, YT (corresponding author), Swiss Fed Inst Technol, Singapore ETH Ctr, Future Resilient Syst, Singapore City, Singapore.
EM yatzhang@ethz.ch
RI Guan, Qingfeng/AAB-2841-2021; Yao, Yao/L-7252-2018; hu,
   zhihui/LFT-2127-2024; Jiang, Renhe/AAU-3856-2020
OI Zhang, Yatao/0000-0001-5701-2836; Guan, Qingfeng/0000-0002-7392-3709;
   Yao, Yao/0000-0002-2830-0377
FU National Natural Science Foundation of China [42471491, 42171466];
   National Key Research and Development Program of China [2023YFB3906803];
   Key Laboratory of Earth Surface System and Human-Earth Relations,
   Ministry of Natural Resources of China [LBXT2023YB03]; CUG Scholar
   Scientific Research Funds at China University of Geosciences (Wuhan)
   [2022034]; Project Grant from the Co-creation Center for Disaster
   Resilience, IRIDeS, Tohoku University [2-QR001]; National Research
   Foundation (NRF) Singapore under its Campus for Research Excellence and
   Technological Enterprise (CREATE) program
FX This work was supported by the National Natural Science Foundation of
   China (42471491, 42171466), the National Key Research and Development
   Program of China (2023YFB3906803), the Key Laboratory of Earth Surface
   System and Human-Earth Relations, Ministry of Natural Resources of China
   (LBXT2023YB03), and the "CUG Scholar" Scientific Research Funds at China
   University of Geosciences (Wuhan; 2022034). This work was partly
   supported by the Project Grant from the Co-creation Center for Disaster
   Resilience, IRIDeS, Tohoku University (ID:2-QR001). The research was
   partially conducted at the Future Resilient Systems program at the
   Singapore-ETH Centre, supported by the National Research Foundation
   (NRF) Singapore under its Campus for Research Excellence and
   Technological Enterprise (CREATE) program
CR Barrett CB, 2021, WORLD DEV, V146, DOI 10.1016/j.worlddev.2021.105612
   Batty Michael, 2013, Dialogues Hum Geogr, V3, P274, DOI 10.1177/2043820613513390
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Duan XQ, 2023, INT J DIGIT EARTH, V16, P4044, DOI 10.1080/17538947.2023.2261769
   [方创琳 Fang Chuanglin], 2018, [地理学报, Acta Geographica Sinica], V73, P651
   Gong LS, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9040241
   Guo K, 2022, APPL INTELL, V52, P1238, DOI 10.1007/s10489-020-02052-0
   Hallegatte S., 2016, Unbreakable: Building the Resilience of the Poor in the Face of Natural Disasters. Climate Change and Development
   Haraguchi M, 2022, ENVIRON PLAN B-URBAN, V49, P1507, DOI 10.1177/23998083221075634
   Hino M, 2021, NATURE, V595, P27, DOI 10.1038/d41586-021-01750-0
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Hossain E, 2021, APPL ENERG, V290, DOI 10.1016/j.apenergy.2021.116709
   Jia XL, 2019, ENVIRON POLLUT, V250, P601, DOI 10.1016/j.envpol.2019.04.047
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Kraemer MUG, 2020, NAT HUM BEHAV, V4, P800, DOI 10.1038/s41562-020-0875-0
   Kryvasheyeu Y, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500779
   Li Zhengzhao, 2022, Journal of Tsinghua University (Science and Technology), V62, P266, DOI 10.16511/j.cnki.qhdxxb.2021.22.037
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Linkov I, 2020, MANAG RES REV, V43, P1461, DOI 10.1108/MRR-08-2019-0353
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mehrabi Z, 2022, ONE EARTH, V5, P756, DOI 10.1016/j.oneear.2022.06.008
   Panteli M, 2017, IEEE T POWER SYST, V32, P4732, DOI 10.1109/TPWRS.2017.2664141
   Perera ATD, 2023, RENEW SUST ENERG REV, V173, DOI 10.1016/j.rser.2022.113038
   Petraroli I, 2022, INT J DISAST RISK RE, V70, DOI 10.1016/j.ijdrr.2021.102767
   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
   Reichstein M, 2021, NATURE, V592, P347, DOI 10.1038/d41586-021-00927-x
   Rentschler J, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30727-4
   Ronco M, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-43809-8
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Santana C, 2023, NAT HUM BEHAV, V7, P1729, DOI 10.1038/s41562-023-01660-3
   Sarker MNI, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101769
   Scott D, 2024, J SUSTAIN TOUR, V32, P1725, DOI 10.1080/09669582.2023.2195597
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Shi HY, 2023, SCI TOTAL ENVIRON, V857, DOI 10.1016/j.scitotenv.2022.159636
   Smiley KT, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31056-2
   Tang JQ, 2023, NATL SCI REV, V10, DOI 10.1093/nsr/nwad097
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   United Nations, 2018, WORLD URBANIZATION P
   Yao Y, 2023, CITIES, V138, DOI 10.1016/j.cities.2023.104361
   Yao Y, 2017, INT J GEOGR INF SCI, V31, P825, DOI 10.1080/13658816.2016.1244608
   Yu MZ, 2024, SCI TOTAL ENVIRON, V926, DOI 10.1016/j.scitotenv.2024.171853
   Yuan JF, 2018, J CLEAN PROD, V198, P940, DOI 10.1016/j.jclepro.2018.07.109
   Zhang FC, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101671
   Zhang XY, 2022, INT J DISAST RISK RE, V72, DOI 10.1016/j.ijdrr.2022.102849
   Zhang YT, 2024, SUSTAIN CITIES SOC, V114, DOI 10.1016/j.scs.2024.105739
NR 48
TC 0
Z9 0
U1 15
U2 15
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 MAR 16
PY 2025
VL 115
IS 3
BP 578
EP 602
DI 10.1080/24694452.2024.2435927
EA DEC 2024
PG 25
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA Z7O5Y
UT WOS:001388682000001
OA hybrid
DA 2025-04-22
ER

PT J
AU Li, YF
   Lin, JY
   Li, Y
   Nyerges, T
AF Li, Yangfan
   Lin, Jingyu
   Li, Yi
   Nyerges, Timothy
TI Developing a resilience assessment framework for the Urban Land-Water
   System
SO LAND DEGRADATION & DEVELOPMENT
LA English
DT Article
DE impervious surface area; resilience assessment; Urban Land-Water System;
   water quality; water quantity
ID IMPERVIOUS SURFACE; ADAPTIVE CAPACITY; URBANIZATION; LANDSCAPE;
   DYNAMICS; IMPACT; MODEL
AB Coastal areas of China have experienced rapid land development accompanied by an increase of impervious surface area often, leading to considerable environmental degradation, particularly for water quantity and quality. This land-water interaction within an urban milieu, called an Urban Land-Water System, involves critical ecosystem function loss and undesirable resilience change. With the purpose of identifying changes in spatial-temporal resilience of an Urban Land-Water System, we formulated an innovative quantitative method for resilience assessment based on the concept of critical functionality and Hooke's Law. The resilience assessment method contextualizes critical functionality of complex systems by integrating subsystems of impervious surface area with subsystems of water quantity and water quality. The method was applied in a study area named Lianyungang, whereby we compared different contributions of three subsystems within two scenarios, Scenario a (one-fourth of impervious surface area, one-half of water quantity, and one-fourth of water quality) and Scenario b (one-third for each subsystem). Overall, resilience degrades for the Urban Land-Water System from 2005 to 2010 to a relatively lower state with significantly increasing areas (from 62.88 to 281.50 km(2)) of low-value resilience. Impervious surface area and water quantity were the main contributors to resilience change. In particular, the loss of resilience within Lianyungang was mostly due to the loss of evapotranspiration and increased built-up land in both urban and rural areas. The resilience assessment method developed herein identifies areas of significant influences on nested and overlapping resilience change, thereby offering a practical approach for identifying hotspots for managing balances between different spatial-temporal subsystems.
C1 [Li, Yangfan; Lin, Jingyu; Li, Yi] Xiamen Univ, Coll Environm & Ecol, Minist Educ, Key Lab Coastal & Wetland Ecosyst, Xiamen 361102, Fujian, Peoples R China.
   [Li, Yangfan; Li, Yi] Xiamen Univ, Fujian Prov Key Lab Coastal Ecol & Environm Studi, Xiamen 361102, Fujian, Peoples R China.
   [Nyerges, Timothy] Univ Washington, Dept Geog, Seattle, WA 98195 USA.
C3 Xiamen University; Xiamen University; University of Washington;
   University of Washington Seattle
RP Li, Y (corresponding author), Xiamen Univ, Coll Environm & Ecol, Minist Educ, Key Lab Coastal & Wetland Ecosyst, Xiamen 361102, Fujian, Peoples R China.
EM yili@xmu.edu.cn
RI LI, Yangfan/AAD-9857-2022; LIN, JINGYU/LRT-6465-2024
OI Li, Yangfan/0000-0002-5419-7051; , Jingyu/0000-0002-1194-6219; Li,
   Yi/0000-0002-7871-5351
FU National Natural Science Foundation of China [41671084]; China
   Postdoctoral Science Foundation [2018T110646]
FX National Natural Science Foundation of China, Grant/Award Number:
   41671084; China Postdoctoral Science Foundation, Grant/Award Number:
   2018T110646
CR [Anonymous], 2001, PANARCHY UNDERSTANDI
   [Anonymous], 2014, ArcGIS Desktop Help 10.2 - GIS Dictionary
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Bierwagen BG, 2010, P NATL ACAD SCI USA, V107, P20887, DOI 10.1073/pnas.1002096107
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Endfield GH, 2012, P NATL ACAD SCI USA, V109, P3676, DOI 10.1073/pnas.1114831109
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   FALKENMARK M, 1989, NAT RESOUR FORUM, V13, P258, DOI 10.1111/j.1477-8947.1989.tb00348.x
   Gessesse B, 2015, LAND DEGRAD DEV, V26, P711, DOI 10.1002/ldr.2276
   Gitau MW, 2016, WATER RESOUR MANAG, V30, P2591, DOI 10.1007/s11269-016-1311-0
   Hemati A, 2016, ENVIRON SCI TECHNOL, V50, P12557, DOI 10.1021/acs.est.6b02938
   Hering JG, 2013, ENVIRON SCI TECHNOL, V47, P10721, DOI 10.1021/es4007096
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kalantari Z, 2017, LAND DEGRAD DEV, V28, P2207, DOI 10.1002/ldr.2747
   Kerkez B, 2016, ENVIRON SCI TECHNOL, V50, P7267, DOI 10.1021/acs.est.5b05870
   Lafortezza Raffaele, 2018, Environ Res, V165, P431, DOI 10.1016/j.envres.2017.11.038
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Li YF, 2014, ECOL INDIC, V42, P135, DOI 10.1016/j.ecolind.2013.09.032
   Li Y, 2016, SCI TOTAL ENVIRON, V569, P168, DOI 10.1016/j.scitotenv.2016.06.110
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Liu DD, 2012, WATER RESOUR MANAG, V26, P3743, DOI 10.1007/s11269-012-0100-7
   Lu DS, 2006, REMOTE SENS ENVIRON, V102, P146, DOI 10.1016/j.rse.2006.02.010
   Lu DS, 2011, ISPRS J PHOTOGRAMM, V66, P798, DOI 10.1016/j.isprsjprs.2011.08.004
   Machowski R, 2016, LAND DEGRAD DEV, V27, P1740, DOI 10.1002/ldr.2475
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   Mao DH, 2018, LAND DEGRAD DEV, V29, P2644, DOI 10.1002/ldr.2939
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller JD, 2014, J HYDROL, V515, P59, DOI 10.1016/j.jhydrol.2014.04.011
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nyerges T, 2016, SUSTAIN CITIES SOC, V25, P13, DOI 10.1016/j.scs.2016.04.016
   Nyerges T, 2014, INT J GEOGR INF SCI, V28, P1165, DOI 10.1080/13658816.2013.853304
   Pekel JF, 2016, NATURE, V540, P418, DOI 10.1038/nature20584
   Petroski H., 1996, INVENTION DESIGN ENG
   RIDD MK, 1995, INT J REMOTE SENS, V16, P2165, DOI 10.1080/01431169508954549
   Tran QK, 2016, ENVIRON SCI TECHNOL, V50, P9390, DOI 10.1021/acs.est.6b02073
   Walker B., 2012, RESILIENCE PRACTICE
   Weng QH, 2012, REMOTE SENS ENVIRON, V117, P34, DOI 10.1016/j.rse.2011.02.030
   World Health Organization (WHO), 2016, URBAN GREEN SPACES H
   Wu ZT, 2014, ENVIRON SCI TECHNOL, V48, P12108, DOI 10.1021/es502408n
   Zhu JJ, 2017, WATER RES, V111, P1, DOI 10.1016/j.watres.2016.12.026
NR 40
TC 14
Z9 14
U1 7
U2 95
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 MAY 30
PY 2019
VL 30
IS 9
BP 1107
EP 1120
DI 10.1002/ldr.3297
PG 14
WC Environmental Sciences; Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Agriculture
GA IC4JS
UT WOS:000470932100008
DA 2025-04-22
ER

PT J
AU Xiang, HX
   Heng, X
   Zhai, BL
   Yang, LC
AF Xiang, Hongxun
   Heng, Xia
   Zhai, Boleng
   Yang, Lichen
TI Digital and Culture: Towards More Resilient Urban Community Governance
SO LAND
LA English
DT Article
DE urban communities; community resilience; digital resilience; cultural
   resilience
ID ANALYTIC HIERARCHY PROCESS; FRAMEWORK; DECISION; SYSTEMS; MODEL
AB Urban communities are characterized by significant population size, high density, and strong mobility. While we might enjoy the dividends of rapid modernization, there are nonetheless variable and frequent public crises that occur. Modernization's problems are gradually emerging, and the traditional risk prevention logic that relies on administrative "rigidity" has begun to be widely challenged. Traditional urban communities depend on institutional, structural, and spatial aspects to improve community resilience. Because big data has become popular, attention has begun to be paid to digital empowerment and community resilience. However, the emergence of problems such as "digital paradox" and "digital ethics" in the digital realm itself has prompted calls for cultural resilience to continue to rise. Therefore, urgently needed resolutions are required to questions regarding the resilience of traditional communities, the construction of digital and cultural resilience, the relationship between digital and cultural resilience, and the manner in which cultural resilience is coordinated to solve the problem of digital resilience. A quantitative analysis of 350 questionnaires from five urban communities found that these communities' institutional, spatial, and structural dimensions are the driving factors for improving resilience. In contrast, the cultural and digital dimensions are constraints. Therefore, the question of how to coordinate the cultural and digital factors represented by traditional and modern societies in order to compensate for the shortcomings in resilience construction is that which future urban communities must consider. The authors of this study believe that digital empowerment is needed to open up the "first mile" of resilient communities, that cultural empowerment is required to break down the "blocks in the middle" of resilient communities, and that digital and cultural coupling is needed to link the "last mile" of resilient communities. One must use culture to compensate for the shortcomings of digital resilience and digital to pay for the failures of cultural resilience before one can move towards more resilient urban community governance.
C1 [Xiang, Hongxun; Heng, Xia; Zhai, Boleng; Yang, Lichen] Sichuan Univ, Sch Publ Adm, Chengdu 610065, Peoples R China.
C3 Sichuan University
RP Xiang, HX (corresponding author), Sichuan Univ, Sch Publ Adm, Chengdu 610065, Peoples R China.
EM xianghx@stu.scu.edu.cn; xiaheng@stu.scu.edu.cn;
   bolengzhai@stu.scu.edu.cn; lichenyang@stu.scu.edu.cn
RI Xiang, HongXun/KBP-8784-2024
FU Major Project of the National Social Science Fund "Research on the
   Effectiveness of Urban and Rural Community Governance and Service System
   Construction under the Orientation of 'High Quality' [21ZDA110]; APC
   [21ZDA110]
FX This research was funded by Major Project of the National Social Science
   Fund "Research on the Effectiveness of Urban and Rural Community
   Governance and Service System Construction under the Orientation of
   'High Quality'", grant number 21ZDA110. The APC was funded by 21ZDA110.
CR Abunyewah M, 2023, INT J DISAST RISK RE, V94, DOI 10.1016/j.ijdrr.2023.103790
   Acevedo N, 2023, URBAN EDUC, V58, P1470, DOI 10.1177/00420859211016531
   Aghababaei M, 2023, COMPUT-AIDED CIV INF, V38, P920, DOI 10.1111/mice.12916
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Anthony B, 2024, J KNOWL ECON, V15, P1592, DOI 10.1007/s13132-023-01176-1
   Arbon P, 2014, AUST J EMERG MANAG, V29, P12
   Bartscht J, 2015, KYBERNETES, V44, P253, DOI 10.1108/K-09-2014-0189
   Beck U., 1992, Economic Geography, V69, DOI DOI 10.2307/143601
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cai S.M., 2022, J. Nantong Univ. (Soc. Sci. Ed.), V38, P79, DOI [10.3969/j.issn.1674-6627.2021.03.016, DOI 10.3969/J.ISSN.1674-6627.2021.03.016]
   Chen CW, 2023, HEALTH POLICY TECHN, V12, DOI 10.1016/j.hlpt.2023.100755
   Chen H.R., 2023, Urban Plan. Shanghai, V1, P25
   Clark-Ginsberg A, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101714
   Cramer KM, 2023, CURR RES ECOL SOC PS, V4, DOI 10.1016/j.cresp.2023.100101
   Cui P., 2018, Mod. Urban Res, V11, P119, DOI [10.3969/j.issn.1009-6000.2018.11.019, DOI 10.3969/J.ISSN.1009-6000.2018.11.019]
   Davydov DM, 2010, CLIN PSYCHOL REV, V30, P479, DOI 10.1016/j.cpr.2010.03.003
   Dawes SS, 2004, SOC SCI COMPUT REV, V22, P52, DOI 10.1177/0894439303259887
   Deng XS, 2023, AM J COMMUN PSYCHOL, V71, P166, DOI 10.1002/ajcp.12605
   Du X.Y., 2024, J. Xian Jiaotong Univ. (Soc. Sci.), V1, P1
   Fabregue BFG, 2023, SMART CITIES-BASEL, V6, P586, DOI 10.3390/smartcities6010027
   Falk A, 2023, MANAGE SCI, V69, P1935, DOI 10.1287/mnsc.2022.4455
   Fu X.Q., 2023, Frontiers, V20, P13, DOI [10.16619/j.cnki.rmltxsqy.2023.20.002, DOI 10.16619/J.CNKI.RMLTXSQY.2023.20.002]
   Gao S.E., 2016, Chin. Public Adm, V6, P105, DOI [10.3782/j.issn.1006-0863.2016.11.18, DOI 10.3782/J.ISSN.1006-0863.2016.11.18]
   Gerges F, 2022, NAT HAZARDS, V111, P1271, DOI 10.1007/s11069-021-05094-w
   Gibson M, 2021, MED J AUSTRALIA, V214, P514, DOI 10.5694/mja2.51084
   Giuliodori A, 2023, BRQ-BUS RES Q, V26, P27, DOI 10.1177/23409444221091281
   Gu EW, 2020, J CHIN GOV, V5, P160, DOI 10.1080/23812346.2020.1740468
   Harahap M.A.K., 2023, Jurnal Minfo Polgan, V12, P371
   Hashem IAT, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15053916
   Heng X., 2023, Adm. Trib, V30, P118, DOI DOI 10.16637/J.CNKI.23-1360/D.2023.01.002
   Herdiansyah H, 2023, GLOB J ENVIRON SCI M, V9, P113, DOI 10.22034/gjesm.2023.01.09
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu Q, 2021, J URBAN AFF, V43, P504, DOI 10.1080/07352166.2019.1694413
   Joshi A., 2015, BRIT J APPL SCI TECH, V7, P396, DOI [10.9734/BJAST/2015/14975, https://doi.org/10.9734/BJAST/2015/14975]
   Keith M, 2023, NAT SUSTAIN, V6, P115, DOI 10.1038/s41893-022-00979-5
   Lai CS, 2020, CLEAN TECHNOL-BASEL, V2, P290, DOI 10.3390/cleantechnol2030019
   Leutert W, 2021, CHINA QUART, V248, P200, DOI 10.1017/S0305741021000795
   [梁晗业 Liang Hanye], 2017, [中药药理与临床, Pharmacology and Clinics of Chinese Materia Medica], V33, P38
   Liao M., 2018, CHINESE PUBLIC ADM, V33, P57, DOI DOI 10.3782/J.ISSN.1006-0863.2018.04.09
   Liu JJW, 2017, PERS INDIV DIFFER, V111, P111, DOI 10.1016/j.paid.2017.02.007
   Liu YL, 2022, TOUR MANAG PERSPECT, V43, DOI 10.1016/j.tmp.2022.100994
   Luo Q.Q., 2022, Urban Probl, V05, P86, DOI [10.13239/j.bjsshkxy.cswt.220509, DOI 10.13239/J.BJSSHKXY.CSWT.220509]
   Majumder S, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104692
   Nijkamp P, 2024, EURASIAN GEOGR ECON, V65, P1, DOI 10.1080/15387216.2022.2112254
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Pan W, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2961
   Peng Y, 2023, INT J DISAST RISK RE, V84, DOI 10.1016/j.ijdrr.2022.103468
   Phillips RJ, 2024, COMMUNITY DEV, V55, P174, DOI 10.1080/15575330.2023.2225088
   Rabinovich A, 2019, J ENVIRON PSYCHOL, V66, DOI 10.1016/j.jenvp.2019.101365
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   SAATY TL, 1994, INTERFACES, V24, P19, DOI 10.1287/inte.24.6.19
   Sahoo KC, 2023, GLOBAL HEALTH ACTION, V16, DOI 10.1080/16549716.2022.2133723
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Salas J, 2018, J CLEAN PROD, V179, P544, DOI 10.1016/j.jclepro.2018.01.088
   Shehadeh M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032077
   Shi Q, 2023, SUSTAIN CITIES SOC, V95, DOI 10.1016/j.scs.2023.104578
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Tim YN, 2021, INFORM SYST J, V31, P323, DOI 10.1111/isj.12312
   Toyoda Y, 2021, ASIA-PAC J REG SCI, V5, P705, DOI 10.1007/s41685-021-00202-x
   Vaidya OS, 2006, EUR J OPER RES, V169, P1, DOI 10.1016/j.ejor.2004.04.028
   Wang C., 2023, Probe, V6, P67, DOI [10.16501/j.cnki.50-1019/d.2023.06.008, DOI 10.16501/J.CNKI.50-1019/D.2023.06.008]
   Wang L., 2020, Planners, V36, P6, DOI [10.3969/j.issn.1006-0022.2020.06.021, DOI 10.3969/J.ISSN.1006-0022.2020.06.021]
   WEINBERG BH, 1974, INFORM STORAGE RET, V10, P189, DOI 10.1016/0020-0271(74)90058-8
   Wu XH, 2023, J RURAL STUD, V97, P303, DOI 10.1016/j.jrurstud.2022.12.001
   Xiang HX, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032395
   Xiong MZ, 2023, FINANC RES LETT, V58, DOI 10.1016/j.frl.2023.104500
   Xu F., 2023, Soc. Sci. Yunnan, V2, P161, DOI [10.3969/j.issn.1000-8691.2023.02.018, DOI 10.3969/J.ISSN.1000-8691.2023.02.018]
   Xu X.G., 2021, J. Hohai Univ. (Philos. Soc. Sci.), V23, P68, DOI [10.3876/j.issn.1671-4970.2021.04.010, DOI 10.3876/J.ISSN.1671-4970.2021.04.010]
   Zadeh L. A., 1978, Fuzzy Sets and Systems, V1, P3, DOI 10.1016/0165-0114(78)90029-5
   Zhang LW, 2022, Soci Policy Res, V28, P94, DOI [10.19506/j.cnki.cn10-1428/d.2022.03.005, DOI 10.19506/J.CNKI.CN10-1428/D.2022.03.005]
   Zhang Q., 2022, Tribune Study, V6, P76
   Zhang XJ, 2023, INT J DISAST RISK RE, V84, DOI 10.1016/j.ijdrr.2022.103396
   Zhao X, 2023, SOC INDIC RES, V166, P239, DOI 10.1007/s11205-022-03057-7
   Zhen Z.Y., 2022, J. Soc. Sci, V9, P159, DOI [10.13644/j.cnki.cn31-1112.2022.09.007, DOI 10.13644/J.CNKI.CN31-1112.2022.09.007]
   Zhu Z.W., 2024, Acad. Bimest, V2, P130, DOI [10.16091/j.cnki.cn32-1308/c.2024.02.002, DOI 10.16091/J.CNKI.CN32-1308/C.2024.02.002]
   Zhu Z.W., 2023, J. Guangzhou Univ. (Soc. Sci. Ed.), V22, P139, DOI [10.3969/j.issn.1671-394X.2023.04.017, DOI 10.3969/J.ISSN.1671-394X.2023.04.017]
   Zuo J, 2024, LAND-BASEL, V13, DOI 10.3390/land13020164
NR 79
TC 3
Z9 3
U1 36
U2 57
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUN
PY 2024
VL 13
IS 6
AR 758
DI 10.3390/land13060758
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WO5Y2
UT WOS:001255842600001
OA gold
DA 2025-04-22
ER

PT J
AU Dui, H
   Zhu, YW
   Tao, JY
AF Dui, Hongyan
   Zhu, Yawen
   Tao, Junyong
TI Multi-phased resilience methodology of urban sewage treatment network
   based on the phase and node recovery importance in IoT
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Resilience quantification; Importance; Failure-recovery; Sewage
   treatment networks
ID SEISMIC RESILIENCE
AB As an important part of resilience city, the urban sewage system has an important impact on the normal operation of the city. However, the majority of recent studies concentrate on a single phase, and multi-phased resilience has not been thoroughly studied. This paper analyzes the multi-phased resilience of the urban sewage treatment system considering the phase performance characteristics. Firstly, the definition of an urban sewage network is given, and the three phases of drainage, treatment, and recycling are analyzed. Secondly, descriptive resilience and mathematical resilience, Residual Resilience, Center of Resilience and Resilience Variance are given to model and assess resilience in accordance with the features of the three phases. What's more, residual resilience model is enhanced in accordance with the failure process and recovery process. Especially for the recovery process, the importance measures are used to set the node recovery importance and phase recovery importance to determine the recovery priority. Finally, a case study in two situations is given to illustrate the practicality and effectiveness of the proposed methods.
C1 [Dui, Hongyan] Zhengzhou Univ, Sch Management, Zhengzhou 450001, Peoples R China.
   [Zhu, Yawen; Tao, Junyong] Natl Univ Def Technol, Coll Intelligence Sci & Technol, Lab Sci & Technol Integrated Logist Support, Changsha 410073, Peoples R China.
C3 Zhengzhou University; National University of Defense Technology - China
RP Tao, JY (corresponding author), Natl Univ Def Technol, Coll Intelligence Sci & Technol, Lab Sci & Technol Integrated Logist Support, Changsha 410073, Peoples R China.
EM taojunyong@nudt.edu.cn
OI Dui, Hongyan/0000-0002-2277-6454
FU National Natural Science Foundation of China [72071182]
FX The authors gratefully acknowledge the financial support for this
   research from the National Natural Science Foundation of China (No.
   72071182) .
CR Almoghathawi Y, 2019, COMPUT IND ENG, V133, P153, DOI 10.1016/j.cie.2019.05.001
   Arghandeh R, 2016, RENEW SUST ENERG REV, V58, P1060, DOI 10.1016/j.rser.2015.12.193
   Bellè A, 2023, RELIAB ENG SYST SAFE, V237, DOI 10.1016/j.ress.2023.109364
   Bonstrom H, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001213
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Cai BP, 2021, RELIAB ENG SYST SAFE, V209, DOI 10.1016/j.ress.2021.107464
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Decò A, 2013, EARTHQ ENG STRUCT D, V42, P1469, DOI 10.1002/eqe.2282
   Dong SJ, 2023, RELIAB ENG SYST SAFE, V232, DOI 10.1016/j.ress.2022.109071
   Dui H, 2024, IEEE Internet Things J, V1
   Dui H, 2023, IEEE INTERNET THINGS, V10, P21061, DOI 10.1109/JIOT.2023.3285206
   Dui H, 2023, RELIAB ENG SYST SAFE, V237, DOI 10.1016/j.ress.2023.109383
   Dui H, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108386
   Dui HY, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108255
   Dui HY, 2021, RELIAB ENG SYST SAFE, V209, DOI 10.1016/j.ress.2021.107461
   Dui HY, 2019, RELIAB ENG SYST SAFE, V186, P162, DOI 10.1016/j.ress.2019.02.021
   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
   Jiang QQ, 2023, RELIAB ENG SYST SAFE, V234, DOI 10.1016/j.ress.2023.109134
   Levitin G, 2003, RELIAB ENG SYST SAFE, V82, P287, DOI 10.1016/S0951-8320(03)00171-6
   Liu T, 2022, RELIAB ENG SYST SAFE, V226, DOI 10.1016/j.ress.2022.108663
   Liu W, 2020, RELIAB ENG SYST SAFE, V203, DOI 10.1016/j.ress.2020.107088
   Meng F, 2018, WATER RES, V143, P376, DOI 10.1016/j.watres.2018.06.048
   Mohebbi S, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102327
   Oliveira GA, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145609
   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
   Sweetapple C, 2022, WATER RES, V211, DOI 10.1016/j.watres.2022.118108
   Tan ZZ, 2023, RELIAB ENG SYST SAFE, V235, DOI 10.1016/j.ress.2023.109207
   Tornyeviadzi HM, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108217
   Wang XY, 2022, RELIAB ENG SYST SAFE, V217, DOI 10.1016/j.ress.2021.108098
   Wang ZR, 2023, RESOUR CONSERV RECY, V191, DOI 10.1016/j.resconrec.2023.106912
   Xu ZP, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106591
   Yu SY, 2023, LANDSCAPE URBAN PLAN, V230, DOI 10.1016/j.landurbplan.2022.104605
   Zeng ZG, 2021, RELIAB ENG SYST SAFE, V209, DOI 10.1016/j.ress.2021.107443
NR 35
TC 10
Z9 11
U1 17
U2 33
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 JUL
PY 2024
VL 247
AR 110130
DI 10.1016/j.ress.2024.110130
EA APR 2024
PG 17
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA RD4G8
UT WOS:001225713800001
DA 2025-04-22
ER

PT J
AU Yang, M
   Wang, JM
   Jing, ZR
   Liu, B
   Niu, HB
AF Yang, Man
   Wang, Jinman
   Jing, Zhaorui
   Liu, Biao
   Niu, Hebin
TI Evaluation and regulation of resource-based city resilience: Evidence
   from Shanxi Province, China
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban resilience; Resource-based city; Entropy weight method; Geographic
   detector; Driving force; Policy recommendations
ID URBAN RESILIENCE; CLIMATE-CHANGE; FRAMEWORK
AB With the continuous progress of global urbanization, urban resilience has been of great concern due to the impact of many risks. The single industrial structure and environmental pressure of resource-based cities (RBCs) make it an imminent need to strengthen their resilience. However, RBCs are less discussed in current resilience studies. Thus, this study attempts to evaluate the resilience of 10 RBCs in Shanxi Province of China from 2005 to 2019 and also to detect the dominant influencing factors of urban resilience and their interactions. In doing so, several modeling tools including entropy weight method, multi-factor comprehensive evaluation method and Geographic detector are employed to measure and review the changes of urban resilience in Shanxi and also to detect the development potentials for resource-based city resilience. It is found that the urban resilience in Shanxi has been on the rise from below 0.3 in 2005 to above 0.35 in 2019, with an overall upward trend, and there are obvious regional differences. The results of the Geographic detector indicate that the determinant power of influencing factor increases significantly after the interaction. And the top three dominant interaction clusters are market capacity boolean AND rationality of employment structure, facility completeness boolean AND land production efficiency, and internal economic dynamism boolean AND coordination of ecological development. It is recommended to accelerate industrial restructuring and high-quality urbanization, grasp infrastructure construction and ecological environmental protection, and coordinate in multiple dimensions in order to achieve a high degree of urban resilience.
C1 [Yang, Man; Wang, Jinman; Liu, Biao; Niu, Hebin] China Univ Geosci, Sch Land Sci & Technol, 29 Xueyuan Rd, Beijing 100083, Peoples R China.
   [Wang, Jinman] Minist Nat Resources, Technol Innovat Ctr Ecol Restorat Min Areas, Beijing 100083, Peoples R China.
   [Jing, Zhaorui] Shandong Agr Univ, Sch Resources & Environm, 61 Daizong St, Tai An 271018, Shandong, Peoples R China.
C3 China University of Geosciences; Ministry of Natural Resources of the
   People's Republic of China; Shandong Agricultural University
RP Wang, JM (corresponding author), China Univ Geosci, Sch Land Sci & Technol, 29 Xueyuan Rd, Beijing 100083, Peoples R China.
EM wangjinman@cugb.edu.cn
RI wang, jinman/H-8776-2019; Liu, Biao/JTV-0337-2023
OI Liu, Biao/0000-0001-5377-6871; Wang, Jinman/0000-0002-8140-997X
FU Inner Mongolia Science and Technology Major Project [2020ZD0020]
FX This research was financially supported by the Inner Mongolia Science
   and Technology Major Project (Grant 2020ZD0020).
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], RES ALL URBAN RESILI
   [Anonymous], 1986, A Hierarchical Concept of Ecosystems
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   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
   [董玉祥 Dong Yuxiang], 2017, [地理学报, Acta Geographica Sinica], V72, P135
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   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
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Hudec O, 2018, CITIES, V73, P24, DOI 10.1016/j.cities.2017.10.004
   Joerin J, 2012, ENVIRON HAZARDS-UK, V11, P226, DOI 10.1080/17477891.2012.689248
   Johansen C, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000329
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Korhonen J, 2015, ECOL ECON, V120, P83, DOI 10.1016/j.ecolecon.2015.09.006
   Li T., 2017, Urban Planning International, V32, P15, DOI [10.22217/upi.2015.284, DOI 10.22217/UPI.2015.284]
   Liu B, 2020, RESOUR POLICY, V68, DOI 10.1016/j.resourpol.2020.101739
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   [卢硕 Lu Shuo], 2020, [地理学报, Acta Geographica Sinica], V75, P2180
   [吕永龙 Lu Yonglong], 2019, [生态学报, Acta Ecologica Sinica], V39, P1125
   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
   [彭翀 Peng Chong], 2018, [地理研究, Geographical Research], V37, P1193
   Reiner M, 2017, SUSTAIN RESIL INFRAS, V2, P1, DOI 10.1080/23789689.2017.1278994
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   [宋冬林 Song Donglin], 2004, [中国工业经济, China Industrial Economy], V0, P58
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   Torvik R, 2009, OXFORD REV ECON POL, V25, P241, DOI 10.1093/oxrep/grp015
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Walker B, 2004, ECOL SOC, V9
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wang JF, 2010, INT J GEOGR INF SCI, V24, P107, DOI 10.1080/13658810802443457
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Woolf S, 2016, INT J DISAST RISK RE, V19, P280, DOI 10.1016/j.ijdrr.2016.08.003
   Wu Bohong, 2018, Science & Technology Review, V36, P94, DOI 10.3981/j.issn.1000-7857.2018.16.011
   Zhang MM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224442
   [赵瑞东 Zhao Ruidong], 2020, [地理科学进展, Progress in Geography], V39, P1717
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
   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]
NR 48
TC 17
Z9 17
U1 24
U2 129
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 15
PY 2022
VL 81
AR 103256
DI 10.1016/j.ijdrr.2022.103256
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 5W0DQ
UT WOS:000877592900013
DA 2025-04-22
ER

PT J
AU Zhang, WT
   Wu, JY
   Yun, YX
AF Zhang, Weitao
   Wu, Jiayu
   Yun, Yingxia
TI Strategies for increasing tsunami shelter accessibility to enhance
   hazard risk adaptive capacity in coastal port cities: a study of Nagoya
   city, Japan
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID LAND-USE CHANGE; CLIMATE-CHANGE; VULNERABILITY ASSESSMENT; URBAN
   MORPHOLOGY; RESILIENCE; FRAMEWORK; MODEL; ALLOCATION; REDUCTION;
   DISASTERS
AB Coastal areas face a significant risk of tsunami after a nearby heavy earthquake. Comprehensive coastal port cities often complicate and intensify this risk due to the high vulnerability of their communities and liabilities associated with secondary damage. Accessibility to tsunami shelters is a key measure of adaptive capacity in response to tsunami risks and should therefore be enhanced. This study integrates the hazards that create risk into two dimensions: hazard-product risk and hazard-affected risk. Specifically, the hazard-product risk measures the hazard occurrence probability, intensity, duration, and extension in a system. The hazard-affected risk measures the extent to which the system is affected by the hazard occurrence. This enables the study of specific strategies for responding to each kind of risk to enhance accessibility to tsunami shelters. Nagoya city in Japan served as the case study: the city is one of the most advanced tsunami-resilient port cities in the world. The spatial distribution of the hazard-product risk and hazard-affected risk was first visualized in 165 school district samples, covering 213 km(2) using a hot spot analysis. The results suggest that the rules governing the distribution of these two-dimensional (2-D) risks are significantly different. By refining the tsunami evacuation time-space routes, trafficlocation-related indicators, referring to three-scale traffic patterns with three-hierarchy traffic roads, are used as accessibility variables. Two-way multivariate analysis of variance (MANOVA) was used to analyse the differences in these accessibility variables to compare the 2-D risk. MANOVA was also used to assess the difference of accessibility between high-level risk and low-level risk in each risk dimension. The results show that tsunami shelter accessibility strategies, targeting hazard-product risk and hazard-affected risk, are significantly different in Nagoya. These different strategies are needed to adapt to the risk.
C1 [Zhang, Weitao; Yun, Yingxia] Tianjin Univ, Sch Architecture, Tianjin 300072, Peoples R China.
   [Wu, Jiayu] Zhejiang Univ, Coll Agr & Biotechnol, Hangzhou 310058, Zhejiang, Peoples R China.
   [Wu, Jiayu] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China.
C3 Tianjin University; Zhejiang University; Peking University
RP Zhang, WT; Yun, YX (corresponding author), Tianjin Univ, Sch Architecture, Tianjin 300072, Peoples R China.
EM zhangwt2015@outlook.com; yunyx@126.com
RI Wu, Jiayu/JFE-7136-2023
OI WU, JIAYU/0000-0002-7594-5207; Zhang, Weitao/0000-0001-5087-9971
FU Major Project of China National Social Science Fund (2013): Study on
   Comprehensive Disaster Prevention Measure and Safety Strategy of Coastal
   City Based on Intelligent Technology [13ZD162]
FX This study was funded by the Major Project of China National Social
   Science Fund (2013): Study on Comprehensive Disaster Prevention Measure
   and Safety Strategy of Coastal City Based on Intelligent Technology
   (13&ZD162). The authors thank the anonymous reviewers of this paper and
   the participants in the Study on Comprehensive Disaster Prevention
   Measure and Safety Strategy of Coastal City Based on Intelligent
   Technology for their ideas, input, and reviews.
CR Allan P, 2013, J URBAN DES, V18, P242, DOI 10.1080/13574809.2013.772881
   Balica SF, 2012, NAT HAZARDS, V64, P73, DOI 10.1007/s11069-012-0234-1
   Bottasso A, 2014, TRANSPORT RES A-POL, V65, P44, DOI 10.1016/j.tra.2014.04.006
   Campos V, 2012, PROCD SOC BEHV, V54, P503, DOI 10.1016/j.sbspro.2012.09.768
   Cerceau J, 2014, J CLEAN PROD, V74, P1, DOI 10.1016/j.jclepro.2014.03.050
   Chen X, 2012, COMPUT ENVIRON URBAN, V36, P207, DOI 10.1016/j.compenvurbsys.2011.11.002
   Chocl G, 2014, 10 US NAT C EARTHQ E, DOI [10.4231/D3B56D51X, DOI 10.4231/D3B56D51X]
   Christou M, 2011, J LOSS PREVENT PROC, V24, P219, DOI 10.1016/j.jlp.2010.10.001
   Cova TJ, 1997, INT J GEOGR INF SCI, V11, P763, DOI 10.1080/136588197242077
   Daamen TA, 2013, J TRANSP GEOGR, V27, P4, DOI 10.1016/j.jtrangeo.2012.03.013
   Dai S. Z, 2015, COMPREHENSIVE URBAN
   Dall'Osso F, 2010, NAT HAZARD EARTH SYS, V10, P1739, DOI 10.5194/nhess-10-1739-2010
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Faruk M, 2018, PROCEDIA ENGINEER, V212, P1099, DOI 10.1016/j.proeng.2018.01.142
   Felsenstein D, 2014, OCEAN COAST MANAGE, V101, P123, DOI 10.1016/j.ocecoaman.2014.09.013
   Frazier TG, 2010, APPL GEOGR, V30, P490, DOI 10.1016/j.apgeog.2010.05.005
   Glavovic BC, 2010, NAT HAZARDS, V54, P679, DOI 10.1007/s11069-009-9494-9
   Goerigk M, 2014, TRANSPORT RES E-LOG, V71, P82, DOI 10.1016/j.tre.2014.08.007
   Goseberg N, 2014, ADV TECHNOLOGIES EAR
   Hossain N., 2014, Asian J. Hum. Soc. Sci, V2, P103
   Huang YF, 2012, ENVIRON SCI POLICY, V23, P133, DOI 10.1016/j.envsci.2012.06.017
   Islas P. V., 2016, URBAN FORESTRY URBAN, V19, P56
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jayakody RRJC, 2018, PROCEDIA ENGINEER, V212, P954, DOI 10.1016/j.proeng.2018.01.123
   Johnstone WM, 2012, NAT HAZARDS REV, V13, P162, DOI 10.1061/(ASCE)NH.1527-6996.0000056
   Khalid MNA, 2018, SAFETY SCI, V102, P263, DOI 10.1016/j.ssci.2017.10.024
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Kulshrestha A, 2014, J ADV TRANSPORT, V48, P721, DOI 10.1002/atr.1221
   Lee SW, 2008, GEOFORUM, V39, P372, DOI 10.1016/j.geoforum.2007.07.010
   León J, 2014, HABITAT INT, V43, P250, DOI 10.1016/j.habitatint.2014.04.006
   Mahendra RS, 2011, OCEAN COAST MANAGE, V54, P302, DOI 10.1016/j.ocecoaman.2010.12.008
   Mas E., 2014, ADV NATURAL TECHNOLO, P347
   Mollah AK, 2018, INT J DISAST RISK RE, V31, P1187, DOI 10.1016/j.ijdrr.2017.11.018
   Mulcahy M, 2006, ENVIRON HIST, V11, P614, DOI 10.1093/envhis/11.3.614
   Murakami H, 2014, 10 US NAT C EARTHQ E
   Ng AKY, 2014, J TRANSP GEOGR, V41, P84, DOI 10.1016/j.jtrangeo.2014.08.012
   Ng M, 2010, COMPUT-AIDED CIV INF, V25, P547, DOI 10.1111/j.1467-8667.2010.00669.x
   Prasad S, 2016, APPL GEOGR, V67, P67, DOI 10.1016/j.apgeog.2015.12.005
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Saxena S, 2013, WEATHER CLIM EXTREME, V2, P48, DOI 10.1016/j.wace.2013.10.001
   Scheer SJ, 2012, PHYS CHEM EARTH, V49, P79, DOI 10.1016/j.pce.2011.12.001
   Shen H, 2016, GEOGRAPHY GEOINFORMA, V1, P123
   Solecki W, 2011, CURR OPIN ENV SUST, V3, P135, DOI 10.1016/j.cosust.2011.03.001
   Stepanov A, 2009, EUR J OPER RES, V198, P435, DOI 10.1016/j.ejor.2008.08.025
   Suppasri A, 2013, PURE APPL GEOPHYS, V170, P993, DOI 10.1007/s00024-012-0511-7
   Taveau J, 2010, J LOSS PREVENT PROC, V23, P813, DOI 10.1016/j.jlp.2010.04.003
   Thanvisitthpon N, 2017, CLIM RISK MANAG, V18, P15, DOI 10.1016/j.crm.2017.08.005
   Todorov V, 2010, COMPUT STAT DATA AN, V54, P37, DOI 10.1016/j.csda.2009.08.015
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wang CJ, 2015, CHINESE GEOGR SCI, V25, P612, DOI 10.1007/s11769-015-0752-3
   Wegscheider S, 2011, NAT HAZARD EARTH SYS, V11, P249, DOI 10.5194/nhess-11-249-2011
   Xu LL, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/1/014001
   Yang S., 2010, CITY PLANNING REV, V7, P92
   Yoo G, 2011, OCEAN COAST MANAGE, V54, P524, DOI 10.1016/j.ocecoaman.2011.04.001
   Zhang JT, 2012, STAT PROBABIL LETT, V82, P519, DOI 10.1016/j.spl.2011.12.005
NR 56
TC 9
Z9 9
U1 0
U2 26
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.
PD APR 24
PY 2019
VL 19
IS 4
BP 927
EP 940
DI 10.5194/nhess-19-927-2019
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 HU9SU
UT WOS:000465635000001
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Martins, MCD
   da Silva, ANR
   Pinto, N
AF da Mata Martins, Marcel Carlos
   Rodrigues da Silva, Antonio Nelson
   Pinto, Nuno
TI An indicator-based methodology for assessing resilience in urban
   mobility
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Urban mobility; Resilience; Mobility planning; Accessibility; Brazil
ID TRANSPORT ENERGY; CLIMATE-CHANGE; NETWORKS; WEATHER; IMPACT
AB Resilience is an increasingly more important concept to understand the response urban systems are able to deliver to endogenous and exogenous shocks in the current context of climate change and socioeconomic uncertainty. Urban mobility, a fundamental component of urban systems, is naturally sensitive to shocks with significant impacts on daily life of individuals and businesses. The concept of resilience in urban mobility is under intensive research with increasingly more sophisticated approaches and methods being developed to assess resilience in transport modes due to different shocks. The literature is, however, absent on applications aimed at using simpler mobility indicators that are used and validated in urban mobility planning processes in the context of lack of data or expertise. We propose a resilience evaluation method that uses commonly available origin destination (OD) datasets to evaluate an overall indicator of resilience. We consider the possibility of trips made in motorised modes to be transferred to active modes in the event of a disruption of the mobility system. Results of the application of the method to two urban areas in Brazil show that each one has a specific pattern of mode change that is related to the OD patterns. The spatial distribution of trips shows the relative importance of resilient trips in the urban area. Finally, different levels of income have different sensitivity to the variation of resilience.
C1 [da Mata Martins, Marcel Carlos; Rodrigues da Silva, Antonio Nelson] Univ Sao Paulo, Dept Transportat Engn, Sao Carlos Sch Engn, Av Trabalhador Saocarlense 400, Sao Carlos, SP, Brazil.
   [Pinto, Nuno] Univ Manchester, Spatial Policy & Anal Lab, Manchester Urban Inst, Oxford Rd, Manchester M13 9PL, Lancs, England.
C3 Universidade de Sao Paulo; University of Manchester
RP da Silva, ANR (corresponding author), Univ Sao Paulo, Dept Transportat Engn, Sao Carlos Sch Engn, Av Trabalhador Saocarlense 400, Sao Carlos, SP, Brazil.
EM anelson@sc.usp.br; nuno.pinto@manchester.ac.uk
RI Pinto, Nuno/H-2218-2011; Rodrigues da Silva, Antonio Nelson/D-1596-2016
OI Pinto, Nuno/0000-0003-4955-1543; Rodrigues da Silva, Antonio
   Nelson/0000-0003-0996-8600
FU FAPESP/The University of Manchester [2017/50309-9]; CNPq
   [308436/2015-6]; Coordenacao de Aperfeicoamento de Pessoal de Nivel
   Superior - Brasil (CAPES) [001]; Fundacao de Amparo a Pesquisa do Estado
   de Sao Paulo (FAPESP) [17/50309-9] Funding Source: FAPESP
FX This research was supported by FAPESP/The University of Manchester
   (Grant 2017/50309-9) and CNPq (Grant 308436/2015-6). This study was also
   financed in part by the Coordenacao de Aperfeicoamento de Pessoal de
   Nivel Superior - Brasil (CAPES) - Finance Code 001.
CR ARUP and Siemens, 2015, RES URB MOB CAS STUD
   ARUP & The Rockefeller Foundation, 2014, City resilience index
   Aydin N.Y., 2017, CUPUM C COMP URB PLA
   Caprì S, 2016, TRANSPORT RES D-TR E, V45, P84, DOI 10.1016/j.trd.2015.08.005
   Chan R, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000200
   Donovan B, 2017, TRANSPORT RES C-EMER, V79, P333, DOI 10.1016/j.trc.2017.03.002
   Fernandes V.A, 2017, TRANSPORTES, V25, P112, DOI [10.14295/transportes.v25i4.1079, DOI 10.14295/TRANSPORTES.V25I4.1079]
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Fotouhi H, 2017, RELIAB ENG SYST SAFE, V163, P79, DOI 10.1016/j.ress.2017.01.026
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   King D., 2016, TRB 95 ANN M COMP
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Krumdieck S, 2010, TRANSPORT RES A-POL, V44, P306, DOI 10.1016/j.tra.2010.02.002
   Leu G., 2010, 33 AUSTRALASIAN TRAN
   Leung A, 2018, TRANSPORT RES D-TR E, V65, P796, DOI 10.1016/j.trd.2017.10.011
   Mattioli G., 2017, ANN C U TRANSP STUD
   Newman P., 2011, World Transport Policy and Practice, V17, P31
   Saunders MJ, 2008, TRANSPORT RES A-POL, V42, P874, DOI 10.1016/j.tra.2008.01.031
   Saunders MJ, 2009, INT J SUSTAIN TRANSP, V3, P71, DOI 10.1080/15568310701648037
   Serulle NU, 2011, TRANSPORT RES REC, P22, DOI 10.3141/2234-03
   Stamos I, 2015, TRANSPORT RES D-TR E, V34, P168, DOI 10.1016/j.trd.2014.11.002
   United Nations, 2016, SUST DEV GOALS UN
   Walker B, 2004, ECOL SOC, V9
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
NR 24
TC 43
Z9 47
U1 16
U2 123
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1361-9209
J9 TRANSPORT RES D-TR E
JI Transport. Res. Part D-Transport. Environ.
PD DEC
PY 2019
VL 77
BP 352
EP 363
DI 10.1016/j.trd.2019.01.004
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:000503099300026
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Nop, S
   Thornton, A
AF Nop, Sothun
   Thornton, Alec
TI Urban resilience building in modern development: a case of Phnom Penh
   City, Cambodia
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptation mechanism; climate-related risk; livelihoods; modern
   development; urban resilience; urban upgrading
ID POLICY; MODERNIZATION; GEOPOLITICS; GOVERNANCE; CITIES; TIMES
AB Although the process of building urban resilience is increasingly and globally promoted, we consider this concept, and the approaches to achieve it, as particularly challenging for cities in developing countries. We argue that current market-oriented processes of urban upgrading reflect a revival of modernization concepts that, as a consequence, is deepening inequality and limiting adaptive capacities of people to cope with livelihood disruptions resulting from natural disasters and climate change. Efforts in building urban resilience thus become more difficult for marginalized urban dwellers. We explored current climate-related hazards and their impacts on urban livelihoods in selected urban communities in the city of Phnom Penh. We adopted a mixed methods approach, and our key findings revealed limited local government attention to improving infrastructure and a lack of commitment to assist vulnerable urban poor communities to build resilience to natural shocks. Policy recommendations include supporting livelihood improvement programs, addressing land tenure insecurity, and improving basic infrastructure in informal settlements.
C1 [Nop, Sothun; Thornton, Alec] Univ New South Wales UNSW Canberra, Sch Sci, Canberra, ACT, Australia.
   [Nop, Sothun] Royal Univ Phnom Penh, Fac Dev Studies, Phnom Penh, Cambodia.
   [Thornton, Alec] Univ Johannesburg, Sch Humanities, Johannesburg, South Africa.
   [Thornton, Alec] Univ Johannesburg, Sch Tourism & Hospitality, Johannesburg, South Africa.
C3 University of New South Wales Sydney; University of Johannesburg;
   University of Johannesburg
RP Nop, S (corresponding author), Univ New South Wales UNSW Canberra, Sch Sci, Canberra, ACT, Australia.
FU University of New South Wales (UNSW)
FX The authors greatly appreciate the valuable comments and suggestions
   from the editorial board and the anonymous referees. We also gratefully
   acknowledge Kvantai Ing, Sinal Hean, Pa Meas, Dara Moa, Cheat Un, Khammy
   Chhorn, Pounleu Tang, Vaty Thy, and Chankresna Choeun for assisting in
   the process of household surveys. This study has benefited from funding
   from the University of New South Wales (UNSW) Ph.D. Studentship. The
   work was conducted under approval from the Human Research Ethics
   Advisory Panel, UNSW Canberra.
CR [Anonymous], 2017, SUSTAINABLE DEV GOAL
   [Anonymous], 2016, Phnom Penh Green City Strategic Plan 2016-2025
   [Anonymous], 2016, World Cities Report 2016: Urbanization and Development - Emerging Futures
   [Anonymous], 8 KHAN SURV URB POOR
   [Anonymous], 2014, World urbanization prospects, the 2014 revision: Highlights
   [Anonymous], 2011, World Banks Guide to Climate Change Adaptation in Cities, DOI DOI 10.1596/27396
   Awuah KGB, 2018, INT DEV PLANN REV, V40, P27, DOI 10.3828/idpr.2018.1
   Bidandi F., 2017, Urban Forum, V28, P235, DOI DOI 10.1007/S12132-017-9311-6
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Brickell K., 2017, GEOGRAPHIES FORCED E, P1, DOI DOI 10.1057/978-1-137-51127-0
   Brickell K, 2014, ANN ASSOC AM GEOGR, V104, P1256, DOI 10.1080/00045608.2014.944452
   Casolo J, 2013, GEOPOLITICS, V18, P800, DOI 10.1080/14650045.2013.811644
   Chandran MAS, 2017, INT J BIOMETEOROL, V61, P1063, DOI 10.1007/s00484-016-1286-9
   Connell J., 2016, MIGR DEV, V5, P413, DOI DOI 10.1080/21632324.2014.984900
   Connell J, 2015, DEV PRACT, V25, P655, DOI 10.1080/09614524.2015.1050998
   Corbetta P., 2003, SOCIAL RES THEORY ME
   Councils of Snagkat Khmuonh, 2016, STAT POP SANGK KHMUO
   Councils of Snagkat Kouk Roka, 2016, STAT POP SANGK KOUK
   Davis M., 2006, New Perspectives Quarterly, V23, P6
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Denney L., 2016, Reforming solid waste management in Phnom Penh. Working Politically in Practice Series. Case study, V8
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Di Feliciantonio C, 2016, ANTIPODE, V48, P1206, DOI 10.1111/anti.12243
   Diepart J.-C., 2016, SPATIAL PLANNING SER, V1
   Flower B., 2015, People In Need
   Flower B, 2018, ENVIRON URBAN, V30, P301, DOI 10.1177/0956247817735481
   Friend R., 2013, IS BUILDING RESILIEN
   Friend R. M., 2015, INT J DISASTER RESIL, V6, P30, DOI [10.1108/IJDRBE-08-2014-0061, DOI 10.1108/IJDRBE-08-2014-0061, 10.1108/ijdrbe-08-2014-0061]
   Guild R., 2013, MOVING RISK RESILIEN
   GULYANI S., 2002, Urban upgrading in Africa: A summary of rapid assessments in ten countries
   Hassan AM, 2015, LAND USE POLICY, V48, P199, DOI 10.1016/j.landusepol.2015.04.029
   Hobson K, 2018, INT J LIFE CYCLE ASS, V23, P456, DOI 10.1007/s11367-015-1005-5
   Inglehart M.R., 2014, The civic culture transformed: From allegiant to assertive citizens, pxix
   Jabareen Y, 2015, GEOFORUM, V63, P40, DOI 10.1016/j.geoforum.2015.05.017
   Jänicke M, 2008, J CLEAN PROD, V16, P557, DOI 10.1016/j.jclepro.2007.02.011
   Jha A.K., 2013, BUILDING URBAN RESIL, DOI [10.1596/978-0-8213-8865-5, DOI 10.1596/978-0-8213-8865-5]
   JICA, 2014, PROJ COMPR URB TRANS
   Joseph V, 2013, NAT HAZARDS, V69, P675, DOI 10.1007/s11069-013-0735-6
   Kim KD, 2017, INT SOC DESIGN CONF, P75, DOI 10.1109/ISOCC.2017.8368777
   Kum V, 2005, WASTE MANAGE, V25, P101, DOI 10.1016/j.wasman.2004.09.004
   Kumar S, 2015, ERIA DISCUSSION PAPE
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Lockie S., 2015, Environmental Sociology, V1, P237, DOI [10.1080/23251042.2015.1125610, DOI 10.1080/23251042.2015.1125610, https://doi.org/10.1080/23251042.2015.1125610]
   Marsh RM, 2014, COMP SOCIOL, V13, P261, DOI 10.1163/15691330-12341311
   McFarlane C, 2012, URBAN STUD, V49, P2795, DOI 10.1177/0042098012452460
   McMichael Philip., 2012, DEV SOCIAL CHANGE GL
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mehmood A, 2016, EUR PLAN STUD, V24, P407, DOI 10.1080/09654313.2015.1082980
   Mgbako C., 2010, Washington University Global Studies Law Review, V9, P39
   Mitchell D, 2015, LAND USE POLICY, V48, P190, DOI 10.1016/j.landusepol.2015.05.026
   Neef A, 2015, DEV PRACT, V25, P601, DOI 10.1080/09614524.2015.1052374
   NGO Forum on Cambodia, 2014, STAT AN LAND DISP CA
   Olds K, 2002, SINGAPORE J TROP GEO, V23, P247, DOI 10.1111/1467-9493.00129
   Platt S, 2016, INT J DISAST RISK RE, V19, P447, DOI 10.1016/j.ijdrr.2016.05.006
   Sandelowski M, 2000, RES NURS HEALTH, V23, P246, DOI 10.1002/1098-240X(200006)23:3<246::AID-NUR9>3.0.CO;2-H
   Sayan RC, 2017, LOCAL ENVIRON, V22, P1510, DOI 10.1080/13549839.2017.1368465
   Smith Adrian., 2005, THEORIZING TRANSITIO, DOI [10.4324/9780203982907, DOI 10.4324/9780203982907]
   STT, 2018, PHNOM PENH SURV STUD
   STT, 2016, PROM KEPT STUD DEV 7
   Sygna L., 2015, Climate Change Adaptation and Development: Transforming Paradigms and Practices, P312, DOI [10.4324/9781315774657, DOI 10.4324/9781315774657]
   Trac T. S., 2015, SUST URB TRANSP WORK
   Tulumello S, 2016, URBAN GEOGR, V37, P117, DOI 10.1080/02723638.2015.1056605
   Tyler S., 2010, Working Paper No. 3
   Walliman N., 2015, Social research methods: The essentials
   Willis K., 2011, Theories and Practices of Development, V2nd, DOI DOI 10.4324/9780203844182
   World Bank, 2018, URB DEV PHNOM PENH
   Yen Y, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8060523
NR 67
TC 14
Z9 15
U1 2
U2 33
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PD JUL
PY 2019
VL 24
IS 2
AR 23
DI 10.5751/ES-10860-240223
PG 11
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IT2VT
UT WOS:000482712400017
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Liu, JJ
   Li, XM
   Liu, H
   Song, YS
AF Liu, Jianjun
   Li, Xueming
   Liu, He
   Song, Yishan
TI The Spatial and Temporal Evolution Pattern and Influencing Factors of
   Urban Human Settlement Resilience in Three Provinces of Northeast China
SO LAND
LA English
DT Article
DE resilience of urban human settlements; space-time evolution; influencing
   factors; three provinces in Northeast China
AB It is widely recognized that urban resilience is one of the core goals of urban development. As an important part of a city, the resilience level of urban human settlements directly affects the development trend of urban resilience. However, at present, research results on the resilience of urban human settlements are very rare, are mainly concentrated in the central region of China, and rarely take into account the economically backward northeastern region. Therefore, in order to better improve the anti-risk ability of the urban human settlement environment system in three provinces of Northeast China, fully implement the strategic goal of "Comprehensive Revitalization of Northeast China", and achieve high-quality urban development, this paper focuses on 34 prefecture-level cities in three provinces of Northeast China and proposes an urban human settlement resilience evaluation system with 36 indicators in five dimensions, namely, the natural system, human system, housing system, supporting system, and social system. Using the entropy weight method, the Dagum Gini coefficient, and a geographical probe model, the changes in the resilience level of each city from 2005 to 2020 were measured, and the urban living environment was assessed in terms of the adaptability and resilience of the development level in each subsystem based on the temporal and spatial evolution law and its influencing factors. The following conclusions were drawn: (1) The development level of urban human settlement resilience in the three provinces in Northeast China showed an N-shaped development trend from 2005 to 2020, but the regional differences were significant, and the overall spatial pattern was "high in the south and low in the north". (2) In terms of the overall difference, the overall difference in urban human settlement resilience in the three northeastern provinces of China was small: the inter-regional difference was the main source of the difference, and the intra-regional difference was the secondary source. The regional differences were in the order of Heilongjiang Province > Liaoning Province > Jilin Province, indicating that Jilin Province had the smallest difference and that the resilience level of urban human settlements does not show a balanced development trend. In terms of the average Gini coefficient between regions, the order of difference was Liaoning Province-Heilongjiang Province > Jilin Province-Liaoning Province > Jilin Province-Heilongjiang Province, indicating that the difference between Liaoning Province and Heilongjiang Province was the most significant. (3) The "natural system", "human system", "living system", "supporting system", and "social system" had significant spatial and temporal heterogeneity and significantly affected the resilience level of urban human settlements in the three provinces in Northeast China. Among them, the "social system" has always been the main factor affecting the resilience level of urban human settlements.
C1 [Liu, Jianjun; Li, Xueming; Song, Yishan] Liaoning Normal Univ, Sch Geog, Dalian 116082, Peoples R China.
   [Liu, He] Anshan Normal Univ, Dept Geog Sci, Anshan 114007, Peoples R China.
C3 Liaoning Normal University; Anshan Normal University
RP Li, XM (corresponding author), Liaoning Normal Univ, Sch Geog, Dalian 116082, Peoples R China.
EM 18340830644@163.com; lixueming@lnnu.edu.cn; liuhe@mail.asnc.edu.cn;
   songyishan0916@163.com
RI Liu, Jianjun/AAK-4989-2020
FU National Natural Science Foundation of China
FX No Statement Available
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Ba R, 2022, J SAF SCI RESIL, V3, P398, DOI 10.1016/j.jnlssr.2022.08.004
   Chan J, 2015, URBAN FOR URBAN GREE, V14, P625, DOI 10.1016/j.ufug.2015.06.005
   Chen HZ, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131377
   Chen YT, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.885976
   Cong XP, 2021, LAND-BASEL, V10, DOI 10.3390/land10090993
   DOXIADIS CA, 1975, EKISTICS, V40, P405
   Fisher J., 2023, Urban Resilience and Sustainability: The Role of a Local Resilience Forum in England, VVolume 10, P16, DOI [10.1007/978-3-319-08819-8_5, DOI 10.1007/978-3-319-08819-8_5]
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   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
   Jiang NN, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107298
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Ju M., 2022, Acta Geogr. Sin, V77, P795, DOI [10.11821/dlxb202204003, DOI 10.11821/DLXB202204003]
   Khorasani M, 2018, SOC INDIC RES, V136, P693, DOI 10.1007/s11205-016-1546-4
   Kim H, 2015, HABITAT INT, V49, P497, DOI 10.1016/j.habitatint.2015.07.003
   León J, 2014, HABITAT INT, V43, P250, DOI 10.1016/j.habitatint.2014.04.006
   [李琛 Li Chen], 2022, [经济地理, Economic Geography], V42, P220
   Li X.M., 2022, HUM GEOGR, V37, P54, DOI [10.13959/j.issn.1003-2398.2022.01.007, DOI 10.13959/J.ISSN.1003-2398.2022.01.007]
   Liu H, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070945
   Liu H, 2022, LAND-BASEL, V11, DOI 10.3390/land11050646
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   Liu YJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093523
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Ma T, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095243
   Mallick SK, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103196
   Marana P, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101531
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Moradpour N, 2023, INT J DISASTER RESIL, V14, P154, DOI 10.1108/IJDRBE-01-2022-0001
   Nyström M, 2019, NATURE, V575, P98, DOI 10.1038/s41586-019-1712-3
   Osman T, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103372
   [潘竟虎 Pan Jinghu], 2020, [地理学报, Acta Geographica Sinica], V75, P769
   [彭坤杰 Peng Kunjie], 2023, [经济地理, Economic Geography], V43, P74
   Rayan M, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100899
   Sañudo E, 2020, WATER-SUI, V12, DOI 10.3390/w12092647
   Sun H.H., 2019, Geogr. Res, V41, P2697, DOI [10.11821/dlyj020211186, DOI 10.11821/DLYJ020211186]
   [孙平军 Sun Pingjun], 2023, [地理研究, Geographical Research], V42, P106
   Tampekis S, 2023, EURO-MEDITERR J ENVI, DOI 10.1007/s41207-023-00385-z
   Tang LS, 2017, HABITAT INT, V70, P81, DOI 10.1016/j.habitatint.2017.10.001
   Wang C., 2022, J NAT RESOUR, V37, P645, DOI [10.31497/zrzyxb.20220307, DOI 10.31497/ZRZYXB.20220307]
   Wang C., 2021, J. Geogr. Sci, V40, P10
   Wang H.H., 2009, Resour. Dev. Mark, V25, P311, DOI [10.3969/j.issn.1005-8141.2009.04.008, DOI 10.3969/J.ISSN.1005-8141.2009.04.008]
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wang S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090958
   Wang Y., 2018, Chin. J. Agric. Resour. Reg, V39, P110
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   [魏献花 Wei Xianhua], 2019, [干旱区地理, Arid Land Geography], V42, P1176
   Wu L., 2001, Introduction to Human Settlements Science, P38
   Xing XS, 2001, SCI CHINA SER A, V44, P1331, DOI 10.1007/BF02877022
   [杨俊 Yang Jun], 2018, [生态学报, Acta Ecologica Sinica], V38, P778
   You XT, 2022, NAT HAZARDS, V113, P1751, DOI 10.1007/s11069-022-05368-x
   Yu SK, 2023, LAND-BASEL, V12, DOI 10.3390/land12071412
   Yuan Z.F., 2002, Adv. Earth Sci, V37, P1079, DOI [10.11867/j.issn.1001-8166.2022.072, DOI 10.11867/J.ISSN.1001-8166.2022.072]
   Zhang J.Y., 2019, Resour. Environ. Yangtze Basin, V32, P235
   Zhang LY, 2022, LAND-BASEL, V11, DOI 10.3390/land11010122
   Zhang Q, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12091500
   Zhang Y, 2023, J VIB ENG TECHNOL, P1, DOI DOI 10.13700/J.BH.1001-5965.2023.0291
   [赵领娣 Zhao Lingdi], 2023, [经济地理, Economic Geography], V43, P119
   Zhou XQ, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0289754
   [朱媛媛 Zhu Yuanyuan], 2021, [自然资源学报, Journal of Natural Resources], V36, P1700
NR 61
TC 1
Z9 1
U1 12
U2 34
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2023
VL 12
IS 12
AR 2161
DI 10.3390/land12122161
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DM4Y6
UT WOS:001132459600001
OA gold
DA 2025-04-22
ER

PT J
AU Liu, ZH
   He, YX
   Luo, HB
   Liu, WL
   Liu, TX
   Di, YP
AF Liu, Zihan
   He, Yexin
   Luo, Hanbin
   Liu, Wenli
   Liu, Tianxiang
   Di, Yongping
TI Global assessment modeling to reveal spatiotemporal variations and
   socioenvironmental drivers in drainage system flood-resilient
   performance
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Urban hydrology; Resilience-sensitive; Flooding-vulnerable;
   Spatiotemporal variation; Trade-off/synergy
ID URBAN; DETERIORATION; VULNERABILITY; FEATURES; RISK
AB Flood resilience has received considerable attention from urban areas experiencing intense rainstorms due to urbanization and climate change. Preevent assessments and measures can facilitate the resilience performance of urban drainage infrastructure. Current resilience studies predominantly evaluate a single fixed scenario without exploring the spatiotemporal dynamic process and its underlying drivers. Here, a synthetic assessment model is developed to systematically evaluate the spatiotemporal dynamics of urban drainage system (UDS) resilience via a targeted failure pattern approach coupled with a component degradation model to identify resilience-sensitive pipe segments and provide quantitative simulation evaluations of global resilience performance at spatiotemporal scales. The Mantel test reveals the spatial correlation between pipeline sensitivity performance and socioenvironmental factors and identifies key indicators. We find that spatial failure patterns reduce system resilience more than component deterioration over time does. The resilience-sensitivity performance of pipes exhibits a significant spatial relationship with two indicators (i.e., nighttime light and population density). Subcatchment flooding-vulnerable performance is thus proven to be more sensitive to localized changes in two socioenvironmental drivers. This study provides a comprehensive framework for evaluating the spatiotemporal dynamics of urban drainage system resilience, which enables decision-makers to pinpoint priority zones where the deployment of flood mitigation strategies would be optimally effective.
C1 [Liu, Zihan; He, Yexin; Luo, Hanbin; Liu, Wenli; Liu, Tianxiang; Di, Yongping] Huazhong Univ Sci & Technol, Sch Civil & Hydraul Engn, Wuhan 430074, Hubei, Peoples R China.
C3 Huazhong University of Science & Technology
RP Liu, WL (corresponding author), Huazhong Univ Sci & Technol, Sch Civil & Hydraul Engn, Wuhan 430074, Hubei, Peoples R China.
EM liuzihan1996@hust.edu.cn; patick_@hust.edu.cn; luohbcem@hust.edu.cn;
   liu_wenli@hust.edu.cn; m202171531@hust.edu.cn; m202271538@hust.edu.cn
RI li, chengqian/AAH-7343-2019; Liu, Wenli/U-1303-2019
CR Administration for Market Regulation of Wuhan, 2021, Rainstorm intensity formula and design rainstorm profile of Wuhan: DB4201/T 641-2020
   Almar R, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24008-9
   Bakhshipour AE, 2019, J ENVIRON MANAGE, V249, DOI 10.1016/j.jenvman.2019.109364
   Balekelayi N, 2019, J INFRASTRUCT SYST, V25, DOI 10.1061/(ASCE)IS.1943-555X.0000500
   Caradot N, 2018, J HYDROINFORM, V20, P1131, DOI 10.2166/hydro.2018.217
   Carnacina I, 2017, WATER RES, V112, P279, DOI 10.1016/j.watres.2017.01.050
   Cavalieri F, 2023, RELIAB ENG SYST SAFE, V237, DOI 10.1016/j.ress.2023.109348
   Chang TJ, 2015, J HYDROL, V524, P662, DOI 10.1016/j.jhydrol.2015.03.014
   Chehibi M, 2022, EXPERT SYST APPL, V209, DOI 10.1016/j.eswa.2022.118212
   Chen WL, 2019, J HYDROL, V575, P454, DOI 10.1016/j.jhydrol.2019.05.043
   Chen ZQ, 2022, COMPUT ENVIRON URBAN, V92, DOI 10.1016/j.compenvurbsys.2021.101749
   Cherqui F, 2015, SCI TOTAL ENVIRON, V514, P418, DOI 10.1016/j.scitotenv.2015.02.027
   Clair AMS, 2012, URBAN WATER J, V9, P85, DOI 10.1080/1573062X.2011.644566
   Coimbra ECL, 2023, J WATER PROCESS ENG, V53, DOI 10.1016/j.jwpe.2023.103793
   de Brito MM, 2016, NAT HAZARD EARTH SYS, V16, P1019, DOI 10.5194/nhess-16-1019-2016
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   Dui H, 2024, RELIAB ENG SYST SAFE, V247, DOI 10.1016/j.ress.2024.110130
   Fahad MGR, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108388
   Fahad MGR, 2020, WATER RESOUR MANAG, V34, P1123, DOI 10.1007/s11269-020-02490-y
   Fang WL, 2023, ADV ENG INFORM, V55, DOI 10.1016/j.aei.2022.101870
   Gironás J, 2010, ENVIRON MODELL SOFTW, V25, P813, DOI 10.1016/j.envsoft.2009.11.009
   Guan ZK, 2024, J ENVIRON MANAGE, V349, DOI 10.1016/j.jenvman.2023.119289
   Hesarkazzazi S, 2022, WATER RES, V222, DOI 10.1016/j.watres.2022.118910
   Hokstad P., 2012, RISK INTERDEPENDENCI, P35, DOI [https://doi.org/10.1007/978-1-4471-4661-2, DOI 10.1007/978-1-4471-4661-2]
   Kamali B, 2022, RELIAB ENG SYST SAFE, V218, DOI 10.1016/j.ress.2021.108201
   Kolowrocki K, 2011, SPRINGER SER RELIAB, P1, DOI 10.1007/978-0-85729-694-8_1
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Leandro J, 2016, J HYDROL, V535, P356, DOI 10.1016/j.jhydrol.2016.01.060
   Li K, 2020, BUILD ENVIRON, V177, DOI 10.1016/j.buildenv.2020.106910
   Li SC, 2022, SCI TOTAL ENVIRON, V807, DOI 10.1016/j.scitotenv.2021.151036
   Mori S, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107963
   Motamedi MH, 2018, ENG STRUCT, V172, P700, DOI 10.1016/j.engstruct.2018.06.050
   Mottahedi A, 2021, RELIAB ENG SYST SAFE, V215, DOI 10.1016/j.ress.2021.107849
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Murali MK, 2019, J ENVIRON MANAGE, V240, P219, DOI 10.1016/j.jenvman.2019.03.120
   Mustafa A, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-36138-9
   Nazari R, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000531
   Okwori E, 2021, WATER RES, V194, DOI 10.1016/j.watres.2021.116934
   Ouyang W, 2012, J ENVIRON MANAGE, V113, P467, DOI 10.1016/j.jenvman.2012.10.017
   Qin XL, 2023, ADV CLIM CHANG RES, V14, P458, DOI 10.1016/j.accre.2023.05.005
   Regueiro-Picallo M, 2018, WATER SCI TECHNOL, P8, DOI 10.2166/wst.2018.055
   Sadeghi-Pouya A, 2017, INT J DISAST RISK RE, V22, P304, DOI 10.1016/j.ijdrr.2017.02.013
   Pulido ES, 2019, WATER SCI TECHNOL, V79, P1727, DOI 10.2166/wst.2019.172
   Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
   Tang YB, 2020, J ENVIRON ENG, V146, DOI 10.1061/(ASCE)EE.1943-7870.0001799
   Tran DH, 2007, ENG APPL ARTIF INTEL, V20, P1144, DOI 10.1016/j.engappai.2007.02.005
   Tu Y, 2022, EXPERT SYST APPL, V210, DOI 10.1016/j.eswa.2022.118488
   Wang M, 2022, SCI TOTAL ENVIRON, V834, DOI 10.1016/j.scitotenv.2022.155267
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Wu JS, 2013, REMOTE SENS ENVIRON, V134, P111, DOI 10.1016/j.rse.2013.03.001
   Xu HS, 2018, J HYDROL, V563, P975, DOI 10.1016/j.jhydrol.2018.06.060
   Yang YF, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101886
   Yin DK, 2023, WATER RES, V242, DOI 10.1016/j.watres.2023.120315
   Yin XF, 2020, AUTOMAT CONSTR, V116, DOI 10.1016/j.autcon.2020.103181
   Zhang DZ, 2021, WATER RES, V188, DOI 10.1016/j.watres.2020.116475
   Zhang JX, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118770
   Zhang W, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130144
   Zheng YM, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103338
   Zischg J, 2019, SCI TOTAL ENVIRON, V651, P1709, DOI 10.1016/j.scitotenv.2018.10.061
NR 59
TC 0
Z9 0
U1 12
U2 12
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 MAY
PY 2025
VL 257
AR 110862
DI 10.1016/j.ress.2025.110862
EA FEB 2025
PN B
PG 16
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA W7A7N
UT WOS:001420062200001
DA 2025-04-22
ER

PT J
AU Ujaque, DS
   Roca, E
   Joue, RD
   Fuertes, P
   Garcia-Almirall, P
AF Ujaque, Diego Saez
   Roca, Elisabet
   Joue, Rafael de Balanzo
   Fuertes, Pere
   Garcia-Almirall, Pilar
TI Resilience and Urban Regeneration Policies. Lessons from Community-Led
   Initiatives. The Case Study of CanFugarolas in Mataro (Barcelona)
SO SUSTAINABILITY
LA English
DT Article
DE community resilience; social-centered panarchy; self-organization;
   socio-ecological resilience; urban dynamics; urban regeneration
ID PERSPECTIVE; ADAPTATION
AB This paper addresses socio-ecological, community-led resilience as the ability of the urban system to progress and adapt. This is based on the socio-cultural, self-organized case study of CanFugarolas in Mataro (Barcelona), for the recovery of a derelict industrial building and given the lack of attention to resilience emerging from grassroots. Facing rigidities (stagnation) observed under the provisions of urban regeneration policies (regulatory realm), evidenced in the proliferation of urban voids (infrastructural arena), the social subsystem stands as the enabler of urban progression. Under the heuristics of the Adaptive Cycle and Panarchy, the study embraces Fath's model to analyze the transition along, and the interactions between, the adaptive cycles at each urban subsystem. The mixed method approach reveals the ability of the community to navigate all stages and overcome successive ailments, despite seemingly insurmountable obstacles (traps) at the physical support (built stock) and the regulatory arena (urban planning). Further, cross-scale, social-centered interactions (panarchy) are also traced, becoming the "sink " and the "trigger " of the urban dynamics. The community, in the form of an actor-network, becomes the catalyst (through Remember/Revolt) of urban resilience at the city scale. At a managerial level, this evidences its temporal and spatial complementarity to top-down urban regeneration policies.
C1 [Ujaque, Diego Saez; Roca, Elisabet] Univ Politecn Cataluna, Inst Sustainabil Sci & Technol, Barcelona 08028, Spain.
   [Joue, Rafael de Balanzo] CUNY Queens Coll, New York, NY 11367 USA.
   [Joue, Rafael de Balanzo] Univ Autonoma Barcelona, Sch Design & Art, EINA, Barcelona 08017, Spain.
   [Fuertes, Pere] Univ Politecn Cataluna, Dept Architectural Design, Barcelona 08028, Spain.
   [Garcia-Almirall, Pilar] Univ Politecn Cataluna, Dept Architectural Technol, Barcelona 08028, Spain.
C3 Universitat Politecnica de Catalunya; City University of New York (CUNY)
   System; Autonomous University of Barcelona; Universitat Politecnica de
   Catalunya; Universitat Politecnica de Catalunya
RP Ujaque, DS (corresponding author), Univ Politecn Cataluna, Inst Sustainabil Sci & Technol, Barcelona 08028, Spain.
EM diego.saez@upc.edu; elisabet.roca@upc.edu; rbalanzoj@gmail.com;
   pere.fuertes@upc.edu; pilar.garcia-almirall@upc.edu
RI DE BALANZO JOUE, RAFAEL/AAN-1367-2020; Garcia-Almirall,
   Pilar/J-7375-2016; Roca, Elisabet/L-5141-2014; Fuertes Perez,
   Pere/T-3130-2019
OI Roca, Elisabet/0000-0001-9432-0029; Fuertes Perez,
   Pere/0000-0003-0477-5965; DE BALANZO JOUE, Rafael/0000-0003-2551-7850;
   SAEZ UJAQUE, DIEGO/0000-0001-5487-4465
FU Agencia de Gestio d'Ajuts Universitaris i de Recerca [2019 FI_B 00760]
FX This research was funded by the Agencia de Gestio d'Ajuts Universitaris
   i de Recerca. Gerelatitat de Catalunya. Grant number 2019 FI_B 00760.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Berkes F, 1998, ECOSYSTEMS, V1, P409, DOI 10.1007/s100219900034
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   BOELENS Luuk., 2009, The Urban Connection. An actor relational approach to urban planning
   Boonstra B, 2011, URBAN RES PRACT, V4, P99, DOI 10.1080/17535069.2011.579767
   Chaffin BC, 2016, J ENVIRON MANAGE, V165, P81, DOI 10.1016/j.jenvman.2015.09.003
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Colding J., 2010, CRITICAL PLANNING, V17, P2
   Davoudi S, 2018, CITY COMMUNITY, V17, P3, DOI 10.1111/cico.12281
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   De Balanzó R, 2018, ECOL SOC, V23, DOI 10.5751/ES-10396-230406
   Fath BD, 2015, ECOL SOC, V20, DOI 10.5751/ES-07467-200224
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   GomO R., 2003, JOVENTUT OKUPACIO PO
   Hassler U, 2014, BUILD RES INF, V42, P119, DOI 10.1080/09613218.2014.873593
   Herrmann DL, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090911
   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
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Ibanez-Alonso J, 1979, MAS SOCIOLOGIA GRUPO
   Jornet S, 1995, PAPERS REGIO METROPO, V23, P61
   Kohler N, 2002, BUILD RES INF, V30, P226, DOI 10.1080/09613210110102238
   Levin SA, 1998, ECOSYSTEMS, V1, P431, DOI 10.1007/s100219900037
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Munn R. E., 1986, Sustainable Development of the Biosphere, P292
   Neill, 2013, CRISIS CHOICE REIMAG
   Németh J, 2014, CITIES, V40, P143, DOI 10.1016/j.cities.2013.04.007
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Pereira L. M., 2018, Urban planet: knowledge towards sustainable cities, P327, DOI [10.1017/9781316647554.018, DOI 10.1017/9781316647554.018]
   Portugali J., 2000, SELF ORG CITY
   Resilience Alliance, 2010, Assessing resilience in social-ecological systems: workbook for practitioners revised version 2.0
   Saez D, 2014, ELS BUITS URBANS MAT
   Salicru M, 1993, CREIXEMENT URBA MATA
   Scott J.C, 2020, Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spradley J., 1980, Participant observation
   Tuli F., 2010, ETHIOPIAN J ED SCI, V6, P97
   Ulin P.R., 2005, Med Sci Sports Exerc, V37, P1249, DOI [10.1249/01.mss.0000172593.20181.14, DOI 10.1249/01.MSS.0000172593.20181.14]
NR 39
TC 5
Z9 5
U1 14
U2 65
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2021
VL 13
IS 22
AR 12855
DI 10.3390/su132212855
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 XL3EU
UT WOS:000728031100001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Xun, XL
   Yuan, YB
AF Xun, Xiaolin
   Yuan, Yongbo
TI Research on the urban resilience evaluation with hybrid multiple
   attribute TOPSIS method: an example in China
SO NATURAL HAZARDS
LA English
DT Article
DE Urban resilience; Hybrid multiple attribute group decision-making;
   TOPSIS method; Intuitionistic trapezoidal fuzzy numbers
ID GROUP DECISION-MAKING; COMMUNITY RESILIENCE; RISK-ASSESSMENT; FUZZY;
   SYSTEMS; PERSPECTIVE; FRAMEWORK; MODEL
AB Cities are important barriers to protect people's lives and property in the face of natural disasters, economic fluctuations and epidemic diseases. The evaluation of urban resilience is a hybrid multiple attribute group decision-making problem involving both crisp and fuzzy indicators. In order to evaluate the urban resilience reasonably and quantitatively, an urban resilience evaluation index system is established, including four primary indicators of ecological environment, municipal facilities, economic development and social development, and 28 secondary indicators. An evaluation model based on the theory of intuitionistic fuzzy set and TOPSIS method is proposed. The intuitionistic trapezoidal fuzzy number is used to quantify the fuzzy index and determine the weights of experts. The weight of each index is determined based on the maximizing deviation method. The relevant data of Dalian City from 2013 to 2017 are collected to evaluate the city resilience, and a sensitivity analysis is carried out based on the proposed model. The results may provide insights for the further urban resilience promotion.
C1 [Xun, Xiaolin; Yuan, Yongbo] Dalian Univ Technol, Dept Construct Management, Room 508,Comprehens Expt Bldg 3, Dalian 116024, Liaoning, Peoples R China.
C3 Dalian University of Technology
RP Xun, XL (corresponding author), Dalian Univ Technol, Dept Construct Management, Room 508,Comprehens Expt Bldg 3, Dalian 116024, Liaoning, Peoples R China.
EM qdxunxl@163.com
OI Xun, Xiaolin/0000-0002-2828-9163
CR Abdel-Basset M, 2019, COGN SYST RES, V57, P216, DOI 10.1016/j.cogsys.2018.10.023
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], 2016, PREPAREDNESS MAP COM
   [Anonymous], 2007, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters
   [Anonymous], 2011, STRATEGIC NATL FRAME
   ATANASSOV KT, 1986, FUZZY SET SYST, V20, P87, DOI 10.1016/S0165-0114(86)80034-3
   Beskese A, 2015, ENVIRON EARTH SCI, V73, P3513, DOI 10.1007/s12665-014-3635-5
   Bieda B, 2013, SCI TOTAL ENVIRON, V442, P489, DOI 10.1016/j.scitotenv.2012.10.032
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Büyüközkan G, 2016, COMPUT IND ENG, V102, P383, DOI 10.1016/j.cie.2016.05.038
   Cavallaro M, 2014, COMPUT-AIDED CIV INF, V29, P608, DOI 10.1111/mice.12080
   Chen C, 2019, COMPUT SCI EDUC, V29, P23, DOI 10.1080/08993408.2018.1547564
   Chen CT, 2000, FUZZY SET SYST, V114, P1, DOI 10.1016/S0165-0114(97)00377-1
   Chen Xiao-hong, 2013, Control and Decision, V28, P1377
   Chen ZP, 2011, APPL MATH MODEL, V35, P4424, DOI 10.1016/j.apm.2011.03.015
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Corman VM, 2020, EUROSURVEILLANCE, V25, P23, DOI 10.2807/1560-7917.ES.2020.25.3.2000045
   Cui P, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101880
   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
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Donovan B, 2017, TRANSPORT RES C-EMER, V79, P333, DOI 10.1016/j.trc.2017.03.002
   Dutta B, 2019, EXPERT SYST APPL, V138, DOI 10.1016/j.eswa.2019.07.023
   [方东平 Fang Dongping], 2017, [土木工程学报, China Civil Engineering Journal], V50, P1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gündogdu FK, 2019, ENG APPL ARTIF INTEL, V85, P307, DOI 10.1016/j.engappai.2019.06.003
   Guo S, 2015, APPL ENERG, V158, P390, DOI 10.1016/j.apenergy.2015.08.082
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   HWANG CL, 1993, COMPUT OPER RES, V20, P889, DOI 10.1016/0305-0548(93)90109-V
   Javidroozi V, 2015, 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), P312, DOI 10.1109/CSCI.2015.10
   Karsak EE, 2015, COMPUT IND ENG, V82, P82, DOI 10.1016/j.cie.2015.01.019
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Li XH, 2014, J SYST SCI SYST ENG, V23, P231, DOI 10.1007/s11518-014-5244-y
   Liao HC, 2014, INT J INF TECH DECIS, V13, P47, DOI 10.1142/S0219622014500035
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Lyu HM, 2018, SCI TOTAL ENVIRON, V626, P1012, DOI 10.1016/j.scitotenv.2018.01.138
   Mantzaras G, 2017, WASTE MANAGE, V69, P518, DOI 10.1016/j.wasman.2017.08.037
   McAllister T.P., 2015, COMMUNITY RESILIENCE
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Martins VN, 2012, NAT HAZARDS, V62, P385, DOI 10.1007/s11069-012-0084-x
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Simanaviciene R., 2010, Procedia-Soc. Behav. Sci, V2, P7743, DOI [10.1016/j.sbspro.2010.05.207, DOI 10.1016/J.SBSPRO.2010.05.207]
   Singh-Peterson L, 2014, INT J DISAST RISK RE, V10, P116, DOI 10.1016/j.ijdrr.2014.07.004
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wang JQ, 2016, SOFT COMPUT, V20, P1621, DOI 10.1007/s00500-015-1609-5
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wei GW, 2015, INT J FUZZY SYST, V17, P484, DOI 10.1007/s40815-015-0060-1
   Wu XH, 2016, NAT HAZARDS, V82, P1981, DOI 10.1007/s11069-016-2281-5
   Yazdani M, 2019, EXPERT SYST APPL, V115, P474, DOI 10.1016/j.eswa.2018.08.017
   Yazdi M, 2018, SAFETY SCI, V110, P438, DOI 10.1016/j.ssci.2018.03.005
   YUE ZL, 2012, APPL MATH MODEL, V36, P2900
   Zhang L, 2019, INFORM SCIENCES, V478, P275, DOI 10.1016/j.ins.2018.11.033
   Zhang LQ, 2017, URBAN ECOSYST, V20, P701, DOI 10.1007/s11252-016-0629-y
NR 56
TC 56
Z9 60
U1 27
U2 264
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 2020
VL 103
IS 1
BP 557
EP 577
DI 10.1007/s11069-020-04000-0
EA MAY 2020
PG 21
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 MV5SW
UT WOS:000532650700001
PM 32412523
OA Bronze, Green Published
DA 2025-04-22
ER

PT J
AU Zhang, QX
   Hu, JY
   Song, XP
   Li, ZH
   Yang, KH
   Sha, YZ
AF Zhang, Qingxia
   Hu, Junyan
   Song, Xuping
   Li, Zhihong
   Yang, Kehu
   Sha, Yongzhong
TI How does social learning facilitate urban disaster resilience? A
   systematic review
SO ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS
LA English
DT Review
DE Urban hazard; urban disaster resilience; social learning; risk
   management; thematic synthesis; systematic review
ID METHODOLOGICAL QUALITY; COMMUNITY RESILIENCE; RISK; KNOWLEDGE; LESSONS;
   ADAPTATION; INFRASTRUCTURE; STEWARDSHIP; GOVERNANCE; MITIGATION
AB Social learning has been considered an emerging policy option for urban disaster risk management. Urban disaster resilience is claimed to be a desirable outcome of many social learning programmes, but little systematic evidence illustrates how urban disaster resilience has been facilitated by social learning programmes. This paper presents a theoretic approach by a systematic review using the thematic content analysis method and finds that all of the social, technological and natural hazards can trigger social learning and the learning type varies according to ?who learns?. It is showed that the mechanisms by which social learning can facilitate urban disaster resilience include: (1) governance capacity; (2) self-organisation; (3) cognitive change; (4) moral or civic responsibility; and (5) open communication and deliberation. Moreover, the leading roles in the risk management practice played by social learning to improve urban disaster resilience are achieved throughout three strategies: (1) meeting the public demands of risk perception; (2) getting more stakeholders involved into a collaborative process; and (3) joint problem-solving. The findings might provide guidelines for the implementation of social learning programme in the future.
C1 [Zhang, Qingxia; Hu, Junyan; Li, Zhihong; Sha, Yongzhong] Lanzhou Univ, Sch Management, 222 Tianshui South Rd, Lanzhou, Gansu, Peoples R China.
   [Zhang, Qingxia; Song, Xuping; Yang, Kehu; Sha, Yongzhong] Lanzhou Univ, Sch Publ Hlth, Evidence Based Social Sci Res Ctr, 199 Donggang Rd, Lanzhou, Gansu, Peoples R China.
   [Zhang, Qingxia] Gansu Univ Polit Sci & Law, Sch Publ Management, Lanzhou, Gansu, Peoples R China.
   [Song, Xuping; Yang, Kehu] Lanzhou Univ, Sch Basic Med Sci, Evidence Based Med Ctr, Lanzhou, Gansu, Peoples R China.
C3 Lanzhou University; Lanzhou University; Gansu University of Political
   Science & Law; Lanzhou University
RP Sha, YZ (corresponding author), Lanzhou Univ, Sch Management, 222 Tianshui South Rd, Lanzhou, Gansu, Peoples R China.; Sha, YZ (corresponding author), Lanzhou Univ, Sch Publ Hlth, Evidence Based Social Sci Res Ctr, 199 Donggang Rd, Lanzhou, Gansu, Peoples R China.
EM Shayzh@lzu.edu.cn
RI Huixia, Yang/W-5128-2019; Zhang, Xuchao/P-9009-2015
OI Yang, Hehu/0000-0001-7864-3012
FU Key Project of China Ministry of Education for Philosophy and Social
   Science under Big Data Driven Risk Research on City's Public Safety
   [16JZD023]; Fundamental Research Funds for the Central Universities
   under Big Data Driven Risk Pre-Warning Research on City's Public Safety
   [17LZUJBWZD012]; Lanzhou university under Evidence-based Social Science
   Research [16LZUJBWTD013, 18LZUJBWZX006]
FX This work was supported by the Key Project of China Ministry of
   Education for Philosophy and Social Science under Big Data Driven Risk
   Research on City's Public Safety [grant number 16JZD023]; the
   Fundamental Research Funds for the Central Universities under Big Data
   Driven Risk Pre-Warning Research on City's Public Safety [grant number
   17LZUJBWZD012] and Lanzhou university under Evidence-based Social
   Science Research [grant number 16LZUJBWTD013, 18LZUJBWZX006].
CR Albright EA, 2015, URBAN CLIM, V14, P79, DOI 10.1016/j.uclim.2015.06.008
   Alexander D., 2002, Principles of emergency planning and management, V2, P229
   Argyris ChrisSchon., 1974, Theory in practice: Increasing professional effectiveness
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Ashley RM, 2012, J FLOOD RISK MANAG, V5, P14, DOI 10.1111/j.1753-318X.2011.01108.x
   Bakema MM, 2019, DISASTERS, V43, P431, DOI 10.1111/disa.12322
   Ballard H.L., 2013, Resilience in Social-Ecological Systems, P152
   Bandura A., 1997, EFFICACY EXERCISE CO, DOI [10.1891/08898391.13.2.158, DOI 10.1891/08898391.13.2.158]
   Bateson Gregory, 1972, STEPS ECOLOGY MIND, DOI DOI 10.1080/21670811.2017.1345645
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Bhamra R, 2011, INT J PROD RES, V49, P5375, DOI 10.1080/00207543.2011.563826
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P512, DOI 10.1016/j.envsci.2007.02.007
   Boyd E, 2014, GLOBAL ENVIRON CHANG, V26, P140, DOI 10.1016/j.gloenvcha.2014.03.012
   Boyd E, 2010, ENVIRON EDUC RES, V16, P629, DOI 10.1080/13504622.2010.505444
   Brody SD, 2009, RISK ANAL, V29, P912, DOI 10.1111/j.1539-6924.2009.01210.x
   Broto VC, 2014, TECHNOL FORECAST SOC, V84, P186, DOI 10.1016/j.techfore.2013.08.002
   Brugnach M, 2008, ECOL SOC, V13
   Cernesson F., 2005, Learning Together to Manage Together. Improving Participation in Water Management
   Chung CJ, 2019, COMPUT EDUC, V129, P1, DOI 10.1016/j.compedu.2018.10.010
   Comfort LouiseK., 1988, Managing Disaster: Strategies and Policy Perspectives
   Cook WM, 2004, FRONT ECOL ENVIRON, V2, P467
   Cundill G, 2014, NJAS-WAGEN J LIFE SC, V69, P39, DOI 10.1016/j.njas.2013.04.001
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Darkow PM, 2019, J CONTING CRISIS MAN, V27, P145, DOI 10.1111/1468-5973.12246
   Dawes SS, 2004, SOC SCI COMPUT REV, V22, P52, DOI 10.1177/0894439303259887
   Dieleman H, 2013, J CLEAN PROD, V50, P171, DOI 10.1016/j.jclepro.2012.11.027
   Ernst A, 2019, ECOL SOC, V24, DOI 10.5751/ES-10599-240103
   Evers M, 2012, NAT HAZARD EARTH SYS, V12, P2821, DOI 10.5194/nhess-12-2821-2012
   Fang CY, 2014, INT CONF GEOINFORM
   Feng SH, 2018, DISASTER PREV MANAG, V27, P43, DOI 10.1108/DPM-07-2017-0157
   Flood RL, 1996, KYBERNETES, V25, P154, DOI 10.1108/03684929610149747
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   FONE M, 2005, MANAGING RISKS PUBLI, P49
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P90, DOI 10.1016/j.envsci.2016.01.010
   Garschagen M, 2011, LOCAL SUSTAIN, V1, P131, DOI 10.1007/978-94-007-0785-6_13
   Ge L, 2018, J CLIN EPIDEMIOL, V93, P45, DOI 10.1016/j.jclinepi.2017.10.012
   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
   Hagemeier-Klose M, 2014, INT J DISAST RISK SC, V5, P21, DOI 10.1007/s13753-014-0015-4
   Han ZQ, 2017, NAT HAZARDS, V86, P437, DOI 10.1007/s11069-016-2699-9
   Harden A, 2018, J CLIN EPIDEMIOL, V97, P70, DOI 10.1016/j.jclinepi.2017.11.029
   Harris JL, 2018, J CLIN EPIDEMIOL, V97, P39, DOI 10.1016/j.jclinepi.2017.10.023
   Hooli LJ, 2016, REG ENVIRON CHANGE, V16, P695, DOI 10.1007/s10113-015-0782-5
   *IAGS, 2004, MUCH DID SEPT 11 TER
   ISDR U, 2005, WORLD C DIS RED
   Johannessen Å, 2017, ECOL SOC, V22, DOI 10.5751/ES-08870-220101
   Jones NA, 2011, ECOL SOC, V16
   KAPUCU N, 2013, DISASTER RESILIENCY, P121
   Kates RW., 1962, HAZARD CHOICE PERCEP, P78
   Klinke A, 2010, REGULATING CHEMICAL RISKS: EUROPEAN AND GLOBAL CHALLENGES, P9, DOI 10.1007/978-90-481-9428-5_2
   KRAIGER K, 1993, J APPL PSYCHOL, V78, P311, DOI 10.1037/0021-9010.78.2.311
   Kroepsch A, 2018, ENVIRON COMMUN, V12, P132, DOI 10.1080/17524032.2017.1371053
   Lassa JA, 2015, ENVIRON URBAN, V27, P161, DOI 10.1177/0956247814552233
   Lebel L., 2006, Governance and the capacity to manage resilience in regional social-ecological systems
   Leont'ev A., 1981, Problems of the development of mind
   Li XX, 2015, HEALTH POLICY, V119, P503, DOI 10.1016/j.healthpol.2014.09.002
   Li XX, 2018, J PUBLIC HEALTH-HEID, V26, P127, DOI 10.1007/s10389-017-0858-4
   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]
   Lorenz DF, 2013, NAT HAZARDS, V67, P7, DOI 10.1007/s11069-010-9654-y
   Macdonald G, 2012, COCHRANE DB SYST REV, DOI 10.1002/14651858.CD001930.pub3
   May PJ., 1986, Disaster Policy Implementation
   McEwen L, 2018, INT J DISAST RISK RE, V27, P329, DOI 10.1016/j.ijdrr.2017.10.018
   McMillen H, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080775
   Miller F, 2010, ECOL SOC, V15
   Molina E, 2017, J DEV EFFECT, V9, P462, DOI 10.1080/19439342.2017.1378243
   Murti R, 2019, INT J DISAST RISK RE, V33, P433, DOI 10.1016/j.ijdrr.2018.09.018
   Noyes J, 2018, J CLIN EPIDEMIOL, V97, P49, DOI 10.1016/j.jclinepi.2017.06.020
   O'Donnell EC, 2018, ENVIRON SCI POLICY, V80, P1, DOI 10.1016/j.envsci.2017.10.013
   OLAZABAL M, 2012, REPORT MULTIDISCIPLI
   ORLEANSREED S, 2013, ENVIRON URBAN, V25, P393
   Pahl-Wostl C, 2006, ECOL SOC, V11
   Pahl-Wostl C, 2013, ECOL SOC, V18, DOI 10.5751/ES-05554-180233
   Pelling M., 2003, Natural Disasters and development in a globalizing world
   *PRC CAB, 2016, TIANJ PORT 8 12 RUIH
   Prell C, 2010, ECOL SOC, V15
   Renn O, 2008, INT RISK GOV COUNC B, V1, P1, DOI 10.1007/978-1-4020-6799-0
   Rist L, 2013, ECOL SOC, V18, DOI 10.5751/ES-06183-180463
   Rogers P., 2013, EVALUATION-US, V14, P29, DOI [10.1177/1356389007084674, DOI 10.1177/1356389007084674]
   Ross A.D., 2013, Local disaster resilience: Administrative and political perspectives, DOI DOI 10.4324/9780203551912
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Sanchez AX, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0074-z
   SCHAUPPENLEHNER.E, 2016, SUSTAINABILITY-BASEL, V8, P18, DOI DOI 10.3390/su8070664
   Scolobig A, 2016, NAT HAZARDS, V81, pS7, DOI 10.1007/s11069-015-1702-1
   Sellnow TL, 2009, FOOD MICROBIOL FOOD, P3, DOI 10.1007/978-0-387-79727-4_1
   Sharifi A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9061032
   Siebenhüner B, 2016, ENVIRON SCI POLICY, V55, P116, DOI 10.1016/j.envsci.2015.09.010
   Slack MK, 2013, J INTERPROF CARE, V27, P408, DOI 10.3109/13561820.2013.785501
   Smillie L, 2010, J RISK RES, V13, P115, DOI 10.1080/13669870903503655
   Smith JG, 2016, SUSTAIN SCI, V11, P441, DOI 10.1007/s11625-015-0348-y
   STAVEREN MV, 2019, RISK INNOVATION CHAN
   STAVEREN MV, 2008, RISK INNOVATION CHAN
   THOMAS J, 2012, NCRM RES METHODS FES
   Tian JH, 2017, J CLIN EPIDEMIOL, V85, P50, DOI 10.1016/j.jclinepi.2016.12.004
   Tidball KG, 2010, ENVIRON EDUC RES, V16, P591, DOI 10.1080/13504622.2010.505437
   Timmerman Peter., 1981, Environmental Monograph, V1, DOI [10.1002/joc.3370010412, DOI 10.1002/JOC.3370010412]
   Toubin M, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000229
   Trujillo Elena Maria, 2015, Int J Adolesc Med Health, V27, P3, DOI 10.1515/ijamh-2014-0003
   Turner B A., 1978, Man-made disasters The Wykeham science series
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   Vaessen J., 2014, Campbell Systematic Reviews, V10, P1, DOI DOI 10.4073/CSR.2014.8
   van der Knaap LM, 2008, AM J EVAL, V29, P48, DOI 10.1177/1098214007313024
   Vygotsky L., 1978, Mind and society
   Wamsler C, 2014, ROUTL CRIT INTRO URB, P1
   Wang XQ, 2018, J CLIN EPIDEMIOL, V98, P1, DOI 10.1016/j.jclinepi.2017.12.021
   Weichselgartner J, 2015, INT J DISAST RISK SC, V6, P107, DOI 10.1007/s13753-015-0052-7
   WEST C, 2002, GOOD CITIZEN, P5
   White GF., 2001, GLOB ENV CHANGE PART, V3, P81, DOI [DOI 10.1016/S1464-2867(01)00021-3, 10.3763/ehaz.2001.0308]
   Witting A, 2017, POLICY SOC, V36, P251, DOI 10.1080/14494035.2017.1322772
   WORLDBANK, 2010, NATURAL HAZARDS UNNA
   Zakour M. J., 2017, Creating Katrina, Rebuilding Resilience: Lesson from New Oleans on Vulnerability and Resiliency, DOI DOI 10.1016/3978-0-12-809557-7-00003-X
NR 110
TC 11
Z9 14
U1 5
U2 93
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 JAN 1
PY 2020
VL 19
IS 1
SI SI
BP 107
EP 129
DI 10.1080/17477891.2019.1671786
EA OCT 2019
PG 23
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JZ5DV
UT WOS:000490455100001
DA 2025-04-22
ER

PT J
AU Yu, RX
   Xia, XN
   Huang, T
   Zhang, S
   Zhou, WG
AF Yu, Ruoxi
   Xia, Xingneng
   Huang, Tao
   Zhang, Sheng
   Zhou, Wenguang
TI Has the Establishment of High-Tech Zones Improved Urban Economic
   Resilience? Evidence from Prefecture-Level Cities in China
SO LAND
LA English
DT Article
DE high-tech zones; urban economic resilience; difference-in-differences
   method
ID INNOVATION; GROWTH; REGIONS; PERSPECTIVE; PERFORMANCE; EMPLOYMENT;
   KNOWLEDGE; CLUSTERS; IMPACT
AB The establishment of high-tech zones in China represents a significant policy tool aimed at fostering urban scientific and technological innovation while ensuring steady and sustainable economic growth. Using high-tech zones as a quasi-natural experiment and 233 prefecture-level cities in China from 1990 to 2021 as a research sample, this article constructs a difference-in-difference model to test the impact of high-tech zones on urban economic resilience. Our findings reveal several key insights. First, high-tech zones play a crucial role in enhancing urban economic resilience, which is robust across multiple tests. Second, there is significant variation in the influence of high-tech zones on urban economic resilience. Large cities, cities in the Yangtze River Economic Belt (YEB), and eastern cities are more affected than other cities. Third, improving urban innovation ability and optimizing resource allocation are important ways through which high-tech zones influence urban economic resilience. These findings contribute significantly to the evaluation of the high-tech zones policy and form empirical evidence of the policy arrangements' regional-level impact on economic resilience.
C1 [Yu, Ruoxi; Xia, Xingneng; Huang, Tao; Zhang, Sheng] Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian 710049, Peoples R China.
   [Zhou, Wenguang] Northwest Univ, Sch Publ Management, Xian 710127, Peoples R China.
C3 Xi'an Jiaotong University; Northwest University Xi'an
RP Zhang, S (corresponding author), Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian 710049, Peoples R China.
EM yuruoxi@stu.xjtu.edu.cn; xiaxingneng1991@stu.xjtu.edu.cn;
   htao1996@stu.xjtu.edu.cn; zhangsheng_xjtu@163.com;
   zhouwenguang0411@126.com
RI Huang, Tao/ITU-9131-2023; zhou, wenguang/W-4012-2019
OI Xia, Xingneng/0009-0004-7941-8086; Yu, Ruoxi/0009-0008-7903-7629; Huang,
   Tao/0009-0006-5534-2691
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Bashir MF, 2020, AIR QUAL ATMOS HLTH, V13, P1403, DOI 10.1007/s11869-020-00894-8
   Beg N, 2002, CLIM POLICY, V2, P129, DOI 10.1016/S1469-3062(02)00028-1
   Boschma R, 2015, IND CORP CHANGE, V24, P223, DOI 10.1093/icc/dtu012
   Bosworth B, 2008, J ECON PERSPECT, V22, P45, DOI 10.1257/jep.22.1.45
   Brada JC, 2021, INT REV FINANC ANAL, V74, DOI 10.1016/j.irfa.2021.101658
   Bristow G., 2020, Handbook on Regional Economic Resilience, DOI [10.1128/AEM.01906-10, DOI 10.1128/JB.00542-10]
   Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Buzási A, 2023, AMBIO, V52, P616, DOI 10.1007/s13280-022-01817-w
   Carayannis EG, 2018, R&D MANAGE, V48, P148, DOI 10.1111/radm.12300
   Chacon-Hurtado D, 2020, J TRANSP GEOGR, V84, DOI 10.1016/j.jtrangeo.2020.102695
   Dakos V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5767
   Davies A, 2010, GEOGR RES-AUST, V48, P223, DOI 10.1111/j.1745-5871.2009.00627.x
   Deng Y, 2023, RESOUR POLICY, V82, DOI 10.1016/j.resourpol.2023.103522
   DeWit A, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101808
   Dong XF, 2018, TRANSPORT RES A-POL, V116, P603, DOI 10.1016/j.tra.2018.07.010
   Dubé J, 2016, REG STUD, V50, P615, DOI 10.1080/00343404.2015.1020291
   Dutta P, 2020, TRANSPORT RES E-LOG, V142, DOI 10.1016/j.tre.2020.102067
   Etzkowitz H, 2005, R&D MANAGE, V35, P243, DOI 10.1111/j.1467-9310.2005.00387.x
   Feng Y, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104273
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Garnsey E, 2006, COMPLEXITY AND CO-EVOLUTION: CONTINUITY AND CHANGE IN SOCIO-ECONOMIC SYSTEMS, P1
   Gordon IR, 2005, J ECON GEOGR, V5, P523, DOI 10.1093/jeg/lbh072
   Grim RG, 2020, ENERG ENVIRON SCI, V13, P472, DOI 10.1039/c9ee02410g
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Howitt P, 2000, AM ECON REV, V90, P829, DOI 10.1257/aer.90.4.829
   Huang Y, 2018, J CLEAN PROD, V202, P1056, DOI 10.1016/j.jclepro.2018.08.202
   Hundt C, 2020, GROWTH CHANGE, V51, P180, DOI 10.1111/grow.12356
   Jiang YP, 2023, URBAN GEOGR, V44, P752, DOI 10.1080/02723638.2022.2041821
   Khan SAR, 2019, SUSTAIN DEV, V27, P1063, DOI 10.1002/sd.1958
   Kitsos T, 2023, ECON GEOGR, V99, P227, DOI 10.1080/00130095.2023.2174514
   Kline P, 2014, ANNU REV ECON, V6, P629, DOI 10.1146/annurev-economics-080213-041024
   Lawrence RZ, 2018, CHINA WORLD ECON, V26, P62, DOI 10.1111/cwe.12256
   Lee S, 2023, URBAN STUD, V60, P26, DOI 10.1177/00420980211064455
   Li Weihong, 2023, Procedia Computer Science, P338, DOI 10.1016/j.procs.2023.07.046
   Li XY, 2023, ENVIRON SCI POLLUT R, V30, P52241, DOI 10.1007/s11356-023-26025-1
   Li XY, 2023, INT REV FINANC ANAL, V86, DOI 10.1016/j.irfa.2023.102545
   Liu BL, 2023, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.1097243
   Liu FC, 2011, RES POLICY, V40, P917, DOI 10.1016/j.respol.2011.05.005
   Liu LJ, 2020, RESOUR ENERGY ECON, V59, DOI 10.1016/j.reseneeco.2019.101144
   Liu NN, 2021, OECON COPERNIC, V12, P217, DOI 10.24136/oc.2021.009
   Liu YL, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102801
   Lu XH, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104583
   Ma T, 2023, REG STUD, V57, P590, DOI 10.1080/00343404.2022.2093342
   Ma Y.-F., 2005, ASIAN BUS MANAG, V4, P331, DOI [10.1057/palgrave.abm.9200135, DOI 10.1057/PALGRAVE.ABM.9200135]
   Marcus M, 2021, J ASSOC ENVIRON RESO, V8, P235, DOI 10.1086/711509
   Martin R, 2019, PAP REG SCI, V98, P1801, DOI 10.1111/pirs.12430
   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
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mian S, 2016, TECHNOVATION, V50-51, P1, DOI 10.1016/j.technovation.2016.02.005
   NORTH DC, 1994, AM ECON REV, V84, P359
   Nyström K, 2018, REG STUD, V52, P4, DOI 10.1080/00343404.2016.1262944
   Oprea F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104228
   Ormerod P, 2010, APPL ECON LETT, V17, P503, DOI 10.1080/13504850801964331
   Peng JD, 2023, J URBAN MANAG, V12, P344, DOI 10.1016/j.jum.2023.07.004
   Porter ME, 2000, ECON DEV Q, V14, P15, DOI 10.1177/089124240001400105
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Rose A, 2013, INT J DISAST RISK RE, V5, P73, DOI 10.1016/j.ijdrr.2013.08.003
   Sabatino M, 2016, J BUS RES, V69, P1924, DOI 10.1016/j.jbusres.2015.10.081
   Salman M, 2019, J CLEAN PROD, V241, DOI 10.1016/j.jclepro.2019.118331
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sutton J, 2022, REG STUD REG SCI, V9, P497, DOI 10.1080/21681376.2022.2092418
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Tan J, 2006, J BUS VENTURING, V21, P827, DOI 10.1016/j.jbusvent.2005.06.006
   Tóth G, 2022, ECON GEOGR, V98, P355, DOI 10.1080/00130095.2022.2035715
   Tu WJ, 2023, J INNOV KNOWL, V8, DOI 10.1016/j.jik.2022.100287
   Urata S, 2020, ASIAN ECON POLICY R, V15, P141, DOI 10.1111/aepr.12279
   Wang XB, 2021, ENVIRON SCI POLLUT R, V28, P1097, DOI 10.1007/s11356-020-10553-1
   Webber DJ, 2018, ECON GEOGR, V94, P355, DOI 10.1080/00130095.2017.1419057
   Wong SW, 2005, CITIES, V22, P303, DOI 10.1016/j.cities.2005.05.008
   Xie KF, 2018, TECHNOL FORECAST SOC, V135, P156, DOI 10.1016/j.techfore.2018.01.021
   Yang C, 2023, J ASIA PAC ECON, V28, P972, DOI 10.1080/13547860.2021.1961988
   Yang SY, 2022, LAND-BASEL, V11, DOI 10.3390/land11010059
   Zergawu YZ, 2020, J I ECON, V16, P481, DOI 10.1017/S1744137420000016
   Zhang JF, 2011, REG SCI URBAN ECON, V41, P145, DOI 10.1016/j.regsciurbeco.2010.12.002
   Zheng G, 2016, CHINA ECON REV, V38, P238, DOI 10.1016/j.chieco.2016.01.001
   Zhou Q, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104983
   Zhou Q, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104084
   Zhou XX, 2021, TECHNOL FORECAST SOC, V167, DOI 10.1016/j.techfore.2021.120671
   Zhuang L, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104512
   Zou YH, 2014, J TECHNOL TRANSFER, V39, P663, DOI 10.1007/s10961-013-9314-y
NR 86
TC 2
Z9 2
U1 15
U2 64
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD FEB
PY 2024
VL 13
IS 2
AR 241
DI 10.3390/land13020241
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IX6V7
UT WOS:001169687000001
OA gold
DA 2025-04-22
ER

PT J
AU Chen, GH
   Li, JL
   Li, XF
   Chen, WS
AF Chen, Guohua
   Li, Jialing
   Li, Xiaofeng
   Chen, Weisong
TI A method for assessing the resilience of urban interdependent systems
   integrating physical damage and social loss
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Physical-social systems; Urban resilience assessment; Dynamic
   resilience; Disaster evolution
ID INFRASTRUCTURE; DISRUPTION
AB As systems in urban areas become increasingly interdependent, the effects of disasters extend beyond facilities damage, precipitating casualties, and public service disruptions. Establishing a holistic resilience assessment method is crucial for urban sustainability planning. Existing resilience assessment methods often focus on the physical damage; however, few studies examine the social loss. This study proposes a resilience assessment method that integrates physical damage and social loss. A multilayer network model of physical-social systems is first developed based on their interdependency. Then, the evolution of disaster damage within and between systems process, and the multi-task parallel restoration process are quantified. Resilience is assessed by measuring dynamic changes in service supply and demand throughout these processes. The method considers social loss as a combination of population harm and service interruption caused by physical damage. The proposed method was applied to an urban area in Southern China. The results reveal the impact of seismic events on infrastructure, buildings, and populations. Furthermore, they demonstrate the coupling impacts of supply and transportation on emergency and healthcare systems' resilience. This comprehensive method could facilitate the development of efficient strategies to improve urban resilience to disasters.
C1 [Chen, Guohua; Li, Jialing; Li, Xiaofeng] South China Univ Technol, Inst Safety Sci & Engn, 81 Wushan Rd, Guangzhou 510640, Guangdong, Peoples R China.
   [Chen, Weisong] Guangzhou Southern Investment Grp Co Ltd, Guangzhou, Peoples R China.
C3 South China University of Technology
RP Chen, GH (corresponding author), South China Univ Technol, Inst Safety Sci & Engn, 81 Wushan Rd, Guangzhou 510640, Guangdong, Peoples R China.
EM mmghchen@scut.edu.cn
RI Li, Xiaofeng/AAA-5906-2020
FU Science and Technology Planning Project of Guangdong Province, China
   [2019B020208011]; Guangdong Higher Education Teaching Reform Project
   [202304375]
FX This work was supported by the Science and Technology Planning Project
   of Guangdong Province, China (2019B020208011) , and the Guangdong Higher
   Education Teaching Reform Project (202304375) .
CR Abbou A, 2022, J INFRASTRUCT SYST, V28, DOI 10.1061/(ASCE)IS.1943-555X.0000715
   Aghababaei M, 2023, COMPUT-AIDED CIV INF, V38, P920, DOI 10.1111/mice.12916
   Almulhim AI, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2024.105172
   Aminshokravi A, 2024, SUSTAIN CITIES SOC, V104, DOI 10.1016/j.scs.2024.105303
   Anwar GA, 2023, B EARTHQ ENG, V21, P633, DOI 10.1007/s10518-022-01557-y
   Bakhtiari S, 2024, SUSTAIN CITIES SOC, V104, DOI 10.1016/j.scs.2024.105294
   Blagojevic N, 2023, STRUCT INFRASTRUCT E, V19, P1696, DOI 10.1080/15732479.2022.2052912
   Boakye J, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108184
   Brunner LG, 2024, RELIAB ENG SYST SAFE, V241, DOI 10.1016/j.ress.2023.109653
   Buldyrev SV, 2010, NATURE, V464, P1025, DOI 10.1038/nature08932
   Chatterjee C, 2015, INT J DISAST RISK RE, V14, P395, DOI 10.1016/j.ijdrr.2015.09.005
   Chen C, 2021, RELIAB ENG SYST SAFE, V207, DOI 10.1016/j.ress.2020.107349
   Chen WY, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102689
   Danziger MM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28379-5
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   Dong SJ, 2020, COMPUT ENVIRON URBAN, V80, DOI 10.1016/j.compenvurbsys.2019.101443
   Du A, 2023, RELIAB ENG SYST SAFE, V233, DOI 10.1016/j.ress.2023.109104
   Dubaniowski MI, 2020, RELIAB ENG SYST SAFE, V203, DOI 10.1016/j.ress.2020.107063
   Esmalian A, 2022, COMPUT-AIDED CIV INF, V37, P1491, DOI 10.1111/mice.12818
   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
   FEMA, 2022, Hazus WWW Document
   Gao JX, 2016, NATURE, V530, P307, DOI 10.1038/nature16948
   Gu Y, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.11.003
   Guidotti R, 2019, RELIAB ENG SYST SAFE, V185, P476, DOI 10.1016/j.ress.2019.01.008
   Hafeznia H, 2023, APPL ENERG, V349, DOI 10.1016/j.apenergy.2023.121558
   He X, 2022, SUSTAIN RESIL INFRAS, V7, P391, DOI 10.1080/23789689.2020.1871541
   Hughes W, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103951
   Jaafari A, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105051
   Kong JJ, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104510
   Li J, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101685
   Li ZS, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103730
   Liu WY, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105109
   Lu H, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103167
   Masoomi H, 2018, STRUCT INFRASTRUCT E, V14, P275, DOI 10.1080/15732479.2017.1354030
   Men JK, 2022, RELIAB ENG SYST SAFE, V226, DOI 10.1016/j.ress.2022.108723
   Men JK, 2023, IEEE SYST J, V17, P1637, DOI 10.1109/JSYST.2022.3182983
   Men J, 2023, IEEE SYST J, V17, P1626, DOI 10.1109/JSYST.2022.3182994
   Men JK, 2022, IEEE T INTELL TRANSP, V23, P20978, DOI 10.1109/TITS.2022.3180743
   Muehlhofer E, 2023, RELIAB ENG SYST SAFE, V234, DOI 10.1016/j.ress.2023.109194
   Nofal O. M., 2023, Resilient Cities and Structures, V2, P67, DOI DOI 10.1016/J.RCNS.2023.07.003
   Nofal O, 2024, COMPUT-AIDED CIV INF, V39, P1099, DOI 10.1111/mice.13135
   Poudel A, 2024, INT J DISAST RISK RE, V103, DOI 10.1016/j.ijdrr.2024.104304
   Sediek OA, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000538
   Sediek OA, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000413
   Sen Gupta H, 2024, INT J DISAST RISK RE, V100, DOI 10.1016/j.ijdrr.2023.104125
   Sharma N, 2022, RELIAB ENG SYST SAFE, V217, DOI 10.1016/j.ress.2021.108042
   Sharma N, 2020, COMPUT-AIDED CIV INF, V35, P1315, DOI 10.1111/mice.12606
   Song ZY, 2022, INT J DISAST RISK RE, V74, DOI 10.1016/j.ijdrr.2022.102934
   Stock A, 2023, NAT HAZARDS, V115, P2279, DOI 10.1007/s11069-022-05638-8
   Stojadinovic Z, 2022, EARTHQ SPECTRA, V38, P152, DOI 10.1177/87552930211042393
   Thacker S, 2017, RELIAB ENG SYST SAFE, V167, P30, DOI 10.1016/j.ress.2017.04.023
   Tornyeviadzi HM, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108217
   Vespignani A, 2010, NATURE, V464, P984, DOI 10.1038/464984a
   Witt E, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103757
   Wu YY, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103754
   Yang YF, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101859
   Yang YS, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104737
   Zheng H, 2023, INT J DISAST RISK SC, DOI 10.1007/s13753-023-00509-7
NR 59
TC 0
Z9 0
U1 32
U2 32
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 15
PY 2024
VL 115
AR 105866
DI 10.1016/j.scs.2024.105866
EA OCT 2024
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 I9D0R
UT WOS:001333175400001
DA 2025-04-22
ER

PT J
AU Krishnan, S
   Aydin, NY
   Comes, T
AF Krishnan, Supriya
   Aydin, Nazli Yonca
   Comes, Tina
TI RISE-UP: Resilience in urban planning for climate uncertainty-empirical
   insights and theoretical reflections from case studies in Amsterdam and
   Mumbai
SO CITIES
LA English
DT Article
DE Urban resilience; Long-term urban planning; Uncertainty; Qualitative
   research; Cities; Case study
ID ADAPTATION; CITIES; FRAMEWORK; MITIGATION; STRATEGIES; POLICY; AREAS;
   CITY
AB Climate change is one of the main drivers of uncertainty in urban planning, but only a few studies systematically address these uncertainties, especially in the long term. Urban resilience theory presents principles to manage uncertainty but largely focuses on individual urban systems rather than complex interdependent dynamics. Further, most planning and resilience theory originates from the Global North and is unsuitable for capturing the dynamics of the Global South. This study uses an exploratory multi-case analysis towards developing an enhanced understanding of urban planning for climate uncertainty. We argue that long-term urban planning for climate uncertainty can benefit from systematically integrating resilience principles. We use a two-step quali-tative research approach: (1) To propose a conceptual framework connecting urban resilience principles, ap-proaches to urban planning under uncertainty and planning responses in urban systems. (2) To use the conceptual framework to analyse climate-related planning responses in two contrasting case studies in the Global North (GN) and Global South (GS) (Amsterdam and Mumbai). We conclude with four propositions towards an enhanced understanding of urban planning for climate uncertainty by drawing upon the empirical insights from the two case studies.
C1 [Krishnan, Supriya; Aydin, Nazli Yonca; Comes, Tina] Delft Univ Technol, Fac Technol Policy & Management, Resilience Lab, Room B1 190,Bldg 31,Jaffalaan 5, NL-2628 BX Delft, Netherlands.
C3 Delft University of Technology
RP Krishnan, S (corresponding author), Delft Univ Technol, Fac Technol Policy & Management, Resilience Lab, Room B1 190,Bldg 31,Jaffalaan 5, NL-2628 BX Delft, Netherlands.
EM s.krishnan@tudelft.nl; n.y.aydin@tudelft.nl; t.comes@tudelft.nl
RI Krishnan, Supriya/Z-5550-2019; Comes, Tina/AAM-2361-2020; AYDIN, NAZLI
   YONCA/M-4991-2018; Comes, Tina/G-2076-2016
OI AYDIN, NAZLI YONCA/0000-0002-9628-8998; Comes, Tina/0000-0002-8721-8314
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alien P. M., 2005, European Journal of Economic and Social Systems, V18, P171
   [Anonymous], 2022, CONTRIBUTION WORKING
   Ataman C, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103462
   Bartlett S., 2009, 2 5 URBAN RES S CITI, P670
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bryman A., 2016, Social research methods
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   City of Amsterdam, 2014, AMSTERDAM RAINPROOF
   Collier MJ, 2013, CITIES, V32, pS21, DOI 10.1016/j.cities.2013.03.010
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Dessai S., 2007, UNCERTAINTY CLIMATE
   Dhar TK, 2017, URBAN CLIM, V19, P72, DOI 10.1016/j.uclim.2016.12.004
   Dominguez D, 2011, WATER POLICY, V13, P299, DOI 10.2166/wp.2010.109
   Dubois A, 2002, J BUS RES, V55, P553, DOI 10.1016/S0148-2963(00)00195-8
   Eisenhardt KM, 2021, STRATEG ORGAN, V19, P147, DOI 10.1177/1476127020982866
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Forest Ministry of Environment & GoM Climate Change, 2011, COAST REG ZON NOT
   Frantzeskaki N., 2018, FUTURE CITY, V11
   Galderisi A., 2014, Z Magazine (Boston, V11, P36
   Giordano T, 2012, UTIL POLICY, V23, P80, DOI 10.1016/j.jup.2012.07.001
   Global Infrastructure Outlook, 2017, Infrastructure Investment Needs 50 Countries, 7 Sectors to 2040
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   GoM Department of Environment, 2014, MAH STAT AD ACT PLAN
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gupta K., 2007, Urb. Wat. J, V4, P183, DOI DOI 10.1080/15730620701464141
   Haasnoot M, 2018, GLOBAL ENVIRON CHANG, V52, P273, DOI 10.1016/j.gloenvcha.2018.08.003
   Hayes S, 2019, TRANSPORT REV, V39, P677, DOI 10.1080/01441647.2019.1612480
   Healey P, 2006, RTPI LIB SER, P1
   Hennink M, 2022, SOC SCI MED, V292, DOI 10.1016/j.socscimed.2021.114523
   Holling C. S., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Khosla R, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.560
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Krishnankutty M., 2018, INTERROGATING LAND U
   Kumagai Y., 2010, Critical Planning no, V17, P66
   Lak A, 2020, J ENVIRON PLANN MAN, V63, P2194, DOI 10.1080/09640568.2020.1714561
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   Marchau V. A. W. J., 2019, Decision making under deep uncertainty: From theory to practice
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Marin J, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102541
   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
   Moroni S., 2021, HDB CITIES COMPLEXIT
   MRA, 2021, RES DES METR AMST
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Nature Ministry of Agriculture & NL Food Quality, NAT EC NETW NEN
   Rauws W, 2017, DISP, V53, P32, DOI 10.1080/02513625.2017.1316539
   Ravitch S.M., 2016, Reason rigor: How conceptual frameworks guide research
   Roggema R, 2009, ADAPTATION TO CLIMATE CHANGE: A SPATIAL CHALLENGE, P1, DOI 10.1007/978-1-4020-9359-3
   Roggema R, 2012, SMART SUSTAIN BUILT, V1, P29, DOI 10.1108/20466091211227043
   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
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Solecki W, 2015, URBAN CLIM, V14, P116, DOI 10.1016/j.uclim.2015.07.001
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Susskind L, 2010, TOWN PLAN REV, V81, P217, DOI 10.3828/tpr.2010.5
   Tabibian M, 2016, SCI IRAN, V23, P2081, DOI 10.24200/sci.2016.2273
   Tasan-Kok T, 2008, INT PLAN STUD, V13, P183, DOI 10.1080/13563470802521382
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   vanAsselt MBA, 1996, GLOBAL ENVIRON CHANG, V6, P121, DOI 10.1016/0959-3780(96)00015-5
   Walker W.E., 2003, Integrated assessment, V4, P5, DOI DOI 10.1076/IAIJ.4.1.5.16466
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Wardekker J., 2018, Solutions, V9
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Zimmerman R., 2001, NEW YORK U WORKSH LE, P222
NR 78
TC 10
Z9 10
U1 7
U2 27
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD OCT
PY 2023
VL 141
AR 104464
DI 10.1016/j.cities.2023.104464
EA JUL 2023
PG 19
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA P2MI6
UT WOS:001049028900001
OA hybrid
DA 2025-04-22
ER

PT J
AU Li, DW
   Liu, YP
   Song, YC
   Ye, ZH
   Liu, DJ
AF Li, Dawei
   Liu, Yiping
   Song, Yuchen
   Ye, Zhenghao
   Liu, Dongjie
TI A Framework for Assessing Resilience in Urban Mobility: Incorporating
   Impact of Ridesharing
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE resilience; system safety; urban mobility; ridesharing; population
   density
ID USER EQUILIBRIUM; BENEFITS; SYSTEMS
AB To a certain degree, the resilience of the transportation system expresses the safety of the transportation system, because it reflects the ability of the system to maintain its function in the face of disturbance events. In the current research, the assessment of the resilience of urban mobility is attractive and challenging. Apart from this, the concept of green mobility has been popular in recent years. As a representative way of shared mobility, the implementation of ridesharing will affect the level of urban mobility resilience to a certain extent. In this paper, we use a data low-intensity method to evaluate the urban traffic resilience under the circumstance of restricted car use. In addition, we incorporate the impact of ridesharing services. The research in this paper can be regarded as an evaluation framework, which can help policy makers and relevant operators to grasp the overall resilience characteristics of cities in emergencies, identify weak sectors, and formulate the best response plan. This method has been successfully applied to two cities in China, demonstrating its potential for practice. Finally, we also explored the relationship between urban traffic resilience and the pattern of population distribution. The analysis shows that population density has an impact on the level of transportation resilience. And the incorporation of ridesharing will bring an obvious increment in resilience of most areas.
C1 [Li, Dawei; Liu, Yiping; Song, Yuchen; Ye, Zhenghao; Liu, Dongjie] Southeast Univ, Jiangsu Key Lab Urban ITS, 2 Dongnandaxue Rd, Nanjing 211189, Peoples R China.
   [Li, Dawei; Liu, Yiping; Song, Yuchen; Ye, Zhenghao; Liu, Dongjie] Jiangsu Prov Collaborat Innovat Ctr Modern Urban, 2 Dongnandaxue Rd, Nanjing 211189, Peoples R China.
   [Li, Dawei; Liu, Yiping; Song, Yuchen; Ye, Zhenghao; Liu, Dongjie] Southeast Univ, Sch Transportat, 2 Dongnandaxue Rd, Nanjing 211189, Peoples R China.
C3 Southeast University - China; Southeast University - China
RP Liu, YP (corresponding author), Southeast Univ, Jiangsu Key Lab Urban ITS, 2 Dongnandaxue Rd, Nanjing 211189, Peoples R China.; Liu, YP (corresponding author), Jiangsu Prov Collaborat Innovat Ctr Modern Urban, 2 Dongnandaxue Rd, Nanjing 211189, Peoples R China.; Liu, YP (corresponding author), Southeast Univ, Sch Transportat, 2 Dongnandaxue Rd, Nanjing 211189, Peoples R China.
EM 220205021@seu.edu.cn
OI Liu, yiping/0000-0002-4779-9847
FU National Key Research and Development Program of China [2019YFB1600200];
   National Natural Science Foundation of China [71971056, 51608115]; six
   talent peaks project in Jiangsu Province [XNYQC-003]; Science and
   technology Project of Jiangsu Province, China [BZ2020016]
FX This work was supported by the National Key Research and Development
   Program of China (No. 2019YFB1600200), the National Natural Science
   Foundation of China (Nos. 71971056, 51608115), the six talent peaks
   project in Jiangsu Province (No. XNYQC-003), the Science and technology
   Project of Jiangsu Province, China (BZ2020016).
CR [Anonymous], 2021, Xinhua
   Baggag A, 2018, EPJ DATA SCI, V7, DOI 10.1140/epjds/s13688-018-0139-7
   Baroud H, 2015, RISK ANAL, V35, P642, DOI 10.1111/risa.12223
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Buinevich M, 2019, INFORMATION, V10, DOI 10.3390/info10010027
   Cai H, 2019, ENERGY, V174, P503, DOI 10.1016/j.energy.2019.02.166
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   ceicdata, SHENZH MUN BUR STAT
   ceicdata, HAIK MUN BUR STAT GD
   Martins MCD, 2019, TRANSPORT RES D-TR E, V77, P352, DOI 10.1016/j.trd.2019.01.004
   Dewan KK, 2007, ENG LET, V14
   Di X, 2018, TRANSPORT RES B-METH, V112, P230, DOI 10.1016/j.trb.2018.04.006
   Ehsani P., 2020, THESIS CONCORDIA U M
   Fang C, 2022, TRANSPORT RES D-TR E, V109, DOI 10.1016/j.trd.2022.103331
   Fiedler D, 2018, IEEE INT C INTELL TR, P1173, DOI 10.1109/ITSC.2018.8569451
   Fisher L, 2015, NATURE, V518, P35, DOI 10.1038/518035a
   Forster H., 2021, TRENDS PROJECTIONS E
   Gu Y, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.11.003
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Javid RJ, 2017, TRANSPORT RES D-TR E, V56, P155, DOI 10.1016/j.trd.2017.07.031
   Li RM, 2018, TRANSPORT RES C-EMER, V93, P367, DOI 10.1016/j.trc.2018.06.012
   Ma HY, 2019, ACM EC '19: PROCEEDINGS OF THE 2019 ACM CONFERENCE ON ECONOMICS AND COMPUTATION, P583, DOI 10.1145/3328526.3329556
   Ma J, 2022, TRANSPORT RES B-METH, V162, P162, DOI 10.1016/j.trb.2022.06.001
   Ma J, 2020, TRANSPORT RES B-METH, V134, P1, DOI 10.1016/j.trb.2020.02.001
   Malodia S, 2016, TRANSPORT PLAN TECHN, V39, P538, DOI 10.1080/03081060.2016.1174368
   Mattioli G, 2019, J TRANSP GEOGR, V78, P98, DOI 10.1016/j.jtrangeo.2019.05.009
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Sathiaraj D, 2018, COMPUT ENVIRON URBAN, V72, P212, DOI 10.1016/j.compenvurbsys.2018.06.012
   Shaheen S., 2019, SHARING STRATEGIES C
   Shekar V., 2017, P 2017 IEEE INT S TE, P1, DOI DOI 10.1109/THS.2017.7943454
   Singh P, 2021, TRANSP RES INTERDISC, V9, DOI 10.1016/j.trip.2021.100297
   Sun D, 2021, TRANSPORT RES D-TR E, V101, DOI 10.1016/j.trd.2021.103083
   SUWANSIRIKUL C, 1987, TRANSPORT SCI, V21, P254, DOI 10.1287/trsc.21.4.254
   TEAL RF, 1987, TRANSPORT RES A-POL, V21, P203, DOI 10.1016/0191-2607(87)90014-8
   Tonn G, 2021, TRANSPORT POLICY, V100, P108, DOI 10.1016/j.tranpol.2020.10.011
   van der Waerden P, 2015, TRANSP RES PROC, V10, P335, DOI 10.1016/j.trpro.2015.09.083
   Veve C, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0238143
   Walker B, 2004, ECOL SOC, V9
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wang HW, 2020, TRANSPORT RES C-EMER, V115, DOI 10.1016/j.trc.2020.102619
   Watling D, 1999, TRANSPORT RES B-METH, V33, P281, DOI 10.1016/S0191-2615(98)00033-2
   worldpopulationreview, SHENZH POP 2022 WORL
   worldpopulationreview, HAIK POP 2022 WORLD
   Xu XD, 2021, TRANSPORT RES E-LOG, V153, DOI 10.1016/j.tre.2021.102421
   Zhang T, 2020, TRANSPORT RES A-POL, V141, P502, DOI 10.1016/j.tra.2020.09.025
   Zhang W, 2018, J ADV TRANSPORT, DOI 10.1155/2018/2385936
   Zhong S., 2022, LOGIC DRIVEN TRAFFIC, P227, DOI DOI 10.1007/978-981-16-8016-8_11
NR 47
TC 2
Z9 2
U1 4
U2 33
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 SEP
PY 2022
VL 19
IS 17
AR 10801
DI 10.3390/ijerph191710801
PG 20
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 4J2NT
UT WOS:000851106200001
PM 36078535
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Li, GZ
   Wang, LQ
AF Li, Guozhu
   Wang, Liqi
TI Study of regional variations and convergence in ecological resilience of
   Chinese cities
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Ecological resilience; Regional differences; Distribution dynamics;
   Convergence
ID URBAN; SUSTAINABILITY
AB Using panel data from 281 Chinese cities at the prefecture level from 2005 to 2020, this study uses the entropy approach to assess the ecological resilience of Chinese cities. Then, it examines regional variations and the convergence of ecological resilience of Chinese cities using the Dagum Gini coefficient, kernel density estimation, Markov chain, and convergence model. The conclusions are as follows: First, there is a lessening trend in fluctuations between the degrees of urban ecological resilience within the nation and three regions, and they eventually converge to a level that is comparatively steady. The prevalence of inter-regional cross-over situations is the main factor contributing to the widening gaps in urban ecological resilience levels. Second, despite differences in distribution dynamics, urban ecological resilience has increased across geographies. Third, ecological resilience demonstrates the occurrence of the "low-level trap" and "high-level monopoly"; high-level cities are more likely to draw low-level cities. Fourth, there is a strong indication of & sigma; and & beta; convergence tendencies in the level of ecological resilience in China's cities across the country and its three regions. The government should improve urban environmental management and ecological protection, clarify each city's purpose and development strategy, and foster collaboration and connectivity among neighboring cities to bridge the urban ecological resilience gap successfully.
C1 [Li, Guozhu; Wang, Liqi] Hebei GEO Univ, Sch Econ, Shijiazhuang 050031, Hebei, Peoples R China.
C3 Hebei GEO University
RP Wang, LQ (corresponding author), Hebei GEO Univ, Sch Econ, Shijiazhuang 050031, Hebei, Peoples R China.
EM guozhuli@126.com; wangliqi_wlq@163.com
OI Wang, Liqi/0000-0001-7452-0808
FU Chinese National Funding of Social Sciences [18BJY081]; Hebei GEO
   University [KJCXTD-2022-02]
FX This research was supported by Chinese National Funding of Social
   Sciences (No.18BJY081). Moreover, we would like to thank Hebei GEO
   University (KJCXTD-2022-02) for providing us with the necessary
   financial support.
CR Adger W.N., 1997, Sustainability and social resilience in coastal resource use
   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
   BARRO RJ, 1991, BROOKINGS PAP ECO AC, P107
   Cavallaro M, 2014, COMPUT-AIDED CIV INF, V29, P608, DOI 10.1111/mice.12080
   Chaigneau T, 2022, NAT SUSTAIN, V5, P287, DOI 10.1038/s41893-021-00790-8
   Cumming GS, 2017, TRENDS ECOL EVOL, V32, P695, DOI 10.1016/j.tree.2017.06.014
   Cutter S L., 2008, Geography, V1, P2301
   Dagum Camilo., 1997, Empirical Economics, V22, P515, DOI [DOI 10.1007/BF01205777, 10.1007/978-3-642-51073-14]
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gao Jiang-bo, 2008, Yingyong Shengtai Xuebao, V19, P2473
   Guo B.N., 2022, Ecol. Econ., V38, P153
   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]
   Huang J., 2022, Statistics Decision, V38, P91, DOI [10.13546/j.cnki.tjyjc.2022.17.018, DOI 10.13546/J.CNKI.TJYJC.2022.17.018]
   [黄晶 Huang Jing], 2020, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V29, P2519
   Jin H.L, 2022, STUDY SPATIAL DIFFER
   Kattel GR, 2013, URBAN FOR URBAN GREE, V12, P498, DOI 10.1016/j.ufug.2013.07.005
   Lang X., 2023, MODERNIZATION MANAGE, V2023, P157
   [李苏 Li Su], 2022, [干旱区地理, Arid Land Geography], V45, P1281
   Liu J.Y., 2014, E GOVT, V2014, P82
   Liu Q., 2023, East China Econ. Manag, V37, P57, DOI [10.19629/j.cnki.34-1014/f.211222013, DOI 10.19629/J.CNKI.34-1014/F.211222013]
   Lv T, 2022, ENVIRON SCI POLLUT R, V29, P33920, DOI 10.1007/s11356-021-17872-x
   Ma S., 1984, Acta Ecol. Sin, V4, P1
   Nunes DM, 2019, J ENVIRON MANAGE, V230, P282, DOI 10.1016/j.jenvman.2018.09.078
   QUAH D, 1993, SCAND J ECON, V95, P427, DOI 10.2307/3440905
   Rey SJ, 1999, REG STUD, V33, P143, DOI 10.1080/00343409950122945
   Schewenius M, 2014, AMBIO, V43, P434, DOI 10.1007/s13280-014-0505-z
   Shen J., 2021, CHINA RESOUR COMPREH, V39, P55
   Slocum MG, 2008, ECOL INDIC, V8, P181, DOI 10.1016/j.ecolind.2007.01.011
   Sukopp H, 2008, EARLY HIST URBAN ECO
   Sun HH, 2021, CHINESE GEOGR SCI, V31, P387, DOI 10.1007/s11769-021-1201-0
   [陶洁怡 Tao Jieyi], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1975
   Walker B, 2004, ECOL SOC, V9
   [王松茂 Wang Songmao], 2022, [经济地理, Economic Geography], V42, P51
   Wang T., 2022, J NATURAL SCI HUNAN, V45, P33
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P209, DOI 10.1016/j.landurbplan.2014.01.018
   Xiao W, 2020, ECOL INDIC, V109, DOI 10.1016/j.ecolind.2019.105843
   [辛冲冲 Xin Chongchong], 2019, [数量经济技术经济研究, Quantitative & Technical Economics], V36, P52
   [杨超 Yang Chao], 2020, [水土保持研究, Research of Soil and Water Conservation], V27, P279
   Yang J, 2020, SCI CHINA EARTH SCI, V63, P1443, DOI 10.1007/s11430-020-9666-3
   Yang M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141710585
   Yang TB., 2022, J STAT INFORM, V37, P45
   You XT, 2022, NAT HAZARDS, V113, P1751, DOI 10.1007/s11069-022-05368-x
   [于伟 Yu Wei], 2021, [数量经济技术经济研究, Quantitative & Technical Economics], V38, P23
   Yue Y.Y., 2019, DEV SMALL CITIES TOW, V37, P5
   [章激扬 Zhang Jiyang], 2023, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V32, P235
   Zhang M.D., 2018, Urban Probl, V10, P27, DOI [10.13239/j.bjsshkxy.cswt.181004, DOI 10.13239/J.BJSSHKXY.CSWT.181004]
   Zhang S.S., 2023, STAT DECISION, V39, P110
   Zhang Y., 2022, ECOL ECON, V38, P103
   Zhang Y., 2012, FORUM SCI TECHNOLOGY, V2012, P81
NR 52
TC 31
Z9 32
U1 68
U2 212
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD OCT
PY 2023
VL 154
AR 110667
DI 10.1016/j.ecolind.2023.110667
EA JUL 2023
PG 14
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA P0HP6
UT WOS:001047539200001
OA gold
DA 2025-04-22
ER

PT J
AU Heinzlef, C
   Robert, B
   Hémond, Y
   Serre, D
AF Heinzlef, Charlotte
   Robert, Benoit
   Hemond, Yannick
   Serre, Damien
TI Operating urban resilience strategies to face climate change and
   associated risks: some advances from theory to application in Canada and
   France
SO CITIES
LA English
DT Article
DE Resilience issues; Climate Change; Collaborative workshops;
   Spatial-decision support systems
ID FLOODS; MODEL
AB Faced with increasing urbanization and uncertainties linked to climate change, the scientific community has integrated the concept of resilience into urban management practices. Once revolutionary, now a buzzword, resilience is a concept that is difficult to transform into an integrated tool that stakeholders accept and adopt. This paper offers a perspective on the different interpretations of resilience, its difficult implementation and the tools that seek to operationalize it. The underlying questions are how these tools are appropriated by urban managers and territorial decision-makers, and how the theoretical concept can be translated into resilient urban development. This research paper reviews the work on resilience and investigates its use and operationalization, comparing two different approaches - organizational (Canada) and holistic (France) - that aim to clarify and operationalize resilience. These theoretical approaches have been combined to create workshops for urban managers so they can move from theoretical results to practical applications.
C1 [Heinzlef, Charlotte] Univ Avignon, UMR 7300 ESPACE, 74 Rue Louis Pasteur,Case 19, F-84029 Avignon 1, France.
   [Heinzlef, Charlotte] Univ Mons, Fac Architecture & Urban Planning, Rue Havre 88, B-7000 Mons, Belgium.
   [Robert, Benoit] Ecole Polytech Montreal, Dept Math & Ind Engn, 2900 Blvd Edouard Montpetit, Montreal, PQ H3T 1J4, Canada.
   [Heinzlef, Charlotte; Serre, Damien] French Polynesia Univ, EIO Ecosyst Insulaires Oceaniens UMR 241, BP 6570, F-98702 Tahiti, French Polynesi, France.
   [Hemond, Yannick] Univ Quebec Montreal, Dept Geog, 1255 St Denis, Montreal, PQ H2X 3R9, Canada.
C3 Avignon Universite; University of Mons; Universite de Montreal;
   Polytechnique Montreal; Ifremer; University of Quebec; University of
   Quebec Montreal
RP Heinzlef, C (corresponding author), French Polynesia Univ, EIO Ecosyst Insulaires Oceaniens UMR 241, BP 6570, F-98702 Tahiti, French Polynesi, France.
EM Charlotte.heinzlef@upf.pf
OI Heinzlef, Charlotte/0000-0002-9984-1402
CR [Anonymous], NATURAL DISASTER DEV
   [Anonymous], 2011, Climate: Observations, Projections and Impacts
   [Anonymous], QUEB ACT VERT 2020 S
   [Anonymous], 1997, DECIDER TERRITOIRE P
   [Anonymous], 2015, The Human Cost of Weather Related Disasters
   [Anonymous], 2013, ECHOGEO, DOI DOI 10.4000/ECHOGEO.13439
   [Anonymous], RETROSPECTIVE INONDA
   [Anonymous], RESILIENCE COMMENT R
   [Anonymous], 2006, MEASURING VULNERABIL
   [Anonymous], FRAGILITES RESILIENC
   [Anonymous], VILLE RESILIENTE COM
   [Anonymous], TERRITOIRE RISQUE IM
   [Anonymous], SECURITE STRAT
   [Anonymous], 2018, An IPCC Special Report on the impacts of global warming of 1.5?C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, DOI 10.1017/9781009157940
   [Anonymous], PORTR IN PRINT 2017
   [Anonymous], AMELIORER RESILIENCE
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Boin A., 2014, Designing Resilience: Preparing for Extreme Events
   Boin A., 2010, The rise of resilience
   Borie M, 2019, GLOBAL ENVIRON CHANG, V54, P203, DOI 10.1016/j.gloenvcha.2019.01.001
   Bouwer LM, 2010, GLOBAL ENVIRON CHANG, V20, P463, DOI 10.1016/j.gloenvcha.2010.04.002
   Brand FS, 2007, ECOL SOC, V12
   Chrislip DavidD., 2002, The Jossey-Bass Nonprofit and Public Management Series
   Cramer W, 2018, NAT CLIM CHANGE, V8, P972, DOI 10.1038/s41558-018-0299-2
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Bruijne M., 2010, Designing Resilience: Preparing for Extreme Events, P13
   European Environment Agency, 2017, CLIM CHANG AD DIS RI
   Fuchs S., 2018, Vulnerability and resilience to natural hazards
   Gentric J., 2009, Natures Sciences Societes, V17, P257, DOI 10.1051/nss/2009040
   Heinzlef C, 2019, Modelisation d'indicateurs de resilience urbaine face au risque d'inondation. Co-construction d'un systeme spatial d'aide a la decision pour contribuer a l'operationnalisation du concept de resilience
   Heinzlef C, 2019, SAFETY SCI, V118, P181, DOI 10.1016/j.ssci.2019.05.003
   Holand IS, 2011, NORSK GEOGR TIDSSKR, V65, P1, DOI 10.1080/00291951.2010.550167
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Janke R, 2014, MANAGE ACCOUNT RES, V25, P251, DOI 10.1016/j.mar.2014.01.001
   Larrue Corinne., 2016, Analysing and Evaluating Flood Risk Governance in France: From State Policy to Local Strategies
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Nones M, 2016, INT J RIVER BASIN MA, V14, P195, DOI 10.1080/15715124.2016.1149074
   Pescaroli G, 2017, J CONTING CRISIS MAN, V25, P56, DOI 10.1111/1468-5973.12118
   Pescaroli G, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160707003
   ROBERT B., 2009, Reduire la vulnerabilite des infrastructures essentielles
   Robert B, 2008, INT J CRIT INFRASTRU, V4, P392, DOI 10.1504/IJCIS.2008.020158
   Serre D., 2013, RESILIENCE URBAN RIS
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Serre D, 2018, URBAN BOOK SERIES, P207, DOI 10.1007/978-3-319-68606-6_13
   United Nations General Assembly, 2015, SEND FRAM DIS RISK R
NR 46
TC 42
Z9 43
U1 4
U2 94
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 SEP
PY 2020
VL 104
AR 102762
DI 10.1016/j.cities.2020.102762
PG 11
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA LZ3TV
UT WOS:000541151900017
OA Bronze, Green Submitted
DA 2025-04-22
ER

PT J
AU Takefuji, Y
AF Takefuji, Yoshiyasu
TI How to build disaster-resilient cities and societies for making people
   happy
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Disaster preparedness; Resilient society against disaster; A 72-h
   authority vacuum; Making people happy
AB The current disaster approaches and strategies have failed. Our society is also vulnerable to COVID-19 pandemics and natural disasters. This paper surveys the conventional disaster governance regimes and examines whether a sustainable and resilient society against natural and human-induced disasters can be built. This paper aims to shed light on resilient city and country building from the perspective of disaster prevention. Current disaster strategies must be updated in order to mitigate the cost of disaster events and to make people happy. This paper quantifies the scores of the COVID-19 policies for strengthening disaster prevention technology.
C1 [Takefuji, Yoshiyasu] Musashino Univ, Fac Data Sci, Koto Ku, 3-3-3 Ariake, Tokyo 1358181, Japan.
RP Takefuji, Y (corresponding author), Musashino Univ, Fac Data Sci, Koto Ku, 3-3-3 Ariake, Tokyo 1358181, Japan.
EM takefuji@keio.jp
RI Takefuji, Yoshiyasu/AAI-8819-2020
OI Takefuji, Yoshiyasu/0000-0002-1826-742X
CR Alexander Ronni, 1996, KOBE U LAW REV, V30, P1, DOI [10.24546/00166963, DOI 10.24546/00166963]
   [Anonymous], 2022, U.S. Billion-Dollar Weather and Climate Disasters, P2022
   Aranya H, 2020, WILDFIRE SMOKE SLASH
   bousai.metro.tokyo, 2021, LETS GET PREP DIS PR
   FEMA, 2021, COMM FAM PREP
   Fermentation, 2020, FERM GOOD FOOD I INT
   Glasser Robert., 2016, CAN WE MAKE EARTHQUA
   Harvey WT, 2021, NAT REV MICROBIOL, V19, P409, DOI 10.1038/s41579-021-00573-0
   Ludvigsson JF, 2021, NEW ENGL J MED, V384, DOI 10.1056/NEJMc2101280
   MLIT, 2021, SEISMIC RETROFITTING
   Molitor B, 2019, ENERG ENVIRON SCI, V12, P3515, DOI 10.1039/c9ee02381j
   NASA, 2020, SOL POW CARB DIOX CO
   R.F. Service, 2019, THIS FORM PLAYWR AIM
   R.F. Service, 2019, CRYST NETS HARV WAT, DOI [10.1126/science.aaz3733, DOI 10.1126/SCIENCE.AAZ3733]
   Takefuji Yoshiyasu, 2021, Healthc Anal (N Y), V1, P100005, DOI 10.1016/j.health.2021.100005
   Takefuji Y, 2021, HEALTH TECHNOL-GER, V11, P1383, DOI 10.1007/s12553-021-00597-9
   Takefuji Y, 2021, TRENDS FOOD SCI TECH, V107, P429, DOI 10.1016/j.tifs.2020.11.012
   Xu HP, 2020, NAT ENERGY, V5, P623, DOI 10.1038/s41560-020-0666-x
   Xu WT, 2020, ACS CENTRAL SCI, V6, P1348, DOI 10.1021/acscentsci.0c00678
NR 19
TC 8
Z9 8
U1 11
U2 54
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 15
PY 2023
VL 228
DI 10.1016/j.buildenv.2022.109845
EA NOV 2022
PG 4
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 8Y5MS
UT WOS:000932741700002
PM 36447841
OA Green Published
DA 2025-04-22
ER

PT J
AU Sharma, S
   Kumar, S
   Singh, A
AF Sharma, Suraj
   Kumar, Shakti
   Singh, Akashdeep
TI Assessment of Green Infrastructure for sustainable urban water
   management
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article; Early Access
DE Green Infrastructure; Urban resilience; Water management system; Fuzzy
   comprehensive evaluation; Assessment
ID ECOSYSTEM SERVICES
AB Green Infrastructure (GI) offers a contemporary approach for mitigating flood risk, improving water quality and managing urban storm water for sustainable use. Green Infrastructure promotes landscape planning in urban resilience to enhance sustainable development. Moreover, the present literature is lacking in ensuring the comprehensive assessment of Green Infrastructure performance in terms of ecosystem function and considering serviceability for social, ecological and economical system resilience. In this study, robust indicator is proposed to set fuzzy comprehensive evaluation (FCE) for quantitative and qualitative analysis for sustainable water management to assess the capacity of urban resilience. Green Infrastructure urban resilience water management system (GIUR-WMS) helps in decision-making for Green Infrastructure planning by comparing scenario generation to ensure urban resilience capacity index. To demonstrate the GIUR-WMS, we develop five alternatives/scenarios in five sectors of Chandigarh (12, 26, 14, 17 and 34) to test common type of GI (rain barrel, rain gardens, detention basins, porous pavements and open spaces). Result shows that the open spaces achieve highest Green Infrastructure urban resilience index of 4.22/5. To implement the open space scenario in urban sites, suitable vacant can be converted to green spaces (for example forest, low impact recreation areas and detention basins); GIUR-WMS is easy to replicate, customize and apply to cities of different sizes to assess environmental, social and ecological dimensions.
C1 [Sharma, Suraj; Kumar, Shakti; Singh, Akashdeep] PEC Chandigarh, Dept Civil Engn, Chandigarh, India.
C3 Punjab Engineering College (Deemed University)
RP Sharma, S (corresponding author), PEC Chandigarh, Dept Civil Engn, Chandigarh, India.
EM surajsharma040297@gmail.com
OI Sharma, Suraj/0000-0002-0847-5292
CR Bennett EM, 2017, ECOSYSTEMS, V20, P31, DOI 10.1007/s10021-016-0049-0
   Bernstein S, 2017, EARTH SYST GOV, P213
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Calderón-Contreras R, 2017, ECOSYST SERV, V23, P127, DOI 10.1016/j.ecoser.2016.12.004
   Chou CC, 2013, MATH PROBL ENG, V2013, DOI 10.1155/2013/592138
   Comfort LK, 2005, ANNU REV POLIT SCI, V8, P335, DOI 10.1146/annurev.polisci.8.081404.075608
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   Foster H., 1997, OZYMANDIAS PRINCIPLE
   Fu X, 2016, LANDSCAPE URBAN PLAN, V155, P79, DOI 10.1016/j.landurbplan.2016.06.012
   Kaya I, 2019, ENERGY STRATEG REV, V24, P207, DOI 10.1016/j.esr.2019.03.003
   Kremer P, 2015, ECOSYST SERV, V12, P149, DOI 10.1016/j.ecoser.2015.01.008
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Singh L., 2016, INT J TECHNICAL INNO, V4, P71
   United Nations, 2024, Sustainable development goals: Take action for the sustainable development goals
   Wu Qi-hong, 2010, Journal of Central South University (Science and Technology), V41, P661
   Xin Fu., 2020, J CLEAN PROD, V20, P68
   Yang WC, 2018, J ENVIRON MANAGE, V213, P440, DOI 10.1016/j.jenvman.2018.02.085
NR 17
TC 11
Z9 11
U1 25
U2 80
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 2023 JUN 5
PY 2023
DI 10.1007/s10668-023-03411-w
EA JUN 2023
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 I2CE8
UT WOS:001000907600004
DA 2025-04-22
ER

PT J
AU Colding, J
   Barthel, S
AF Colding, Johan
   Barthel, Stephan
TI The potential of 'Urban Green Commons' in the resilience building of
   cities
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Cultural diversity; Cognitive resilience building; Common property
   systems; Ecosystem services; Social-ecological memory; Urban systems
ID COMMUNITY GARDENS; BIODIVERSITY CONSERVATION; PROPERTY-RIGHTS;
   DIVERSITY; AGRICULTURE; MANAGEMENT; ASSOCIATION; EXTINCTION; STOCKHOLM;
   ENCLOSURE
AB While cultural diversity is increasing in cities at a global level as a result of urbanization, biodiversity is decreasing with a subsequent loss of ecosystem services. It is clear that diversity plays a pivotal role in the resilience building of ecosystems; however, it is less clear what role cultural diversity plays in the resilience building of urban systems. In this paper we provide innovative insights on how common property systems could contribute to urban resilience building. Through a review of recent findings on urban common property systems and the relevant literature, we deal with urban green commons (UGCs) and discuss their potential to manage cultural and biological diversity in cities. We describe three examples of UGCs, i.e. collectively managed parks, community gardens, and allotment areas, with a focus on their institutional characteristics, their role in promoting diverse learning streams, environmental stewardship, and social ecological memory. We discuss how UGCs can facilitate cultural integration through civic participation in urban land-management, conditions for the emergence of UGCs, the importance of cognitive resilience building, and what role property-rights diversity plays in urban settings. We conclude by elucidating some key insights on how UGCs can promote urban resilience building. (C) 2012 Elsevier B.V. All rights reserved.
C1 [Colding, Johan; Barthel, Stephan] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, Stockholm, Sweden.
   [Colding, Johan; Barthel, Stephan] Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden.
   [Barthel, Stephan] Stockholm Univ, Dept Hist, SE-10691 Stockholm, Sweden.
C3 Royal Swedish Academy of Sciences; Beijer Institute of Ecological
   Economics; Stockholm University; Stockholm University
RP Colding, J (corresponding author), Royal Swedish Acad Sci, Beijer Inst Ecol Econ, Box 50005, Stockholm, Sweden.
EM Johanc@beijer.kva.se
RI Colding, Johan/AAB-7047-2019; barthel, stephan/AAE-8367-2019
OI Colding, Johan/0000-0001-7644-7448; barthel, stephan/0000-0003-2637-2024
FU European Commission's Framework 6 Programme under the European Research
   Area Network (ERA-NET) initiative; Swedish Research Council for
   Environment, Agricultural Sciences and Spatial Planning (FORMAS)
FX This research is part of the SUPER-project within the URBAN-NET program,
   funded by the European Commission's Framework 6 Programme under the
   European Research Area Network (ERA-NET) initiative. It is also part of
   the Urban Form-project and FORMAS Green Wedge project Johan Colding's
   and Stephan Barthel's research has been funded through support and
   grants received from the Swedish Research Council for Environment,
   Agricultural Sciences and Spatial Planning (FORMAS). Thanks also to
   Mistra (the Foundation for Strategic Environmental Research) for support
   to the Stockholm Resilience Centre, and to the Department of History,
   Stockholm University, in the support of Stephan Barthel's contribution.
   We also thank Jonas Adner for his nice artwork with Figs. 2 and 3 of
   this paper.
CR Abadie A, 2003, AM ECON REV, V93, P113, DOI 10.1257/000282803321455188
   Alesina A, 2005, J ECON LIT, V43, P762, DOI 10.1257/002205105774431243
   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], 1989, INFORM CITY
   [Anonymous], GREENING RE IN PRESS
   [Anonymous], [No title captured]
   [Anonymous], 2001, INVISIBLE WAND ADAPT
   [Anonymous], GREENING RE IN PRESS
   [Anonymous], SERIES TITLE REMOTE
   [Anonymous], THESIS STOCKHOLM U S
   [Anonymous], 2008, INT WORKSH UNESCO PA
   [Anonymous], 5 UK PAR SEL COMM EN
   [Anonymous], ECOLOGY SOC IN PRESS
   [Anonymous], [No title captured]
   [Anonymous], RISE ALLOTMENT MOVEM
   [Anonymous], WP98AB1 LINC LAND PO
   [Anonymous], DWELL GARDEN HIST BO
   [Anonymous], DELICIOUS DETROIT CI
   [Anonymous], 2005, ECOSYSTEMS HUMAN WEL
   [Anonymous], DIVISION LABOUR
   [Anonymous], HIST ECOLOGY SERIES
   [Anonymous], 1994, HIST ECOLOGY CULTURA, DOI DOI 10.1017/S0032247400024967
   [Anonymous], ACTA U AGR SUECIAE
   [Anonymous], EUROPEISKA KULTURLAN
   [Anonymous], AMBIO
   [Anonymous], URBAN MIND CULTURAL
   Arguelles J., 2011, Manifesto of the noosphere: The Next Stage in the Evolution of Human Consciousness
   BALEE W, 1993, HOMME, V33, P231, DOI 10.3406/hom.1993.369639
   Barthel S, 2005, ECOL SOC, V10
   Barthel S., URBAN STUDI IN PRESS
   Barthel S., 2010, URBAN MIND CULTURAL, P391
   Barthel S., 2010, QBOOK4 HALLBARTHET
   Barthel S., 2008, THESIS STOCKHOLM U S
   Barthel S, 2013, ECOL ECON, V86, P224, DOI 10.1016/j.ecolecon.2012.06.018
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Barthel Stephan, 2006, Wageningen UR Frontis Series, V12, P305
   Barzel Y., 1989, Economic analysis of property rights
   Bassett T.J., 1981, LANDSCAPE, V25, P1
   Bellini Elena., 2008, HWWI Research Paper, P3
   Bendt P., 2010, THESIS, P73
   Bendt P, 2013, LANDSCAPE URBAN PLAN, V109, P18, DOI 10.1016/j.landurbplan.2012.10.003
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   BERKES F, 1994, INVESTING IN NATURAL CAPITAL, P128
   Berkes F., 2000, Linking social and ecological systems: Management practices and social mechanisms for building resilience
   Berkes F., 1989, Common property resources: Ecology and community-based sustainable development
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Blair RB, 2001, BIOTIC HOMOGENIZATION, P33
   Blomley N, 2008, SOC LEGAL STUD, V17, P311, DOI 10.1177/0964663908093966
   Boyer L, 2006, SCI EDUC, V90, P1028, DOI 10.1002/sce.20162
   Campbell L, 2009, USDA FOR SERV NRS GT, P188
   Colding Folke J., 2003, J TROP ECOL, V44, P25
   Colding J, 2001, ECOL APPL, V11, P584
   Colding J., 2011, Adapting institutions: Meeting the challenge of global environmental change
   Colding J., 2003, NAVIGATING SOCIAL EC, P163, DOI [10.1017/CBO9780511541957.011, DOI 10.1017/CBO9780511541957.011]
   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, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P228
   Colding J, 2009, ECOL APPL, V19, P1481, DOI 10.1890/07-2092.1
   Collier Paul., 2001, ECON POLICY, P129
   Crouch D., 1997, The Allotment: Its Landscape and Culture
   Elmqvist T, 2004, ANN NY ACAD SCI, V1023, P308, DOI 10.1196/annals.1319.017
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Ernstson H, 2009, ENVIRON PLANN A, V41, P1460, DOI 10.1068/a40349
   Florida Richard., 2014, The Rise of the Creative Class - Revisited
   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]
   Fraser EvanD. G., 2010, Empires of Food: Feast, Famine, and the Rise and Fall of Civilizations
   Geertz C., 1973, INTERPRETATION CULTU, DOI DOI 10.4324/9781315017570
   Gehl J., 2010, CITIES PEOPLE
   Glover TD, 2005, LEISURE SCI, V27, P75, DOI 10.1080/01490400590886060
   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
   Halbwachs M., 1950, COLLECTIVE MEMORY
   Hanna Susan., 1996, RIGHTS NATURE ECOLOG
   Healey P., 1998, TOWN PLAN REV, V69, P1
   Holland L., 2004, Local Environment, V9, P285, DOI 10.1080/1354983042000219388
   Jane J., 1961, DEATH LIFE GREAT AM
   Krasny M., 2009, The case for a community greening research agenda, P49
   Krasny M.E., 2009, Cities and the Environment, V2, P1
   Kurtz H, 2001, URBAN GEOGR, V22, P656, DOI 10.2747/0272-3638.22.7.656
   Lee S, 2006, GEOJOURNAL, V66, P27, DOI 10.1007/s10708-006-9014-3
   Levkoe CZ, 2006, AGR HUM VALUES, V23, P89, DOI 10.1007/s10460-005-5871-5
   LEWIS C A, 1992, P55
   Linn K., 1999, NEW VILLAGE, V1, P42
   Lowe B., 2003, Navagating Social-Ecological Systems: Building Resilience for Complexity and Change, P83, DOI DOI 10.1017/CBO9780511541957.007
   Maffi L., 2012, Biocultural diversity conservation: a global sourcebook
   Marcus ClareCooper., 1999, HEALING GARDENS THER
   McDaniel Josh, 2005, Urban Ecosystems, V8, P23, DOI 10.1007/s11252-005-1417-2
   McIntosh RJ, 2000, WAY THE WIND BLOWS: CLIMATE, HISTORY, AND HUMAN ACTION, P141
   McKinney ML, 2002, BIOSCIENCE, V52, P883, DOI 10.1641/0006-3568(2002)052[0883:UBAC]2.0.CO;2
   Miller JR, 2005, TRENDS ECOL EVOL, V20, P430, DOI 10.1016/j.tree.2005.05.013
   Milliken FJ, 1996, ACAD MANAGE REV, V21, P402, DOI 10.2307/258667
   Nolin C., 2003, Stadens odlare
   North D. C., 1990, I I CHANGE EC PERFOR, DOI [DOI 10.1017/CBO9780511606892.012, DOI 10.1017/CBO9780511808678]
   Oldfield TEE, 2003, NATURE, V423, P531, DOI 10.1038/nature01678
   Ollman Bertell, 1971, ALIENATION MARX CONC
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E, 1996, WORLD DEV, V24, P1073, DOI 10.1016/0305-750X(96)00023-X
   Ostrom E., 1996, Rights to Nature: Ecological, Economic, Cultural, and Political Principles of Institutions for the Environment, P127
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Ottaviano GIP, 2006, J ECON GEOGR, V6, P9, DOI 10.1093/jeg/lbi002
   PYLE RM, 1977, HORTICULTURE, V55, P65
   Ricketts T, 2003, CONSERV ECOL, V8
   RINDOS D, 1980, CURR ANTHROPOL, V21, P751, DOI 10.1086/202569
   Rosol M, 2010, INT J URBAN REGIONAL, V34, P548, DOI 10.1111/j.1468-2427.2010.00968.x
   Roszak Theodor., 1973, WASTELAND ENDS
   Rydin Y., 2000, LOCAL ENVIRON, V5, P153
   Sala OE, 2000, SCIENCE, V287, P1770, DOI 10.1126/science.287.5459.1770
   Saldivar-Tanaka L, 2004, AGR HUM VALUES, V21, P399, DOI 10.1023/B:AHUM.0000047207.57128.a5
   Samways MJ, 2007, BIODIVERS CONSERV, V16, P1995, DOI 10.1007/s10531-006-9144-4
   Sassen Saskia., 2006, Cities in a World Economy
   Scarborough VL, 2008, QUATERN INT, V184, P24, DOI 10.1016/j.quaint.2007.09.037
   SCHLAGER E, 1992, LAND ECON, V68, P249, DOI 10.2307/3146375
   Schmelzkopf K, 1995, GEOGR REV, V85, P364, DOI 10.2307/215279
   Shinew KJ, 2004, J LEISURE RES, V36, P336, DOI 10.1080/00222216.2004.11950027
   Shumoske J., 2000, LEGISLATION PUBLIC P, V3, P351, DOI DOI 10.2139/SSRN.1426079
   Sinclair P., 2010, STUDIES GLOBAL ARCHA, V15
   Snep RPH, 2011, LANDSCAPE URBAN PLAN, V103, P94, DOI 10.1016/j.landurbplan.2011.07.002
   Stokes DL, 2006, BIOSCIENCE, V56, P6
   Sukopp H., 1979, SOIL FLORA VEGETATIO
   Theodori GL, 1998, RURAL SOCIOL, V63, P94, DOI 10.1111/j.1549-0831.1998.tb00666.x
   Thorns DavidC., 2002, TRANSFORMATION CITIE
   Tidball KG, 2010, ENVIRON EDUC RES, V16, P591, DOI 10.1080/13504622.2010.505437
   Voicu I, 2008, REAL ESTATE ECON, V36, P241, DOI 10.1111/j.1540-6229.2008.00213.x
   Waddell C., 2000, RECEPTION SILENT SPR, P1
   Webster C, 2002, ENVIRON PLANN B, V29, P397, DOI 10.1068/b2755r
   Wenger E, 2000, ORGANIZATION, V7, P225, DOI 10.1177/135050840072002
   Wenger E., 2009, COMMUNITIES PRACTICE
   Zanoni Patrizia., 2009, Sustainable Cities: Diversity, Economic Growth and Social Cohesion, P3
NR 131
TC 286
Z9 335
U1 11
U2 412
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD FEB
PY 2013
VL 86
BP 156
EP 166
DI 10.1016/j.ecolecon.2012.10.016
PG 11
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 128XR
UT WOS:000317803500017
DA 2025-04-22
ER

PT J
AU Sharifi, A
   Chelleri, L
   Fox-Lent, C
   Grafakos, S
   Pathak, M
   Olazabal, M
   Moloney, S
   Yumagulova, L
   Yamagata, Y
AF Sharifi, Ayyoob
   Chelleri, Lorenzo
   Fox-Lent, Cate
   Grafakos, Stelios
   Pathak, Minal
   Olazabal, Marta
   Moloney, Susie
   Yumagulova, Lily
   Yamagata, Yoshiki
TI Conceptualizing Dimensions and Characteristics of Urban Resilience:
   Insights from a Co-Design Process
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; knowledge co-design; knowledge co-production;
   bottom-up approach; participatory methods; Structured Interview Matrix;
   adaptation; sustainability; transdisciplinary
ID NON-EUCLIDEAN MODE; COMMUNITY RESILIENCE; ADAPTIVE CAPACITY; ADAPTATION;
   FRAMEWORK; SUSTAINABILITY; TRANSFORMATION; MANAGEMENT; CITIES; TOOLS
AB Resilience is a multi-faceted concept frequently used across a wide range of disciplines, practices, and sectors. There is a growing recognition of the utility of resilience as a bridging concept that can facilitate inter-and transdisciplinary approaches to tackle complexities inherent in decision making under conditions of risk and uncertainty. Such conditions are common in urban planning, infrastructure planning, asset management, emergency planning, crisis management, and development processes where systemic interdependencies and interests at stake influence decisions and outcomes. A major challenge that can undermine the use of resilience for guiding planning activities is the value-laden and contested nature of the concept that can be interpreted in a variety of ways. Because resilience is context-specific and generally depends on local aspirations, this issue can be partially tackled by adopting participatory approaches for the conceptualization of resilience. This paper provides an example of how co-design methods can be employed for conceptualizing resilience. The Structured Interview Matrix was used as a technique to facilitate discussions among a diverse group of researchers and practitioners attending the International Workshop on Tools and Indicators for Assessing Urban Resilience. Participants deliberated on issues related to constituent elements of urban resilience, including its position vis-a-vis concepts such as adaptation and sustainability, institutional factors that can enable/constrain resilience building, and the challenges of conducting and operationalizing urban resilience assessment. This paper can be considered as an initial step towards further exploration of participatory approaches for clarifying the underlying dimensions of complex concepts such as resilience.
C1 [Sharifi, Ayyoob; Yamagata, Yoshiki] Natl Inst Environm Studies, Global Carbon Project, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
   [Chelleri, Lorenzo] Univ Int Catalunya, ESARQ Sch Architecture, Immaculada 22, Barcelona 08017, Spain.
   [Chelleri, Lorenzo] Gran Sasso Sci Inst, Social Sci Unit, Viale Francesco Crispi 7, I-67100 Laquila, Italy.
   [Fox-Lent, Cate] US Army Engineer Res & Dev Ctr, Environm Lab, 696 Virginia Rd, Concord, MA 01742 USA.
   [Grafakos, Stelios] Erasmus Univ, Inst Housing & Urban Dev Studies, NL-3062 PA Rotterdam, Netherlands.
   [Pathak, Minal] MIT, Dept Urban Studies & Planning, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
   [Olazabal, Marta] Univ Basque Country, Basque Ctr Climate Change, Edificio Sede,Planta 1,Barrio Sarriena S-N, Leioa 48914, Spain.
   [Moloney, Susie] RMIT Univ Melbourne, Sch Global Urban & Social Studies, Ctr Urban Res, Melbourne, Vic 3000, Australia.
   [Yumagulova, Lily] Univ British Columbia, Sch Community & Reg Planning, 6333 Mem Rd, Vancouver, BC V6T 1Z4, Canada.
C3 National Institute for Environmental Studies - Japan; Universitat
   Internacional de Catalunya (UIC); Gran Sasso Science Institute (GSSI);
   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; Erasmus University Rotterdam; Erasmus University
   Rotterdam - Excl Erasmus MC; Massachusetts Institute of Technology
   (MIT); University of Basque Country; Basque Centre for Climate Change
   (BC3); Royal Melbourne Institute of Technology (RMIT); University of
   British Columbia
RP Sharifi, A (corresponding author), Natl Inst Environm Studies, Global Carbon Project, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
EM sharifi.ayyoob@nies.go.jp; lorenzo.chelleri@uic.es;
   catherine.fox-lent@usace.army.mil; s.grafakos.s@ihs.nl; minal@mit.edu;
   marta.olazabal@bc3research.org; susie.moloney@rmit.edu.au;
   lily.yumagulova@gmail.com; yamagata@nies.go.jp
RI Olazabal, Marta/AFT-6957-2022; Yamagata, Yoshiki/T-6489-2019; Sharifi,
   Ayyoob/M-7584-2013; Olazabal, Marta/C-3027-2008; Pathak,
   Minal/KBR-2350-2024
OI Sharifi, Ayyoob/0000-0002-8983-8613; Grafakos,
   Stelios/0000-0002-6821-0667; Olazabal, Marta/0000-0002-3381-0654;
   Pathak, Minal/0000-0002-9474-0485; Chelleri,
   Lorenzo/0000-0003-0229-5028; Yamagata, Yoshiki/0000-0001-5111-8912;
   Moloney, Susie/0000-0002-3177-3618
FU Asia-Pacific Network for Global Change Research; Spanish Ministry of
   Economy and Competitiveness (MINECO) [FPDI-2013-16631]
FX We appreciate the financial support from the Asia-Pacific Network for
   Global Change Research. M.O. acknowledges funding from the Spanish
   Ministry of Economy and Competitiveness (MINECO) (grant No.
   FPDI-2013-16631).
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   ALEXANDER ER, 1994, J AM PLANN ASSOC, V60, P372, DOI 10.1080/01944369408975594
   [Anonymous], PART METH 2017
   [Anonymous], URBAN RESILIENCE WHO
   [Anonymous], POOL TOOLS METHOD CO
   [Anonymous], 2015, NYU ENVT LJ
   [Anonymous], INTEGRATING MITIGATI
   [Anonymous], REFRAMING RESILIENCE
   Armitage D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04940-170415
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Bouffard F, 2008, ENERG POLICY, V36, P4504, DOI 10.1016/j.enpol.2008.09.060
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Brand FS, 2007, ECOL SOC, V12
   Brody S, 2013, URBAN STUD, V50, P789, DOI 10.1177/0042098012448551
   Bulkeley H., 2003, CITIES CLIMATE CHANG, DOI DOI 10.4324/9780203219256
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Chelleri L, 2016, REG ENVIRON CHANGE, V16, P2229, DOI 10.1007/s10113-016-1046-8
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Coaffee J., 2016, URBAN RESILIENCE PLA
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Cutter SL, 2016, GEOGR J, V182, P110, DOI 10.1111/geoj.12174
   Field C. B., CONTRIBUTION WORKING
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   FRIEDMANN J, 1993, J AM PLANN ASSOC, V59, P482, DOI 10.1080/01944369308975902
   Grafakos S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050461
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hassler U, 2014, BUILD RES INF, V42, P119, DOI 10.1080/09613218.2014.873593
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   Ioja CL, 2014, URBAN FOR URBAN GREE, V13, P704, DOI 10.1016/j.ufug.2014.07.002
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McAllister T.P., 2016, Multi-hazard Approaches to Civil Infrastructure Engineering, P533
   McPhearson T, 2016, ECOL INDIC, V70, P566, DOI 10.1016/j.ecolind.2016.03.054
   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
   Mulligan M, 2016, INT PLAN STUD, V21, P348, DOI 10.1080/13563475.2016.1155974
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   O'Sullivan TL, 2015, SYST RES BEHAV SCI, V32, P616, DOI 10.1002/sres.2250
   O'Sullivan TL, 2013, SOC SCI MED, V93, P238, DOI 10.1016/j.socscimed.2012.07.040
   Prior T, 2013, GLOBAL ENVIRON CHANG, V23, P1575, DOI 10.1016/j.gloenvcha.2013.09.016
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Reed SO, 2013, ENVIRON URBAN, V25, P393, DOI 10.1177/0956247813501136
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P291, DOI 10.1177/0956247813501421
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sharifi A, 2016, INT J DISAST RISK RE, V18, P115, DOI 10.1016/j.ijdrr.2016.06.006
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Taleb Nassim Nicholas, 2012, Antifragile: things that gain from disorder
   Taleb NN, 2010, BLACK SWAN IMPACT HI
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   Villagra P, 2014, APPL GEOGR, V48, P64, DOI 10.1016/j.apgeog.2014.01.010
   Webb J., 2016, Beyond the Networked City: Infrastructure Reconfigurations and Urban Change in the North and South, P204
   Wilson GA, 2014, J ENVIRON PLANN MAN, V57, P1, DOI 10.1080/09640568.2012.741519
NR 62
TC 61
Z9 65
U1 6
U2 90
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2017
VL 9
IS 6
AR 1032
DI 10.3390/su9061032
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 EY6ZF
UT WOS:000404133200163
OA gold, Green Published, Green Submitted
DA 2025-04-22
ER

PT J
AU Hoch, JMK
   Rhodes, ME
   Shek, KL
   Dinwiddie, D
   Hiebert, TC
   Gill, AS
   Estrada, AES
   Griffin, KL
   Palmer, MI
   McGuire, KL
AF Hoch, Jessica M. K.
   Rhodes, Matthew E.
   Shek, Kaye L.
   Dinwiddie, Devin
   Hiebert, Terra C.
   Gill, Aman S.
   Estrada, Andres E. Salazar
   Griffin, Kevin L.
   Palmer, Matthew I.
   McGuire, Krista L.
TI Soil Microbial Assemblages Are Linked to Plant Community Composition and
   Contribute to Ecosystem Services on Urban Green Roofs
SO FRONTIERS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE urban ecosystem services; green roof; AM fungi; plant-growth promoting
   bacteria; plant-microbial interactions
ID ARBUSCULAR MYCORRHIZAL FUNGI; BACTERIA; ROOTS; DIVERSITY; DYNAMICS;
   GRASS; DROUGHT; HABITAT
AB Green roofs are a way for cities to mitigate environmental stressors, such as heatwaves and droughts. However, these environmental stressors can adversely affect green roof vegetation, causing challenges for plant growth and survival and subsequently reducing the ability of green roof systems to deliver critical ecosystem services, such as heat mitigation and nutrient cycling. Plant-associated microbes may facilitate the resilience and tolerance of green roof vegetation to climate-associated stress. However, despite their crucial role in plant growth and survival in natural ecosystems, there has been little research on plant-associated microbes in green roof systems. Plant choice on green roofs may also determine which microbes established in green roof growing media, and particular plant-microbial combinations may be more resilient to environmental stress. This project sought to characterize soil microbial community composition on green roofs across New York City with different plant palettes and assess how different combinations of green roof plant species and root-associated microbial assemblages responded to isolated and simultaneous heat and drought treatments. We surveyed green roofs planted with either Sedum species or with a mixed-vegetation palette (i.e., wildflowers, grasses, and succulents). We found that mixed-vegetation and Sedum green roofs had distinct soil bacterial and fungal communities (p < 0.0001) with a higher relative abundance of mycorrhizal fungi on mixed-vegetation roofs, and higher pathogen loads on Sedum roofs. Concurrently, we conducted a greenhouse experiment in which plants were grown from seed with live inocula collected from the two different types of vegetation on the green roofs we surveyed. We observed that plant species, soil inoculum, and abiotic stress treatment was correlated with shifts in soil fungal communities. This study demonstrated that soil microbial assemblages on green roofs are linked to the roof vegetation, and that they may facilitate green roof plants' tolerance and resilience to environmental stressors.
C1 [Hoch, Jessica M. K.; Estrada, Andres E. Salazar; Griffin, Kevin L.; Palmer, Matthew I.] Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY 10032 USA.
   [Rhodes, Matthew E.] Coll Charleston, Dept Biol, Charleston, SC 29424 USA.
   [Shek, Kaye L.; Dinwiddie, Devin; Hiebert, Terra C.; McGuire, Krista L.] Univ Oregon, Inst Ecol & Evolut, Eugene, OR 97403 USA.
   [Gill, Aman S.] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.
   [Griffin, Kevin L.] Columbia Univ, Dept Earth & Environm Sci, Lamont Doherty Earth Observ, New York, NY USA.
C3 Columbia University; College of Charleston; University of Oregon;
   University of California System; University of California Berkeley;
   Columbia University
RP Hoch, JMK (corresponding author), Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY 10032 USA.
EM jh3758@columbia.edu
RI Griffin, Kevin/B-2629-2013; Palmer, Matthew/LRS-8024-2024; Shek,
   Katherine/GWQ-4890-2022
OI Griffin, Kevin/0000-0003-4124-3757; McGuire Meliora,
   Krista/0000-0002-8970-8827; Shek, Katherine/0000-0001-5629-5782
FU National Science Foundation DEB Coastal SEES [1325185]; Jacob K. Javits
   Convention Center; Earth Institute at Columbia University; Graduate
   School of Arts and Sciences at Columbia University; Botanical Society of
   America; Department of Ecology, Evolution, and Environmental Biology at
   Columbia University; Div Of Civil, Mechanical, & Manufact Inn;
   Directorate For Engineering [1325185] Funding Source: National Science
   Foundation
FX Funds were provided by the National Science Foundation DEB Coastal SEES
   1325185 to KM and MP; by the Jacob K. Javits Convention Center to MR and
   KM; and by the Earth Institute, the Graduate School of Arts and
   Sciences, and the Department of Ecology, Evolution, and Environmental
   Biology at Columbia University and the Botanical Society of America to
   JH.
CR Aloisio JM, 2017, ECOL APPL, V27, P297, DOI 10.1002/eap.1444
   Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
   [Anonymous], 2002, B SOC BOT MEXICO, DOI DOI 10.1007/s00442-003-1311-7
   Augé RM, 2001, MYCORRHIZA, V11, P3, DOI 10.1007/s005720100097
   Augé RM, 2015, MYCORRHIZA, V25, P13, DOI 10.1007/s00572-014-0585-4
   AzconAguilar C, 1996, MYCORRHIZA, V6, P457, DOI 10.1007/s005720050147
   Bever JD, 2012, ANNU REV MICROBIOL, V66, P265, DOI 10.1146/annurev-micro-092611-150107
   Bever JD, 2010, TRENDS ECOL EVOL, V25, P468, DOI 10.1016/j.tree.2010.05.004
   Borowicz VA, 2001, ECOLOGY, V82, P3057
   Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
   Chaudhary VB, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.28
   De Cáceres M, 2009, ECOLOGY, V90, P3566, DOI 10.1890/08-1823.1
   Declerck S, 2001, MYCORRHIZA, V11, P225, DOI 10.1007/s005720100124
   Dunnett N., 2008, Planting green roofs and living walls
   Evans J. S., 2018, PACKAGE RFUTILITIES
   Fulthorpe R, 2018, FRONT ECOL EVOL, V6, DOI 10.3389/fevo.2018.00005
   Glick BR, 2012, SCIENTIFICA, V2012, DOI 10.6064/2012/963401
   Haichar FE, 2008, ISME J, V2, P1221, DOI 10.1038/ismej.2008.80
   John J, 2017, URBAN ECOSYST, V20, P113, DOI 10.1007/s11252-016-0573-x
   John J, 2014, ECOL ENG, V71, P651, DOI 10.1016/j.ecoleng.2014.08.012
   Kowalchuk GA, 2002, ANTON LEEUW INT J G, V81, P509, DOI 10.1023/A:1020565523615
   Lambers H., 2008, PLANT PHYSL ECOLOGY
   Lenoir I, 2016, PHYTOCHEMISTRY, V123, P4, DOI 10.1016/j.phytochem.2016.01.002
   López-García A, 2014, OECOLOGIA, V176, P1075, DOI 10.1007/s00442-014-3091-7
   Lundholm J, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009677
   Ma Y, 2016, J ENVIRON MANAGE, V174, P14, DOI 10.1016/j.jenvman.2016.02.047
   Madriz-Ordeñana K, 2017, PLANT DIS, V101, P505, DOI 10.1094/PDIS-08-16-1173-PDN
   McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
   McGuire KL, 2015, ECOL STUD-ANAL SYNTH, V223, P175, DOI 10.1007/978-3-319-14983-7_7
   McGuire KL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058020
   McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
   Molineux CJ, 2014, SCI TOTAL ENVIRON, V493, P632, DOI 10.1016/j.scitotenv.2014.06.045
   Monterusso MA, 2005, HORTSCIENCE, V40, P391, DOI 10.21273/HORTSCI.40.2.391
   Nagase A, 2010, LANDSCAPE URBAN PLAN, V97, P318, DOI 10.1016/j.landurbplan.2010.07.005
   Newsham KK, 1995, J ECOL, V83, P991, DOI 10.2307/2261180
   Nguyen NH, 2016, FUNGAL ECOL, V20, P241, DOI 10.1016/j.funeco.2015.06.006
   Oksanen J, 2018, PACKGAGE VEGAN3D
   Parkins KL, 2015, GLOB ECOL CONSERV, V4, P349, DOI 10.1016/j.gecco.2015.07.011
   Partridge DR, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0202298
   Pregitzer CC, 2019, ECOL APPL, V29, DOI 10.1002/eap.1819
   Reynolds HL, 2003, ECOLOGY, V84, P2281, DOI 10.1890/02-0298
   Rodriguez R. J., 2004, Mitigation and Adaptation Strategies for Global Change, V9, P261, DOI 10.1023/B:MITI.0000029922.31110.97
   Rumble H, 2018, APPL SOIL ECOL, V126, P11, DOI 10.1016/j.apsoil.2018.01.010
   Saikia S. P., 2014, African Journal of Microbiology Research, V8, P955
   Santos-González JC, 2007, APPL ENVIRON MICROB, V73, P5613, DOI 10.1128/AEM.00262-07
   Singh BK, 2008, ENVIRON MICROBIOL, V10, P534, DOI 10.1111/j.1462-2920.2007.01474.x
   Smalla K, 2001, APPL ENVIRON MICROB, V67, P4742, DOI 10.1128/AEM.67.10.4742-4751.2001
   Smith J. E, 1994, MYCORRHIZAL SYMBIOSI
   Sterphenson R, 1994, SEDUM CULTIVATED STO
   Sykorová Z, 2007, MYCORRHIZA, V18, P1, DOI 10.1007/s00572-007-0147-0
   Takebayashi H, 2007, BUILD ENVIRON, V42, P2971, DOI 10.1016/j.buildenv.2006.06.017
   van der Heijden MGA, 2006, FEMS MICROBIOL ECOL, V56, P178, DOI 10.1111/j.1574-6941.2006.00086.x
   van der Heijden MGA, 1998, NATURE, V396, P69, DOI 10.1038/23932
   van Loon LC, 1998, ANNU REV PHYTOPATHOL, V36, P453, DOI 10.1146/annurev.phyto.36.1.453
   VanWoert ND, 2005, HORTSCIENCE, V40, P659, DOI 10.21273/HORTSCI.40.3.659
   Wagner L, 2013, PERSOONIA, V30, P77, DOI 10.3767/003158513X666268
   Wang BX, 2016, ENVIRON EXP BOT, V122, P100, DOI 10.1016/j.envexpbot.2015.09.004
   Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
   Wehner J, 2014, J ECOL, V102, P425, DOI 10.1111/1365-2745.12197
   Wickham H., 2015, R PACKAGE VERSION
   Wiener A.L., 2003, R News, V2
   Wolf D, 2008, ECOL ENG, V33, P179, DOI 10.1016/j.ecoleng.2008.02.008
   Xie L, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0209432
   Yang J, 2009, TRENDS PLANT SCI, V14, P1, DOI 10.1016/j.tplants.2008.10.004
   Zak DR, 2003, ECOLOGY, V84, P2042, DOI 10.1890/02-0433
NR 65
TC 31
Z9 33
U1 8
U2 79
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-701X
J9 FRONT ECOL EVOL
JI Front. Ecol. Evol.
PD JUN 11
PY 2019
VL 7
AR 198
DI 10.3389/fevo.2019.00198
PG 14
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA IC4GQ
UT WOS:000470924100001
OA gold
DA 2025-04-22
ER

PT J
AU Iturriza, M
   Labaka, L
   Ormazabal, M
   Borges, M
AF Iturriza, M.
   Labaka, L.
   Ormazabal, M.
   Borges, M.
TI Awareness -development in the context of climate change resilience
SO URBAN CLIMATE
LA English
DT Article
ID COMMUNITY RESILIENCE; BUILDING RESILIENCE; CHANGE ADAPTATION; URBAN
   RESILIENCE; PERCEPTIONS; SUSTAINABILITY; TRANSFORMATION; 21ST-CENTURY;
   EXPERIENCES; DISASTERS
C1 [Iturriza, M.; Labaka, L.; Ormazabal, M.; Borges, M.] Univ Navarra, TECNUN Escuela Ingn, Pamplona, Spain.
C3 University of Navarra
RP Iturriza, M (corresponding author), Univ Navarra, TECNUN Escuela Ingn, Pamplona, Spain.
EM miturriza@tecnun.es; llabaka@tecnun.es; mborges@tecnun.es;
   mormazabal@tecnun.es
RI Ormazabal, Marta/M-2395-2014; Labaka, Leire/H-9744-2014; Borges,
   Marcos/C-1917-2013
OI Ormazabal, Marta/0000-0002-3602-3912; Labaka, Leire/0000-0002-1721-0624;
   ITURRIZA, MARTA/0000-0002-1645-7385; Borges, Marcos/0000-0002-2992-3429
FU Gobierno Vasco through the scholarship Programa Predoctoral de Formacion
   Personal Investigador No Doctor, curso 2018-2019
FX The authors gratefully acknowledge the financial support provided by
   Gobierno Vasco through the scholarship Programa Predoctoral de Formacion
   Personal Investigador No Doctor, curso 2018-2019.
CR Abdrabo MA, 2015, URBAN CLIM, V14, P554, DOI 10.1016/j.uclim.2015.09.005
   Abegaz DM, 2015, J AGRIC EDUC EXT, V21, P479, DOI 10.1080/1389224X.2014.946936
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2009, INTERDISCIPLINARY AS
   [Anonymous], 2013, INT J DISASTER RESIL, DOI DOI 10.1108/IJDRBE-08-2012-0027
   [Anonymous], 2018, Population Division World Urbanization Prospects: Australia
   [Anonymous], UN SECR GEN INCH C
   [Anonymous], RENEWAB AGR FOOD SYS
   [Anonymous], DONOSTIA SAN SEBASTI
   [Anonymous], SMART MAT RES
   [Anonymous], P ICBR18 8 INT C NOV
   [Anonymous], 2013, 3 RG REPORT PREPARIN
   [Anonymous], 2009, TERM DIS RISK RED
   [Anonymous], CITY COUNTY SAN FRAN
   [Anonymous], HDB MAYORS LOC GOV L
   [Anonymous], UK CLIMATE CHANGE RI
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Bahadur AV, 2014, URBAN CLIM, V7, P20, DOI 10.1016/j.uclim.2013.08.004
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Boin A., 2007, J CCM, V15, P50, DOI DOI 10.1111/J.1468-5973.2007.00504.X
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Burnside-Lawry J, 2016, INT J DISASTER RESIL, V7, P4, DOI 10.1108/IJDRBE-07-2013-0028
   Chapin FS, 2015, ENVIRON SCI POLICY, V53, P38, DOI 10.1016/j.envsci.2015.04.012
   Chappin EJL, 2017, J CLEAN PROD, V156, P556, DOI 10.1016/j.jclepro.2017.04.069
   Choguill CL, 1996, HABITAT INT, V20, P389, DOI 10.1016/0197-3975(96)00013-6
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Connor R., 2004, I CHANGE SUSTAINABLE
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Tàbara JD, 2010, ENVIRON POLICY GOV, V20, P1, DOI 10.1002/eet.530
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Duerden F, 2004, ARCTIC, V57, P204, DOI 10.14430/arctic496
   Endsley M. R., 1988, Proceedings of the IEEE 1988 National Aerospace and Electronics Conference: NAECON 1988 (Cat. No.88CH2596-5), P789, DOI 10.1109/NAECON.1988.195097
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   FORRESTER JW, 1980, J AM STAT ASSOC, V75, P555, DOI 10.2307/2287644
   Gerring J, 2004, AM POLIT SCI REV, V98, P341
   Gifford R, 2011, WIRES CLIM CHANGE, V2, P801, DOI 10.1002/wcc.143
   Gimenez R, 2017, TECHNOL FORECAST SOC, V121, P7, DOI 10.1016/j.techfore.2016.08.001
   Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112
   Guo B, 2017, J CLEAN PROD, V142, P2177, DOI 10.1016/j.jclepro.2016.11.063
   Gurran N, 2013, OCEAN COAST MANAGE, V86, P100, DOI 10.1016/j.ocecoaman.2012.10.014
   Hamilton LC, 2013, WEATHER CLIM SOC, V5, P112, DOI 10.1175/WCAS-D-12-00048.1
   Henly-Shepard S, 2015, ENVIRON SCI POLICY, V45, P109, DOI 10.1016/j.envsci.2014.10.004
   Hurlbert M, 2015, ENVIRON SCI POLICY, V50, P100, DOI 10.1016/j.envsci.2015.01.011
   Index C.R., 2014, CITY RESILIENCE FRAM
   JICK TD, 1979, ADMIN SCI QUART, V24, P602, DOI 10.2307/2392366
   Keenan JM, 2018, ENVIRON SCI POLICY, V88, P116, DOI 10.1016/j.envsci.2018.06.015
   Kernaghan S, 2014, URBAN CLIM, V7, P47, DOI 10.1016/j.uclim.2013.10.008
   King D, 2010, INT J EMERG MANAG, V7, P269, DOI 10.1504/IJEM.2010.037011
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Laakso K, 2013, TECHNOL FORECAST SOC, V80, P1703, DOI 10.1016/j.techfore.2012.12.012
   Lee T, 2015, URBAN CLIM, V14, P566, DOI 10.1016/j.uclim.2015.09.003
   Luís S, 2016, J RISK RES, V19, P810, DOI 10.1080/13669877.2015.1042507
   Luo M, 2019, GEOPHYS RES LETT, V46, P6868, DOI 10.1029/2019GL082736
   M.-D. V, 2018, GLOB WARM 1 5 IPCC S
   Marshall NA, 2011, CLIMATIC CHANGE, V107, P511, DOI 10.1007/s10584-010-9962-y
   Martins RD, 2011, MANAG ENVIRON QUAL, V22, P344, DOI 10.1108/14777831111122914
   McCarthy MP, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042845
   Moglia M, 2018, GLOBAL ENVIRON CHANG, V50, P222, DOI 10.1016/j.gloenvcha.2018.04.009
   Moser SC, 2016, WIRES CLIM CHANGE, V7, P345, DOI 10.1002/wcc.403
   Newell B, 2011, ECOL SOC, V16
   O'Sullivan TL, 2015, SYST RES BEHAV SCI, V32, P616, DOI 10.1002/sres.2250
   Olazabal M, 2019, INT J URBAN SUSTAIN, V11, P277, DOI 10.1080/19463138.2019.1583234
   Pandve Harshal T, 2011, Indian J Occup Environ Med, V15, P109, DOI 10.4103/0019-5278.93200
   Parkhill KA, 2010, T I BRIT GEOGR, V35, P39, DOI 10.1111/j.1475-5661.2009.00364.x
   Pescaroli G, 2018, INT J DISAST RISK RE, V30, P269, DOI 10.1016/j.ijdrr.2018.01.019
   Redshaw S, 2017, AUST J EMERG MANAG, V32, P35
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Ruth M, 2007, CLIM POLICY, V7, P317, DOI 10.1080/14693062.2007.9685659
   Saxena A, 2018, ENVIRON SCI POLICY, V80, P152, DOI 10.1016/j.envsci.2017.11.001
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   Seidman I., 2006, INTERVIEWING QUALITA
   Sheppard SRJ, 2011, FUTURES, V43, P400, DOI 10.1016/j.futures.2011.01.009
   Sisco MR, 2017, CLIMATIC CHANGE, V143, P227, DOI 10.1007/s10584-017-1984-2
   Sollberger S, 2017, J ENVIRON PSYCHOL, V51, P46, DOI 10.1016/j.jenvp.2017.03.001
   Stoknes PE, 2014, ENERGY RES SOC SCI, V1, P161, DOI 10.1016/j.erss.2014.03.007
   Tang ZH, 2010, J ENVIRON PLANN MAN, V53, P41, DOI 10.1080/09640560903399772
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Tritter JQ, 2006, HEALTH POLICY, V76, P156, DOI 10.1016/j.healthpol.2005.05.008
   Valdes HM., 2013, INT J DISASTER RESIL, V4, P5, DOI [10.1108/17595901311299035, DOI 10.1108/17595901311299035]
   Weaver PM, 2006, INT J INNOV SUSTAIN, V1, P238, DOI 10.1504/IJISD.2006.012425
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Weichselgartner J., 2014, A/Z ITU J. Fac. Archit., V11, P20
   Weichselgartner J, 2010, GLOBAL ENVIRON CHANG, V20, P266, DOI 10.1016/j.gloenvcha.2009.11.006
   Xie B, 2019, J ENVIRON PSYCHOL, V65, DOI 10.1016/j.jenvp.2019.101331
   Yin R. K., 2014, CASE STUDY RES DESIG
   Zaalberg R, 2010, LECT NOTES COMPUT SC, V6137, P205, DOI 10.1007/978-3-642-13226-1_21
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 92
TC 17
Z9 19
U1 2
U2 38
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JUN
PY 2020
VL 32
AR 100613
DI 10.1016/j.uclim.2020.100613
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 LY0TO
UT WOS:000540236800009
DA 2025-04-22
ER

PT J
AU Zhu, SY
   Feng, HB
   Shao, QH
AF Zhu, Shiyao
   Feng, Haibo
   Shao, Qiuhu
TI Evaluating Urban Flood Resilience within the Social-Economic-Natural
   Complex Ecosystem: A Case Study of Cities in the Yangtze River Delta
SO LAND
LA English
DT Article
DE social-economic-natural complex ecosystem; urban flood resilience;
   pressure-state-response model; urban flood management
ID COMMUNITY RESILIENCE; RISK-ASSESSMENT; ANHUI PROVINCE; PSR MODEL;
   VULNERABILITY; UNCERTAINTY; MANAGEMENT; EFFICIENCY; CHINA; CITY
AB With global climate change and rapid urbanization, it is critical to assess urban flood resilience (UFR) within the social-economic-natural complex ecosystem in dealing with urban flood disasters. This research proposes a conceptual framework based on the PSR-SENCE model for evaluating and exploring trends in urban flood resilience over time, using 27 cities in the Yangtze River Delta (YRD) of China as case studies. For the overall evaluation, a hybrid weighting method, VIKOR, and sensitivity analysis were used. During that time, UFR in the YRD region averaged a moderate level with an upward trend. This distinguishes between the resilience levels and fluctuation trends of provinces and cities. Jiangsu, Zhejiang, and Anhui provinces all displayed a trend of progressive development; however, Shanghai displayed a completely opposite pattern, mainly because of resilience in the state dimension. During that time, 81.41% of cities exhibited varying, upward trends in urban flood resistance, with few demonstrating inverse changes. Regional, provincial, and city-level implications are proposed for future UFR enhancement. The research contributes to a better understanding of the urban complex ecosystem under flood conditions and provides significant insights for policymakers, urban planners, and practitioners in the YRD region and other similar flood-prone urban areas.
C1 [Zhu, Shiyao; Shao, Qiuhu] Nantong Univ, Sch Transportat & Civil Engn, Nantong 226001, Peoples R China.
   [Zhu, Shiyao; Feng, Haibo] Univ British Columbia, Dept Wood Sci, Vancouver, BC V6T 1Z4, Canada.
C3 Nantong University; University of British Columbia
RP Shao, QH (corresponding author), Nantong Univ, Sch Transportat & Civil Engn, Nantong 226001, Peoples R China.
EM shaoqiuhu@126.com
RI ZHU, SHIYAO/GZB-0532-2022
OI Zhu, Shiyao/0000-0002-3738-2001
FU National Natural Science Foundation of China [72204127]
FX This research was funded by the National Natural Science Foundation of
   China (Grant number: 72204127).
CR Adediran I.A., 2023, Asian Econ. Lett, V4, DOI [10.46557/001c.39732, DOI 10.46557/001C.39732]
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Aerts JCJH, 2011, ANN NY ACAD SCI, V1227, P1, DOI 10.1111/j.1749-6632.2011.06074.x
   Alexandre K, 2018, GEOFORUM, V97, P66, DOI 10.1016/j.geoforum.2018.10.010
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   Aronica GT, 2005, HYDROL PROCESS, V19, P1105, DOI 10.1002/hyp.5648
   Brown C, 2018, ENVIRON DEV SUSTAIN, V20, P23, DOI 10.1007/s10668-016-9891-7
   Bucherie A, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102897
   Bulkeley H., 2023, Governing Climate Change
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Chakraborty L, 2022, ENVIRON RES, V210, DOI 10.1016/j.envres.2022.112982
   Chandra A, 2013, AM J PUBLIC HEALTH, V103, P1181, DOI 10.2105/AJPH.2013.301270
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Cheng XT, 2018, INT J RIVER BASIN MA, V16, P307, DOI 10.1080/15715124.2018.1437741
   Climate Change Center of China Meteorological Administration, 2022, BLUE BOOK CLIM CHANG
   Communist Party of China Central Committee and the State Council, COMM PART CHIN CENTR
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Denyer D., 2009, Producing a systematic review, P671, DOI DOI 10.1080/03634528709378635
   Dewa O, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12874
   Ding W, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104296
   Du SQ, 2019, SUSTAIN CITIES SOC, V44, P774, DOI 10.1016/j.scs.2018.11.003
   Duan Lin-sen, 2020, International Journal of Design and Nature and Ecodynamics, V15, P545, DOI 10.18280/ijdne.150412
   Eldho TI, 2018, INTEGRATING DISASTER SCIENCE AND MANAGEMENT: GLOBAL CASE STUDIES IN MITIGATION AND RECOVERY, P205, DOI 10.1016/B978-0-12-812056-9.00012-9
   Fan JW, 2023, SCI TOTAL ENVIRON, V868, DOI 10.1016/j.scitotenv.2023.161662
   Fenner R, 2019, WATER-SUI, V11, DOI 10.3390/w11051082
   Gall M, 2011, SUSTAINABILITY-BASEL, V3, P2157, DOI 10.3390/su3112157
   Gawith D, 2016, J ENVIRON PLANN MAN, V59, P2102, DOI 10.1080/09640568.2015.1126241
   Gu HH, 2018, SUSTAIN CITIES SOC, V41, P170, DOI 10.1016/j.scs.2018.05.047
   Gu JJ, 2023, LAND-BASEL, V12, DOI 10.3390/land12020289
   Guo XA, 2023, CITIES, V134, DOI 10.1016/j.cities.2022.104168
   Ha'apio MO, 2019, WORLD DEV, V122, P514, DOI 10.1016/j.worlddev.2019.06.023
   Haque MM, 2022, INT J DISAST RISK RE, V72, DOI 10.1016/j.ijdrr.2022.102861
   Hayati N, 2023, IOP C SER EARTH ENV, V1127, DOI 10.1088/1755-1315/1127/1/012008
   Hingmire A.M., 2023, INTELL CYBER PHYS SY, V2022, P303, DOI [10.1007/978-3-031-18497-0_23, DOI 10.1007/978-3-031-18497-0_23]
   Hopkins KD, 2018, CHILD ABUSE NEGLECT, V78, P85, DOI 10.1016/j.chiabu.2017.11.014
   Hosseini S, 2016, COMPUT IND ENG, V93, P252, DOI 10.1016/j.cie.2016.01.007
   Hsieh CH, 2020, TRANSPORT POLICY, V87, P1, DOI 10.1016/j.tranpol.2018.08.010
   Hutter G, 2016, ENVIRON SCI POLICY, V55, P302, DOI 10.1016/j.envsci.2015.07.028
   Jiang BY, 2021, GEOFLUIDS, V2021, DOI 10.1155/2021/5520351
   Jurjonas M, 2018, OCEAN COAST MANAGE, V162, P137, DOI 10.1016/j.ocecoaman.2017.10.010
   Karashima K., 2023, NATURAL HAZARDS NEW, DOI [10.5772/intechopen.109461, DOI 10.5772/INTECHOPEN.109461]
   Kuhlicke C, 2016, GLOBAL ENVIRON CHANG, V37, P56, DOI 10.1016/j.gloenvcha.2016.01.007
   Lei CG, 2023, URBAN CLIM, V47, DOI 10.1016/j.uclim.2022.101399
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li GF, 2013, STOCH ENV RES RISK A, V27, P1683, DOI 10.1007/s00477-013-0706-1
   Linnenluecke MK, 2012, BUS STRATEG ENVIRON, V21, P17, DOI 10.1002/bse.708
   Liu D, 2019, J CLEAN PROD, V241, DOI 10.1016/j.jclepro.2019.118406
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   Luthar SS, 2000, CHILD DEV, V71, P543, DOI 10.1111/1467-8624.00164
   Maskong H, 2019, INT J GEOMATE, V16, P1, DOI 10.21660/2019.54.81342
   Mendoza-Cano O, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16122128
   Min SK, 2011, NATURE, V470, P378, DOI 10.1038/nature09763
   Osti R., 2017, ADB East Asia Working Paper Series
   Percival S, 2019, NAT HAZARDS, V97, P355, DOI 10.1007/s11069-019-03648-7
   Duy PN, 2019, TRAVEL BEHAV SOC, V15, P28, DOI 10.1016/j.tbs.2018.11.001
   Qi WC, 2022, J CLEAN PROD, V355, DOI 10.1016/j.jclepro.2022.131797
   Rahman M.N., 2021, Geosfera Indones, V6, P143
   Rapport D.J., 1979, COMPREHENSIVE FRAMEW, P11
   Ro B, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103474
   Rojas C, 2015, HABITAT INT, V48, P177, DOI 10.1016/j.habitatint.2015.03.017
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Saaty T. L., 2004, Journal of Systems Science and Systems Engineering, V13, P1, DOI 10.1007/s11518-006-0151-5
   Shanghai Bureau of Statistics, 2020, STAT BOOK SHANGH
   Slavkov L., 2022, Hometown. Resilient City, P79
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   UNDRR, ABOUT US
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   Wang Q, 2019, J CLEAN PROD, V206, P171, DOI 10.1016/j.jclepro.2018.09.057
   Wang YT, 2021, ECOTOXICOLOGY, V30, P622, DOI 10.1007/s10646-021-02399-1
   Wang YC, 2018, J URBAN MANAG, V7, P141, DOI 10.1016/j.jum.2018.11.004
   Wenger C, 2017, ECOL SOC, V22, DOI 10.5751/ES-09491-220318
   Wijayawardana N, 2023, URBAN SCI, V7, DOI 10.3390/urbansci7010017
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Xiao Y, 2013, J AM PLANN ASSOC, V79, P148, DOI 10.1080/01944363.2013.882125
   Xu BK, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15042939
   Yi PT, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2023.103528
   Yin JB, 2023, SCI CHINA EARTH SCI, V66, P92, DOI 10.1007/s11430-022-9987-0
   Yu Y, 2021, ENVIRON SCI POLLUT R, V28, P48638, DOI 10.1007/s11356-021-14087-y
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang XW, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2022.101402
   Zhao HS, 2021, IEEE ACCESS, V9, P76423, DOI 10.1109/ACCESS.2021.3081142
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   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
   Zhu SY, 2020, HABITAT INT, V103, DOI 10.1016/j.habitatint.2020.102232
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 88
TC 9
Z9 9
U1 27
U2 90
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUN
PY 2023
VL 12
IS 6
AR 1200
DI 10.3390/land12061200
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA K2PK8
UT WOS:001014908800001
OA gold
DA 2025-04-22
ER

PT J
AU Peng, Y
   Zhang, YY
   Gu, XB
AF Peng, Yi
   Zhang, Yiye
   Gu, Xinbing
TI Assessment of Resilient Governance Capacity toward COVID-19 in Chinese
   Cities
SO NATURAL HAZARDS REVIEW
LA English
DT Article
DE Resilient governance capacity; Local governance; Public perception;
   Coordination capacity; China
ID CRISIS; POLICIES
AB Resilient governance is essential to coping with complicated emergencies such as COVID-19. Existing studies have explored the public health system's governance capacity and resilient issues. Although local governments play critical roles in responding to epidemics, few studies have examined the local government's resilient governance capacity. This study develops a conceptual framework to assess local government's resilient governance capacity toward epidemics from preparedness, awareness, response, learning, and coordination dimensions. Wuhan, Xi'an, Shijiazhuang, and Hangzhou were selected as cases to collect questionnaire survey data on local resilient governance capacity. The full-permutation polygon synthetic indicator method (FPPSI) is used to assess the performance of case cities. The study found that Hangzhou is ranked the highest, with Wuhan second, Xi'an third, and Shijiazhuang last in the comprehensive performance. Coordination is found vital for resilient governance. The governments have weaknesses in preparedness capacity, coordination capacity, and learning capacity. It is necessary to strengthen the balance between epidemic prevention and control and socioeconomic development. Comprehensive resilient governance strategies have also been proposed to guide governmental practice. This study can provide references for local governments to cope with future epidemic events.
C1 [Peng, Yi] Nanjing Univ, Sch Govt, Dept Emergency Management, Nanjing 210023, Jiangsu, Peoples R China.
   [Zhang, Yiye] Zhejiang Univ Finance & Econ, Engn Management Educ Ctr, Sch Publ Adm, Hangzhou 310012, Zhejiang, Peoples R China.
   [Gu, Xinbing] Univ Nottingham, Univ Nottingham Business Sch China, Ningbo, Peoples R China.
C3 Nanjing University; Zhejiang University of Finance & Economics;
   University of Nottingham Ningbo China
RP Zhang, YY (corresponding author), Zhejiang Univ Finance & Econ, Engn Management Educ Ctr, Sch Publ Adm, Hangzhou 310012, Zhejiang, Peoples R China.
EM pengyi@nju.edu.cn; zhangyiye@zufe.edu.cn; xinbing.gu@nottingham.edu.cn
RI Gu, Xinbing/ABZ-9740-2022
OI Gu, Xinbing/0000-0002-1570-0646
FU Humanities and Social Sciences Research and Planning Foundation of the
   Ministry of Education of China [22YJA630063]; Fundamental Research Funds
   for the Central Universities [0117/14370313]; Consulting Program of
   Chinese Academy of Sciences [2022-ZW14-027]
FX This study was jointly supported by the Humanities and Social Sciences
   Research and Planning Foundation of the Ministry of Education of China
   (22YJA630063), the Fundamental Research Funds for the Central
   Universities (0117/14370313), and the Consulting Program of Chinese
   Academy of Sciences (2022-ZW14-027).
CR Agwunobi A, 2016, CALIF MANAGE REV, V58, P141, DOI 10.1525/cmr.2016.58.4.141
   [Anonymous], 2022, Coronavirus Pandemic (COVID-19)
   Bean H, 2021, NAT HAZARDS REV, V22, DOI 10.1061/(ASCE)NH.1527-6996.0000472
   Biswas S, 2022, DISASTER MED PUBLIC, V16, P2120, DOI 10.1017/dmp.2021.264
   Blanchet K, 2017, INT J HEALTH POLICY, V6, P431, DOI 10.15171/ijhpm.2017.36
   Cai Q. R., 2021, New Horiz. Tianfu, V2021, P118, DOI [10.3969/j.issn.1004-0633.2021.04.015, DOI 10.3969/J.ISSN.1004-0633.2021.04.015]
   Cepiku D, 2021, J PUBLIC BUDGET ACC, V33, P47, DOI 10.1108/JPBAFM-07-2020-0134
   Chatfield AT, 2018, GOV INFORM Q, V35, P336, DOI 10.1016/j.giq.2017.11.002
   Chen Y., 2022, Public Adm. Policy Rev, V11, P73, DOI [10.3969/j.issn.2095-4026.2022.01.013, DOI 10.3969/J.ISSN.2095-4026.2022.01.013]
   Chi G. S., 2022, Fixed income theme report: Comprehensive overview of fiscal strength in 268 prefecture-level cities nationwide
   Chu Z, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103304
   Coccia M, 2022, ENVIRON RES, V203, DOI 10.1016/j.envres.2021.111678
   Comfort LK, 2007, PUBLIC ADMIN REV, V67, P189, DOI 10.1111/j.1540-6210.2007.00827.x
   Cronert A., 2020, PREPRINT
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Desdiani NA, 2022, ECONOMIES, V10, DOI 10.3390/economies10050108
   Deslatte A, 2020, AM REV PUBLIC ADM, V50, P489, DOI 10.1177/0275074020941676
   Djalante R, 2020, PROG DISASTER SCI, V6, DOI 10.1016/j.pdisas.2020.100080
   Djordjevic S, 2011, ENVIRON SCI POLICY, V14, P864, DOI 10.1016/j.envsci.2011.05.008
   DOVERS SR, 1992, GLOBAL ENVIRON CHANG, V2, P262, DOI 10.1016/0959-3780(92)90044-8
   Duchek Stephanie., 2019, BUSINESS RES, DOI DOI 10.1007/S40685-019-0085-7
   Fang DP, 2020, BMJ GLOB HEALTH, V5, DOI 10.1136/bmjgh-2020-002815
   Feng Q. L., 2021, J. Jiangsu Adm. Inst, V2021, P130, DOI [10.3969/j.issn.1009-8860.2021.02.017, DOI 10.3969/J.ISSN.1009-8860.2021.02.017]
   Foli RK, 2022, POLICY SOC, V41, P217, DOI 10.1093/polsoc/puac008
   Fu LP, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.842373
   Gao X. Y., 2022, Shandong Univ, V2022, DOI [10.27272/d.cnki.gshdu.2021.001767, DOI 10.27272/D.CNKI.GSHDU.2021.001767]
   Gbadamosi AQ, 2020, PROG DISASTER SCI, V8, DOI 10.1016/j.pdisas.2020.100130
   Global Urban Competitiveness Report, 2020, Special report on the competitiveness of urban medical hardware environment in Chinese cities: China's urban medical resources and service capacity under the impact of COVID-19
   Gong R. R., 2021, World Agric, V2021, P35, DOI [10.13856/j.cn11-1097/s.2021.11.004, DOI 10.13856/J.CN11-1097/S.2021.11.004]
   Hafsi T, 2023, J MANAGE INQUIRY, V32, P152, DOI 10.1177/10564926221082494
   Hanson C, 2021, BMJ GLOB HEALTH, V6, DOI 10.1136/bmjgh-2021-006691
   He J. X., 2018, Rev. Econ. Manage, V34, P68, DOI [10.13962/j.cnki.37-1486/f.2018.01.006, DOI 10.13962/J.CNKI.37-1486/F.2018.01.006]
   Health Commission of Shaanxi Province, 2022, Public announcement on the investigation and rectification of nucleic acid testing institutions in Shaanxi Province
   Hsiang S, 2020, NATURE, V584, P262, DOI 10.1038/s41586-020-2404-8
   Huang CL, 2020, LANCET, V395, P497, DOI [10.1016/S0140-6736(20)30183-5, 10.1016/S0140-6736(20)30211-7]
   Islam Nazrul, 2020, BMJ, V370, pm2743, DOI 10.1136/bmj.m2743
   Jacobi J, 2018, LAND USE POLICY, V79, P433, DOI 10.1016/j.landusepol.2018.08.044
   Jiang DY, 2022, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.787190
   Jiang X. H., 2007, Research on emergency management of public health emergencies
   Jiang Y. Z., 2020, J. Public Manage, V17, P1
   Kaiser F, 2022, Arxiv, DOI arXiv:2105.06687
   Kandel N, 2020, LANCET, V395, P1047, DOI 10.1016/S0140-6736(20)30553-5
   Karabanow J, 2023, NAT HAZARDS REV, V24, DOI 10.1061/NHREFO.NHENG-1498
   Kim S, 2022, GLOBALIZATION HEALTH, V18, DOI 10.1186/s12992-022-00873-x
   Kok DQR, 2021, ASIAN ECON PAP, V20, P1, DOI 10.1162/asep_a_00833
   Kruk ME, 2017, BMJ-BRIT MED J, V357, DOI 10.1136/bmj.j2323
   Lebel L, 2006, ECOL SOC, V11
   Lee Seulki, 2020, International Review of Public Administration, V25, P19
   Li G. P., 2020, Peoples Tribune, V2020, P18
   Li T, 2022, RISK MANAG HEALTHC P, V15, P677, DOI 10.2147/RMHP.S346556
   Li YR, 2022, POLICY INTERNET, V14, P651, DOI 10.1002/poi3.282
   Lin Xue., 2020, Administrative Tribune, V27, P88, DOI [https://doi.org/10.16637/j.cnki.23-1360/d.2020.05.012, DOI 10.16637/J.CNKI.23-1360/D.2020.05.012]
   Ma B., 2020, Peoples Tribune, V2020, P24
   Mahendradhata Y, 2021, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.649819
   Mao YX, 2023, HEALTH POLICY PLANN, V38, P552, DOI 10.1093/heapol/czad007
   McGinnis MD, 2011, POLICY STUD J, V39, P169, DOI 10.1111/j.1541-0072.2010.00401.x
   McManus S., 2007, Resilience management: a framework for assessing and improving the resilience of organisations
   Nan R., 2022, Contemp. Finance Econ, V32, P13, DOI [10.13676/j.cnki.cn36-1030/f.2022.02.005, DOI 10.13676/J.CNKI.CN36-1030/F.2022.02.005]
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Parr S, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000409
   Peng Y, 2020, NAT HAZARDS, V104, P139, DOI 10.1007/s11069-020-04241-z
   Peng Y, 2018, HABITAT INT, V71, P169, DOI 10.1016/j.habitatint.2017.11.008
   Ren JF, 2022, ECON RES-EKON ISTRAZ, V35, P5420, DOI 10.1080/1331677X.2022.2028176
   Rong Z., 2021, Theory Reform, V55, P16, DOI [10.13553/j.cnki.llygg.2021.06.005, DOI 10.13553/J.CNKI.LLYGG.2021.06.005]
   Rong Z., 2022, Theory Reform, V22, P15, DOI [10.13553/j.cnki.llygg.2022.03.008, DOI 10.13553/J.CNKI.LLYGG.2022.03.008]
   Sadiq AA, 2020, AM REV PUBLIC ADM, V50, P635, DOI 10.1177/0275074020942060
   Stivers C, 2022, PUBLIC ADMIN REV, V82, P354, DOI 10.1111/puar.13350
   Sun X. B., 2019, Manage. World, V35, P20, DOI [10.3969/j.issn.1002-5502.2019.09.011, DOI 10.3969/J.ISSN.1002-5502.2019.09.011]
   SWS Research, 2022, Under the influence of the epidemic, which policies may be increased?
   Tang Y. L., 2020, Academics, V2020, P22
   The Chinese Government Website, 2022, PRESS C JOINT PREVEN
   Toshkov D, 2022, J EUR PUBLIC POLICY, V29, P1009, DOI 10.1080/13501763.2021.1928270
   UNISDR (United Nations Office for Disaster Risk Reduction), 2010, Information kit for ISDR 2010-2011 world disaster reduction campaign
   Wang P. Q., 2003, J. Peking Univ, V40, P20
   Wang S. M., 2021, Reform Opening, V2021, P7, DOI [10.16653/j.cnki.32-1034/f.2021.005.007, DOI 10.16653/J.CNKI.32-1034/F.2021.005.007]
   Waugh W.L., 2015, Living with hazards: Dealing with disasters. An introduction to emergency management
   Whitelaw S, 2020, LANCET DIGIT HEALTH, V2, pE435, DOI 10.1016/S2589-7500(20)30142-4
   Williams G, 2000, CITIES, V17, P293, DOI 10.1016/S0264-2751(00)00025-1
   Wu XL, 2023, INT PUBLIC MANAG J, V26, P305, DOI 10.1080/10967494.2023.2172118
   Xie X. Q., 2022, Urban Probl, V44, P86, DOI [10.13239/j.bjsshkxy.cswt.220209, DOI 10.13239/J.BJSSHKXY.CSWT.220209]
   Xinhua News Agency, 2022, Xinhua commentary: Strengthen confidence, coordinate epidemic prevention and control with economic and social development
   Xu H., 2019, J. Risk Disaster Crisis Res, V44, P26
   Xue Y. Y., 2019, Investigation on urban residents perception of waterlogging disaster risk and research on improvement strategies: A case study of Xian
   Yan XL, 2023, ENG CONSTR ARCHIT MA, V30, P3123, DOI 10.1108/ECAM-10-2021-0935
   Yu X, 2020, RISK MANAG HEALTHC P, V13, P491, DOI 10.2147/RMHP.S251351
   Zhang C., 2021, Mod. Econ. Res, V2021, P119
   Zhang H.B., 2021, Wuhan University Journal (Philosophy & Social Sciences), V74, P114, DOI [10.14086/j.cnki.wujss.2021.04.010, DOI 10.14086/J.CNKI.WUJSS.2021.04.010]
   Zhang HT., 2020, INFORM SCIENTIST, V38, P129
   Zhang M. D., 2022, J. Ningxia Univ, V44, P68
   Zhao F. Z., 2019, Hangzhou Daily
   Zhao H. B., 2020, Econ. Geogr, V40, P8, DOI [10.15957/j.cnki.jjdl.2020.04.012, DOI 10.15957/J.CNKI.JJDL.2020.04.012]
   Zhao T, 2020, AM REV PUBLIC ADM, V50, P777, DOI 10.1177/0275074020942455
   Zhao Y., 2021, Leadersh. Sci, V2021, P16, DOI [10.3969/j.issn.1003-2606.2021.18.005, DOI 10.3969/J.ISSN.1003-2606.2021.18.005]
   Zhu J, 2020, GLOB HEALTH RES POL, V5, DOI 10.1186/s41256-020-00162-3
   Zhu Z., 2020, Southeast Acad. Res, V2020, P11
NR 95
TC 1
Z9 1
U1 20
U2 29
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 2024
VL 25
IS 3
AR 04024023
DI 10.1061/NHREFO.NHENG-2013
PG 14
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 UJ1G5
UT WOS:001247592800006
DA 2025-04-22
ER

PT J
AU Song, J
   Li, WF
AF Song, Jing
   Li, Weifeng
TI Linkage Between the Environment and Individual Resilience to Urban
   Flooding: A Case Study of Shenzhen, China
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE individual resilience; human behavior; environmental cognition; urban
   flooding; hierarchical linear model (HLM)
ID CLIMATE-CHANGE; COMMUNITY RESILIENCE; VULNERABILITY; PLACE; INDICATORS;
   BEHAVIOR; IMPACT; CITIES; SENSE
AB Resilience is widely accepted as the capacities implemented to manage climate change. Exploring how individual resilience can be enhanced to better prepare residents for natural disasters, such as urban flooding, is therefore necessary. Environmental cognitions that provide psychological and physiological benefits to people by adding motivation to interact with the place are factors influencing people's resilience-oriented behaviors but have largely been ignored in existing research. As such, this study establishes a framework for the concept of individual resilience to urban flooding. Gongming, a sub-district of Shenzhen, China, is considered the case area wherein individual resilience and its environmental determinants are evaluated. Through hierarchical linear modeling, the environmental determinants of individual resilience at the individual and community levels are identified. At the individual level, the main factors are a few green spaces, low quality of the built environment, mutual distrust and lack of well-being perceived by residents. At the community level, the results suggest that the social environment, particularly its gatedness, is pivotal to individual resilience. This study offers an approach for analyzing factors that limit individual resilience from the environmental perspective, thereby providing a basis for formulating corresponding policy recommendations to effectively improve resilience through urban planning.
C1 [Song, Jing] Peking Univ, Shenzhen Grad Sch, Sch Urban Planning & Design, Key Lab Environm & Urban Sci, Shenzhen 518055, Peoples R China.
   [Song, Jing] Qianhai Inst Innovat Res, Shenzhen 518052, Peoples R China.
   [Li, Weifeng] Univ Hong Kong, Dept Urban Planning & Design, Hong Kong, Peoples R China.
   [Li, Weifeng] Univ Hong Kong, Shenzhen Inst Res & Innovat, Shenzhen 518057, Peoples R China.
C3 Peking University; University of Hong Kong; University of Hong Kong; The
   University of Hong Kong Shenzhen Institute of Research & Innovation
RP Li, WF (corresponding author), Univ Hong Kong, Dept Urban Planning & Design, Hong Kong, Peoples R China.; Li, WF (corresponding author), Univ Hong Kong, Shenzhen Inst Res & Innovat, Shenzhen 518057, Peoples R China.
EM wfli@hku.hk
RI /E-1478-2011
OI /0000-0001-5386-3019
FU programs of Science and Technology of Shenzhen [JSGG20170824110218769];
   fundamental research of Shenzhen Science and Technology Innovation
   Committee [JCYJ20170412150910443]
FX This research was funded by the programs of Science and Technology of
   Shenzhen (JSGG20170824110218769) and fundamental research of Shenzhen
   Science and Technology Innovation Committee (JCYJ20170412150910443).
CR Abass ZI, 2018, J ENVIRON PSYCHOL, V56, P36, DOI 10.1016/j.jenvp.2018.02.005
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Aldrich D.P., 2012, Building Resilience: Social Capital in Post-Disaster Recovery, P1, DOI DOI 10.7208/CHICAGO/9780226012896.001.0001
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Burnham M, 2017, REG ENVIRON CHANGE, V17, P171, DOI 10.1007/s10113-016-0975-6
   Carmona M., 2012, Public places-Urban spaces
   Chamlee-Wright E, 2009, J URBAN AFF, V31, P615, DOI 10.1111/j.1467-9906.2009.00479.x
   Chao YL, 2011, ENVIRON BEHAV, V43, P53, DOI 10.1177/0013916509350849
   Cohen O, 2016, ECOL INDIC, V66, P497, DOI 10.1016/j.ecolind.2016.02.012
   Cohen O, 2013, TECHNOL FORECAST SOC, V80, P1732, DOI 10.1016/j.techfore.2012.12.009
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dolan RJ, 2002, SCIENCE, V298, P1191, DOI 10.1126/science.1076358
   Fabricius C., POWERLESS SPECTATORS
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Guiver J. W., ROLE SOCIAL NETWORKS
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   Henly-Shepard S, 2015, ENVIRON SCI POLICY, V45, P109, DOI 10.1016/j.envsci.2014.10.004
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Kelder S.H., 2015, HLTH BEHAV THEORY RE, V5th, P144
   Lam SP, 2002, ENVIRON BEHAV, V34, P508, DOI 10.1177/00116502034004006
   Lee YJ, 2014, ENVIRON IMPACT ASSES, V44, P31, DOI 10.1016/j.eiar.2013.08.002
   Leykin D, 2013, AM J COMMUN PSYCHOL, V52, P313, DOI 10.1007/s10464-013-9596-0
   Li SM, 2012, URBAN GEOGR, V33, P237, DOI 10.2747/0272-3638.33.2.237
   Loo BPY, 2017, ANN AM ASSOC GEOGR, V107, P812, DOI 10.1080/24694452.2016.1271306
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meri J, 2017, LANDSCAPE URBAN PLAN, V161, P10, DOI 10.1016/j.landurbplan.2017.01.002
   Mirza MMQ, 2003, CLIM POLICY, V3, P233, DOI 10.1016/S1469-3062(03)00052-4
   Pacione M, 2003, LANDSCAPE URBAN PLAN, V65, P21, DOI 10.1016/S0169-2046(02)00234-7
   Paton D., 2017, Disaster resilience: an integrated approach
   [彭建 Peng Jian], 2018, [生态学报, Acta Ecologica Sinica], V38, P3741
   Pow CP, 2007, URBAN GEOGR, V28, P129, DOI 10.2747/0272-3638.28.2.129
   Proshansky H.M., 1983, J ENVIRON PSYCHOL, V3, P57, DOI 10.1016/S0272-4944(83)80021-8
   Shamsuddin S, 2008, HABITAT INT, V32, P399, DOI 10.1016/j.habitatint.2008.01.004
   Smith JW, 2012, RURAL SOCIOL, V77, P380, DOI 10.1111/j.1549-0831.2012.00082.x
   Soetanto R, 2017, NAT HAZARDS, V86, P1105, DOI 10.1007/s11069-016-2732-z
   Spence RJS, 2005, NAT HAZARD EARTH SYS, V5, P477, DOI 10.5194/nhess-5-477-2005
   Stokols D, 2013, ECOL SOC, V18, DOI 10.5751/ES-05301-180107
   Tian FF, 2018, RES SOC STRAT MOBIL, V56, P12, DOI 10.1016/j.rssm.2018.06.001
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Uzzell D, 2002, ENVIRON BEHAV, V34, P26, DOI 10.1177/0013916502034001003
   van Kamp I, 2003, LANDSCAPE URBAN PLAN, V65, P7
   Vugrin ED, 2011, INT J CRIT INFRASTRU, V7, P243, DOI 10.1504/IJCIS.2011.042994
   Webster C, 2002, ENVIRON PLANN B, V29, P397, DOI 10.1068/b2755r
   Wickes R, 2015, SOC SCI QUART, V96, P330, DOI 10.1111/ssqu.12144
   Wu J., 2008, NAT HAZARD EARTH SYS, V18, P2525
   Xu J., 2015, Urban Plates Internet, V30, P1
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 48
TC 13
Z9 13
U1 14
U2 76
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 JUL 2
PY 2019
VL 16
IS 14
AR 2559
DI 10.3390/ijerph16142559
PG 15
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 IQ3NV
UT WOS:000480659300112
PM 31323739
OA gold, Green Submitted, Green Published
DA 2025-04-22
ER

PT J
AU Li, Y
   Kappas, M
   Li, YF
AF Li, Yi
   Kappas, Martin
   Li, Yangfan
TI Exploring the coastal urban resilience and transformation of coupled
   human-environment systems
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Urban transformation; Resilience; Catastrophe theory; Adaptive cycle;
   Human-environment systems; Environment management
ID CITIES; CHINA; URBANIZATION; METAPHOR; SHIFTS
AB Resilience thinking explores the sustainability discourse and transformation of urban complex systems. From the perspective of urban and human environment, this research simulated the resilience transformation of human-environment systems according to the modified catastrophe theory. The adaptive cycle model was performed an approach to interpret resilience transformations in the interactive human-environment systems. In this study, we quantified the resilience of human and environment subsystems through four models of catastrophe theory (Fold, Cusp, Swallowtail and Butterfly model). The resilience transformation was addressed through the mechanism of adaptive cycle that contained four phases within four different time periods (exploitation-r: 2000-2002; release phase-Omega: 2002-2003; conservation-K: 2004-2008 and exploitation-r: 2008-2010). Ultimately, we explored the key drivers of the transformation in complex human-environmental systems, which included production, energy and pollution. Moreover, understanding the transformations in terms of the human and environmental components were indispensable in urban resilience management. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Li, Yi; Li, Yangfan] Xiamen Univ, Coll Environm & Ecol, Key Lab Coastal & Wetland Ecosyst, Minist Educ, Xiamen 361102, Peoples R China.
   [Li, Yi; Kappas, Martin] Georg August Univ Goettingen, Inst Geog, Dept Cartog GIS & Remote Sensing, D-37077 Gottingen, Germany.
C3 Xiamen University; University of Gottingen
RP Li, YF (corresponding author), Xiamen Univ, Coll Environm & Ecol, Key Lab Coastal & Wetland Ecosyst, Minist Educ, Xiamen 361102, Peoples R China.
EM yangf@xmu.edu.cn
RI LI, Yangfan/AAD-9857-2022
OI Li, Yi/0000-0002-7871-5351
FU National Natural Science Foundation of China (NSFC) [41671084];
   Fundamental Research Funds for the Central Universities of China
   [20720150074]
FX Many thanks to Matthew Gaudreau, Dr. Jan Degener and Jianhui Qiu for
   their helpful suggestions. Financial support was provided by: the
   National Natural Science Foundation of China (NSFC) Grants (41671084),
   Fundamental Research Funds for the Central Universities of China
   (20720150074).
CR Allington GRH, 2017, ENVIRON SCI POLICY, V68, P35, DOI 10.1016/j.envsci.2016.11.005
   [Anonymous], 2011, LIAN ENV QUAL B
   [Anonymous], 2001, LIAN STAT YB 2001 20
   Bauch CT, 2016, P NATL ACAD SCI USA, V113, P14560, DOI 10.1073/pnas.1604978113
   Brelsford C, 2017, P NATL ACAD SCI USA, V114, P8963, DOI 10.1073/pnas.1606033114
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Ernst L, 2016, J CLEAN PROD, V112, P2988, DOI 10.1016/j.jclepro.2015.10.136
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gaudreau M., 2014, GLOB ENV POL, V14, P139
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Li YF, 2017, ECOL INDIC, V72, P225, DOI 10.1016/j.ecolind.2016.08.021
   Li YF, 2014, REG ENVIRON CHANGE, V14, P1175, DOI 10.1007/s10113-013-0552-1
   Lin BB, 2013, ECOL SOC, V18, DOI 10.5751/ES-05128-180128
   Liu DD, 2012, WATER RESOUR MANAG, V26, P3743, DOI 10.1007/s11269-012-0100-7
   Ma LJC, 2002, ENVIRON PLANN A, V34, P1545, DOI 10.1068/a34192
   Mann S, 2009, LAND USE POLICY, V26, P919, DOI 10.1016/j.landusepol.2008.11.004
   McCormick K, 2013, J CLEAN PROD, V50, P1, DOI 10.1016/j.jclepro.2013.01.003
   Montgomery MR, 2008, SCIENCE, V319, P761, DOI 10.1126/science.1153012
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Polling M., 2011, ECOL SOC, V16, P209
   Poston T., 1978, CATASTROPHE THEORY A
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Stokols D, 2013, ECOL SOC, V18, DOI 10.5751/ES-05301-180107
   Thom R., 1969, TOPOLOGY, V8, P313, DOI [10.1016/0040-9383, DOI 10.1016/0040-9383, 10.1016/0040-9383(69)90018-4, DOI 10.1016/0040-9383(69)90018-4]
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   UN-HABITAT, 2010, STAT WORLDS CIT 2010
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wu JG, 2013, LANDSCAPE ECOL, V28, P999, DOI 10.1007/s10980-013-9894-9
   Ye L, 2013, J URBAN PLAN DEV, V139, P292, DOI 10.1061/(ASCE)UP.1943-5444.0000160
   ZEEMAN EC, 1976, SCI AM, V234, P65, DOI 10.1038/scientificamerican0476-65
NR 33
TC 44
Z9 49
U1 11
U2 184
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 SEP 10
PY 2018
VL 195
BP 1505
EP 1511
DI 10.1016/j.jclepro.2017.10.227
PG 7
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 GO8ZC
UT WOS:000440390900127
DA 2025-04-22
ER

PT J
AU Wang, WJ
   Xu, C
   He, JC
   Chi, ZW
   Bai, WL
   Liu, R
AF Wang, Wenjing
   Xu, Chao
   He, Junchao
   Chi, Zhongwen
   Bai, Weilan
   Liu, Rui
TI Resilience-Vulnerability Balance and Obstacle Factor Analysis in Urban
   Flooding: A Case Study in the Qinghai-Tibetan Plateau
SO BUILDINGS
LA English
DT Article
DE Qinghai Province; flood disaster; resilience assessment; Z-score;
   obstacle factor analysis; resilience enhancement strategy
ID SOCIAL VULNERABILITY; COMMUNITY RESILIENCE; FRAMEWORK; INDEX; GIS
AB Under the combined influence of climate change and urban development, the risk of urban flooding caused by extreme weather events has increased significantly, making assessing flood vulnerability and resilience increasingly crucial for urban flood management. With the 45 counties in Qinghai Province as the research objects, the hazard risk of flood and exposure are combined to study their vulnerability. At the same time, resilience is evaluated by the indicators selected from four dimensions (society, economy, environment, and infrastructure). Through Z-scoring, the vulnerability and resilience of each county are clustered into four groups to explore their associations from a spatial balance perspective. Obstacle factor analysis is introduced to summarize the key factors affecting the improvement of urban resilience in Qinghai Provence. The results show that the eastern areas of Qinghai experience high vulnerability to flooding because of high levels of hazard and exposure. What is more, Xining, Haidong, and Haixi experience a high level of resilience. A strong spatial mismatch between vulnerability and resilience exists in Qinghai, with 24 counties (58%) being self-adapted, 8 counties (18%) over-abundant, and 11 counties deficient in terms of nature-nurture. The length of levee and number of beds in medical institutions are the main obstacles to resilience in Qinghai. The research results can provide a theoretical and scientific basis for future urban flood management and resilience development in the Qinghai-Tibetan Plateau.
C1 [Wang, Wenjing; He, Junchao; Chi, Zhongwen; Bai, Weilan; Liu, Rui] China Urban Construct Design & Res Inst Co Ltd, Beijing 100120, Peoples R China.
   [Xu, Chao] Beijing Univ Civil Engn & Architecture, Beijing Adv Innovat Ctr Future Urban Design, Sch Architecture & Urban Planning, Beijing 100044, Peoples R China.
C3 Beijing University of Civil Engineering & Architecture
RP Bai, WL (corresponding author), China Urban Construct Design & Res Inst Co Ltd, Beijing 100120, Peoples R China.
EM wangwenjingyuanlin@cucd.cn; xuchao@bucea.edu.cn; hejunchao@cucd.cn;
   chizhongwen@cucd.cn; baiweilan@cucd.cn; liurui@cucd.cn
RI wang, juanjuan/GYV-5540-2022
FU Qinghai Province Science and Technology Achievement Transformation
   Special Project
FX No Statement Available
CR Abbas A, 2023, J ARID LAND, V15, P274, DOI 10.1007/s40333-023-0050-3
   Abubakar IR, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104105
   Andrade C, 2021, INDIAN J PSYCHOL MED, V43, P555, DOI 10.1177/02537176211046525
   [Anonymous], 2011, Qinghai Province Bureau of Quality and Technology Supervision. Local Standards of Qinghai Province: Meteorological Disasters Standards
   Bai D., 2022, Yangtze River, V53, P59
   Bin LL, 2023, ENVIRON SCI POLLUT R, V30, P86463, DOI 10.1007/s11356-023-28578-7
   Bosher L, 2009, DISASTER PREV MANAG, V18, P9, DOI 10.1108/09653560910938501
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Bruwier M, 2020, J HYDROL, V582, DOI 10.1016/j.jhydrol.2019.124493
   Chen XS, 2023, ENVIRON SCI POLLUT R, V30, P65455, DOI 10.1007/s11356-023-26861-1
   Chen XB, 2022, KSCE J CIV ENG, V26, P4178, DOI 10.1007/s12205-022-2257-9
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   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
   Duy PN, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000419
   Eccles R, 2021, ADV WATER RESOUR, V147, DOI 10.1016/j.advwatres.2020.103825
   Fan YP, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106659
   Farley KA, 2005, GLOBAL CHANGE BIOL, V11, P1565, DOI 10.1111/j.1365-2486.2005.01011.x
   Forcellini D, 2023, STRUCTURES, V56, DOI 10.1016/j.istruc.2023.105015
   Frigerio I, 2016, APPL GEOGR, V74, P12, DOI 10.1016/j.apgeog.2016.06.014
   Ghaderpour E, 2021, J HYDROL-REG STUD, V36, DOI 10.1016/j.ejrh.2021.100847
   Guo J, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17249292
   Han Z, 2017, WATER-SUI, V9, DOI 10.3390/w9080588
   Han Z, 2016, ENERGIES, V9, DOI 10.3390/en9040303
   Hemmati M, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001382
   Hoque MA, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19061302
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kourehpaz P, 2022, J STRUCT ENG, V148, DOI 10.1061/(ASCE)ST.1943-541X.0003421
   Kreibich H, 2017, EARTHS FUTURE, V5, P953, DOI 10.1002/2017EF000606
   [李万志 Li Wanzhi], 2019, [冰川冻土, Journal of Glaciology and Geocryology], V41, P680
   Li W, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104631
   Li ZM, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101140
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Lin YZ, 2022, ENVIRON SCI POLLUT R, V29, P39807, DOI 10.1007/s11356-021-18235-2
   Liu YH, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13101649
   McCarthy JF, 2014, GLOBAL ENVIRON CHANG, V27, P144, DOI 10.1016/j.gloenvcha.2014.05.004
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Miller F, 2010, ECOL SOC, V15
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mu Y, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16010014
   Namdeo A, 2011, ENVIRON INT, V37, P829, DOI 10.1016/j.envint.2011.02.002
   O'Donnell EC, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0216
   Ouyang ZY, 2020, P NATL ACAD SCI USA, V117, P14593, DOI 10.1073/pnas.1911439117
   Pathak Shefali Dubey, 2021, Environmental Engineering and Management Journal, V20, P1263
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Shepard DP, 2012, INT J CRIT INFR PROT, V5, P146, DOI 10.1016/j.ijcip.2012.09.003
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Song GB, 2010, PROCEDIA ENVIRON SCI, V2, P465, DOI 10.1016/j.proenv.2010.10.051
   Song J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.06.012
   Song JL, 2017, WATER-SUI, V9, DOI 10.3390/w9080619
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Tate E, 2016, NAT HAZARDS, V80, P2055, DOI 10.1007/s11069-015-2060-8
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Tempa K, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0270467
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Ullah W, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1228817
   Ullah W, 2021, ATMOS RES, V253, DOI 10.1016/j.atmosres.2021.105489
   Witten K, 2003, URBAN STUD, V40, P161, DOI 10.1080/00420980220080221
   Wood NJ, 2010, NAT HAZARDS, V52, P369, DOI 10.1007/s11069-009-9376-1
   Yang HW, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.801075
   Yang WC, 2018, J ENVIRON MANAGE, V213, P440, DOI 10.1016/j.jenvman.2018.02.085
   Yazdani M, 2023, PROG DISASTER SCI, V20, DOI 10.1016/j.pdisas.2023.100300
   Yazdani M, 2023, KNOWL-BASED SYST, V274, DOI 10.1016/j.knosys.2023.110629
   Yazdani M, 2022, SAFETY SCI, V155, DOI 10.1016/j.ssci.2022.105867
   Yazdani M, 2022, PROG DISASTER SCI, V13, DOI 10.1016/j.pdisas.2022.100218
   Ye S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141710515
   Yin DK, 2023, WATER RES, V242, DOI 10.1016/j.watres.2023.120315
   Zhang H, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14092010
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang JX, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118770
   Zhang JX, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11050285
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhao Q., 2021, Res. Sq, DOI [10.21203/rs.3.rs-307514/v1, DOI 10.21203/RS.3.RS-307514/V1]
   Zhu SY, 2024, INT J DISAST RISK RE, V101, DOI 10.1016/j.ijdrr.2024.104243
NR 76
TC 1
Z9 1
U1 24
U2 37
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD MAY
PY 2024
VL 14
IS 5
AR 1274
DI 10.3390/buildings14051274
PG 19
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA SK3F4
UT WOS:001234300800001
OA gold
DA 2025-04-22
ER

PT J
AU Wang, LY
   Li, RY
   Dong, X
AF Wang, Luyao
   Li, Ruyi
   Dong, Xin
TI Integrated modeling of urban mobility, flood inundation, and sewer
   hydrodynamics processes to support resilience assessment of urban
   drainage systems
SO WATER SCIENCE AND TECHNOLOGY
LA English
DT Article
DE flood; integrated model; resilience; urban drainage system; urban
   mobility
AB With the increasing frequency of extreme weather events and a deepening understanding of disasters, resilience has received widespread attention in urban drainage systems. The studies on the resilience assessment of urban drainage systems are mostly indirect assessments that did not simulate human behavior affected by rainfall or semi-quantitative assessments that did not build simulation models, but few research characterizes the processes between people and infrastructure to assess resilience directly. Our study developed a dynamic model that integrates urban mobility, flood inundation, and sewer hydrodynamics processes. The model can simulate the impact of rainfall on people's mobility behavior and the full process including runoff generation, runoff entering pipes, node overflow, flood migration, urban mobility, and residential water usage. Then, we assessed the resilience of the urban drainage system under rainfall events from the perspectives of property loss and urban mobility. The study found that the average percentage increase in commuting time under different return periods of rainfall ranged from 6.4 to 203.9%. Calculating the annual expectation of property loss and traffic obstruction, the study found that the annual expectation loss in urban mobility is 9.1% of the annual expectation of property loss if the rainfall is near the morning commuting peak.
C1 [Wang, Luyao; Li, Ruyi; Dong, Xin] Tsinghua Univ, Sch Environm, Beijing, Peoples R China.
   [Dong, Xin] 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, 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 LI, RUYI/KEH-5569-2024
OI , JuliaTracy/0000-0001-5611-4531
CR Adams JB, 2020, AFR J AQUAT SCI, V45, P23, DOI 10.2989/16085914.2019.1677212
   Behboudian M, 2021, SCI TOTAL ENVIRON, V786, DOI 10.1016/j.scitotenv.2021.147447
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Carisi F, 2018, NAT HAZARD EARTH SYS, V18, P2057, DOI 10.5194/nhess-18-2057-2018
   Casal-Campos A, 2018, ENVIRON SCI TECHNOL, V52, P9008, DOI 10.1021/acs.est.8b01193
   Cashman AC, 2011, J FLOOD RISK MANAG, V4, P33, DOI 10.1111/j.1753-318X.2010.01087.x
   Dong BL, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154098
   Du WW, 2010, PREHOSP DISASTER MED, V25, P265, DOI 10.1017/S1049023X00008141
   Fan C, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00051-3
   Feng P., 2001, J. Hydraul. Eng., V8, P64
   Figueiredo R, 2018, NAT HAZARD EARTH SYS, V18, P1297, DOI 10.5194/nhess-18-1297-2018
   Fowler HJ, 2021, PHILOS T R SOC A, V379, DOI 10.1098/rsta.2019.0541
   Gerges F., 2022, SUSTAINABLE HORIZONS, V3
   Guidolin M, 2016, ENVIRON MODELL SOFTW, V84, P378, DOI 10.1016/j.envsoft.2016.07.008
   Guptha GC, 2021, REMOTE SENS APPL, V23, DOI 10.1016/j.rsase.2021.100601
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hu H., 2021, Robust Decision Making in Mitigating Pluvial Flood Risk Under Climate Change Scenarios: A Case Study of Shanghai
   Jiang S, 2016, P NATL ACAD SCI USA, V113, pE5370, DOI 10.1073/pnas.1524261113
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Lee EH, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000775, 10.1061/(asce)wr.1943-5452.0000775]
   Li H., 2022, Water Purif. Technol., V41, P133
   Liu HX, 2018, NAT HAZARDS, V94, P1, DOI 10.1007/s11069-018-3349-1
   McClymont K., 2020, J. Environ
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mohammadiun S, 2020, HYDROLOG SCI J, V65, P281, DOI 10.1080/02626667.2019.1690657
   Polonenko LM, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.135159
   Ren X., 2022, Water Purif. Technol., V41, P134
   Rong C, 2023, IEEE T KNOWL DATA EN, V35, P603, DOI 10.1109/TKDE.2021.3075928
   Bich TH, 2011, GLOBAL HEALTH ACTION, V4, DOI 10.3402/gha.v4i0.6356
   Xing ZY, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104467
   Yabe T, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2111997119
NR 31
TC 1
Z9 1
U1 13
U2 26
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 JUL 1
PY 2024
VL 90
IS 1
BP 124
EP 141
DI 10.2166/wst.2024.212
PG 18
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA YG8R8
UT WOS:001267432800024
PM 39007310
DA 2025-04-22
ER

PT J
AU Fu, QC
   Zheng, ZH
   Sarker, MNI
   Lv, Y
AF Fu, Qingchen
   Zheng, Zhouhua
   Sarker, Md Nazirul Islam
   Lv, Yang
TI Combating urban heat: Systematic review of urban resilience and
   adaptation strategies
SO HELIYON
LA English
DT Review
DE Climate adaptation; Heatwave mitigation; Land use; Policy innovation;
   Urban vulnerability; Community resilience
ID CLIMATE-CHANGE; CITIES; VULNERABILITY; PRINCIPLES
AB Urban areas are currently facing the increasingly pressing issue of urban heat worldwide, which is being worsened by climate change and rising urbanization. As a result, there is a growing need for new approaches to enhance urban resilience and adapt to these challenges. The escalating occurrence and severity of urban heat events provide notable hazards, particularly to susceptible groups, necessitating proactive efforts to alleviate detrimental consequences. Therefore, this research addresses the inquiry, "What strategic approaches can be effectively employed to mitigate vulnerability and strengthen urban resilience in response to urban heat?" Thus, this study ascertains and examines approaches to enhance urban resilience, mitigate susceptibility, and implement adaptation strategies to combat urban heat. Utilizing the content analysis method, a comprehensive assortment of documents encompassing academic publications, policy documents, and reports was subjected to a systematic analysis employing the MAXQDA software. Databases searched included Web of Science, Scopus, and Google Scholar, and a total of 72 studies were included in the final analysis. The research reveals a wide range of novel ideas and practical measures that can be implemented to improve urban resilience and mitigate vulnerability to urban heat. Urban greening strategies, heatwave early warning sys-tems, and community involvement projects have exhibited differing effectiveness, application, and adaptation levels in many urban landscapes and socio-economic circumstances. Additionally, this research emphasizes the value of using multidimensional, context-specific strategies to address the unique challenges and needs of diverse urban regions and marginalized communities. Furthermore, structural changes, legislative reforms, and community-based solutions may be necessary to manage complex issues posed by urban heat. Therefore, effectively implementing adaptation strategies is vital to effectively combating challenges caused by urban heat in urban areas.
C1 [Fu, Qingchen; Zheng, Zhouhua] Guizhou Univ Commerce, Sch Management, Guiyang, Peoples R China.
   [Sarker, Md Nazirul Islam] Int Univ Business Agr & Technol, Miyan Res Inst, Dhaka 1230, Bangladesh.
   [Lv, Yang] Chengdu Univ, Coll Teachers, Chengdu 610106, Peoples R China.
C3 Guizhou University of Commerce; International University of Business
   Agriculture & Technology (IUBAT); Chengdu University
RP Sarker, MNI (corresponding author), Int Univ Business Agr & Technol, Miyan Res Inst, Dhaka 1230, Bangladesh.
EM qcchenfu@163.com; gbmtning@icloud.com; sarker.usm@yahoo.com;
   lvyang@cdu.edu.cn
RI Sarker, Md Nazirul Islam/K-7928-2018
OI Sarker, Md Nazirul Islam/0000-0002-8887-521X; Fu,
   Qingchen/0009-0004-0435-5041
FU National Education Science Program for Youth Project, under the National
   Social Science Fund, China
FX This study is funded by the National Education Science Program for Youth
   Project, under the National Social Science Fund, China
CR Abuwaer N., 2023, Sustainable Cities in a Changing Climate, P185, DOI [10.1002/9781394201532.ch12, DOI 10.1002/9781394201532.CH12]
   Adams C, 2024, URBAN FOR URBAN GREE, V91, DOI 10.1016/j.ufug.2023.128160
   Agboola OP, 2023, J CLEAN PROD, V428, DOI 10.1016/j.jclepro.2023.139304
   Allarané N, 2023, URBAN SCI, V7, DOI 10.3390/urbansci7030097
   [Anonymous], 2019, World Population Prospects
   Appau PK, 2024, CITIES, V145, DOI 10.1016/j.cities.2023.104723
   Asibey MO, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103950
   Asif F, 2023, FRONT SUSTAIN CITIES, V4, DOI 10.3389/frsc.2022.972173
   Aylett A., 2014, Progress and Challenges in the Urban Governance of Climate Change Results of a Global Survey
   Barrico L, 2019, RESILIENT CIT, P75, DOI 10.1007/978-3-319-76944-8_6
   Boateng EA, 2023, J ENVIRON MANAGE, V332, DOI 10.1016/j.jenvman.2023.117433
   Bosomworth K., 2013, Responding to the urban heat island: a policy and institutional analysis, P1
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chen JQ, 2024, LAND-BASEL, V13, DOI 10.3390/land13020156
   Chen P, 2024, URBAN CLIM, V53, DOI 10.1016/j.uclim.2024.101820
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   D'Ambrosio V, 2018, TECHNE, V15, P246, DOI 10.13128/Techne-22097
   Dai DH, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104510
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   De Fino M, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104847
   Deilami K., 2022, Resilience and adaptation strategies for urban heat at regional, city and local scales, DOI [10.1007/978-3-030-72196-18, DOI 10.1007/978-3-030-72196-18]
   Diem PK, 2024, REMOTE SENS APPL, V33, DOI 10.1016/j.rsase.2023.101081
   Dovie DBK, 2023, HABITAT INT, V138, DOI 10.1016/j.habitatint.2023.102868
   Eakin H, 2022, WORLD DEV, V159, DOI 10.1016/j.worlddev.2022.106056
   Eldesoky AH, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103971
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fastenrath S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030693
   Ferhati Koudoua, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20053804
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gaglione F, 2021, TEMA, V14, P279, DOI 10.6092/1970-9870/8054
   Gamal A, 2023, FRONT ARCHIT RES, V12, P1260, DOI 10.1016/j.foar.2023.09.003
   García-Blanco G, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13051317
   Gultekin Y., 2021, IOP Conf. Ser. Mater. Sci. Eng., V1203, DOI [10.1088/1757-899x/1203/2/022020, DOI 10.1088/1757-899X/1203/2/022020]
   Hao HY, 2022, LANDSCAPE URBAN PLAN, V220, DOI 10.1016/j.landurbplan.2022.104352
   Hatvani-Kovacs G, 2018, URBAN CLIM, V25, P51, DOI 10.1016/j.uclim.2018.05.001
   He BJ, 2023, ENERG BUILDINGS, V287, DOI 10.1016/j.enbuild.2023.112976
   Heinzlef C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102762
   Hernández JRE, 2023, J CLEAN PROD, V432, DOI 10.1016/j.jclepro.2023.139735
   Huang XZ, 2023, BUILD ENVIRON, V242, DOI 10.1016/j.buildenv.2023.110586
   Irfeey AMM, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151410767
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Kang SW, 2024, ENVIRON SUSTAIN IND, V22, DOI 10.1016/j.indic.2024.100337
   Keith L., 2022, Planning for Urban Heat Resilience, P1
   Khorat S, 2024, ENERG BUILDINGS, V302, DOI 10.1016/j.enbuild.2023.113751
   King M., 2017, Urban Heat: Developing the role of community groups in local climate resilience, P1
   Kjellstrom T, 2013, GLOBAL HEALTH ACTION, V6, P1, DOI 10.3402/gha.v6i0.20816
   Koutra S, 2022, CURR RES ENVIRON SUS, V4, DOI 10.1016/j.crsust.2021.100118
   Krishnan S, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104464
   Kullberg A.T., 2023, Front. Young Minds, V11, DOI [10.3389/frym.2023.943515, DOI 10.3389/FRYM.2023.943515]
   Kutty AA, 2022, J CLEAN PROD, V378, DOI 10.1016/j.jclepro.2022.134203
   Kyprianou I, 2023, BUILD ENVIRON, V238, DOI 10.1016/j.buildenv.2023.110226
   Ladan T. A., 2023, International Journal of Academic Research in Business and Social Sciences, V13, P180, DOI [10.6007/IJARBSS/V13-I6/17392, DOI 10.6007/IJARBSS/V13-I12/20172]
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Leone A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142416870
   Li R, 2023, HYDROL EARTH SYST SC, V27, P4437, DOI 10.5194/hess-27-4437-2023
   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]
   Liu LN, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107186
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Liu XJ, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101269
   Lucertini G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13115999
   Luo J, 2024, IEEE ACCESS, V12, P14690, DOI 10.1109/ACCESS.2024.3351468
   Mabrouk M, 2023, INT J DISAST RISK RE, V91, DOI 10.1016/j.ijdrr.2023.103684
   Makvandi M, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14040638
   Malik I, 2021, J. Gov. Civil Soc., V5, P31, DOI [10.31000/jgcs.v5i1.3884, DOI 10.31000/JGCS.V5I1.3884]
   Masik G, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103381
   Mehryar S, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101047
   Moench M, 2017, CLIM DEV, V9, P22, DOI 10.1080/17565529.2015.1067592
   Muse N, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac78f9
   ODonnell EC., 2021, Journal of the British Academy, V9, P143, DOI [10.5871/jba/009s7.143, DOI 10.5871/JBA/009-9.143]
   Barona CO, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.882510
   Page MJ, 2021, REV ESP CARDIOL, V74, P790, DOI [10.1016/j.rec.2021.07.010, 10.1016/j.recesp.2021.06.016]
   Pamukcu-Albers P., 2023, Adapting the Built Environment For Climate Change, P53, DOI [10.1016/B978-0-323-95336-8.00018-4, DOI 10.1016/B978-0-323-95336-8.00018-4]
   Pamukcu-Albers P, 2021, LANDSCAPE ECOL, V36, P665, DOI 10.1007/s10980-021-01212-y
   Pappalardo SE, 2023, LANDSCAPE URBAN PLAN, V238, DOI 10.1016/j.landurbplan.2023.104831
   Parker J, 2020, LAND-BASEL, V9, DOI 10.3390/land9080252
   Parker J, 2018, LAND-BASEL, V7, DOI 10.3390/land7040161
   Prashar N, 2023, PROG DISASTER SCI, V20, DOI 10.1016/j.pdisas.2023.100299
   Rathi SK, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010283
   Ren JL, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13061368
   Rezvani SMHS, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13092163
   Rezvani SM, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13042223
   Rohat G, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02990-9
   Roland HB, 2024, ENVIRON SCI POLICY, V152, DOI 10.1016/j.envsci.2023.103643
   Roy S, 2012, URBAN FOR URBAN GREE, V11, P351, DOI 10.1016/j.ufug.2012.06.006
   Sarker MNI, 2023, SUSTAIN SCI, V18, P2107, DOI 10.1007/s11625-023-01379-0
   Shaker RR, 2019, URBAN SCI, V3, DOI 10.3390/urbansci3020044
   Shang M, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042101
   Sharifi A, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104910
   Sharifi E, 2017, LECT NOTES GEOINF CA, P433, DOI 10.1007/978-3-319-57819-4_24
   Sharma SE, 2023, GEOFORUM, V145, DOI 10.1016/j.geoforum.2023.103817
   Shi YF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15129250
   Shirgir E, 2019, J CLIM CHANG, V5, P61, DOI 10.3233/JCC190007
   Sidiqui P, 2022, J EARTH SYST SCI, V131, DOI 10.1007/s12040-022-02005-w
   Snep RPH, 2023, ENVIRON SCI POLICY, V145, P164, DOI 10.1016/j.envsci.2023.02.022
   Stone B, 2010, ENVIRON HEALTH PERSP, V118, P1425, DOI 10.1289/ehp.0901879
   Suárez M, 2024, LANDSCAPE URBAN PLAN, V241, DOI 10.1016/j.landurbplan.2023.104923
   Techer M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15031820
   Thai H.A.C., 2018, ADV ASIAN HUMAN ENV, P1, DOI [10.1007/978-3-319-71171-31, DOI 10.1007/978-3-319-71171-31]
   Therrien MC, 2020, RISK HAZARDS CRISIS, V11, P320, DOI 10.1002/rhc3.12192
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   Tu S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15020934
   Varnakovida P, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101712
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wang HH, 2024, ENVIRON IMPACT ASSES, V105, DOI 10.1016/j.eiar.2024.107422
   Wang HH, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107333
   Wang L, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104048
   Wardekker A, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103258
   Wei J, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107106
   WHO, 2024, Heatwaves, World Heal. Organ, P1
   Williams DS, 2022, ENVIRON SCI POLICY, V136, P476, DOI 10.1016/j.envsci.2022.07.014
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Wu CW, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.989963
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhu W, 2023, CITIES, V132, DOI 10.1016/j.cities.2022.104103
NR 119
TC 1
Z9 1
U1 23
U2 25
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD SEP 15
PY 2024
VL 10
IS 17
AR e37001
DI 10.1016/j.heliyon.2024.e37001
EA AUG 2024
PG 20
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA F7J6R
UT WOS:001311542300001
PM 39281560
OA Green Published
DA 2025-04-22
ER

PT J
AU Wu, P
   Liu, JP
   Zhou, LG
   Chen, HY
AF Wu, Peng
   Liu, Jinpei
   Zhou, Ligang
   Chen, Huayou
TI An Integrated Group Decision-Making Method with Hesitant Qualitative
   Information Based on DEA Cross-Efficiency and Priority Aggregation for
   Evaluating Factors Affecting a Resilient City
SO GROUP DECISION AND NEGOTIATION
LA English
DT Article
DE Group decision-making; Hesitant fuzzy linguistic information; DEA
   cross-efficiency; Distance-based priority aggregation; Resilient city
ID LINGUISTIC PREFERENCE RELATIONS; CONSISTENCY MEASURES; REPRESENTATION
   MODEL; TERM SETS; FUZZY; SELECTION
AB A city is a carrier of the development of human society; the higher the resilience of a city is, the better it can resist invasion from the outside. Therefore, the evaluation factors affecting resilient cities are of great practical significance in the study of resilient cities. The assessment method with hesitant fuzzy linguistic preference relation (HFLPR) has recently widely used in evaluation problems. However, some existing priority vector solving methods in the assessment method often ignore much decision-making information. Therefore, the aim of this paper is to present a new priority vector solving method for HFLPR by integrating data envelopment analysis (DEA) cross-efficiency and a distance-based priority aggregation (DPA) model. The innovation of this method contains: (1) DEA model is introduced to solve the priority vector of linguistic preference relation (LPR); (2) a DPA model is constructed to obtain the HFLPR's priority vector, which can avoid the loss of decision-making information. For completely additive consistent LPR and incompletely additive consistent LPR, an output-oriented DEA model and DEA cross-efficiency model are introduced to derive its priority vector, respectively. An HFLPR is viewed as being composed of many LPRs, a DPA model is constructed based on the L2 norm to find the priority vector of HFLPR that minimizes the distance among the LPRs' priority vectors. Based on the above, an integrated group decision-making method is proposed and then applied to an illustrative example of the evaluation factors affecting resilient cities to show its performance and advantages by comparing with the existing methods.
C1 [Wu, Peng; Liu, Jinpei] Anhui Univ, Sch Business, Hefei 230601, Anhui, Peoples R China.
   [Zhou, Ligang; Chen, Huayou] Anhui Univ, Sch Math Sci, Hefei 230601, Anhui, Peoples R China.
C3 Anhui University; Anhui University
RP Zhou, LG (corresponding author), Anhui Univ, Sch Math Sci, Hefei 230601, Anhui, Peoples R China.
EM pengwu@ahu.edu.cn; liujinpei2012@163.com; shuiqiaozlg@126.com;
   huayouc@126.com
RI Chen, Huayou/JAO-4133-2023; wu, peng/MGA-4068-2025
OI Chen, Huayou/0000-0002-7312-0367
FU Anhui Provincial Philosophy and Social Science Program [AHSKQ2020D10]
FX The work was supported by Anhui Provincial Philosophy and Social Science
   Program (AHSKQ2020D10).
CR Alonso S, 2008, INT J INTELL SYST, V23, P155, DOI 10.1002/int.20262
   Borwein J., 2001, CONVEX ANAL NONLINEA
   Chang WJ, 2021, GROUP DECIS NEGOT, V30, P1285, DOI 10.1007/s10726-020-09677-z
   CHARNES A, 1978, EUR J OPER RES, V2, P429, DOI 10.1016/0377-2217(78)90138-8
   [陈长坤 Chen Changkun], 2018, [中国安全科学学报, China Safety Science Journal（CSSJ）], V28, P1
   Dong JY, 2018, APPL SOFT COMPUT, V69, P316, DOI 10.1016/j.asoc.2018.04.053
   Dong YC, 2008, EUR J OPER RES, V189, P430, DOI 10.1016/j.ejor.2007.06.013
   Dong YC, 2015, INFORM SCIENCES, V292, P27, DOI 10.1016/j.ins.2014.08.059
   Feng XQ, 2018, APPL SOFT COMPUT, V65, P79, DOI 10.1016/j.asoc.2017.12.050
   Forman E, 1998, EUR J OPER RES, V108, P165, DOI 10.1016/S0377-2217(97)00244-0
   Gou XJ, 2017, INFORM SCIENCES, V388, P225, DOI 10.1016/j.ins.2017.01.033
   Herrera F, 2000, IEEE T FUZZY SYST, V8, P746, DOI 10.1109/91.890332
   Herrera F, 2001, IEEE T SYST MAN CY B, V31, P227, DOI 10.1109/3477.915345
   Herrera F, 2008, IEEE T FUZZY SYST, V16, P354, DOI 10.1109/TFUZZ.2007.896353
   Herrera-Viedma E, 2002, IEEE T SYST MAN CY A, V32, P394, DOI 10.1109/TSMCA.2002.802821
   Herrera-Viedma E, 2007, IEEE T SYST MAN CY B, V37, P176, DOI 10.1109/TSMCB.2006.875872
   Li CC, 2018, INFORM SCIENCES, V432, P347, DOI 10.1016/j.ins.2017.12.018
   Li CC, 2017, INFORM FUSION, V33, P29, DOI 10.1016/j.inffus.2016.04.005
   Liang CM, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106810
   Liang L, 2008, OPER RES, V56, P1278, DOI 10.1287/opre.1070.0487
   Ma J, 2006, FUZZY SET SYST, V157, P20, DOI 10.1016/j.fss.2005.05.046
   Morais DC, 2012, OMEGA-INT J MANAGE S, V40, P42, DOI 10.1016/j.omega.2011.03.005
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Rodríguez RM, 2016, INT J COMPUT INT SYS, V9, P81, DOI 10.1080/18756891.2016.1180821
   Rodríguez RM, 2013, INFORM SCIENCES, V241, P28, DOI 10.1016/j.ins.2013.04.006
   Rodríguez RM, 2012, IEEE T FUZZY SYST, V20, P109, DOI 10.1109/TFUZZ.2011.2170076
   Saaty TL, 1980, ANAL HIERARCHY PROCE, DOI DOI 10.1201/9780429504419-2
   Song JL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190701
   TANINO T, 1984, FUZZY SET SYST, V12, P117, DOI 10.1016/0165-0114(84)90032-0
   Torra V, 2010, INT J INTELL SYST, V25, P529, DOI 10.1002/int.20418
   Wang JH, 2006, IEEE T FUZZY SYST, V14, P435, DOI 10.1109/TFUZZ.2006.876337
   Wang JQ, 2014, INFORM SCIENCES, V280, P338, DOI 10.1016/j.ins.2014.05.012
   Wang J, 2016, COMPUT IND ENG, V99, P287, DOI 10.1016/j.cie.2016.07.023
   Wang MM, 2017, J ENVIRON MANAGE, V201, P145, DOI 10.1016/j.jenvman.2017.06.034
   Wang YM, 2007, EUR J OPER RES, V182, P356, DOI 10.1016/j.ejor.2006.07.020
   Wang ZJ, 2019, INFORM SCIENCES, V482, P105, DOI 10.1016/j.ins.2019.01.007
   Wu DSD, 2009, EUR J OPER RES, V194, P227, DOI 10.1016/j.ejor.2007.10.009
   Wu P, 2020, INFORM FUSION, V61, P1, DOI 10.1016/j.inffus.2020.03.002
   Wu P, 2019, COMPUT IND ENG, V137, DOI 10.1016/j.cie.2019.106001
   Wu P, 2020, APPL INTELL, V50, P222, DOI 10.1007/s10489-019-01502-8
   Wu P, 2019, IEEE T FUZZY SYST, V27, P716, DOI 10.1109/TFUZZ.2018.2868492
   Wu ZB, 2016, OMEGA-INT J MANAGE S, V65, P28, DOI 10.1016/j.omega.2015.12.005
   Wu ZB, 2016, IEEE T CYBERNETICS, V46, P694, DOI 10.1109/TCYB.2015.2413894
   Xu JP, 2014, GROUP DECIS NEGOT, V23, P127, DOI 10.1007/s10726-012-9310-x
   Xue M, 2021, GROUP DECIS NEGOT, V30, P341, DOI 10.1007/s10726-020-09660-8
   ZADEH LA, 1975, INFORM SCIENCES, V8, P199, DOI 10.1016/0020-0255(75)90046-8
   Zhang BW, 2019, GROUP DECIS NEGOT, V28, P585, DOI 10.1007/s10726-018-09609-y
   Zhang HJ, 2021, IEEE T FUZZY SYST, V29, P627, DOI 10.1109/TFUZZ.2019.2957259
   Zhang HJ, 2020, IISE TRANS, V52, P1275, DOI 10.1080/24725854.2020.1731774
   Zhang M.D., 2018, Urban Probl, V10, P27, DOI [10.13239/j.bjsshkxy.cswt.181004, DOI 10.13239/J.BJSSHKXY.CSWT.181004]
   Zhang YX, 2016, APPL SOFT COMPUT, V49, P817, DOI 10.1016/j.asoc.2016.08.045
   Zhang ZM, 2014, J INTELL FUZZY SYST, V26, P2185, DOI 10.3233/IFS-130893
   Zhou LG, 2013, GROUP DECIS NEGOT, V22, P739, DOI 10.1007/s10726-012-9289-3
   Zhu B, 2014, IEEE T FUZZY SYST, V22, P35, DOI 10.1109/TFUZZ.2013.2245136
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 55
TC 2
Z9 3
U1 5
U2 47
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0926-2644
EI 1572-9907
J9 GROUP DECIS NEGOT
JI Group Decis. Negot.
PD APR
PY 2022
VL 31
IS 2
BP 293
EP 316
DI 10.1007/s10726-021-09768-5
EA NOV 2021
PG 24
WC Management; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Business & Economics; Social Sciences - Other Topics
GA ZV6HV
UT WOS:000722972700001
DA 2025-04-22
ER

PT J
AU Zhang, SF
   Xu, YL
   Wu, H
   Wu, WT
   Lou, YH
AF Zhang, Shanfeng
   Xu, Yilin
   Wu, Hao
   Wu, Wenting
   Lou, Yuhao
TI Research on the Spatial Differentiation Pattern of High-Temperature
   Disaster Resilience and Strategies for Enhancing Resilience: A Case
   Study of Hangzhou, China
SO SUSTAINABILITY
LA English
DT Article
DE high-temperature disaster; resilience evaluation; PSR model;
   SOM-K-means; enhancement strategies
ID GREEN INFRASTRUCTURE; HEAT-STRESS; URBAN; MODEL; VULNERABILITY;
   FRAMEWORK; HEALTH; CITIES; ISLAND; WAVE
AB With the intensification of climate change and urbanization, the impact of high-temperature disasters on urban resilience has become increasingly significant. Based on the "Pressure-State-Response" (PSR) model, this study proposes a novel assessment method for urban high-temperature disaster resilience. Through 15 evaluation indicators across 3 categories, we quantified the high-temperature disaster resilience level in Hangzhou and constructed a SOM-K-means second-order clustering algorithm to classify the study area into different resilience zones, exploring the spatial differentiation characteristics of high-temperature disaster resilience. The research results indicate the following: (1) Hangzhou exhibits a relatively low level of high-temperature disaster resilience, with a spatial distribution pattern showing a radial decrease from the main city area at the center, followed by a slight increase in the far periphery of the main city area. (2) The study area was divided into four distinct high-temperature disaster resilience zones, demonstrating significant spatial differentiation characteristics. This study innovatively integrates the PSR model with the SOM-K-means clustering method, providing a new perspective for the quantitative assessment and spatial zoning of urban high-temperature disaster resilience. The findings offer valuable decision-making support for enhancing urban resilience.
C1 [Zhang, Shanfeng; Xu, Yilin; Wu, Wenting] Zhejiang Univ Technol, Sch Design & Architecture, Hangzhou 310023, Peoples R China.
   [Wu, Hao] Hangzhou Urban Planning & Design Inst, Hangzhou 310012, Peoples R China.
   [Lou, Yuhao] Hangzhou Zhituo Space Planning & Design Co Ltd, Hangzhou 310014, Peoples R China.
C3 Zhejiang University of Technology
RP Zhang, SF (corresponding author), Zhejiang Univ Technol, Sch Design & Architecture, Hangzhou 310023, Peoples R China.
EM zhangsf@zjut.edu.cn; xuyilin0614@163.com; wuhaohangzhou5@gmail.com;
   wuwenting@zjut.edu.cn; lyhaooo0405@163.com
RI zhang, shanfeng/IWE-4607-2023
FU National Natural Science Foundation of China; Ministry of Education
   Humanities and Social Sciences Research Planning Fund Project of China
   [24YJAZH177];  [32471930]
FX This research was funded by the National Natural Science Foundation of
   China, grant number 32471930, and the Ministry of Education Humanities
   and Social Sciences Research Planning Fund Project of China, grant
   number 24YJAZH177.
CR Abdel Jawwad I., 2023, Climate Change 2023: Synthesis Report
   [Anonymous], 2012, World Development Report: Gender Equality and Development
   [Anonymous], 1996, An Urbanizing World: Global Report on Human Settlements 1996
   ARTIS DA, 1982, REMOTE SENS ENVIRON, V12, P313, DOI 10.1016/0034-4257(82)90043-8
   Atrachali M, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101231
   Aubrecht C, 2013, ENVIRON INT, V56, P65, DOI 10.1016/j.envint.2013.03.005
   Ballester J, 2023, NAT MED, V29, P1857, DOI 10.1038/s41591-023-02419-z
   Brentan B, 2018, ENVIRON MODELL SOFTW, V106, P77, DOI 10.1016/j.envsoft.2018.02.013
   Cai WJ, 2021, LANCET PUBLIC HEALTH, V6, pE932, DOI 10.1016/S2468-2667(21)00209-7
   Campbell KA, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101257
   Campbell S, 2018, HEALTH PLACE, V53, P210, DOI 10.1016/j.healthplace.2018.08.017
   Cao J, 2021, LANDSCAPE URBAN PLAN, V206, DOI 10.1016/j.landurbplan.2020.103979
   Chen LF, 2021, COMPUT GEOSCI-UK, V156, DOI 10.1016/j.cageo.2021.104899
   [陈伟 Chen Wei], 2021, [测绘通报, Bulletin of Surveying and Mapping], P99
   Dong XY, 2024, SUSTAIN CITIES SOC, V114, DOI 10.1016/j.scs.2024.105767
   El-Zein A, 2015, ECOL INDIC, V48, P207, DOI 10.1016/j.ecolind.2014.08.012
   Fan YP, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106659
   Frausto O., 2016, Int. J. Saf. Secur. Eng, V6, P755, DOI [10.2495/SAFE-V6-N4-755-763, DOI 10.2495/SAFE-V6-N4-755-763]
   Fu QC, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e37001
   GBD 2019 Stroke Collaborators, 2021, Lancet Neurol, V20, P795, DOI [10.1016/S1474-4422(21)00252-0, DOI 10.1016/S1474-4422(21)00252-0]
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang HJ, 2023, ECOL INDIC, V153, DOI 10.1016/j.ecolind.2023.110449
   Huang XJ, 2024, URBAN CLIM, V55, DOI 10.1016/j.uclim.2024.101992
   [黄晓军 Huang Xiaojun], 2021, [地理研究, Geographical Research], V40, P1684
   Lawrimore MA, 2024, COMPUT ENVIRON URBAN, V112, DOI 10.1016/j.compenvurbsys.2024.102157
   Li KK, 2024, J URBAN PLAN DEV, V150, DOI 10.1061/JUPDDM.UPENG-4919
   Li MH, 2019, INT J GEOGR INF SCI, V33, P922, DOI 10.1080/13658816.2018.1564315
   Li W, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108127
   Li XJ, 2024, ENVIRON RES LETT, V19, DOI 10.1088/1748-9326/ad6c64
   Li Zhengzhao, 2022, Journal of Tsinghua University (Science and Technology), V62, P266, DOI 10.16511/j.cnki.qhdxxb.2021.22.037
   Liu HQ, 2024, CITIES, V155, DOI 10.1016/j.cities.2024.105414
   Ma L., 2007, Trop. Geogr, V27, P25
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   Pappalardo SE, 2023, LANDSCAPE URBAN PLAN, V238, DOI 10.1016/j.landurbplan.2023.104831
   Park K, 2024, URBAN CLIM, V58, DOI 10.1016/j.uclim.2024.102191
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Rapport DJ, 2006, ECOL INDIC, V6, P409, DOI 10.1016/j.ecolind.2005.05.003
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Saguansap P, 2024, CURR RES ENVIRON SUS, V8, DOI 10.1016/j.crsust.2024.100262
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Savic S, 2018, NAT HAZARDS, V91, P891, DOI 10.1007/s11069-017-3160-4
   Semenza JC, 1996, NEW ENGL J MED, V335, P84, DOI 10.1056/NEJM199607113350203
   Shan ZR, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010183
   Singh P, 2023, AGROFOREST SYST, V97, P509, DOI 10.1007/s10457-023-00806-6
   Song SQ, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110964
   Su YF, 2021, ECOL INDIC, V126, DOI 10.1016/j.ecolind.2021.107686
   Sützl BS, 2024, SUSTAIN CITIES SOC, V107, DOI 10.1016/j.scs.2024.105360
   Tu JB, 2022, MAR POLLUT BULL, V184, DOI 10.1016/j.marpolbul.2022.114123
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   United Nations Office for Disaster Risk Reduction, 2016, Report of the Open Ended Intergovernmental Working Group on Possible Measures to Improve the Treatment of Nominations to the Representative List by the Committee, Its Subsidiary Body and the Secretariat
   WMO, 2021, WMO report no.1267
   Wu HY, 2024, SUSTAIN CITIES SOC, V104, DOI 10.1016/j.scs.2024.105300
   Wu JJ, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106521
   Xia H, 2023, RESOUR CONSERV RECY, V189, DOI 10.1016/j.resconrec.2022.106767
   Xia SY, 2022, J GEOGR SCI, V32, P1911, DOI 10.1007/s11442-022-2029-y
   Yang X, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118318
   Ye H, 2011, ENRGY PROCED, V5, P2172, DOI 10.1016/j.egypro.2011.03.375
   Yuan DH, 2025, ENVIRON IMPACT ASSES, V111, DOI 10.1016/j.eiar.2024.107728
   Zeng P, 2021, WEATHER CLIM EXTREME, V31, DOI 10.1016/j.wace.2021.100304
   Zhang Y., 2023, HydroResearch, V6, P156, DOI [10.1016/j.hydres.2022.12.003, DOI 10.1016/J.HYDRES.2022.12.003]
   Zhang Y, 2023, INT J DISAST RISK RE, V97, DOI 10.1016/j.ijdrr.2023.104050
   Zheng DY, 2024, J CLEAN PROD, V474, DOI 10.1016/j.jclepro.2024.143605
NR 64
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 MAR 7
PY 2025
VL 17
IS 6
AR 2338
DI 10.3390/su17062338
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 0QY5P
UT WOS:001453913400001
OA gold
DA 2025-04-22
ER

PT J
AU Tozer, L
   Bulkeley, H
   Kiss, B
   Luque-Ayala, A
   Palgan, YV
   McCormick, K
   Wamsler, C
AF Tozer, Laura
   Bulkeley, Harriet
   Kiss, Bernadett
   Luque-Ayala, Andres
   Palgan, Yuliya Voytenko
   McCormick, Kes
   Wamsler, Christine
TI Nature for Resilience? The Politics of Governing Urban Nature
SO ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
LA English
DT Article
DE climate change; nature; resilience; urban; values
ID GREEN; ADAPTATION; GOVERNANCE; JUSTICE; POLICY
AB Transcending initial efforts to make cities "climate smart" by focusing on the potential of new technologies and infrastructural interventions, various actors are increasingly interested in deploying nature to help achieve urban resilience. In this context, rather than taking resilience as a given property of particular systems or entities, it is important to examine why, how, with what implications, and for whom resilience is being enacted. We examine how and why nature-based solutions are being mobilized as a means for governing the resilience of cities and what this means for the ways in which urban resilience is imagined and enacted by different actors. Recognizing that behind different approaches to resilience are diverse ways of valuing nature, we identify four value positions through which nature comes to be understood, given meaning, form, and purpose. Drawing on systematic document analysis and sixty-six interviews from Cape Town, Mexico City, and Melbourne, we discuss how these four value positions of nature are manifested in nature-based interventions for resilience, as well as the implications both for the politics of resilience interventions and the opportunities for enabling social benefit through nature-based solutions. We find that the integration of intrinsic values for nature opens opportunities for nature-based solutions to enable social benefits through an increased focus on the means through which they are implemented. We conclude that urban-nature-as-resilience interventions serve to embed values and the socionatures they produce within the city, creating fundamentally different consequences for the forms and politics of nature-based interventions designed to realize urban resilience.
C1 [Tozer, Laura] Univ Toronto Scarborough, Dept Phys & Environm Sci, Environm Studies, Toronto, ON M1C 1A4, Canada.
   [Bulkeley, Harriet; Luque-Ayala, Andres] Univ Durham, Dept Geog, Durham DH1 31E, England.
   [Bulkeley, Harriet] Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands.
   [Kiss, Bernadett; Palgan, Yuliya Voytenko; McCormick, Kes] Lund Univ, Int Inst Ind Environm Econ, SE-22100 Lund, Sweden.
   [Wamsler, Christine] Lund Univ, Ctr Sustainabil Studies, SE-22100 Lund, Sweden.
C3 University of Toronto; University Toronto Scarborough; Durham
   University; Utrecht University; Lund University; Lund University
RP Tozer, L (corresponding author), Univ Toronto Scarborough, Dept Phys & Environm Sci, Environm Studies, Toronto, ON M1C 1A4, Canada.
EM laura.tozer@utoronto.ca; h.a.bulkeley@durham.ac.uk;
   bernadett.Kiss@iiiee.lu.se; a.e.luque@durham.ac.uk;
   yuliya.voytenko_palgan@iiiee.lu.se; kes.mccormick@iiiee.lu.se;
   christine.wamsler@lucsus.lu.se
RI Bulkeley, Harriet/Y-3348-2019
OI Kiss, Bernadett/0000-0002-7187-5256; Tozer, Laura/0000-0002-5417-3885;
   McCormick, Kes/0000-0002-5093-160X; Voytenko Palgan,
   Yuliya/0000-0001-8342-085X; Bulkeley, Harriet/0000-0001-9912-5687
FU Horizon 2020 Framework Programme of the European Union [730243]
FX Research was funded by the Horizon 2020 Framework Programme of the
   European Union under Grant Agreement Number 730243.
CR Anguelovski I, 2020, ANN AM ASSOC GEOGR, V110, P1743, DOI 10.1080/24694452.2020.1740579
   Batavia C, 2017, BIOL CONSERV, V209, P366, DOI 10.1016/j.biocon.2017.03.003
   Bellamy C., 2012, Principles of methodology - research design in social science
   Berkowitz M., 2016, 1 100 CITIES
   Bernstein S, 2000, EUR J INT RELAT, V6, P464, DOI 10.1177/1354066100006004002
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   CDMX and 100 Resilient Cities, 2016, ESTR RES CDMX
   Chan KMA, 2016, P NATL ACAD SCI USA, V113, P1462, DOI 10.1073/pnas.1525002113
   City of Cape Town, 2016, LOC BIOD STRAT ACT P
   City of Cape Town, 2015, CAP TOWN LOC BIOD ST
   City of Cape Town, 2021, CIT INV R62M SEC WAT
   City of Melbourne, 2017, NAT CIT THRIV BIOD H
   Cousins JJ, 2021, ECOL ECON, V180, DOI 10.1016/j.ecolecon.2020.106874
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dryzek J.S., 1997, POLITICS EARTH
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Finewood MH, 2019, ANN AM ASSOC GEOGR, V109, P909, DOI 10.1080/24694452.2018.1507813
   Gavin MC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061846
   Hajer M.A., 1995, The Politics of Environmental Discourse: Ecological Modernization and the Policy Process
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kotsila P, 2021, ENVIRON PLAN E-NAT, V4, P252, DOI 10.1177/2514848620901437
   Leipold S, 2019, J ENVIRON POL PLAN, V21, P445, DOI 10.1080/1523908X.2019.1660462
   Mace GM, 2014, SCIENCE, V345, P1558, DOI 10.1126/science.1254704
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Manuel-Navarrete D, 2015, GLOBAL ENVIRON CHANG, V35, P558, DOI 10.1016/j.gloenvcha.2015.08.012
   Meerow S, 2021, URBAN AFF REV, V57, P70, DOI 10.1177/1078087420905655
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Nelson SH, 2022, PROG HUM GEOG, V46, P86, DOI 10.1177/0309132521993916
   Pascual U., 2022, SUMMARY POLICYMAKERS, DOI DOI 10.5281/ZENODO.6522392
   Pascual U, 2017, CURR OPIN ENV SUST, V26-27, P7, DOI 10.1016/j.cosust.2016.12.006
   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
   Resilient Melbourne, 2016, RES MELB STRAT
   Rogers P, 2020, POLIT GEOGR, V83, DOI 10.1016/j.polgeo.2020.102280
   Sanchez AX, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0074-z
   Schulz C, 2017, ECOL ECON, V131, P241, DOI 10.1016/j.ecolecon.2016.09.009
   Shen S., 2019, The Routledge Handbook of Urban Resilience, V1st, P117
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Smirnova V, 2021, GEOGR J, V187, P16, DOI 10.1111/geoj.12370
   Stevenson H, 2019, J ENVIRON POL PLAN, V21, P533, DOI 10.1080/1523908X.2015.1118681
   The Nature Conservancy, 2018, CAP TOWN FAC DAY ZER
   Tozer L, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102892
   Urban Forest Strategy, 2012, URB FOR STRAT CIT ME
   Usher M, 2018, INT J URBAN REGIONAL, V42, P315, DOI 10.1111/1468-2427.12524
   Wachsmuth D, 2018, ANN AM ASSOC GEOGR, V108, P1038, DOI 10.1080/24694452.2017.1417819
   Wakefield S, 2022, CULT GEOGR, V29, P389, DOI 10.1177/14744740211029278
   Wakefield S, 2020, ENVIRON PLAN E-NAT, V3, P761, DOI 10.1177/2514848619887461
   Wakefield S, 2020, POLIT GEOGR, V79, DOI 10.1016/j.polgeo.2020.102148
   Wakefield S, 2018, RESILIENCE-ABINGDON, V6, P77, DOI 10.1080/21693293.2017.1411445
   Wakefield S, 2014, ENVIRON PLANN D, V32, P4, DOI 10.1068/d3201int
   Walsh Z, 2021, AMBIO, V50, P74, DOI 10.1007/s13280-020-01322-y
   Wamsler C, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119154
   Wamsler C, 2020, CLIMATIC CHANGE, V158, P235, DOI 10.1007/s10584-019-02557-9
   Wamsler C, 2015, ECOL SOC, V20, DOI 10.5751/ES-07489-200230
   Webber S, 2020, ANN AM ASSOC GEOGR, V111, P343, DOI 10.1080/24694452.2020.1774349
   Whitehead M, 2013, URBAN STUD, V50, P1348, DOI 10.1177/0042098013480965
   Woroniecki S, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102132
   Woroniecki S, 2019, ECOL SOC, V24, DOI 10.5751/ES-10854-240204
   Woroniecki S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030772
   Zari MP, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100968
   Zebrowski C, 2016, VALUE RESILIENCE
NR 67
TC 7
Z9 7
U1 3
U2 30
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 MAR 16
PY 2023
VL 113
IS 3
BP 599
EP 615
DI 10.1080/24694452.2022.2130867
EA OCT 2022
PG 17
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 9M9WR
UT WOS:000878051200001
OA Green Accepted, Green Published
DA 2025-04-22
ER

PT J
AU Grafakos, S
   Gianoli, A
   Tsatsou, A
AF Grafakos, Stelios
   Gianoli, Alberto
   Tsatsou, Alexandra
TI Towards the Development of an Integrated Sustainability and Resilience
   Benefits Assessment Framework of Urban Green Growth Interventions
SO SUSTAINABILITY
LA English
DT Article
DE integrated framework; sustainability and resilience benefits assessment;
   urban interventions; green growth; SDGs
ID LOW-CARBON; CITIES; METHODOLOGY; METABOLISM; ENERGY
AB Considering the current emerging demographic, urbanization and climatic trends, integrating sustainability and resilience principles into urban development becomes a key priority for decision-makers worldwide. Local and national governments, project developers and other urban stakeholders dealing with the complexities of urban development need projects with clear structure and outcomes in order to inform decision-making and ensure sources of financing. The need for developing an integrated assessment methodology that would capture and quantify multiple urban sustainability and resilience benefits of projects in one common framework and eventually lead to verifiable sustainability and resilience outcomes is immense and challenging at the same time. The main objective of this paper is to present the development of a methodological approach that aims to integrate sustainability and resilience benefits, derived from the implementation of green growth urban projects, into a unified framework of criteria addressing environmental, social, economic and institutional perspectives. The proposed sustainability and resilience benefits assessment (SRBA) methodology is a combination of top down and bottom up approaches, including GIS-based scenario building. The different types of sustainability and resilience benefits of urban green growth projects are also identified at different levels (i.e., individual, neighborhood, city and global). Moreover, the proposed methodology creates scenarios that can be illustrated by a map-based approach to enable a better illustration and visualization of benefits. It demonstrates how a map-based approach can assess not only the extent of sustainability and resilience benefits accrued (how much is benefitted), but also their spatial distribution (who is benefitted). The main methodological challenges and issues on developing an integrated sustainability and resilience benefits assessment are identified and discussed.
C1 [Grafakos, Stelios; Gianoli, Alberto; Tsatsou, Alexandra] Erasmus Univ, Inst Housing & Urban Dev Studies IHS, NL-3062 PA Rotterdam, Netherlands.
C3 Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC
RP Grafakos, S (corresponding author), Erasmus Univ, Inst Housing & Urban Dev Studies IHS, NL-3062 PA Rotterdam, Netherlands.
EM grafakos@ihs.nl; gianoli@ihs.nl; tsatsou@ihs.nl
RI Tsatsou, Alexandra/GWZ-4801-2022
OI Grafakos, Stelios/0000-0002-6821-0667; Gianoli,
   Alberto/0000-0002-5224-3296; Tsatsou, Alexandra/0000-0001-6670-8421
FU World Bank Group [5830 0000.020]
FX The authors would like to acknowledge that this research and the
   development of the SRBA methodology was funded by the World Bank Group
   under Contract Number 5830 0000.020. In addition, the authors would like
   to thank the following experts for providing valuable comments and
   contributions at different levels of the development of the SRBA
   methodology: Monali Ranade and Sara Mill-Knap (The World Bank Group),
   Abhishek Banzal and Vikash Talyan (Gold Standard Foundation), Sonia
   Sandhu (Asian Development Bank), Somesh Sharma, Taslim Alade, Luca D'
   Acci, Joris Tieleman and Veronica Olivotto (Institute for Housing and
   Urban Development Studies). Furthermore, the authors would like to
   express their gratitude to Adriana Lopez from the Universidad del Valle
   (Colombia) for providing data and GIS maps on the urban forest project
   example in Cali, Colombia. The authors would like also to thank three
   anonymous reviewers who provided fruitful comments and feedback for the
   improvement of the manuscript.
CR Alberti M, 1996, ENVIRON IMPACT ASSES, V16, P381, DOI 10.1016/S0195-9255(96)00083-2
   [Anonymous], ASS MULT BEN CLEAN E
   [Anonymous], 2014, Delivering Global Environmental Benefits for Sustainable Development
   [Anonymous], INT WAST MAN SCOR TO
   [Anonymous], URB RES RES PROSP RE
   [Anonymous], ENERGY POL
   [Anonymous], 2011, Regional Development Working Papers 2011/08
   [Anonymous], CITIES FINITE PLANET
   [Anonymous], THESIS
   [Anonymous], CLIM COMM BIOD PROJ
   [Anonymous], OECD ENV IND 2005
   [Anonymous], BANGALORE OUTCOME DO
   [Anonymous], SPREAD NET MULT BEN
   [Anonymous], 2013, World Economic and Social Survey 2013"
   [Anonymous], THE CITIZENS AT RISK
   [Anonymous], UNEP YB 2011
   [Anonymous], SUSTAINABLE DEV IMPA
   [Anonymous], 2012, 26 ESDN
   [Anonymous], 2013, WORLD BANK ANN REPOR
   [Anonymous], P 30 INT C ED RES CO
   [Anonymous], 2012, WORLD BANK ANN REP 2
   [Anonymous], OECD ENV PERF REV
   [Anonymous], WELL MEAS DEV IND SU
   [Anonymous], ENV RAT SYST SUST IN
   [Anonymous], UN SUST DEV SOL
   [Anonymous], ENV URBAN
   Belton V., 2002, MULIPLE CRITERIA DEC
   Brand FS, 2007, ECOL SOC, V12
   Cash DW, 2006, ECOL SOC, V11
   Charoenkit S, 2014, RENEW SUST ENERG REV, V38, P509, DOI 10.1016/j.rser.2014.06.012
   Chelleri L, 2015, HABITAT INT, V48, P122, DOI 10.1016/j.habitatint.2015.03.016
   Clarvis MH, 2014, ENVIRON SCI POLICY, V43, P78, DOI 10.1016/j.envsci.2013.10.014
   D'Acci L, 2014, SOC INDIC RES, V115, P531, DOI 10.1007/s11205-012-0221-7
   Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003
   Drupp MA, 2011, ENERG POLICY, V39, P1213, DOI 10.1016/j.enpol.2010.11.049
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Fiksel J., 2012, A Framework for Sustainability Indicators at EPA
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Grafakos S, 2015, ENERGIES, V8, P11641, DOI 10.3390/en81011641
   Grafakos S, 2010, INT J ENERGY SECT MA, V4, P434, DOI 10.1108/17506221011073851
   Gross R, 2007, INVESTMENT ELECT GEN
   Hoornweg Daniel., 2013, BUILDING SUSTAINABIL
   Hunt DVL, 2016, TUNN UNDERGR SP TECH, V55, P8, DOI 10.1016/j.tust.2015.11.015
   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]
   Kijak R, 2004, J IND ECOL, V8, P33, DOI 10.1162/1088198042442306
   Komeily A, 2015, SUSTAIN CITIES SOC, V18, P32, DOI 10.1016/j.scs.2015.05.004
   Matthews EC, 2014, ENVIRON IMPACT ASSES, V49, P59, DOI 10.1016/j.eiar.2014.05.003
   Mori K, 2015, SUSTAINABILITY-BASEL, V7, P12402, DOI 10.3390/su70912402
   Morrison-Saunders A, 2014, ENVIRON IMPACT ASSES, V45, P38, DOI 10.1016/j.eiar.2013.12.001
   Newman P., 2008, CITIES SUSTAINABLE E
   Newman PWG, 1999, LANDSCAPE URBAN PLAN, V44, P219, DOI 10.1016/S0169-2046(99)00009-2
   Nguyen BK, 2011, PROCEDIA ENGINEER, V21, P376, DOI 10.1016/j.proeng.2011.11.2029
   Nussbaumer P, 2009, ENERG POLICY, V37, P91, DOI 10.1016/j.enpol.2008.07.033
   Olsen KH, 2008, ENERG POLICY, V36, P2819, DOI 10.1016/j.enpol.2008.02.039
   Pope J, 2004, ENVIRON IMPACT ASSES, V24, P595, DOI 10.1016/j.eiar.2004.03.001
   Ravetz J., 2000, ENVIRON IMPACT ASSES, V20, P31
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Reed R., 2009, Journal of Sustainable Real Estate, V1, P1, DOI DOI 10.1080/10835547.2009.12091787
   Reid W.V., 2005, Ecosystems and human well-being, DOI DOI 10.5822/978-1-61091-484-0_1
   Rotmans J., 2006, INTEGRATED ASSESSMEN, V6, P35
   Saunders WSA, 2015, INT J DISAST RISK RE, V14, P73, DOI 10.1016/j.ijdrr.2015.01.013
   Sembiring E, 2010, RESOUR CONSERV RECY, V54, P802, DOI 10.1016/j.resconrec.2009.12.010
   Sharifi A, 2013, ENVIRON IMPACT ASSES, V38, P73, DOI 10.1016/j.eiar.2012.06.006
   Shen LY, 2011, HABITAT INT, V35, P17, DOI 10.1016/j.habitatint.2010.03.006
   Sinclair AJ, 2008, ENVIRON IMPACT ASSES, V28, P415, DOI 10.1016/j.eiar.2007.11.001
   Singh RK, 2009, ECOL INDIC, V9, P189, DOI 10.1016/j.ecolind.2008.05.011
   Sutter C, 2007, CLIMATIC CHANGE, V84, P75, DOI 10.1007/s10584-007-9269-9
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   WOLMAN A, 1965, SCI AM, V213, P179
NR 69
TC 29
Z9 31
U1 7
U2 67
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2016
VL 8
IS 5
AR 461
DI 10.3390/su8050461
PG 33
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 DO7SR
UT WOS:000377983800055
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Xu, WP
   Yu, QM
   Proverbs, D
AF Xu, Wenping
   Yu, Qimeng
   Proverbs, David
TI Evaluation of Factors Found to Influence Urban Flood Resilience in China
SO WATER
LA English
DT Article
DE urban flood resilience; influencing factors; resilience assessment;
   ISM-ANP-TOPSIS model
ID ANALYTIC NETWORK PROCESS; CRITICAL SUCCESS FACTORS; FRAMEWORK; DISASTER;
   DEMATEL; INDEX
AB As one of the most frequently occurring natural hazards, flooding can seriously threaten global security and the sustainable development of our communities. Therefore, enhancing the resilience of cities and improving their ability to adapt to flooding have become issues of great significance. This study developed a new comprehensive evaluation model of flood resilience that includes an evaluation index system from the basis of four key dimensions of social resilience, economic resilience, ecological environment resilience and infrastructure resilience. Firstly, interpretative structural modelling (ISM) was applied to analyze the structural issues affecting urban flood resilience. Secondly, the analytic network process (ANP) was then used to calculate the importance of these indicators. Finally, taking three cities (Zhengzhou, Xi'an, and Jinan) in the Yellow River Basin of China as examples, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to evaluate their current levels of flood resilience using the findings from the earlier stages. The results show that the levels of rainfall and vulnerability of groups were the fundamental factors affecting urban flood resilience. Indicators such as average annual rainfall, fixed-asset investments, and emergency rescue capabilities were also found to have a greater impact on urban flood resilience. In the study area, Xi'an was found to have a higher level of resilience due to having strong ecological environmental resilience. These findings are expected to provide a useful reference for policymakers and stakeholders involved in the management of flooding events.
C1 [Xu, Wenping; Yu, Qimeng] Wuhan Univ Sci & Technol, Sch Management, Wuhan 430065, Peoples R China.
   [Xu, Wenping] Wuhan Huaxia Univ Technol, Informat Engn Coll, Wuhan 430223, Peoples R China.
   [Proverbs, David] Univ Wolverhampton, Fac Sci & Engn, Wolverhampton WV1 1NA, England.
C3 Wuhan University of Science & Technology; Wuhan Huaxia University of
   Technology; University of Wolverhampton
RP Proverbs, D (corresponding author), Univ Wolverhampton, Fac Sci & Engn, Wolverhampton WV1 1NA, England.
EM yuqimeng2023@163.com; david.proverbs@wlv.ac.uk
RI Proverbs, David/AAL-1178-2020
OI xu, wenping/0000-0003-4474-1583; Proverbs, David/0000-0002-3297-2205
FU Natural Science Foundation of Hubei Province [2022CFC067]
FX The research was funded by the Natural Science Foundation of Hubei
   Province (grant number 2022CFC067).
CR Ai N, 2019, J CLEAN PROD, V212, P1357, DOI 10.1016/j.jclepro.2018.11.205
   Albert C, 2021, NATURE, V596, P486, DOI 10.1038/d41586-021-02309-9
   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
   Birgani YT, 2018, WATER RESOUR MANAG, V32, P2817, DOI 10.1007/s11269-018-1960-2
   Center A.D.R, 2015, SEND FRAM DIS RISK R
   Chen AB, 2022, J HYDROL, V609, DOI 10.1016/j.jhydrol.2022.127724
   Chen JL, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126601
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Chen XB, 2022, KSCE J CIV ENG, V26, P4178, DOI 10.1007/s12205-022-2257-9
   Cheng X., 2016, P 7 ANN M RISK AN CO
   Darnthamrongkul W, 2021, J ENVIRON MANAGE, V300, DOI 10.1016/j.jenvman.2021.113716
   Fekete A, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1370
   Haleem A, 2012, PROD PLAN CONTROL, V23, P722, DOI 10.1080/09537287.2011.642134
   Han GY, 2011, INT J DISAST RISK SC, V2, P21, DOI 10.1007/s13753-011-0013-8
   Haque MM, 2022, INT J DISAST RISK RE, V72, DOI 10.1016/j.ijdrr.2022.102861
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu Lei, 2022, Journal of Hydrology: Regional Studies, DOI 10.1016/j.ejrh.2022.101272
   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
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Kablan MKA, 2017, WATER-SUI, V9, DOI 10.3390/w9040292
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Khadka A, 2020, URBAN WATER J, V17, P587, DOI 10.1080/1573062X.2019.1700285
   Khiavi AN, 2023, STOCH ENV RES RISK A, V37, P2757, DOI 10.1007/s00477-023-02417-0
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Lashford C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010213
   Li DZ, 2022, ENVIRON SCI POLLUT R, V29, P46306, DOI 10.1007/s11356-022-19142-w
   Liang ZF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042082
   Lianxiao, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000551
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu ZH, 2021, NAT HAZARDS, V108, P1545, DOI 10.1007/s11069-021-04744-3
   Ma S., 1984, Acta Ecol. Sin, V4, P1
   Mehryar S, 2022, SCI TOTAL ENVIRON, V837, DOI 10.1016/j.scitotenv.2022.155854
   Mendoza-Cano O, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16122128
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mousavi SM, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128072
   mwr, CHINA FLOOD DROUGHT
   Nayeri S, 2019, NEURAL COMPUT APPL, V31, P7517, DOI 10.1007/s00521-018-3599-6
   Parkouhi SV, 2017, J CLEAN PROD, V161, P431, DOI 10.1016/j.jclepro.2017.04.175
   Qiao H, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010038
   Rapport D.J., 1979, COMPREHENSIVE FRAMEW, P11
   Rodriguez CNAS, 2014, WIRES WATER, V1, P173, DOI 10.1002/wat2.1017
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Sarmah T, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101659
   Sen MK, 2022, J CLEAN PROD, V361, DOI 10.1016/j.jclepro.2022.132266
   Shang XQ, 2020, J AMB INTEL HUM COMP, V11, P3659, DOI 10.1007/s12652-019-01546-1
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Sundaram S, 2021, ENVIRON SCI POLLUT R, V28, P67940, DOI 10.1007/s11356-021-16747-5
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Trepanier JC, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9050170
   Tzeng GH, 2011, MULTIPLE ATTRIBUTE DECISION MAKING: METHODS AND APPLICATIONS, P1
   Wang LL, 2018, SAFETY SCI, V103, P51, DOI 10.1016/j.ssci.2017.11.007
   Wang P, 2021, NAT HAZARDS, V109, P2575, DOI 10.1007/s11069-021-04933-0
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Wilson S., 2004, Sustainable drainage systems: hydraulic, structural and water quality advice
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Yang YY, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126470
   Zeng C, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2022.e12745
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhang Y, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912870
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zheng JX, 2023, STOCH ENV RES RISK A, V37, P1183, DOI 10.1007/s00477-022-02325-9
   Zhou XY, 2017, SAFETY SCI, V91, P93, DOI 10.1016/j.ssci.2016.06.014
   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 69
TC 8
Z9 9
U1 33
U2 133
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAY 16
PY 2023
VL 15
IS 10
AR 1887
DI 10.3390/w15101887
PG 24
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA H7DG6
UT WOS:000997520500001
OA gold
DA 2025-04-22
ER

PT J
AU Esfandi, S
   Rahmdel, L
   Nourian, F
   Sharifi, A
AF Esfandi, Saeed
   Rahmdel, Ladan
   Nourian, Farshad
   Sharifi, Ayyoob
TI The role of urban spatial structure in energy resilience: An integrated
   assessment framework using a hybrid factor analysis and analytic network
   process model
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban spatial structure; Urban energy resilience; Composite index;
   Factor analysis; Analytic network process; Tehran
ID CO2 EMISSIONS; LOW-CARBON; FORM; CONSUMPTION; PERFORMANCE; BUILDINGS;
   CITY; TRANSPORT; EFFICIENCY; INDEX
AB This study investigates the relationship between urban spatial structure and energy resilience at the local level. Sub-district no.7 of District no.1 of Tehran was selected as the study area. First, to evaluate the energy resilience of 250 blocks of the study area, 28 indicators in four components of urban geometry and morphology, land use, public transportation, and passive design were adopted. Subsequently, using a hybrid factor analysis and analytic network process (F'ANP) model, flexibility, interdependence, coordination capacity, equity, efficiency, self organization, independence, and diversity were determined as the eight underlying energy resilience principles related to the spatial structure of the study area. The composite index results reveal that principles and indicators related to transportation have a more significant role in energy resilience than operational energy related ones. Also, increasing compactness without simultaneous attention to the mass-space ratio and adequate provision of green spaces does not necessarily lead to increased energy resilience and may even detract from resilience. To illustrate the practical implications of the study findings, we recommend action plans that can contribute to enhancing the energy resilience of the study area. The proposed globally applicable framework is expected to give urban planners a better understanding ofurban form and spatial structure implicationsfor energy resilience. It can also inform planning and decision making for achieving urban climate change adaptation and mitigation targets.
C1 [Esfandi, Saeed; Rahmdel, Ladan; Nourian, Farshad] Univ Tehran, Sch Urban & Reg Planning, Coll Fine Arts, Tehran, Iran.
   [Nourian, Farshad] Univ Tehran, Sch Urban & Reg Planning, Coll Fine Arts, Res & Grad Studies, Tehran 1933744781, Iran.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Human & Social Sci, Hiroshima 7398511, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, Hiroshima 7398511, Japan.
C3 University of Tehran; University of Tehran; Hiroshima University;
   Hiroshima University
RP Esfandi, S (corresponding author), Univ Tehran, Sch Urban & Reg Planning, Coll Fine Arts, Tehran, Iran.
EM Esfandi_saeed@ut.ac.ir; Ladan_rahmdel@ut.ac.ir; Fnoorian@ut.ac.ir;
   sharifi@hiroshima-u.ac.jp
RI Sharifi, Ayyoob/M-7584-2013; Esfandi, Saeed/AAU-2639-2021; Nourian,
   Farshad/S-3142-2017
OI Nourian, Farshad/0000-0003-2286-9738; Esfandi, Saeed/0000-0003-2965-8140
CR Aali A., 2017, INT J OPTIMIZATION C, V7, P597
   Aghamolaei R, 2018, SUSTAIN CITIES SOC, V41, P252, DOI 10.1016/j.scs.2018.05.048
   Aksoezen M, 2015, ENERG BUILDINGS, V87, P74, DOI 10.1016/j.enbuild.2014.10.074
   [Anonymous], 2017, RESILIENT CITIES OVE
   Apreda C, 2020, ENERG BUILDINGS, V223, DOI 10.1016/j.enbuild.2020.110171
   ARUP, 2019, FUT PROOF EN SYST EN
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Asadzadeh A, 2015, INT J DISAST RISK RE, V14, P504, DOI 10.1016/j.ijdrr.2015.10.002
   Asarpota K, 2020, ENERGIES, V13, DOI 10.3390/en13143642
   Asfour OS, 2015, ENERG BUILDINGS, V91, P131, DOI 10.1016/j.enbuild.2015.01.030
   Bahramian F, 2021, SUSTAIN ENERGY TECHN, V47, DOI 10.1016/j.seta.2021.101419
   Baptista S.R., 2014, Design and use of composite indices in assessments of climate change vulnerability and resilience
   Sosa MB, 2018, ENERG BUILDINGS, V168, P137, DOI 10.1016/j.enbuild.2018.03.006
   Sosa MB, 2017, SUSTAIN CITIES SOC, V32, P547, DOI 10.1016/j.scs.2017.05.003
   Benítez J, 2015, J COMPUT APPL MATH, V290, P412, DOI 10.1016/j.cam.2015.05.023
   Boehme P, 2015, SUSTAIN CITIES SOC, V19, P373, DOI 10.1016/j.scs.2015.05.006
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chen HC, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102246
   Chen HC, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101863
   City of Perth, 2016, EN RES CIT STRAT DIR
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Costanzo V, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102467
   De Pascali P, 2019, ENERGIES, V12, DOI 10.3390/en12010035
   de Sherbinin A, 2013, SPATIAL CLIMATE CHAN
   Ding C, 2017, CITIES, V68, P25, DOI 10.1016/j.cities.2017.05.005
   Elena C, 2017, ENRGY PROCED, V111, P436, DOI 10.1016/j.egypro.2017.03.204
   Erker S, 2017, J CLEAN PROD, V164, P495, DOI 10.1016/j.jclepro.2017.06.162
   Erker S, 2017, J CLEAN PROD, V164, P420, DOI 10.1016/j.jclepro.2017.06.163
   Esfandi S., 2021, LAND USE POLICY, V109, DOI [10.1016/j.landusepol.2021.105628, DOI 10.1016/J.LANDUSEPOL.2021.105628]
   Esfandi S, 2020, ENERGIES, V13, DOI 10.3390/en13236453
   Estiri H, 2019, ENERGY RES SOC SCI, V55, P62, DOI 10.1016/j.erss.2019.05.006
   Farhadi H, 2019, SUSTAIN CITIES SOC, V46, DOI 10.1016/j.scs.2019.101448
   Fekete A., 2016, NAT HAZARDS, DOI [10.1007/s11069-016-2720-3, DOI 10.1007/S11069-016-2720-3]
   Fekete A, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101635
   Fichera A, 2016, CITIES, V55, P49, DOI 10.1016/j.cities.2016.03.011
   Field A.P., 2004, DISCOVERING STAT USI, V2nd
   Fonseca JA, 2015, APPL ENERG, V142, P247, DOI 10.1016/j.apenergy.2014.12.068
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Ghorbani N, 2017, ENRGY PROCED, V135, P23, DOI 10.1016/j.egypro.2017.09.484
   Grafakos S, 2017, INT J SUSTAIN ENERGY, V36, P945, DOI 10.1080/14786451.2015.1130709
   Hachem C, 2016, APPL ENERG, V177, P422, DOI 10.1016/j.apenergy.2016.05.117
   Hakiminejad A, 2015, P I CIVIL ENG-ENG SU, V168, P105, DOI 10.1680/ensu.14.00017
   Hosseini SM, 2019, ENERGY REP, V5, P619, DOI 10.1016/j.egyr.2019.05.004
   Hughes L, 2015, ENERGY, V84, P443, DOI 10.1016/j.energy.2015.03.010
   International Energy Agency (IEA), 2019, GLOB EN REV LAT TREN
   Iran's Ministry of Energy, 2017, IR EN BAL REP
   Javanroodi K, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101597
   Jesse BJ, 2019, ENERGY SUSTAIN SOC, V9, DOI 10.1186/s13705-019-0210-7
   Sarralde JJ, 2015, RENEW ENERG, V73, P10, DOI 10.1016/j.renene.2014.06.028
   Juaidi A, 2016, ENERG POLICY, V91, P247, DOI 10.1016/j.enpol.2016.01.012
   KAISER HF, 1960, EDUC PSYCHOL MEAS, V20, P141, DOI 10.1177/001316446002000116
   Keck M, 2013, ERDKUNDE, V67, P5, DOI 10.3112/erdkunde.2013.01.02
   Keirstead J, 2010, ENERG POLICY, V38, P4870, DOI 10.1016/j.enpol.2009.07.025
   Kenney M. A., 2012, NCA REPORT SERIES, V5c, P28
   Kimball K., 2010, LEED NEIGHBORHOOD DE
   Kosugi T, 2018, URBAN REGIONAL PLANN, V5, P111
   Koutra S, 2018, SUSTAIN CITIES SOC, V39, P784, DOI 10.1016/j.scs.2018.03.011
   Leibowicz BD, 2020, EUR J OPER RES, V284, P604, DOI 10.1016/j.ejor.2019.12.034
   Li PL, 2018, APPL ENERG, V211, P820, DOI 10.1016/j.apenergy.2017.11.022
   Liu XJ, 2020, APPL ENERG, V261, DOI 10.1016/j.apenergy.2019.114409
   Lo AY, 2016, LAND USE POLICY, V54, P212, DOI 10.1016/j.landusepol.2016.02.014
   Maskey R, 2018, ASIAN J SHIPPING LOG, V34, P91, DOI 10.1016/j.ajsl.2018.06.006
   McLellan B., 2012, Challenges, V3, P153, DOI [DOI 10.3390/CHALLE3020153, 10.3390/challe3020153]
   Mirzaei PA, 2015, SUSTAIN CITIES SOC, V19, P200, DOI 10.1016/j.scs.2015.04.001
   Moghadam S. T., 2019, SUSTAINABLE CITIES A, P79, DOI [10.5772/intechopen.80883, DOI 10.5772/INTECHOPEN.80883]
   Moraci F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030755
   Muñiz I, 2019, ENVIRON IMPACT ASSES, V76, P79, DOI 10.1016/j.eiar.2019.02.002
   Mutani G, 2019, INT J HEAT TECHNOL, V37, P936, DOI 10.18280/ijht.370402
   Namini RS, 2019, INT J URBAN SUSTAIN, V11, P48, DOI 10.1080/19463138.2019.1572611
   Nasri A, 2014, TRANSPORT POLICY, V32, P172, DOI 10.1016/j.tranpol.2013.12.009
   Natanian J, 2019, APPL ENERG, V254, DOI 10.1016/j.apenergy.2019.113637
   Nieuwenhuijsen MJ, 2020, ENVIRON INT, V140, DOI 10.1016/j.envint.2020.105661
   NIST, 2015, DISASTER RESILIENCE
   Nykiforuk C. I. J., 2016, CANADA PREV MED REP, V4, P532, DOI 10.1016/j.pmedr.2016.09.010
   Ohshita S., 2017, SUMM STUD P CONS EFF, P719
   Olazabal M, 2016, ENVIRON INNOV SOC TR, V18, P18, DOI 10.1016/j.eist.2015.06.006
   Ouf Mohamed M., 2017, International Journal of Sustainable Built Environment, V6, P359, DOI 10.1016/j.ijsbe.2017.05.003
   Pars Boom Consulting Engineers, 2013, TEHR MAST PLAN
   Pérez J, 2019, CITIES, V91, P126, DOI 10.1016/j.cities.2018.11.012
   Proque AL, 2020, ENERG ECON, V90, DOI 10.1016/j.eneco.2020.104864
   Ragheb SA, 2018, WIT TRANS ECOL ENVIR, V226, P667, DOI 10.2495/SDP170581
   Rahmani O, 2020, PROCESSES, V8, DOI 10.3390/pr8080994
   Ribeiro D., 2015, Enhancing Community Resilience through Energy Efficiency
   Ribeiro David, 2017, Indicators for Local Energy Resilience
   Rodríguez-Alvarez J, 2016, LANDSCAPE URBAN PLAN, V148, P170, DOI 10.1016/j.landurbplan.2016.01.001
   Roggema R, 2014, LAND, V3, P460, DOI 10.3390/land3020460
   Ruparathna R, 2016, RENEW SUST ENERG REV, V53, P1032, DOI 10.1016/j.rser.2015.09.084
   Saaty T.L., 2001, Decision making with interdependence and feedback, the Analytic Network process
   Salat S, 2017, INT J URBAN SUSTAIN, V9, P107, DOI 10.1080/19463138.2016.1277227
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Schröder S, 2017, CITIZENS' PARTICIPATION IN URBAN PLANNING AND DEVELOPMENT IN IRAN, P172
   Seelig S, 2011, CITIES, V28, P545, DOI 10.1016/j.cities.2011.06.001
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Sharifi A, 2015, ENRGY PROCED, V75, P2904, DOI 10.1016/j.egypro.2015.07.586
   Shi ZM, 2017, BUILD ENVIRON, V121, P119, DOI 10.1016/j.buildenv.2017.05.006
   Silva M, 2018, SUSTAIN CITIES SOC, V40, P372, DOI 10.1016/j.scs.2018.01.028
   Silva M, 2017, J PLAN LIT, V32, P346, DOI 10.1177/0885412217706900
   Silva MC, 2017, APPL ENERG, V202, P386, DOI 10.1016/j.apenergy.2017.05.113
   Soares N, 2017, RENEW SUST ENERG REV, V77, P845, DOI 10.1016/j.rser.2017.04.027
   Statistical Center of Iran, 2016, Census 2016-General Results
   Stephan A, 2016, APPL ENERG, V161, P445, DOI 10.1016/j.apenergy.2015.10.023
   Stoeglehner G., 2016, INTEGRATED SPATIAL E, DOI [10.1007/978-3-319-31870, DOI 10.1007/978-3-319-31870]
   Stoeglehner G, 2020, EVOL INST ECON REV, V17, P473, DOI 10.1007/s40844-020-00160-7
   Sugahara M., 2016, OECD REGIONAL DEV WO
   Suh HS, 2019, SUSTAIN CITIES SOC, V44, P488, DOI 10.1016/j.scs.2018.10.036
   Tehran Comprehensive Transportation and Traffic Company, 2015, URB TRANSP STAT
   Tehran Municipality ICT Organization, 2020, TEHR STAT YB 2019 20
   Tehran Municipality ICT Organization, 2020, TEHR MUN STAT YB 201
   Trepci E, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2019.101987
   Urmee T., 2017, Renewable Energy And Environmental Sustainability, V2, P43, DOI [10.1051/rees/2017007, 10.1051/Rees/2017007, DOI 10.1051/REES/2017007]
   Vartholomaios A, 2017, SUSTAIN CITIES SOC, V28, P135, DOI 10.1016/j.scs.2016.09.006
   Vermeulen T, 2018, SOL ENERGY, V162, P67, DOI 10.1016/j.solener.2018.01.014
   Walker B, 2004, ECOL SOC, V9
   Wang Q, 2020, ENERGY, V202, DOI 10.1016/j.energy.2020.117765
   Wang Y, 2016, CITIES, V50, P1, DOI 10.1016/j.cities.2015.08.004
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Webb J, 2016, CITIES, V54, P28, DOI 10.1016/j.cities.2015.10.014
   Wu JL, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101893
   Yang PPJ, 2016, ADV SCI TECH SEC APP, P153, DOI 10.1007/978-3-319-39812-9_9
   Yeo IA, 2018, APPL ENERG, V230, P889, DOI 10.1016/j.apenergy.2018.09.014
   Yousefi S, 2022, URBAN RES PRACT, V15, P25, DOI 10.1080/17535069.2019.1699596
   Yüksel I, 2007, INFORM SCIENCES, V177, P3364, DOI 10.1016/j.ins.2007.01.001
   Zebardast E, 2013, NAT HAZARDS, V65, P1331, DOI 10.1007/s11069-012-0412-1
   Zhang J, 2019, APPL ENERG, V240, P513, DOI 10.1016/j.apenergy.2019.02.033
   Zhang XX, 2018, APPL ENERG, V230, P1034, DOI 10.1016/j.apenergy.2018.09.041
   Zhao PJ, 2017, HABITAT INT, V66, P95, DOI 10.1016/j.habitatint.2017.06.001
   Zuniga-Teran AA, 2016, FRONT ARCHIT RES, V5, P433, DOI 10.1016/j.foar.2016.09.004
NR 129
TC 26
Z9 26
U1 28
U2 146
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 103458
DI 10.1016/j.scs.2021.103458
EA OCT 2021
PG 26
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 XE8ZA
UT WOS:000723670200001
DA 2025-04-22
ER

PT J
AU Cao, X
   Wang, DL
AF Cao, Xia
   Wang, Delei
TI Urban resilience governance mechanism: Insights from COVID-19 prevention
   and control in 30 Chinese cities
SO RISK ANALYSIS
LA English
DT Article
DE PSR; QCA; urban COVID-19 ' s prevention; urban resilience
ID RISK; QCA; MANAGEMENT; RELEVANCE; FUZZY; SET
AB Due to the pervasive uncertainty in human society, super large and megacities are increasingly prone to becoming high-risk areas. However, the construction of urban resilience in this new era lacks sufficient research on the core conditions and complex interactive mechanisms governing it. Hence, this study proposes a specialized event-oriented framework for governing urban resilience in China based on the pressure-state-response (PSR) theory. We examined COVID-19 cases in 30 cities across China and analyzed the distribution of prevention and control achievements between high-level and non-high-level conditions. Our findings reveal the following key points: (1) High-level achievements in COVID-19 prevention and control rely on three condition configurations: non-pressure-responsive type, pressure-state type, and pressure-responsive type. (2) High economic resilience may indicate a robust state of urban systems amid demographic pressures. In cities experiencing fewer event pressure factors, the application of digital technology plays a crucial role in daily urban management. (3) The implementation of flexible policies proves beneficial in mitigating the impact of objective pressure conditions, such as environmental factors, on urban resilience.
C1 [Cao, Xia; Wang, Delei] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Peoples R China.
C3 Harbin Engineering University
RP Wang, DL (corresponding author), Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Peoples R China.
EM hlhwdl456@163.com
RI wang, delei/HSC-7824-2023
OI WANG, Delei/0000-0002-9184-2486
FU National Social Science Fund of China [21BGL064]
FX National Social Science Fund of China, Grant/Award Number: 21BGL064
CR Andrews R, 2016, J PUBL ADM RES THEOR, V26, P239, DOI 10.1093/jopart/muv005
   Armitage D, 2006, ECOL SOC, V11
   Bai W, 2022, INT J BIOL SCI, V18, P5314, DOI 10.7150/ijbs.75699
   Beynon M, 2024, TECHNOL FORECAST SOC, V199, DOI 10.1016/j.techfore.2023.123042
   Cao J., 2023, Untangling the association between urban mobility and urban elements, DOI [10.1080/10095020.2022.2157761, DOI 10.1080/10095020.2022.2157761]
   Charu V, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005382
   Chen J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102892
   Coccia M, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.138474
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dong JC, 2021, J MED SYST, V45, DOI 10.1007/s10916-021-01757-0
   Dufrénot G, 2024, OXFORD ECON PAP, V76, P1089, DOI 10.1093/oep/gpae003
   Edwards AM, 2022, SCIENCE, V375, P1133, DOI 10.1126/science.abn1900
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fainshmidt S, 2020, J INT BUS STUD, V51, P455, DOI 10.1057/s41267-020-00313-1
   Fiss PC, 2013, POLIT RES QUART, V66, P191, DOI 10.1177/1065912912468269e
   Fiss PC, 2011, ACAD MANAGE J, V54, P393, DOI 10.5465/AMJ.2011.60263120
   Gariazzo C, 2019, APPL SPAT ANAL POLIC, V12, P753, DOI 10.1007/s12061-018-9268-4
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gonalves C., 2021, CIDADES, Comunidades e Territrios, Vsp21, P63, DOI [10.15847/cct.20503, DOI 10.15847/CCT.20503]
   Gonzalez S, 2014, URBAN STUD, V51, P3164, DOI 10.1177/0042098013519142
   Hak T, 2012, ECOL INDIC, V17, P46, DOI 10.1016/j.ecolind.2011.04.034
   Hao QY, 2020, KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, P3485, DOI 10.1145/3394486.3412860
   Hong J, 2023, RISK ANAL, V43, P97, DOI 10.1111/risa.14005
   Huang DQ, 2021, J GEOGR SCI, V31, P1737, DOI 10.1007/s11442-021-1920-2
   Huang HB, 2018, SCI TOTAL ENVIRON, V622, P394, DOI 10.1016/j.scitotenv.2017.11.358
   Iqbal N, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.138916
   Jung S, 2007, INFORM PROCESS MANAG, V43, P791, DOI 10.1016/j.ipm.2006.07.021
   Kabir M. H., 2017, 7 INT C BUILD RES IC
   Kong XJ, 2022, IEEE T NETW SCI ENG, V9, P1359, DOI 10.1109/TNSE.2022.3142316
   Li XQ, 2023, SUSTAIN CITIES SOC, V95, DOI 10.1016/j.scs.2023.104605
   Linkov I., 2019, The Science and Practice of Resilience, DOI DOI 10.1007/978-3-030-04565-4
   Longest KC, 2008, STATA J, V8, P79, DOI 10.1177/1536867X0800800106
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Merler S, 2010, P ROY SOC B-BIOL SCI, V277, P557, DOI 10.1098/rspb.2009.1605
   Mitra P, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182312493
   Nayal K, 2024, IEEE T ENG MANAGE, V71, P10441, DOI 10.1109/TEM.2023.3266151
   Ning Y, 2023, FRONT ENG MANAG, V10, P39, DOI 10.1007/s42524-022-0230-4
   Ogen Y, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138605
   Peters MA, 2023, HEALTH POLICY PLANN, V38, P789, DOI 10.1093/heapol/czad032
   Ragin Charles., 2008, The Oxford Handbook of Political Methodology, P174, DOI DOI 10.1093/OXFORDHB/9780199286546.003.0008
   Rudd MA, 2004, ECOL ECON, V48, P109, DOI 10.1016/j.ecolecon.2003.10.002
   Schneider CQ, 2012, STRAT SOC INQ, P1
   Schuit M, 2020, J INFECT DIS, V222, P564, DOI 10.1093/infdis/jiaa334
   Shahzad F, 2020, SCI TOTAL ENVIRON, V736, DOI 10.1016/j.scitotenv.2020.139115
   Shi JN, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095368
   Smith A, 2010, ECOL SOC, V15
   Storonyanska I, 2021, FINANC CREDIT ACT, V4, P521
   Taleb N.N., 2014, ANTIFRAGILE THINGS G, V3
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   Vamvakeridou-Lyroudia LS, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.136078
   Vicari R, 2019, NAT HAZARD EARTH SYS, V19, P1485, DOI 10.5194/nhess-19-1485-2019
   Wagemann C, 2016, J BUS RES, V69, P2531, DOI 10.1016/j.jbusres.2015.10.010
   Wamsley D, 2021, BIG DATA SOC, V8, DOI 10.1177/20539517211019441
   Wang Q, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18116053
   Wang YJ, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19138048
   Wegman F., 2008, SUNflowerNext: Towards a composite road safety performance index
   Wu DS, 2023, RISK ANAL, V43, P5, DOI 10.1111/risa.14084
   Xiao JL, 2022, SIGNA VITAE, V18, P103, DOI 10.22514/sv.2021.229
   Xu PF, 2022, TRANSP RES INTERDISC, V13, DOI 10.1016/j.trip.2022.100555
   Xue LQ, 2019, SCI TOTAL ENVIRON, V649, P876, DOI 10.1016/j.scitotenv.2018.08.321
   Yang L, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17082731
   Yao MS, 2020, SCI TOTAL ENVIRON, V731, DOI 10.1016/j.scitotenv.2020.139178
   Yi PT, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2023.103528
   You HY, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17103417
   Zawadzki M, 2023, RISK ANAL, V43, P78, DOI 10.1111/risa.14014
   Zhai GF, 2015, HUM ECOL RISK ASSESS, V21, P1206, DOI 10.1080/10807039.2014.955385
   Zhang JX, 2023, RISK ANAL, V43, P114, DOI 10.1111/risa.13934
   Zhou D, 2013, J ENVIRON MANAGE, V128, P642, DOI 10.1016/j.jenvman.2013.06.025
   Zhu YJ, 2020, SCI TOTAL ENVIRON, V727, DOI 10.1016/j.scitotenv.2020.138704
   Zou YF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182312857
NR 70
TC 0
Z9 0
U1 40
U2 87
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0272-4332
EI 1539-6924
J9 RISK ANAL
JI Risk Anal.
PD JAN
PY 2025
VL 45
IS 1
BP 40
EP 55
DI 10.1111/risa.14615
EA JUN 2024
PG 16
WC Public, Environmental & Occupational Health; Mathematics,
   Interdisciplinary Applications; Social Sciences, Mathematical Methods
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Mathematics; Mathematical
   Methods In Social Sciences
GA U4T9S
UT WOS:001253844400001
PM 38922992
DA 2025-04-22
ER

PT J
AU Bertilsson, L
   Wiklund, K
   Tebaldi, ID
   Rezende, OM
   Veról, AP
   Miguez, MG
AF Bertilsson, Louise
   Wiklund, Karin
   Tebaldi, Isadora de Moura
   Rezende, Osvaldo Moura
   Verol, Aline Pires
   Miguez, Marcelo Gomes
TI Urban flood resilience - A multi-criteria index to integrate flood
   resilience into urban planning
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Sustainable urban drainage; Urban development; Urban floods; Flood risk;
   Flood resilience; Spatialized Urban Flood Resilience Index S-FRESI
ID VULNERABILITY; MANAGEMENT; LESSONS; RISK
AB Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugenia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures.
C1 [Bertilsson, Louise; Wiklund, Karin] Lund Univ, Dept Bldg & Environm Technol, Div Water Resources Engn, Lund, Sweden.
   [Tebaldi, Isadora de Moura; Verol, Aline Pires] Univ Fed Rio de Janeiro, Fac Architecture & Urbanism, Rio De Janeiro, Brazil.
   [Rezende, Osvaldo Moura; Verol, Aline Pires; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, COPPE, Civil Engn Program, Rio De Janeiro, Brazil.
   [Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, POLI, Polytech Sch, Rio De Janeiro, Brazil.
C3 Lund University; Universidade Federal do Rio de Janeiro; Universidade
   Federal do Rio de Janeiro; Universidade Federal do Rio de Janeiro
RP Miguez, MG (corresponding author), LHC, Av Athos da Silveira Ramos 149,CT Bloco 1-2000, BR-21941909 Rio De Janeiro, RJ, Brazil.
EM marcelomiguez@poli.ufrj.br
RI Rezende, Osvaldo/P-4740-2019; Miguez, Marcelo Gomes/A-3252-2013; VEROL,
   ALINE PIRES/R-2750-2017
OI Varela, Juan Carlos/0000-0003-1480-0837; Miguez, Marcelo
   Gomes/0000-0003-4206-4013; VEROL, ALINE PIRES/0000-0001-7793-1143; Moura
   Rezende, Osvaldo/0000-0002-9424-7906
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahiablame LM, 2012, WATER AIR SOIL POLL, V223, P4253, DOI 10.1007/s11270-012-1189-2
   Andoh RobertY.G., 2002, Global Solutions for Urban Drainage, P1, DOI [DOI 10.1061/40644(2002)19, 10.1061/40644]
   [Anonymous], SUMMARY CITY CASE ST
   [Anonymous], 2008, INTERGOVERNMENTAL PA
   [Anonymous], 2015, The Human Cost of Weather Related Disasters 1995-2015
   [Anonymous], URBAN WATER J
   [Anonymous], ECOL SOC
   Batica J., 2015, Methodology for flood resilience assessment in urban environments and mitigation strategy development
   Berkes F., 1998, CAMBRIDGE
   Bertilsson L., 2015, THESIS
   Birkland TA., 2009, Resilience engineering perspectives volume 2: preparation and restoration, V2, P15
   Birkmann J., 2005, DANGER NEED NOT SPEL
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   D'Ercole R., 1994, REVUE DE GSOGRAPHIE, V82, P87, DOI 10.3406/rga.1994.3776
   European Commission, 2012, COM 2012, P586
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C. S., 1996, PRESS
   Hollnagel E., 2008, BURLINGTON, V1
   IBGE-Instituto Brasileiro de Geografia e Estatistica, 2014, ONLINE
   International Bank for Reconstruction and Development/World Bank, 2013, BUILDING URBAN RESIL, DOI 10.1596/978-0-8213-8865-5
   IPCC, 2012, MANAGING RISKS EXTRE
   Johannessen Å, 2017, ECOL SOC, V22, DOI 10.5751/ES-08870-220101
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   LELE S., 1998, ENVIRON DEV ECON, V3, DOI 10.1017/S1355770X98260128
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Mascarenhas FCB, 2002, WATER INT, V27, P208, DOI 10.1080/02508060208686994
   Mcbain W., 2010, FLOOD RESILIENCE RES, P174
   Meerow S., 2016, LANDSCAPE URBAN PLAN, DOI 10.1016/j.landurbplan.2015.11.011
   MIGUEZ, WATER SWITZERLAND, V61, P2017, DOI DOI 10.3390/W9060445
   MIGUEZ V, 2017, SCI, V44, P925, DOI DOI 10.1177/0265813516655799
   Ministerio das Cidades, 2011, MANUAL PARS APRESENT
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nagem F. R. M., 2008, THESIS
   Pender G., 2007, Environmental Hazards, V7, P106, DOI 10.1016/j.envhaz.2007.07.006
   Plate EJ, 2002, J HYDROL, V267, P2, DOI 10.1016/S0022-1694(02)00135-X
   Rezende O.M., 2018, THESIS
   Roy AH, 2008, ENVIRON MANAGE, V42, P344, DOI 10.1007/s00267-008-9119-1
   Salgado J. C. M., 1995, THESIS
   Sayers P., 2013, WATER SEW J
   Tingsanchali T, 2012, PROCEDIA ENGINEER, V32, P25, DOI 10.1016/j.proeng.2012.01.1233
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   UNISDR, 2012, MAKING CITIES RESILE
   Verol A. P., 2013, THESIS
   Wisner B., 2003, PRESS, DOI 10.4324/9780203428764
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Xu L, 2015, SUSTAIN SCI, V10, P123, DOI 10.1007/s11625-014-0274-4
   Zanobetti D., 1968, HOUILLE BLANCHE, V1, P17, DOI [10.1051/Ihb/1968002, DOI 10.1051/LHB/1968002]
   Zonensein J., 2008, 11th International Conference on Urban Drainage, P1
NR 51
TC 238
Z9 253
U1 163
U2 764
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD JUN
PY 2019
VL 573
BP 970
EP 982
DI 10.1016/j.jhydrol.2018.06.052
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 IH2MB
UT WOS:000474327800076
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Ban, Y
   Wang, Y
   Chen, XH
   Wei, LQ
AF Ban, Yang
   Wang, Ying
   Chen, Xiaohong
   Wei, Liuqing
TI Synergistic Patterns of Urban Economic Efficiency and the Economic
   Resilience of the Harbin-Changchun Urban Agglomeration in China
SO SUSTAINABILITY
LA English
DT Article
DE economic efficiency; economic resilience; Haken model; synergistic
   pattern; Harbin-Changchun urban agglomeration
ID REGIONAL RESILIENCE; ECO-EFFICIENCY; SHOCKS; VULNERABILITY;
   URBANIZATION; COORDINATION
AB Regional economic efficiency and resilience are necessary conditions for sustainable regional economic development, and urban agglomerations are the core carriers of regional economic development. Exploring the synergistic patterns between economic efficiency and economic resilience is crucial to the sustainable economic growth and development of urban agglomerations and their surrounding regions. To measure the economic efficiency, economic resilience, and synergistic capacity of the Harbin-Changchun urban agglomeration from 2010 to 2019, the super-efficient SBM model, the entropy-TOPSIS model, and the Haken model are used. The economic efficiency of the Harbin-Changchun urban agglomeration shows a mild upward trend between 2010 and 2019, while its economic resilience shows a more stable upward trend. A distinct phased pattern of synergies exists between economic efficiency and economic resilience. In terms of the time trend, a "down-up-down" pattern emerges, while in terms of the spatial pattern, a dumbbell-shaped structure appears with "highs at the north and south and lows in the middle." Combined synergy values are highest in the north and south of Qiqihar, Jilin, Siping, Liaoyuan, and Mudanjiang, followed by Harbin and Changchun; the values are lowest in the middle of Suihua, Daqing, and Songyuan. This study also proposes strategies to weaken inter-regional differentiation and to increase economic efficiency and economic resilience across cities in accordance with the actual situation.
C1 [Ban, Yang; Wang, Ying; Chen, Xiaohong; Wei, Liuqing] Harbin Normal Univ, Coll Geog Sci, Harbin 150025, Peoples R China.
C3 Harbin Normal University
RP Wang, Y; Chen, XH (corresponding author), Harbin Normal Univ, Coll Geog Sci, Harbin 150025, Peoples R China.
EM dilixiwangying@126.com; chenxh440@163.com
RI Wei, Liu/JAO-1481-2023; wang, ying/GQY-5077-2022
FU National Natural Science Foundation [41401182, 41501173]; Youth Scholar
   Backbone Foundation Program of Harbin Normal University [KGB201203]
FX This research was funded by the National Natural Science Foundation For
   Youth (41401182 and 41501173) and the Youth Scholar Backbone Foundation
   Program of Harbin Normal University (KGB201203).
CR ABRAMOVITZ M, 1956, AM ECON REV, V46, P5
   Angulo AM, 2018, ANN REGIONAL SCI, V60, P349, DOI 10.1007/s00168-017-0815-8
   Brakman S, 2015, CAMB J REG ECON SOC, V8, P225, DOI 10.1093/cjres/rsv005
   Breathnach P, 2015, REG STUD REG SCI, V2, P497, DOI 10.1080/21681376.2015.1088792
   Briguglio L, 2009, OXF DEV STUD, V37, P229, DOI 10.1080/13600810903089893
   Briguglio LP, 2016, J ECON STUD, V43, P1057, DOI 10.1108/JES-12-2014-0203
   Cowell MM, 2013, CITIES, V30, P212, DOI 10.1016/j.cities.2012.04.001
   de Arquer M, 2022, CENT EUR J OPER RES, V30, P1307, DOI 10.1007/s10100-021-00766-1
   Deilmann C, 2016, ECOL INDIC, V67, P798, DOI 10.1016/j.ecolind.2016.03.039
   [丁建军 Ding Jianjun], 2020, [地理科学进展, Progress in Geography], V39, P924
   Giannakis E, 2017, EUR PLAN STUD, V25, P1394, DOI 10.1080/09654313.2017.1319464
   Graziano P, 2016, SCI TOTAL ENVIRON, V553, P211, DOI 10.1016/j.scitotenv.2016.02.051
   HAKEN H, 1987, PHYS SCRIPTA, V35, P247, DOI 10.1088/0031-8949/35/3/006
   [韩增林 Han Zenglin], 2022, [地理研究, Geographical Research], V41, P406
   Holm JR, 2015, REG STUD, V49, P95, DOI 10.1080/00343404.2013.787159
   Hong XF, 2022, DISCRETE DYN NAT SOC, V2022, DOI 10.1155/2022/6324351
   Kahiluoto H, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162736
   [康蕾 Kang Lei], 2020, [地理科学, Scientia Geographica Sinica], V40, P1868
   Kang L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114624
   Korhonen J, 2015, ECOL ECON, V120, P83, DOI 10.1016/j.ecolecon.2015.09.006
   Li L. G., 2019, Hum. Geogr, V2, P1, DOI [10.13959/j.issn.1003-2398.2019.02.001, DOI 10.13959/J.ISSN.1003-2398.2019.02.001]
   Li LG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030723
   [李琳 Li Lin], 2014, [地理研究, Geographical Research], V33, P1603
   [李宁 Li Ning], 2019, [地理科学, Scientia Geographica Sinica], V39, P1293
   Liu Z.M., 2018, URBAN ARCHIT, V35, P16, DOI [10.19892/j.cnki.csjz.2018.35.004, DOI 10.19892/J.CNKI.CSJZ.2018.35.004]
   Liu ZM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102964
   Ma JW, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195380
   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
   Mayor M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114693
   Niu X.Q., 2019, STAT DECIS, V35, P116, DOI [10.13546/j.cnki.tjyjc.2019.15.027, DOI 10.13546/J.CNKI.TJYJC.2019.15.027]
   Ouyang H., 2019, STAT DECIS, V35, P9, DOI [10.13546/j.cnki.tjyjc.2019.12.002, DOI 10.13546/J.CNKI.TJYJC.2019.12.002]
   Qi X., 2019, ZHEJIANG SOCIAL SCI, V40-46, P156, DOI [10.14167/j.zjss.2019.05.005, DOI 10.14167/J.ZJSS.2019.05.005]
   Ren YF, 2019, J GEOGR SCI, V29, P1315, DOI 10.1007/s11442-019-1661-7
   Rizzi P, 2018, ANN REGIONAL SCI, V60, P285, DOI 10.1007/s00168-017-0854-1
   SOLOW RM, 1956, Q J ECON, V70, P65, DOI 10.2307/1884513
   [孙才志 Sun Caizhi], 2020, [地理科学, Scientia Geographica Sinica], V40, P2094
   [孙久文 Sun Jiuwen], 2017, [经济地理, Economic Geography], V37, P1
   Sun PJ, 2013, CHINESE GEOGR SCI, V23, P729, DOI 10.1007/s11769-013-0634-5
   Tone K, 2002, EUR J OPER RES, V143, P32, DOI 10.1016/S0377-2217(01)00324-1
   Tone K., 2011, Journal of CENTRUM Cathedra, V4, P236, DOI [DOI 10.7835/JCC-BERJ-2011-0061, 10.7835/jcc-berj-2011-0061]
   Tzeremes NG, 2014, ECON LETT, V124, P127, DOI 10.1016/j.econlet.2014.05.006
   Wang Y, 2021, CHINESE GEOGR SCI, V31, P429, DOI 10.1007/s11769-021-1202-z
   [闫涛 Yan Tao], 2021, [中国科学院大学学报, Journal of University of Chinese Academy of Sciences], V38, P486
   [曾俊伟 Zeng Junwei], 2021, [经济地理, Economic Geography], V41, P77
   [赵瑞东 Zhao Ruidong], 2020, [地理科学进展, Progress in Geography], V39, P1717
NR 47
TC 3
Z9 3
U1 28
U2 121
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2023
VL 15
IS 1
AR 102
DI 10.3390/su15010102
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 7R2BU
UT WOS:000909882900001
OA gold
DA 2025-04-22
ER

PT J
AU Li, D
   Zhong, WJ
   Chen, YT
AF Li, Dan
   Zhong, Wenjing
   Chen, Yitao
TI The Role of Farmland Titling in Urban Agricultural Resilience: Evidence
   from Metropolitan Guangzhou, China
SO SUSTAINABILITY
LA English
DT Article
DE farmland titling; urban agriculture; resilience; farmer households;
   factor allocation
ID PROPERTY-RIGHTS; LAND; SUSTAINABILITY; URBANIZATION; FARMERS; CITY
AB Urban agriculture has been seen as an essential strategy for enhancing food security and urban resilience and is valued by many countries, but its development faces many challenges. Whether farmland system reform can improve the factor allocation of urban farmer households and then promote the resilience of urban agriculture has not received sufficient attention. Therefore, this article uses property rights theory to explain the logic that farmland titling as a formal institution affects the factor allocation of urban farmer households (UFHs). Furthermore, empirical analysis of whether farmland titling positively affects the UFHs' willingness toward farmland, and capital allocation was performed based on household-level survey data from metropolitan Guangzhou, China. The implications of this research are as follows: emphasizing that the reform of farmland titling is vital for the farmland transaction market, strengthening talent cultivation, and increasing agricultural green input and investment, all of which are beneficial to promote the modernization and sustainability of urban agriculture, thus improving the resilience of urban regions.
C1 [Li, Dan; Zhong, Wenjing; Chen, Yitao] South China Agr Univ, Coll Econ & Management, Guangzhou 510642, Peoples R China.
C3 South China Agricultural University
RP Zhong, WJ (corresponding author), South China Agr Univ, Coll Econ & Management, Guangzhou 510642, Peoples R China.
EM wjzhong@scau.edu.cn
FU National Natural Science Foundation of China [72173047]; Social Science
   Foundation in Guangzhou, Guangdong Province of China [GD21CYJ16]; Social
   Science Foundation in Guangdong Province of China [2022A1515012082];
   Natural Science Foundation of Guangdong Province of China [2020GZYB33];
   National Natural Science Foundation of China Project [71703041]
FX This research is supported by the National Natural Science Foundation of
   China (No. 72173047), the Social Science Foundation in Guangzhou,
   Guangdong Province of China (Project No. 2020GZYB33), the Social Science
   Foundation in Guangdong Province of China (Project No. GD21CYJ16), the
   Natural Science Foundation of Guangdong Province of China (Project No.
   2022A1515012082), and the National Natural Science Foundation of China
   Project (No. 71703041).
CR [Anonymous], TZGG2272 CONTENT POS
   [Anonymous], AS
   Attwater R, 2017, WATER-SUI, V9, DOI 10.3390/w9030223
   Azunre GA, 2019, CITIES, V93, P104, DOI 10.1016/j.cities.2019.04.006
   Barthel S, 2019, ANTHROPOCENE REV, V6, P71, DOI 10.1177/2053019619856672
   Barzel Y., 1989, Economic analysis of property rights
   Bezabih M., 2014, The Land Certification Program and Off-Farm Employment in Ethiopia
   Brown KH, 2000, J PUBLIC HEALTH POL, V21, P20, DOI 10.2307/3343472
   Cao YM, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104736
   Carter MR, 2003, AM J AGR ECON, V85, P173, DOI 10.1111/1467-8276.00111
   Chen F., 2015, Economic Research Journal, V50, P163, DOI DOI 10.1016/J.JECONOM.2015.07.001
   Chen H., 2013, CHINA RURAL EC, V11, P12
   Chen J., 2003, CHINA POPUL RESOUR E, V5, P51
   [陈秧分 Chen Yangfen], 2010, [自然资源学报, Journal of Natural Resources], V25, P368
   Cheng Lingguo., 2016, Management World, V1, P88
   Cheng T, 1999, RESOUR SCI, V21, P39
   De la Sota C, 2019, URBAN FOR URBAN GREE, V40, P145, DOI 10.1016/j.ufug.2018.09.004
   de Zeeuw H, 2011, J AGR SCI-CAMBRIDGE, V149, P153, DOI 10.1017/S0021859610001279
   [邓楚雄 Deng Chuxiong], 2010, [自然资源学报, Journal of Natural Resources], V25, P1577
   Dubbeling M., 2019, Field Actions Science Reports, V27, P32
   Durand-Lasserve A, 2009, URBAN LAND MARKETS: IMPROVING LAND MANAGEMENT FOR SUCCESSFUL URBANIZATION, P101, DOI 10.1007/978-1-4020-8862-9_5
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Galiani S., 2011, Journal of Law and Economics, V54, pS329, DOI 10.1086/661957
   Galiani S, 2010, J PUBLIC ECON, V94, P700, DOI 10.1016/j.jpubeco.2010.06.002
   Gao CL, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104609
   Gerezihar K., 2014, J LAND RURAL STUD, V2, P249, DOI [10.1177/2321024914534046, DOI 10.1177/2321024914534046]
   Gulyas BZ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031465
   Han J., 2019, POPUL EC, V5, P41
   Hong W., 2019, FINANCE TRADE RES, V30, P60
   Hu X., 2019, AGR TECHNOL EC, V11, P4
   Huang J.K., 2012, MANAGE WORLD WASTE, DOI DOI 10.19744/J.CNKI.11-1235/F.2012.09.007
   [黄姣 Huang Jiao], 2018, [资源科学, Resources Science], V40, P664
   Hui X., 2013, AGR EC ISSUES, V34, P110
   Inwood S, 2017, J RURAL STUD, V54, P1, DOI 10.1016/j.jrurstud.2017.05.009
   Johannesburg Metropolitan Council, 2012, CIT NON GO HUNGR OP
   Klimach A, 2018, LAND USE POLICY, V79, P547, DOI 10.1016/j.landusepol.2018.09.003
   Langemeyer J, 2021, LANDSCAPE URBAN PLAN, V210, DOI 10.1016/j.landurbplan.2021.104055
   Li JR, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105763
   Li JT, 2019, SOCIO-ECON PLAN SCI, V67, P69, DOI 10.1016/j.seps.2018.09.004
   Li JL, 2020, ENVIRON ENG MANAG J, V19, P113
   Li T., 2015, MANAGE WORLD WASTE, V07, P54
   Lin W., 2017, AGR TECHNOL EC, V12, P4
   [刘彦随 LIU Yansui], 2009, [地理学报, Acta Geographica Sinica], V64, P1193
   Lu H, 2019, J ENVIRON MANAGE, V251, DOI 10.1016/j.jenvman.2019.109621
   Luo B., 2017, EC RES J, V52, P178
   Luo B., 2020, RURAL EC, V1, P1
   Lwasa S, 2014, URBAN CLIM, V7, P92, DOI 10.1016/j.uclim.2013.10.007
   Malan N, 2015, AGREKON, V54, P51, DOI 10.1080/03031853.2015.1072997
   Marshall F., 2016, RISKS RESPONSES URBA
   Marshall F., 2017, India's peri-urban frontier: rural-urban transformations and food security
   Mendes W, 2008, J AM PLANN ASSOC, V74, P435, DOI 10.1080/01944360802354923
   Mougeot L. J. A., 2000, Growing cities, growing food: urban agriculture on the policy agenda. A reader on urban agriculture, P1
   Norris K, 2008, CONSERV LETT, V1, P2, DOI 10.1111/j.1755-263X.2008.00007.x
   Odewumi S G., 2013, Journal of Geography and Regional Planning, V6, P209, DOI DOI 10.5897/JGRP2013.0370
   Orsini F, 2013, AGRON SUSTAIN DEV, V33, P695, DOI 10.1007/s13593-013-0143-z
   Pearson LJ, 2010, INT J AGR SUSTAIN, V8, P7, DOI 10.3763/ijas.2009.0468
   Randhawa P, 2014, ENVIRON PLANN C, V32, P93, DOI 10.1068/c10204
   Redwood M., 2009, Agriculture in urban planning: Generating livelihoods and food security
   Skar SLG, 2020, BLUE-GREEN SYST, V2, P1, DOI 10.2166/bgs.2019.931
   Song Z, 2015, J JIANGXI U FINANCE, V6, P95
   Suchá L, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104739
   Tacoli C, 2018, EARTHSCAN READER RUR
   Tang S., 2017, HUM GEOGR, V32, P72
   Treiman D.J., 2012, QUANTITATIVE DATA AN
   United Nations Department of Economic and Social Affairs, 2018, 2018 REV WORLD URB P
   Dona CGW, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179609
   Wang J, 2018, LAND USE POLICY, V75, P375, DOI 10.1016/j.landusepol.2018.04.011
   Wang W., 2017, CHINA RURAL SURV, V6, P57
   Wang X., 2020, J QINGDAO AGR U SOC, V32, P1
   Wastfelt A, 2014, ATT BRUKA MEN INTE A
   Wästfelt A, 2018, LAND USE POLICY, V78, P447, DOI 10.1016/j.landusepol.2018.06.053
   Xu H., 2012, CHINA RURAL EC, V6, P31
   Xu Q., 2017, AGR TECHNOL EC, V5, P4, DOI DOI 10.13246/J.CNKI.JAE.2017.05.001
   Xu Q., 2022, RURAL EC, V4, P107
   Xu YT, 2018, LAND USE POLICY, V74, P73, DOI 10.1016/j.landusepol.2017.07.038
   Yang G., 2022, ECONOMICS, V22, P129
   [杨忍 Yang Ren], 2021, [地理科学, Scientia Geographica Sinica], V41, P232
   [叶剑平 Ye Jianping], 2010, [管理世界, Management World], P64
   Yoshida S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084316
   Yu J., 2012, SE ACAD RES, V4, P4, DOI DOI 10.13658/J.CNKI.SAR.2012.04.026
   Zhong W., 2013, AGR EC ISSUES, V34, P110
   Zhou Y, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104330
NR 82
TC 1
Z9 1
U1 5
U2 47
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2022
VL 14
IS 23
AR 15781
DI 10.3390/su142315781
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 6Y9UB
UT WOS:000897429900001
OA gold
DA 2025-04-22
ER

PT J
AU Zheng, JX
   Chen, X
   Kawaike, K
   Yamanoi, K
   Koshiba, T
   Huang, GR
AF Zheng, Jiaxuan
   Chen, Xi
   Kawaike, Kenji
   Yamanoi, Kazuki
   Koshiba, Takahiro
   Huang, Guoru
TI Response of urban flood resilience to climate change: An exploration
   with a novel performance-based metric considering the socioeconomic
   impacts of damage costs
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Urban flood resilience; Socioeconomic impacts; Climate change; Flooding
   damage costs; Performance-based
AB Climate change stimulates the emergence of floods and increases flood risk for communities, resulting in extensive casualties and economic loss. Thus, flood resilience has been the focus of much attention. Integrated and holistic metrics are important for an accurate urban flood resilience evaluation. However, performancebased metrics involving surface inundation do not consider the socioeconomic impacts of damage costs on the recovery ability of the urban systems. This hinders the investigation of climate change-induced effects on flood resilience. Therefore, this study proposed a performance-based resilience metric considering the negative impacts of flooding damage costs. The proposed metric was then piloted in a highly urbanized area in Osaka City, Japan to explore the responses of flood resilience to climate change. The results suggest that climate change exerts non-negligible pressure on the study area to maintain its economic characteristics during flooding. Rainfall intensity primarily affects the urban system's most unfavorable state, while the total amount and duration of rainfall mostly impact the relatively stable state following flooding. Climate change severity is positively linked to the reduction in overall flood resilience. Continued climate change will further expand the spatial coverage of flood resilience losses on a global scale. Furthermore, the negative impacts of economic losses on flood resilience are more noticeable during rainfall events with higher rainfall intensities. This study improves the comprehensiveness of performance-based flood resilience evaluations and provides a reference for the effective enhancement of urban flood resilience under climate change.
C1 [Zheng, Jiaxuan; Huang, Guoru] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China.
   [Zheng, Jiaxuan; Kawaike, Kenji; Yamanoi, Kazuki; Koshiba, Takahiro] Kyoto Univ, Disaster Prevent Res Inst, Kyoto 6128235, Japan.
   [Chen, Xi] Kyoto Univ, Dept Civil & Earth Resources Engn, Kyoto 6128235, Japan.
   [Huang, Guoru] South China Univ Technol, State Key Lab Subtrop Bldg & Urban Sci, Guangzhou 510640, Peoples R China.
   [Huang, Guoru] Guangdong Engn Technol Res Ctr Safety & Greenizat, Guangzhou 510640, Peoples R China.
C3 South China University of Technology; Kyoto University; Kyoto
   University; South China University of Technology
RP Huang, GR (corresponding author), South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China.
EM huanggr@scut.edu.cn
RI Zheng, Jiaxuan/LZI-0921-2025; Koshiba, Takahiro/KRP-1438-2024
OI Zheng, Jiaxuan/0000-0003-1836-6249
FU National Natural Science Foundation of China [52279015]; State Key
   Laboratory of Subtropical Building and Urban Science [2023ZA01]
FX This work was supported by the National Natural Science Foundation of
   China [grant number 52279015] and the State Key Laboratory of
   Subtropical Building and Urban Science [grant number 2023ZA01] .
CR Akiyama J., 2012, J. Japan Soc. Civ. Eng. Ser. B1 (hydraulic Eng., V68, pI 1063, DOI [10.2208/jscejhe.68.I1063, DOI 10.2208/JSCEJHE.68.I1063]
   Baek HJ, 2013, ASIA-PAC J ATMOS SCI, V49, P603, DOI 10.1007/s13143-013-0053-7
   Ballesteros LMS, 2023, INT J DISAST RISK RE, V84, DOI 10.1016/j.ijdrr.2022.103476
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Chen JL, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126601
   Chen WJ, 2018, J HYDROL, V564, P1022, DOI 10.1016/j.jhydrol.2018.07.069
   Chen XL, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143144
   Dahm R, 2014, NATURE, V516, P329, DOI 10.1038/516329d
   Department of Civil Engineering K.P., 2020, The situation of disasters caused by heavy rain in July 2020 Fast Facts
   Disse M., 2020, Water Security, V9, P54, DOI 10.1016/j.wasec.2020.100059
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Fernández-Nóvoa D, 2022, NAT HAZARD EARTH SYS, V22, P3957, DOI 10.5194/nhess-22-3957-2022
   Fujita M, 2019, GEOPHYS RES LETT, V46, P435, DOI 10.1029/2018GL079885
   Gent PR, 2011, J CLIMATE, V24, P4973, DOI 10.1175/2011JCLI4083.1
   Griffies SM, 2011, J CLIMATE, V24, P3520, DOI 10.1175/2011JCLI3964.1
   Haer T, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.102009
   Haque MM, 2022, INT J DISAST RISK RE, V72, DOI 10.1016/j.ijdrr.2022.102861
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, ENG ECOLOGICAL CONST, P1
   Huang G., 2019, Guangzhou. Adv. Water Sci., V30, P643, DOI [10.14042/j.cnki.32.1309.2019.05.004, DOI 10.14042/J.CNKI.32.1309.2019.05.004]
   [黄国如 Huang Guoru], 2021, [水科学进展, Advances in Water Science], V32, P161
   Ishii M, 2020, PROG EARTH PLANET SC, V7, DOI 10.1186/s40645-020-00367-7
   Ishikawa N, 2016, INT CONF OPTIC MEMS
   Kawaike K., 2019, J. Nat. Disaster Sci., V39, P49, DOI [10.2328/jnds.39.49, DOI 10.2328/JNDS.39.49]
   Kawaike K., 2018, J. Japan Soc. Civ. Eng. Ser. B1 (hydraulic Eng., V74, pI1537, DOI [10.2208/jscejhe.74.I1537, DOI 10.2208/JSCEJHE.74.I1537]
   Kawase H, 2018, J METEOROL SOC JPN, V96, P161, DOI 10.2151/jmsj.2018-022
   Ko D, 2018, J FLOOD RISK MANAG, V11, pS1125, DOI 10.1111/jfr3.12309
   Kobayashi S, 2015, J METEOROL SOC JPN, V93, P5, DOI 10.2151/jmsj.2015-001
   Kuang D, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.111025
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Lee S, 2016, J FLOOD RISK MANAG, V9, P224, DOI 10.1111/jfr3.12165
   Li N, 2017, 2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), P544, DOI 10.1109/ICCSS.2017.8091475
   Ma JW, 2024, COMMUN EARTH ENVIRON, V5, DOI 10.1038/s43247-024-01337-3
   Mavhura E, 2013, INT J DISAST RISK RE, V5, P38, DOI 10.1016/j.ijdrr.2013.07.001
   Ministry of Land Infrastructure Transport and Tourism, 2020, River Project Overview 2020
   Mizuta R, 2017, B AM METEOROL SOC, V98, P1383, DOI 10.1175/BAMS-D-16-0099.1
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Newman R, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-41888-1
   Osaka Prefectural Government, 2023, Offices and enterprises in Osaka-Economy census of activity survey in 2021
   Padulano R, 2021, J HYDROL, V602, DOI 10.1016/j.jhydrol.2021.126756
   Pal L, 2023, WATER RESOUR RES, V59, DOI 10.1029/2023WR034466
   Pickett STA, 2014, BUILD RES INF, V42, P143, DOI 10.1080/09613218.2014.850600
   Prashar N, 2023, PROG DISASTER SCI, V20, DOI 10.1016/j.pdisas.2023.100299
   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
   Saito Y., 2021, J. Japan Soc. Civ. Eng. Ser. B1 (hydraulic Eng., V77, P499, DOI [10.2208/jscejhe.77.2I499, DOI 10.2208/JSCEJHE.77.2I499]
   Sasai T, 2019, J GEOPHYS RES-ATMOS, V124, P13975, DOI 10.1029/2019JD030781
   Sasaki H, 2008, SOLA, V4, P25, DOI 10.2151/sola.2008-007
   Shi Y, 2018, ADV CLIM CHANG RES, V9, P192, DOI 10.1016/j.accre.2018.06.003
   SI-CAT DDS5TK team, 2022, SI-CAT DDS5TK FAQ
   [宋晓猛 Song Xiaomeng], 2015, [水利学报, Journal of Hydraulic Engineering], V46, P525
   Tanoue M, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026092
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   United Nations Office for Disaster Risk Reduction, 2019, Making Cities Resilient (MCR) Campaign: Comparing MCR and non-MCR cities
   Wallingford HR., 2006, Flood Hazard Research Centre, Middlesex University Risk Policy Analysts Ltd. Flood risks to people phase 2
   Wang GZ, 2017, NAT HAZARDS, V87, P1751, DOI 10.1007/s11069-017-2846-y
   Wang N, 2021, SCI TOTAL ENVIRON, V797, DOI 10.1016/j.scitotenv.2021.149036
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   Water and Disaster Management Bureau M., 2023, Flood Control Economic Survey Manual (Draft). Appraisal Unit Prices and Deflators for Various Assets
   Water and Disaster Management Bureau M., 2020, Flood Control Economic Survey
   Willner SN, 2018, NAT CLIM CHANGE, V8, P594, DOI 10.1038/s41558-018-0173-2
   [夏军强 Xia Junqiang], 2016, [同济大学学报. 自然科学版, Journal of Tongji University. Natural Science], V44, P262
   Xia JQ, 2014, NAT HAZARDS, V70, P1619, DOI 10.1007/s11069-013-0889-2
   Zhang L, 2019, HYDROL EARTH SYST SC, V23, P1649, DOI 10.5194/hess-23-1649-2019
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zheng JX, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128911
   Zou Q, 2013, STOCH ENV RES RISK A, V27, P525, DOI 10.1007/s00477-012-0598-5
NR 70
TC 1
Z9 1
U1 24
U2 24
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD DEC
PY 2024
VL 645
AR 132260
DI 10.1016/j.jhydrol.2024.132260
EA NOV 2024
PN B
PG 12
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA L4L6I
UT WOS:001350452900001
DA 2025-04-22
ER

PT J
AU Zhao, WT
   Wang, JG
   Xu, YH
   Chen, SB
   Zhang, JW
   Tang, SQ
   Wang, GJ
AF Zhao, Wutao
   Wang, Jianguo
   Xu, Yuanhao
   Chen, Shengbo
   Zhang, Jiawang
   Tang, Siqi
   Wang, Guojian
TI Community Resilience Assessment and Identification of Barriers in the
   Context of Population Aging: A Case Study of Changchun City, China
SO SUSTAINABILITY
LA English
DT Article
DE aging; disaster reduction capacity; community resilience; Changchun city
ID DISASTER-RESILIENCE; FRAMEWORK; FLOOD; MODEL
AB As a susceptible demographic, elderly individuals are more prone to risks during sudden disasters. With the exacerbation of aging, new challenges arise for urban disaster reduction and prevention. To address this, the key is to establish a community-scale resilience assessment framework based on the aging background and to summarize factors that influence the resilience level of communities. This approach is a crucial step towards seeking urban disaster prevention and reduction from the bottom up, and serves as an important link to enhance the capacity of urban disaster reduction. This paper explores community resilience evaluation indicators under the background of aging, builds a community resilience evaluation index system based on the Pressure-State-Response, uses the entropy weight method to weigh the indicators, and carries out a resilience evaluation of 507 communities in the main urban area of Changchun. The empirical results indicate significant spatial differentiation of community resilience in the main urban area of Changchun. Moreover, the regional development is unbalanced, showing a spatial distribution pattern of weakness in the middle and strength in the periphery. The ring road network highlights the difference between the new and old urban areas. The high contribution indexes of community resilience in the main urban area of Changchun were concentrated on disaster relief materials input, community self-rescue ability, and disaster cognition ability. Finally, strategies to improve community resilience are proposed from the perspectives of stress, state, and response, emphasizing community residents' participation, conducting disaster prevention and reduction training, and improving community response-ability.
C1 [Zhao, Wutao; Wang, Jianguo; Zhang, Jiawang; Tang, Siqi; Wang, Guojian] Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China.
   [Xu, Yuanhao] Changchun Univ Technol, Coll Publ Adm, Changchun 130012, Peoples R China.
   [Chen, Shengbo] Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130026, Peoples R China.
C3 Jilin University; Changchun University of Technology; Jilin University
RP Wang, JG (corresponding author), Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China.
EM wtzhao21@mails.jlu.edu.cn; wang_jg@jlu.edu.cn; 15382250050@163.com;
   chensb@jlu.edu.cn; jwzhang20@mails.jlu.edu.cn;
   tangsq21@mails.jlu.edu.cn; wanggj2219@mails.jlu.edu.cn
OI Zhang, Jiawang/0000-0001-8147-1258
FU Natural Disaster Risk Census Project in Jilin province [JLSZC202002826]
FX The authors gratefully acknowledge the support provided by the Natural
   Disaster Risk Census Project in Jilin province (JLSZC202002826).
CR Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Arbon P, 2014, AUST J EMERG MANAG, V29, P12
   Armijos MT, 2017, GLOBAL ENVIRON CHANG, V45, P217, DOI 10.1016/j.gloenvcha.2017.06.002
   Castleden M, 2011, J PUBLIC HEALTH-UK, V33, P369, DOI 10.1093/pubmed/fdr027
   Chen M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12062819
   Chen N, 2023, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.1033441
   Chen W, 2017, HUM ECOL RISK ASSESS, V23, P441, DOI 10.1080/10807039.2016.1185692
   Chen Yu, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20043496
   Cohen D, 2014, TOP GERIATR REHABIL, V30, P199, DOI 10.1097/TGR.0000000000000019
   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
   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
   Deng GQ, 2022, MATH PROBL ENG, V2022, DOI 10.1155/2022/5177379
   Esmaeili ED, 2022, J MED VIROL, V94, P2126, DOI 10.1002/jmv.27594
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Islam R, 2014, INT J DISAST RISK RE, V10, P281, DOI 10.1016/j.ijdrr.2014.09.016
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Jiang QB, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.998769
   Jovita HD, 2019, J HUM BEHAV SOC ENVI, V29, P519, DOI 10.1080/10911359.2018.1556143
   Kwan C, 2017, INT J DISAST RISK RE, V25, P259, DOI 10.1016/j.ijdrr.2017.09.010
   Lai SH, 2022, HUM ECOL RISK ASSESS, V28, P734, DOI 10.1080/10807039.2022.2081835
   Mayer B, 2019, CURR ENV HLTH REP, V6, P167, DOI 10.1007/s40572-019-00239-3
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Pendergrast C, 2021, AGEING SOC, V41, P2888, DOI 10.1017/S0144686X20000653
   Peng C., 2017, URBAN PLAN INT, V32, P60, DOI [10.22217/upi.2016.127, DOI 10.22217/UPI.2016.127]
   Peng KJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032702
   Pfefferbaum B, 2017, CLIN SOC WORK J, V45, P102, DOI 10.1007/s10615-015-0556-z
   Pfefferbaum RL, 2013, J PUBLIC HEALTH MAN, V19, P250, DOI 10.1097/PHH.0b013e318268aed8
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Salvati P, 2018, SCI TOTAL ENVIRON, V610, P867, DOI 10.1016/j.scitotenv.2017.08.064
   [申庆喜 Shen Qingxi], 2017, [经济地理, Economic Geography], V37, P129
   Smith SM, 2009, INT J EMERG MANAG, V6, P1, DOI 10.1504/IJEM.2009.025170
   Szewranski S, 2018, INTEGR ENVIRON ASSES, V14, P592, DOI 10.1002/ieam.4077
   [田俊峰 Tian Junfeng], 2018, [东北师大学报. 自然科学版, Journal of Northeast Normal University], V50, P124
   United Nations (UN), 2022, World Population Prospects
   Walker B, 2004, ECOL SOC, V9
   Wang Y., 2022, MEDS PUBLIC HLTH PRE, V2
   Yang M, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912294
   Yi FX, 2023, INT J ENV RES PUB HE, V20, DOI 10.3390/ijerph20010474
   Yoon DK, 2016, J ENVIRON PLANN MAN, V59, P436, DOI 10.1080/09640568.2015.1016142
   Zhao O., 2019, HUM GEOGR, V34, P97
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zheng Y.W.R., 2016, RESOUR DEV MARK, V32, P327
   Zhou R, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1133595
NR 48
TC 6
Z9 6
U1 19
U2 84
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR 26
PY 2023
VL 15
IS 9
AR 7185
DI 10.3390/su15097185
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 G1QO0
UT WOS:000986988100001
OA gold
DA 2025-04-22
ER

PT J
AU Fu, X
   Hopton, ME
   Wang, XH
AF Fu, Xin
   Hopton, Matthew E.
   Wang, Xinhao
TI Assessment of green infrastructure performance through an urban
   resilience lens
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Stormwater management; Green infrastructure; Assessment; Urban
   resilience; Planning support system
ID FUZZY COMPREHENSIVE EVALUATION; DECISION-SUPPORT; SUSTAINABLE CITIES;
   MANAGEMENT; SYSTEM; FRAMEWORK; PERSPECTIVE; ADAPTATION; RISK; SECURITY
AB Green infrastructure (GI) is widely recognized for reducing risk of flooding, improving water quality, and harvesting stormwater for potential future use. GI can be an important part of a strategy used in urban planning to enhance sustainable development and urban resilience. However, existing literature lacks a comprehensive assessment framework to evaluate GI performance in terms of promoting ecosystem functions and services for social-ecological system resilience. We propose a robust indicator set consisting of quantitative and qualitative measurements for a scenario-based planning support system to assess the capacity of urban resilience. Green Infrastructure in Urban Resilience Planning Support System (GIUR-PSS) supports decision-making for GI planning through scenario comparisons with the urban resilience capacity index. To demonstrate GIUR-PSS, we developed five scenarios for the Congress Run sub-watershed (Mill Creek watershed, Ohio, USA) to test common types of GI (rain barrels, rain gardens, detention basins, porous pavement, and open space). Results show the open space scenario achieves the overall highest performance (GI Urban Resilience Index = 4.27/5). To implement the open space scenario in our urban demonstration site, suitable vacant lots could be converted to greenspace (e.g., forest, detention basins, and low-impact recreation areas). GIUR-PSS is easy to replicate, customize, and apply to cities of different sizes to assess environmental, economic, and social benefits provided by different types of GI installations. Published by Elsevier Ltd.
C1 [Fu, Xin] Northwest A&F Univ, Coll Landscape Architecture & Arts, Yangling, Shaanxi, Peoples R China.
   [Hopton, Matthew E.] US EPA, Off Res & Dev, Cincinnati, OH 45268 USA.
   [Wang, Xinhao] Univ Cincinnati, Sch Planning, Cincinnati, OH USA.
C3 Northwest A&F University - China; United States Environmental Protection
   Agency; University System of Ohio; University of Cincinnati
RP Hopton, ME (corresponding author), US EPA, Off Res & Dev, Cincinnati, OH 45268 USA.
EM hopton.matthew@epa.gov
RI xinhao, wang/AAD-6547-2020; Hopton, Matthew/E-4464-2018
OI Hopton, Matthew/0000-0001-7962-6820; Fu, Xin/0000-0001-6155-0549
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Allen CR, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090844
   [Anonymous], 2005, RESILIENT CITY MODER
   [Anonymous], 2017, Sustainable Development Goal 11
   Bach P., 2015, 9 IWA S SYST AN INT, P1
   Bai LB, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101890
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Bennett EM, 2017, ECOSYSTEMS, V20, P31, DOI 10.1007/s10021-016-0049-0
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Boulange C, 2018, J TRANSP GEOGR, V69, P129, DOI 10.1016/j.jtrangeo.2018.04.017
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Calderón-Contreras R, 2017, ECOSYST SERV, V23, P127, DOI 10.1016/j.ecoser.2016.12.004
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Campbell LK, 2016, ENVIRON SCI POLICY, V62, P34, DOI 10.1016/j.envsci.2016.01.014
   Center for Neighborhood Technology, 2009, 6 30 NAT GREEEN VAL
   Chelleri L, 2015, HABITAT INT, V48, P122, DOI 10.1016/j.habitatint.2015.03.016
   Coates JF, 2016, TECHNOL FORECAST SOC, V113, P99, DOI 10.1016/j.techfore.2016.10.043
   Colten CE, 2008, ENVIRONMENT, V50, P36, DOI 10.3200/ENVT.50.5.36-47
   Comfort LK, 2005, ANNU REV POLIT SCI, V8, P335, DOI 10.1146/annurev.polisci.8.081404.075608
   Cox RS, 2015, AM BEHAV SCI, V59, P220, DOI 10.1177/0002764214550297
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   Deal B, 2017, COMPUT ENVIRON URBAN, V64, P91, DOI 10.1016/j.compenvurbsys.2017.01.004
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Dewitz Jon, 2019, USGS
   Dieleman H, 2013, J CLEAN PROD, V50, P171, DOI 10.1016/j.jclepro.2012.11.027
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Ferreira AJD, 2013, ENRGY PROCED, V40, P6, DOI 10.1016/j.egypro.2013.08.002
   FHWA, 2012, SCEN PLANN GUID
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Flouri E, 2014, J ENVIRON PSYCHOL, V40, P179, DOI 10.1016/j.jenvp.2014.06.007
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Foster H., 1997, OZYMANDIAS PRINCIPLE
   Fu X, 2019, SCI TOTAL ENVIRON, V689, P1149, DOI 10.1016/j.scitotenv.2019.06.439
   Fu X, 2019, J ENVIRON MANAGE, V236, P571, DOI 10.1016/j.jenvman.2018.12.089
   Fu Xin, 2018, Environment Systems & Decisions, V38, P367, DOI 10.1007/s10669-018-9693-6
   Fu X, 2016, LANDSCAPE URBAN PLAN, V155, P79, DOI 10.1016/j.landurbplan.2016.06.012
   Gharibi H, 2012, J ENVIRON MANAGE, V112, P87, DOI 10.1016/j.jenvman.2012.07.007
   Gordon BL, 2018, J ENVIRON MANAGE, V223, P371, DOI 10.1016/j.jenvman.2018.06.029
   Han L, 2015, ENVIRON EARTH SCI, V73, P5185, DOI 10.1007/s12665-015-4324-8
   Hawken S, 2020, OPEN CITIES | OPEN DATA: COLLABORATIVE CITIES IN THE INFORMATION ERA, P1, DOI 10.1007/978-981-13-6605-5_1
   HENDRY DF, 1988, OXFORD ECON PAP, V40, P132, DOI 10.1093/oxfordjournals.oep.a041841
   HOFFMAN RM, 1948, TEXT RES J, V18, P141, DOI 10.1177/004051754801800301
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hoover FA, 2020, URBAN FOR URBAN GREE, V54, DOI 10.1016/j.ufug.2020.126778
   Hoover FA, 2019, URBAN ECOSYST, V22, P1139, DOI 10.1007/s11252-019-00890-6
   Jim CY, 2015, LANDSCAPE URBAN PLAN, V138, P51, DOI 10.1016/j.landurbplan.2015.03.007
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Kim Y, 2017, CLIMATIC CHANGE, V145, P397, DOI 10.1007/s10584-017-2090-1
   Koc CB, 2017, URBAN ECOSYST, V20, P15, DOI 10.1007/s11252-016-0578-5
   Kousky C, 2013, ENVIRON SCI TECHNOL, V47, P3563, DOI 10.1021/es303938c
   Kremer P, 2015, ECOSYST SERV, V12, P149, DOI 10.1016/j.ecoser.2015.01.008
   Kuller M, 2017, ENVIRON MODELL SOFTW, V96, P265, DOI 10.1016/j.envsoft.2017.07.003
   Lafortezza R, 2013, IFOREST, V6, P102, DOI 10.3832/ifor0723-006
   Larkin Sabrina, 2015, Environment Systems & Decisions, V35, P185, DOI 10.1007/s10669-015-9554-5
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li H, 2019, J CLEAN PROD, V219, P377, DOI 10.1016/j.jclepro.2019.02.080
   Li WJ, 2015, J LOSS PREVENT PROC, V35, P95, DOI 10.1016/j.jlp.2015.04.007
   Lin TP, 2013, BUILD ENVIRON, V59, P599, DOI 10.1016/j.buildenv.2012.10.005
   Ling TY, 2018, J CLEAN PROD, V182, P187, DOI 10.1016/j.jclepro.2017.12.207
   Loh HS, 2017, OCEAN COAST MANAGE, V148, P53, DOI 10.1016/j.ocecoaman.2017.07.017
   Makropoulos CK, 2008, ENVIRON MODELL SOFTW, V23, P1448, DOI 10.1016/j.envsoft.2008.04.010
   Makropoulos CK, 2003, J WATER RES PLAN MAN, V129, P69, DOI 10.1061/(ASCE)0733-9496(2003)129:1(69)
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   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
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Millennium Ecosystem Assessment, 2005, Millennium Ecosystem Assessment
   Mu E., 2017, Springer Brief in Operations Research, DOI [DOI 10.1007/978-3-319-33861-3, DOI 10.1007/978-3-319-33861-3_2]
   Nordman EE, 2018, J CLEAN PROD, V200, P501, DOI 10.1016/j.jclepro.2018.07.152
   O'Sullivan AD, 2015, J ENVIRON MANAGE, V149, P236, DOI 10.1016/j.jenvman.2014.10.025
   Pakzad P, 2016, PROCD SOC BEHV, V216, P68, DOI 10.1016/j.sbspro.2015.12.009
   Pelling M., 2003, VULNERABILITY CITIES
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pettit C., 2018, City, Culture and Society, V12, P13, DOI [10.1016/J.CCS.2017.10.002, DOI 10.1016/J.CCS.2017.10.002, 10.1016/j.ccs.2017.10.002]
   Pettit CJ, 2019, ENVIRON PLAN B-URBAN, V46, P1387, DOI 10.1177/2399808318812887
   Phillis YA, 2017, COMPUT ENVIRON URBAN, V64, P254, DOI 10.1016/j.compenvurbsys.2017.03.002
   Pislaru M, 2019, J CLEAN PROD, V223, P998, DOI 10.1016/j.jclepro.2019.03.130
   Rajak S, 2016, ECOL INDIC, V71, P503, DOI 10.1016/j.ecolind.2016.07.031
   Saaty T.L., 2012, Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, V3rd ed.
   Sample DJ, 2001, J WATER RES PL-ASCE, V127, P155, DOI 10.1061/(ASCE)0733-9496(2001)127:3(155)
   Schueler Tom., 2007, Urban Stormwater Retrofit Practices Version 1.0
   Shafieezadeh A, 2014, RELIAB ENG SYST SAFE, V132, P207, DOI 10.1016/j.ress.2014.07.021
   Shi Y., 2012, VALUE ENG, V31, P95
   Sierra LA, 2018, J CLEAN PROD, V187, P496, DOI 10.1016/j.jclepro.2018.03.022
   Simic I, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071183
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sun WB, 2019, GEOTECH GEOL ENG, V37, P1135, DOI 10.1007/s10706-018-0673-x
   Thornbush M, 2013, SUSTAIN CITIES SOC, V9, P1, DOI 10.1016/j.scs.2013.01.003
   Tiwary A, 2014, SCI TOTAL ENVIRON, V487, P350, DOI 10.1016/j.scitotenv.2014.03.032
   Tong Z., 2016, The Open Civil Engineering Journal, V10, DOI DOI 10.2174/1874149501610010200
   U.S.EPA, 2004, STORMW BEST MAN
   United Nations, 2024, Sustainable development goals: Take action for the sustainable development goals
   United Nations, 2018, UN SUST DEV GOALS RE
   Vandermeulen V, 2011, LANDSCAPE URBAN PLAN, V103, P198, DOI 10.1016/j.landurbplan.2011.07.010
   Vanegas C., 2011, WEBINARS FORECASTING
   Varum CA, 2010, FUTURES, V42, P355, DOI 10.1016/j.futures.2009.11.021
   Venturelli RC, 2006, ECOL INDIC, V6, P228, DOI 10.1016/j.ecolind.2005.08.023
   Vineyard D, 2015, J AM WATER RESOUR AS, V51, P1342, DOI 10.1111/1752-1688.12320
   Wang Y, 2015, OCEAN ENG, V107, P54, DOI 10.1016/j.oceaneng.2015.07.032
   Wang YS, 2017, HABITAT INT, V66, P163, DOI 10.1016/j.habitatint.2017.06.003
   Wu Qi-hong, 2010, Journal of Central South University (Science and Technology), V41, P661
   Yang WC, 2018, J ENVIRON MANAGE, V213, P440, DOI 10.1016/j.jenvman.2018.02.085
   Yang WW, 2013, APPL MECH MATER, V438-439, P1674, DOI 10.4028/www.scientific.net/AMM.438-439.1674
   Zawadzka JE, 2017, ECOL INDIC, V78, P75, DOI 10.1016/j.ecolind.2017.03.005
   Zhao CR, 2014, SUSTAINABILITY-BASEL, V6, P2281, DOI 10.3390/su6042281
NR 105
TC 54
Z9 60
U1 34
U2 333
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD MAR 20
PY 2021
VL 289
AR 125146
DI 10.1016/j.jclepro.2020.125146
EA FEB 2021
PG 11
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 QK3IC
UT WOS:000620273200010
PM 33746371
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Liu, SH
   Wei, HT
   He, JQ
   Guo, HL
   Gong, XY
AF Liu, Shihao
   Wei, Haitao
   He, Jiaqing
   Guo, Hengliang
   Gong, Xiyun
TI Assessment of urban population health resilience guided by
   cardiovascular and cerebrovascular diseases: A case study of Henan
   Province
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Urban population health resilience; Vulnerability; Comprehensive
   evaluation; Henan Province
ID SPATIAL DIFFERENTIATION; DISASTER RESILIENCE; VULNERABILITY; LEVEL; SO2
AB Resilience and vulnerability thinking are commonly used to study urban systems, but few apply both to urban population health research. Therefore, this study aims to evaluate urban population health resilience (UPHR) from both positive and negative perspectives by combining resilience and vulnerability thinking, and to explore the current situation and influencing factors of UPHR. We constructed a comprehensive resilience index and a relative vulnerability index for urban population health by using a socio-economic-demographic-environmental complex system (SEDECE) and a pressure-state-response (PSR) model. We used a combination of four methods, including entropy weight method (EWM), the criteria importance through intercriteria correlation (CRITIC), simple additive weighting (SAW), and technique for order preference by similarity to an ideal solution (TOPSIS), to ensure the robustness of the indices. Finally, the effectiveness and practicality of the index by studying the spatial relationship and correlation between the incidence of cardiovascular and cerebrovascular diseases (CCVD) and the index in 122 counties of Henan Province. The results show that the indicators and calculation methods are robust and effective, and the comprehensive resilience index and vulnerability index reflect the resilience of urban population health from positive and negative perspectives, respectively, and emphasize the important role of air quality in both indices. In addition, urbanization rate, health facilities, medical and social security, and the proportion of elderly population have a greater contribution to the comprehensive resilience index (CRI), and industrial structure has a greater impact on the relative vulnerability index (RVI). This study can provide reference for relevant regions to improve the resilience of their population health and reduce health pressure.
C1 [Liu, Shihao; Wei, Haitao; He, Jiaqing; Guo, Hengliang] Zhengzhou Univ, Sch Geosci & Technol, Zhengzhou 450000, Peoples R China.
   [Liu, Shihao; Wei, Haitao; He, Jiaqing] Chinese Acad Meteorol Sci, Zhengzhou Univ, Joint Lab Eco Meteorol, Zhengzhou 450000, Peoples R China.
   [Guo, Hengliang] Zhengzhou Univ, Henan Prov Supercomp Ctr, Zhengzhou, Henan, Peoples R China.
   [Gong, Xiyun] Zhengzhou Univ, Affiliated Hosp 1, Dept Emergency Med, Zhengzhou 450001, Henan, Peoples R China.
   [Wei, Haitao] Zhengzhou Univ, Zhengzhou 450000, Henan, Peoples R China.
C3 Zhengzhou University; Zhengzhou University; China Meteorological
   Administration; Chinese Academy of Meteorological Sciences (CAMS);
   Zhengzhou University; Zhengzhou University; Zhengzhou University
RP Wei, HT (corresponding author), Zhengzhou Univ, Zhengzhou 450000, Henan, Peoples R China.
EM zzu_wei@163.com; jiaqing_he@gs.zzu.edu.cn; guohengliang@zzu.edu.cn
RI guo, hengliang/JDC-8381-2023
CR Adger WN, 2009, FRONT ECOL ENVIRON, V7, P150, DOI 10.1890/070148
   Agarwal NK, 2017, MED SCI, V21, P270, DOI 10.1161/CIR.0b013e3181dbece1
   Angeon V, 2015, WORLD DEV, V72, P140, DOI 10.1016/j.worlddev.2015.02.011
   Arbon P, 2016, INT J DISASTER RESIL, V7, P201, DOI 10.1108/IJDRBE-03-2015-0008
   Asch SM, 2005, PUBLIC HEALTH REP, V120, P532, DOI 10.1177/003335490512000508
   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
   Burwell-Naney K, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16081466
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Chen J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102892
   Chen JH, 2020, GEOHEALTH, V4, DOI 10.1029/2020GH000248
   Chen M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12062819
   CHEN SJ, 1992, LECT NOTES ECON MATH, V375, P1
   Chen WW, 2017, J GERIATR CARDIOL, V14, P1, DOI 10.11909/j.issn.1671-5411.2017.01.012
   Chen Yaya, 2022, Figshare
   Chen YY, 2022, AM J CLIN NUTR, V116, P920, DOI 10.1093/ajcn/nqac199
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   DIAKOULAKI D, 1995, COMPUT OPER RES, V22, P763, DOI 10.1016/0305-0548(94)00059-H
   Domínguez-Ares E, 2020, ENVIRON IMPACT ASSES, V85, DOI 10.1016/j.eiar.2020.106445
   Fang CL, 2016, J GEOGR SCI, V26, P153, DOI 10.1007/s11442-016-1260-9
   Fekete A, 2018, INT J DISAST RISK RE, V31, P203, DOI 10.1016/j.ijdrr.2018.05.004
   Feng Z., 2022, Evaluation of the Sustainable Development of the Social-Economic-Natural Compound Ecosystem in the Guangdong-Hong KongMacao Greater Bay Area Urban Agglomeration (China): Based on Complex Network Analysis
   Frazier TG, 2020, APPL GEOGR, V125, DOI [10.1016/j.apgeog.2020.102365, 10.1016/j.apgeog.102365]
   Gong P, 2020, SCI BULL, V65, P182, DOI 10.1016/j.scib.2019.12.007
   Guiasu S., 1971, Reports on Mathematical Physics, V2, P165, DOI 10.1016/0034-4877(71)90002-4
   He D, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.987396
   Hu JJ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18137094
   Jiang J, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610407
   Jin CL, 2022, WATER-SUI, V14, DOI 10.3390/w14172621
   Kelman I, 2016, NAT HAZARDS, V82, pS129, DOI 10.1007/s11069-016-2294-0
   Khalilzadeh J, 2017, TOURISM MANAGE, V62, P89, DOI 10.1016/j.tourman.2017.03.026
   Khaltaev Nikolai, 2022, Chronic Dis Transl Med, V8, P296, DOI 10.1002/cdt3.34
   Le Couteur DG, 2022, J GERONTOL A-BIOL, V77, P2168, DOI 10.1093/gerona/glac039
   Li D, 2023, ENVIRON IMPACT ASSES, V98, DOI 10.1016/j.eiar.2022.106954
   Li RJ, 2007, ARCH TOXICOL, V81, P867, DOI 10.1007/s00204-007-0212-7
   Li WL, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.108000
   Lieberman G.J., 2001, Introduction to Operation Research
   Lindstrom B., 2010, A Salutogenic Approach to Tackling Health Inequalities
   Liu J, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108655
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Ma LY, 2020, J GERIATR CARDIOL, V17, P1, DOI 10.11909/j.issn.1671-5411.2020.01.001
   Manisalidis I, 2020, FRONT PUBLIC HEALTH, V8, DOI 10.3389/fpubh.2020.00014
   Moghim S, 2019, J ENVIRON MANAGE, V230, P345, DOI 10.1016/j.jenvman.2018.09.090
   Murray CJL, 2020, LANCET, V396, P1223, DOI [10.1016/S0140-6736(20)30752-2, 10.1016/S0140-6736(20)30925-9]
   Neri AC, 2016, J CLEAN PROD, V126, P288, DOI 10.1016/j.jclepro.2016.02.134
   Nunes AR, 2020, INT J ENVIRON HEAL R, V30, P515, DOI 10.1080/09603123.2019.1609655
   Parsons M., 2021, Disaster Resilience in Australia: A Geographic Assessment Using an Index of Coping and Adaptive Capacity
   Rogers P, 2015, RESILIENCE, V3, P55, DOI 10.1080/21693293.2014.988914
   Rostang O., 2021, Promoting Resilient and Healthy Cities for Everyone in an Urban Planning Context by Assessing Green Area Accessibility
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Sajjad M, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102850
   SHANNON CE, 1948, BELL SYST TECH J, V27, P623, DOI 10.1002/j.1538-7305.1948.tb00917.x
   Shaofang Li, 2022, Disease Surveillance, V37, P895, DOI 10.3784/jbjc.202204210169
   Shim JH, 2015, SUSTAINABILITY-BASEL, V7, P14153, DOI 10.3390/su71014153
   Srour B, 2019, BMJ-BRIT MED J, V365, DOI 10.1136/bmj.l1451
   Stein KV, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19052679
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Tai XL, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120969
   Tang D., 2023, Sustain. Cities Soc, V96
   Tapia C, 2017, ECOL INDIC, V78, P142, DOI 10.1016/j.ecolind.2017.02.040
   Thanvisitthpon N, 2020, ENVIRON IMPACT ASSES, V81, DOI 10.1016/j.eiar.2019.106363
   [童磊 Tong Lei], 2020, [地理科学, Scientia Geographica Sinica], V40, P1293
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wang L, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104048
   Wang MQ, 2021, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.615152
   Wang Qing, 2021, Environ Int, V156, P106742, DOI 10.1016/j.envint.2021.106742
   Wang YA, 2022, FRONT IMMUNOL, V13, DOI 10.3389/fimmu.2022.942796
   Wei J, 2023, ATMOS CHEM PHYS, V23, P1511, DOI 10.5194/acp-23-1511-2023
   Wei J, 2022, REMOTE SENS ENVIRON, V270, DOI 10.1016/j.rse.2021.112775
   Wei J, 2020, ATMOS CHEM PHYS, V20, P3273, DOI 10.5194/acp-20-3273-2020
   Wen RK, 2022, HUM ECOL RISK ASSESS, V28, P354, DOI 10.1080/10807039.2022.2053354
   World Health Organization, 2020, World Health Statistics 2020: Monitoring Health for the SDGs, Sustainable Development Goals, DOI [10.1017/ CBO9781107415324.004, DOI 10.1017/CBO9781107415324.004]
   Wulff K, 2015, ANNU REV PUBL HEALTH, V36, P361, DOI 10.1146/annurev-publhealth-031914-122829
   Xiao S, 2023, SCI TOTAL ENVIRON, V866, DOI 10.1016/j.scitotenv.2022.161321
   Yang YY, 2020, ECOL SOC, V25, DOI 10.5751/ES-11464-250205
   Yoo EH, 2022, ENVIRON RES, V204, DOI 10.1016/j.envres.2021.112292
   Zanakis SH, 1998, EUR J OPER RES, V107, P507, DOI 10.1016/S0377-2217(97)00147-1
   Zhang DF, 2020, ENVIRON IMPACT ASSES, V83, DOI 10.1016/j.eiar.2020.106397
   Zhang S, 2019, J NATL MED ASSOC, V111, P447, DOI 10.1016/j.jnma.2019.02.004
   Zhao R, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102106
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
NR 81
TC 3
Z9 4
U1 6
U2 33
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 NOV
PY 2023
VL 103
AR 107248
DI 10.1016/j.eiar.2023.107248
EA AUG 2023
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Q6GF2
UT WOS:001058479300001
DA 2025-04-22
ER

PT J
AU Landry, F
   Dupras, J
   Messier, C
AF Landry, Felix
   Dupras, Jerome
   Messier, Christian
TI Convergence of urban forest and socio-economic indicators of resilience:
   A study of environmental inequality in four major cities in eastern
   Canada
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
ID MULTIPLE ECOSYSTEM SERVICES; GREEN SPACE; SPATIAL-DISTRIBUTION; TREE
   DIVERSITY; STREET TREES; INNER-CITY; BIODIVERSITY; VEGETATION; JUSTICE;
   CONNECTIONS
AB Environmental inequality is a phenomenon drawing much attention in the scientific and policy-making debates about urban forests and city greening. Most studies on the subject have shown that socially vulnerable, multicultural neighborhoods are disproportionately affected by the lack of urban forest while richer neighborhoods tend to be greener. But are there differences in the resilience of urban forests between poor and rich neighborhoods? We tackled this question using a newly developed indicator of urban forest resilience, functional diversity, to determine if environmental injustice is also found in the resilience of urban forests in poor neighborhoods. Using Canadian census data at the census tract scale, Sentinel-2 satellite imagery and urban tree inventories, this study investigated if urban forest resilience is also part of the environmental inequality phenomenon in four urban areas in eastern Canada: Toronto, Gatineau-Ottawa, Montreal and Quebec City. Multivariate analysis of the dataset shows that urban forest functional diversity, used as an indicator of resilience, is inversely correlated to a set of variables associated with social vulnerability. The same relationship also exists with canopy cover; a pattern of inequality found in many cities around the world. With these findings, we show that social vulnerability and urban forest resilience are intertwined, meaning that neighborhoods already lacking urban forest are also more at risk of losing it due to a sudden environmental disturbance. When confronted with global change, considering this new insight into urban environmental inequality could be of great importance for maintaining a comfortable living environment for every city-dweller.
C1 [Landry, Felix; Dupras, Jerome; Messier, Christian] Univ Quebec Outaouais, Inst Sci Foret Temperee, 58 Rue Principale, Ripon, PQ J0V 1V0, Canada.
   [Messier, Christian] Univ Quebec Montreal, Dept Sci Biol, Montreal, PQ, Canada.
C3 University of Quebec; University Quebec Outaouais; University of Quebec;
   University of Quebec Montreal
RP Landry, F (corresponding author), Univ Quebec Outaouais, Inst Sci Foret Temperee, 58 Rue Principale, Ripon, PQ J0V 1V0, Canada.
EM lorf02@uqo.ca; Jerome.dupras@uqo.ca; messier.christian@uqam.ca
FU Fonds de Recherche du Quebec [2019-AUDC-262928]; Social Sciences and
   Humanities Research Council of Canada; Canada Research Chair in
   Ecological Economics
FX This work is funded by the Fonds de Recherche du Quebec
   (2019-AUDC-262928), the Social Sciences and Humanities Research Council
   of Canada Doctoral Fellowships program, and the Canada Research Chair in
   Ecological Economics.
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
   Alexander C., 2014, VALUE URBAN FORESTS
   Anguelovski I, 2018, URBAN GEOGR, V39, P458, DOI 10.1080/02723638.2017.1349987
   Annerstedt M, 2012, BMC PUBLIC HEALTH, V12, DOI 10.1186/1471-2458-12-337
   [Anonymous], 2006, RENEWABLE RESOURCES
   Arnberger A, 2012, URBAN FOR URBAN GREE, V11, P41, DOI 10.1016/j.ufug.2011.11.003
   Berland A, 2014, LANDSCAPE ECOL, V29, P141, DOI 10.1007/s10980-013-9953-2
   Bissonnette JF, 2018, CITIES, V81, P61, DOI 10.1016/j.cities.2018.03.014
   Caro D.H., 2012, IeRI Monograph Series: Issues and Methodologies in Large Scale Assessments, V1, P9, DOI DOI 10.1787/9789264091504-EN
   Carrus G, 2015, LANDSCAPE URBAN PLAN, V134, P221, DOI 10.1016/j.landurbplan.2014.10.022
   Chan E, 2015, BMC PUBLIC HEALTH, V15, DOI 10.1186/s12889-015-1992-y
   Congedo L., 2016, Release 5.0.0.1, P29, DOI [DOI 10.13140/RG.2.2.29474.02242/1, 10.13140/RG.2.2.29474.02242/1]
   Crompton J.L., 2005, MANAGING LEISURE, V10, P203, DOI DOI 10.1080/13606710500348060
   Dallimer M, 2012, BIOSCIENCE, V62, P47, DOI 10.1525/bio.2012.62.1.9
   Des Rosiers F., 2002, J REAL ESTATE RES, V23, P140
   Díaz S, 2001, TRENDS ECOL EVOL, V16, P646, DOI 10.1016/S0169-5347(01)02283-2
   Dobbs C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113000
   Dobbs C, 2014, ECOL INDIC, V43, P44, DOI 10.1016/j.ecolind.2014.02.007
   Dobbs C, 2011, LANDSCAPE URBAN PLAN, V99, P196, DOI 10.1016/j.landurbplan.2010.11.004
   Donovan GH, 2010, LANDSCAPE URBAN PLAN, V94, P77, DOI 10.1016/j.landurbplan.2009.07.019
   Dupras J, 2015, CAN GEOGR-GEOGR CAN, V59, P93, DOI 10.1111/cag.12138
   Dupras J, 2015, J ENVIRON POL PLAN, V17, P180, DOI 10.1080/1523908X.2014.927755
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Escobedo FJ, 2009, LANDSCAPE URBAN PLAN, V90, P102, DOI 10.1016/j.landurbplan.2008.10.021
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Gamfeldt L, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2328
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Gotelli NJ, 2001, ECOL LETT, V4, P379, DOI 10.1046/j.1461-0248.2001.00230.x
   Gould K.A., 2012, The World in Brooklyn: Gentrification, Immigration, and Ethnic Politics in a Global City, V2, P113
   Gujarati DN, 2003, Basic econometrics
   Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0
   Heynen N, 2006, ENVIRON PLANN A, V38, P499, DOI 10.1068/a37365
   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
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Joassart-Marcelli P, 2010, ENVIRON PLANN A, V42, P1174, DOI 10.1068/a42198
   Jones N, 2017, FUTURE CITY, V7, P305, DOI 10.1007/978-3-319-50280-9_23
   Kabisch N, 2014, LANDSCAPE URBAN PLAN, V122, P129, DOI 10.1016/j.landurbplan.2013.11.016
   Kaplan R., 1983, Behavior and the natural environment., P127
   Kuo FE, 2001, ENVIRON BEHAV, V33, P343, DOI 10.1177/00139160121973025
   Landry SM, 2009, ENVIRON PLANN A, V41, P2651, DOI 10.1068/a41236
   Lange M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7707
   Laughlin DC, 2017, RESTOR ECOL, V25, pS135, DOI 10.1111/rec.12342
   Lovasi GS, 2011, J URBAN HEALTH, V88, P1143, DOI 10.1007/s11524-011-9604-3
   Majumdar S, 2011, URBAN FOR URBAN GREE, V10, P275, DOI 10.1016/j.ufug.2011.07.006
   Manes F, 2014, ANN BOT-COENOL PLANT, V4, P19, DOI 10.4462/annbotrm-11746
   Manes F, 2012, ECOL APPL, V22, P349, DOI 10.1890/11-0561.1
   Marshall I.B., 1999, A National Ecological Framework for Canada: Attribute Data
   McKenzie DJ, 2005, J POPUL ECON, V18, P229, DOI 10.1007/s00148-005-0224-7
   Mell IC, 2013, LOCAL ENVIRON, V18, P152, DOI 10.1080/13549839.2012.719019
   Messier C, 2019, FOR ECOSYST, V6, DOI 10.1186/s40663-019-0166-2
   Michelson H, 2013, J DEV STUD, V49, P917, DOI 10.1080/00220388.2013.785525
   Morales D.J., 1980, J ARBORICULT, V6, P305, DOI DOI 10.48044/JAUF.1980.074
   Nesbitt L, 2019, LANDSCAPE URBAN PLAN, V181, P51, DOI 10.1016/j.landurbplan.2018.08.007
   Nesbitt L, 2016, FORESTS, V7, DOI 10.3390/f7080162
   Niemela J, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P1, DOI 10.1093/acprof:oso/9780199563562.001.0001
   OKE TR, 1989, PHILOS T ROY SOC B, V324, P335, DOI 10.1098/rstb.1989.0051
   Oliver TH, 2015, TRENDS ECOL EVOL, V30, P673, DOI 10.1016/j.tree.2015.08.009
   Paquette A., 2016, REPENSER REBOISEMENT
   Paquette A, 2011, GLOBAL ECOL BIOGEOGR, V20, P170, DOI 10.1111/j.1466-8238.2010.00592.x
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Poumadère M, 2005, RISK ANAL, V25, P1483, DOI 10.1111/j.1539-6924.2005.00694.x
   Quijas S, 2010, BASIC APPL ECOL, V11, P582, DOI 10.1016/j.baae.2010.06.009
   Schwarz K, 2018, SUSTAIN CITIES SOC, V41, P816, DOI 10.1016/j.scs.2018.06.026
   Schwarz K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122051
   Smith JW, 2012, RURAL SOCIOL, V77, P380, DOI 10.1111/j.1549-0831.2012.00082.x
   Statistics Canada, 2018, TABL 17 10 0135 01 P
   Statistics Canada, 2012, CENS DICT CENS YEAR, DOI 98-301-X2011001
   Strohbach MW, 2009, ECOL SOC, V14
   Taylor MS, 2015, LANDSCAPE URBAN PLAN, V136, P174, DOI 10.1016/j.landurbplan.2014.12.005
   Pham TTH, 2012, LANDSCAPE URBAN PLAN, V107, P214, DOI 10.1016/j.landurbplan.2012.06.002
   Thompson I., 2009, FOREST RESILIENCE BI
   Troy A, 2008, LANDSCAPE URBAN PLAN, V87, P233, DOI 10.1016/j.landurbplan.2008.06.005
   Tyrväinen L, 2000, J ENVIRON ECON MANAG, V39, P205, DOI 10.1006/jeem.1999.1097
   Villeneuve PJ, 2012, ENVIRON RES, V115, P51, DOI 10.1016/j.envres.2012.03.003
   Vyas S, 2006, HEALTH POLICY PLANN, V21, P459, DOI 10.1093/heapol/czl029
   Walker B, 2004, ECOL SOC, V9
   Walton Jeffrey T., 2008, Arboriculture & Urban Forestry, V34, P334
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wolf K.L., 2007, Arborist News, V16, P34
   Yang Jun, 2005, Urban Forestry & Urban Greening, V3, P65, DOI 10.1016/j.ufug.2004.09.001
   Yi H, 2019, SCI TOTAL ENVIRON, V667, P234, DOI 10.1016/j.scitotenv.2019.02.130
NR 83
TC 17
Z9 18
U1 5
U2 75
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD OCT
PY 2020
VL 202
AR 103856
DI 10.1016/j.landurbplan.2020.103856
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 NN7WA
UT WOS:000568996500002
DA 2025-04-22
ER

PT J
AU Zhang, XJ
   Luo, Y
   Liu, YF
   Han, ZQ
   Wang, FF
AF Zhang, Xiaojun
   Luo, Yue
   Liu, Yifen
   Han, Ziqiang
   Wang, Fanfan
TI Resilience in urban, rural, and transitional communities: An empirical
   study in Guangdong, China
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Community resilience; Disasters; CCRAM-10; Transitional community; China
ID FAMILY RESILIENCE; DISASTER; URBANIZATION; FRAMEWORK; NETWORKS; CART;
   RISK
AB Increasing resilience at the community level is important for reducing the impact of disasters, particularly given the growing number of disaster events around the globe. Prior studies have paid more attention to the resilience of rural and urban communities, while a larger number of transitional communities have not received enough attention. Based on a survey in Guangdong Province, China, the 10-Item Conjoint Community Resiliency Assessment Measurement (CCRAM10) was employed to assess the perceived community resilience of seven community types in urban, rural, and transitional communities. Multiple linear regression was also conducted, to measure the influence of community types. The results show that transitional communities have the lowest level of resilience, while urban communities have the highest. Although differences in resilience exist among different community types, they all show a high level of collective efficacy. Urban and rural communities are strong predictors of community resilience, as are the following sociodemographic categories: being male, younger, married, more highly educated, and not religious. However, differences are found in the specific dimensions. The study also provides recommendations on how physical and social infrastructure could be used to promote community resilience.
C1 [Zhang, Xiaojun] Nanjing Univ, Sch Govt, Nanjing, Peoples R China.
   [Zhang, Xiaojun; Luo, Yue] Fuzhou Univ, Sch Econ & Management, Fuzhou, Peoples R China.
   [Liu, Yifen] South China Univ Technol, Sch Architecture, Guangzhou, Peoples R China.
   [Han, Ziqiang] Shandong Univ, Sch Polit Sci & Publ Adm, Qingdao, Peoples R China.
   [Wang, Fanfan] South China Univ Technol, Sch Publ Adm, Guangzhou, Peoples R China.
C3 Nanjing University; Fuzhou University; South China University of
   Technology; Shandong University; South China University of Technology
RP Wang, FF (corresponding author), South China Univ Technol, Sch Publ Adm, Guangzhou, Peoples R China.
EM xiaojun@fzu.edu.cn; 15229339471@163.com; yifenliu@163.com;
   ziqiang.han@sdu.edu.cn; pafinnfanfan@mail.scut.edu.cn
RI ; Han, Ziqiang/AAZ-3181-2021
OI Zhang, Xiaojun/0000-0003-4290-9629; Han, Ziqiang/0000-0003-0314-0570
FU Projects of the National Social Science Fund [22CZZ039]
FX This work was supported by the Projects of the National Social Science
   Fund (NO. 22CZZ039).
CR Abdul-Rahman M, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103060
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   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
   Alshehri SA, 2015, NAT HAZARDS, V78, P395, DOI 10.1007/s11069-015-1719-5
   Beggs JJ, 1996, RURAL SOCIOL, V61, P306
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bonanno GA, 2006, PSYCHOL SCI, V17, P181, DOI 10.1111/j.1467-9280.2006.01682.x
   Braun-Lewensohn O, 2021, WORLD J PSYCHIATR, V11, P864, DOI 10.5498/wjp.v11.i10.864
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Cafer A, 2019, COMMUNITY DEV, V50, P201, DOI 10.1080/15575330.2019.1575442
   Cheng Y, 2022, INT J PROD RES, V60, P595, DOI 10.1080/00207543.2021.1971789
   Christenson J.A., 1989, COMMUNITY DEV PERSPE
   Cohen O, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17207523
   Cohen O, 2017, TECHNOL FORECAST SOC, V121, P119, DOI 10.1016/j.techfore.2016.11.008
   Cohen O, 2013, TECHNOL FORECAST SOC, V80, P1732, DOI 10.1016/j.techfore.2012.12.009
   CROW GP, 1995, TIME SOC, V4, P147, DOI 10.1177/0961463X95004002001
   Cui K, 2019, INT J DISAST RISK SC, V10, P439, DOI 10.1007/s13753-019-00240-2
   Cui K, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15030407
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   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
   Drolet Julie., 2015, GENDER DEV, V23, P433, DOI [DOI 10.1080/13552074.2015.1096040, 10.1080/13552074.2015.1096040]
   Finklestein M, 2022, J FAM STUD, V28, P1023, DOI 10.1080/13229400.2020.1778504
   Greenhill J, 2009, RURAL SOC, V19, P318, DOI 10.5172/rsj.351.19.4.318
   Guo CL, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101744
   Kapucu N, 2013, RISK HAZARDS CRISIS, V4, P215, DOI 10.1002/rhc3.12043
   Kaye-Blake W, 2019, RURAL SOC, V28, P161, DOI 10.1080/10371656.2019.1658285
   Kimhi S, 2016, J HEALTH PSYCHOL, V21, P164, DOI 10.1177/1359105314524009
   Leykin D, 2013, AM J COMMUN PSYCHOL, V52, P313, DOI 10.1007/s10464-013-9596-0
   Long HL, 2011, APPL GEOGR, V31, P1094, DOI 10.1016/j.apgeog.2011.02.006
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Masten AS, 2012, ANNU REV PSYCHOL, V63, P227, DOI 10.1146/annurev-psych-120710-100356
   Maybery D, 2009, RURAL SOC, V19, P326, DOI 10.5172/rsj.351.19.4.326
   McManus P, 2012, J RURAL STUD, V28, P20, DOI 10.1016/j.jrurstud.2011.09.003
   Nguyen HL, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197896
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Patterson JM, 2002, J MARRIAGE FAM, V64, P349, DOI 10.1111/j.1741-3737.2002.00349.x
   Pavel A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093776
   Pfefferbaum RL, 2015, AM BEHAV SCI, V59, P181, DOI 10.1177/0002764214550295
   Pfefferbaum RL, 2013, J PUBLIC HEALTH MAN, V19, P250, DOI 10.1097/PHH.0b013e318268aed8
   Rapaport C, 2018, INT J DISAST RISK RE, V31, P470, DOI 10.1016/j.ijdrr.2018.05.020
   Ritchie LA, 2007, SOCIOL SPECTRUM, V27, P103, DOI 10.1080/02732170601001037
   Shapira S, 2021, ENVIRON SCI POLICY, V124, P135, DOI 10.1016/j.envsci.2021.06.006
   Shaw R., 2016, OXFORD RES ENCY NATU, DOI [10.1093/acrefore/9780199389407.013.47, DOI 10.1093/ACREFORE/9780199389407.013.47, 10.1093/ACREFORE/9780199389407.013.47]
   Shen Y, 2015, J TRANSP GEOGR, V47, P90, DOI 10.1016/j.jtrangeo.2015.06.014
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Tomba L, 2017, INT J URBAN REGIONAL, V41, P508, DOI 10.1111/1468-2427.12494
   Toseroni F, 2016, ENRGY PROCED, V95, P491, DOI 10.1016/j.egypro.2016.09.074
   U.S. Department Of Commerce National Institute of Standards and Technology, 2015, COMMUNITY RESILIENCE
   Ungar M, 2011, CHILD YOUTH SERV REV, V33, P1742, DOI 10.1016/j.childyouth.2011.04.027
   Ungar M, 2011, AM J ORTHOPSYCHIAT, V81, P1, DOI 10.1111/j.1939-0025.2010.01067.x
   United Nations Office for Disaster Risk Reduction (UNDRR), RESILIENCE-ABINGDON
   van Oostrum M, 2021, CITIES, V117, DOI 10.1016/j.cities.2021.103334
   Walsh F, 1996, FAM PROCESS, V35, P261, DOI 10.1111/j.1545-5300.1996.00261.x
   WELLMAN B, 1979, AM J SOCIOL, V84, P1201, DOI 10.1086/226906
   Wells M., 2009, Online Journal of Rural Nursing and Health Care, V10, DOI 10.14574/ojrnhc.v10i2.55
   Wilson GA, 2014, J ENVIRON PLANN MAN, V57, P1, DOI 10.1080/09640568.2012.741519
   Wirth L, 1938, AM J SOCIOL, V44, P1, DOI 10.1086/217913
   Woods DD, 2015, RELIAB ENG SYST SAFE, V141, P5, DOI 10.1016/j.ress.2015.03.018
   Yang B, 2020, J RURAL STUD, V80, P427, DOI 10.1016/j.jrurstud.2020.10.020
   Ye JZ, 2018, POPUL SPACE PLACE, V24, DOI 10.1002/psp.2128
   Yuan JJ, 2018, ENVIRON DEV, V28, P101, DOI 10.1016/j.envdev.2018.10.002
   Zhang YN, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102396
NR 64
TC 17
Z9 17
U1 22
U2 135
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 2023
VL 84
AR 103396
DI 10.1016/j.ijdrr.2022.103396
EA JAN 2023
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 8J7MU
UT WOS:000922596300001
DA 2025-04-22
ER

PT J
AU Zhang, QR
   Huang, T
   Xu, SJ
AF Zhang, Qiongrui
   Huang, Tao
   Xu, Songjun
TI Assessment of Urban Ecological Resilience Based on PSR Framework in the
   Pearl River Delta Urban Agglomeration, China
SO LAND
LA English
DT Article
DE PSR; urban ecological resilience; MR; DR; ER; Pearl River Delta urban
   agglomeration
ID SECURITY; SERVICES
AB Studying resilience provides an opportunity to address a range of urban environmental problems. However, existing studies pay little attention to urban ecological resilience (UER), and the system of assessing urban resilience pays little attention to the process attribute of resilience. This study focuses on UER and constructs an evaluation framework based on the pressure _state _response (PSR) framework. The 'pressure' indicator morphological resilience (MR) is evaluated using source _sink landscape theory. The 'state' indicator density resilience (DR) is evaluated using the ratio of ecological carrying capacity to ecological footprint. The 'response' indicator uses indicators of economic structure, vitality, and innovation for evaluation. We found that the MR and DR of the study area in 2020 showed a spatial layout of low in the central area and high in the peripheral areas, while the high-value ER area was in the central part. The average district and county MR was 1.44, DR was between 0.003 and 1.975, and ER was 0.32; overall, ER and MR are better in the study area, but DR is worse. The spatial layout of comprehensive UER was found to be low in the middle and high in the periphery of the study area. Some areas with low MR and DR have high UER, which verifies the compensation effect of ER on urban ecology. This study provides a new method for assessing UER, and the findings can provide useful information for urban planning.
C1 [Zhang, Qiongrui; Xu, Songjun] South China Normal Univ, Sch Geog, Guangzhou 510631, Peoples R China.
   [Huang, Tao] Chaohu Univ, Sch Tourism Management, Hefei 238024, Peoples R China.
C3 South China Normal University; Chaohu University
RP Xu, SJ (corresponding author), South China Normal Univ, Sch Geog, Guangzhou 510631, Peoples R China.
EM qiongrui_zhang@m.scnu.edu.cn; xusj@scnu.edu.cn
OI Zhang, Qiongrui/0000-0003-0787-2584
FU National Natural Science Foundation of China [41877411]
FX This research was funded by the National Natural Science Foundation of
   China, grant number 41877411.
CR Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   [Anonymous], 2021, Bureau of Statistics of Guangdong Province
   [Anonymous], 2019, SPEC REP PER CAP CON
   Chen C., 2015, University of Notre Dame global adaptation index country index technical report
   Chen D., 2019, THESIS HUAZHONA U SC
   [陈利顶 CHEN LiDing], 2006, [生态学报, Acta Ecologica Sinica], V26, P1444
   Chen LD, 2009, CHINESE GEOGR SCI, V19, P37, DOI 10.1007/s11769-009-0037-9
   Chen M.L., 2015, THESIS CHINESE ACAD
   Cheng HR, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150053
   Cui WJ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112092
   Fang C., 2019, World Reg. Stud, V28, P77, DOI DOI 10.3969/J.ISSN.1004-9479.2019.06.2018403
   [方创琳 Fang Chuanglin], 2021, [地理学报, Acta Geographica Sinica], V76, P2898
   Friend A. M., 1991, Ecological Economics, V3, P59, DOI 10.1016/0921-8009(91)90048-J
   Gao T.Y., 2019, THESIS CHANGAN U XIA
   Garg P., 2018, P INT C CONSTR REAL
   Guo Z.P., 2021, THESIS LANZHO U LANZ
   Hamel P, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.601136
   Hazbavi Z, 2020, LAND DEGRAD DEV, V31, P3, DOI 10.1002/ldr.3420
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Kouklis GR, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5020037
   Leal W, 2020, J CLEAN PROD, V262, DOI 10.1016/j.jclepro.2020.121338
   Li ZT, 2019, ECOL INDIC, V101, P595, DOI 10.1016/j.ecolind.2019.01.067
   Liu M.C., 2014, TEMPORAL DYNAMICS SP, P006
   Liu W, 2019, ECOL INDIC, V98, P228, DOI 10.1016/j.ecolind.2018.10.054
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Melo PC, 2009, REG SCI URBAN ECON, V39, P332, DOI 10.1016/j.regsciurbeco.2008.12.002
   Monfreda C, 2004, LAND USE POLICY, V21, P231, DOI 10.1016/j.landusepol.2003.10.009
   Mukhtarov S. - Mammadov., 2020, Research in World Economy, V11, P195, DOI DOI 10.5430/RWE.V11N1P195
   Rafael S, 2016, SCI TOTAL ENVIRON, V566, P1500, DOI 10.1016/j.scitotenv.2016.06.037
   Sahana M, 2022, REMOTE SENS APPL, V26, DOI 10.1016/j.rsase.2022.100754
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Sun J, 2018, ECOL INDIC, V94, P386, DOI 10.1016/j.ecolind.2018.07.011
   Wackernagel M., 1997, OUR ECOLOGICAL FOOTP, VVolume 19, P185
   Wan W, 2021, AGR WATER MANAGE, V252, DOI 10.1016/j.agwat.2021.106910
   Wang H, 2021, J URBAN MANAG, V10, P255, DOI 10.1016/j.jum.2021.06.006
   Wang KL, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0250798
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang T., 2022, J NATURAL SCI HUNAN, V45, P33
   WWF OPF Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences, 2020, GUANGD HONG KONG MAC
   [修春亮 Xiu Chunliang], 2018, [地理学报, Acta Geographica Sinica], V73, P2315
   [徐勇 Xu Yong], 2016, [地理学报, Acta Geographica Sinica], V71, P2129
   [Xue Qian 薛倩], 2017, [Journal of Resources and Ecology, 资源与生态学报], V8, P514
   Zafar MW, 2019, RESOUR POLICY, V63, DOI 10.1016/j.resourpol.2019.101428
   Zhang QR, 2022, FORESTS, V13, DOI 10.3390/f13091368
   Zhao X.Q., 2020, THESIS SICHUAN NORMA
NR 46
TC 12
Z9 14
U1 29
U2 133
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAY 18
PY 2023
VL 12
IS 5
AR 1089
DI 10.3390/land12051089
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA H7BJ9
UT WOS:000997471300001
OA gold
DA 2025-04-22
ER

PT J
AU Huck, A
   Monstadt, J
   Driessen, P
AF Huck, Andreas
   Monstadt, Jochen
   Driessen, Peter
TI Building urban and infrastructure resilience through connectivity: An
   institutional perspective on disaster risk management in Christchurch,
   New Zealand
SO CITIES
LA English
DT Article
DE Urban resilience; Infrastructure resilience; Institutional connectivity;
   Disaster risk management
ID CLIMATE-CHANGE; PUBLIC SPACE; GOVERNANCE; RECOVERY; RECONSTRUCTION;
   PARTNERSHIPS; ADAPTATION; CHALLENGE
AB The management of large-scale disasters in urban agglomerations often reveals fragmented governance structures. Accordingly, recent debates in the field of disaster risk management call for better coordination of agencies and actors across organisational and territorial boundaries, arguing that this would ultimately improve the resilience of urban areas. However, our analysis of the metropolitan area of Greater Christchurch, which experienced a series of devastating earthquakes in 2010/2011, shows that this conclusion inadequately acknowledges the uncertainties and institutional complexities in the governance of resilience. We show that debates on urban resilience can benefit from the concept of institutional connectivity - defined as institutionalised forms of vertical, horizontal or cross-territorial interaction - to systematically address these complexities. Our empirical results suggest that the efficacy of different forms of institutional connectivity depends on prevailing circumstances. Therefore, particular forms of connectivity should be prioritised on a case-by-case basis. Our empirical study reveals that enhancing institutional connectivity is a resource-intensive and contested process that might induce negative trade-offs. We contend that because institutions shape how different agencies and organisations interact, scholarly debates on urban resilience should put more emphasis on processes of institutional reform and stress the political dimension of institution building for urban resilience.
C1 [Huck, Andreas] Tech Univ Darmstadt, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
   [Huck, Andreas; Monstadt, Jochen] Univ Utrecht, Fac Geosci, Dept Human Geog & Spatial Planning, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
   [Driessen, Peter] Univ Utrecht, Fac Geosci, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
C3 Technical University of Darmstadt; Utrecht University; Utrecht
   University
RP Huck, A (corresponding author), Tech Univ Darmstadt, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
EM huck@kritis.tu-darmstadt.de; j.monstadt@uu.nl; p.driessen@uu.nl
RI Monstadt, Jochen/AAE-5440-2022; Driessen, Peter/M-6751-2013
OI Driessen, Peter/0000-0002-0724-6666; Monstadt,
   Jochen/0000-0001-9146-1571
FU German Research Foundation (DFG) within the Research Training Group
   KRITIS at TU Darmstadt [GRK 2222]
FX This work was supported by the German Research Foundation (DFG) within
   the Research Training Group KRITIS at TU Darmstadt [grant number GRK
   2222].
CR [Anonymous], RISKS REAL MULT APPR
   [Anonymous], MAN PEOPL LIV CANT
   [Anonymous], 2007, GREAT CHRISTCH URB D
   [Anonymous], 2013, EFF EFF ARR REP PIP
   [Anonymous], 2016, YOU NEVER ADAPT ALON
   [Anonymous], HOM 100 RES CIT
   [Anonymous], COUNC ROL FUNCT
   [Anonymous], 30 YEAR INFR STRAT 2
   [Anonymous], RIPPED APART CITY CH
   [Anonymous], CHRISTCHURCHS RED ZO
   [Anonymous], 2012, RISK INTERDEPENDENCI
   [Anonymous], 2016, RES GREAT CHRISTCH H
   [Anonymous], THESIS
   Birkmann J, 2010, NAT HAZARDS, V55, P637, DOI 10.1007/s11069-008-9319-2
   Bogner A, 2009, RES METHODS SER, P1, DOI 10.1057/9780230244276
   Brand D, 2016, J URBAN DES, V21, P159, DOI 10.1080/13574809.2015.1133231
   Bray J, 2014, SOIL LIQUEFACTION DURING RECENT LARGE-SCALE EARTHQUAKES, P109
   Brookie R., 2014, FUTURE PROOFING STAT, P251
   Chandler David., 2017, The Routledge Handbook of International Resilience
   Coaffee J., 2016, URBAN RESILIENCE PLA
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Coaffee J, 2016, ROUT STUD CRIM SOC, P15
   Cubrinovski Misko, 2015, HORIZONTAL INFRASTRU
   de Bruijne M., 2007, J CONTINGENCIES CRIS, V15, P18, DOI [10.1111/j.1468-5973.2007.00501.x, DOI 10.1111/J.1468-5973.2007.00501.X]
   Dewulf A, 2015, J WATER CLIM CHANGE, V6, P1, DOI 10.2166/wcc.2014.000
   Duit A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI 10.1016/j.gloenvcha.2010.04.006
   Elsner I., 2018, Key Concepts for Critical Infrastructure Research, P31, DOI DOI 10.1007/978-3-658-22920-7_4
   Forsyth T, 2010, WIRES CLIM CHANGE, V1, P683, DOI 10.1002/wcc.68
   Glaser J., 2013, FORUM QUALITATIVE SO, V14, P37
   Glavovic BC, 2010, NAT HAZARDS, V54, P679, DOI 10.1007/s11069-009-9494-9
   Harman BP, 2015, CURR OPIN ENV SUST, V12, P74, DOI 10.1016/j.cosust.2014.11.001
   Hegger DLT, 2016, ECOL SOC, V21, DOI 10.5751/ES-08854-210452
   Helmke G, 2012, INTERNATIONAL HANDBOOK ON INFORMAL GOVERNANCE, P85
   Hokstad P., 2012, Risk and Interdependencies in Critical Infrastructures: A Guideline for Analysis
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   Khan J, 2013, J CLEAN PROD, V50, P133, DOI 10.1016/j.jclepro.2012.11.045
   Lowndes V, 2001, URBAN STUD, V38, P1953, DOI 10.1080/00420980120080871
   Macaskill K, 2018, PROCEDIA ENGINEER, V212, P451, DOI 10.1016/j.proeng.2018.01.058
   MacAskill K, 2016, INT J DISASTER RESIL, V7, P318, DOI 10.1108/IJDRBE-05-2015-0030
   MacAskill K, 2017, INT J PROJ MANAG, V35, P864, DOI 10.1016/j.ijproman.2017.02.013
   MacAskill K, 2015, CIV ENG ENVIRON SYST, V32, P130, DOI 10.1080/10286608.2015.1022728
   Mamula-Seadon L, 2015, INT J DISAST RISK RE, V14, P82, DOI 10.1016/j.ijdrr.2015.01.005
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McFarlane C, 2008, INT J URBAN REGIONAL, V32, P363, DOI 10.1111/j.1468-2427.2008.00792.x
   McLean I., 2012, Review of the Civil Defence Emergency Management Response to the 22 February Christchurch Earthquake
   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
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   Office of the Auditor-General, 2012, ROL RESP FUND PUBL E
   Pearce L, 2003, NAT HAZARDS, V28, P211, DOI 10.1023/A:1022917721797
   Sapountzaki K, 2011, NAT HAZARDS, V59, P1445, DOI 10.1007/s11069-011-9843-3
   Vedeld T, 2016, NAT HAZARDS, V82, pS173, DOI 10.1007/s11069-015-1875-7
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Walker B, 2017, INT J PROJ MANAG, V35, P853, DOI 10.1016/j.ijproman.2016.07.007
   Young OR, 2008, INSTITUTIONS AND ENVIRONMENTAL CHANGE: PRINCIPAL FINDINGS, APPLICATIONS, AND RESEARCH FRONTIERS, P1
NR 56
TC 30
Z9 33
U1 8
U2 92
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 2020
VL 98
AR 102573
DI 10.1016/j.cities.2019.102573
PG 10
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA KN3RN
UT WOS:000514758100023
OA Green Published
DA 2025-04-22
ER

PT J
AU Estevo, CA
   Nagy-Reis, MB
   Silva, WR
AF Estevo, Cesar A.
   Nagy-Reis, Mariana Baldy
   Silva, Wesley Rodrigues
TI Urban parks can maintain minimal resilience for Neotropical bird
   communities
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Urban remnant; Ecological functions; Species richness; Functional
   redundancy; Community resilience
ID FUNCTIONAL RICHNESS; RELATIVE RESILIENCE; URBANIZATION; BIODIVERSITY;
   INDICATORS; GUILDS; DIVERSITY; INTEGRITY; DISCONTINUITIES;
   HOMOGENIZATION
AB Birds may use urban parks as shelter and refuge, contributing with numerous ecosystem services upon which humans and other organisms depend on. To safeguard these services, it is important that bird communities of urban environments hold some degree of resilience, which refers to the capacity of a system to absorb disturbances and changes, while maintaining its functions and structures. Here we assessed the resilience of the bird community inhabiting an urban park in the Southeast region of Brazil. We classified birds in feeding guilds and identified discontinuities and aggregations of body masses (i.e., scales) using hierarchical cluster analysis. We then calculated five resilience indices for our urban park and for a preserved continuous forest (reference area): the average richness of functions, diversity of functions, evenness of functions, and redundancy of functions within-and cross-scale. The urban park had less species, lower feeding guild richness, and lower within-scale redundancy than the reference area. However, they had similar proportion of species in each function, diversity of functions, evenness of functions, and cross-scale redundancy. The lower species richness and, consequently, the lack of some species performing some ecological functions may be responsible for the overall lower resilience in the urban park. Our results suggest that the bird community of the urban park is in part resilient, as it maintained many biological functions, indicating some environmental quality despite the high anthropogenic impacts of this area. We believe that urban forest remnants with more complex and diverse vegetation are possibly more likely to maintain higher resilience in the landscape than open field parks or parks with suppressed or altered vegetation. We propose that raising resilience in the urban park would possibly involve increasing vegetation complexity and heterogeneity, which could increase biodiversity in a large scale.
C1 [Estevo, Cesar A.; Nagy-Reis, Mariana Baldy; Silva, Wesley Rodrigues] Univ Estadual Campinas, Dept Anim Biol, Campinas, SP, Brazil.
   [Estevo, Cesar A.] Av Juscelino Kubitschek 901, BR-13141130 Paulinia, SP, Brazil.
C3 Universidade Estadual de Campinas
RP Estevo, CA (corresponding author), Univ Estadual Campinas, Dept Anim Biol, Campinas, SP, Brazil.; Estevo, CA (corresponding author), Av Juscelino Kubitschek 901, BR-13141130 Paulinia, SP, Brazil.
EM cesar_estevo@hotmail.com
FU Sao Paulo Research Foundation (Fapesp) [2014/00179-3]; Fundacao de
   Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [14/00179-3] Funding
   Source: FAPESP
FX We are thankful to Maua City Hall for permission to conduct this project
   at "Parque Natural Municipal Guapituba Alfredo Kimklert Junior". We are
   also very grateful to the park's staff for assisting the access to the
   park. CAE was supported by the Sao Paulo Research Foundation (Fapesp
   grant number 2014/00179-3).
CR Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Aleixo Alexandre, 1997, Bird Conservation International, V7, P235
   Allen CR, 2005, ECOSYSTEMS, V8, P958, DOI 10.1007/s10021-005-0147-x
   [Anonymous], 2010, ORNITOLOGIA CONSERVA
   [Anonymous], WORLDWIDE URBANIZATI
   [Anonymous], REV SOCIEDADE NATURE
   Blair R, 2004, ECOL SOC, V9
   Borges Sergio Henrique, 2000, Ararajuba, V8, P17
   Bradford DF, 1998, ENVIRON MONIT ASSESS, V49, P1, DOI 10.1023/A:1005712405487
   Bryce SA, 2002, ENVIRON MANAGE, V30, P294, DOI 10.1007/s00267-002-2702-y
   Cadotte MW, 2011, J APPL ECOL, V48, P1079, DOI 10.1111/j.1365-2664.2011.02048.x
   Canterbury GE, 2000, CONSERV BIOL, V14, P544, DOI 10.1046/j.1523-1739.2000.98235.x
   Clergeau P, 1998, CONDOR, V100, P413, DOI 10.2307/1369707
   Cranz G., 2004, Landsc. J, V23, P102, DOI [10.3368/lj.23.2.102, DOI 10.3368/LJ.23.2.102]
   Croci S, 2008, CONDOR, V110, P223, DOI 10.1525/cond.2008.8409
   Devictor V, 2007, CONSERV BIOL, V21, P741, DOI 10.1111/j.1523-1739.2007.00671.x
   Dunning J.B., 2007, CRC HDB AVIAN BODY M, VSecond edition
   Evans KL, 2011, GLOBAL CHANGE BIOL, V17, P32, DOI 10.1111/j.1365-2486.2010.02247.x
   Fenton M. Brock, 1999, Revista Brasileira de Zoologia, V16, P1081
   Fernández-Juricic E, 2001, BIODIVERS CONSERV, V10, P2023, DOI 10.1023/A:1013133308987
   Fischer J, 2007, ECOSYSTEMS, V10, P964, DOI 10.1007/s10021-007-9071-6
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Forys EA, 2002, ECOSYSTEMS, V5, P339, DOI 10.1007/s10021-001-0078-0
   Franchin Alexandre Gabriel, 2004, Biotemas, V17, P179
   Fujita M, 2007, ECOL APPL, V17, P648, DOI 10.1890/06-0118
   Glennon MJ, 2005, BIOL CONSERV, V126, P499, DOI 10.1016/j.biocon.2005.06.029
   Hedblom M, 2014, URBAN FOR URBAN GREE, V13, P469, DOI 10.1016/j.ufug.2014.04.002
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   HOLLING CS, 1992, ECOL MONOGR, V62, P447, DOI 10.2307/2937313
   Hougner C, 2006, ECOL ECON, V59, P364, DOI 10.1016/j.ecolecon.2005.11.007
   Kark S, 2007, J BIOGEOGR, V34, P638, DOI 10.1111/j.1365-2699.2006.01638.x
   Karp DS, 2011, P NATL ACAD SCI USA, V108, P21134, DOI 10.1073/pnas.1118276108
   Lim HC, 2004, LANDSCAPE URBAN PLAN, V66, P199, DOI 10.1016/S0169-2046(03)00111-7
   Marzluff J. M., 2008, An international perspective on the interaction between humans and nature, P355
   Mason NWH, 2005, OIKOS, V111, P112, DOI 10.1111/j.0030-1299.2005.13886.x
   McKinney ML, 2006, BIOL CONSERV, V127, P247, DOI 10.1016/j.biocon.2005.09.005
   McKinney ML, 2002, BIOSCIENCE, V52, P883, DOI 10.1641/0006-3568(2002)052[0883:UBAC]2.0.CO;2
   Moller AP, 2009, OECOLOGIA, V159, P849, DOI 10.1007/s00442-008-1259-8
   Morelli F, 2016, GLOBAL ECOL BIOGEOGR, V25, P1284, DOI 10.1111/geb.12486
   Mörtberg U, 2000, LANDSCAPE URBAN PLAN, V50, P215, DOI 10.1016/S0169-2046(00)00090-6
   O'Connell TJ, 2000, ECOL APPL, V10, P1706, DOI 10.1890/1051-0761(2000)010[1706:BGAIOE]2.0.CO;2
   Oliver AJ, 2011, LANDSCAPE URBAN PLAN, V102, P215, DOI 10.1016/j.landurbplan.2011.04.007
   Pauw A, 2012, ECOL SOC, V17, DOI 10.5751/ES-04758-170227
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Philpott SM, 2009, ECOL APPL, V19, P1858, DOI 10.1890/08-1928.1
   POULIN B, 1994, BIOTROPICA, V26, P187, DOI 10.2307/2388808
   R Core Team, 2022, R LANG ENV STAT COMP
   Sanz JJ, 2001, ECOL RES, V16, P387, DOI 10.1046/j.1440-1703.2001.00403.x
   Savard JPL, 2000, LANDSCAPE URBAN PLAN, V48, P131, DOI 10.1016/S0169-2046(00)00037-2
   Schütz C, 2015, ECOL EVOL, V5, P5230, DOI 10.1002/ece3.1778
   Sekercioglu CH, 2006, TRENDS ECOL EVOL, V21, P464, DOI 10.1016/j.tree.2006.05.007
   Sick H., 1993, BIRDS IN BRAZIL
   Stow C, 2007, ECOL SOC, V12
   Touchton JM, 2011, ECOLOGY, V92, P1126, DOI 10.1890/i0012-9658-92-5-1126
   WALKER BH, 1992, CONSERV BIOL, V6, P18, DOI 10.1046/j.1523-1739.1992.610018.x
   Whelan CJ, 2008, ANN NY ACAD SCI, V1134, P25, DOI 10.1196/annals.1439.003
NR 57
TC 24
Z9 29
U1 7
U2 85
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 OCT
PY 2017
VL 27
BP 84
EP 89
DI 10.1016/j.ufug.2017.06.013
PG 6
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 FQ6JK
UT WOS:000418470600011
DA 2025-04-22
ER

PT J
AU Ma, Z
   Yang, X
   Chen, A
   Zhu, TL
   Wu, JJ
AF Ma, Zhiao
   Yang, Xin
   Chen, Anthony
   Zhu, Tianlei
   Wu, Jianjun
TI Assessing the resilience of multi-modal transportation networks with the
   integration of urban air mobility
SO TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
LA English
DT Article
DE Multi-modal transportation; Urban air mobility; Cascade failure;
   Percolation; Network resilience
ID PERCOLATION; ROBUSTNESS; SELECTION
AB Low-altitude transportation offers innovative solutions to alleviate urban congestion while reshaping urban transportation structures. This shift is likely to impact the resilience of urban multi-modal transportation (UMT) networks, requiring new methods for effective assessment. This paper develops a constrained clustering model with neighborhood search, considering points of interest (POI) distribution, passenger flow and flight distance limit, to determine potential vertiport locations. Based on location selection results and existing public transportation structure, a multi-modal transportation network is constructed. Subsequently, percolation theory is employed to assess the UMT network resilience across various cascading failure scenarios. The results indicate that the integration of urban air mobility (UAM) can significantly enhance network connectivity by providing alternative pathways during emergencies. The findings of this study highlight the potential of UAM to strengthen UMT resilience, offering valuable insights for urban transportation design and management.
C1 [Ma, Zhiao; Yang, Xin; Zhu, Tianlei] Beijing Jiaotong Univ, Sch Syst Sci, Beijing, Peoples R China.
   [Chen, Anthony] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China.
   [Wu, Jianjun] Dalian Univ Technol, Sch Econ & Management, Dalian, Peoples R China.
C3 Beijing Jiaotong University; Hong Kong Polytechnic University; Dalian
   University of Technology
RP Yang, X (corresponding author), Beijing Jiaotong Univ, Sch Syst Sci, Beijing, Peoples R China.
EM 11111047@bjtu.edu.cn
RI Ma, Zhiao/MGU-7968-2025
FU National Natural Science Foundation of China [72288101, 72331001,
   U2469201]; MTR Academy in Hong Kong from the MTR Academy in Hong Kong,
   [PTU-24003]; Beijing Natural Science Foundation [L241036]
FX This research was supported by the National Natural Science Foundation
   of China (Nos. 72288101, 72331001, U2469201) , the MTR Research Funding
   Scheme (PTU-24003) from the MTR Academy in Hong Kong, and the Beijing
   Natural Science Foundation (No. L241036) .
CR Adams K, 2021, INT J DISAST RISK RE, V56, DOI 10.1016/j.ijdrr.2021.102082
   Aparicio JT, 2022, EUR TRANSP RES REV, V14, DOI 10.1186/s12544-022-00552-3
   Artime O, 2024, NAT REV PHYS, V6, P114, DOI 10.1038/s42254-023-00676-y
   Baggag A, 2018, EPJ DATA SCI, V7, DOI 10.1140/epjds/s13688-018-0139-7
   Barahimi AH, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.107922
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Besinovic N, 2022, IEEE T INTELL TRANSP, V23, P10380, DOI 10.1109/TITS.2021.3093570
   Boddupalli SS, 2024, TRANSPORT RES A-POL, V181, DOI 10.1016/j.tra.2024.104000
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Callaway DS, 2000, PHYS REV LETT, V85, P5468, DOI 10.1103/PhysRevLett.85.5468
   Chen LT, 2022, INFORMS J COMPUT, V34, P834, DOI 10.1287/ijoc.2021.1109
   D'Lima M, 2015, TRANSPORT RES A-POL, V81, P35, DOI 10.1016/j.tra.2015.05.017
   de Jong G, 2007, TRANSPORT RES A-POL, V41, P874, DOI 10.1016/j.tra.2006.10.002
   De-Los-Santos A, 2012, TRANSPORT RES C-EMER, V20, P34, DOI 10.1016/j.trc.2010.09.002
   Gao JX, 2011, PHYS REV LETT, V107, DOI 10.1103/PhysRevLett.107.195701
   Gao ZY, 2023, FRONT ENG MANAG, V10, P534, DOI 10.1007/s42524-023-0255-3
   Gu Y, 2023, TRANSPORT RES C-EMER, V147, DOI 10.1016/j.trc.2023.104012
   Guo JN, 2020, J ADV TRANSPORT, V2020, DOI 10.1155/2020/3976910
   Haan J, 2021, TRANSPORT RES C-EMER, V132, DOI 10.1016/j.trc.2021.103392
   Hall CE, 2023, BMC PUBLIC HEALTH, V23, DOI 10.1186/s12889-023-17242-x
   Hamedmoghadam H, 2022, TRANSPORT RES C-EMER, V145, DOI 10.1016/j.trc.2022.103922
   Hamedmoghadam H, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21483-y
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hollnagel E, 2014, BUILD RES INF, V42, P221, DOI 10.1080/09613218.2014.862607
   Ilalokhoin O, 2023, RELIAB ENG SYST SAFE, V229, DOI 10.1016/j.ress.2022.108895
   Jiang Y, 2025, TRANSPORT RES A-POL, V192, DOI 10.1016/j.tra.2024.104353
   Jin Z., 2024, J. Air Transp. Res. Soc., V2, DOI 10.1016/j.jatrs.2024.100006
   Jin ZY, 2024, TRANSPORT RES A-POL, V183, DOI 10.1016/j.tra.2024.104059
   Karimi S, 2024, TRANSPORT RES A-POL, V179, DOI 10.1016/j.tra.2023.103885
   Kim BC, 2023, COMPUT HUM BEHAV, V148, DOI 10.1016/j.chb.2023.107898
   Kitthamkesorn S, 2024, TRANSPORT RES E-LOG, V187, DOI 10.1016/j.tre.2024.103569
   Klimek P, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09357-w
   Li DQ, 2015, P NATL ACAD SCI USA, V112, P669, DOI 10.1073/pnas.1419185112
   Lim E, 2019, INT J AERONAUT SPACE, V20, P260
   Liu JX, 2023, INT J FUZZY SYST, V25, P647, DOI 10.1007/s40815-022-01394-w
   Lu QC, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108320
   Ma Z, 2024, TRANSPORT RES D-TR E, V128, DOI 10.1016/j.trd.2024.104085
   Ma Z, 2022, TRANSPORT POLICY, V129, P38, DOI 10.1016/j.tranpol.2022.10.003
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   Minh HL, 2022, KNOWL-BASED SYST, V251, DOI 10.1016/j.knosys.2022.109189
   Pons-Prats J, 2022, TRANSPORT RES E-LOG, V166, DOI 10.1016/j.tre.2022.102868
   Rajendran S, 2019, TRANSPORT RES E-LOG, V128, P470, DOI 10.1016/j.tre.2019.06.003
   Rath S, 2022, J AIR TRANSP MANAG, V105, DOI 10.1016/j.jairtraman.2022.102294
   Raza W., 2025, J. Air Transp, P1
   ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
   Sano HH, 2021, IEEE T NETW SCI ENG, V8, P3453, DOI 10.1109/TNSE.2021.3114535
   Sengupta R., 2025, Urban Air Mobility Research Challenges and Opportunities, P8
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Sun X., 2025, J. Air Trans. Res. Soc., V4
   Sun X., 2025, J. Air Trans. Res. Soc., V4
   Tang JQ, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107715
   Wandelt S., 2025, J. Air Trans. Res. Soc., V4
   Wandelt S, 2025, TRANSPORT RES D-TR E, V138, DOI 10.1016/j.trd.2024.104522
   Wandelt S, 2024, IEEE T INTELL TRANSP, V25, P6276, DOI 10.1109/TITS.2023.3343713
   Wang K, 2022, M&SOM-MANUF SERV OP, V24, P3215, DOI 10.1287/msom.2022.1148
   Wang K, 2023, IEEE T IND INFORM, V19, P2165, DOI 10.1109/TII.2022.3202950
   Wang LJ, 2021, PHYSICA A, V580, DOI 10.1016/j.physa.2021.126170
   Wang NX, 2023, RELIAB ENG SYST SAFE, V238, DOI 10.1016/j.ress.2023.109478
   Wang T, 2024, TRANSPORT RES E-LOG, V188, DOI 10.1016/j.tre.2024.103534
   Wang ZH, 2020, J AFFECT DISORDERS, V275, P188, DOI 10.1016/j.jad.2020.06.034
   Wei QS, 2024, TRANSPORT RES B-METH, V185, DOI 10.1016/j.trb.2024.102967
   Xu PC, 2024, TRANSPORT RES A-POL, V179, DOI 10.1016/j.tra.2023.103907
   Xu XD, 2021, TRANSPORT RES E-LOG, V154, DOI 10.1016/j.tre.2021.102448
   Xu XD, 2018, TRANSPORT RES B-METH, V114, P68, DOI 10.1016/j.trb.2018.05.014
   Xu ZZ, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-39999-w
   Yan YP, 2024, FRONT ENG MANAG, V11, P734, DOI 10.1007/s42524-024-0298-0
   Yang X, 2021, INT J PROD ECON, V231, DOI 10.1016/j.ijpe.2020.107920
   Yang X, 2017, IEEE T INTELL TRANSP, V18, P259, DOI 10.1109/TITS.2016.2566801
   Yu Y, 2023, IEEE T CONTROL NETW, V10, P2108, DOI 10.1109/TCNS.2023.3262192
   Zeng GW, 2021, FRONT ENG MANAG, V8, P557, DOI 10.1007/s42524-021-0174-0
   Zhang L, 2024, TRANSPORT RES C-EMER, V162, DOI 10.1016/j.trc.2024.104602
   Zhang L, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108367
   Zhang P, 2023, FRONT ENG MANAG, V10, P250, DOI 10.1007/s42524-021-0180-2
   Zhao PN, 2025, IEEE T INFORM THEORY, V71, P1300, DOI 10.1109/TIT.2024.3522347
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
   Zhu TL, 2025, TRANSPORT POLICY, V163, P1, DOI 10.1016/j.tranpol.2025.01.006
   Zhu TL, 2024, J SUPERCOMPUT, V80, P11474, DOI 10.1007/s11227-023-05880-2
NR 77
TC 0
Z9 0
U1 1
U2 1
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0965-8564
EI 1879-2375
J9 TRANSPORT RES A-POL
JI Transp. Res. Pt. A-Policy Pract.
PD MAY
PY 2025
VL 195
AR 104465
DI 10.1016/j.tra.2025.104465
PG 23
WC Economics; Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Transportation
GA 0ZG0Z
UT WOS:001459544700001
DA 2025-04-22
ER

PT J
AU Beyer, LI
   Chaudhuri, J
   Kagima, B
AF Beyer, Linda I.
   Chaudhuri, Jay
   Kagima, Barbara
TI Kenya's focus on urban vulnerability and resilience in the midst of
   urban transitions in Nairobi
SO DEVELOPMENT SOUTHERN AFRICA
LA English
DT Article
DE Urban; vulnerability; resilience
ID CHILD-DEVELOPMENT; PERSISTENT POVERTY; ECONOMICS; TRAPS; RISK
AB Addressing urban vulnerability requires an understanding of the underlying determinants of resilience for individuals, households, communities and institutions - to withstand shocks, to adapt and to change. Analysing urban resilience utilises the results of five rounds of the Indicator Development for Surveillance of Urban Emergencies surveys conducted in three informal settlements of Nairobi. Results show a significant deterioration in food security and household hunger in marginalised urban populations, with other deprivations including insecurity, negative coping behaviour and inadequate access to water and sanitation. Within slum populations, there was a significant variation in income and expenditure (p<0.05) with lowest income quintiles spending over 100% of their income on food. Significant gender disparities have been shown in lowest income quintiles, with female breadwinners earning 62% compared with male breadwinners (p<0.05). Recommendations from this analysis include establishing thresholds for vulnerability and concrete dimensions for measuring resilience that can initiate and guide related interventions.
C1 [Beyer, Linda I.] Int Dev Res Ctr, MCH Maternal & Child Hlth Program, Inclus Econ, Ottawa, ON, Canada.
   [Chaudhuri, Jay; Kagima, Barbara] Concern Worldwide Kenya, Nairobi, Kenya.
RP Beyer, LI (corresponding author), Int Dev Res Ctr, MCH Maternal & Child Hlth Program, Inclus Econ, Ottawa, ON, Canada.
EM lbeyer@idrc.ca
OI Keino, Barbara Chebet/0000-0001-8523-0187
FU US Agency for International Development - Office of Foreign Disaster
   Assistance
FX Concern Worldwide would like to thank the US Agency for International
   Development - Office of Foreign Disaster Assistance for their support of
   IDSUE.
CR Alinovi L., 2010, Agricultural Survey Methods, P341, DOI [10.1002/9780470665480.ch21, DOI 10.1002/9780470665480.CH21]
   Amendah DD, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0083428
   [Anonymous], 2010, GUID MEAS HOUS IND D
   [Anonymous], 2015, Urban population growth
   [Anonymous], 2012, STATE WORLDS CHILDRE
   Barrett CB, 2013, J DEV STUD, V49, P976, DOI 10.1080/00220388.2013.785527
   Bene C., 2012, 405 IDS, V2012, DOI [10.1111/j.2040-0209.2012.00405.x, DOI 10.1111/J.2040-0209.2012.00405.X]
   Carter MR, 2006, J DEV STUD, V42, P178, DOI 10.1080/00220380500405261
   Cohen J., 1988, STAT POWER ANAL BEHA, P20
   Concern Worldwide, 2015, IND DEV SURV URB EM
   Concern Worldwide, 2014, IND DEV SURV URB EM
   Davis DE, 2012, URB RES SIT CHRON VI
   Engle PL, 1996, SOC SCI MED, V43, P621, DOI 10.1016/0277-9536(96)00110-4
   Frankenberger T., 2012, Enhancing Resilience to Food Security Shocks in Africa
   Frankenberger T., 2013, Community Resilience: Conceptual Framework and Measurement Feed the Future Learning Agenda
   IASC, 2010, IASC STRAT M HUM CHA
   Kyalo K, 2013, TIME THINK URBAN KEN, P49
   Levine S., 2012, HPG POLICY BRIEF, V49
   Maxwell Daniel., 2013, Resilience, Food Security Dynamics, and Poverty Traps in Northern Ethiopia: Analysis of a Biannual Panel Dataset: 2011 - 2013
   Menzen-Dick R, 2014, 2020 C BRIEF 4
   Metcalfe Victoria., 2011, Sanctuary in the City? Urban Displacement and Vulnerability in Nairobi
   Mukiira C, 2012, HLTH CARE SEEKING PR
   Muriithi M.K, 2013, European Scientific, V9, P151, DOI DOI 10.19044/ESJ.2013.V9N8P%25P
   Odary K, 2012, URBAN RESILIENCE SIT
   Pingali P, 2005, DISASTERS, V29, pS5, DOI 10.1111/j.0361-3666.2005.00282.x
   Republic of Kenya, 2008, GLOB COMP PROSP KEN
   Republic of Kenya, 2011, NAT URB DEV POL
   Republic of Kenya, 2010, CONST KEN 2010
   Shaw K, 2012, PLAN THEORY PRACT, V13, P308
   The Rockefeller Foundation, 2015, RES
   UN-Habitat (United Nations Human Settlements Programme), 2015, HOUS SLUM UPGR
   UN-Habitat (United Nations Human Settlements Programme), 2015, HAB 3 ISS PAP URB SP
   UN-Habitat (United Nations Human Settlements Programme), 2011, 2008 STAT AFR CIT FR
   UN-Habitat (United Nations Human Settlements Programme), 2008, STAT AFR CIT FRAM AD
   UNICEF, 1998, The State of the World's Children 1998: Focus on Nutrition
   UNICEF (United Nations Children's Fund), 2014, UNICEF E SO AFR REG
   UNICEF (United Nations Children's Fund), 2013, UNICEF E SO AFR REG
   United Nations, 2014, LEAD UN SUMM TAK STE
   Vaitla Bapu., 2012, Resilience and livelihoods change in Tigray, Ethiopia
   Walker SP, 2007, LANCET, V369, P145, DOI 10.1016/S0140-6736(07)60076-2
   Walker SP, 2011, LANCET, V378, P1325, DOI 10.1016/S0140-6736(11)60555-2
   Wamsler C, 2007, COPING STRATEGIES UR
   WHO (World Health Organization) & DfID (Department for International Development), 2009, SUMM POL IMPL VISION
NR 43
TC 6
Z9 8
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 0376-835X
EI 1470-3637
J9 DEV SO AFR
JI Dev. South. Afr.
PD JAN 2
PY 2016
VL 33
IS 1
SI SI
BP 3
EP 22
DI 10.1080/0376835X.2015.1115739
PG 20
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA DC5RU
UT WOS:000369278900002
DA 2025-04-22
ER

PT J
AU Yang, TT
   Wang, L
AF Yang, Tingting
   Wang, Lin
TI Did Urban Resilience Improve during 2005-2021? Evidence from 31 Chinese
   Provinces
SO LAND
LA English
DT Article
DE Chinese provinces; urban resilience; disaster resilience; entropy
   method; indicators
AB In the context of climate change, various natural disasters and extreme weather events are occurring with increasing frequency. In addition, large-scale urbanization in China poses serious challenges to disaster resilience. The convergence of climate change and large-scale urbanization has made the enhancement of urban resilience (UR) an important guideline for current urban development. This study analyzes the UR of 31 provinces in China during 2005-2021 through the entropy method. A UR evaluation index system is constructed from the perspective of population resilience, social resilience, economic resilience, safeguarding facility resilience, and ecological resilience. The results demonstrate the following: (1) The overall performance of UR in China is relatively low, with an average value of 0.2390. (2) Chinese provinces significantly differ in UR levels, with Beijing, Shanghai, Tianjin, Zhejiang, Jiangsu, and Fujian being the top performers and Guangxi, Yunnan, Xinjiang, Gansu, and Tibet being the bottom. (3) From 2005 to 2021, the average UR value of the 31 Chinese provinces significantly improved. (4) Generally, the eastern, middle, and western regions exhibit relatively high, medium, and low average UR values, respectively. These research findings provide valuable references for Chinese policymakers to adopt measures for promoting UR enhancement and urban safety.
C1 [Yang, Tingting; Wang, Lin] Chongqing Univ, Fac Construct Management & Real Estate, Chongqing 400045, Peoples R China.
   [Wang, Lin] Chongqing Univ, Res Ctr Construct Econ & Management, Chongqing 400045, Peoples R China.
C3 Chongqing University; Chongqing University
RP Wang, L (corresponding author), Chongqing Univ, Fac Construct Management & Real Estate, Chongqing 400045, Peoples R China.; Wang, L (corresponding author), Chongqing Univ, Res Ctr Construct Econ & Management, Chongqing 400045, Peoples R China.
EM ttyang@cqu.edu.cn; wangidill@cqu.edu.cn
RI Yang, Tingting/V-4723-2019
FU Research Center for Construction Economics and Management
FX No Statement Available
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], 2016, People's Government of Beijing Municipality Master Plan of Beijing
   [Anonymous], 2020, International Migration 2020 Highlights
   Chambers R., 1987, International Journal of Water Resources Development, V3, P73, DOI 10.1080/07900628708722335
   Chambers R., 1992, Discussion Paper - Institute of Development Studies, University of Sussex
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph181910231
   China N.B.o.S.o., 2021, CHINA STAT YB CHINA
   CPGPRC (Central People's Government of the People's Republic of China), 19 NATL C COMMUNIST
   CPGPRC (Central People's Government of the People's Republic of China), The 14th Five Year Plan of China
   CPGPRC (Central People's Government of the People's Republic of China), 20 NATL C COMMUNIST
   CPGPRC (Central People's Government of the People's Republic of China), The 11th Five Year Plan of China
   Cutter S. L., 2021, ENV HAZARDS RESILIEN, P51
   Cutter SL, 2016, GEOGR J, V182, P110, DOI 10.1111/geoj.12174
   Deng HJ, 2023, LAND-BASEL, V12, DOI 10.3390/land12091800
   Fujian Provincial Department of Housing and Urban-Rural Development Response, Suggestions on Promoting Resilient Cities in Fujian Province
   Glavovic B.C., 2002, P 3 BIENNIAL C INT D
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   IFRC (International Federation of Red Cross and Red Crescent Societies), 2021, Global Disaster Assessment Report
   Jiang KP, 2023, LAND-BASEL, V12, DOI 10.3390/land12050958
   Jorgenson AK, 2015, SUSTAIN SCI, V10, P149, DOI 10.1007/s11625-014-0264-6
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li H., 2011, Urban Stud, V18, P81
   Liu J., 2022, BCP Educ. Psychol, V4, P173, DOI [10.54691/bcpep.v4i.789, DOI 10.54691/BCPEP.V4I.789]
   Motesharrei S, 2016, NATL SCI REV, V3, P470, DOI 10.1093/nsr/nww081
   Na L., 2023, Stat. Decis, V39, P117
   Peacock WalterG., 2010, ADV RESILIENCE COAST
   Rizzi P, 2018, ANN REGIONAL SCI, V60, P285, DOI 10.1007/s00168-017-0854-1
   Shan X., 2022, J. Anhui Norm. Univ. (Nat. Sci.), V45, P476, DOI [10.14182/J.cnki.1001-2443.2022.05.009, DOI 10.14182/J.CNKI.1001-2443.2022.05.009]
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Shi T, 2021, GROWTH CHANGE, V52, P2364, DOI 10.1111/grow.12554
   The People's Government, Beijing Municipality Guidance on Accelerating the Construction of Resilient Cities
   The People's Government of Shanghai, 2023, Main Tasks of Shanghai in
   The People's Government of Tianjin Tianjin Emergency Management, 14th Five-Year" Plan
   UNDRR, Disaster risk reduction terminology
   United Nations, Sustainable Development Goals
   UR (United Nations), Paris Agreement on Framework Convention on Climate Change
   Wang DL, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0248090
   Zhang M.D., 2018, Urban Probl, V10, P27, DOI [10.13239/j.bjsshkxy.cswt.181004, DOI 10.13239/J.BJSSHKXY.CSWT.181004]
   Zhang Y, 2019, ECOL INDIC, V98, P349, DOI 10.1016/j.ecolind.2018.11.006
   Zhang Z., 2022, Journal of Management World, V38, P138
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
NR 43
TC 4
Z9 4
U1 15
U2 32
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAR
PY 2024
VL 13
IS 3
AR 397
DI 10.3390/land13030397
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA MG2W3
UT WOS:001192417800001
OA gold
DA 2025-04-22
ER

PT J
AU Wang, YN
   Du, MY
   Zhou, L
   Cai, GY
   Bai, YL
AF Wang, Yani
   Du, Mingyi
   Zhou, Lei
   Cai, Guoyin
   Bai, Yongliang
TI A Novel Evaluation Approach of County-Level City Disaster Resilience and
   Urban Environmental Cleanliness Based on SDG11 and Deqing County's
   Situation
SO SUSTAINABILITY
LA English
DT Article
DE SDG 11; city disaster resilience; urban environmental cleanliness;
   county-level sample; Deqing County
ID SUSTAINABLE DEVELOPMENT; PM2.5; RISK
AB City disaster resilience and urban environmental cleanliness are two representative indicators used to assess the safety of human settlements in China's Sustainability Development Goals (SDGs). Traditional research on SDGs mainly concentrated at large-scale spatial level, such as global level or national level. It brings unclear significance to the implementation of SDGs in the county-level. The goal of this paper is to find a new calculation method to apply the index of urban disaster resilience and urban environmental cleanliness to the evaluation of county-level areas. A localization of county-level city disaster resilience and urban environmental cleanliness based on Deqing County's situation was carried out. With quantification and projections of local data, the assessments of city disaster resilience and urban environmental cleanliness have completed. The evaluation showed that city disaster resilience is maintained at a low level, while indicators of urban cleanliness are lower than standards. The prediction of urban per capita environmental impact index based on Grey Time-Series Prediction Model was finished. The forecast showed that the urban per capita impact indicators in the next three years have not exceeded the standard line. The two indicators used to assess the safety of human settlements were consistent with the sustainable development of urban settlement. Partial results of this research were reported as a "county sample" at the first UN Geographic Information Conference held in Deqing in 2018.
C1 [Wang, Yani; Du, Mingyi; Zhou, Lei; Cai, Guoyin] Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 102616, Peoples R China.
   [Bai, Yongliang] Beijing Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China.
C3 Beijing University of Civil Engineering & Architecture; Beijing Jiaotong
   University
RP Zhou, L (corresponding author), Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 102616, Peoples R China.
EM 2108160317004@stu.bucea.edu.cn; dumingyi@bucea.edu.cn;
   zhoulei@bucea.edu.cn; cgyin@bucea.edu.cn; 17116354@bjtu.edu.cn
OI Wang, Ya ni/0000-0002-0791-7909; Zhou, Lei/0000-0002-5473-8495
FU General Project of Science and Technology Plan of Beijing Education
   Commission [KM201810016014]; National Natural Science Foundation (NSFC)
   [41930650]; National Key Research and Development Program of China
   [2018YFC0706003, 2017YFC1502402]; Beijing Advanced Innovation Center for
   Future Urban Design [UDC2018030611]
FX This research was funded by General Project of Science and Technology
   Plan of Beijing Education Commission (KM201810016014), the National
   Natural Science Foundation (NSFC) (Key Project #41930650), the National
   Key Research and Development Program of China (2018YFC0706003,
   2017YFC1502402), Beijing Advanced Innovation Center for Future Urban
   Design (UDC2018030611).
CR Bari MA, 2017, ENVIRON POLLUT, V221, P367, DOI 10.1016/j.envpol.2016.11.087
   Boys BL, 2014, ENVIRON SCI TECHNOL, V48, P11109, DOI 10.1021/es502113p
   Breuer A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072092
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Chen J, 2018, NATURE, V563, P184, DOI 10.1038/d41586-018-07309-w
   [陈优良 Chen Youliang], 2017, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V26, P687
   Takano APC, 2019, ENVIRON RES, V173, P23, DOI 10.1016/j.envres.2019.03.006
   Cui HY, 2015, ATMOS ENVIRON, V116, P262, DOI 10.1016/j.atmosenv.2015.06.054
   Dong WM, 2019, BASIC CLIN PHARMACOL, V125, P203
   Firoiu D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072156
   Folke C., 2009, Principles of Ecosystem Stewardship
   Gabbe CJ, 2019, J TRANSP HEALTH, V13, P78, DOI 10.1016/j.jth.2019.03.011
   Geng GN, 2015, REMOTE SENS ENVIRON, V166, P262, DOI 10.1016/j.rse.2015.05.016
   Horn P, 2018, WORLD DEV, V109, P73, DOI 10.1016/j.worlddev.2018.04.005
   Hou XH, 2019, SUSTAIN DEV, V27, P183, DOI 10.1002/sd.1915
   Imamura K, 2016, NAT HAZARDS, V82, P209, DOI 10.1007/s11069-016-2210-7
   Jacob A, 2017, WORLD DEV, V93, P260, DOI 10.1016/j.worlddev.2016.12.016
   Kanji R., 2019, ASIAN J SUSTAIN SOC, V4, P5, DOI [10.1186/s41180-019-0025-7, DOI 10.1186/S41180-019-0025-7]
   Kayacan E, 2010, EXPERT SYST APPL, V37, P1784, DOI 10.1016/j.eswa.2009.07.064
   Koch F, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7120464
   Krellenberg K, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11041116
   Lin CQ, 2016, REMOTE SENS ENVIRON, V179, P13, DOI 10.1016/j.rse.2016.03.023
   Diaz-Sarachaga JM, 2018, SUSTAIN DEV, V26, P663, DOI 10.1002/sd.1735
   Mbah PO, 2017, LOCAL ENVIRON, V22, P203, DOI 10.1080/13549839.2016.1188062
   Mochizuki J, 2015, INT J DISAST RISK SC, V6, P321, DOI 10.1007/s13753-015-0069-y
   Moonchai S, 2015, MOD SIMUL ENG, V2015, DOI 10.1155/2015/126738
   Orzes G, 2018, J CLEAN PROD, V177, P633, DOI 10.1016/j.jclepro.2017.12.230
   Pao HT, 2012, ENERGY, V40, P400, DOI 10.1016/j.energy.2012.01.037
   Sahin U, 2019, J CLEAN PROD, V239, DOI 10.1016/j.jclepro.2019.118079
   Salvia AL, 2019, J CLEAN PROD, V208, P841, DOI 10.1016/j.jclepro.2018.09.242
   Shahsavari A, 2018, RENEW SUST ENERG REV, V90, P275, DOI 10.1016/j.rser.2018.03.065
   Ulbrich P, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8010006
   van Donkelaar A, 2016, ENVIRON SCI TECHNOL, V50, P3762, DOI 10.1021/acs.est.5b05833
   Vandemoortele J., 2018, Development Studies Research, V5, P83, DOI 10.1080/21665095.2018.1479647
   [吴蒙 Wu Meng], 2015, [环境科学与技术, Enuivonmental Science and Technology], V38, P77
   Zeng B, 2016, ENG APPL ARTIF INTEL, V55, P353, DOI 10.1016/j.engappai.2016.08.007
   Zhang HF, 2016, ENVIRON POLLUT, V216, P559, DOI 10.1016/j.envpol.2016.06.009
   Zhao Cheng-Ping, 2011, Proceedings 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM 2011), P1673, DOI 10.1109/CDCIEM.2011.345
   Zinkernagel R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093201
NR 39
TC 4
Z9 5
U1 4
U2 71
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT 2
PY 2019
VL 11
IS 20
AR 5713
DI 10.3390/su11205713
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 JP6US
UT WOS:000498398900170
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Collier, M
   Connop, S
   Corcoran, A
   Crowe, P
   Nedovic-Budic, Z
   Pichler-Milanovic, N
   Rijavec, R
   Sinclair, J
   Vandergert, P
   Varghese, J
AF Collier, Marcus
   Connop, Stuart
   Corcoran, Aoife
   Crowe, Philip
   Nedovic-Budic, Zorica
   Pichler-Milanovic, Natasha
   Rijavec, Robert
   Sinclair, Jo
   Vandergert, Paula
   Varghese, Johanna
TI European university-community partnership-based research on urban
   sustainability and resilience
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Review
AB Transitioning Towards Urban Resilience and Sustainability (TURAS) project is based on the partnership between decision makers in local authorities with SMEs and academic institutions to develop and demonstrate transition strategies for urban resilience and sustainability. Out of eleven case study sites, three are presented in this brief, including: brownfield redevelopment in London, community mobilisation around underutilisation of urban sites in Dublin, and a web portal for sustainable mobility in Ljubljana.
C1 [Collier, Marcus; Corcoran, Aoife; Crowe, Philip; Nedovic-Budic, Zorica; Varghese, Johanna] Univ Coll Dublin, Earth Inst Richview, UCD Sch Architecture Planning & Environm Policy, Dublin 14, Ireland.
   [Connop, Stuart; Vandergert, Paula] Univ East London, Sustainabil Res Inst, 4-6 Univ Way, London E16 2RD, England.
   [Pichler-Milanovic, Natasha; Rijavec, Robert] Univ Ljubljana, Traff Tech Inst, Fac Civil & Geodet Engn, Jamova 2, SI-1000 Ljubljana, Slovenia.
   [Sinclair, Jo] London Borough Barking & Dagenham, East London, England.
   [Varghese, Johanna] Dublin City Council, Dublin, Ireland.
   [Nedovic-Budic, Zorica] Univ Illinois, 412 S Peoria St,Suite 215,MC 348, Chicago, IL 60607 USA.
C3 University College Dublin; University of East London; University of
   Ljubljana; University of Illinois System; University of Illinois
   Chicago; University of Illinois Chicago Hospital
RP Nedovic-Budic, Z (corresponding author), Univ Coll Dublin, Earth Inst Richview, UCD Sch Architecture Planning & Environm Policy, Dublin 14, Ireland.; Nedovic-Budic, Z (corresponding author), Univ Illinois, 412 S Peoria St,Suite 215,MC 348, Chicago, IL 60607 USA.
EM znb.ucd@gmail.com
RI Collier, Marcus/G-3557-2010
OI Collier, Marcus/0000-0002-6853-9980; Vandergert,
   Paula/0000-0003-2239-5309; Connop, Stuart/0000-0003-3050-7649; Crowe,
   Philip/0000-0001-6686-8222
FU European Union [FP7-ENV.2011.2.1.5-1, 282834]
FX The authors acknowledge the financial support of the European Union
   FP7-ENV.2011.2.1.5-1 (TURAS Project) Grant agreement no. 282834.
NR 0
TC 5
Z9 5
U1 3
U2 37
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 DEC
PY 2016
VL 23
BP 79
EP 84
DI 10.1016/j.cosust.2016.12.001
PN 1
PG 6
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA EL5UX
UT WOS:000394687800010
OA Green Submitted, Green Accepted, Green Published
DA 2025-04-22
ER

PT J
AU Ahmadivostakolaei, M
   Ranjgar, B
   Moghimi, A
   Izadi, MS
AF Ahmadivostakolaei, Mitra
   Ranjgar, Babak
   Moghimi, Armin
   Izadi, Mohammad Saeid
TI A study of the impact of urban spaces on social resilience in case of
   natural disasters: Insights from citizens affected by March 2019 flood
   in Aq Qala City, Iran
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Social resilience; Social capital; Activity; Aq Qala; Structural
   equation modeling
ID COMMUNITY RESILIENCE; ECONOMIC RESILIENCE; CLIMATE-CHANGE;
   VULNERABILITY; PLACE; COHESION; PERCEPTIONS; MANAGEMENT; FRAMEWORK;
   IDENTITY
AB The number of urban crises has been notably on the rise all around the globe during the past few decades due to shifts in ecological cycles and social challenges, among other reasons. These crises have had a more pronounced impact on urban areas, which are more vulnerable. The various aspects of resilience have become the focal points in sustainable development research and other related studies, and some solutions have been proposed within the concepts and framework of sustainable development for countering these crises, among which urban resilience is more prominent owing to its inherent functional principles. Among the various aspects of resilience, social resilience is linked to the social capacities of urban regions. A review of the related literature reveals the shortage of studies about the relationship between urban spaces and social resilience. This study aims to uncover the mechanisms through which urban spaces influence social resilience following natural disasters through the perceptions of the citizens affected by the March 2019 flood in Aq Qala, Golestan Province, Iran. To achieve this, we first developed a conceptual model grounded in a review of relevant theoretical literature. Subsequently, a structured 5-point scale questionnaire was designed and distributed for data collection. The collected data was then subjected to structural equation modeling to analyze the conceptual model. The findings highlight the critical factors in forming social resilience from the perspective of Aq Qala residents, with a specific emphasis on city structure, activity, social capital, and social cohesion as integral components.
C1 [Ahmadivostakolaei, Mitra] Univ Milan, Dept Sci & Technol, I-20122 Milan, Italy.
   [Ranjgar, Babak] Politecn Milan, Dept Energy, I-20156 Milan, Italy.
   [Moghimi, Armin] Leibniz Univ Hannover, Ludwig Franzius Inst Hydraul Estuarine & Coastal E, Nienburger Str 4, D-30167 Hannover, Germany.
   [Izadi, Mohammad Saeid] Bu Ali Sina Univ, Dept Art & Architecture, Hamadan, Iran.
C3 University of Milan; Polytechnic University of Milan; Leibniz University
   Hannover; Bu Ali Sina University
RP Ranjgar, B (corresponding author), Politecn Milan, Dept Energy, I-20156 Milan, Italy.
EM mitra.ahmadivostakolaei@studenti.unimi.it; babak.ranjgar@polimi.it;
   moghimi@lufi.uni-hannover.de; ms.izadi@basu.ac.ir
RI Moghimi, Armin/AAF-8581-2021; Ranjgar, Babak/AAS-8708-2020
OI Ranjgar, Babak/0000-0002-8324-4339; Moghimi, Armin/0000-0002-0455-4882
CR Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Ainuddin S, 2012, INT J DISAST RISK RE, V2, P25, DOI 10.1016/j.ijdrr.2012.07.003
   Ali F, 2018, INT J CONTEMP HOSP M, V30, P514, DOI 10.1108/IJCHM-10-2016-0568
   Argyroudis SA, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136854
   Azar A., 2012, Path-Structural Modeling in Management, SmartPLS Application
   Batungwanayo P, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-022-02018-7
   Bentley I., 2013, Responsive Environments, P1, DOI [10.4324/9780080516172/RESPONSIVE-ENVIRONMENTSPAUL-MURRAIN-ALAN-ALCOCK-GRAHAM-SMITH-IAN-BENTLEY-SUE-MCGLYNN, DOI 10.4324/9780080516172/RESPONSIVE-ENVIRONMENTSPAUL-MURRAIN-ALAN-ALCOCK-GRAHAM-SMITH-IAN-BENTLEY-SUE-MCGLYNN]
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Campbell LK, 2016, ENVIRON SCI POLICY, V62, P34, DOI 10.1016/j.envsci.2016.01.014
   Cao JW, 2019, CITIES, V93, P188, DOI 10.1016/j.cities.2019.05.003
   Carmona M., 2021, Public Places Urban Spaces: The Dimensions of Urban Design, DOI [10.4324/9781315158457/public-places-urban-spaces-matthew-carmona, DOI 10.4324/9781315158457/PUBLIC-PLACES-URBAN-SPACES-MATTHEW-CARMONA]
   Cavaye J, 2019, COMMUNITY DEV, V50, P181, DOI 10.1080/15575330.2019.1572634
   Chan J, 2006, SOC INDIC RES, V75, P273, DOI 10.1007/s11205-005-2118-1
   Chauvire Christiane., 2003, Le vocabulaire de Bourdieu
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   Coleman P.K., 1998, Maternal self-efficacy beliefs as predictors of parenting competence and toddlers' emotional, social, and cognitive development
   Cutter SL, 2013, J FLOOD RISK MANAG, V6, P332, DOI 10.1111/jfr3.12018
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Denny K, 2001, CAN REV SOC ANTHROP, V38, P364
   Eakin H, 2017, P NATL ACAD SCI USA, V114, P186, DOI 10.1073/pnas.1620081114
   Edward L.C.-R., 2024, Journal of Engineering Research and Reports, V26, P88, DOI [10.9734/JERR/2024/V26I11065, DOI 10.9734/JERR/2024/V26I11065]
   Eldesoky AH, 2023, URBAN SCI, V7, DOI 10.3390/urbansci7030093
   Forgette R.G., 2011, Socio-Economic Resilience and Dynamic Micro-economic Analysis for a Large-Scale Catastrophe Project Principal Investigators
   Fornell C., 1981, A comparative analysis of two structural equation models: LISREL and PLS applied to market data
   Fragkias M, 2017, INT J URBAN SUSTAIN, V9, P207, DOI 10.1080/19463138.2017.1324455
   Furlan R., 2016, American Journal of Environmental Engineering, V6, P73
   Ghahramani L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062266
   Ghasemi V., 2007, Measurement and Ranking of Social Capital in the Townships of Isfahan Province
   Ghasemzadeh B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147852
   Gliem J.A., 2003, CALCULATING INTERPRE, DOI DOI 10.1016/B978-0-444-88933-1.50023-4
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Goidel K, 2019, LOCAL GOV STUD, V45, P413, DOI 10.1080/03003930.2019.1571999
   Greene G, 2015, AM J PUBLIC HEALTH, V105, P1792, DOI 10.2105/AJPH.2015.302709
   Habib RR, 2020, PLOS MED, V17, DOI 10.1371/journal.pmed.1003283
   Handriana T, 2016, TOUR HOSP MANAG-CROA, V22, P135, DOI 10.20867/thm.22.2.4
   Hanif A., 2024, FRONT URBAN RURALPLA, V2, DOI [10.1007/s44243-024-00044-z, DOI 10.1007/S44243-024-00044-Z]
   Harvey LD., 2018, Global warming
   Herrick CN, 2018, ENVIRON VALUE, V27, P81, DOI 10.3197/096327118X15144698637531
   Hevia JC, 2006, J AM COLL CARDIOL, V47, P1828, DOI 10.1016/j.jacc.2005.12.049
   Hoyle R. H., 2012, Handbook of Structural Equation Modeling
   HULL RB, 1994, LANDSCAPE URBAN PLAN, V28, P109, DOI 10.1016/0169-2046(94)90001-9
   James H, 2015, GLOB CHANG PEACE SEC, V27, P207, DOI 10.1080/14781158.2015.1030380
   Jeannotte M.S., 2000, Social Cohesion around the World: An International Comparison of Definitions and Issues
   Jenson J., 1998, Mapping social cohesion: The state of Canadian research
   Khanian M, 2018, WEATHER CLIM EXTREME, V21, P52, DOI 10.1016/j.wace.2018.05.006
   Khoshfar G.H., 2014, Geographical planning of space, V3, P151
   Kim H, 2016, SOC NATUR RESOUR, V29, P981, DOI 10.1080/08941920.2015.1080336
   Kodag S, 2022, PROG DISASTER SCI, V14, DOI 10.1016/j.pdisas.2022.100219
   Ludin SM, 2019, HEALTH SOC CARE COMM, V27, P621, DOI 10.1111/hsc.12674
   Maluccio J, 2000, J DEV STUD, V36, P54, DOI 10.1080/00220380008422654
   Markkanen S, 2019, CLIM POLICY, V19, P827, DOI 10.1080/14693062.2019.1596873
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   McIvor D, 2009, J PAC RIM PSYCHOL, V3, P39, DOI 10.1375/prp.3.2.39
   Mebarki A, 2016, GEOMAT NAT HAZ RISK, V7, P5, DOI 10.1080/19475705.2016.1181458
   Mehravar S, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2023.129100
   Mirzai Y., 2018, Greenway Pedestrian Design in Order to Rejoin the Divided Urban Zones through the Brownfield Regeneration (Case Study: Tehran District 17-from Shahid Bradaran-E-Hosseini S T. To Yaft Abad S
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Newland A, 2024, COMMUNITY DEV, V55, P515, DOI 10.1080/15575330.2024.2329631
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Norris FH, 2007, PSYCHIATRY, V70, P320, DOI 10.1521/psyc.2007.70.4.320
   Odiase O, 2020, ENVIRON HAZARDS-UK, V19, P90, DOI 10.1080/17477891.2019.1661221
   Pant R, 2014, RELIAB ENG SYST SAFE, V125, P92, DOI 10.1016/j.ress.2013.09.007
   Parizi SM, 2024, NAT HAZARDS, V120, P13041, DOI 10.1007/s11069-024-06703-0
   Parizi SM, 2021, NAT HAZARDS, V109, P725, DOI 10.1007/s11069-021-04855-x
   Partelow S, 2021, SUSTAIN SCI, V16, P203, DOI 10.1007/s11625-020-00854-2
   Pazhuhan M, 2023, ENVIRON DEV, V48, DOI 10.1016/j.envdev.2023.100902
   Pendergrast C., 2021, Perspectives of Fitness, Parks, and Active Transportation Organizations on Factors Influencing Physical Activity and Wellbeing during Disaster Recovery, P292, DOI [10.1177/028072702103900204, DOI 10.1177/028072702103900204]
   Rajulton F, 2007, SOC INDIC RES, V80, P461, DOI 10.1007/s11205-006-0011-1
   Ranjgar B, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13071326
   Rashidfarokhi A, 2023, BUILD RES INF, V51, P747, DOI 10.1080/09613218.2023.2191922
   Rose A, 2005, J REGIONAL SCI, V45, P75, DOI 10.1111/j.0022-4146.2005.00365.x
   Rose A, 2014, SPRINGERBR EARTH SCI, P1, DOI 10.1007/978-3-319-04316-6_1
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Sabokro D, 2021, MANZAR, V13, P60, DOI 10.22034/MANZAR.2021.256203.2102
   Safari H., 2018, SPACE ONTOL INT J, V7, P35
   Sarker MNI, 2019, APPL ECOL ENV RES, V17, P12769, DOI 10.15666/aeer/1706_1276912785
   Savari M, 2024, FRONT WATER, V6, DOI 10.3389/frwa.2024.1393226
   Sesana E, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.710
   Shahid M, 2022, CITIES, V130, DOI 10.1016/j.cities.2022.103851
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sighaldeh SS, 2020, J EPIDEMIOL GLOB HEA, V10, P135, DOI 10.2991/jegh.k.191206.001
   Siregar JP, 2014, PROCD SOC BEHV, V135, P10, DOI 10.1016/j.sbspro.2014.07.318
   Stofferahn CW, 2012, COMMUNITY DEV, V43, P581, DOI 10.1080/15575330.2012.732591
   Stone W., 2002, Social capital: Empirical meaning and measurement validity Research
   Tavakol M, 2011, INT J MED EDUC, V2, P53, DOI 10.5116/ijme.4dfb.8dfd
   Turner NJ, 2003, HUM ECOL, V31, P439, DOI 10.1023/A:1025023906459
   Turner R, 2020, COAST MANAGE, V48, P436, DOI 10.1080/08920753.2020.1795970
   van de Lindt JW, 2020, J STRUCT ENG, V146, DOI 10.1061/(ASCE)ST.1943-541X.0002556
   van Kamp Irene, 2003, Landscape and Urban Planning, V65, P5, DOI 10.1016/S0169-2046(02)00232-3
   Verbrugge L, 2018, LANDSCAPE URBAN PLAN, V177, P241, DOI 10.1016/j.landurbplan.2018.05.011
   Avila MPW, 2018, J AGING PHYS ACTIV, V26, P248, DOI 10.1123/japa.2016-0332
   Whyte WH, 1980, The social life of small urban spaces
   Zakerhaghighi K, 2015, APPL RES QUAL LIFE, V10, P419, DOI 10.1007/s11482-014-9320-8
   Zhang H., 2022, Models and Methods for Management Science. Management for Professionals, P363, DOI [10.1007/978-981-19-1614-4_10, 10.1007/978-981-19-1614-410, DOI 10.1007/978-981-19-1614-4_10]
   Zhou YK, 2023, ENERG BUILDINGS, V279, DOI 10.1016/j.enbuild.2022.112649
   Ziyaee M, 2018, CITIES, V74, P21, DOI 10.1016/j.cities.2017.10.021
NR 97
TC 2
Z9 2
U1 19
U2 19
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 15
PY 2024
VL 113
AR 104862
DI 10.1016/j.ijdrr.2024.104862
EA OCT 2024
PG 21
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA J0J9Y
UT WOS:001334034500001
OA hybrid
DA 2025-04-22
ER

PT J
AU Olazabal, M
   Pascual, U
AF Olazabal, Marta
   Pascual, Unai
TI Use of fuzzy cognitive maps to study urban resilience and transformation
SO ENVIRONMENTAL INNOVATION AND SOCIETAL TRANSITIONS
LA English
DT Article
DE Urban resilience; Transformability; Sustainable transformation; Fuzzy
   Cognitive Mapping; Bilbao
ID SCENARIO DEVELOPMENT; ENVIRONMENTAL-CHANGE; SYSTEMS; MODELS; POLICY;
   IMPACTS
AB Transformative change for urban sustainability and resilience calls for the use of new governance approaches that take into account the complexity of urban systems and associated stakeholder knowledge and perceptions. This raises the need to explore the cognitive dimension in the management of urban resilience and transformation. The article presents a Fuzzy Cognitive Mapping approach to develop plausible policy scenarios that support the decarbonisation of the urban energy system of the city of Bilbao, Basque Country. Scenario results indicate that a combination of local institutional and social action may be most conducive for stimulating effective and sustainable transformation of Bilbao's urban energy system. We address the properties of the resulting cognitive network, with a focus on the role of the energy system's connectivity which is found to present conflicting potential for resilience and transformation. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Olazabal, Marta; Pascual, Unai] Univ Cambridge, Dept Land Econ, 16-21 Silver St, Cambridge CB3 9EP, England.
   [Olazabal, Marta; Pascual, Unai] Basque Ctr Climate Change BC3, Alameda Urquijo 4, Bilbao 48008, Spain.
   [Pascual, Unai] Basque Fdn Sci, Ikerbasque, Alameda Urquijo 362, Bilbao 48011, Spain.
C3 University of Cambridge; Basque Centre for Climate Change (BC3); Basque
   Foundation for Science
RP Olazabal, M (corresponding author), Basque Ctr Climate Change BC3, Alameda Urquijo 4, Bilbao 48008, Spain.
EM marta.olazabal@bc3research.org
RI Pascual, Unai/O-7946-2019; Olazabal, Marta/AFT-6957-2022; PASCUAL,
   UNAI/B-4766-2012; Olazabal, Marta/C-3027-2008
OI PASCUAL, UNAI/0000-0002-5696-236X; Olazabal, Marta/0000-0002-3381-0654
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Amer M, 2013, FUTURES, V46, P23, DOI 10.1016/j.futures.2012.10.003
   [Anonymous], 2008, WORLD EN OUTL 2008
   [Anonymous], P INT C INT LANDSC M
   [Anonymous], BOUNDS COGNITION
   [Anonymous], BC3 WORKING PAPER SE
   [Anonymous], BOUNDS COGNITION
   [Anonymous], IEEE MED C CONTR SYS
   [Anonymous], I01E001 ICIS
   [Anonymous], 2002, RESILIENCE SUSTAINAB
   [Anonymous], 2004, ECOL SOC
   [Anonymous], UD MUN INF SYST BASQ
   [Anonymous], URBAN STUDIES PRESS
   [Anonymous], INTERNAL WORKING PAP
   [Anonymous], MULTIDISCIPLINARY PE
   [Anonymous], FCMAPPER SOFTWARE
   [Anonymous], WORLD ACAD SCI ENG T
   Axelrod R., 1976, Structure of decision: the cognitive maps of political elites
   Beratan KK, 2007, ECOL SOC, V12
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Creswell J.W., 2017, RES DESIGN QUALITATI
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fairweather J, 2010, ECOL MODEL, V221, P555, DOI 10.1016/j.ecolmodel.2009.10.026
   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
   Galarraga I., 2014, BC3 WORKING PAPER SE
   Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002
   Giordano R, 2010, STUD FUZZ SOFT COMP, V247, P403
   Glykas M, 2010, STUD FUZZ SOFT COMP, V247, P1, DOI 10.1007/978-3-642-03220-2
   Gray SRJ, 2014, OCEAN COAST MANAGE, V94, P74, DOI 10.1016/j.ocecoaman.2013.11.008
   Groumpos PP, 2010, STUD FUZZ SOFT COMP, V247, P1
   Hobbs BF, 2002, ECOL APPL, V12, P1548, DOI 10.2307/3099990
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Janssen MA, 2006, ECOL SOC, V11
   Jetter A, 2011, FUTURES, V43, P52, DOI 10.1016/j.futures.2010.05.002
   Jetter AJ, 2014, FUTURES, V61, P45, DOI 10.1016/j.futures.2014.05.002
   Kafetzis A, 2010, STUD FUZZ SOFT COMP, V247, P383
   Kok K, 2011, J WATER CLIM CHANGE, V2, P87, DOI 10.2166/wcc.2011.032
   Kok K, 2009, GLOBAL ENVIRON CHANG, V19, P122, DOI 10.1016/j.gloenvcha.2008.08.003
   Kontogianni AD, 2012, APPL SOFT COMPUT, V12, P3725, DOI 10.1016/j.asoc.2012.05.003
   KOSKO B, 1986, INT J MAN MACH STUD, V24, P65, DOI 10.1016/S0020-7373(86)80040-2
   LANGFIELD-SMITH K, 1992, J MANAGE STUD, V29, P349, DOI 10.1111/j.1467-6486.1992.tb00669.x
   Lewandowsky S., 2007, HDB APPL COGNITION, P83, DOI [10.1002/9780470713181.ch4, DOI 10.1002/9780470713181.CH4]
   Loorbach D, 2010, FUTURES, V42, P237, DOI 10.1016/j.futures.2009.11.009
   Lopolito A, 2011, ECOL ECON, V72, P18, DOI 10.1016/j.ecolecon.2011.09.010
   Madlener R, 2011, SUSTAIN CITIES SOC, V1, P45, DOI 10.1016/j.scs.2010.08.006
   McCormick K, 2013, J CLEAN PROD, V50, P1, DOI 10.1016/j.jclepro.2013.01.003
   Murungweni C, 2011, ECOL SOC, V16, DOI 10.5751/ES-04393-160408
   Næss P, 2012, ENVIRON INNOV SOC TR, V4, P36, DOI 10.1016/j.eist.2012.07.001
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001
   Özesmi U, 2004, ECOL MODEL, V176, P43, DOI 10.1016/j.ecolmodel.2003.10.027
   Pelling M, 2011, ECOL SOC, V16
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Reckien D, 2014, GLOBAL ENVIRON CHANG, V26, P1, DOI 10.1016/j.gloenvcha.2014.03.005
   Reckien D, 2013, SUSTAIN SCI, V8, P159, DOI 10.1007/s11625-012-0179-z
   Sieck W R., 2007, Handbook of applied cognition, V2nd, P195
   TOLMAN EC, 1948, PSYCHOL REV, V55, P189, DOI 10.1037/h0061626
   van der Brugge R, 2007, ECOL SOC, V12
   van Vliet M, 2010, FUTURES, V42, P1, DOI 10.1016/j.futures.2009.08.005
   Vanwindekens FM, 2013, ECOL MODEL, V250, P352, DOI 10.1016/j.ecolmodel.2012.11.023
   Walker B, 2006, ECOL SOC, V11
   Zhang H, 2013, J ENVIRON MANAGE, V115, P227, DOI 10.1016/j.jenvman.2012.09.032
NR 67
TC 82
Z9 86
U1 5
U2 59
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-4224
EI 2210-4232
J9 ENVIRON INNOV SOC TR
JI Environ. Innov. Soc. Trans.
PD MAR
PY 2016
VL 18
BP 18
EP 40
DI 10.1016/j.eist.2015.06.006
PG 23
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DQ7TI
UT WOS:000379410400002
DA 2025-04-22
ER

PT J
AU Asprone, D
   Manfredi, G
AF Asprone, Domenico
   Manfredi, Gaetano
TI Linking disaster resilience and urban sustainability: a glocal approach
   for future cities
SO DISASTERS
LA English
DT Article
DE disasters; future cities; glocal; resilience; sustainability
ID COMPLEXITY; IMPACT
AB Resilience and sustainability will be two primary objectives of future cities. The violent consequences of extreme natural events and the environmental, social and economic burden of contemporary cities make the concepts of resilience and sustainability extremely relevant. In this paper we analyse the various definitions of resilience and sustainability applied to urban systems and propose a synthesis, based on similarities between the two concepts. According to the proposed approach, catastrophic events and the subsequent transformations occurring in urban systems represent a moment in the city life cycle to be seen in terms of the complex sustainability framework. Hence, resilience is seen as a requirement for urban system sustainability. In addition, resilience should be evaluated not only for single cities, with their physical and social systems, but also on a global scale, taking into account the complex and dynamic relationships connecting contemporary cities.
C1 [Asprone, Domenico; Manfredi, Gaetano] Univ Naples Federico II, Fac Engn, I-81025 Naples, Italy.
C3 University of Naples Federico II
RP Asprone, D (corresponding author), Univ Naples Federico II, Fac Engn, Via Claudio 21, I-81025 Naples, Italy.
EM d.asprone@unina.it
RI Asprone, Domenico/G-8166-2012
OI Asprone, Domenico/0000-0001-5795-8568; Manfredi,
   Gaetano/0000-0002-4860-4511
CR Adger W.N., 1997, CSERGE Working Paper GEC 97-23
   Alberti M, 1996, ENVIRON IMPACT ASSES, V16, P381, DOI 10.1016/S0195-9255(96)00083-2
   [Anonymous], 1992, C ENV DEV
   [Anonymous], 2008, 3 CARRI
   [Anonymous], 2004, P INT FOR ENG DEC MA
   [Anonymous], 10 OXF
   [Anonymous], PROG HUM GEOG
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   [Anonymous], P WALL S ASK LAB U S
   Brundtland GH., 1987, OUR COMM FUT, V4, P17
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Callaghan Edith G., 2008, Environment Development and Sustainability, V10, P931, DOI 10.1007/s10668-007-9093-4
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hauschild M., 1998, ENV ASSESSMENT PRODU
   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
   Jolliet O, 2003, INT J LIFE CYCLE ASS, V8, P324, DOI 10.1007/BF02978505
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Kimhi S, 2004, J COMMUNITY PSYCHOL, V32, P439, DOI 10.1002/jcop.20012
   Lewin Hugh., 2002, Bandiet Out of Jail
   Lorenz DF, 2013, NAT HAZARDS, V67, P7, DOI 10.1007/s11069-010-9654-y
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Rose A, 2011, ENVIRON INNOV SOC TR, V1, P96, DOI 10.1016/j.eist.2011.04.003
   Scipioni A, 2009, ECOL INDIC, V9, P364, DOI 10.1016/j.ecolind.2008.05.002
   Shen LY, 2011, HABITAT INT, V35, P17, DOI 10.1016/j.habitatint.2010.03.006
   Tanguay GA, 2010, ECOL INDIC, V10, P407, DOI 10.1016/j.ecolind.2009.07.013
   Tiezzi E., 1984, TEMPI STORICI TEMPI
   Tobin G.A., 1999, ENVIRON HAZARDS-UK, V1, P13, DOI DOI 10.1016/S1464-28679900002-9
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
NR 31
TC 46
Z9 51
U1 5
U2 119
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 2015
VL 39
SU 1
BP S96
EP S111
DI 10.1111/disa.12106
PG 16
WC Environmental Studies; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics
GA AW3GA
UT WOS:000346173100006
PM 25494959
DA 2025-04-22
ER

PT J
AU Liang, YX
   Wang, C
   Chen, G
   Xie, ZQ
AF Liang, Yixin
   Wang, Chun
   Chen, Gang
   Xie, Zhiqiang
TI Evaluation framework ACR-UFDR for urban form disaster resilience under
   rainstorm and flood scenarios: A case study in Nanjing, China
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban form disaster resilience; Flood disaster; AHP-entropy;
   Spatiotemporal evolution; GIS
ID INFRASTRUCTURE; INSIGHTS; DESIGN; POLICY
AB The impact of urban form on coping with uncertain disturbances and achieving urban resilience is significant. Research on the quantitative assessment of urban form resilience is lacking, and almost no studies have focused on specific disaster scenarios. This study proposed an urban form disaster resilience (UFDR) evaluation framework, ACR-UFDR, for rainstorm disaster scenarios, based on an evaluation indicator system constructed around "absorption, coping, recovery and adaptation." Using the central urban area of Nanjing, China, as a case study, we employed a combined weighting method of analytic hierarchy process (AHP) and the entropy weight method to assess and analyze the UFDR and its spatiotemporal evolution from 2015 to 2020. The results indicate: (1) an overall increase in UFDR from 2015 to 2020, accompanied by a gradual narrowing of regional differences; (2) the irregular spatiotemporal distribution of UFDR reflects the complex interplay between resilience capacities and urban form elements; (3) a well-balanced integration of "absorption, coping, recovery and adaptation" enhances the UFDR. Ultimately, we provided targeted suggestions for the study area. The evaluation framework of this study is reliable and applicable, providing support for urban flood disaster management and sustainable development.
C1 [Liang, Yixin; Wang, Chun; Chen, Gang] Nanjing Univ, Sch Geog & Ocean Sci, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China.
   [Chen, Gang] Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Peoples R China.
   [Xie, Zhiqiang] Yunnan Univ, Sch Earth Sci, Kunming 650504, Peoples R China.
C3 Nanjing University; Nanjing University; Yunnan University
RP Chen, G (corresponding author), Nanjing Univ, Sch Geog & Ocean Sci, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China.
EM chengang@nju.edu.cn
RI Chen, Gang/G-4214-2011; Zhang, Xitian/AAX-5010-2021
FU National Natural Science Foundation of China [42071172, 72361035];
   Nanjing Municipal Planning and Natural Resources Bureau
FX This work was supported by the National Natural Science Foundation of
   China [grant numbers 42071172, 72361035] , and the data support was
   provided by Nanjing Municipal Planning and Natural Resources Bureau. We
   sincerely appreciate the editor and anonymous reviewers.
CR Abdrabo KI, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2023.101426
   Abdulkareem M, 2018, INT J DISAST RISK RE, V28, P176, DOI 10.1016/j.ijdrr.2018.02.009
   Al-Humaiqani MM, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103797
   Alliance R., 2007, Assessing and managing resilience in social-ecological systems: A practitioners workbook
   Ambily P, 2024, INT J DISAST RISK RE, V103, DOI 10.1016/j.ijdrr.2024.104342
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   [Anonymous], 2014, City Resilience Framework
   [Anonymous], 2009, INT STRATERGY DISAST, P1
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Chen Y, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102939
   Chen Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062401
   Chuang MT, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101494
   Creutzig F, 2016, NAT CLIM CHANGE, V6, P1054, DOI 10.1038/nclimate3169
   Dano UL, 2023, AIN SHAMS ENG J, V14, DOI 10.1016/j.asej.2022.102062
   Dano UL, 2022, GEOJOURNAL, V87, P1945, DOI 10.1007/s10708-020-10363-5
   Dastjerdi MS, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100794
   de Brito MM, 2016, NAT HAZARD EARTH SYS, V16, P1019, DOI 10.5194/nhess-16-1019-2016
   Dhar TK, 2017, URBAN CLIM, V19, P72, DOI 10.1016/j.uclim.2016.12.004
   Dhar TK, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0287364
   Doorga JRS, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102683
   Eldesoky AH, 2023, URBAN SCI, V7, DOI 10.3390/urbansci7030093
   Feliciotti A, 2016, OPEN HOUSE INT, V41, P23
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Fusco G, 2020, LECT NOTES COMPUT SC, V12255, P593, DOI 10.1007/978-3-030-58820-5_44
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hao HY, 2022, LANDSCAPE URBAN PLAN, V220, DOI 10.1016/j.landurbplan.2022.104352
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huck A, 2020, GEOFORUM, V117, P194, DOI 10.1016/j.geoforum.2020.10.001
   Jiang FS, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103759
   Kang S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13169007
   Kuang D, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.111025
   Laeni N, 2019, CITIES, V90, P157, DOI 10.1016/j.cities.2019.02.002
   Lak A, 2020, J ENVIRON PLANN MAN, V63, P2194, DOI 10.1080/09640568.2020.1714561
   Li HX, 2024, INT J DISAST RISK RE, V101, DOI 10.1016/j.ijdrr.2024.104249
   Lianxiao, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000551
   Lin L, 2019, NAT HAZARDS, V97, P455, DOI 10.1007/s11069-019-03615-2
   Lu H, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103167
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Lu YW, 2021, HUM ECOL RISK ASSESS, V27, P921, DOI 10.1080/10807039.2020.1788918
   Mabrouk M, 2023, INT J DISAST RISK RE, V91, DOI 10.1016/j.ijdrr.2023.103684
   Mehmood A, 2016, EUR PLAN STUD, V24, P407, DOI 10.1080/09654313.2015.1082980
   Mohtat N, 2022, FRONT SUSTAIN CITIES, V4, DOI 10.3389/frsc.2022.919724
   Papilloud T, 2021, TRANSPORT RES D-TR E, V100, DOI 10.1016/j.trd.2021.103045
   Peng JQ, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103080
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Saaty T.L., 1980, The analytic hierarchy process: Planning, priority setting, resource allocation
   Shafiei-Dastjerdi M, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104646
   Sharifi A, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104910
   Sharifi A, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5010018
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2018, LECT N ENERG, V65, P167, DOI 10.1007/978-3-319-75798-8_9
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Shukla N, 2025, ENVIRON DEV SUSTAIN, V27, P2863, DOI 10.1007/s10668-023-04058-3
   Sun J, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105058
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Thurston R.H., 1874, J. Franklin Inst., V97, P344, DOI [10.1016/0016-0032(74)90403-7, DOI 10.1016/0016-0032(74)90403-7]
   Tu Y, 2022, EXPERT SYST APPL, V210, DOI 10.1016/j.eswa.2022.118488
   Venkataramanan V, 2019, J ENVIRON MANAGE, V246, P868, DOI 10.1016/j.jenvman.2019.05.028
   Wang B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102884
   Wang P, 2021, NAT HAZARDS, V109, P2575, DOI 10.1007/s11069-021-04933-0
   Wijayawardana N, 2023, URBAN SCI, V7, DOI 10.3390/urbansci7010017
   Wu JR, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102968
   Xie WL, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101461
   Yan R, 2023, J ENVIRON MANAGE, V347, DOI 10.1016/j.jenvman.2023.119026
   Yu SY, 2023, HABITAT INT, V136, DOI 10.1016/j.habitatint.2023.102783
   Yu SY, 2023, LANDSCAPE URBAN PLAN, V230, DOI 10.1016/j.landurbplan.2022.104605
   Zhu SY, 2023, LAND-BASEL, V12, DOI 10.3390/land12061200
   Zhu SY, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102355
NR 71
TC 8
Z9 8
U1 66
U2 94
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 105424
DI 10.1016/j.scs.2024.105424
EA APR 2024
PG 14
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 C9H9R
UT WOS:001292412300001
DA 2025-04-22
ER

PT J
AU Bahadur, A
   Tanner, T
AF Bahadur, Aditya
   Tanner, Thomas
TI Transformational resilience thinking: putting people, power and politics
   at the heart of urban climate resilience
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE urban; transformation; adaptation; resilience; Asian Cities Climate
   Change Resilience Network (ACCCRN)
ID ADAPTATION; PERSPECTIVE
AB Resilience is receiving substantial traction as a concept to inform climate change and development policies and programmes. At the same time, a number of critiques have emerged that question its use as a framing concept for tackling urban climate change. This paper reflects on climate resilience and its critiques through an examination of the Asian Cities Climate Change Resilience Network (ACCCRN) initiative in two cities in India. We illustrate aspects of the resilience critique and, using evidence of transformational aspects of the initiative, we argue that resilience thinking must be coupled with the concept of transformation in order to bring issues of people, politics and power to the fore. In the process, the conceptual strength of resilience can be combined with a more radical agenda that engages with underlying political structures and trade-offs that determine risk and vulnerability.
C1 [Bahadur, Aditya] Overseas Dev Inst, London SE1 8NJ, England.
   [Tanner, Thomas] Univ Sussex, IDS, Brighton BN1 9RH, E Sussex, England.
   [Tanner, Thomas] United Nations Dev Programme, New York, NY 10017 USA.
   [Tanner, Thomas] Bangladesh Govt, Dhaka, Bangladesh.
C3 University of Sussex
RP Bahadur, A (corresponding author), Overseas Dev Inst, 203 Blackfriars Rd, London SE1 8NJ, England.
EM a.bahadur@odi.org.uk; t.tanner@ids.ac.uk
OI Tanner, Thomas/0000-0001-7975-4267
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], 2001, PANARCHY UNDERSTANDI
   [Anonymous], PARASTATALS TASK FOR
   [Anonymous], AS CIT CLIM CHANG RE
   [Anonymous], FRIENDS FOLLOWERS FA
   [Anonymous], 2005, CFP EVALUATION SERIE
   [Anonymous], 13 STEPS IDS
   [Anonymous], IIED OPINION NOV
   [Anonymous], PERSPECTIVES DEV SER
   [Anonymous], HDRC DISCUSSION PAPE
   [Anonymous], 2005, WORKSH POL THEOR POL
   [Anonymous], 2008, RE FRAMING RESILIENC
   [Anonymous], ENV URBANIZATION
   [Anonymous], 2007, HUMAN SETTLMENTS GRO, DOI DOI 10.1071/AR06192
   [Anonymous], PLA NOTES
   [Anonymous], NATURAL HAZARDS
   [Anonymous], REFRAMING RESILIENCE
   [Anonymous], ASIAN CITIES CLIMATE
   [Anonymous], C TRANSF CHANG CLIM
   [Anonymous], URBAN CLIMA IN PRESS
   [Anonymous], 2008, RE FRAMING RESILIENC
   Bahadur AV, 2013, CLIM DEV, V5, P55, DOI 10.1080/17565529.2012.762334
   Bene C., 2012, IDS working papers, V405, DOI [DOI 10.1111/J.2040-0209.2012.00405.X, 10.1111/j.2040-0209.2012.00405.x, 10.1111/1.2040-0209.2012.00405.x, DOI 10.1111/1.2040-0209.2012.00405.X]
   Boyd E., 2008, Development (London), V51, P390, DOI 10.1057/dev.2008.32
   Boyden J., 2006, 73 CPRC
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Denzin N., 2011, Handbook of qualitative research, V4th
   Devereux Stephen, 2004, [No title captured]
   Dodman D, 2008, IDS BULL-I DEV STUD, V39, P67
   Duit A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI 10.1016/j.gloenvcha.2010.04.006
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Foster K., 2007, National Civic Review, V96, P27
   Garschagen M, 2013, NAT HAZARDS, V67, P25, DOI 10.1007/s11069-011-9753-4
   Gasper R, 2011, CURR OPIN ENV SUST, V3, P150, DOI 10.1016/j.cosust.2010.12.009
   Jasanoff S., 2008, RE FRAMING RESILIENC, P13
   Kapoor R, 2007, FUTURES, V39, P475, DOI 10.1016/j.futures.2006.10.001
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keeley James., 2003, UNDERSTANDING ENV PO
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   OBrien K., 2011, Progress in Human Geography, P1
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P381, DOI 10.1177/0956247813500902
   Smith A, 2010, ECOL SOC, V15
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Swanstrom Todd., 2008, REGIONAL RESILIENCE
   Tanner T.M., 2011, IDS Bull, V43, P1
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Wetherell M., 1997, Discourse theory and practice: A reader, P72
   Wilbanks T, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P357
NR 55
TC 142
Z9 157
U1 2
U2 85
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 200
EP 214
DI 10.1177/0956247814522154
PG 15
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA AG8FC
UT WOS:000335653200012
OA Green Accepted, Bronze
DA 2025-04-22
ER

PT J
AU Xu, WP
   Cong, JT
   Proverbs, D
   Zhang, LL
AF Xu, Wenping
   Cong, Jinting
   Proverbs, David
   Zhang, Linlan
TI An Evaluation of Urban Resilience to Flooding
SO WATER
LA English
DT Article
DE flood resilience; resilience analysis; urban flood; ISM-ANP model
ID SOCIAL VULNERABILITY; EXPOSURE
AB Flooding has become the natural disaster that causes the greatest losses, with urban flooding restricting the healthy development of cities. The ability to assess a city's resilience to flooding is very important and would contribute to improving resilience and also help to inform planning and development. The aim of this study was to determine the key urban flood resilience indicators for three different Chinese cities (Wuhan, Nanjing, and Hefei) and to prioritize these for each city. A combined interpretive structure and network analysis method (ISM-ANP) model was used to evaluate and analyze the selected evaluation indicators. A four-level urban flood resilience evaluation network model was constructed to determine the interdependence between indicators and to calculate the priorities of the flood resilience indicators for the three cities. Overall, rescue capacity was found to be extremely important and was defined as the most important index. For Wuhan, indicators related to the distribution of waters were found to be more important, while for Nanjing, spatial planning and spatial structure of land use were found to be key priorities. In Hefei, the level of investment in infrastructure and the level of public resources occupy a more important position. The framework presented in this study contributes to the understanding of urban flood resilience and has the potential to be extended to other natural hazards.
C1 [Xu, Wenping; Cong, Jinting] Wuhan Univ Sci & Technol, Evergrande Sch Management, Wuhan 430065, Peoples R China.
   [Xu, Wenping] Hubei Ind Policy & Management Ctr, Wuhan 430065, Peoples R China.
   [Proverbs, David] Univ Wolverhampton, Fac Sci & Engn, Wolverhampton WV1 1NA, England.
   [Zhang, Linlan] Hubei Univ, Sch Business, Wuhan 430062, Peoples R China.
C3 Wuhan University of Science & Technology; University of Wolverhampton;
   Hubei University
RP Zhang, LL (corresponding author), Hubei Univ, Sch Business, Wuhan 430062, Peoples R China.
EM xuwenping@wust.edu.cn; congjinting@163.com; David.Proverbs@bcu.ac.uk;
   linlan@hubu.edu.cn
RI Proverbs, David/AAL-1178-2020
OI Proverbs, David/0000-0002-3297-2205; xu, wenping/0000-0003-4474-1583
FU National Natural Science Foundation of China [71503194]; Youth
   Foundation of Education Department of Hubei Province [B2020312]
FX The research was funded by the National Natural Science Foundation of
   China [grant number, 71503194]; the Youth Foundation of Education
   Department of Hubei Province [grant number, B2020312].
CR Adedeji T, 2019, WATER-SUI, V11, DOI 10.3390/w11081699
   Allen M, 2020, NAT HAZARDS, V101, P173, DOI 10.1007/s11069-020-03868-2
   Attri R., 2013, RES J MANAGEMENT SCI, V2, P3, DOI DOI 10.1108/01443579410062086
   Batica J., 2013, P INT C FLOOD RES EX
   Bruijn K., 2005, RESILIENCE FLOOD RIS
   [蔡建明 Cai Jianming], 2012, [地理科学进展, Progress in Geography], V31, P1245
   Cao Qiang, 2018, THESIS HUAZHONG U SC
   Chang A.P., 2013, INT J PAVEMENT RES T, V6, P612
   Cui P, 2019, SOC SCI QUART, V100, P2059, DOI 10.1111/ssqu.12699
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Evers M, 2018, URBAN BOOK SERIES, P221, DOI 10.1007/978-3-319-68606-6_14
   Frigerio I, 2016, ENVIRON SCI POLICY, V63, P187, DOI 10.1016/j.envsci.2016.06.001
   Guo R., 2020, SHANXI ARCHIT, V46, P168
   [韩松磊 Han Songlei], 2015, [中国给水排水, China Water & Wastewater], V31, P7
   Heinzlef C, 2019, SAFETY SCI, V118, P181, DOI 10.1016/j.ssci.2019.05.003
   Huang J., 2020, CHIN J MECH ENG-EN, V29, P2519
   Kim H, 2018, GEOFORUM, V96, P129, DOI 10.1016/j.geoforum.2018.08.006
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Lai CG, 2016, J HYDROL, V542, P268, DOI 10.1016/j.jhydrol.2016.09.003
   Laurien F, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01593-x
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Lima CHR, 2015, J HYDROL, V522, P594, DOI 10.1016/j.jhydrol.2015.01.009
   Lin L, 2019, NAT HAZARDS, V97, P455, DOI 10.1007/s11069-019-03615-2
   Liu G., 2018, Resour. Dev. Mark, V34, P593
   Malhi GS, 2019, TRANSL PSYCHIAT, V9, DOI 10.1038/s41398-019-0651-y
   Meade LM, 1999, INT J PROD RES, V37, P241, DOI 10.1080/002075499191751
   Min SK, 2011, NATURE, V470, P378, DOI 10.1038/nature09763
   Pearson Jonathan, 2018, Environment Systems & Decisions, V38, P318, DOI 10.1007/s10669-018-9709-2
   Rehman S, 2019, NAT HAZARDS, V96, P975, DOI 10.1007/s11069-018-03567-z
   Ren J.C., 2020, WATER RESOUR PLANN, V11, P35
   Seekao C, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-5154-4
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Walker B, 2004, ECOL SOC, V9
   [王永刚 Wang Yonggang], 2013, [安全与环境学报, Journal of Safety and Environment], V13, P221
   Wingfield J., 2005, IMPROVING FLOOD RESI, P1
   Wnag L.F, 2001, SYST ENG THEORY PRAC, V3, P44
   Xiao N, 2019, THESIS DALIAN U TECH THESIS DALIAN U TECH
   Xie F., 2018, J. Civ. Eng. Manag
   Xu T., 2015, CITY PROBL, V4, P2
   [徐文平 Xu Wenping], 2020, [城市发展研究, Urban Studies], V27, P94
   Xu WP, 2020, WATER-SUI, V12, DOI 10.3390/w12102784
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Yin JB, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06765-2
   Yu K., 2015, URBAN PLAN FORUM, V1, P75
   Zhao Q.F, 2019, RESILIENCE ASSESSMEN
   Zhou L., 2017, COMP EC SOC SYST, P22
   Zhou XY, 2017, SAFETY SCI, V91, P93, DOI 10.1016/j.ssci.2016.06.014
NR 48
TC 29
Z9 30
U1 28
U2 235
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 2022
DI 10.3390/w13152022
PG 20
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA TW2OK
UT WOS:000682246100001
OA gold, Green Accepted
DA 2025-04-22
ER

PT J
AU Chen, HX
   Wang, L
   Wang, YF
   Ni, ZB
   Xia, BC
   Qiu, RL
AF Chen, Hanxi
   Wang, Lu
   Wang, Yafei
   Ni, Zhuobiao
   Xia, Beicheng
   Qiu, Rongliang
TI New Perspective to Evaluate the Carbon Offsetting by Urban Blue-Green
   Infrastructure: Direct Carbon Sequestration and Indirect Carbon
   Reduction
SO ENVIRONMENTAL SCIENCE & TECHNOLOGY
LA English
DT Article
DE ecosystem service; local climate zone; InVESTmodel; urban cooling; urban
   stormwater retention; energy saving
ID LOCAL CLIMATE ZONES; ECOSYSTEM SERVICES; ENERGY USE; EMISSIONS; FORESTS;
   CHINA; MODEL; URBANIZATION; PRODUCTIVITY; BIODIVERSITY
AB Urban blue-green infrastructure (BGI) offers a multitude of ecological advantages to residents, thereby playing a pivotal role in fortifying urban resilience and fostering the development of climate-resilient cities. Nonetheless, current research falls short of a comprehensive analysis of BGI's overall potential for carbon reduction and its indirect carbon reduction impact. To fill this research gap, we utilized the integrated valuation of ecosystem services and trade-offs model and remote sensing estimation algorithm to quantify the direct carbon sequestration and resultant indirect carbon reduction facilitated by the BGI within the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) (China). To identify the regions that made noteworthy contributions to carbon offsets and outliers, spatial autocorrelation analysis was also employed. The findings of this study reveal that in 2019, the BGI within the study area contributed an overall carbon offset of 1.5 x 10(8) t<middle dot>C/yr, of which 3.5 x 10(7) and 11.0 x 10(7) t<middle dot>C/yr were the result of direct carbon sequestration and indirect carbon reduction, respectively. The GBA's total CO2 emissions were 1.1 x 10(8) t in 2019. While the direct carbon sequestration offset 32.0% of carbon emissions, the indirect carbon reduction mitigated 49.9% of potential carbon emissions. These results highlight the critical importance of evaluating BGI's indirect contribution to carbon reduction. The findings of this study provide a valuable reference for shaping management policies that prioritize the protection and restoration of specific areas, thereby facilitating the harmonized development of carbon offset capabilities within urban agglomerations.
C1 [Chen, Hanxi; Wang, Lu; Wang, Yafei; Xia, Beicheng] Sun Yat Sen Univ, Sch Environm Sci & Engn, Guangzhou 510006, Peoples R China.
   [Ni, Zhuobiao; Qiu, Rongliang] South China Agr Univ, Coll Nat Resources & Environm, Guangdong Lab Lingnan Modern Agr, Guangdong Prov Key Lab Agr & Rural Pollut Abatemen, Guangzhou 510642, Peoples R China.
C3 Sun Yat Sen University; Guangdong Laboratory for Lingnan Modern
   Agriculture; South China Agricultural University
RP Wang, YF (corresponding author), Sun Yat Sen Univ, Sch Environm Sci & Engn, Guangzhou 510006, Peoples R China.; Ni, ZB (corresponding author), South China Agr Univ, Coll Nat Resources & Environm, Guangdong Lab Lingnan Modern Agr, Guangdong Prov Key Lab Agr & Rural Pollut Abatemen, Guangzhou 510642, Peoples R China.
EM wangyf97@mail.sysu.edu.cn; nizhuobiao@scau.edu.cn
RI QIU, Rong-Liang/F-9450-2012
OI Ni, Zhuobiao/0000-0002-5072-5478; Qiu, Rongliang/0000-0002-9469-5274
FU National Natural Science Foundation of China [42361144720]; National Key
   R&D Program of China [2022YFF1303104]; Guangdong Special Support Program
   [2021TQ060163]
FX This research was supported by the National Natural Science Foundation
   of China (42361144720), National Key R&D Program of China
   (2022YFF1303104), and Guangdong Special Support Program (2021TQ060163).
CR Adelisardou F, 2021, ENVIRON GEOCHEM HLTH, V43, P3977, DOI 10.1007/s10653-021-00875-5
   Akbari H, 2002, ENVIRON POLLUT, V116, pS119, DOI 10.1016/S0269-7491(01)00264-0
   Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   [Anonymous], 2013, Green Infrastructure Plan
   Ayanu YZ, 2012, ENVIRON SCI TECHNOL, V46, P8529, DOI 10.1021/es300157u
   Babbar D, 2021, J CLEAN PROD, V278, DOI 10.1016/j.jclepro.2020.123333
   Bai Y, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05306-1
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Boyle C, 2010, ENVIRON SCI TECHNOL, V44, P4836, DOI 10.1021/es903749d
   Chen GW, 2019, ENVIRON SCI TECHNOL, V53, P5545, DOI 10.1021/acs.est.8b07071
   Chen JD, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00736-3
   Chen M, 2023, J CLEAN PROD, V385, DOI 10.1016/j.jclepro.2022.135713
   Chen WY, 2015, CITIES, V44, P112, DOI 10.1016/j.cities.2015.01.005
   Chow WTL, 2006, INT J CLIMATOL, V26, P2243, DOI 10.1002/joc.1364
   Chuai XW, 2019, LAND USE POLICY, V84, P305, DOI 10.1016/j.landusepol.2019.03.003
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   Du JQ, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105458
   Fan YX, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052680
   Gaffin SR, 2012, NAT CLIM CHANGE, V2, P704, DOI 10.1038/nclimate1685
   Gallay I, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15043705
   Gao GL, 2011, ENVIRON SCI TECHNOL, V45, P10292, DOI 10.1021/es203897f
   Ge WY, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145648
   Getter KL, 2009, ENVIRON SCI TECHNOL, V43, P7564, DOI 10.1021/es901539x
   Ghofrani Z., 2017, International Journal of Environment and Sustainability, V6, DOI DOI 10.24102/IJES.V6I1.728
   Golubyatnikov LL, 2008, ECOL MODEL, V213, P202, DOI 10.1016/j.ecolmodel.2007.12.001
   Goodwin S, 2023, NAT SUSTAIN, V6, DOI 10.1038/s41893-022-01036-x
   Hong G, 2023, ECOL INDIC, V148, DOI 10.1016/j.ecolind.2023.110045
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Klein T, 2016, TREE PHYSIOL, V36, P847, DOI 10.1093/treephys/tpw030
   Kumar P., 2010, EC ECOSYSTEMSAND BIO
   Li GD, 2016, SCI TOTAL ENVIRON, V545, P609, DOI 10.1016/j.scitotenv.2015.12.067
   Lin WQ, 2011, ENVIRON POLLUT, V159, P2148, DOI 10.1016/j.envpol.2011.02.035
   Liu OY, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102772
   Liu Y, 2023, ECOL INDIC, V148, DOI 10.1016/j.ecolind.2023.110034
   Liu YB, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094010
   Lundholm J, 2015, ENVIRON SCI TECHNOL, V49, P2366, DOI 10.1021/es505426z
   Mafios E, 2017, ENVIRON SCI TECHNOL, V51, P2593, DOI 10.1021/acs.est.6b05426
   Menefee D, 2020, AGR FOREST METEOROL, V294, DOI 10.1016/j.agrformet.2020.108130
   Minasny B, 2023, ENVIRON SCI TECHNOL, V57, P19094, DOI 10.1021/acs.est.3c07312
   Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023
   Ni J, 2003, FOREST ECOL MANAG, V176, P485, DOI 10.1016/S0378-1127(02)00312-2
   Oviantari MV, 2018, IOP C SER EARTH ENV, V200, DOI 10.1088/1755-1315/200/1/012030
   Pan ZZ, 2022, SCI TOTAL ENVIRON, V835, DOI 10.1016/j.scitotenv.2022.155494
   Qiu ZX, 2020, J CLEAN PROD, V252, DOI 10.1016/j.jclepro.2019.119715
   Ren Y, 2011, FOREST ECOL MANAG, V261, P1214, DOI 10.1016/j.foreco.2010.12.038
   Rodda SR, 2021, AGR FOREST METEOROL, V301, DOI 10.1016/j.agrformet.2021.108351
   Sebastiani A, 2023, FORESTS, V14, DOI 10.3390/f14010145
   Song SX, 2022, LANDSCAPE ECOL, V37, P2783, DOI 10.1007/s10980-022-01500-1
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Sun JK, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0252149
   Vaccari FP, 2013, LANDSCAPE URBAN PLAN, V120, P138, DOI 10.1016/j.landurbplan.2013.08.004
   van Meerveld HJ, 2021, J APPL ECOL, V58, P755, DOI 10.1111/1365-2664.13836
   Wang C, 2019, PHYS CHEM EARTH, V110, P195, DOI 10.1016/j.pce.2018.09.001
   Wang J, 2022, J HYDROL, V609, DOI 10.1016/j.jhydrol.2022.127725
   Wang JL, 2019, SCI TOTAL ENVIRON, V662, P824, DOI 10.1016/j.scitotenv.2019.01.260
   Wang RB, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108102
   Wang S, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103561
   Wang YF, 2022, RESOUR CONSERV RECY, V179, DOI 10.1016/j.resconrec.2021.106063
   Wen YY, 2023, J ENVIRON MANAGE, V345, DOI 10.1016/j.jenvman.2023.118869
   Wong NH, 2021, NAT REV EARTH ENV, V2, P166, DOI 10.1038/s43017-020-00129-5
   Wu XT, 2018, LAND USE POLICY, V72, P303, DOI 10.1016/j.landusepol.2018.01.003
   Wu YH, 2018, ENRGY PROCED, V152, P815, DOI 10.1016/j.egypro.2018.09.195
   Wu ZJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197875
   Xu XY, 2019, ENERG BUILDINGS, V188, P58, DOI 10.1016/j.enbuild.2019.02.003
   Xue D, 2001, BIODIVERS CONSERV, V10, P467, DOI 10.1023/A:1016630825913
   Yang J, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102818
   Yang J, 2020, J CLEAN PROD, V275, DOI 10.1016/j.jclepro.2020.123767
   Yang MH, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.159757
   Yao YT, 2018, AGR FOREST METEOROL, V253, P84, DOI 10.1016/j.agrformet.2018.02.007
   Zhang AX, 2022, J CLEAN PROD, V365, DOI 10.1016/j.jclepro.2022.132547
   Zhang XX, 2022, NAT SUSTAIN, V5, P321, DOI 10.1038/s41893-021-00843-y
   Zhao L, 2018, NAT CLIM CHANGE, V8, P1034, DOI 10.1038/s41558-018-0348-x
   Zhao M, 2010, J ENVIRON MANAGE, V91, P807, DOI 10.1016/j.jenvman.2009.10.010
   Zhu XJ, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-25025-4
NR 74
TC 1
Z9 1
U1 53
U2 76
PU AMER CHEMICAL SOC
PI WASHINGTON
PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA
SN 0013-936X
EI 1520-5851
J9 ENVIRON SCI TECHNOL
JI Environ. Sci. Technol.
PD JUL 11
PY 2024
VL 58
IS 29
BP 12966
EP 12975
DI 10.1021/acs.est.3c07337
EA JUL 2024
PG 10
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA A3K7X
UT WOS:001279867400001
PM 38990074
DA 2025-04-22
ER

PT J
AU Li, DK
   Hou, YR
   Du, SB
   Zhou, F
AF Li, Dekui
   Hou, Yuru
   Du, Shubo
   Zhou, Fan
TI Cascading Failure and Resilience of Urban Rail Transit Stations under
   Flood Conditions: A Case Study of Shanghai Metro
SO WATER
LA English
DT Article
DE cascading failure; urban rail transit; resilience; flood; Coupled Map
   Lattice (CML) model
AB The increasing frequency of urban flooding, driven by global climate change, poses significant threats to the safety and resilience of urban rail transit systems. This study systematically examines the cascading failure processes and resilience of these networks under flood conditions, with a specific focus on the Shanghai Metro. A comprehensive resilience evaluation model was developed by integrating geographic information, static network characteristics, and dynamic passenger flow indicators. This study employs an improved Coupled Map Lattice (CML) model to simulate cascading failures by considering the coupling effects of station centrality, geographic elevation, and passenger flow dynamics. The results indicate that stations with higher degrees of centrality are more likely to trigger rapid cascading failures across the network. However, incorporating dynamic passenger flow and geographic elevation data helps mitigate these effects, emphasizing the need for multi-dimensional resilience strategies. The findings provide valuable insights for urban transit management, offering a scientific foundation for developing targeted disaster response strategies to enhance network resilience against floods. This study advances our understanding of the vulnerability of urban rail transit systems and offers practical guidance for improving disaster preparedness in urban transportation infrastructure.
C1 [Li, Dekui; Hou, Yuru; Zhou, Fan] Liaocheng Univ, Sch Comp Sci, Liaocheng 252000, Peoples R China.
   [Du, Shubo] Liaocheng Univ, Sch Architecture, Liaocheng 252000, Peoples R China.
C3 Liaocheng University; Liaocheng University
RP Li, DK; Zhou, F (corresponding author), Liaocheng Univ, Sch Comp Sci, Liaocheng 252000, Peoples R China.
EM jerryinkorea@gmail.com; hyr018@163.com; dushubo@tongji.edu.cn;
   zhoufan@lcu-cs.com
FU Liaocheng University;  [318051531]
FX This research was funded by Liaocheng University grant number 318051531.
CR [Anonymous], 2013, Hurricane Sandy Rebuilding Strategy
   Catelani M., 2020, Acta IMEKO, V9, P10, DOI [10.21014/acta_imeko.v9i1.733, DOI 10.21014/ACTAIMEKO.V9I1.733]
   [陈峰 Chen Feng], 2016, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V16, P139
   De Francesco E., 2012, 2012 11th International Conference on Environment and Electrical Engineering, P830, DOI 10.1109/EEEIC.2012.6221490
   Dehmamy N, 2018, NATURE, V563, P676, DOI 10.1038/s41586-018-0726-6
   Du Fei, 2016, Engineering Journal of Wuhan University, V49, P701, DOI 10.14188/j.1671-8844.2016-05-010
   Feng SM, 2020, CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, P2074, DOI 10.1061/9780784482933.179
   Hu JH, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16156390
   [黄爱玲 Huang Ailing], 2021, [交通运输系统工程与信息, Journal of Transporation Systems Engineering & Information Technology], V21, P140
   Khaliq KA, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19051150
   Kim J, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e18794
   Lagap U, 2024, INT J DISAST RISK RE, V110, DOI 10.1016/j.ijdrr.2024.104629
   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 P., 2021, South-to-North Water Transfers and Water Science Technology, V19, P1083, DOI [10.13476/j.cnki.nsbdqk.2021.0111, DOI 10.13476/J.CNKI.NSBDQK.2021.0111, 10.13476/j.cnki.nsbdqk.2021.0111.]
   Li S.J, 2020, CHINA TRANSP REV, V42, P69
   [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
   Mabrouk M, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16125076
   Shen Y, 2021, TRANSPORTATION, V48, P537, DOI 10.1007/s11116-019-10066-y
   Wang GP, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13040637
   Wang WP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10063-w
   Watson G, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app122312331
   Yang jingfeng, 2022, Computer Engineering and Applications, P250, DOI 10.3778/j.issn.1002-8331.2105-0157
   Ye HA, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010204
   Yin DZ, 2022, RELIAB ENG SYST SAFE, V218, DOI 10.1016/j.ress.2021.108161
   Zhang DK, 2020, IEEE T BIG DATA, V6, P3, DOI 10.1109/TBDATA.2018.2850013
   [朱岩 Zhu Yan], 2021, [上海理工大学学报, Journal of University of Shanghai for Science and Technology], V43, P93
NR 29
TC 0
Z9 0
U1 36
U2 36
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD OCT
PY 2024
VL 16
IS 19
AR 2731
DI 10.3390/w16192731
PG 17
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA I7P6H
UT WOS:001332144200001
OA gold
DA 2025-04-22
ER

PT J
AU Lin, YZ
   Peng, C
   Chen, P
   Zhang, MJ
AF Lin, Yingzi
   Peng, Chong
   Chen, Peng
   Zhang, Mengjie
TI Conflict or synergy? Analysis of economic-social-
   infrastructure-ecological resilience and their coupling coordination in
   the Yangtze River economic Belt, China
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Urban resilience; Subsystem resilience; Evaluation; Coupling
   coordination relationship; Entropy weight-TOPSIS method; CCD model;
   Yangtze River Economic Belt
ID URBAN RESILIENCE; URBANIZATION; SYSTEM
AB Urban resilience is a highly integrated system with multiple dimensions involving dynamic transformations and interactions across dimensions. It is crucial for urban sustainability to investigate the coupling coordination relationships between urban resilience subsystems. We used data from 126 cities in 2008, 2012, and 2017 in the Yangtze River Economic Belt (YREB) in China, the entropy weight-TOPSIS method, and a coupling coordination degree (CCD) model to quantify the economic, social, infrastructure, and ecological resilience and the coupling coordination relationships. The results indicated that the economic resilience (EnR), infrastructure resilience (IR), and ecological resilience (ElR) indices exhibited a non-steady increasing trend, whereas the social resilience (SR) index gradually decreased over time. Spatially, the EnR and SR indices decreased from the eastern to the central and western cities, and the IR and ElR indices had high values in the east and west and low values in the midstream region. Interestingly, the midstream region was the only one showing a dramatic decline in the SR and ElR indices, whereas the upstream and downstream areas maintained a steady growth trend for all four indices. Further, the YREB was dominated by cities with high IR and ElR indices, showing a gradual decline in the number of resilience patterns. Combined with the overall and pair-wise coupling coordination results, our findings indicate that the four subsystems were in moderate imbalance. The upstream and midstream regions remained in moderate imbalance, but the downstream regions changed from moderate imbalance to low coordination. Moreover, the interactions of EnR-IR, EnR-ElR, and IR-ElR changed from moderate imbalance to low coordination, and the other pairs of subsystems remained in moderate coordination. This paper sheds new light on the internal mechanism of urban resilience and provides references for practical interventions and policy-making for sustainable urban development.
C1 [Lin, Yingzi; Peng, Chong; Chen, Peng; Zhang, Mengjie] Huazhong Univ Sci & Technol, Sch Architecture & Urban Planning, Wuhan 430074, Peoples R China.
   [Lin, Yingzi; Peng, Chong; Chen, Peng; Zhang, Mengjie] Hubei Engn & Technol Res Ctr Urbanizat, Wuhan 430074, Peoples R China.
C3 Huazhong University of Science & Technology
RP Peng, C (corresponding author), Huazhong Univ Sci & Technol, Sch Architecture & Urban Planning, Wuhan 430074, Peoples R China.
EM pengchong@hust.edu.cn
RI Chen, peng/GQB-1839-2022; Peng, Chong/JNE-9569-2023
FU National Natural Science Foundation of China [51778253]; National Social
   Science Foundation of China [21AZD048]
FX This work was supported by the National Natural Science Foundation of
   China (51778253) and the National Social Science Foundation of China
   (21AZD048).
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ariken M, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107014
   Assumma V., 2021, New Metropolitan Perspectives, P676, DOI [10.1007/978-3-030-48279-4_63, DOI 10.1007/978-3-030-48279-4_63]
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Chai J, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14111435
   Chen NC, 2017, ENERGY, V134, P659, DOI 10.1016/j.energy.2017.06.076
   Chen ST, 2021, J MT SCI-ENGL, V18, P427, DOI 10.1007/s11629-020-6404-9
   Cheng X, 2019, ECOL INDIC, V104, P489, DOI 10.1016/j.ecolind.2019.04.003
   Cong X., 2019, EXPRESSION MATH PROP
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Grefalda LB, 2020, ENVIRON RES, V186, DOI 10.1016/j.envres.2020.109584
   Guo B, 2022, SCI TOTAL ENVIRON, V813, DOI 10.1016/j.scitotenv.2021.152512
   He JQ, 2017, ECOL INDIC, V77, P185, DOI 10.1016/j.ecolind.2017.01.017
   Heinimann HR, 2017, NATO SCI PEACE SECUR, P147, DOI 10.1007/978-94-024-1123-2_5
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li JS, 2021, J CLEAN PROD, V298, DOI 10.1016/j.jclepro.2021.126803
   Li WW, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102208
   Lin YZ, 2022, ENVIRON SCI POLLUT R, V29, P39807, DOI 10.1007/s11356-021-18235-2
   Liu F, 2016, J GEOGR SCI, V26, P1477, DOI 10.1007/s11442-016-1339-3
   Liu JP, 2021, ECOL INDIC, V124, DOI 10.1016/j.ecolind.2021.107394
   Liu WJ, 2018, J CLEAN PROD, V204, P1, DOI 10.1016/j.jclepro.2018.08.244
   Luo D, 2021, ECOL INDIC, V128, DOI 10.1016/j.ecolind.2021.107858
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mumby PJ, 2014, CURR OPIN ENV SUST, V7, P22, DOI 10.1016/j.cosust.2013.11.021
   Ni MQ, 2019, LECT NOTES COMPUT SC, V11577, P207, DOI 10.1007/978-3-030-22580-3_16
   Ortega M, 2020, APPL GEOGR, V117, DOI 10.1016/j.apgeog.2020.102171
   Ouyang M, 2015, RELIAB ENG SYST SAFE, V141, P74, DOI 10.1016/j.ress.2015.03.011
   Panahi R, 2022, OCEAN COAST MANAGE, V226, DOI 10.1016/j.ocecoaman.2022.106240
   Pickett STA, 2014, BUILD RES INF, V42, P143, DOI 10.1080/09613218.2014.850600
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Shutters ST, 2015, PALGR COMMUN, V1, DOI 10.1057/palcomms.2015.10
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Song QJ, 2018, ENERG POLICY, V121, P346, DOI 10.1016/j.enpol.2018.05.037
   Tang Z, 2015, TOURISM MANAGE, V46, P11, DOI 10.1016/j.tourman.2014.06.001
   Tian YY, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106543
   Wang XC, 2017, ECOSYST SERV, V27, P113, DOI 10.1016/j.ecoser.2017.08.013
   Wang ZB, 2019, J ENVIRON MANAGE, V243, P227, DOI 10.1016/j.jenvman.2019.04.088
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Wu HW, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107955
   Xing L, 2019, J ENVIRON MANAGE, V230, P474, DOI 10.1016/j.jenvman.2018.09.065
   Xu WT, 2019, SUSTAIN CITIES SOC, V45, P474, DOI 10.1016/j.scs.2018.11.042
   Zhang RJ, 2019, J CLEAN PROD, V220, P9, DOI 10.1016/j.jclepro.2019.02.148
   Zhang T, 2021, ENVIRON DEV SUSTAIN, V23, P8474, DOI 10.1007/s10668-020-00976-8
   Zhang ZX, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138825
   Zhou D, 2020, ENVIRON SCI POLLUT R, V27, P25149, DOI 10.1007/s11356-020-08993-w
   Zhou J., 2021, CHINAS RESOUR ENERGY, V2020, P63, DOI [10.1007/978-981-33-6100-3_3, DOI 10.1007/978-981-33-6100-3_3]
NR 51
TC 47
Z9 50
U1 20
U2 120
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 2022
VL 142
AR 109194
DI 10.1016/j.ecolind.2022.109194
EA JUL 2022
PG 14
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 5R4JL
UT WOS:000874478300017
DA 2025-04-22
ER

PT J
AU Rodríguez-Puerta, F
   Barrera, C
   García, B
   Pérez-Rodríguez, F
   García-Pedrero, AM
AF Rodriguez-Puerta, Francisco
   Barrera, Carlos
   Garcia, Borja
   Perez-Rodriguez, Fernando
   Garcia-Pedrero, Angel M.
TI Mapping Tree Canopy in Urban Environments Using Point Clouds from
   Airborne Laser Scanning and Street Level Imagery
SO SENSORS
LA English
DT Article
DE street level imagery; deep learning; LiDAR; urban trees
ID UAV-LIDAR; F-SCORE; VIEW; SEGMENTATION; DELINEATION; CLASSIFICATION;
   DENSITY; BIOMASS; CROWNS; MODELS
AB Resilient cities incorporate a social, ecological, and technological systems perspective through their trees, both in urban and peri-urban forests and linear street trees, and help promote and understand the concept of ecosystem resilience. Urban tree inventories usually involve the collection of field data on the location, genus, species, crown shape and volume, diameter, height, and health status of these trees. In this work, we have developed a multi-stage methodology to update urban tree inventories in a fully automatic way, and we have applied it in the city of Pamplona (Spain). We have compared and combined two of the most common data sources for updating urban tree inventories: Airborne Laser Scanning (ALS) point clouds combined with aerial orthophotographs, and street-level imagery from Google Street View (GSV). Depending on the data source, different methodologies were used to identify the trees. In the first stage, the use of individual tree detection techniques in ALS point clouds was compared with the detection of objects (trees) on street level images using computer vision (CV) techniques. In both cases, a high success rate or recall (number of true positive with respect to all detectable trees) was obtained, where between 85.07% and 86.42% of the trees were well-identified, although many false positives (FPs) or trees that did not exist or that had been confused with other objects were always identified. In order to reduce these errors or FPs, a second stage was designed, where FP debugging was performed through two methodologies: (a) based on the automatic checking of all possible trees with street level images, and (b) through a machine learning binary classification model trained with spectral data from orthophotographs. After this second stage, the recall decreased to about 75% (between 71.43 and 78.18 depending on the procedure used) but most of the false positives were eliminated. The results obtained with both data sources were robust and accurate. We can conclude that the results obtained with the different methodologies are very similar, where the main difference resides in the access to the starting information. While the use of street-level images only allows for the detection of trees growing in trafficable streets and is a source of information that is usually paid for, the use of ALS and aerial orthophotographs allows for the location of trees anywhere in the city, including public and private parks and gardens, and in many countries, these data are freely available.
C1 [Rodriguez-Puerta, Francisco] Univ Valladolid, EiFAB iuFOR, Campus Duques De Soria S-N, Soria 42004, Spain.
   [Barrera, Carlos; Garcia, Borja; Perez-Rodriguez, Fernando] Fora Forest Technol sll, Campus Duques Soria S-N, Soria 42004, Spain.
   [Garcia-Pedrero, Angel M.] Univ Politecn Madrid, Dept Comp Architecture & Technol, E-28660 Madrid, Spain.
   [Garcia-Pedrero, Angel M.] Univ Politecn Madrid, Ctr Biomed Technol, Madrid 28223, Spain.
C3 Universidad de Valladolid; Universidad de Valladolid; Universidad
   Politecnica de Madrid; Universidad Politecnica de Madrid; Centro de
   Tecnologia Biomedica (CTB)
RP Rodríguez-Puerta, F (corresponding author), Univ Valladolid, EiFAB iuFOR, Campus Duques De Soria S-N, Soria 42004, Spain.
EM francisco.rodriguez.puerta@uva.es; carlos.barrera@fora.es;
   borja.garcia@fora.es; fernando.perez@fora.es; angelmario.garcia@upm.es
RI García Pedrero, Angel/JYQ-4908-2024; Barrera, Carlos/MIT-2394-2025;
   Rodríguez-Puerta, Francisco/AAM-9387-2020; Perez-Rodriguez,
   Fernando/AAG-2176-2019
OI Garcia Pascual, Borja/0000-0003-4165-613X; Rodriguez-Puerta,
   Francisco/0000-0002-4844-1759; Perez-Rodriguez,
   Fernando/0000-0001-7825-7824; Garcia-Pedrero, Angel/0000-0002-6848-481X
FU Government of Spain, through the Ministry of Economy and Enterprise
   [TSI-100909-2019-62]
FX This research was funded by the Government of Spain, through the
   Ministry of Economy and Enterprise, grant number TSI-100909-2019-62.
CR Berland A, 2017, URBAN FOR URBAN GREE, V21, P11, DOI 10.1016/j.ufug.2016.11.006
   Brandtberg T, 1998, MACH VISION APPL, V11, P64, DOI 10.1007/s001380050091
   Branson S, 2018, ISPRS J PHOTOGRAMM, V135, P13, DOI 10.1016/j.isprsjprs.2017.11.008
   Cai BY, 2018, IEEE INT CONGR BIG, P49, DOI 10.1109/BigDataCongress.2018.00014
   Cinnamon J, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10070471
   Dalponte M, 2016, METHODS ECOL EVOL, V7, P1236, DOI 10.1111/2041-210X.12575
   Duarte Fabio., 2018, Humanizing Digital Reality, P59
   Ferraz A, 2016, REMOTE SENS ENVIRON, V183, P318, DOI 10.1016/j.rse.2016.05.028
   Ferraz A, 2012, REMOTE SENS ENVIRON, V121, P210, DOI 10.1016/j.rse.2012.01.020
   Forsyth David, 2011, Computer vision: A modern approach, VSecond, P1
   Genuer R, 2015, R J, V7, P19
   Gomes MF, 2018, REMOTE SENS ENVIRON, V211, P184, DOI 10.1016/j.rse.2018.04.002
   Gonzalez R.C., 2017, Digital Image Processing
   Google, 2012, GOOGL STREET VIEW IM
   Goutte C, 2005, LECT NOTES COMPUT SC, V3408, P345
   Graser A., 2016, Learning QGIS
   Gupta S, 2010, REMOTE SENS-BASEL, V2, P968, DOI 10.3390/rs2040968
   Hamstead Z., 2021, Resilient Urban Futures, DOI 10.1007/978-3-030-63131-4_6
   Hansen EH, 2015, REMOTE SENS-BASEL, V7, P788, DOI 10.3390/rs70100788
   Hanssen F., 2019, MAPPING URBAN TREE C
   Hanssen F, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108007
   He K., 2017, IEEE INT C COMPUT VI, DOI [10.1109/iccv.201, DOI 10.1109/ICCV.2017.322]
   Holopainen M., P 2011 JOINT URB REM, P29
   Hornik K, 2012, WIRES COMPUT STAT, V4, P394, DOI 10.1002/wics.1212
   Iwaniec D.M., 2021, RESILIENT URBAN FUTU
   Juel A, 2015, INT J APPL EARTH OBS, V42, P106, DOI 10.1016/j.jag.2015.05.008
   Kang J, 2018, ISPRS J PHOTOGRAMM, V145, P44, DOI 10.1016/j.isprsjprs.2018.02.006
   Kansanen K, 2019, ISPRS J PHOTOGRAMM, V152, P66, DOI 10.1016/j.isprsjprs.2019.04.007
   Ke YH, 2011, INT J REMOTE SENS, V32, P4725, DOI 10.1080/01431161.2010.494184
   Keller Julie Kjeldsen-Kragh, 2012, Arboriculture & Urban Forestry, V38, P24
   Keralis JM, 2020, BMC PUBLIC HEALTH, V20, DOI 10.1186/s12889-020-8300-1
   Kuhn M, 2008, J STAT SOFTW, V28, P1, DOI 10.18637/jss.v028.i05
   Li X., 2019, MODELING SIMULATION
   Li XJ, 2017, LECT NOTES GEOINF CA, P341, DOI 10.1007/978-3-319-57336-6_24
   Li XJ, 2018, LANDSCAPE URBAN PLAN, V169, P81, DOI 10.1016/j.landurbplan.2017.08.011
   Li XJ, 2015, URBAN FOR URBAN GREE, V14, P675, DOI 10.1016/j.ufug.2015.06.006
   Lin TY, 2014, LECT NOTES COMPUT SC, V8693, P740, DOI 10.1007/978-3-319-10602-1_48
   Lindberg E, 2014, IEEE J-STARS, V7, P3174, DOI 10.1109/JSTARS.2014.2331276
   Lumnitz S, 2021, ISPRS J PHOTOGRAMM, V175, P144, DOI 10.1016/j.isprsjprs.2021.01.016
   Ma L, 2019, ISPRS J PHOTOGRAMM, V152, P166, DOI 10.1016/j.isprsjprs.2019.04.015
   Maes MJA, 2019, ENVIRON SCI POLICY, V93, P181, DOI 10.1016/j.envsci.2018.12.010
   Matasci G, 2018, FOR ECOSYST, V5, DOI 10.1186/s40663-018-0146-y
   McGaughey RJ., 2023, FUSION/LDV: software for LIDAR data analysis and visualization
   McHale M. R., 2009, Urban Ecosystems, V12, P95, DOI 10.1007/s11252-009-0081-3
   Middel A, 2019, LANDSCAPE URBAN PLAN, V183, P122, DOI 10.1016/j.landurbplan.2018.12.001
   Mohan M, 2021, OPEN GEOSCI, V13, P1028, DOI 10.1515/geo-2020-0290
   Mohan M, 2019, ECOL MODEL, V409, DOI 10.1016/j.ecolmodel.2019.108736
   Mohan M, 2017, FORESTS, V8, DOI 10.3390/f8090340
   MYNENI RB, 1995, IEEE T GEOSCI REMOTE, V33, P481, DOI 10.1109/36.377948
   Naik N., 2015, NBER Working Paper No. 21620
   Nielsen Anders B., 2014, Arboriculture & Urban Forestry, V40, P96
   Pearlmutter D, 2017, FUTURE CITY, V7, pV
   Picos J, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12050885
   Plowright A., R PACKAGE FORESTTOOL
   Popescu SC, 2002, COMPUT ELECTRON AGR, V37, P71, DOI 10.1016/S0168-1699(02)00121-7
   Chen Q, 2006, PHOTOGRAMM ENG REM S, V72, P923, DOI 10.14358/PERS.72.8.923
   Rodríguez-Puerta F, 2020, DRONES-BASEL, V4, DOI 10.3390/drones4020021
   Roussel JR, 2020, REMOTE SENS ENVIRON, V251, DOI 10.1016/j.rse.2020.112061
   Rousselet J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074918
   Seiferling I, 2017, LANDSCAPE URBAN PLAN, V165, P93, DOI 10.1016/j.landurbplan.2017.05.010
   Shapiro A, 2018, NEW MEDIA SOC, V20, P1201, DOI 10.1177/1461444816687293
   Silva C.A., 2017, rLiDAR: LiDAR Data Processing and Visualization.
   Silva CN, 2018, ADV CIV IND ENG BOOK, P1, DOI 10.4018/978-1-5225-5999-3
   Sokolova M, 2006, LECT NOTES COMPUT SC, V4304, P1015
   Solberg S, 2006, PHOTOGRAMM ENG REM S, V72, P1369, DOI 10.14358/PERS.72.12.1369
   Stubbings P, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11121395
   Tanhuanpää T, 2014, URBAN FOR URBAN GREE, V13, P562, DOI 10.1016/j.ufug.2014.03.005
   Timilsina S, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12183017
   Rabadán MAV, 2016, FOREST SYST, V25, DOI 10.5424/fs/2016251-05790
   Voulodimos A, 2018, COMPUT INTEL NEUROSC, V2018, DOI 10.1155/2018/7068349
   Wallace L, 2014, IEEE T GEOSCI REMOTE, V52, P7619, DOI 10.1109/TGRS.2014.2315649
   Wang L, 2004, PHOTOGRAMM ENG REM S, V70, P351, DOI 10.14358/PERS.70.3.351
   Wang WJ, 2018, URBAN FOR URBAN GREE, V35, P211, DOI 10.1016/j.ufug.2018.09.008
   Wegner JD, 2016, PROC CVPR IEEE, P6014, DOI 10.1109/CVPR.2016.647
   Wu JW, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091403
   Wu Y., Detectron2
   Wulder M, 2000, REMOTE SENS ENVIRON, V73, P103, DOI 10.1016/S0034-4257(00)00101-2
   Xiao W, 2016, IEEE J-STARS, V9, P3467, DOI 10.1109/JSTARS.2016.2541780
   Yin L, 2016, APPL GEOGR, V76, P147, DOI 10.1016/j.apgeog.2016.09.024
   Yu XW, 2015, REMOTE SENS-BASEL, V7, P15933, DOI 10.3390/rs71215809
   Zaforemska A., 2019, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, VXLII-2/W13, P657, DOI [DOI 10.5194/ISPRS-ARCHIVES-XLII-2-W13-657-2019, 10.5194/isprs-archives-XLII-2-W13-657-2019]
   Zhang CY, 2015, REMOTE SENS-BASEL, V7, P7892, DOI 10.3390/rs70607892
   Zhang ZC, 2017, J PLANT ECOL, V10, P970, DOI 10.1093/jpe/rtw126
NR 83
TC 9
Z9 9
U1 6
U2 53
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 1424-8220
J9 SENSORS-BASEL
JI Sensors
PD MAY
PY 2022
VL 22
IS 9
AR 3269
DI 10.3390/s22093269
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 1L5IN
UT WOS:000799321800001
PM 35590958
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Horn, F
   Elagib, NA
AF Horn, Finlay
   Elagib, Nadir Ahmed
TI Building socio-hydrological resilient cities against flash floods: Key
   challenges and a practical plan for arid regions
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Urban flash flood; Integrated flash flood management; Management
   challenges; Socio-hydrology; Resilience; Sudan
ID CLIMATE-CHANGE; RAINFALL; RISK; SAHEL
AB The objective of this research is to improve the understanding and recognition of the management challenges to flash flooding hazards and the potential adaptive measures within the arid urban areas through a socio-hydrological framework. Considering the capital of Sudan, Khartoum, as an example of urban arid areas with increasing flash flood risk, the analysis was founded on expert views and opinions collected from a range of different flood management actors following the 2013 and 2014 flash flood events. The qualitative research methods included participant observation, expert interviews and focus groups. The main themes of management challenges recorded included weak institutional capacity, bad governance, limited resources, and poor urban planning. These four themes, in turn, included different types of challenges, among which lack of: civil society engagement and coordination of actors, political will, data and tools, and effective urban development strategy shared the highest number of comments from the professional actors in each theme, respectively. These findings presented a management perspective to the lessons previously established and learned from an impact assessment. Accordingly, the amalgamation of all the lessons learned from the flood research findings enabled a suitable Master Flash Flood Management Plan (MaFFMaP) to be proposed as a final product. This plan would operate within an Integrated Flash Flood Management (IFFM) framework. The facets of the MaFFMaP include steps toward improving the quantity and quality of data resources regarding this hazard, aspects for use of these new datasets within a mixed-measure (structural and non-structural) approach from the authorities, and programmes for building community and civil society capacity through improving awareness and engagement. Furthermore, it is intended that this plan would be a replicable design, which could therefore be adopted and implemented in the wider context of the urban arid regions.
C1 [Horn, Finlay; Elagib, Nadir Ahmed] TH Hsch Koh, Inst Technol & Resources Management Trop & Subtro, Betzdorferstr 2, D-50679 Cologne, Germany.
RP Elagib, NA (corresponding author), TH Hsch Koh, Inst Technol & Resources Management Trop & Subtro, Betzdorferstr 2, D-50679 Cologne, Germany.
EM nadir.elagib@th-koeln.de
RI Elagib, Nadir/J-3413-2017
OI Elagib, Nadir/0000-0001-6252-7586
FU Enquiry-Based Learning (EBL)-Nexus project [56267549]; German Academic
   Exchange Service (DAAD)
FX The authors are thankful to the staff members from the Water Research
   Centre (WRC) of University of Khartoum for the kind support during the
   research visit made by Finlay Horn to Khartoum. This field visit was
   funded through the Enquiry-Based Learning (EBL)-Nexus project (Reference
   # 56267549), which was financed by the German Academic Exchange Service
   (DAAD).
CR [Anonymous], QUALITATIVE RES BUSI
   [Anonymous], 2009, INT FLOOD MAN
   Babiker A., 1982, GeoJournal, V6, P69, DOI [10.1007/BF00446596, DOI 10.1007/BF00446596]
   Bajracharya SR, 2017, J FLOOD RISK MANAG, V10, P5, DOI 10.1111/jfr3.12133
   Bannaga S. E. I., 2012, 48 ISOCARP C
   Berg B. L., 2004, Qualitative research methods for the social sciences, V5th ed.
   Billi P, 2015, NAT HAZARDS, V76, P1373, DOI 10.1007/s11069-014-1554-0
   Casse C, 2015, P INT ASS HYDROL SCI, V370, P117, DOI 10.5194/piahs-370-117-2015
   Danumah J.H., 2016, GEOENVIRONMENTAL DIS, DOI [10.1186/s40677-016-0044-y, DOI 10.1186/S40677-016-0044-Y, 10.1186/s40677]
   Di Baldassarre G, 2013, HYDROL EARTH SYST SC, V17, P3295, DOI 10.5194/hess-17-3295-2013
   Di Baldassarre G, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL045467
   Dorussen H, 2005, EUR UNION POLIT, V6, P315, DOI 10.1177/1465116505054835
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   El Nour A H, 1989, GeoJournal, V18, P369
   Eltayeb G. E., 2003, HABITAT CASE STUDIES
   Epule TE, 2018, GEOJOURNAL, V83, P1411, DOI 10.1007/s10708-017-9831-6
   Field C.B., 2012, SPECIAL REPORT IPCC
   Hafazalla A. A., 2008, P ARCH 3 SCI C KHART
   Houston D., 2011, Pluvial (rain-related) flooding in urban areas: the invisible hazard
   Kundzewicz Z. W., 2002, Natural Resources Forum, V26, P263, DOI 10.1111/1477-8947.00029
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Hoang LP, 2018, AMBIO, V47, P635, DOI 10.1007/s13280-017-1009-4
   Mahmood MI, 2017, SCI TOTAL ENVIRON, V601, P1031, DOI 10.1016/j.scitotenv.2017.05.260
   Mahmoud WH, 2014, RESOUR CONSERV RECY, V91, P89, DOI 10.1016/j.resconrec.2014.07.014
   McCallum I, 2016, INT J DISAST RISK SC, V7, P198, DOI 10.1007/s13753-016-0086-5
   McEwen L, 2012, HYDROL RES, V43, P675, DOI 10.2166/nh.2012.022
   Saunders M., 2003, Research Method for Business Students
   Schelfaut K, 2011, ENVIRON SCI POLICY, V14, P825, DOI 10.1016/j.envsci.2011.02.009
   Sivapalan M, 2012, HYDROL PROCESS, V26, P1270, DOI 10.1002/hyp.8426
   Stewart D. W., 2014, Focus groups: Theory and practice, V3rd
   Strauss AL, 1990, BASICS QUALITATIVE R
   SUSSMAN S, 1991, J APPL SOC PSYCHOL, V21, P1772, DOI 10.1111/j.1559-1816.1991.tb00503.x
   Tarhule A, 2005, CLIMATIC CHANGE, V72, P355, DOI 10.1007/s10584-005-6792-4
   Tschakert P, 2010, CLIMATIC CHANGE, V103, P471, DOI 10.1007/s10584-009-9776-y
   Verhoeven H, 2011, DEV CHANGE, V42, P679, DOI 10.1111/j.1467-7660.2011.01707.x
   Viglione A, 2014, J HYDROL, V518, P71, DOI 10.1016/j.jhydrol.2014.01.018
   Wilby RL, 2012, PROG PHYS GEOG, V36, P348, DOI 10.1177/0309133312438908
   World Meteorological Organization (VVMO), 2008, FLOOD MAN TOOLS SER
NR 38
TC 22
Z9 24
U1 3
U2 65
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD SEP
PY 2018
VL 564
BP 125
EP 132
DI 10.1016/j.jhydrol.2018.07.001
PG 8
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 GU5HI
UT WOS:000445316200011
DA 2025-04-22
ER

PT J
AU Xie, ZQ
   Hu, DH
   Jiang, FS
   Fu, XF
   Li, R
   Zheng, DY
   Zhao, L
   Xu, JR
   Yuan, XD
   Bao, YL
   Zhou, HB
   Wang, B
   Wang, Q
AF Xie, Zhiqiang
   Hu, Donghui
   Jiang, Fengshan
   Fu, Xingfeng
   Li, Rong
   Zheng, Daoyang
   Zhao, Lei
   Xu, Jiarui
   Yuan, Xiangdong
   Bao, Yinli
   Zhou, Haibin
   Wang, Bin
   Wang, Qing
TI Assessment of urban flood resilience based on the socio-ecological
   composite index model: a case study in Wuhua District, Kunming City,
   China
SO WATER SCIENCE AND TECHNOLOGY
LA English
DT Article
DE entropy weight method; flood resilience; GIS analysis; spatiotemporal
   analysis; weighting indicators
AB Global climate change and rapid urbanization have increased the frequency of flooding, making urban flood resilience a critical objective. This article introduces a methodology for assessing urban flood resilience, utilizing a social-ecological synthesis index that integrates geographical and temporal data with GIS. The study focuses on ten administrative subdistricts in Wuhua District, Kunming City, China, and selects 18 social-ecological indicators. These indicators, chosen from social and ecological perspectives, are weighted using the entropy weight method to determine their significance in the assessment system. By combining scores for each subdistrict, the study quantifies flood resilience and creates a spatial distribution map using ArcGIS. Key findings reveal that out of the ten administrative subdistricts, five in Wuhua District, particularly in the core urban area of Kunming, demonstrate strong overall flood resilience. Influenced by social-ecological indicators, there is significant spatial differentiation in flood resilience within Wuhua District, with a decreasing trend radiating from the city center to areas farther from the urban core. The research indicates that regions with well-established transportation infrastructure, a wide distribution of government institutions, improved water management facilities, and a substantial population with higher education levels contribute significantly to enhancing urban flood resilience.
C1 [Xie, Zhiqiang; Hu, Donghui; Jiang, Fengshan; Fu, Xingfeng; Zheng, Daoyang] Yunnan Univ, Sch Geosci, Kunming, Yunnan, Peoples R China.
   [Li, Rong; Xu, Jiarui] Yunnan Univ, Int Inst River & Ecol Secur, Kunming, Yunnan, Peoples R China.
   [Zhao, Lei; Yuan, Xiangdong; Bao, Yinli; Wang, Bin; Wang, Qing] Kunming Surveying & Mapping Management Ctr, Room 502,Bldg 2,Municipal Adm Ctr, Kunming, Peoples R China.
   [Zhou, Haibin] Kunming Inst Surveying & Mapping, 16 Renmin Lane,East Renmin Rd, Kunming, Peoples R China.
C3 Yunnan University; Yunnan University
RP Zhao, L (corresponding author), Kunming Surveying & Mapping Management Ctr, Room 502,Bldg 2,Municipal Adm Ctr, Kunming, Peoples R China.
EM kmzhaolei@126.co
RI Xu, Jiarui/HDO-3974-2022; Fu, Xingfeng/LNP-5549-2024; Zhang,
   Xitian/AAX-5010-2021; Zheng, Daoyang/JHU-5339-2023; Zhou,
   Zhou/GYU-9809-2022
OI Zhou, Zhou/0000-0002-4787-9660
FU National Natural Science Foundation of China [72361035]; Open Research
   Fund of the Yangtze River Academy of Sciences of the Yangtze River Water
   Conservancy Commission [CKWV20221029/KY, CZ22622203]
FX This article has received funding from the National Natural Science
   Foundation of China (72361035), the Open Research Fund of the Yangtze
   River Academy of Sciences of the Yangtze River Water Conservancy
   Commission (CKWV20221029/KY), and the project of the Yunnan Provincial
   Industry-Teaching Integration Postgraduate Joint Cultivation Base
   (CZ22622203). In the process of writing this article, we would like to
   thank Kunming Surveying and Mapping Management Center, Kunming Drainage
   Facility Management Limited Liability Company, Kunming Mapping Research
   Institute, and Guangzhou Southern Surveying and Mapping Technology
   Company Limited for the data and technical support given in the process
   of writing this article.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Allenby B, 2005, SCIENCE, V309, P1034, DOI 10.1126/science.1111534
   Alliance R, 2007, Urban Resilience Research Prospectus
   Batica J., 2015, Methodology for flood resilience assessment in urban environments and mitigation strategy development
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Bibi TS, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e12955
   Bibi TS, 2023, J HYDROL-REG STUD, V45, DOI 10.1016/j.ejrh.2022.101291
   Bibi TS, 2022, J HYDROL-REG STUD, V44, DOI 10.1016/j.ejrh.2022.101267
   Chao L., 2020, CHUNCHENG EVENING NE
   Chen JX, 2023, J HYDROL, V620, DOI 10.1016/j.jhydrol.2023.129397
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Davidson JL, 2013, ECOL SOC, V18, DOI 10.5751/ES-05607-180304
   Enjia Z., 2018, SHARING QUALITY P 20, P755
   Gain AK, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01692-9
   Gang L., 2018, J SHANDONG U SCI TEC, V20, P83
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jiang FS, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103759
   Johansen C, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000329
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Li ZJ, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-11436-w
   Limin Z., 2015, THOUGHT FRONT, V41, P50
   Linsen W., 2017, CHINA WATER SUPPLY D, V33, P115
   Liu F, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15086930
   Peng JB, 2023, J HYDROL-REG STUD, V47, DOI 10.1016/j.ejrh.2023.101384
   Qi X., 2019, ZHEJIANG SOCIAL SCI, V40-46, P156, DOI [10.14167/j.zjss.2019.05.005, DOI 10.14167/J.ZJSS.2019.05.005]
   Satour N, 2021, NAT HAZARD EARTH SYS, V21, P1101, DOI 10.5194/nhess-21-1101-2021
   Shao Y., 2015, Urban Plan. Int, V30, P48
   Shuai W., 2020, RESOURCE SCI
   Shuxia S., 2016, CHINA FLOOD CONTROL, V26, P83, DOI [10.16867/j.cnki.cfdm.2016.06.021, DOI 10.16867/J.CNKI.CFDM.2016.06.021]
   Tian C., 2019, SCI TECHNOLOGY HERAL, V37, P26
   Tingting Z., 2018, J WUXI COLL COMMERCE, V18, P1
   Ullah K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229153
   Vázquez-González C, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102232
   Wang P., 2021, NAT HAZARDS, V4
   Wang S. B., 2016, EXPLORATION CONTROVE, V03, P4
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Xicai Z., 2022, Meteorology and Environmental Science, V45, P52, DOI [10.16765/j.cnki.1673-7148.2022.02.006, DOI 10.16765/J.CNKI.1673-7148.2022.02.006]
   Yang S., 2019, 2019 URB DEV PLANN P, P1954
   Yang S., 2019 P URB DEV PLANN, V9
   Yi C., 2020, GEOGRAPHIC RES DEV, V39, P67
   Yi C., 2018, URBAN ARCHITECTURE, V35, P32
   Yuanyuan X., 2017, PROGR GEOGRAPHICAL S, V36, P986, DOI [10.18306/dlkxjz.2017.08.007, DOI 10.18306/DLKXJZ.2017.08.007]
   Zhang M., 2018, Urban Probl, P27
   Zhao FD., 2018, J E CHINA U SCI TECH, V33, P17
   Zhao ZX, 2023, ADV SPACE RES, V72, P4324, DOI 10.1016/j.asr.2023.08.026
   Zhiwei D., 2019, TROPICAL GEOGRAPHY, V39, P170
   Ziegelaar M, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9110193
NR 49
TC 1
Z9 1
U1 31
U2 75
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 JAN 15
PY 2024
VL 89
IS 2
BP 252
EP 270
DI 10.2166/wst.2023.413
EA DEC 2023
PG 19
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA E4U8H
UT WOS:001130248100001
PM 39219129
OA gold
DA 2025-04-22
ER

PT J
AU Lin, YZ
   Peng, C
   Shu, JF
   Zhai, W
   Cheng, JQ
AF Lin, Yingzi
   Peng, Chong
   Shu, Jianfeng
   Zhai, Wei
   Cheng, Jianquan
TI Spatiotemporal characteristics and influencing factors of urban
   resilience efficiency in the Yangtze River Economic Belt, China
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Urban resilience; Resilience efficiency; Evaluation; Influencing
   factors; Yangtze River Economic Belt; Entropy weight-TOPSIS method; SBM
   model; GWR model
ID DISASTER-RESILIENCE; ECO-EFFICIENCY; URBANIZATION; INDICATORS;
   MITIGATION; PATTERNS
AB Urban resilience efficiency is an important indicator to explore the relationship between resource consumption and urban resilience, shedding new light on the study of urban sustainable development. Based on the panel data of 2008, 2012, and 2017, this paper makes a spatiotemporal assessment on the urban resilience efficiency of 126 cities in the Yangtze River Economic Belt (YREB) in China by applying an entropy weight-TOPSIS method and a slack-based measure (SBM) model. Combined with the analysis of a geographically weighted regression model (GWR), the influencing factors on resilience efficiency are also investigated. The results show that both the resource consumption index (RC, inputs) and the urban resilience index (UR, outputs) presented a steady upward trend, and their spatial distribution characteristics were similar, showing a gradual decrease from the eastern coastal cities to the central and western inland cities. Derived from inputs and outputs, the mean values of resilience efficiency index (RE) in three periods were 0.3149, 0.2906, and 0.1625, respectively, revealing that there had been a noticeable decline. Spatially, its spatial distribution has evolved from a relatively balanced pattern to an unbalanced one, showing a gradual decrease from west to east. The results of the GWR model analysis indicate that the total electricity consumption and area of construction land had a considerable correlation with the overall urban resilience of the YREB. Furthermore, total quantity of water supply and science and technology (S&T) expenditure continued to be the main driving factors on urban resilience of the upstream cities. The midstream regions mainly depended on the scale of construction land, and the influencing factors are relatively single. The influencing factors in the downstream areas have changed from dominance of resources and capital factors to the single dominance of resource factors, and total electricity consumption had a strong explanatory power. Based on these findings, we had put forward the overall and local regional policy implications.
C1 [Lin, Yingzi; Peng, Chong; Shu, Jianfeng] Huazhong Univ Sci & Technol, Sch Architecture & Urban Planning, Wuhan 430074, Peoples R China.
   [Zhai, Wei] Hong Kong Baptist Univ, Dept Geog, Kowloon, Hong Kong, Peoples R China.
   [Cheng, Jianquan] Manchester Metropolitan Univ, Dept Nat Sci, Manchester M1 5GD, Lancs, England.
C3 Huazhong University of Science & Technology; Hong Kong Baptist
   University; Manchester Metropolitan University
RP Peng, C (corresponding author), Huazhong Univ Sci & Technol, Sch Architecture & Urban Planning, Wuhan 430074, Peoples R China.
EM pengchong@hust.edu.cn
RI Cheng, Jianquan/AAQ-8796-2021; Peng, Chong/JNE-9569-2023
OI Cheng, Jianquan (James)/0000-0001-9778-9009; Lin,
   Yingzi/0000-0002-2202-5802
FU National Natural Science Foundation of China [51778253]
FX This work was supported by the National Natural Science Foundation of
   China (51778253).
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Allan P., 2011, Journal of Landscape Architecture, V6, P34, DOI [10.1080/18626033.2011.9723453, DOI 10.1080/18626033.2011.9723453]
   [Anonymous], 2017, TRENDS URBAN RESILIE
   Asadzadeh A, 2015, INT J DISAST RISK RE, V14, P504, DOI 10.1016/j.ijdrr.2015.10.002
   Bastaminia A, 2017, INT J DISAST RISK RE, V22, P269, DOI 10.1016/j.ijdrr.2017.01.020
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   CHARNES A, 1978, EUR J OPER RES, V2, P429, DOI 10.1016/0377-2217(78)90138-8
   Chiu CR, 2012, ENERG ECON, V34, P1392, DOI 10.1016/j.eneco.2012.06.003
   Deng XZ, 2014, ENVIRONMENT, V56, P12, DOI 10.1080/00139157.2014.901836
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Fang C., 2019, World Reg. Stud, V28, P77, DOI DOI 10.3969/J.ISSN.1004-9479.2019.06.2018403
   Fang CL, 2017, J GEOGR SCI, V27, P1431, DOI 10.1007/s11442-017-1445-x
   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
   Fu X, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125146
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Heinimann HR, 2017, NATO SCI PEACE SECUR, P147, DOI 10.1007/978-94-024-1123-2_5
   Huang JH, 2018, ECOL INDIC, V85, P674, DOI 10.1016/j.ecolind.2017.10.040
   Jin G, 2018, J GEOGR SCI, V28, P1113, DOI 10.1007/s11442-018-1545-2
   Khazai B, 2018, INT J DISAST RISK RE, V31, P604, DOI 10.1016/j.ijdrr.2018.06.012
   Lamichhane S, 2021, J CLEAN PROD, V287, DOI 10.1016/j.jclepro.2020.125040
   Li SC, 2010, ENVIRON MODELL SOFTW, V25, P1789, DOI 10.1016/j.envsoft.2010.06.011
   Liu B, 2020, ENVIRON SCI POLLUT R, V27, P29055, DOI 10.1007/s11356-020-09281-3
   Lu YW, 2021, HUM ECOL RISK ASSESS, V27, P921, DOI 10.1080/10807039.2020.1788918
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   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
   Mickwitz P, 2006, J CLEAN PROD, V14, P1603, DOI 10.1016/j.jclepro.2005.05.025
   Mou Y, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125719
   Ning J, 2018, J GEOGR SCI, V28, P547, DOI 10.1007/s11442-018-1490-0
   Oh DH, 2010, ENERG ECON, V32, P146, DOI 10.1016/j.eneco.2009.07.006
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Ouyang M, 2012, CHAOS, V22, DOI 10.1063/1.4737204
   [彭翀 Peng Chong], 2021, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V30, P1795
   Pickett STA, 2014, BUILD RES INF, V42, P143, DOI 10.1080/09613218.2014.850600
   Qian XY, 2021, ENVIRON SCI POLLUT R, V28, P31312, DOI 10.1007/s11356-021-12763-7
   Qin B, 2014, CHINA ECON REV, V30, P495, DOI 10.1016/j.chieco.2014.07.008
   Ren SG, 2018, J CLEAN PROD, V173, P245, DOI 10.1016/j.jclepro.2016.08.113
   Sanchez AX, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0074-z
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Tone K, 2002, EUR J OPER RES, V143, P32, DOI 10.1016/S0377-2217(01)00324-1
   Wang M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010280
   Wang SB, 2020, ENERGY, V197, DOI 10.1016/j.energy.2020.117195
   Wang SJ, 2014, APPL ENERG, V136, P738, DOI 10.1016/j.apenergy.2014.09.059
   Wu CY, 2017, HABITAT INT, V63, P67, DOI 10.1016/j.habitatint.2017.03.012
   Wu DC, 2020, J CLEAN PROD, V261, DOI 10.1016/j.jclepro.2020.121089
   Xiao W, 2020, ECOL INDIC, V109, DOI 10.1016/j.ecolind.2019.105843
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yu BB, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110239
   Yu JQ, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104143
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhang Y, 2019, ECOL INDIC, V98, P349, DOI 10.1016/j.ecolind.2018.11.006
   Zhou CS, 2018, ECOL INDIC, V86, P67, DOI 10.1016/j.ecolind.2017.12.011
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
   Zhu W, 2019, J CLEAN PROD, V234, P638, DOI 10.1016/j.jclepro.2019.06.157
NR 61
TC 25
Z9 26
U1 17
U2 178
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 JUN
PY 2022
VL 29
IS 26
BP 39807
EP 39826
DI 10.1007/s11356-021-18235-2
EA FEB 2022
PG 20
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 1J5UF
UT WOS:000750720700007
PM 35113377
DA 2025-04-22
ER

PT J
AU Zhong, M
   Lin, KR
   Tang, GP
   Zhang, Q
   Hong, Y
   Chen, XH
AF Zhong, Ming
   Lin, Kairong
   Tang, Guoping
   Zhang, Qian
   Hong, Yang
   Chen, Xiaohong
TI A Framework to Evaluate Community Resilience to Urban Floods: A Case
   Study in Three Communities
SO SUSTAINABILITY
LA English
DT Article
DE resilience; evaluation indicators; strategy selection; analytic network
   process; urban floods; community
ID ANALYTIC NETWORK PROCESS; FUZZY DELPHI METHOD; SOCIAL VULNERABILITY;
   RIVER-BASIN; INDICATORS; HAZARDS
AB Community resilience is a key index for describing the response of human habitat systems to hazards. Evaluating and enhancing the community resilience requires indicators, identification, and quantitative measurements, especially for urban flooding management. In this study, an advanced index framework for measuring community resilience to urban flooding is proposed, integrating the fuzzy Delphi method (FDM) and the analytic network process (ANP). Seven indicators (public facilities, spatial structure of land use, flood management organizations, rescue capability, accuracy of weather forecasts, vulnerable population, and individual capability) of community resilience are identified using the fuzzy Delphi method. The indicators are classified into four dimensions, and the weights are determined by the analytic network process. This approach is applied to three different types of communities, namely, a newly built neighborhood, an ancient college, and a flood-prone village in the city of Nanning, China, using data collected from questionnaires, interviews, and field investigations. The neighborhood (with a total averaged score of 2.13) has the largest community resilience to urban flooding, followed by the college (1.8), and finally the village (0.91). Flooding management organizations play a leading role in the urban flooding resilience of the neighborhood and college, while the vulnerable population has a great impact on the community resilience of the village. Results of the strategy analysis suggest that science and technology improvement (0.543) is more important than social-economic status improvement (0.325) and built-environment improvement (0.132) for mitigating urban hazards in Nanning. The proposed framework in this study contributes to the interdisciplinary understanding of community resilience for urban flooding and is expected to be applied to sustain urban planning and flood evacuations.
C1 [Zhong, Ming; Tang, Guoping; Zhang, Qian] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China.
   [Lin, Kairong; Chen, Xiaohong] Sun Yat Sen Univ, Sch Civil Engn, Guangzhou 510275, Peoples R China.
   [Hong, Yang] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73072 USA.
C3 Sun Yat Sen University; Sun Yat Sen University; University of Oklahoma
   System; University of Oklahoma - Norman
RP Zhong, M (corresponding author), Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China.; Lin, KR (corresponding author), Sun Yat Sen Univ, Sch Civil Engn, Guangzhou 510275, Peoples R China.
EM zhongm37@mail.sysu.edu.cn; linkr@mail.sysu.edu.cn;
   tanggp3@mail.sysu.edu.cn; zhangq375@mail2.sysu.edu.cn; yanghong@ou.edu;
   eescxh@mail.sysu.edu.cn
RI Zhang, Qian/AAO-9963-2020; chen, xia/GYR-3948-2022; Hong,
   Yang/D-5132-2009
OI Lin, Kairong/0000-0001-6533-3357; chen, xiaohong/0000-0003-0809-5297;
   Hong, Yang/0000-0001-8720-242X
FU National Key R&D Program of China [2017YFC0405900]; National Natural
   Science Foundation of China [51709286, 51779279]; outstanding Youth
   Science Foundation of NSFC [51822908]; Guangdong Natural Science
   Foundation of China [2017A030310065]
FX The research was funded by the National Key R&D Program of China (grant
   No.2017YFC0405900), the National Natural Science Foundation of China
   (grant No. 51709286 and No. 51779279), the outstanding Youth Science
   Foundation of NSFC (grant No. 51822908), and the Guangdong Natural
   Science Foundation of China (grant No. 2017A030310065).
CR Afzali A, 2014, WATER RESOUR MANAG, V28, P2179, DOI 10.1007/s11269-014-0605-3
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Alshehri SA, 2015, NAT HAZARDS, V75, P2221, DOI 10.1007/s11069-014-1423-x
   Andric JM, 2017, INT J DISAST RISK RE, V22, P458, DOI 10.1016/j.ijdrr.2017.01.001
   [Anonymous], 2018, ALASKA EC TRENDS
   Bakkensen LA, 2017, RISK ANAL, V37, P982, DOI 10.1111/risa.12677
   Chan SL, 2014, SOC INDIC RES, V115, P387, DOI 10.1007/s11205-012-0225-3
   Chuang WC, 2018, J ENVIRON MANAGE, V213, P353, DOI 10.1016/j.jenvman.2018.01.083
   Cutter SL, 2013, J FLOOD RISK MANAG, V6, P332, DOI 10.1111/jfr3.12018
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   DALKEY N, 1963, MANAGE SCI, V9, P458, DOI 10.1287/mnsc.9.3.458
   Fenner R, 2019, WATER-SUI, V11, DOI 10.3390/w11051082
   Frigerio I, 2016, ENVIRON SCI POLICY, V63, P187, DOI 10.1016/j.envsci.2016.06.001
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   ISHIKAWA A, 1993, FUZZY SET SYST, V55, P241, DOI 10.1016/0165-0114(93)90251-C
   Joanna W., 2019, SUSTAINABILITY, V11, P1943
   Jordan E, 2013, NAT HAZARDS REV, V14, P21, DOI 10.1061/(ASCE)NH.1527-6996.0000087
   KLEIN, 2003, ENV HAZARDS, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Lai CG, 2016, J HYDROL, V542, P268, DOI 10.1016/j.jhydrol.2016.09.003
   Lima CHR, 2015, J HYDROL, V522, P594, DOI 10.1016/j.jhydrol.2015.01.009
   Ma ZL, 2011, EXPERT SYST APPL, V38, P1509, DOI 10.1016/j.eswa.2010.07.062
   Martín Y, 2017, NAT HAZARDS, V89, P367, DOI 10.1007/s11069-017-2969-1
   Miller F, 2010, ECOL SOC, V15
   Ministry of Water Resources of the People's Republic of China, 2017, ANN FLOOD DROUGHT HA
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Parkouhi SV, 2017, J CLEAN PROD, V161, P431, DOI 10.1016/j.jclepro.2017.04.175
   Qasim S, 2015, INT J DISAST RISK RE, V14, P373, DOI 10.1016/j.ijdrr.2015.09.001
   Rapaport C, 2018, INT J DISAST RISK RE, V31, P470, DOI 10.1016/j.ijdrr.2018.05.020
   Saaty T.L., 2005, THEORY APPL ANALYTIC
   Saharia M, 2017, J HYDROMETEOROL, V18, P397, DOI [10.1175/JHM-D-16-0082.1, 10.1175/jhm-d-16-0082.1]
   SARAVI S, 2019, WATER-SUI, V11, DOI DOI 10.3390/w11050973
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Spiliotis M, 2019, COMM COM INF SC, V1000, P349, DOI 10.1007/978-3-030-20257-6_29
   Spiliotis M, 2019, DESALIN WATER TREAT, V167, P398, DOI 10.5004/dwt.2019.24639
   The National Academy of Sciences, 2012, DIS RES NAT IMP COMM
   Toosi SLR, 2017, WATER RESOUR MANAG, V31, P2853, DOI 10.1007/s11269-017-1667-9
   Wisner B., 2003, ECON GEOGR, V72, P460, DOI [10.1111/j.1475-4959.2007.00244_3.x, DOI 10.1111/J.1475-4959.2007.00244_3.X]
   Yamane T., 1967, ELEMENTARY SAMPLING
   Zhang JK, 2017, J CLEAN PROD, V141, P409, DOI 10.1016/j.jclepro.2016.09.122
   Zhong M, 2019, WATER RESOUR MANAG, V33, P2537, DOI 10.1007/s11269-019-02266-z
NR 42
TC 40
Z9 42
U1 20
U2 147
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 2020
VL 12
IS 4
AR 1521
DI 10.3390/su12041521
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 KY3GT
UT WOS:000522460200239
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Joerin, J
   Shaw, R
   Takeuchi, Y
   Krishnamurthy, R
AF Joerin, Jonas
   Shaw, Rajib
   Takeuchi, Yukiko
   Krishnamurthy, Ramasamy
TI The adoption of a Climate Disaster Resilience Index in Chennai, India
SO DISASTERS
LA English
DT Article
DE Chennai; climate-related disaster; resilience; urbanisation
ID COMMUNITY RESILIENCE; VULNERABILITY; FRAMEWORK; METAPHOR; CITIES
AB Results derived from the Climate Disaster Resilience Index (CDRI)consisting of five dimensions (economic, institutional, natural, physical, and social), 25 parameters, and 125 variablesreflect the abilities of people and institutions to respond to potential climate-related disasters in Chennai, India. The findings of this assessment, applied in the 10 administrative zones of the city, reveal that communities living in the northern and older parts of Chennai have lower overall resilience as compared to the flourishing areas (vis-a-vis economic growth and population) along the urban fringes. The higher resilience of communities along the urban fringes suggests that urbanisation may not necessarily lead to a deterioration of basic urban services, such as electricity, housing, and water. This indication is confirmed by a strong statistical correlation between physical resilience and population growth in Chennai. The identification of the resilience of different urban areas of Chennai has the potential to support future planning decisions on the city's scheduled expansion.
C1 [Joerin, Jonas] Ctr Dev & Environm, Bern, Switzerland.
   [Shaw, Rajib; Takeuchi, Yukiko] Kyoto Univ, Grad Sch Global Environm Studies, Kyoto 6068501, Japan.
   [Krishnamurthy, Ramasamy] Univ Madras, Dept Appl Geol, Madras 600005, Tamil Nadu, India.
C3 University of Bern; Kyoto University; University of Madras
RP Joerin, J (corresponding author), Univ Bern, Ctr Dev & Environm, Hallerstr 10, CH-3012 Bern, Switzerland.
EM jonas.joerin@gmail.com
RI Shaw, Rajib/AAI-4834-2020
OI Shaw, Rajib/0000-0003-3153-1800; Joerin, Jonas/0000-0003-1834-8112
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
   Alam M, 2007, ENVIRON URBAN, V19, P81, DOI 10.1177/0956247807076911
   [Anonymous], 2007, WORDS ACT GUID IMPL
   [Anonymous], STAT WORLD CIT 2008
   [Anonymous], SHARES RISK COMPLEX
   [Anonymous], 2007, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters
   [Anonymous], 2010, The World Urbanization Prospects, The 2009 Revision
   [Anonymous], 8 FOR DKKV CEDIM DIS
   [Anonymous], MEG STRESS MEG CIT C
   [Anonymous], 2026, Second Master Plan for Chennai Metropolitan Area
   [Anonymous], RES YOUR COAS COMM G
   [Anonymous], RES URB CLIM CHALL I
   [Anonymous], GUID IMPL HYOG FRAM
   [Anonymous], POL BRIEF SER
   [Anonymous], 2007, ADAPTING CITIES CLIM
   [Anonymous], MADRAS REDISCOVERED
   [Anonymous], CHARACTERISTICS DIS
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cross JA., 2001, ENV HAZARDS, V3, P63, DOI DOI 10.1016/S1464-2867(01)00020-1
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Sherbinin A, 2007, ENVIRON URBAN, V19, P39, DOI 10.1177/0956247807076725
   Field C.B., 2012, SPECIAL REPORT IPCC
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   GoF, 2017, Global Assessment Report on Disaster Risk Reduction 'Risk and Poverty in a Changing Climate: Invest Today for a Safer Tomorrow'
   Hewitt K., 1997, Regions of risk. A geographical introduction to disasters
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huq S, 2007, ENVIRON URBAN, V19, P3, DOI 10.1177/0956247807078058
   Kadushin C, 2004, SOC NETWORKS, V26, P75, DOI 10.1016/j.socnet.2004.01.009
   King D, 2001, NAT HAZARDS, V24, P147, DOI 10.1023/A:1011859507188
   King D., 2000, AUST J EMERG MANAG, V15, P52
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Manyena SB, 2006, DISASTERS, V30, P433
   Matsuoka Y, 2011, COMM ENV DISAST RISK, V6, P129, DOI 10.1108/S2040-7262(2011)0000006013
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Paton D., 2003, Disaster Prevention and Management, V12, P210, DOI DOI 10.1108/09653560310480686
   Pelling M., 2003, VULNERABILITY CITIES
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Prasad N, 2009, CLIMATE RESILIENT CITIES: A PRIMER ON REDUCING VULNERABILITIES TO DISASTERS, P1, DOI 10.1596/978-0-8213-7766-6
   Resilience Alliance, 2007, URB RES RES PROSP
   Revi A, 2008, ENVIRON URBAN, V20, P207, DOI 10.1177/0956247808089157
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Rosenthal U., 1996, Journal of Contingencies and Crisis Management, V4, P119, DOI DOI 10.1111/J.1468-5973.1996.TB00084.X
   Surjan A, 2011, COMM ENV DISAST RISK, V6, P17, DOI 10.1108/S2040-7262(2011)0000006008
   Tanner T., 2009, Urban Governance for Adaptation: Assessing Climate Change Resilience in Ten Asian Cities
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Weichselgartner J., 2001, DISASTER PREV MANAG, V10, P85, DOI [10.1108/09653560110388609, DOI 10.1108/09653560110388609]
   Wisner B., 2004, AT RISK, V2nd
NR 54
TC 95
Z9 105
U1 18
U2 139
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0361-3666
EI 1467-7717
J9 DISASTERS
JI Disasters
PD JUL
PY 2014
VL 38
IS 3
BP 540
EP 561
DI 10.1111/disa.12058
PG 22
WC Environmental Studies; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics
GA AJ3OM
UT WOS:000337576300006
PM 24905710
DA 2025-04-22
ER

PT J
AU Peiris, MTOV
AF Peiris, Mutu Tantrige Osada Vishvajith
TI Assessment of Urban Resilience to Floods: A Spatial Planning Framework
   for Cities
SO SUSTAINABILITY
LA English
DT Article
DE flood resilience; urban planning; land use change; vulnerability; coping
   capacity
ID LAND-USE CHANGE; VULNERABILITY ASSESSMENT; SYSTEMS; IMPACTS
AB Urbanization-led economic growth drives infrastructure investments and population accumulation in cities, hence exploiting natural resources at an extreme rate. In this context, coastal cities have become vulnerable to climate change-induced extreme weather events and human-made disasters in recent history, where effective measures to improve the resilience of cities are pivotal for developing sustainable living environments. This study proposes a framework for assessing urban resilience to natural disasters (floods) using bottom-up spatial interactions among natural, physical, and social systems within cities and regions. It is noted that seminal studies focus on either the mitigation or adaptation strategies within urban environments to assess disaster resilience, where limited multidisciplinary and operational models hinder evaluations at the city scale. Therefore, urban system interactions and quantifiable parameters proposed in this framework are essential for policymakers and disaster management agencies in the timely allocation of resources to optimize the recovery process. Moreover, spatial planning agencies can adopt resilience mapping to identify the potential risk zones and orient sustainable land use management. Urban resilience can be embodied in spatial strategies with the operational framework proposed here, and future urban growth scenarios can be tested in multiple disaster conditions.
C1 [Peiris, Mutu Tantrige Osada Vishvajith] Univ Hong Kong, Dept Urban Planning & Design, Hong Kong, Peoples R China.
   [Peiris, Mutu Tantrige Osada Vishvajith] Univ Moratuwa, Dept Town & Country Planning, Moratuwa 10400, Sri Lanka.
C3 University of Hong Kong; University Moratuwa
RP Peiris, MTOV (corresponding author), Univ Hong Kong, Dept Urban Planning & Design, Hong Kong, Peoples R China.; Peiris, MTOV (corresponding author), Univ Moratuwa, Dept Town & Country Planning, Moratuwa 10400, Sri Lanka.
EM vishvajith.peiris@connect.hku.hk
RI Peiris, Mutu Tantrige Osada Vishvajith/LDG-4496-2024
OI Peiris, Mutu Tantrige Osada Vishvajith/0000-0001-5802-9517
CR Abdrabo MA, 2015, URBAN CLIM, V14, P554, DOI 10.1016/j.uclim.2015.09.005
   Al Rifat SA, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2022.105994
   Ammara U, 2022, SYSTEMS-BASEL, V10, DOI 10.3390/systems10030077
   [Anonymous], 2016, Enhancing Urban Climate Change Resilience: Seven Entry Points for Action
   [Anonymous], 2022, WorldBank Urban Development
   Arafah Y., 2018, IOP Conference Series: Earth and Environmental Science
   Assembly U. G., 2015, TRANSF OUR WORLD 203
   Avila-Aceves E, 2023, STOCH ENV RES RISK A, V37, P4109, DOI 10.1007/s00477-023-02505-1
   Bahadur A., 2021, Resilience Reset: Creating Resilient Cities in the Global South
   Bai XM, 2016, CURR OPIN ENV SUST, V23, P69, DOI 10.1016/j.cosust.2016.11.010
   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
   Banai R, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102929
   Baqa MF, 2021, LAND-BASEL, V10, DOI 10.3390/land10070700
   Bene C., 2013, IDS Working Paper - Institute for Development Studies
   Berrebi C, 2021, NAT HAZARDS, V105, P1541, DOI 10.1007/s11069-020-04365-2
   Borden KA, 2007, J HOMEL SECUR EMERG, V4, DOI 10.2202/1547-7355.1279
   Bose S., 2023, Arab. J. Geosci, V16, P320, DOI [10.1007/s12517-023-11412-2, DOI 10.1007/S12517-023-11412-2]
   Bottero M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080242
   Cai H, 2016, WATER-SUI, V8, DOI 10.3390/w8020046
   Camacho MT Olmedo., 2018, Geomatic Approaches for Modeling Land Change Scenarios. An Introduction, P425
   Cao Y., 2021, An Analytical Review: A Decade of Urban Resilience
   Chan SW, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09075
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Cutter S L., 2008, Geography, V1, P2301
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   D'Orazio M, 2021, SAFETY SCI, V142, DOI 10.1016/j.ssci.2021.105399
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dirzyte A, 2017, ENTREP SUSTAIN ISS, V4, P489, DOI 10.9770/jesi.2017.4.4(7)
   Du MB, 2020, HABITAT INT, V102, DOI 10.1016/j.habitatint.2020.102206
   Ellis N, 2021, PROG PHYS GEOG, V45, P819, DOI 10.1177/0309133321997299
   Feldman DavidLewis., 2017, WATER SUSTAINABLE CI
   Feldmeyer D, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145734
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gangrade S, 2019, J HYDROL, V576, P342, DOI 10.1016/j.jhydrol.2019.06.027
   Gencer E.A., 2013, Mediterranean Studies, V7, DOI [10.1007/978-3-642-29470-9_2, DOI 10.1007/978-3-642-29470-9_2]
   Ghasemzadeh B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147852
   Gu D., 2019, Exposure and Vulnerability to Natural Disasters for Worlds Cities, P43
   Hall J.W., 2010, Flood Risk Science and Management, P1
   Harrison CG, 2016, SIMUL MODEL PRACT TH, V65, P11, DOI 10.1016/j.simpat.2016.02.008
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kadaverugu A, 2022, MODEL EARTH SYST ENV, V8, P3447, DOI 10.1007/s40808-021-01310-5
   Kadaverugu A, 2021, MODEL EARTH SYST ENV, V7, P589, DOI 10.1007/s40808-020-00937-0
   Kelly RA, 2013, ENVIRON MODELL SOFTW, V47, P159, DOI 10.1016/j.envsoft.2013.05.005
   Kesikoglu MH, 2019, WATER SCI TECHNOL, V80, P466, DOI 10.2166/wst.2019.290
   Khatooni K, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-27377-x
   Krzhizhanovskaya VV, 2011, PROCEDIA COMPUT SCI, V4, P106, DOI 10.1016/j.procs.2011.04.012
   Len N.L.S., 2018, Malaysian Journal of Geosciences, V2, P31
   Li LY, 2020, LANDSCAPE URBAN PLAN, V194, DOI 10.1016/j.landurbplan.2019.103703
   Liang LW, 2023, SCIENCE, V381, P1295, DOI 10.1126/science.adk1100
   Links JM, 2018, DISASTER MED PUBLIC, V12, P127, DOI 10.1017/dmp.2017.39
   Liu JW, 2024, J CLEAN PROD, V434, DOI 10.1016/j.jclepro.2023.139924
   Liu J, 2017, LAND USE POLICY, V65, P198, DOI 10.1016/j.landusepol.2017.04.012
   Liu ZF, 2014, LANDSCAPE ECOL, V29, P763, DOI 10.1007/s10980-014-0034-y
   Lwin KK, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101745
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Masten A.S., 1990, Development Psychopathology, V2, P425, DOI [10.1017/S0954579400005812, DOI 10.1017/S0954579400005812]
   Meadows D. H., 2008, THINKING SYSTEMS
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Membele GM, 2022, INT J DISAST RISK RE, V69, DOI 10.1016/j.ijdrr.2021.102766
   Müller F, 2016, ECOL INDIC, V65, P10, DOI 10.1016/j.ecolind.2015.10.066
   Mukherjee M, 2018, INT J DISAST RISK RE, V28, P854, DOI 10.1016/j.ijdrr.2018.01.027
   Nasiri H, 2016, SUST WAT RESOUR MAN, V2, P331, DOI 10.1007/s40899-016-0051-x
   Pal I, 2022, INT J DISASTER RESIL, V13, P404, DOI 10.1108/IJDRBE-08-2021-0108
   Peiris M.T.O.V., 2024, P UK ALL DIS RED UKA
   Peiris M. T. O. V., 2021, COVID-19 Pandemic Analytics Based Models and Their Implications: A Literature Review
   Qian JL, 2023, NAT HAZARD EARTH SYS, V23, P317, DOI 10.5194/nhess-23-317-2023
   Quarantelli E., 2003, Urban Vulnerability to Disasters in Developing Countries: Managing Risks. BUILDING Safer Cities: The Future of Disaster Risk, P211
   Re M, Flood Risks on the Rise Greater Loss Prevention is Needed
   Re Swiss, 2013, Mind the Risk: A Global Ranking of Cities Under Threat from Natural Disasters
   Rehman S, 2019, NAT HAZARDS, V96, P975, DOI 10.1007/s11069-018-03567-z
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   rockefellerfoundation, The Rockefeller Foundation 100 Resilient Cities
   Saaty TL., 2001, Decision Making for Leaders
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Shapiro S.A., 2017, UMKC L. Rev, V86, P963
   Sharifi A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155918
   Sharma SE, 2023, REV INT POLIT ECON, V30, P1413, DOI 10.1080/09692290.2022.2100449
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Sugianto S, 2022, LAND-BASEL, V11, DOI 10.3390/land11081271
   Tehrany MS, 2013, J HYDROL, V504, P69, DOI 10.1016/j.jhydrol.2013.09.034
   Tripathy P, 2019, CITIES, V90, P52, DOI 10.1016/j.cities.2019.01.021
   Ulloa-Espíndola R, 2023, LAND-BASEL, V12, DOI 10.3390/land12020335
   UNISDR, 2005, Hyogo Framework for Action 20052015: Building the Resilience of Nations and Communities to Disasters, P25
   United Nations, 2018, WORLD URBANIZATION P
   United Nations, 2015, TRANSF OUR WORLD 203, P1
   Walker B., 2004, Ecology and Society, V9, P5
   Wang LH, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e11763
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Winderl Thomas., 2014, DISASTER RESILIENCE
   WorldBank, 2018, CityStrength Diagnostic Methodological Guidebook
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P209, DOI 10.1016/j.landurbplan.2014.01.018
   Wu YZ, 2011, CITIES, V28, P147, DOI 10.1016/j.cities.2010.11.002
   Yang X., 2015, Monitoring and Modeling of Global Changes: A Geomatics Perspective
   Yu XP, 2023, WATER RES, V241, DOI 10.1016/j.watres.2023.120148
   Zahnow R, 2019, DISASTERS, V43, P261, DOI 10.1111/disa.12317
   Zhang MS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229735
   Zhang Y, 2023, ECOL INDIC, V150, DOI 10.1016/j.ecolind.2023.110230
   Zhang Z, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071872
   Zuniga-Teran AA, 2020, CURR OPIN ENV SUST, V44, P42, DOI 10.1016/j.cosust.2020.05.001
NR 101
TC 3
Z9 3
U1 29
U2 29
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2024
VL 16
IS 20
AR 9117
DI 10.3390/su16209117
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 K1P1Y
UT WOS:001341663000001
OA gold
DA 2025-04-22
ER

PT J
AU Shi, CC
   Lu, JJ
AF Shi, Chenchen
   Lu, Jinjing
TI Unlocking Economic Resilience: A New Methodological Approach and
   Empirical Examination under Digital Transformation
SO LAND
LA English
DT Article
DE economic resilience; urban systems; digital transition; regional
   heterogeneity; China
ID REGIONAL RESILIENCE; INNOVATION; FINTECH; EUROPE; CRISIS; INDEX
AB Economic resilience is crucial for urban sustainability as it ensures stability and growth in the face of external shocks, promotes social cohesion and inclusivity, fosters environmental sustainability, and enhances cities' adaptability to future challenges. This study expands the conventional perspective on economic resilience beyond the context of shocks, focusing on the inherent resilience of regional economic systems. A novel method for quantifying economic resilience is introduced, emphasizing system sensitivity and adaptability. Using Chinese prefecture-level city data and an econometric model, we empirically examine how Fintech, a major digital transition in current urban systems, affects economic resilience. The findings reveal that Fintech has a substantial positive effect on economic resilience, primarily through the upgrading of industrial structures and technological innovation. Furthermore, there is significant regional heterogeneity in the impact of Fintech on economic resilience, with more pronounced contributions in the east, central, and western regions of China, as opposed to the northeast. Additionally, the impact of Fintech on economic resilience is more substantial in large-scale cities. The promotion of economic resilience through digital transformation serves as a potent risk prevention measure. Understanding the role of economic resilience in urban systems holds valuable implications for countries worldwide.
C1 [Shi, Chenchen; Lu, Jinjing] Capital Univ Econ & Business, Sch Urban Econ & Publ Adm, Beijing 100070, Peoples R China.
   [Shi, Chenchen] Capital Univ Econ & Business, Beijing Key Lab Megareg Sustainable Dev Modeling, Beijing 100070, Peoples R China.
C3 Capital University of Economics & Business; Capital University of
   Economics & Business
RP Shi, CC (corresponding author), Capital Univ Econ & Business, Sch Urban Econ & Publ Adm, Beijing 100070, Peoples R China.; Shi, CC (corresponding author), Capital Univ Econ & Business, Beijing Key Lab Megareg Sustainable Dev Modeling, Beijing 100070, Peoples R China.
EM ccshi@cueb.edu.cn; lujinjing325@163.com
RI Shi, Chenchen/JMC-4424-2023
OI Lu, Jinjing/0009-0009-7821-7502; Shi, Chenchen/0000-0002-8608-668X
FU National Natural Science Foundation of China
FX No Statement Available
CR Alt R, 2018, ELECTRON MARK, V28, P235, DOI 10.1007/s12525-018-0310-9
   Anagnostopoulos I, 2018, J ECON BUS, V100, P7, DOI 10.1016/j.jeconbus.2018.07.003
   [Anonymous], 2022, Fintech and the Future of Finance Overview Paper
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bristow G., 2020, Handbook on Regional Economic Resilience, DOI [10.1128/AEM.01906-10, DOI 10.1128/JB.00542-10]
   Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Nguyen CP, 2021, Q REV ECON FINANC, V81, P237, DOI 10.1016/j.qref.2021.06.007
   Capello R, 2015, J ECON GEOGR, V15, P951, DOI 10.1093/jeg/lbu053
   Chen WD, 2020, J CLEAN PROD, V270, DOI 10.1016/j.jclepro.2020.122479
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Ding N, 2022, J CORP FINANC, V73, DOI 10.1016/j.jcorpfin.2022.102194
   Doran J, 2016, REG STUD, V50, P644, DOI 10.1080/00343404.2015.1088642
   Du YA, 2023, INT REV FINANC ANAL, V88, DOI 10.1016/j.irfa.2023.102709
   Erel I, 2022, J FINANC ECON, V146, P90, DOI 10.1016/j.jfineco.2022.05.004
   Evenhuis E, 2017, GEOGR COMPASS, V11, DOI 10.1111/gec3.12333
   Ezcurra R, 2019, PAP REG SCI, V98, P1267, DOI 10.1111/pirs.12417
   Feng SL, 2022, STRUCT CHANGE ECON D, V61, P70, DOI 10.1016/j.strueco.2022.02.008
   Feyen E. H. B., 2023, FINTECH FUTURE FINAN
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Gomber P, 2018, J MANAGE INFORM SYST, V35, P220, DOI 10.1080/07421222.2018.1440766
   Guo F., 2020, Q J Econ, V19, P1401, DOI DOI 10.13821/J.CNKI.CEQ.2020.03.12
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu X., 2020, Handbook on Regional Economic Resilience
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Hu XH, 2017, CAMB J REG ECON SOC, V10, P527, DOI 10.1093/cjres/rsx012
   Hu Y, 2021, ECON MODEL, V96, P68, DOI 10.1016/j.econmod.2020.12.021
   Kusumastuti RD, 2014, INT J DISAST RISK RE, V10, P327, DOI 10.1016/j.ijdrr.2014.10.007
   Liao JW, 2009, J SMALL BUS MANAGE, V47, P263, DOI 10.1111/j.1540-627X.2009.00271.x
   Liu Y, 2021, INT REV FINANC ANAL, V78, DOI 10.1016/j.irfa.2021.101889
   Mai X, 2021, HABITAT INT, V109, DOI 10.1016/j.habitatint.2021.102326
   Martin R., 2020, Handbook on Regional Economic Resilience, DOI 10.4337/9781785360862.00007
   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
   Modica M, 2015, NETW SPAT ECON, V15, P211, DOI 10.1007/s11067-014-9261-7
   Mudambi R, 2017, IND MARKET MANAG, V61, P20, DOI 10.1016/j.indmarman.2016.07.007
   Ndubuisi G, 2021, TELECOMMUN POLICY, V45, DOI 10.1016/j.telpol.2021.102153
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Petit E.P., 2022, Smart Cities Policies and Financing, P377, DOI 10.1016/b978-0-12-819130-9.00001-2
   Rauter R, 2019, J INNOV KNOWL, V4, P226, DOI 10.1016/j.jik.2018.03.004
   Ren XH, 2023, J ENVIRON MANAGE, V330, DOI 10.1016/j.jenvman.2022.117125
   Rocchetta S, 2022, J ECON GEOGR, V22, P27, DOI 10.1093/jeg/lbab001
   Rose A, 2013, INT J DISAST RISK RE, V5, P73, DOI 10.1016/j.ijdrr.2013.08.003
   Shen Y, 2020, APPL ECON LETT, V27, P30, DOI 10.1080/13504851.2019.1606401
   Shi CC, 2022, J CLEAN PROD, V372, DOI 10.1016/j.jclepro.2022.133737
   Shi YF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15129250
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sutton J, 2023, PROG HUM GEOG, V47, P500, DOI 10.1177/03091325231174183
   Sutton J, 2022, REG STUD REG SCI, V9, P497, DOI 10.1080/21681376.2022.2092418
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Tian Y, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e21087
   Tóth G, 2022, ECON GEOGR, V98, P355, DOI 10.1080/00130095.2022.2035715
   Vella L.B., 2012, Measuring Vulnerability in Developing Countries
   Wang S, 2020, LOCAL GOV STUD, V46, P716, DOI 10.1080/03003930.2019.1653285
   Wang ZX, 2021, REG STUD, V55, P1228, DOI 10.1080/00343404.2021.1872779
   Xiao S, 2012, J INT MONEY FINANC, V31, P880, DOI 10.1016/j.jimonfin.2012.01.006
   Xue QH, 2022, MANAG DECIS ECON, V43, P3898, DOI 10.1002/mde.3636
   Yamamoto D, 2011, GEOGR COMPASS, V5, P723, DOI 10.1111/j.1749-8198.2011.00448.x
   Yang LH, 2022, SOCIO-ECON PLAN SCI, V83, DOI 10.1016/j.seps.2022.101258
   Yang W, 2021, RES INT BUS FINANC, V55, DOI 10.1016/j.ribaf.2020.101338
   Yu ZH, 2023, FINANC RES LETT, V55, DOI 10.1016/j.frl.2023.103920
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zhou GY, 2022, ECOL ECON, V193, DOI 10.1016/j.ecolecon.2021.107308
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   Zhu XY, 2020, J INT MONEY FINANC, V100, DOI 10.1016/j.jimonfin.2019.102083
NR 66
TC 4
Z9 4
U1 40
U2 72
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAY
PY 2024
VL 13
IS 5
AR 621
DI 10.3390/land13050621
PG 20
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SB8Q8
UT WOS:001232095000001
OA gold
DA 2025-04-22
ER

PT J
AU Yao, YT
   Li, JK
   Jiang, YS
   Huang, GR
AF Yao, Yutong
   Li, Jiake
   Jiang, Yishuo
   Huang, Guoru
TI Evaluating the response and adaptation of urban stormwater systems to
   changed rainfall with the CMIP6 projections
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change; CMIP6; Design rainfall processes; MIKE FLOOD; Flood
   risk; Resilience
ID CLIMATE; PRECIPITATION; RESILIENCE; MANAGEMENT; IMPACT; GREEN
AB Climate change is altering urban rainfall characteristics, leading to extreme urban stormwater and, particularly, more frequent flooding. Due to the uncertainty of climate change, the responses of urban drainage systems to climate change are becoming more complicated. This complexity makes it difficult for decision makers to assess whether urban infrastructure is sufficiently resilient to cope with flood risks. In this study, the Xiao Zhai area, a high-density urban area of China, was used as an example. A quantitative method for assessing these risks and the resilience of urban drainage systems to future urban stormwater was developed. First, based on the Coupled Model Intercomparison Project Phase 6 (CMIP6), the variation and uncertainty of future rainfall in the study area were analysed. A high-fidelity hydro-hydraulic model was developed to analyse the influence of climate change on future urban stormwater. Finally, the relationship between urban flood risk and the resilience of urban drainage systems was evaluated. The results show that the temporal distribution of future rainfall from 2023 to 2100 is relatively uniform. However, the number of heavy rainfall events increases significantly during this period. The flood risk caused by future rainfall was one level higher than the historical flood risk. For example, the flood risk caused by future 5a rainfall is equal to the flood risk from historical 10a rainfall. The correlations between the spatial distributions of flood risk and resilience are 0.49-0.63. Urban drainage systems urgently need to be improved and refined in areas with flood risk and low resilience to become more resilient to climate change. Rational planning of grey-green rainwater facilities in flood risk and low resilience areas can improve the rainwater system's resilience to 0.67-0.95 for climate change.
C1 [Yao, Yutong; Li, Jiake; Jiang, Yishuo] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, 5 Jinhua South Rd, Xian 710048, Peoples R China.
   [Yao, Yutong; Li, Jiake; Jiang, Yishuo] Xian Univ Technol, Dept Municipal & Environm Engn, Xian 710048, Peoples R China.
   [Huang, Guoru] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China.
C3 Xi'an University of Technology; Xi'an University of Technology; South
   China University of Technology
RP Li, JK (corresponding author), Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, 5 Jinhua South Rd, Xian 710048, Peoples R China.
EM xaut_ljk@163.com
FU National Natural Science Foundation of China [52070157]; "Scientists +
   Engineers" Team Construction Based on QinChuangYuan Platform, Shaanxi
   Province [2022KXJ-115]
FX This work was supported by the National Natural Science Foundation of
   China (52070157) , and the "Scientists + Engineers" Team Construction
   Based on QinChuangYuan Platform, Shaanxi Province (No. 2022KXJ-115) .
CR Ajjur SB, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-16475-x
   Andimuthu R, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43859-3
   Bisht DS, 2016, NAT HAZARDS, V84, P749, DOI 10.1007/s11069-016-2455-1
   Bulti DT, 2020, MODEL EARTH SYST ENV, V6, P1293, DOI 10.1007/s40808-020-00803-z
   Chae ST, 2022, WATER RESOUR MANAG, V36, P951, DOI 10.1007/s11269-022-03062-y
   Chen W.j., 2019, Comprehensive Assessment of Resilience of Sustainable Urban Drainage system
   Chen XL, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143144
   Ding XC, 2022, J WATER CLIM CHANGE, V13, P3692, DOI 10.2166/wcc.2022.224
   Dong SY, 2021, J CLIMATE, V34, P871, DOI 10.1175/JCLI-D-19-1017.1
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fiori A, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027121
   Gao ZQ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12218980
   He J, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0369-y
   Hosseinzadehtalaei P, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126239
   Hou JJ, 2022, J GEOPHYS RES-ATMOS, V127, DOI 10.1029/2021JD035360
   Jamali B, 2020, WATER RES, V171, DOI 10.1016/j.watres.2019.115372
   Karamouz M, 2013, J IRRIG DRAIN ENG, V139, P98, DOI 10.1061/(ASCE)IR.1943-4774.0000500
   Koc K, 2021, J ENVIRON MANAGE, V294, DOI 10.1016/j.jenvman.2021.113023
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Lin WQ, 2020, ATMOS OCEAN SCI LETT, V13, P598, DOI 10.1080/16742834.2020.1820303
   Liu W, 2023, SCI TOTAL ENVIRON, V856, DOI 10.1016/j.scitotenv.2022.159127
   Liu YZ, 2016, SCI TOTAL ENVIRON, V553, P149, DOI 10.1016/j.scitotenv.2016.02.116
   Lyu HM, 2019, TUNN UNDERGR SP TECH, V84, P31, DOI 10.1016/j.tust.2018.10.019
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Ministry of Water Resources of the People's Republic of China, 2017, SL/T 754-2017
   Moon S, 2020, NPJ CLIM ATMOS SCI, V3, DOI 10.1038/s41612-020-00151-w
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   OLIVER JE, 1980, PROF GEOGR, V32, P300, DOI 10.1111/j.0033-0124.1980.00300.x
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Rastogi D, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002734
   Sohn W, 2019, J ENVIRON MANAGE, V236, P365, DOI 10.1016/j.jenvman.2018.11.041
   Su BD, 2021, ATMOS RES, V250, DOI 10.1016/j.atmosres.2020.105375
   Tatebe H, 2019, GEOSCI MODEL DEV, V12, P2727, DOI 10.5194/gmd-12-2727-2019
   Urich C, 2014, WATER RES, V66, P374, DOI 10.1016/j.watres.2014.08.020
   Wang M, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103358
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Xu ZF, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-01079-3
   Xue S., 2023, Yellow River, V45
   Yang K, 2010, AGR FOREST METEOROL, V150, P38, DOI 10.1016/j.agrformet.2009.08.004
   Yang WY, 2021, J CLEAN PROD, V320, DOI 10.1016/j.jclepro.2021.128946
   [张庆杰 Zhang Qingjie], 2021, [冰川冻土, Journal of Glaciology and Geocryology], V43, P1435
   Zhou QQ, 2019, SCI TOTAL ENVIRON, V658, P24, DOI 10.1016/j.scitotenv.2018.12.184
   Zhu XD, 2019, GLOBAL PLANET CHANGE, V172, P307, DOI 10.1016/j.gloplacha.2018.10.018
NR 45
TC 10
Z9 10
U1 21
U2 66
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 119135
DI 10.1016/j.jenvman.2023.119135
EA OCT 2023
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA U8JI6
UT WOS:001087205300001
PM 37797511
DA 2025-04-22
ER

PT J
AU Zhang, R
   Li, YL
   Li, CF
   Chen, T
AF Zhang, Rui
   Li, Yangli
   Li, Chengfei
   Chen, Tian
TI A complex network approach to quantifying flood resilience in
   high-density coastal urban areas: A case study of Macau
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Complex network; Flood resilience; Quantifying approach; High-density
   coastal urban areas
ID SEA-LEVEL RISE; COMMUNITY RESILIENCE; CLIMATE-CHANGE; POLICIES;
   INFRASTRUCTURE; VULNERABILITY; FRAMEWORK; PATTERNS; IMPACT; STEP
AB Urban flood resilience is a critical challenge for high-density coastal cities, where traditional infrastructure-based approaches often fail to capture the dynamic interactions between physical systems, functional recovery, and cascading disruptions. This study introduces a novel resilience assessment framework based on complex network theory, applied to the Macau Peninsula as a case study. By modeling urban infrastructure as an interconnected network of nodes (buildings) and edges (roads), the framework quantifies resilience through three core capacities: resistance, absorption, and recovery. The analysis integrates scenario-based flood simulations with network metrics to assess system vulnerabilities and identify key determinants of resilience. Results reveal significant weaknesses in Macau's high-density urban areas, particularly under compound flood events combining storm surges and extreme rainfall. Findings underscore the critical role of road network redundancy and shelter accessibility, as areas with lower redundancy experience prolonged recovery times. Model validation confirms the framework's effectiveness in quantifying resilience dynamics, though its current focus on physical infrastructure presents limitations in capturing socioeconomic and institutional factors. Nonetheless, this study establishes a scalable foundation for integrating such dimensions in future research. By bridging network topology with functional recovery dynamics, this work advances the theoretical understanding of urban flood resilience while offering actionable insights for policymakers to prioritize infrastructure investments and resilience planning in coastal cities.
C1 [Zhang, Rui] Jinling Inst Technol, Sch Architectural Engn, Nanjing 211199, Peoples R China.
   [Li, Yangli] Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621010, Peoples R China.
   [Li, Chengfei] Tianjin Huahui Engn Architectural Design Co Ltd, Tianjin 300384, Peoples R China.
   [Li, Yangli; Chen, Tian] Tianjin Univ, Sch Architecture, Tianjin 300072, Peoples R China.
C3 Jinling Institute of Technology; Southwest University of Science &
   Technology - China; Tianjin University
RP Li, YL (corresponding author), Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621010, Peoples R China.; Li, YL; Chen, T (corresponding author), Tianjin Univ, Sch Architecture, Tianjin 300072, Peoples R China.
EM zhangrui1017_@tju.edu.cn; liyangli@tju.edu.cn; xiaoyaoke1986@163.com;
   teec@tju.edu.cn
FU Research Program for High-level Talents of Jinling Institute of
   Technology [jit-b-202345]; International Cooperation and Exchanges NSFC
   [52061160366]; Natural Science Foundation of Sichuan Province
   [2024NSFSC0922]; National Natural Science Foundation of China [52470211]
FX Please add: This work was supported by the Research Program for
   High-level Talents of Jinling Institute of Technology [grant numbers
   jit-b-202345] ; International Cooperation and Exchanges NSFC [grant
   numbers 52061160366] ; Natural Science Foundation of Sichuan Province
   [grant numbers 2024NSFSC0922] ; National Natural Science Foundation of
   China [52470211] .
CR Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Alexander D.E., 2002, Principles of Emergency Planning and ManagementJ, DOI [10.1057/palgrave.rm.8240152, DOI 10.1057/PALGRAVE.RM.8240152]
   [Anonymous], Ten-year plan for disaster prevention and mitigation in the Macau special administrative region
   [Anonymous], 2013, Issues in Urban Earthquake riskM
   [Anonymous], 2009, Nat. Hazards Earth Syst. Sci., V9, P1679
   Basic information of Macau,, About Us
   Batty M., 2009, Cities as Complex Systems: Scaling, Interaction, Networks, Dynamics and Urban Morphologies, DOI [10.1007/978-0-387-30440-3_69, DOI 10.1007/978-0-387-30440-3_69]
   Batty M, 2012, CITIES, V29, pS9, DOI 10.1016/j.cities.2011.11.008
   Beniston M, 2004, GLOBAL PLANET CHANGE, V44, P1, DOI 10.1016/j.gloplacha.2004.06.001
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Biggs N., 1986, Graph Theory, 1736-1936
   Bolt B.A., 2013, Geological Hazards: Earthquakes-tsunamis-volcanoes-avalanches-landslides-floodsM
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   BUSONI E, 1995, CATENA, V25, P169, DOI 10.1016/0341-8162(95)00008-G
   Cavallaro M, 2014, COMPUT-AIDED CIV INF, V29, P608, DOI 10.1111/mice.12080
   Chang SE, 2015, NAT HAZARDS, V78, P1827, DOI 10.1007/s11069-015-1803-x
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Comfort L.K., 2010, International Journal of Disaster Resilience in the Built Environment, V8, P355
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   de Moel H, 2009, NAT HAZARD EARTH SYS, V9, P289, DOI 10.5194/nhess-9-289-2009
   Ding Y, 2024, J ENVIRON MANAGE, V352, DOI 10.1016/j.jenvman.2024.120074
   Djordjevic S, 2011, ENVIRON SCI POLICY, V14, P864, DOI 10.1016/j.envsci.2011.05.008
   Dobson M, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160708012
   Du Lei, 2011, 11 NAT AC C URB TRAF, P381
   EN.POP.DNST, Population density (people per sq. km of land area)
   Euler L., 2025, Commentarii academiae scientiarum Petropolitanae, P128
   Fahad MGR, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108388
   Gao JX, 2016, NATURE, V530, P307, DOI 10.1038/nature16948
   Gourbesville P., 2011, WORLD C INT ASS HYDR
   Hammond M, 2018, URBAN WATER J, V15, P427, DOI 10.1080/1573062X.2018.1508598
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Johnston A, 2014, OCEAN COAST MANAGE, V95, P176, DOI 10.1016/j.ocecoaman.2014.04.016
   Jongman B, 2012, GLOBAL ENVIRON CHANG, V22, P823, DOI 10.1016/j.gloenvcha.2012.07.004
   Kamh YZ, 2016, PROCD SOC BEHV, V216, P503, DOI 10.1016/j.sbspro.2015.12.007
   Karamouz M, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000724, 10.1061/(asce)wr.1943-5452.0000724]
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Kong L, 2022, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-022-20891-x
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Lai CG, 2024, J HYDROL, V643, DOI 10.1016/j.jhydrol.2024.132005
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Laurien F, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01593-x
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Li K., 2019, WATER-SUI, V11, P1825, DOI DOI 10.3390/w11091825
   Li XM, 2017, ECOL INDIC, V74, P403, DOI 10.1016/j.ecolind.2016.11.031
   Li Y, 2015, J IND ECOL, V19, P264, DOI 10.1111/jiec.12267
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Ma F, 2023, TRANSPORT RES D-TR E, V123, DOI 10.1016/j.trd.2023.103928
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Mcleod S., 2007, MASLOWS HIERARCHY NE, V1, P1
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Morelli AB, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2021.102770
   Nazari R, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000531
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Nichols CR, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00404
   Ning YF, 2017, IOP C SER EARTH ENV, V59, DOI 10.1088/1755-1315/59/1/012047
   Pathak SD, 2021, ENVIRON ENG MANAG J, V20, P1263
   Peijun Shi, 2003, Atlas of China's Natural Disaster System M
   Prashar N, 2023, PROG DISASTER SCI, V20, DOI 10.1016/j.pdisas.2023.100299
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Rezende OM, 2019, GREEN ENERGY TECHNOL, P533, DOI 10.1007/978-3-319-99867-1_92
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Santos L.B.L., 2019, Natural Hazards and Earth System Sciences Discussions, P1
   Santos LBL, 2023, FRONT PHYS-LAUSANNE, V11, DOI 10.3389/fphy.2023.1064122
   Satour N, 2021, NAT HAZARD EARTH SYS, V21, P1101, DOI 10.5194/nhess-21-1101-2021
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Sevtsuk A., 2012, Revue internationale de geomatique-n, V222, P287, DOI [10.3166/rig.22.287-305, DOI 10.3166/RIG.22.287-305]
   [史培军 Shi Peijun], 2017, [地理研究, Geographical Research], V36, P1401
   Sun Q, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11156694
   Thomas E.A.C., 1966, Book Review: Structural Models: An Introduction to the Theory of Directed Graphs
   Wei SM, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10120796
   Wing OEJ, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaac65
   Xu HQ, 2022, NAT HAZARD EARTH SYS, V22, P2347, DOI 10.5194/nhess-22-2347-2022
   Yan Wentao, 2021, Urban planning international, V36, P137
   Yang J, 2022, OCEAN ENG, V246, DOI 10.1016/j.oceaneng.2022.110605
   Yap W, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00125-w
   Zare N, 2018, INT J DISAST RISK RE, V28, P298, DOI 10.1016/j.ijdrr.2018.03.003
   Zhang ML, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127105
   Zhang R, 2024, INT J DISAST RISK RE, V107, DOI 10.1016/j.ijdrr.2024.104485
   Zhou JZ, 2021, SUSTAIN PROD CONSUMP, V28, P1645, DOI 10.1016/j.spc.2021.09.005
   Zou X, 2024, J KNOWL ECON, DOI 10.1007/s13132-023-01603-3
NR 84
TC 0
Z9 0
U1 16
U2 16
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 MAR
PY 2025
VL 119
AR 105335
DI 10.1016/j.ijdrr.2025.105335
EA FEB 2025
PG 23
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA Z2M4R
UT WOS:001437311600001
DA 2025-04-22
ER

PT J
AU Hodbod, J
   Goralnik, L
   Vicari, L
   White, S
AF Hodbod, Jennifer
   Goralnik, Lissy
   Vicari, Linnea
   White, Stephanie
TI From Theory to Transdisciplinary Practice: Community-Based Resilience
   Visioning in Urban Agriculture
SO SOCIETY & NATURAL RESOURCES
LA English
DT Article
DE Development; food systems; participatory approaches; place-based
   planning; resilience assessment; urban agriculture; visioning
ID SUSTAINABILITY
AB Using a case study of urban agriculture (UA) in the Rust Belt Midwest, we present lessons learned from a participatory resilience visioning activity rooted in social-ecological resilience principles. Our goal was to further operationalize resilience practice while providing a structure for academic-practitioner partnerships. To align development intentions with outcomes, our approach first looks backward with the community to co-create a timeline of shocks and their differentiated responses and then looks forward to imagine a resilient and desirable UA system with a World Cafe dialogue. We demonstrate how resulting data can be analyzed through the lens of seven resilience principles, grounding the activities in accessible theory to describe existing resilience in a system and identify levers toward more equitable regimes in the future. The described method is accessible to a wide range of stakeholders in and beyond urban agriculture to evaluate and improve resilience in their own communities.
C1 [Hodbod, Jennifer; Goralnik, Lissy; Vicari, Linnea; White, Stephanie] Michigan State Univ, Dept Community Sustainabil, Nat Resources Bldg, E Lansing, MI USA.
   [Hodbod, Jennifer] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Woodhouse Lane, Leeds LS2 9JT, England.
   [White, Stephanie] Michigan Dept Hlth & Human Serv, Div Environm Hlth, 333 South Grand Ave, Lansing, MI 48933 USA.
C3 Michigan State University; University of Leeds; MDHHS - Michigan
   Department of Health & Human Services
RP Hodbod, J (corresponding author), Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Woodhouse Lane, Leeds LS2 9JT, England.
EM j.e.hodbod@leeds.ac.uk
RI Hodbod, Jennifer/AAS-7320-2021
OI Lissy, Goralnik/0000-0001-9326-6470; Hodbod,
   Jennifer/0000-0001-8899-6583
FU Michigan State University Science and Society @ State (S3) program
FX This work is supported from the Michigan State University Science and
   Society @ State (S3) program. The funders were not involved in study
   design, data collection and analysis, writing, or the decision to submit
   the article for publication.
CR Andreoni F., 2018, WIT T ECOLOGY ENV, V217, P281, DOI [10.2495/SDP180261, DOI 10.2495/SDP180261]
   Anguelovski I, 2015, GEOFORUM, V58, P184, DOI 10.1016/j.geoforum.2014.10.014
   [Anonymous], 2010, Assessing resilience in social-ecological systems: workbook for practitioners
   [Anonymous], 2015, Principles for Building Resilience: Sustaining Ecosystem Services in Social-Ecological Systems, DOI 10.1017/CBO9781316014240
   Baggio JA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07484-200202
   Baum Fran, 2006, J Epidemiol Community Health, V60, P854, DOI 10.1136/jech.2004.028662
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Carlet F, 2017, AGROECOL SUST FOOD, V41, P887, DOI 10.1080/21683565.2017.1311288
   Center for Regional Food Systems, 2010, MICH GOOD FOOD CHART
   Chamberlain K., 2020, SAGE RES METHODS FDN
   Colding J, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102761
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   de Zeeuw H, 2011, J AGR SCI-CAMBRIDGE, V149, P153, DOI 10.1017/S0021859610001279
   Ferreira AJD, 2018, CURR OPIN ENV SCI HL, V5, P93, DOI 10.1016/j.coesh.2018.06.004
   Elman C, 2014, PS-POLIT SCI POLIT, V47, P43, DOI 10.1017/S1049096513001777
   Fabinyi M, 2014, ECOL SOC, V19, DOI 10.5751/ES-07029-190428
   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
   Goralnik L, 2023, LAND-BASEL, V12, DOI 10.3390/land12010068
   GRAID, 2020, WAYF RES GUID NAV SU
   Greater Lansing Food Bank, 2021, GARD PROJ
   Hadi MA, 2016, INT J CLIN PHARM-NET, V38, P641, DOI 10.1007/s11096-015-0237-6
   Hodbod, 2020, RESILIENCE URBAN AGR
   Hoover BM, 2013, J AGRIC FOOD SYST CO, V3, P109, DOI 10.5304/jafscd.2013.034.014
   Ingham County Land Bank, 2021, GARD PROGR
   Kawulich B.B., 2005, PARTICIPANT OBSERVAT
   Kirby CK., 2020, Urban Agriculture Regional Food Systems, V5, DOI DOI 10.1002/UAR2.20003
   Koliou M, 2020, SUSTAIN RESIL INFRAS, V5, P131, DOI 10.1080/23789689.2017.1418547
   Lave J., 1991, Situated learning
   Lebel L, 2006, ECOL SOC, V11
   Lemos MC, 2016, GLOBAL ENVIRON CHANG, V39, P170, DOI 10.1016/j.gloenvcha.2016.05.001
   Low S. A., 2015, Trends in U.S. local and regional food systems: report to congress
   Malmborg K, 2022, ECOSYST PEOPLE, V18, P241, DOI 10.1080/26395916.2022.2061596
   Massi Brad., 2014, The Solutions Journal, V5, P44
   Maurer M, 2021, AGR HUM VALUES, V38, P467, DOI 10.1007/s10460-020-10174-x
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Michigan State Police, 2019, MSP EMHSD PUB, V106
   Miles M.B., 1994, QUALITATIVE DATA ANA
   O'Connell D., 2015, RESILIENCE ADAPTATIO, DOI DOI 10.13140/RG.2.1.4301.4564
   Ohmer ML, 2009, J COMMUNITY PRACT, V17, P377, DOI 10.1080/10705420903299961
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Penny G., 2018, Journal of Water Security, V4-5, P37, DOI [10.1016/j.wasec.2018.11.003, DOI 10.1016/J.WASEC.2018.11.003]
   Piso Z, 2019, ECOL SOC, V24, DOI 10.5751/ES-10650-240218
   Porter CM, 2018, J AGRIC FOOD SYST CO, V8, P187, DOI [10.5304/jafscd.2018.08a.002, 10.5304/jafscd.2018.08A.002]
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   Ross H, 2014, SOC NATUR RESOUR, V27, P787, DOI 10.1080/08941920.2014.905668
   Rothwell A, 2016, J CLEAN PROD, V114, P420, DOI 10.1016/j.jclepro.2015.04.096
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Sbicca J, 2019, RES POLIT SOCIOL, V26, P149, DOI 10.1108/S0895-993520190000026011
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Simonsen S. H., 2014, APPL RESILIENCE THIN, P1
   Sonti NF, 2018, SOC NATUR RESOUR, V31, P1189, DOI 10.1080/08941920.2018.1484971
   Stock P, 2011, SUSTAINABILITY-BASEL, V3, P1090, DOI 10.3390/su3081090
   Tendall DM, 2015, GLOB FOOD SECUR-AGR, V6, P17, DOI 10.1016/j.gfs.2015.08.001
   Tetui M, 2017, HEALTH RES POLICY SY, V15, DOI 10.1186/s12961-017-0273-x
   Tschakert P, 2010, ECOL SOC, V15
   Vroegindewey R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040916
   Walker B., 2004, Ecology and Society, V9, P5
   Wallerstein Nina, 2020, Health Educ Behav, V47, P380, DOI 10.1177/1090198119897075
   Walters SA, 2018, AGRICULTURE-BASEL, V8, DOI 10.3390/agriculture8110168
   White GW, 2004, ARCH PHYS MED REHAB, V85, pS3, DOI 10.1016/j.apmr.2003.08.109
   World Cafe Community Foundation, 2015, CAF GO QUICK REF GUI
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P209, DOI 10.1016/j.landurbplan.2014.01.018
   Yang QY, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182010857
   Yin R.K., 2009, Case Study Research: Design and Methods
NR 66
TC 1
Z9 2
U1 4
U2 21
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 0894-1920
EI 1521-0723
J9 SOC NATUR RESOUR
JI Soc. Nat. Resour.
PD JAN 2
PY 2024
VL 37
IS 1
BP 143
EP 167
DI 10.1080/08941920.2023.2228264
EA JUL 2023
PG 25
WC Development Studies; Environmental Studies; Regional & Urban Planning;
   Sociology
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology; Public
   Administration; Sociology
GA EX5A0
UT WOS:001025429400001
OA hybrid
DA 2025-04-22
ER

PT J
AU Bixler, RP
   Lieberknecht, K
   Atshan, S
   Zutz, CP
   Richter, SM
   Belaire, JA
AF Bixler, R. Patrick
   Lieberknecht, Katherine
   Atshan, Samer
   Zutz, Clare P.
   Richter, Steven M.
   Belaire, J. Amy
TI Reframing urban governance for resilience implementation: The role of
   network closure and other insights from a network approach
SO CITIES
LA English
DT Article
DE Urban resilience; Urban governance; Nature-based solutions; Blue-green
   infrastructure; Social network analysis; Exponential random graph
   modeling; Texas
ID COMMUNITY RESILIENCE; STEWARDSHIP NETWORKS; SOCIAL NETWORKS; RISK;
   TRANSFORMATION; COOPERATION; ENVIRONMENT; ADAPTATION; FRAMEWORK; SYSTEMS
AB The concept of urban resilience, particularly through a systems framework, has advanced tremendously over the past decade. Relatedly, collaborative and network governance is increasingly considered essential for the sustainability of urban social-ecological-technical systems. However, empirical evidence explicitly linking metropolitan networks to resilience planning and implementation is sparse. We address this gap by researching a network of organizations pursuing resilience strategies within and across two major metropolitan areas in Texas - Austin and San Antonio. Utilizing a mixed-methods approach that includes qualitative and social network analysis (descriptive and exponential random graph modeling), we examine the factors that drive network formation around blue-green infrastructure in the study area. The planning and implementation of general resilience strategies across metropolitan jurisdictional boundaries is dependent upon the social infrastructure available for governance (i.e., the relationships among organizations engaged in resilience building activities). Our findings demonstrate the tendency for network closure as a key governance feature for resilience implementation. Providing urban policy-makers and planners with information about why networks form can facilitate implementation of blue-green infrastructure in this rapidly growing, climate change impacted region and beyond. Applying a network paradigm provides insights to build general resilience for adaptation and transformation in metropolitan systems.
C1 [Bixler, R. Patrick; Atshan, Samer] Univ Texas Austin, LBJ Sch Publ Affairs, Austin, TX 78712 USA.
   [Lieberknecht, Katherine; Zutz, Clare P.; Richter, Steven M.] Univ Texas Austin, Sch Architecture, Austin, TX 78712 USA.
   [Belaire, J. Amy] Nature Conservancy, Austin, TX USA.
C3 University of Texas System; University of Texas Austin; University of
   Texas System; University of Texas Austin; Nature Conservancy
RP Bixler, RP (corresponding author), Univ Texas Austin, LBJ Sch Publ Affairs, Austin, TX 78712 USA.
EM rpbixler@utexas.edu
RI Atshan, Samer/MGW-7041-2025
OI Bixler, R. Patrick/0000-0003-0515-0967; Lieberknecht,
   Katherine/0000-0002-4168-7457
FU Cynthia and George Mitchell Foundation (CGMF)
FX We'd like to thank the Cynthia and George Mitchell Foundation (CGMF) for
   financially supporting this research. We'd like to thank Ashley Lovell
   for her contributions collecting and analyzing qualitative data for this
   study.
CR Aldrich DanielP., 2012, Building resilience: Social capital in post-disaster recovery, DOI 10.7208/chicago/9780226012896.001.0001
   [Anonymous], 2017, Water for Texas: 2017 State Water Plan, P32
   Atouba YC, 2015, NONPROF VOLUNT SEC Q, V44, P587, DOI 10.1177/0899764014524991
   Bai XM, 2017, ANNU REV ENV RESOUR, V42, P215, DOI 10.1146/annurev-environ-102016-061128
   Bai XM, 2016, CURR OPIN ENV SUST, V23, P69, DOI 10.1016/j.cosust.2016.11.010
   Barabási AL, 1999, SCIENCE, V286, P509, DOI 10.1126/science.286.5439.509
   Barbosa A, 2019, SCI TOTAL ENVIRON, V652, P1463, DOI 10.1016/j.scitotenv.2018.10.416
   Barnes ML, 2016, P NATL ACAD SCI USA, V113, P6466, DOI 10.1073/pnas.1523245113
   BARNES ML, 2019, NATURE SUSTAINABILIT, V10, DOI DOI 10.1038/S41893-019-0308-0JUNE
   Belaire JA, 2011, CONSERV LETT, V4, P464, DOI 10.1111/j.1755-263X.2011.00200.x
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Berardo R, 2016, PUBLIC ADMIN REV, V76, P738, DOI 10.1111/puar.12532
   Berardo R, 2010, AM J POLIT SCI, V54, P632, DOI 10.1111/j.1540-5907.2010.00451.x
   Bergsten A, 2014, ECOL SOC, V19, DOI 10.5751/ES-06931-190406
   Bixler RP, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133611
   Bixler RP, 2016, FRONT ECOL ENVIRON, V14, P145, DOI 10.1002/fee.1250
   Bodin O., 2011, Social Networks and Natural Resource Management. Uncovering the Social Fabric of Environmental Governance
   Bodin Ö, 2017, SCIENCE, V357, P659, DOI 10.1126/science.aan1114
   Bourgon J., 2009, Public Policy and Administration, V24, P309, DOI DOI 10.1177/0952076709103813
   Bryman A., 2021, Social research methods
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Charmaz K., 2006, Constructing grounded theory, DOI DOI 10.5565/REV/PAPERS/V86N0.825
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Creswell J., 2017, QUAL INQ
   Crona B, 2010, ECOL SOC, V15
   Cross JE, 2009, AM J EVAL, V30, P310, DOI 10.1177/1098214009340044
   Daher B, 2019, SCI TOTAL ENVIRON, V651, P2913, DOI 10.1016/j.scitotenv.2018.09.395
   Davidson K, 2019, CITIES, V92, P1, DOI 10.1016/j.cities.2019.03.012
   Doerfel M. L., 2015, ORG COMMUNICATION HL, DOI [10.4324/9781315723020-22, DOI 10.4324/9781315723020-22]
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Emerson K, 2012, J PUBL ADM RES THEOR, V22, P1, DOI 10.1093/jopart/mur011
   Enqvist JP, 2020, AMBIO, V49, P49, DOI 10.1007/s13280-019-01163-4
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Ghofrani Z., 2017, International Journal of Environment and Sustainability, V6, DOI DOI 10.24102/IJES.V6I1.728
   Gieryn TF, 2000, ANNU REV SOCIOL, V26, P463, DOI 10.1146/annurev.soc.26.1.463
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Gulati R, 1999, AM J SOCIOL, V104, P1439, DOI 10.1086/210179
   Handcock Mark S, 2008, J Stat Softw, V24, P1548
   Henry AD, 2011, J PUBL ADM RES THEOR, V21, P419, DOI 10.1093/jopart/muq042
   Houston JB, 2018, J APPL COMMUN RES, V46, P19, DOI 10.1080/00909882.2018.1426704
   Hunter DR, 2007, SOC NETWORKS, V29, P216, DOI 10.1016/j.socnet.2006.08.005
   Jasny L, 2019, ECOL SOC, V24, DOI 10.5751/ES-11140-240408
   Jedd T, 2015, ENVIRON POLICY GOV, V25, P172, DOI 10.1002/eet.1670
   Johnson ML, 2019, ECOL SOC, V24, DOI 10.5751/ES-10924-240401
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Karlberg M, 1997, SOC NETWORKS, V19, P325, DOI 10.1016/S0378-8733(97)00001-4
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Kleinbaum AM, 2013, ORGAN SCI, V24, P1316, DOI 10.1287/orsc.1120.0804
   Koskinen J., 2013, EXPONENTIAL RANDOM G, P49, DOI DOI 10.1017/CBO9780511894701.008
   Lafortezza Raffaele, 2018, Environ Res, V165, P431, DOI 10.1016/j.envres.2017.11.038
   Lemos MC, 2006, ANNU REV ENV RESOUR, V31, P297, DOI 10.1146/annurev.energy.31.042605.135621
   Lieberknecht K., 2018, AUSTIN AM STATESMAN
   Lusher D., 2013, Exponential random graph models for social networks: Theory, methods, and applications
   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
   McPherson M, 2001, ANNU REV SOCIOL, V27, P415, DOI 10.1146/annurev.soc.27.1.415
   Meerow S, 2020, CITIES, V100, DOI 10.1016/j.cities.2020.102621
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Morris Martina, 2008, J Stat Softw, V24, P1548
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Normandin JM, 2019, RESILIENT CIT, P9, DOI 10.1007/978-3-319-76944-8_2
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   Nowell B, 2018, AM REV PUBLIC ADM, V48, P699, DOI 10.1177/0275074017724225
   Ostrom E, 2000, J ECON PERSPECT, V14, P137, DOI 10.1257/jep.14.3.137
   Ostrom E., 1990, Governing the commons. Political economy of institutions and decisions
   OSTROM V, 1961, AM POLIT SCI REV, V55, P831, DOI 10.2307/1952530
   Page GW, 2007, J AM PLANN ASSOC, V73, P141, DOI 10.1080/01944360708976147
   Patel Sonny S, 2017, PLoS Curr, V9, DOI 10.1371/currents.dis.db775aff25efc5ac4f0660ad9c9f7db2
   Peters B.G., 2011, I THEORY POLITICAL S, V3rd
   Pfefferbaum Rose L, 2016, Disaster Health, V3, P45, DOI 10.1080/21665044.2016.1189068
   Pfefferbaum RL, 2013, J PUBLIC HEALTH MAN, V19, P250, DOI 10.1097/PHH.0b013e318268aed8
   Pickett Steward T. A., 2016, Ecosystem Health and Sustainability, V2, pe01229, DOI 10.1002/ehs2.1229
   Pierre J, 1999, URBAN AFF REV, V34, P372, DOI 10.1177/10780879922183988
   Pierre Jon., 2011, POLITICS URBAN GOVER
   Provan KG, 2008, J PUBL ADM RES THEOR, V18, P229, DOI 10.1093/jopart/mum015
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Richter S. M., 2020, LANDSCAPE URBAN PLAN
   Rivera MT, 2010, ANNU REV SOCIOL, V36, P91, DOI 10.1146/annurev.soc.34.040507.134743
   Romolini M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090956
   Romolini M, 2016, ENVIRON MANAGE, V58, P254, DOI 10.1007/s00267-016-0704-4
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878
   Scott TA, 2019, PERSPECT PUBLIC MAN, V2, P89, DOI 10.1093/ppmgov/gvy011
   Scott TA, 2019, POLICY STUD J, V47, P52, DOI 10.1111/psj.12289
   Snijders TAB, 2006, SOCIOL METHODOL, V36, P99, DOI 10.1111/j.1467-9531.2006.00176.x
   Strauss E, 1998, CLIN ORTHOP RELAT R, P2
   Therrien MC, 2019, ENVIRON SCI POLICY, V93, P1, DOI 10.1016/j.envsci.2018.11.016
   Therrien MC, 2015, RESILIENCE-ABINGDON, V3, P18, DOI 10.1080/21693293.2014.988915
   Vargo J, 2016, ENVIRON SCI POLICY, V66, P366, DOI 10.1016/j.envsci.2016.08.012
   Walker BM, 2012, POLITICAL HISTORY OF THE TWO IRELANDS: FROM PARTITION TO PEACE, P1, DOI 10.1057/9780230363403
   Wasserman S., 1994, SOCIAL NETWORK ANAL
NR 93
TC 38
Z9 44
U1 30
U2 173
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 AUG
PY 2020
VL 103
AR 102726
DI 10.1016/j.cities.2020.102726
PG 12
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA LZ3TZ
UT WOS:000541152300019
DA 2025-04-22
ER

PT J
AU Miao, C
   Na, M
   Chen, H
   Ding, M
AF Miao, C.
   Na, M.
   Chen, H.
   Ding, M.
TI Urban resilience evaluation based on entropy-TOPSIS model: a case study
   of county-level cities in Ningxia, Northwest China
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
LA English
DT Article
DE Urban resilience; Resilience evaluation; County-level cities; Northwest
   China
AB In the process of rapid urbanization, any unexpected event will harm the stability of the city. Strengthening urban resilience construction will effectively respond to unexpected events. Taking 22 counties (cities, districts) in Ningxia, Northwest China as the research object, 20 indicators are selected from four aspects of economic, social, infrastructure, and ecological resilience to construct an urban resilience evaluation index system. The entropy-TOPSIS model (consisting of the Entropy method and the Technique for Order Preference by Similarity to an Ideal Solution method) is used to comprehensively evaluate the resilience and comprehensive resilience of various dimensions of county-level cities. The results show that: (1) There is a significant spatial differentiation in the economic, social, infrastructure, and ecological resilience of county-level cities in Ningxia, resulting in a higher comprehensive resilience of cities in the northern region compared to those in the southern region, and comparatively high and high resilience is distributed in the central districts and counties of the northern and southern regions. (2) Low, comparatively low, medium, comparatively high, and high resilience cities account for 13.64%, 31.82%, 31.82%, 18.18% and 4.54% of the total number of county-level cities in Ningxia, respectively. Among them, Xingqing District has the highest comprehensive resilience and Jingyuan County has the lowest comprehensive resilience. The research findings can provide a basis for the dynamic assessment of resilience in county-level cities in Ningxia, the analysis of the impact of geological environment changes on urban resilience, and thus a theoretical and practical basis for the sustainable development of county-level cities in Ningxia and the enhancement of their ability to respond to emergencies.
C1 [Miao, C.; Na, M.; Chen, H.] Ningxia Normal Univ, Sch Resources Environm & Life Sci, Guyuan, Ningxia, Peoples R China.
   [Ding, M.] Southwest Jiaotong Univ, Fac Geosci & Engn, Chengdu, Sichuan, Peoples R China.
C3 Ningxia Normal University; Southwest Jiaotong University
RP Miao, C (corresponding author), Ningxia Normal Univ, Sch Resources Environm & Life Sci, Guyuan, Ningxia, Peoples R China.
EM miaocheng19890922@163.com
FU Natural Science Foundation of Ningxia [2023AAC03344]; Scientific
   Research Project of Ningxia Education Department [NYG2024179,
   NYG2022083]; Ningxia Excellent Talent Support Program (The sixth batch
   of Ningxia Youth Science and Technology Talent Recruitment Project in
   2021); National Natural Science Foundation of China [42371203]; National
   Natural Science Foundation of China Joint Fund Project [U21A2032]
FX This work was supported by the Natural Science Foundation of Ningxia
   (Grant No. 2023AAC03344); the Scientific Research Project of Ningxia
   Education Department (Grant Nos. NYG2024179; NYG2022083); the Ningxia
   Excellent Talent Support Program (The sixth batch of Ningxia Youth
   Science and Technology Talent Recruitment Project in 2021); the National
   Natural Science Foundation of China (Grant No. 42371203), the National
   Natural Science Foundation of China Joint Fund Project (Grant No.
   U21A2032).
CR [Anonymous], 2009, Asian J. Environ. Disaster Manag. (AJEDM), V1, P101, DOI [10.3850/S179392402009000088, DOI 10.3850/S179392402009000088]
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chang SE, 2004, P USC CTR RISK EC AN
   [程朋根 Cheng Pengen], 2023, [灾害学, Journal of Catastrophology], V38, P139
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cui SH., 2022, J CENTRAL CHINA NORM, V56, P716
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dong XJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041321
   Duy PN, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000419
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Hill Edward., 2008, EXPLORING REGIONAL E
   Hofmann SZ, 2021, PROG DISASTER SCI, V11, DOI 10.1016/j.pdisas.2021.100189
   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]
   Hu ZC, 2021, MACROECON MANAG, V11, P72
   Keck M, 2013, ERDKUNDE, V67, P5, DOI 10.3112/erdkunde.2013.01.02
   Lade SJ, 2020, ECOL SOC, V25, DOI 10.5751/ES-11760-250319
   LAZARUS RS, 1993, ANNU REV PSYCHOL, V44, P1, DOI 10.1146/annurev.ps.44.020193.000245
   Li G., 2021, CHINESE J AGR RESOUR, V42, P115, DOI DOI 10.7621/CJARRP.1005-9121.20211213
   Li T., 2017, Urban Planning International, V32, P15, DOI [10.22217/upi.2015.284, DOI 10.22217/UPI.2015.284]
   Li Y., 2016, URBAN DEV STUDIES, V23, P113, DOI DOI 10.3969/J.ISSN.1006-3862.2016.06.016
   [刘彦平 Liu Yanping], 2021, [城市发展研究, Urban Studies], V28, P93
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meng HX, 2021, MOD URBAN RES, V4, P80
   Ministry of Housing and Urban Rural Development of the Peoples Republic of China, 2020, STAT YB COUNTY CONST
   Motesharrei S, 2016, NATL SCI REV, V3, P470, DOI 10.1093/nsr/nww081
   Naef P, 2022, ANN AM ASSOC GEOGR, V112, P2012, DOI 10.1080/24694452.2022.2038069
   Office of the Leading Group of the Seventh National Population Census of the State Council, 2022, Xiangtan City Population Census Yearbook
   Principi N, 2020, BOL GEOGR-ARGENTINA, V42, P109
   [邱爱军 Qiu Aijun], 2019, [城市发展研究, Urban Studies], V26, P38
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Sharifi A, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104910
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Statistics Bureau of Ningxia Hui Autonomous Region Ningxia Survey Brigade of the National Bureau of Statistics, 2021, NINGXIA STAT YB 2021
   [孙久文 Sun Jiuwen], 2017, [经济地理, Economic Geography], V37, P1
   [孙阳 Sun Yang], 2017, [中国人口·资源与环境, China Population Resources and Environment], V27, P151
   [谭俊涛 Tan Juntao], 2020, [地理科学, Scientia Geographica Sinica], V40, P173
   Tian GH., 2023, HUM GEOGR, V38, P1, DOI DOI 10.13959/J.ISSN.1003-2398.2023.05.001
   Wang GH, 2021, GUIZHOU SOCIAL SCI, V1, P126
   [夏楚瑜 Xia Chuyu], 2022, [生态学报, Acta Ecologica Sinica], V42, P116
   Xu YY, 2018, ACTA ECOL SIN, V38, P5297, DOI [10.5846/stxb201709081620, DOI 10.5846/stxb201709081620]
   [游细斌 You Xibin], 2017, [山地学报, Mountain Research], V35, P899
   Zhao FD., 2018, J E CHINA U SCI TECH, V33, P17
   [赵瑞东 Zhao Ruidong], 2020, [地理科学进展, Progress in Geography], V39, P1717
   Zhou LM, 2016, J BEIJING ADM I, V2, P13, DOI DOI 10.16365/J.CNKI.11-4054/D.2016.02.003
   Zhou R, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1133595
NR 50
TC 2
Z9 2
U1 26
U2 39
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 MAR
PY 2025
VL 22
IS 6
BP 4187
EP 4202
DI 10.1007/s13762-024-05880-6
EA JUL 2024
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA X8P8I
UT WOS:001268337300002
DA 2025-04-22
ER

PT J
AU Romm, M
   Boyd, MA
   Bredder, A
   Doody, S
   Leslie, TF
AF Romm, Madeline
   Boyd, Marcus A.
   Bredder, Allison
   Doody, Sean
   Leslie, Timothy F.
TI Enhancing urban resilience: Global expert insights on climate security,
   mitigation, and adaptive strategies
SO JOURNAL OF URBAN AFFAIRS
LA English
DT Article; Early Access
DE Urban resilience; sustainability; climate adaptation; climate mitigation
ID ADAPTATION; FUTURE; RISK
AB This study investigates the intersection of urban security and climate resilience, emphasizing the urgent need to prioritize climate adaptation and mitigation in urban planning. Through a comprehensive global survey of 256 experts across various fields, we uncover a consensus on climate change as a major threat to urban areas, affecting water, ecosystem, health, economic, and food security. Despite this recognition, our findings reveal a significant lack of preparedness and confidence in governmental responses. We highlight the interconnectedness of climate and economic factors, underscoring the challenges in decoupling economic growth from fossil fuel dependency. Furthermore, we explore the potential of smart technologies, such as early warning systems, data analytics, and green infrastructure, to enhance urban resilience. Our study advocates for a proactive and comprehensive approach to climate resilience, emphasizing the need for urban planners to incorporate innovative technological solutions that address both climate adaptation and mitigation. By focusing on these distinct yet interconnected strategies, we aim to foster secure, sustainable, and livable urban environments that effectively respond to current and future climate challenges.
C1 [Romm, Madeline; Boyd, Marcus A.; Bredder, Allison; Doody, Sean] Univ Maryland, College Pk, MD USA.
   [Leslie, Timothy F.] George Mason Univ, Fairfax, VA USA.
C3 University System of Maryland; University of Maryland College Park;
   George Mason University
RP Leslie, TF (corresponding author), George Mason Univ, Dept Geog & Geoinformat Sci, 4400 Univ Dr MS 6C3, Fairfax, VA 22030 USA.
EM tleslie@gmu.edu
RI Doody, Sean/JTU-9821-2023
OI Leslie, Timothy/0000-0002-4928-3705; Bredder,
   Allison/0000-0002-3741-2477; Boyd, Marcus/0000-0002-6872-2216
FU Washington Headquarters Services [HQ003421F0481]
FX This research was supported by the Washington Headquarters Services
   [HQ003421F0481].
CR Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   [Anonymous], 2024, Human Development Index
   [Anonymous], 2008, Migration and Climate Change
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Black R, 2011, ENVIRON PLANN A, V43, P431, DOI 10.1068/a43154
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Calthorpe Peter., 2011, Urbanism in the Age of Climate Change
   Chu EK, 2021, CURR OPIN ENV SUST, V51, P85, DOI 10.1016/j.cosust.2021.02.009
   Chung JH, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101252
   Cities Today, 2023, Climate-resilient cities with smart IoT technologies-Cities Today
   Clement V., 2021, Groundswell part 2: Acting on internal climate migration
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Dodman D., 2022, Climate Change 2022: Impacts, adaptation, and vulnerability, V1, P907
   Elliott H, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10120219
   Elmqvist T, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00018-w
   Future Investment Initiative, 2023, FII PRIORITY compass Navigator
   González JE, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100858
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Helbling M, 2023, J POPUL ECON, V36, P1187, DOI 10.1007/s00148-022-00924-y
   Ismagiloiva E., 2019, IFIP Adv. Inf. Commun. Technol, P311, DOI [10.1007/978-3-030-20671-0_21, DOI 10.1007/978-3-030-20671-021]
   Jiang YF, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122224
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Kong L, 2022, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-022-20891-x
   Laufs J, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2020.102023
   Li HM, 2021, ADV CLIM CHANG RES, V12, P384, DOI 10.1016/j.accre.2021.05.006
   Lobo J, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00113-0
   Luo T., 2015, World's 15 Countries with the Most People Exposed to River Floods
   Lustgarten A., 2023, The New York Times
   Macintosh A, 2013, MITIG ADAPT STRAT GL, V18, P1035, DOI 10.1007/s11027-012-9406-2
   Maiella R, 2020, FRONT PSYCHOL, V11, DOI 10.3389/fpsyg.2020.568899
   Masson V, 2020, ANNU REV ENV RESOUR, V45, P411, DOI 10.1146/annurev-environ-012320-083623
   Morchid A., 2024, Journal of the Saudi Society of Agricultural Sciences, DOI DOI 10.1016/J.JSSAS.2024.02.001
   Mycoo MA, 2014, URBAN CLIM, V9, P134, DOI 10.1016/j.uclim.2014.07.009
   Obringer R, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103278
   Patnaik A., 2020, Racial disparities and climate change
   Pittock J, 2011, ECOL SOC, V16
   Pizzorni M, 2024, CITY ENVIRON INTERAC, V24, DOI 10.1016/j.cacint.2024.100169
   Ramyar R, 2021, CITIES, V117, DOI 10.1016/j.cities.2021.103316
   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
   Roderick M., 2021, C40 and Mayors Migration Council
   Romm M., 2022, National Consortium for the Study of Terrorism and Responses to Terrorism
   Sadhu PK, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22197433
   Sanchez-Rodriguez R, 2009, CURR OPIN ENV SUST, V1, P201, DOI 10.1016/j.cosust.2009.10.005
   Sauer S., 2017, Vox
   Savelli E, 2023, NAT SUSTAIN, V6, P929, DOI 10.1038/s41893-023-01100-0
   Sharifi A, 2022, ENVIRON PLAN B-URBAN, V49, P1347, DOI 10.1177/23998083221102400
   Sharifi A, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122813
   Shelton T, 2015, CAMB J REG ECON SOC, V8, P13, DOI 10.1093/cjres/rsu026
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Srmaek B., 2021, arXiv, DOI [10.48550/arxiv.2107.02693, DOI 10.48550/ARXIV.2107.02693]
   Stern NH., 2007, The Economics of Climate Change
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   UN Environment Programme, 2024, Cities and climate change
   UNEP, 2011, GREEN EC PATHWAYS SU, P1
   Vince Vince Gaia. Gaia., 2022, Nomad Century: How Climate Migration Will Reshape Our World, VFirst First
   Wahab NSN, 2020, IOP C SER EARTH ENV, V498, DOI 10.1088/1755-1315/498/1/012087
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   Xu C, 2020, P NATL ACAD SCI USA, V117, P11350, DOI 10.1073/pnas.1910114117
   Ye B, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110415
NR 63
TC 0
Z9 0
U1 16
U2 16
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 2024 DEC 4
PY 2024
DI 10.1080/07352166.2024.2427636
EA DEC 2024
PG 19
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA O2Z5P
UT WOS:001369874300001
DA 2025-04-22
ER

PT J
AU Li, Y
   Degener, J
   Gaudreau, M
   Li, YF
   Kappas, M
AF Li, Yi
   Degener, Jan
   Gaudreau, Matthew
   Li, Yangfan
   Kappas, Martin
TI Adaptive capacity based water quality resilience transformation and
   policy implications in rapidly urbanizing landscapes
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Adaptive capacity; Adaptive cycle; Water quality; Land use; Urban
   resilience; Urban planning
ID SOCIAL-ECOLOGICAL SYSTEMS; LAND-USE; CHINA; ADAPTATION; URBANIZATION;
   VULNERABILITY; GOVERNANCE; CATCHMENT; MODEL
AB Resilience-based management focuses on specific attributes or drivers of complex social-ecological systems, in order to operationalize and promote guiding principles for water quality management in urban systems. We therefore propose a resilience lens drawing on the theory of adaptive capacity and adaptive cycle to evaluate the urban resilience between water quality and land use type. Our findings show that the resilience of water quality variables, which were calculated based on their adaptive capacities, showed adaptive and sustainable trends with dramatic fluctuation. NH3-N, Cadmium and Total Phosphorus experienced the most vulnerable shifts in the built-up area, agricultural areas, and on bare land. Our framework provided a consistent and repeatable approach to address uncertainty inherent in the resilience of water quality in different landscapes, as well as an approach to monitor variables over time with respect to national water quality standards. Ultimately, we pointed to the political underpinnings for risk mitigation and managing resilient urban systemin a particular coastal urban setting. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Li, Yi; Degener, Jan; Kappas, Martin] Univ Gottingen, Inst Geog, Dept Cartog GIS & Remote Sensing, D-37077 Gottingen, Germany.
   [Gaudreau, Matthew] Univ Waterloo, Fac Environm, Balsillie Sch Int Affairs, 67 Erb St West, Waterloo, ON N2L 6C2, Canada.
   [Li, Yi; Li, Yangfan] Xiamen Univ, Coll Environm & Ecol, Minist Educ, Key Lab Coastal & Wetland Ecosyst, South XiangAn Rd, Xiamen 361102, Peoples R China.
C3 University of Gottingen; University of Waterloo; Xiamen University
RP Li, Y (corresponding author), Univ Gottingen, Inst Geog, Dept Cartog GIS & Remote Sensing, D-37077 Gottingen, Germany.; Li, YF (corresponding author), Xiamen Univ, Coll Environm & Ecol, Minist Educ, Key Lab Coastal & Wetland Ecosyst, South XiangAn Rd, Xiamen 361102, Peoples R China.
EM ly463526@gmail.com; yangf@xmu.edu.cn
RI LI, Yangfan/AAD-9857-2022; Kappas, Martin/B-2597-2017
OI Li, Yi/0000-0002-7871-5351; Kappas, Martin/0000-0002-3173-4870
FU National Natural Science Foundation of China (NSFC) [41271008];
   Fundamental Research Funds for the Central Universities of China
   [20720150074]
FX We are most grateful to Svenja Seide at Georg-August University of
   Goettingen for her valuable suggestions. Financial support was provided
   by the National Natural Science Foundation of China (NSFC) Grants
   (41271008) and the Fundamental Research Funds for the Central
   Universities of China (20720150074).
CR Aguilera SE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118992
   Alliance R., 2007, Assessing resilience in social-ecological systems: a workbook for scientists
   [Anonymous], 1997, Numerical Recipes: The Art of Scientific Computing
   [Anonymous], 2002, PANARCHY UNDERSTANDI
   Ayda E., 2013, RESILIENCE THINKING
   Bhat S, 2006, ECOL INDIC, V6, P458, DOI 10.1016/j.ecolind.2005.06.005
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Collet L, 2015, SCI TOTAL ENVIRON, V536, P589, DOI 10.1016/j.scitotenv.2015.07.093
   Dodder NG, 2014, MAR POLLUT BULL, V81, P340, DOI 10.1016/j.marpolbul.2013.06.041
   Eakin H, 2010, GLOBAL ENVIRON CHANG, V20, P14, DOI 10.1016/j.gloenvcha.2009.08.005
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   FALKENMARK M, 1989, AMBIO, V18, P112
   Falloon P, 2010, SCI TOTAL ENVIRON, V408, P5667, DOI 10.1016/j.scitotenv.2009.05.002
   Folke C., 2002, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   García-López JM, 2011, ECOL MODEL, V222, P1436, DOI 10.1016/j.ecolmodel.2011.02.001
   Gaudreau M, 2015, J ENVIRON DEV, V24, P418, DOI 10.1177/1070496515602044
   Gilfedder M, 2012, ENVIRON MODELL SOFTW, V38, P62, DOI 10.1016/j.envsoft.2012.05.005
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hobson K, 2011, GLOBAL ENVIRON CHANG, V21, P957, DOI 10.1016/j.gloenvcha.2011.05.001
   Li YF, 2016, ENVIRON POLLUT, V208, P87, DOI 10.1016/j.envpol.2015.08.042
   Li YF, 2012, J ENVIRON MANAGE, V98, P127, DOI 10.1016/j.jenvman.2011.12.025
   Liang S, 2014, ENVIRON SCI TECHNOL, V48, P1103, DOI 10.1021/es4042429
   LILLIEFORS HW, 1967, J AM STAT ASSOC, V62, P399, DOI 10.2307/2283970
   Liu SG, 2011, MAR POLLUT BULL, V62, P2220, DOI 10.1016/j.marpolbul.2011.06.021
   Maldonado JH, 2014, ECOL SOC, V19, DOI 10.5751/ES-05962-190116
   Mulholland PJ, 2008, NATURE, V452, P202, DOI 10.1038/nature06686
   Silva JSO, 2011, BIOGEOCHEMISTRY, V105, P75, DOI 10.1007/s10533-010-9557-8
   Orwin KH, 2004, SOIL BIOL BIOCHEM, V36, P1907, DOI 10.1016/j.soilbio.2004.04.036
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Rockstrom J.M. Falkenmark., 2014, Water Resilience for Human Prosperity
   Scott S, 2014, FOOD POLICY, V45, P158, DOI 10.1016/j.foodpol.2013.08.002
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   STEPHENS MA, 1974, J AM STAT ASSOC, V69, P730, DOI 10.2307/2286009
   Su SL, 2011, WATER RES, V45, P1781, DOI 10.1016/j.watres.2010.11.030
   The Ministry of Environmental Protection of the People's Republic of China, 2002, 38382002 GB MIN ENV
   Tong STY, 2002, J ENVIRON MANAGE, V66, P377, DOI 10.1006/jema.2002.0593
   Vörösmarty CJ, 2015, SCIENCE, V349, P478, DOI 10.1126/science.aac6009
   Walker B, 2004, ECOL SOC, V9
   Walker B., 2012, RESILIENCE PRACTICE
   Wang JY, 2008, ENVIRON POLLUT, V152, P387, DOI 10.1016/j.envpol.2007.06.050
   Wang Q., 2015, PLOS ONE, V10
   West SP, 2015, ECOL SOC, V20, DOI 10.5751/ES-07190-200131
NR 48
TC 19
Z9 21
U1 7
U2 116
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 NOV 1
PY 2016
VL 569
BP 168
EP 178
DI 10.1016/j.scitotenv.2016.06.110
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DU5RM
UT WOS:000382269000019
PM 27341117
DA 2025-04-22
ER

PT J
AU Xie, JR
AF Xie, Jiarong
TI Identifying and Ranking the Dimensions of Urban Resilience and Its
   Effect on Sustainable Urban Development in Tongdejie, China
SO SUSTAINABILITY
LA English
DT Article
DE identification; ranking; dimensions of resilience; sustainable
   development; Tongdejie
ID COMMUNITY RESILIENCE; MANAGEMENT; RISK
AB Urban resilience strengthens urban sustainability and leads to sustainable solutions in the process of promoting sustainable development. Paying attention to the benefits of urban resilience to strengthen sustainable urban systems is vital to achieve our desired future. This study aims to identify and classify the key indicators of resilience in Tongdejie, a residential area in Guangzhou, China, as well as to examine and compare these indicators with sustainable development indicators. Fuzzy AHP was used to rank the most important indicators in Tongdejie. The results showed that the first three important indicators were economic indicators, and the economic dimension with a weight of 0.41 was higher than the other four indicators. Then, social and cultural indicators took second place with a weight of 0.194, and the management and institutional indicators took third place with a weight of 0.194. Structural-physical and environmental dimensions were ranked fourth and fifth, respectively. From the obtained results and their comparison with the sustainable indicators, in addition to ranking the importance of these indicators and incorporating the research related to urban construction development indicators, it can be concluded that these two concepts have a direct relationship with each other. In order to attain a desired and resilient urban future, it is important to pay attention to the indications and advantages of resilience. This leads to the development and stability of urban systems.
C1 [Xie, Jiarong] City Univ Macau, Fac innovat & Design, Macau 999078, Peoples R China.
C3 City University of Macau
RP Xie, JR (corresponding author), City Univ Macau, Fac innovat & Design, Macau 999078, Peoples R China.
EM xjiarong888@163.com
CR Af N., 2016, THESIS EMU DAU GAZIM
   Ajibade I, 2017, INT J DISAST RISK RE, V26, P85, DOI 10.1016/j.ijdrr.2017.09.029
   Alam-Tabriz A., 2014, GLOB J MANAG STUD RE, V1, P85
   Barasa E, 2018, INT J HEALTH POLICY, V7, P491, DOI 10.15171/ijhpm.2018.06
   Ben Mabrouk N, 2021, DECISION SCI LETT, V10, P63, DOI 10.5267/j.dsl.2020.10.003
   Blackmore JM, 2008, J WATER RES PLAN MAN, V134, P224, DOI 10.1061/(ASCE)0733-9496(2008)134:3(224)
   Boje C, 2020, AUTOMAT CONSTR, V114, DOI 10.1016/j.autcon.2020.103179
   Borsekova K, 2018, INT J DISAST RISK RE, V31, P381, DOI 10.1016/j.ijdrr.2018.05.012
   Cao Y, 2021, APPL THERM ENG, V196, DOI 10.1016/j.applthermaleng.2021.117339
   Capello R, 2015, J ECON GEOGR, V15, P951, DOI 10.1093/jeg/lbu053
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chan APC, 2018, J CLEAN PROD, V172, P1067, DOI 10.1016/j.jclepro.2017.10.235
   Cheng HX, 2014, J GEOCHEM EXPLOR, V139, P31, DOI 10.1016/j.gexplo.2013.08.012
   Cimellaro GP, 2016, GEOTECH GEOL EARTHQ, V41, P1, DOI 10.1007/978-3-319-30656-8
   Cocozza S, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17061895
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   Cuesta J., 2022, SOCIAL EXCLUSION CON, DOI [10.1596/1813-9450-10097, DOI 10.1596/1813-9450-10097]
   Drolet Julie., 2015, GENDER DEV, V23, P433, DOI [DOI 10.1080/13552074.2015.1096040, 10.1080/13552074.2015.1096040]
   Fink-Hafner D., 2019, Metodoloski zvezki, V16, P1, DOI DOI 10.51936/FCFM6982
   Giacovelli G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159253
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang J, 2022, LAND-BASEL, V11, DOI 10.3390/land11091470
   Jamali A, 2023, J INDIAN SOC REMOTE, V51, P893, DOI 10.1007/s12524-023-01670-8
   Jarzebski MP, 2016, SUSTAIN SCI, V11, P307, DOI 10.1007/s11625-015-0323-7
   Kamranfar S, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12101641
   Karji A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125088
   Kiss T, 2018, ECOL ECON, V144, P160, DOI 10.1016/j.ecolecon.2017.08.004
   Koutsi D, 2021, HERITAGE-BASEL, V4, P3469, DOI 10.3390/heritage4040192
   Kumar R., 2021, INT J MOD RES, V1, P1
   Kuran CHA, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101826
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Linnenluecke MK, 2012, BUS STRATEG ENVIRON, V21, P17, DOI 10.1002/bse.708
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Mathew M, 2020, ENG APPL ARTIF INTEL, V96, DOI 10.1016/j.engappai.2020.103988
   Mcphearson T., 2014, RISE RESILIENCE LINK, V1, P5
   Meyer N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195514
   Miller TR, 2011, INT J SUST HIGHER ED, V12, P177, DOI 10.1108/14676371111118228
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   Noori A, 2020, EXPERT SYST, V37, DOI 10.1111/exsy.12568
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Novák V, 2015, J APPL LOGIC, V13, P94, DOI 10.1016/j.jal.2014.11.003
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Patel R., 2016, DEFINING RESILIENT C, P1
   Proag V, 2014, PROC ECON FINANC, V18, P222, DOI 10.1016/S2212-5671(14)00934-4
   Rastbod S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010231
   Reig-Mullor J, 2021, SOFT COMPUT, V25, P9061, DOI 10.1007/s00500-021-05847-6
   Resurreccion BernadetteP., 2019, Gender-Transformative Climate Change Adaptation: Advancing Social Equity
   Romero-Lankao P, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121224
   Saunders WSA, 2015, INT J DISAST RISK RE, V14, P73, DOI 10.1016/j.ijdrr.2015.01.013
   Seager T.P., 2008, BUS STRATEG ENVIRON, V17, P444, DOI [10.1002/bse.632, DOI 10.1002/BSE.632]
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Sharifi A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9061032
   Shi T, 2021, GROWTH CHANGE, V52, P2364, DOI 10.1111/grow.12554
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Walker B, 2010, ENVIRON RESOUR ECON, V45, P183, DOI 10.1007/s10640-009-9311-7
   Wu ZZ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16173140
   Yang J, 2015, J HOUS BUILT ENVIRON, V30, P275, DOI 10.1007/s10901-014-9406-5
   Yang M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141710585
   Yuan Y, 2021, HABITAT INT, V109, DOI 10.1016/j.habitatint.2021.102327
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 63
TC 2
Z9 2
U1 10
U2 25
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2023
VL 15
IS 6
AR 5606
DI 10.3390/su15065606
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 C0BG2
UT WOS:000958671300001
OA gold
DA 2025-04-22
ER

PT J
AU Liu, H
   Li, XM
   Gong, YL
   Li, SB
   Cong, XP
AF Liu, He
   Li, Xueming
   Gong, Yilu
   Li, Songbo
   Cong, Xueping
TI Resilience Evolution of Urban Network Structures from a Complex Network
   Perspective: A Case Study of Urban Agglomeration along the Middle
   Reaches of the Yangtze River
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
DE Complex network; Structural resilience; Resilience evolution assessment;
   Social network analysis; Yangtze River
AB With the increasingly notable trend of urban networking and integration, urban development faces an unprecedented increase in unknown risks. Urban governance must improve various risk prevention and control capabilities as soon as possible. In this context, this study builds an integrated network based on economic, information, transportation, and innovation networks. Taking the urban agglomeration along the middle reaches of the Yangtze River as the research area, we used UCINET (version 6.0), ArcGIS (version 10.2), Gephi (version 0.9.2), and other software to analyze these factors from three perspectives: hierarchy, matching, and transmission. We evaluated and analyzed the evolution characteristics of the urban agglomeration network structure resilience from 2011 to 2019. The results showed that (1) from 2011 to 2019, the urban agglomeration in the middle reaches of the Yangtze River formed a network development pattern of "three-core leading and multicenter development." In this region, the urban network displayed an expanding trend. (2) The hierarchy within the network structure exhibited a weakening trend, yet the matching efficiency and transmission capacity experienced significant improvement. This suggests that the resilience characteristics of the integrated network structure of urban agglomerations are increasingly reinforced, enabling better adaptation to and endurance of external shocks. (3) Enhancements to matching and transmission can partially improve the agglomeration and stability of the urban agglomeration system. This also promotes the resilience and recovery ability of the urban agglomeration system while managing the impacts of uncertain internal and external factors. (4) The interruption simulation demonstrates that the urban agglomeration in the middle reaches of the Yangtze River is significantly influenced by the failure of Wuhan, a city that holds a pivotal role in fostering the resilience of the urban agglomeration network structure. This study aims to provide a foundation for network structure resilience and a reference for promoting healthy regional development, aiding urban agglomeration to achieve high-quality development.
C1 [Liu, He] Anshan Normal Univ, Dept Geog Sci, Anshan 114007, Peoples R China.
   [Li, Xueming; Cong, Xueping] Liaoning Normal Univ, Sch Geog, Dalian 116029, Peoples R China.
   [Li, Xueming; Cong, Xueping] Liaoning Normal Univ, Human Settlements Res Ctr, Dalian 116029, Peoples R China.
   [Gong, Yilu] Dalian Polytech Univ, Sch Art & Design, Dalian 116033, Peoples R China.
   [Li, Songbo] Shenyang Univ, Normal Coll, Shenyang 110044, Peoples R China.
C3 Anshan Normal University; Liaoning Normal University; Liaoning Normal
   University; Dalian Polytechnic University; Shenyang University
RP Liu, H (corresponding author), Anshan Normal Univ, Dept Geog Sci, Anshan 114007, Peoples R China.
EM liuhe1581@163.com; lixueming@lnnu.edu.cn; gongyl@dlpu.edu.cn;
   0825lisongbo@sina.com; congxueping@163.com
OI liu, he/0000-0002-2085-3970
FU National Natural Science Foundation of China [41671158]
FX The work is sponsored by the National Natural Science Foundation of
   China (Grant number 41671158).
CR Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bristoe G., 2020, Handbook on regional economic resilience
   Brusset X, 2017, INT J PROD ECON, V184, P59, DOI 10.1016/j.ijpe.2016.09.008
   Cao Z, 2022, REG STUD, V56, P290, DOI 10.1080/00343404.2021.1906410
   Chu H, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151813329
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   Ding YT, 2020, ENERGY, V211, DOI [10.1016/j.energy.2020.118459, 10.1016/j.cnergy.2020.118459]
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Eraydin A., 2012, Resilience Thinking in Urban Planning
   [高鑫 Gao Xin], 2024, [西部人居环境学刊, Journal of Human Settlements in West China], V39, P147
   Guo JK, 2022, HABITAT INT, V126, DOI 10.1016/j.habitatint.2022.102624
   [郭卫东 Guo Weidong], 2022, [地理研究, Geographical Research], V41, P1371
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu Y, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.912462
   Huang C., 2014, J. Manage. Sci, V22, P686, DOI DOI 10.16381/J.CNKI.ISSN1003-207X.2014.S1.113
   Huang J, 2022, LAND-BASEL, V11, DOI 10.3390/land11091470
   Li RP, 2024, BUILDINGS-BASEL, V14, DOI 10.3390/buildings14041093
   Liu H, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070945
   [吕拉昌 Lyu Lachang], 2015, [地理科学, Scientia Geographica Sinica], V35, P30
   [孟德友 Meng Deyou], 2017, [地理研究, Geographical Research], V36, P1339
   [彭翀 Peng Chong], 2019, [经济地理, Economic Geography], V39, P68
   Shi JL, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14138005
   Tang B., 2023, Areal Res. Dev, V42, P73, DOI [10.3969/j.issn.1003-2363.2023.03.012, DOI 10.3969/J.ISSN.1003-2363.2023.03.012]
   [田野 Tian Ye], 2022, [地域研究与开发, Areal Research and Development], V41, P82
   Wang J, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.893964
   Wei SM, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10120796
   Wu Y, 2020, ECOL INDIC, V112, DOI 10.1016/j.ecolind.2020.106088
   [谢永顺 Xie Yongshun], 2020, [地理科学进展, Progress in Geography], V39, P1619
   Xiong YJ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141912515
   Xu GQ, 2022, FRONT PHYS-LAUSANNE, V10, DOI 10.3389/fphy.2022.969311
   Yang LJ, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192013667
   Yang YB, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10050617
   Yuan CW, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16073086
   Zeng P., 2022, Frontiers, VZ1, P35, DOI [10.16619/j.cnki.rmltxsqy.2022.1112.004, DOI 10.16619/J.CNKI.RMLTXSQY.2022.1112.004]
   Zhang Q, 2022, CHAOS SOLITON FRACT, V161, DOI 10.1016/j.chaos.2022.112264
   Zhang Y, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.999124
   Zhao K, 2011, IEEE SYST J, V5, P28, DOI 10.1109/JSYST.2010.2100192
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhong Y., 2020, J. Jiangxi Norm. Univ. (Philos. Soc. Sci. Ed.), V53, P47
NR 39
TC 0
Z9 0
U1 20
U2 20
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 MAR 1
PY 2025
VL 151
IS 1
AR 05024042
DI 10.1061/JUPDDM.UPENG-5005
PG 12
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 S3R5J
UT WOS:001397437000034
DA 2025-04-22
ER

PT J
AU Pan, HL
   Yang, YX
   Zhang, W
   Xu, MZ
AF Pan, Huali
   Yang, Yuxin
   Zhang, Wei
   Xu, Mingzhi
TI Research on Coupling Coordination of China's Urban Resilience and
   Tourism Economy-Taking Yangtze River Delta City Cluster as an Example
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; tourism economy; coupling coordination degree; Yangtze
   River Delta
ID VULNERABILITY; MODEL
AB Urban resilience provides the foundation and guarantee for the tourism economy, and the development of the tourism industry provides new opportunities and impetus for urban resilience. The coordinated development of urban resilience (UR) and the tourism economy (TE) contributes to the high-quality development of the regional economy. This study takes 27 cities in the Yangtze River Delta (YRD) urban agglomeration as an example. Various analytical techniques, including the entropy method, coupling coordination degree model (CCDM), kernel density estimation, Theil index, and obstacle degree model, are employed to investigate the spatiotemporal evolution patterns and influencing factors that affect the coupling coordination degree (CCD) between UR and TE. The findings indicate that: (1) The urban resilience and tourism economy exhibited an increasing trend denoted by "N" and "M", respectively. (2) The coupling coordination level has undergone a development phase of "Moderate disorder-Bare coordination-Moderate disorder". (3) The level of coordination has been enhanced, with intra-regional differences identified as the primary source of variation. (4) The number of Internet users, the number of students in institutions of higher learning, per capita public financial expenditure, science and technology expenditures as a share of fiscal expenditures, urban per capita disposable income, foreign exchange earnings from tourism, and the number of inbound tourists is the main factors affecting the CCD of urban resilience and tourism economy.
C1 [Pan, Huali; Yang, Yuxin; Zhang, Wei; Xu, Mingzhi] Shandong Normal Univ, Business Sch, Jinan 250358, Peoples R China.
C3 Shandong Normal University
RP Zhang, W (corresponding author), Shandong Normal Univ, Business Sch, Jinan 250358, Peoples R China.
EM 110096@sdnu.edu.cn; yangyuxin202206@163.com; zwjnsd@163.com;
   xumingzhi202304@163.com
RI pan, hua/LSK-5172-2024
FU Optimization path of ecotourism corridor spatial layout in Yellow River
   Basin
FX No Statement Available
CR Admiraal H, 2020, UNDERGR SPACE, V5, P223, DOI 10.1016/j.undsp.2019.02.001
   [Anonymous], 2021, National Star Hotel Statistical Survey Report
   Bao Jian-fei, 2020, Journal of Guangxi Normal University - Natural Science Edition, V38, P117, DOI 10.16088/j.issn.1001-6600.2020.03.015
   Brand FS, 2007, ECOL SOC, V12
   Calgaro E, 2014, J SUSTAIN TOUR, V22, P341, DOI 10.1080/09669582.2013.826229
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chen N, 2023, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.1033441
   Chen XS, 2023, ENVIRON SCI POLLUT R, V30, P65455, DOI 10.1007/s11356-023-26861-1
   Cheng HT, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061751
   [程慧 Cheng Hui], 2023, [陕西师范大学学报. 自然科学版, Journal of Shaanxi Normal University. Natural Science Edition], V51, P59
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Fastenrath S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030693
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Han S, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107145
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   Huang J, 2022, LAND-BASEL, V11, DOI 10.3390/land11091470
   Hunter LM, 2005, POPUL ENVIRON, V26, P273, DOI 10.1007/s11111-005-3343-x
   Kiss T, 2018, ECOL ECON, V144, P160, DOI 10.1016/j.ecolecon.2017.08.004
   Li C., 2023, East China Econ. Manag, V37, P35, DOI [10.19629/j.cnki.34-1014/f.221027004, DOI 10.19629/J.CNKI.34-1014/F.221027004]
   Li H., 2023, Nor. Econ, V4, P44
   Liao C.B., 1999, Trop. Geogr, V19, P171
   Liu NA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010456
   Liu Y., 2023, China Environ. Sci., DOI [10.19674/j.cnki.issn1000-6923.20230823.012, DOI 10.19674/J.CNKI.ISSN1000-6923.20230823.012]
   Lu H, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103167
   Luo X, 2022, WATER-SUI, V14, DOI 10.3390/w14071083
   Ma H., 2023, World Surv. Res, V7, P28, DOI [10.13778/j.cnki.11-3705/c.2023.07.003, DOI 10.13778/J.CNKI.11-3705/C.2023.07.003]
   Ma L., 2012, J. Geogr. Sci, V67, P1299
   Manyena SB, 2006, DISASTERS, V30, P433
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Ntounis N, 2022, CURR ISSUES TOUR, V25, P46, DOI 10.1080/13683500.2021.1883556
   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.]
   Pei W., 2020, Stat. Decis, V36, P119, DOI DOI 10.13546/J.CNKI.TJYJC.2020.16.026
   Quan M., 2019, Hous. Sci, V39, P1, DOI [10.13626/j.cnki.hs.2019.02.001, DOI 10.13626/J.CNKI.HS.2019.02.001]
   Roberts D, 2020, ENVIRON URBAN, V32, P547, DOI 10.1177/0956247820946555
   Rodríguez-Izquierdo E, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104485
   Scott D, 2019, ANN TOURISM RES, V77, P49, DOI 10.1016/j.annals.2019.05.007
   [史晨辰 Shi Chenchen], 2023, [生态学报, Acta Ecologica Sinica], V43, P1726
   Shi T, 2021, GROWTH CHANGE, V52, P2364, DOI 10.1111/grow.12554
   sjfw.mct, National 5A Tourist Attraction
   Sun J, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105058
   Tumini I, 2017, NAT HAZARDS, V85, P1363, DOI 10.1007/s11069-016-2630-4
   Wagner Iwona, 2013, Ecohydrology & Hydrobiology, V13, P113, DOI 10.1016/j.ecohyd.2013.06.002
   [汪东川 Wang Dongchuan], 2023, [生态学报, Acta Ecologica Sinica], V43, P6321
   Wang J, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.893964
   [王兆峰 Wang Zhaofeng], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P447
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   [魏超 Wei Chao], 2023, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V32, P2032
   [翁钢民 Weng Gangmin], 2021, [经济地理, Economic Geography], V41, P196
   Xiong YN, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14105889
   Xu X, 2023, INT J ENV RES PUB HE, V20, DOI 10.3390/ijerph20010413
   Yang M., 2023, Statistics and Decision Making, V39, P126, DOI [10.13546/j.cnki.tjyjc.2023.03.023, DOI 10.13546/J.CNKI.TJYJC.2023.03.023]
   Yang SS, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-46166-0
   [杨秀平 Yang Xiuping], 2021, [地理与地理信息科学, Geography and Geo-information Science], V37, P78
   Yang XP, 2021, ENVIRON SCI POLLUT R, V28, P65094, DOI 10.1007/s11356-021-14932-0
   Ye CS, 2022, GEOGR SUSTAIN, V3, P299, DOI 10.1016/j.geosus.2022.09.004
   Yin D., 2023, J. Guangzhou Univ. (Soc. Sci. Ed.), V22, P113
   Yin P., 2015, Geogr. Sci, V35, P1101, DOI [10.13249/j.cnki.sgs.2015.09.005, DOI 10.13249/J.CNKI.SGS.2015.09.005]
   Zhang J, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1174875
   Zhang N, 2018, RISK ANAL, V38, P31, DOI 10.1111/risa.12807
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhang Y, 2024, SUSTAIN DEV, V32, P1825, DOI 10.1002/sd.2750
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   [周倩 Zhou Qian], 2020, [水土保持研究, Research of Soil and Water Conservation], V27, P286
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 68
TC 6
Z9 6
U1 24
U2 75
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 1247
DI 10.3390/su16031247
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 HO0K6
UT WOS:001160325100001
OA gold
DA 2025-04-22
ER

PT J
AU Pan, SJ
   Zhao, ZY
   Lim, HW
   Li, N
   Fang, DP
AF Pan, Shengjie
   Zhao, Zeyu
   Lim, Huey Wen
   Li, Nan
   Fang, Dongping
TI Restored Quality of Life-based approach (REQUALIFE) for urban seismic
   resilience assessment: Case study
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban resilience; Wenchuan earthquake; Post -disaster quality of life;
   Need satisfaction; City performance
AB Management of urban seismic resilience relies on effective assessment approaches. However, developing an approach for the quantitative assessment at the urban scale remains to be a challenging task due to the complexity and heterogeneity of urban systems. Accordingly, Part I proposed a Restored Quality of Life-based approach to bridge this gap. As an extension of Part I, this study conducted a case study on a test city in China that experienced the devastating Wenchuan earthquake in 2008 to demonstrate the applicability of the proposed approach. The desired and actual performance curves of the city were delineated according to the collected data and materials of the field survey. The overall urban seismic resilience of the city was then assessed, and details from the temporal and spatial dimensions were investigated. The case study demonstrated that the need satisfactions of residents in different phases varied. Moreover, the resilience differences within the city were demonstrated. The causes for these differences were further analyzed. This case study calibrates the proposed approach and serves as a valuable reference for the effective assessment and improvement of urban seismic resilience.
C1 [Pan, Shengjie; Zhao, Zeyu; Li, Nan; Fang, Dongping] Tsinghua Univ, Dept Construct Management, Beijing, Peoples R China.
   [Lim, Huey Wen] Univ Melbourne, Fac Architecture Bldg & Planning, Melbourne, Vic, Australia.
C3 Tsinghua University; University of Melbourne
RP Fang, DP (corresponding author), Tsinghua Univ, Dept Construct Management, Beijing, Peoples R China.
EM thupsj13@163.com; zhaozy21@mails.tsinghua.edu.cn;
   hueywen.lim@unimelb.edu.au; nanli@tsinghua.edu.cn;
   fangdp@tsinghua.edu.cn
RI zhao, zeyu/GQB-3165-2022; Lim, Hueywen/GOP-1932-2022; Li,
   Nan/IXD-8260-2023
OI Lim, Huey Wen/0000-0003-2711-6540; Pan, Shengjie/0000-0002-4202-0865
FU National Natural Science Foundation of China (NSFC) [U1709212,
   71974106]; National Key Research and Development Program of China
   [2018YFC0809900]; Beijing Natural Science Foundation (BJNSF) [8202027]
FX Data availability The data that has been used is confidential.
   Acknowledgements This material is based on work supported by the
   National Natural Science Foundation of China (NSFC) under Grant Nos.
   U1709212 and 71974106, the National Key Research and Development Program
   of China under Grant No. 2018YFC0809900, and the Beijing Natural Science
   Foundation (BJNSF) under Grant No. 8202027. Any opinions, findings,
   conclusions, or recommendations expressed in this paper are those of the
   authors and do not necessarily reflect the views of the funding
   agencies. The authors are thankful to the experts in M City for
   providing valuable advice on this work.
CR [Anonymous], NIST SPECIAL PUBLICA, DOI [DOI 10.6028/NIST.SP.1190V2, 10.6028/NIST.SP.1190v1, DOI 10.6028/NIST.SP.1190V1]
   [Anonymous], 2011, HUM CHART MIN STAND
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   General Office of the State Council of the Peoples Republic of China, 2012, NAT EARTHQ EM PLAN
   Hayashi Y., 2016, Resilience for empowering the regions-National grand design making good use of traditional knowledge and big data
   ISO, 2019, ISO 37123
   Li ZS, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000814
   Links JM, 2018, DISASTER MED PUBLIC, V12, P127, DOI 10.1017/dmp.2017.39
   Mao Q, 2021, J MANAGE ENG, V37, DOI 10.1061/(ASCE)ME.1943-5479.0000964
   Mao Q, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101916
   Minister of Housing and Urban-Rural Development People's Republic of China, 2011, CODE CLASSIFICATION
   Pan SJ, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103169
   Sung CH, 2020, WATER-SUI, V12, DOI 10.3390/w12051401
   The People's Government of M City, 2008, M STAT YB 2007
   The People's Government of M City, 2009, PEOPL GOV M CIT REC
NR 15
TC 7
Z9 8
U1 8
U2 61
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 2022
VL 79
AR 103170
DI 10.1016/j.ijdrr.2022.103170
EA AUG 2022
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 4X2ER
UT WOS:000860661400011
DA 2025-04-22
ER

PT J
AU Sharifi, A
AF Sharifi, Ayyoob
TI Urban form resilience: A meso-scale analysis
SO CITIES
LA English
DT Article
DE Urban form resilience; Neighborhood; Urban lot; Urban block; Urban open
   spaces; Climate change mitigation and adaptation
ID OPEN SPACES; TSUNAMI EVACUATION; GREEN AREAS; MASTER-PLAN; DESIGN;
   MORPHOLOGY; SPRAWL; CITIES; ENVIRONMENT; SYSTEMS
AB Impacted by the compounding effects of climate change and urbanization, cities are facing a panoply of risks that threaten their sustainability. Recognizing the potentially catastrophic ramifications of inaction, local governments are increasingly involved in resilience-building activities that are informed by a vast body of research related to different socio-economic, environmental, and institutional aspects of urban planning and design. However, despite its significant impacts on growth and evolution of cities, limited research exists on how urban form can enhance resilience by increasing the abilities to plan for, absorb, recover from, and adapt to adverse events. As a step towards filling this gap, this paper explores how meso-scale urban form elements can affect urban resilience. This is done through synthesizing theoretical and empirical evidence reported in the literature. The focus is on morphological parameters related to the following urban form elements: neighborhoods, blocks, lots, and open spaces. Results show that existing evidence is mainly related to the associations between neighborhood density, size and configuration of open spaces, and land use mix' and resilience to 'climate change impacts', 'earthquakes', 'social issues', and 'resource scarcity'. There is also considerable evidence on the association between design of blocks/lots and resilience in terms of climate change adaptation/mitigation and adaptability to changing circumstances. The analysis also shows that each element influences and is influenced by other elements in the urban system and different elements should not be studied in isolation and the interplay between them should be considered. Existing evidence on conflicts is mainly related to density, but measures related to other elements may also involve conflicts. The paper concludes with a set of recommendations for future research towards improving resilience of urban form at the meso-scale.
C1 [Sharifi, Ayyoob] 1-3-1 Kagamiyama, Higashihiroshima, Hiroshima 7398530, Japan.
RP Sharifi, A (corresponding author), 1-3-1 Kagamiyama, Higashihiroshima, Hiroshima 7398530, Japan.
EM sharifi@hiroshima-u.ac.jp
RI Sharifi, Ayyoob/M-7584-2013
OI Sharifi, Ayyoob/0000-0002-8983-8613
CR Abdulkareem M, 2018, INT J DISAST RISK RE, V28, P176, DOI 10.1016/j.ijdrr.2018.02.009
   Aguilar J.R., 2014, Resilient cities: an analysis of resilient urban form
   Alawadi K., 2017, J PLAN EDUC RES, V39, P18
   Alexander C., 1977, A Pattern Language
   Allan P, 2013, J URBAN DES, V18, P242, DOI 10.1080/13574809.2013.772881
   Alvarez G, 2018, NAT HAZARD EARTH SYS, V18, P2027, DOI 10.5194/nhess-18-2027-2018
   Anhorn J, 2015, NAT HAZARD EARTH SYS, V15, P789, DOI 10.5194/nhess-15-789-2015
   [Anonymous], 2016, ENV PLANNING B
   [Anonymous], 2010, ELEMENTS URBAN FORM
   [Anonymous], 2012, DIRENAT IMP
   Barau AS, 2015, LAND USE POLICY, V42, P307, DOI 10.1016/j.landusepol.2014.08.007
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Barton HughMarcus Grant in Richard Guise., 2003, SHAPING NEIGHBOURHOO
   Bourdic L, 2012, BUILD RES INF, V40, P518, DOI 10.1080/09613218.2012.690951
   Brand D, 2016, J URBAN DES, V21, P159, DOI 10.1080/13574809.2015.1133231
   Brody SD, 2011, J PLAN EDUC RES, V31, P438, DOI 10.1177/0739456X11419515
   Bruwier M, 2018, SCI TOTAL ENVIRON, V622, P446, DOI 10.1016/j.scitotenv.2017.11.325
   Byahut S, 2017, J URBAN PLAN DEV, V143, DOI 10.1061/(ASCE)UP.1943-5444.0000354
   Calthorpe P., 1993, The next American metropolis: Ecology, community and the American dream
   Caniggia Gianfranco., 2001, ARCHITECTURAL COMPOS
   Cao X, 2010, LANDSCAPE URBAN PLAN, V96, P224, DOI 10.1016/j.landurbplan.2010.03.008
   Carmona M., 2021, PUBLIC PLACES URBAN, DOI DOI 10.4324/9781315158457
   Carpenter A, 2015, INT J DISAST RISK RE, V14, P290, DOI 10.1016/j.ijdrr.2014.09.003
   Chi GQ, 2017, J PLAN EDUC RES, V37, P334, DOI 10.1177/0739456X16657159
   Clark TA, 2013, ENERG POLICY, V53, P413, DOI 10.1016/j.enpol.2012.11.006
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Conzen MP, 2001, URBAN MORPHOL, V5, P3
   CONZEN MRG, 1960, T I BRIT GEOGR, P1
   Cook EA, 2007, J GREEN BUILD, V2, P46, DOI 10.3992/jgb.2.4.46
   de la Barrera F, 2016, ECOL INDIC, V62, P212, DOI 10.1016/j.ecolind.2015.10.027
   De Montis A, 2016, LAND USE POLICY, V50, P312, DOI 10.1016/j.landusepol.2015.10.004
   De Rosa S, 2016, CITIES, V51, P74, DOI 10.1016/j.cities.2015.11.025
   Dempsey N, 2012, PROG PLANN, V77, P89, DOI 10.1016/j.progress.2012.01.001
   Dibble J., 2017, ENVIRON PLANN B
   Dugord PA, 2014, COMPUT ENVIRON URBAN, V48, P86, DOI 10.1016/j.compenvurbsys.2014.07.005
   Durand CP, 2011, OBES REV, V12, pe173, DOI 10.1111/j.1467-789X.2010.00826.x
   Fang CL, 2015, APPL ENERG, V158, P519, DOI 10.1016/j.apenergy.2015.08.095
   Farber S, 2013, J TRANSP GEOGR, V31, P267, DOI 10.1016/j.jtrangeo.2013.03.002
   Feliciotti A, 2016, OPEN HOUSE INT, V41, P23
   Fluchter W., 2003, LIVERPOOL U PRESS, V74, P213, DOI [DOI 10.3828/TPR.74.2.4, DOI 10.3828/tpr.74.2.4]
   Friedmann J, 2010, PLAN THEORY PRACT, V11, P149, DOI 10.1080/14649351003759573
   Gauk M, 2016, ENERG BUILDINGS, V128, P540, DOI 10.1016/j.enbuild.2016.07.003
   Guite HF, 2006, PUBLIC HEALTH, V120, P1117, DOI 10.1016/j.puhe.2006.10.005
   Haberman D, 2014, ISPRS INT J GEO-INF, V3, P1101, DOI 10.3390/ijgi3031101
   Hachem C, 2016, APPL ENERG, V177, P422, DOI 10.1016/j.apenergy.2016.05.117
   Hachem C, 2012, ENERG BUILDINGS, V49, P335, DOI 10.1016/j.enbuild.2012.02.021
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Holden E., 2004, J HOUS BUILT ENVIRON, V19, P91, DOI [10.1023/B:JOHO.0000017708.98013.cb, DOI 10.1023/B:JOHO.0000017708.98013.CB]
   HONJO T, 1991, ENERG BUILDINGS, V15, P443
   Hubbart JA, 2014, ENERGIES, V7, P1770, DOI 10.3390/en7031770
   Hui SCM, 2001, RENEW ENERG, V24, P627, DOI 10.1016/S0960-1481(01)00049-0
   Hunter MCR, 2012, LANDSCAPE URBAN PLAN, V105, P407, DOI 10.1016/j.landurbplan.2012.01.013
   Irajifar L, 2016, INT J DISASTER RESIL, V7, P259, DOI 10.1108/IJDRBE-10-2014-0074
   Ishikawa M., 2002, Annals of Geophysics, V45
   Jackson LE, 2003, LANDSCAPE URBAN PLAN, V64, P191, DOI 10.1016/S0169-2046(02)00230-X
   Jacobs Jane, 1961, DEATH LIFE GREAT AM
   Koike T, 2010, J EARTHQ TSUNAMI, V4, P33, DOI 10.1142/S1793431110000674
   Kropf K, 2014, URBAN MORPHOL, V18, P41
   Kropf K, 2009, URBAN MORPHOL, V13, P105
   Kropf Karl., 1996, URBAN DES INT, V1, P247, DOI [10.1057/udi.1996.32, DOI 10.1057/UDI.1996.32]
   LEHMANN D, 2016, FUTURE CITIES ENV, V2, DOI DOI 10.1212/NXG.0000000000000113
   León J, 2016, ENVIRON PLANN B, V43, P826, DOI 10.1177/0265813515597229
   León J, 2014, HABITAT INT, V43, P250, DOI 10.1016/j.habitatint.2014.04.006
   Liu LX, 2014, HABITAT INT, V41, P290, DOI 10.1016/j.habitatint.2013.09.001
   LIU Z, 2016, URBAN GEOGR, P1, DOI DOI 10.1007/978-3-662-52864-8
   Long Y, 2019, ENVIRON PLAN B-URBAN, V46, P406, DOI 10.1177/2399808317715640
   Lowe M, 2014, HEALTH PROMOT J AUST, V25, P14, DOI 10.1071/HE13072
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Lynch K., 1960, IMAGE CITY
   Lynch K., 1981, Theory of good city form
   Ma CY, 2017, AM J CHINESE MED, V45, P933, DOI [10.1142/S0192415X17500501, 10.1142/s0192415x17500501]
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Marshall S., 2011, Urban Coding and Planning
   McClintock N, 2016, LANDSCAPE URBAN PLAN, V148, P1, DOI 10.1016/j.landurbplan.2015.12.008
   Mehaffy M, 2010, URBAN DES INT, V15, P22, DOI 10.1057/udi.2009.26
   Minnery J, 2009, PLAN PRACT RES, V24, P471, DOI 10.1080/02697450903327170
   Monteiro MV, 2016, URBAN FOR URBAN GREE, V16, P160, DOI 10.1016/j.ufug.2016.02.008
   Mörtberg U, 2017, ENERG POLICY, V100, P338, DOI 10.1016/j.enpol.2016.09.031
   Nielsen TAS, 2015, RES TRANSP ECON, V51, P10, DOI 10.1016/j.retrec.2015.07.003
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Oakes J Michael, 2007, Epidemiol Perspect Innov, V4, P16, DOI 10.1186/1742-5573-4-16
   Okeil A, 2010, ENERG BUILDINGS, V42, P1437, DOI 10.1016/j.enbuild.2010.03.013
   Paquet C, 2013, LANDSCAPE URBAN PLAN, V118, P70, DOI 10.1016/j.landurbplan.2012.11.011
   Perry C., 1929, Regional Plan for New York and Its Environs VIII, Neighborhood and Community Planning, Monograph 1
   Radywyl N, 2013, J CLEAN PROD, V50, P159, DOI 10.1016/j.jclepro.2012.12.020
   Rauland V, 2011, 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), P3073
   Russell SE, 2011, APPL GEOGR, V31, P1197, DOI 10.1016/j.apgeog.2011.01.010
   Sadowy K, 2016, SUSTAINABLE CITY FLE
   Salat S., 2012, Urban Complexity, Efficiency and Resilience, Urban Morphology Lab
   Salat S, 2017, INT J URBAN SUSTAIN, V9, P107, DOI 10.1080/19463138.2016.1277227
   Salat S, 2012, TEMA, V5, P55, DOI 10.6092/1970-9870/918
   Salat S, 2013, SUSTAINABLE BUILDING AND REFURBISHMENT FOR NEXT GENERATIONS, P15
   Salat S, 2010, CESB 10: CENTRAL EUROPE TOWARDS SUSTAINABLE BUILDING - FROM THEORY TO PRACTICE, P509
   Schlee MB, 2012, SUSTAINABILITY-BASEL, V4, P2054, DOI 10.3390/su4092054
   Seelig S, 2011, CITIES, V28, P545, DOI 10.1016/j.cities.2011.06.001
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2018, LECT N ENERG, V65, P167, DOI 10.1007/978-3-319-75798-8_9
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Sharifi A, 2016, SUSTAIN CITIES SOC, V20, P1, DOI 10.1016/j.scs.2015.09.002
   Shashua-Bar L, 2000, ENERG BUILDINGS, V31, P221, DOI 10.1016/S0378-7788(99)00018-3
   Shrestha SR, 2018, APPL GEOGR, V93, P81, DOI 10.1016/j.apgeog.2018.02.016
   Siksna A., 1997, URBAN MORPHOL, V1, P19, DOI [https://doi.org/10.51347/jum.v1i1.4048, DOI 10.51347/JUM.V1I1.4048]
   Silva M, 2017, J PLAN LIT, V32, P346, DOI 10.1177/0885412217706900
   Stangl P, 2018, LECT N ENERG, V65, P181, DOI 10.1007/978-3-319-75798-8_10
   Stanley BW, 2012, URBAN GEOGR, V33, P1089, DOI 10.2747/0272-3638.33.8.1089
   Stead D., 2001, EJTIR, V1, P113, DOI [https://doi.org/10.18757/EJTIR.2001.1.2.3497, DOI 10.18757/EJTIR.2001.1.2.3497]
   Talen E, 1999, URBAN STUD, V36, P1361, DOI 10.1080/0042098993033
   Talen E., 2018, Journal of Urbanism: International Research on Placemaking and Urban Sustainability, V11, P480, DOI DOI 10.1080/17549175.2018.1484794
   Talen E, 2013, J URBAN DES, V18, P175, DOI 10.1080/13574809.2013.772883
   Trowbridge MJ, 2009, AM J PREV MED, V37, P428, DOI 10.1016/j.amepre.2009.06.016
   Tsai YH, 2005, URBAN STUD, V42, P141, DOI 10.1080/0042098042000309748
   Tuura L., 2014, JUXTAPOSITIONS DENSI
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   United Nations, 2015, World Urbanization Prospects: The 2014 Revision, DOI DOI 10.4054/DEMRES.2005.12.9
   USGBC, 2018, LEED V4 NEIGHB DEV
   Vartholomaios A, 2017, SUSTAIN CITIES SOC, V28, P135, DOI 10.1016/j.scs.2016.09.006
   Venerandi A, 2018, EPJ DATA SCI, V7, DOI 10.1140/epjds/s13688-018-0132-1
   Venerandi A, 2017, ENVIRON PLAN B-URBAN, V44, P1056, DOI 10.1177/0265813516658031
   Villagra P, 2016, REV GEOGR NORTE GD, P63, DOI 10.4067/S0718-34022016000200006
   Villagra P, 2014, APPL GEOGR, V48, P64, DOI 10.1016/j.apgeog.2014.01.010
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wheeler S.M., 2004, PLANNING SUSTAINABIL
   WHITEHAND JWR, 1984, T I BRIT GEOGR, V9, P231, DOI 10.2307/622170
   Whitehand JWR, 2001, URBAN MORPHOL, V5, P103
   WHITEHAND JWR, 1992, URBAN STUD, V29, P619, DOI 10.1080/00420989220080591
   Wilson B, 2013, SUSTAINABILITY-BASEL, V5, P3302, DOI 10.3390/su5083302
NR 127
TC 133
Z9 141
U1 42
U2 250
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 OCT
PY 2019
VL 93
BP 238
EP 252
DI 10.1016/j.cities.2019.05.010
PG 15
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA JA9AR
UT WOS:000488142900021
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Ye, Z
   Li, J
   Chen, J
AF Ye, Zhou
   Li, Jing
   Chen, Ji
TI The promotion mechanism of financial agglomeration and human capital on
   urban economic resilience: Based on the moderating effect of industrial
   structure
SO INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
LA English
DT Article
DE Financial agglomeration; Human capital; Economic resilience;
   Technological innovation
AB The investigation utilizes panel data spanning from 2003 to 2022, encompassing 31 provinces, autonomous regions, and municipalities in China, to examine the effects of financial agglomeration and human capital on economic resilience at the provincial and municipal levels, while factoring in the regulatory effect of industrial composition. The findings reveal a substantial positive association between financial agglomeration and urban economic resilience; human capital exerts a markedly positive influence on urban economic resilience; technological innovation acts as an intermediary in the impact of human capital on economic resilience; industrial composition regulates the connection between the extent of financial agglomeration and economic resilience; and there exists regional variation in the influence of financial agglomeration and human capital on urban economic resilience. This study not only offers a fresh viewpoint on comprehending the internal mechanisms driving provincial and municipal economies but also delineates concrete strategies for policymakers to bolster provincial and municipal economic resilience by enhancing financial agglomeration and elevating human capital quality, thus more effectively countering diverse economic risks.
C1 [Ye, Zhou] Zhejiang Univ Finance & Econ, Wenhua Sch, Hangzhou 310018, Zhejiang, Peoples R China.
   [Li, Jing] Zhejiang Univ Finance & Econ, Lab Ctr Econ & Management, Hangzhou 310018, Zhejiang, Peoples R China.
   [Chen, Ji] Pan China Certified Publ Accountants, IT Audit Headquarters, Hangzhou 310020, Zhejiang, Peoples R China.
C3 Zhejiang University of Finance & Economics; Zhejiang University of
   Finance & Economics
RP Li, J (corresponding author), Zhejiang Univ Finance & Econ, Lab Ctr Econ & Management, Hangzhou 310018, Zhejiang, Peoples R China.
EM yezhou@zufe.edu.cn; cancricatlj@163.com; cj@pccpa.cn
CR Brada JC, 2021, INT REV FINANC ANAL, V74, DOI 10.1016/j.irfa.2021.101658
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   Feng Y, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104273
   Guo BN, 2024, INT REV FINANC ANAL, V92, DOI 10.1016/j.irfa.2024.103085
   Hu J, 2023, ENVIRON SCI POLLUT R, V30, P32926, DOI 10.1007/s11356-022-24514-3
   Jiang J, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610407
   Josef C. B., 2021, International Review of Financial Analysis, V74
   Li RM, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104498
   Liu LN, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134400
   Liu SW, 2024, INT REV ECON FINANC, V94, DOI 10.1016/j.iref.2024.103429
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Ma F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072593
   Tongurai J, 2018, INT REV FINANC ANAL, V56, P193, DOI 10.1016/j.irfa.2018.01.002
   Wang JC, 2024, INT REV ECON FINANC, V91, P526, DOI 10.1016/j.iref.2024.01.030
   Wang XW, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020809
   Wang ZX, 2021, REG STUD, V55, P1228, DOI 10.1080/00343404.2021.1872779
   Wellalage NH, 2022, FINANC RES LETT, V47, DOI 10.1016/j.frl.2021.102568
   Xia CH, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104223
   Yan Y, 2023, INT REV ECON FINANC, V86, P731, DOI 10.1016/j.iref.2023.03.022
   Zhang MD, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0260214
   Zhou Q, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104983
   Zhu ZM, 2023, FRONT APPL MATH STAT, V8, DOI 10.3389/fams.2022.1085563
NR 22
TC 2
Z9 2
U1 34
U2 34
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 JAN
PY 2025
VL 97
AR 103764
DI 10.1016/j.iref.2024.103764
EA DEC 2024
PG 11
WC Business, Finance; Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA P5B2G
UT WOS:001378051900001
OA hybrid
DA 2025-04-22
ER

PT J
AU Marcus, L
   Colding, J
AF Marcus, Lars
   Colding, Johan
TI Toward an integrated theory of spatial morphology and resilient urban
   systems
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptive renewal cycle; resilience theory; space syntax; spatial
   morphology; urban design
ID ECOLOGY; DIVERSITY
AB We take the first step in the development of a new field of research with the aim of merging spatial morphology and resilience science. This involves a revisiting and reunderstanding of the meaning of sustainable urban form. We briefly describe the fields of resilience science and spatial morphology. Drawing on a selected set of propositions in both fields, we put urban form in the context of the adaptive renewal cycle, a dynamic framework model used in resilience science to capture the dynamics of complex adaptive systems, of which urban systems are prime examples. We discuss the insights generated in this endeavor, dealing with some key morphological aspects in relation to four key attributes of resilience, i.e., "change," "diversity," "self-organization," and "learning." We discuss and relate these to urban form and other social variables, with special attention paid to the " backloop phase" of the adaptive renewal cycle. We conclude by postulating ways in which resilience thinking could contribute to the development of a new research frontier for addressing designs for resilient urban social-ecological systems, and end by proposing three strategic areas of research in such a field.
C1 [Marcus, Lars] Royal Inst Technol, Sch Architecture, Stockholm, Sweden.
   [Colding, Johan] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, Stockholm, Sweden.
C3 Royal Institute of Technology; Royal Swedish Academy of Sciences; Beijer
   Institute of Ecological Economics
RP Marcus, L (corresponding author), Royal Inst Technol, Sch Architecture, Stockholm, Sweden.
RI Colding, Johan/AAB-7047-2019
OI Colding, Johan/0000-0001-7644-7448
FU Swedish Research Council for Environment, Agricultural Sciences and
   Spatial Planning (FORMAS); Mistra (the Foundation for Strategic
   Environmental Research)
FX This research is part of the Urban Form-project. Johan Colding's and
   Lars Marcus's research has been funded through support and grants
   received from the Swedish Research Council for Environment, Agricultural
   Sciences and Spatial Planning (FORMAS). Thanks also to Mistra (the
   Foundation for Strategic Environmental Research) for support to the
   Stockholm Resilience Centre.
CR Abercrombie N., 1992, PENGUIN DICT BIOL
   Alberti Marina., 2008, ADV URBAN ECOLOGY IN, DOI [DOI 10.1007/978-0-387-75510-6, 10.1007/978-0-387-75510-6]
   Alexander Christopher., 1964, Notes on the Synthesis of Form
   [Anonymous], 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   [Anonymous], 1995, REGIONS RISK
   Barthel S., 2013, Principles of Social-Ecological Urbanism
   Batty M, 2013, NEW SCIENCE OF CITIES, P1
   Batty M., 2005, Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Berkes F., 1998, LINKING SOCIAL ECOLO
   Bernow R., 2011, VARDERING STADSKVALI
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Clements FE, 1936, J ECOL, V24, P252, DOI 10.2307/2256278
   Colding J., 2003, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Colding J., 2001, THESIS STOCKHOLM U S
   Colding J., 2003, NAVIGATING SOCIAL EC, P163, DOI [10.1017/CBO9780511541957.011, DOI 10.1017/CBO9780511541957.011]
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   CONNELL JH, 1978, SCIENCE, V199, P1302, DOI 10.1126/science.199.4335.1302
   Cross N, 2007, BOARD INT RES DES, P1, DOI 10.1007/978-3-7643-8485-2
   Crutzen PJ, 2002, NATURE, V415, P23, DOI 10.1038/415023a
   Cumming GS, 2011, LANDSCAPE ECOL, V26, P899, DOI 10.1007/s10980-011-9623-1
   Desyllas J., 2000, THESIS U COLL LONDON
   Enflo K., 2007, J EVOLUTIONARY EC, V18, P57
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Finlayson A.C., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanism for Building Resilience, P311
   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]
   Freilich R., 1999, SPRAWL SMART GROWTH
   Fuller Buckminster., 1969, Operating Manual for Spaceship Earth
   Greene M., 2012, P 7 INT SPAC SYNT S
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Gunderson Lance H., 1995, BARRIERS BRIDGES REN
   Hale JD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033300
   Harvey David., 1990, The Condition of Postmodernity: An Enquiry into the Origins of Cultural Change
   HILLIER B, 1993, ENVIRON PLANN B, V20, P29, DOI 10.1068/b200029
   Hillier B, 2005, LECT NOTES COMPUT SC, V3693, P475
   Hillier B., 1984, The Social Logic of Space
   Hillier B., 1996, SPACE IS MACHINE
   Hillier B., 2009, P 7 INT SPAC SYNT S, P16
   Hillier Bill., 2007, Progressin Planning, V67, P205
   Holling C., 1996, Rights to Nature, P57
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   HOLLING CS, 1971, J AM I PLANNERS, V37, P221, DOI 10.1080/01944367108977962
   Koch D., 2009, P 7 INT SPAC SYNT S, V2009:1
   KRUGMAN P, 1991, J POLIT ECON, V99, P483, DOI 10.1086/261763
   Kwan Mei-Po., 2003, J GEOGR SYST, V5, P129, DOI DOI 10.1007/S101090300107
   Lawson B., 2006, How Designers Think
   Levin S, 1999, Fragile Dominion: Complexity and the Commons
   Longley P.A., 2011, Geographic information systems and science, V3rd
   Lowe B., 2003, Navagating Social-Ecological Systems: Building Resilience for Complexity and Change, P83, DOI DOI 10.1017/CBO9780511541957.007
   Marcus L., 2010, The Journal of Space Syntax, V1
   Marcus L., 2000, 20002 TRITAARK ROYAL
   Marcus L., 2013, P 9 INT SPAC SYNT S
   Marcus L., 2001, P 3 INT SPAC SYNT S, P381
   Massey D. B., 2005, For Space
   Munn R. E., 1986, Sustainable Development of the Biosphere, P292
   Netzell O., 2010, 20104 TRITAFOB ROYAL, V2010:4
   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 P., 2009, Resilient cities: responding to peak oil and climate change
   Nyström M, 2001, ECOSYSTEMS, V4, P406, DOI 10.1007/s10021-001-0019-y
   Nyström M, 2000, TRENDS ECOL EVOL, V15, P413, DOI 10.1016/S0169-5347(00)01948-0
   Ostrom E., 1990, Governing the Commons: The Evolution of Institutions for Collective Action
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Regier H.A., 1986, Sustainable Development of the Biosphere, P75
   Schon DA, 1983, REFLECTIVE PRACTITIO
   Schon L., 2014, En modern svensk ekonomisk historia: Tillvaxt och omvandling under tva sekel
   Schumpeter J.A., 1975, CAPITALISM SOCIALISM
   Scoppa M., 2012, THESIS SCH ARCHITECT
   Simon HA., 1969, The Science of Artificial
   Stahle A., 2005, P 5 INT SPAC SYNT S, P131
   Talen E., 2003, J URBAN DES, V8, P195, DOI DOI 10.1080/1357480032000155141
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   von Thunen J.H., 1826, ISOLIERTE STAAT BEZI
   WALKER BH, 1993, AMBIO, V22, P80
   Wallman S., 1982, LIVING S LONDON PERS
   Wallman S., 1985, TOWN COUNTRY PLANN, V54, P12
   Wallman S., 2003, 76 FEEM
   Wallman Sandra., 1984, 8 LONDON HOUSEHOLDS
   Webster C, 2002, ENVIRON PLANN B, V29, P397, DOI 10.1068/b2755r
   Wilson A. G., 2014, Complex spatial system
   Zanoni Patrizia., 2009, Sustainable Cities: Diversity, Economic Growth and Social Cohesion, P3
NR 84
TC 81
Z9 90
U1 12
U2 149
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 2014
VL 19
IS 4
AR 55
DI 10.5751/ES-06939-190455
PG 13
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AY2TA
UT WOS:000347440700032
OA Green Published, Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Shankar, M
   Ng, M
   Rogers, M
   Cook, EM
   Herrmann, DL
   Schwarz, K
AF Shankar, Monika
   Ng, Melody
   Rogers, Morgan
   Cook, Elizabeth M.
   Herrmann, Dustin L.
   Schwarz, Kirsten
TI Unearthing the role of soils in urban climate resilience planning
SO NATURE SUSTAINABILITY
LA English
DT Article
ID IMPACTS
AB Urban soils are often overlooked in climate resilience planning and policy. We advocate for a broader framing of urban soils within an equity-centred social ecological framework that acknowledges the role of soils as essential infrastructure and enhances investment to maximize their benefits towards resilient urban futures.
C1 [Shankar, Monika; Schwarz, Kirsten] Univ Calif Los Angeles, Fielding Sch Publ Hlth, Dept Environm Hlth Sci, Los Angeles, CA 90032 USA.
   [Ng, Melody; Rogers, Morgan; Schwarz, Kirsten] Univ Calif Los Angeles, Luskin Sch Publ Affairs, Dept Urban Planning, Los Angeles, CA 90024 USA.
   [Cook, Elizabeth M.] Barnard Coll, Environm Sci Dept, New York, NY USA.
   [Herrmann, Dustin L.] TreePeople, Beverly Hills, CA USA.
C3 University of California System; University of California Los Angeles;
   University of California System; University of California Los Angeles;
   Barnard College
RP Schwarz, K (corresponding author), Univ Calif Los Angeles, Fielding Sch Publ Hlth, Dept Environm Hlth Sci, Los Angeles, CA 90032 USA.; Schwarz, K (corresponding author), Univ Calif Los Angeles, Luskin Sch Publ Affairs, Dept Urban Planning, Los Angeles, CA 90024 USA.
EM kschwarz@luskin.ucla.edu
RI Herrmann, Dustin/LFS-2349-2024
OI Shankar, Monika/0009-0000-7356-2408; Ng, Melody/0009-0005-4111-3364
FU Accelerate Resilience L.A. (ARLA); Rockefeller Philanthropy Advisors;
   National Science Foundation; NSF [1934933, 1927167]
FX We extend gratitude to S. Chin for comments on an earlier draft. Funding
   was provided to D.L.H. by a grant from Accelerate Resilience L.A.
   (ARLA), a sponsored project of Rockefeller Philanthropy Advisors.
   Support for K.S. was provided by the National Science Foundation. E.M.C.
   acknowledges support by NSF grants 1934933 and 1927167. M.S., M.N. and
   M.R. received no financial support.
CR Andersson E, 2022, CURR OPIN ENV SUST, V55, DOI 10.1016/j.cosust.2022.101158
   Campbell LK, 2022, URBAN GEOGR, V43, P713, DOI 10.1080/02723638.2021.1920129
   Carse A., 2016, Infrastructures and Social Complexity, P45
   Herrmann DL, 2017, PLANT SOIL, V413, P45, DOI 10.1007/s11104-016-2874-5
   Hobbie SE, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0124
   Kumar M, 2017, J HAZARD TOXIC RADIO, V21, DOI 10.1061/(ASCE)HZ.2153-5515.0000351
   Lal R, 2021, GEODERMA REG, V25, DOI 10.1016/j.geodrs.2021.e00398
   Liboiron M., 2017, Catalyst: Feminism, Theory, Technoscience, V3, P1, DOI DOI 10.28968/CFTT.V3I2.28850
   Markolf Sam, 2020, Pledges and progress: Steps toward greenhouse gas emissions reductions in the 100 largest cities across the United States
   Mielke HW, 2011, ENVIRON INT, V37, P248, DOI 10.1016/j.envint.2010.08.006
   O'Riordan R, 2021, GEODERMA, V395, DOI 10.1016/j.geoderma.2021.115076
   O'Shea MJ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18179055
   Pavao-Zuckerman MA, 2008, RESTOR ECOL, V16, P642, DOI 10.1111/j.1526-100X.2008.00486.x
   Schwarz K, 2022, FRONT ECOL EVOL, V09, DOI 10.3389/fevo.2021.781587
   Shattuck A., 2017, HLTH SOILS HLTH COMM
NR 15
TC 0
Z9 0
U1 15
U2 15
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2398-9629
J9 NAT SUSTAIN
JI Nat. Sustain.
PD NOV
PY 2024
VL 7
IS 11
BP 1374
EP 1376
DI 10.1038/s41893-024-01436-1
EA OCT 2024
PG 3
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 M9A6V
UT WOS:001344725000001
DA 2025-04-22
ER

PT J
AU Cariolet, JM
   Colombert, M
   Vuillet, M
   Diab, Y
AF Cariolet, Jean-Marie
   Colombert, Morgane
   Vuillet, Marc
   Diab, Youssef
TI Assessing the resilience of urban areas to traffic-related air
   pollution: Application in Greater Paris
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Outdoor air quality; Resilience; Built environment; Urban design; GIS;
   Spatial tool
ID POLYCYCLIC AROMATIC-HYDROCARBONS; MORTALITY; EXPOSURE
AB Recent studies report that outdoor air pollution will become the main environmental cause of premature death over the next few decades (OECD, 2012; WHO, 2014; World Bank, 2016). Cities are considered hot spots and urban populations are particularly exposed. There is therefore an urgent need to adapt urban systems and urban design to tackle this issue. While most European cities have introduced measures to reduce emissions, action is still required to reduce concentrations and exposure, and a holistic approach to urban design is badly needed.
   The concept of urban resilience, defined by Holling (1987) as the ability of a city to absorb a disturbance while maintaining its functions and structures, may offer a new paradigm for tackling urban air pollution.
   We propose to adapt the concept of urban resilience to outdoor air pollution. A method has been developed to assess the resilience of an urban area to outdoor air pollution. Three "resilience capacities" have been identified: the capacity of an urban area to decrease air pollution emissions, the capacity to decrease concentrations and the capacity to decrease exposure. The calculation is based on the analysis of urban design, defined as the pattern of buildings as well as the structural elements that define an urban area (urban morphology; transport network, services and land use). For each resilience capacity, indicators are calculated using a Geographic Information System (GIS) and a grid-based approach.
   This method has been implemented in the Greater Paris are a within a 500 m grid-cell system. Greater Paris is one of the densest urban areas in Europe and experiences high air pollution levels. The proposed "quick scan" method helps to localize areas where specific action is needed. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Cariolet, Jean-Marie; Colombert, Morgane; Vuillet, Marc; Diab, Youssef] EIVP, LabUrba EA3482, Paris, France.
C3 Universite Paris-Est-Creteil-Val-de-Marne (UPEC); Universite
   Gustave-Eiffel
RP Cariolet, JM (corresponding author), EIVP, LabUrba EA3482, Paris, France.
EM jean-marie.cariolet@eivp-paris.fr
OI cariolet, Jean-Marie/0009-0003-4148-0522
FU JOAQUIN project through the European Interreg IVB program [247H]
FX This research has been funded by the JOAQUIN project through the
   European Interreg IVB program (247H). We would like to thank the IAU
   (Institut d'Amenagement et d'Urbanisme de la region Ile-de-France) IGN
   and Airparif for sharing their data. We are grateful to the reviewers
   for their constructive remarks and suggestions for improvement. We thank
   Neil O'Brien for reviewing and improving the English language of our
   article.
CR Al Mamun MS, 2011, J PUBLIC TRANSPORT, V14, P69, DOI 10.5038/2375-0901.14.2.4
   [Anonymous], PURE APPL GEOPHYS
   [Anonymous], POLLUTION ATMOSPHERI
   [Anonymous], ICUC8 8 INT C URB CL
   [Anonymous], 2005, URBAN FLOOD MANAGEME
   [Anonymous], LAND USE AIR QUALITY
   [Anonymous], RISQUE SANITAIRE MIL
   [Anonymous], 2012, Environmental Outlook to 2050: The Consequences of Inaction, DOI [10.1787/9789264122246-en, DOI 10.1787/9789264111318-EN]
   [Anonymous], POLLUTION ATMOSPHERI
   [Anonymous], WATER AIR SOIL POLLU
   [Anonymous], Burden of Disease from the Joint Effects of Household and Ambient Air Pollution for 2012
   [Anonymous], 2016, INVENTAIRE REGIONAL
   Bottema M, 1998, J WIND ENG IND AEROD, V74-6, P163, DOI 10.1016/S0167-6105(98)00014-2
   Bottema M, 1997, ATMOS ENVIRON, V31, P3059, DOI 10.1016/S1352-2310(97)00117-9
   Brunekreef B, 1997, EPIDEMIOLOGY, V8, P298, DOI 10.1097/00001648-199705000-00012
   Brunekreef Bert, 2009, Res Rep Health Eff Inst, P5
   Clifton KJ, 2007, LANDSCAPE URBAN PLAN, V80, P95, DOI 10.1016/j.landurbplan.2006.06.008
   Duha JD, 2008, SCI TOTAL ENVIRON, V400, P238, DOI 10.1016/j.scitotenv.2008.05.002
   Dulal HB, 2011, HABITAT INT, V35, P494, DOI 10.1016/j.habitatint.2011.02.001
   Finkelstein MM, 2004, AM J EPIDEMIOL, V160, P173, DOI 10.1093/aje/kwh181
   Gál T, 2009, BUILD ENVIRON, V44, P198, DOI 10.1016/j.buildenv.2008.02.008
   Gehring U, 2006, EPIDEMIOLOGY, V17, P545, DOI 10.1097/01.ede.0000224541.38258.87
   Grimmond CSB, 1999, J APPL METEOROL, V38, P1262, DOI 10.1175/1520-0450(1999)038<1262:APOUAD>2.0.CO;2
   Hoek G, 2002, LANCET, V360, P1203, DOI 10.1016/S0140-6736(02)11280-3
   HOLLING CS, 1987, EUR J OPER RES, V30, P139, DOI 10.1016/0377-2217(87)90091-9
   Host S, 2012, REV EPIDEMIOL SANTE, V60, P321, DOI 10.1016/j.respe.2012.02.007
   Jung KH, 2011, ATMOSPHERE-BASEL, V2, P96, DOI 10.3390/atmos2020096
   Kenworthy J., 2014, WORLD TRANSP POLICY, V20, P41
   Khreis H, 2016, J TRANSP HEALTH, V3, P249, DOI 10.1016/j.jth.2016.07.002
   Marshall JD, 2009, ENVIRON HEALTH PERSP, V117, P1752, DOI 10.1289/ehp.0900595
   Martins H, 2012, ATMOS ENVIRON, V54, P60, DOI 10.1016/j.atmosenv.2012.02.075
   Ren C, 2012, INT J APPL EARTH OBS, V18, P207, DOI 10.1016/j.jag.2012.01.026
   Schindler M, 2014, COMPUT ENVIRON URBAN, V45, P13, DOI 10.1016/j.compenvurbsys.2014.01.004
   Su JG, 2015, ENVIRON INT, V78, P82, DOI 10.1016/j.envint.2014.12.007
   Sundquist K, 2011, SOC SCI MED, V72, P1266, DOI 10.1016/j.socscimed.2011.03.004
   Tao S, 2007, ATMOS ENVIRON, V41, P9594, DOI 10.1016/j.atmosenv.2007.08.026
   Van Dyck D, 2012, SOC SCI MED, V74, P1375, DOI 10.1016/j.socscimed.2012.01.018
   Winters M, 2013, ENVIRON PLANN B, V40, P865, DOI 10.1068/b38185
   Wong MS, 2010, BUILD ENVIRON, V45, P1880, DOI 10.1016/j.buildenv.2010.02.019
   World Bank, 2016, The cost of air pollution: strengthening the economic case for action
   Zaki SA, 2014, J ENG SCI TECHNOL, V9, P176
NR 41
TC 52
Z9 60
U1 7
U2 205
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 FEB 15
PY 2018
VL 615
BP 588
EP 596
DI 10.1016/j.scitotenv.2017.09.334
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FM3QQ
UT WOS:000414922600064
PM 28988095
DA 2025-04-22
ER

PT J
AU Sharma, M
   Sharma, B
   Kumar, N
   Kumar, A
AF Sharma, Manish
   Sharma, Bansari
   Kumar, Nand
   Kumar, Ashwani
TI Measuring urban water resilience at household level: A comparative study
   through a framework for developing countries
SO URBAN WATER JOURNAL
LA English
DT Article
DE Urban; water; resilience; index; framework; assessment
ID PRINCIPLES; DECISION
AB With unregulated urbanization and skewed financial resources, cities of developing countries like India are struggling with urban services provisions like water services. An index, Household Urban Water Resilience Index (HUWRI) has been proposed, comprising resilience characteristics and abilities to assess the inherent water resilience of the households and identify the weak and strong links. A total of six case areas in the study area of Jaipur, India are assessed with different development profiles including slum area (HUWRI scale score 32.7), a recently notified area (HUWRI scale score 37.64), an area that witnessed a rapid transformation from low density to high-density development (HUWRI scale score 45.04), an old area with small-sized plots (HUWRI scale score 38.17), an area traditionally developed with medium and large plots (HUWRI scale score 46.05) and an upscale area (HUWRI scale score 44.28). Measures are suggested to strengthen the urban water resilience for households based on the assessment of the resilience profile.
C1 [Sharma, Manish] Manipal Univ, Sch Architecture & Design, Jaipur, Rajasthan, India.
   [Sharma, Bansari; Kumar, Nand; Kumar, Ashwani] Malaviya Natl Inst Technol, Dept Architecture & Planning, Jaipur, Rajasthan, India.
C3 Manipal University Jaipur; National Institute of Technology (NIT
   System); Malaviya National Institute of Technology Jaipur
RP Kumar, A (corresponding author), Malaviya Natl Inst Technol, Dept Architecture & Planning, Jaipur, Rajasthan, India.
EM ashwani.patiyal@gmail.com
RI Kumar, Ashwani/R-3565-2016
OI Kumar, Ashwani/0000-0002-1387-4503
CR Alshehri SA, 2015, NAT HAZARDS, V75, P2221, DOI 10.1007/s11069-014-1423-x
   Census Department of India, 2011, CENSUS INDIA
   Cutter SL, 2016, GEOGR J, V182, P110, DOI 10.1111/geoj.12174
   Franek J, 2014, PROC ECON FINANC, V12, P164, DOI 10.1016/S2212-5671(14)00332-3
   Goepel K D., 2018, AHP excel template with multiple inputs
   Jawaid MF, 2017, CITIES, V68, P63, DOI 10.1016/j.cities.2017.05.006
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   Kumar S., 2009, Business Intelligence Journal, V2, P355
   Marchese D, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001130
   Mayunga J.S., 2009, MEASURING MEASURE MU
   Meteorological Centre, 2011, CLIM JAIP
   National Institute for Japanese Language and Linguistics, 2009, SHIN KYOIK KIH GOI
   Vicente LGP, 2019, WORKS C NETW P SYST, DOI 10.1109/wcnps.2019.8896250
   Puente S, 1999, CRUCIBLES OF HAZARD: MEGA-CITIES AND DISASTERS IN TRANSITION, P295
   Saaty TL, 2012, SOC CHOICE WELFARE, V38, P481, DOI 10.1007/s00355-011-0541-6
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   WEDLEY WC, 1990, SOCIO ECON PLAN SCI, V24, P57, DOI 10.1016/0038-0121(90)90028-6
   World Health Organization, 2021, TRAIN PAR TRANSF CHI
   Zongcai Jiang, 2013, Journal of Convergence Information Technology, V8, P845, DOI 10.4156/jcit.vol8.issue3.100
NR 21
TC 3
Z9 3
U1 1
U2 11
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 1492
EP 1505
DI 10.1080/1573062X.2022.2075767
EA MAY 2022
PG 14
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA DA2G4
UT WOS:000801179200001
DA 2025-04-22
ER

PT J
AU Liu, H
   Li, XM
   Tian, SZ
   Guan, YY
AF Liu, He
   Li, Xueming
   Tian, Shenzhen
   Guan, Yingying
TI Research on the Evaluation of Resilience and Influencing Factors of the
   Urban Network Structure in the Three Provinces of Northeast China Based
   on Multiple Flows
SO BUILDINGS
LA English
DT Article
DE network structure resilience; multiple flows; influencing factors;
   optimization strategy; three provinces of Northeastern China
ID MEGA-CITY REGION; RIVER DELTA; SEARCH; CITIES
AB An important indicator for measuring the resilience and ability of urban networks to recover under external environmental shock, which is essential for the healthy development of the region, is urban network structure resilience. Herein we analyzed the resilience of the urban network structure and explored the influencing factors of resilience in the three provinces of Northeast China. We accomplished this by utilizing the Gephi profiling social network analysis tools based on the Baidu Index, road mileage, statistical data, other multi-source data, construction information, and the transportation, innovation, and economic multiple linkage network. This analysis enabled us to propose relevant suggestions and strategies to optimize urban network structure resilience. Our results indicate that (1) in 2019, the multi-city network structure in the three provinces of Northeast China contains both commonalities and characteristics. Overall, each network demonstrates a spatial distribution pattern of "dense in the north and sparse in the south." (2) There exist evident hierarchical differences in the resilience characteristics of the multi-city network structure in the three provinces; each provincial capital city and sub-provincial city possesses greater advantages, the innovation network exhibits the most evident hierarchy, the mismatch of the information network is the highest, and the transmission and agglomeration of the economic network are the most prominent. (3) The resilience of the urban network structure of the three provinces is the result of the interaction of several factors. Political and economic factors such as government capacity, economic status, and urban vitality are the main factors affecting the resilience of the network structure.
C1 [Liu, He; Li, Xueming; Tian, Shenzhen; Guan, Yingying] Liaoning Normal Univ, Geog Sci Sch, Dalian 116029, Peoples R China.
   [Liu, He; Li, Xueming; Tian, Shenzhen; Guan, Yingying] Liaoning Normal Univ, Human Settlements Res Ctr, Dalian 116029, Peoples R China.
C3 Liaoning Normal University; Liaoning Normal University
RP Li, XM (corresponding author), Liaoning Normal Univ, Geog Sci Sch, Dalian 116029, Peoples R China.; Li, XM (corresponding author), Liaoning Normal Univ, Human Settlements Res Ctr, Dalian 116029, Peoples R China.
EM liuhe1581@163.com; lixueming@lnnu.edu.cn; tsz999@lnnu.edu.cn;
   gyy9418@126.com
RI Tian, shenzhen/AAB-6008-2022
OI liu, he/0000-0002-2085-3970
FU National Natural Science Foundation of China [41671158]
FX This research was funded by the National Natural Science Foundation of
   China (grant number 41671158).
CR Ai S. W., 2010, HUMAN GEOGRAPHY, V25, P43, DOI DOI 10.13959/J.ISSN.1003-2398.2010.02.001
   BENHABIB J, 1994, J MONETARY ECON, V34, P143, DOI 10.1016/0304-3932(94)90047-7
   Blondel VD, 2008, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2008/10/P10008
   Boccaletti S, 2006, PHYS REP, V424, P175, DOI 10.1016/j.physrep.2005.10.009
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Cao X., 2014, Econ. Geogr., V34, P13, DOI [10.15957/j.cnki.jjdl.2014.04.004, DOI 10.15957/J.CNKI.JJDL.2014.04.004]
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   Dawley S, 2010, LOCAL ECON, V25, P650, DOI 10.1080/02690942.2010.533424
   de Zubielqui GC, 2016, ENTREP RES J, V6, P75, DOI 10.1515/erj-2015-0016
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Guimerá R, 2005, P NATL ACAD SCI USA, V102, P7794, DOI 10.1073/pnas.0407994102
   Heinzlef C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102762
   Hill E., 2008, EXPLORING REGIONAL E
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   [蒋大亮 Jiang Daliang], 2015, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V24, P1654
   Jiao JJ, 2017, J TRANSP GEOGR, V60, P257, DOI 10.1016/j.jtrangeo.2017.03.010
   Lai JB, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000581
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lever KE, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102098
   Li XM, 2017, ECOL INDIC, V74, P403, DOI 10.1016/j.ecolind.2016.11.031
   [李雪铭 Li Xueming], 2019, [地理科学进展, Progress in Geography], V38, P1726
   Liang SB, 2019, CHINESE GEOGR SCI, V29, P112, DOI 10.1007/s11769-019-1018-2
   Lu Peng-li, 2019, Journal of Lanzhou University of Technology, V45, P101
   [吕拉昌 Lyu Lachang], 2015, [地理科学, Scientia Geographica Sinica], V35, P30
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Mei D., 2020, World Regional Studies, V29, P717, DOI [10.3969/j.issn.1004-9479.2020.04.2019284, DOI 10.3969/J.ISSN.1004-9479.2020.04.2019284]
   Onnela JP, 2005, PHYS REV E, V71, DOI 10.1103/PhysRevE.71.065103
   Palekiene O, 2015, PROCD SOC BEHV, V213, P179, DOI 10.1016/j.sbspro.2015.11.423
   Pan FH, 2016, GEOFORUM, V75, P148, DOI 10.1016/j.geoforum.2016.07.013
   Peng C., 2015, ECON GEOGR, V35, P72, DOI 10.15957/j.cnki.jjdl.2015.09.010
   [彭翀 Peng Chong], 2018, [地理研究, Geographical Research], V37, P1193
   Rak J, 2010, IEEE COMMUN LETT, V14, P354, DOI 10.1109/LCOMM.2010.04.091597
   Ruiz-Martin C, 2015, IFAC PAPERSONLINE, V48, P1224, DOI 10.1016/j.ifacol.2015.06.251
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Shi JL, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14138005
   Suire R, 2014, ENTREP REGION DEV, V26, P142, DOI 10.1080/08985626.2013.877985
   Thadakamalla HP, 2004, IEEE INTELL SYST, V19, P24, DOI 10.1109/MIS.2004.49
   Wang B, 2019, CITIES, V84, P121, DOI 10.1016/j.cities.2018.07.013
   Wang J., SCI GEOGR SIN, V40, P675, DOI [10.13249/j.cnki.sgs.2020.05.001, DOI 10.13249/J.CNKI.SGS.2020.05.001]
   Wang S.-B., 2018, Journal of Ambient Intelligence and Humanized Computing, DOI [DOI 10.1007/S12652-018-0956-3, https://doi.org/10.1007/s12652-018-0956-3]
   [王逸舟 Wang Yizhou], 2021, [经济地理, Economic Geography], V41, P68
   Wei SM, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10120796
   [魏石梅 Wei Shimei], 2021, [地理学报, Acta Geographica Sinica], V76, P1394
   [魏冶 Wei Ye], 2020, [地理科学进展, Progress in Geography], V39, P488
   [谢永顺 Xie Yongshun], 2020, [地理科学进展, Progress in Geography], V39, P1619
   Yeh AGO, 2015, URBAN STUD, V52, P2458, DOI 10.1177/0042098014544762
   Zhang YT, 2020, PHYS REV E, V101, DOI 10.1103/PhysRevE.101.022304
   Zhao K, 2011, IEEE SYST J, V5, P28, DOI 10.1109/JSYST.2010.2100192
   Zhao MX, 2017, CITIES, V60, P147, DOI 10.1016/j.cities.2016.08.015
   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]
NR 51
TC 7
Z9 7
U1 13
U2 114
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD JUL
PY 2022
VL 12
IS 7
AR 945
DI 10.3390/buildings12070945
PG 20
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 3J3ST
UT WOS:000833319000001
OA gold
DA 2025-04-22
ER

PT J
AU Fischer, K
   Hiermaier, S
   Riedel, W
   Häring, I
AF Fischer, Kai
   Hiermaier, Stefan
   Riedel, Werner
   Haering, Ivo
TI Morphology Dependent Assessment of Resilience for Urban Areas
SO SUSTAINABILITY
LA English
DT Article
DE resilience quantification; resilience engineering; multiple threat
   assessment; urban form
ID VULNERABILITY; EVENTS
AB The formation of new threats and the increasing complexity of urban built infrastructures underline the need for more robust and sustainable systems, which are able to cope with adverse events. Achieving sustainability requires the strengthening of resilience. Currently, a comprehensive approach for the quantification of resilience of urban infrastructure is missing. Within this paper, a new generalized mathematical framework is presented. A clear definition of terms and their interaction builds the basis of this resilience assessment scheme. Classical risk-based as well as additional components are aligned along the timeline before, during and after disruptive events, to quantify the susceptibility, the vulnerability and the response and recovery behavior of complex systems for multiple threat scenarios. The approach allows the evaluation of complete urban surroundings and enables a quantitative comparison with other development plans or cities. A comprehensive resilience framework should cover at least preparation, prevention, protection, response and recovery. The presented approach determines respective indicators and provides decision support, which enhancement measures are more effective. Hence, the framework quantifies for instance, if it is better to avoid a hazardous event or to tolerate an event with an increased robustness. An application example is given to assess different urban forms, i.e., morphologies, with consideration of multiple adverse events, like terrorist attacks or earthquakes, and multiple buildings. Each urban object includes a certain number of attributes, like the object use, the construction type, the time-dependent number of persons and the value, to derive different performance targets. The assessment results in the identification of weak spots with respect to single resilience indicators. Based on the generalized mathematical formulation and suitable combination of indicators, this approach can quantify the resilience of urban morphologies, independent of possible single threat types and threat locations.
C1 [Fischer, Kai; Hiermaier, Stefan; Riedel, Werner; Haering, Ivo] Ernst Mach Inst, Fraunhofer Inst High Speed Dynam, D-79104 Freiburg, Germany.
   [Hiermaier, Stefan] Univ Freiburg, Inst Sustainable Tech Syst, D-79110 Freiburg, Germany.
C3 Fraunhofer Gesellschaft; Fraunhofer Germany; Fraunhofer High Speed
   Dynamics Ernst-Mach Institut; University of Freiburg
RP Fischer, K (corresponding author), Ernst Mach Inst, Fraunhofer Inst High Speed Dynam, D-79104 Freiburg, Germany.
EM kai.fischer@emi.fraunhofer.de; stefan.hiermaier@inatech.uni-freiburg.de;
   werner.riedel@emi.fraunhofer.de; ivo.haering@emi.fraunhofer.de
RI ; Haring, Ivo/AAN-5953-2020
OI Fischer, Kai/0000-0002-3881-120X; Haring, Ivo/0000-0002-0318-6133
FU European Commission's 7th Framework Programme within the EU project EDEN
   [313077]; European Commission's 7th Framework Programme within the EU
   project VITRUV [261741]
FX The research leading to these results has received funding form the
   European Commission's 7th Framework Programme within the EU project EDEN
   under grant agreement no. 313077 and VITRUV under grant agreement no.
   261741. The contribution of Andreas Bach and Ingo Mullers
   (SchuSSler-Plan Engineering GmbH) for the provision of the list with
   pre-defined construction types including the estimated time scales is
   gratefully acknowledged.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2014, WORLD URB PROSP
   Branscomb LM, 2006, TECHNOL SOC, V28, P225, DOI 10.1016/j.techsoc.2005.10.004
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Büchele B, 2006, NAT HAZARD EARTH SYS, V6, P485
   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
   Cimellaro G.P, 2016, Urban Resilience for Emergency Response and Recovery
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cross JA., 2001, ENV HAZARDS, V3, P63, DOI DOI 10.1016/S1464-2867(01)00020-1
   Curdes G., 2010, P 17 INT SEM URB FOR
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Federal Emergency Management Agency, 2011, FEMA 426 REF MAN MIT
   Federal Emergency Management Agency, HAZUS METH EST POT L
   Fischer K, 2009, ENG STRUCT, V31, P1677, DOI 10.1016/j.engstruct.2009.02.040
   Fischer K., 2018, THESIS
   Fischer K, 2016, INT J PROT STRUCT, V7, P45, DOI 10.1177/2041419615622727
   Fischer K, 2014, BAUTECHNIK, V91, P262, DOI 10.1002/bate.201300041
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Hunter P.R., 2001, ACCEPTABLE RISK WATE
   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
   Krawinkler H, 2004, EARTHQUAKE ENG ENG S, V9, P1
   Kröger W, 2011, VULNERABLE SYSTEMS, P1, DOI 10.1007/978-0-85729-655-9_1
   Lin CH, 2007, TECHNOL FORECAST SOC, V74, P148, DOI 10.1016/j.techfore.2006.02.004
   Müllers I, 2015, STRUCT ENG INT, V25, P319, DOI 10.2749/101686615X14210663188736
   Proske D., 2008, CATALOGUE RISKS NATU
   Quiel SE, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001310
   Schubler Plan Ingenieurgesellschaft mbH, 2013, D4 4 VULN AN GEN STR
   Siebold U., 2009, P 4 SEC RES C KARL G
   Tamvakis P, 2013, PROCD SOC BEHV, V74, P339, DOI 10.1016/j.sbspro.2013.03.030
   The Minerals Metals and Materials Society (TMS), 2012, ENG SOL SUST MAT RES
   Thoma K., 2014, Resilien-Tech-Resilience-by-Design: Strategie fur die Technologischen Zukunftsthemen
   Valente-Pereira L., 2014, URBAN FORM DEFINITIO
NR 34
TC 19
Z9 21
U1 13
U2 63
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2018
VL 10
IS 6
AR 1800
DI 10.3390/su10061800
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 GK9LE
UT WOS:000436570100112
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Chen, Y
   Su, XY
   Zhou, Q
AF Chen, Yu
   Su, Xuyang
   Zhou, Qian
TI Study on the Spatiotemporal Evolution and Influencing Factors of Urban
   Resilience in the Yellow River Basin
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE urban resilience; spatiotemporal differentiation; ESDA; geographical
   detector model; YRB
ID INDICATORS; FRAMEWORK; CITIES; INDEX
AB The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a "V "-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions-upstream, midstream, and downstream-increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot-Baotou-Ordos showed a "High-High " agglomeration, while the southern and southwestern regions showed a "Low-Low " agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.
C1 [Chen, Yu; Su, Xuyang] Zhengzhou Univ Light Ind, Sch Econ & Management, Zhengzhou 450000, Peoples R China.
   [Zhou, Qian] Zhongnan Univ Econ & Law, Econ Sch, Wuhan 430073, Peoples R China.
C3 Zhengzhou University of Light Industry; Zhongnan University of Economics
   & Law
RP Zhou, Q (corresponding author), Zhongnan Univ Econ & Law, Econ Sch, Wuhan 430073, Peoples R China.
EM 2012030@zzuli.edu.cn; suxuyang_123@163.com; Z0005072@zuel.edu.cn
OI Zhou, Qian/0000-0002-2319-1095
FU Support Plan for Scientific and Technological Innovation Talents in
   Henan Institutions of Higher Learning (humanities and social sciences)
   [2018-cx012]; Training Plan for Key Young Teachers in Henan Institutions
   of Higher Learning [2018GGJS094]; Good Scholar in Philosophy and Social
   Sciences in Henan Institutions of Higher Learning [2019-YXXZ20];
   Philosophy and Social Science Innovation Team Building Program of Henan
   Universities [2021-CXTD-12]; Basic research projects of philosophy and
   social sciences in Colleges and Universities of Henan Province
   [2021-JCZD-25]
FX This work was supported by grants from Support Plan for Scientific and
   Technological Innovation Talents in Henan Institutions of Higher
   Learning (humanities and social sciences) (2018-cx012); Training Plan
   for Key Young Teachers in Henan Institutions of Higher Learning
   (2018GGJS094); Good Scholar in Philosophy and Social Sciences in Henan
   Institutions of Higher Learning (2019-YXXZ20); and Philosophy and Social
   Science Innovation Team Building Program of Henan Universities
   (2021-CXTD-12); Basic research projects of philosophy and social
   sciences in Colleges and Universities of Henan Province (2021-JCZD-25).
CR Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Ayyoob S., 2018, RESILIENT URBAN FORM, P167
   Borsekova K, 2018, INT J DISAST RISK RE, V31, P381, DOI 10.1016/j.ijdrr.2018.05.012
   Cai BP, 2018, RELIAB ENG SYST SAFE, V172, P216, DOI 10.1016/j.ress.2017.12.021
   Chaffin BC, 2018, GEOMORPHOLOGY, V305, P221, DOI 10.1016/j.geomorph.2017.09.038
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   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
   Ding YT, 2019, J CLEAN PROD, V211, P1480, DOI 10.1016/j.jclepro.2018.11.159
   Dogan D., 2020, J I SCI TECHNOL, V10, P1286
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Fang C., 2019, World Reg. Stud, V28, P77, DOI DOI 10.3969/J.ISSN.1004-9479.2019.06.2018403
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Feofilovs M, 2020, ENVIRON CLIM TECHNOL, V24, P249, DOI 10.2478/rtuect-2020-0101
   [郭付友 Guo Fuyou], 2021, [地理学报, Acta Geographica Sinica], V76, P726
   Hudec O, 2018, CITIES, V73, P24, DOI 10.1016/j.cities.2017.10.004
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Joerin J, 2014, DISASTERS, V38, P540, DOI 10.1111/disa.12058
   Joerin J, 2012, ENVIRON HAZARDS-UK, V11, P226, DOI 10.1080/17477891.2012.689248
   Kammouh O, 2019, ASCE-ASME J RISK U A, V5, DOI 10.1061/AJRUA6.0001004
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Li HM, 2021, DISCRETE DYN NAT SOC, V2021, DOI 10.1155/2021/6637631
   Liu K, 2021, DISCRETE DYN NAT SOC, V2021, DOI 10.1155/2021/5529153
   Marta B., 2020, LAND-BASEL, V9, P1
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meerow S, 2015, J IND ECOL, V19, P236, DOI 10.1111/jiec.12252
   MORAN PAP, 1950, BIOMETRIKA, V37, P17, DOI 10.1093/biomet/37.1-2.17
   Nosek V, 2017, LETT SPAT RESOUR SCI, V10, P149, DOI 10.1007/s12076-016-0178-2
   Ranasinghe U, 2020, SAF HEALTH WORK-KR, V11, P127, DOI 10.1016/j.shaw.2020.03.009
   Reuter C, 2017, TECHNOL FORECAST SOC, V121, P168, DOI 10.1016/j.techfore.2016.07.038
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Shi T, 2021, GROWTH CHANGE, V52, P2364, DOI 10.1111/grow.12554
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Sun J, 2019, MANAG ENVIRON QUAL, V30, P483, DOI 10.1108/MEQ-05-2018-0101
   Susan L.C., 2014, ENV SCI POLICY SUSTA, V55, P25
   United Nations Human Settlements Programme, 2020, WORLD CIT REP 2020 V, P11
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wang MX, 2018, J CLEAN PROD, V174, P315, DOI 10.1016/j.jclepro.2017.10.328
   WRIGLEY N, 1982, GEOGR J, V148, P383, DOI 10.2307/633177
   Xiao W, 2020, ECOL INDIC, V109, DOI 10.1016/j.ecolind.2019.105843
   Zhou L, 2020, J GEOGR SCI, V30, P724, DOI 10.1007/s11442-020-1752-5
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   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]
NR 50
TC 49
Z9 51
U1 10
U2 199
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 2021
VL 18
IS 19
AR 10231
DI 10.3390/ijerph181910231
PG 20
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 WK2WN
UT WOS:000709591400001
PM 34639530
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Rothwell, A
   Ridoutt, B
   Page, G
   Bellotti, W
AF Rothwell, Alison
   Ridoutt, Brad
   Page, Girija
   Bellotti, William
TI Environmental performance of local food: trade-offs and implications for
   climate resilience in a developed city
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Life cycle assessment; Food miles; Lettuce; Environmental impact; Supply
   chain; Packaging
ID GREENHOUSE-GAS EMISSIONS; LIFE-CYCLE ASSESSMENT; URBAN AGRICULTURE;
   CARBON; CHALLENGES; IMPACTS; SYDNEY; SYSTEM; SCALE; FRUIT
AB Localisation of food production is often advocated as a means to improve food security by creating climate resilient pathways within food supply chains. As a robust evidence-based response to legitimate food security and environmental concerns, the concept of local food remains controversial with limited studies comparing environmental impact trade-offs. This study compares local peri-urban commercial production in a developed city with de-localised production for lettuce, highlighting trade-offs between a spectrum of regionally relevant environmental indicators (global warming potential (GWP), land use, water use and eutrophication). On- and post-farm supply chain variation was assessed using life cycle assessment for product arriving at Sydney's central vegetable market. Three field farms, one outdoor hydroponic and one high technology greenhouse (HTG) were examined. Sensitivity to renewable energy was assessed in the case of the HTG. Peri-urban field produced lettuce delivered to the central market exhibited lower carbon dioxide equivalent (CO2-e) emissions (0.24 and 031 kg CO2-e per kg lettuce) compared to remote field (0.48 kg CO2-e) or peri-urban HTG production (0.51 kg CO2-e). Activities including packaging selection and distance to market had a large influence on environmental impacts. Benefits of using renewable energy for HTG production manifested as a reduction in emissions to 0.27 kg CO2-e, placing the HTG as an environmentally competitive alternative to field production. Land and water use were optimised through the use of outdoor hydroponic and HTG production with improvements over field production of up to 80 and 60 percent for land and water use respectively. Examination of a wider range of regionally specific environmental impacts should be considered with any environmental claims on local food, extending analysis beyond a restriction to emissions. Policy frameworks need to consider how trade-offs will be assessed and managed as governments strive for emissions reductions. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Rothwell, Alison; Page, Girija; Bellotti, William] Univ Western Sydney, Sch Sci & Hlth, Locked Bag 1797, Penrith, NSW 2751, Australia.
   [Ridoutt, Brad] Commonwealth Sci & Ind Res Org, Private Bag 10, Clayton, Vic 3169, Australia.
C3 Western Sydney University; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO)
RP Rothwell, A (corresponding author), Univ Western Sydney, Sch Sci & Hlth, Locked Bag 1797, Penrith, NSW 2751, Australia.
EM alison.rothwell@uws.edu.au; brad.ridoutt@csiro.au; g.page@uws.edu.au;
   w.bellotti@uws.edu.au
RI Bellotti, William/B-5013-2016; Ridoutt, Bradley/D-3329-2011
OI Ridoutt, Bradley/0000-0001-7352-0427
FU University of Western Sydney; CSIRO
FX We would like to thank Denis Rouillard (URC, UWS) for the map of the
   study area. Part of the data collection for this research was conducted
   in parallel with the Climate and Health Cluster under a Commonwealth
   Scientific and Industrial Research Organisation (CSIRO) Flagship
   program. Specifically, we would like to thank Gillian Hall and Bronwyn
   Isaacs, then of the Australian National University, for the
   collaboration opportunity. PhD scholarship funding was provided by
   University of Western Sydney and CSIRO.
CR [Anonymous], BEST PRACTICE FOOD D
   [Anonymous], 10 AUSTR AGR C 2001
   [Anonymous], 2006, ISO14040 - Environmental management - Life cycle assessment - Principles and framework
   [Anonymous], AGR FOOD SECUR
   [Anonymous], EC BUY LOC
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], LIFE CYCLE ASSESSMEN
   [Anonymous], FACT FIL RES SHEET 5
   [Anonymous], ECO TECH 10
   [Anonymous], VEG SPOTL LETT
   [Anonymous], VG03092 HORT AUSTR L
   [Anonymous], 5 AUSTR C LIF CYCL A
   [Anonymous], INT J LIFE CYCLE ASS
   [Anonymous], LOCALLY GROWN FOOD T
   [Anonymous], SUST FOOD MANCH
   [Anonymous], CLIM SMART AGR
   [Anonymous], J CLEAN PROD
   [Anonymous], VEG IND CARB FOOTPR
   [Anonymous], AM AGR EC ASS ANN M
   [Anonymous], UNDERSTANDING VICTOR
   [Anonymous], AM AGR EC ASS ANN M
   [Anonymous], 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories
   [Anonymous], ENV SCI TECHNOL
   [Anonymous], SYDN PROD MARK
   [Anonymous], PROD SYST UPA
   [Anonymous], WSROC RESP REG ACT P
   British Standards Institution (BSI), 2011, PAS2050:2011
   Brodt S, 2013, FOOD POLICY, V42, P106, DOI 10.1016/j.foodpol.2013.07.004
   Caputo S, 2012, SUSTAINABLE FOOD PLANNING: EVOLVING THEORY AND PRACTICE, P259, DOI 10.3920/978-90-8686-826-1_22
   Cellura M, 2012, J CLEAN PROD, V28, P56, DOI 10.1016/j.jclepro.2011.10.021
   Cerutti AK, 2014, J CLEAN PROD, V73, P125, DOI 10.1016/j.jclepro.2013.09.017
   Chomkhamsri Kirana., 2011, Analysis of Existing Environmental Footprint Methodologies for Product and Organizations: Recommendations, Rationale, and Alignment
   Cleveland DA, 2011, ENVIRON SCI TECHNOL, V45, P4555, DOI 10.1021/es1040317
   Darly S, 2012, SUSTAINABLE FOOD PLANNING: EVOLVING THEORY AND PRACTICE, P115, DOI 10.3920/978-90-8686-826-1_9
   Earles JM, 2012, NAT CLIM CHANGE, V2, P682, DOI [10.1038/NCLIMATE1535, 10.1038/nclimate1535]
   Edwards-Jones G, 2008, TRENDS FOOD SCI TECH, V19, P265, DOI 10.1016/j.tifs.2008.01.008
   Garnett T, 2011, FOOD POLICY, V36, pS23, DOI 10.1016/j.foodpol.2010.10.010
   Glaser Lewrene K., 2001, Recent Changes in Marketing and Trade Practices in the U.S. Lettuce and Fresh-Cut Vegetable Industries
   Gunady MGA, 2012, J CLEAN PROD, V28, P81, DOI 10.1016/j.jclepro.2011.12.031
   Hall G., 2014, Agriculture Food Security, V3, P6, DOI 10.1186/2048-7010-3-6
   Hospido A, 2009, INT J LIFE CYCLE ASS, V14, P381, DOI 10.1007/s11367-009-0091-7
   Leiden University, 2013, CML IA CHAR FACT
   Malcolm P., 2009, Ground truthing of the Sydney vegetable industry in 2008
   Maraseni TN, 2012, J ENVIRON MANAGE, V111, P220, DOI 10.1016/j.jenvman.2012.07.020
   Maraseni TN, 2010, J ENVIRON SCI HEAL B, V45, P578, DOI 10.1080/03601234.2010.493497
   Marletto G, 2014, J TRANSP GEOGR, V34, P131, DOI 10.1016/j.jtrangeo.2013.12.002
   Marton S., 2010, Proceeding of LCA Food, V1, P531
   Mason D, 2010, INT J AGR SUSTAIN, V8, P62, DOI 10.3763/ijas.2009.0474
   Merson J, 2010, INT J AGR SUSTAIN, V8, P72, DOI 10.3763/ijas.2009.0464
   National Greenhouse Gas Inventory, 2007, AUSTR METH EST GREEN
   Page G, 2012, J CLEAN PROD, V32, P219, DOI 10.1016/j.jclepro.2012.03.036
   Perrin A, 2014, INT J LIFE CYCLE ASS, V19, P1247, DOI 10.1007/s11367-014-0724-3
   PRe Consultants, 2014, SIMAPRO
   Schlich EH, 2005, INT J LIFE CYCLE ASS, V10, P219, DOI 10.1065/lca2004.09.180.9
   Sheng Y, 2015, AUST J AGR RESOUR EC, V59, P16, DOI 10.1111/1467-8489.12063
   Sim S, 2007, INT J LIFE CYCLE ASS, V12, P422, DOI 10.1065/lca2006.07.259
   Viljoen A, 2012, SUSTAINABLE FOOD PLANNING: EVOLVING THEORY AND PRACTICE, P1, DOI 10.3920/978-8686-826-1
   Weber CL, 2008, ENVIRON SCI TECHNOL, V42, P3508, DOI 10.1021/es702969f
   Weidema BP, 2013, Overv Method: Data Qual Guidel ecoinvent Database Version 3
NR 59
TC 74
Z9 81
U1 6
U2 113
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 FEB 15
PY 2016
VL 114
BP 420
EP 430
DI 10.1016/j.jclepro.2015.04.096
PG 11
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA DX8GP
UT WOS:000384626400039
DA 2025-04-22
ER

PT J
AU Hettiarachchi, S
   Wasko, C
   Sharma, A
AF Hettiarachchi, Suresh
   Wasko, Conrad
   Sharma, Ashish
TI Rethinking urban storm water management through resilience - The case
   for using green infrastructure in our warming world
SO CITIES
LA English
DT Article
ID CLIMATE-CHANGE; FLOOD RESILIENCE; INCREASE; DESIGN; IMPACT; INDEX; RISK
AB Urban flooding is one of the greatest threats to life and property, further exacerbated by the impacts of a warming climate. Balancing the increasing demand for liveable space with infrastructure for urban stormwater management presents a planning conundrum. Traditional thinking and design in urban stormwater is reaching limits in adequacy, or have foreboding implementation costs. We argue that a shift in design philosophy from resisting flooding to resilience can reframe this challenge towards viable solutions. We also propose that a simpler way of assessing urban flood resilience is needed to make the shift away from a single event design approach. To that end a Simple Urban Flood Resilience Index (SUFRI) is developed as the basis and the tool for rethinking urban flood management in a future climate. SUFRI offers a "simple " framework for urban flood management as it is based only on hydrologic and hydraulic modelling. We use SUFRI to evaluate the use of green infrastructure in combatting the threat of urban flooding in warmer climatic conditions. Results show that green infrastructure remains effective during more frequent storms (~80th percentile) that can occur in warmer climatic conditions and retrofitting or converting a smaller than expected percentage of the urban landscape (up to 5 %) can yield appreciable benefits. Overall, we show that the flexibility and adaptability needed to address the highly variable urban flood response in warmer climates is implicit within resilience based flood management approaches.
C1 [Hettiarachchi, Suresh; Sharma, Ashish] Univ New South Wales, Sch Civil & Environm Engn, Sydney, Australia.
   [Wasko, Conrad] Univ Melbourne, Dept Infrastructure Engn, Melbourne, Australia.
C3 University of New South Wales Sydney; University of Melbourne
RP Sharma, A (corresponding author), Univ New South Wales, Sch Civil & Environm Engn, Sydney, Australia.
EM a.sharma@unsw.edu.au
RI sharma, ashish/KQV-0194-2024; Wasko, Conrad/Y-6067-2019
OI Wasko, Conrad/0000-0002-9166-8289
FU University of Melbourne McKenzie Postdoctoral Fellowship scheme;
   Australian Research Council [DP200101326, DE210100479]; Australian
   Research Council [DE210100479, DP200101326] Funding Source: Australian
   Research Council
FX Conrad Wasko receives funding from the University of Melbourne McKenzie
   Postdoctoral Fellowship scheme and the Australian Research Council
   (DP200101326, DE210100479) . The authors acknowledge support from the
   Australian Research Council. The authors acknowledge and thank the South
   Washington Watershed District in Minnesota (http s:// www.swwdmn.org/)
   for the use of the model and background data for this study. The
   rainfall data is available at the NOAA data center (https://
   www.ncdc.noaa.gov/cdo-web/) . The data available through Department of
   Natural Resources of the State of Minnesota can be accessed at available
   at https:// www.dnr.state.mn.us/climate/wxsta/pan-evaporation.html.
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Birgani YT, 2018, WATER RESOUR MANAG, V32, P2817, DOI 10.1007/s11269-018-1960-2
   Brown S.A., 2009, URBAN DRAINAGE DESIG, V22
   Dada A, 2021, CLIMATE, V9, DOI 10.3390/cli9100152
   EPA, 2016, STORM WATER MANAGEME
   Fadhel S, 2018, J HYDROL, V560, P546, DOI 10.1016/j.jhydrol.2018.03.041
   Fiori A, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027121
   Fowler HJ, 2021, NAT REV EARTH ENV, V2, P107, DOI 10.1038/s43017-020-00128-6
   Fowler HJ, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001778
   Gersonius Berry., 2008, Can resilience support integrated approaches to urban drainage management?
   Green D, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1560
   Greve P, 2014, NAT GEOSCI, V7, P716, DOI [10.1038/ngeo2247, 10.1038/NGEO2247]
   Haghighatafshar S, 2018, J ENVIRON MANAGE, V207, P60, DOI 10.1016/j.jenvman.2017.11.018
   Hashimoto T, 1982, WATER RESOUR RES, V18
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Hettiarachchi S, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002392
   Hettiarachchi S, 2019, J HYDROL, V571, P11, DOI 10.1016/j.jhydrol.2019.01.039
   Hettiarachchi S, 2018, HYDROL EARTH SYST SC, V22, P2041, DOI 10.5194/hess-22-2041-2018
   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]
   Hua P, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118515
   Jamali B, 2020, WATER RES, V171, DOI 10.1016/j.watres.2019.115372
   Jato-Espino D, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13010149
   Kapetas L, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0204
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Lee EH, 2017, WATER-SUI, V9, DOI 10.3390/w9060428
   Lenderink G, 2008, NAT GEOSCI, V1, P511, DOI 10.1038/ngeo262
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu W, 2014, ECOL MODEL, V291, P6, DOI 10.1016/j.ecolmodel.2014.07.012
   Maity R, 2013, J HYDROL ENG, V18, P859, DOI 10.1061/(ASCE)HE.1943-5584.0000639
   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
   MPS, 2017, CIT MINN STORMW SAN
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Munoz SE, 2018, NATURE, V556, P95, DOI 10.1038/nature26145
   Paprotny D, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04253-1
   Pathiraja S, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010997
   Perica S., 2013, NOAA ATLAS, V14, P2
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Pui A, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009420
   Seneviratne SoniaI., 2017, Changes in climate extremes and their impacts on the natural physical environment
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Sharma A, 2018, WATER RESOUR RES, V54, P8545, DOI 10.1029/2018WR023749
   Sills GL, 2008, J GEOTECH GEOENVIRON, V134, P556, DOI 10.1061/(ASCE)1090-0241(2008)134:5(556)
   Sirishantha U., 2017, Engineering and Applied Science Research, V44, P235, DOI DOI 10.14456/EASR.2017.36
   Sohn W, 2019, J ENVIRON MANAGE, V236, P365, DOI 10.1016/j.jenvman.2018.11.041
   Staddon Chad, 2018, Environment Systems & Decisions, V38, P330, DOI 10.1007/s10669-018-9702-9
   SWWD, 2021, US
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   Wasko C, 2021, J HYDROL, V602, DOI 10.1016/j.jhydrol.2021.126731
   Wasko C, 2015, NAT GEOSCI, V8, P527, DOI [10.1038/NGEO2456, 10.1038/ngeo2456]
   Wilbanks T., 2012, CLIMATE CHANGE INFRA
   Woldemeskel F, 2016, GEOPHYS RES LETT, V43, P7556, DOI 10.1002/2016GL069448
   Wu ZN, 2020, SCI TOTAL ENVIRON, V716, DOI 10.1016/j.scitotenv.2020.137077
   Yan L, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1519
   Yazdanfar Z, 2015, WATER SCI TECHNOL, V72, P165, DOI 10.2166/wst.2015.207
   Yazdi J, 2018, WATER RESOUR MANAG, V32, P721, DOI 10.1007/s11269-017-1835-y
   Zimmerman M., 2010, Effects of Selected Low-Impact-Development (LID) Techniques on Water Quality and Quantity in the Ipswich River Basin, Massachusetts: Field and Modeling Studies
NR 59
TC 22
Z9 22
U1 14
U2 80
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD SEP
PY 2022
VL 128
AR 103789
DI 10.1016/j.cities.2022.103789
EA JUN 2022
PG 12
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 2E2ER
UT WOS:000812045100012
OA Bronze
DA 2025-04-22
ER

PT J
AU Cavallaro, M
   Asprone, D
   Latora, V
   Manfredi, G
   Nicosia, V
AF Cavallaro, M.
   Asprone, D.
   Latora, V.
   Manfredi, G.
   Nicosia, V.
TI Assessment of Urban Ecosystem Resilience through Hybrid Social-Physical
   Complex Networks
SO COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
LA English
DT Article
ID CASCADING FAILURES; ROBUSTNESS; FRAMEWORK; FRAGILITY; INTERNET; GROWTH
AB One of the most important tasks of urban and hazard planning is to mitigate the damages and minimize the costs of the recovery process after catastrophic events. In this context, the capability of urban systems and communities to recover from disasters is referred to as resilience. Despite the problem of resilience quantification having received a lot of attention, a mathematical definition of the resilience of an urban community, which takes into account the social aspects of an urban environment, has not yet been identified. In this article, we provide and test a methodology for the assessment of urban resilience to catastrophic events which aims at bridging the gap between the engineering and the ecosystem approaches to resilience. We propose to model an urban system by means of different hybrid social-physical complex networks, obtained by enriching the urban street network with additional information about the social and physical constituents of a city, namely citizens, residential buildings, and services. Then, we introduce a class of efficiency measures on these hybrid networks, inspired by the definition of global efficiency given in complex network theory, and we show that these measures can be effectively used to quantify the resilience of an urban system, by comparing their respective values before and after a catastrophic event and during the reconstruction process. As a case study, we consider simulated earthquakes in the city of Acerra, Italy, and we use these efficiency measures to compare the ability of different reconstruction strategies in restoring the original performance of the urban system.
C1 [Cavallaro, M.; Latora, V.; Nicosia, V.] Queen Mary Univ London, Sch Math Sci, London, England.
   [Asprone, D.; Manfredi, G.] Univ Naples Federico II, Dept Struct Engn & Architecture, Naples, Italy.
   [Latora, V.] Univ Catania, Dipartimento Fis & Astron, I-95123 Catania, Italy.
   [Latora, V.] Ist Nazl Fis Nucl, I-95123 Catania, Italy.
C3 University of London; Queen Mary University London; University of Naples
   Federico II; University of Catania; Istituto Nazionale di Fisica
   Nucleare (INFN)
RP Asprone, D (corresponding author), Univ Naples Federico II, Dept Struct Engn & Architecture, Naples, Italy.
EM d.asprone@unina.it
RI Asprone, Domenico/G-8166-2012; Cavallaro, Massimo/ABI-3653-2022;
   Nicosia, Vincenzo/C-7890-2013
OI Latora, Vito/0000-0002-0984-8038; Nicosia, Vincenzo/0000-0003-0636-3278;
   Cavallaro, Massimo/0000-0002-2365-6024; Manfredi,
   Gaetano/0000-0002-4860-4511; Asprone, Domenico/0000-0001-5795-8568
FU Consorzio T.R.E.; Department of Structures for Engineering and
   Architecture, University of Naples "Federico II," Naples, Italy; EPSRC
   [EP/K020633/1] Funding Source: UKRI
FX M.C. acknowledges support from the Consorzio T.R.E. and the Department
   of Structures for Engineering and Architecture, University of Naples
   "Federico II," Naples, Italy, where most of this work was performed.
CR Ahmad N., 2011, ANAL FRAGILITY FUNCT, VVolume 3
   Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   Attoh-Okine NO, 2009, IEEE SYST J, V3, P147, DOI 10.1109/JSYST.2009.2019148
   Bar-Yam Y., 2003, DYNAMIC COMPLEX SYST
   Barthélemy M, 2011, PHYS REP, V499, P1, DOI 10.1016/j.physrep.2010.11.002
   Batty M., 2007, Cities and complexity: Understanding cities with cellular automata, agentbased models, and fractals
   Batty M., 1994, FRACTAL CITIES GEOME
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Bettencourt L, 2010, NATURE, V467, P912, DOI 10.1038/467912a
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Boccaletti S, 2006, PHYS REP, V424, P175, DOI 10.1016/j.physrep.2005.10.009
   Brummitt CD, 2012, PHYS REV E, V85, DOI 10.1103/PhysRevE.85.045102
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Buldyrev SV, 2010, NATURE, V464, P1025, DOI 10.1038/nature08932
   Callaway DS, 2000, PHYS REV LETT, V85, P5468, DOI 10.1103/PhysRevLett.85.5468
   Cardillo A, 2006, PHYS REV E, V73, DOI 10.1103/PhysRevE.73.066107
   Cavalieri F, 2012, EARTHQ ENG STRUCT D, V41, P1569, DOI 10.1002/eqe.2220
   Cohen R, 2001, PHYS REV LETT, V86, P3682, DOI 10.1103/PhysRevLett.86.3682
   Cohen R, 2000, PHYS REV LETT, V85, P4626, DOI 10.1103/PhysRevLett.85.4626
   Cosenza E., 2010, LAQUILA PROGETTO C A
   Crucitti P, 2006, PHYS REV E, V73, DOI 10.1103/PhysRevE.73.036125
   Dalziell E., 2004, 1 INT FORUM ENG DECI
   Dorogovtsev SN, 2001, PHYS REV E, V64, DOI 10.1103/PhysRevE.64.025101
   Dueñas-Osorio L, 2011, COMPUT-AIDED CIV INF, V26, P111, DOI 10.1111/j.1467-8667.2010.00661.x
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Franchin F., 2013, P 11 INT C STRUCT SA
   Franchin F., 2013, HDB SEISMIC RISK ANA
   Gao JX, 2012, NAT PHYS, V8, P40, DOI 10.1038/nphys2180
   Gao J, 2011, PHYS REV LETT, V107, DOI 10.1103/PhysRevLett.107.092002
   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., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Huang XQ, 2013, SCI REP-UK, V3, DOI 10.1038/srep01219
   Kinney R, 2005, EUR PHYS J B, V46, P101, DOI 10.1140/epjb/e2005-00237-9
   Kovalenko T., 2013, PLANET RISK, V1, P1
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Li J, 2002, EARTHQUAKE ENG STRUC, V31, P1525, DOI 10.1002/eqe.174
   Li Y, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005636
   Lorenz DF, 2013, NAT HAZARDS, V67, P7, DOI 10.1007/s11069-010-9654-y
   MAKSE HA, 1995, NATURE, V377, P608, DOI 10.1038/377608a0
   Maliszewski PJ, 2012, APPL GEOGR, V32, P668, DOI 10.1016/j.apgeog.2011.08.001
   Marshall S., 2004, Streets and patterns
   Morris RG, 2012, PHYS REV LETT, V109, DOI 10.1103/PhysRevLett.109.128703
   Munn R. E., 1986, Sustainable Development of the Biosphere, P292
   Nejat A, 2012, COMPUT-AIDED CIV INF, V27, P748, DOI 10.1111/j.1467-8667.2012.00787.x
   Newman MEJ, 2003, SIAM REV, V45, P167, DOI 10.1137/S003614450342480
   O'Rourke T.D., 2007, Bridge-Washington-National Academy of Engineering, V37, P22
   Omer M, 2009, IEEE SYST J, V3, P295, DOI 10.1109/JSYST.2009.2022570
   Opricovic S, 2002, COMPUT-AIDED CIV INF, V17, P211, DOI 10.1111/1467-8667.00269
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Paul G, 2004, EUR PHYS J B, V38, P187, DOI 10.1140/epjb/e2004-00112-3
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Pinto P. E., 2006, STATE ART METHODS SE, V79
   PITTS FR, 1965, PROF GEOGR, V17, P15, DOI 10.1111/j.0033-0124.1965.015_m.x
   Porta S, 2012, URBAN STUD, V49, P1471, DOI 10.1177/0042098011422570
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Salingaros N.A., 2005, Principles of urban structure
   Satumtira G, 2010, SUSTAINABLE AND RESILIENT CRITICAL INFRASTRUCTURE SYSTEMS: SIMULATION, MODELING, AND INTELLIGENT ENGINEERING, P1, DOI 10.1007/978-3-642-11405-2_1
   Scellato S, 2006, EUR PHYS J B, V50, P221, DOI 10.1140/epjb/e2006-00066-4
   Southworth Michael., 2003, STREETS SHAPING TOWN
   Stauffer D., 1992, INTRO PERCOLATION TH
   Strano E, 2012, SCI REP-UK, V2, DOI 10.1038/srep00296
   Strogatz SH, 2001, NATURE, V410, P268, DOI 10.1038/35065725
   Tamvakis P., 2013, Procedia-Social and Behavioral Sciences, V74, P261
   UN, 2008, TECHNICAL REPORT
   United Nation, 2010, TECHNICAL REPORT
   Vespignani A, 2010, NATURE, V464, P984, DOI 10.1038/464984a
   Vragovic I, 2005, PHYS REV E, V71, DOI 10.1103/PhysRevE.71.036122
   Wilson A. G., 1970, Entropy in Urban and Regional Modelling
NR 70
TC 91
Z9 108
U1 21
U2 264
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1093-9687
EI 1467-8667
J9 COMPUT-AIDED CIV INF
JI Comput.-Aided Civil Infrastruct. Eng.
PD SEP
PY 2014
VL 29
IS 8
SI SI
BP 608
EP 625
DI 10.1111/mice.12080
PG 18
WC Computer Science, Interdisciplinary Applications; Construction &
   Building Technology; Engineering, Civil; Transportation Science &
   Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Construction & Building Technology; Engineering;
   Transportation
GA AN3EE
UT WOS:000340467100004
DA 2025-04-22
ER

PT J
AU Qian, JL
   Du, YY
   Liang, FY
   Yi, JW
   Wang, N
   Tu, WN
   Huang, S
   Pei, T
   Ma, T
   Burghardt, K
   Lerman, K
AF Qian, Jiale
   Du, Yunyan
   Liang, Fuyuan
   Yi, Jiawei
   Wang, Nan
   Tu, Wenna
   Huang, Sheng
   Pei, Tao
   Ma, Ting
   Burghardt, Keith
   Lerman, Kristina
TI Evaluating resilience of urban lifelines against flooding in China using
   social media data
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Early warning; Flood; Resilience; Rumor spreading; Social media; Urban
   lifelines
AB Urban lifelines are the backbone of fundamental services that require stability to enable all other aspects of society to function during natural hazards. However, few studies have focused on measuring lifeline performance and resilience to hazards, especially from the public perspective. In this study, taking flood as the research object, we developed an enhanced urban lifelines classification scheme that integrates the Federal Emergency Management Agency (FEMA)'s lifeline framework with the co-occurrence relationships of keywords derived from 430 million Weibo posts. Leveraging this framework, we formulated two key indicators: Public Concern Ratio and Public Emotion Ratio, to evaluate the resilience of urban lifelines during the 2017 and 2020 flood in China. The results demonstrate the robust resilience of urban lifelines against flooding, with notable improvements over time. The study also identifies certain vulnerable lifelines, notably in the ability of early warning and control of rumor spreading, which often lead to an increase in social media posts expressing negative emotions during flooding. These areas are pinpointed for necessary enhancements. Employing a data-driven methodology, the study provides a novel and insightful approach to assessing urban lifeline resilience against flooding.
C1 [Qian, Jiale; Du, Yunyan; Liang, Fuyuan; Yi, Jiawei; Wang, Nan; Tu, Wenna; Huang, Sheng; Pei, Tao; Ma, Ting] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Qian, Jiale; Du, Yunyan; Yi, Jiawei; Wang, Nan; Tu, Wenna; Huang, Sheng; Pei, Tao; Ma, Ting] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Qian, Jiale; Burghardt, Keith; Lerman, Kristina] Univ Southern Calif, Informat Sci Inst, Los Angeles, CA 90292 USA.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS; University of Southern California
RP Du, YY (corresponding author), Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
EM duyy@lreis.ac.cn
RI Pei, Tao/KVB-5494-2024; Ma, Ting/JPK-8300-2023; Yi,
   Jiawei/ABA-1970-2021; Lerman, Kristina/F-4198-2010; huang,
   sheng/GZN-0283-2022
OI Huang, Sheng/0000-0001-5900-627X; Burghardt, Keith/0000-0003-1164-9545;
   qian, jiale/0000-0002-6677-0820; Ma, Ting/0000-0002-4362-9330
FU Key Project of Innovation LREIS [KPI002]; National Science Foundation of
   China [42176205]
FX This research was jointly supported by the Key Project of Innovation
   LREIS (KPI002) , National Science Foundation of China (42176205) .
CR Abdi H., 2010, Encyclopedia of research design
   Anam A, 2019, 2019 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2019), P350, DOI 10.1109/SMARTCOMP.2019.00072
   Blekking J, 2022, CURR OPIN ENV SUST, V55, DOI 10.1016/j.cosust.2022.101169
   Bozza A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010103
   Bradshaw RR, 2006, J PHYS EDUC RECREAT, V77, P12, DOI 10.1080/07303084.2006.10597822
   BROWNRIGG DRK, 1984, COMMUN ACM, V27, P807, DOI 10.1145/358198.358222
   Bukar UA, 2023, METHODSX, V11, DOI 10.1016/j.mex.2023.102339
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Chen L., 2021, 2021 4 INT C ALG COM, V22, P1
   Coombs WT, 2007, CORP REPUT REV, V10, P163, DOI 10.1057/palgrave.crr.1550049
   Cruz AM, 2008, NAT HAZARDS, V46, P199, DOI 10.1007/s11069-007-9207-1
   Davis CA, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000303
   Ding Y, 2020, Dialogo, V7, P103
   Feng Y, 2022, COMPUT ENVIRON URBAN, V93, DOI 10.1016/j.compenvurbsys.2022.101759
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Guo E. D., 2017, Proceedings of the Seventh China-Japan-US Trilateral Symposium on Lifeline Earthquake Engineering. International Collaboration in Lifeline Earthquake Engineering 2016, P528
   Guo S., 2024, arXiv
   He S., 2021, Nat Hazards Res, V1, P134, DOI [10.1016/j.nhres.2021.04.002, DOI 10.1016/J.NHRES.2021.04.002]
   Huang QY, 2015, ISPRS INT J GEO-INF, V4, P1549, DOI 10.3390/ijgi4031549
   Huang W., 2019, Geographic Information Systems and Science, V41, P12
   Huang WJ, 2018, COMPUT ENVIRON URBAN, V71, P67, DOI 10.1016/j.compenvurbsys.2018.04.003
   Koroso NH, 2021, HABITAT INT, V117, DOI 10.1016/j.habitatint.2021.102437
   Kruger J, 2020, DISASTER MED PUBLIC, V14, P7, DOI 10.1017/dmp.2019.119
   Lee R, 2003, J ECON PERSPECT, V17, P167, DOI 10.1257/089533003772034943
   Li L, 2023, ENVIRON IMPACT ASSES, V100, DOI 10.1016/j.eiar.2023.107093
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   Liu SC, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102206
   Liu Zhang, 2019, REMOTE SENS-BASEL, V11, DOI [10.3390/rs11182091, DOI 10.3390/rs11182091]
   Mishra S., 2019, P INT C SUST COMP SC, P26
   Moore FC, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-13935-3
   Muñoz DF, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027544
   Nohrstedt D, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31059-z
   Park J, 2006, EARTHQ SPECTRA, V22, P491, DOI 10.1193/1.2198872
   Qian J., 2022, Natural Hazards and Earth System Sciences Discussions, P1
   Qian JL, 2024, ISPRS INT J GEO-INF, V13, DOI 10.3390/ijgi13030092
   Qian JL, 2021, COMPUT ENVIRON URBAN, V85, DOI 10.1016/j.compenvurbsys.2020.101552
   Ramos Juan., 2003, USING TF IDF DETERMI, V242, P29
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Renschler C.S., 2010, MCEER Buffalo, V10, P6
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Simon T., 2014, PLoS currents, V6, P5
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   Traag VA, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-41695-z
   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
   Wang B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102884
   Wang XW, 2020, INF DISCOV DELIV, V48, P213, DOI 10.1108/IDD-10-2019-0075
   Wohl EllenE., 2000, Inland Flood Hazards
   Yang Z., 2017, 2017 IEEE INT C BIG
   Yuan FX, 2022, COMPUT ENVIRON URBAN, V97, DOI 10.1016/j.compenvurbsys.2022.101870
   Yuan FX, 2018, INT J DISAST RISK RE, V28, P758, DOI 10.1016/j.ijdrr.2018.02.003
   ZHANG RH, 1992, PROCEEDINGS OF THE TENTH WORLD CONFERENCE ON EARTHQUAKE ENGINEERING, VOLS 1-10, P5475
   Zheng J, 2022, EXPERT SYST APPL, V203, DOI 10.1016/j.eswa.2022.117382
   Zou L, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103513
   Zou L, 2018, ANN AM ASSOC GEOGR, V108, P1422, DOI 10.1080/24694452.2017.1421897
NR 54
TC 4
Z9 5
U1 26
U2 31
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 2024
VL 106
AR 104453
DI 10.1016/j.ijdrr.2024.104453
EA APR 2024
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 C1W0K
UT WOS:001287320100001
DA 2025-04-22
ER

PT J
AU Tang, Y
   Song, YY
   Xue, DQ
   Ma, BB
   Ye, H
AF Tang, Yu
   Song, Yongyong
   Xue, Dongqian
   Ma, Beibei
   Ye, Hao
TI Urban Shrinkage from the Perspective of Economic Resilience and
   Population Change: A Case Study of the Shanxi-Shaanxi-Inner Mongolia
   Region
SO LAND
LA English
DT Article
DE crisis disturbance; economic resilience; population change; urban
   shrinkage; Shanxi-Shaanxi-Inner Mongolia region
ID CITIES; GROWTH
AB With the increasing uncertainty of urban development, urban shrinkage in the rapid urbanization process in China has become increasingly serious. While many studies have explored urban shrinkage from the economic and population perspectives, they often ignore the essence of the phased evolution of economic and population factors. Thus, this study introduces the theory of economic resilience into the field of urban shrinkage and constructs a theoretical method for identifying urban shrinkage by integrating economic resilience and population change to reveal the evolutionary trajectory of regional urban growth and shrinkage. The results show that urban economic resilience and population change in the Shanxi-Shaanxi-Inner Mongolia region (SSIMR) exhibit strong volatility, highlighting the importance of conducting urban shrinkage studies within specific crisis disturbance scenarios. In the context of the "new normal of the economy", the economic resilience of cities in the SSIMR has significantly declined, and the problem of economic recession is gradually intensifying. The population change trend of cities in the SSIMR is relatively stable, with population loss being a common problem in urban development in the area and its scope and intensity increasing daily. Urban development in the SSIMR is evolving from global growth to widespread shrinkage, with 56.67% of the cities experiencing relative shrinkage, showing a spatial pattern of "western growth-eastern shrinkage". Factors such as the agglomeration effect, industrial structure, and policy system collectively shape the evolution of urban growth and shrinkage.
C1 [Tang, Yu; Song, Yongyong; Xue, Dongqian; Ma, Beibei; Ye, Hao] Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China.
C3 Shaanxi Normal University
RP Song, YY (corresponding author), Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China.
EM tangyu20171014@snnu.edu.cn; syy2016@snnu.edu.cn; xuedq@snnu.edu.cn;
   mabb@snnu.edu.cn; yehao@snnu.edu.cn
RI Song, Yongyong/AAP-8518-2020
FU National Natural Science Foundation of China
FX No Statement Available
CR Bai XM, 2014, NATURE, V509, P158, DOI 10.1038/509158a
   Batunova E, 2020, REG SCI POLICY PRACT, V12, P595, DOI 10.1111/rsp3.12262
   Bertinelli L, 2004, J URBAN ECON, V56, P80, DOI 10.1016/j.jue.2004.03.003
   Blanco H, 2009, PROG PLANN, V72, P195, DOI 10.1016/j.progress.2009.09.001
   [陈肖飞 Chen Xiaofei], 2020, [经济地理, Economic Geography], V40, P37
   Deng TT, 2019, CITIES, V86, P210, DOI 10.1016/j.cities.2018.09.017
   Du ZW, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102767
   Du ZW, 2019, J GEOGR SCI, V29, P1331, DOI 10.1007/s11442-019-1662-6
   [杜志威 Du Zhiwei], 2017, [地理学报, Acta Geographica Sinica], V72, P1800
   [关皓明 Guan Haoming], 2018, [地理学报, Acta Geographica Sinica], V73, P771
   Guo FY, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103391
   Haase A, 2016, EUR URBAN REG STUD, V23, P86, DOI 10.1177/0969776413481985
   Haase A, 2014, ENVIRON PLANN A, V46, P1519, DOI 10.1068/a46269
   Hartt M, 2018, URBAN STUD, V55, P2946, DOI 10.1177/0042098017730013
   Hartt MD, 2018, CITIES, V75, P38, DOI 10.1016/j.cities.2016.12.005
   HauSSermann H., 1988, Soziologische Stadtforschung, P78, DOI DOI 10.1007/978-3-322-83617-55
   He C. F., 2023, HUMAN GEOGRAPHY, V38, P1
   He SY, 2017, CITIES, V60, P75, DOI 10.1016/j.cities.2016.07.009
   Lee S, 2023, URBAN STUD, V60, P26, DOI 10.1177/00420980211064455
   [李博 Li Bo], 2020, [自然资源学报, Journal of Natural Resources], V35, P668
   Li L. G., 2019, Hum. Geogr, V2, P1, DOI [10.13959/j.issn.1003-2398.2019.02.001, DOI 10.13959/J.ISSN.1003-2398.2019.02.001]
   [李郇 Li Xun], 2017, [地理研究, Geographical Research], V36, P1997
   Li Z., 2020, Hum. Geogr, V35, P1
   Li Z., 2015, URBAN DEV STUD, V22, P74
   [刘贵文 Liu Guiwen], 2019, [经济地理, Economic Geography], V39, P50
   Liu Z, 2020, HABITAT INT, V104, DOI 10.1016/j.habitatint.2020.102256
   Long Y., 2015, Modern Urban Research, P14
   [马佐澎 Ma Zuopeng], 2021, [地理学报, Acta Geographica Sinica], V76, P767
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   Martin R, 2019, PAP REG SCI, V98, P1801, DOI 10.1111/pirs.12430
   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
   Martinez-Fernandez C, 2016, PROG PLANN, V105, P1, DOI 10.1016/j.progress.2014.10.001
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Song YY, 2023, J GEOGR SCI, V33, P1245, DOI 10.1007/s11442-023-2128-4
   [孙久文 Sun Jiuwen], 2022, [经济地理, Economic Geography], V42, P1
   [孙平军 Sun Pingjun], 2023, [地理研究, Geographical Research], V42, P106
   [孙平军 Sun Pingjun], 2022, [地理科学进展, Progress in Geography], V41, P1478
   [孙平军 Sun Pingjun], 2021, [地理学报, Acta Geographica Sinica], V76, P1366
   Tang Y., 2022, Resour. Sci, V44, P1331, DOI [10.18402/resci.2022.07.03, DOI 10.18402/RESCI.2022.07.03]
   Tang Y., 2023, Progress in Geography, V42, P287
   Wang J, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102646
   Webber DJ, 2018, ECON GEOGR, V94, P355, DOI 10.1080/00130095.2017.1419057
   [文琦 Wen Qi], 2022, [地理科学, Scientia Geographica Sinica], V42, P682
   Wiechmann T, 2012, INT J URBAN REGIONAL, V36, P261, DOI 10.1111/j.1468-2427.2011.01095.x
   Wolff M, 2018, EUR URBAN REG STUD, V25, P122, DOI 10.1177/0969776417694680
   Wu K., 2023, Journal of Natural Resources, V38, P109, DOI DOI 10.31497/ZRZYXB.20230107
   [吴康 Wu Kang], 2021, [地理研究, Geographical Research], V40, P213
   [吴康 Wu Kang], 2017, [经济地理, Economic Geography], V37, P59
   [武娜 Wu Na], 2019, [地球信息科学学报, Journal of Geo-Information Science], V21, P1040
   Xie MK, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14063650
   [闫广华 Yan Guanghua], 2021, [地理科学, Scientia Geographica Sinica], V41, P880
   Zhang M.M., 2022, Prog. Geogr, V41, P999, DOI [10.18306/dlkxjz.2022.06.005, DOI 10.18306/DLKXJZ.2022.06.005]
   Zhao J.H., 2017, URBAN DEV STUD, V24, P135, DOI [10.3969/j.issn.1006-3862.2017.01.020, DOI 10.3969/J.ISSN.1006-3862.2017.01.020]
   [赵清林 Zhao Qinglin], 2020, [地理科学进展, Progress in Geography], V39, P1106
   [周侃 Zhou Kan], 2019, [地理学报, Acta Geographica Sinica], V74, P2078
   Zhu Y.-y., 2023, J. Nat. Resour, V38, P73, DOI [10.31497/zrzyxb.20230105, DOI 10.31497/ZRZYXB.20230105]
NR 57
TC 0
Z9 0
U1 22
U2 39
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD APR
PY 2024
VL 13
IS 4
AR 444
DI 10.3390/land13040444
PG 19
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA OW0I9
UT WOS:001210194100001
OA gold
DA 2025-04-22
ER

PT J
AU Yu, SR
   Li, RQ
   Zhang, YX
   Wang, MF
   Zhang, P
   Wu, AZ
   Yu, FC
   Zhang, XF
   Yang, L
   Cui, YA
AF Yu, Shuangrui
   Li, Ruiqi
   Zhang, Yuxi
   Wang, Mingfei
   Zhang, Peng
   Wu, Aizhi
   Yu, Fucai
   Zhang, Xiaofeng
   Yang, Lin
   Cui, Yong'an
TI A research on urban disaster resilience assessment system for rainstorm
   and flood disasters: A case study of Beijing
SO PLOS ONE
LA English
DT Article
ID COMMUNITY RESILIENCE; INDEX; RISK; MANAGEMENT
AB Under the background of global climate change, rainstorm and flood disasters have become the most serious cataclysm. Under the circumstances of an increasingly severe risk situation, it is necessary to enhance urban disaster resilience. Based on the disaster resilience process of prevention, absorption, and enhancement, and considering the safety factors such as personnel, facility, environment and management, this paper forms a dual dimension of the urban disaster resilience assessment model covering the key elements of urban disaster response and the core capacity of urban disaster recovery. Furthermore, if taking into account the characteristics of rainstorm and flood disasters, the paper screens the key indicators to build up an assessment index system of an urban rainstorm and flood disaster. The practical application was implemented in Beijing to have an assessment of the ability to recover from rainstorm and flood disasters in all districts of Beijing. And then, some pertinent suggestions for enhancing the resilience of Beijing to rainstorm and flood disasters were proposed.
C1 [Yu, Shuangrui; Zhang, Peng; Wu, Aizhi; Yu, Fucai; Yang, Lin] Beijing Acad Emergency Management Sci & Technol, Beijing 101117, Peoples R China.
   [Li, Ruiqi] China Acad Urban Planning & Design, Beijing 100044, Peoples R China.
   [Zhang, Yuxi] Beijing Inst Astronaut Syst Engn, Beijing 100076, Peoples R China.
   [Wang, Mingfei] Beijing Xiaoban Technol Co, Beijing 100020, Peoples R China.
   [Zhang, Xiaofeng] Beijing Acad Sci & Technol, Inst Urban Safety & Environm Sci, Beijing 100054, Peoples R China.
   [Cui, Yong'an] Emergency Rescue Ctr Fire Brigade Dongying City, Dongying 257000, Shandong, Peoples R China.
C3 Beijing Academy of Science & Technology
RP Yu, SR (corresponding author), Beijing Acad Emergency Management Sci & Technol, Beijing 101117, Peoples R China.
EM 1353526172@qq.com
RI Li, Ruiqi/GQP-3440-2022; zhang, pengshuai/HGF-2832-2022; Zhang,
   Yuxi/ADS-1838-2022
FU Young Elite Scientists Sponsorship Program by BAST [BYESS2022044]; China
   Association for Science and Technology
FX This work is funded by the Young Elite Scientists Sponsorship Program by
   BAST (No. BYESS2022044). As the corresponding author of this paper, I'm
   also the principal investigator of this program, which is funded by
   China Association for Science and Technology. This program provided
   financial support to collect data and publish research paper for this
   work. The funders had no role in study design, data collection and
   analysis, decision to publish, or preparation of the manuscript.
CR Adnanu S, 2020, NAT HAZARDS, V103, P2989, DOI 10.1007/s11069-020-04116-3
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Aka FT, 2017, NAT HAZARDS, V86, P57, DOI 10.1007/s11069-016-2674-5
   Ali S, 2022, NAT HAZARDS, V113, P261, DOI 10.1007/s11069-022-05299-7
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2019, ISO/TC 292 Security and resilience
   [Anonymous], 2016, Rotterdam Resilience Strategy Consultation Document: Ready for the 21st Century
   Aven T, 2019, RISK ANAL, V39, P1196, DOI 10.1111/risa.13247
   Balica SF, 2012, NAT HAZARDS, V64, P73, DOI 10.1007/s11069-012-0234-1
   Beijing Water Authority, 2022, Waterlogging risk map of Beijing City
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bisht DS, 2016, NAT HAZARDS, V84, P749, DOI 10.1007/s11069-016-2455-1
   Bloomberg M.R., 2013, STRONGER MORE RESILI
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chang M, 2022, INT J DISAST RISK RE, V78, DOI 10.1016/j.ijdrr.2022.103128
   Forino G, 2015, GEOGR TIDSSKR-DEN, V115, P1, DOI 10.1080/00167223.2014.973056
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Greater London Authority, 2011, Managing climate risks and increasing resilience
   Guan WL, 2022, J LOSS PREVENT PROC, V76, DOI 10.1016/j.jlp.2022.104745
   Helderop E, 2022, NAT HAZARDS, V110, P1179, DOI 10.1007/s11069-021-04987-0
   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
   Horney J, 2016, INT J DISAST RISK RE, V17, P33, DOI 10.1016/j.ijdrr.2016.03.011
   Islam MR., 2011, ARTS FACUL J, V4, P147, DOI [10.3329/AFJ.V4I0, DOI 10.3329/afj.v4i0.12938]
   Kammouh O, 2019, ASCE-ASME J RISK U A, V5, DOI 10.1061/AJRUA6.0001004
   Labaka L, 2013, J HOMEL SECUR EMERG, V10, DOI 10.1515/jhsem-2012-0089
   Linnenluecke MK, 2012, BUS STRATEG ENVIRON, V21, P17, DOI 10.1002/bse.708
   Liu SC, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102206
   Mannakkara S., 2015, International Journal of Disaster Resilience in the Built Environment, V6, P126, DOI [10.1108/ijdrbe-06-2013-0019, DOI 10.1108/IJDRBE-06-2013-0019, 10.1108/IJDRBE-06-2013-0019]
   Mayer B, 2019, CURR ENV HLTH REP, V6, P167, DOI 10.1007/s40572-019-00239-3
   McBean G, 2010, WIRES CLIM CHANGE, V1, P871, DOI 10.1002/wcc.77
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   O'Donnell E, 2020, BLUE-GREEN SYST, V2, P28, DOI 10.2166/bgs.2019.199
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Parsons M., 2016, The Australian natural disaster resilience index: Conceptual framework and indicator approach
   Rentschler J, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30727-4
   Ryan B, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101655
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Sharifi A, 2016, INT J DISAST RISK RE, V18, P115, DOI 10.1016/j.ijdrr.2016.06.006
   Song JL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190701
   Soufi HR, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102497
   Stolzer A J., 2015, Safety management systems in aviation, VSecond Edition, P88, DOI [10.1080/00140139.2017.1343428, DOI 10.1080/00140139.2017.1343428]
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   United Nations International Strategy for Disaster Reduction, 2017, Disaster Resilience Scorecard for Cities
   van der Vegt GS, 2015, ACAD MANAGE J, V58, P971, DOI 10.5465/amj.2015.4004
   Walker B, 2004, ECOL SOC, V9
   Windle G, 2011, REV CLIN GERONTOL, V21, P152, DOI 10.1017/S0959259810000420
   Woods DD, 2015, RELIAB ENG SYST SAFE, V141, P5, DOI 10.1016/j.ress.2015.03.018
   Xu N, 2019, NAT HAZARDS, V95, P445, DOI 10.1007/s11069-018-3463-0
   Yan Chang, 2010, International Journal of Disaster Resilience in the Built Environment, V1, P65, DOI 10.1108/17595901011026481
   Zevenbergen C, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0212
   Zhang N, 2018, RISK ANAL, V38, P31, DOI 10.1111/risa.12807
NR 53
TC 4
Z9 4
U1 39
U2 114
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 26
PY 2023
VL 18
IS 10
AR e0291674
DI 10.1371/journal.pone.0291674
PG 23
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA W8MV4
UT WOS:001094123400102
PM 37883466
OA gold
DA 2025-04-22
ER

PT J
AU Wijsman, K
   Feagan, M
AF Wijsman, Katinka
   Feagan, Mathieu
TI Rethinking knowledge systems for urban resilience: Feminist and
   decolonial contributions to just transformations
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Knowledge politics; Knowledge systems; Urban resilience; Feminist
   theory; Decolonial theory; Intersectional strategy
ID POLITICAL-ECONOMY; CLIMATE-CHANGE; ADAPTATION; LESSONS; SCIENCE
AB Work in urban resilience planning recognizes the importance of knowledge diversity to understanding and acting on climate change, but falls short in adequately situating itself within ongoing historical processes that shape uneven urban playing fields in which planning happens. This paper uses insights from environmental feminist and decolonial knowledge politics to challenge knowledge systems analysis to explicitly question and alter structures of power in environmental knowledge making in North American cities. If knowledge systems analysis can investigate and intervene in governance structures through which environmental decision- and policy-making happen, this necessitates reflection on ontological, epistemological and ethical commitments (or `starting points') as these carry material and discursive weight: they open up and foreclose ways in which resilience is practiced. Given increasing recognition that urban resilience needs to consider issues of justice and equity, in this paper we take cues from feminist and decolonial scholarship that has centered these themes for decades and which offer 'starting points' to rethink knowledge systems for resilience. Understanding urbanization as key process in the expansion of relations fundamental to the production of anthropocentric climate change, we argue that changing these relations is crucial if urban resilience planning is to contribute to alternative and socially just urban futures. Against tendencies of depoliticization that solutions-oriented work can sometimes exhibit, feminist and decolonial perspectives locate knowledge-making practices squarely within struggles for social justice in the city. We propose three strategies for those working on knowledge systems for resilience to advance their practice: centering justice and transgression, reflexive research practice, and thinking historically. Ultimately, this paper shows that taking seriously critical social sciences furthers fundamentally new ideas for what transitions to urban resilience could mean.
C1 [Wijsman, Katinka] New Sch Univ, Urban Syst Lab, 79 Fifth Ave Room 1605, New York, NY 10003 USA.
   [Feagan, Mathieu] Arizona State Univ, Global Inst Sustainabil, Urban Resilience Extremes Sustainabil Resilience, Tempe, AZ 85287 USA.
C3 The New School; Arizona State University; Arizona State University-Tempe
RP Wijsman, K (corresponding author), New Sch Univ, Urban Syst Lab, 79 Fifth Ave Room 1605, New York, NY 10003 USA.
EM Katinka.wijsman@newschool.edu
FU National Science Foundation [1444755]; Direct For Social, Behav &
   Economic Scie; Division Of Behavioral and Cognitive Sci [1444755]
   Funding Source: National Science Foundation
FX We are thankful for the National Science Foundation's support for the
   Urban Resilience to Extremes Sustainability Research Network (project
   #1444755). We also want to thank audiences at Arizona State University
   and The New School, and two anonymous reviewers, for their insightful
   comments and valuable suggestions on drafts of this article.
CR Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   Angus Ian., 2016, FACING ANTHROPOCENE
   [Anonymous], SOCIAL EQUITY URBAN
   [Anonymous], POLITICAL ETHNOGRAPH
   [Anonymous], 2016, STAYING TROUBLE
   [Anonymous], WHY INDIGENOUS VOICE
   [Anonymous], ANSWER IS STILL VOIC
   [Anonymous], 2009, Social justice and city
   [Anonymous], 2014, MOHAWK INTERRUPTUS P
   [Anonymous], 2012, AM INDIAN ALASKA NAT
   [Anonymous], 2004, FEMINIST STANDPOINT
   [Anonymous], 2018, CONVERSATION 0417
   [Anonymous], 2014, ECOL SOC, DOI DOI 10.5751/ES-06457-190302
   [Anonymous], ANOR KNOWLEDGE IS
   [Anonymous], ISSUES SCI TECHN WIN
   Armstrong J., 1998, Speaking for the generations: Native writers on writing
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Brand FS, 2007, ECOL SOC, V12
   Broto VC, 2015, CURR OPIN ENV SUST, V13, P11, DOI 10.1016/j.cosust.2014.12.005
   Bullard R.D., 1994, Unequal Protection: Environmental Justice and Communities of Color
   Burke BJ, 2014, ENVIRON SOC, V5, P7, DOI 10.3167/ares.2014.050102
   Cajete G., 2000, NATIVE SCI NATURAL L
   Chandler D., 2014, Resilience: the art of governing complexity
   Choudry A., 2015, LEARNING ACTIVISM IN
   Code Lorraine, 1991, What can she know? Feminist epistemology and the construction of knowledge
   Collier S. J., 2016, LIMN
   Collier SJ, 2015, THEOR CULT SOC, V32, P19, DOI 10.1177/0263276413510050
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Davis Mike., 2006, PLANET SLUMS
   De Castro EV, 1998, J ROY ANTHROPOL INST, V4, P469, DOI 10.2307/3034157
   Descola Philippe., 2014, NATURE CULTURE
   Dhillon Jaskiron., 2017, PRAIRIE RISING INDIG
   Elmhirst R, 2011, GEOFORUM, V42, P129, DOI 10.1016/j.geoforum.2011.01.006
   Evans Brad., 2014, RESILIENT LIFE ART L
   Foster J, 2005, J URBAN DES, V10, P331, DOI 10.1080/13574800500297702
   Foucault Michel., 1980, Power/Knowledge: Selected Interviews and Other Writings, 19721979
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P90, DOI 10.1016/j.envsci.2016.01.010
   Grosfoguel R, 2007, CULT STUD, V21, P211, DOI 10.1080/09502380601162514
   Grove Kevin., 2018, Resilience
   HARAWAY D, 1988, FEMINIST STUD, V14, P575, DOI 10.2307/3178066
   Harding S., 2008, SCI FEMINISMS POSTCO
   Hayden D, 1995, POWER PLACE URBAN LA
   hooks bell, 1994, TEACHING TRANSGRESS
   Hu A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03474-8
   Hulme M, 2010, GLOBAL ENVIRON CHANG, V20, P558, DOI 10.1016/j.gloenvcha.2010.07.005
   Israel Andrei., 2013, RES ACTION POLICY AD, P33, DOI DOI 10.1007/978-94-007-5518-5_3
   Jalbert Kirk., 2017, ExtrACTION: Impacts, Engagements, and Alternative Futures
   Jasanoff S., 2004, States of Knowledge: The Co-production of Science and Social Order, DOI 10.4324/9780203413845
   LaDuke Winona., 2005, RECOVERING SACRED PO
   Lavrenz SM, 2016, TRANSPORT RES REC, P66, DOI 10.3141/2558-07
   Leach Melissa, 2010, Dynamic Sustainabilities: Technology, Environment, Social
   Lefebvre Henri., 1968, Writings on Cities
   Lipschutz Ronnie., 2004, Global Environmental Politics: Power, Perspectives, and Practice, DOI 10.4135/9781483330099
   MacGregor S., 2010, J INDIAN OCEAN REG, V6, P223, DOI [DOI 10.1080/19480881.2010.536669, 10.1080/19480881.2010.536669]
   Macgregor S, 2014, HYPATIA, V29, P617, DOI 10.1111/hypa.12065
   Malm Andreas., 2018, PROGR THIS STORM NAT
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Merchant C., 1980, The death of nature: Women, ecology, and the scientific revolution
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   Nightingale AJ, 2011, SOC NATUR RESOUR, V24, P119, DOI 10.1080/08941920903278160
   Obermeister N, 2017, ENVIRON SCI POLICY, V68, P80, DOI 10.1016/j.envsci.2016.11.010
   Peake L, 2018, ENVIRON PLANN D, V36, P374, DOI 10.1177/0263775818775198
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Plumwood Val., 2003, FEMINISM MASTERY NAT, DOI 10.4324/9780203006757
   Quijano A, 2007, CULT STUD, V21, P168, DOI 10.1080/09502380601164353
   Scoones I, 2015, PATHWAY SUSTAIN, P1
   Seager J., 2009, KVINDER KON FORSKNIN, P1121, DOI DOI 10.7146/KKF.V0I3-4.27968
   Seager J., 2012, The Women of Katrina: How Gender, Race, and Class Matter in an American Disaster, P7
   Sears Alan., 2014, The Next New Left: A History of the Future
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Simpson L., 2011, Dancing on our Turtle's Back: stories of nishaabeg re-creation, resurgence and new emergence
   Smith Andrea., 2005, Conquest: Sexual Violence and the American Indian Genocide
   Smith D., 1987, The Everyday World as Problematic. A Feminist Sociology
   Smith L.T., 1999, Alterity and transcendence
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Tschakert P, 2012, GEOGR TIDSSKR-DEN, V112, P144, DOI 10.1080/00167223.2012.741889
   Tuana Nancy., 2013, RES ACTION POLICY AD, P17, DOI [DOI 10.1007/978-94-007-5518-52, DOI 10.1007/978-94-007-5518-5]
   Walia H., 2013, UNDOING BORDER IMPER
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Webb R, 2018, AMBIO, V47, P57, DOI 10.1007/s13280-017-0934-6
   Whyte K. P., 2019, CLIMATE FUTURES REIM
   Whyte K, 2017, ENGL LANG NOTES, V55, P153, DOI 10.1215/00138282-55.1-2.153
   Wilson Shawn., 2008, RES IS CEREMONY INDI
NR 85
TC 50
Z9 53
U1 0
U2 38
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 AUG
PY 2019
VL 98
BP 70
EP 76
DI 10.1016/j.envsci.2019.04.017
PG 7
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IC6NF
UT WOS:000471088100009
DA 2025-04-22
ER

PT J
AU Knutson, D
   Irgens, MS
   Flynn, KC
   Norvilitis, JM
   Bauer, LM
   Berkessel, JB
   Cascalheira, CJ
   Cera, JL
   Choi, NY
   Cuccolo, K
   Danielson, DK
   Dascano, KN
   Edlund, JE
   Fletcher, T
   Flinn, RE
   Gosnell, CL
   Heermans, G
   Horne, M
   Howell, JL
   Hua, J
   Ijebor, EE
   Jia, F
   McGillivray, S
   Ogba, KTU
   Shane-Simpson, C
   Staples, A
   Ugwu, CF
   Wang, SC
   Yockey, A
   Zheng, Z
   Zlokovich, MS
AF Knutson, D.
   Irgens, M. S.
   Flynn, K. C.
   Norvilitis, J. M.
   Bauer, L. M.
   Berkessel, J. B.
   Cascalheira, C. J.
   Cera, J. L.
   Choi, N. -y.
   Cuccolo, K.
   Danielson, D. K.
   Dascano, K. N.
   Edlund, J. E.
   Fletcher, T.
   Flinn, R. E.
   Gosnell, C. L.
   Heermans, G.
   Horne, M.
   Howell, J. L.
   Hua, J.
   Ijebor, E. E.
   Jia, F.
   McGillivray, S.
   Ogba, K. T. U.
   Shane-Simpson, C.
   Staples, A.
   Ugwu, C. F.
   Wang, S. C.
   Yockey, A.
   Zheng, Z.
   Zlokovich, M. S.
TI Associations Between Primary Residence and Mental Health in Global
   Marginalized Populations
SO COMMUNITY MENTAL HEALTH JOURNAL
LA English
DT Article
DE Resilience; Distress; Location; Minority; Mental health
ID SATISFACTION; RESILIENCE; DISTRESS
AB Scholars suggest that marginalized people in non-urban areas experience higher distress levels and fewer psychosocial resources than in urban areas. Researchers have yet to test whether precise proximity to urban centers is associated with mental health for marginalized populations. We recruited 1733 people who reported living in 45 different countries. Participants entered their home locations and completed measures of anxiety, depression, social support, and resilience. Regression and thematic analyses were used to determine what role distance from legislative and urban centers may play in mental health when marginalized people were disaggregated. Greater distance from legislative center predicted higher anxiety and resilience. Greater distance from urban center also predicted more resilience. Thematic analyses yielded five categories (e.g., safety, connection) that further illustrated the impact of geographic location on health. Implications for community mental health are discussed including the need to better understand and further expand resilience in rural areas.
C1 [Knutson, D.] Oklahoma State Univ, 445 Willard Hall, Stillwater, OK 74078 USA.
   [Irgens, M. S.] Univ Arizona, Tucson, AZ USA.
   [Flynn, K. C.] Agr Res Serv, US Dept Agr, Washington, DC USA.
   [Norvilitis, J. M.] SUNY Buffalo, Buffalo, NY USA.
   [Bauer, L. M.] Univ Missouri, Columbia, MO USA.
   [Berkessel, J. B.] Univ Mannheim, Mannheim, Germany.
   [Cascalheira, C. J.; Cera, J. L.; Ijebor, E. E.; Wang, S. C.] New Mexico State Univ, Las Cruces, NM USA.
   [Choi, N. -y.] Dankook Univ, Yongin, South Korea.
   [Cuccolo, K.] Alma Coll, Alma, MI USA.
   [Danielson, D. K.] Univ Toronto, Toronto, ON, Canada.
   [Dascano, K. N.; Gosnell, C. L.] Pace Univ, New York, NY USA.
   [Edlund, J. E.] Rochester Inst Technol, Rochester, NY USA.
   [Fletcher, T.] West Liberty Univ, West Liberty, WV USA.
   [Flinn, R. E.] Augusta Univ, Med Coll Georgia, Augusta, GA USA.
   [Heermans, G.] Koc Univ, Istanbul, Turkiye.
   [Horne, M.] Richmond Amer Int Univ, London, England.
   [Howell, J. L.; Hua, J.] Univ Calif Merced, Merced, CA USA.
   [Jia, F.] Seton Hall Univ, S Orange, NJ USA.
   [McGillivray, S.] Weber State Univ, Ogden, UT USA.
   [Ogba, K. T. U.; Ugwu, C. F.] Univ Nigeria Nsukka, Nsukka, Nigeria.
   [Shane-Simpson, C.] Univ Wisconsin, Menomonie, WI USA.
   [Staples, A.] Weatherford Coll, Weatherford, TX USA.
   [Yockey, A.] Univ North Texas Hlth Sci Ctr, Ft Worth, TX USA.
   [Zheng, Z.] Lasell Coll, Auburndale, MA USA.
   [Zlokovich, M. S.] Psi Chi Int Honor Soc Psychol, Chattanooga, TN USA.
C3 Oklahoma State University System; Oklahoma State University -
   Stillwater; University of Arizona; United States Department of
   Agriculture (USDA); USDA Agricultural Research Service; State University
   of New York (SUNY) System; University at Buffalo, SUNY; University of
   Missouri System; University of Missouri Columbia; University of
   Mannheim; New Mexico State University; Dankook University; University of
   Toronto; Pace University; Rochester Institute of Technology; University
   System of Georgia; Augusta University; Koc University; University of
   California System; University of California Merced; Seton Hall
   University; Utah System of Higher Education; Weber State University;
   University of Nigeria; University of Wisconsin System; Weatherford
   International
RP Knutson, D (corresponding author), Oklahoma State Univ, 445 Willard Hall, Stillwater, OK 74078 USA.
EM douglas.knutson@okstate.edu
RI Norvilitis, Jill/DZX-2478-2022; Gosnell, Courtney/AAC-1209-2022; Flinn,
   Ryan/AAW-5350-2021; Cascalheira, Cory/ABA-5646-2020; Knutson,
   Douglas/W-5032-2019; Jia, Fanli/J-7368-2017
OI Norvilitis, Jill/0000-0002-5848-391X; Heermans,
   Gabriela/0000-0002-7382-388X; Flinn, Ryan/0000-0003-2802-8331; Knutson,
   Douglas/0000-0002-4905-4769; Jia, Fanli/0000-0002-7149-455X;
   Cascalheira, Cory/0000-0001-5780-3101
FU National Institutes of Health [R25GM061222]; HIV/AIDS, Substance Abuse,
   and Trauma Training Program at the University of California, Los Angeles
   [R25DA035692]; Lifespan/Brown Criminal Justice Research Training Program
   on Substance Use, HIV, and Comorbidities [R25DA037190]
FX Cory Cascalheira is supported as a RISE Fellow by the National
   Institutes of Health (R25GM061222). Ryan Flinn is sup-ported as a
   Scholar with the HIV/AIDS, Substance Abuse, and Trauma Training Program
   at the University of California, Los Angeles (R25DA035692) and as a
   Scholar with the Lifespan/Brown Criminal Justice Research Training
   Program on Substance Use, HIV, and Comorbidities (R25DA037190). The
   remaining authors have no rel-evant financial or non-financial interests
   to disclose.
CR Bailey Jane, 2021, EMERALD STUDIES DIGI, P787, DOI [10.1108/978-1- 83982- 848-520211057, DOI 10.1108/978-1-83982-848-520211057]
   Beute F, 2014, APPL PSYCHOL-HLTH WE, V6, P67, DOI 10.1111/aphw.12019
   Black W. W., 2017, Stigma and Health, V2, P229, DOI [10.1037/sah0000055, DOI 10.1037/SAH0000055, https://doi.org/10.1037/sah0000055]
   Brewis AA, 2011, CURR ANTHROPOL, V52, P269, DOI 10.1086/659309
   Campbell-Sills L, 2007, J TRAUMA STRESS, V20, P1019, DOI 10.1002/jts.20271
   Cohn TJ, 2012, J GAY LESBIAN MENT H, V16, P291, DOI 10.1080/19359705.2012.690931
   Cordes A., 2009, Klin. Diag Eval, V1, P16
   Currin JM, 2022, J GAY LESBIAN SOC SE, V34, P302, DOI 10.1080/10538720.2021.1958401
   DIENER E, 1985, J PERS ASSESS, V49, P71, DOI 10.1207/s15327752jpa4901_13
   Dong YR, 2013, SPRINGERPLUS, V2, DOI 10.1186/2193-1801-2-222
   Farmer GW, 2016, J RURAL HEALTH, V32, P321, DOI 10.1111/jrh.12161
   Flaskerud JH, 2018, ISSUES MENT HEALTH N, V39, P93, DOI 10.1080/01612840.2017.1368751
   Flores AR, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba6910
   Gardner JS, 2007, NAT HAZARDS, V41, P317, DOI 10.1007/s11069-006-9038-5
   Glaeser E.L., 2010, Agglomeration economics
   Glaesmer H, 2011, EUR J PSYCHOL ASSESS, V27, P127, DOI 10.1027/1015-5759/a000058
   Götz FM, 2018, FRONT PSYCHOL, V9, DOI 10.3389/fpsyg.2018.00517
   Harowski K, 2006, PROF PSYCHOL-RES PR, V37, P158, DOI 10.1037/0735-7028.37.2.158
   Harvey IS, 2016, J RELIG HEALTH, V55, P495, DOI 10.1007/s10943-015-0017-6
   Health Measures, 2019, BRIEF GUID PROMIS AN
   Health Measures, 2019, BRIEF GUID PROMIS DE
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Institute for Health Metrics and Evaluation, 2021, GBD RES TOOL
   Jokela M, 2015, P NATL ACAD SCI USA, V112, P725, DOI 10.1073/pnas.1415800112
   Khamis H., 2010, J APPL STAT RES, V17, P505
   Khin ET, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18147302
   Lee K, 2009, GLOB INST, P1
   Lombardo P, 2018, BMC PUBLIC HEALTH, V18, DOI 10.1186/s12889-018-5235-x
   Matsuno E, 2018, COUNS PSYCHOL, V46, P632, DOI 10.1177/0011000018787261
   Meyer I.H., 2015, Psychology of Sexual Orientation and Gender Diversity, V2, P209, DOI DOI 10.1037/SGD0000132
   Mitchell Pamela H, 2003, J Cardiopulm Rehabil, V23, P398, DOI 10.1097/00008483-200311000-00001
   Mohr J, 2000, MEAS EVAL COUNS DEV, V33, P66, DOI 10.1080/07481756.2000.12068999
   Mountrakis G., 2005, P 8 INT C GEOCOMPUTA
   Open Minds, 2020, US MENT HLTH MARK 22
   Pascoe EA, 2009, PSYCHOL BULL, V135, P531, DOI 10.1037/a0016059
   Patton M., 1990, Qualitative research and evaluation methods, V2
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Richardson M, 2018, FRONT PSYCHOL, V9, DOI 10.3389/fpsyg.2018.01500
   Sinnard Morgan T, 2016, Transgend Health, V1, P181, DOI 10.1089/trgh.2016.0020
   Swann G., 2020, CULT DIVERS ETHN MIN, V27, P408, DOI [10.1037/cdp0000412, DOI 10.1037/CDP0000412]
   Tabachnick BG., 2001, USING MULTIVARIATE S
   Waldorf B., 2015, RATIONALIZING RURAL, DOI [10.17226/21843, DOI 10.17226/21843]
   Wang CY, 2020, BRAIN BEHAV IMMUN, V87, P40, DOI 10.1016/j.bbi.2020.04.028
   Wang XL, 2022, BMC GERIATR, V22, DOI 10.1186/s12877-022-02761-w
   Warren JC, 2016, HEALTH BEHAV POLICY, V3, P43, DOI 10.14485/HBPR.3.1.5
NR 45
TC 4
Z9 4
U1 0
U2 8
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 1083
EP 1096
DI 10.1007/s10597-023-01088-z
EA JAN 2023
PG 14
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:000923071500001
PM 36695952
OA Bronze, Green Published
DA 2025-04-22
ER

PT J
AU DiValli, J
   Perkins, T
AF DiValli, Jesse
   Perkins, Tracy
TI 'They know they're not coming back': resilience through displacement in
   the riskscape of Southwest Washington, DC
SO CAMBRIDGE JOURNAL OF REGIONS ECONOMY AND SOCIETY
LA English
DT Article
DE riskscapes; urban development; social vulnerability; climate change;
   resilience; inequality
ID ENVIRONMENTAL GENTRIFICATION; URBAN; INEQUALITY; EXCLUSION; RENEWAL;
   JUSTICE; CITY
AB The lack of a strong national US strategy to respond to the threat of climate change places significant responsibility on urban areas to mitigate their risks through resilience planning. However, urban riskscapes include a complex and unequal layering of risks, with historically disadvantaged populations often bearing the brunt of many forms of cumulative risk while realising the fewest benefits from urban amenities.This article contributes to scholarship on resilience planning through an analysis of current development plans and resident perceptions in a neighbourhood in Southwest Washington, DC, by integrating insights on social inequality from the study of urban development, social capital and riskscapes.
C1 [DiValli, Jesse] Northeastern Univ, Dept Sociol & Anthropol, Boston, MA 02115 USA.
   [Perkins, Tracy] Arizona State Univ, Sch Social Transformat, Tempe, AZ 85281 USA.
C3 Northeastern University; Arizona State University; Arizona State
   University-Tempe
RP DiValli, J (corresponding author), Northeastern Univ, Dept Sociol & Anthropol, Boston, MA 02115 USA.
EM divalli.je@northeastern.edu; t.perkins@asu.edu
OI DiValli, Jesse/0000-0001-9898-2679
FU DC Oral History Collaborative [17-DCOHC-07]
FX We acknowledge with gratitude funding from the DC Oral History
   Collaborative, grant #17-DCOHC-07 to enable the collection of oral
   histories of near-Buzzard Point and other SW residents during this
   project. We thank all the residents of Southwest DC who allowed us to
   record their memories and insights. A special thank you to Rhonda
   Hamilton, Katrina Lashley, Kari Fulton, Jasper Collier, Maggie Lemere,
   Benji de la Piedra, Amanda Bonam, Parisa Norouzi and the student
   interviewers in Perkins's 2016 undergraduate Environmental Inequality
   class at Howard University. We also thank Dr Daniel Aldrich, whose
   excellent classroom instruction led to the genesis of this paper.
CR Adeola FO, 2012, HUM ECOL REV, V19, P10
   Aldrich D.P., 2012, Building Resilience: Social Capital in Post-Disaster Recovery, P1, DOI DOI 10.7208/CHICAGO/9780226012896.001.0001
   [Anonymous], 2019, Social stratification, class, race, and gender in sociological perspective, DOI 10.4324/9780429306419-102/american-apartheid-segregation-making-underclass-douglas-massey-nancy-denton
   [Anonymous], 2017, CONCORD SAUNTERER
   Argüelles L, 2017, GEOFORUM, V86, P30, DOI [10.1016/j.geofonun.2017.08.013, 10.1016/j.geoforum.2017.08.013]
   Asch C., 2017, CHOCOLATE CITY HIST
   Berg R, 2010, J ENVIRON HEALTH, V72, P28
   Borchert James., 1980, ALLEY LIFE WASHINGTO
   Brown J, 2005, J PLAN HIST, V4, P3, DOI 10.1177/1538513204272856
   Brown-Saracino J, 2017, ANNU REV SOCIOL, V43, P515, DOI 10.1146/annurev-soc-060116-053427
   Bullard R. D., 2009, RACE PLACE ENV QUALI
   Bullard RD., 2000, Dumping in Dixie: Race, Class, and Environmental Quality, V3rd
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Card J., 2018, SUSTAINABILITY REDEV
   Chamlee-Wright E., 2007, Disastrous Uncertainty: How Government DisasterPolicy Undermines Community Rebound MercatusPolicy Series
   Chaskin RJ, 2013, INT J URBAN REGIONAL, V37, P480, DOI 10.1111/j.1468-2427.2012.01158.x
   Checker M, 2011, CITY SOC, V23, P210, DOI 10.1111/j.1548-744X.2011.01063.x
   Curran W, 2012, LOCAL ENVIRON, V17, P1027, DOI 10.1080/13549839.2012.729569
   District of Columbia, 2011, COMPR PLAN NAT CAP D
   District of Columbia, 2015, SW NEIGHB SMALL AR P
   District of Columbia, 2013, CLIM READ DISTR COL
   District of Columbia, 2015, CLIM PROJ SCEN DEV C
   District of Columbia, 2019, RES DC STRAT THRIV F
   District of Columbia, 2019, SUST DC 2 0 PLAN
   DiValli J., 2019, ANN MEETINGS AM ASS
   Dooling S, 2009, INT J URBAN REGIONAL, V33, P621, DOI 10.1111/j.1468-2427.2009.00860.x
   Elliott JR, 2017, SOC FORCES, V96, P851, DOI 10.1093/sf/sox054
   Elliott JR, 2015, AM J SOCIOL, V120, P1736, DOI 10.1086/681715
   Elliott JR, 2010, SOCIOL QUART, V51, P624, DOI 10.1111/j.1533-8525.2010.01186.x
   Gathright J., 2019, WAMU 88 5
   Goetz EdwardG., 2013, New Deal Ruins: Race, Economic Justice, and Public Housing Policy
   Gould KA, 2018, CITY COMMUNITY, V17, P12, DOI 10.1111/cico.12283
   Harlan S. L., 2015, CLIMATE CHANGE SOC S, P1
   Harlan S.L., 2019, People and climate change: Vulnerability, adaptation, and social justice, P23, DOI [10.1093/oso/9780190886455.003.0002, DOI 10.1093/OSO/9780190886455.003.0002]
   Hayhoe K., 2015, Climate Change Projections for the District of Columbia
   Helmuth AS, 2019, CITY COMMUNITY, V18, P746, DOI 10.1111/cico.12428
   Hopkinson N., 2019, NY TIMES
   Howell KL, 2018, J PLAN EDUC RES, V38, P437, DOI 10.1177/0739456X17709500
   Hwang J, 2016, CITYSCAPE, V18, P9
   Hwang J, 2014, AM SOCIOL REV, V79, P726, DOI 10.1177/0003122414535774
   Hyra D.S., 2017, RACE CLASS POLITICS
   Hyra DS, 2012, URBAN AFF REV, V48, P498, DOI 10.1177/1078087411434905
   Jenerette GD, 2011, ECOL APPL, V21, P2637, DOI 10.1890/10-1493.1
   Kalkstein L., 2013, Tech. Rep. (Report DDOE ID
   Kern L, 2015, ENVIRON PLANN D, V33, P67, DOI 10.1068/d13150p
   Khare AT, 2018, HOUS POLICY DEBATE, V28, P6, DOI 10.1080/10511482.2016.1269356
   Liévanos RS, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040762
   Lindsey R., 2018, DETAILED MAPS URBAN
   MOLOTCH H, 1976, AM J SOCIOL, V82, P309, DOI 10.1086/226311
   Morello-Frosch R, 2001, URBAN AFF REV, V36, P551, DOI 10.1177/10780870122184993
   Müller-Mahn D, 2018, ERDKUNDE, V72, P197, DOI 10.3112/erdkunde.2018.02.09
   Mullenbach LE, 2020, LEISURE SCI, V42, P430, DOI 10.1080/01490400.2018.1458261
   Muller-Mahn D., 2013, SPATIAL DIMENSION RI, P22, DOI DOI 10.4324/9780203109595
   Nixon R., 2011, SLOW VIOLENCE ENV PO, DOI 10.4159/harvard.9780674061194
   Pais JF, 2008, SOC FORCES, V86, P1415, DOI 10.1353/sof.0.0047
   Pearsall H, 2016, SOCIOL RES ONLINE, V21, DOI 10.5153/sro.3979
   Pennay A, 2014, INT J DRUG POLICY, V25, P1084, DOI 10.1016/j.drugpo.2014.06.001
   Prince Sabiyha, 2014, African Americans and Gentrification in Washington, DC: Race, Class and Social Justice in the Nations Capital
   Resilient DC, 2017, WASHINGTON DC FACTSH
   Shokry G, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100539
   Summers BT, 2019, INT J URBAN REGIONAL, V43, P1085, DOI 10.1111/1468-2427.12811
   Sung H, 2015, TRANSPORT RES D-TR E, V41, P318, DOI 10.1016/j.trd.2015.09.009
   Thursz D., 1966, Where Are They Now? A Study of the Impact of Relocation on Former Residents of Southwest Washington Who Were Served in an HWC Demonstration Project
   United States Environmental Protection Agency, WASH NAV YARD
   Vale LawrenceJ., 2018, After the Projects: Public Housing Redevelopment and the Governance of the Poorest Americans
   Wetzel H. M., 2014, BUZZARD POINT DC BRI
   White-Newsome JL, 2014, INT J ENV RES PUB HE, V11, P1960, DOI 10.3390/ijerph110201960
   Wiener A., 2014, REPORT DC SHOULD RED
   Williams B, 2001, AM ANTHROPOL, V103, P409, DOI 10.1525/aa.2001.103.2.409
   Wilson S, 2008, ENVIRON JUSTICE, V1, P211, DOI 10.1089/env.2008.0506
   Zippel Claire, 2016, DC's public housing: An important resource at risk
NR 71
TC 5
Z9 7
U1 2
U2 15
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 363
EP 380
DI 10.1093/cjres/rsaa012
PG 18
WC Development Studies; Economics; Geography
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics; Geography
GA PQ0UX
UT WOS:000606267200009
DA 2025-04-22
ER

PT J
AU Chen, ER
   Zhang, HX
AF Chen, Erdong
   Zhang, Huaxin
TI The relationship between public health expenditure and urban economic
   resilience
SO FRONTIERS IN PUBLIC HEALTH
LA English
DT Article
DE public health expenditure; urban economic resilience; technological
   innovation; per capita GDP; regional heterogeneity; spatial spillover
   effects
ID TECHNOLOGICAL RESILIENCE; CARE; OUTCOMES; IMPACT; COULD
AB Achieving urban economic resilience is a critical objective for sustainable development in the face of external shocks. Public health expenditure plays a pivotal role in enhancing urban economic resilience by improving health outcomes, optimizing resource allocation, and strengthening economic capacity to withstand risks. However, the mechanisms through which public health expenditure influences resilience, as well as its regional variations, remain underexplored. This study utilizes panel data from 284 cities in China spanning from 2008 to 2021, constructing an econometric model that incorporates mediating variables such as technological innovation and per capita GDP, to assess both the direct and indirect effects of public health expenditure on urban economic resilience. Additionally, spatial econometric models are employed to further analyze the spatial spillover effects of public health expenditure. The findings reveal that public health expenditure significantly enhances urban economic resilience, with technological innovation and per capita GDP serving as key mediating pathways. Regional analysis shows that the impact is most pronounced in eastern cities, followed by central cities, while the effect in western cities is weaker and, in some cases, negative. Spatial analysis further indicates that public health expenditure has a significant positive spillover effect on neighboring cities, primarily through resource sharing and technology diffusion. This study suggests that optimizing the structure of public health expenditure, increasing infrastructure investment, supporting non-capital and resource-dependent cities, and promoting digital healthcare and regional cooperation are essential to enhancing economic resilience, fostering high-quality urban development, and advancing regional equity.
C1 [Chen, Erdong] Liaoning Univ, Sch Econ, Shenyang, Peoples R China.
   [Chen, Erdong] Guangxi Minzu Normal Univ, Fac Hist Culture & Tourism, Chongzuo, Peoples R China.
   [Zhang, Huaxin] South China Agr Univ, Sch Publ Adm, Guangzhou, Peoples R China.
C3 Liaoning University; South China Agricultural University
RP Chen, ER (corresponding author), Liaoning Univ, Sch Econ, Shenyang, Peoples R China.; Chen, ER (corresponding author), Guangxi Minzu Normal Univ, Fac Hist Culture & Tourism, Chongzuo, Peoples R China.
EM ced2001@126.com
CR Adamopoulos I, 2022, SAFETY SCI, V147, DOI 10.1016/j.ssci.2021.105592
   Anselmi L, 2015, SOC SCI MED, V130, P216, DOI 10.1016/j.socscimed.2015.02.012
   Balland PA, 2015, CAMB J REG ECON SOC, V8, P167, DOI 10.1093/cjres/rsv007
   Berger MC, 2002, APPL ECON, V34, P2105, DOI 10.1080/00036840210135665
   Boschma R., 2018, Reg Stud, V52, P887, DOI [10.1080/00343404.2018.1462652, DOI 10.1080/00343404.2018.1462652]
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bradley EH, 2016, HEALTH AFFAIR, V35, P760, DOI 10.1377/hlthaff.2015.0814
   Brown TT, 2020, HEALTH ECON, V29, P1220, DOI 10.1002/hec.4130
   Buttigieg SC, 2016, FRONT PHARMACOL, V7, DOI 10.3389/fphar.2016.00213
   Clark J, 2010, CAMB J REG ECON SOC, V3, P121, DOI 10.1093/cjres/rsp034
   Dao MQ, 2012, PROG DEV STUD, V12, P77, DOI 10.1177/146499341101200105
   Davin M, 2023, J PUBLIC ECON THEORY, V25, P1270, DOI 10.1111/jpet.12566
   Di Caro P, 2018, ANN REGIONAL SCI, V60, P235, DOI 10.1007/s00168-017-0858-x
   Giannakis E, 2020, REG STUD, V54, P1200, DOI 10.1080/00343404.2019.1698720
   Gordeev VS, 2016, J PUBLIC HEALTH-UK, V38, pE409, DOI 10.1093/pubmed/fdv166
   Guo K., 2023, China Land, V12, P2060, DOI [10.3390/land12112060, DOI 10.3390/LAND12112060]
   Huggins R, 2015, CAMB J REG ECON SOC, V8, P313, DOI 10.1093/cjres/rsu035
   Kabongo WNS, 2024, DEV SO AFR, V41, P490, DOI 10.1080/0376835X.2024.2302507
   Kim KT, 2017, EUR J PUBLIC HEALTH, V27, P397, DOI 10.1093/eurpub/ckx055
   Lee PC, 2019, IEEE T ENG MANAGE, V66, P398, DOI 10.1109/TEM.2018.2837221
   Lee S, 2023, URBAN STUD, V60, P26, DOI 10.1177/00420980211064455
   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
   McCartney G, 2019, AM J PUBLIC HEALTH, V109, pE1, DOI 10.2105/AJPH.2019.305001
   Munthe C, 2022, J MED ETHICS, V48, P38, DOI 10.1136/medethics-2021-107299
   Olu O, 2017, PAN AFR MED J, V28, DOI 10.11604/pamj.2017.28.40.12201
   Pavelea AM, 2023, REG STUD, V57, P2457, DOI 10.1080/00343404.2023.2194314
   Puerto-Casasasnovas Elena, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20032279
   Rocchetta S, 2022, J ECON GEOGR, V22, P27, DOI 10.1093/jeg/lbab001
   Samba M, 2024, SSM-POPUL HLTH, V28, DOI 10.1016/j.ssmph.2024.101714
   Sarkar M, 2017, J PUBLIC HEALTH MAN, V23, pE1, DOI 10.1097/PHH.0000000000000403
   Sensier M, 2016, SPAT ECON ANAL, V11, P128, DOI 10.1080/17421772.2016.1129435
   Shaikh M, 2019, HEALTH ECON, V28, P101, DOI 10.1002/hec.3832
   Shepard J, 2020, AM J INFECT CONTROL, V48, P255, DOI 10.1016/j.ajic.2019.08.035
   Stange KC, 2023, MILBANK Q, V101, P795, DOI 10.1111/1468-0009.12638
   Steijn MPA, 2023, J ECON GEOGR, V23, P1303, DOI 10.1093/jeg/lbad013
   Stempsey WE, 2006, THEOR MED BIOETH, V27, P227, DOI 10.1007/s11017-006-9003-z
   Su CC, 2023, HEALTHCARE-BASEL, V11, DOI 10.3390/healthcare11020159
   Terefe B, 2022, BMC PUBLIC HEALTH, V22, DOI 10.1186/s12889-022-13950-y
   Tran LD, 2017, SSM-POPUL HLTH, V3, P185, DOI 10.1016/j.ssmph.2017.01.004
   Ullah I, 2021, RISK MANAG HEALTHC P, V14, P3893, DOI 10.2147/RMHP.S316844
   Usman M, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16111967
   Zhang X., 2023, Urban Stud, V60, P789, DOI [10.1177/00420980211027409, DOI 10.1177/00420980211027409]
NR 43
TC 0
Z9 0
U1 2
U2 2
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 FEB 14
PY 2025
VL 13
AR 1550528
DI 10.3389/fpubh.2025.1550528
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 Y7B4W
UT WOS:001433630300001
PM 40027499
OA gold
DA 2025-04-22
ER

PT J
AU Wu, SL
   Wong, MS
   Di, BF
   Ding, XL
   Shi, GQ
   Chan, EHW
   Muhammad, W
AF Wu, Shaolin
   Wong, Man Sing
   Di, Baofeng
   Ding, Xiaoli
   Shi, Guoqiang
   Chan, Edwin H. W.
   Muhammad, Waqas
TI Unveiling the urban resilience in cities of China, a study on NO2
   concentrations and COVID-19 pandemic
SO ATMOSPHERIC ENVIRONMENT
LA English
DT Article
DE Public health; Urban resilience; COVID-19; Recovery pattern
ID CHANGE-POINT DETECTION; AIR-QUALITY; IMPACT; EXPERIENCE; OUTBREAK;
   SYSTEMS; TIME
AB COVID-19 can be considered as the largest public health incident since 2019, posing disturbances to the medical, economic, and social systems. Understanding different levels of city resilience to the impact of COVID-19 on sustainable urban development is therefore essential. In this paper, we analyzed the evolution of the pandemic, the recovery of urban activities and major drivers of urban resilience to COVID-19 based on urban activity patterns derived from NO 2 monitoring stations from 217 cities in China. It is observed that nearly all urban activities have been affected by the epidemic with a reduced NO 2 emission, indicating a significant decline in the intensity of urban activity. The recovery patterns of human activity among different cities show that: (1) northern cities where low -resilience cities agglomerated have been severely affected. As of April 31, 2020, 12 northern cities have not recovered to pre -epidemic levels; (2) about three-quarters of the cities went through multiple stages to return to the pre -pandemic level, which related to both pandemic stress and prevention measures; (3) about 46.04% of the cities experienced increasing activity patterns that exceeded the pre -epidemic activity level. It is also observed that urban resilience can behave quite differently driven by variations in green coverage, economic aggregate, employment security, and medical system. Our study highlights the potential of an elevated urban resilience by optimizing the urban layout, improving the quantity and quality of green space, and enhancing the medical system.
C1 [Wu, Shaolin; Wong, Man Sing; Ding, Xiaoli; Shi, Guoqiang; Chan, Edwin H. W.; Muhammad, Waqas] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.
   [Wu, Shaolin] Sichuan Univ, Coll Architecture & Environm, Chengdu 610065, Peoples R China.
   [Wong, Man Sing; Ding, Xiaoli] Hong Kong Polytech Univ, Res Inst Land & Space, Hong Kong, Peoples R China.
   [Di, Baofeng] Sichuan Univ Hong Kong Polytech Univ, Inst Disaster Management & Reconstruct, Chengdu 610207, Peoples R China.
   [Chan, Edwin H. W.] Hong Kong Polytech Univ, Res Inst Sustainable Urban Dev, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R China.
C3 Hong Kong Polytechnic University; Sichuan University; Hong Kong
   Polytechnic University; Hong Kong Polytechnic University; Hong Kong
   Polytechnic University
RP Wong, MS (corresponding author), Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.
EM Lswong@polyu.edu.hk
RI Waqas, Muhammad/E-3597-2019; ding, xiaoli/GRX-3975-2022; Chan, Edwin Hon
   Wan/D-9630-2012
OI Chan, Edwin Hon Wan/0000-0003-4841-6956
FU Hong Kong Polytechnic University; Sichuan University - Hong Kong Jockey
   Club Charitable Fund; Research Grants Council, Hong Kong, China
   [15603923, 15609421, C5062-21 GF]
FX The first author is supported by a joint PhD research scheme between the
   Hong Kong Polytechnic University and Sichuan University sponsored by the
   Hong Kong Jockey Club Charitable Fund. M.S. Wong thanks the funding
   support from the General Research Fund (Grant No. 15603923 and 15609421)
   , and the Collaborative Research Fund (Grant No. C5062-21 GF) from the
   Research Grants Council, Hong Kong, China. The authors would like to
   thank Ms. Jing Li, Ms. Xinyu Yu and Mr. Jierui Li from the Hong Kong
   Polytechnic University for professional advice.
CR 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
   Akter S, 2021, J URBAN MANAG, V10, P325, DOI 10.1016/j.jum.2021.08.003
   BAYES T, 1958, BIOMETRIKA, V45, P296
   Beirle S, 2003, ATMOS CHEM PHYS, V3, P2225, DOI 10.5194/acp-3-2225-2003
   Benesty J, 2009, SPRINGER TOP SIGN PR, V2, P1, DOI 10.1007/978-3-642-00296-0
   Beria P, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102616
   Block P, 2020, NAT HUM BEHAV, V4, P588, DOI 10.1038/s41562-020-0898-6
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Catalano M, 2016, ENVIRON SCI POLICY, V60, P69, DOI 10.1016/j.envsci.2016.03.008
   Chen LK, 2020, ARCH GERONTOL GERIAT, V89, DOI 10.1016/j.archger.2020.104124
   Chen XS, 2021, NAT HAZARDS, V106, P829, DOI 10.1007/s11069-020-04493-9
   Cheng T, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.103997
   Chua AQ, 2020, BMJ GLOB HEALTH, V5, DOI 10.1136/bmjgh-2020-003317
   Dey T, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-02776-0
   Dong HW, 2022, PROF GEOGR, V74, P254, DOI 10.1080/00330124.2021.1993281
   Duan YN, 2021, ECOL INDIC, V126, DOI 10.1016/j.ecolind.2021.107683
   Dvorsky MR, 2021, EUR CHILD ADOLES PSY, V30, P1829, DOI 10.1007/s00787-020-01583-8
   Fong MW, 2020, EMERG INFECT DIS, V26, P976, DOI 10.3201/eid2605.190995
   Gates B, 2020, NEW ENGL J MED, V382, P1677, DOI 10.1056/NEJMp2003762
   Gedikli A, 2010, J HYDROINFORM, V12, P318, DOI 10.2166/hydro.2009.084
   Goldberg DL, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL089269
   Gong HW, 2020, TIJDSCHR ECON SOC GE, V111, P497, DOI 10.1111/tesg.12447
   Guadagno L., 2020, Migrants and the COVID-19 pandemic: An initial analysis
   Haldane V, 2021, NAT MED, V27, P964, DOI 10.1038/s41591-021-01381-y
   Hananel R, 2022, CITIES, V122, DOI 10.1016/j.cities.2021.103526
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Hu XH, 2017, CHINESE GEOGR SCI, V27, P110, DOI 10.1007/s11769-015-0784-8
   Huang X, 2022, T GIS, V26, P1939, DOI 10.1111/tgis.12918
   Jin AN, 2022, COMPUT URBAN SCI, V2, DOI 10.1007/s43762-022-00060-z
   Ke X, 2022, J APPL ECONOMET, V37, P187, DOI 10.1002/jae.2871
   Khan MR, 2019, MATHEMATICS-BASEL, V7, DOI 10.3390/math7050474
   King C, 2021, CURR ISSUES TOUR, V24, P2784, DOI 10.1080/13683500.2021.1873920
   Kleinschroth F, 2020, FRONT ECOL ENVIRON, V18, P318, DOI 10.1002/fee.2230
   Kulick J, 2022, Bayesian Changepoint Detection
   Kurtenbach Ralf, 2012, Environmental Sciences Europe, V24, P21, DOI 10.1186/2190-4715-24-21
   Labib SM, 2022, SCI TOTAL ENVIRON, V833, DOI 10.1016/j.scitotenv.2022.155095
   Legido-Quigley H, 2020, LANCET PUBLIC HEALTH, V5, pE251, DOI 10.1016/S2468-2667(20)30060-8
   Li DQ, 2021, ATMOS POLLUT RES, V12, DOI 10.1016/j.apr.2021.101232
   Lin RF, 2022, ENVIRON RES, V206, DOI 10.1016/j.envres.2021.112272
   Liu HX, 2020, ENVIRON RES, V183, DOI [10.1016/j.euvres.2020.109189, 10.1016/j.envres.2020.109189]
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   Liu YX, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103206
   Martin R, 2021, REG STUD REG SCI, V8, P143, DOI 10.1080/21681376.2021.1919191
   McCartney G, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103130
   Mckee M, 2020, NAT MED, V26, P640, DOI 10.1038/s41591-020-0863-y
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Meng Y, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-91236-w
   Mishra SV, 2020, HABITAT INT, V103, DOI 10.1016/j.habitatint.2020.102230
   Naidu S, 2021, DISTANCE EDUC, V42, P1, DOI 10.1080/01587919.2021.1885092
   National Bureau of Statistics of China, 2022, China Urban Statistical Yearbook 2021
   Niculita O, 2014, PROC CIRP, V22, P115, DOI 10.1016/j.procir.2014.07.119
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Noszczyk T, 2022, LAND USE POLICY, V113, DOI 10.1016/j.landusepol.2021.105925
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Rees EM, 2020, BMC MED, V18, DOI 10.1186/s12916-020-01726-3
   Ruggieri E, 2013, INT J CLIMATOL, V33, P520, DOI 10.1002/joc.3447
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Russell AR, 2012, ATMOS CHEM PHYS, V12, P12197, DOI 10.5194/acp-12-12197-2012
   Seabold S., 2010, 9 PYTH SCI C, DOI [10.25080/Majora-92bf1922-011, DOI 10.25080/MAJORA-92BF1922-011]
   Seo JH, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11101137
   Shaddick G, 2013, ENVIRON ECOL STAT, V20, P553, DOI 10.1007/s10651-012-0234-z
   Shi P, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138890
   Smith Taylor G., 2017, pmdarima: ARIMA estimators for Python
   Stephany F, 2020, TIJDSCHR ECON SOC GE, V111, P561, DOI 10.1111/tesg.12455
   Tian CH, 2021, LAND-BASEL, V10, DOI 10.3390/land10090960
   Wang HD, 2022, LANCET, V399, P1513, DOI 10.1016/S0140-6736(21)02796-3
   Wang JE, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00061-1
   Wang MC, 2021, AIR QUAL ATMOS HLTH, V14, P591, DOI 10.1007/s11869-020-00963-y
   Weissman GE, 2020, ANN INTERN MED, V173, P21, DOI 10.7326/M20-1260
   Winchester AK, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137275
   Wong MS, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abf396
   Wu SL, 2022, J GEOGR SCI, V32, P873, DOI 10.1007/s11442-022-1976-7
   Xing XF, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2109098118
   Xiong L., 2003, Water Resour. Power, V39, P41
   Yang WY, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17249577
   Yang Y, 2021, BUILD CITIES, V2, P618, DOI 10.5334/bc.130
   Zhang YP, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph181910532
   Zoran MA, 2022, ENVIRON RES, V203, DOI 10.1016/j.envres.2021.111849
NR 79
TC 3
Z9 3
U1 10
U2 19
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1352-2310
EI 1873-2844
J9 ATMOS ENVIRON
JI Atmos. Environ.
PD JUN 1
PY 2024
VL 326
AR 120447
DI 10.1016/j.atmosenv.2024.120447
EA MAR 2024
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA PX3Q1
UT WOS:001217344300001
DA 2025-04-22
ER

PT J
AU Fonseca, JA
   Estévez-Mauriz, L
   Forgaci, C
   Björling, N
AF Fonseca, Jimeno A.
   Estevez-Mauriz, Laura
   Forgaci, Claudiu
   Bjorling, Nils
TI Spatial heterogeneity for environmental performance and resilient
   behavior in energy and transportation systems
SO COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
LA English
DT Article
DE Urban resilience; Environmental performance; Critical infrastructure;
   Decision-making; Sound environment; Spatial heterogeneity
ID URBAN FORM; NEIGHBORHOODS; NOISE
AB This paper describes an assessment of the effects of spatial heterogeneity on the future performance and resilience of an urban area. For this, indicators of environmental performance and resilience of critical infrastructures (energy and transportation systems) are explored. The approach combines established methododologies of building performance simulation, energy systems analysis, and environmental impact assessment of buildings and transportation systems. The study is centered on future urban design scenarios for an industrial neighborhood in Switzerland. For this case study, multi-functionality is proportional to the performance and resilience of critical infrastructures. Mono-functionality improves the resilience and performance of energy systems with a negative effect on that of transportation systems. Building intensity, and resource intensive users were found to play a higher role into the future performance and resilience of the area. The findings of this research could complement planning approaches of sustainable and resilient urban areas. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Fonseca, Jimeno A.] Singapore ETH Ctr, Future Cities Lab, Singapore, Singapore.
   [Fonseca, Jimeno A.] ETH, Chair Architecture & Bldg Syst, Zurich, Switzerland.
   [Estevez-Mauriz, Laura] Chalmers Univ Technol, Dept Civil & Environm Engn, Div Appl Acoust, Gothenburg, Sweden.
   [Forgaci, Claudiu] Delft Univ Technol, Dept Urbanism, Delft, Netherlands.
   [Bjorling, Nils] Chalmers Univ Technol, Dept Architecture, Gothenburg, Sweden.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich; Chalmers
   University of Technology; Delft University of Technology; Chalmers
   University of Technology
RP Fonseca, JA (corresponding author), Singapore ETH Ctr, Future Cities Lab, Singapore, Singapore.
EM fonseca@arch.ethz.ch
RI Mauriz, Laura/AAB-4065-2019; Forgaci, Claudiu/S-5206-2018
OI Forgaci, Claudiu/0000-0003-3218-5102; Estevez-Mauriz,
   Laura/0000-0002-0895-3880
FU Swiss Commission for Technology and Innovation (CTI) [2012:14607]; EU
   [290110]; Climate KIC project on "Computer Aided Support for Communities
   and City Systems towards resilient and prosperous cities"
   [ARED0004_2013-1.1-008_P017-23]
FX We would like to thank all of our colleagues from the IDEA League
   Doctoral School on Urban systems for feedback. We would also like to
   thank Han Meyer, Arno Schlueter, Jens Forssen, Wolfgang Kropp, Arjan van
   Timmeren and Catharina Dyrssen for support and supervision. This
   research was funded by the Swiss Commission for Technology and
   Innovation (CTI) under grant agreement 2012:14607, the EU 7th Framework
   Programme FP7/2007-2013 under REA grant agreement no 290110, SONORUS
   "Urban Sound Planner", and the Climate KIC project on "Computer Aided
   Support for Communities and City Systems towards resilient and
   prosperous cities" under grant ARED0004_2013-1.1-008_P017-23.
CR [Anonymous], 2004, ECOLOGY SOC, DOI DOI 10.5751/ES-00650-090205
   [Anonymous], 2009, Night noise guidelines for Europe
   [Anonymous], **NON-TRADITIONAL**
   Berglund B., 2000, WHO GUIDELINES COMMU
   Bickel P., 2006, HEATCO - Developing Harmonised European Approaches for Transport Costing and Project Assessment
   Deshkar S., 2016, URBAN DISASTERS RESI
   Duncan MJ, 2010, J URBAN HEALTH, V87, P782, DOI 10.1007/s11524-010-9488-7
   EEA, 2010, EEA Technical report No. 11/2010
   Fainstein SS, 2005, URBAN AFF REV, V41, P3, DOI 10.1177/1078087405278968
   Fonseca J. A., 2015, P CISBAT 2015, P6
   Fonseca J. A., 2016, SBE 2016 EXPANDING B, P5
   Fonseca JA, 2016, ENERG BUILDINGS, V113, P202, DOI 10.1016/j.enbuild.2015.11.055
   Fonseca JA, 2015, APPL ENERG, V142, P247, DOI 10.1016/j.apenergy.2014.12.068
   Futcher JA, 2013, BUILD ENVIRON, V62, P112, DOI 10.1016/j.buildenv.2013.01.021
   Gidlof-Gunnarsson A., 2012, P 41 INT C EXP NOIS
   Holling C., 1996, Rights to Nature, P57
   Ibáñez E, 2010, SUSTAINABLE AND RESILIENT CRITICAL INFRASTRUCTURE SYSTEMS: SIMULATION, MODELING, AND INTELLIGENT ENGINEERING, P53, DOI 10.1007/978-3-642-11405-2_2
   Ishii S, 2010, ENERG POLICY, V38, P4888, DOI 10.1016/j.enpol.2009.08.022
   Jaquemet D., 2013, SIEMENS BUILDING TEC
   Kellenberger D., 2012, AREALENTWICKLUNG 200
   Lynch K., 1984, GOOD CITY FORM
   Maibach M., 2008, Handbook on Estimation of External Cost in the Transport Sector
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Miedema H. M. E., 2007, QCITY DELIVERABLE D
   Qside, 2013, LIFE09ENVNL000423 QS
   Rahman A., 2016, Urban disasters and resilience in Asia, DOI DOI 10.1016/B978-0-12-802169-9.00003-3
   Salomons E. M., 2013, QSIDE ACTION
   Salomons EM, 2012, LANDSCAPE URBAN PLAN, V108, P2, DOI 10.1016/j.landurbplan.2012.06.017
   Schweizerischer ingenieur-und architektenverein (SIA), 2011, SIA EFF EN MERKBL 20
   Silva LT, 2014, APPL ACOUST, V76, P366, DOI 10.1016/j.apacoust.2013.07.027
   Swiss Federal Office for the Environment (FOEN), 2009, NOIS POLL SWITZ RES
   Swiss Federal Office for the Environment (FOEN), 2009, FOEN ENV STUD
   Swiss Federal Office for the Environmnet (FOEN), 2014, ROAD TRAFF GIS DAT C
   Swiss Federal Office for the Environmnet (FOEN), 2015, ENV SWITZ STAT ENV E
   Swiss Federal Railways (SBB), 2014, RAIL TRAFF LIN ALG Z
   Tang UW, 2007, ENVIRON MODELL SOFTW, V22, P1750, DOI 10.1016/j.envsoft.2007.02.003
   The Swiss Federal Council, 2015, NOIS AB ORD NAO
   van Essen H., 2011, EXTERNAL COSTS TRANS
   Vugrin ED, 2010, SUSTAINABLE AND RESILIENT CRITICAL INFRASTRUCTURE SYSTEMS: SIMULATION, MODELING, AND INTELLIGENT ENGINEERING, P77, DOI 10.1007/978-3-642-11405-2_3
   Wolfson R., 2015, Energy, Environment and Climate, Vsecond, P331
NR 40
TC 18
Z9 18
U1 1
U2 52
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0198-9715
EI 1873-7587
J9 COMPUT ENVIRON URBAN
JI Comput. Environ. Urban Syst.
PD MAR
PY 2017
VL 62
BP 136
EP 145
DI 10.1016/j.compenvurbsys.2016.11.001
PG 10
WC Computer Science, Interdisciplinary Applications; Engineering,
   Environmental; Environmental Studies; Geography; Operations Research &
   Management Science; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Computer Science; Engineering; Environmental Sciences & Ecology;
   Geography; Operations Research & Management Science; Public
   Administration
GA EK6XN
UT WOS:000394069700014
DA 2025-04-22
ER

PT J
AU Hatvani-Kovacs, G
   Bush, J
   Sharifi, E
   Boland, J
AF Hatvani-Kovacs, Gertrud
   Bush, Judy
   Sharifi, Ehsan
   Boland, John
TI Policy recommendations to increase urban heat stress resilience
SO URBAN CLIMATE
LA English
DT Article
DE Heatwaves; Urban resilience; Policy; Adaptation; Mitigation
ID HEALTH-SERVICE UTILIZATION; THERMAL COMFORT; CLIMATE-CHANGE; ENERGY USE;
   RESIDENTIAL BUILDINGS; EXTREME HEAT; IMPACT; ISLAND; RISK; VULNERABILITY
AB As the frequency and intensity of heatwaves are growing, strategies to improve our resilience are becoming more vital. Policies to increase heat stress resilience are mostly isolated across different disciplines and government departments. A holistic approach would be necessary that mitigates the numerous negative impacts of heatwaves on public health, urban infrastructure and services through adaptation to heatwaves in the realm of public health, building and construction industry, and urban planning and infrastructure.
   This paper reviews the research on heat stress adaptation measures, before presenting recommendations for a range of integrated policy measures to increase the heat stress resilience of urban populations in Australian cities. The recommended policy measures include information dissemination, incentives and disincentives, promotion, demonstration and regulations. The paper concludes by identifying directions for further research and reinforcing the multiple benefits that can result from the implementation of heat stress resilience policies and strategies.
C1 [Hatvani-Kovacs, Gertrud] Univ South Australia, Sch Informat Technol & Math Sci, Adelaide, SA, Australia.
   [Bush, Judy] Univ Melbourne, Bldg & Planning, Melbourne, Vic, Australia.
   [Sharifi, Ehsan] Univ Adelaide, Sch Architecture & Built Environm, Adelaide, SA, Australia.
   [Boland, John] Univ South Australia, Ctr Ind & Appl Math, Adelaide, SA, Australia.
C3 University of South Australia; University of Melbourne; University of
   Adelaide; University of South Australia
RP Hatvani-Kovacs, G (corresponding author), Univ South Australia, Sch Informat Technol & Math Sci, Adelaide, SA, Australia.
EM gertrud.hatvani-kovacs@mymail.unisa.edu.au; judy.bush@unimelb.edu.au;
   ehsan.sharifi@adelaide.edu.au; john.boland@unisa.edu.au
RI Sharifi, Ehsan/KCK-7717-2024; Hatvani-Kovacs, Gertrud/B-7158-2015;
   Sharifi, Ehsan/P-1402-2016; Boland, John/B-3046-2008
OI Hatvani-Kovacs, Gertrud/0000-0003-2971-0260; Sharifi,
   Ehsan/0000-0003-1309-925X; Boland, John/0000-0003-1132-7589; Bush,
   Judy/0000-0002-7847-6610
FU CRC for Low Carbon Living Ltd. - Cooperative Research Centres program;
   University of South Australia [PG 083920]
FX This research was funded by the CRC for Low Carbon Living Ltd. supported
   by the Cooperative Research Centres program, an Australian Government
   initiative, three Australian Government Research Training Program
   Scholarships and a PG 083920 (Research Themes Investment Scheme) Seed
   Funding 2017 by the University of South Australia.
CR Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Akbari H, 2015, URBAN CLIM, V14, P139, DOI 10.1016/j.uclim.2015.11.005
   Akompab DA, 2013, INT J ENV RES PUB HE, V10, P1, DOI 10.3390/ijerph10010001
   Amecke H, 2012, ENERG POLICY, V46, P4, DOI 10.1016/j.enpol.2012.01.064
   Andrews K., 1994, THESIS
   [Anonymous], 2014, CONTRIBUTION WORKING
   [Anonymous], EN EFF RAT HOUS PRIC
   [Anonymous], 4613 0 AUSTR ENV ISS
   [Anonymous], J CLEANER PRODUCTION, DOI DOI 10.1016/J.JCLEPR0.2014.12.078
   Australian Building Codes Board, 2016, NAT CONSTR COD SER
   Australian Bureau of Statistics, 2013, AUSTR SOC TRENDS 410
   Australian Bureau of Statistics, 2014, Environmental Issues: Energy Use and Conservation
   Bao JZ, 2015, INT J ENV RES PUB HE, V12, P7220, DOI 10.3390/ijerph120707220
   Baseman JG, 2013, BMC HEALTH SERV RES, V13, DOI 10.1186/1472-6963-13-295
   Bélanger D, 2015, CLIMATIC CHANGE, V132, P279, DOI 10.1007/s10584-015-1420-4
   Belusko M., 2010, AUSTRALAS J CONSTR E, V10, P48, DOI [DOI 10.5130/AJCEB.V10I1/2.1584, 10.5130/ajceb.v10i1/2.1584]
   Berry S, 2014, ENERG POLICY, V73, P127, DOI 10.1016/j.enpol.2014.05.011
   Boixo S, 2012, ENERGY, V38, P425, DOI 10.1016/j.energy.2011.11.009
   Bouchama A, 2007, ARCH INTERN MED, V167, P2170, DOI 10.1001/archinte.167.20.ira70009
   Boucher O., 2013, CLIMATE CHANGE 2013
   Carey A., 2017, AGE
   Chan NY, 2001, CLIMATE RES, V16, P133, DOI 10.3354/cr016133
   Chapman L, 2013, URBAN CLIM, V3, P7, DOI 10.1016/j.uclim.2013.04.001
   Chester L, 2011, AUST J SOC ISSUES, V46, P435, DOI 10.1002/j.1839-4655.2011.tb00228.x
   Chong J., 2009, Review of water restrictions prepared for the National Water Commission of Australia by the Institute for Sustainable Futures
   Chow WTL, 2012, PROF GEOGR, V64, P286, DOI 10.1080/00330124.2011.600225
   Coates L, 1996, P C NAT DIS RED, P49
   Coates L, 2014, ENVIRON SCI POLICY, V42, P33, DOI 10.1016/j.envsci.2014.05.003
   Cotana F, 2014, APPL ENERG, V130, P641, DOI 10.1016/j.apenergy.2014.02.065
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   Davis RE, 2003, ENVIRON HEALTH PERSP, V111, P1712, DOI 10.1289/ehp.6336
   de Dear R, 2012, HVAC&R RES, V18, P1045, DOI 10.1080/10789669.2012.736247
   Dengel A., 2012, OVERHEATING NEW HOME
   Dodoo A, 2016, ENERGY, V97, P534, DOI 10.1016/j.energy.2015.12.086
   Dowson M, 2012, ENERG POLICY, V50, P294, DOI 10.1016/j.enpol.2012.07.019
   Fan H, 2015, ENERG BUILDINGS, V105, P9, DOI 10.1016/j.enbuild.2015.07.030
   Fang J., 2015, World atlas of natural disaster risk, P69, DOI [10.1007/978-3-662-45430-55, DOI 10.1007/978-3-662-45430-55]
   Fenna A., 1998, Introduction to Australian Public Policy
   France-Presse, 2015, Guardian
   Frich P, 2002, CLIMATE RES, V19, P193, DOI 10.3354/cr019193
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Gartland L.M., 2012, Heat Islands: Understanding and Mitigating Heat in Urban Areas
   Gosling SN, 2009, CLIMATIC CHANGE, V92, P299, DOI [10.1007/s10584-008-9441-x, 10.1007/S10584-008-9441-X]
   Hall N, 2013, SUSTAINABILITY-BASEL, V5, P4561, DOI 10.3390/su5114561
   Hansen A, 2011, EPIDEMIOLOGY, V22, pS14, DOI 10.1097/01.ede.0000391699.65435.ca
   Hatvani-Kovacs G., 2015, Challenges, V6, P3, DOI DOI 10.3390/CHALLE6010003
   Hatvani-Kovacs G., 2017, URBAN HEAT STRESS RE
   Hatvani-Kovacs G., 2016, 50 YEARS LATER REVIS, P437
   Hatvani-Kovacs G, 2018, ENERG BUILDINGS, V158, P290, DOI 10.1016/j.enbuild.2017.10.025
   Hatvani-Kovacs G, 2016, PROCEDIA ENGINEER, V169, P316, DOI 10.1016/j.proeng.2016.10.039
   Hatvani-Kovacs G, 2016, SUSTAIN CITIES SOC, V26, P278, DOI 10.1016/j.scs.2016.06.019
   Hatvani-Kovacs G, 2016, SCI TOTAL ENVIRON, V571, P603, DOI 10.1016/j.scitotenv.2016.07.028
   Hatvani-Kovacs G, 2016, ECOHEALTH, V13, P100, DOI 10.1007/s10393-015-1085-5
   Hendel M, 2017, ENERG BUILDINGS, V152, P823, DOI 10.1016/j.enbuild.2016.11.063
   Huang GL, 2011, J ENVIRON MANAGE, V92, P1753, DOI 10.1016/j.jenvman.2011.02.006
   Jegasothy E, 2017, INT J BIOMETEOROL, V61, P1359, DOI 10.1007/s00484-017-1313-5
   Jenkins DP, 2013, ENERG POLICY, V56, P684, DOI 10.1016/j.enpol.2013.01.030
   Karimpour M, 2015, ENERG BUILDINGS, V87, P142, DOI 10.1016/j.enbuild.2014.10.064
   Keramitsoglou I, 2013, ENVIRON MONIT ASSESS, V185, P8239, DOI 10.1007/s10661-013-3170-y
   Kim J, 2017, ENERG BUILDINGS, V141, P274, DOI 10.1016/j.enbuild.2017.02.061
   Langlois N, 2013, J FORENSIC LEG MED, V20, P408, DOI 10.1016/j.jflm.2012.12.005
   Lao J, 2016, SAFETY SCI, V82, P228, DOI 10.1016/j.ssci.2015.09.026
   Larsen L, 2015, FRONT ECOL ENVIRON, V13, P486, DOI 10.1890/150103
   Loridan T, 2016, AUST J EMERG MANAG, V31, P31
   Loughnan ME, 2014, INT J EMERG SERV, V3, P6, DOI 10.1108/IJES-10-2012-0044
   Lowe D, 2011, INT J ENV RES PUB HE, V8, P4623, DOI 10.3390/ijerph8124623
   Maddison S.D., 2013, An Introduction to Australian Public Policy: Theory and Practice, V2, P87, DOI [10.1017/cbo9781107255920.007, DOI 10.1017/CBO9781107255920.007]
   Maller CJ, 2011, HEALTH PROMOT INT, V26, P492, DOI 10.1093/heapro/dar003
   Mavrogianni A, 2015, BUILD RES INF, V43, P316, DOI 10.1080/09613218.2015.991515
   McLeod RS, 2013, BUILD ENVIRON, V70, P189, DOI 10.1016/j.buildenv.2013.08.024
   Milan BF, 2015, CURR OPIN ENV SUST, V14, P221, DOI 10.1016/j.cosust.2015.08.002
   Miller W, 2015, SUSTAIN CITIES SOC, V19, P91, DOI 10.1016/j.scs.2015.07.004
   Mulville M, 2016, BUILD RES INF, V44, P520, DOI 10.1080/09613218.2016.1153355
   Nairn JR, 2015, INT J ENV RES PUB HE, V12, P227, DOI 10.3390/ijerph120100227
   Nikolopoulou M, 2003, ENERG BUILDINGS, V35, P95, DOI 10.1016/S0378-7788(02)00084-1
   Nitschke M, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14090992
   Oppermann E, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.468
   Osmond P., 2017, Guide to urban cooling strategies
   Ostro B, 2010, AM J EPIDEMIOL, V172, P1053, DOI 10.1093/aje/kwq231
   Patz JA, 2014, JAMA-J AM MED ASSOC, V312, P1565, DOI 10.1001/jama.2014.13186
   Peacock AD, 2010, ENERG POLICY, V38, P3277, DOI 10.1016/j.enpol.2010.01.021
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Pisello AL, 2017, ENERG BUILDINGS, V154, P217, DOI 10.1016/j.enbuild.2017.08.024
   Pisello AL, 2017, SOL ENERGY, V144, P660, DOI 10.1016/j.solener.2017.01.068
   Pisello AL, 2014, APPL ENERG, V133, P224, DOI 10.1016/j.apenergy.2014.07.049
   Pockett J., 2010, Chemeca 2010: Engineering at the Edge, P1
   Priyadarsini R, 2009, ADV BUILD ENERGY RES, V3, P261, DOI 10.3763/aber.2009.0310
   Pyrgou A, 2017, SUSTAIN CITIES SOC, V28, P187, DOI 10.1016/j.scs.2016.09.012
   Reeves J., 2010, Impacts and adaptation response of infrastructure and communities to heatwaves : the southern Australian experience of 2009
   Ren ZG, 2014, ARCHIT SCI REV, V57, P227, DOI 10.1080/00038628.2014.903568
   Roaf S, 2015, BUILD RES INF, V43, P269, DOI 10.1080/09613218.2014.998948
   Roaf S, 2010, ARCHIT SCI REV, V53, P65, DOI 10.3763/asre.2009.0111
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Ruth M, 2014, APPL GEOGR, V49, P18, DOI 10.1016/j.apgeog.2013.09.018
   Salagnac JL, 2007, BUILD RES INF, V35, P450, DOI 10.1080/09613210601056554
   Salamanca F, 2014, J GEOPHYS RES-ATMOS, V119, P5949, DOI 10.1002/2013JD021225
   Saman W., 2013, National Climate Change Adaptation Research Facility NCCARF Publication
   Sameni SMT, 2015, BUILD ENVIRON, V92, P222, DOI 10.1016/j.buildenv.2015.03.030
   Santamouris M, 2015, SCI TOTAL ENVIRON, V512, P582, DOI 10.1016/j.scitotenv.2015.01.060
   Santamouris M, 2014, ENERG BUILDINGS, V82, P100, DOI 10.1016/j.enbuild.2014.07.022
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Santamouris M, 2012, BUILD ENVIRON, V53, P128, DOI 10.1016/j.buildenv.2012.01.022
   Santamouris M, 2001, SOL ENERGY, V70, P201, DOI 10.1016/S0038-092X(00)00095-5
   Santamouris M, 2016, ENERG BUILDINGS, V128, P617, DOI 10.1016/j.enbuild.2016.07.034
   Santarnouris M, 2015, ENERG BUILDINGS, V98, P125, DOI 10.1016/j.enbuild.2014.08.050
   Scalley BD, 2015, AUST NZ J PUBL HEAL, V39, P582, DOI 10.1111/1753-6405.12421
   Schiano-Phan R, 2015, BUILDINGS, V5, P783, DOI 10.3390/buildings5030783
   Singh S, 2015, HEALTH PROMOT INT, V30, P239, DOI 10.1093/heapro/dat027
   Szalay Z., 2008, Periodica Polytechnica Architecture, V39, P41, DOI DOI 10.3311/PP.AR.2008-2.01
   Taylor J, 2015, URBAN CLIM, V14, P517, DOI 10.1016/j.uclim.2015.08.001
   Tomlinson CJ, 2011, INT J HEALTH GEOGR, V10, DOI 10.1186/1476-072X-10-42
   Torok SJ, 2001, AUST METEOROL MAG, V50, P1
   Unger J, 2001, ATMOS RES, V58, P117, DOI 10.1016/S0169-8095(01)00087-4
   Wang XM, 2010, BUILD ENVIRON, V45, P1663, DOI 10.1016/j.buildenv.2010.01.022
   Watterson I, 2007, CLIMATE CHANGE AUSTR
   White S., 2015, RP3016 ENERGYFIT HOM
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   Willand N, 2016, ENERG BUILDINGS, V113, P159, DOI 10.1016/j.enbuild.2015.12.032
   Wolf T, 2015, INT J ENV RES PUB HE, V12, P13321, DOI 10.3390/ijerph121013321
   Wrigley K, 2015, LIVING AND LEARNING: RESEARCH FOR A BETTER BUILT ENVIRONMENT, P322
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
   Zander KK, 2015, NAT CLIM CHANGE, V5, P647, DOI [10.1038/NCLIMATE2623, 10.1038/nclimate2623]
   Zhang F, 2016, BUILD ENVIRON, V103, P9, DOI 10.1016/j.buildenv.2016.03.020
NR 151
TC 41
Z9 43
U1 11
U2 115
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2018
VL 25
BP 51
EP 63
DI 10.1016/j.uclim.2018.05.001
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GP2ZY
UT WOS:000440708400005
DA 2025-04-22
ER

PT J
AU Li, QC
   Roy, M
   Mostafavi, A
   Berke, P
AF Li, Qingchun
   Roy, Malini
   Mostafavi, Ali
   Berke, Philip
TI A plan evaluation framework for examining stakeholder policy preferences
   in resilience planning and management of urban systems
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Plan-evaluation framework; Resilience planning; Urban systems;
   Stakeholder policy preferences
ID SUSTAINABLE DEVELOPMENT; CLIMATE; INFRASTRUCTURE; PARTICIPATION;
   ENGAGEMENT; CHALLENGES; MATTER; FUTURE; VALUES
AB The objective of this paper was to create and test a methodological framework for examining the extent to which various plans captured diverse stakeholder policy preferences related to resilience planning and management of interdependent urban systems. Policy preferences represent what were important for stakeholders and determine the priorities of stakeholders in resilience planning of urban systems. Stakeholders in different urban sectors may have conflicts of policy preferences in the resilience planning process. A comprehensive understanding of the extent to which plans incorporated and reflected policy preferences of different stakeholders would greatly improve the quality of resilience planning. Hence, we proposed a plan evaluation framework to examine the extent to which various plans captured diverse stakeholder policy preferences in resilience planning of interdependent infrastructure systems. We showed the application of the proposed framework in the evaluation of four plans affecting flood resilience planning in the Houston area. The proposed tool could help identify conflicted stakeholder policy preferences in planning and enable evaluation of policy consistency in networks of plans.
C1 [Li, Qingchun; Mostafavi, Ali] Texas A&M Univ, Zachry Dept Civil & Environm Engn, Urban Resilience AI Lab, 199 Spence St, College Stn, TX 77840 USA.
   [Roy, Malini] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, 199 Spence St, College Stn, TX 77840 USA.
   [Berke, Philip] Univ N Carolina, Dept City & Reg Planning, CB 3140, Chapel Hill, NC 27599 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 North Carolina; University of North Carolina Chapel Hill
RP Li, QC (corresponding author), Texas A&M Univ, Zachry Dept Civil & Environm Engn, Urban Resilience AI Lab, 199 Spence St, College Stn, TX 77840 USA.
EM qingchunlea@tamu.edu; mr956@tamu.edu; amostafavi@civil.tamu.edu;
   pberke@email.unc.edu
RI Roy, Malini/GXN-3793-2022; Mostafavi, Ali/R-2133-2018
OI Roy, Malini/0000-0002-9438-3000; Li, Qingchun/0000-0003-0769-0238
FU National Science Foundation [1760258, 1832662]; National Sea Grant
   Office, National Oceanic and Atmospheric Administration, U.S. Department
   of Commerce [NA18OAR4170088]
FX The authors would like to acknowledge funding supports from the National
   Science Foundation RAPID project #(1760258): RAPID: "Assessment of Risks
   and Vulnerability in Coupled Human-Physical Networks of Houston's Flood
   Protection, Emergency Response, and Transportation Infrastructure in
   Harvey." CRISP 2.0 project #(1832662): "Anatomy of Coupled
   Human-Infrastructure Systems Resilience to Urban Flooding: Integrated
   Assessment of Social, Institutional, and Physical Networks". Publication
   supported in part by an Institutional Grant (NA18OAR4170088) to the
   Texas Sea Grant College Program from the National Sea Grant Office,
   National Oceanic and Atmospheric Administration, U.S. Department of
   Commerce. Any opinions, findings, and conclusions, or recommendations
   expressed in this research are those of the authors and do not
   necessarily reflect the view of the funding agency.
CR [Anonymous], 2017, FED BRIEF
   [Anonymous], 2012, Diabetes Leadership Initiative, P1
   Baer WC, 1997, J AM PLANN ASSOC, V63, P329, DOI 10.1080/01944369708975926
   Bahadorestani A, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118402
   Barima OKB, 2010, INT J PROJ MANAG, V28, P195, DOI 10.1016/j.ijproman.2009.05.009
   Beatley T, 2012, COASTAL RESILIENCE B
   Berke P., 2009, Sustainable development and disaster resiliency, P1, DOI DOI 10.3233/978-1-60750-046-9-1)
   Berke P, 2015, J AM PLANN ASSOC, V81, P287, DOI 10.1080/01944363.2015.1093954
   Berke PR, 2019, J ENVIRON PLANN MAN, V62, P901, DOI 10.1080/09640568.2018.1453354
   Berke PR, 2000, J AM PLANN ASSOC, V66, P21, DOI 10.1080/01944360008976081
   Biesenthal C, 2018, INT J PROJ MANAG, V36, P43, DOI 10.1016/j.ijproman.2017.06.006
   Binkovitz L., 2020, MODERN MOBILITY
   Blackburn J, 2020, WATERS EDGE
   Blackburn James B, 2017, TEXAN PLAN TEXAS COA, V31
   Boburg S, 2017, WASH POST, P29
   Brody S., 2009, BUILD ENVIRON, V35, P492, DOI DOI 10.2148/BENV.35.4.492
   Brody S, 2013, URBAN STUD, V50, P789, DOI 10.1177/0042098012448551
   Brody SD, 2003, POPUL ENVIRON, V24, P511, DOI 10.1023/A:1025078715216
   Burby R.J., 1998, NATURAL HAZARDS DISA, Vviii
   Burby RJ, 2003, J AM PLANN ASSOC, V69, P33, DOI 10.1080/01944360308976292
   Burby RJ, 1999, J AM PLANN ASSOC, V65, P247, DOI 10.1080/01944369908976055
   Bush G.P., 2019, TEXAS COASTAL RESILI
   Campa H, 2011, WILDLIFE SOC B, V35, P168, DOI 10.1002/wsb.52
   Campbell S, 1996, J AM PLANN ASSOC, V62, P296, DOI 10.1080/01944369608975696
   Coates T, 2019, ENVIRON SCI POLICY, V101, P24, DOI 10.1016/j.envsci.2019.07.005
   Davis CA, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000303
   Davlasheridze M, 2019, MITIG ADAPT STRAT GL, V24, P329, DOI 10.1007/s11027-018-9814-z
   Dong SJ, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000839
   Dyckman CS, 2018, ENVIRON SCI POLICY, V89, P126, DOI 10.1016/j.envsci.2018.06.008
   El-Gohary N.M, 2010, P ASCE INT C COMP CI
   Endter-Wada J, 2020, ENVIRON SCI POLICY, V108, P37, DOI 10.1016/j.envsci.2020.01.016
   Farahmand H, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101515
   Finn D, 2007, LANDSCAPE URBAN PLAN, V81, P132, DOI 10.1016/j.landurbplan.2006.11.006
   Forester J, 2013, CRITICAL THEORY PUBL
   Freeman R.B., 2010, Shared Capitalism at work, DOI [10.1017/CBO9780511815768, DOI 10.1017/CBO9780511815768, 10.1017/CBO9781139192675.003]
   Fulton W, 2020, Z WORD
   Godschalk D.R., 1999, 480481 APA PLAN ADV, P57
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Godschalk DR, 2004, J AM PLANN ASSOC, V70, P5, DOI 10.1080/01944360408976334
   Graversgaard M, 2017, WATER-SUI, V9, DOI 10.3390/w9030191
   Habib S.B, 1979, TELOS, V1979, P177
   Healey Patsy., 1992, TOWN PLAN REV, V63, P143, DOI [10.3828/tpr.63.2.422x602303814821, DOI 10.3828/TPR.63.2.422X602303814821]
   Hopkins LD, 2018, PLAN THEOR, V17, P274, DOI 10.1177/1473095216669868
   Innes JE., 2004, Planning Theory Practice, V5, P419, DOI [DOI 10.1080/1464935042000293170, 10.1080/1464935042000293170]
   Jahani Hamid, 2012, Proceedings of the 2012 Construction Research Congress, P797
   Johnson TL, 2013, ENVIRON MANAGE, V51, P339, DOI 10.1007/s00267-012-9884-8
   Li QC, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000376
   Li QC, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0224522
   Lyles LW, 2014, J ENVIRON PLANN MAN, V57, P792, DOI 10.1080/09640568.2013.768973
   Lyles W, 2014, LANDSCAPE URBAN PLAN, V122, P89, DOI 10.1016/j.landurbplan.2013.11.010
   Mannarini T, 2013, COMMUNITY DEV, V44, P239, DOI 10.1080/15575330.2012.683799
   Masterson J.H., 2014, Planning for community resilience: A handbook for reducing vulnerability to disasters, V3rd ed.
   Matinheikki J, 2019, INT J PROJ MANAG, V37, P298, DOI 10.1016/j.ijproman.2018.07.004
   Morrissey J., 2000, Community Development Journal, V35, P59, DOI 10.1093/cdj/35.1.59
   Naderpajouh Nader, 2018, Environment Systems & Decisions, V38, P306, DOI 10.1007/s10669-018-9704-7
   Neuman M, 2010, J PLAN HIST, V9, P21, DOI 10.1177/1538513209355373
   Nutters HM, 2012, OCEAN COAST MANAGE, V67, P9, DOI 10.1016/j.ocecoaman.2012.05.020
   Patterson T, 2017, THE CNN
   Qian Z, 2010, CITIES, V27, P31, DOI 10.1016/j.cities.2009.11.006
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Ros M, 1999, APPL PSYCHOL-INT REV, V48, P49, DOI 10.1111/j.1464-0597.1999.tb00048.x
   Sandercock L, 2017, CONT MOVEMENTS PLANN, V3, P413
   Schrock G, 2015, J PLAN EDUC RES, V35, P282, DOI 10.1177/0739456X15580022
   Schwartz S.H., 2012, ONLINE READINGS PSYC, V2, DOI DOI 10.9707/2307-0919.1116
   Shelton Kyle., 2017, POWER MOVES TRANSPOR
   Srivastava P, 2018, INFRASTRUCTURES-BASE, V3, DOI 10.3390/infrastructures3040051
   Taeby M., 2018, CCREM 2018 CONSTRUCT, P10, DOI [10.1061/9780784481752.002, DOI 10.1061/9780784481752.002]
   Taeby M, 2019, NAT HAZARDS REV, V20, DOI 10.1061/(ASCE)NH.1527-6996.0000319
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Watson R, 2018, J PROD INNOVAT MANAG, V35, P254, DOI 10.1111/jpim.12394
   Wiesmeth H, 2020, J BUS RES, V119, P310, DOI 10.1016/j.jbusres.2018.12.054
   Willigers B.J.A, 2009, SPE EC MANAG, V1, P19
   Woodruff Sierra C., 2016, Nature Climate Change, V6, P796, DOI 10.1038/nclimate3012
   Woodruff SC, 2019, MITIG ADAPT STRAT GL, V24, P53, DOI 10.1007/s11027-018-9794-z
   Zhang W, 2018, NATURE, V563, P384, DOI 10.1038/s41586-018-0676-z
NR 76
TC 12
Z9 13
U1 7
U2 61
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 OCT
PY 2021
VL 124
BP 125
EP 134
DI 10.1016/j.envsci.2021.06.015
EA JUN 2021
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UK2DP
UT WOS:000691785800013
OA Bronze
DA 2025-04-22
ER

PT J
AU Liu, NA
   Wang, SQ
   Su, F
   Ye, J
AF Liu, Nina
   Wang, Shuqi
   Su, Fei
   Ye, Jun
TI Research on Coupling Coordination of China's New-Type Urbanization and
   Urban Resilience-Taking Yangtze River Economic Belt as an Example
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; new urbanization; spatial analysis; coupling
   coordination; geodetectors; driving factors; Yangtze River Economic Belt
ID PHYSICAL INFRASTRUCTURE; TRANSITION; ENERGY; CITY; CONSUMPTION;
   MITIGATION
AB The coupled and coordinated development of urban resilience and new urbanization is an important guarantee for the realization of urban security and sustainable development. This paper first constructs an evaluation index of urban resilience and new urbanization and uses the entropy method to clarify the weights. Second, the coupling coordination degree model is used to measure the spatiotemporal differentiation characteristics of the coupling coordinated development of urban resilience and new urbanization in the Yangtze River Economic Belt from 2005 to 2019. The key influencing factors of the coupling coordination are analyzed using geodetectors. The results show the following. (1) The urban resilience of the Yangtze River Economic Belt has continued to improve, showing a stepwise distribution pattern of "high in the east and low in the west" in space. The overall development of new urbanization is at a medium-high level, with high levels concentrated in the eastern coastal cities. (2) The degree of spatial coupling and coordination between urban resilience and new urbanization is increasing year by year, and there is significant spatial heterogeneity, showing the pattern of "high in the east and low in the west, high in the center and low in the surrounding areas", and the type of lag is mostly urban resilience lag in new urbanization. (3) Endogenous power, external power, government power and market power interact to jointly promote the development of coupling coordination. The comprehensive effect of government power and other driving forces is the key mechanism for improving spatial coupling coordination.
C1 [Liu, Nina; Wang, Shuqi; Su, Fei; Ye, Jun] Zhejiang Gongshang Univ, Dept Urban & Rural Planning, Hangzhou 310058, Peoples R China.
C3 Zhejiang Gongshang University
RP Su, F; Ye, J (corresponding author), Zhejiang Gongshang Univ, Dept Urban & Rural Planning, Hangzhou 310058, Peoples R China.
EM suf910@163.com; yejun0070@126.com
RI Ye, Jun/W-8663-2019
OI Wang, Shuqi/0000-0002-1295-6857
CR Alliance R, 2007, Urban Resilience Research Prospectus
   Alqurashi AF, 2019, GEOCARTO INT, V34, P78, DOI 10.1080/10106049.2017.1367423
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Asadzadeh A, 2022, CITIES, V125, DOI 10.1016/j.cities.2022.103642
   Azam M, 2022, ENVIRON DEV SUSTAIN, V24, P13990, DOI 10.1007/s10668-021-02019-2
   Bai L., 2018, URBAN ARCHIT, V35, P19
   Balletto G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142214995
   Bogdanski M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094861
   Botequilha-Leitao A, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102089
   Chauvin JP, 2017, J URBAN ECON, V98, P17, DOI 10.1016/j.jue.2016.05.003
   Comer A, 2016, P I CIVIL ENG-CIV EN, V169, P53, DOI 10.1680/jcien.2016.169.2.53
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   Martins MCD, 2019, TRANSPORT RES D-TR E, V77, P352, DOI 10.1016/j.trd.2019.01.004
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Delbecque N, 2022, GEODERMA, V413, DOI 10.1016/j.geoderma.2022.115719
   Dewan AM, 2009, APPL GEOGR, V29, P390, DOI 10.1016/j.apgeog.2008.12.005
   Dianat H, 2022, INT J DISAST RISK RE, V71, DOI 10.1016/j.ijdrr.2022.102789
   Egidi G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020533
   Feagan M, 2019, ENVIRON SCI POLICY, V101, P358, DOI 10.1016/j.envsci.2019.07.014
   Galderisi A., 2020, City Territ Archit, V7, P16, DOI DOI 10.1186/S40410-020-00123-W
   Gao YP, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244024
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Guan XL, 2018, HABITAT INT, V71, P97, DOI 10.1016/j.habitatint.2017.11.009
   Guidotti R, 2019, RELIAB ENG SYST SAFE, V185, P476, DOI 10.1016/j.ress.2019.01.008
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong T, 2022, MATH PROBL ENG, V2022, DOI 10.1155/2022/7339005
   Huo BN, 2019, CLUSTER COMPUT, V22, pS6827, DOI 10.1007/s10586-018-2697-7
   Islam MM, 2022, RENEW ENERG, V184, P1130, DOI 10.1016/j.renene.2021.12.020
   Jiboye A.D., 2011, Journal of Sustainable Development, V4, P211, DOI DOI 10.5539/JSD.V4N6P211
   Jose M.M., 2022, ATMOSPHERE-BASEL, V13, P785
   Kantakumar LN, 2016, HABITAT INT, V51, P11, DOI 10.1016/j.habitatint.2015.10.007
   Kocabas A, 2013, HABITAT INT, V37, P80, DOI 10.1016/j.habitatint.2011.12.016
   Lafortezza R, 2019, ENVIRON RES, V172, P394, DOI 10.1016/j.envres.2018.12.063
   Lambin EF, 2011, P NATL ACAD SCI USA, V108, P3465, DOI 10.1073/pnas.1100480108
   Ma F, 2019, SYMMETRY-BASEL, V11, DOI 10.3390/sym11020192
   Maarten B., 2016, REG SCI URBAN ECON, V71, P1
   Mahmood H, 2020, ENERGY REP, V6, P1553, DOI 10.1016/j.egyr.2020.06.004
   Maparu TS, 2017, TRANSPORT RES A-POL, V100, P319, DOI 10.1016/j.tra.2017.04.033
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mera AP, 2020, TRANSPORTATION, V47, P1809, DOI 10.1007/s11116-019-09984-8
   Mitchell D, 2021, LAND-BASEL, V10, DOI 10.3390/land10060563
   Motesharrei S, 2016, NATL SCI REV, V3, P470, DOI 10.1093/nsr/nww081
   Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001
   Parrish DD, 2009, SCIENCE, V326, P674, DOI 10.1126/science.1176064
   Rafiq S, 2016, ENERG ECON, V56, P20, DOI 10.1016/j.eneco.2016.02.007
   Rayan M, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100899
   Sharma A, 2022, ACTA GEOPHYS, V70, P243, DOI 10.1007/s11600-021-00715-1
   Sharma M, 2023, NAT HAZARDS REV, V24, DOI 10.1061/NHREFO.NHENG-1523
   Sher K., 2022, J ENVIRON STUD SCI, P11
   Solecki W, 2015, URBAN CLIM, V14, P116, DOI 10.1016/j.uclim.2015.07.001
   Song M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124671
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Spangenberg JH, 2011, ENVIRON CONSERV, V38, P275, DOI 10.1017/S0376892911000270
   Sununta N, 2019, J CLEAN PROD, V228, P1345, DOI 10.1016/j.jclepro.2019.03.297
   Susie M., 2021, CITIES, V110
   Tayyab M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13101864
   Tonne C, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106236
   Tripathi S, 2018, INT J URBAN SCI, V22, P123, DOI 10.1080/12265934.2017.1361858
   Valdes H.Molin., 2012, How to make cities more resilient: A handbook for local government leaders
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wu XX, 2022, INT REV ECON FINANC, V77, P312, DOI 10.1016/j.iref.2021.10.002
   Xiong YN, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14105889
   Yang W., 2016, EC HORIZ, V18, P197
   Yu R.L., 2020, COMPUT ENVIRON URBAN, V77, P101
   Zeng J., 2021, ECOLOGICAL EC, V37, P100
   Zhang F, 2022, ENVIRON DEV SUSTAIN, V24, P8008, DOI 10.1007/s10668-021-01771-9
   Zhang Y.Q., 2022, Urban Probl, V41, P17
NR 67
TC 10
Z9 10
U1 15
U2 109
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2023
VL 15
IS 1
AR 456
DI 10.3390/su15010456
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 7P7GP
UT WOS:000908869700001
OA gold
DA 2025-04-22
ER

PT J
AU Wang, MM
   Fang, YT
   Sweetapple, C
AF Wang, Mingming
   Fang, Yuting
   Sweetapple, Chris
TI Assessing flood resilience of urban drainage system based on a
   ?do-nothing? benchmark
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Surface flooding; Resilience; System performance; Distributed storage
   tanks; Urban drainage system
AB To deal with the threat of urban flooding, it is necessary to assess the flood resilience of urban drainage systems at the planning and design stage. This study proposes a system resilience assessment methodology based on a ?donothing? benchmark. In this new benchmark, the number of flooded nodes used in computation of mean flood duration in the system is that observed under a ?do-nothing? scenario (i.e. with no intervention), irrespective of the scenario under evaluation. This methodology is demonstrated using a case study in Chizhou city, China, a simple stormwater drainage network with seven subcatchments. Schemes of interventions (with distributed storage tanks) that aim to mitigate flooding are then produced by zero-one integer programming and schemes sampling. The results show that the proposed method can compute the mean flood duration and system resilience reasonably and helps identify effective intervention schemes. Compared with traditional methods, this resilience assessment method based on a ?do-nothing? scenario can correctly indicate the change in trend of system resilience provided by different schemes, and aids understanding of different interventions to improve system resilience to urban flooding. This study also provides a new way to test different interventions and to explore which provide the greatest improvement in system resilience.
C1 [Wang, Mingming; Fang, Yuting] Anhui Univ Technol, Sch Civil Engn & Architecture, Maanshan 243032, Peoples R China.
   [Wang, Mingming; Fang, Yuting] Anhui Univ Technol, Minist Educ, Engn Res Ctr Biomembrane Water Purificat & Utiliz, Maanshan 243032, Anhui, Peoples R China.
   [Sweetapple, Chris] Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, North Pk Rd, Exeter EX4 4QF, Devon, England.
C3 Anhui University of Technology; Anhui University of Technology;
   University of Exeter
RP Wang, MM (corresponding author), Anhui Univ Technol, Sch Architectural & Civil Engn, Maxiang Rd, Maanshan 243032, Anhui, Peoples R China.
EM wangmm@ahut.edu.cn
RI Sweetapple, Chris/GQQ-1426-2022; Wang, Mingming/AAM-7827-2021
OI Wang, Mingming/0000-0001-8849-3521
FU National Natural Science Foundation of China [51208001]; Key Project of
   Support Program for Outstanding Young Talents at Universities in Anhui
   Province, China [gxyqZD2019022]
FX This research was funded by the National Natural Science Foundation of
   China (Grant No. 51208001) and the Key Project of Support Program for
   Outstanding Young Talents at Universities in Anhui Province, China
   (Grant No. gxyqZD2019022) awarded to the first author.
CR Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D., 2018, Urban Drainage
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Pitt M., 2008, Learning lessons from the 2007 floods, P505
   Sweetapple C, 2018, WATER SCI TECHNOL, V77, P1757, DOI 10.2166/wst.2018.070
   Wang MM, 2019, J ENVIRON MANAGE, V238, P59, DOI 10.1016/j.jenvman.2019.02.129
   Wang MM, 2017, J ENVIRON MANAGE, V204, P31, DOI 10.1016/j.jenvman.2017.08.024
   Wang MM, 2017, J ENVIRON MANAGE, V201, P145, DOI 10.1016/j.jenvman.2017.06.034
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Yin J, 2016, SCI TOTAL ENVIRON, V544, P744, DOI 10.1016/j.scitotenv.2015.11.159
NR 13
TC 25
Z9 26
U1 5
U2 96
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 JUN 15
PY 2021
VL 288
AR 112472
DI 10.1016/j.jenvman.2021.112472
EA APR 2021
PG 4
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA RS2XP
UT WOS:000643645000002
PM 33823444
DA 2025-04-22
ER

PT J
AU Mao, YY
   Li, Y
   Bai, XL
   Yang, XL
   Han, YT
   Fu, X
AF Mao, Yuyang
   Li, Yu
   Bai, Xinlu
   Yang, Xiaolu
   Han, Youting
   Fu, Xin
TI Scenario-Based Green Infrastructure Installations for Building Urban
   Stormwater Resilience-A Case Study of Fengxi New City, China
SO SUSTAINABILITY
LA English
DT Article
DE resilience; green infrastructure; sponge city; SWMM
ID SYSTEMS; MANAGEMENT; IMPLEMENTATION; CONSTRUCTION; PERFORMANCE;
   FRAMEWORK; DRAINAGE; SUPPORT
AB Global climate change has precipitated a surge in urban flooding challenges, prompting the imperative role of green infrastructure (GI) as the linchpin of sponge city construction to enhance urban sustainability and resilience. But the evaluation of urban stormwater resilience faces challenges due to the lack of a comprehensive evaluation framework taking the intrinsic features of the resilience system into account and the insufficient coverage of alternative scenarios' performance under multiple rainfall return periods. This study, focusing on Fengxi New City, China, evaluates the suitability of GI (i.e., green roofs, rain gardens, and permeable pavements) and constructs a stormwater management model (SWMM) for urban stormwater hydrological simulation. This study also establishes a comprehensive urban stormwater resilience evaluation system and uses quantitative methods to unify the performances of scenarios under different rainfall return periods. Our analytical findings elucidate that the suitability of GI is predominantly concentrated in the northern and western areas of the study area, with the smallest suitable area observed for permeable pavements. Divergent GIs exhibit disparate performances, with rain gardens emerging as particularly efficacious. Importantly, the combination of multiple GIs yields a synergistic enhancement in resilience, underscoring the strategic advantage of adopting a diverse and integrated approach to GI implementation. This study facilitates a deeper understanding of urban stormwater resilience and assists in informed planning decisions for GI and sponge cities.
C1 [Mao, Yuyang; Li, Yu; Bai, Xinlu; Yang, Xiaolu; Han, Youting; Fu, Xin] Northwest A&F Univ, Coll Landscape Architecture & Arts, Xianyang 712100, Peoples R China.
C3 Northwest A&F University - China
RP Fu, X (corresponding author), Northwest A&F Univ, Coll Landscape Architecture & Arts, Xianyang 712100, Peoples R China.
EM mao_yuyang@nwafu.edu.cn; 2443573054@nwafu.edu.cn;
   2021051593@nwafu.edu.cn; 492954426@nwafu.edu.cn; hytaaa@nwafu.edu.cn;
   fuxinuc@outlook.com
OI Fu, Xin/0000-0001-6155-0549
FU Northwest A&F University, China
FX In addition, we would like to thank Yutong Da and Huiting Deng, who are
   students at the College of Landscape Architecture and Arts, Northwest
   A&F University, for their contributions to the collection of land use
   data in the early stages of this study.
CR Anker Y, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101704
   [Anonymous], 2015, Principles for Building Resilience: Sustaining Ecosystem Services in Social-Ecological Systems, DOI 10.1017/CBO9781316014240
   [Anonymous], 2021, GB/50014-2021
   Apud A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229683
   Asghari F, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151411151
   Bai YR, 2019, WATER-SUI, V11, DOI 10.3390/w11020341
   Berndtsson R, 2019, J ENVIRON MANAGE, V240, P47, DOI 10.1016/j.jenvman.2019.03.094
   Brom P, 2023, LAND-BASEL, V12, DOI 10.3390/land12020415
   [蔡玫 Cai Mei], 2021, [中国安全科学学报, China Safety Science Journal（CSSJ）], V31, P9
   Cao FF, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110643
   Chang YS, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12877
   Chen Y, 2021, EUR J REMOTE SENS, V54, P77, DOI 10.1080/22797254.2020.1758962
   Chuang WK, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160201
   Darnthamrongkul W, 2021, J ENVIRON MANAGE, V300, DOI 10.1016/j.jenvman.2021.113716
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   de Bruijn K, 2017, ENVIRON SCI POLICY, V70, P21, DOI 10.1016/j.envsci.2017.02.001
   Dell T, 2021, WATER-SUI, V13, DOI 10.3390/w13121644
   Dong S., 2011, Urban Dev. Stud, V18, P37
   Fu X, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125146
   Fu X, 2019, J ENVIRON MANAGE, V236, P571, DOI 10.1016/j.jenvman.2018.12.089
   Gao JY, 2021, ECOHYDROL HYDROBIOL, V21, P13, DOI 10.1016/j.ecohyd.2020.09.003
   Gruwald L, 2017, URBAN FOR URBAN GREE, V22, P54, DOI 10.1016/j.ufug.2017.01.001
   Guan X, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.127022
   Guptha GC, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101075
   Habtemariam LW, 2019, SUSTAIN CITIES SOC, V46, DOI 10.1016/j.scs.2018.12.006
   Haghbin S, 2023, J ENVIRON MANAGE, V339, DOI 10.1016/j.jenvman.2023.117799
   He L, 2022, ENVIRON RES, V206, DOI 10.1016/j.envres.2021.112630
   Huang JJ, 2022, J ENVIRON MANAGE, V309, DOI 10.1016/j.jenvman.2022.114700
   Ishizaka A, 2018, EUR J OPER RES, V264, P462, DOI 10.1016/j.ejor.2017.05.041
   Jaiswal RK, 2014, WATER RESOUR MANAG, V28, P475, DOI 10.1007/s11269-013-0494-x
   Jiang HY, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151411255
   Khadka A, 2021, J HYDROL, V602, DOI 10.1016/j.jhydrol.2021.126768
   Lee H, 2021, LANDSC ECOL ENG, V17, P427, DOI 10.1007/s11355-021-00458-7
   Li DZ, 2022, ENVIRON SCI POLLUT R, V29, P46306, DOI 10.1007/s11356-022-19142-w
   Li JK, 2023, ENVIRON SCI POLLUT R, V30, P62051, DOI 10.1007/s11356-023-26357-y
   Li JK, 2018, WATER RESOUR MANAG, V32, DOI 10.1007/s11269-018-1990-9
   Li Q, 2019, J ENVIRON MANAGE, V231, P10, DOI 10.1016/j.jenvman.2018.10.024
   Li Y., 2021, Water Wastewater Eng, V57, P475, DOI [10.13789/j.cnki.wwe1964.2021.S1.097, DOI 10.13789/J.CNKI.WWE1964.2021.S1.097]
   Liang CM, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106810
   [刘兴坡 Liu Xingpo], 2009, [给水排水, Water & Wastewater Engineering], V35, P213
   Liu ZJ, 2022, WATER-SUI, V14, DOI 10.3390/w14111765
   Lu G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413942
   Lu PJ, 2023, LANDSCAPE URBAN PLAN, V238, DOI 10.1016/j.landurbplan.2023.104804
   Ma YC, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.139078
   Rodriguez-Espinos VM, 2020, LANDSCAPE RES, V45, P26, DOI 10.1080/01426397.2019.1569221
   Mayes WM, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141693
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Mertens E, 2022, LAND-BASEL, V11, DOI 10.3390/land11010089
   Ministry of Housing and Urban-Rural Development (MOHURD), 2018, Technical Guidelines for the Construction of Sponge Cities
   Mugume SN, 2017, URBAN WATER J, V14, P727, DOI 10.1080/1573062X.2016.1253754
   Nieuwenhuijsen MJ, 2021, ANNU REV PUBL HEALTH, V42, P317, DOI 10.1146/annurev-publhealth-090419-102511
   Park K, 2021, ENVIRON ENG RES, V26, DOI 10.4491/eer.2019.529
   Qiao XJ, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101963
   Rabori AM, 2018, WATER ENVIRON RES, V90, P2075, DOI 10.2175/106143017X15131012188213
   Rahmati O, 2016, WATER RESOUR MANAG, V30, P1131, DOI 10.1007/s11269-015-1215-4
   Ren YZ, 2023, WATER-SUI, V15, DOI 10.3390/w15183319
   Saaty T.L., 2008, INT J SERV SCI, V1, P83, DOI [10.1504/IJSSCI.2008.017590, DOI 10.1504/IJSSCI.2008.017590]
   [尚蕊玲 Shang Ruiling], 2016, [中国给水排水, China Water & Wastewater], V32, P141
   Shen T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166679
   Tansar H, 2023, J HYDROL, V620, DOI 10.1016/j.jhydrol.2023.129381
   Nguyen TT, 2019, SCI TOTAL ENVIRON, V652, P147, DOI 10.1016/j.scitotenv.2018.10.168
   Verts T., 2007, P 6 INT C SUST TECHN
   Voghera A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102726
   Vugrin ED, 2011, PROCESS SAF PROG, V30, P280, DOI 10.1002/prs.10437
   Wang HW, 2022, RENEW ENERG, V197, P879, DOI 10.1016/j.renene.2022.07.094
   Wang J, 2022, J HYDROL, V609, DOI 10.1016/j.jhydrol.2022.127725
   Wang R, 2022, J CLEAN PROD, V371, DOI 10.1016/j.jclepro.2022.133462
   Wang R, 2022, ENVIRON MANAGE, V69, P558, DOI 10.1007/s00267-021-01565-9
   Wang X, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103828
   Wang Y, 2020, J CLEAN PROD, V256, DOI 10.1016/j.jclepro.2020.120479
   Wu JS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124990
   Wu WL, 2021, POL J ENVIRON STUD, V30, P5871, DOI 10.15244/pjoes/136351
   Xiang CY, 2019, WATER POLICY, V21, P19, DOI 10.2166/wp.2018.021
   Yang M, 2022, ECOL INDIC, V142, DOI 10.1016/j.ecolind.2022.109238
   Yang YY, 2021, J HYDROL, V597, DOI 10.1016/j.jhydrol.2021.126151
   Yao YT, 2022, J CLEAN PROD, V367, DOI 10.1016/j.jclepro.2022.133061
   Ying J, 2022, ECON RES-EKON ISTRAZ, V35, P343, DOI 10.1080/1331677X.2021.1893202
   Zellner M, 2016, COMPUT ENVIRON URBAN, V59, P116, DOI 10.1016/j.compenvurbsys.2016.04.008
   [翟国方 Zhai Guofang], 2024, [城市规划学刊, Urban Planning Forum], P29
   Zhang JW, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127237
   Zhang JX, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11050285
   Zhang JY, 2023, FORESTS, V14, DOI 10.3390/f14030474
   Zhang Z, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071872
   Zhang ZY, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102980
   Zhang ZM, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128418
   Zhou Y, 2023, ENVIRON DEV, V45, DOI 10.1016/j.envdev.2023.100815
   Zhu YF, 2023, RESOUR CONSERV RECY, V191, DOI 10.1016/j.resconrec.2023.106906
   Zölch T, 2017, ENVIRON RES, V157, P135, DOI 10.1016/j.envres.2017.05.023
   Zuniga-Teran AA, 2020, CURR OPIN ENV SUST, V44, P42, DOI 10.1016/j.cosust.2020.05.001
NR 90
TC 2
Z9 2
U1 39
U2 67
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 3990
DI 10.3390/su16103990
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 RY8R7
UT WOS:001231315600001
OA gold
DA 2025-04-22
ER

PT J
AU Feng, Y
   Lee, CC
   Peng, DY
AF Feng, Yi
   Lee, Chien-Chiang
   Peng, Diyun
TI Does regional integration improve economic resilience? Evidence from
   urban agglomerations in China
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Regional integration; Economic resilience; Urban agglomerations;
   Difference -in -differences method; Sustainable development
ID SUSTAINABLE DEVELOPMENT; POPULATION; GROWTH; RECESSIONS; INEQUALITY;
   PREFECTURE; EMISSIONS; PROSPECTS; PATTERNS; COVID-19
AB Under the dual pressure of "slow-burn" challenges and acute shocks, increasing economic resilience is gaining attention around the world to ensure the security and stability of economic activities. With the goal of achieving sustainable development, the China is exploring an innovative, coordinated, green, open, shared and secure development path for the regional economy. Using panel data for 241 cities at the prefecture level and above in China from 2010 to 2019, this research considers urban agglomeration planning as a quasi-natural experiment of regional integration and use a difference-in-differences method to explore the effect of regional integration on economic resilience. The results show the following. 1) Regional integration does improve economic resilience after various robustness tests. 2) The policy effect of regional integration on economic resilience varies by time, region, and urban structure. 3) Urban size structure and industrial structure are important ways in which regional integration affects economic resilience. Our findings enrich the theoretical study of the relationship between regional integration and economic resilience and provide a new path to improve regional economic resilience and achieve sustainable development.
C1 [Feng, Yi; Peng, Diyun] Nanchang Univ, Sch Econ & Management, Nanchang, Peoples R China.
   [Lee, Chien-Chiang] Hubei Univ Econ, Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan, Peoples R China.
C3 Nanchang University; Hubei University of Economics
RP Lee, CC (corresponding author), Hubei Univ Econ, Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan, Peoples R China.
EM cclee6101@gmail.com
RI FENG, Yi/KHY-8162-2024; Lee, Chien-Chiang/AAZ-9983-2020
OI Feng, Yi/0000-0002-6582-8963; Lee, Chien-Chiang/0000-0003-0037-4347
FU Province and Ministry, Hubei University of Economics, China
   [22CICETS-ZD006]
FX Chien-Chiang Lee is grateful to Collaborative Innovation Center for
   Emissions Trading system Co-constructed by the Province and Ministry,
   Hubei University of Economics, China for financial support through Grant
   No: 22CICETS-ZD006.
CR Alexiadis S, 2017, HABITAT INT, V68, P75, DOI 10.1016/j.habitatint.2017.03.001
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Bloise F, 2021, STRUCT CHANGE ECON D, V56, P310, DOI 10.1016/j.strueco.2021.01.001
   Boschma R, 2007, J ECON GEOGR, V7, P537, DOI 10.1093/jeg/lbm021
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Brakman S, 2015, CAMB J REG ECON SOC, V8, P225, DOI 10.1093/cjres/rsv005
   Briguglio L, 2009, OXF DEV STUD, V37, P229, DOI 10.1080/13600810903089893
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Chen J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102892
   Chen Q, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18157947
   Chen SM, 2020, LANCET, V395, P764, DOI 10.1016/S0140-6736(20)30421-9
   Chen XS, 2021, NAT HAZARDS, V106, P829, DOI 10.1007/s11069-020-04493-9
   Chen Y, 2022, ECOL ECON, V198, DOI 10.1016/j.ecolecon.2022.107483
   Cheng L, 2020, CURR ISSUES TOUR, V23, P2602, DOI 10.1080/13683500.2019.1711029
   Cheng T, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.103997
   Cuadrado-Roura JR, 2016, CAMB J REG ECON SOC, V9, P153, DOI 10.1093/cjres/rsv034
   Cui Y, 2021, SCI TOTAL ENVIRON, V754, DOI 10.1016/j.scitotenv.2020.142170
   Davies S, 2011, CAMB J REG ECON SOC, V4, P369, DOI 10.1093/cjres/rsr019
   Day CJ, 2023, REG STUD, V57, P1029, DOI 10.1080/00343404.2021.1956682
   Defraigne JC, 2021, EURASIAN GEOGR ECON, V62, P659, DOI 10.1080/15387216.2021.1939086
   Di Caro P, 2015, CAMB J REG ECON SOC, V8, P273, DOI 10.1093/cjres/rsu029
   Dormady N.C., 2022, INT J PROD ECON, V244, DOI [10.1016/j.ijpe.2021.108371, DOI 10.1016/J.IJPE.2021.108371, /10.1016/j.ijpe.2021.108371]
   Du KR, 2021, ENERG ECON, V98, DOI 10.1016/j.eneco.2021.105247
   Duan WQ, 2022, TECHNOL FORECAST SOC, V183, DOI 10.1016/j.techfore.2022.121944
   Ezcurra R, 2019, PAP REG SCI, V98, P1267, DOI 10.1111/pirs.12417
   Feldstein M., 1993, NBER Working Paper 4304, DOI [10.3386/w4304, DOI 10.3386/W4304]
   Frenken K, 2007, REG STUD, V41, P685, DOI 10.1080/00343400601120296
   Fu Y, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102813
   Furr N, 2022, GLOB STRATEG J, V12, P595, DOI 10.1002/gsj.1442
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gong HW, 2022, CAMB J REG ECON SOC, V15, P279, DOI 10.1093/cjres/rsac011
   Guo YZ, 2022, J RURAL STUD, V93, P430, DOI 10.1016/j.jrurstud.2019.01.007
   He JH, 2017, SUSTAIN CITIES SOC, V32, P569, DOI 10.1016/j.scs.2017.04.014
   He M, 2021, ECON MODEL, V95, P473, DOI 10.1016/j.econmod.2020.03.014
   He Y, 2022, ATMOS ENVIRON, V268, DOI 10.1016/j.atmosenv.2021.118805
   Hering L, 2014, J ENVIRON ECON MANAG, V68, P296, DOI 10.1016/j.jeem.2014.06.005
   Hou SY, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020472
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Huang HJ, 2020, TRANSPORT POLICY, V85, pA1, DOI 10.1016/j.tranpol.2019.09.007
   Hui ECM, 2020, CITIES, V105, DOI 10.1016/j.cities.2018.10.011
   Hussain J, 2022, TECHNOL FORECAST SOC, V183, DOI 10.1016/j.techfore.2022.121952
   Imperiale AJ, 2021, SUSTAIN DEV, V29, P891, DOI 10.1002/sd.2182
   Indset M, 2023, ENVIRON POLIT, V32, P271, DOI 10.1080/09644016.2022.2066344
   Jiang XC, 2021, APPL ECON, V53, P3832, DOI 10.1080/00036846.2021.1887805
   Jin FJ, 2021, J GEOGR SCI, V31, P403, DOI 10.1007/s11442-021-1850-z
   Kang JJ, 2022, ENERG POLICY, V163, DOI 10.1016/j.enpol.2022.112820
   KRUGMAN P, 1995, Q J ECON, V110, P857, DOI 10.2307/2946642
   Lagravinese R, 2015, CAMB J REG ECON SOC, V8, P331, DOI 10.1093/cjres/rsv006
   Lee CC, 2022, ENERG ECON, V107, DOI 10.1016/j.eneco.2022.105863
   Lee CC, 2022, RENEW ENERG, V199, P1510, DOI 10.1016/j.renene.2022.09.079
   Lee CC, 2022, RESOUR POLICY, V79, DOI 10.1016/j.resourpol.2022.103006
   Lee CC, 2022, ECON ANAL POLICY, V75, P174, DOI 10.1016/j.eap.2022.05.010
   Lee CC, 2022, RENEW ENERG, V195, P670, DOI 10.1016/j.renene.2022.06.070
   Lee CC, 2022, ENERGY, V248, DOI 10.1016/j.energy.2022.123564
   Li K, 2022, J ENVIRON MANAGE, V305, DOI 10.1016/j.jenvman.2021.114371
   Li L, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105939
   Li YY, 2021, J CLEAN PROD, V324, DOI 10.1016/j.jclepro.2021.129258
   Liu L, 2023, ENVIRON DEV SUSTAIN, V25, P13429, DOI 10.1007/s10668-022-02625-8
   Liu SD, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104061
   Liu YL, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102801
   Lv CC, 2022, ECON ANAL POLICY, V76, P502, DOI 10.1016/j.eap.2022.08.022
   Lyu YM, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-12274-6
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Martin R, 2015, CAMB J REG ECON SOC, V8, P141, DOI 10.1093/cjres/rsv012
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mason C, 2015, CAMB J REG ECON SOC, V8, P343, DOI 10.1093/cjres/rsu032
   Motesharrei S, 2016, NATL SCI REV, V3, P470, DOI 10.1093/nsr/nww081
   Nawaz S., 2021, RES TRANSP ECON, V88, DOI [10.1016/j.retrec.2021.101061, DOI 10.1016/J.RETREC.2021.101061]
   Nie YY, 2019, J CLEAN PROD, V219, P713, DOI 10.1016/j.jclepro.2019.01.164
   Pike A, 2015, CAMB J REG ECON SOC, V8, P185, DOI 10.1093/cjres/rsu030
   Qiang Y, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102115
   Ren SM, 2022, BUS STRATEG ENVIRON, V31, P1656, DOI 10.1002/bse.2975
   ROMER PM, 1986, J POLIT ECON, V94, P1002, DOI 10.1086/261420
   Shao YW, 2016, PROCEDIA ENVIRON SCI, V36, P122, DOI 10.1016/j.proenv.2016.09.022
   Shen JHN, 2022, STRUCT CHANGE ECON D, V60, P365, DOI 10.1016/j.strueco.2021.12.012
   Shi CC, 2022, J CLEAN PROD, V372, DOI 10.1016/j.jclepro.2022.133737
   Song JL, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103698
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Tang M, 2021, TECHNOL FORECAST SOC, V173, DOI 10.1016/j.techfore.2021.121130
   Tiwari AK, 2022, ENERG ECON, V113, DOI 10.1016/j.eneco.2022.106235
   Tseng ML, 2022, INT J PROD ECON, V245, DOI 10.1016/j.ijpe.2021.108401
   Ullah A, 2022, TECHNOL SOC, V68, DOI 10.1016/j.techsoc.2022.101903
   van Bergeijk PAG, 2017, PAP REG SCI, V96, P3, DOI 10.1111/pirs.12279
   Wang EZ, 2022, INT REV ECON FINANC, V81, P128, DOI 10.1016/j.iref.2022.05.008
   Wang MS, 2022, APPL GEOGR, V145, DOI 10.1016/j.apgeog.2022.102754
   Wang YF, 2022, ENVIRON SCI POLLUT R, V29, P59862, DOI 10.1007/s11356-022-20027-1
   Wang ZX, 2021, REG STUD, V55, P1228, DOI 10.1080/00343404.2021.1872779
   Wang Z, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19137937
   Wen HW, 2023, ENVIRON IMPACT ASSES, V98, DOI 10.1016/j.eiar.2022.106959
   Wen HW, 2022, ENERG ECON, V105, DOI 10.1016/j.eneco.2021.105767
   Wen LJ, 2021, TECHNOL FORECAST SOC, V166, DOI 10.1016/j.techfore.2021.120590
   Whitley R, 2000, ORGAN STUD, V21, P855, DOI 10.1177/0170840600215002
   Wu LF, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102329
   Wu YZ, 2022, J BANK FINANC, V140, DOI 10.1016/j.jbankfin.2022.106510
   XIAN Y, 2022, J GEOGR SCI, V32, P1281, DOI 10.1007/s11442-022-1997-2
   Xiao RR, 2022, ENERGY REP, V8, P5137, DOI 10.1016/j.egyr.2022.03.206
   Xu H, 2021, ENVIRON SCI POLLUT R, V28, P62321, DOI 10.1007/s11356-021-14946-8
   Xu YS, 2015, CAMB J REG ECON SOC, V8, P359, DOI 10.1093/cjres/rsv001
   Yang T, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104069
   Ye MS, 2022, INT FINANC, V25, P151, DOI 10.1111/infi.12413
   Yu HS, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103800
   Zeng XT, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102710
   Zenka J, 2021, LAND-BASEL, V10, DOI 10.3390/land10121335
   Zhang XM, 2022, PHYSICA A, V600, DOI 10.1016/j.physa.2022.127470
   Zhao HL, 2019, APPL ENERG, V237, P326, DOI 10.1016/j.apenergy.2018.12.068
   Zhao JM, 2021, HABITAT INT, V116, DOI 10.1016/j.habitatint.2021.102404
   Zhong QM, 2022, ENVIRON IMPACT ASSES, V95, DOI 10.1016/j.eiar.2022.106799
   Zhu C, 2022, TECHNOL FORECAST SOC, V183, DOI 10.1016/j.techfore.2022.121955
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
   Zou LC, 2022, J ECON SURV, V36, P605, DOI 10.1111/joes.12427
NR 111
TC 118
Z9 120
U1 160
U2 643
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 2023
VL 88
AR 104273
DI 10.1016/j.scs.2022.104273
EA NOV 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 6B1XJ
UT WOS:000881134400005
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Qin, RZ
   Cui, P
   Zhou, SH
   Zhang, F
AF Qin, Ruize
   Cui, Peng
   Zhou, Shenghua
   Zhang, Fan
TI Dynamic Analysis for Enhancing Urban Resilience Against Public Health
   Emergencies of International Concern
SO LAND
LA English
DT Article
DE urban resilience; system dynamics; PHEIC; emergency management; epidemic
   simulation
ID PERSPECTIVE; MODEL; CITY
AB The frequent occurrence of Public Health Emergencies of International Concern (PHEIC) has posed significant challenges to urban public health, economic, and social systems, exposing gaps in urban resilience. This study developed a dynamic urban resilience assessment framework against PHEIC based on the system dynamics method, integrating index analysis and the SEIR (susceptible-exposed-infectious-recovered) epidemiological model to investigate the interactions and dynamic evolution of urban subsystems in New York, Hong Kong, and Nanjing during the COVID-19 epidemic. The findings revealed significant differences in the response mechanisms and recovery capacities across subsystems. For example, the stringent lockdowns policy in New York curbed virus spread and heavily impacted economic activities; the "close to Dynamic zero of COVID-19" policy in Hong Kong demonstrated stronger resilience in balancing public health and economic recovery; the dynamic control measures in Nanjing China allowed for the rapid restoration of urban functions with minimal resilience fluctuations. Although strict control measures can effectively suppress disease spread, they can have profound economic and social impacts. More scientific strategies, such as those seen in Hong Kong and Nanjing, offer a more balanced approach to managing both epidemic control and urban function recovery, providing key insights for future PHEIC response strategies.
C1 [Qin, Ruize; Cui, Peng] Nanjing Forestry Univ, Sch Civil Engn, Dept Engn Management, Nanjing 210037, Peoples R China.
   [Qin, Ruize] Columbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USA.
   [Zhou, Shenghua] Southeast Univ, Dept Construction & Real Estate, Nanjing 211189, Peoples R China.
   [Zhang, Fan] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Peoples R China.
C3 Nanjing Forestry University; Columbia University; Southeast University -
   China; Hong Kong Polytechnic University
RP Cui, P (corresponding author), Nanjing Forestry Univ, Sch Civil Engn, Dept Engn Management, Nanjing 210037, Peoples R China.
EM rq2199@columbia.edu; cui@njfu.edu.cn; shenghua@seu.edu.cn;
   fan-2.zhang@polyu.edu.hk
RI Zhang, Fan/ITT-8451-2023; Qin, Ruize/LXA-3460-2024
OI Zhang, Fan/0000-0003-4340-5967; Cui, Peng/0000-0003-2019-8336
FU National Natural Science Foundation of China; Humanities and Social
   Sciences Fund of the Ministry of education [21YJC630017]; Jiangsu Social
   Science Fund [21GLC001];  [72204113]
FX This research is sponsored by the National Natural Science Foundation of
   China (Grant Nos. 72204113), Humanities and Social Sciences Fund of the
   Ministry of education (Grant Nos. 21YJC630017), and Jiangsu Social
   Science Fund (Grant Nos. 21GLC001).
CR Abbasnejadfard M, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102956
   Ahmadi H, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103259
   Amegavi GB, 2024, INT J DISAST RISK RE, V103, DOI 10.1016/j.ijdrr.2024.104313
   Barthelemy M, 2019, NAT REV PHYS, V1, P406, DOI 10.1038/s42254-019-0054-2
   Bigoni A, 2022, LANCET REG HEALTH-AM, V10, DOI 10.1016/j.lana.2022.100222
   Borsekova K, 2018, INT J DISAST RISK RE, V31, P381, DOI 10.1016/j.ijdrr.2018.05.012
   Botequilha-Leitao A, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102089
   Bozza A, 2017, COMPUT-AIDED CIV INF, V32, P527, DOI 10.1111/mice.12275
   Cao JW, 2022, HEALTHCARE-BASEL, V10, DOI 10.3390/healthcare10030479
   Chen L, 2024, INT J DISAST RISK RE, V111, DOI 10.1016/j.ijdrr.2024.104671
   Cheng T, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.103997
   Cheng YR, 2023, INT J DISAST RISK RE, V97, DOI 10.1016/j.ijdrr.2023.104028
   Copeland S, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101799
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   Dewa O, 2021, INT J DISAST RISK SC, V12, P673, DOI 10.1007/s13753-021-00369-z
   Ding CH, 2024, INT J DISAST RISK RE, V102, DOI 10.1016/j.ijdrr.2024.104255
   Ding ST, 2023, J CLEAN PROD, V421, DOI 10.1016/j.jclepro.2023.138558
   Ding YT, 2022, ENERGY, V247, DOI 10.1016/j.energy.2022.123518
   Dui H, 2023, COMPUT IND ENG, V179, DOI 10.1016/j.cie.2023.109158
   Forcellini D, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12063032
   Ganin AA, 2019, TRANSPORT RES C-EMER, V100, P318, DOI 10.1016/j.trc.2019.01.014
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gooding K, 2022, BMC HEALTH SERV RES, V22, DOI 10.1186/s12913-022-08859-6
   Guo JP, 2021, INFORM MANAGE-AMSTER, V58, DOI 10.1016/j.im.2020.103286
   Guo LL, 2018, RESOUR CONSERV RECY, V128, P143, DOI 10.1016/j.resconrec.2016.09.035
   Gupta N, 2023, APPL ECON PERSPECT P, V45, P1801, DOI 10.1002/aepp.13365
   Haldane V, 2022, HEALTH POLICY OPEN, V3, DOI 10.1016/j.hpopen.2022.100081
   He CF, 2024, ANN REGIONAL SCI, V73, P291, DOI 10.1007/s00168-024-01266-1
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Inoue H, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0255031
   Jiang NN, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107298
   Jovanovic A., 2020, Environment Systems & Decisions, V40, P252, DOI 10.1007/s10669-020-09779-8
   Kapucu N., 2023, Urban Governance, V3, P5, DOI [10.1016/j.ugj.2023.01.001, DOI 10.1016/J.UGJ.2023.01.001]
   Khan A, 2021, CURR ISSUES TOUR, V24, P952, DOI 10.1080/13683500.2020.1850653
   Kotir JH, 2016, SCI TOTAL ENVIRON, V573, P444, DOI 10.1016/j.scitotenv.2016.08.081
   Kuguyo O, 2020, OMICS, V24, P470, DOI 10.1089/omi.2020.0077
   Lara DVR, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104411
   Li GJ, 2021, CITIES, V114, DOI 10.1016/j.cities.2021.103206
   Li JX, 2024, J CLEAN PROD, V438, DOI 10.1016/j.jclepro.2024.140812
   Li JJ, 2024, ECON HUM BIOL, V53, DOI 10.1016/j.ehb.2024.101365
   Liu AJ, 2023, TRANSPORT RES A-POL, V170, DOI 10.1016/j.tra.2023.103605
   Liu H, 2024, J CLEAN PROD, V466, DOI 10.1016/j.jclepro.2024.142861
   Liu JX, 2024, CITIES, V147, DOI 10.1016/j.cities.2024.104827
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   Liu Y., 2023, Land, V12, P7
   Lytras M.D., 2021, Next Gen Tech Driven Personalized Med & Smart Healthcare, P225
   Mahmoud H, 2023, RELIAB ENG SYST SAFE, V235, DOI 10.1016/j.ress.2023.109264
   Malatesta T, 2023, ENERG BUILDINGS, V300, DOI 10.1016/j.enbuild.2023.113679
   Månefjord JL, 2024, INT J DISAST RISK RE, V103, DOI 10.1016/j.ijdrr.2024.104295
   Marques AL, 2024, CITIES, V150, DOI 10.1016/j.cities.2024.105018
   McClymont K, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103729
   McKibbin W, 2023, ECON MODEL, V129, DOI 10.1016/j.econmod.2023.106551
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meng ZR, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111769
   Mitoulis SA, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104405
   Moradpour N, 2024, BUILD ENVIRON, V263, DOI 10.1016/j.buildenv.2024.111898
   Mou Y, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125719
   Murray V, 2015, INT J DISAST RISK SC, V6, P28, DOI 10.1007/s13753-015-0036-7
   Nan C, 2017, RELIAB ENG SYST SAFE, V157, P35, DOI 10.1016/j.ress.2016.08.013
   Nguyen H, 2023, INT BUS REV, V32, DOI 10.1016/j.ibusrev.2023.102166
   Orji IJ, 2024, SOCIO-ECON PLAN SCI, V96, DOI 10.1016/j.seps.2024.102090
   Poo MCP, 2024, TRANSPORT RES A-POL, V181, DOI 10.1016/j.tra.2024.104018
   Qiao D, 2024, J CLEAN PROD, V445, DOI 10.1016/j.jclepro.2024.141383
   Quiroz-Fabra J., 2023, COVID-19, Tourist Destinations and Prospects for Recovery: Volume One: A Global Perspective, P43
   Ryan BJ, 2024, INT J DISAST RISK SC, V15, P1, DOI 10.1007/s13753-024-00537-x
   Salimi Negin, 2021, Journal of Applied Research in Water and Wastewater, V8, P14, DOI 10.22126/arww.2021.6453.1211
   Schneider SaundraK., 2018, HDB DISASTER RES, P551
   Scholz C, 2022, INT J DISAST RISK RE, V83, DOI 10.1016/j.ijdrr.2022.103419
   Shan SN, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104418
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Sutley EJ, 2018, SUSTAIN RESIL INFRAS, V3, P109, DOI 10.1080/23789689.2017.1364561
   Tang XL, 2023, PHYS CHEM EARTH, V132, DOI 10.1016/j.pce.2023.103467
   Thompson CN, 2020, MMWR-MORBID MORTAL W, V69, P1725, DOI 10.15585/mmwr.mm6946a2
   Tye MR, 2024, ISCIENCE, V27, DOI 10.1016/j.isci.2024.110311
   Vicino TJ, 2022, URBAN PLAN, V7, P4, DOI 10.17645/up.v7i3.5376
   Walker B., 2004, Ecology and Society, V9, P5
   Wang NX, 2024, SUSTAIN CITIES SOC, V109, DOI 10.1016/j.scs.2024.105548
   Wang NX, 2023, RELIAB ENG SYST SAFE, V237, DOI 10.1016/j.ress.2023.109394
   Wang XR, 2023, J CLEAN PROD, V425, DOI 10.1016/j.jclepro.2023.138859
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wei M, 2024, INT J DISAST RISK RE, V100, DOI 10.1016/j.ijdrr.2023.104167
   Wu WP, 2024, ENVIRON IMPACT ASSES, V109, DOI 10.1016/j.eiar.2024.107619
   Xiao WY, 2022, TRANSPORT RES D-TR E, V110, DOI 10.1016/j.trd.2022.103428
   Xiao Y, 2025, ENVIRON IMPACT ASSES, V111, DOI 10.1016/j.eiar.2024.107734
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yuan MK, 2023, ECOL INDIC, V156, DOI 10.1016/j.ecolind.2023.111145
   Zhang F, 2024, INT J DISAST RISK RE, V103, DOI 10.1016/j.ijdrr.2024.104343
   Zhang FX, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102664
   Zhang JM, 2024, CITIES, V153, DOI 10.1016/j.cities.2024.105294
   Zhang JM, 2023, CITIES, V136, DOI 10.1016/j.cities.2023.104265
   Zhang YQ, 2024, SUSTAIN CITIES SOC, V102, DOI 10.1016/j.scs.2024.105221
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhao ZY, 2024, SUSTAIN CITIES SOC, V106, DOI 10.1016/j.scs.2024.105366
   Zhu PY, 2022, BMC PUBLIC HEALTH, V22, DOI 10.1186/s12889-022-13234-5
NR 96
TC 0
Z9 0
U1 13
U2 13
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 2220
DI 10.3390/land13122220
PG 35
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Q7S4E
UT WOS:001386626400001
OA gold
DA 2025-04-22
ER

PT J
AU Deng, JF
   Zhang, R
   Chen, S
   Li, Z
   Gao, L
   Li, YP
   Wei, CX
AF Deng, Jiafeng
   Zhang, Rui
   Chen, Sheng
   Li, Zhi
   Gao, Liang
   Li, Yanping
   Wei, Chunxia
TI Spatiotemporal evolution and influencing factors of flood resilience in
   Beibu Gulf Urban Agglomeration
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Flood resilience; Spatiotemporal evolution; Influencing factor; Optimal
   parameters-based geographical detec-; tor; Beibu gulf urban
   agglomeration
ID RISK-ASSESSMENT; CLIMATE-CHANGE; URBANIZATION
AB In the context of global climate change and rapid urbanization, enhancing flood resilience is essential for mitigating urban flood risk. However, few studies have conducted long-term, cross- scale dynamic evaluations of flood resilience and analyzed its influencing factors and mechanisms. Taking the Beibu Gulf urban agglomeration as the study area, a long-term, cross-scale dynamic evaluation index system based on the "Robustness-Resistance-Recovery" (3Rs) framework was developed to assess the spatiotemporal evolution of flood resilience from 2000 to 2020. Furthermore, the optimal parameters-based geographical detector model is employed to identify the key influencing factors and mechanisms. The results reveal that pre-flood robustness is lower in coastal areas and higher in inland areas. In the during-flood stage, cities with greater comprehensive power exhibit stronger resistance. Post-flood recovery is higher in city centers and marginal mountainous areas, while coastal and inland low-lying areas show lower recovery. The flood resilience of urban agglomerations has improved in recent years, largely due to the enhancement of urban flood control infrastructure and healthcare capacity. However, disparities between cities persist. From 2000 to 2020, economic factors have been the primary drivers of improved flood resilience, while ecological factors have gained increasing importance over the past decade. These findings provide valuable insights for flood prevention, mitigation, and resilience management in urban agglomerations. The developed dynamic evaluation index system offers a reference framework for evaluating flood resilience in other regions.
C1 [Deng, Jiafeng; Zhang, Rui; Chen, Sheng] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Donggang West Rd, Lanzhou 730000, Peoples R China.
   [Deng, Jiafeng; Chen, Sheng] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China.
   [Deng, Jiafeng; Li, Zhi] Nanning Normal Univ, Minist Educ, Key Lab Environm Change & Resources Use Beibu Gulf, Sch Geog Sci & Planning, Nanning 530001, Peoples R China.
   [Gao, Liang] Univ Macau, State Key Lab Internet Things Smart City, Macau 999078, Peoples R China.
   [Gao, Liang] Univ Macau, Dept Civil & Environm Engn, Macau 999078, Peoples R China.
   [Li, Yanping] Guangxi Meteorol Informat Ctr, Nanning 530022, Peoples R China.
   [Wei, Chunxia] Guangxi Inst Meteorol Sci, Nanning 530022, Peoples R China.
C3 Chinese Academy of Sciences; Southern Marine Science & Engineering
   Guangdong Laboratory; Southern Marine Science & Engineering Guangdong
   Laboratory (Zhuhai); Nanning Normal University; University of Macau;
   University of Macau; China Meteorological Administration; Guangxi
   Meteorological Service, China Meteorological Administration
RP Chen, S (corresponding author), Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Donggang West Rd, Lanzhou 730000, Peoples R China.
EM chensheng@nieer.ac.cn
RI Zhang, Rui/O-5631-2019; Deng, Jiafeng/KEH-6175-2024
FU Guangxi Key RD Program [AB22080104, AB22035016]; National Natural
   Science Foundation of China [42301102]; Gansu Natural science Foundation
   [2244JJRRRRAA008822]; Key Program in the Liuzhou Key Laboratory of
   Topographic Rainstorm over Mount Yuanbao [2024ybssysz2]; High-level
   Talent Program in the Chinese Academy of sciences [E2290702]; Science
   and Technology Development Fund, Macau SAR [001/2024/SKL, 0029/2022/A1,
   0033/2024/RIA1]
FX The authors would like to express their sincere gratitude to the
   anonymous reviewers and editors for their valuable comments and
   insightful suggestions, which greatly improved the quality of this
   paper. This research was funded by the Guangxi Key R&D Program (Grant
   No. AB22080104, AB22035016) , the National Natural Science Foundation of
   China (Grant No. 42301102) , Gansu Natural science Foundation (Grant No.
   2244JJRRRRAA008822) , the Key Program in the Liuzhou Key Laboratory of
   Topographic Rainstorm over Mount Yuanbao (Grant No. 2024ybssysz2) ,
   High-level Talent Program in the Chinese Academy of sciences (Grant No.
   E2290702) , the Science and Technology Development Fund, Macau SAR (File
   Nos. 001/2024/SKL, 0029/2022/A1, 0033/2024/RIA1) .
CR Abdrabo KI, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2023.101426
   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
   C.R. Index, 2014, City resilience framework
   Chan FKS, 2024, OCEAN COAST MANAGE, V249, DOI 10.1016/j.ocecoaman.2023.107015
   Chen XL, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143144
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2013, ENVIRONMENT, V55, P25, DOI 10.1080/00139157.2013.768076
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Doorga JRS, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102683
   Fang JY, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135311
   Frazier AE, 2013, INT J APPL EARTH OBS, V21, P43, DOI 10.1016/j.jag.2012.07.019
   Gao F, 2021, INT J GEOGR INF SCI, V35, P1905, DOI 10.1080/13658816.2020.1863410
   Grafton RQ, 2019, NAT SUSTAIN, V2, P907, DOI 10.1038/s41893-019-0376-1
   Gu ZP, 2024, ECOL INFORM, V80, DOI 10.1016/j.ecoinf.2024.102493
   [贺山峰 He Shanfeng], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1988
   Herrfahrdt-Pähle E, 2012, ECOL SOC, V17, DOI 10.5751/ES-04565-170208
   Hinojos S, 2023, APPL GEOGR, V157, DOI 10.1016/j.apgeog.2023.103017
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu Y, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021427
   Jelinski DE, 1996, LANDSCAPE ECOL, V11, P129, DOI 10.1007/BF02447512
   Ju HR, 2016, INT J GEOGR INF SCI, V30, P2188, DOI 10.1080/13658816.2016.1165228
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Lall SV, 2012, WORLD BANK RES OBSER, V27, P74, DOI 10.1093/wbro/lkr006
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   [李德智 Li Dezhi], 2023, [灾害学, Journal of Catastrophology], V38, P99
   Liu YH, 2023, INT J DISAST RISK RE, V90, DOI 10.1016/j.ijdrr.2023.103649
   Lyu HM, 2018, SCI TOTAL ENVIRON, V626, P1012, DOI 10.1016/j.scitotenv.2018.01.138
   Mahmoud SH, 2018, SCI TOTAL ENVIRON, V636, P152, DOI 10.1016/j.scitotenv.2018.04.282
   Mehryar S, 2022, SCI TOTAL ENVIRON, V837, DOI 10.1016/j.scitotenv.2022.155854
   Miller JD, 2017, J HYDROL-REG STUD, V12, P345, DOI 10.1016/j.ejrh.2017.06.006
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   PRC National Development and Reform Commission Ministry of Housing and Urban-Rural Development, 2017, Circular on the issuance of the development plan for the Beibu Gulf urban agglomeration
   Qin ML, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112197
   Qin ML, 2023, CHINESE GEOGR SCI, V33, P85, DOI 10.1007/s11769-023-1327-3
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Shen YW, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124159
   Shu C., 2024, Water Resour. Hydropower Eng., P1, DOI [10.13928/j.cnki.wrahe.2024.03.005, DOI 10.13928/J.CNKI.WRAHE.2024.03.005]
   Song YZ, 2020, GISCI REMOTE SENS, V57, P593, DOI 10.1080/15481603.2020.1760434
   Swain DL, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001778
   Tanir T, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102362
   Wang JF, 2010, INT J GEOGR INF SCI, V24, P107, DOI 10.1080/13658810802443457
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wang LH, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e11763
   Xu WP, 2024, INT J BUILD PATHOL, V42, P213, DOI 10.1108/IJBPA-09-2021-0120
   Ying C, 2024, SCI TOTAL ENVIRON, V944, DOI 10.1016/j.scitotenv.2024.173841
   Yu Q., 2021, CHINA FLOOD DROUGHT, V31, P19, DOI DOI 10.16867/J.ISSN.1673-9264.2021011
   Yu SY, 2023, LANDSCAPE URBAN PLAN, V230, DOI 10.1016/j.landurbplan.2022.104605
   Yu YR, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15112814
   Zhang CB, 2023, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.1113997
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   [张建云 Zhang Jianyun], 2016, [水科学进展, Advances in Water Science], V27, P485
   Zhang R, 2023, ECOL INDIC, V157, DOI 10.1016/j.ecolind.2023.111214
   Zhang Y, 2023, INT J DISAST RISK RE, V97, DOI 10.1016/j.ijdrr.2023.104050
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zhiding C., 2024, China Rural Water and Hydropower, P1
   Zhou K, 2020, J GEOGR SCI, V30, P1363, DOI 10.1007/s11442-020-1786-8
   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 60
TC 1
Z9 1
U1 63
U2 63
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 NOV
PY 2024
VL 114
AR 104905
DI 10.1016/j.ijdrr.2024.104905
EA OCT 2024
PG 20
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA L1P7Z
UT WOS:001348518900001
DA 2025-04-22
ER

PT J
AU Ernst, KM
   Preston, BL
AF Ernst, Kathleen M.
   Preston, Benjamin L.
TI Applying the Knowledge Product Evaluation (KnoPE) Framework to two urban
   resilience cases in the United States
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Urban resilience; Climate change; Environmental decision-making;
   Decision-support tools; Evaluation; Resilience; Knowledge systems;
   Climate services
ID SCIENCE; ADAPTATION; USABILITY; SYSTEMS; SCENARIOS
AB Urban decision-makers are increasingly focused on enhancing community resilience in anticipation of more frequent and intense impacts from climate variability and change. These impacts will manifest in complex and nuanced ways, particularly when coupled with additional social, economic, and environmental shifts that vary across contexts. Given these challenges, urban decision-makers are seeking new knowledge, and new ways of using existing knowledge, to support decision-making processes. In response, a broad range of knowledge products (i.e. decision-support tools, climate services) have been developed for urban areas. Yet, to date, little research has directly evaluated these products. The Knowledge Product Evaluation (KnoPE) framework addresses this gap by providing both conceptual clarity surrounding knowledge products and a structured, generalizable methodology to guide research and support improved knowledge product creation and uptake. The KnoPE Framework combines data and information on knowledge products, their use in decision-making over time, and evidence of tangible actions taken. The KnoPE Framework was developed with two urban resilience knowledge products - the Urban-Climate Adaptation Tool and the Maine Flood Resilience Checklist. Initial testing indicates that the KnoPE Framework can assess the transferability, scalability, and use of knowledge products in urban resilience decision-making. Any evaluation using the KnoPE Framework requires a thorough understanding of the contextual details of each case and understanding what factors may influence knowledge product development and subsequent decision-making processes and outcomes. Yet, as an analytical entry point for the evaluation of knowledge products, the KnoPE Framework can offer insights regarding the extent to which knowledge products influence urban resilience decision-making processes.
C1 [Ernst, Kathleen M.] FAMU FSU, Coll Engn, Tallahassee, FL USA.
   [Preston, Benjamin L.] RAND Corp, Community Hlth & Environm Policy Program, Santa Monica, CA 90406 USA.
C3 State University System of Florida; Florida State University; Florida
   A&M University; RAND Corporation
RP Ernst, KM (corresponding author), 2525 Pottsdamer St,Room B202-A, Tallahassee, FL 32310 USA.
EM kernst@eng.famu.fsu.edu
RI Preston, Benjamin/B-9001-2012
OI Preston, Benjamin/0000-0002-7966-2386; Ernst,
   Kathleen/0000-0002-4726-0331
CR [Anonymous], 2010, NATURE, V463, P849, DOI 10.1038/463849a
   [Anonymous], MAINE FLOOD RESILIEN
   [Anonymous], SCI DECISIONMAKING H
   Arnott JC, 2016, ENVIRON SCI POLICY, V66, P383, DOI 10.1016/j.envsci.2016.06.017
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Brown RR, 2013, GLOBAL ENVIRON CHANG, V23, P701, DOI 10.1016/j.gloenvcha.2013.02.013
   Buizer M, 2011, ECOL SOC, V16
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Cash DW, 2006, ECOL SOC, V11
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   de Bremond A, 2014, ENVIRON SCI POLICY, V42, P45, DOI 10.1016/j.envsci.2014.05.004
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Gibson CC, 2000, ECOL ECON, V32, P217, DOI 10.1016/S0921-8009(99)00092-0
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/nclimate1614, 10.1038/NCLIMATE1614]
   Lesnikowski AC, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044009
   Liu YQ, 2008, ENVIRON MODELL SOFTW, V23, P846, DOI 10.1016/j.envsoft.2007.10.007
   [Mach K.J. Intergovernmental Panel on Climate Change (IPCC). ( Intergovernmental Panel on Climate Change (IPCC). (], 2014, CLIMATE CHANGE 2014, P117
   McKee JJ, 2015, P NATL ACAD SCI USA, V112, P1344, DOI 10.1073/pnas.1405713112
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller C., 2010, Knowledge systems analysis. A report for the Advancing Conservation in a Social Context Project
   Moss R., 2014, Climate Change Impacts in the United States: The Third National Climate Assessmentk, DOI [10.7930/J0H12ZXG, DOI 10.7930/J0H12ZXG]
   Moss RH, 2016, CLIMATIC CHANGE, V135, P143, DOI 10.1007/s10584-015-1549-1
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   Nugent PJ, 2017, ADV GEOGR INFORM SCI, P371, DOI 10.1007/978-3-319-22786-3_33
   Porter JJ, 2017, ENVIRON SCI POLICY, V77, P9, DOI 10.1016/j.envsci.2017.07.004
   Proctor W, 2010, INTEGRATED MISSION-DIRECTED RESEARCH: EXPERIENCES FROM ENVIRONMENTAL AND NATURAL RESOURCE MANAGEMENT, P1
   Silva A, 2018, GLOBAL ENVIRON CHANG, V50, P60, DOI 10.1016/j.gloenvcha.2018.02.003
   Skelton M, 2017, REG ENVIRON CHANGE, V17, P2325, DOI 10.1007/s10113-017-1155-z
   Tran L, 2016, ECOL INDIC, V61, P418, DOI 10.1016/j.ecolind.2015.09.043
   Trencher G, 2014, GLOBAL ENVIRON CHANG, V28, P153, DOI 10.1016/j.gloenvcha.2014.06.009
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Vulturius G, 2015, SCAND J FOREST RES, V30, P217, DOI 10.1080/02827581.2014.1002218
   Wall TU, 2017, FRONT ECOL ENVIRON, V15, P551, DOI 10.1002/fee.1735
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
NR 41
TC 7
Z9 9
U1 5
U2 37
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 MAY
PY 2020
VL 107
BP 7
EP 22
DI 10.1016/j.envsci.2020.01.018
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LC5GO
UT WOS:000525353800002
DA 2025-04-22
ER

PT J
AU Sharma, SE
AF Sharma, Sarah E.
TI Urban climate resilience under racial capitalism: Governing pluvial
   flooding across Amsterdam and Dhaka
SO GEOFORUM
LA English
DT Article
DE Resilience; Climate urbanism; Racial capitalism; Environmental
   governance; Climate justice
ID EAST-INDIA-COMPANY; THINKING CITIES; MANAGEMENT; VOC; GEOGRAPHIES; RISK
AB This paper situates climate resilience as a solution to urban flooding under racial capitalism by examining its implementation across Amsterdam, the Netherlands, and Dhaka, Bangladesh. The necessity for cities to enhance their climate resilience in the face of urban flooding has become a dominant refrain in the global governance of climate change. This is the case in both the Netherlands and Bangladesh, locations that are respectively and divergently framed as global "masters" of water management and needy "apprentices" requiring international guidance on flood control and economic development. I place these two sites in conversation with one another to break down constructed ontological and epistemological divides across the global North and global South, drawing attention to the relationship between contemporary urban climate resilience policies and broader histories of socio-ecological injustice under racial capitalism. I argue that urban climate resilience policies across Amsterdam and Dhaka renegotiate and reconfigure techniques, practices and ideologies of racial and class-based inequality in response to threats and insecurity posed by climate change within and across urban scales. Looking across Amsterdam and Dhaka, I demonstrate that climate resilience policies primarily aim to protect status quo forms of capital accumulation at the urban scale rather than enact comprehensive climate adaptation measures. As a result, the ineffective and inequitable nature of resilience continues to support highly racially uneven urban socio-natures across the global North and global South, enabled by racist imaginaries where communities in the global South - particularly the urban poor - are framed as being undeserving of environmental justice.
C1 [Sharma, Sarah E.] Univ Victoria, Dept Polit Sci, 3800 Finnerty Rd,David Turpin Bldg A316, Victoria, BC V8P 5C2, Canada.
C3 University of Victoria
RP Sharma, SE (corresponding author), Univ Victoria, Dept Polit Sci, 3800 Finnerty Rd,David Turpin Bldg A316, Victoria, BC V8P 5C2, Canada.
EM sesharma@uvic.ca
FU Canadian Social Science's and Humanities Research Council (SSHRC);
   Mitacs Globalink program; Department of Political Science and Public
   Administration at the Vrije Universiteit Amsterdam
FX This research was funded by the Canadian Social Science's and Humanities
   Research Council (SSHRC) through its Vanier Graduate Scholarship program
   and through the Mitacs Globalink program. I am grateful to Saleemul Huq
   and all of the staff at the International Centre for Climate Change and
   Development (ICCCAD) for hosting me in Dhaka during my fieldwork in
   Bangladesh. Further special thanks are due to Bastiaan van Apeldoorn and
   the Department of Political Science and Public Administration at the
   Vrije Universiteit Amsterdam for hosting me for the duration of my
   fieldwork in the Netherlands. This piece received multiple rounds of
   feedback for which I am exceedingly grateful. Thank you to Derek Hall
   and all of the participants at the Balsillie School of International
   Affair's Global Political Economy Dissertation Workshop for providing
   initial and crucial interventions on the piece. Thank you to Will
   Greaves for his generous feedback as a discussant at the 2021 Canadian
   Political Science Association conference. Thank you as well to the
   reviewers for their productive and generative feedback. My final and
   most sincere thanks to Keston Perry and Leon Sealey-Huggins for expertly
   convening this Special Issue and for shepherding this paper through its
   multiple iterations with generous and constructive feedback.
CR Ahmed K., 2020, GUARDIAN
   Ahmed S., 2013, World Social Science Report 2013: Changing Global Environments, P246
   Alam M.J., 2018, Bandung: Journal of the Global South, V5, P1, DOI 10.1186/s40728-018-0046-0
   Alam MJ, 2014, SUSTAIN CITIES SOC, V10, P49, DOI 10.1016/j.scs.2013.05.006
   Alam MJ, 2010, INT J URBAN SUSTAIN, V2, P85, DOI 10.1080/19463138.2010.512809
   Alice T., 2021, Int. Financial Law Rev
   [Anonymous], 2006, SLUMS URBAN BANGLADE
   [Anonymous], 2013, BUILDING RESILIENCE
   [Anonymous], 2009, World Development Report 2010: Development and Climate Change
   Atunes C., 2019, The Dutch Empire Between Ideas and Practice, P1600
   Bachram H., 2004, CAPITALISM NATURE SO, V15, P5, DOI DOI 10.1080/1045575042000287299
   Baffoe G, 2023, PLAN PERSPECT, V38, P173, DOI 10.1080/02665433.2022.2041468
   Bhattacharyya Gargi., 2018, RETHINKING RACIAL CA, DOI DOI 10.4324/9781315681825-13
   Bijl P, 2012, J GENOCIDE RES, V14, P441, DOI 10.1080/14623528.2012.719375
   Bird J., 2018, Toward great Dhaka: A new urban development paradigm eastward. Chapter-3: East and West
   Blakey A, 1993, Blacks in the Dutch World: The Evolution of Racial Imagery in the Modern Society
   Bonds A, 2018, URBAN GEOGR, V39, P1285, DOI 10.1080/02723638.2018.1462968
   Brassett J, 2018, RIPE SER GLOB POLIT, P1, DOI 10.4324/9781351171403
   Danewid I, 2020, EUR J INT RELAT, V26, P289, DOI 10.1177/1354066119858388
   Dasgupta S., 2015, Urban Flooding of Greater Dhaka in a Changing Climate: Building Local Resilience to Disaster Risk
   De Goede Marieke., 2005, Virtue, Fortune, And Faith: A Geneaology Of Finance, V24
   Derickson K.D., 2016, City, V20, P161, DOI DOI 10.1080/13604813.2015.1125713
   Derickson KD, 2018, PROG HUM GEOG, V42, P425, DOI 10.1177/0309132516686012
   Du Bois W.E.B., 1995, BLACK RECONSTRUCTION
   Elson D., 1994, Capitalism and development, P189
   Elwood S, 2017, PROG HUM GEOG, V41, P745, DOI 10.1177/0309132516659706
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Fattah KN, 2020, SOC INCL, V8, P55, DOI 10.17645/si.v8i1.2318
   Federici Silvia., 2004, CALIBAN WITCH WOMEN
   Feldman S., 1984, South Asia Bull, V4, P11
   Gahman L, 2020, T I BRIT GEOGR, V45, P763, DOI 10.1111/tran.12369
   Gelderblom O, 2004, J ECON HIST, V64, P641, DOI 10.1017/S002205070400292X
   Gelderblom O, 2013, J ECON HIST, V73, P1050, DOI 10.1017/S0022050713000879
   Gillespie T, 2023, ENVIRON URBAN, V35, P433, DOI 10.1177/09562478231172057
   Gilmore RuthWilson., 2007, Golden Gulag: Prisons, Surplus, Crisis, And Opposition in Globalizing California
   Gonzalez CG, 2021, ONATI SOCIO-LEGAL S, V11, P108, DOI 10.35295/OSLS.IISL/0000-0000-0000-1137
   Grove K, 2020, GEOFORUM, V117, P134, DOI 10.1016/j.geoforum.2020.09.014
   Grove K, 2020, ANN AM ASSOC GEOGR, V110, P1613, DOI 10.1080/24694452.2020.1715778
   Grove Kevin., 2018, Resilience
   Harris MichaelS., 1989, Urban Anthropology and Studies of Cultural Systems and World Economic Development, V18, P265
   Hart G, 2006, ANTIPODE, V38, P977, DOI 10.1111/j.1467-8330.2006.00489.x
   Hart G, 2018, PROG HUM GEOG, V42, P371, DOI 10.1177/0309132516681388
   Harvey David., 1996, JUSTICE NATURE GEOGR
   Heslop J, 2020, HOUSING STUD, V35, P1607, DOI 10.1080/02673037.2020.1722801
   Heynen N, 2016, PROG HUM GEOG, V40, P839, DOI 10.1177/0309132515617394
   Horner R, 2020, PROG HUM GEOG, V44, P415, DOI 10.1177/0309132519836158
   IFRC, 2007, Press release
   Imtiaz A., 2020, BBC
   Islam N., 1975, Survey of Urban Squatters in Dacca, Chittagong and Khulna: 1974
   Jacobs JM, 2012, PROG HUM GEOG, V36, P412, DOI 10.1177/0309132511421715
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Karim MF, 2008, GLOBAL ENVIRON CHANG, V18, P490, DOI 10.1016/j.gloenvcha.2008.05.002
   KHAN AAM, 1982, GEOGR REV, V72, P379, DOI 10.2307/214592
   Kimmelman Michael., 2017, The New York Times
   Koekkoek R, 2019, CAMB IMP POST-COL ST, P1, DOI 10.1007/978-3-030-27516-7_1
   Kuper S, 2020, FT Mag
   Lata LN, 2020, ENVIRON URBAN ASIA, V11, P218, DOI 10.1177/0975425320938520
   Lowe Lisa., 2015, The Intimacy of the Four Continents
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   MacLean S.J., 1997, New Political Econ, V2, P149
   Mark O, 2018, J FLOOD RISK MANAG, V11, pS28, DOI 10.1111/jfr3.12182
   MASSEY D, 1993, GEOGRAPHY, V78, P142
   Massey D. B., 2005, For Space
   Mbeki L, 2017, SLAVERY ABOLIT, V38, P95, DOI 10.1080/0144039X.2016.1159004
   McKittrick K, 2013, SMALL AXE, V17, P1, DOI 10.1215/07990537-2378892
   McVeigh T., 2014, The Guardian
   Mearns R., 2010, SOCIAL DIMENSIONS CL, DOI DOI 10.1596/978-0-8213-7887-8
   Nkwunonwo UC, 2020, SCI AFR, V7, DOI 10.1016/j.sciaf.2020.e00269
   Oostindie Gert., 2005, Paradise Overseas: The Dutch Caribbean: Colonialism and its Transatlantic Legacies
   Peck J, 2002, ANTIPODE, V34, P380, DOI 10.1111/1467-8330.00247
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Perry KK, 2020, ENERGY RES SOC SCI, V63, DOI 10.1016/j.erss.2019.101397
   Ponder CS, 2021, ANN AM ASSOC GEOGR, V111, P2112, DOI 10.1080/24694452.2020.1866487
   Pulido L, 2016, Flint, Environmental Racism, and Racial Capitalism, V27, P1
   Pulido L, 2017, PROG HUM GEOG, V41, P524, DOI 10.1177/0309132516646495
   Quadir F., 2000, Contemporary South Asia, V9, P197
   Rabbani G, 2011, LOCAL SUSTAIN, V1, P531, DOI 10.1007/978-94-007-0785-6_52
   Rahman MM, 2001, HABITAT INT, V25, P49, DOI 10.1016/S0197-3975(00)00026-6
   Ranganathan M, 2021, ANTIPODE, V53, P115, DOI 10.1111/anti.12555
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Rijkswaterstaat, 2021, Ruimte voor de rivieren
   Robinson Cedric., 2000, BLACK MARXISM MAKING
   Robinson J, 2016, PROG HUM GEOG, V40, P3, DOI 10.1177/0309132515598025
   Rommelse G, 2020, INT J MARIT HIST, V32, P533, DOI 10.1177/0843871420956493
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   Sealey-Huggins L, 2017, THIRD WORLD Q, V38, P2444, DOI 10.1080/01436597.2017.1368013
   Sen Sudipta., 1998, EMPIRE FREE TRADE E
   Sharma SE, 2023, REV INT POLIT ECON, V30, P1413, DOI 10.1080/09692290.2022.2100449
   Sharma SE, 2021, URBAN GEOGR, V42, P681, DOI 10.1080/02723638.2021.1949845
   Sharma SE, 2021, NEW POLIT ECON, V26, P1078, DOI 10.1080/13563467.2021.1899152
   Smirnova V, 2021, GEOGR J, V187, P16, DOI 10.1111/geoj.12370
   SMITH WD, 1984, J ECON HIST, V44, P985, DOI 10.1017/S0022050700033052
   Stafford P., 2021, FINANC TIMES
   Sur B, 2017, INDIAN HIST REV, V44, P62, DOI 10.1177/0376983617712811
   Tilley L, 2021, REV INT POLIT ECON, V28, P1099, DOI 10.1080/09692290.2020.1763423
   Tilley L, 2018, NEW POLIT ECON, V23, P534, DOI 10.1080/13563467.2017.1417366
   Tribune D, 2020, Dhaka Tribune
   UN, 2020, HCTT Response Plan: Monsoon Floods
   UN-Habitat, 2020, World Cities Report. The Value of Sustainable Urbanization
   UNISDR, 2018, UNISDR annual report 2017
   van Dijk E, 2014, WATER SCI TECHNOL, V69, P305, DOI 10.2166/wst.2013.699
   van Zoelen B., 2021, Het Parool
   Waternet, 2018, Amsterdam Rainproof
   Weiner MF, 2014, SOCIOL COMPASS, V8, P731, DOI 10.1111/soc4.12163
   Weststeijn A, 2014, ITINERARIO, V38, P13, DOI 10.1017/S0165115314000035
   Wilson K., 2012, Race, Racism and Development: Interrogating History, Discourse and Practice
   Worden Nigel., 1985, SLAVERY DUTCH S AFRI
   World Bank, 2017, Bangladesh Urban Resilience Project: Building partnerships, saving lives
   Zevenbergen C, 2013, NAT HAZARDS, V65, P1217, DOI 10.1007/s11069-012-0439-3
NR 109
TC 4
Z9 4
U1 8
U2 17
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 OCT
PY 2023
VL 145
AR 103817
DI 10.1016/j.geoforum.2023.103817
EA SEP 2023
PG 10
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA U1KJ3
UT WOS:001082458500001
DA 2025-04-22
ER

PT J
AU Wang, SS
   Xiao, SY
   Zhang, QD
   Sun, MZ
AF Wang, Susu
   Xiao, Suyang
   Zhang, Qidi
   Sun, Mengze
TI How Can Low-Carbon City Construction Enhance Urban Economic Resilience?
   A Mechanism Analysis Based on Industrial Agglomeration and Technological
   Innovation Effects
SO JOURNAL OF THE KNOWLEDGE ECONOMY
LA English
DT Article; Early Access
DE Low carbon city building; Economic resilience; Industrial agglomeration;
   Technological innovation
ID REGIONAL RESILIENCE; EUROPE; CRISIS
AB How to effectively enhance urban economic resilience from a policy perspective is an issue worth paying attention to. As an important institutional design for promoting green and sustainable economic development, has the national low-carbon city pilot policy had a significant impact on urban economic resilience? Based on the Panel data of 257 cities in China from 2005 to 2019, and according to the variation of low-carbon pilot policies in different cities and pilot times, this paper uses the difference in differences (DID) to estimate the impact of low-carbon city construction on economic resilience and discusses the mechanism of low-carbon city pilot policies on economic resilience. We find that compared with non-low-carbon pilot cities, low-carbon pilot cities have stronger economic resilience, indicating that low-carbon city construction significantly improves urban economic resilience. This policy effect is more obvious in non-resource cities and non-old industrial cities. The mechanism shows that low-carbon city pilot policies have an impact on urban economic resilience through industrial agglomeration and technological innovation effects. The results provide experience support for the policy of promoting the construction of low-carbon cities across China to give full play to the economic effects of pilot policies of low-carbon cities.
C1 [Wang, Susu] Liaocheng Univ, Sch Business, 1 Hunan Rd, Liaocheng 252000, Shandong, Peoples R China.
   [Xiao, Suyang] China Univ Geosci Wuhan, Sch Marxism, 388 Lumo Rd, Wuhan 430074, Hubei, Peoples R China.
   [Zhang, Qidi] Shandong Acad Social Sci, Inst Populat Res, ShunGeng Rd, Jinan 250000, Shandong, Peoples R China.
   [Sun, Mengze] Zhongnan Univ Econ & Law, Wenlan Sch Business, Lib, East Lake High Tech Dev Zone,182,Nanhu Ave, Wuhan 430073, Hubei, Peoples R China.
C3 Liaocheng University; China University of Geosciences; Zhongnan
   University of Economics & Law
RP Xiao, SY (corresponding author), China Univ Geosci Wuhan, Sch Marxism, 388 Lumo Rd, Wuhan 430074, Hubei, Peoples R China.
EM 2216848962@qq.com; xsy_suyang95@163.com; Q.D.Zhang@foxmail.com;
   526293241@qq.com
FU National Social Science Fund
FX The authors are grateful to all the people who helped complete this
   research and to the anonymous reviewers for their suggestions for
   improving the manuscript.
CR Acemoglu D, 2018, Nber Working Paper, P24196
   Angulo AM, 2018, ANN REGIONAL SCI, V60, P349, DOI 10.1007/s00168-017-0815-8
   Briguglio L., 2006, Constr, V1, P265, DOI DOI 10.22459/PIRIG.11.2005.03
   Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Brown C C, 2012, Research in Business and Economics Journal
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Cainelli G, 2019, PAP REG SCI, V98, P755, DOI 10.1111/pirs.12377
   Capello R, 2015, J ECON GEOGR, V15, P951, DOI 10.1093/jeg/lbu053
   Castaldi C, 2015, REG STUD, V49, P767, DOI 10.1080/00343404.2014.940305
   Cheng JH, 2019, J CLEAN PROD, V231, P1158, DOI 10.1016/j.jclepro.2019.05.327
   Cuadrado-Roura JR, 2016, CAMB J REG ECON SOC, V9, P153, DOI 10.1093/cjres/rsv034
   Cui S., 2019, Statistical Research, V36, P76
   Davies S, 2011, CAMB J REG ECON SOC, V4, P369, DOI 10.1093/cjres/rsr019
   Glaeser EL, 2013, J ECON SOCIOL, V14, P75, DOI 10.17323/1726-3247-2013-4-75-94
   Graetz G, 2018, REV ECON STAT, V100, P753, DOI 10.1162/rest_a_00754
   Gray W B, 2001, NBER Working Paper, Vw4321
   Gray WB, 2003, J ENVIRON ECON MANAG, V46, P384, DOI 10.1016/S0095-0696(03)00031-7
   Graziano P, 2016, SCI TOTAL ENVIRON, V553, P211, DOI 10.1016/j.scitotenv.2016.02.051
   Hu DX, 2022, TECHNOL SOC, V68, DOI 10.1016/j.techsoc.2022.101916
   Li YZ., 2016, Comparative Economic and Social Systems, V02, P174
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Martin R, 2015, CAMB J REG ECON SOC, V8, P141, DOI 10.1093/cjres/rsv012
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Polese M., 2015, Cities and Economic Change, V02, P73
   Porfiriev BN, 2017, ENVIRON HAZARDS-UK, V16, P165, DOI 10.1080/17477891.2017.1280000
   PORTER ME, 1995, J ECON PERSPECT, V9, P97, DOI 10.1257/jep.9.4.97
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   Rocchetta S, 2019, REG STUD, V53, P1421, DOI 10.1080/00343404.2019.1577552
   Sagan I, 2014, RAUMFORSCH RAUMORDN, V72, P153, DOI 10.1007/s13147-013-0266-3
   Sensier M, 2016, SPAT ECON ANAL, V11, P128, DOI 10.1080/17421772.2016.1129435
   Van Oort F, 2002, TIJDSCHR ECON SOC GE, V93, P344, DOI 10.1111/1467-9663.00207
   Yang SY, 2022, J CLEAN PROD, V341, DOI 10.1016/j.jclepro.2022.130858
   Zang C., 2021, Finance and Trade Research, V32, P27, DOI [10.19337/j.cnki.34-1093/f.2021.10.003, DOI 10.19337/J.CNKI.34-1093/F.2021.10.003]
   Zhang B.B., 2021, Econ. Rev, V5, P32, DOI [10.19361/j.er.2021.05.03, DOI 10.19361/J.ER.2021.05.03]
   Zhu S. J., 2023, Management World, V39, P1
NR 35
TC 3
Z9 3
U1 66
U2 119
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1868-7865
EI 1868-7873
J9 J KNOWL ECON
JI J. Knowl. Econ.
PD 2024 JUN 15
PY 2024
DI 10.1007/s13132-024-02140-3
EA JUN 2024
PG 23
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA UL8L7
UT WOS:001248305000009
DA 2025-04-22
ER

PT J
AU Yoshida, S
   Yagi, H
AF Yoshida, Shingo
   Yagi, Hironori
TI Long-Term Development of Urban Agriculture: Resilience and
   Sustainability of Farmers Facing the Covid-19 Pandemic in Japan
SO SUSTAINABILITY
LA English
DT Article
DE resilience; sustainability; urban agriculture; long-term development;
   regression analysis; direct marketing; entrepreneurship; social network
ID CORPORATE SOCIAL-RESPONSIBILITY; ENTREPRENEURIAL ORIENTATION;
   PERFORMANCE; HEALTH; DIVERSIFICATION; EMBEDDEDNESS; ATTRIBUTES;
   ALLOTMENT; GARDENERS; INSIGHTS
AB The coronavirus disease 2019 (Covid-19) pandemic has forced global food systems to face unprecedented uncertain shocks even in terms of human health. Urban agriculture is expected to be more resilient because of its short supply chain for urban people and diversified farming activities. However, the short-and long-term effects of the Covid-19 pandemic on urban farms remain unclear. This study aims to reveal the conditions for farm resilience to the Covid-19 pandemic in 2020 and the relationship between short-term farm resilience and long-term farm development using data from a survey of 74 farms located in Tokyo. The results are as follows. First, more than half of the sample farms increased their farm sales during this period. This resilience can be called the "persistence" approach. Second, short-term farm resilience and other sustainable farm activities contributed to improving farmers' intentions for long-term farm development and farmland preservation. Third, the most important resilience attributes were the direct marketing, entrepreneurship, and social networks of farmers. We discussed the necessity of building farmers' transformative capabilities for a more resilient urban farming system. These results imply that support to enhance the short-term resilience of urban farms is worth more than the short-term profit of the farms.
C1 [Yoshida, Shingo] Minist Agr Forestry & Fisheries, Policy Res Inst, Tokyo 1000013, Japan.
   [Yagi, Hironori] Univ Tokyo, Dept Agr & Resource Econ, Grad Sch Agr Life Sci, Tokyo 1138657, Japan.
C3 Ministry of Agriculture Forestry & Fisheries - Japan; University of
   Tokyo
RP Yoshida, S (corresponding author), Minist Agr Forestry & Fisheries, Policy Res Inst, Tokyo 1000013, Japan.
EM shingo_yoshida610@maff.go.jp; ayouken@mail.ecc.u-tokyo.ac.jp
OI Yagi, Hironori/0000-0001-9959-1186
FU Japan Society for the Promotion of Science [19092455]
FX This research was funded by the Japan Society for the Promotion of
   Science (grant number 19092455).
CR Akgün AA, 2010, TIJDSCHR ECON SOC GE, V101, P538, DOI 10.1111/j.1467-9663.2010.00630.x
   Altieri MA, 2020, J PEASANT STUD, V47, P881, DOI 10.1080/03066150.2020.1782891
   Azunre GA, 2019, CITIES, V93, P104, DOI 10.1016/j.cities.2019.04.006
   Barton J, 2010, ENVIRON SCI TECHNOL, V44, P3947, DOI 10.1021/es903183r
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Blundel R, 2002, ENTREP REGION DEV, V14, P1, DOI 10.1080/08985620110094647
   Bryant C.R., 1992, Agriculture in the city's countryside
   Chang HH, 2019, AUST J AGR RESOUR EC, V63, P521, DOI 10.1111/1467-8489.12304
   Chen YC, 2012, IND MARKET MANAG, V41, P1019, DOI 10.1016/j.indmarman.2012.01.017
   Clerino P, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187503
   COVIN JG, 1989, STRATEGIC MANAGE J, V10, P75, DOI 10.1002/smj.4250100107
   Darnhofer I., 2015, CASE STUDY REP AUSTR
   Darnhofer I., 2014, P 11 EUR IFSA S FARM, P1
   Darnhofer I, 2014, EUR REV AGRIC ECON, V41, P461, DOI 10.1093/erae/jbu012
   Darnhofer I, 2010, INT J AGR SUSTAIN, V8, P186, DOI 10.3763/ijas.2010.0480
   Du ZX, 2020, J INTEGR AGR, V19, P2877, DOI 10.1016/S2095-3119(20)63390-1
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gellynck X, 2015, AGRIBUSINESS, V31, P91, DOI 10.1002/agr.21394
   Guitart D, 2012, URBAN FOR URBAN GREE, V11, P364, DOI 10.1016/j.ufug.2012.06.007
   Gulyas BZ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031465
   Harada K, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18020542
   Ikejima Y., 2019, International Journal of Sociology of Agriculture and Food, V25, P21
   Jack SL, 2002, J BUS VENTURING, V17, P467, DOI 10.1016/S0883-9026(01)00076-3
   Kurita H, 2009, GEOGR TIDSSKR-DEN, V109, P147, DOI 10.1080/00167223.2009.10649604
   Lange A, 2013, LAND USE POLICY, V31, P136, DOI 10.1016/j.landusepol.2012.02.010
   Lebacq T, 2013, AGRON SUSTAIN DEV, V33, P311, DOI 10.1007/s13593-012-0121-x
   Litt JS, 2015, SOC SCI MED, V144, P1, DOI 10.1016/j.socscimed.2015.09.004
   Litt JS, 2011, AM J PUBLIC HEALTH, V101, P1466, DOI 10.2105/AJPH.2010.300111
   Lovell S. T., 2010, Sustainability, V2, P2499, DOI 10.3390/su2082499
   Mastronardi L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145709
   McKeever E, 2015, J BUS VENTURING, V30, P50, DOI 10.1016/j.jbusvent.2014.07.002
   McWilliams A, 2001, ACAD MANAGE REV, V26, P117, DOI 10.5465/AMR.2001.4011987
   Meul M, 2008, AGRON SUSTAIN DEV, V28, P321, DOI 10.1051/agro:2008001
   Meuwissen M.P.M., 2018, REPORT RESILIENCE FR
   Meuwissen M.P.M., 2020, STRUGGLE FARMING SYS
   Meuwissen MPM, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102656
   Micheels ET., 2017, Agricultural and Food Economics, V5, DOI [DOI 10.1186/S40100-017-0079-8, DOI 10.1080/07352689.2011.554355]
   MILLER D, 1983, MANAGE SCI, V29, P770, DOI 10.1287/mnsc.29.7.770
   Nera E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010343
   Nicholls E, 2020, SUSTAIN SCI, V15, P1585, DOI 10.1007/s11625-020-00792-z
   Piorr A., 2018, Research for AGRI Committee-Urban and periurban agriculture in the EU
   Pölling B, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071168
   Pulighe G, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071846
   Ramachandran V, 2011, CORP SOC RESP ENV MA, V18, P285, DOI 10.1002/csr.251
   Reidsma P., 2020, D5 6 IMPACTS IMPROVE
   Santo R., 2016, VACANT LOTS VIBRANT
   Savary S, 2020, FOOD SECUR, V12, P695, DOI 10.1007/s12571-020-01093-0
   Shane S, 2000, ACAD MANAGE REV, V25, P217, DOI 10.5465/amr.2000.2791611
   Sioen GB, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020435
   Soga M, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14010071
   Soininen J, 2012, INT J PROD ECON, V140, P614, DOI 10.1016/j.ijpe.2011.05.029
   Soriano B., 2020, D 2 6 REPORT STATE O
   Spiegel A., 2020, RISK MANAGEMENT ITS
   Stam W, 2008, ACAD MANAGE J, V51, P97
   Tang GY, 2015, ASIA PAC J HUM RESOU, V53, P163, DOI 10.1111/1744-7941.12053
   Teitel-Payne R., 2016, Indicators for Urban Agriculture in Toronto: a scoping analysis
   Van Calker KJ, 2005, AGR HUM VALUES, V22, P53, DOI [10.1004/s10460-004-7230-3, 10.1007/s10460-004-7230-3]
   van den Berg AE, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-74
   Walker B, 2004, ECOL SOC, V9
   Yokohari M., 2000, Urban Ecology: An International Perspective on the Interaction between Humans and Nature, P783, DOI 10.1007/978-0-387-73412-5_50
   Yoshida S, 2020, LAND-BASEL, V9, DOI 10.3390/land9090315
   Yoshida S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102887
   ZAHRA SA, 1995, J BUS VENTURING, V10, P43, DOI 10.1016/0883-9026(94)00004-E
   Zhang JA, 2016, IND MARKET MANAG, V59, P131, DOI 10.1016/j.indmarman.2016.02.018
NR 64
TC 30
Z9 34
U1 10
U2 98
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2021
VL 13
IS 8
AR 4316
DI 10.3390/su13084316
PG 23
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 RU7IQ
UT WOS:000645317800001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Chen, H
   Xiang, YH
AF Chen, Han
   Xiang, Yuhui
TI The Accelerating Loss of Resilience in Suburban Woodlands Can Largely Be
   Attributed to the Changes in Urban Precipitation Patterns
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE altered precipitation pattern; critical slowing down; normalized
   difference vegetation index; recovery rate; suburban woodlands;
   vegetation resilience
ID FLUCTUATION-DISSIPATION; FOREST; BIODIVERSITY
AB Vegetation resilience holds significant importance for stabilizing ecosystem service functions in a changing climate. While global land surface vegetation resilience changes have been extensively studied, the impact of urbanization on the resilience of suburban woodlands remains inadequately understood. In this study, we utilized two critical slowing down (CSD) indicators, namely lag-one autocorrelation (LOA) and variance (VA), to assess the vegetation resilience, its long-term trends, and influencing factors in suburban woodlands across 1356 cities worldwide. The recovery rates estimated by LOA (rr1$$ {r}_{r_1} $$) and VA (rr2$$ {r}_{r_2} $$) showed close alignment in suburban woodlands with low suburban forest coverage (SFC) areas (correlation coefficient (r) = 0.95). However, a notable divergence was observed in areas with high SFC (r = 0.73). Suburban woodlands with high SFC typically exhibited lower recovery rate estimates, thus indicating greater vegetation resilience compared to areas with lower SFC. From 1986 to 2022, the recovery rates of suburban woodland areas in over 83% of the cities demonstrated a significant upward trend, with an average of 3.23 x 10-3 year-1 for both rr1$$ {r}_{r_1} $$ and rr2$$ {r}_{r_2} $$, signifying a widespread decline in vegetation resilience. The accelerating pace of urbanization led to higher rising rates of rr1$$ {r}_{r_1} $$ and rr2$$ {r}_{r_2} $$ during 2010-2022 (5.11 x 10-3 year-1) compared to 1986-1999 (0.49 x 10-3 year-1). The notable decrease in resilience of forestland was primarily attributed to reduced precipitation in urban suburbs, which can be explained by urbanization-induced heat island and building barrier effects, causing a shift of precipitation center from urban suburbs to central cities. In summary, this study revealed that urbanization diminishes the vegetation resilience of urban suburban woodlands by altering urban precipitation patterns. These findings underscore the necessity of augmenting water availability in urban suburbs to restore resilience in these woodlands, thereby enhancing their ecosystem service value.
   This study assessed long-term changes in vegetation resilience across 1356 urban-suburban forests globally. Results indicated a general decline in vegetation resilience linked to urbanization. Attribution analysis revealed that this decline was primarily driven by changes in the spatial distribution of urban rainfall. Specifically, as precipitation shifted from suburban to urban areas, the reduced water availability in suburban forests contributed to the observed decrease in vegetation resilience. These findings highlight the significant impact of altered rainfall patterns on the health of urban-suburban ecosystems, emphasizing the need for sustainable water management in the face of urban expansion.image
C1 [Chen, Han] Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin, Peoples R China.
   [Chen, Han] Tianjin Univ, Tianjin Bohai Rim Coastal Earth Crit Zone Natl Obs, Tianjin, Peoples R China.
   [Xiang, Yuhui] Oregon State Univ, Mech Ind & Mfg Engn, Corvallis, OR USA.
C3 Tianjin University; Tianjin University; Oregon State University
RP Chen, H (corresponding author), Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin, Peoples R China.; Chen, H (corresponding author), Tianjin Univ, Tianjin Bohai Rim Coastal Earth Crit Zone Natl Obs, Tianjin, Peoples R China.
EM hanchen@tju.edu.cn
OI Han, Chen/0000-0001-6118-6222
FU National Natural Science Foundation of China;  [42101033]
FX This research has been supported by the National Natural Science
   Foundation of China under the grant number 42101033. We thank the
   anonymous reviewers for their valuable suggestions that allowed us to
   improve the paper.
CR Bastos A, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba2724
   Belgiu M, 2016, ISPRS J PHOTOGRAMM, V114, P24, DOI 10.1016/j.isprsjprs.2016.01.011
   Boers N, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac8944
   Boulton CA, 2022, NAT CLIM CHANGE, V12, P271, DOI 10.1038/s41558-022-01287-8
   Cabon A, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16826
   Camps-Valls G, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abc7447
   Carpenter SR, 2006, ECOL LETT, V9, P308, DOI 10.1111/j.1461-0248.2005.00877.x
   Ciemer C, 2019, NAT GEOSCI, V12, P174, DOI 10.1038/s41561-019-0312-z
   Cochrane MA, 2003, NATURE, V421, P913, DOI 10.1038/nature01437
   Dakos V, 2008, P NATL ACAD SCI USA, V105, P14308, DOI 10.1073/pnas.0802430105
   Dakos V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5767
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Forzieri G, 2022, NATURE, V608, P534, DOI 10.1038/s41586-022-04959-9
   Fung CKW, 2019, URBAN FOR URBAN GREE, V42, P100, DOI 10.1016/j.ufug.2019.05.014
   Gao S, 2023, REMOTE SENS ENVIRON, V295, DOI 10.1016/j.rse.2023.113665
   Giometto MG, 2016, BOUND-LAY METEOROL, V160, P425, DOI 10.1007/s10546-016-0157-6
   Guneralp B, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6669
   Hirota M, 2011, SCIENCE, V334, P232, DOI 10.1126/science.1210657
   Hoelscher MT, 2016, ENERG BUILDINGS, V114, P283, DOI 10.1016/j.enbuild.2015.06.047
   Horwitz P., 2008, J Royal Soc West Aust, V91, P1
   KUBO R, 1966, REP PROG PHYS, V29, P255, DOI 10.1088/0034-4885/29/1/306
   Lenney MP, 1996, REMOTE SENS ENVIRON, V56, P8, DOI 10.1016/0034-4257(95)00152-2
   Liu J, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-42494-2
   Liu XP, 2020, NAT SUSTAIN, V3, P564, DOI 10.1038/s41893-020-0521-x
   Marconi UMB, 2008, PHYS REP, V461, P111, DOI 10.1016/j.physrep.2008.02.002
   Mohajerani A, 2017, J ENVIRON MANAGE, V197, P522, DOI 10.1016/j.jenvman.2017.03.095
   Muñoz-Sabater J, 2021, EARTH SYST SCI DATA, V13, P4349, DOI 10.5194/essd-13-4349-2021
   Mutanga O, 2004, INT J REMOTE SENS, V25, P3999, DOI 10.1080/01431160310001654923
   Nezami S, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12071070
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Purevdorj T, 1998, INT J REMOTE SENS, V19, P3519, DOI 10.1080/014311698213795
   Scheffer M, 2009, NATURE, V461, P53, DOI 10.1038/nature08227
   Smith T, 2023, NAT ECOL EVOL, V7, DOI 10.1038/s41559-023-02194-7
   Smith T, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36207-7
   Smith T, 2022, NAT CLIM CHANGE, V12, P477, DOI 10.1038/s41558-022-01352-2
   Srivastava S, 2019, REMOTE SENS ENVIRON, V228, P129, DOI 10.1016/j.rse.2019.04.014
   Tamiminia H, 2020, ISPRS J PHOTOGRAMM, V164, P152, DOI 10.1016/j.isprsjprs.2020.04.001
   Veraart AJ, 2012, NATURE, V481, P357, DOI 10.1038/nature10723
   Verbesselt J, 2016, NAT CLIM CHANGE, V6, P1028, DOI [10.1038/nclimate3108, 10.1038/NCLIMATE3108]
   Wang HC, 2024, GLOBAL CHANGE BIOL, V30, DOI 10.1111/gcb.17000
   Wang H, 2024, GLOBAL CHANGE BIOL, V30, DOI 10.1111/gcb.17006
   Wang Q, 2023, ISPRS J PHOTOGRAMM, V195, P408, DOI 10.1016/j.isprsjprs.2022.12.019
   Yang L, 2020, NEUROCOMPUTING, V415, P295, DOI 10.1016/j.neucom.2020.07.061
   Yang L, 2019, GEOPHYS RES LETT, V46, P5918, DOI 10.1029/2019GL083363
   Yao Y, 2024, GLOBAL CHANGE BIOL, V30, DOI 10.1111/gcb.17291
   Yue S, 2004, WATER RESOUR MANAG, V18, P201, DOI 10.1023/B:WARM.0000043140.61082.60
   Zhang JH, 2023, J GEOPHYS RES-ATMOS, V128, DOI 10.1029/2022JD038430
   Zhang X, 2019, SCI TOTAL ENVIRON, V693, DOI 10.1016/j.scitotenv.2019.07.342
   Zhao M, 2022, EARTH SYST SCI DATA, V14, P517, DOI 10.5194/essd-14-517-2022
NR 49
TC 0
Z9 0
U1 19
U2 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD OCT
PY 2024
VL 30
IS 10
AR e17548
DI 10.1111/gcb.17548
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA J6M9Y
UT WOS:001338201200001
PM 39440462
DA 2025-04-22
ER

PT J
AU Cui, Z
   Zang, D
   Zhu, H
   Tang, KS
AF Cui, Zhe
   Zang, Di
   Zhu, Hong
   Tang, Keshuang
TI Predictive and Multigranularity Resilience Assessment of Urban
   Transportation Based on Neural Controlled Differential Equation
SO IEEE TRANSACTIONS ON RELIABILITY
LA English
DT Article; Early Access
DE Resilience; Predictive models; Mathematical models; Adaptation models;
   Vectors; Roads; Real-time systems; Forecasting; Feature extraction; Data
   models; Deep learning; multigranularity disturbance propagation model;
   real-time resilience assessment; traffic forecasting; urban
   transportation
AB Crafting a dynamic and accurate resilience assessment method for urban transportation, marked by complex road networks and frequent disturbances, poses a significant challenge. Existing work mainly focuses on statically assessing historical traffic resilience and cannot dynamically divide spatial regions according to disturbance scales. In this article, we propose a predictive and multigranularity assessment method. First, we develop an attention-based spatial-temporal hypergraph neural controlled differential equation model, which can accurately predict traffic conditions under disturbances. Second, we construct a multigranularity disturbance propagation model that adaptively divides a traffic network into multiple granularities according to disturbance scales. Then, we design a real-time resilience assessment algorithm capable of quantifying spatial-temporal dynamic resilience indicators for each granularity area. Extensive experiments on urban transportation in California during heavy rainfall reveal an inverse relationship between California's resilience and rainfall intensity. In addition, its downtown exhibits strong resilience, while coastal and interior areas show relatively weaker resilience, with some interior areas experiencing prolonged recovery times.
C1 [Cui, Zhe; Zang, Di] Tongji Univ, Dept Comp Sci & Technol, Shanghai 200092, Peoples R China.
   [Cui, Zhe; Zang, Di] Tongji Univ, Key Lab Embedded Syst & Serv Comp, Minist Educ, Shanghai 200092, Peoples R China.
   [Zhu, Hong; Tang, Keshuang] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai 200092, Peoples R China.
   [Tang, Keshuang] Tongji Univ, Coll Transportat Engn, Shanghai 200092, Peoples R China.
C3 Tongji University; Tongji University; Tongji University; Tongji
   University
RP Zang, D (corresponding author), Tongji Univ, Dept Comp Sci & Technol, Shanghai 200092, Peoples R China.; Zang, D (corresponding author), Tongji Univ, Key Lab Embedded Syst & Serv Comp, Minist Educ, Shanghai 200092, Peoples R China.
EM cuizhe117@tongji.edu.cn; zangdi@tongji.edu.cn;
   hongzhu1990@tongji.edu.cn; tang@tongji.edu.cn
RI 朱, 宏/HHC-2421-2022; Tang, Keshuang/JNF-0115-2023
OI Tang, Keshuang/0000-0002-0476-0512; cui, zhe/0009-0004-4237-8922; Zang,
   Di/0000-0003-4869-2715; ZHU, Hong/0000-0003-0358-6724
FU National Natural Science Foundation of China [62476200, 61876218,
   52302414]; Fundamental Research Funds for the Central Universities
FX This work was supported in part by the National Natural Science
   Foundation of China under Grant 62476200, Grant 61876218, and Grant
   52302414; and in part by the Fundamental Research Funds for the Central
   Universities.
CR [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]
   BLACK F, 1973, J POLIT ECON, V81, P637, DOI 10.1086/260062
   Chen HR, 2022, PHYSICA A, V600, DOI 10.1016/j.physa.2022.127592
   Chen JQ, 2023, TRANSPORT RES D-TR E, V121, DOI 10.1016/j.trd.2023.103841
   Chen JQ, 2022, IEEE T INTELL TRANSP, V23, P24841, DOI 10.1109/TITS.2022.3195937
   Chen R.T., 2018, P ADV NEUR INF PROC, V31
   Chen Zexi, 2023, 2023 7th International Conference on Transportation Information and Safety (ICTIS), P521, DOI 10.1109/ICTIS60134.2023.10243879
   Choi J, 2023, ACM T INTEL SYST TEC, V14, DOI 10.1145/3604808
   Choi J, 2022, AAAI CONF ARTIF INTE, P6367
   Deng AL, 2021, AAAI CONF ARTIF INTE, V35, P4027
   Fang MQ, 2024, IEEE T COMPUT SOC SY, V11, P5354, DOI 10.1109/TCSS.2024.3356549
   Fang Z, 2021, KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, P364, DOI 10.1145/3447548.3467430
   Feng R, 2023, IEEE T INTELL TRANSP, V24, P14695, DOI 10.1109/TITS.2023.3304089
   Feng YF, 2019, AAAI CONF ARTIF INTE, P3558
   Ghadami A, 2022, IEEE T INTELL TRANSP, V23, P10803, DOI 10.1109/TITS.2021.3095897
   Guo SN, 2022, IEEE T KNOWL DATA EN, V34, P5415, DOI 10.1109/TKDE.2021.3056502
   Guo YB, 2023, NEURAL NETWORKS, V165, P491, DOI 10.1016/j.neunet.2023.05.052
   Guo YB, 2024, IEEE T NEUR NET LEAR, V35, P8241, DOI 10.1109/TNNLS.2022.3226301
   Guo ZJ, 2024, IEEE T RELIAB, V73, P1034, DOI 10.1109/TR.2023.3344726
   Huan CY, 2022, PROC INT CONF DATA, P578, DOI 10.1109/ICDE53745.2022.00048
   Janic M, 2019, TRANSPORT RES D-TR E, V77, P425, DOI 10.1016/j.trd.2019.02.011
   Jhin SY, 2021, KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, P736, DOI 10.1145/3447548.3467419
   Jiang RH, 2023, AAAI CONF ARTIF INTE, P8078
   Jin M, 2023, IEEE T KNOWL DATA EN, V35, P9168, DOI 10.1109/TKDE.2022.3221989
   Kidger Patrick, 2020, ADV NEUR IN, V33
   Kong XX, 2024, IEEE T RELIAB, V73, P245, DOI 10.1109/TR.2023.3294264
   Li CQ, 2020, TRANSPORT RES D-TR E, V85, DOI 10.1016/j.trd.2020.102395
   Li YG, 2018, Arxiv, DOI [arXiv:1707.01926, 10.48550/arXiv.1707.01926]
   Liu AY, 2024, IEEE T INTELL TRANSP, V25, P7645, DOI 10.1109/TITS.2024.3362145
   Martello MV, 2021, TRANSPORT RES D-TR E, V97, DOI 10.1016/j.trd.2021.102908
   Morrill J., 2021, arXiv
   Nie FP, 2023, IEEE T KNOWL DATA EN, V35, P3433, DOI 10.1109/TKDE.2022.3155450
   Nogal M, 2019, RELIAB ENG SYST SAFE, V185, P72, DOI 10.1016/j.ress.2018.12.013
   Duy PN, 2019, TRAVEL BEHAV SOC, V15, P28, DOI 10.1016/j.tbs.2018.11.001
   Qi QJ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811555
   Sohouenou PYR, 2020, INT J CRIT INFR PROT, V29, DOI 10.1016/j.ijcip.2020.100353
   Song C, 2020, AAAI CONF ARTIF INTE, V34, P914
   Vaswani A., 2017, Attention is All You Need, P6000
   Wei Y, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13063964
   Wong A, 2020, TRANSPORT RES E-LOG, V143, DOI 10.1016/j.tre.2020.102068
   Wu J, 2019, 2019 5TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS 2019), P252, DOI 10.1109/ICTIS.2019.8883849
   Xiao WY, 2022, TRANSPORT RES D-TR E, V110, DOI 10.1016/j.trd.2022.103428
   Xiong N, 2023, IEEE IJCNN, DOI 10.1109/IJCNN54540.2023.10191212
   Xu ZZ, 2022, IEEE T INTELL TRANSP, V23, P12688, DOI 10.1109/TITS.2021.3116667
   Yang L, 2023, IEEE T INTELL TRANSP, V24, P7717, DOI 10.1109/TITS.2022.3193909
   Yang SL, 2023, IEEE T COMPUT IMAG, V9, P29, DOI 10.1109/TCI.2023.3240087
   Yao KS, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-7364
   Yin JT, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108183
NR 48
TC 0
Z9 0
U1 8
U2 8
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 0018-9529
EI 1558-1721
J9 IEEE T RELIAB
JI IEEE Trans. Reliab.
PD 2024 DEC 27
PY 2024
DI 10.1109/TR.2024.3514712
EA DEC 2024
PG 15
WC Computer Science, Hardware & Architecture; Computer Science, Software
   Engineering; Engineering, Electrical & Electronic
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering
GA Q6J8V
UT WOS:001385726800001
DA 2025-04-22
ER

PT J
AU Fu, SK
   Liu, JB
   Wang, JW
   Tian, JL
   Li, XF
AF Fu, Shuke
   Liu, Jiabei
   Wang, Jinwei
   Tian, Jiali
   Li, Xiaofan
TI Enhancing urban ecological resilience through integrated green
   technology progress: evidence from Chinese cities
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article; Early Access
DE Ecological resilience; Green technology progress; Coupling coordination
   degree; Threshold effects
ID CARBON EMISSIONS; URBANIZATION; MODEL
AB The effective resolution of environmental pollution caused by carbon haze through coordinated progress in green technology and urban ecological resilience is a crucial approach towards promoting sustainable development in Chinese cities. In this study, panel data from 281 cities in China from 2007 to 2019 were analyzed using the entropy method and the coupling coordination degree model to determine the coupling coordination degree between green technology progress and urban ecological resilience. The coordinated influence model and threshold model were applied to investigate coupled coordination types and influencing factors. Results indicate that green technology progress levels have shown an upward trend with increasing volatility from east to west and decreasing volatility with urban scale expansion. Ecological resilience levels have also steadily increased, albeit at a reduced rate. The coupling coordination degree of green technology progress and urban ecological resilience has evolved overall from low to high levels; however, the coupling coordination type has regressed to some extent, with most regions exhibiting lagging green technological progress. Pressure resilience has a positive impact on the coupling coordination degree, while state resilience and response resilience have a negative impact. Green technology progress has a dual threshold effect on the coupling coordination degree. By exploring the coupling and coordination mechanism between green technology progress and urban ecological resilience, this study not only facilitates collaborative management of pollutants and greenhouse gases in cities but also provides a comprehensive reference for the construction of an institutional system for collaborative carbon and haze management.
C1 [Fu, Shuke; Liu, Jiabei; Tian, Jiali; Li, Xiaofan] Wuhan Inst Technol, Sch Law & Business, Wuhan 430205, Peoples R China.
   [Fu, Shuke; Tian, Jiali; Li, Xiaofan] Wuhan Inst Technol, Ctr High Qual Collaborat Dev Resources Environm &, Wuhan 430205, Peoples R China.
   [Wang, Jinwei] Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan 430205, Peoples R China.
   [Wang, Jinwei] Hubei Univ Econ, Wuhan 430205, Peoples R China.
C3 Wuhan Institute of Technology; Wuhan Institute of Technology; Hubei
   University of Economics
RP Tian, JL (corresponding author), Wuhan Inst Technol, Sch Law & Business, Wuhan 430205, Peoples R China.; Tian, JL (corresponding author), Wuhan Inst Technol, Ctr High Qual Collaborat Dev Resources Environm &, Wuhan 430205, Peoples R China.
EM tjl@wit.edu.cn
RI , Xiaofanli/J-4497-2019
OI Li, Xiaofan/0009-0009-6572-7220
FU MOE (Ministry of Education in China) Project of Humanities and Social
   Sciences and Soft science research project of Science [18YJCZH029];
   Wuhan-Shuguang project [2022010801020365]; Statistical Research Project
   of National Bureau of Statistics in China [2022LY057]; Social Science
   Foundation of Hubei Province [HBSK2022YB336, HBSK2022YB339]; Open
   Funding of Collaborative Innovation Center for Emissions Trading system
   Co-constructed by the Province and Ministry [22CICETS-YB028]; Social
   Science Foundation of Wuhan Institute of Technology [R202105]; 2022
   Major Project of Hubei Higher Education Institutions for Philosophical
   and Social Science Research; Leading Hubei's High-Quality Development by
   Constructing a National Advance Zone for Building a New Development
   Pattern; 2022 General Research Project of Hubei Provincial Department of
   Education in Philosophy and Social Science; Research on the Impact of
   Digital Economy on Carbon Emission of Energy Consumption under the Goal
   of "Double Carbon"; 2022 General Research Project of Hubei Provincial
   Department of Education in Philosophy and Social Sciences; Research on
   the Mechanism, Effect and Policy of Regional Collaborative Governance of
   Pollution and Carbon Reduction Driven by Digital Economy; Research Fund
   Project of Wuhan Institute of Technology [K202248]; Graduate Innovative
   Fund of Wuhan Institute of Technology [CX2022385]
FX This research was funded by the MOE (Ministry of Education in China)
   Project of Humanities and Social Sciences and Soft science research
   project of Science (No. 18YJCZH029). The authors would also like to
   acknowledge financial support from the youth talent project of
   Wuhan-Shuguang project (No. 2022010801020365), the Statistical Research
   Project of National Bureau of Statistics in China (No. 2022LY057),
   Social Science Foundation of Hubei Province (No. HBSK2022YB336,
   HBSK2022YB339), Open Funding of Collaborative Innovation Center for
   Emissions Trading system Co-constructed by the Province and Ministry
   (No. 22CICETS-YB028), Social Science Foundation of Wuhan Institute of
   Technology (No. R202105), 2022 Major Project of Hubei Higher Education
   Institutions for Philosophical and Social Science Research, Leading
   Hubei's High- Quality Development by Constructing a National Advance
   Zone for Building a New Development Pattern, 2022 General Research
   Project of Hubei Provincial Department of Education in Philosophy and
   Social Science, Research on the Impact of Digital Economy on Carbon
   Emission of Energy Consumption under the Goal of "Double Carbon," 2022
   General Research Project of Hubei Provincial Department of Education in
   Philosophy and Social Sciences, Research on the Mechanism, Effect and
   Policy of Regional Collaborative Governance of Pollution and Carbon
   Reduction Driven by Digital Economy, Research Fund Project of Wuhan
   Institute of Technology (No. K202248), and the Graduate Innovative Fund
   of Wuhan Institute of Technology (No. CX2022385).
CR Baumgärtner S, 2011, ECOL SOC, V16, DOI 10.5751/ES-04392-160409
   Behera P, 2022, ENVIRON SCI POLLUT R, V29, P52940, DOI 10.1007/s11356-022-19458-7
   Chambers RG, 2020, AM J AGR ECON, V102, P1198, DOI 10.1002/ajae.12090
   Chen GN, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062356
   Chen M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12062819
   Chen YT, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.885976
   Cheng YF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15076159
   Chuang WC, 2018, J ENVIRON MANAGE, V213, P353, DOI 10.1016/j.jenvman.2018.01.083
   Dakos V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5767
   Davidson K, 2019, CITIES, V92, P1, DOI 10.1016/j.cities.2019.03.012
   Deng Y, 2021, FRONT ENERGY RES, V9, DOI 10.3389/fenrg.2021.661719
   Dennis M, 2016, URBAN ECOSYST, V19, P1063, DOI 10.1007/s11252-016-0551-3
   Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003
   Dong F, 2022, ENVIRON SCI POLLUT R, V29, P35780, DOI 10.1007/s11356-022-18581-9
   Dong XJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041321
   Dong ZQ, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106773
   Eleftheriadou D, 2021, COMPUTER, V54, P70, DOI 10.1109/MC.2021.3064439
   Falk DA, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00275
   Fei S, 2023, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.1121071
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-09088-210444
   Fukuyama H., 2009, Socio-Economic Planning Sciences, V43, P274, DOI [10.1016/j.seps.2008.12.001, DOI 10.1016/J.SEPS.2008.12.001]
   Gao YQ, 2023, ENVIRON SCI POLLUT R, V30, P27013, DOI 10.1007/s11356-022-24135-w
   Ge L, 2022, ENVIRON SCI POLLUT R, V29, P66295, DOI 10.1007/s11356-022-20501-w
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Hansen BE, 1996, ECONOMETRICA, V64, P413, DOI 10.2307/2171789
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hussain Z, 2022, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.816697
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Ji X, 2019, COMPUT ECON, V54, P1391, DOI 10.1007/s10614-017-9663-y
   Ji YL, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010484
   Jin SL, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.893194
   Chu LK, 2022, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-022-19221-y
   Li C, 2019, J CLEAN PROD, V209, P572, DOI 10.1016/j.jclepro.2018.10.235
   Li D, 2023, ENVIRON SCI POLLUT R, V30, P34793, DOI 10.1007/s11356-022-24696-w
   Li YF, 2012, J ENVIRON MANAGE, V98, P127, DOI 10.1016/j.jenvman.2011.12.025
   Li Y, 2018, ENVIRON INT, V113, P184, DOI 10.1016/j.envint.2018.02.006
   Lin WF, 2024, APPL ECON, V56, P5035, DOI 10.1080/00036846.2023.2227421
   Lin WF, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118342
   Liu YB, 2023, J ENVIRON SCI, V126, P806, DOI 10.1016/j.jes.2022.03.025
   Mundaca L, 2016, APPL ENERG, V179, P1372, DOI 10.1016/j.apenergy.2015.10.098
   Nikinmaa L, 2020, CURR FOR REP, V6, P61, DOI 10.1007/s40725-020-00110-x
   Peng JC, 2023, ENERGY SUSTAIN DEV, V73, P263, DOI 10.1016/j.esd.2023.02.002
   Peng JC, 2023, ENERGIES, V16, DOI 10.3390/en16041564
   Pickett STA, 2014, BUILD RES INF, V42, P143, DOI 10.1080/09613218.2014.850600
   Pu ZN, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.894085
   Qi YY, 2022, ENVIRON SCI POLLUT R, V29, P23303, DOI 10.1007/s11356-021-17036-x
   Song ML, 2017, RESOUR CONSERV RECY, V122, P261, DOI 10.1016/j.resconrec.2017.03.001
   Tang Y, 2023, ENVIRON SCI POLLUT R, V30, P41299, DOI 10.1007/s11356-023-25155-w
   Tong YJ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15064828
   Uehara T, 2013, ECOL ECON, V93, P374, DOI 10.1016/j.ecolecon.2013.06.014
   Wang CG, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192114084
   Wang H, 2023, ENERG ECON, V123, DOI 10.1016/j.eneco.2023.106751
   Wang H, 2023, J ENVIRON MANAGE, V325, DOI 10.1016/j.jenvman.2022.116524
   Wang MY, 2021, J ENVIRON MANAGE, V297, DOI 10.1016/j.jenvman.2021.113282
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang YQ, 2021, CLEAN TECHNOL ENVIR, V23, P1785, DOI 10.1007/s10098-021-02060-9
   Wen Y, 2023, ENVIRON IMPACT ASSES, V100, DOI 10.1016/j.eiar.2023.107095
   Wu X, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102354
   Xie WC, 2020, FRONT ENERGY RES, V8, DOI 10.3389/fenrg.2020.598141
   Xu X, 2023, INT J ENV RES PUB HE, V20, DOI 10.3390/ijerph20010413
   Yang B., 2022, Technol Soc, V71, P131, DOI [10.19639/j.cnki.issn1003-5230.2022.0074, DOI 10.19639/J.CNKI.ISSN1003-5230.2022.0074]
   Yang M, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191911988
   Yuan Y, 2022, ECOL ENG, V175, DOI 10.1016/j.ecoleng.2021.106486
   Zhang F, 2020, P NATL ACAD SCI USA, V117, P3960, DOI 10.1073/pnas.1919343117
   Zhang LJ, 2023, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-023-28614-6
   Zhang MF, 2022, J CLEAN PROD, V363, DOI 10.1016/j.jclepro.2022.132461
   Zhang RL, 2021, RENEW ENERG, V178, P679, DOI 10.1016/j.renene.2021.06.119
   Zhang X, 2023, ENVIRON SCI POLLUT R, V30, P14190, DOI 10.1007/s11356-022-23183-6
   Zhou Y, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102701
NR 69
TC 16
Z9 16
U1 20
U2 108
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 2023 AUG 28
PY 2023
DI 10.1007/s11356-023-29451-3
EA AUG 2023
PG 18
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA R3ZW7
UT WOS:001063775400007
PM 37639096
DA 2025-04-22
ER

PT J
AU Cheng, XM
   Ge, FT
   Xu, MR
   Li, Y
AF Cheng, Xuanmei
   Ge, Fangting
   Xu, Mark
   Li, Ying
TI The heat island effect, digital technology, and urban economic
   resilience: Evidence from China
SO TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
LA English
DT Article
DE Urban economic resilience; Digital technology; Heat island effect;
   Talent gathering; Regional advantage
ID GREEN INFRASTRUCTURE; ADAPTATION
AB This study examines the nexus between urban economic resilience and the heat island effect in China. It also scrutinizes the potential mediating role of digital technology and the moderating effects of talent gathering and regional advantage, based on panel data from three metropolitan regions in China for the period 2006-2022. Its findings indicate that urban economic resilience significantly mitigates the heat island effect, digital technology mediates this relationship, and the moderators talent gathering and regional advantage significantly influence this relationship. Additionally, the spatial spillover effects of urban economic resilience on the heat island effect were found to be positive in these regions. Based on the empirical findings, this study offers valuable insights for policymaking, namely, that resilient urban economies are better equipped to adapt to climate change and environmental challenges, which enables them to implement effective mitigation measures for the heat island effect and influence broader regional climate dynamics.
C1 [Cheng, Xuanmei] Zhejiang Univ Technol, Zhijiang Coll, Sch Management, Hangzhou, Peoples R China.
   [Ge, Fangting] Zhejiang Univ Technol, Sch Management, Hangzhou, Peoples R China.
   [Xu, Mark] Univ Portsmouth, Ctr Operat & Logist, Portsmouth Business Sch, Portsmouth, England.
   [Li, Ying] Tianjin Univ Commerce, Sch Econ, Tianjin, Peoples R China.
C3 Zhejiang University of Technology; Zhejiang University of Technology;
   University of Portsmouth; Tianjin University of Commerce
RP Ge, FT (corresponding author), Zhejiang Univ Technol, Sch Management, Hangzhou, Peoples R China.; Li, Y (corresponding author), Tianjin Univ Commerce, Sch Econ, Tianjin, Peoples R China.
EM may1981@zjut.edu.cn; fangtingd@163.com; mark.xu@port.ac.uk;
   liying@tjcu.edu.cn
CR Aboramadan M, 2021, INT J CONTEMP HOSP M, V33, P3199, DOI 10.1108/IJCHM-12-2020-1440
   Angelidou M., 2020, ISPRS ANN PHOTOGRAMM, V5, P957, DOI [https://doi.org/10.5194/isprs-annals-V-2-2020-957-2020, DOI 10.5194/ISPRS-ANNALS-V-2-2020-957-2020]
   Appio FP, 2019, TECHNOL FORECAST SOC, V142, P1, DOI 10.1016/j.techfore.2018.12.018
   Bai CQ, 2020, J ENVIRON MANAGE, V253, DOI 10.1016/j.jenvman.2019.109765
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Bibri SE, 2024, ENVIRON SCI ECOTECH, V19, DOI 10.1016/j.ese.2023.100330
   Block A.H., 2012, Responding to the Urban Heat Island: A Review of the Potential of Green Infrastructure
   Bristow G., 2020, Handbook on Regional Economic Resilience, DOI [10.1128/AEM.01906-10, DOI 10.1128/JB.00542-10]
   Cao JH, 2022, J CLEAN PROD, V365, DOI 10.1016/j.jclepro.2022.132865
   Caragliu A, 2023, J URBAN TECHNOL, V30, P51, DOI 10.1080/10630732.2023.2220136
   Carlucci M, 2020, APPL ECON, V52, P4162, DOI 10.1080/00036846.2020.1731410
   Cetindamar D., 2020, MANAGING INNOVATION, P49
   Chaka DS, 2021, GEOJOURNAL, V86, P993, DOI 10.1007/s10708-019-10110-5
   Charters K., 2013, Regional Advantage and Innovation: Achieving Australia's National Outcomes
   Chen DL, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108113
   Chen Z, 2022, LAND USE POLICY, V112, DOI 10.1016/j.landusepol.2021.105827
   Degirmenci K, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102873
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Deng XD, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2022.109817
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Di Bernardino A, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101735
   Diren-Üstuen DH, 2024, ATMOS RES, V297, DOI 10.1016/j.atmosres.2023.107083
   Djourelova M, 2023, AM ECON REV, V113, P800, DOI 10.1257/aer.20211537
   Dorrestijn S, 2012, ANTHR STUD CREAT PER, P219
   Duan JY, 2018, SCI TOTAL ENVIRON, V642, P1008, DOI 10.1016/j.scitotenv.2018.06.053
   Dwivedi YK, 2022, INT J INFORM MANAGE, V63, DOI 10.1016/j.ijinfomgt.2021.102456
   Echebarria C, 2021, INNOVATION-ABINGDON, V34, P159, DOI 10.1080/13511610.2020.1785277
   Elliott H, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10120219
   Florida Richard., 2014, The Rise of the Creative Class - Revisited
   Forzieri G, 2017, SCIENCE, V356, P1140, DOI 10.1126/science.aal1727
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Hao JS, 2023, INT J DISAST RISK SC, V14, P510, DOI 10.1007/s13753-023-00475-0
   Hao JH, 2022, SCI TOTAL ENVIRON, V841, DOI 10.1016/j.scitotenv.2022.156788
   Hatvani-Kovacs G, 2016, SUSTAIN CITIES SOC, V26, P278, DOI 10.1016/j.scs.2016.06.019
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Hsieh JJPA, 2011, INFORM SYST RES, V22, P233, DOI 10.1287/isre.1090.0256
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Hui CX, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104985
   Jamali A, 2023, URBAN SCI, V7, DOI 10.3390/urbansci7010007
   Ji ZY, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e26461
   Jiang X, 2020, J CLEAN PROD, V255, DOI 10.1016/j.jclepro.2020.120212
   Jiskani IM, 2021, RESOUR POLICY, V71, DOI 10.1016/j.resourpol.2021.102007
   Karimi A, 2023, ENVIRON DEV SUSTAIN, V25, P10485, DOI 10.1007/s10668-022-02530-0
   Knowles C.L., 2020, PLANNING STRATEGIES
   Li RM, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104498
   Li X, 2024, TECHNOL FORECAST SOC, V206, DOI 10.1016/j.techfore.2024.123555
   Li Y, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102425
   Li ZHX, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13148058
   Liang L, 2023, TECHNOL FORECAST SOC, V188, DOI 10.1016/j.techfore.2023.122328
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu TF, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14084550
   Liu W, 2018, TECHNOL FORECAST SOC, V137, P1, DOI 10.1016/j.techfore.2018.09.027
   Liu Y, 2020, SCI TOTAL ENVIRON, V743, DOI 10.1016/j.scitotenv.2020.140589
   Luo YS, 2023, INFRARED PHYS TECHN, V130, DOI 10.1016/j.infrared.2023.104615
   Maimaitiyiming M, 2014, ISPRS J PHOTOGRAMM, V89, P59, DOI 10.1016/j.isprsjprs.2013.12.010
   Makinen K., 2020, IMPLEMENTATION FINLA
   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
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Maurrasse DJ, 2013, STRATEGIC PUBLIC PRIVATE PARTNERSHIPS: INNOVATION AND DEVELOPMENT, P1, DOI 10.4337/9780857931986
   Mishra AR, 2023, ENG APPL ARTIF INTEL, V124, DOI 10.1016/j.engappai.2023.106603
   Morris JC, 2019, PUBLIC WORKS MANAG P, V24, P50, DOI 10.1177/1087724X18803116
   Osibanjo O, 2007, WASTE MANAGE RES, V25, P489, DOI 10.1177/0734242X07082028
   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.]
   Peng WB, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102863
   PORTER M.E., 2008, On Competition, Updated and Expanded Edition, [s, P213
   Qi GQ, 2020, TRANSPORT RES A-POL, V135, P96, DOI 10.1016/j.tra.2020.02.022
   Qiao Z, 2023, RESOUR CONSERV RECY, V188, DOI 10.1016/j.resconrec.2022.106680
   Rathnasiri P, 2023, ADV ENG INFORM, V57, DOI 10.1016/j.aei.2023.102085
   Razzaq A, 2023, TECHNOL FORECAST SOC, V188, DOI 10.1016/j.techfore.2022.122262
   Rezvani SMHS, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13092163
   Sharma Siddharth, 2012, World Bank Policy Research Working Paper 5932
   Shen ZP, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00340
   Shu C, 2023, SCI TOTAL ENVIRON, V890, DOI 10.1016/j.scitotenv.2023.164497
   Sun YP, 2022, TECHNOL FORECAST SOC, V185, DOI 10.1016/j.techfore.2022.122055
   Wang HH, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-52191-4
   Wang HH, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16062306
   Wang K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910983
   Wang RY, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118093
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Wen LJ, 2021, TECHNOL FORECAST SOC, V166, DOI 10.1016/j.techfore.2021.120590
   Wu H, 2019, AEROSOL AIR QUAL RES, V19, P2683, DOI 10.4209/aaqr.2019.02.0100
   Wu QJ, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-15614-8
   Xiao YT, 2022, ECOL INDIC, V143, DOI 10.1016/j.ecolind.2022.109312
   Xu AT, 2024, TECHNOL FORECAST SOC, V200, DOI 10.1016/j.techfore.2023.123164
   Xu WB, 2024, TECHNOL FORECAST SOC, V205, DOI 10.1016/j.techfore.2024.123525
   Yan X, 2024, TECHNOL FORECAST SOC, V200, DOI 10.1016/j.techfore.2023.123099
   Yang GY, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101932
   Yang L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18338-3
   Yue AB, 2024, TECHNOL FORECAST SOC, V204, DOI 10.1016/j.techfore.2024.123410
   Zelenev S., 2022, Digital Transformation and Social Well-being: Promoting an Inclusive Society
   Zhang YF, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11222610
   Zhao Z, 2018, TECHNOL FORECAST SOC, V137, P19, DOI 10.1016/j.techfore.2018.09.031
   Zhu MF, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112308
   Zhu SJ, 2022, BUILD ENVIRON, V219, DOI 10.1016/j.buildenv.2022.109181
   Zhu WW, 2021, TECHNOL FORECAST SOC, V170, DOI 10.1016/j.techfore.2021.120928
NR 97
TC 3
Z9 4
U1 89
U2 89
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0040-1625
EI 1873-5509
J9 TECHNOL FORECAST SOC
JI Technol. Forecast. Soc. Chang.
PD DEC
PY 2024
VL 209
AR 123802
DI 10.1016/j.techfore.2024.123802
EA OCT 2024
PG 21
WC Business; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Business & Economics; Public Administration
GA J3E6F
UT WOS:001335932300001
DA 2025-04-22
ER

PT J
AU Quaranta, G
   Dalia, C
   Salvati, L
   Salvia, R
AF Quaranta, Giovanni
   Dalia, Cristina
   Salvati, Luca
   Salvia, Rosanna
TI Building Resilience: An Art-Food Hub to Connect Local Communities
SO SUSTAINABILITY
LA English
DT Article
DE resilience; food; rural development; food/arts nexus; urban-rural
   linkages
ID ECONOMIC-DEVELOPMENT; WATER GOVERNANCE; REGIONS; SYSTEMS; MUSIC;
   STRATEGIES; PLACE; ADAPTATION; FRAMEWORK; CAPACITY
AB Resilience thinking is an appropriate framework when assessing the transitional potential of complex urban systems. The transformation of abandoned spaces into local hubs attracting new and innovative activities and events promotes a socioeconomic renaissance in urban communities, by stimulating adaptation to change, enhancing local resilience and strengthening urban-rural links. Under the conceptual umbrella of resilience thinking, the present study illustrates the outcomes of an integrated program of research-action aimed at urban regeneration in a medium-sized, economically disadvantaged city in Southern Italy (Battipaglia, Campania). The transformation of an abandoned building into an 'Art-Food Hub'-a multi-purpose and creative cultural space-based on resilience thinking was the specific case analyzed in our study. Appropriate stakeholders were identified and involved in a series of field activities and workshops, with the final objective of informing a comprehensive strategy strengthening awareness to change and capacity building. More specifically, stakeholder involvement was carried out with two aims: first, to make stakeholders active participants in co-designing a Strategic Urban Planning Document for Battipaglia and, second, to evaluate to what extent the proposed initiative contributes to building local resilience. By explicitly considering cross-scale drivers of community resilience, the results of this study show how the concept of resilience can be practically applied to policy formulation and implementation.
C1 [Quaranta, Giovanni; Dalia, Cristina; Salvia, Rosanna] Univ Basilicata, Dept Math Comp Sci & Econ, I-85100 Potenza, Italy.
   [Salvati, Luca] Council Agr Res & Econ CREA, Viale S Margherita 80, I-52100 Arezzo, Italy.
   [Salvati, Luca] Univ Roma La Sapienza, Dept Social & Econ Sci, Piazzale A Moro 5, I-00185 Rome, Italy.
C3 University of Basilicata; Consiglio per la Ricerca in Agricoltura e
   L'analisi Dell'economia Agraria (CREA); Sapienza University Rome
RP Salvati, L (corresponding author), Council Agr Res & Econ CREA, Viale S Margherita 80, I-52100 Arezzo, Italy.; Salvati, L (corresponding author), Univ Roma La Sapienza, Dept Social & Econ Sci, Piazzale A Moro 5, I-00185 Rome, Italy.
EM giovanni.quaranta@unibas.it; cristina.dalia@unibas.it;
   luca.salvati@crea.gov.it; rosanna.salvia@unibas.it
RI Salvati, Luca/AAS-6179-2021; Salvia, Rosanna/H-8017-2019
OI Salvia, Rosanna/0000-0003-0349-781X
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Annunziata A, 2019, J CLEAN PROD, V206, P86, DOI 10.1016/j.jclepro.2018.09.155
   Ashkenazy A, 2018, J RURAL STUD, V59, P211, DOI 10.1016/j.jrurstud.2017.07.008
   Balfour B, 2018, J RURAL STUD, V63, P229, DOI 10.1016/j.jrurstud.2016.11.002
   Bencardino M., 2012, BO ASS ITALIANA CART
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   BERKES P, 1998, LINKING SOCIAL ECOLO
   Biddle JC, 2019, ENVIRON POLICY GOV, V29, P344, DOI 10.1002/eet.1864
   Johnson Randal., 1993, FIELD CULTURAL PRODU
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   BUZAN Tony., 2003, The Mind Map Book
   Cafer A, 2019, COMMUNITY DEV, V50, P201, DOI 10.1080/15575330.2019.1575442
   Chaskin R.J., 2008, Child Care in Practice, V14, P65, DOI DOI 10.1080/13575270701733724
   Chazdon S., 2017, A Field Guide to Ripple Effects Mapping
   CoR (Committee of the Regions), 2012, OP BUILD EUR CULT MU
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cuadrado-Ciuraneta S, 2017, URBAN GEOGR, V38, P66, DOI 10.1080/02723638.2015.1113806
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   da Silveira AR, 2013, ANN ASSOC AM GEOGR, V103, P319, DOI 10.1080/00045608.2013.754687
   Damurski L, 2018, EUR PLAN STUD, V26, P1471, DOI 10.1080/09654313.2018.1462302
   Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Geeson N, 2015, J ARID ENVIRON, V114, P124, DOI 10.1016/j.jaridenv.2014.12.002
   Gibson C., 2004, International Journal of Cultural Policy, V10, P67, DOI 10.1080/1028663042000212337
   Gibson C., 2002, Australian Geographical Studies, V40, P337, DOI DOI 10.1111/1467-8470.00184
   Grodach C, 2011, J PLAN EDUC RES, V31, P74, DOI 10.1177/0739456X10391668
   HUDSON R, 1995, T I BRIT GEOGR, V20, P460, DOI 10.2307/622976
   Hudson R, 2006, PROG HUM GEOG, V30, P626, DOI 10.1177/0309132506070177
   Hudson R, 2010, CAMB J REG ECON SOC, V3, P11, DOI 10.1093/cjres/rsp026
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   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
   Mahon M, 2019, SOCIOL RURALIS, V59, P612, DOI 10.1111/soru.12231
   Marsden T, 2013, J RURAL STUD, V29, P123, DOI 10.1016/j.jrurstud.2011.10.001
   Moragues-Faus A, 2015, ENVIRON PLANN A, V47, P1558, DOI 10.1177/0308518X15595754
   Morelli VG, 2014, URBAN RES PRACT, V7, P74, DOI 10.1080/17535069.2014.885744
   Nadasdy Paul., 2007, ADAPTIVE COMANGAGEME, P208
   Ostrom E., 2015, Governing the Commons: The Evolution of Institutions for Collective Action, DOI 10.1017/CBO9781316423936
   Pahl-Wostl C, 2014, GLOBAL ENVIRON CHANG, V29, P139, DOI 10.1016/j.gloenvcha.2014.09.003
   Pahl-Wostl C, 2012, ENVIRON SCI POLICY, V23, P24, DOI 10.1016/j.envsci.2012.07.014
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Phillips R., 2004, Community Development Journal, V39, P112, DOI [https://doi.org/10.1093/cdj/39.2.112, DOI 10.1093/CDJ/39.2.112]
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Power D, 2002, ENVIRON PLANN A, V34, P1833, DOI 10.1068/a3529
   Quaranta G, 2014, EUR COUNTRYS, V6, P161, DOI 10.2478/euco-2014-0009
   Salvati L, 2016, GEOGR ANAL, V48, P132, DOI 10.1111/gean.12093
   Salvati L, 2016, LAND DEGRAD DEV, V27, P97, DOI 10.1002/ldr.2226
   Salvia R, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060889
   Scott AJ, 2004, URBAN AFF REV, V39, P461, DOI 10.1177/1078087403261256
   Serra P, 2014, APPL GEOGR, V55, P71, DOI 10.1016/j.apgeog.2014.09.005
   Shaw K, 2012, PLAN THEORY PRACT, V13, P308
   Singer J, 2015, ASIA PAC VIEWP, V56, P208, DOI 10.1111/apv.12057
   TAEU 2020 (Territorial Agenda of the European Union 2020), 2020, P INF MIN M MIN RESP
   Walker B., 2004, Ecology and Society, V9, P5
   Waterman S, 1998, T I BRIT GEOGR, V23, P253, DOI 10.1111/j.0020-2754.1998.00253.x
   Wilson Geoff., 2012, COMMUNITY RESILIENCE
   Wilson GA, 2017, LAND DEGRAD DEV, V28, P383, DOI 10.1002/ldr.2669
   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
   Wood N, 2004, SOC CULT GEOGR, V5, P533, DOI 10.1080/1464936042000317686
NR 66
TC 12
Z9 14
U1 11
U2 52
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC 2
PY 2019
VL 11
IS 24
AR 7169
DI 10.3390/su11247169
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 KC0SU
UT WOS:000506899000271
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Woodland, MH
AF Woodland, Malcolm H.
TI After-School Programs: A Resource for Young Black Males and Other Urban
   Youth
SO URBAN EDUCATION
LA English
DT Article
DE after school; youth development; Black; African American; males;
   resilience
ID AFRICAN-AMERICAN STUDENTS; PROTECTIVE FACTORS; ACADEMIC-PERFORMANCE;
   EARLY ADOLESCENCE; ETHNIC-IDENTITY; PASSAGE PROGRAM; RESILIENCE;
   CHILDREN; RISK; FAMILY
AB While after-school programs are plentiful, they are often developed arbitrarily with little attention given to theoretical underpinnings that may inform program interventions. In this article, after-school programs are situated in resilience theory as protective factors, which encourage resilience among young Black males and other urban youth. The resilience literature is explored, granting attention to varying resilience models and contextualizing resilience in young Black males. Several risk factors such as poverty, violence exposure, and academic difficulty, which often plague these young men, are also examined. Finally, after-school programs are introduced as resources for Black males and other urban youth.
C1 [Woodland, Malcolm H.] Super Court Dist Columbia, Child Guidance Clin, 510 4th St NW, Washington, DC 20001 USA.
   [Woodland, Malcolm H.] Young Doctors DC, Washington, DC USA.
RP Woodland, MH (corresponding author), Super Court Dist Columbia, Child Guidance Clin, 510 4th St NW, Washington, DC 20001 USA.
EM malcolm.woodland@dcsc.gov
CR [Anonymous], CRISIS BLACK MALE EM
   [Anonymous], WORK DISAPPEARS WORL
   [Anonymous], VULNERABLE BUT INVIN
   Arbona C, 1999, J EARLY ADOLESCENCE, V19, P323, DOI 10.1177/0272431699019003002
   Bass C.K., 1997, Professional School Counseling, V1, P48
   Beck E.L., 1999, The Urban Review, V31, P107, DOI DOI 10.1023/A:1023200500215
   Benzies K, 2009, CHILD FAM SOC WORK, V14, P103, DOI 10.1111/j.1365-2206.2008.00586.x
   Brunson R.K., 2007, CRIMINOL PUBLIC POL, V6, P71, DOI [10.1111/j.1745-9133.2007.00423.x, DOI 10.1111/J.1745-9133.2007.00423.X]
   Caldwell CH, 2004, AM J COMMUN PSYCHOL, V33, P91, DOI 10.1023/B:AJCP.0000014321.02367.dd
   Condly SJ, 2006, URBAN EDUC, V41, P211, DOI 10.1177/0042085906287902
   Cook B.J., 2007, Minorities in higher education: Twenty-second annual status report, 2007 supplement
   Crank J, 2003, J CRIM JUST, V31, P341, DOI 10.1016/S0047-2352(03)00027-8
   DuBois DL, 2002, AM J COMMUN PSYCHOL, V30, P157, DOI 10.1023/A:1014628810714
   Eccles JS, 1999, J ADOLESCENT RES, V14, P10, DOI 10.1177/0743558499141003
   Evans GW, 2013, PSYCHOL BULL, V139, P1342, DOI 10.1037/a0031808
   Fashola O. S., 2005, ED AFRICAN MALES VOI
   Fashola OS, 2003, URBAN EDUC, V38, P398, DOI 10.1177/0042085903038004004
   Fergus S, 2005, ANNU REV PUBL HEALTH, V26, P399, DOI 10.1146/annurev.publhealth.26.021304.144357
   Ferguson AnnArnett., 2001, Bad Boys: Public Schools in the Making of Black Masculinity. Law, Meaning
   Fine M., 1991, Framing dropouts: Notes on the politics of an urban public high school
   Floyd C, 1996, J NEGRO EDUC, V65, P181, DOI 10.2307/2967312
   Fox A. J., 2009, RECENT SURGE HOMICID
   Gardner R, 2001, REM SPEC EDUC, V22, P22, DOI 10.1177/074193250102200104
   GARMEZY N, 1991, PEDIATR ANN, V20, P459, DOI 10.3928/0090-4481-19910901-05
   GARMEZY N, 1984, CHILD DEV, V55, P97, DOI 10.2307/1129837
   Gavazzi SM, 1996, FAM RELAT, V45, P166, DOI 10.2307/585287
   Gordon EdmundW., 1994, Educational Resilience in Inner-City America: Challenges and Prospects, P27
   Gutman LM, 2002, AM J COMMUN PSYCHOL, V30, P367, DOI 10.1023/A:1015389103911
   Halpern R, 2002, TEACH COLL REC, V104, P178, DOI 10.1111/1467-9620.00160
   Halpern R., 2003, MAKING PLAY WORK PRO
   Harvey AR, 2004, SOC WORK, V49, P65, DOI 10.1093/sw/49.1.65
   Herndon M.K., 2003, J MENS STUDIES, V12, P75, DOI [DOI 10.3149/JMS.1201.75, 10.3149/jms.1201.75]
   Hill H., 1996, J CHILD FAM STUD, V5, P399, DOI DOI 10.1007/BF02233862
   Hill HM, 1996, J COMMUNITY PSYCHOL, V24, P26, DOI 10.1002/(SICI)1520-6629(199601)24:1<26::AID-JCOP3>3.0.CO;2-1
   Hirsch B.J., 2005, A place to call home: After-school programs for urban youth, DOI [DOI 10.1037/11087-000, https://doi.org/10.1037/11087-000]
   Holzman M., 2012, The urgency of now: The Schott 50 state report on public education and Black males
   JARRETT RL, 1995, J ADOLESCENT RES, V10, P111, DOI 10.1177/0743554895101007
   Jayroe T., 2005, Reading Horizons, V45, P235, DOI 879645051
   Kaiser Family Foundation, 2006, RAC ETHN HLTH CAR FA
   Kane T.J., 2004, IMPACT AFTER SCH PRO
   Kaufman L, 2007, SOC SCI MED, V64, P2177, DOI 10.1016/j.socscimed.2007.02.019
   Lee C.D., 2007, CULTURE LITERACY LEA
   Li ST, 2007, AM J COMMUN PSYCHOL, V39, P21, DOI 10.1007/s10464-007-9088-1
   Lindblad-Goldberg M., 2006, Children in family context: Perspectives on treatment, V2nd, P142
   Linnehan F, 2001, J VOCAT BEHAV, V59, P310, DOI 10.1006/jvbe.2001.1810
   Lopoo LM, 2005, SOC SERV REV, V79, P602, DOI 10.1086/454387
   Luthar SS, 2000, CHILD DEV, V71, P543, DOI 10.1111/1467-8624.00164
   LUTHAR SS, 1993, J CHILD PSYCHOL PSYC, V34, P441, DOI 10.1111/j.1469-7610.1993.tb01030.x
   Mahoney JL, 2005, CHILD DEV, V76, P811, DOI 10.1111/j.1467-8624.2005.00879.x
   Mason-Dixon Polling & Research, 2002, NEW YORK STAT SURV T
   Masten A.S., 1994, ED RESILIENCE INNERC, P3
   Masten AS, 2007, DEV PSYCHOPATHOL, V19, P921, DOI 10.1017/S0954579407000442
   Masten AS, 2011, DEV PSYCHOPATHOL, V23, P493, DOI 10.1017/S0954579411000198
   Masten AS, 2001, AM PSYCHOL, V56, P227, DOI 10.1037/0003-066X.56.3.227
   Masten AS, 1998, AM PSYCHOL, V53, P205, DOI 10.1037/0003-066X.53.2.205
   MASTEN AS, 1985, ADV CLIN CHILD PSYCH, V8
   McCart M. R., 2006, J ORTHOPSYCHIAT, V77, P434, DOI [10.1037/0002-9432.77.3.434, DOI 10.1037/0002-9432.77.3.434]
   Miller J.G., 1996, Search and destroy: African American males in the criminal justice system
   Morland K, 2002, AM J PUBLIC HEALTH, V92, P1761, DOI 10.2105/AJPH.92.11.1761
   O'Connor C., 2014, Handbook of urban education, P75
   Oliver W, 2006, J BLACK STUD, V36, P918, DOI 10.1177/0021934704273445
   Olsen D., 2000, POLICY ANAL, V372
   Ostaszewski K, 2006, AM J COMMUN PSYCHOL, V38, P237, DOI 10.1007/s10464-006-9076-x
   Pascoe J.M., 2007, SCH READINESS TRANSI, P99
   POSNER JK, 1994, CHILD DEV, V65, P440, DOI 10.1111/j.1467-8624.1994.tb00762.x
   Quinn J, 1999, FUTURE CHILD, V9, P96, DOI 10.2307/1602709
   Rutter M., 1979, Prevention of psychopathology: Vol. 3. Social competence in children, V3, P49, DOI DOI 10.1196/ANNALS.1376.002
   Sherman L.W., 1997, Preventing crime: What works, what doesn't, what's promising
   Smith EP, 1999, J ADOLESCENCE, V22, P867, DOI 10.1006/jado.1999.0281
   Spencer M.B., 2006, DEV PSYCHOPATHOL, V2nd, P627
   Spencer MB, 2001, DOES IT TAKE A VILLAGE?, P51
   Stewart Mott Foundation, 1998, CS MOTT FDN POLL SCH
   Sum A., 2010, 2007 2009 RECESSIONS
   Taylor RD, 1996, DEV PSYCHOL, V32, P687, DOI 10.1037/0012-1649.32.4.687
   Thomas DE, 2009, REV RES EDUC, V33, P160, DOI 10.3102/0091732X08327164
   Tierney J.P., 1995, Making a difference: An impact study of Big Brothers/Big Sisters
   Tran H, 2006, DEV PSYCHOL, V42, P566, DOI 10.1037/0012-1649.42.3.566
   VANDELL DL, 1988, CHILD DEV, V59, P868, DOI 10.1111/j.1467-8624.1988.tb03240.x
   Violence Policy Center, 2010, BLACK HOM VICT US AN
   WARFIELDCOPPOCK N, 1992, J NEGRO EDUC, V61, P471, DOI 10.2307/2295365
   Watts R.J., 2002, PSYCHOL MEN MASCULIN, V3, P41, DOI [10.1037/1524-9220.3.1.41, DOI 10.1037/1524-9220.3.1.41]
   Werner E. E., 1971, CHILDREN KAUNI HONOL
   Werner E.E., 1977, KAUAIS CHILDREN COME
   Werner E.E., 1998, VULNERABLE INVINCIBL
   Wolff S, 1995, AUST NZ J PSYCHIAT, V29, P565, DOI 10.3109/00048679509064968
   Woodland M., 2009, The Journal of Negro Education, V78, P233, DOI DOI 10.1177/
   Woodland MH, 2008, J BLACK PSYCHOL, V34, P452, DOI 10.1177/0095798408316795
   Worrell FC, 2006, IDENTITY, V6, P293, DOI 10.1207/s1532706xid0604_1
   Wright MO, 2013, HANDBOOK OF RESILIENCE IN CHILDREN, SECOND EDITION, P15, DOI 10.1007/978-1-4614-3661-4_2
   WYMAN PA, 1992, J AM ACAD CHILD PSY, V31, P904, DOI 10.1097/00004583-199209000-00019
   Zolkoski SM, 2012, CHILD YOUTH SERV REV, V34, P2295, DOI 10.1016/j.childyouth.2012.08.009
NR 91
TC 17
Z9 42
U1 2
U2 21
PU CORWIN PRESS INC A SAGE PUBLICATIONS CO
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0042-0859
EI 1552-8340
J9 URBAN EDUC
JI Urban Educ.
PD OCT
PY 2016
VL 51
IS 7
BP 770
EP 796
DI 10.1177/0042085914549361
PG 27
WC Education & Educational Research; Urban Studies
WE Social Science Citation Index (SSCI)
SC Education & Educational Research; Urban Studies
GA DU9WH
UT WOS:000382568300003
DA 2025-04-22
ER

PT J
AU Ernstson, H
   van der Leeuw, SE
   Redman, CL
   Meffert, DJ
   Davis, G
   Alfsen, C
   Elmqvist, T
AF Ernstson, Henrik
   van der Leeuw, Sander E.
   Redman, Charles L.
   Meffert, Douglas J.
   Davis, George
   Alfsen, Christine
   Elmqvist, Thomas
TI Urban Transitions: On Urban Resilience and Human-Dominated Ecosystems
SO AMBIO
LA English
DT Article
DE Urban resilience; Ecosystem services; Social-ecological processes;
   Cross-scale interactions; Urban innovation; New Orleans; Cape Town;
   Phoenix
ID HURRICANE-KATRINA; MISSISSIPPI DELTA; NEW-ORLEANS; SERVICES; WATER;
   SUSTAINABILITY; MANAGEMENT; BIODIVERSITY; BIOSPHERE; ECOLOGY
AB Urbanization is a global multidimensional process paired with increasing uncertainty due to climate change, migration of people, and changes in the capacity to sustain ecosystem services. This article lays a foundation for discussing transitions in urban governance, which enable cities to navigate change, build capacity to withstand shocks, and use experimentation and innovation in face of uncertainty. Using the three concrete case cities-New Orleans, Cape Town, and Phoenix-the article analyzes thresholds and cross-scale interactions, and expands the scale at which urban resilience has been discussed by integrating the idea from geography that cities form part of "system of cities" (i.e., they cannot be seen as single entities). Based on this, the article argues that urban governance need to harness social networks of urban innovation to sustain ecosystem services, while nurturing discourses that situate the city as part of regional ecosystems. The article broadens the discussion on urban resilience while challenging resilience theory when addressing human-dominated ecosystems. Practical examples of harnessing urban innovation are presented, paired with an agenda for research and policy.
C1 [Ernstson, Henrik; Elmqvist, Thomas] Stockholm Univ, Dept Syst Ecol, S-10691 Stockholm, Sweden.
   [Ernstson, Henrik; Elmqvist, Thomas] Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden.
   [van der Leeuw, Sander E.; Redman, Charles L.] Arizona State Univ, Sch Human Evolut & Social Change, Tempe, AZ 85287 USA.
   [Redman, Charles L.] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.
   [Meffert, Douglas J.] Tulane Univ, Tulane Xavier Ctr Bioenvironm Res, New Orleans, LA 70112 USA.
   [Davis, George] SANBI, Urban Conservat Programme, Kirstenbosch Natl Bot Garden, ZA-7735 Claremont, South Africa.
   [Alfsen, Christine] Columbia Univ, UNESCO Joint Program Biosphere & Soc CUBES, New York, NY 10017 USA.
   [Alfsen, Christine] UNESCO, Urban Biosphere Network URBIS, Off New York, New York, NY 10017 USA.
C3 Stockholm University; Stockholm University; Arizona State University;
   Arizona State University-Tempe; Arizona State University; Arizona State
   University-Tempe; Tulane University; Xavier University of Louisiana;
   South African National Biodiversity Institute; Columbia University
RP Ernstson, H (corresponding author), Stockholm Univ, Dept Syst Ecol, S-10691 Stockholm, Sweden.
EM henrik@ecology.su.se; vanderle@asu.edu; charles.redman@asu.edu;
   dmeffert@tulane.edu; davis@sanbi.org; alfsen-norodom@un.org;
   thomase@ecology.su.se
RI Ernstson, Henrik/LMP-6473-2024; van der Leeuw, Sander/AAF-7850-2019;
   Elmqvist, Thomas/AAY-6344-2021
OI Elmqvist, Thomas/0000-0002-4617-6197; Ernstson,
   Henrik/0000-0002-6415-4821
FU Formas (Urban-NET); Vetenskapsra det (Swedish Links); Division Of
   Behavioral and Cognitive Sci; Direct For Social, Behav & Economic Scie
   [0948993] Funding Source: National Science Foundation; Divn Of Social
   and Economic Sciences; Direct For Social, Behav & Economic Scie
   [0951366] Funding Source: National Science Foundation
FX This article has been developed from the collaboration at the Stockholm
   Resilience Centre (www.stockholmresilience.org) and its research theme
   Urban Social-Ecological Systems and Globalization, which gathers 12
   urban research groups across the globe. A special session organized by
   T. Elmqvist and H. Ernstson at the conference "Resilience 2008" in
   Stockholm, 14-17 April, 2008, triggered the co-authors to write this
   article. Especially Erik Andersson, Sverker Sorlin, Sara Borgstrom, and
   Cathy Wilkinson should be acknowledged for their valuable discussions on
   this topic. We also acknowledge Keith Tidball for his useful comments on
   an earlier draft. The first author acknowledges funding through Formas
   (Urban-NET) and Vetenskapsra det (Swedish Links) to finalize the
   article. An earlier version was presented at The 2010 AESOP Complexity
   and Planning Workshop "Resilient Cities" in Stockholm, 26-27 February,
   2010.
CR Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   ALLEN TFH, 1986, HIERARCHICAL CONCEPT, P264
   Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   Andersson E, 2006, ECOL SOC, V11
   [Anonymous], 2006, INTEGRATED DEV PLAN
   [Anonymous], 2005, MILLENIUM ECOSYSTEM
   [Anonymous], 2008, OECD TERR REV CAP TO
   Arbesman S, 2009, PHYS REV E, V79, DOI 10.1103/PhysRevE.79.016115
   Armitage D, 2006, ECOL SOC, V11
   Barthel S, 2005, ECOL SOC, V10
   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
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Berling-Wolff Sheryl, 2004, Urban Ecosystems, V7, P215, DOI 10.1023/B:UECO.0000044037.23965.45
   Besteman CatherineLowe., 2008, Transforming Cape Town
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Birch EL, 2006, CITY 21ST CENTURY, P1
   Blakely EJ., 2007, URBAN PLANNING CLIMA
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Borgström ST, 2006, ECOL SOC, V11
   Campanella R, 2004, ANN NY ACAD SCI, V1023, P289, DOI 10.1196/annals.1319.014
   Carley Miachel., 2001, URBAN DEV CIVIL SOC
   Carlsson L, 2005, J ENVIRON MANAGE, V75, P65, DOI 10.1016/j.jenvman.2004.11.008
   *CFN, 2006, NETW PEOPL NAT CIT I
   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
   Costanza R, 2006, FRONT ECOL ENVIRON, V4, P465, DOI 10.1890/1540-9295(2006)4[465:ANVFNO]2.0.CO;2
   *CPRA, 2007, COMPR COAST PROT MAS
   Daily G. C., 1997, Nature's services: societal dependence on natural ecosystems., P113
   *DCDC, 2009, HOM SIM WATERSIM DEC
   Elmqvist T., 2008, Encyclopedia of Ecology, Five-Volume Set, V5, P3665, DOI DOI 10.1016/14978-008045405-4.01H64-5
   ERNSTSON H, 2010, ECOLOGY SOC IN PRESS
   Ernstson H., 2008, THESIS STOCKHOLM U S
   Ernstson H, 2008, ECOL SOC, V13
   Falkenmark M, 2003, PHILOS T R SOC B, V358, P2037, DOI 10.1098/rstb.2003.1386
   Flyvbjerg B., 1998, RATIONALITY POWER DE
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   GOBER P, 2007, GEOGRAPHISCHE RUNDSC, V3, P20
   Goldstein BE, 2009, ECOL SOC, V14
   Graham Stephen., 1999, EUR PLAN STUD, V7, DOI DOI 10.1080/09654319908720542
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Harvey David., 1996, JUSTICE NATURE GEOGR
   Hirsch P., 2006, Journal of Environment & Development, V15, P184, DOI 10.1177/1070496506288221
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kates RW, 2006, P NATL ACAD SCI USA, V103, P14653, DOI 10.1073/pnas.0605726103
   Krasny M.E., 2009, CITIES ENV, V2, P1, DOI DOI 10.15365/CATE.2182009
   KUPEL DE, 2003, FUEL GROWTH WATER AR, P294
   Laska S, 2006, MAR TECHNOL SOC J, V40, P16, DOI 10.4031/002533206787353123
   Leach M., 2008, STEPS Working Paper 13
   Levin SA, 1998, ECOSYSTEMS, V1, P431, DOI 10.1007/s100219900037
   Lopez J., 2006, MULTIPLE LINES DEFEN
   *LRA, 2007, LOU SPEAKS REG PLAN
   LUCCARELLI M, 1996, L MUMFORD ECOLOGICAL
   MEFFERT DJ, 2008, RESILIENCE NEW ORLEA
   Midgley GF, 2005, 2005073 ENVSC CSIR W
   Murdoch Jonathan., 2006, Post-Structuralist Geography: A Guide to Relational Space
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pickett STA, 2008, BIOSCIENCE, V58, P139, DOI 10.1641/B580208
   Pumain D, 1989, VILLES AUTOORGANISAT
   Redman C.L., 2008, Agricultural Landscapes in Transition: Comparisons of Long-term Ecological and Cultural Change, P238
   Rodiek J, 2007, LANDSCAPE URBAN PLAN, V79, P1, DOI 10.1016/j.landurbplan.2006.09.001
   SNOW DA, 1986, AM SOCIOL REV, V51, P464, DOI 10.2307/2095581
   Stanvliet R, 2004, ANN NY ACAD SCI, V1023, P80, DOI 10.1196/annals.1319.003
   Swyngedouw E., 2006, the Nature of Cities: Urban political ecology and the politics of urban metabolism, P21
   Swyngedouw Erik., 1996, CAPITALISM NATURE SO, V7, P65, DOI [10.1080/10455759609358679, DOI 10.1080/10455759609358679]
   Tidball K.G., 2007, SOCIAL LEARNING SUST, P149, DOI DOI 10.3920/978-90-8686-594-9
   Törnqvist TE, 2008, NAT GEOSCI, V1, P173, DOI 10.1038/ngeo129
   Törnqvist TE, 2008, NAT GEOSCI, V1, P805, DOI 10.1038/ngeo365
   Turok I, 2001, URBAN STUD, V38, P2349, DOI 10.1080/00420980120094551
   Turpie JK, 2008, ECOL ECON, V65, P788, DOI 10.1016/j.ecolecon.2007.12.024
   *USGS, 2004, SE LOUISIANA LAND LO
   van der Leeuw SE, 2005, MICRO MESO MACRO: ADDRESSING COMPLEX SYSTEMS COUPLINGS, P227, DOI 10.1142/9789812701404_0013
   van der Leeuw SanderE., 2007, Sustainability or Collapse? An Integrated History and Future of People on Earth, P213
   van Wilgen BW, 1998, TRENDS ECOL EVOL, V13, P378, DOI 10.1016/S0169-5347(98)01434-7
   VANDERLEEUW SE, 1993, URBAN TIME SCALES, P195
   WESTRUM R, 2006, 2 S RES ENG JUAN LES
   White DD, 2008, SOC NATUR RESOUR, V21, P230, DOI 10.1080/08941920701329678
   XU Y, 2007, 1329107 WRC
   Zeeman E., 1977, Catastrophe Theory: Selected Papers, 1972-1977
NR 84
TC 351
Z9 421
U1 25
U2 460
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD DEC
PY 2010
VL 39
IS 8
BP 531
EP 545
DI 10.1007/s13280-010-0081-9
PG 15
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology
GA 671KF
UT WOS:000283502300001
PM 21141773
OA Green Published
DA 2025-04-22
ER

PT J
AU Zhu, SY
   Li, DZ
   Huang, GY
   Chhipi-Shrestha, G
   Nahiduzzaman, KM
   Hewage, K
   Sadiq, R
AF Zhu, Shiyao
   Li, Dezhi
   Huang, Guanying
   Chhipi-Shrestha, Gyan
   Nahiduzzaman, Kh Md
   Hewage, Kasun
   Sadiq, Rehan
TI Enhancing urban flood resilience: A holistic framework incorporating
   historic worst flood to Yangtze River Delta, China
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban flood resilience; Flood mitigation; VIKOR; Grey relational
   analysis; Yangtze river delta region
ID VULNERABILITY; RISK; SUSTAINABILITY; URBANIZATION; PERCEPTION;
   PRINCIPLES; NETWORK; RIYADH; REGION
AB Rapid urbanization and climate change have increased the risk of urban flooding, causing massive infrastructure and human losses. The concept of resilience proposes new solutions to manage flood disaster. An urban flood resilience evaluation framework considering the flood disaster cycle of actual historic flood event and objective physical-socio-economic status is necessary for future flood mitigation. This paper proposes a holistic evaluation framework for evaluating urban flood resilience with VIKOR and Grey Relational Analysis (GRA) method. The proposed framework consists of indicators of resistance, coping, recovery and adaptation capacity of resilience for three stages of the flood disaster cycle, namely pre, during and post-flood. The framework has been applied to Yangtze River Delta (YRD) consisting 27 cities in China. Following a rigorous analysis, the cities are ranked and mapped, among which Nanjing stands out to be the first, whereas the entire region presents a moderate level of urban flood resilience varying from city to city. The detailed comparison with sensitivity analysis of resilience at regional, provincial and city level suggests a better resilience in pre-flood stage than post-flood stage. Finally, practical recommendations to regional and local level are provided for further flood mitigation and resilience improvement. The proposed framework is generalizable and useful to develop flood related standards, establish benchmarks, perform evaluation at regional, provincial and city levels across China and other parts of the world.
C1 [Zhu, Shiyao; Li, Dezhi; Huang, Guanying] Southeast Univ, Sch Civil Engn, Nanjing 211189, Peoples R China.
   [Zhu, Shiyao; Chhipi-Shrestha, Gyan; Nahiduzzaman, Kh Md; Hewage, Kasun; Sadiq, Rehan] Univ British Columbia, Sch Engn, Okanagan Campus,3333 Univ Way, Kelowna, BC V1V 1V7, Canada.
   [Li, Dezhi] Minist Educ, Engn Res Ctr Bldg Equipment Energy & Environm, Beijing, Peoples R China.
C3 Southeast University - China; University of British Columbia
RP Li, DZ (corresponding author), Southeast Univ, Sch Civil Engn, Nanjing 211189, Peoples R China.
EM crystal_zsy@126.com; njldz@seu.edu.cn; hgy@seu.edu.cn;
   gyan.shrestha@ubc.ca; kh.nahiduzzaman@ubc.ca; kasun.hewage@ubc.ca;
   rehan.sadiq@ubc.ca
RI ZHU, SHIYAO/GZB-0532-2022; Nahiduzzaman, Prof. Kh Md/L-9145-2019;
   Hewage, Kasun/AAQ-2395-2020
OI Zhu, Shiyao/0000-0002-3738-2001; Li, Dezhi/0000-0001-7123-0493; HUANG,
   Guanying/0000-0002-4445-0877; Nahiduzzaman, Prof. Kh/0000-0002-5254-3336
FU National Social Science Foundation of China [19BGL281]; National Key
   Research and Development Program [2018YFD1100202]; Fundamental Research
   Funds for the Central Universities [2242021k30023]; China Scholarship
   Council (CSC)
FX This project is funded by the National Social Science Foundation of
   China (No. 19BGL281), the National Key Research and Development Program
   (No. 2018YFD1100202), the Fundamental Research Funds for the Central
   Universities (No. 2242021k30023), the support provided by China
   Scholarship Council (CSC), and the data support from National Earth
   System Science Data Center, National Science & Technology Infrastructure
   of China.
CR Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Ahilan S., 2019, BUILDING URBAN FLOOD, P3
   Ahmed Z, 2020, RESOUR POLICY, V67, DOI 10.1016/j.resourpol.2020.101677
   Aikaeli J., AFRICAN J EC REV, V9, P87
   Alshehri SA, 2015, NAT HAZARDS, V75, P2221, DOI 10.1007/s11069-014-1423-x
   Andimuthu R, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43859-3
   Anhui Bureau of Statistics, 2018, STAT YB ANH
   [Anonymous], 2018, Economic Survey of Maharashtra 2017-18
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Bang H, 2019, FORESIGHT, V21, P266, DOI 10.1108/FS-06-2018-0068
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bodoque JM, 2016, J HYDROL, V541, P665, DOI 10.1016/j.jhydrol.2016.02.005
   Bottazzi P, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072135
   Burton Christopher., 2012, The development of metrics for community resilience to natural disasters
   Campbell KA, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101257
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Cohen S, 2018, J AM WATER RESOUR AS, V54, P847, DOI 10.1111/1752-1688.12609
   Communist Party of China Central Committee and the State Council, 2019, OUTL INT REG DEV YAN
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Bruijn K, 2017, ENVIRON SCI POLICY, V70, P21, DOI 10.1016/j.envsci.2017.02.001
   De Smith MJ., 2018, Geospatial analysis: a comprehensive guide to principles, techniques and software tools, V6th ed.
   Dixon TH, 2006, NATURE, V441, P587, DOI 10.1038/441587a
   Eldho TI, 2018, INTEGRATING DISASTER SCIENCE AND MANAGEMENT: GLOBAL CASE STUDIES IN MITIGATION AND RECOVERY, P205, DOI 10.1016/B978-0-12-812056-9.00012-9
   Feng BY, 2021, NAT HAZARDS, V106, P613, DOI 10.1007/s11069-020-04480-0
   Feng LH, 2011, DISASTER ADV, V4, P59
   Fenner R, 2019, WATER-SUI, V11, DOI 10.3390/w11051082
   Google map, 2020, NTR
   Gu HH, 2015, STOCH ENV RES RISK A, V29, P693, DOI 10.1007/s00477-014-0957-5
   Gyawali S, 2020, SUSTAIN DEV, V28, P626, DOI 10.1002/sd.2013
   Han J, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142491
   Heng L, 1999, NATURE RESOUR, V35, P14
   Imboden D., 2020, High tides and flooding in Venice, Italy
   Jiangsu Bureau of Statistics, 2018, STAT YB JIANGS
   Jongman B, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04396-1
   Kadam P., 2012, ISH Journal of Hydraulic Engineering, V18, P129, DOI [10.1080/09715010.2012.695449, DOI 10.1080/09715010.2012.695449]
   Karim F, 2012, HYDROL PROCESS, V26, P2710, DOI 10.1002/hyp.8364
   Kerle N., 2011, C FLOODING CLIMATE A, P93
   Kuo Y, 2008, COMPUT IND ENG, V55, P80, DOI 10.1016/j.cie.2007.12.002
   Lafortezza R, 2019, ENVIRON RES, V172, P394, DOI 10.1016/j.envres.2018.12.063
   LAI YJ, 1994, EUR J OPER RES, V76, P486, DOI 10.1016/0377-2217(94)90282-8
   Lashford C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010213
   Li GF, 2013, STOCH ENV RES RISK A, V27, P1683, DOI 10.1007/s00477-013-0706-1
   Li X, 2019, LAND USE POLICY, V81, P513, DOI 10.1016/j.landusepol.2018.11.021
   Li ZM, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101140
   Liao KH, 2016, LANDSCAPE URBAN PLAN, V155, P69, DOI 10.1016/j.landurbplan.2016.01.014
   Ling TY, 2018, INT J DISAST RISK RE, V27, P541, DOI 10.1016/j.ijdrr.2017.11.020
   Liu D, 2019, J CLEAN PROD, V241, DOI 10.1016/j.jclepro.2019.118406
   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
   Ministry of Housing and Urban -Rural Development of the People's Republic of China, 2012, CODE CLASSIFICATION
   Ministry of Water Rescourses of the People's Republic of China, 2018, B DROUGHT FLOOD DIS
   Moghadas M., 2018, INT J DISAST RISK RE, DOI [10.1016/j.ijdrr.2019.101069, DOI 10.1016/J.IJDRR.2019.101069]
   Morrison A, 2018, J FLOOD RISK MANAG, V11, P291, DOI 10.1111/jfr3.12315
   Nahiduzzaman KM, 2015, HABITAT INT, V49, P375, DOI 10.1016/j.habitatint.2015.05.034
   OOSA, 2019, Flooding affected more people in 2018 than any other disaster type report shows
   Opricovic S., 1998, Faculty Civil Eng, DOI DOI 10.3846/TEDE.2010.01
   Patro S, 2009, J INDIAN SOC REMOTE, V37, P107, DOI 10.1007/s12524-009-0002-1
   Pizzol M, 2013, J ENVIRON MANAGE, V118, P21, DOI 10.1016/j.jenvman.2012.12.042
   Putra GAY, 2019, IOP C SER EARTH ENV, V239, DOI 10.1088/1755-1315/239/1/012043
   Rahman MT, 2016, NAT HAZARDS, V84, P1807, DOI 10.1007/s11069-016-2521-8
   Razafindrabe BHN, 2015, ENVIRON HAZARDS-UK, V14, P16, DOI 10.1080/17477891.2014.981497
   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
   Robaina L.E. de S., 2013, GEOCIENCIAS, V32, P346
   Rodriguez CNAS, 2014, WIRES WATER, V1, P173, DOI 10.1002/wat2.1017
   Saaty T.L., 2008, INT J SERV SCI, V1, P83, DOI [10.1504/IJSSCI.2008.017590, DOI 10.1504/IJSSCI.2008.017590]
   Saaty TL, 2007, MATH COMPUT MODEL, V46, P1041, DOI 10.1016/j.mcm.2007.03.010
   Sado-Inamura Y, 2019, LAND USE POLICY, V82, P13, DOI 10.1016/j.landusepol.2018.11.031
   Sahoo SN, 2017, ASCE-ASME J RISK U A, V3, DOI 10.1061/AJRUA6.0000822
   Sayadi MK, 2009, APPL MATH MODEL, V33, P2257, DOI 10.1016/j.apm.2008.06.002
   Scholz M, 2015, WATER-SUI, V7, P2272, DOI 10.3390/w7052272
   Selvi I.H., 2018, INTELLIGENT SYSTEMS, P498, DOI [10.4018/978-1-5225-5643-5.ch020, DOI 10.4018/978-1-5225-5643-5.CH020]
   Shah MAR, 2020, SUSTAIN DEV, V28, P1404, DOI 10.1002/sd.2094
   Shanghai Bureau of Statistics, 2018, STAT YB SHANGH
   Shen J, 2020, NAT HAZARDS, V104, P927, DOI 10.1007/s11069-020-04198-z
   Song S, 2020, TECHNOL FORECAST SOC, V152, DOI 10.1016/j.techfore.2019.119859
   Szewranski S, 2018, INTEGR ENVIRON ASSES, V14, P592, DOI 10.1002/ieam.4077
   The city of Durban, 2010, CLIMATE CHANGE ADAPT
   The city of New York, 2013, STRONG MOR RES NEW Y
   The city of Rotterdam, 2008, ROTT CLIM RES STRAT
   The mayor of London, 2015, MAN RISKS INCR RES
   Wang YF, 2016, ATMOS RES, V172, P196, DOI 10.1016/j.atmosres.2016.01.008
   Yang TR, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11164281
   Ye C, 2019, HABITAT INT, V83, P20, DOI 10.1016/j.habitatint.2018.10.010
   Zeng SY, 2019, J ENVIRON MANAGE, V246, P849, DOI 10.1016/j.jenvman.2019.06.028
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zhang YQ, 2020, J GEOGR SCI, V30, P1649, DOI 10.1007/s11442-020-1805-9
   Zhejiang Bureau of Statistics, 2018, STAT YB ZHEJ
   Zhou QQ, 2021, URBAN WATER J, V18, P487, DOI 10.1080/1573062X.2021.1893366
   Zhu HG, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020665
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 92
TC 76
Z9 85
U1 43
U2 251
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 2021
VL 61
AR 102355
DI 10.1016/j.ijdrr.2021.102355
EA JUN 2021
PG 15
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 SW0HI
UT WOS:000664197300004
DA 2025-04-22
ER

PT J
AU Wang, M
   Zhang, Y
   Bakhshipour, AE
   Liu, M
   Rao, QY
   Lu, ZM
AF Wang, Mo
   Zhang, Yu
   Bakhshipour, Amin E.
   Liu, Ming
   Rao, Qiuyi
   Lu, Zhongming
TI Designing coupled LID-GREI urban drainage systems: Resilience assessment
   and decision-making framework
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Resilience; Urban hydrology; Grey infrastructure; Coupled system; Life
   span; Low-impact development
ID STORMWATER MANAGEMENT; CLIMATE-CHANGE; PERFORMANCE; COST; CITY;
   INFRASTRUCTURES; URBANIZATION; SINGAPORE; IMPACTS; RUNOFF
AB As flooding risks rise in urban areas, research suggests combining low impact development (LID) and grey infrastruc-ture (GREI) in urban drainage systems. Several frameworks have been proposed to plan such coupled systems, but there is not a comprehensive framework to assess their resilience under diverse failure scenarios and sources of uncer-tainty. This study proposes a framework which considers both technological and operational resilience. Technological resilience has to do with the performance of the system under extreme loads. Operational resilience has to do with the performance and long-term efficiency of the system after structural damage or degradation, using appropriate proba-bility distributions to quantify the likelihood of failures. The proposed framework is based on an optimization and multi-criteria decision-making platform. It improves on previous research, which lacked consideration of uncertainty in resilience over the life span. We also apply the proposed framework to a real-world test case, and find that ina high -density urban area, a coupled system is more cost-effective than GREI alone. Furthermore, decentralized systems with greater flexibility show significantly better technological and operational resilience. The proposed framework can bet -ter support decision-making for planning robust and cost-effective urban drainage systems, particularly in highly urbanized areas.
C1 [Wang, Mo; Zhang, Yu; Liu, Ming; Rao, Qiuyi] Guangzhou Univ, Coll Architecture & Urban Planning, Guangzhou 510006, Peoples R China.
   [Bakhshipour, Amin E.] Univ Kaiserslautern, Inst Urban Water Management, Civil Engn, D-67663 Kaiserslautern, Germany.
   [Lu, Zhongming] Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Clear Water Bay, Hong Kong, Peoples R China.
C3 Guangzhou University; University of Kaiserslautern; Hong Kong University
   of Science & Technology
RP Wang, M (corresponding author), Guangzhou Univ, Coll Architecture & Urban Planning, Guangzhou 510006, Peoples R China.; Lu, ZM (corresponding author), Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Clear Water Bay, Hong Kong, Peoples R China.
EM landwangmo@outlook.com; octopuszhangyu@outlook.com;
   amin.bakhshipour@bauing.uni-kl.de; MingL6371@outlook.com;
   chewy0917@outlook.com; zhongminglu@ust.hk
RI Wang, Mo/ABC-9345-2020; Liu, Ming/GZG-9486-2022; Bakhshipour,
   Amin/ABC-3464-2020; lu, zhongming/S-2757-2019
OI lu, zhongming/0000-0002-4151-5065; Liu, Ming/0000-0002-7323-3468; Zhang,
   Yu/0000-0003-4046-0012
FU National Natural Science Foundation of China [51808137]; Natural Science
   Foundation of Guangdong Province [2019A1515010873]; Graduate Student
   Innovation Ability Training Funding Program of Guangzhou University
   [2021GDJC-M38]
FX Acknowledgements This work was supported by the National Natural Science
   Foundation of China [grant number 51808137] , Natural Science Foundation
   of Guangdong Province [grant number 2019A1515010873] , and Graduate
   Student Innovation Ability Training Funding Program of Guangzhou
   University [grant number 2021GDJC-M38] .
CR Alani AM, 2015, INT J ENV RES PUB HE, V12, P6641, DOI 10.3390/ijerph120606641
   Alves A, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134980
   Awwad M, 2021, CIV ENG J-TEHRAN, V7, P49, DOI 10.28991/cej-2021-03091636
   Bakhshipour AE, 2021, J WATER RES PLAN MAN, V147, DOI 10.1061/(ASCE)WR.1943-5452.0001389
   Bakhshipour AE, 2021, WATER-SUI, V13, DOI 10.3390/w13030269
   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]
   Barreiro J, 2021, CIV ENG J-TEHRAN, V7, P197, DOI 10.28991/cej-2021-03091647
   de Macedo MB, 2022, CRIT REV ENV SCI TEC, V52, P2538, DOI 10.1080/10643389.2021.1886889
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Caradot N, 2018, J HYDROINFORM, V20, P1131, DOI 10.2166/hydro.2018.217
   Casal-Campos A, 2018, ENVIRON SCI TECHNOL, V52, P9008, DOI 10.1021/acs.est.8b01193
   Chen HJ, 2016, SCI TOTAL ENVIRON, V548, P122, DOI 10.1016/j.scitotenv.2016.01.041
   Chen JQ, 2017, J ENVIRON MANAGE, V187, P470, DOI 10.1016/j.jenvman.2016.11.017
   Chen WJ, 2021, INT J DISAST RISK RE, V54, DOI 10.1016/j.ijdrr.2021.102045
   de Brito MM, 2016, NAT HAZARD EARTH SYS, V16, P1019, DOI 10.5194/nhess-16-1019-2016
   Dierkes C, 2015, SUSTAINABILITY-BASEL, V7, P3031, DOI 10.3390/su7033031
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Dong Y, 2018, CONSTR BUILD MATER, V167, P414, DOI 10.1016/j.conbuildmat.2018.02.037
   dos Santos MFN, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102650
   Droli M., 2022, EMERG SCI J, V6, P256
   Eckart K, 2017, SCI TOTAL ENVIRON, V607, P413, DOI 10.1016/j.scitotenv.2017.06.254
   Eggimann S, 2015, WATER RES, V84, P218, DOI 10.1016/j.watres.2015.07.004
   Fontecha JE, 2021, RISK ANAL, V41, P2356, DOI 10.1111/risa.13742
   Forbes C., 2011, STAT DISTRIBUTIONS
   Ganin AA, 2016, SCI REP-UK, V6, DOI 10.1038/srep19540
   Goulden S, 2018, J ENVIRON MANAGE, V219, P37, DOI 10.1016/j.jenvman.2018.04.066
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Hesarkazzazi S, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103827
   Houle JJ, 2013, J ENVIRON ENG, V139, P932, DOI 10.1061/(ASCE)EE.1943-7870.0000698
   Hua P, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118515
   Huang D, 2018, FRONT ENV SCI ENG, V12, DOI 10.1007/s11783-018-1023-1
   Islam A, 2021, J HYDROL, V599, DOI 10.1016/j.jhydrol.2021.126457
   Jato-Espino D, 2022, SCI TOTAL ENVIRON, V817, DOI 10.1016/j.scitotenv.2022.152959
   Jin YL, 2010, J PERFORM CONSTR FAC, V24, P622, DOI 10.1061/(ASCE)CF.1943-5509.0000126
   Johansson J, 2010, THESIS LUND U LUND
   Joyce J, 2018, ENVIRON MODELL SOFTW, V100, P82, DOI 10.1016/j.envsoft.2017.11.008
   Jung YT, 2018, J ENVIRON MANAGE, V213, P90, DOI 10.1016/j.jenvman.2018.01.081
   Kellagher R.B.B., 2009, WAPUG ANN C HR WALL
   Kiefer C.J., 1957, J HYDRAUL DIV, V83, P1, DOI [10.1061/JYCEAJ.0000104, DOI 10.1061/JYCEAJ.0000104]
   Kourtis IM, 2020, J ENVIRON MANAGE, V269, DOI 10.1016/j.jenvman.2020.110822
   Laakso T, 2019, WATER-SUI, V11, DOI 10.3390/w11122657
   Leng L., 2021, Sci. Total Environ., V775
   Leng LY, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138608
   Li CH, 2019, J HYDROL, V568, P626, DOI 10.1016/j.jhydrol.2018.10.074
   Li LY, 2020, LANDSCAPE URBAN PLAN, V194, DOI 10.1016/j.landurbplan.2019.103703
   Li YC, 2014, SUSTAINABILITY-BASEL, V6, P4685, DOI 10.3390/su6074685
   Lim HS, 2016, J HYDROL, V538, P842, DOI 10.1016/j.jhydrol.2016.04.063
   Lin J.Y., 2021, SUSTAINABILITY-BASEL, V13
   Liu J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102906
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   Liu W, 2014, ECOL MODEL, V291, P6, DOI 10.1016/j.ecolmodel.2014.07.012
   Liu YZ, 2018, J HYDROL, V560, P530, DOI 10.1016/j.jhydrol.2018.03.053
   Liu YZ, 2015, J ENVIRON MANAGE, V147, P12, DOI 10.1016/j.jenvman.2014.09.005
   Mashi SA, 2020, NAT HAZARDS, V103, P1727, DOI 10.1007/s11069-020-04052-2
   McBain W., 2010, Flood resilience and resistance for critical infrastructure
   McClymont K, 2020, J ENVIRON MANAGE, V275, DOI 10.1016/j.jenvman.2020.111173
   MHURD, 2016, Code for Design of Outdoor Wastewater Engineering
   MHURD, 2012, TECHN COD WAT SUPPL
   Mohebbi S, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102327
   Mugume SN, 2017, URBAN WATER J, V14, P727, DOI 10.1080/1573062X.2016.1253754
   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
   Mulligan J, 2020, ANTHROPOCENE, V29, DOI 10.1016/j.ancene.2019.100227
   Nika CE, 2020, WATER RES, V183, DOI 10.1016/j.watres.2020.115988
   Rodríguez JP, 2012, WATER RES, V46, P4571, DOI 10.1016/j.watres.2012.06.037
   Qiao XJ, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101963
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Rossman L. A., 2010, Storm water management model User's Manual Version 5.0
   Rossman L.A, 2016, STORM WATER MANAGEME
   Ruangpan L, 2020, NAT HAZARD EARTH SYS, V20, P243, DOI 10.5194/nhess-20-243-2020
   Sitzenfrei R, 2013, WATER RES, V47, P7251, DOI 10.1016/j.watres.2013.10.038
   Suwarno I., 2021, Emerging Science Journal, V4, P154, DOI [10.28991/esj-2021-SP1-011, DOI 10.28991/ESJ-2021-SP1-011]
   Sweetapple C, 2022, WATER RES, V211, DOI 10.1016/j.watres.2022.118108
   Tscheikner-Gratl F, 2019, URBAN WATER J, V16, P662, DOI 10.1080/1573062X.2020.1713382
   Wang MX, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.710931
   Wang MM, 2017, J ENVIRON MANAGE, V201, P145, DOI 10.1016/j.jenvman.2017.06.034
   Wang M, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103358
   Wang M, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102598
   Wang M, 2016, J HYDROL, V543, P423, DOI 10.1016/j.jhydrol.2016.10.019
   Wang S, 2019, WATER RES, V162, P11, DOI 10.1016/j.watres.2019.06.050
   Wang ZL, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110483
   Xu C.Q., 2021, RESOUR CONSERV RECY, V174
   Xu CQ, 2017, J CLEAN PROD, V149, P227, DOI 10.1016/j.jclepro.2017.02.086
   Yang WY, 2021, J CLEAN PROD, V293, DOI 10.1016/j.jclepro.2021.126191
   Yoo G, 2011, OCEAN COAST MANAGE, V54, P524, DOI 10.1016/j.ocecoaman.2011.04.001
   Zahediasl A, 2021, WATER-SUI, V13, DOI 10.3390/w13141886
   Zeng SY, 2019, J ENVIRON MANAGE, V246, P849, DOI 10.1016/j.jenvman.2019.06.028
   Zhang CL, 2022, WATER SCI TECHNOL, V85, P188, DOI 10.2166/wst.2021.503
   Zhang DQ, 2017, URBAN WATER J, V14, P113, DOI 10.1080/1573062X.2015.1076488
   Zhang K, 2018, SCI TOTAL ENVIRON, V621, P915, DOI 10.1016/j.scitotenv.2017.11.281
   Zhao DX, 2022, CATENA, V209, DOI 10.1016/j.catena.2021.105791
   Zhao ZQ, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13214338
   Zischg J, 2019, SCI TOTAL ENVIRON, V651, P1709, DOI 10.1016/j.scitotenv.2018.10.061
   Zou YK, 2021, BUILD ENVIRON, V193, DOI 10.1016/j.buildenv.2021.107663
NR 96
TC 34
Z9 34
U1 11
U2 144
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 AUG 15
PY 2022
VL 834
AR 155267
DI 10.1016/j.scitotenv.2022.155267
EA APR 2022
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 2C3KR
UT WOS:000810771600010
PM 35447181
DA 2025-04-22
ER

PT J
AU Wong, CY
   Wang, IK
   Sheu, J
   Hu, MC
AF Wong, Chan-Yuan
   Wang, I-Kim
   Sheu, Jeffrey
   Hu, Mei-Chih
TI What network orientation supports the development of a Resilient City?
   Evidence from the innovation systems of eighty-seven cities
SO CITIES
LA English
DT Article
DE Resilient cities; Innovation system; System orientations; Patenting;
   OECD; BRICS
ID REGIONAL RESILIENCE; ECONOMIC-CRISIS; KNOWLEDGE; SPILLOVERS; TYPOLOGY;
   CLUSTER; EUROPE; FALL; RISE; TIME
AB It is critical to understand how and why a city's economy rises or falls, especially when an abrupt change is triggered. Not all cities are able to maintain economic sustainability and resilience at the same time they support industrial vigour and innovation activities. This study reviews data collected from eighty-seven cities worldwide to understand how they were able to regain and extend their technological venturing momentum and reinforce their resilience following adverse economic events. It examines patenting indexes derived from the regional innovation system (RIS) of each city. Our difference-in-differences analysis identifies the innovation dynamics of cities in OECD countries, revealing their ability to lay a local knowledge base and to command cross-regional knowledge networks. Our study found that this highly resilient framework surprisingly demonstrated a clear downtrend after the Dotcom Bubble crisis. In contrast, many cities in BRICS and developing countries are relatively behind in terms of both their ability to command the local knowledge base and progress in developing regional and interregional networks. Our resilience analysis breaks new ground in the understanding of regional system orientations and the development context required for a city to maintain resiliency and support its ability to quickly recover from an adverse event.
C1 [Wong, Chan-Yuan; Sheu, Jeffrey; Hu, Mei-Chih] Natl Tsing Hua Univ, Inst Technol Management, 101,Sec 2,Kuang Fu Rd, Hsinchu 30013, Taiwan.
   [Wang, I-Kim] Suffolk Univ, Sawyer Business Sch, 73 Tremont St, Boston, MA 02108 USA.
C3 National Tsing Hua University; Suffolk University
RP Wong, CY (corresponding author), Natl Tsing Hua Univ, Inst Technol Management, 101,Sec 2,Kuang Fu Rd, Hsinchu 30013, Taiwan.
EM wcy@mx.nthu.edu.tw; iwang@suffolk.edu; mchu@mx.nthu.edu.tw
RI WONG, CHAN/C-1044-2010
FU Laboratory Program for Korean Studies through the Ministry of Education
   of Republic of Korea; Korean Studies Promotion Service of the Academy of
   Korean Studies [AKS-2018-LAB-1250001]; Ministry of Science and
   Technology of Taiwan [111-2410-H-007-027-MY2]
FX The authors would like to acknowledge the support by Laboratory Program
   for Korean Studies through the Ministry of Education of Republic of
   Korea and Korean Studies Promotion Service of the Academy of Korean
   Studies (AKS-2018-LAB-1250001). The supports from Ministry of Science
   and Technology of Taiwan (111-2410-H-007-027-MY2) is also acknowledged.
CR Acuto M, 2020, NAT SUSTAIN, V3, P977, DOI 10.1038/s41893-020-00620-3
   [Anonymous], 2020, The Economist
   Asheim BT, 2011, REG STUD, V45, P893, DOI 10.1080/00343404.2010.543126
   Asheirn B, 2007, INNOVATION-ABINGDON, V20, P223, DOI 10.1080/13511610701722846
   Balland PA, 2015, CAMB J REG ECON SOC, V8, P167, DOI 10.1093/cjres/rsv007
   Bergman EM, 2008, HANDBOOK OF RESEARCH ON CLUSTER THEORY, P114
   Billington MG, 2017, EUR PLAN STUD, V25, P425, DOI 10.1080/09654313.2016.1276886
   Bishop P, 2019, ENTREP REGION DEV, V31, P496, DOI 10.1080/08985626.2018.1541595
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Boschma R, 2015, IND CORP CHANGE, V24, P223, DOI 10.1093/icc/dtu012
   Breznitz Dan., 2007, INNOVATION STATE POL
   Chong ZH, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102738
   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., 2001, CANADIAN J REGIONAL, V24, P21
   Cooke P, 2018, NEW HORIZ REG SCI, P130
   Diez JR, 2005, ENVIRON PLANN A, V37, P1813, DOI 10.1068/a3733
   Doloreux D, 2004, REG STUD, V38, P481, DOI 10.1080/0143116042000229267
   Ebersberger B, 2021, J BUS RES, V124, P126, DOI 10.1016/j.jbusres.2020.11.051
   Ferreira ME, 2018, NEW HORIZ REG SCI, P267
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   FLORIDA R, 1994, SCIENCE, V264, P1614, DOI 10.1126/science.264.5165.1614
   Glaeser EL, 2022, URBAN STUD, V59, P3, DOI 10.1177/00420980211052230
   Goodman-Bacon A, 2021, J ECONOMETRICS, V225, P254, DOI 10.1016/j.jeconom.2021.03.014
   Han U, 2016, REG STUD, V50, P1170, DOI 10.1080/00343404.2014.984670
   Hassink R., 2004, Regional Innovation Systems: The Role of Governance in a Globalized World, V2nd, P327
   Jaffe A.B., 2002, Patents, Citations, and Innovations: A Window on the Knowledge Economy
   JAFFE AB, 1993, Q J ECON, V108, P577, DOI 10.2307/2118401
   Jane J., 1961, DEATH LIFE GREAT AM
   Kiuru J, 2017, CITIES, V64, P9, DOI 10.1016/j.cities.2017.01.005
   Kripfganz S, 2019, J APPL ECONOMET, V34, P526, DOI 10.1002/jae.2681
   Lee K, 2013, SCHUMPETERIAN ANALYSIS OF ECONOMIC CATCH-UP: KNOWLEDGE, PATH-CREATION, AND THE MIDDLE-INCOME TRAP, P1
   Lee K, 2021, WORLD DEV, V144, DOI 10.1016/j.worlddev.2021.105472
   Lee K, 2020, J EVOL ECON, V30, P897, DOI 10.1007/s00191-019-00612-3
   Lee S, 2023, URBAN STUD, V60, P26, DOI 10.1177/00420980211064455
   Ma HT, 2021, URBAN STUD, V58, P2405, DOI 10.1177/0042098020942665
   Markatou M, 2015, WORLD CONFERENCE ON TECHNOLOGY, INNOVATION AND ENTREPRENEURSHIP, P240, DOI 10.1016/j.sbspro.2015.06.355
   Markusen A, 1996, ECON GEOGR, V72, P293, DOI 10.2307/144402
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Mathews J.A., 2000, TIGER TECHNOLOGY CRE
   Mayer H, 2016, CITIES, V51, P11, DOI 10.1016/j.cities.2016.01.005
   McCartney P., 2005, Global cities, local knowledge creation: Mapping a new policy terrain on the relationship between universities and cities
   McPherson A. M., 2005, International Journal of Foresight and Innovation Policy, V2, P35, DOI 10.1504/IJFIP.2005.007595
   Menzel MP, 2010, IND CORP CHANGE, V19, P205, DOI 10.1093/icc/dtp036
   Ooms W, 2015, TECHNOVATION, V45-46, P78, DOI 10.1016/j.technovation.2015.08.001
   Puhani PA, 2012, ECON LETT, V115, P85, DOI 10.1016/j.econlet.2011.11.025
   Sabatino M, 2016, J BUS RES, V69, P1924, DOI 10.1016/j.jbusres.2015.10.081
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sonn JW, 2016, REG STUD, V50, P540, DOI 10.1080/00343404.2015.1052061
   Stough RR, 2018, NEW HORIZ REG SCI, P251
   Strange W, 2006, J URBAN ECON, V59, P331, DOI 10.1016/j.jue.2005.10.006
   Stuck J, 2016, EUR PLAN STUD, V24, P423, DOI 10.1080/09654313.2015.1074984
   Sweeney B, 2020, GEOFORUM, V110, P125, DOI 10.1016/j.geoforum.2020.02.005
   Tavassoli S, 2016, ENTREP REGION DEV, V28, P746, DOI 10.1080/08985626.2016.1247916
   Taylor MZ., 2016, The Politics of Innovation: Why Some Countries are Better than Others at Science and Technology
   Tsouri M, 2021, IND INNOV, V28, P860, DOI 10.1080/13662716.2020.1775070
   Wang YD, 2016, REG STUD, V50, P805, DOI 10.1080/00343404.2014.933800
   Wong C.-Y., 2020, GLOB TECH MIN C 13 N
   Wong CY, 2023, EURASIAN GEOGR ECON, V64, P589, DOI 10.1080/15387216.2022.2039741
   Wong CY, 2022, J EVOL ECON, V32, P955, DOI 10.1007/s00191-021-00755-2
   Wong CY, 2015, J INFORMETR, V9, P90, DOI 10.1016/j.joi.2014.11.006
   Wong CY, 2010, SCIENTOMETRICS, V84, P669, DOI 10.1007/s11192-010-0220-x
   Xiao J, 2018, IND CORP CHANGE, V27, P15, DOI 10.1093/icc/dtx023
   Yeung H.W. C., 2016, STRATEGIC COUPLING E
   Yusuf S., 2006, POSTINDUSTRIAL E ASI
   Zhou SY, 2020, POL J ENVIRON STUD, V29, P475, DOI 10.15244/pjoes/102778
NR 66
TC 7
Z9 7
U1 4
U2 32
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD DEC
PY 2022
VL 131
AR 103923
DI 10.1016/j.cities.2022.103923
PG 17
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA CY4R5
UT WOS:001128784600001
DA 2025-04-22
ER

PT J
AU Pavel, A
   Moldovan, BA
   Kourtit, K
   Nijkamp, P
AF Pavel, Alexandru
   Moldovan, Bogdan Andrei
   Kourtit, Karima
   Nijkamp, Peter
TI Urban or Rural: Does It Make A Difference for Economic Resilience? A
   Modelling Study on Economic and Cultural Geography in Romania
SO SUSTAINABILITY
LA English
DT Article
DE resilience; local economic development (LED); urban; rural; North-West
   Region of Romania; index; economic resilience
ID HIGHER-EDUCATION; COMMUNITY RESILIENCE; VULNERABILITY; PERFORMANCE;
   DIVERSITY; RECOVERY; GROWTH; SMES
AB This article aims at investigating and measuring the economic resilience of local communities (43 urban and 403 rural) in Romania. The study focuses on the implications of the deep economic and financial crisis from 2008 to 2011 and explores the capacity of Romanian local economies in the North-West region to respond to these events. The research consists of developing an appropriate framework for assessing and quantifying community economic resilience, based on previous research of existing literature, and of measuring local economic development through a composite indicator by aggregating a series of variables using principal component analysis. The results show some striking differences between urban and rural communities in terms of impact, recovery, and performance compared with a pre-crisis level. Through regression analysis we were able to not only identify the determinants/explanatory factors for high-impact resilience that helped the recovery after an economic shock, but also the resilience drivers for 'bouncing forward' after the crisis, for both urban and rural communities. Our findings show an interesting change in the regional economy: some economic activities from the large urban areas in Romania moved to the nearby rural areas.
C1 [Pavel, Alexandru; Moldovan, Bogdan Andrei] Babes Bolyai Univ Cluj Napoca, Dept Publ Adm & Management, Cluj Napoca 400132, Romania.
   [Kourtit, Karima; Nijkamp, Peter] Alexandru Ioan Cuza Univ, Ctr European Studies, Iasi 700506, Romania.
   [Kourtit, Karima; Nijkamp, Peter] Open Univ, Fac Management, NL-6419 Heerlen, Netherlands.
   [Kourtit, Karima; Nijkamp, Peter] Polytech Univ, Sch Architecture Planning & Design, Ben Guerir 43150, Morocco.
   [Kourtit, Karima; Nijkamp, Peter] Adam Mickiewicz Univ, Geog & Spatial Management, PL-61712 Poznan, Poland.
   [Kourtit, Karima] Uppsala Univ, Dept Social & Econ Geog, SE-75105 Uppsala, Sweden.
   [Kourtit, Karima] KTH Royal Inst Technol, Ctr Future Pl CFP, SE-10044 Stockholm, Sweden.
C3 Babes Bolyai University from Cluj; Alexandru Ioan Cuza University; Open
   University Netherlands; Adam Mickiewicz University; Uppsala University;
   Royal Institute of Technology
RP Pavel, A (corresponding author), Babes Bolyai Univ Cluj Napoca, Dept Publ Adm & Management, Cluj Napoca 400132, Romania.
EM pavel@fspac.ro; moldovan@fspac.ro; k_kourtit@hotmail.com;
   pnijkamp@hotmail.com
RI Moldovan, Bogdan-Andrei/AAK-9622-2021; Pavel, Alexandru/AAA-7690-2019;
   karima, karima/AAH-3200-2019
OI Nijkamp, Peter/0000-0002-4068-8132; Moldovan,
   Bogdan-Andrei/0000-0002-0891-7038; Pavel, Alexandru/0000-0001-5515-6123;
   kourtit, karima/0000-0002-7171-994X
FU Romanian Executive Unit for Financing Higher Education, Research,
   Development and Innovation (UEFISCDI) through the project Dezvoltarea
   cercetarii de frontiera in teoriile cres,teriis,i dezvoltarii regionale
   prin prisma rezilient,ei: catre o Uniune Europea
   [PN-III-P4-ID-PCCF-2016-0166]
FX This study was funded by the Romanian Executive Unit for Financing
   Higher Education, Research, Development and Innovation (UEFISCDI)
   through the project Dezvoltarea cercetarii de frontiera in teoriile
   cres,teriis,i dezvoltarii regionale prin prisma rezilient,ei: catre o
   Uniune Europeana convergenta, echilibratas,i sustenabila (project code:
   PN-III-P4-ID-PCCF-2016-0166) implemented by Alexandru Ioan-Cuza
   University of Ias, i, regroweu@uaic.ro.
CR Agarwal S, 2009, J RURAL STUD, V25, P309, DOI 10.1016/j.jrurstud.2009.02.003
   Aldrich L., 1997, Agriculture Information Bulletin, V737, P2, DOI [10.22004/ag.econ.33677, DOI 10.22004/AG.ECON.33677]
   [Anonymous], 2001, CLIMATE CHANGE IMPAC
   [Anonymous], 2010, PHILIPPINE J DEV
   [Anonymous], PAP EVOL EC GEOGR PE
   [Anonymous], 2018, JRC111606
   [Anonymous], 2010, CAPITALISM SOCIALISM, DOI DOI 10.4324/9780203857090
   Anton SG, 2016, TRANSYLV REV ADM SCI, P5
   Audretsch, 2008, CEPR DISCUSSION PAPE, V6757
   Banica A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122289
   Benedek J, 2017, EAST J EUR STUD, V8, P95
   BENHABIB J, 1994, J MONETARY ECON, V34, P143, DOI 10.1016/0304-3932(94)90047-7
   Blakely EdwardJ., 2009, Planning Local Economic Development: Theory and Practice
   Bruneckiene J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030566
   Burton G., 2012, DEV METRICS COMMUNIT
   Carpenter SR, 2008, ECOL SOC, V13
   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
   Dawley S, 2010, LOCAL ECON, V25, P650, DOI 10.1080/02690942.2010.533424
   Di Caro P, 2017, PAP REG SCI, V96, P93, DOI 10.1111/pirs.12168
   Döpke J, 2017, JCMS-J COMMON MARK S, V55, P1026, DOI 10.1111/jcms.12551
   Duranton G, 2000, URBAN STUD, V37, P533, DOI 10.1080/0042098002104
   Egger H, 2006, EUR ECON REV, V50, P1993, DOI 10.1016/j.euroecorev.2005.10.002
   Ezcurra R, 2019, PAP REG SCI, V98, P1267, DOI 10.1111/pirs.12417
   Feldmann H, 2007, AM J ECON SOCIOL, V66, P795, DOI 10.1111/j.1536-7150.2007.00540.x
   Foster KA, 2012, URBAN AND REGIONAL POLICY AND ITS EFFECTS: BUILDING RESILIENT REGIONS, VOL 4, P24
   Foster Kathryn A., 2006, Working Paper 2007-08
   Foszto L., 2012, La ricerca folklorica, P51
   Fratesi U, 2018, ANN REGIONAL SCI, V60, P241, DOI 10.1007/s00168-017-0828-3
   Giacometti, 2018, REGIONAL EC SOCIAL R
   Giannakis E, 2017, EUR PLAN STUD, V25, P1394, DOI 10.1080/09654313.2017.1319464
   Goschin Z., 2019, J. Soc. Econo. Statis., V8, P11, DOI [https://doi.org/10.2478/jses-2019-0002, DOI 10.2478/JSES-2019-0002]
   Graziano P, 2016, SCI TOTAL ENVIRON, V553, P211, DOI 10.1016/j.scitotenv.2016.02.051
   Headey DD, 2009, POPUL DEV REV, V35, P221, DOI 10.1111/j.1728-4457.2009.00274.x
   Hill E., 2008, 200804 IURD
   Hintea C.E., 2019, STRATEGIC PLANNING L
   Ion Mincu University of Architecture and Urbanism (n.d.), STUD FUND VED ACT PA
   Iordan M, 2015, PROC ECON FINANC, V22, P627, DOI 10.1016/S2212-5671(15)00274-9
   Jacoby HG, 2000, ECON J, V110, P713, DOI 10.1111/1468-0297.00562
   Jaegers T., 2013, STAT FOCUS, V1
   Kohoutek J, 2017, HIGH EDUC POLICY, V30, P401, DOI 10.1057/s41307-017-0068-2
   Kourtit K, 2015, NEW HORIZ REG SCI, P1
   Lazzeretti L, 2005, EUR PLAN STUD, V13, P475, DOI 10.1080/09654310500089779
   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
   Mazilu S, 2020, TRANSYLV REV ADM SCI, P77, DOI 10.24193/tras.59E.5
   Nardo M., 2008, OECD STAT WORKING PA, DOI DOI 10.1787/533411815016
   North D, 2000, REG STUD, V34, P145, DOI 10.1080/00343400050006069
   North D, 1996, J RURAL STUD, V12, P151, DOI 10.1016/0743-0167(96)00009-5
   North D, 2000, EUR PLAN STUD, V8, P87, DOI 10.1080/096543100110947
   Osth J, 2018, TRANSPORTATION, V45, P1051, DOI 10.1007/s11116-017-9854-3
   Pavel A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010282
   Pavel A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103384
   Pinheiro R, 2016, J HIGH EDUC POLICY M, V38, P150, DOI 10.1080/1360080X.2016.1150237
   POLESE M., 2010, The resilient city: on the determinants of successful urban economics
   Porter M.E., 2004, COMPETITIVENESS RURA
   Preda M, 2016, TRANSYLV REV ADM SCI, P55
   Radu B, 2018, TRANSYLV REV ADM SCI, P73, DOI 10.24193/tras.54E.5
   Rives Janet M., 1995, Regional Science Perspectives, V25, P58
   Rizzi P., 2015, RIV INT SCI SOC, P307
   Rizzi P, 2018, ANN REGIONAL SCI, V60, P285, DOI 10.1007/s00168-017-0854-1
   Roman M, 2011, J STUDY RELIG IDEOL, V10, P183
   Rose A., 2002, ENVIRON HAZARDS-UK, V4, P1
   Rose A, 2013, INT J DISAST RISK RE, V5, P73, DOI 10.1016/j.ijdrr.2013.08.003
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Stimson R.J., 2006, REGIONAL EC DEV ANAL
   Tran LT, 2010, APPL GEOGR, V30, P191, DOI 10.1016/j.apgeog.2009.05.003
   Wickes R, 2015, SOC SCI QUART, V96, P330, DOI 10.1111/ssqu.12144
   Wong C, 2002, URBAN STUD, V39, P1833, DOI 10.1080/0042098022000002984
   Xiao Y, 2013, J AM PLANN ASSOC, V79, P148, DOI 10.1080/01944363.2013.882125
   Yegrorov Y.A., 2009, Chinese Business Review, V7, P1
   Zaman G, 2015, ECON COMPUT ECON CYB, V49, P21
NR 73
TC 28
Z9 29
U1 11
U2 87
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 3776
DI 10.3390/su12093776
PG 39
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:000537476200274
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Huck, A
   Monstadt, J
AF Huck, Andreas
   Monstadt, Jochen
TI Urban and infrastructure resilience: Diverging concepts and the need for
   cross-boundary learning
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Urban resilience; Infrastructure resilience; Critical infrastructures;
   Knowledge production; Communities of practice
ID COMMUNITIES; GOVERNANCE; ROTTERDAM; SECURITY; PARTNERSHIPS; PERSPECTIVE;
   ADAPTATION; CHALLENGE; FRAMEWORK; POLITICS
AB The concept of resilience has attracted considerable attention in policy and research communities in the fields of both urban and infrastructure development and governance. Resilience has been framed as a boundary concept bridging different communities of knowledge production and practice. However, a closer look at the joint enterprise, the shared repertoire, and the mutual engagement of respective knowledge communities in urban and infrastructure research and planning practice reveals that resilience is understood and dealt with in rather diverging ways. This paper explores some of these divides, then argues that differences in knowledge production can induce somewhat disconnected policy outcomes and governance approaches which consequently weaken cities' ability to address current and future challenges. Therefore, we call for more interaction and cross boundary learning between respective knowledge communities.
C1 [Huck, Andreas] Tech Univ Darmstadt, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
   [Huck, Andreas; Monstadt, Jochen] Univ Utrecht, Dept Human Geog & Planning, Fac Geosci, Vening Meineszgebouw A,Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
C3 Technical University of Darmstadt; Utrecht University
RP Huck, A (corresponding author), Tech Univ Darmstadt, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.; Huck, A (corresponding author), Univ Utrecht, Dept Human Geog & Planning, Fac Geosci, Vening Meineszgebouw A,Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
EM huck@kritis.tu-darmstadt.de; j.monstadt@uu.nl
RI Monstadt, Jochen/AAE-5440-2022
OI Monstadt, Jochen/0000-0001-9146-1571
FU German Research Foundation (DFG) within the Research Training Group
   KRITIS at TU Darmstadt [GRK 2222]
FX This work was supported by the German Research Foundation (DFG) within
   the Research Training Group KRITIS at TU Darmstadt [grant number GRK
   2222].
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Albert M, 2008, SOC SCI MED, V66, P2520, DOI 10.1016/j.socscimed.2008.01.052
   Allen Adriana., 2017, Environmental Justice and Urban Resilience in the Global South New York, DOI 10.1057/978-1-137-47354-76
   Amir S, 2018, RISK ANAL, V38, P8, DOI 10.1111/risa.12816
   [Anonymous], 2008, COMMUNITIES PRACTICE
   [Anonymous], C P 11 INT ISCRAM C
   [Anonymous], GETT REAL RES CIT CA
   [Anonymous], PREHISTORY RESILIENC
   [Anonymous], TRENDS URB RES 2017
   [Anonymous], 2006, Resilience Engineering
   [Anonymous], 2012, RISK INTERDEPENDENCI
   [Anonymous], 2003, EPISTEMIC CULTURES S
   [Anonymous], MULTIDISCIPLINARY PE
   [Anonymous], CRIT THINK MOV INFR
   [Anonymous], MULTIDISCIPLINARY PE
   Bach C, 2014, SAPIENS, V6, P1
   Baggio JA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07484-200202
   Bijker W.E., 2006, CULTURES TECHNOLOGY, P52
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Boin A., 2007, J CCM, V15, P50, DOI DOI 10.1111/J.1468-5973.2007.00504.X
   Bouchon S., 2006, VULNERABILITY INTERD
   Brassett J, 2015, SECUR DIALOGUE, V46, P32, DOI 10.1177/0967010614555943
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Chandler D., 2014, RESILIENCE GOVERNANC
   Chandler D, 2014, RESILIENCE, V2, P47, DOI 10.1080/21693293.2013.878544
   Chapman L, 2013, URBAN CLIM, V3, P7, DOI 10.1016/j.uclim.2013.04.001
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Chen J, 2013, J CONTING CRISIS MAN, V21, P130, DOI 10.1111/1468-5973.12021
   Coaffee J., 2016, URBAN RESILIENCE PLA
   Coaffee J, 2016, ROUT STUD CRIM SOC, P15
   Coaffee J, 2015, TOWN PLAN REV, V86, P249, DOI 10.3828/tpr.2015.16
   Coaffee J, 2013, POLITICS-OXFORD, V33, P240, DOI 10.1111/1467-9256.12011
   Collier SJ, 2015, THEOR CULT SOC, V32, P19, DOI 10.1177/0263276413510050
   Cruz AM, 2009, J LOSS PREVENT PROC, V22, P59, DOI 10.1016/j.jlp.2008.08.007
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   de Bruijne M., 2007, J CONTINGENCIES CRIS, V15, P18, DOI [10.1111/j.1468-5973.2007.00501.x, DOI 10.1111/J.1468-5973.2007.00501.X]
   Dewulf A, 2015, J WATER CLIM CHANGE, V6, P1, DOI 10.2166/wcc.2014.000
   Dunn-Cavelty M, 2009, INT J CRIT INFR PROT, V2, P179, DOI 10.1016/j.ijcip.2009.08.006
   Elsner I., 2018, Key Concepts for Critical Infrastructure Research, P31, DOI DOI 10.1007/978-3-658-22920-7_4
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P90, DOI 10.1016/j.envsci.2016.01.010
   Gay LF, 2013, INT J CRIT INFRASTRU, V9, P330, DOI 10.1504/IJCIS.2013.058172
   Gersonius B, 2016, NAT HAZARDS, V82, pS201, DOI 10.1007/s11069-015-2015-0
   Gleeson B, 2008, URBAN STUD, V45, P2653, DOI 10.1177/0042098008098198
   Goldstein BruceEvan., 2012, Collaborative Resilience: Moving Through Crisis to Opportunity
   Graham S, 2007, THEOR CULT SOC, V24, P1, DOI 10.1177/0263276407075954
   Graham Stephen., 2009, DISRUPTED CITIES INF
   Guy S., 2012, Shaping urban infrastructures: Intermediaries and the governance of socio-technical networks
   HAAS PM, 1992, INT ORGAN, V46, P1, DOI 10.1017/S0020818300001442
   Haddaway NR, 2018, NAT CLIM CHANGE, V8, P444, DOI 10.1038/s41558-018-0180-3
   Handley K, 2006, J MANAGE STUD, V43, P641, DOI 10.1111/j.1467-6486.2006.00605.x
   Harman BP, 2015, CURR OPIN ENV SUST, V12, P74, DOI 10.1016/j.cosust.2014.11.001
   Herbane B, 2010, BUS HIST, V52, P978, DOI 10.1080/00076791.2010.511185
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hommels A., 2018, The Sociotechnical Constitution of Resilience: A New Perspective on Governing Risk and Disaster, P265, DOI [10.1007/978-981-10-8509-3_12, DOI 10.1007/978-981-10-8509-3_12]
   Huang CN, 2014, KNOWL-BASED SYST, V55, P66, DOI 10.1016/j.knosys.2013.10.010
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   Jordan A., 2006, COORDINATION EUROPEA
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kastenhofer K, 2007, INNOVATION-ABINGDON, V20, P359, DOI 10.1080/13511610701767908
   Kimble C, 2010, INT J INFORM MANAGE, V30, P437, DOI 10.1016/j.ijinfomgt.2010.02.002
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Knorr Cetina Karin., 2015, INT ENCY SOCIAL BEHA, P873, DOI DOI 10.1016/B978-0-08-097086-8.10454-4
   Knorr-Cetina K., 1981, The manufacture of Knowledge An essay on the Constructivist and Contextual Nature of Science
   Kröeger W, 2008, RELIAB ENG SYST SAFE, V93, P1781, DOI 10.1016/j.ress.2008.03.005
   Kröger W, 2011, VULNERABLE SYSTEMS, P1, DOI 10.1007/978-0-85729-655-9_1
   Krumme K., 2016, Renew. Energy Sustain. Dev., V2, P70, DOI DOI 10.21622/RESD.2016.02.2.070
   Labaka L, 2016, TECHNOL FORECAST SOC, V103, P21, DOI 10.1016/j.techfore.2015.11.005
   Lave J., 1991, Situated learning: legitimate peripheral participation, DOI [DOI 10.1017/CBO9780511815355, 10.1017/CBO9780511815355]
   Leech NL, 2008, SCHOOL PSYCHOL QUART, V23, P587, DOI 10.1037/1045-3830.23.4.587
   Little R.G., 2010, Disrupted Cities When Infrastructures Fails, V1st, P27
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Marana P, 2018, SAFETY SCI, V110, P39, DOI 10.1016/j.ssci.2017.12.011
   Markolf SA, 2018, EARTHS FUTURE, V6, P1638, DOI 10.1029/2018EF000926
   Medd W., 2005, J CONTING CRISIS MAN, V13, P44, DOI DOI 10.1111/J.1468-5973.2005.00455.X
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   Orlikowski WJ, 2002, ORGAN SCI, V13, P249, DOI 10.1287/orsc.13.3.249.2776
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Rockefeller Foundation and Arup, 2018, CIT RES IND UND MEAS
   Rogers CDF, 2012, P I CIVIL ENG-MUNIC, V165, P73, DOI 10.1680/muen.11.00030
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Van House N. A., 2002, JCDL 2002. Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries, P231, DOI 10.1145/544220.544270
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   Wenger E, 2000, ORGANIZATION, V7, P225, DOI 10.1177/135050840072002
   Wenger E., 2006, COMMUNITIES PRACTICE
   WINNER L, 1980, DAEDALUS, V109, P121
NR 89
TC 30
Z9 32
U1 6
U2 63
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 OCT
PY 2019
VL 100
BP 211
EP 220
DI 10.1016/j.envsci.2019.05.008
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IP9NI
UT WOS:000480376500022
OA Green Published
DA 2025-04-22
ER

PT J
AU Graham, L
   Debucquoy, W
   Anguelovski, I
AF Graham, Leigh
   Debucquoy, Wim
   Anguelovski, Isabelle
TI The influence of urban development dynamics on community resilience
   practice in New York City after Superstorm Sandy: Experiences from the
   Lower East Side and the Rockaways
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Resilience; Community organizing; Civic infrastructure; Superstorm
   Sandy; Disaster recovery; Urban development
ID CLIMATE-CHANGE ADAPTATION; ENVIRONMENTAL GENTRIFICATION; HURRICANE
   SANDY; VULNERABILITY; CAPACITY; LESSONS; JUSTICE; CITIES; CHALLENGES;
   POLITICS
AB While (urban) resilience has become an increasingly popular concept, especially in the areas of disaster risk reduction (DRR) and climate change adaptation (CCA), it is often still used as an abstract metaphor, with much debate centered on definitions, differences in approaches, and epistemological considerations. Empirical studies examining how community-based organizations (CBOs) "practice" resilience on the ground and what enables these CBOs to organize and mobilize around resilience are lacking. Moreover, in the growing context of competitive and entrepreneurial urbanism and conflicting priorities about urban (re)development, it is unclear how urban development dynamics influence community based resilience actions. Through empirical research conducted on the Lower East Side, a gentrifying neighborhood in Manhattan, and in Rockaway, a socio-spatially isolated neighborhood in Queens, we investigate community organizing of low-income residents for (climate) resilience in a post-disaster context. Results show that both the operationalization of resilience- how resilience is "practiced"- and the community capacity to organize for the improved resilience of low-income residents are strongly influenced by pre-existing urban development dynamics and civic infrastructure- the socio-spatial networks of community-based organizations- in each neighborhood. The Lower East Side, with its long history of community activism and awareness of gentrification threats, was better able to mobilize broadly and collectively around resilience needs while the more socio-spatially isolated neighborhoods on the Rockaway peninsula were more constrained. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Graham, Leigh] CUNY John Jay Coll Criminal Justice, 524 West 59th St,3519-N, New York, NY 10019 USA.
   [Graham, Leigh] CUNY, Grad Ctr, 524 West 59th St,3519-N, New York, NY 10019 USA.
   [Debucquoy, Wim; Anguelovski, Isabelle] Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, E-08193 Barcelona, Spain.
   [Anguelovski, Isabelle] Hosp Mar, Res Inst IMIM, Barcelona, Spain.
C3 City University of New York (CUNY) System; John Jay College of Criminal
   Justice (CUNY); City University of New York (CUNY) System; Autonomous
   University of Barcelona; Hospital del Mar Research Institute; Hospital
   del Mar
RP Graham, L (corresponding author), CUNY John Jay Coll Criminal Justice, 524 West 59th St,3519-N, New York, NY 10019 USA.; Graham, L (corresponding author), CUNY, Grad Ctr, 524 West 59th St,3519-N, New York, NY 10019 USA.
EM lgraham@jjay.cun.edu
RI Graham, Leigh/K-9372-2019
OI Anguelovski, Isabelle/0000-0002-6409-5155; Graham,
   Leigh/0000-0002-4984-5894
FU PSC-CUNY Award [66567-00 44]; Office for the Advancement of Research's
   Emergency Fund Program at John Jay College of Criminal Justice; Gittell
   Urban Studies Collective; JEMES CiSu Masters Program
FX The authors wish to thank Bryce DuBois for his research assistance in
   Rockaway. We also would like to thank the community activists and
   residents in Rockaway and the Lower East Side for their time and
   insights on community organizing and their willingness to share their
   knowledge with us. Research in the Rockaways was partially funded by a
   PSC-CUNY Award (# 66567-00 44), by a grant from the Office for the
   Advancement of Research's Emergency Fund Program at John Jay College of
   Criminal Justice, and by a Junior Faculty Award from the Gittell Urban
   Studies Collective. Research on the LES and in Rockaway was supported by
   the JEMES CiSu Masters Program.
CR Abu-Lughod JanetL., 1994, URBAN VILLAGE E VILL
   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, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Adger WN., 2006, GLOBAL ENVIRON CHANG, V16, P268
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   Anguelovski Isabelle., 2011, icinde, Environmental Inequalities Beyond Borders: Local Perspectives on Global Injustices s, P19
   [Anonymous], J PLANN ED RES
   [Anonymous], SAND EFF HOUS NEW YO
   [Anonymous], 13 INHERITED FRAGMEN
   [Anonymous], 2015, NY TIMES
   [Anonymous], CHALLENGES OPPORTUNI
   [Anonymous], COMMUNITY BUILDING C
   [Anonymous], ONENYC PLAN STRONG J
   [Anonymous], 2011, CHOICE REV ONLINE, DOI DOI 10.5860/CHOICE.49-0882
   [Anonymous], SELLING LOWER E SIDE
   [Anonymous], CLIM POLICY
   [Anonymous], CURR OPIN ENV SUST
   [Anonymous], STORM OCCUPY SANDY N
   [Anonymous], 1942, HEART CITY
   [Anonymous], 2016, FALL 2016 SURV FAC S
   [Anonymous], THE ROCKAWAYS
   [Anonymous], 2009, The SAGE handbook of European studies
   [Anonymous], WNYC NEWS
   [Anonymous], STAT NEW YORK CIT HO
   [Anonymous], ENV URBAN
   [Anonymous], QUIET MASSIVE REZONI
   [Anonymous], NY TIMES
   [Anonymous], 2014, Fifth assessment report
   Archer D, 2015, URBAN CLIM, V14, P68, DOI 10.1016/j.uclim.2015.06.007
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Aylett A, 2010, ENVIRON PLANN A, V42, P99, DOI 10.1068/a4274
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Benjamin-Alvarado J, 2009, URBAN AFF REV, V44, P718, DOI 10.1177/1078087408323380
   Birkland T.A., 1997, DISASTER AGENDA SETT
   Briggs XD, 1998, HOUS POLICY DEBATE, V9, P177, DOI 10.1080/10511482.1998.9521290
   Broto VC, 2013, LOCAL ENVIRON, V18, P678, DOI 10.1080/13549839.2013.801573
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   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
   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
   Checker M, 2011, CITY SOC, V23, P210, DOI 10.1111/j.1548-744X.2011.01063.x
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Curran W, 2012, LOCAL ENVIRON, V17, P1027, DOI 10.1080/13549839.2012.729569
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Dale A, 2009, LOCAL ENVIRON, V14, P669, DOI 10.1080/13549830903089283
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   DeFilippis J, 2001, HOUS POLICY DEBATE, V12, P781, DOI 10.1080/10511482.2001.9521429
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Dodman D, 2008, IDS BULL-I DEV STUD, V39, P67
   Eisinger P, 1998, URBAN AFF REV, V33, P308, DOI 10.1177/107808749803300302
   Fessenden Ford, 2013, The New York Times
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gittell R., 1998, Community Organizing: Building Social Capital as a Development Strategy, DOI [10.4135/9781452220567, DOI 10.4135/9781452220567]
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Graham L, 2012, J AM PLANN ASSOC, V78, P466, DOI 10.1080/01944363.2012.738143
   Graham L, 2012, HOUS POLICY DEBATE, V22, P5, DOI 10.1080/10511482.2011.624527
   Graham Leigh., 2015, The Routledge Handbook of Poverty in the United States, P512
   Graham LT, 2007, ECON DEV Q, V21, P299, DOI 10.1177/0891242407306355
   Greenberg M, 2008, CULT SPACES, P1
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   HARVEY D, 1989, GEOGR ANN B, V71, P3, DOI 10.2307/490503
   Holling C.S., 1996, Engineering Within Ecological Constraints, P3144
   Kaplan Lawrence., 2003, Between ocean and city: the transformation of Rockaway, New York
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keyes LC, 1996, HOUS POLICY DEBATE, V7, P201, DOI 10.1080/10511482.1996.9521219
   Kithiia J, 2010, CITIES, V27, P466, DOI 10.1016/j.cities.2010.08.001
   Lang RE, 1998, HOUS POLICY DEBATE, V9, P1
   Lees L., 2008, The Gentrification Reader
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Logan JohnR. Harry L. Molotch., 1987, URBAN FORTUNES POLIT
   Martin-Breen P., 2011, Resilience: A Literature Review Bellagio Initiative
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Miller F, 2010, ECOL SOC, V15
   Navarro M., 2012, NY Times
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Parr John, 1993, National Civic Review, V82, P93
   Pearsall H, 2012, LOCAL ENVIRON, V17, P1013, DOI 10.1080/13549839.2012.714762
   Peck J, 2002, ANTIPODE, V34, P380, DOI 10.1111/1467-8330.00247
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Preston BL, 2015, MITIG ADAPT STRAT GL, V20, P467, DOI 10.1007/s11027-013-9503-x
   Romero-Lankao P, 2011, CURR OPIN ENV SUST, V3, P113, DOI 10.1016/j.cosust.2011.02.002
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Rosenzweig C, 2010, ANN NY ACAD SCI, V1196, P13, DOI 10.1111/j.1749-6632.2009.05306.x
   Sampson R.J., 2003, CRIMINOLOGICAL THEOR, V2nd, P118
   Schmeltz MT, 2013, J URBAN HEALTH, V90, P799, DOI 10.1007/s11524-013-9832-9
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Simon D, 2015, CURR OPIN ENV SUST, V13, P109, DOI 10.1016/j.cosust.2015.03.003
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith N, 1999, INT J URBAN REGIONAL, V23, P638, DOI 10.1111/1468-2427.00220
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Sovacool BK, 2011, CLIM POLICY, V11, P1177, DOI 10.1080/14693062.2011.579315
   Stumpp EM, 2013, CITIES, V32, P164, DOI 10.1016/j.cities.2013.01.003
   Temkin K, 1996, J PLAN EDUC RES, V15, P159, DOI 10.1177/0739456X9601500301
   Temkin K, 1998, HOUS POLICY DEBATE, V9, P61
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Walker B., 2004, Ecology and Society, V9, P5
   While A, 2004, INT J URBAN REGIONAL, V28, P549, DOI 10.1111/j.0309-1317.2004.00535.x
   While A, 2013, URBAN STUD, V50, P1325, DOI 10.1177/0042098013480963
NR 108
TC 50
Z9 63
U1 4
U2 125
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD SEP
PY 2016
VL 40
BP 112
EP 124
DI 10.1016/j.gloenvcha.2016.07.001
PG 13
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA DV9YD
UT WOS:000383297200011
DA 2025-04-22
ER

PT J
AU Shi, Q
   Luo, WS
   Xiao, C
   Wang, JL
   Zhu, H
   Chen, X
AF Shi, Qian
   Luo, Wensen
   Xiao, Chao
   Wang, Julian
   Zhu, Han
   Chen, Xin
TI Investigating urban-scale building thermal resilience under compound
   heat waves and power outage events based on urban morphology analysis
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Building thermal resilience; Urban morphology; Microclimate; Building
   performance simulation; Heat wave; Power outage
ID ENERGY PERFORMANCE; COOL MATERIALS; EXTREME HEAT; MICROCLIMATE; WEATHER;
   CLIMATE; MODELS; GENERATION; EFFICIENCY; SYSTEM
AB Within the complex context of global warming, compound heat waves and power outage events are frequently observed. Building thermal resilience is a crucial criterion for evaluating building performance under extreme conditions. However, most studies primarily focused on individual buildings, often neglecting the broader macro perspectives and urban heat island effects. To address these gaps, this study proposes an effective evaluation framework for assessing building thermal resilience. At the individual building scale, this framework incorporates both microclimate conditions and building properties through simulations that integrate the combining the urban weather generator model and urban building energy model. At the city-wide scale, it integrates datasets of urban morphology, building information, and weather files, and then construct an urban knowledge graph to facilitate information interaction for massive simulations. Subsequently, the framework integrates building performance indicators and visualizes them on maps to reveal distribution patterns and vulnerable areas, allowing for targeted strategies to enhance urban thermal resilience and prepare residents for unexpected crises. The framework was demonstrated by simulating indoor environments for 214,554 residential buildings during the power outage in Phoenix. The results reveal that traditional methods that ignored microclimates, overestimated building thermal performance by 13 %. Additionally, building thermal resilience varied significantly across the city, with some indicators differing by up to 645 %. This study underscores the significance of microclimates and introduces a novel framework for evaluating building thermal resilience from both micro and macro perspectives. It provides practical recommendations for urban heat adaptation, encompassing home retrofits, resource allocation, service enhancements, and infrastructure upgrades.
C1 [Shi, Qian; Luo, Wensen; Xiao, Chao; Chen, Xin] Tongji Univ, Sch Econ & Management, Siping Rd 1239, Shanghai 200092, Peoples R China.
   [Wang, Julian] Penn State Univ, Dept Architectural Engn, University Pk, PA 16802 USA.
   [Zhu, Han] Tongji Univ, Sch Mech Engn, Shanghai 200092, Peoples R China.
C3 Tongji University; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania State University -
   University Park; Penn State Behrend; Tongji University
RP Xiao, C (corresponding author), Tongji Univ, Sch Econ & Management, Siping Rd 1239, Shanghai 200092, Peoples R China.
EM chaoxiao@tongji.edu.cn
RI Luo, Wensen/MFI-1951-2025
FU National Natural Science Foundation of China (NSFC) [T2261129476];
   National Office of Philosophy and Social Sciences (NOPSS) [20CGL047];
   National Science Foundation (NSF) [2215421]
FX This work is supported by the National Natural Science Foundation of
   China (NSFC, No. T2261129476) , the National Office of Philosophy and
   Social Sciences (NOPSS, No. 20CGL047) , and the National Science
   Foundation (NSF, No. 2215421) . Any opinions, findings, and conclusions
   or recommendations expressed in this work are those of the authors and
   do not necessarily reflect the views of any funding agencies.
CR Amaripadath D, 2024, J BUILD ENG, V91, DOI 10.1016/j.jobe.2024.109655
   [Anonymous], 2022, City and town population totals: 2010-2019
   Arizona State Climate Office, 2024, Urban Heat Island | Arizona State Climate Office WWW Document
   Baniassadi Amir, 2020, Journal of Engineering for Sustainable Buildings and Cities, V1, DOI 10.1115/1.4045678
   Baniassadi A, 2018, BUILD ENVIRON, V139, P86, DOI 10.1016/j.buildenv.2018.05.024
   Baniassadi A, 2018, BUILD ENVIRON, V132, P263, DOI 10.1016/j.buildenv.2018.01.037
   Battista G, 2016, ENERG BUILDINGS, V133, P446, DOI 10.1016/j.enbuild.2016.10.004
   Bell NO, 2022, RENEW SUST ENERG REV, V162, DOI 10.1016/j.rser.2022.112363
   Bouyer J, 2011, ENERG BUILDINGS, V43, P1549, DOI 10.1016/j.enbuild.2011.02.010
   Brandi A, 2024, Q J ROY METEOR SOC, V150, P3099, DOI 10.1002/qj.4752
   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
   Bueno B, 2013, J APPL METEOROL CLIM, V52, P472, DOI 10.1175/JAMC-D-12-083.1
   Che Muhamed Ahmad Munir, 2016, Temperature (Austin), V3, P455, DOI 10.1080/23328940.2016.1182669
   Chen KY, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-35621-7
   Chen SS, 2024, BUILD ENVIRON, V266, DOI 10.1016/j.buildenv.2024.112089
   Chen YX, 2017, APPL ENERG, V205, P323, DOI 10.1016/j.apenergy.2017.07.128
   Chow WTL, 2012, BUILD ENVIRON, V47, P170, DOI 10.1016/j.buildenv.2011.07.027
   Clark SS, 2019, SUSTAIN RESIL INFRAS, V4, P21, DOI 10.1080/23789689.2018.1448668
   Davila CC, 2016, ENERGY, V117, P237, DOI 10.1016/j.energy.2016.10.057
   Do V, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38084-6
   DOE, 2024, Prototype building models | building energy codes program WWW Document
   Du FY, 2024, CITIES, V155, DOI 10.1016/j.cities.2024.105424
   Ebi KL, 2021, LANCET, V398, P698, DOI 10.1016/S0140-6736(21)01208-3
   Georgescu M., 2023, Nature Cities, V1, P42, DOI [DOI 10.1038/S44284-023-00001-9, 10.1038/s44284-023-00001-9]
   Gros A, 2014, SUSTAIN CITIES SOC, V13, P254, DOI 10.1016/j.scs.2014.02.002
   Grossman-Clarke S, 2008, J APPL METEOROL CLIM, V47, P752, DOI 10.1175/2007JAMC1647.1
   Hamdi H, 2024, APPL SCI-BASEL, V14, DOI 10.3390/app14010185
   Hamdi R, 2008, J APPL METEOROL CLIM, V47, P2627, DOI 10.1175/2008JAMC1865.1
   Hammerberg Kristopher, 2019, Applied Mechanics and Materials, V887, P344, DOI 10.4028/www.scientific.net/AMM.887.344
   Homaei S, 2021, BUILD ENVIRON, V201, DOI 10.1016/j.buildenv.2021.108022
   Homaei S, 2021, ENERGIES, V14, DOI 10.3390/en14102787
   Howard B, 2012, ENERG BUILDINGS, V45, P141, DOI 10.1016/j.enbuild.2011.10.061
   Howard L., 1818, The Climate of London, DOI [10.1017/CBO9781139226899, DOI 10.1017/CBO9781139226899]
   Jain R, 2020, J BUILD PERFORM SIMU, V13, P182, DOI 10.1080/19401493.2018.1534275
   Jasak H, 2009, INT J NAV ARCH OCEAN, V1, P89, DOI 10.3744/JNAOE.2009.1.2.089
   Katal A, 2019, APPL ENERG, V250, P1402, DOI 10.1016/j.apenergy.2019.04.192
   Ke XD, 2016, APPL ENERG, V183, P504, DOI 10.1016/j.apenergy.2016.08.188
   Kephart JL, 2022, NAT MED, V28, P1700, DOI 10.1038/s41591-022-01872-6
   Kolokotroni M, 2006, SOL ENERGY, V80, P383, DOI 10.1016/j.solener.2005.03.010
   Krayem A, 2019, ENERG BUILDINGS, V199, P223, DOI 10.1016/j.enbuild.2019.06.050
   Krelling AF, 2023, ENERG BUILDINGS, V281, DOI 10.1016/j.enbuild.2022.112770
   Krelling AF, 2023, BUILD ENVIRON, V245, DOI 10.1016/j.buildenv.2023.110887
   Li HL, 2023, ENERGY, V278, DOI 10.1016/j.energy.2023.128020
   Litardo J, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102387
   Liu S, 2023, SUSTAIN CITIES SOC, V94, DOI 10.1016/j.scs.2023.104509
   Luo PY, 2023, BUILD ENVIRON, V231, DOI 10.1016/j.buildenv.2023.110035
   Luo X, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11111206
   Ma R, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02261-5
   Ma R, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103516
   Mao JC, 2017, BUILD ENVIRON, V124, P153, DOI 10.1016/j.buildenv.2017.08.011
   Mauree D, 2019, RENEW SUST ENERG REV, V112, P733, DOI 10.1016/j.rser.2019.06.005
   Mirzaee S, 2020, APPL NETW SCI, V5, DOI 10.1007/s41109-020-00316-9
   Mirzaei PA, 2015, SUSTAIN CITIES SOC, V19, P200, DOI 10.1016/j.scs.2015.04.001
   Mohammadiziazi R, 2021, ENERG BUILDINGS, V248, DOI 10.1016/j.enbuild.2021.111175
   Mortezazadeh M, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102670
   Nikolopoulou M, 2007, BUILD ENVIRON, V42, P3691, DOI 10.1016/j.buildenv.2006.09.008
   NOAA, 2024, NOAA National Centers For Environmental information, Climate at a Glance: City Mapping WWW Document
   NOAA, 2019, Heat safety WWW Document
   NOAA, 2024, Heat watch vs. Warning
   Oke T.R., 2006, INITIAL GUIDANCE OBT
   Oulmouden S, 2024, BUILD ENVIRON, V266, DOI 10.1016/j.buildenv.2024.112090
   Ozkan A, 2019, BUILD RES INF, V47, P493, DOI 10.1080/09613218.2018.1451959
   Pan XY, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-59228-8
   Powers JG, 2017, B AM METEOROL SOC, V98, P1717, DOI 10.1175/BAMS-D-15-00308.1
   Rajput M, 2022, ENERG BUILDINGS, V259, DOI 10.1016/j.enbuild.2021.111605
   Rode P, 2014, ENVIRON PLANN B, V41, P138, DOI 10.1068/b39065
   Sailor DJ, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0bb9
   Salvati A, 2020, J BUILD PERFORM SIMU, V13, P209, DOI 10.1080/19401493.2019.1707876
   Sezer N, 2023, RENEW SUST ENERG REV, V184, DOI 10.1016/j.rser.2023.113577
   Shen PY, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102954
   Sheng MG, 2023, BUILD ENVIRON, V230, DOI 10.1016/j.buildenv.2023.110001
   Shu C, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108415
   Siu CY, 2023, BUILD ENVIRON, V234, DOI 10.1016/j.buildenv.2023.110124
   Stone B, 2021, ENVIRON SCI TECHNOL, V55, P6957, DOI 10.1021/acs.est.1c00024
   Sun KY, 2021, ENERG BUILDINGS, V252, DOI 10.1016/j.enbuild.2021.111383
   Sun KY, 2020, BUILD ENVIRON, V177, DOI 10.1016/j.buildenv.2020.106842
   Tsoka S, 2018, SUSTAIN CITIES SOC, V43, P55, DOI 10.1016/j.scs.2018.08.009
   Tuholske C, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2024792118
   Vuckovic M, 2020, BUILD SIMUL-CHINA, V13, P99, DOI 10.1007/s12273-019-0564-y
   Wagle S, 2024, ARCHIT ENG DES MANAG, V20, P997, DOI 10.1080/17452007.2023.2270679
   Watkins LE, 2021, APPL GEOGR, V131, DOI 10.1016/j.apgeog.2021.102430
   White Lisa., 2019, Thermal Performance of the Exterior Envelopes of Whole Buildings, P123
   Witze A, 2022, NATURE, V608, P464, DOI 10.1038/d41586-022-02114-y
   Yamasaki L, 2024, ENVIRON EPIDEMIOL, V8, DOI 10.1097/EE9.0000000000000292
   Yang SW, 2023, BUILD ENVIRON, V283, DOI 10.1016/j.buildenv.2023.110334
   Zheng DY, 2024, J CLEAN PROD, V474, DOI 10.1016/j.jclepro.2024.143605
   Zinzi M, 2018, APPL ENERG, V221, P148, DOI 10.1016/j.apenergy.2018.03.192
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 89
TC 0
Z9 0
U1 20
U2 20
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 MAY 15
PY 2025
VL 276
AR 112747
DI 10.1016/j.buildenv.2025.112747
PG 21
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 0LO8N
UT WOS:001450269500001
DA 2025-04-22
ER

PT J
AU Flax, L
   Altes, RK
   Kupers, R
   Mons, B
AF Flax, Leah
   Altes, Renet Korthals
   Kupers, Roland
   Mons, Brett
TI Greening schoolyards - An urban resilience perspective
SO CITIES
LA English
DT Article
DE Resilience; Schoolyards; Greening
ID FRAMEWORK; COMMUNITY; CHILD; PLAY
C1 [Flax, Leah] New York City Transit, New York, NY USA.
   [Altes, Renet Korthals] MakeSpace4Play Com, Amsterdam, Netherlands.
   [Kupers, Roland] Univ Amsterdam, Inst Adv Study, Amsterdam, Netherlands.
   [Mons, Brett] Rockefeller Fdn, New York, NY USA.
C3 University of Amsterdam
RP Kupers, R (corresponding author), Univ Amsterdam, Inst Adv Study, Amsterdam, Netherlands.
CR American Planning Association, 2011, POL GUID PLANN CLIM, P95
   American Planning Association (APA), SCENARIO PLANNING
   Amsterdam Rainproof, MAATR TOOLB AMST RAI
   [Anonymous], 2016, FRONT SYST NEUROSCI, DOI DOI 10.13140/RG.2.2.10084.78729
   APA, PLANN RES
   Barros RM, 2009, PEDIATRICS, V123, P431, DOI 10.1542/peds.2007-2825
   Blair D, 2009, J ENVIRON EDUC, V40, P15, DOI 10.3200/JOEE.40.2.15-38
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Center for Disaster Resilience, 2018, GROW THREAT URB FLOO, P44
   Children & Nature Network, 2016, BUILD NAT MOV GREEN
   Coley RL, 1997, ENVIRON BEHAV, V29, P468, DOI 10.1177/001391659702900402
   Danks S.G., 2014, GREEN SCHOOLYARD MOV
   Danks S.Gamson., 2010, Asphalt to ecosystems: Design ideas for schoolyard transformation
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   EPA, 2013, 841R13004 EPA, P142
   Fjortoft I., 2001, EARLY CHILD EDUC J, V29, P111, DOI [10.1023/A:1012576913074, DOI 10.1023/A:1012576913074]
   Ginsburg KR, 2007, PEDIATRICS, V119, P182, DOI 10.1542/peds.2006-2697
   HARTIG T, 1991, ENVIRON BEHAV, V23, P3, DOI 10.1177/0013916591231001
   Janhäll S, 2015, ATMOS ENVIRON, V105, P130, DOI 10.1016/j.atmosenv.2015.01.052
   Kuo FE, 1998, AM J COMMUN PSYCHOL, V26, P823, DOI 10.1023/A:1022294028903
   Kupers R, 2014, TURBULENCE: A CORPORATE PERSPECTIVE ON COLLABORATING FOR RESILIENCE, P1
   Litschke T., 2008, REDUCTION URBAN PART
   Mairie de Paris, 2018, STRAT RES PAR
   Mairie de Paris, 2015, AD STRAT
   Merck M., 2017, CHICAGO SCH PARTNER
   Ostrom E, 2010, AM ECON REV, V100, P641, DOI 10.1257/aer.100.3.641
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Shishegar N., 2014, IMPACTS GREEN AREAS, V9
   Taylor AF, 2001, ENVIRON BEHAV, V33, P54, DOI 10.1177/00139160121972864
   Tranter P.J., 2004, CHILD GEOGR, V2, P131, DOI DOI 10.1080/1473328032000168813
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Van Marissing E, 2006, CITIES, V23, P279, DOI 10.1016/j.cities.2005.11.001
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Walker G, 2013, HIST WORKSHOP J, P5, DOI 10.1093/hwj/dbs051
   Weber Anna., 2019, What is urban flooding?
   Wilkinson AngelaRoland Kupers., 2014, The Essence of Scenarios: Learning from the Shell Experience
   Wolch J, 2011, HEALTH PLACE, V17, P207, DOI 10.1016/j.healthplace.2010.10.001
   Wolfram M, 2016, CITIES, V51, P121, DOI 10.1016/j.cities.2015.11.011
NR 38
TC 14
Z9 17
U1 9
U2 38
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 NOV
PY 2020
VL 106
AR 102890
DI 10.1016/j.cities.2020.102890
PG 8
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA NY8MJ
UT WOS:000576636800003
OA hybrid
DA 2025-04-22
ER

PT J
AU Jiang, Y
   Sui, GJ
   Wang, H
AF Jiang, Ying
   Sui, Guangjun
   Wang, Hao
TI Digital infrastructure and urban economic resilience: evidence from the
   "Broadband China" pilot policy
SO APPLIED ECONOMICS LETTERS
LA English
DT Article; Early Access
DE Digital infrastructure development; urban economic resilience;
   skill-biased technological progress; "Broadband China" pilot policy
AB This paper investigates the impact of digital infrastructure development on urban economic resilience with a quasi-natural experimental approach. Based on prefecture level dataset pertaining to 281 cities from 2011 to 2019, we find that the implementation of 'Broadband China' pilot policy has had a positive and significant impact on economic resilience and such an effect is more pronounced in coastal regions than other regions. Further, we show that the transition of labour skill is the underlying mechanism to explain the favourable effect of digital infrastructure on economic resilience.
C1 [Jiang, Ying] Guangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou, Peoples R China.
   [Sui, Guangjun; Wang, Hao] Guangdong Univ Foreign Studies, Guangdong Inst Int Strategies, Guangzhou 510420, Peoples R China.
   [Wang, Hao] Univ London, Sch Slavon & East European Studies, London, England.
C3 Guangdong University of Foreign Studies; Guangdong University of Foreign
   Studies; University of London
RP Wang, H (corresponding author), Guangdong Univ Foreign Studies, Guangdong Inst Int Strategies, Guangzhou 510420, Peoples R China.; Wang, H (corresponding author), Univ London, Sch Slavon & East European Studies, London, England.
EM hao-wang@ucl.ac.uk
FU Major Project of National Social Science Foundation of China [21ZDA097];
   National Natural Science Foundation of China [72203050]
FX This paper is funded by the Major Project of National Social Science
   Foundation of China [No. 21ZDA097] and National Natural Science
   Foundation of China [No. 72203050].
CR Acemoglu D., 2005, Handbook of Economic Growth 1A, V7, P385
   Acemoglu D, 2018, AM ECON REV, V108, P1488, DOI 10.1257/aer.20160696
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Du YA, 2023, INT REV FINANC ANAL, V88, DOI 10.1016/j.irfa.2023.102709
   Freund CL, 2004, J INT ECON, V62, P171, DOI 10.1016/S0022-1996(03)00059-X
   Gnangnon SK, 2018, TELECOMMUN POLICY, V42, P61, DOI 10.1016/j.telpol.2017.08.004
   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
   Petach L, 2021, J BANK FINANC, V126, DOI 10.1016/j.jbankfin.2021.106077
   Tóth G, 2022, ECON GEOGR, V98, P355, DOI 10.1080/00130095.2022.2035715
   Zhao H, 2023, CITIES, V142, DOI 10.1016/j.cities.2023.104552
NR 11
TC 1
Z9 1
U1 45
U2 74
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1350-4851
EI 1466-4291
J9 APPL ECON LETT
JI Appl. Econ. Lett.
PD 2024 APR 7
PY 2024
DI 10.1080/13504851.2024.2339372
EA APR 2024
PG 7
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA NG7Q5
UT WOS:001199368500001
DA 2025-04-22
ER

PT J
AU Ding, H
   Li, JW
AF Ding, Hui
   Li, Jiawen
TI The impact of smart city pilots on ecological resilience: a perspective
   of five major urban agglomerations in eastern China
SO ENVIRONMENTAL RESEARCH COMMUNICATIONS
LA English
DT Article
DE smart city; ecological stability; infrastructure; sustainable
   development
ID INFRASTRUCTURE; SYSTEMS
AB It is crucial to explore whether and how smart city pilots impact ecological resilience in the context of China's high priority on ecological civilization and green development. In this study, we adopted the panel data of 58 cities in five major urban agglomerations in eastern China from 2005 to 2021 and used the time-varying difference-in-differences (DID) model and spatial DID model to empirically analyze the impact of smart city pilots on ecological resilience, their heterogeneity, and the spatial spillover effects. The main results are as follows: smart city pilots can substantially enhance urban ecological resilience, this conclusion still holds significantly after a series of robustness tests such as the parallel trend test, and the propensity score matching method. Heterogeneity analysis shows that the effect of smart city pilots on ecological resilience is affected by infrastructure development and abundant resources. Compared with regional urban agglomerations and nonresource-based cities, the policy effects of national urban agglomerations and resource-based cities are relatively strong. However, smart city pilots have a negative spillover effect on ecological resilience of neighboring regions. The results of this study indicate the policy implications for the construction of smart cities and the enhancement of urban ecological resilience.
C1 [Ding, Hui] Guangzhou City Univ Technol, Sch Econ, Guangzhou, Peoples R China.
   [Li, Jiawen] Guangzhou City Univ Technol, Sch Econ, Res Base Carbon Neutral Finance Guangdong Hong Kon, Guangzhou, Peoples R China.
RP Ding, H (corresponding author), Guangzhou City Univ Technol, Sch Econ, Guangzhou, Peoples R China.
EM vivi.08@163.com
CR Ahad MA, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102301
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Auty R., 1993, Sustaining Development in Mineral Economies: The resource Curse Thesis, DOI DOI 10.4324/9780203422595
   Baho DL, 2017, ECOL SOC, V22, DOI 10.5751/ES-09427-220317
   Bai J., 2022, China Industrial Economics, V6, P61, DOI 10.19581/j.cnki.ciejournal.2022.06.016
   Cao Q, 2020, China Industrial Economics, V7, P43, DOI DOI 10.19581/J.CNKI.CIEJOURNAL.2020.07.014
   Cerulli G, 2019, STATA J, V19, P551, DOI 10.1177/1536867X19874224
   Chagas ALS, 2016, REG SCI URBAN ECON, V59, P24, DOI 10.1016/j.regsciurbeco.2016.04.002
   Chen Y, 2017, TRANSPORT RES D-TR E, V54, P381, DOI 10.1016/j.trd.2017.06.008
   Chen YF, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107328
   Cheng ZH, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134780
   Dakos V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5767
   Dubé J, 2014, TRANSPORT RES B-METH, V64, P24, DOI 10.1016/j.trb.2014.02.007
   Duygan M, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103578
   [方创琳 Fang Chuanglin], 2005, [地理学报, Acta Geographica Sinica], V60, P827
   Fischer JM, 2011, J URBAN PLAN DEV, V137, P39, DOI 10.1061/(ASCE)UP.1943-5444.0000039
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-09088-210444
   Gao D, 2024, J ENVIRON PLANN MAN, V67, P3190, DOI 10.1080/09640568.2023.2218988
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Han Y, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15097034
   Heitlinger S, 2019, CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3290605.3300517
   Huang KH, 2021, SMART CITIES-BASEL, V4, P1403, DOI 10.3390/smartcities4040074
   Javidroozi V., 2014, P 3 INT C SMART SYST
   Kamyab H, 2020, ENERGY, V207, DOI 10.1016/j.energy.2020.118104
   Kolak M, 2020, INT REGIONAL SCI REV, V43, P128, DOI 10.1177/0160017619869781
   Kumar TMV, 2017, ADV 21ST CENT HUMAN, P1, DOI 10.1007/978-981-10-1610-3
   Li VOK, 2021, ENVIRON SCI POLICY, V124, P441, DOI 10.1016/j.envsci.2021.06.011
   Lin BQ, 2022, APPL ENERG, V307, DOI 10.1016/j.apenergy.2021.118160
   Liu XM, 2023, ENVIRON SCI POLLUT R, V30, P57882, DOI 10.1007/s11356-023-26579-0
   Liu Y, 2013, ENERG POLICY, V61, P544, DOI 10.1016/j.enpol.2013.05.121
   Lu F, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-67628-z
   Meyer K, 2016, NAT RESOUR MODEL, V29, P339, DOI 10.1111/nrm.12097
   Nazarnia H, 2020, SAFETY SCI, V121, P573, DOI 10.1016/j.ssci.2019.02.014
   Nitoslawski SA, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101770
   Paroutis S, 2014, TECHNOL FORECAST SOC, V89, P262, DOI 10.1016/j.techfore.2013.08.041
   Peng X., 2023, China Proceedings of the International Scientific Conference Hradec Economic Days, V8, P503
   Qian Y, 2021, ENVIRON SCI POLLUT R, V28, P66709, DOI 10.1007/s11356-021-15120-w
   Qin M., 2019, China Economics Quarterly, V18, P527, DOI DOI 10.13821/J.CNKI.CEQ.2019.01.06
   Rana NP, 2019, INFORM SYST FRONT, V21, P503, DOI 10.1007/s10796-018-9873-4
   Sangwon Lee, 2015, [International Telecommunications Policy Review, 정보통신정책연구], V22, P93
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Song MJ, 2023, LAND-BASEL, V12, DOI 10.3390/land12071381
   Sovacool BK, 2010, ENERG POLICY, V38, P4856, DOI 10.1016/j.enpol.2009.10.001
   Suárez M, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112293
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Sun MB, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127334
   Walker B., 2004, Ecology and Society, V9, P5
   Wang WX, 2022, RESOUR CONSERV RECY, V185, DOI 10.1016/j.resconrec.2022.106376
   Wolff H, 2014, ECON J, V124, pF481, DOI 10.1111/ecoj.12091
   Xia XN, 2023, LAND-BASEL, V12, DOI 10.3390/land12071292
   Xu NN, 2022, J ASIAN PUBLIC POLIC, V15, P1, DOI 10.1080/17516234.2020.1742411
   [杨航 Yang Hang], 2023, [干旱区研究, Arid Zone Research], V40, P303
   Yang X, 2023, ENVIRON SCI POLLUT R, V30, P73254, DOI 10.1007/s11356-023-27499-9
   Yao TT, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2019.102008
   Yu YT, 2019, J CLEAN PROD, V229, P501, DOI 10.1016/j.jclepro.2019.04.316
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
   Zhou J., 2022, Industrial Economics Research, V5, P115, DOI DOI 10.13269/J.CNKI.IER.2022.05.007
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
NR 58
TC 0
Z9 0
U1 11
U2 11
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 FEB 1
PY 2025
VL 7
IS 2
AR 025014
DI 10.1088/2515-7620/adb3f9
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA X3V8W
UT WOS:001424676900001
OA gold
DA 2025-04-22
ER

PT J
AU Luo, W
   Huang, ZH
   Cheng, SY
   Gan, ZQ
AF Luo, Wei
   Huang, Zhihua
   Cheng, Suiying
   Gan, Zhuoqun
TI Oriental management strategies for urban resilience: Based on the
   Wuli-Shili-Renli methodology and coupled coordination degree model
SO HELIYON
LA English
DT Article
DE Urban resilience; Coupled coordination degree model; The
   Wuli-Shili-Renli methodology; Complex system
ID WSR; SYSTEM; DESIGN
AB Extreme weather is frequent and aggressive, posing a huge challenge to urban management ca-pacity. The construction of urban resilience is a systematic project of multi-system coordination. Previous studies have focused on temporal evolution, external system coupling and coordination, and less on the internal study of urban resilience systems. Based on the perspective of the Wuli-Shili-Renli methodology, the study combines urban resilience with Eastern management philos-ophy. Using a coupled coordination model, the evolutionary laws of key elements of multiple processes in the complex urban resilience system of Henan Province are studied. The coupled coordination mechanism of multiple elements and processes in the province is revealed. It is found that (1) the development of the urban resilient system in Henan Province has gone through two stages from fluctuation to stability. From 2010 to 2015 called "fluctuating growth" and from 2016 to 2019 called "linear growth". (2) There are three different periods of development for the coordination of the urban resilient system in Henan. Stage 1 (2010-2015) the "coupling teething period", stage 2 (2016-2017) the "decoupling accumulation period" and stage 3 (2018-2019) the "self-organized explosive period". (3) Henan has strong preventive power, but weak resistance and recovery power. Then, from the perspective of WSR, the optimal regulation of the regional urban resilient system is proposed.
C1 [Luo, Wei; Huang, Zhihua] Henan Univ, Business Sch, Kaifeng 475000, Henan, Peoples R China.
   [Cheng, Suiying] Henan Univ, Cultural Ind & Tourism Management Sch, Kaifeng 475000, Henan, Peoples R China.
   [Gan, Zhuoqun] Henan Univ, Math & Stat Sch, Kaifeng 475000, Henan, Peoples R China.
C3 Henan University; Henan University; Henan University
RP Huang, ZH (corresponding author), Henan Univ, Business Sch, Kaifeng 475000, Henan, Peoples R China.
EM Zhihua.huang@henu.edu.cn
RI Huang, Zhihua/IAP-8249-2023
FU Chinese National Funding of Social Sciences [21ZDA081]; Henan Office of
   Philosophy and Social Science [2022BJJ033]; Henan Province key R & D and
   promotion special project (soft science) [222400410635, 222400410140];
   Henan Province education science "14th Five-year plan" 2021 general
   project [2021YB0034]
FX This research was supported by the Chinese National Funding of Social
   Sciences [grant number 21ZDA081] ; Henan Office of Philosophy and Social
   Science [grant number 2022BJJ033] ; Henan Province key R & D and
   promotion special project (soft science) [grant number 222400410140] ;
   Henan Province key R & D and promotion special project (soft science)
   [grant number 222400410635] ; Henan Province education science "14th
   Five-year plan" 2021 general project [grant number 2021YB0034] .
CR Brugha CW, 2001, SYST PRACT ACT RES, V14, P339, DOI 10.1023/A:1011311432199
   Chen J, 2021, SCI IRAN, V28, P38, DOI 10.24200/sci.2018.50561.1763
   Chen Y., 2019, DIMENSIONS MEASUREME, DOI [10.1145/3326365.3326401, DOI 10.1145/3326365.3326401]
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Fu X, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125146
   Gao YP, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244024
   Geng YQ, 2021, J CLEAN PROD, V287, DOI 10.1016/j.jclepro.2020.125486
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gu JF, 2000, SYST PRACT ACT RES, V13, P11, DOI 10.1023/A:1009567421256
   Gu JF, 2013, J SYST SCI SYST ENG, V22, P340, DOI 10.1007/s11518-013-5223-8
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Javadpoor M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102609
   Ji BY, 2018, KYBERNETES, V47, P1549, DOI 10.1108/K-07-2017-0265
   Li G, 2021, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.631911
   Li G, 2017, EURASIA J MATH SCI T, V13, P8039, DOI 10.12973/ejmste/78099
   Li Y, 2018, J CLEAN PROD, V195, P1505, DOI 10.1016/j.jclepro.2017.10.227
   Lin XY, 2009, KYBERNETES, V38, P346, DOI 10.1108/03684920910944038
   Ling TY, 2018, J CLEAN PROD, V182, P187, DOI 10.1016/j.jclepro.2017.12.207
   Liu L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212460
   Luo M, 2021, J INTELL FUZZY SYST, V41, P917, DOI 10.3233/JIFS-202805
   Luo W., 2022, Yellow River, V44, P8
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Midgley G, 2000, SYST PRACT ACT RES, V13, P71, DOI 10.1023/A:1009523606235
   Mou Y, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125719
   Nafishoh Q, 2017, AIP CONF PROC, V1857, DOI 10.1063/1.4987116
   Omrani H, 2018, J CLEAN PROD, V203, P210, DOI 10.1016/j.jclepro.2018.08.238
   Ren B., 2020, J HUMANIT, P1, DOI [10.15895/j.cnki.rwzz.20191129.001, DOI 10.15895/J.CNKI.RWZZ.20191129.001]
   Scherzer S, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101107
   Singh-Peterson L, 2014, INT J DISAST RISK RE, V10, P116, DOI 10.1016/j.ijdrr.2014.07.004
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Sung CH, 2020, WATER-SUI, V12, DOI 10.3390/w12051401
   Wan P, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14084430
   Wang Q, 2019, J CLEAN PROD, V226, P336, DOI 10.1016/j.jclepro.2019.03.346
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   [魏卫 Wei Wei], 2021, [经济地理, Economic Geography], V41, P30
   Wu YC, 2019, P NATL ACAD SCI USA, V116, P17673, DOI 10.1073/pnas.1820007116
   [杨秀平 Yang Xiuping], 2021, [地理与地理信息科学, Geography and Geo-information Science], V37, P78
   [杨永春 Yang Yongchun], 2020, [资源科学, Resources Science], V42, P409
   Ye MW, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031864
   [赵瑞东 Zhao Ruidong], 2020, [地理科学进展, Progress in Geography], V39, P1717
   Zhu ZC, 2000, SYST RES BEHAV SCI, V17, P183, DOI 10.1002/(SICI)1099-1743(200003/04)17:2<183::AID-SRES293>3.0.CO;2-B
   Zhu ZC, 2000, SYST PRACT ACT RES, V13, P21, DOI 10.1023/A:1009519505326
   Zuo YF, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10070428
NR 43
TC 0
Z9 0
U1 7
U2 36
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD MAY
PY 2023
VL 9
IS 5
AR e16279
DI 10.1016/j.heliyon.2023.e16279
EA MAY 2023
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA I4IC8
UT WOS:001002423400001
PM 37251891
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Lu, JH
   Liu, JH
   Su, X
AF Lu, Jiahui
   Liu, Jiahong
   Su, Xin
TI A resilience evaluation method considering functional and structural
   resilience of urban drainage systems
SO URBAN WATER JOURNAL
LA English
DT Article
DE Urban drainage system; resilience; strucutral failure; functional
   failure; sustainable cities and communities
ID WATER MANAGEMENT; RISK; FRAMEWORK; INDEX; SAFE
AB Resilience evaluation of urban drainage systems offers a deeper insight into the drainage systems' capability to enhance resilience and mitigate flood damages. Current research predominantly examines hydraulic or functional failures resulting from external loads like excessive rainfall, while giving less attention to structural failures caused by internal loads. A resilience evaluation method for the drainage system considering functional failure and structural failure is proposed. First, scenarios for structural and functional failures are generated considering factors such as pipe age, flow velocity, and excessive rainfall. Second, three aspects of social, technical, and economic indicators are proposed to establish resilience evaluation metric. Third, the cloud model is utilized to comprehensively evaluate the resilience of urban drainage systems. Finally, a case study in Dongying City, Shandong Province, China, is carried out, and the results show that the total flood volume under the 50-a rainfall event considering structural failure is 70% higher than that without structural failure.
C1 [Lu, Jiahui] China Fire & Rescue Inst, Beijing, Peoples R China.
   [Liu, Jiahong] Minist Water Resources, Key Lab River Basin Digital Twinning, Beijing, Peoples R China.
   [Liu, Jiahong] Minist Water Resources, Engn & Technol Res Ctr Water Resources & Hydroecol, Beijing, Peoples R China.
   [Su, Xin] Nanjing Hydraul Res Inst, Natl Key Lab Water Disaster Prevent, Nanjing, Peoples R China.
C3 China Fire & Rescue Institute; Nanjing Hydraulic Research Institute
RP Liu, JH (corresponding author), Minist Water Resources, Key Lab River Basin Digital Twinning, Beijing, Peoples R China.; Liu, JH (corresponding author), Minist Water Resources, Engn & Technol Res Ctr Water Resources & Hydroecol, Beijing, Peoples R China.
EM liujh@iwhr.com
FU Chinese National Key Research and Development Program [2023YFC3006504,
   2022YFC3090600]; Key Laboratory of River Basin Digital Twinning of
   Ministry of Water Resources [Z0202042022]
FX The work was supported by the Chinese National Key Research and
   Development Program [2023YFC3006504 and 2022YFC3090600]; Key Laboratory
   of River Basin Digital Twinning of Ministry of Water Resources
   [Z0202042022].
CR Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Birgani YT, 2018, WATER RESOUR MANAG, V32, P2817, DOI 10.1007/s11269-018-1960-2
   Birgani YT, 2016, P I CIVIL ENG-WAT M, V169, P3, DOI 10.1680/wama.14.00043
   Blanco-Londoño Sergio Andrés, 2017, Dyna rev.fac.nac.minas, V84, P126
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D., 2018, Urban Drainage
   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
   Cheng L., 2024, J HENAN POLYTECHNIC, V43, P10
   Di B., 2017, WATER SUPPLY DRAINAG
   Feng Q, 2024, RELIAB ENG SYST SAFE, V245, DOI 10.1016/j.ress.2024.110038
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   [郭羽羽 Guo Yuyu], 2021, [灾害学, Journal of Catastrophology], V36, P168
   Ha-Mim NM, 2024, INT J DISAST RISK RE, V101, DOI 10.1016/j.ijdrr.2024.104256
   Haghbin S, 2023, J ENVIRON MANAGE, V339, DOI 10.1016/j.jenvman.2023.117799
   Hawari A, 2017, J PERFORM CONSTR FAC, V31, DOI 10.1061/(ASCE)CF.1943-5509.0000914
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Houston D., 2011, HUNG QUART
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Kwon SH, 2021, J WATER RES PLAN MAN, V147, DOI 10.1061/(ASCE)WR.1943-5452.0001350
   Lee EE, 2007, IEEE T SYST MAN CY C, V37, P1303, DOI 10.1109/TSMCC.2007.905859
   Lee EH, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000775, 10.1061/(asce)wr.1943-5452.0000775]
   Lee J, 2018, WATER-SUI, V10, DOI 10.3390/w10101444
   Li P., 2021, OPTIMIZATION DESIGN
   Liu J., 2020, J I DISASTER PREV, V22, P9
   Lu JH, 2022, INT J DISAST RISK SC, V13, P793, DOI 10.1007/s13753-022-00445-y
   Ludwig D, 1996, ECOL ECON, V19, P185, DOI 10.1016/0921-8009(96)84161-9
   Maksimovic C, 2009, J HYDRAUL RES, V47, P512, DOI 10.1080/00221686.2009.9522027
   McClymont K, 2020, J ENVIRON MANAGE, V275, DOI 10.1016/j.jenvman.2020.111173
   Miller-Hooks E, 2012, COMPUT OPER RES, V39, P1633, DOI 10.1016/j.cor.2011.09.017
   Mugume N. S., 2014, IWA WORLD WATER CONG, P72
   Mugume SN, 2024, WATER SCI TECHNOL, V89, P915, DOI 10.2166/wst.2024.032
   Mugume SN, 2017, URBAN WATER J, V14, P727, DOI 10.1080/1573062X.2016.1253754
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nicolosi V, 2022, INT J DISAST RISK SC, V13, P114, DOI 10.1007/s13753-022-00395-5
   Osheen, 2023, URBAN WATER J, V20, P1794, DOI 10.1080/1573062X.2022.2044495
   Panos CL, 2021, J HYDROL, V596, DOI 10.1016/j.jhydrol.2021.126101
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Pei JJ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16203802
   Salman B, 2012, J INFRASTRUCT SYST, V18, P146, DOI 10.1061/(ASCE)IS.1943-555X.0000075
   Sweetapple C, 2018, WATER SCI TECHNOL, V77, P1757, DOI 10.2166/wst.2018.070
   Taleb N.N., 2012, MATH DEFINITION MAPP
   [唐彦东 Tang Yandong], 2024, [灾害学, Journal of Catastrophology], V39, P138
   Ten Veldhuis J. A. E., 2010, QUANTITATIVE RISK AN
   Tran HT, 2017, RELIAB ENG SYST SAFE, V158, P73, DOI 10.1016/j.ress.2016.10.014
   Wang MM, 2021, J ENVIRON MANAGE, V288, DOI 10.1016/j.jenvman.2021.112472
   Wang M, 2022, SCI TOTAL ENVIRON, V834, DOI 10.1016/j.scitotenv.2022.155267
   Yan R, 2023, J ENVIRON MANAGE, V347, DOI 10.1016/j.jenvman.2023.119026
   Yang SS, 2024, ENGINEERING-PRC, V36, P63, DOI 10.1016/j.eng.2022.02.011
   Yang YF, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101886
   Yazdi J, 2018, WATER RESOUR MANAG, V32, P4561, DOI 10.1007/s11269-018-2069-3
   Yazdi J, 2018, WATER RESOUR MANAG, V32, P721, DOI 10.1007/s11269-017-1835-y
   Ye C., 2023, COUPLED EFFECTS FUTU, V153, P110402
   Yu XP, 2023, WATER RES, V241, DOI 10.1016/j.watres.2023.120148
   Yuan Y, 2024, J CLEAN PROD, V451, DOI 10.1016/j.jclepro.2024.141781
   Zhang C, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030397
   Zhang DZ, 2021, WATER RES, V188, DOI 10.1016/j.watres.2020.116475
   [张振 Zhang Zhen], 2023, [灾害学, Journal of Catastrophology], V38, P213
   Zhang Z, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071872
   Zhou R., 2006, OPTIMIZATION CAPITAL, V27, P44
NR 61
TC 0
Z9 0
U1 6
U2 6
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 APR 21
PY 2025
VL 22
IS 4
BP 372
EP 384
DI 10.1080/1573062X.2025.2472327
EA MAR 2025
PG 13
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 0JP9T
UT WOS:001440933100001
DA 2025-04-22
ER

PT B
AU Aerts, JCJH
   Botzen, WJW
AF Aerts, Jeroen C. J. H.
   Botzen, W. J. Wouter
TI Flood-Resilient Waterfront Development in New York City: Bridging Flood
   Insurance, Building Codes, and Flood Zoning
SO FLOOD-RESILIENT WATERFRONT DEVELOPMENT IN NEW YORK CITY: BRIDGING FLOOD
   INSURANCE, BUILDING CODES, AND FLOOD ZONING
SE Annals of the New York Academy of Sciences-Series
LA English
DT Article; Book
DE waterfront; flood; New York City; building codes; flood zoning;
   insurance; NFIP
ID PRIVATE HOUSEHOLDS; CLIMATE-CHANGE; LOSSES; RISK; ADAPTATION; IMPACTS;
   DAMAGE
C1 [Aerts, Jeroen C. J. H.; Botzen, W. J. Wouter] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands.
C3 Vrije Universiteit Amsterdam
RP Aerts, JCJH (corresponding author), Vrije Univ Amsterdam, Inst Environm Studies IVM, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands.
EM jeroen.aerts@ivm.vu.nl
RI Aerts, Jeroen/M-8431-2013; Botzen, Wouter/L-3123-2013
OI Botzen, Wouter/0000-0002-8563-4963
CR Aerts JCJH, 2008, ECOL SOC, V13
   Angotti T., 2001, PLAN PRAC RES, V16, P145, DOI [10.1080/02697450120077352, DOI 10.1080/02697450120077352, 10.1080/0269745012007735, DOI 10.1080/0269745012007735]
   [Anonymous], CLIM RISK INF
   [Anonymous], I DECISION MAKING CH
   [Anonymous], PAPERS CITY PLANNING
   [Anonymous], FLOODPL CONSTR REQ N
   [Anonymous], FLOODS PHYS PROCESS
   [Anonymous], OIG0945 US DEP HOM S
   [Anonymous], MOMA EXH RIS CURR PR
   [Anonymous], CONNECTING DELTA CIT
   [Anonymous], AUG 8 2007 STORM REP
   [Anonymous], APPL TRANSFER DEV RI
   [Anonymous], GREEN MASS TRANS MET
   [Anonymous], EVALUATION COMPLIA B
   [Anonymous], THESIS U TWENTE NETH
   [Anonymous], NAT HAZ MIT SAV IND
   [Anonymous], PACE ENV LAW REV
   [Anonymous], TRANSFER DEV RIGHTS
   [Anonymous], 2000, Risk increase to infrastructure due to sea level rise
   [Anonymous], PLAN PREV RISQ IN DE
   [Anonymous], MIT GRANT PROGR BUIL
   [Anonymous], 200911 U PENNS WHART
   [Anonymous], ZON RES CIT NEW YORK
   [Anonymous], MULT MAN SER
   [Anonymous], 2405 ASCESEI
   [Anonymous], RES COV POL RAT
   [Anonymous], TRANSP STUD 1995 INT
   [Anonymous], NYC ZON GLOSS
   [Anonymous], STIMULATING FL UNPUB
   [Anonymous], WET 25 MEI 1998 HOUD
   [Anonymous], HAZ MIT ASS UN GUID
   [Anonymous], COMM RAT SYST
   [Anonymous], ECOLOGY SOC
   [Anonymous], FORDHAM URBAN LAW J
   [Anonymous], CARTE INONDATON PARI
   [Anonymous], APP G FLOOD RES CONS
   [Anonymous], NEDERLAND LATER WATE
   [Anonymous], ASSESSING NATL FLOOD
   [Anonymous], HOCHWASSERRUCKHALTEA
   [Anonymous], NEW YORK CIT COMPR W
   [Anonymous], RR09002 IIASA
   [Anonymous], CLIMATE CHANGE GLOBA
   [Anonymous], NAT PROGR REV 2000
   [Anonymous], THESIS DELFT U NETHE
   [Anonymous], 2009, HUDS RAR EST COMPR R
   [Anonymous], 2008, GAO0912
   [Anonymous], LOND REG SUST DEV IN
   [Anonymous], NATL FLOOD INSURANCE
   [Anonymous], INS OTH PROGR FIN AS
   [Anonymous], ASSESSING COSTS ADAP
   [Anonymous], 2006, FEMAS FLOOD HAZARD M
   [Anonymous], ZON REG POL
   [Anonymous], CLIMAID INT ASS EFF
   [Anonymous], 12010 SWISS REINS CO
   Bain M., 2007, Target Ecosystem Characteristics for the Hudson Raritan Estuary: Technical Guidance for Developing a Comprehensive Ecosystem Restoration Plan
   Botzen WJW, 2008, RISK ANAL, V28, P413, DOI 10.1111/j.1539-6924.2008.01035.x
   Botzen WJW, 2009, ENVIRON HAZARDS-UK, V8, P209, DOI 10.3763/ehaz.2009.0023
   Botzen WJW, 2009, ECOL ECON, V68, P2265, DOI 10.1016/j.ecolecon.2009.02.019
   Bouwer LM, 2010, GLOBAL ENVIRON CHANG, V20, P463, DOI 10.1016/j.gloenvcha.2010.04.002
   Browne MJ, 2000, J RISK UNCERTAINTY, V20, P291, DOI 10.1023/A:1007823631497
   Büchele B, 2006, NAT HAZARD EARTH SYS, V6, P485
   Burby R. J., 2001, Environmental Hazards, V3, P111
   Burby R.J., 1985, FLOOD PLAIN LAND USE
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Crichton D, 2008, GENEVA PAP R I-ISS P, V33, P117, DOI 10.1057/palgrave.gpp.2510151
   de Moel H, 2011, NAT HAZARDS, V58, P407, DOI 10.1007/s11069-010-9675-6
   de Moel H, 2009, NAT HAZARD EARTH SYS, V9, P289, DOI 10.5194/nhess-9-289-2009
   Dixon Lloyd, 2006, RAND Corporation, prepared as part of the Evaluation of the National Flood Insurance Program, P23, DOI DOI 10.7249/TR300
   Galloway G.E., 2006, ASSESSING ADEQUACY N
   Gornitz V, 2001, GLOBAL PLANET CHANGE, V32, P61, DOI 10.1016/S0921-8181(01)00150-3
   Grossi P, 2005, HUEBNER INT SER RISK, V25, P1, DOI 10.1007/b100669
   Hallegatte S, 2008, RISK ANAL, V28, P779, DOI 10.1111/j.1539-6924.2008.01046.x
   Hill K., 2009, THEWATER ENV CITIES, P1
   Horton R, 2010, ANN NY ACAD SCI, V1196, P41, DOI 10.1111/j.1749-6632.2009.05314.x
   Jones C, 2006, ENGLISH PRONUNCIATION IN THE EIGHTEENTH AND NINETEENTH CENTURIES, P1, DOI 10.1057/9780230503403
   King RawleO., 2005, FEDERAL FLOOD INSURA
   Kreibich H, 2005, NAT HAZARD EARTH SYS, V5, P117, DOI 10.5194/nhess-5-117-2005
   Kriesel W, 2004, J RISK INSUR, V71, P405, DOI 10.1111/j.0022-4367.2004.00096.x
   Kunreuther H, 1996, J RISK UNCERTAINTY, V12, P171, DOI 10.1007/BF00055792
   Kunreuther HC, 2009, AT WAR WITH THE WEATHER: MANAGING LARGE-SCALE RISKS IN A NEW ERA OF CATASTROPHES, P1
   Kunreuther H, 2008, SOC RES, V75, P905
   Kunreuther Howard., 1998, Paying the Price the Status and Role of Insurance against Natural Disasters in the United States
   LeBlanc A, 2010, ANN NY ACAD SCI, V1196, P113, DOI 10.1111/j.1749-6632.2009.05320.x
   Lekuthai A, 2001, WATER RESOUR MANAG, V15, P343, DOI 10.1023/A:1014489329348
   Maantay J, 2009, APPL GEOGR, V29, P111, DOI 10.1016/j.apgeog.2008.08.002
   Merz B, 2004, NAT HAZARD EARTH SYS, V4, P153, DOI 10.5194/nhess-4-153-2004
   Michel-Kerjan EO, 2010, J RISK INSUR, V77, P369, DOI 10.1111/j.1539-6975.2009.01349.x
   New York City, 2011, Parks A Plan for Sustainable Practices Within NYC
   NICHOLLS R., 2003, CASE STUDY SEA LEVEL
   Nicholls R. J., 2008, RANKING PORT CITIES, V1
   Nordenson G., 2010, On the Water: Palisade Bay
   Pasterick E.T., 1998, PAYING PRICE STATUS
   Penning-Rowsell E.C., 2003, The Benefits of Flood and Coastal Defence: Techniques and Data for 2003
   Pielke R A., 2008, Nat. Hazards Rev, V9, P29, DOI [10.1061/(ASCE)1527-6988(2008)9:1(29), DOI 10.1061/(ASCE)1527-6988(2008)9:1(29)]
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Rosenzweig C, 2010, ANN NY ACAD SCI, V1196, P19, DOI 10.1111/j.1749-6632.2009.05308.x
   Sarmiento C., 2006, COSTS CONSEQUENCES F
   Sussman E, 2010, ANN NY ACAD SCI, V1196, P87, DOI 10.1111/j.1749-6632.2009.05319.x
   Thieken AH, 2006, RISK ANAL, V26, P383, DOI 10.1111/j.1539-6924.2006.00741.x
   Ward PJ, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/4/044011
   Wetmore F., 2006, An evaluation of the National Flood Insurance Program: final report
   Zimmerman R, 2010, ANN NY ACAD SCI, V1196, P63, DOI 10.1111/j.1749-6632.2009.05318.x
NR 102
TC 61
Z9 74
U1 4
U2 121
PU BLACKWELL SCIENCE PUBL
PI OXFORD
PA OSNEY MEAD, OXFORD OX2 0EL, ENGLAND
BN 978-1-57331-857-0
J9 ANN NY ACAD SCI
JI Ann.NY Acad.Sci.
PY 2011
VL 1227
BP 1
EP 82
DI 10.1111/j.1749-6632.2011.06074.x
PG 82
WC Environmental Sciences; Multidisciplinary Sciences
WE Book Citation Index – Science (BKCI-S); Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Science & Technology - Other Topics
GA BZG26
UT WOS:000301502100001
PM 21692807
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Ke, X
   Yang, W
   Misheng, L
   Ranting, Z
AF Ke, Xu
   Yang, Wang
   Misheng, Lin
   Ranting, Zhao
TI Urban and architectural design from the perspective of flood resilience:
   framework development and case study of a Chinese university campus
SO JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING
LA English
DT Article
DE Urban design; flood resilience; design exploration; framework;
   Grasshopper; design optimisation; NBS; campus case study
AB In recent years, the results of resilience research have been applied to the adaptive strategies of urban systems facing unpredictable risks, but the exploration of resilience in the field of urban and architectural design remains rare. Through analysing and synthesising research on flood resilience, this paper discusses practical methods of urban and architectural design in the context of flood resilience and develops a design framework from the perspective of engineering design. The specific operational steps are as follows: after vulnerability analysis of the target project, the components of the project are divided into three levels: planning pattern, architectural layout, and architectural details. These levels correspond to three design strategies: multidisciplinary decision-making based on GIS analysis, quantitative evaluation based on Grasshopper, and architecture optimisation guidance based on nature-based solutions. Finally, a case study of a Chinese campus shows that design optimisation based on a multi-level strategy improves the overall ability of the campus to deal with rain and flood disasters, and provides a reference for similar engineering practice. By proposing a general framework for urban and architectural design, this paper promotes the development of flood resilience in the field of applied engineering.
C1 [Ke, Xu; Yang, Wang; Misheng, Lin; Ranting, Zhao] South China Univ Technol, Sch Architecture, Guangzhou, Peoples R China.
   [Ke, Xu; Yang, Wang; Misheng, Lin; Ranting, Zhao] South China Univ Technol Co Ltd, Architecture Design & Res Inst, Guangzhou, Peoples R China.
   [Yang, Wang] South China Univ Technol, Sch Architecture, Guangzhou 510641, Peoples R China.
C3 South China University of Technology; South China University of
   Technology
RP Yang, W (corresponding author), South China Univ Technol, Sch Architecture, Guangzhou 510641, Peoples R China.
EM 657278233@qq.com
RI ke, xu/KUF-2390-2024
OI XU, Ke/0009-0006-6807-4139
FU SCIENCE AND TECHNOLOGY INNOVATION PLAN PROJECT - Guangdong Provincial
   Department of Housing and Urban Rural Development [2020-K14-015281]
FX This research was funded by SCIENCE AND TECHNOLOGY INNOVATION PLAN
   PROJECT, funded by Guangdong Provincial Department of Housing and Urban
   Rural Development 2020-K14-015281: http://zfcxjst.gd.gov.cn/(accessed on
   22 May 2022)
CR Adeyeye K, 2017, INT J DISASTER RESIL, V8, P494, DOI 10.1108/IJDRBE-11-2016-0044
   Akther M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082864
   [Anonymous], 2017, Nature, V548, P499, DOI 10.1038/548499b
   [Anonymous], MIKE FLOOD
   [Anonymous], 2020, CHINA B FLOOD DROUGH
   [Anonymous], Climate and Average Weather Year Round in Seneca
   Bisht DS, 2016, NAT HAZARDS, V84, P749, DOI 10.1007/s11069-016-2455-1
   Carter TL, 2006, J AM WATER RESOUR AS, V42, P1261, DOI 10.1111/j.1752-1688.2006.tb05611.x
   Chen B., 2019, LANDSCAPE ARCHIT, V26, P57, DOI [10.14085/j.fjyl.2019.09.0057.09, DOI 10.14085/J.FJYL.2019.09.0057.09]
   Chen YJ, 2016, J ENVIRON MANAGE, V180, P45, DOI 10.1016/j.jenvman.2016.04.059
   [戴伟 Dai Wei], 2017, [城市规划, City Planning Review], V41, P26
   Eisenberg B., 2019, Nature Based Solutions-Technical Handbook INTERESS-I: Integrierte Strategien Zur Strkung Urbaner Blau-Grner Infrastrukturen View Project Space Syntax and Open Space Planning View Project, DOI [10.13140/RG.2.2.24970.54726, DOI 10.13140/RG.2.2.24970.54726]
   Emanuelsson MAE, 2014, J FLOOD RISK MANAG, V7, P31, DOI 10.1111/jfr3.12028
   HEC-RAS, About us
   Hurlimann A, 2018, WATER-SUI, V10, DOI 10.3390/w10050546
   Hydromea, ABOUT US
   Jalali Z, 2020, SCI TECHNOL BUILT EN, V26, P128, DOI 10.1080/23744731.2019.1624095
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kuang D, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.111025
   Liao KH, 2014, NAT HAZARDS, V71, P723, DOI 10.1007/s11069-013-0923-4
   Liao Z, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL094505
   Luo Shan, 2018, Journal of Zhejiang University (Engineering Science), V52, P845, DOI 10.3785/j.issn.1008-973X.2018.05.004
   Manfredo M. J., 2004, HUMAN DIMENSIONS WIL, V9, P1, DOI [DOI 10.1080/10871200490505765, 10.1080/10871200490505765]
   Marshall N. A., 2010, A framework for social adaptation to climate change: sustaining tropical coastal communitites and industries
   Martin-Breen P., 2011, Resilience: A Literature Review Bellagio Initiative
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   Morse J. L., 2019, PATHWAYS BARRIERS PA, P1, DOI DOI 10.1007/978-3-030-24864-2_1
   Mukkavaara J, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10110201
   Pechlivanidis IG, 2011, GLOBAL NEST J, V13, P193
   Peffers K., 2006, 1 INT C DES SCI INF, P83
   Pistrika A., 2010, EUROPEAN WATER, V30, P3
   Proverbs D., 2017, Oxford research encyclopedia of natural hazard science, DOI [DOI 10.1093/ACREFORE/9780199389407.013.111, 10.1093/acrefore/9780199389407.013.111]
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   Simmons Mark T., 2008, Urban Ecosystems, V11, P339, DOI 10.1007/s11252-008-0069-4
   Sultana S, 2007, LECT NOTES GEOINF CA, P369, DOI 10.1007/978-3-540-72108-6_24
   White G., 1942, Human adjustment to floods
   World Bank, 2021, CAT NAT BAS SOL URB
   Zevenbergen C, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0212
NR 39
TC 5
Z9 5
U1 11
U2 36
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1346-7581
EI 1347-2852
J9 J ASIAN ARCHIT BUILD
JI J. Asian Archit. Build. Eng.
PD SEP 3
PY 2023
VL 22
IS 5
BP 3100
EP 3114
DI 10.1080/13467581.2023.2172340
EA FEB 2023
PG 15
WC Architecture; Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture; Construction & Building Technology
GA O7PJ9
UT WOS:000924291700001
OA gold
DA 2025-04-22
ER

PT J
AU Osheen
   Kansal, ML
   Bisht, DS
AF Osheen
   Kansal, Mitthan Lal
   Bisht, Deepak Singh
TI Evaluation of an urban drainage system using functional and structural
   resilience approach
SO URBAN WATER JOURNAL
LA English
DT Article
DE Urban drainage system; SWMM; catchment width; functional resilience;
   structural resilience
ID FLOOD RISK; CLIMATE-CHANGE; PARAMETER-ESTIMATION; FREQUENCY-ANALYSIS;
   OVERLAND-FLOW; MANAGEMENT; INDIA; RAINFALL; URBANIZATION; IMPACT
AB This study presents a resilience-based evaluation of an urban drainage system (UDS) under the impact of functional and structural failure modes. Resilience based analysis is carried out using SWMM for a part of Gurugram City of Haryana, India. For simulating the drainage system response, half-hourly rainfall data available from GPM-IMERG was utilized to estimate the design storm of suitable duration. Sensitivity analysis is carried out to overcome the problem of lack of in-depth data to perform model calibration and validation. Besides, a comparison of three different estimation approaches of subcatchment width, an important SWMM parameter, is also presented. Different rainfall and urban growth scenarios were considered to analyse the drainage system's functional and structural resilience. For the studied UDS, a total of 22 vulnerable nodes were identified through the structural resilience approach, and the functional resilience approach revealed that urbanization has more pronounced effects on UDS than climate change.
C1 [Osheen; Kansal, Mitthan Lal] Indian Inst Technol, Water Resources Dev & Management, Roorkee, Uttar Pradesh, India.
   [Bisht, Deepak Singh] Western Himalayan Reg Ctr, Natl Inst Hydrol, Jammu, Jammu & Kashmir, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Roorkee
RP Osheen (corresponding author), Indian Inst Technol, Water Resources Dev & Management, Roorkee, Uttar Pradesh, India.
EM osheen@wr.iitr.ac.in
RI Kansal, Mitthan Lal/Q-9625-2019; Bisht, Deepak Singh/N-4367-2014
OI Bisht, Deepak Singh/0000-0002-0833-780X; , Osheen/0000-0003-4801-7058
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ana EV, 2010, URBAN WATER J, V7, P47, DOI 10.1080/15730620903447597
   Andimuthu R, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43859-3
   [Anonymous], 2012, THE EC TIMES
   [Anonymous], 2014, WORLD URBANIZATION P, DOI [10.4054/DemRes.2005.12.9, DOI 10.4054/DEMRES.2005.12.9]
   [Anonymous], 1982, Gravity Sanitary Sewer Design and Construction
   Arnbjerg-Nielsen K, 2012, URBAN WATER J, V9, P57, DOI 10.1080/1573062X.2011.630091
   Behrouz MS, 2020, J HYDROL, V581, DOI 10.1016/j.jhydrol.2019.124436
   Birgani YT, 2016, P I CIVIL ENG-WAT M, V169, P3, DOI 10.1680/wama.14.00043
   Bisht DS, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125448
   Bisht DS, 2019, INT J CLIMATOL, V39, P1889, DOI 10.1002/joc.5922
   Bisht DS, 2018, THEOR APPL CLIMATOL, V133, P421, DOI 10.1007/s00704-017-2200-z
   Bisht DS, 2016, NAT HAZARDS, V84, P749, DOI 10.1007/s11069-016-2455-1
   Boogaard F, 2017, MATEC WEB CONF, V103, DOI 10.1051/matecconf/201710304012
   Burns MJ, 2015, WIRES WATER, V2, P291, DOI 10.1002/wat2.1078
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D., 2018, Urban Drainage
   Chang HK, 2013, HYDROLOG SCI J, V58, P1581, DOI 10.1080/02626667.2013.836276
   Chen Y, 2021, EUR J REMOTE SENS, V54, P77, DOI 10.1080/22797254.2020.1758962
   Chow V.T., 1988, Applied Hydrology
   Cooper VA, 2007, J HYDROL, V334, P455, DOI 10.1016/j.jhydrol.2006.10.036
   Dawson RJ, 2008, J HYDROINFORM, V10, P275, DOI 10.2166/hydro.2008.054
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Farooq M, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3553-z
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fletcher TD, 2013, ADV WATER RESOUR, V51, P261, DOI 10.1016/j.advwatres.2012.09.001
   Fu GT, 2014, J HYDROL, V510, P49, DOI 10.1016/j.jhydrol.2013.12.006
   Gironás J, 2010, ENVIRON MODELL SOFTW, V25, P813, DOI 10.1016/j.envsoft.2009.11.009
   Griffis VW, 2007, J HYDROL ENG, V12, P492, DOI 10.1061/(ASCE)1084-0699(2007)12:5(492)
   Gupta K., 2007, Urb. Wat. J, V4, P183, DOI DOI 10.1080/15730620701464141
   Hajani E, 2018, NAT HAZARDS, V93, P67, DOI 10.1007/s11069-018-3289-9
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Hettiarachchi S, 2018, HYDROL EARTH SYST SC, V22, P2041, DOI 10.5194/hess-22-2041-2018
   Hosking J.R.M., 1997, Regional Frequency Analysis: An Approach Based on L-Moments, DOI DOI 10.1017/CBO9780511529443
   HOSKING JRM, 1990, J ROY STAT SOC B MET, V52, P105
   Hossain MK, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104829
   Houston D., 2011, Pluvial (rain-related) flooding in urban areas: the invisible hazard
   Huang HB, 2018, SCI TOTAL ENVIRON, V622, P394, DOI 10.1016/j.scitotenv.2017.11.358
   Huang HJ, 2008, HYDROL PROCESS, V22, P2075, DOI 10.1002/hyp.6807
   Huffman G.J., 2019, INTEGRATED MULTISATE
   Hwang H, 2015, J HYDROINFORM, V17, P193, DOI 10.2166/hydro.2014.111
   Jacob XK, 2020, ENVIRON MODEL ASSESS, V25, P97, DOI 10.1007/s10666-019-09664-y
   Jacobson CR, 2011, J ENVIRON MANAGE, V92, P1438, DOI 10.1016/j.jenvman.2011.01.018
   Jafari F, 2020, WATER RESOUR MANAG, V34, P1773, DOI 10.1007/s11269-020-02528-1
   Jena PP, 2014, J HYDROL, V517, P847, DOI 10.1016/j.jhydrol.2014.06.021
   Kansal ML, 2019, WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2019: EMERGING AND INNOVATIVE TECHNOLOGIES AND INTERNATIONAL PERSPECTIVES, P12
   Karymbalis E, 2012, Z GEOMORPHOL, V56, P45, DOI 10.1127/0372-8854/2012/S-00072
   Kellagher R.B.B., 2009, WAPUG ANN C HR WALL
   Kim Y, 2017, CLIMATIC CHANGE, V145, P397, DOI 10.1007/s10584-017-2090-1
   Kumar R, 2011, IN EXTREMIS: DISRUPTIVE EVENTS AND TRENDS IN CLIMATE AND HYDROLOGY, P105, DOI 10.1007/978-3-642-14863-7_5
   Lansey K., 2012, P WDSA 2012 14 WATER, P1
   Lee EH, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000775, 10.1061/(asce)wr.1943-5452.0000775]
   Li XF, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026774
   Li Y, 2020, J CLEAN PROD, V257, DOI 10.1016/j.jclepro.2020.120525
   Liu W, 2020, ENVIRON MANAGE, V66, P683, DOI 10.1007/s00267-020-01339-9
   Locatelli L, 2017, J HYDROL, V544, P524, DOI 10.1016/j.jhydrol.2016.11.030
   Maksimovic C, 2009, J HYDRAUL RES, V47, P512, DOI 10.1080/00221686.2009.9522027
   Martin C, 2020, ENVIRON MODELL SOFTW, V123, DOI 10.1016/j.envsoft.2019.104568
   Martínez C, 2018, WATER RESOUR MANAG, V32, P4329, DOI 10.1007/s11269-018-2054-x
   Masson-Delmotte V.P., 2018, CLIM CHANG 2014 IMP, P32, DOI [10.1017/9781009157926.005, DOI 10.1017/CBO9781107415324]
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Miller JD, 2014, J HYDROL, V515, P59, DOI 10.1016/j.jhydrol.2014.04.011
   Millington N., 2011, COMP GEV LOG PEARSON
   Mohammadiun S, 2020, HYDROLOG SCI J, V65, P281, DOI 10.1080/02626667.2019.1690657
   Mugume S.N., 2015, THESIS U EXETER
   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
   MWC, 2019, CONSTR WAT DES MAN
   Myers BR, 2019, APPROACHES TO WATER SENSITIVE URBAN DESIGN: POTENTIAL, DESIGN, ECOLOGICAL HEALTH, URBAN GREENING, ECONOMICS, POLICIES, AND COMMUNITY PERCEPTIONS, P119, DOI 10.1016/B978-0-12-812843-5.00006-X
   Mzava P, 2020, H2OPEN J, V3, P288, DOI 10.2166/h2oj.2020.009
   Niazi M, 2017, J SUSTAIN WATER BUIL, V3, DOI [10.1061/jswbay.0000817, 10.1061/JSWBAY.0000817]
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Pramanik S, 2021, REMOTE SENS APPL, V22, DOI 10.1016/j.rsase.2021.100504
   Rabori AM, 2018, WATER ENVIRON RES, V90, P2075, DOI 10.2175/106143017X15131012188213
   Rangari V.A., 2018, Asian Journal of Engineering and Applied Technology, V7, P7, DOI [10.51983/ajeat-2018.7.1.872, DOI 10.51983/AJEAT-2018.7.1.872]
   RAWLS WJ, 1983, J HYDRAUL ENG-ASCE, V109, P62, DOI 10.1061/(ASCE)0733-9429(1983)109:1(62)
   Chaudhuri RR, 2020, NAT HAZARDS, V104, P2307, DOI 10.1007/s11069-020-04273-5
   Rossman LA, 2016, Storm water management model reference manual volume IHydrology (Revised)
   Rossman LA., 2010, Storm water management model users manual version 5.0
   Roth D, 2019, CLIM POLICY, V19, pS78, DOI 10.1080/14693062.2018.1530967
   Saltelli A., 2008, GLOBAL SENSITIVITY A, DOI DOI 10.1002/9780470725184
   Samantaray D, 2015, NAT HAZARDS, V76, P347, DOI 10.1007/s11069-014-1493-9
   Sandink D, 2016, J FLOOD RISK MANAG, V9, P208, DOI 10.1111/jfr3.12168
   Shuster W.D., 2005, Urban Water Journal, V2, P263, DOI [10.1080/15730620500386529, DOI 10.1080/15730620500386529]
   Skilodimou H, 2003, GEOGR ANN A, V85A, P197, DOI 10.1111/1468-0459.00198
   Sohn W, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106774
   Sreeja P, 2007, WATER RESOUR MANAG, V21, P1225, DOI 10.1007/s11269-006-9078-3
   Stone B, 2004, LANDSCAPE URBAN PLAN, V69, P101, DOI 10.1016/j.landurbplan.2003.10.028
   Sudhira HS, 2012, CURR SCI INDIA, V103, P37
   Sun S, 2011, URBAN WATER J, V8, P13, DOI 10.1080/1573062X.2010.542819
   Sweetapple C, 2014, WATER RES, V62, P249, DOI 10.1016/j.watres.2014.06.002
   Taji S. G., 2021, ISH Journal of Hydraulic Engineering, V27, P376, DOI 10.1080/09715010.2019.1660919
   Tang Y, 2007, HYDROL EARTH SYST SC, V11, P793, DOI 10.5194/hess-11-793-2007
   TenVeldhuis JAE, 2010, QUANTITATIVE RISK AN
   Thorndahl S, 2008, WATER RES, V42, P455, DOI 10.1016/j.watres.2007.07.038
   Todeschini S, 2012, INT J CLIMATOL, V32, P900, DOI 10.1002/joc.2313
   UDFCD (Urban Drainage and Flood Control District), 2016, URB STORM DRAIN CRIT
   Vemula S, 2019, NAT HAZARDS, V95, P637, DOI 10.1007/s11069-018-3511-9
   Wani O, 2017, WATER RES, V121, P290, DOI 10.1016/j.watres.2017.05.038
   Zhang QA, 2011, THEOR APPL CLIMATOL, V103, P479, DOI 10.1007/s00704-010-0315-6
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
   Zhou XY, 2017, INT J CLIMATOL, V37, P4586, DOI 10.1002/joc.5107
   Zhu ZH, 2016, SCI TOTAL ENVIRON, V553, P1, DOI 10.1016/j.scitotenv.2016.02.025
NR 104
TC 16
Z9 17
U1 12
U2 70
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 1794
EP 1812
DI 10.1080/1573062X.2022.2044495
EA MAR 2022
PG 19
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA DA2G4
UT WOS:000765614800001
DA 2025-04-22
ER

PT J
AU Elmqvist, T
   Andersson, E
   Frantzeskaki, N
   McPhearson, T
   Olsson, P
   Gaffney, O
   Takeuchi, K
   Folke, C
AF Elmqvist, Thomas
   Andersson, Erik
   Frantzeskaki, Niki
   McPhearson, Timon
   Olsson, Per
   Gaffney, Owen
   Takeuchi, Kazuhiko
   Folke, Carl
TI Sustainability and resilience for transformation in the urban century
SO NATURE SUSTAINABILITY
LA English
DT Review
ID EARTH SYSTEM; GOVERNANCE; TRANSITIONS; INNOVATION; PATHWAYS; POLITICS;
   METAPHOR; CITIES; POLICY
AB We have entered the urban century and addressing a broad suite of sustainability challenges in urban areas is increasingly key for our chances to transform the entire planet towards sustainability. For example, cities are responsible for 70% of global greenhouse gas emissions and, at the same time, 90% of urban areas are situated on coastlines, making the majority of the world's population increasingly vulnerable to climate change. While urbanization accelerates, meeting the challenges will require unprecedented transformative solutions for sustainability with a careful consideration of resilience in their implementation. However, global and local policy processes often use vague or narrow definitions of the concepts of 'urban sustainability' and 'urban resilience', leading to deep confusion, particularly in instances when the two are used interchangeably. Confusion and vagueness slow down needed transformation processes, since resilience can be undesirable and many sustainability goals contrast, or even challenge efforts to improve resilience. Here, we propose a new framework that resolves current contradictions and tensions; a framework that we believe will significantly help urban policy and implementation processes in addressing new challenges and contributing to global sustainability in the urban century.
C1 [Elmqvist, Thomas; Andersson, Erik; McPhearson, Timon; Olsson, Per; Gaffney, Owen; Folke, Carl] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden.
   [Andersson, Erik] North West Univ, Potchefstroom, South Africa.
   [Frantzeskaki, Niki] Erasmus Univ, Dutch Res Inst Transit, Rotterdam, Netherlands.
   [McPhearson, Timon] New Sch, Urban Syst Lab, New York, NY USA.
   [McPhearson, Timon] Cary Inst Ecosyst Studies, Millbrook, NY USA.
   [Takeuchi, Kazuhiko] Univ Tokyo, Integrated Res Syst Sustainabil Sci, Tokyo, Japan.
   [Takeuchi, Kazuhiko] Inst Global Environm Strategies, Hayama, Kanagawa, Japan.
   [Folke, Carl] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, Stockholm, Sweden.
C3 Stockholm University; North West University - South Africa; Erasmus
   University Rotterdam - Excl Erasmus MC; Erasmus University Rotterdam;
   The New School; Cary Institute of Ecosystem Studies; University of
   Tokyo; Royal Swedish Academy of Sciences; Beijer Institute of Ecological
   Economics
RP Elmqvist, T (corresponding author), Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden.
EM thomas.elmqvist@su.se
RI Elmqvist, Thomas/AAY-6344-2021; Folke, Carl/Z-1545-2019; Olsson,
   Per/AAE-9104-2019; Andersson, Erik/AAE-9771-2019; Frantzeskaki,
   Niki/AAN-1044-2021; gaffney, owen/JMQ-6627-2023; McPhearson,
   Timon/JOZ-3799-2023
OI Elmqvist, Thomas/0000-0002-4617-6197; Folke, Carl/0000-0002-4050-3281;
   Olsson, Per/0000-0002-9038-4786; Andersson, Erik/0000-0003-2716-5502;
   Frantzeskaki, Niki/0000-0002-6983-448X; McPhearson,
   Timon/0000-0002-9499-0791; gaffney, owen/0000-0001-6244-991X
FU Biodiversa; Horizon 2020 CONNECTING NATURE Project; Urban Resilience to
   Extreme Weather-related Events Sustainability Research Network (URExSRN;
   NSF) [SES 1444755]
FX We wish to thank the Biodiversa-funded URBES project for providing the
   basis for our arguments in this paper and the research space to explore
   connections between resilience, sustainability and transformations. N.
   F. is supported by the Horizon 2020 CONNECTING NATURE Project. T. M. is
   additionally supported by the Urban Resilience to Extreme
   Weather-related Events Sustainability Research Network (URExSRN; NSF
   grant no. SES 1444755). T. E. is grateful to IR3S, University of Tokyo,
   for generously hosting T. E. during the writing of the paper.
CR Acuto M, 2018, NAT SUSTAIN, V1, P2, DOI 10.1038/s41893-017-0013-9
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alberti M., 2018, Urban Planet, DOI 10.1017/9781316647554.004
   Anderies JM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05178-180208
   [Anonymous], 2013, Urbanization, biodiversity and ecosystem services: challenges and opportunities
   [Anonymous], 2014, REV WORLD URB PROSP
   Bai X., 2018, The Urban Planet: Knowledge Towards Sustainable Cities, P462
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Bai XM, 2010, CURR OPIN ENV SUST, V2, P129, DOI 10.1016/j.cosust.2010.05.008
   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
   Biermann F, 2010, INT ENVIRON AGREEM-P, V10, P277, DOI 10.1007/s10784-010-9137-3
   Biggs R., 2015, PRINCIPLES BUILDING
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Depietri Y, 2018, CLIMATIC CHANGE, V148, P95, DOI 10.1007/s10584-018-2194-2
   Dickson E., 2012, URBAN DEV SERIES
   Ehnert F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030612
   Elmqvist T, 2018, SUSTAIN SCI, V13, P1549, DOI 10.1007/s11625-018-0611-0
   Elmqvist T, 2017, NATURE, V546, P352, DOI 10.1038/546352d
   Elmqvist Thomas., 2014, SOLUTIONS, V5, P26
   Elmqvist Thomas., 2018, URBAN PLANET KNOWLED
   Ely A, 2013, ENVIRON PLANN C, V31, P1063, DOI 10.1068/c12285j
   Enfors E, 2013, GLOBAL ENVIRON CHANG, V23, P51, DOI 10.1016/j.gloenvcha.2012.10.007
   Folke C, 1997, AMBIO, V26, P167
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08748-210341
   Folke C, 2011, AMBIO, V40, P719, DOI 10.1007/s13280-011-0184-y
   Folke C, 2010, ECOL SOC, V15
   Frantzeskaki N, 2017, ROU STUD SUST TRANS, P1
   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
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P1, DOI 10.1016/j.envsci.2016.05.008
   Frantzeskaki N, 2014, AMBIO, V43, P542, DOI 10.1007/s13280-014-0512-0
   Fuenfschilling L, 2019, EUR PLAN STUD, V27, P219, DOI 10.1080/09654313.2018.1532977
   Galaz V, 2018, GLOBAL ENVIRON CHANG, V53, P296, DOI 10.1016/j.gloenvcha.2018.09.008
   Graham Stephen., 2009, DISRUPTED CITIES INF
   Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Leach Melissa, 2010, Dynamic Sustainabilities: Technology, Environment, Social
   Levin SA, 1998, ECOSYSTEMS, V1, P431, DOI 10.1007/s100219900037
   Marcotullio P., 2007, Scaling the urban environmental transition, from local to global and back
   McPhearson T, 2016, CURR OPIN ENV SUST, V22, P33, DOI 10.1016/j.cosust.2017.04.004
   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
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   McPhillips LE, 2018, EARTHS FUTURE, V6, P441, DOI 10.1002/2017EF000686
   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
   Moore ML, 2018, ECOL SOC, V23, DOI 10.5751/ES-10166-230238
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Olsson P, 2017, ECOL SOC, V22, DOI 10.5751/ES-09310-220231
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Pelling M, 2011, ECOL SOC, V16
   Pereira LM, 2018, ECOL SOC, V23, DOI 10.5751/ES-10607-230432
   Pereira LM., 2018, URBAN PLANET KNOWLED, P327, DOI [10.1017/9781316647554.018, DOI 10.1017/9781316647554.018]
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Romero-Lankao P, 2017, NAT CLIM CHANGE, V7, P233
   Seitzinger SP, 2012, AMBIO, V41, P787, DOI 10.1007/s13280-012-0353-7
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109
   Solecki W, 2018, NAT CLIM CHANGE, V8, P177, DOI 10.1038/s41558-018-0101-5
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   UN, 1987, Report of the World Commission on Environment and Development
   United Nations, 2017, The New Urban Agenda. Adopted at the United Nations Conference on Housing and Sustainable Urban Develop-Ment (Habitat III) in Quito
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Walker B, 2004, ECOL SOC, V9
   Westley F, 2011, AMBIO, V40, P762, DOI 10.1007/s13280-011-0186-9
   Wiek A, 2012, SUSTAIN SCI, V7, P1, DOI [10.1007/s11625-011-0154-0, 10.1007/s11625-013-0208-6]
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Wolfram M, 2016, CURR OPIN ENV SUST, V22, P18, DOI 10.1016/j.cosust.2017.01.014
   Wolfram M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8020144
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 80
TC 605
Z9 645
U1 106
U2 819
PU NATURE PUBLISHING GROUP
PI LONDON
PA MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 2398-9629
J9 NAT SUSTAIN
JI Nat. Sustain.
PD APR
PY 2019
VL 2
IS 4
BP 267
EP 273
DI 10.1038/s41893-019-0250-1
PG 7
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 HS5QJ
UT WOS:000463925700012
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Xu, H
   Li, Y
   Wang, L
AF Xu, Hui
   Li, Yang
   Wang, Lin
TI Resilience Assessment of Complex Urban Public Spaces
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE resilience assessment; complex urban public spaces; disaster
   preparedness; vulnerability
ID COMMUNITY RESILIENCE; DISASTER PREPAREDNESS; MODEL; DEMATEL; ANP;
   SELECTION; METRICS; DANP; RISK
AB Risk events frequently occur in "complex urban public spaces" (CUPSs) and cause serious economic losses and casualties. To reduce the risks and enhance the system resilience, this paper formulates a theoretical framework to assess the resilience of CUPSs. Resilience is defined as the ratio of preparedness to vulnerability, according to the implication of the concept. Three-level practical indicator systems were established for these two dimensions, respectively. Furthermore, a hybrid approach combining the Analytic Network Process (ANP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) was adopted. The Chongqing West Railway Station (the Station (W)) and the Lianglukou Rail Transit Station (the Station (L)) were used for a case study. The results showed that the Chongqing West Railway Station was more resilient to risks than the Lianglukou Rail Transit Station. Therefore, the proposed theoretical framework could be applied in assessing the resilience level of CUPSs. Resilience improvement strategies can be formulated according to the assessment results. Furthermore, the practical indicators could also provide references for urban disaster management.
C1 [Xu, Hui; Li, Yang] Chongqing Univ Posts & Telecommun, Sch Econ & Management, Chongqing 400065, Peoples R China.
   [Wang, Lin] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing 400045, Peoples R China.
C3 Chongqing University of Posts & Telecommunications; Chongqing University
RP Wang, L (corresponding author), Chongqing Univ, Sch Management Sci & Real Estate, Chongqing 400045, Peoples R China.
EM xuhui@cqupt.edu.cn; s180701025@stu.cqupt.edu.cn; wangidill@163.com
OI Li, Yang/0000-0001-6127-1355; Xu, Hui/0000-0002-0744-3002
FU National Natural Science Foundation of China [71801026]; MOE (Ministry
   of Education in China) Project of Humanities and Social Sciences
   [17YJC630189]; Chongqing Research Program of Basic Research and Frontier
   Technology [cstc2017jcyjAX0359]
FX This research was funded by the National Natural Science Foundation of
   China, grant number 71801026; the MOE (Ministry of Education in China)
   Project of Humanities and Social Sciences, grant number 17YJC630189; and
   the Chongqing Research Program of Basic Research and Frontier
   Technology, grant number cstc2017jcyjAX0359.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Allen KM, 2006, DISASTERS, V30, P81, DOI 10.1111/j.1467-9523.2006.00308.x
   [Anonymous], 2005, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters, DOI DOI 10.1017/CBO9781107415324.004
   [Anonymous], SOCIAL INDICATORS RE
   [Anonymous], FRAMEWORK DEFINING M
   [Anonymous], WORLD PROBLEMS INVIT
   [Anonymous], INTR CHONGQ W RAILW
   [Anonymous], CHONGQ MED LONG TERM
   [Anonymous], DECISION MAKING ANAL
   [Anonymous], 2009, NAT INFR PROT PLAN P
   [Anonymous], DISASTER PREPAREDNES
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Büyüközkan G, 2016, INT J PROD ECON, V182, P435, DOI 10.1016/j.ijpe.2016.09.015
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   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
   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
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Gigovic L, 2017, RENEW ENERG, V103, P501, DOI 10.1016/j.renene.2016.11.057
   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
   Hsu CH, 2012, RESOUR CONSERV RECY, V66, P95, DOI 10.1016/j.resconrec.2012.02.009
   Khademi N, 2015, INT J DISAST RISK RE, V12, P234, DOI 10.1016/j.ijdrr.2015.01.009
   Kusumastuti RD, 2014, INT J DISAST RISK RE, V10, P327, DOI 10.1016/j.ijdrr.2014.10.007
   Li CW, 2009, EXPERT SYST APPL, V36, P9891, DOI 10.1016/j.eswa.2009.01.073
   López-Cuevas A, 2017, RISK ANAL, V37, P1566, DOI 10.1111/risa.12788
   Miceli R, 2008, J ENVIRON PSYCHOL, V28, P164, DOI 10.1016/j.jenvp.2007.10.006
   Ou YangY P., 2008, INT J OPL RES, V5, P160, DOI DOI 10.1080/14783361003606852
   Pfefferbaum RL, 2013, J PUBLIC HEALTH MAN, V19, P250, DOI 10.1097/PHH.0b013e318268aed8
   Salas J, 2018, J CLEAN PROD, V179, P544, DOI 10.1016/j.jclepro.2018.01.088
   Schoch-Spana M, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16132372
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Simpson D.M., 2006, Indicator issues and proposed framework for a disaster preparedness index (DPi)
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Szewranski S, 2018, INTEGR ENVIRON ASSES, V14, P592, DOI 10.1002/ieam.4077
   Tiernan A, 2019, POLICY DES PRACT, V2, P53, DOI 10.1080/25741292.2018.1507240
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Tsai WH, 2009, EXPERT SYST APPL, V36, P1444, DOI 10.1016/j.eswa.2007.11.058
   United Nations International Strategy for Disaster Reduction, 2009, UNISDR TERM DIS RISK
   United Nations Office for Disaster Risk Reduction, 2015, 3 WORLD C DISASTER R, V1, P37
   Wang L, 2018, ADV CIV ENG, V2018, DOI 10.1155/2018/2073968
   Wang YL, 2012, EXPERT SYST APPL, V39, P5600, DOI 10.1016/j.eswa.2011.11.057
   Xu H, 2017, J BUILD ENG, V12, P306, DOI 10.1016/j.jobe.2017.06.018
   Yang YF, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101485
   Zhang MM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224442
NR 50
TC 25
Z9 25
U1 18
U2 149
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 2
PY 2020
VL 17
IS 2
AR 524
DI 10.3390/ijerph17020524
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 KQ3LG
UT WOS:000516827400145
PM 31947652
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Li, C
   Wang, YB
   Qing, W
   Li, CX
   Yang, YJ
AF Li, Chong
   Wang, Yibao
   Qing, Wen
   Li, Cuixi
   Yang, Yujiang
TI Differential Evaluation of Ecological Resilience in 45 Cities along the
   Yangtze River in China: A New Multidimensional Analysis Framework
SO LAND
LA English
DT Article
DE cities along the Yangtze River Basin; UER (urban ecosystem resilience);
   DPSIR (driver, pressure, state, impact, and response); adaptive cycle;
   PLE (production-living-ecological); human and environment interaction;
   differential evaluation
AB The rapid pace of urbanization and global climate change necessitates a thorough assessment of urban ecological resilience to cultivate sustainable regional ecosystem development. Cities along the Yangtze River face an intensifying conflict between ecological preservation and socio-economic growth. Analyzing the ecological resilience of these urban centers is essential for achieving equilibrium in regional urban ecosystems. This study proposes a "system process space" attribute analysis framework, taking into account urban development processes, ecosystem structure, and resilience evolution stages. Utilizing data from 45 Yangtze River cities, we establish a "Driver, Pressure, State, Impact, and Response" (DPSIR) evaluation index system to evaluate changes in ecological resilience levels and evolution trends from 2011 to 2022. Our findings indicate that: (1) The ecological resilience index of Yangtze River cities increased from 0.177 to 0.307 between 2011 and 2022, progressing through three phases: ecological resilience construction, rapid development, and stable development. (2) At the city level, ecological resilience along the Yangtze River exhibits uneven development characteristics. Upstream cities display a significant "stepped" pattern, midstream cities exhibit a significant "Matthew effect", and downstream cities present a pyramid-shaped pattern. While regional differences in ecological resilience persist, overall polarization is gradually decreasing, intercity connections are strengthening, and there is a growing focus on coordinated regional development. (3) The spatial distribution of ecological resilience in Yangtze River cities demonstrates both continuity and evolution, generally forming a "core-edge" clustered pattern. Based on these findings, we recommend enhancing inter-city cooperation and connectivity, addressing imbalances in urban ecological resilience, and promoting high-quality ecological resilience development along the Yangtze River through tailored development strategies for each city.
C1 [Li, Chong; Wang, Yibao; Qing, Wen; Li, Cuixi; Yang, Yujiang] China Univ Min & Technol, Sch Publ Policy & Management, Sch Emergency Management, Xuzhou 221116, Peoples R China.
C3 China University of Mining & Technology
RP Wang, YB (corresponding author), China Univ Min & Technol, Sch Publ Policy & Management, Sch Emergency Management, Xuzhou 221116, Peoples R China.
EM wangyb@cumt.edu.cn
FU China University of Mining and Technology Graduate Student Innovation
   Programme Project;  [2024WLKXJ131]
FX This research was funded by a grant from the China University of Mining
   and Technology Graduate Student Innovation Programme Project
   (2024WLKXJ131) to Chong Li.
CR Alford JB, 2014, HYDROBIOLOGIA, V738, P129, DOI 10.1007/s10750-014-1925-2
   An M, 2023, ENVIRON SCI POLLUT R, V30, P16355, DOI 10.1007/s11356-022-23271-7
   Balland PA, 2017, ECON GEOGR, V93, P1, DOI 10.1080/00130095.2016.1205947
   Bao TT, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14215540
   Bellini E., 2022, Urban Resil. Methodol. Tools Eval, V11, P49
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chang QL, 2024, LAND-BASEL, V13, DOI 10.3390/land13010111
   Cremin E, 2023, SUSTAIN SCI, V18, P1871, DOI 10.1007/s11625-023-01295-3
   Cumming GS, 2011, LANDSCAPE ECOL, V26, P899, DOI 10.1007/s10980-011-9623-1
   Duo LH, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.902444
   Fan FF, 2022, APPL GEOGR, V138, DOI 10.1016/j.apgeog.2021.102619
   [封亦代 Feng Yidai], 2023, [地理研究, Geographical Research], V42, P2343
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Fu SZ, 2020, ENVIRON SCI POLLUT R, V27, P23981, DOI 10.1007/s11356-020-08683-7
   Hansen R, 2023, EUR PLAN STUD, V31, P2401, DOI 10.1080/09654313.2022.2139594
   [贺小荣 He Xiaorong], 2024, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V33, P699
   Holling CS, 2001, PANARCHY, P25
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Huang LY, 2022, J CLEAN PROD, V339, DOI 10.1016/j.jclepro.2022.130681
   Iwaniec DM, 2020, LANDSCAPE URBAN PLAN, V200, DOI 10.1016/j.landurbplan.2020.103820
   Jozaei J, 2018, OCEAN COAST MANAGE, V163, P130, DOI 10.1016/j.ocecoaman.2018.06.014
   Le XY, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16072926
   Lee CC, 2024, J CLEAN PROD, V443, DOI 10.1016/j.jclepro.2024.141082
   Li B, 2023, ECOSYST HEALTH SUST, V9, DOI 10.34133/ehs.0130
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li GZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110667
   Li WJ, 2021, SCI TOTAL ENVIRON, V791, DOI 10.1016/j.scitotenv.2021.148311
   Lu M, 2023, LAND-BASEL, V12, DOI 10.3390/land12020302
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   [彭翀 Peng Chong], 2024, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V33, P14
   Peng HJ, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.111024
   Peng L, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15020430
   Seidl R, 2016, J APPL ECOL, V53, P120, DOI 10.1111/1365-2664.12511
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Shi CC, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100284
   [陶洁怡 Tao Jieyi], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1975
   Tong ZM, 2016, APPL ENERG, V179, P660, DOI 10.1016/j.apenergy.2016.07.019
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   [王松茂 Wang Songmao], 2022, [经济地理, Economic Geography], V42, P51
   Wang YY, 2024, ENVIRON IMPACT ASSES, V108, DOI 10.1016/j.eiar.2024.107613
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   Xiao S, 2023, PEERJ, V11, DOI 10.7717/peerj.15869
   Yang M, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191911988
   Yin ZX, 2024, INT REV ECON FINANC, V94, DOI 10.1016/j.iref.2024.103384
   Zhang CG, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112263
   Zhang Q, 2019, THEOR APPL CLIMATOL, V136, P1157, DOI 10.1007/s00704-018-2541-2
   Zhang QR, 2023, LAND-BASEL, V12, DOI 10.3390/land12051089
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
   Zhong SJ, 2022, CITIES, V129, DOI 10.1016/j.cities.2022.103831
   Zhou Y, 2022, POL J ENVIRON STUD, V31, P2381, DOI 10.15244/pjoes/144098
   Zou C, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109152
NR 53
TC 1
Z9 1
U1 45
U2 45
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD OCT
PY 2024
VL 13
IS 10
AR 1588
DI 10.3390/land13101588
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA K3V1E
UT WOS:001343176800001
OA gold
DA 2025-04-22
ER

PT J
AU Gao, W
   Chen, GY
   Jiang, FY
   Shen, JK
   Wang, YC
AF Gao, Wei
   Chen, Gengyu
   Jiang, Fanying
   Shen, Jiake
   Wang, Yuncai
TI To Act or Not to Act: Are Natural Landscapes a Key Force in the
   Resilience of Historic Urban Landscapes?
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; historic urban landscape; climate change; semantic
   differential analysis; Yudai Trench historic urban landscape
ID CLIMATE-CHANGE; SUSTAINABLE DEVELOPMENT; HYDROLOGICAL IMPACTS; CHINA;
   HERITAGE; URBANIZATION; RIVER; RECONSTRUCTION; MODEL
AB Ignoring the function of natural landscapes in the rapid development of urbanization, and especially in the conservation of historic urban landscapes, is still obvious today, and this has caused a large decrease in natural space, loss of habitats, and an increase in disasters. The resilience of a whole city and parts of it, such as historic urban areas where the historical process of man and nature have been recorded, as well as the interaction between nature, economy, and culture, is not strong enough to maintain the stability of urban ecosystems. It is misleading to think that the resilience can be built in a historic urban area without a natural landscape. We question whether this is true. Using a semantic differential analysis method from a historical perspective, this paper aims to answer this question through research on the correlation between resilience and man and nature through a case study of Yudai Trench historic urban landscape in Guangzhou, a historic urban area with 1000 years of history. A total of 212 pieces of evidence were extracted from 59 historical sources. The results showed that the cultural and economic conditions were in the same step and cycles as nature, which were influenced strongly by climate change, and that the natural landscape has a correlation on and is a dominant force in the resilience of historic urban landscapes.
C1 [Gao, Wei; Chen, Gengyu; Jiang, Fanying] South China Agr Univ, Coll Forestry & Landscape Architecture, Guangzhou 510642, Peoples R China.
   [Chen, Gengyu] Pubang Landscape Architecture Co Ltd, Guangzhou 510699, Peoples R China.
   [Shen, Jiake; Wang, Yuncai] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China.
C3 South China Agricultural University; Tongji University
RP Wang, YC (corresponding author), Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China.
EM gaowei@scau.edu.cn; dennis_chengy@163.com; riverjfy@hotmail.com;
   jiakeshen1991@tongji.edu.cn; wyc1967@tongji.edu.cn
RI chen, gengyu/JYQ-1884-2024; Wang, Yuncai/W-8509-2019
OI Jiang, Fanying/0000-0002-1717-9700
FU National Natural Science Foundation of China [51708227]; Natural Science
   Foundation of Guangdong Province China [2017A030310461]; National nature
   science foundation of China [51978479]
FX This work was supported by the National Natural Science Foundation of
   China, grant number 51708227, and the National nature science foundation
   of China, grant number 51978479. The Research on database Construction
   of Historic Urban Landscape Features Based on Information Model
   Technology-A case study of Guangzhou of the Natural Science Foundation
   of Guangdong Province China, grant number 2017A030310461.
CR Ahmad SN, 2016, INT J ELECTRON COMM, V20, P76, DOI 10.1080/10864415.2016.1061471
   Alberti M., 2017, Technol. + Des, V1, P135, DOI DOI 10.1080/24751448.2017.1354602
   Arnold CL, 1996, J AM PLANN ASSOC, V62, P243, DOI 10.1080/01944369608975688
   Baron JS, 2002, ECOL APPL, V12, P1247
   Barrientos F, 2021, J CULT HERIT, V49, P250, DOI 10.1016/j.culher.2021.03.009
   Beza BB, 2010, LANDSCAPE URBAN PLAN, V97, P306, DOI 10.1016/j.landurbplan.2010.07.003
   Bloom DE, 2008, SCIENCE, V319, P772, DOI 10.1126/science.1153057
   BRADLEY MM, 1994, J BEHAV THER EXP PSY, V25, P49, DOI 10.1016/0005-7916(94)90063-9
   Cai Y.A., 2001, CANTONESE STYLE FURN, V1st ed., P53
   Cao SY, 2010, J HYDRO-ENVIRON RES, V4, P3, DOI 10.1016/j.jher.2009.09.003
   Cerra JF, 2016, LANDSC J, V35, P37, DOI 10.3368/lj.35.1.37
   Chahardowli M, 2020, ENERGIES, V13, DOI 10.3390/en13112708
   Chu Kochen, 1973, Science in China, P168, DOI DOI 10.1360/YA1973-16-2-226
   DeCandido R, 2007, J TORREY BOT SOC, V134, P552, DOI 10.3159/07-RA-002.1
   Di Giulio M, 2009, J ENVIRON MANAGE, V90, P2959, DOI 10.1016/j.jenvman.2009.05.002
   2001, [No title captured]
   Fakhouri LA, 2017, ARCHNET-IJAR, V11, P190
   Fang X.R., 1977, 100 ODES S CHINA SEA
   Ge QS, 2003, HOLOCENE, V13, P933, DOI 10.1191/0959683603hl680rr
   Ge QS, 2016, J GEOGR SCI, V26, P827, DOI 10.1007/s11442-016-1301-4
   Ginzarly M, 2019, INT J HERIT STUD, V25, P999, DOI 10.1080/13527258.2018.1552615
   Girard LF, 2013, SUSTAINABILITY-BASEL, V5, P4329, DOI 10.3390/su5104329
   Gravagnuolo A, 2017, QUAL INNOV PROSPER, V21, P186, DOI 10.12776/QIP.V21I1.792
   Guzman P, 2020, J CULT HERIT, V46, P320, DOI 10.1016/j.culher.2020.06.017
   Guzman P, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030853
   Hou H, 2020, URBAN FOR URBAN GREE, V53, DOI 10.1016/j.ufug.2020.126719
   Huang F.Y., 1994, RECORDS GUANGZHOU CI, V1st ed.
   Huang L, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030833
   Jeon JY, 2020, BUILD ENVIRON, V169, DOI 10.1016/j.buildenv.2019.106544
   Joohyun Lee, 2014, [Journal of Korean Modern & Contemporary Art History, 한국근현대미술사학(구 한국근대미술사학)], V28, P113
   Jorgenson AK, 2007, SOCIOL INQ, V77, P460, DOI 10.1111/j.1475-682X.2007.00200.x
   Kingsford RT, 2016, AQUAT CONSERV, V26, P892, DOI 10.1002/aqc.2709
   Kwak Y, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094666
   Li C., 2020, Chin Landsc Archit, V36, P76
   Li K, 2006, IRRIG DRAIN, V55, P291, DOI 10.1002/ird.234
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mörtberg U, 2013, URBAN ECOSYST, V16, P763, DOI 10.1007/s11252-012-0270-3
   Müller J, 2016, REFORMING UNITED NAT, V7, P223, DOI 10.1163/9789004242227_005
   Natori Y, 2008, J ENVIRON PSYCHOL, V28, P250, DOI 10.1016/j.jenvp.2008.02.002
   Opdam P, 2018, LANDSCAPE ECOL, V33, P1, DOI 10.1007/s10980-018-0610-7
   OSGOOD Ch. E., 1967, The Measurement of Meaning
   Oudin L, 2018, J HYDROL, V559, P774, DOI 10.1016/j.jhydrol.2018.02.064
   Pham V, 2021, LANDSCAPE ECOL, V36, P1235, DOI 10.1007/s10980-020-01189-0
   Qiu J.C., 1993, ANTIQUITIES CANTON, VVolume 1, P97
   Qu D.J., 1985, GUANGDONG XINYU, P460
   Rodwell D, 2015, J ARCHIT CONSERV, V21, P136, DOI 10.1080/13556207.2015.1055098
   Ruan Y., 1990, GUANGDONG ANN, VVolume 7
   Shamsuddin S, 2012, PROCD SOC BEHV, V50, P238, DOI 10.1016/j.sbspro.2012.08.031
   Song CR, 2015, INT J ENV RES PUB HE, V12, P14216, DOI 10.3390/ijerph121114216
   Styers DM, 2010, LANDSCAPE URBAN PLAN, V94, P158, DOI 10.1016/j.landurbplan.2009.09.006
   Syrbe RU, 2021, LAND-BASEL, V10, DOI 10.3390/land10040341
   Tillman J., 1999, DESIGN HUMAN ECOSYST
   UNESCO (United Nations Educational Scientific and Cultural Organization), P GEN C 36 SESS PAR
   Veldpaus L, 2013, HIST ENVIRON POLICY, V4, P3, DOI 10.1179/1756750513Z.00000000022
   Wei ZD, 2015, REG ENVIRON CHANGE, V15, P1773, DOI 10.1007/s10113-014-0745-2
   Wei ZD, 2015, QUATERNARY RES, V83, P13, DOI 10.1016/j.yqres.2014.11.001
   Wei ZD, 2014, HOLOCENE, V24, P1771, DOI 10.1177/0959683614551224
   Weng QH, 2004, J ENVIRON MANAGE, V70, P145, DOI 10.1016/j.jenvman.2003.11.006
   Wu JY, 2013, HYDROL EARTH SYST SC, V17, P4743, DOI 10.5194/hess-17-4743-2013
   Wu ZJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030787
   Zeng Z.X., 1991, GUANGZHOU HIST GEOGR, V1st ed., P153
   Zhang DD, 2007, P NATL ACAD SCI USA, V104, P19214, DOI 10.1073/pnas.0703073104
   Zhang L, 2021, J CLEAN PROD, V281, DOI 10.1016/j.jclepro.2020.125050
   Zhang LX, 2016, LANDSCAPE URBAN PLAN, V155, P11, DOI 10.1016/j.landurbplan.2016.06.015
   Zhao Y, 2020, INT J SUST DEV WORLD, V27, P292, DOI 10.1080/13504509.2020.1726835
   Zhou HJ, 2011, J URBAN PLAN DEV, V137, P121, DOI 10.1061/(ASCE)UP.1943-5444.0000051
   Zope PE, 2017, NAT HAZARDS, V87, P1267, DOI 10.1007/s11069-017-2816-4
NR 68
TC 1
Z9 1
U1 13
U2 115
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 18
AR 10356
DI 10.3390/su131810356
PG 32
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 UZ3CA
UT WOS:000702085100001
OA gold
DA 2025-04-22
ER

PT J
AU Casali, Y
   Aydin, NY
   Comes, T
AF Casali, Ylenia
   Aydin, Nazli Yonca
   Comes, Tina
TI A data-driven approach to analyse the co-evolution of urban systems
   through a resilience lens: A Helsinki case study
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Co-evolution; spatiotemporal data; Getis-Ord Gi*; road network;
   resilience; recovery
ID SPATIAL ASSOCIATION; LAND-USE; FRAMEWORK; DENSITY; POLICY; MODEL
AB Urban areas are dynamic systems, in which different infrastructural, social and economic subsystems continuously co-evolve. As such, disruptions in one system can propagate to another. However, open challenges remain in (i) assessing the long-term implications of change for resilience and (ii) understanding how resilience propagates throughout urban systems over time. Despite the increasing reliance on data in smart cities, few studies empirically investigate long-term urban co-evolution using data-driven methods, leading to a gap in urban resilience assessments. This paper presents an approach that combines Getis-ord Gi* statistical and correlation analyses to investigate how cities recover from crises and adapt by analysing how the spatial patterns of urban characteristics and their relationships changed over time. We illustrate our approach through a study on Helsinki's road infrastructure, socioeconomic system and built-up area from 1991 to 2016, a period marked by a major socioeconomic crisis. By analysing this case study, we provide insights into the co-evolution over more than two decades, thereby addressing the lack of longitudinal studies on urban resilience.
C1 [Casali, Ylenia; Aydin, Nazli Yonca; Comes, Tina] Basque Ctr Climate Change BC3, Leioa, Spain.
   [Casali, Ylenia] Delft Univ Technol, TPM Resilience Lab, Delft, Netherlands.
   [Aydin, Nazli Yonca] Delft Univ Technol, Fac Technol Policy & Management, Syst Engn Sect, Delft, Netherlands.
   [Comes, Tina] Delft Univ Technol, Fac Technol Policy & Management, Dept Engn Syst & Serv, Delft, Netherlands.
   [Casali, Ylenia] Univ Basque Country, Basque Ctr Climate Change BC3, Sci Campus, Leioa 48940, Spain.
   [Casali, Ylenia] Delft Univ Technol, Dept Technol Policy & Management, Jaffalaan 5, NL-2628 BX Delft, Netherlands.
C3 Basque Centre for Climate Change (BC3); Delft University of Technology;
   Delft University of Technology; Delft University of Technology;
   University of Basque Country; Basque Centre for Climate Change (BC3);
   Delft University of Technology
RP Casali, Y (corresponding author), Univ Basque Country, Basque Ctr Climate Change BC3, Sci Campus, Leioa 48940, Spain.; Casali, Y (corresponding author), Delft Univ Technol, Dept Technol Policy & Management, Jaffalaan 5, NL-2628 BX Delft, Netherlands.
EM ylenia.casali@gmail.com
RI Comes, Tina/AAM-2361-2020; Comes, Tina/G-2076-2016; AYDIN, NAZLI
   YONCA/M-4991-2018
OI Casali, Ylenia/0000-0003-1747-5056; Comes, Tina/0000-0002-8721-8314;
   AYDIN, NAZLI YONCA/0000-0002-9628-8998
FU Delft University of Technology; University of the Basque Country
   (UPV/EHU)
FX The authors would like to extend their gratitude to the University of
   the Basque Country (UPV/EHU) for providing the open-access publishing
   option for this paper. They also express their appreciation to Francien
   Baijanova for her assistance in constructing the spatio-temporal dataset
   used in this research. Authors would like to thank the TPM Resilience
   Lab at TU Delft for the support provided in the development of this
   research.
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Anguelovski I., 2017, ROUTLEDGE HDB ENV JU, P449
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   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
   Barthélemy M, 2011, PHYS REP, V499, P1, DOI 10.1016/j.physrep.2010.11.002
   Barthélemy M, 2009, NETW SPAT ECON, V9, P401, DOI 10.1007/s11067-008-9068-5
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Caldarelli G, 2023, NAT COMPUT SCI, V3, P374, DOI 10.1038/s43588-023-00431-4
   Casali Y, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104050
   Casali Y, 2019, COMPUT ENVIRON URBAN, V75, P244, DOI 10.1016/j.compenvurbsys.2019.01.010
   Champlin C, 2023, CITIES, V135, DOI 10.1016/j.cities.2023.104220
   Chapman R, 2016, ENVIRON INT, V94, P380, DOI 10.1016/j.envint.2016.04.014
   Choi CG, 2019, LAND USE POLICY, V80, P195, DOI 10.1016/j.landusepol.2018.09.027
   City of Helsinki Environmental Report, 2022, ENV ENV REPORT 2022
   Dewinter M, 2022, APPL GEOGR, V143, DOI 10.1016/j.apgeog.2022.102712
   Ding R, 2021, COMPLEXITY, V2021, DOI 10.1155/2021/3467485
   Elgar FJ, 2020, SOC SCI MED, V263, DOI 10.1016/j.socscimed.2020.113365
   Geary R.C., 1954, INCORPORATED STATIST, V5, P115, DOI [10.2307/2986645, DOI 10.2307/2986645]
   GETIS A, 1992, GEOGR ANAL, V24, P189, DOI 10.1111/j.1538-4632.1992.tb00261.x
   Ghosh P, 2020, REG SCI POLICY PRACT, V12, P1047, DOI 10.1111/rsp3.12376
   Goonesekera SM, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109657
   Granqvist K, 2019, EUR PLAN STUD, V27, P739, DOI 10.1080/09654313.2019.1569596
   Hannikainen M. O., 2019, Planning Cities with Nature: Theories, Strategies and Methods, P121, DOI 10.1007/978-3-030-01866-5_9
   Hedman L., 1989, Cities, V6, P289, DOI DOI 10.1016/0264-2751(89)90045-0
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Jones L, 2021, NAT SUSTAIN, V4, P288, DOI 10.1038/s41893-020-00642-x
   Kasraian D, 2020, J TRANSP GEOGR, V84, DOI 10.1016/j.jtrangeo.2020.102696
   Kim Y, 2022, CURR OPIN ENV SUST, V54, DOI 10.1016/j.cosust.2022.101153
   Krishnan S., 2023, RISE UP RESILIENCE U
   Krishnan S, 2024, NPJ URBAN SUSTAIN, V4, DOI 10.1038/s42949-024-00140-5
   Kunz M, 2013, NAT HAZARD EARTH SYS, V13, P2579, DOI 10.5194/nhess-13-2579-2013
   Kurek S, 2021, BULL GEOGR SOCIO-ECO, V52, P123, DOI 10.2478/bog-2021-0018
   Lan T, 2022, APPL GEOGR, V146, DOI 10.1016/j.apgeog.2022.102767
   Leixnering S, 2022, URBAN STUD, V59, P1300, DOI 10.1177/0042098021998923
   Lengyel J, 2023, ENVIRON PLAN B-URBAN, V50, P182, DOI 10.1177/23998083221091569
   Levinson D, 2008, J ECON GEOGR, V8, P55, DOI 10.1093/jeg/lbm038
   Li TF, 2016, NETW SPAT ECON, V16, P579, DOI 10.1007/s11067-015-9289-3
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   McMillen H, 2017, REG ENVIRON CHANGE, V17, P579, DOI 10.1007/s10113-016-1032-1
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mondal R, 2023, REG STUD REG SCI, V10, P763, DOI 10.1080/21681376.2023.2247478
   Mouratidis K, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103229
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Pilli-Sihvola K., 2019, WEATHER CLIMATE CHAN, P32
   Porat I, 2012, APPL SPAT ANAL POLIC, V5, P137, DOI 10.1007/s12061-011-9065-9
   Pregnolato M, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160023
   Raimbault J, 2020, Theories and Models of Urbanization: Geogr Econ Comput Sci, P261
   Rauws W, 2016, ENVIRON PLANN B, V43, P1052, DOI 10.1177/0265813516658886
   Schweitzer Frank, 2016, International Journal of Space Structures, V31, P43, DOI 10.1177/0266351116642075
   Sharifi A, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104910
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Stolk E., 2016, COMPLEXITY COGNITION
   Tiitu M, 2021, EUR PLAN STUD, V29, P1092, DOI 10.1080/09654313.2020.1817865
   Tolle KM, 2011, P IEEE, V99, P1334, DOI 10.1109/JPROC.2011.2155130
   Vaattovaara M, 2003, URBAN STUD, V40, P2127, DOI 10.1080/0042098032000123213
   Yao Y, 2023, CITIES, V138, DOI 10.1016/j.cities.2023.104361
   Yin BJ, 2021, J GEOCHEM EXPLOR, V231, DOI 10.1016/j.gexplo.2021.106872
   Zobel CW, 2021, DECIS SUPPORT SYST, V140, DOI 10.1016/j.dss.2020.113406
NR 61
TC 5
Z9 5
U1 6
U2 22
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 NOV
PY 2024
VL 51
IS 9
BP 2074
EP 2091
DI 10.1177/23998083241235246
EA FEB 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 N0J1R
UT WOS:001173838300001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Tian, C
   Liang, YH
   Jin, XM
   You, DN
   Lin, QQ
AF Tian, Chuang
   Liang, Yahui
   Jin, Xiaoming
   You, Dongni
   Lin, Qiaoqiao
TI Evaluating resilience and risk mitigation strategies in Chinese
   petrochemical port cities
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban resilience; Risk mitigation; Petrochemical industry; Sustainable
   pathways; Multi-scenario simulation; Multi-source data analysis
ID URBAN RESILIENCE; SUSTAINABILITY; PERSPECTIVE; INDUSTRY; THINKING
AB This study employed a multi-source data fusion-driven resilience assessment system and a multiscenario simulation framework to analyze the evolution and key determinants of resilience in Chinese petrochemical port cities (PPCs) from 2006 to 2019. The analysis revealed that, aside from Shanghai and Guangzhou, most cities faced significant petrochemical industry risks, high social vulnerability, poor economic resilience, and weak infrastructure recoverability. Effective strategies for enhancing urban resilience included economic diversification and optimizing ecological conditions. Multi-scenario simulations indicated that PPCs required 2-7 years to achieve high resilience, with green development models being the fastest. The results suggested that pathway selection was crucial, with environmental and economic costs varying significantly across different development modes. These insights provided valuable guidance for policymakers in managing risks and promoting sustainable development in PPCs.
C1 [Tian, Chuang] Dalian Maritime Univ, Coll Transportat Engn, Dalian, Peoples R China.
   [Liang, Yahui] Natl Marine Environm Monitoring Ctr, Dalian, Peoples R China.
   [Jin, Xiaoming; You, Dongni; Lin, Qiaoqiao] Dalian Maritime Univ, Sch Maritime Econ & Management, Dalian, Peoples R China.
C3 Dalian Maritime University; National Marine Environmental Monitoring
   Center; Dalian Maritime University
RP Liang, YH (corresponding author), Natl Marine Environm Monitoring Ctr, Dalian, Peoples R China.
EM yhliang@nmemc.org.cn
FU Youth Program of the National Natural Science Foundation of China
   [42206241]
FX <B>Acknowledgements</B> This work was supported by Youth Program of the
   National Natural Science Foundation of China (No. 42206241) .
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   López-Navarro MA, 2015, BUS STRATEG ENVIRON, V24, P236, DOI 10.1002/bse.1817
   Bernier C, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000309
   Boudet H, 2014, ENERG POLICY, V65, P57, DOI 10.1016/j.enpol.2013.10.017
   Brandt P, 2013, ECOL ECON, V92, P1, DOI 10.1016/j.ecolecon.2013.04.008
   Chaffin BC, 2014, ECOL SOC, V19, DOI 10.5751/ES-06824-190356
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Dai LW, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154318
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gani A, 2021, J CLEAN PROD, V297, DOI 10.1016/j.jclepro.2021.126526
   Gao LA, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104055
   Geels FW, 2022, ENERGY RES SOC SCI, V91, DOI 10.1016/j.erss.2022.102729
   Glaeser EL, 2022, URBAN STUD, V59, P3, DOI 10.1177/00420980211052230
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Gupta AK., 2005, Clean Technologies and Environmental Policy, V7, P133, DOI [10.1007/s10098-004-0266-7, DOI 10.1007/S10098-004-0266-7]
   Hoornweg D, 2012, What a waste: A global review of solid waste management, P1
   Iturriza M, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102688
   Lababidi HMS, 2004, IND ENG CHEM RES, V43, P63, DOI 10.1021/ie030555d
   Luan W.X, 2020, Research on Land and Marine Coordinated Development Strategy of China, P2020
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   McCartney G, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103130
   Meerow S., 2021, Geographic Perspectives on Urban Sustainability, P43, DOI [10.4324/9781003130185, DOI 10.4324/9781003130185]
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mohai P, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115008
   Newman M. E. J., 2010, NETWORKS
   Onuma A, 2018, INT J DISAST RISK RE, V32, P22, DOI 10.1016/j.ijdrr.2018.01.025
   Reyers B, 2022, NAT SUSTAIN, V5, P657, DOI 10.1038/s41893-022-00889-6
   Ross ML, 1999, WORLD POLIT, V51, P297, DOI 10.1017/S0043887100008200
   Samuel VB, 2013, ECOL INDIC, V24, P392, DOI 10.1016/j.ecolind.2012.07.017
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Shinkevich M.V., 2021, Int. J. Energy Econ. Pol., V11, P59
   Skovgaard J, 2023, GLOBAL ENVIRON CHANG, V80, DOI 10.1016/j.gloenvcha.2023.102657
   Sun C.Z., 2022, Basic Theory and Empirical Research on the Sustainable Development of China's Marine Economy
   Tang LN, 2018, INT J SUST DEV WORLD, V25, P387, DOI 10.1080/13504509.2018.1434570
   Tian C, 2024, J CLEAN PROD, V471, DOI 10.1016/j.jclepro.2024.143430
   Townsend A. M., 2013, Smart cities: Big data, civic hackers, and the quest for a new utopia
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   van der Merwe SE, 2018, ECOL SOC, V23, DOI 10.5751/ES-09623-230212
   Wu JH, 2022, OCEAN COAST MANAGE, V217, DOI 10.1016/j.ocecoaman.2021.106016
   Wu QY, 2015, J CLEAN PROD, V107, P324, DOI 10.1016/j.jclepro.2015.03.046
   Xiao Y, 2013, J AM PLANN ASSOC, V79, P148, DOI 10.1080/01944363.2013.882125
   Xu L, 2015, SUSTAIN SCI, V10, P123, DOI 10.1007/s11625-014-0274-4
   Yager R. R., 1999, Soft Computing, V3, P187, DOI 10.1007/s005000050068
   Yager RR, 1996, INT J INTELL SYST, V11, P49, DOI 10.1002/(SICI)1098-111X(199601)11:1<49::AID-INT3>3.3.CO;2-L
   Yang D, 2023, J ENVIRON MANAGE, V335, DOI 10.1016/j.jenvman.2023.117536
   Yazdi M., 2022, Methods in Chemical Process Safety, P389, DOI DOI 10.1016/BS.MCPS.2022.04.005
   Yazdi M, 2020, INT J OCCUP SAF ERGO, V26, P319, DOI 10.1080/10803548.2018.1454636
   Zarei E., 2024, Safety Causation Analysis in Sociotechnical Systems: Advanced Models and Techniques, P487, DOI 10.1007/978-3-031-62470-418
   Zhang LH, 2020, SCI TOTAL ENVIRON, V734, DOI 10.1016/j.scitotenv.2020.139440
   Zhou Y, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102918
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 54
TC 0
Z9 0
U1 15
U2 15
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 2025
VL 116
AR 105076
DI 10.1016/j.ijdrr.2024.105076
EA DEC 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 U4Z3I
UT WOS:001411889800001
DA 2025-04-22
ER

PT J
AU Li, ZJ
   Zhao, H
   Liu, JN
   Zhang, JQ
   Shao, ZG
AF Li, Zhijie
   Zhao, Hui
   Liu, Jinning
   Zhang, Jingqi
   Shao, Zhiguo
TI Evaluation and promotion strategy of resilience of urban water supply
   system under flood and drought disasters
SO SCIENTIFIC REPORTS
LA English
DT Article
ID MANAGEMENT; RESOURCES
AB With global climate change and the rapid urbanization, urban flood and drought disasters are frequent and urban water supply systems are facing a sea of serious challenges. It is crucial to assess the resilience of urban water supply systems and develop corresponding disaster mitigation and improvement strategies. Urban water supply systems include many subsystems, but existing researches generally focus on a single subsystem. Therefore, this paper proposes a correlation analysis method and a factor analysis method for the resilience evaluation index system of urban water supply systems by combining each subsystem and applying grey system theory. The method can reflect the four dimensions of the water supply process (water source, water plant, supply and distribution network and users) and the five dimensions of the urban management system (society, natural environment, economy, physics and organization). Taking Qingdao as an example, a multi-level integrated evaluation model based on a cloud model is applied to simulate and analyze the resilience of Qingdao's water supply system. As a result, decision support is provided for planning and building resilience systems for urban water systems in the short and long term, based on four main factors.
C1 [Li, Zhijie; Zhao, Hui; Liu, Jinning; Zhang, Jingqi; Shao, Zhiguo] Qingdao Univ Technol, Sch Management Engn, Qingdao 266520, Peoples R China.
   [Shao, Zhiguo] Tongji Univ, Sustainable Dev & New Type Urbanizat Think Tank, Shanghai 200092, Peoples R China.
C3 Qingdao University of Technology; Tongji University
RP Zhao, H (corresponding author), Qingdao Univ Technol, Sch Management Engn, Qingdao 266520, Peoples R China.
EM zhaohui930@126.com
RI Zhang, Jingqi/AAE-7997-2022; Liu, Jinning/AGG-9988-2022
OI Zhang, Jingqi/0000-0002-2191-179X; Zhang, Jingqi/0009-0009-4992-9287;
   Shao, Zhiguo/0000-0002-6044-9948
FU National Natural Science Foundation of China [71874123, 71974122,
   71704162]; Humanities and Social Science Research Youth Fund Project of
   Ministry of Education [17YJC630184]; Open Fund of innovation institute
   for Sustainable Maritime Architecture Research and Technology (iSMART);
   Qingdao University of Technology [C2020-043]
FX The authors would like to thank the National Natural Science Foundation
   of China (Grant Nos. 71874123, 71974122 and 71704162); the Humanities
   and Social Science Research Youth Fund Project of Ministry of Education
   (Grant No. 17YJC630184); and Open Fund of innovation institute for
   Sustainable Maritime Architecture Research and Technology (iSMART),
   Qingdao University of Technology (No. C2020-043).
CR [Anonymous], 2020, SCI REPORTS SUMMARIZ
   Balaei B, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000292
   Fang C., 2019, World Reg. Stud, V28, P77, DOI DOI 10.3969/J.ISSN.1004-9479.2019.06.2018403
   FIERING MB, 1982, WATER RESOUR RES, V18, P33, DOI 10.1029/WR018i001p00033
   Gay L. F., 2012, PIPELINES 2012 INNOV, P6169
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   [何金平 He Jinping], 2016, [系统工程理论与实践, Systems Engineering-Theory & Practice], V36, P2977
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Li D., 2005, UNCERTAIN ARTIFICIAL
   [李倩 Li Qian], 2019, [灾害学, Journal of Catastrophology], V34, P83
   Liu J., 2017, MODERN URBAN RES, V9, P32
   Liu JN, 2021, WATER-SUI, V13, DOI 10.3390/w13202939
   Minucci G, 2016, J RISK RES, V19, P847, DOI 10.1080/13669877.2016.1200650
   Pandit A., 2012, Proceedings of the 2012 Critical Infrastructure Symposium, P1
   Pietrucha-Urbanik K, 2013, ENVIRONMENTAL ENGINEERING IV, P29, DOI 10.1201/b14894-6
   Polonenko LM, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.135159
   Qiao JH, 2007, IIE TRANS, V39, P95, DOI 10.1080/07408170600865400
   Short MD, 2012, WATER RESOUR MANAG, V26, P1953, DOI 10.1007/s11269-012-0002-8
   Simonovic SP, 2020, WATER-SUI, V12, DOI 10.3390/w12041208
   [孙鸿鹄 Sun Honghu], 2015, [灾害学, Journal of Catastrophology], V30, P222
   Sweya LN, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000783
   Tanner T, 2009, IDS WORKING PAPERS, V315
   Ulibarri N, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.102005
   Wang Hui., 2017, Urban Plan. Int, V32, P29, DOI [DOI 10.22217/UPI.2017.128, https://doi.org/10.22217/upi.2017.128]
   Xu T., 2015, URBAN PROBL, V4, P2
   [许兆丰 Xu Zhaofeng], 2019, [中国安全科学学报, China Safety Science Journal（CSSJ）], V29, P1
   Yu K.J., 2015, J URBAN PLANNING, V1, P75
   Zhao Si-xiang, 2015, Industrial Engineering and Management, V20, P135
   Zhou LM, 2016, J BEIJING ADM I, V2, P13, DOI DOI 10.16365/J.CNKI.11-4054/D.2016.02.003
NR 30
TC 10
Z9 10
U1 16
U2 85
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD MAY 6
PY 2022
VL 12
IS 1
AR 7404
DI 10.1038/s41598-022-11436-w
PG 21
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 1A5WC
UT WOS:000791825700074
PM 35523918
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Zhang, XF
   Huang, Y
AF Zhang, Xiaofan
   Huang, Yin
TI Spatial evolution, influencing factors and spillover effects of
   logistics resilience in the Yangtze River Economic Belt
SO PLOS ONE
LA English
DT Article
ID SUPPLY CHAIN RESILIENCE; COVID-19; GROWTH
AB Logistics resilience is a significant representation of sustainable development ability and a necessary support for high-quality economic development. In order to explore the influencing factors and realization mechanism of the improvement of logistics resilience of the Yangtze River Economic Belt and the high-quality and sustainable development of the economy, this paper comprehensively considers factors of the supply and demand relationship of the logistics market, industrial structure and ecological environment, and evaluates the urban logistics resilience of the Yangtze River Economic Belt by using POI data and statistical data. Combined with the spatial Durbin model, the influencing factors and spatial spillover effects of inter-city logistics resilience were revealed. This study found that the urban logistics resilience in the lower reaches of the Yangtze River has been high. Except Chongqing and Shanghai, the COVID-19 epidemic happened in 2020 led to a significant decrease in logistics resilience. In the meanwhile, every 1% increase in the logistics resilience of the city will promote the logistics resilience of the adjacent cities by 0.145%. Economic condition and urban development potential have positive effects on logistics resilience of the city and its adjacent cities. The economic condition has a direct effect coefficient of 0.166 and an indirect effect coefficient of 0.181, The direct and indirect effects of urban development potential are significantly positive, and the coefficients are 0.001 and 0.006, respectively. The level of information, government support and ability of technological innovation are helpful for the improvement of urban logistics resilience while hindering the enhancement of logistics resilience in adjacent cities. The research area can be extended in the future and more influencing factors can be considered in the future.
C1 [Zhang, Xiaofan; Huang, Yin] Cent South Univ Forestry & Technol, Sch Logist, Changsha, Hunan, Peoples R China.
C3 Central South University of Forestry & Technology
RP Huang, Y (corresponding author), Cent South Univ Forestry & Technol, Sch Logist, Changsha, Hunan, Peoples R China.
EM share0122@126.com
RI Zhang, Xiaofan/HKN-0924-2023
OI Zhang, Xiaofan/0000-0001-5618-7554
FU National Natural Science Foundation of China [72174214]; Key Project of
   Scientific Research of Department of Education of Hunan Province
   [21A0156]; Hunan Provincial Innovation Foundation for Postgraduate
   [CX20220737]
FX This study was supported by the National Natural Science Foundation of
   China (Grant no.72174214, to Yin Huang); Key Project of Scientific
   Research of Department of Education of Hunan Province (Grant no.
   21A0156, to Yin Huang); and the Hunan Provincial Innovation Foundation
   for Postgraduate (Grant no. CX20220737, to Xiaofan Zhang). The funders
   had no role in study design, data collection and analysis, decision to
   publish, or preparation of the manuscript.
CR Argyroudis SA, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136854
   Bak O, 2023, IEEE T ENG MANAGE, V70, P328, DOI 10.1109/TEM.2020.3016988
   Barroso A. P., 2011, Supply Chain Management, P161
   Brandon-Jones E, 2014, J SUPPLY CHAIN MANAG, V50, P55, DOI 10.1111/jscm.12050
   [曹炳汝 Cao Bingru], 2016, [地理与地理信息科学, Geography and Geo-information Science], V32, P105
   Cao C., 2018, Methods and Applications, DOI [10.1155/2018/9187541, DOI 10.1155/2018/9187541]
   Chen LW, 2020, RELIAB ENG SYST SAFE, V199, DOI 10.1016/j.ress.2020.106869
   [陈梦远 Chen Mengyuan], 2017, [地理科学进展, Progress in Geography], V36, P1435
   Choi TM, 2021, TRANSPORT RES E-LOG, V145, DOI 10.1016/j.tre.2020.102190
   Christopher M., 2004, INT J LOGIST MANAG, V15, P1, DOI DOI 10.1108/09574090410700275
   Cui ZW, 2022, TRANSPORT POLICY, V120, P11, DOI 10.1016/j.tranpol.2022.03.002
   Ding SP., 2018, Statistics Decision, V15, P154
   Du W, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0263565
   Du ZW, 2019, J GEOGR SCI, V29, P1331, DOI 10.1007/s11442-019-1662-6
   Falasca M., 2008, Proceedings of the 5th International ISCRAM Conference, (May 2008), P596
   Fang D. C., 2015, ECON GEOGR, V35, P76, DOI DOI 10.15957/J.CNKI.JJDL.2015.01.011
   Feng Y, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104273
   Feng YY., 2020, Market Modernization, V17, P36
   Gaonkar RS, 2007, IEEE T AUTOM SCI ENG, V4, P265, DOI 10.1109/TASE.2006.880540
   Ge X, 2020, J INTELL FUZZY SYST, V38, P6991, DOI 10.3233/JIFS-179777
   Gong X., 2021, Ecological Economy, V37, P101
   Gong Y, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13095167
   Guo X., 2021, Logistics Technology, V8, P100
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   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]
   Huck A, 2020, CITIES, V98, DOI 10.1016/j.cities.2019.102573
   Jin FH., 2022, Statistics Decision, V4, P102
   Jing XQ., 2021, Development of the Yangtze River Economic Belt in China
   Ketudat S., 2021, Eng. Manag. Prod. Serv, V13, P86, DOI DOI 10.2478/EMJ-2021-0023
   Lee CC, 2022, TRANSPORT RES D-TR E, V113, DOI 10.1016/j.trd.2022.103496
   Lemke MK, 2020, J OCCUP ENVIRON MED, V62, pE537, DOI 10.1097/JOM.0000000000001940
   LeSage JP, 2008, J REGIONAL SCI, V48, P941, DOI 10.1111/j.1467-9787.2008.00573.x
   Li YQ., 2020, Business Economics Research, V24, P179
   Liu J., 2015, J. Syst. Manag, V24, P617
   Liu L., 2016, Chinese Journal of Management Science, V24, P163, DOI [10.16381/j.cnki.issn1003-207x.2016.07.020, DOI 10.16381/J.CNKI.ISSN1003-207X.2016.07.020]
   Liu WH, 2022, INT J LOGIST-RES APP, V25, P965, DOI 10.1080/13675567.2020.1837760
   Liu WQ, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12060759
   Maharjan R, 2023, LOGISTICS-BASEL, V7, DOI 10.3390/logistics7020027
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mena C, 2022, J BUS RES, V138, P77, DOI 10.1016/j.jbusres.2021.08.064
   Modica M, 2015, NETW SPAT ECON, V15, P211, DOI 10.1007/s11067-014-9261-7
   OZERNOY VM, 1992, INFOR, V30, P159
   Panzeri A, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0256041
   [彭翀 Peng Chong], 2015, [城市规划学刊, Urban Planning Forum], P84
   Pettit TJ, 2010, J BUS LOGIST, V31, P1, DOI 10.1002/j.2158-1592.2010.tb00125.x
   Ponomarov SY, 2009, INT J LOGIST MANAG, V20, P124, DOI 10.1108/09574090910954873
   Psyllidis A, 2022, COMPUT URBAN SCI, V2, DOI 10.1007/s43762-022-00047-w
   Purvis L, 2016, PROD PLAN CONTROL, V27, P579, DOI 10.1080/09537287.2016.1165306
   Sezer MD, 2023, OPER MANAGE RES, V16, P1220, DOI 10.1007/s12063-023-00391-y
   Shang WL, 2020, IEEE ACCESS, V8, P104458, DOI 10.1109/ACCESS.2020.2999129
   Shee HK, 2021, INT J LOGIST MANAG, V32, P821, DOI 10.1108/IJLM-07-2020-0282
   Singh S, 2021, INT J PROD RES, V59, P1993, DOI 10.1080/00207543.2020.1792000
   STEWART TJ, 1992, OMEGA-INT J MANAGE S, V20, P569, DOI 10.1016/0305-0483(92)90003-P
   Sun CW, 2018, ECOL INDIC, V89, P150, DOI 10.1016/j.ecolind.2018.02.011
   Tang C.S., 2006, Int. J. Logist. Res. Appl, V9, P33, DOI [10.1080/13675560500405584, DOI 10.1080/13675560500405584]
   Tang JR., 2016, Journal of Beijing Jiaotong University (Social Sciences Edition), V1, P122
   Teng T., 2016, Econ. Geogr., V36, P92
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Vanchan V, 2018, GROWTH CHANGE, V49, P97, DOI 10.1111/grow.12224
   Wang HW, 2020, TRANSPORT RES C-EMER, V115, DOI 10.1016/j.trc.2020.102619
   [王倩 Wang Qian], 2020, [地理与地理信息科学, Geography and Geo-information Science], V36, P113
   Wang SY., 2015, Economic Geography, V35, P61
   Xie SX., 2021, Price:Theory Practice, V10, P152
   Xu CY., 2021, Journal of Anhui University of Technology (Social Sciences Edition), V23, P12
   Xu X., 2023, Resour. Environ. Data Cloud Platf, DOI [10.12078/2023010102, DOI 10.12078/2023010102, 10.1162/neco.1997.9.8.1735, DOI 10.1162/NECO.1997.9.8.1735]
   [严翔 Yan Xiang], 2018, [经济地理, Economic Geography], V38, P16
   Yang SY, 2021, TRANSPORT POLICY, V111, P111, DOI 10.1016/j.tranpol.2021.07.012
   Ye C, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095298
   Yeung HWC, 2021, ENVIRON PLANN A, V53, P428, DOI 10.1177/0308518X20972720
   [余金艳 Yu Jinyan], 2021, [地理研究, Geographical Research], V40, P3333
   Yuan L, 2024, J CLEAN PROD, V438, DOI 10.1016/j.jclepro.2024.140823
   Yuan L, 2023, ECOL INDIC, V153, DOI 10.1016/j.ecolind.2023.110399
   Yuan L, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.882221
   Zaczyk M., 2020, The resilience of social logistics systemsintroduction, DOI [10.29119/1641-3466.2020.146.39, DOI 10.29119/1641-3466.2020.146.39]
   Zhang D., 2014, Economic Geography, V34, P103
   Zhang JC., 2018, Management World, V8, P180
   Zhang MD, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0260214
   Zhang XF, 2022, INT J SUST DEV WORLD, V29, P858, DOI 10.1080/13504509.2022.2108928
   Zhao NY, 2023, INT J PROD ECON, V259, DOI 10.1016/j.ijpe.2023.108817
   Zhou JP., 2020, Hangzhou: Zhejiang University of Technology
   Zhou N., 2021, Journal of Chongqing University (Social Science Edition), DOI [10.11835/j.issn.1008-5831.jg.2021.09.003, DOI 10.11835/J.ISSN.1008-5831.JG.2021.09.003]
NR 81
TC 0
Z9 0
U1 31
U2 36
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 AUG 22
PY 2024
VL 19
IS 8
AR e0303639
DI 10.1371/journal.pone.0303639
PG 27
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA D5O1N
UT WOS:001296663800078
PM 39173053
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Li, ZM
   Zhang, XX
   Ma, YF
   Feng, CY
   Hajiyev, A
AF Li, Zongmin
   Zhang, Xinxin
   Ma, Yanfang
   Feng, Cuiying
   Hajiyev, Asaf
TI A multi-criteria decision making method for urban flood resilience
   evaluation with hybrid uncertainties
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban Flood Resilience; Hesitant fuzzy VIKOR; Information aggregation;
   Multi-criteria decision making
ID GREEN INFRASTRUCTURE; SUSTAINABILITY; VULNERABILITY; MANAGEMENT; SYSTEM;
   CITIES
AB Urbanization and climate change have increased the frequency of damaging urban floods. While some urban floods are inevitable, it is critical to ensure urban flood resilience to minimize flood losses. This paper develops an urban flood resilience evaluation system that can provide guidance for municipal decision makers. This study first builds a comprehensive flood resilience evaluation system with the whole period of the disaster cycle that covers the resistance capacity before a flood, the coping and recovery capacities during a flood, and the adaptive capacity after a flood. The proposed evaluation system includes hybrid uncertain information that involves hesitant fuzzy judgements from experts and random data. Then, to conquer the weighting difficulty, a maximum consensus model for experts' weights is proposed. After that, the traditional VIKOR method is expanded to aggregate all crisp, random and hesitant fuzzy information, so that, the aggregation method is more adaptive to hybrid uncertain environment. In addition, the proposed method is applied to 5 south-eastern coastal cities in P.R.China. Practical managerial suggestions are put forward to increase urban flood resilience in these cities. Finally, the sensitivity analysis for the results and the comparison analysis are conducted.
C1 [Li, Zongmin; Zhang, Xinxin] Sichuan Univ, Business Sch, Chengdu 610064, Sichuan, Peoples R China.
   [Ma, Yanfang] Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China.
   [Feng, Cuiying] Zhejiang Univ Technol, Sch Management, Hangzhou 310023, Zhejiang, Peoples R China.
   [Hajiyev, Asaf] Azerbaijan Natl Acad Sci, Baku, Azerbaijan.
C3 Sichuan University; Hebei University of Technology; Zhejiang University
   of Technology; Azerbaijan National Academy of Sciences (ANAS)
RP Feng, CY (corresponding author), Zhejiang Univ Technol, Sch Management, Hangzhou 310023, Zhejiang, Peoples R China.
EM fengcuiying@zjut.edu.cn
RI Zhang, Xinxin/HZJ-1742-2023
FU National Natural Science Foundation of China [71601134, 71640013,
   71702167]; China Postdoctoral Science Foundation [2017M612983,
   2018T110609]
FX We are thankful for financial support from the National Natural Science
   Foundation of China (Grant No. 71601134, No. 71640013, No. 71702167),
   China Postdoctoral Science Foundation (Grant No. 2017M612983, Grant No.
   2018T110609).
CR Amirebrahimi S, 2016, INT J DIGIT EARTH, V9, P363, DOI 10.1080/17538947.2015.1034201
   [Anonymous], 2017, FUZH STAT YB
   [Anonymous], 2017, NANJ STAT YB
   [Anonymous], 2015, SEND FRAM DIS RISK R
   [Anonymous], 2017, NINGB STAT YB
   [Anonymous], 2017, Shanghai Statistical Yearbook
   [Anonymous], 2019, J COMPUT ANAL APPL
   [Anonymous], 2017, GUANGZH STAT YB
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Borujeni Mohammad Panahi, 2017, Journal of Sustainable Mining, V16, P207, DOI 10.1016/j.jsm.2017.12.006
   Cai H, 2018, ANN AM ASSOC GEOGR, V108, P1260, DOI 10.1080/24694452.2017.1421896
   Casal-Campos A, 2018, ENVIRON SCI TECHNOL, V52, P9008, DOI 10.1021/acs.est.8b01193
   Chang CL, 2010, ENVIRON MONIT ASSESS, V168, P339, DOI 10.1007/s10661-009-1117-0
   Chen A. S., 2018, UK PROCEDIA ENG, V212, P809
   Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003
   Elmqvist T, 2017, NATURE, V546, P352, DOI 10.1038/546352d
   EM-DAT, 2018, THE OFDA CRED INTERN
   Espada R, 2017, INT J DISASTER RESIL, V8, P375, DOI 10.1108/IJDRBE-03-2015-0010
   Farley JM, 2017, GLOBAL HEALTH ACTION, V10, DOI 10.1080/16549716.2017.1331539
   Gitinavard Hossein, 2017, International Journal of Applied Decision Sciences, V10, P213
   Gitinavard H, 2016, NEURAL COMPUT APPL, V27, P1593, DOI 10.1007/s00521-015-1958-0
   Holling CS, 1996, ECOL APPL, V6, P733, DOI 10.2307/2269475
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Jelena B., 2015, METHODOLOGY FLOOD RE
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   Kabir G, 2018, INT J MANAG SCI ENG, V13, P91, DOI 10.1080/17509653.2017.1312583
   Li ZM, 2019, OMEGA-INT J MANAGE S, V83, P223, DOI 10.1016/j.omega.2018.06.003
   Li ZM, 2017, APPL COMPUT MATH-BAK, V16, P296
   Li ZM, 2015, OMEGA-INT J MANAGE S, V57, P282, DOI 10.1016/j.omega.2015.09.001
   Liao HC, 2018, IEEE T FUZZY SYST, V26, P3793, DOI 10.1109/TFUZZ.2018.2849368
   Liao HC, 2015, IEEE T FUZZY SYST, V23, P1343, DOI 10.1109/TFUZZ.2014.2360556
   Liao HC, 2013, FUZZY OPTIM DECIS MA, V12, P373, DOI 10.1007/s10700-013-9162-0
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Lin KHE, 2017, NAT HAZARDS, V88, P1229, DOI 10.1007/s11069-017-2916-1
   Malilay J, 2014, AM J PUBLIC HEALTH, V104, P2092, DOI 10.2105/AJPH.2014.302010
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   Mei C, 2018, SCI TOTAL ENVIRON, V639, P1394, DOI 10.1016/j.scitotenv.2018.05.199
   Moghaddam R. T., 2015, INT C GROUP DEC NEG
   Thuong NTH, 2018, INT J MANAG SCI ENG, V13, P254, DOI 10.1080/17509653.2017.1421107
   Noshad K, 2018, INT J MANAG SCI ENG, V13, P215, DOI 10.1080/17509653.2017.1387821
   Ogie RI, 2018, COMPUT ENVIRON URBAN, V68, P97, DOI 10.1016/j.compenvurbsys.2017.11.004
   Oladokun VO, 2017, INT J BUILD PATHOL, V35, P470, DOI 10.1108/IJBPA-12-2016-0029
   Opricovic S, 2011, EXPERT SYST APPL, V38, P12983, DOI 10.1016/j.eswa.2011.04.097
   Ren ZL, 2017, INFORM SCIENCES, V388, P1, DOI 10.1016/j.ins.2017.01.024
   Rodríguez RM, 2012, IEEE T FUZZY SYST, V20, P109, DOI 10.1109/TFUZZ.2011.2170076
   Rodriguez-Nikl T, 2015, CIV ENG ENVIRON SYST, V32, P157, DOI 10.1080/10286608.2015.1025386
   Sahu AK, 2016, BENCHMARKING, V23, P651, DOI 10.1108/BIJ-11-2014-0109
   Sajjad M, 2018, EARTHS FUTURE, V6, P326, DOI 10.1002/2017EF000676
   Song K, 2018, ENVIRON POLLUT, V242, P1970, DOI 10.1016/j.envpol.2018.07.057
   Su HT, 2018, STOCH ENV RES RISK A, V32, P1147, DOI 10.1007/s00477-017-1508-7
   Tang WY, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010138
   Tauhid FA, 2018, J REG CITY PLAN, V29, P98, DOI 10.5614/jrcp.2018.29.2.2
   Thieken AH, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR004177
   Wu CL, 2018, HABITAT INT, V75, P78, DOI 10.1016/j.habitatint.2018.04.009
   Wu ZB, 2018, APPL SOFT COMPUT, V67, P691, DOI 10.1016/j.asoc.2017.06.011
   Xiao Y, 2013, J AM PLANN ASSOC, V79, P148, DOI 10.1080/01944363.2013.882125
   Xu ZS, 2013, KNOWL-BASED SYST, V52, P53, DOI 10.1016/j.knosys.2013.05.011
   Yazdi J, 2018, WATER RESOUR MANAG, V32, P721, DOI 10.1007/s11269-017-1835-y
   Zahmatkesh Z, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-6282-y
   Zanuttigh B, 2014, COAST ENG, V87, P218, DOI 10.1016/j.coastaleng.2013.11.013
NR 60
TC 65
Z9 72
U1 20
U2 184
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD MAY
PY 2019
VL 36
AR 101140
DI 10.1016/j.ijdrr.2019.101140
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 HW2EX
UT WOS:000466496900029
DA 2025-04-22
ER

PT J
AU Asibey, MO
   Mintah, F
   Adutwum, IO
   Wireko-Gyebi, RS
   Tagnan, JN
   Yevugah, LL
   Agyeman, KO
   Abdul-Salam, AJ
AF Asibey, Michael Osei
   Mintah, Frank
   Adutwum, Isaac Osei
   Wireko-Gyebi, Rejoice Selorm
   Tagnan, Jacob Nchagmado
   Yevugah, Lily Lisa
   Agyeman, Kwasi Osei
   Abdul-Salam, Abdulai Jahanfo
TI Beyond rhetoric: urban planning-climate change resilience conundrum in
   Accra, Ghana
SO CITIES
LA English
DT Article
DE Accra; Adaptation; Climate change; Flooding; Urbanisation; Urban
   planning
ID ADAPTATION; INSTITUTIONS
AB Urban planning remains an important tool in managing climate change impacts. It also remains crucial in building sustainable adaptive capacities, particularly in cities of the global north. It however remains largely unknown in urban Africa about planning agencies' perspectives on climate change adaptation-urban planning conundrum, and corresponding policy responses. This paper thus examines urban planners' perspectives and planning responses on managing climate change impacts and building adaptive capacities in Accra, Ghana. Using a review of four relevant urban planning and climate change policies, and interviews with five urban planning agencies in Accra, findings indicate that urban planning regimes are less efficient, more reactionary, and unsustainable in building resilience and adaptive capacities to climate change impacts. The findings show evidence of weak institutional and stakeholder coordination, inadequate funds and institutional logistics and human capacity, which have contributed to the inability to manage 'normal' climate change impacts such as floods and build resilience to them. The paper concludes with suggestions for building resilience to climate change impacts and incorporating adaptation concerns into urban planning efforts in Ghana.
C1 [Asibey, Michael Osei; Adutwum, Isaac Osei; Tagnan, Jacob Nchagmado] KNUST, Coll Art & Built Environm, Fac Built Environm, Dept Planning, Kumasi, Ghana.
   [Mintah, Frank] Univ Bern, Inst Geog, CH-3012 Bern, Switzerland.
   [Wireko-Gyebi, Rejoice Selorm] Univ Energy & Nat Resources, Dept Planning & Sustainabil, Sunyani, Ghana.
   [Yevugah, Lily Lisa] Univ Energy & Nat Resources, Dept Geosci, Sunyani, Ghana.
   [Agyeman, Kwasi Osei] Christian Serv Univ Coll, Dept Planning & Dev, Kumasi, Ghana.
   [Abdul-Salam, Abdulai Jahanfo] Ohio Univ, Dept Geog, Athens, OH USA.
C3 Kwame Nkrumah University Science & Technology; University of Bern;
   University System of Ohio; Ohio University
RP Asibey, MO (corresponding author), KNUST, Coll Art & Built Environm, Fac Built Environm, Dept Planning, Kumasi, Ghana.
EM asibeymichael@yahoo.com; lily.yevugah@uenr.edu.gh;
   koseiagyeman@csuc.edu.gh; aa512821@ohio.edu
RI Wireko-Gyebi, Rejoice/AAU-2095-2021; Yevugah, Lily Lisa/AAX-3053-2021;
   Asibey, Michael Osei/P-2396-2016
OI Asibey, Michael Osei/0000-0002-5534-2695; Tagnan,
   Jacob/0000-0003-4417-1269
CR Abeka E.A., 2014, THESIS U GHANA
   Accra Metropolitan Assembly, 2018, 2018 2022 METR MED T
   Addo KA, 2013, JAMBA-J DISASTER RIS, V5, DOI 10.4102/jamba.v5i1.60
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal Arun., 2008, ROLE LOCAL I ADAPTAT, DOI DOI 10.1596/28274
   Agrawala S, 2004, IDS BULL-I DEV STUD, V35, P50, DOI 10.1111/j.1759-5436.2004.tb00134.x
   Amoako C, 2018, URBAN STUD, V55, P2903, DOI 10.1177/0042098016686526
   Amoako C, 2015, INT J URBAN SUSTAIN, V7, P109, DOI 10.1080/19463138.2014.984720
   Amoani KY, 2012, JAMBA-J DISASTER RIS, V4, DOI 10.4102/jamba.v4i1.45
   [Anonymous], 2015, ADB Economics Working Papers
   [Anonymous], 2015, GHAN INT NAT DET CON
   Asian Development Bank, 2013, RIS NAT DIS AS PAC L
   Asibey M.O., 2022, The Palgrave Handbook of Global Sustainability, DOI [10.1007/978-3-030-38948-2_23-1, DOI 10.1007/978-3-030-38948-2_23-1, 10.1007/978-3-030-38948-223-1]
   Asiedu-Danquah K, 2015, MANAGING SAME TIME T
   Attipoe S., 2014, ASSESSMENT FLOOD MIT
   Baker JL, 2012, URB DEV SER, P1, DOI 10.1596/978-0-8213-8845-7
   Bicknell J., 2009, Adapting Cities to Climate Change: Understanding and Addressing the Development Challenges
   Butler J. A, 2013, GLOBAL ENVIRON CHANG, P368
   Chambwera M., 2010, CLIMATE CHANGE ADAPT, P1
   Cobbinah P.B., 2019, The Geography of Climate Change Adaptation in Urban Africa
   Cobbinah P.B., 2019, The Geography of Climate Change Adaptation in Urban Africa, P89, DOI [10.1007/978-3-030-04873-04, DOI 10.1007/978-3-030-04873-04, 10.1007/978-3-030-04873-0_4]
   Cobbinah PB, 2022, ENVIRON SCI POLICY, V128, P336, DOI 10.1016/j.envsci.2021.12.008
   Cobbinah PB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104948
   Cobbinah PB, 2019, J URBAN MANAG, V8, P261, DOI 10.1016/j.jum.2019.02.002
   Cobbinah PB, 2017, ENVIRON DEV, V23, P33, DOI 10.1016/j.envdev.2017.05.001
   Cobbinah PB, 2017, GEOJOURNAL, V82, P1229, DOI 10.1007/s10708-016-9750-y
   Cobbinah PB, 2016, CLIM DEV, V8, P169, DOI 10.1080/17565529.2015.1034228
   Cobbinah PB, 2015, CITIES, V47, P62, DOI 10.1016/j.cities.2015.03.013
   Cobbinah PatrickBrandful., 2019, The Geography of Climate Change Adaptation in Urban Africa, P421
   Darkwah R. M, 2016, THESIS KWAME NKRUMAH
   Darkwah RM, 2018, GEOFORUM, V94, P12, DOI 10.1016/j.geoforum.2018.05.023
   Deuskar C, 2019, J PLAN LIT, V34, P395, DOI 10.1177/0885412219842520
   Field C.B., 2012, SPECIAL REPORT IPCC
   Frimpong A., 2014, Afr Soc Sci Rev, V6
   Ghana Statistical Service, 2014, 2010 Population & Housing Census: Accra Metropolitan District Analytical Report
   Government of Ghana, 2012, NAT URB POL FRAM
   Hossain Z., 2014, THESIS HERIOT WATT U
   IPCC, 2012, Managing the Risk of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change
   Korah ProsperIssahaku., 2019, The Geography of Climate Change Adaptation in Urban Africa, P451, DOI DOI 10.1007/978-3-030-04873-016
   MEST, 2012, GHAN NAT CLIM CHANG
   Ministry of Local Government and Rural Development (MLGRD), 2012, GHAN NAT URB POL FRA
   Moench M., 2004, Adaptive capacity and livelihood resilience-Adaptive strategies for responding to floods and droughts in South Asia
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mubaya CP, 2017, CLIM RISK MANAG, V16, P93, DOI 10.1016/j.crm.2017.03.003
   Munich R E, 2015, LOSS EVENTS WORLDWID
   Obeng-Odoom F, 2017, GROWTH CHANGE, V48, P4, DOI 10.1111/grow.12164
   Okyere C.Y., 2013, Theoret Empir Res Urban Manag, V8, P45
   Owusu-Ansah JK, 2016, GEOJOURNAL, V81, P555, DOI 10.1007/s10708-015-9636-4
   Paller JW, 2021, AREA DEV POLICY, V6, P319, DOI 10.1080/23792949.2020.1799716
   Paller JW, 2019, DEMOCRACY IN GHANA: EVERYDAY POLITICS IN URBAN AFRICA, P1, DOI 10.1017/9781108578721
   Poku-Boansi M, 2020, CITY ENVIRON INTERAC, V5, DOI 10.1016/j.cacint.2020.100038
   Portner H. -O., 2019, CLIMATE CHANGE LAND
   Rajiv R, 2015, FOCUS CLIMATE CHANGE
   SMITH B, 2001, ADAPTATION CLIMATE C
   UNISDR, 2013, DIS IMP 2000 2012
   United Nations, 2015, HUM COST WEATH REL D
   United Nations Framework Convention on Climate Change, 2007, CLIMATE CHANGE IMPAC
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
   World Bank, 2015, RISING CIT GHAN
   Yiannakou A, 2017, SUSTAINABILITY-BASEL, P1
NR 60
TC 23
Z9 23
U1 10
U2 39
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD DEC
PY 2022
VL 131
AR 103950
DI 10.1016/j.cities.2022.103950
EA AUG 2022
PG 12
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 4U2NR
UT WOS:000858637500007
DA 2025-04-22
ER

PT J
AU Ji, T
   Yao, YH
   Dou, Y
   Deng, SJ
   Yu, SJ
   Zhu, YQ
   Liao, HJ
AF Ji, Tao
   Yao, Yanhong
   Dou, Yue
   Deng, Shejun
   Yu, Shijun
   Zhu, Yunqiang
   Liao, Huajun
TI The Impact of Climate Change on Urban Transportation Resilience to
   Compound Extreme Events
SO SUSTAINABILITY
LA English
DT Review
DE transportation resilience; compound extreme weather events; climate
   change; spatiotemporal dynamic evolution; future trends
ID DEEP LEARNING APPROACH; NETWORK RESILIENCE; SYSTEM RESILIENCE; FLOW
   PREDICTION; NEURAL-NETWORKS; ROAD TRANSPORT; VULNERABILITY;
   INFRASTRUCTURE; FRAMEWORK; RECOVERY
AB Global warming, sea-level rise, and rapid urbanization all increase the risk of compound extreme weather events, presenting challenges for the operation of urban-related infrastructure, including transportation infrastructure. In this context, some questions become important. For example, what are the temporal and spatial distribution and development trends of transportation resilience when considering the impact of multilpe extreme weather events on the urban transportation system? What is the degree of loss of urban transportation resilience (UT resilience) under different extreme event intensities, and how long will it take for the entire system to restore balance? In the future, if extreme weather events become more frequent and intense, what trends will urban transportation resilience show? Considering these problems, the current monitoring methods for transportation resilience under the influence of extreme events are lacking, especially the monitoring of the temporal and spatial dynamic changes of transportation resilience under the influence of compined extreme events. The development of big data mining technology and deep learning methods for spatiotemporal predictions made the construction of spatiotemporal data sets for evaluating and predicting UT resilience-intensity indicators possible. Such data sets reveal the temporal and spatial features and evolution of UT resilience intensity under the influence of compound extreme weather events, as well as the related future change trends. They indicate the key research areas that should be focused on, namely, the transportation resilience under climate warming. This work is especially important in planning efforts to adapt to climate change and rising sea levels and is relevant to policymakers, traffic managers, civil protection managers, and the general public.
C1 [Ji, Tao; Yao, Yanhong; Dou, Yue; Deng, Shejun; Yu, Shijun] Yangzhou Univ, Coll Architectural Sci & Engn, Yangzhou 225127, Jiangsu, Peoples R China.
   [Ji, Tao; Zhu, Yunqiang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Liao, Huajun] SuperMap Software Co Ltd, Beijing 100015, Peoples R China.
C3 Yangzhou University; Chinese Academy of Sciences; Institute of
   Geographic Sciences & Natural Resources Research, CAS
RP Ji, T (corresponding author), Yangzhou Univ, Coll Architectural Sci & Engn, Yangzhou 225127, Jiangsu, Peoples R China.; Ji, T; Zhu, YQ (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
EM jitao@yzu.edu.cn; Yaoyanhong1250@126.com; dy_DouYue@126.com;
   dsj@yzu.edu.cn; yushijun2011@163.com; zhuyq@lreis.ac.cn;
   liaohuajun@supermap.com
RI Dou, Yue/AAY-4532-2020
OI ji, tao/0000-0002-6157-2606
FU Natural Science Foundation of Jiangsu Province [BK20210833]; China
   Postdoctoral Science Foundation [2021M703175]; Humanities and Social
   Science Research Planning Fund Project [19YJC630007]
FX This research was funded by the Natural Science Foundation of Jiangsu
   Province, grant number BK20210833; China Postdoctoral Science
   Foundation, grant number 2021M703175; and Humanities and Social Science
   Research Planning Fund Project, grant number 19YJC630007.
CR Adjeteybahun K., 2016, P NETW OP MAN S IST
   Akbari H, 2009, CLIMATIC CHANGE, V94, P275, DOI 10.1007/s10584-008-9515-9
   Aksu DT, 2014, TRANSPORT RES E-LOG, V61, P56, DOI 10.1016/j.tre.2013.10.009
   Alipour A, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001399
   Asaeda T, 1996, ATMOS ENVIRON, V30, P413, DOI 10.1016/1352-2310(94)00140-5
   Aydin NY, 2018, INT J DISAST RISK RE, V31, P832, DOI 10.1016/j.ijdrr.2018.07.022
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Azadeh A, 2014, INT J LOGIST-RES APP, V17, P269, DOI 10.1080/13675567.2013.846308
   Balakrishnan S, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101565
   Balijepalli C, 2014, J TRANSP GEOGR, V39, P145, DOI 10.1016/j.jtrangeo.2014.06.025
   Bollinger LA, 2014, REG ENVIRON CHANGE, V14, P919, DOI 10.1007/s10113-013-0428-4
   Calvert SC, 2018, TRANSPORTMETRICA A, V14, P130, DOI 10.1080/23249935.2017.1363315
   Camp J, 2013, J INFRASTRUCT SYST, V19, P363, DOI 10.1061/(ASCE)IS.1943-555X.0000151
   Cao M, 2015, ADV INTEL SYS RES, V124, P1127
   Chan R, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000200
   Chester MV, 2019, SUSTAIN RESIL INFRAS, V4, P173, DOI 10.1080/23789689.2017.1416846
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Deloukas A, 2017, TRANSP RES PROC, V24, P459, DOI 10.1016/j.trpro.2017.05.082
   Donovan B, 2017, TRANSPORT RES C-EMER, V79, P333, DOI 10.1016/j.trc.2017.03.002
   Duan M., 2016, American Journal of Civil Engineering, V4, P174, DOI [10.11648/j.ajce.20160404.17, DOI 10.11648/J.AJCE.20160404.17]
   El Rashidy RAH, 2019, P I CIVIL ENG-TRANSP, V172, P174, DOI 10.1680/jtran.16.00139
   Engler E, 2018, TRANSP PROBL, V13, P81, DOI 10.21307/tp.2018.13.1.8
   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
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gonçalves LAPJ, 2020, J TRANSP GEOGR, V85, DOI 10.1016/j.jtrangeo.2020.102727
   Guo SN, 2019, IEEE T INTELL TRANSP, V20, P3913, DOI 10.1109/TITS.2019.2906365
   Hao SY, 2019, TRANSPORT RES C-EMER, V107, P287, DOI 10.1016/j.trc.2019.08.005
   Hao ZC, 2020, J HYDROL ENG, V25, DOI 10.1061/(ASCE)HE.1943-5584.0001991
   Hao ZC, 2018, J HYDROL, V565, P87, DOI 10.1016/j.jhydrol.2018.08.025
   Hartmann DL, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P159
   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
   Huang XL, 2018, TRANSPORT RES C-EMER, V95, P346, DOI 10.1016/j.trc.2018.07.022
   Ilbeigi M, 2019, INT J DISAST RISK RE, V33, P155, DOI 10.1016/j.ijdrr.2018.10.002
   Janic M, 2015, TRANSPORT RES A-POL, V71, P1, DOI 10.1016/j.tra.2014.10.023
   Jaroszweski D, 2014, PROG PHYS GEOG, V38, P448, DOI 10.1177/0309133314538741
   Ji T, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD033234
   Ji T, 2020, PROG PHYS GEOG, V44, P299, DOI 10.1177/0309133319879324
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Ke JT, 2017, TRANSPORT RES C-EMER, V85, P591, DOI 10.1016/j.trc.2017.10.016
   Kepaptsoglou KL, 2014, TRANSPORT RES REC, P1, DOI 10.3141/2459-01
   Kim H, 2016, PROF GEOGR, V68, P53, DOI 10.1080/00330124.2015.1028299
   Kim S, 2016, PROCD SOC BEHV, V218, P13, DOI 10.1016/j.sbspro.2016.04.006
   Leobons CM, 2019, TRANSP RES PROC, V37, P322, DOI 10.1016/j.trpro.2018.12.199
   Li T, 2019, TRANSPORT RES A-POL, V127, P55, DOI 10.1016/j.tra.2019.07.008
   Liao TY, 2018, NAT HAZARDS, V93, P469, DOI 10.1007/s11069-018-3310-3
   Lin L, 2018, TRANSPORT RES C-EMER, V97, P258, DOI 10.1016/j.trc.2018.10.011
   Lu QC, 2018, TRANSPORT RES A-POL, V117, P227, DOI 10.1016/j.tra.2018.08.015
   Ma XL, 2019, IEEE T INTELL TRANSP, V20, P2278, DOI 10.1109/TITS.2018.2867042
   Markolf SA, 2019, TRANSPORT POLICY, V74, P174, DOI 10.1016/j.tranpol.2018.11.003
   Mattsson LG, 2015, TRANSPORT RES A-POL, V81, P16, DOI 10.1016/j.tra.2015.06.002
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   Meyer MD, 2011, J TRANSP ENG, V137, P393, DOI 10.1061/(ASCE)TE.1943-5436.0000108
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mitsakis E, 2014, INT J ENVIRON SCI TE, V11, P2145, DOI 10.1007/s13762-014-0573-4
   Nogal M, 2017, ASCE-ASME J RISK U A, V3, DOI 10.1061/AJRUA6.0000908
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Pregnolato M, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160023
   Rattanachot W, 2015, TRANSPORT POLICY, V41, P159, DOI 10.1016/j.tranpol.2015.03.001
   Ridder NN, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19639-3
   Sathiaraj D, 2018, COMPUT ENVIRON URBAN, V72, P212, DOI 10.1016/j.compenvurbsys.2018.06.012
   Schlögl M, 2017, NAT HAZARD EARTH SYS, V17, P515, DOI 10.5194/nhess-17-515-2017
   Serrao-Neumann Silvia Choy L, 2011, P STAT AUSTR CIT C M
   Shafieezadeh A, 2014, RELIAB ENG SYST SAFE, V132, P207, DOI 10.1016/j.ress.2014.07.021
   Soltani-Sobh A, 2016, INT J DISAST RISK RE, V19, P324, DOI 10.1016/j.ijdrr.2016.09.004
   Soltani-Sobh A, 2016, INT J DISAST RISK RE, V17, P128, DOI 10.1016/j.ijdrr.2016.04.011
   Suarez P, 2005, TRANSPORT RES D-TR E, V10, P231, DOI 10.1016/j.trd.2005.04.007
   Sun LJ, 2017, TRANSPORT RES C-EMER, V77, P49, DOI 10.1016/j.trc.2017.01.013
   Tang JQ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190616
   Tavakol A, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb1ef
   Taylor MAP, 2015, TRANSPORT POLICY, V41, P117, DOI 10.1016/j.tranpol.2015.01.005
   Testa AC, 2015, TRANSPORT RES REC, P29, DOI 10.3141/2532-04
   Vajjarapu H, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101528
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wang HW, 2020, TRANSPORT RES C-EMER, V115, DOI 10.1016/j.trc.2020.102619
   Wang HW, 2020, J CLEAN PROD, V253, DOI 10.1016/j.jclepro.2019.119841
   Wang JW, 2019, NAT COMPUT, V18, P815, DOI 10.1007/s11047-016-9605-y
   Woods DD, 2015, RELIAB ENG SYST SAFE, V141, P5, DOI 10.1016/j.ress.2015.03.018
   Wu YK, 2018, TRANSPORT RES C-EMER, V90, P166, DOI 10.1016/j.trc.2018.03.001
   Xu XD, 2018, TRANSPORT RES B-METH, V114, P68, DOI 10.1016/j.trb.2018.05.014
   Yang J, 2019, J GEOPHYS RES-OCEANS, V124, P9590, DOI 10.1029/2019JC015249
   Yang SG, 2019, TRANSPORT RES C-EMER, V107, P248, DOI 10.1016/j.trc.2019.08.010
   Yazicioglu AY, 2018, IEEE T CONTROL NETW, V5, P2011, DOI 10.1109/TCNS.2017.2782364
   Ye Q, 2015, J TRANSP SAF SECUR, V7, P91, DOI 10.1080/19439962.2014.907384
   Zhang LJ, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101185
   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
   Zhang Y, 2019, COMPUT-AIDED CIV INF, V34, P877, DOI 10.1111/mice.12450
   Zhang ZC, 2019, TRANSPORT RES C-EMER, V105, P297, DOI 10.1016/j.trc.2019.05.039
   Zhou C, 2022, FRONT EARTH SCI-PRC, V16, P109, DOI 10.1007/s11707-020-0856-7
   Zhou L, 2020, TRANSPORT RES D-TR E, V83, DOI 10.1016/j.trd.2020.102362
   Zhu Y, 2017, TRANSPORT RES REC, P9, DOI 10.3141/2604-02
   Zobel CW, 2014, COMPUT OPER RES, V42, P83, DOI 10.1016/j.cor.2011.09.024
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 95
TC 14
Z9 17
U1 44
U2 237
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2022
VL 14
IS 7
AR 3880
DI 10.3390/su14073880
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 0K4EA
UT WOS:000780742200001
OA gold
DA 2025-04-22
ER

PT J
AU Muñoz-Erickson, TA
   Meerow, S
   Hobbins, R
   Cook, E
   Iwaniec, DM
   Berbés-Blázquez, M
   Grimm, NB
   Barnett, A
   Cordero, J
   Gim, C
   Miller, TR
   Tandazo-Bustamante, F
   Robles-Moruaj, A
AF Munoz-Erickson, Tischa A.
   Meerow, Sara
   Hobbins, Robert
   Cook, Elizabeth
   Iwaniec, David M.
   Berbes-Blazquez, Marta
   Grimm, Nancy B.
   Barnett, Allain
   Cordero, Jan
   Gim, Changdeok
   Miller, Thaddeus R.
   Tandazo-Bustamante, Fernando
   Robles-Moruaj, Agustin
TI Beyond bouncing back? Comparing and contesting urban resilience frames
   in US and Latin American contexts
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Urban resilience; Transformation; Social-ecological-technological
   systems; Sustainability; Equity; Climate change
ID GLOBAL ENVIRONMENTAL-CHANGE; STAKEHOLDER ANALYSIS; TRANSFORMATION;
   ADAPTATION; JUSTICE; SYSTEMS; INFRASTRUCTURE; VULNERABILITY; MANAGEMENT;
   GOVERNANCE
AB Urban resilience has gained considerable popularity in planning and policy to address cities' capacity to cope with climate change. While many studies discuss the different ways that academics define resilience, little attention has been given to how resilience is conceptualized across different urban contexts and among the actors that engage in building resilience 'on the ground'. Given the implications that resilience frames can have for the solutions that are pursued (and who benefits from them), it is important to examine how transformative definitions of urban resilience are in practice. In this paper, we use data from a survey of nine US and Latin American and Caribbean cities to explore how the concept is framed across multiple governance sectors, including governmental, non-governmental, business, research, and hybrid organizations. We examine these framings in light of recent conceptual developments and tensions found in the literature. The results highlight that, in general across the nine cities, framings converge with definitions of resilience as the ability to resist, cope with, or bounce back to previous conditions, whereas sustainability, equity, and social-ecologicaltechnological systems (SETS) perspectives are rarely associated with resilience. There are noticeable differences across cities and governance actors that point to geographic and political variation in the way resilience is conceptualized. We unpack these differences and discuss their implications for resilience research and practice moving forward. We argue that if resilience is going to remain a major goal for city policies into the future, it needs to be conceived in a more transformative, anticipatory, and equitable way, and acknowledge interconnected SETS.
C1 [Munoz-Erickson, Tischa A.] US Forest Serv, Int Urban Field Stn, Int Inst Trop Forestry, USDA,Jardin Bot, 1201 Calle Ceiba, Rio Piedras, PR USA.
   [Meerow, Sara] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ USA.
   [Hobbins, Robert; Iwaniec, David M.] Georgia State Univ, Urban Studies Inst, Andrew Young Sch Policy Studies, Atlanta, GA USA.
   [Cook, Elizabeth] Barnard Coll, Dept Environm Sci, New York, NY USA.
   [Berbes-Blazquez, Marta; Cordero, Jan] Arizona State Univ, Sch Future Innovat Soc, Tempe, AZ USA.
   [Grimm, Nancy B.] Arizona State Univ, Sch Life Sci Global Inst Sustainabil, GRIMM, Tempe, AZ USA.
   [Barnett, Allain] Nat Resources Canada, Ottawa, ON, Canada.
   [Gim, Changdeok] Univ Calif Irvine, Dept Informat, Irvine, CA USA.
   [Miller, Thaddeus R.] Univ Massachusetts Amherst, Sch Publ Policy, Amherst, MA USA.
   [Tandazo-Bustamante, Fernando; Robles-Moruaj, Agustin] Inst Tecnol Sonora, Dept Ciencias Agua & Medio Ambiente, Obregon 85000, Sonora, Mexico.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; Arizona State University; Arizona State University-Tempe;
   University System of Georgia; Georgia State University; Barnard College;
   Arizona State University; Arizona State University-Tempe; Arizona State
   University; Arizona State University-Tempe; Natural Resources Canada;
   University of California System; University of California Irvine;
   University of Massachusetts System; University of Massachusetts Amherst
RP Muñoz-Erickson, TA (corresponding author), US Forest Serv, Int Urban Field Stn, Int Inst Trop Forestry, USDA,Jardin Bot, 1201 Calle Ceiba, Rio Piedras, PR USA.
EM tischa.a.munoz-erickson@usda.gov; sara.meerow@asu.edu; rhobbins@gsu.edu;
   ecook@barnard.edu; diwaniec@gsu.edu; mberbes@asu.edu; nbgrimm@asu.edu;
   allain.barnett@gmail.com; jacorde1@asu.edu; Changdeok.Gim@asu.edu;
   thaddeusmill@umass.edu; fercht22@hotmail.com;
   agustin.robles@itson.edu.mx
RI Berbes, Marta/AAE-9374-2020; Meerow, Sara/J-8037-2019; MunozErickson,
   Tischa/AAG-8476-2019; Hobbins, Robert/AAH-4736-2019; Grimm,
   Nancy/D-2840-2009; Iwaniec, David/M-7993-2014
OI Gim, Changdeok/0000-0001-7848-1404; Cook, Elizabeth
   M./0000-0002-4290-7482; Grimm, Nancy/0000-0001-9374-660X; Meerow,
   Sara/0000-0002-6935-1832; Hobbins, Robert/0000-0001-9882-665X; Iwaniec,
   David/0000-0002-0410-4152
FU US National Science Foundation [1444755, 1832016, 1934933]; Chilean
   CONICYT-FONDECYT (Science Technology, Knowledge and Innovation Ministry
   of Chile) [3150290]; ITSON's Programa de Fomento y Apoyo a Proyectos de
   Investigacion (PROFAPI); Division Of Environmental Biology; Direct For
   Biological Sciences [1832016] Funding Source: National Science
   Foundation
FX This material is based upon work supported by the US National Science
   Foundation (awards #1444755, #1832016, #1934933), the Chilean
   CONICYT-FONDECYT (award #3150290; Science Technology, Knowledge and
   Innovation Ministry of Chile), and the ITSON's Programa de Fomento y
   Apoyo a Proyectos de Investigaci ' on (PROFAPI). This work was done in
   collaboration with the University of Puerto Rico, Rio Piedras and
   Medical Sciences Campus.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 2015, CUAD TRAB SOC
   [Anonymous], 2015, Bounce forward: Urban resilience in the era of climate change
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Borie M, 2019, GLOBAL ENVIRON CHANG, V54, P203, DOI 10.1016/j.gloenvcha.2019.01.001
   Bosomworth K, 2015, ENVIRON PLANN C, V33, P1450, DOI 10.1177/0263774X15614138
   Boyd E., 2012, Adapting institutions: governance, complexity, and socialecological resilience
   Boyd E, 2015, AMBIO, V44, pS149, DOI 10.1007/s13280-014-0604-x
   Brand FS, 2007, ECOL SOC, V12
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chu E., 2019, UNLOCKING POTENTIAL
   Dillman D. A., 2007, Mail and Internet Surveys: The tailored design method. 2007 update with new Internet, visual, V3rd
   Eakin H., 2018, Journal of Extreme Events, P1850015, DOI [10.1142/s234573761850015x, DOI 10.1142/S234573761850015X, 10.1142/S234573761850015X]
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Etikan I., 2016, American Journal of Theoretical and Applied Statistics, V5, P1, DOI [DOI 10.11648/J.AJTAS.20160501.11, 10.11648/j.ajtas.20160501.11]
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Grafton RQ, 2019, NAT SUSTAIN, V2, P907, DOI 10.1038/s41893-019-0376-1
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Grimm NB, 2017, ECOSYST HEALTH SUST, V3, DOI 10.1002/ehs2.1255
   Grove Kevin., 2018, Resilience, DOI [DOI 10.4324/9781315661407, DOI 10.1016/0145-305X(86)90044-3]
   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
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Hollnagel E, 2014, BUILD RES INF, V42, P221, DOI 10.1080/09613218.2014.862607
   ICLEI, 2019, RESILIENT CITIES T
   Iwaniec DM, 2020, LANDSCAPE URBAN PLAN, V197, DOI 10.1016/j.landurbplan.2020.103744
   Iwaniec DM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030573
   Keating A, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101355
   Leach Melissa, 2010, Dynamic Sustainabilities: Technology, Environment, Social
   Leventon J, 2016, SUSTAIN SCI, V11, P763, DOI 10.1007/s11625-016-0385-1
   MacQueen KM., 1998, Cam Journal, V10, P31, DOI DOI 10.1177/1525822X980100020301
   Markolf SA, 2018, EARTHS FUTURE, V6, P1638, DOI 10.1029/2018EF000926
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McPhearson T., 2021, NPJ URBAN SUSTAIN, V1, P5, DOI [10.1038/s42949-021-00017-x, DOI 10.1038/S42949-021-00017-X]
   Meerow S, 2021, URBAN AFF REV, V57, P70, DOI 10.1177/1078087420905655
   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, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070701
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller CA, 2020, ENVIRON SCI POLICY, V113, P88, DOI 10.1016/j.envsci.2018.01.016
   Miller TR, 2018, ISSUES SCI TECHNOL, V34, P46
   Morath D., 2009, SOCIAL VULNERABILITY
   Moser S, 2019, CLIMATIC CHANGE, V153, P21, DOI 10.1007/s10584-018-2358-0
   Munoz-Erickson TA., 2021, Resilient urban futures, P159, DOI [10.1007/978-3-030-63131-4_11, DOI 10.1007/978-3-030-63131-4_11]
   Muñoz-Erickson TA, 2016, CURR OPIN ENV SUST, V18, P56, DOI 10.1016/j.cosust.2015.08.013
   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
   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
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Pimm S.L., 1991, BALANCE NATURE ECOLO
   Popke J, 2016, GEOFORUM, V73, P70, DOI 10.1016/j.geoforum.2014.11.003
   Prell C, 2009, SOC NATUR RESOUR, V22, P501, DOI 10.1080/08941920802199202
   Quay R, 2010, J AM PLANN ASSOC, V76, P496, DOI 10.1080/01944363.2010.508428
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Ratajczyk E, 2016, INT J COMMONS, V10, P440, DOI 10.18352/ijc.652
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   Rockefeller Foundation, 2019, RESILIENT CITIES RES
   Schipper E.L. F., 2015, Overseas Development Institute - Working, P30, DOI DOI 10.13140/RG.2.1.2430.0882
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Sharifi A, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.142391
   Smith A, 2010, ECOL SOC, V15
   Stults M, 2020, J PLAN EDUC RES, V40, P416, DOI 10.1177/0739456X18769134
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   van der Heijden J, 2019, EARTH SYST GOV-NETH, V1, DOI 10.1016/j.esg.2019.100005
   Villagra P, 2019, ENVIRONMENT, V61, P4, DOI 10.1080/00139157.2019.1615348
   Walker B, 2004, ECOL SOC, V9
   Walker BH, 2020, ECOL SOC, V25, DOI 10.5751/ES-11647-250211
   Weed M., 2005, Forum: Qualitative Social Research, V6, DOI DOI 10.17169/FQS-6.1.508
   Wray S., 2020, CITIES TODAY CONNECT
   Yang RJ, 2014, INT J PROJ MANAG, V32, P838, DOI 10.1016/j.ijproman.2013.10.011
NR 83
TC 49
Z9 54
U1 13
U2 57
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 2021
VL 214
AR 104173
DI 10.1016/j.landurbplan.2021.104173
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 TU6AJ
UT WOS:000681116600001
OA hybrid
DA 2025-04-22
ER

PT J
AU Chen, F
   Ma, XQ
   Li, YH
   Liu, GP
AF Chen, Fei
   Ma, Xiaoqing
   Li, Yonghe
   Liu, Guoping
TI Regional Urban Resilience: Research Methodology and Empirical Analysis
   Based on the Perspectives of Density, Distance, and Division in the
   Yangtze River Delta
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
DE Ecological density; Social division; Spatial distance; Urban resilience
   index
ID ADAPTABILITY
AB The present study builds a regional urban resilience index model through ecological density, spatial distance, and social division based on the Density, Distance and Division (3D) theory of new economic geography. In total, 41 cities in the Yangtze River Delta, China, were used as the research object, and the characteristics of the urban resilience index and the driving effect of factors were investigated. The results show that: (1) the Yangtze River Delta urban agglomerations are at the primary level of resilience, which presents a spatial development pattern of one core and two belts; (2) there is a significant positive correlation between external resistance and internal restoration, and the restoration lags behind the resistance in most cities because of the lack of internal density effects; and (3) the driving effects of ecological density, spatial distance, and social division elements on the urban resilience level are different at the regional and district scales. Ecological density and social division are stronger at the district scale, and the spatial distance is stronger at the regional scale.
C1 [Chen, Fei; Ma, Xiaoqing; Li, Yonghe] Shanghai Inst Technol, Sch Urban Construct & Safety Engn, 100 Haiquan Rd, Shanghai 201418, Peoples R China.
   [Liu, Guoping] Shanghai Lixin Univ Accounting & Finance, Sch Int Econ & Trade, 995 Shangchuan Rd, Shanghai 201620, Peoples R China.
C3 Shanghai Institute of Technology; Shanghai Lixin University of
   Accounting & Finance
RP Chen, F (corresponding author), Shanghai Inst Technol, Sch Urban Construct & Safety Engn, 100 Haiquan Rd, Shanghai 201418, Peoples R China.
EM ldcarch@163.com; 206132109@mail.sit.edu.cn; 206132109@mail.sit.edu.cn;
   liuguoping@lixin.edu.cn
RI Liu, Guoping/JJC-3166-2023; Chen, Fei/AFM-4579-2022
CR Alawi M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021092
   Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   [Anonymous], 2008, World Development Report 2008: Agriculture for Development
   AR (Arup and Rockfeller), 2014, Foundation and City Resilience Framework
   Aven T, 2013, SAFETY SCI, V57, P44, DOI 10.1016/j.ssci.2013.01.016
   Banai R, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102929
   Batty M, 2013, NEW SCIENCE OF CITIES, P1
   Beramendi P, 2007, INT ORGAN, V61, P783, DOI 10.1017/S0020818307070270
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Cao Y, 2023, LAND USE POLICY, V125, DOI 10.1016/j.landusepol.2022.106454
   Chen J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102892
   Conroy H. V., 2008, Density, distance, and division in Latin America and the Caribbean: Analysis with a unified local-level economic welfare map
   Dalziel BD, 2018, SCIENCE, V362, P75, DOI 10.1126/science.aat6030
   Downes BJ, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014041
   Fang W., 2021, World Bank Blogs (blog)
   Fath BD, 2015, ECOL SOC, V20, DOI 10.5751/ES-07467-200224
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Fox-Lent C, 2018, LECT N ENERG, V65, P29, DOI 10.1007/978-3-319-75798-8_2
   Gao X, 2021, INT J URBAN SCI, V25, P208, DOI 10.1080/12265934.2020.1810106
   Gui Q, 2006, J. World Econ, V2, P20
   Hamidi S, 2020, J AM PLANN ASSOC, V86, P495, DOI 10.1080/01944363.2020.1777891
   He H. R., 2015, J. World Econ, V38, P53
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Holling C. S., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   Huang LY, 2022, J CLEAN PROD, V339, DOI 10.1016/j.jclepro.2022.130681
   Isard W., 2017, Methods of interregional and regional analysis, P243, DOI DOI 10.4324/9781315249056-6
   Jinhwan O., 2011, Lett. Spatial Resour. Sci, V5, P33, DOI [10.1007/s12076-011-0063-y, DOI 10.1007/S12076-011-0063-Y]
   Li NS., 2021, Urban Problems, P28, DOI [10.13239/j.bjsshkxy.cswt.210904, DOI 10.13239/J.BJSSHKXY.CSWT.210904]
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   Lwin KK, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101745
   Marquet O, 2014, TRANSPORT RES A-POL, V70, P210, DOI 10.1016/j.tra.2014.10.007
   McPhearson T, 2022, ONE EARTH, V5, P505, DOI 10.1016/j.oneear.2022.04.007
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mera AP, 2020, TRANSPORTATION, V47, P1809, DOI 10.1007/s11116-019-09984-8
   Mouratidis K, 2022, SCI TOTAL ENVIRON, V811, DOI 10.1016/j.scitotenv.2021.152332
   Peek L, 2021, RISK ANAL, V41, P1047, DOI 10.1111/risa.13777
   Peng C., 2020, Mod. Urban Res, V9, P40, DOI [10.3969/j.issn.1009-6000.2020.09.006, DOI 10.3969/J.ISSN.1009-6000.2020.09.006]
   RA (Resilience Alliance), Key Concepts
   Rigg J, 2009, T I BRIT GEOGR, V34, P128, DOI 10.1111/j.1475-5661.2009.00340.x
   Rogov M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124431
   Roosta M, 2022, INT J URBAN SCI, V26, P309, DOI 10.1080/12265934.2021.1911676
   Schewenius M, 2014, AMBIO, V43, P434, DOI 10.1007/s13280-014-0505-z
   Shao B., 2020, East China Econ. Manage, V34, P33, DOI [10.19581/j.cnki.ciejournal.2016.02.003, DOI 10.19581/J.CNKI.CIEJOURNAL.2016.02.003]
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Sun J., 2011, Economist, P37, DOI [10.16158/j.cnki.51-1312/f.2011.07.003, DOI 10.16158/J.CNKI.51-1312/F.2011.07.003]
   Sun Y. N., 2021, NANJING SOC SCI, P31, DOI [10.15937/j.cnki.issn1001-8263.2021.07.004, DOI 10.15937/J.CNKI.ISSN1001-8263.2021.07.004, 10.15937/j.cnki.issn1001-8263.2021.07.004.+48, DOI 10.15937/J.CNKI.ISSN1001-8263.2021.07.004.+48]
   Walker B, 2004, ECOL SOC, V9
   [王淑佳 Wang Shujia], 2021, [自然资源学报, Journal of Natural Resources], V36, P793
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   [魏冶 Wei Ye], 2020, [地理科学进展, Progress in Geography], V39, P488
   Wucker M., 2016, The Gray Rhino: How to Recognize and Act on the Obvious DangersWe Ignore
   Yu L., 2020, Journal of Intellicence, V39, P176, DOI [10.3969/j.issn.1002-1965.2020.09.028, DOI 10.3969/J.ISSN.1002-1965.2020.09.028]
   Zhang L, 2021, J CLEAN PROD, V281, DOI 10.1016/j.jclepro.2020.125050
   Zhang S.S., 2023, Northwest. Popul, V44, P76
   Zhou J, 2021, APPL ECON, V53, P2615, DOI 10.1080/00036846.2020.1863325
NR 55
TC 0
Z9 0
U1 19
U2 55
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 MAR 1
PY 2024
VL 150
IS 1
AR 04023055
DI 10.1061/JUPDDM.UPENG-4391
PG 13
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 FC7O2
UT WOS:001143617200001
DA 2025-04-22
ER

PT J
AU Zhang, YL
   Cai, ZJ
   Zhou, XB
AF Zhang, Yongling
   Cai, Zijie
   Zhou, Xiaobing
TI Spatial-Temporal Evolution and Obstacle Factors of the Disaster
   Resilience in the Central Plains Urban Agglomeration, China
SO SUSTAINABILITY
LA English
DT Article
DE urban disaster resilience; spatial-temporal evolution; obstacle factors;
   spatial spillover effect; Central Plains Urban Agglomeration (CPUA)
AB With the accelerating process of global urbanization, the disaster risks faced by urban agglomerations are becoming more and more complex and diversified, and strengthening the research of disaster resilience is crucial to achieving the sustainable economic and social development of urban agglomerations. Taking 30 cities in the Central Plains Urban Agglomeration (CPUA) between 2012 and 2022 as research objects, this paper innovatively fixed a common disaster resilience assessment index system; then, the disaster resilience index was calculated and significance was detected by a paired t-test. Finally, the spatial evolution and obstacle factors of CPUA were explored by Moran's I and SDM Model. The results show that the disaster resilience of CPUA in 2012-2022 shows significant growth (p < 0.01), and the growth rate in the early period is greater than that in the late period. In terms of spatial distribution, the disaster resilience showed a pattern of high in the northwest and low in the southeast, which obviously evolved over time, presenting obvious regional asynchrony and incoherence. The spatial heterogeneity of disaster resilience was strong, and the cities with significant agglomeration account for only 30%, mainly belonging to the L-L agglomeration type. The spatial spillover effects of resistance, recovery, and adaptability were significant (p < 0.01), among which the resistance dimension was the main obstacle factor. This study contributes to the existing literature in two ways. It explores the significance of temporal evolution as well as the spillover effect of spatial evolution, which were seldom seen. The research results can provide a reference for the construction and governance of disaster resilience both in the Central Plains Urban Agglomeration and other cities.
C1 [Zhang, Yongling; Cai, Zijie; Zhou, Xiaobing] Henan Polytech Univ, Sch Emergency Management, Jiaozuo 454099, Peoples R China.
   [Zhang, Yongling; Zhou, Xiaobing] Henan Polytech Univ, Sch Business Adm, Jiaozuo 454099, Peoples R China.
C3 Henan Polytechnic University; Henan Polytechnic University
RP Cai, ZJ; Zhou, XB (corresponding author), Henan Polytech Univ, Sch Emergency Management, Jiaozuo 454099, Peoples R China.; Zhou, XB (corresponding author), Henan Polytech Univ, Sch Business Adm, Jiaozuo 454099, Peoples R China.
EM zhyongling@hpu.edu.cn; caizijie@home.hpu.edu.cn; zxb@hpu.edu.cn
FU Henan Provincial Department of Education [2024-YYZD-03]; Major Projects
   in Applied Research of Henan Provincial Department of Education
   [2024GGJS033]; Universities Young Backbone Teacher Training Program in
   Henan Province [2023-CXTD-06]; Philosophy and Social Science Innovation
   Team of Henan Province
FX This study is supported by Major Projects in Applied Research of Henan
   Provincial Department of Education (2024-YYZD-03); the Universities
   Young Backbone Teacher Training Program in Henan Province (2024GGJS033);
   and the Philosophy and Social Science Innovation Team of Henan Province
   (2023-CXTD-06).
CR Ahmad D, 2019, NAT HAZARDS, V99, P337, DOI 10.1007/s11069-019-03743-9
   Andriyana Y, 2024, MATHEMATICS-BASEL, V12, DOI 10.3390/math12152304
   Bilal A., 2021, Energy Environ. Sci, V80, P59
   Cardoni A, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102059
   Cowell M, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.103946
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Giordano N, 2023, NAT HAZARDS, V117, P1083, DOI 10.1007/s11069-023-05895-1
   He CY, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074028
   Huang J, 2024, ATMOSPHERE-BASEL, V15, DOI 10.3390/atmos15080984
   Hufschmidt G, 2011, NAT HAZARDS, V58, P621, DOI 10.1007/s11069-011-9823-7
   Javadpoor M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102609
   Kalla M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152215895
   Kumar GD, 2024, ENVIRON MONIT ASSESS, V196, DOI 10.1007/s10661-024-12952-0
   Li HW, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102057
   Liu LN, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134400
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Mavhura E, 2021, INT J DISAST RISK RE, V57, DOI 10.1016/j.ijdrr.2021.102152
   Mayangsari Dewi, 2024, IOP Conference Series: Earth and Environmental Science, V1314, DOI 10.1088/1755-1315/1314/1/012112
   Peng L, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15020430
   Quah JL, 2024, HEALTHCARE-BASEL, V12, DOI 10.3390/healthcare12131308
   Rodríguez-Izquierdo E, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104485
   Su YL, 2023, CHINESE GEOGR SCI, V33, P736, DOI 10.1007/s11769-023-1369-6
   United Nations Office for Disaster Risk Reduction, 2015, Sendai Framework for Disaster Risk Reduction 20152030
   United Nations Office for Disaster Risk Reduction, 2017, How to Make Cities More Resilient: A Handbook for Local Government Leaders
   United Nations Office for Disaster Risk Reduction, 2012, How to Make Cities More Resilient: A Handbook for Local Government Leaders
   Wang B, 2022, PROCESS SAF ENVIRON, V163, P330, DOI 10.1016/j.psep.2022.05.037
   Wang J, 2021, NAT CLIM CHANGE, V11, P1084, DOI 10.1038/s41558-021-01196-2
   Wu SH, 2023, J GEOGR SCI, V33, P429, DOI 10.1007/s11442-023-2090-1
   Yi PT, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2023.103528
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zheng ZP, 2011, REG ENVIRON CHANGE, V11, P439, DOI 10.1007/s10113-011-0242-9
   Zhou XB, 2024, INT J DISAST RISK RE, V105, DOI 10.1016/j.ijdrr.2024.104357
NR 33
TC 0
Z9 0
U1 10
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2025
VL 17
IS 1
AR 205
DI 10.3390/su17010205
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 S0G2B
UT WOS:001395110800001
OA gold
DA 2025-04-22
ER

PT J
AU Lan, HY
   Li, R
   Wang, L
   Yang, SQ
AF Lan, Haiyan
   Li, Rong
   Wang, Lin
   Yang, Siqi
TI Research on the Relationship between Carbon Emissions and Resilience of
   Resource-based Cities: Taking Liaoning Province, China as an Example
SO POLISH JOURNAL OF ENVIRONMENTAL STUDIES
LA English
DT Article
DE resilience of resource-based city; decarbonization development; energy
   dependence degree; technological innovation; carbon peaking and carbon
   neutrality
ID PERSPECTIVE
AB Achieving carbon peaking and carbon neutrality targets necessitates a holistic green transformation of both the economy and society, presenting a formidable challenge for resource-dependent cities with high energy needs. Liaoning Province, China was the first to pilot the economic transformation of resource-based cities, exploring the relationship between urban resilience and carbon emissions, which holds crucial implications for steering resource-based cities towards models of decarbonized development and innovative energy systems. This article establishes a comprehensive indicator system, encompassing five key dimensions: economy, society, resources, ecology, and technological innovation. It constructs an urban resilience evaluation model using combined weighting and improved TOPSIS and a resilience obstacle degree model. To evaluate the spatiotemporal resilience shifts in Liaoning's resource-based cities and their correlation with carbon emissions. The findings reveal: (1) A fundamental alignment between the resilience of resource-based cities and the dual carbon goals, particularly noticeable in sectors or cities with lower energy reliance. A negative correlation exists between carbon dioxide emissions and urban resilience. (2) In industries highly dependent on fossil fuels, carbon dioxide emissions, and urban resilience tend to increase together. However, a development strategy that compromises ecological resilience is unsustainable. The degree of energy dependence critically influences this trend. (3) Examining the spatiotemporal changes in urban resilience, the disparity among cities is diminishing, with notable resilience fluctuations aligning closely with carbon emission levels. Technological innovation and economic dimensions emerge as the primary hurdles to enhancing the resilience of Liaoning's resource-based cities.
C1 [Lan, Haiyan; Li, Rong; Wang, Lin] Hunan Womens Univ, Coll Business, Changsha 410004, Hunan, Peoples R China.
   [Yang, Siqi] Liaoning Univ Technol, Sch Econ & Management, Jinzhou 120001, Liaoning, Peoples R China.
C3 Hunan Women's University; Liaoning University of Technology
RP Lan, HY (corresponding author), Hunan Womens Univ, Coll Business, Changsha 410004, Hunan, Peoples R China.
EM lanhaiyan0909@163.com
FU National Social Science Foundation Project [22BGL202]; Scientific
   Research Fund of Hunan Provincial Education Department [21A0598,
   22A0678]; Hunan Provincial Social Science Achievement Review Committee
   [XSP24YBZ078]
FX This work was financially supported by the National Social Science
   Foundation Project (No. 22BGL202) ; the Scientific Research Fund of
   Hunan Provincial Education Department (No. 21A0598, 22A0678) ; grant
   number, and the Hunan Provincial Social Science Achievement Review
   Committee (No. XSP24YBZ078) .
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Beceiro P, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310040
   Bouwer R, 2021, ENVIRON DEV, V39, DOI 10.1016/j.envdev.2021.100646
   BUSIC A., 2022, Social resilience indicators for pandemic crises
   [陈晓红 Chen Xiaohong], 2020, [地理科学, Scientia Geographica Sinica], V40, P2000
   Ciesiólka P, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141911969
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cloern JE, 2016, GLOBAL CHANGE BIOL, V22, P513, DOI 10.1111/gcb.13059
   Copeland S, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101799
   Dakos V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac5767
   Deng Y, 2023, RESOUR POLICY, V82, DOI 10.1016/j.resourpol.2023.103522
   Feng Y., 2020, SHANGHAI J EC, V5, P60, DOI DOI 10.19626/J.CNKI.CN31-1163/F.2020.05.004
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   [高禄 Gao Lu], 2024, [灾害学, Journal of Catastrophology], V39, P216
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   [黄梦涵 Huang Menghan], 2023, [经济地理, Economic Geography], V43, P34
   Kong L, 2022, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-022-20891-x
   Li B, 2017, RESOUR POLICY, V51, P31, DOI 10.1016/j.resourpol.2016.11.003
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   [刘玲娜 Liu Lingna], 2024, [地质通报, Geological Bulletin of China], V43, P1361
   LV T.G., 2023, Regional Research and Development, V42, P54, DOI DOI 10.3969/J.ISSN.1003-2363.2023.01.010
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   McGlade C, 2015, NATURE, V517, P187, DOI 10.1038/nature14016
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   Nakagawa M, 2024, INFECT CONT HOSP EP, V45, P903, DOI 10.1017/ice.2024.48
   Osman T, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103372
   Rashidfarokhi A, 2023, BUILD RES INF, V51, P747, DOI 10.1080/09613218.2023.2191922
   Rose A., 2002, ENVIRON HAZARDS-UK, V4, P1
   Shi CC, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192215407
   Sidhu J, 2017, J GRID COMPUT, V15, P81, DOI 10.1007/s10723-016-9363-1
   Song M, 2023, ENVIRON SCI POLLUT R, V30, P96795, DOI 10.1007/s11356-023-29113-4
   [唐宇 Tang Yu], 2022, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V36, P53
   [王少剑 Wang Shaojian], 2021, [地理学报, Acta Geographica Sinica], V76, P973
   Wang YJ, 2022, RESOUR CONSERV RECY, V180, DOI 10.1016/j.resconrec.2022.106181
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wang ZR, 2023, RESOUR CONSERV RECY, V191, DOI 10.1016/j.resconrec.2023.106912
   Zebardast E, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104127
   [张振 Zhang Zhen], 2023, [灾害学, Journal of Catastrophology], V38, P213
NR 38
TC 0
Z9 0
U1 9
U2 9
PU HARD
PI OLSZTYN 5
PA POST-OFFICE BOX, 10-718 OLSZTYN 5, POLAND
SN 1230-1485
EI 2083-5906
J9 POL J ENVIRON STUD
JI Pol. J. Environ. Stud.
PY 2025
VL 34
IS 3
BP 2497
EP 2511
DI 10.15244/pjoes/188231
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA U6A2O
UT WOS:001412591500040
OA gold
DA 2025-04-22
ER

PT J
AU Chen, ZY
   Qiao, RL
   Li, SY
   Zhou, SQ
   Zhang, XN
   Wu, ZQ
   Wu, T
AF Chen, Zeyin
   Qiao, Renlu
   Li, Siying
   Zhou, Shiqi
   Zhang, Xiuning
   Wu, Zhiqiang
   Wu, Tao
TI Heat and mobility: Machine learning perspectives on bike-sharing
   resilience in Shanghai
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Urban mobility resilience; Climate change; Extreme heat; Built
   environment; Bike-Sharing
ID NON-MOTORIZED TRAVEL; URBAN GREEN SPACE; BUILT ENVIRONMENT; WEATHER;
   BICYCLE; IMPACT; CITIES; FORM; SYSTEM; NEIGHBORHOODS
AB Global climate change has increased extreme heat events, impacting urban mobility, particularly bike-sharing. This study examines the urban mobility resilience (UMR) of bike-sharing to extreme heat in Shanghai's urban center, analyzing how the built environment and other factors influence UMR through machine learning. The model has an explanatory power of 73.5% and 63.7% on weekdays and weekends. Results indicate that extreme heat has a stronger effect on weekends. Key factors like development intensity, public transportation accessibility, and functional diversity positively affect resilience, with building density increases from 0 to 0.3 promoting UMR by nearly 0.1 (out of 1). Proximity to metro stations (within 1,000-1,500 m) also promotes resilience. The reasonable aggregation of socio-economic factors can also effectively enhance resilience. However, greening and road density sometimes play a negative role. The research provides more references for urban planners and managers to customize strategies to enhance UMR in the context of climate change.
C1 [Chen, Zeyin; Wu, Zhiqiang; Wu, Tao] Tongji Univ, Coll Architecture & Urban Planning, 1239 Siping Rd, Shanghai, Peoples R China.
   [Qiao, Renlu] Tongji Univ, Shanghai Res Inst Intelligent Autonomous Syst, 1239 Siping Rd, Shanghai, Peoples R China.
   [Li, Siying] Tsinghua Univ, Sch Architecture, 30 Shuangqing Rd, Beijing, Peoples R China.
   [Zhou, Shiqi] Tongji Univ, Coll Design & Innovat, 1239 Siping Rd, Shanghai, Peoples R China.
   [Zhang, Xiuning] UCL, Bartlett Ctr Adv Spatial Anal, London W1T 4TJ, England.
   [Wu, Zhiqiang] Peng Cheng Lab, Dept Math & Theories, Shenzhen, Peoples R China.
   [Wu, Zhiqiang] Chinese Acad Engn, Beijing, Peoples R China.
C3 Tongji University; Tongji University; Tsinghua University; Tongji
   University; University of London; University College London; Peng Cheng
   Laboratory
RP Wu, ZQ; Wu, T (corresponding author), Tongji Univ, Coll Architecture & Urban Planning, 1239 Siping Rd, Shanghai, Peoples R China.; Wu, ZQ (corresponding author), Peng Cheng Lab, Dept Math & Theories, Shenzhen, Peoples R China.; Wu, ZQ (corresponding author), Chinese Acad Engn, Beijing, Peoples R China.
EM wus@tongji.edu.cn; taowu@tongji.edu.cn
RI Wu, Zhiqiang/AAH-2912-2020; zhou, shiqi/LLL-2747-2024; Qiao,
   Renlu/LQJ-6212-2024
OI Zhang, Xiuning/0009-0001-6255-4426
FU 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];
   Shanghai Intelligent Science and Technology IV Summit Discipline
   'Cross-Innovation Science and Education Integration Fund'
FX This paper is financed 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
   (2022YFC3800205) and Shanghai Intelligent Science and Technology IV
   Summit Discipline 'Cross-Innovation Science and Education Integration
   Fund'.
CR Acero JA, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12081012
   Allam Z., 2020, Cities and Climate Change: Climate Policy, Economic Resilience and Urban Sustainability, P83, DOI [10.1007/978-3-030-40727-84, DOI 10.1007/978-3-030-40727-84]
   Amiri M, 2015, SUSTAIN CITIES SOC, V14, P397, DOI 10.1016/j.scs.2013.11.009
   An R, 2019, J TRANSP GEOGR, V77, P97, DOI 10.1016/j.jtrangeo.2019.04.016
   [Anonymous], 2016, [No title captured]
   [Anonymous], 2009, China Meteorological News
   Bai YW, 2023, LAND-BASEL, V12, DOI 10.3390/land12030619
   Batur I, 2024, TRANSPORT RES D-TR E, V136, DOI 10.1016/j.trd.2024.104431
   Bi H, 2022, TRANSPORT POLICY, V129, P51, DOI 10.1016/j.tranpol.2022.10.004
   Bi H, 2020, TRANSPORT RES REC, V2674, P745, DOI 10.1177/0361198120924630
   Böcker L, 2013, TRANSPORT REV, V33, P71, DOI 10.1080/01441647.2012.747114
   Bullock C, 2017, SUSTAIN CITIES SOC, V28, P76, DOI 10.1016/j.scs.2016.08.024
   Campbell A, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102336
   Campbell AA, 2016, TRANSPORT RES C-EMER, V67, P399, DOI 10.1016/j.trc.2016.03.004
   Cao XS, 2017, TRANSPORT RES D-TR E, V52, P480, DOI 10.1016/j.trd.2017.02.003
   Chen LT, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17207640
   Chen YY, 2020, URBAN FOR URBAN GREE, V51, DOI 10.1016/j.ufug.2020.126690
   Chen YH, 2020, BUILD ENVIRON, V168, DOI 10.1016/j.buildenv.2019.106493
   Cheng L, 2022, TRANSPORT RES A-POL, V162, P175, DOI 10.1016/j.tra.2022.05.022
   Cui Y, 2024, ENVIRON TECHNOL INNO, V34, DOI 10.1016/j.eti.2024.103568
   El-Assi W, 2017, TRANSPORTATION, V44, P589, DOI 10.1007/s11116-015-9669-z
   Emmanuel R, 2007, CLIM RES, V34, P241, DOI 10.3354/cr00694
   Eren E, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101882
   Ethier BG, 2024, TRAVEL BEHAV SOC, V37, DOI 10.1016/j.tbs.2024.100850
   Faghih-Imani A, 2017, TRANSPORT RES A-POL, V97, P177, DOI 10.1016/j.tra.2016.12.007
   Faghih-Imani A, 2014, J TRANSP GEOGR, V41, P306, DOI 10.1016/j.jtrangeo.2014.01.013
   Fan HC, 2014, LECT NOTES GEOINF CA, P19, DOI 10.1007/978-3-319-03611-3_2
   Fan PL, 2017, LANDSCAPE URBAN PLAN, V165, P177, DOI 10.1016/j.landurbplan.2016.11.007
   Fishman E, 2015, TRANSPORT RES A-POL, V71, P17, DOI 10.1016/j.tra.2014.10.021
   Fuller D, 2011, AM J PREV MED, V41, P80, DOI 10.1016/j.amepre.2011.03.002
   Gao J, 2023, J TRANSP GEOGR, V109, DOI 10.1016/j.jtrangeo.2023.103586
   Gao K, 2023, J TRANSP GEOGR, V110, DOI 10.1016/j.jtrangeo.2023.103604
   Gehl J., 2010, CITIES PEOPLE
   Gong MJ, 2024, J TRANSP GEOGR, V121, DOI 10.1016/j.jtrangeo.2024.104031
   Gong WJ, 2024, J TRANSP GEOGR, V115, DOI 10.1016/j.jtrangeo.2024.103799
   Hashemi SK, 2023, IEEE ACCESS, V11, P3034, DOI 10.1109/ACCESS.2022.3232287
   Heaney AK, 2019, ENVIRON HEALTH PERSP, V127, DOI [10.1289/EHP4039, 10.1289/ehp4039]
   Heinen E, 2010, TRANSPORT REV, V30, P59, DOI 10.1080/01441640903187001
   Helbich M, 2019, ENVIRON INT, V126, P107, DOI 10.1016/j.envint.2019.02.013
   Helbich M, 2014, J TRANSP GEOGR, V38, P38, DOI 10.1016/j.jtrangeo.2014.05.009
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang L, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13158835
   Hyland M, 2018, TRAVEL BEHAV SOC, V13, P44, DOI 10.1016/j.tbs.2018.05.001
   Jay O, 2021, LANCET, V398, P709, DOI 10.1016/S0140-6736(21)01209-5
   Jiang SX, 2023, TRAVEL BEHAV SOC, V31, P166, DOI 10.1016/j.tbs.2022.12.003
   Kabisch N, 2016, ECOL INDIC, V70, P586, DOI 10.1016/j.ecolind.2016.02.029
   Karner A, 2015, J TRANSP HEALTH, V2, P451, DOI 10.1016/j.jth.2015.10.001
   Ke GL, 2017, ADV NEUR IN, V30
   Ke X, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2024.105183
   Khan M, 2014, TRANSPORT POLICY, V35, P117, DOI 10.1016/j.tranpol.2014.05.008
   Khraiwesh MM, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15108412
   Kim K, 2018, J TRANSP GEOGR, V66, P309, DOI 10.1016/j.jtrangeo.2018.01.001
   Kroll C, 2019, PALGR COMMUN, V5, DOI 10.1057/s41599-019-0335-5
   Kusaka H, 2004, J METEOROL SOC JPN, V82, P67, DOI 10.2151/jmsj.82.67
   LandScan Global Population Database, 2016, LandScan Global 2016
   Lange S., Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales, DOI [10.1029/2020EF001616, DOI 10.1029/2020EF001616]
   Le HTK, 2018, ENVIRON HEALTH PERSP, V126, DOI [10.1289/EHP3389, 10.1289/ehp3389]
   Lee Q.Y., 2019, Views from Singapore, Policy Design and Practice, DOI [10.1080/25741292.2019.1665857, DOI 10.1080/25741292.2019.1665857]
   Li CS, 2024, TRAVEL BEHAV SOC, V37, DOI 10.1016/j.tbs.2024.100821
   Li H, 2019, CITIES, V91, P165, DOI 10.1016/j.cities.2018.11.016
   Lin JJ, 2018, TRANSPORT RES D-TR E, V63, P209, DOI 10.1016/j.trd.2018.05.007
   Lin N, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15153901
   Lin PF, 2020, NETW SPAT ECON, V20, P1, DOI 10.1007/s11067-019-09465-6
   Liu CX, 2015, TRANSPORT POLICY, V41, P147, DOI 10.1016/j.tranpol.2015.01.001
   Liu S, 2021, TRAVEL BEHAV SOC, V24, P257, DOI 10.1016/j.tbs.2021.04.002
   Lu RY, 2016, ATMOS OCEAN SCI LETT, V9, P114, DOI 10.1080/16742834.2016.1133071
   Lundberg S, 2017, Arxiv, DOI [arXiv:1705.07874, DOI 10.48550/ARXIV.1705.07874, 10.48550/arXiv.1705.07874,1705.07874]
   Lundberg SM, 2020, NAT MACH INTELL, V2, P56, DOI 10.1038/s42256-019-0138-9
   Luo H, 2019, RESOUR CONSERV RECY, V146, P180, DOI 10.1016/j.resconrec.2019.03.003
   Luo PY, 2023, BUILD ENVIRON, V231, DOI 10.1016/j.buildenv.2023.110035
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Morganti M., 2020, Urban Microclimate and Thermal Comfort in the Social Housing Districts of Rome: the Combined Effect of Built Form and Urban Materials, P293, DOI [10.1007/978-3-030-18488-922, DOI 10.1007/978-3-030-18488-922]
   Mouratidis K, 2019, TRANSPORT RES A-POL, V129, P306, DOI 10.1016/j.tra.2019.09.002
   Nagatsu M, 2020, SUSTAIN SCI, V15, P1807, DOI 10.1007/s11625-020-00832-8
   Nahal T, 2018, J TRANSP HEALTH, V10, P262, DOI 10.1016/j.jth.2018.05.012
   Nasri A, 2020, J TRANSP LAND USE, V13, P389, DOI 10.5198/jtlu.2020.1615
   Nielsen TAS, 2013, URBAN RES PRACT, V6, P110, DOI 10.1080/17535069.2013.765108
   O'Driscoll C, 2023, LAND USE POLICY, V128, DOI 10.1016/j.landusepol.2023.106615
   Orvin MM, 2021, TRAVEL BEHAV SOC, V22, P199, DOI 10.1016/j.tbs.2020.10.001
   Phiri D, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12142291
   Pinheiro CDP, 2025, J TRANSP GEOGR, V123, DOI 10.1016/j.jtrangeo.2024.104078
   Probst P, 2019, WIRES DATA MIN KNOWL, V9, DOI 10.1002/widm.1301
   Qiao RL, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-49609-y
   Qiao RL, 2024, LAND USE POLICY, V140, DOI 10.1016/j.landusepol.2024.107117
   Qiao RL, 2024, APPL ENERG, V358, DOI 10.1016/j.apenergy.2023.122598
   Qiu LY, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041145
   Rui J, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15075709
   Schmiedeskamp P, 2016, TRANSPORT RES REC, P94, DOI 10.3141/2593-12
   Scott DM, 2019, TRAVEL BEHAV SOC, V16, P50, DOI 10.1016/j.tbs.2019.04.003
   Shanghai Bureau of Statistics, 2023, 2023 Shanghai statistical yearbook
   Shanghai Municipal Transportation Commission, 2021, About us
   Stefansdottir H, 2019, TRAVEL BEHAV SOC, V16, P201, DOI 10.1016/j.tbs.2018.08.004
   Tian DW, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13102646
   Troped PJ, 2023, J TRANSP HEALTH, V31, DOI 10.1016/j.jth.2023.101629
   Tu YJ, 2019, TRANSPORT RES REC, V2673, P618, DOI 10.1177/0361198119837963
   United Nations Office of Disaster Risk Reduction (UNDRR), 2022, Heatwaves: Addressing a Sweltering Risk in Asia-Pacific
   van Waes A, 2020, ENVIRON INNOV SOC TR, V36, P151, DOI 10.1016/j.eist.2020.06.002
   Wang L, 2023, TRANSPORT RES D-TR E, V117, DOI 10.1016/j.trd.2023.103670
   Wang RY, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102201
   Wessel J, 2020, TRANSPORT RES A-POL, V138, P537, DOI 10.1016/j.tra.2020.06.006
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Xi X., 2024, Applied Mathematics and Nonlinear Sciences, V9, DOI [10.2478/amns.2023.2.00386, DOI 10.2478/AMNS.2023.2.00386]
   Xing YY, 2020, J TRANSP GEOGR, V87, DOI 10.1016/j.jtrangeo.2020.102787
   Yahia MW, 2018, INT J BIOMETEOROL, V62, P373, DOI 10.1007/s00484-017-1380-7
   Yang XH, 2018, TRANSPORT RES A-POL, V107, P246, DOI 10.1016/j.tra.2017.10.017
   Yao X, 2012, ADV ENG FORUM, V5, P56, DOI 10.4028/www.scientific.net/AEF.5.56
   Yu JJ, 2021, J CENT SOUTH UNIV, V28, P1775, DOI 10.1007/s11771-021-4661-6
   Yu K, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11050497
   Yu SB, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103162
   Yu S, 2015, RELIAB ENG SYST SAFE, V137, P6, DOI 10.1016/j.ress.2014.12.007
   Yu Y, 2024, SUSTAIN CITIES SOC, V115, DOI 10.1016/j.scs.2024.105870
   Yuan L, 2024, HABITAT INT, V154, DOI 10.1016/j.habitatint.2024.103216
   Zhang LX, 2024, SCI DATA, V11, DOI 10.1038/s41597-024-03223-1
   Zhang XH, 2021, TRANSPORT RES D-TR E, V98, DOI 10.1016/j.trd.2021.102961
   Zhao CL, 2018, TRANSPORT POLICY, V64, P102, DOI 10.1016/j.tranpol.2018.01.018
   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, 2024, J CLEAN PROD, V457, DOI 10.1016/j.jclepro.2024.142286
   Zhou Y, 2010, NAT HAZARDS, V52, P639, DOI 10.1007/s11069-009-9406-z
   Zhu J., 2020, Human Resilience, DOI [10.1061/9780784482858.040, DOI 10.1061/9780784482858.040]
NR 120
TC 0
Z9 0
U1 7
U2 7
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 MAY
PY 2025
VL 142
AR 104692
DI 10.1016/j.trd.2025.104692
EA MAR 2025
PG 20
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 0KW7F
UT WOS:001449794000001
DA 2025-04-22
ER

PT J
AU Yumagulova, L
   Vertinsky, I
AF Yumagulova, Lilia
   Vertinsky, Ilan
TI Managing trade-offs between specific and general resilience: Insights
   from Canada's Metro Vancouver region
SO CITIES
LA English
DT Article
DE Specific and general resilience; Urban and regional resilience;
   Trade-offs; Flood risk governance; Sea-level rise
ID CLIMATE ADAPTATION; URBAN; LESSONS; COPRODUCTION; PERSPECTIVE;
   SYNERGIES; EQUITY; FACE
AB The concept of resilience has captured the imagination of urbanists and city managers. While the literature on urban and regional resilience has proliferated, our understanding of resilience trade-offs that elected municipal officials and city staff make in their daily practice remains limited. This article addresses this lacuna by examining specific and general resilience trade-offs through a case study of urban and regional planning for floods and sea-level rise in Canada's Metro Vancouver region. We identify the mechanisms that ensure the maintenance of long-term options that are essential to the development of general resilience and highlight the barriers and forces that constrain the investment in general resilience. We find that while there are many examples of nuance and depth in practitioners' deliberations about resilience trade-offs involving fiscal, equity, spatial, temporal, and design dimensions, examples of the application of a consistent transparent framework to incorporate these tradeoffs to support overall decision-making are lacking. We find that in the absence of such explicit frameworks, fiscal and political considerations tend to dominate. While there were some clear mechanisms to articulate tradeoffs leading to specific resilience gains at the municipal level, the losses to general resilience at the regional level remained somewhat unintended and implicit.
C1 [Yumagulova, Lilia; Vertinsky, Ilan] Univ British Columbia, Sauder Sch Business, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia
RP Yumagulova, L (corresponding author), Univ British Columbia, Sauder Sch Business, Vancouver, BC V6T 1Z4, Canada.
EM lily.yumagulova@gmail.com; ilan.vertinsky@ubc.ca
FU Social Sciences and Humanities Research Council of Canada (SSHRC)
   [410-2011-0597]
FX This paper was in part funded through the the Social Sciences and
   Humanities Research Council of Canada (SSHRC) grant 410-2011-0597.
CR Aguilar-Barajas I, 2019, ENVIRON SCI POLICY, V99, P37, DOI 10.1016/j.envsci.2019.05.021
   Allen CR, 2018, ECOL SOC, V23, DOI 10.5751/ES-09920-230103
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2012, Disaster resilience: a national imperative [online], DOI DOI 10.17226/13457
   [Anonymous], 2011, An emergency management framework for Canada
   Arlington Group Planning + Architecture Inc, 2008, FLOOD HAZ AREA LAND
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Butler WH, 2016, J PLAN EDUC RES, V36, P319, DOI 10.1177/0739456X16647161
   Cantelmo A., 2019, IMF WORKING PAPERS, V19, P1, DOI [10.5089/9781498302654.001, DOI 10.5089/9781498302654.001]
   Carlson JM, 2000, PHYS REV LETT, V84, P2529, DOI 10.1103/PhysRevLett.84.2529
   Carpenter SR, 2012, SUSTAINABILITY-BASEL, V4, P3248, DOI 10.3390/su4123248
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chen HX, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17041231
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Colding J., 2010, CRITICAL PLANNING, V17, P2
   Crick F, 2018, SCI TOTAL ENVIRON, V636, P192, DOI 10.1016/j.scitotenv.2018.04.239
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Di Baldassarre G, 2018, HYDROL EARTH SYST SC, V22, P5629, DOI 10.5194/hess-22-5629-2018
   DNV, 2009, DISTR N VANC REP COU
   Dodman D, 2017, INT J URBAN SUSTAIN, V9, P97, DOI 10.1080/19463138.2017.1345740
   Driessen PPJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08921-210453
   Eakin H, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P212
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke Carl., 2003, Individual and Structural Determinants of Environmental Practice, P226, DOI [DOI 10.4324/9781315252377-9, 10.4324/9781315252377-9]
   Fraser Basin Council, 2016, LOW MAINL FLOOD NAN
   GRAHAM J., 1995, Risk vs risk: Tradeoffs in protecting health and the environment
   Gregory RS, 2002, ENVIRON VALUE, V11, P461, DOI 10.3197/096327102129341181
   Hansen SF, 2008, J RISK RES, V11, P475, DOI 10.1080/13669870802124413
   Hegger DLT, 2016, ECOL SOC, V21, DOI 10.5751/ES-08854-210452
   Holling C.S., 1986, Sustainable development of the biosphere/, P217
   Ishtiaque A, 2017, ECOL SOC, V22, DOI [10.5751/ES-09186-220305, 10.5751/es-09186-220305]
   Jeuken A, 2015, J WATER CLIM CHANGE, V6, P711, DOI 10.2166/wcc.2014.141
   Klinsky S, 2012, GLOBAL ENVIRON CHANG, V22, P862, DOI 10.1016/j.gloenvcha.2012.05.008
   Macintosh A, 2013, MITIG ADAPT STRAT GL, V18, P1035, DOI 10.1007/s11027-012-9406-2
   Matin N, 2018, WORLD DEV, V109, P197, DOI 10.1016/j.worlddev.2018.04.020
   McEvoy D, 2006, P I CIVIL ENG-MUNIC, V159, P185, DOI 10.1680/muen.2006.159.4.185
   Mees H, 2017, J ENVIRON POL PLAN, V19, P827, DOI 10.1080/1523908X.2017.1299623
   Metro Vancouver, 2012, DISC PAP BEST PRACT
   Moraci F, 2016, PROCD SOC BEHV, V223, P818, DOI 10.1016/j.sbspro.2016.05.281
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Renn O, 2006, LAND USE POLICY, V23, P34, DOI 10.1016/j.landusepol.2004.08.005
   Sellberg MM, 2018, J ENVIRON MANAGE, V217, P906, DOI 10.1016/j.jenvman.2018.04.012
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   TOBIN GA, 1995, WATER RESOUR BULL, V31, P359, DOI 10.1111/j.1752-1688.1995.tb04025.x
   Tuhkanen H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061924
   UK Cabinet Office, 2011, INFR CORP RES PROGR
   Viguié V, 2012, NAT CLIM CHANGE, V2, P334, DOI 10.1038/NCLIMATE1434
   Walker B, 2011, ECOL SOC, V16
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Walker BH, 2009, ECOL SOC, V14
   Wallace D, 2008, ECOL SOC, V13
   Wiréhn L, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01585-x
   Wong CP, 2015, ECOL LETT, V18, P108, DOI 10.1111/ele.12389
   World Economic Forum, 2019, GLOBAL RISKS REP 202, V15th
   Yumagulova L., 2018, URBAN REGIONAL RESIL
   Yumagulova L, 2020, CAMB J REG ECON SOC, V13, P293, DOI 10.1093/cjres/rsaa029
   Yumagulova L, 2019, ENVIRON SCI POLICY, V100, P66, DOI 10.1016/j.envsci.2019.05.022
NR 62
TC 6
Z9 7
U1 4
U2 36
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 DEC
PY 2021
VL 119
AR 103319
DI 10.1016/j.cities.2021.103319
EA AUG 2021
PG 11
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA WD2HA
UT WOS:000704767300007
DA 2025-04-22
ER

PT J
AU Bush, J
   Doyon, A
AF Bush, Judy
   Doyon, Andreanne
TI Building urban resilience with nature-based solutions: How can urban
   planning contribute?
SO CITIES
LA English
DT Article
DE Urban resilience; Nature-based solutions; Urban planning; Trade-offs;
   Ecosystem services; Transdisciplinarity
ID ECOSYSTEM SERVICES; SUSTAINABILITY; KNOWLEDGE; ECOLOGY; CITIES;
   CHALLENGES; PRINCIPLES; MANAGEMENT; THINKING; SEARCH
AB Cities face increasing environmental, social and economic challenges that together threaten the resilience of urban areas and the residents who live and work there. These challenges include chronic stresses and acute shocks, amplified by climate change impacts. Nature-based solutions have emerged as a concept for integrating ecosystem-based approaches to address a range of societal challenges. Nature-based solutions directly address and contribute to increased urban resilience. However, implementing nature-based solutions is inherently complex, given the range of ecosystem services, their multi-functionality and the trade-offs between functions, and across temporal and spatial scales. Urban planning can play a substantial role to support the implementation of nature-based solutions and to manage trade-offs and conflicts, as well as how social equity dimensions are considered. This paper presents a framework that guides the application of urban planning to nature-based solutions' implementation, by addressing key trade-offs across temporal, spatial, functional and social equity aspects. The framework highlights the key questions, and the supporting information required to address these questions, to underpin the inclusion of nature-based solutions for urban resilience. We find that while urban planning can contribute substantially, there are continuing gaps in how the inherently anthropocentric urban planning processes can give voice to non-human nature.
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
FU Australian Government's National Environmental Science Program through
   the Clean Air and Urban Landscapes Hub
FX This work was supported by the Australian Government's National
   Environmental Science Program through the Clean Air and Urban Landscapes
   Hub.
CR Abson DJ, 2014, ECOL ECON, V103, P29, DOI 10.1016/j.ecolecon.2014.04.012
   Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Ainscough J, 2019, ECOSYST SERV, V36, DOI 10.1016/j.ecoser.2019.01.004
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6
   Albrechts L, 2004, ENVIRON PLANN B, V31, P743, DOI 10.1068/b3065
   Albrechts L, 2017, ROUT ADV REGION ECON, P1, DOI 10.4324/9781315679181-1
   Anguelovski I., 2018, City, V22, P417, DOI [10.1080/13604813.2018.1473126, DOI 10.1080/13604813.2018.1473126]
   [Anonymous], 2016, PLANNING MELBOURNE: LESSONS FOR A SUSTAINABLE CITY
   [Anonymous], 2013, PLANNING SUSTAINABIL
   [Anonymous], 2003, ECOSYSTEMS HUMAN WEL
   [Anonymous], 2015, RESILIENT NEW ORLEAN
   Antrobus D, 2011, URBAN RES PRACT, V4, P207, DOI 10.1080/17535069.2011.579777
   Barnagaud JY, 2019, BIOL CONSERV, V237, P470, DOI 10.1016/j.biocon.2019.07.035
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Bush J, 2017, STAT AUSTR CIT C
   Bush J, 2017, THESIS
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Cash DW, 2006, ECOL SOC, V11
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Coaffee J, 2013, PLAN PRACT RES, V28, P323, DOI 10.1080/02697459.2013.787693
   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
   Colding J, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P228
   Collier MJ, 2013, CITIES, V32, pS21, DOI 10.1016/j.cities.2013.03.010
   Corburn J, 2003, J PLAN EDUC RES, V22, P420, DOI 10.1177/0739456X03022004008
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Davoudi S., 2008, Conceptions of Space and Place in Strategic Spatial Planning
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Depietri Y, 2017, THEOR PRACT URB SUST, P91, DOI 10.1007/978-3-319-56091-5_6
   Dorst H, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101620
   Duncan JMA, 2019, SCI TOTAL ENVIRON, V656, P118, DOI 10.1016/j.scitotenv.2018.11.223
   EC, 2015, NAT BAS SOL RE NAT C
   Elmqvist T., 2014, RESILIENT SUSTAINABL, P19, DOI [10.4324/9780203593066, DOI 10.4324/9780203593066]
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Eraydin Ayda., 2013, RESILIENCE THINKING
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Folke Carl, 2003, NAVIGATING SOCIAL EC, P352, DOI [10.1017/cbo9780511541957.020, DOI 10.1017/CBO9780511541957.020]
   Frantzeskaki N, 2019, BIOSCIENCE, DOI [10.1093/biosci/biz042, DOI 10.1093/BIOSCI/BIZ042.]
   Friend J., 2005, PLANNING PRESSURE ST, Vthird
   Gardner J., 2019, BIOPHILIC CITIES J, V2, P10
   Garrard GE, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12411
   Gomez-Baggethun Erik, 2013, P175
   Hagan Susannah., 2014, Ecological Urbanism: The Nature of the City, V1
   HEALEY P, 1992, J AM PLANN ASSOC, V58, P9, DOI 10.1080/01944369208975531
   Healey P, 1998, ENVIRON PLANN A, V30, P1531, DOI 10.1068/a301531
   Healey P, 2009, PLAN THEORY PRACT, V10, P439, DOI 10.1080/14649350903417191
   Innes JudithEleanor., 2010, Planning with complexity: an introduction to collaborative rationality for public policy
   Jax K, 2018, ECOSYST SERV, V29, P415, DOI 10.1016/j.ecoser.2017.08.001
   Jennings V, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030452
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kaza Nikhil., 2006, PLAN THEOR, V5, P255, DOI DOI 10.1177/1473095206068630
   Kendal D, 2018, GLOBAL ECOL BIOGEOGR, V27, P629, DOI 10.1111/geb.12728
   Kull CA, 2015, GEOFORUM, V61, P122, DOI 10.1016/j.geoforum.2015.03.004
   Legacy C, 2010, ENVIRON PLANN A, V42, P2705, DOI 10.1068/a43164
   Li DL, 2018, GLOBAL CHANGE BIOL, V24, P4095, DOI 10.1111/gcb.14327
   Lyytimäki J, 2015, ECOSYST SERV, V12, P136, DOI 10.1016/j.ecoser.2014.11.008
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   McDonough K, 2017, ECOSYST SERV, V25, P82, DOI 10.1016/j.ecoser.2017.03.022
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   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
   Mexia T, 2018, ENVIRON RES, V160, P469, DOI 10.1016/j.envres.2017.10.023
   Parris K.M., 2016, Ecology of urban environments
   Parris KM, 2018, CITIES, V83, P44, DOI 10.1016/j.cities.2018.06.007
   Phelan K, 2019, URBAN POLICY RES, V37, DOI 10.1080/08111146.2018.1518813
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Purcell M, 2009, PLAN THEOR, V8, P140, DOI 10.1177/1473095209102232
   Quigley M, 2018, J URBAN DES, V23, P581, DOI 10.1080/13574809.2018.1440176
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Raynor KE, 2017, AUST PLAN, V54, P215, DOI 10.1080/07293682.2018.1477812
   Resilient Melbourne, 2016, RES MELB RES STRAT G
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rydin Y, 2012, LANCET, V379, P2079, DOI 10.1016/S0140-6736(12)60435-8
   Saunders ME, 2016, CONSERV BIOL, V30, P1363, DOI 10.1111/cobi.12740
   Schatz L, 2016, AUST PLAN, V53, P37, DOI 10.1080/07293682.2015.1135816
   Schröter M, 2014, CONSERV LETT, V7, P514, DOI 10.1111/conl.12091
   Scott M, 2016, PLAN THEORY PRACT, V17, P267, DOI 10.1080/14649357.2016.1158907
   Temmerman S, 2013, NATURE, V504, P79, DOI 10.1038/nature12859
   Threlfall CG, 2017, J APPL ECOL, V54, P1874, DOI 10.1111/1365-2664.12876
   Turkelboom F, 2018, ECOSYST SERV, V29, P566, DOI 10.1016/j.ecoser.2017.10.011
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Wilkinson C, 2011, TOWN PLAN REV, V82, P595, DOI 10.3828/tpr.2011.34
   Xu L, 2015, SUSTAIN SCI, V10, P123, DOI 10.1007/s11625-014-0274-4
NR 86
TC 226
Z9 240
U1 79
U2 577
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 DEC
PY 2019
VL 95
AR 102483
DI 10.1016/j.cities.2019.102483
PG 8
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA JQ1YG
UT WOS:000498748100037
OA Green Published, hybrid
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Assumma, V
   Bottero, M
   Datola, G
   De Angelis, E
   Monaco, R
AF Assumma, Vanessa
   Bottero, Marta
   Datola, Giulia
   De Angelis, Elena
   Monaco, Roberto
TI Dynamic Models for Exploring the Resilience in Territorial Scenarios
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; dynamic models; decision making; scenario planning
ID SYSTEM DYNAMICS; DECISION-MAKING; SUSTAINABILITY; SIMULATION; FRAMEWORK;
   CLIMATE; TRANSFORMATION; STRATEGIES; CAPACITY
AB The present paper focuses on the role covered by dynamic models as support for the decision-making process in the evaluation of policies and actions for increasing the resilience of cities and territories. In recent decades, urban resilience has been recognized as a dynamic and multidimensional phenomenon that characterizes urban and metropolitan area dynamics. Therefore, it may be considered a fundamental aspect of urban and territorial planning. The employment of quantitative methods, such as dynamic models, is useful for the prediction of the dynamic behavior of territories and of their resilience. The present work discusses the system dynamics model and the Lotka-Volterra cooperative systems and shows how these models can aid technicians in resilience assessment and also decision makers in the definition of policies and actions, especially if integrated in wide evaluation frameworks for urban resilience achievements. This paper aims to provide an epistemological perspective of the application of dynamic models in resilience assessment, underlying the possible contribution to this issue through the analysis of a real case study and methodological framework. The main objective of this work is to lay the basis for future compared applications of these two models to the same case study.
C1 [Assumma, Vanessa; Bottero, Marta; Datola, Giulia; De Angelis, Elena] Politecn Torino, Interuniv Dept Reg & Urban Studies & Planning, I-10129 Turin, Italy.
   [Monaco, Roberto] Politecn Torino, I-10129 Turin, Italy.
C3 Polytechnic University of Turin; Polytechnic University of Turin
RP Assumma, V (corresponding author), Politecn Torino, Interuniv Dept Reg & Urban Studies & Planning, I-10129 Turin, Italy.
EM vanessa.assumma@polito.it; marta.bottero@polito.it;
   giulia.datola@polito.it; elena.deangelis@polito.it;
   roberto.monaco@formerfaculty.polito.it
RI De Angelis, Elena/R-9684-2019; Assumma, Vanessa/ABH-4247-2020; Datola,
   Giulia/AAQ-9019-2020
OI Assumma, Vanessa/0000-0002-4500-0413; Datola,
   Giulia/0000-0002-5522-3573; Bottero, Marta/0000-0001-8983-2628
FU Department of Regional Studies and Planning, DIST, Politecnico di Torino
   [60_RDI19BOM01]
FX Part of this research has been financed by Department of Regional
   Studies and Planning, DIST, Politecnico di Torino within the research
   project titled VALIUM (Valuation for Integrated Urban Management) [grant
   number 60_RDI19BOM01].
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], INTRO MODELLI MATEMA
   [Anonymous], 2005, Hyogo Framework for Action 2005-2015: International Strategy for Disaster Reduction
   [Anonymous], URBAN RESILIENCE
   [Anonymous], P INT C AGR ENG CIGR
   [Anonymous], PROG HUM GEOG
   [Anonymous], 2019, SUSTAINABILITY BASEL, DOI DOI 10.3390/SU11205605
   [Anonymous], INT C COMP SCI ITS A
   [Anonymous], 2010, Scienze Regionali
   [Anonymous], R SOC M
   [Anonymous], 2006, Resilience Engineering
   [Anonymous], 2005, P 23 INT SYST DYN C
   [Anonymous], P 40 AISRE C CRIS RE
   [Anonymous], MATH MODELLING SCI T
   [Anonymous], 2018, VALORI E VALUTAZIONI
   [Anonymous], P LECT NOTES ENERGY
   [Anonymous], ENV TERRIT MODEL PLA
   [Anonymous], 2019, SUSTAINABILITY BASEL, DOI DOI 10.3390/su11205794
   Assumma V, 2019, ECOL INDIC, V105, P156, DOI 10.1016/j.ecolind.2019.04.071
   Assumma V, 2016, PROCD SOC BEHV, V223, P557, DOI 10.1010/j.sbspro.2016.05.340
   Bala BK, 2017, SPRING TEXT BUS ECON, P1, DOI 10.1007/978-981-10-2045-2
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Becchio C, 2018, LAND USE POLICY, V78, P803, DOI 10.1016/j.landusepol.2018.06.048
   Blumberga A, 2011, System Dynamics for Environmental Engineering Students
   Bottero M, 2017, LECT NOTES COMPUT SC, V10406, P338, DOI 10.1007/978-3-319-62398-6_24
   Bottero M, 2015, LECT NOTES COMPUT SC, V9157, P20, DOI 10.1007/978-3-319-21470-2_2
   Bottero M, 2011, LANDSCAPE INDICATORS: ASSESSING AND MONITORING LANDSCAPE QUALITY, P167, DOI 10.1007/978-94-007-0366-7_8
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Collins Aengus., 2019, The Global Risks Report 2019
   Coutu DL, 2002, HARVARD BUS REV, V80, P46
   Crookes DJ, 2016, S AFR J ECON MANAG S, V19, P733, DOI [10.4102/sajems.v19i5.1587, 10.17159/2222-3436/2016/v19n5a4]
   Cutter S L., 2008, Geography, V1, P2301
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Datola G, 2019, LECT NOTES COMPUT SC, V11622, P108, DOI 10.1007/978-3-030-24305-0_9
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Egilmez G, 2012, TRANSPORT RES A-POL, V46, P1086, DOI 10.1016/j.tra.2012.04.011
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Elsawah S, 2017, ENVIRON MODELL SOFTW, V93, P127, DOI 10.1016/j.envsoft.2017.03.001
   Fiksel J, 2003, ENVIRON SCI TECHNOL, V37, P5330, DOI 10.1021/es0344819
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Ford F.A., 1999, MODELING ENV INTRO S
   Forrester J.W., 1990, Principles of Systems
   Forrester JW., 1964, IND DYNAMICS
   G e NASRITDINOV., 2010, Current Research Journal of Economic Theory, V2, P32
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Gencer E. A., 2017, A handbook for local government leaders
   Giordano G, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11221-0
   Gobattoni F, 2014, ACTA APPL MATH, V132, P321, DOI 10.1007/s10440-014-9916-x
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Goodwin R., 1967, Essays in Economic Dynamics, P165
   Guan DJ, 2011, ECOL INDIC, V11, P1333, DOI 10.1016/j.ecolind.2011.02.007
   Güneralp B, 2008, GLOBAL ENVIRON CHANG, V18, P720, DOI 10.1016/j.gloenvcha.2008.07.004
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hovmand PS, 2012, SYST RES BEHAV SCI, V29, P179, DOI 10.1002/sres.2105
   Jakeman AJ, 2006, ENVIRON MODELL SOFTW, V21, P602, DOI 10.1016/j.envsoft.2006.01.004
   Kelly RA, 2013, ENVIRON MODELL SOFTW, V47, P159, DOI 10.1016/j.envsoft.2013.05.005
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kunc M, 2018, J SIMUL, V12, P115, DOI 10.1080/17477778.2018.1468950
   Lane DC, 2008, SYST RES BEHAV SCI, V25, P521, DOI 10.1002/sres.911
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Levin SA, 2014, MODEL DYN SYST, P3, DOI 10.1007/978-3-319-05615-9_1
   Lotka AJ, 1922, P NATL ACAD SCI USA, V8, P147, DOI 10.1073/pnas.8.6.147
   Luna-Reyes LF, 2003, SYST DYNAM REV, V19, P271, DOI 10.1002/sdr.280
   Luthans F., 2006, HUM RESOUR DEV REV, V5, P25, DOI [10.1177/1534484305285335, DOI 10.1177/1534484305285335]
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Monaco R, 2015, SMART EVALUATION AND INTEGRATED DESIGN IN REGIONAL DEVELOPMENT: TERRITORIAL SCENARIOS IN TRENTINO, ITALY, P97
   Mushir S., 2019, MAKING CITIES RESILI, DOI [10.1007/978-3-319-94932-1_11, DOI 10.1007/978-3-319-94932-1_11]
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Neuwirth C, 2015, ENVIRON MODELL SOFTW, V65, P30, DOI 10.1016/j.envsoft.2014.11.026
   Norton J, 2015, ENVIRON MODELL SOFTW, V69, P166, DOI 10.1016/j.envsoft.2015.03.020
   Pagano A, 2018, WATER RESOUR MANAG, V32, P2131, DOI 10.1007/s11269-018-1922-8
   Park M, 2013, MATH COMPUT MODEL, V57, P2082, DOI 10.1016/j.mcm.2011.05.058
   Bach MP, 2020, KYBERNETES, V49, P460, DOI 10.1108/K-04-2018-0210
   Pelorosso R, 2017, ECOSYST SERV, V26, P476, DOI 10.1016/j.ecoser.2017.05.016
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pierce JC, 2011, ENVIRON POLIT, V20, P566, DOI 10.1080/09644016.2011.589580
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   Pluchinotta I, 2018, J ENVIRON MANAGE, V223, P815, DOI 10.1016/j.jenvman.2018.06.083
   Saaty T.L., 1980, ANAL HIERARCHY PROCE
   Schwarz N, 2010, ENVIRON PLANN B, V37, P265, DOI 10.1068/b35087
   Shafiei E, 2013, TRANSPORT REV, V33, P44, DOI 10.1080/01441647.2012.745632
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Sharma A, 2014, 2014 INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC), P1, DOI 10.1109/PDGC.2014.7030705
   Shepherd SP, 2014, TRANSPORTMETRICA B, V2, P83, DOI 10.1080/21680566.2014.916236
   Susnik J, 2012, SCI TOTAL ENVIRON, V440, P290, DOI 10.1016/j.scitotenv.2012.05.085
   Swart J, 1990, SYST DYNAM REV, V6, P94, DOI 10.1002/sdr.4260060106
   Tan YT, 2018, J CLEAN PROD, V199, P1107, DOI 10.1016/j.jclepro.2018.07.154
   Tanner Thomas., 2009, IDS Work. Pap, DOI 10.1111/j.2040-0209.2009.003152.x
   Thompson BP, 2010, BUILD ENVIRON, V45, P1006, DOI 10.1016/j.buildenv.2009.10.008
   Tompkins EL, 2008, ENVIRON SCI POLICY, V11, P1, DOI 10.1016/j.envsci.2007.06.004
   Turner M.G., 2015, Landscape Ecology in Theory and Practice: Pattern and Process, DOI [10.1007/978-1-4939-2794-4, DOI 10.1007/978-1-4939-2794-47]
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Walker B., 2004, Ecology and Society, V9, P5
   Wang L, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102181
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Wu DS, 2018, ENVIRON RES, V164, P70, DOI 10.1016/j.envres.2018.01.029
   Yao H, 2011, AUTOMAT CONSTR, V20, P1060, DOI 10.1016/j.autcon.2011.04.007
   Yu CH, 2003, J CHIN INST ENG, V26, P607, DOI 10.1080/02533839.2003.9670815
   Yuan HP, 2012, WASTE MANAGE, V32, P521, DOI 10.1016/j.wasman.2011.11.006
NR 101
TC 32
Z9 32
U1 7
U2 70
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2020
VL 12
IS 1
AR 3
DI 10.3390/su12010003
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 KX5YC
UT WOS:000521955600003
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU McEachern, MG
   Warnaby, G
   Moraes, C
AF McEachern, Morven G.
   Warnaby, Gary
   Moraes, Caroline
TI The Role of Community-Led Food Retailers in Enabling Urban Resilience
SO SUSTAINABILITY
LA English
DT Article
DE community resilience; food retailing; retail resilience; sustainability;
   moral values; urban
ID SUSTAINABILITY; ORIENTATION; TOWNS
AB Our research examines the extent to which community-led food retailers (CLFRs) contribute to the resilience and sustainability of urban retail systems and communities in the UK, contributing to existing debates on the sustainability and resilience of the UK's urban retail sector. While existing literature has predominantly focused on larger retail multiples, we suggest more attention be paid to small, independent retailers as they possess a broader, more diffuse spatiality and societal impact than that of the immediate locale. Moreover, their local embeddedness and understanding of the needs of the local customer base provide a key source of potentially sustainable competitive advantage. Using spatial and relational resilience theories, and drawing on 14 original qualitative interviews with CLFRs, we establish the complex links between community, place, social relations, moral values, and resilience that manifest through CLFRs. In doing so, we advance the conceptualization of community resilience by acknowledging that in order to realise the networked, resilient capacities of a community, the moral values and behavior of the retail community need to be ascertained. Implications and relevant recommendations are provided to secure a more sustainable set of capacities needed to ensure resilient, urban retail systems which benefit local communities.
C1 [McEachern, Morven G.] Univ Huddersfield, Dept Management, Huddersfield HD1 3DH, W Yorkshire, England.
   [Warnaby, Gary] Metropolitan Univ, Business Sch, Manchester M15 6BH, Lancs, England.
   [Moraes, Caroline] Univ Birmingham, Dept Mkt, Birmingham B15 2TT, W Midlands, England.
C3 University of Huddersfield; Manchester Metropolitan University;
   University of Birmingham
RP McEachern, MG (corresponding author), Univ Huddersfield, Dept Management, Huddersfield HD1 3DH, W Yorkshire, England.
EM m.mceachern@hud.ac.uk; g.warnaby@mmu.ac.uk; c.moraes@bham.ac.uk
RI McEachern, Morven/J-2867-2019; Moraes, Caroline/Y-7336-2018
OI Moraes, Caroline/0000-0002-9654-3725; Warnaby, Gary/0000-0002-6696-6671;
   McEachern, Morven/0000-0002-2538-494X
FU Academy of Marketing Research Fund
FX This research project was funded by the Academy of Marketing Research
   Fund 2015-16.
CR Adler PaulS., 2002, ACAD MANAGE REV, V27, P17, DOI 10.5465/amr.2002.5922314
   Anderson AR, 2002, ENTREP REGION DEV, V14, P193, DOI 10.1080/08985620110112079
   Aubry C, 2013, FOOD POLICY, V41, P85, DOI 10.1016/j.foodpol.2013.04.006
   BAKER S, 2014, ADV CONSUM RES, V42, P7
   Barata-Salgueiro T, 2021, INT REV RETAIL DISTR, V31, P393, DOI 10.1080/09593969.2021.1873816
   Barata-Salgueiro T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229433
   Baron S., 2011, RELATIONSHIP MARKETI
   Batat W, 2016, MARKETING THEOR, V16, P561, DOI 10.1177/1470593116649793
   Bourdieu P., 1979, HDB THEORY RES SOCIO, DOI DOI 10.1002/9780470755679.CH15
   BRC, 2021, VIS UK RET IND DEL S
   Burt SL, 2003, BRIT J MANAGE, V14, P237, DOI 10.1111/1467-8551.00377
   Cachinho H, 2014, CITIES, V36, P131, DOI 10.1016/j.cities.2012.10.005
   Calderwood E, 2012, INT J RETAIL DISTRIB, V40, P592, DOI 10.1108/09590551211245407
   Chkanikova O., 2011, OVERVIEW SUSTAINABIL
   Clarke I, 2010, INT REV RETAIL DISTR, V20, P187, DOI 10.1080/09593961003701783
   Coaffee J, 2013, PLAN PRACT RES, V28, P323, DOI 10.1080/02697459.2013.787693
   Coca-Stefaniak A, 2005, J RETAIL CONSUM SERV, V12, P357, DOI 10.1016/j.jretconser.2004.11.007
   Creswell J., 2009, Research Design, DOI 10.1080/15424065.2022.2046231
   Crouch M, 2006, SOC SCI INFORM, V45, P483, DOI 10.1177/0539018406069584
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dawson J., 2008, The retailing reader
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   DeVerteuil G., 2016, CITY, V20, P143, DOI [DOI 10.1080/13604813.2015.1125714, https://doi.org/10.1080/13604813.2015.1125714]
   Doherty B., 2014, MANAGEMENT SOCIAL EN
   Fuller T, 2006, J BUS ETHICS, V67, P287, DOI 10.1007/s10551-006-9185-3
   Gioia DA, 2013, ORGAN RES METHODS, V16, P15, DOI 10.1177/1094428112452151
   Golubchikov O, P RGS IBG ANN INT C
   Goulding C, 2018, EUR J OPER RES, V268, P887, DOI 10.1016/j.ejor.2017.11.066
   Grinberger AY, 2014, PROC INST CIV ENG-U, V167, P115, DOI 10.1680/udap.13.00021
   Gupta AK, 2003, FUTURES, V35, P975, DOI 10.1016/S0016-3287(03)00053-3
   Haugh H, 2005, SOC ENTERP J, V1, P1, DOI 10.1108/17508610580000703
   Holweg Christina., 2010, Supply Chain Forum: An International Journal, V11, P50, DOI [10.1080/16258312.2010.11517246, DOI 10.1080/16258312.2010.11517246]
   Jamali D, 2009, J BUS ETHICS, V87, P355, DOI 10.1007/s10551-008-9925-7
   Jones P, 2013, J PUBLIC AFF, V13, P33, DOI 10.1002/pa.1440
   Jones P, 2008, INT J RETAIL DISTRIB, V36, P995, DOI 10.1108/09590550810919397
   Kay A., 2006, Community Development Journal, V41, P160, DOI DOI 10.1093/CDJ/BSI045
   Keitsch M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030829
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Longstaff P.H., 2005, SECURITY RESILIENCE, P1
   Martin F., 2010, Social Enterprise: Developing Sustainable Businesses
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mason M, 2010, FORUM QUALITATIVE SO, DOI [10.17169/fqs-11.3.1428, DOI 10.17169/FQS-11.3.1428]
   McArthur E, 2016, J MACROMARKETING, V36, P272, DOI 10.1177/0276146715602529
   McEachern M.G., 2018, CASE STUDIES FOOD RE
   McEachern MG, 2010, J MARKET MANAG-UK, V26, P395, DOI 10.1080/02672570903512494
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Megicks P, 2008, INT REV RETAIL DISTR, V18, P105, DOI 10.1080/09593960701778192
   Baker SM, 2007, J PUBLIC POLICY MARK, V26, P6, DOI 10.1509/jppm.26.1.6
   Merlo O, 2006, J BUS RES, V59, P1214, DOI 10.1016/j.jbusres.2006.09.021
   Miles MB, 2020, Qualitative data analysis: A methods sourcebook, P380, DOI DOI 10.4236/JGIS.2012.44041
   Moufahim M., 2017, JMM SPECIAL ISSUE CA
   Muniz AM, 2001, J CONSUM RES, V27, P412, DOI 10.1086/319618
   Nahapiet J, 1998, ACAD MANAGE REV, V23, P242, DOI 10.2307/259373
   Nguyen HL, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197896
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Nova-Reyes A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12083141
   Ozanne LK, 2016, EUR J MARKETING, V50, P330, DOI 10.1108/EJM-12-2014-0802
   Parfitt Julian, 2016, WRAP
   Peredo AM, 2006, ACAD MANAGE REV, V31, P309, DOI 10.5465/AMR.2006.20208683
   Peter P.C., 2016, MARKETING THEOR, V16, P565
   Pratt MG, 2009, ACAD MANAGE J, V52, P856, DOI 10.5465/AMJ.2009.44632557
   Rahman M, 2012, HUMANOMICS, V28, P118, DOI 10.1108/08288661211228889
   Rapport Nigel., 1996, Encyclopedia of Social and Cultural Anthropology, P114
   Reinecke J, 2016, BUS ETHICS Q, V26, pXIII, DOI 10.1017/beq.2016.67
   RIDLEY-DUFF R., 2016, Understanding Social Enterprise: Theory and Practice
   Robbins G.E., 2012, Competition Forum, V10, P176
   Sen S, 2013, J BUS ETHICS, V118, P413, DOI 10.1007/s10551-012-1598-6
   Silkoset R, 2013, EUR J MARKETING, V47, P174, DOI 10.1108/03090561311285501
   Smith A., 2000, The International Review of Retail, Distribution and Consumer Research, V10, P205, DOI DOI 10.1080/095939600342361
   Sparks L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105631
   STAR SL, 1989, SOC STUD SCI, V19, P387, DOI 10.1177/030631289019003001
   Stumpp EM, 2013, CITIES, V32, P164, DOI 10.1016/j.cities.2013.01.003
   Szmigin IT, 2020, EUR J MARKETING, V54, P1883, DOI 10.1108/EJM-04-2018-0253
   Thornton LM, 2013, INT J PHYS DISTR LOG, V43, P786, DOI 10.1108/IJPDLM-09-2012-0298
   Bansal P, 2011, ACAD MANAGE J, V54, P233, DOI 10.5465/AMJ.2011.60262792
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Wrigley N., 2015, British High Streets: From Crisis to Recovery? A Comprehensive Review of the Evidence
   Wrigley N, 2014, EVOLVING HIGH STREET
   Wrigley N, 2019, ENVIRON PLANN A, V51, P112, DOI 10.1177/0308518X18796507
   Yunus M, 2010, LONG RANGE PLANN, V43, P308, DOI 10.1016/j.lrp.2009.12.005
NR 80
TC 12
Z9 12
U1 3
U2 20
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 14
AR 7563
DI 10.3390/su13147563
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 TO5SA
UT WOS:000676969900001
OA Green Accepted, gold, Green Published
DA 2025-04-22
ER

PT J
AU Miguez, MG
   Veról, AP
AF Miguez, Marcelo G.
   Verol, Aline P.
TI A catchment scale Integrated Flood Resilience Index to support decision
   making in urban flood control design
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Urban flooding; flood risk; time-space analysis; multi-criteria
   analysis; urban design
ID RISK; VULNERABILITY; MANAGEMENT; PRIORITIES; LESSONS; HAZARD
AB Urban floods are becoming a great concern of growing cities. Urban growth pressed by poverty and social drivers, together with possible climate change, may pose difficult challenges and increasing risk to safety and urban livability. In the face of this growing risk, urban drainage management is being pressed to move towards a flood risk management approach and that builds city resilience, or the capacity to continue functioning even in future hazardous conditions. In this context, this study proposes the development of an integrated Flood Resilience Index, departing from mathematical modelling tools and flood risk concepts. The Flood Resilience Index was built to support decisionmaking process in choosing design alternatives that improve flood control responses in future scenarios that surpass design standards. This way, flood control design decisions would be made under a quantitative assessment of the performance of a design alternative on potential flooding events in the long term. Flood Resilience Index was successfully tested in a watershed in the metropolitan region of Rio de Janeiro/Brazil where there is uncontrolled urban growth. It identified the best alternative to be a combined approach including sustainable urban drainage measures with river restoration techniques. When looking to the city centre area, this alternative scored a Flood Resilience Index of 47 over 100 against a conservative alternative of a dam, which only scored 20.
C1 [Miguez, Marcelo G.; Verol, Aline P.] Univ Fed Rio de Janeiro, Rio De Janeiro, Brazil.
C3 Universidade Federal do Rio de Janeiro
RP Miguez, MG (corresponding author), Univ Fed Rio de Janeiro, COPPE, Av Athos da Silveira Ramos 149,CT Sala 1206, BR-21941909 Rio De Janeiro, Brazil.
EM marcelomiguez@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
FU CNPQ
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 CNPQ.
CR Aerts Jeroen., 2009, Connecting Delta Cities
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahiablame LM, 2012, WATER AIR SOIL POLL, V223, P4253, DOI 10.1007/s11270-012-1189-2
   Andersson E, 2006, ECOL SOC, V11
   ANDOH RYG, 1999, P 8 INT C URB STORM
   [Anonymous], 1968, HYDROLOGY URBAN LAND
   [Anonymous], URBAN WATER J
   Balica SF, 2009, WATER SCI TECHNOL, V60, P2571, DOI 10.2166/wst.2009.183
   Britto ALNP, 2011, AN 19 S BRAS REC HID
   Chen P, 2012, WATER SCI TECHNOL, V65, P1332, DOI 10.2166/wst.2012.027
   Chocat B, 2007, INDOOR BUILT ENVIRON, V16, P273, DOI 10.1177/1420326X07078854
   *CIRF, 2006, RIQ FLUV IT LIN GUID
   CIRIA, 2010, FLOOD RESILIENCE RES
   COPPETEC, 2009, PLAN DIR REC HIDR RE
   Costa IA, 2011, INTERVENCAO PROJETUA
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davis AP, 2008, J HYDROL ENG, V13, P90, DOI 10.1061/(ASCE)1084-0699(2008)13:2(90)
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   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
   Koks EE, 2015, ENVIRON SCI POLICY, V47, P42, DOI 10.1016/j.envsci.2014.10.013
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Li GF, 2013, STOCH ENV RES RISK A, V27, P1683, DOI 10.1007/s00477-013-0706-1
   Marsalek J, 2002, WATER SCI TECHNOL, V46, P1
   Mascarenhas FCB, 2002, WATER INT, V27, P208, DOI 10.1080/02508060208686994
   Miguez M. G., 2007, International Journal of Sustainable Development and Planning, V2, P153, DOI 10.2495/SDP-V2-N2-153-166
   Miguez MG, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000219
   Miguez MG, 2009, J URBAN PLAN DEV, V135, P100, DOI 10.1061/(ASCE)UP.1943-5444.0000012
   Miguez MG, 2010, INTECH, DOI [10.5772/9574, DOI 10.5772/9574]
   Müller A, 2013, NAT HAZARDS, V65, P1931, DOI 10.1007/s11069-012-0453-5
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Nardini A, 2012, J FLOOD RISK MANAG, V5, P111, DOI 10.1111/j.1753-318X.2011.01132.x
   Nilsson C, 2007, ECOL SOC, V12
   Okazawa Y, 2011, HYDROLOG SCI J, V56, P789, DOI 10.1080/02626667.2011.583249
   Pitt R, 2008, J IRRIG DRAIN ENG, V134, P548, DOI 10.1061/(ASCE)0733-9437(2008)134:5(548)
   Prasad N, 2009, CLIMATE RESILIENT CITIES: A PRIMER ON REDUCING VULNERABILITIES TO DISASTERS, P1, DOI 10.1596/978-0-8213-7766-6
   Prince George's County, 1999, LOW IMP DEV INT DES
   Razafindrabe BHN, 2015, ENVIRON HAZARDS-UK, V14, P16, DOI 10.1080/17477891.2014.981497
   Roy AH, 2008, ENVIRON MANAGE, V42, P344, DOI 10.1007/s00267-008-9119-1
   Roy-Poirier A, 2010, J ENVIRON ENG, V136, P878, DOI 10.1061/(ASCE)EE.1943-7870.0000227
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Sayers P., 2013, FLOOD RISK MANAGEMEN
   Shields FD, 2003, J HYDRAUL ENG-ASCE, V129, P575, DOI 10.1061/(ASCE)0733-9429(2003)129:8(575)
   Stovin V, 2010, WATER ENVIRON J, V24, P192, DOI 10.1111/j.1747-6593.2009.00174.x
   Tsakiris G, 2014, NAT HAZARD EARTH SYS, V14, P1361, DOI 10.5194/nhess-14-1361-2014
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   Verol AP, 2013, THESIS
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Woods-Ballard B., 2007, The SuDS Manual CIRIA C697
   Zanobetti D, 1968, MODELE MATH DELTA ME
   Zonensein J., 2008, Proceedings of the 11th international conference on urban drainage, P31
NR 50
TC 78
Z9 87
U1 13
U2 152
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 SEP
PY 2017
VL 44
IS 5
BP 925
EP 946
DI 10.1177/0265813516655799
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 FG8NR
UT WOS:000410690800008
DA 2025-04-22
ER

PT J
AU Aldunce, P
   Bórquez, R
   Adler, C
   Blanco, G
   Garreaud, R
AF Aldunce, Paulina
   Borquez, Roxana
   Adler, Carolina
   Blanco, Gustavo
   Garreaud, Rene
TI Unpacking Resilience for Adaptation: Incorporating Practitioners'
   Experiences through a Transdisciplinary Approach to the Case of Drought
   in Chile
SO SUSTAINABILITY
LA English
DT Article
DE drought; Chile; climate change; resilience; urban and regional
   resilience; adaptation; transdisciplinarity; knowledge co-production
ID CLIMATE-CHANGE ADAPTATION; COMMUNITY RESILIENCE; ENVIRONMENTAL-CHANGE;
   URBAN; GOVERNANCE; BOUNDARY; LESSONS; VULNERABILITY; MANAGEMENT;
   RESPONSES
AB Current debate on the implementation of resilience in addressing climatic impacts calls for more pragmatic means of reducing losses. In this study we aimed to generate context-specific knowledge about resilience factors for addressing the impacts of drought, with the expectation that bringing forth experiential knowledge on how impacts were addressed in the past would shed light on what constitutes key resilience factors for practitioners working in urban contexts. The study was carried in three of the largest cities in Chile: Santiago, Concepcion, and Valdivia. The analytical framework consists of urban and regional resilience incorporating transdisciplinary approaches applying the Resilience-Wheel tool, combined with participatory methods for the co-production of knowledge and qualitative content analysis of documents and workshops. Results show that key determinants of building resilience to drought were: improving education and access to information, enhancing preparedness, promoting technology transfer, reinforcing organizational linkages and collaboration, decentralizing governance, and encouraging citizen participation. The Resilience-Wheel was useful for navigating the conceptual complexity and diversity of perspectives inherent among social actors. The transdisciplinary approach allowed us to co-produce key knowledge that can be applied to build resilience in future, through a bottom-up approach that bridges the science-policy interface.
C1 [Aldunce, Paulina; Borquez, Roxana; Blanco, Gustavo; Garreaud, Rene] Ctr Climate & Resilience Res, CR2,Blanco Encalada 2002,4 Piso, Santiago 8370449, Region Metropol, Chile.
   [Aldunce, Paulina] Univ Chile, Dept Environm Sci & Nat Resources, Ave Santa Rosa 11-315, Santiago 8820808, Region Metropol, Chile.
   [Borquez, Roxana] Kings Coll London, Dept Geog, Room K4-10,Fourth Floor,Strand Campus, London WC2R 2LS, England.
   [Adler, Carolina] ETH, Inst Environm Decis, Univ Str 22, CH-8092 Zurich, Switzerland.
   [Adler, Carolina] ETH, Transdisciplinar Lab, Univ Str 22, CH-8092 Zurich, Switzerland.
   [Blanco, Gustavo] Univ Austral Chile, Inst Hist & Ciencias Sociales, Campus Isla Teja,Casilla 567, Valdivia, Chile.
   [Garreaud, Rene] Univ Chile, Dept Geofis, Blanco Encalada 2002,4 Piso, Santiago 8370449, Region Metropol, Chile.
C3 Universidad de Chile; University of London; King's College London; Swiss
   Federal Institutes of Technology Domain; ETH Zurich; Swiss Federal
   Institutes of Technology Domain; ETH Zurich; Universidad Austral de
   Chile; Universidad de Chile
RP Aldunce, P (corresponding author), Ctr Climate & Resilience Res, CR2,Blanco Encalada 2002,4 Piso, Santiago 8370449, Region Metropol, Chile.; Aldunce, P (corresponding author), Univ Chile, Dept Environm Sci & Nat Resources, Ave Santa Rosa 11-315, Santiago 8820808, Region Metropol, Chile.
EM paldunce@uchile.cl; roxana.borquez@kcl.ac.uk;
   carolina.adler@env.ethz.ch; gblanco@uach.cl; rgarreau@dgf.uchile.cl
RI Blanco-Wells, Gustavo/N-8046-2019; Adler, Carolina/P-6132-2019;
   Garreaud, Rene/I-6298-2016; Bórquez, Roxana/AAF-7632-2020; Aldunce,
   Paulina/T-2125-2017; Blanco-Wells, Gustavo/D-2249-2016; Adler,
   Carolina/B-7823-2012
OI Garreaud, Rene/0000-0002-7875-2443; Aldunce,
   Paulina/0000-0002-1159-9333; Blanco-Wells, Gustavo/0000-0002-4980-3424;
   Borquez, Roxana/0000-0002-6389-0800; Adler, Carolina/0000-0002-8787-2797
FU Center Resilience and Climate Research CR2 FONDAP [1511009]; project
   FONDECYT [11140394]
FX This publication received the support of and is a contribution to the
   Center Resilience and Climate Research CR2 FONDAP #1511009 and project
   FONDECYT No 11140394 "Moving towards adaptation to climate change:
   current practices developed in Chile, their usefulness, barriers to
   implementation, and opportunities for improvement". We thank the
   participants of the three workshops for their generosity and willingness
   to participate.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Adler CE, 2013, POLICY SCI, V46, P161, DOI 10.1007/s11077-012-9168-4
   Agricultura y Medio Ambiente (AGRIMED), 2008, AN VULN SECT SILV RE, P181
   Aldunce P., 2014, Resilience in the context of climate change: a systematic review of the literature to aid a navigation of diversity
   Aldunce P, 2016, ENVIRON PLANN C, V34, P999, DOI 10.1177/0263774X15614734
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   [Anonymous], 2012, Ciudad y Territorio Estudios Territoriales
   [Anonymous], DOCUMENTS ANALISI GE
   [Anonymous], 2007, CHARACTERISTICS DISA
   [Anonymous], 2008, 2 CARRI
   Bahadur AV, 2010, CLIMATE ENV
   Barata M., 2011, CLIMATE CHANGE HUMAN, P179
   Barnea A, 2010, J BUS ETHICS, V97, P71, DOI 10.1007/s10551-010-0496-z
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Bauer C., 2012, CHILE WATER TRADING, P130
   Beilin R, 2012, GLOBAL ENVIRON CHANG, V22, P463, DOI 10.1016/j.gloenvcha.2011.12.003
   Bird DK, 2011, B VOLCANOL, V73, P1209, DOI 10.1007/s00445-011-0464-1
   Boucher O., 2013, CLIMATE CHANGE 2013
   Broto VC, 2015, CURR OPIN ENV SUST, V13, P11, DOI 10.1016/j.cosust.2014.12.005
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Budds J, 2009, GEOFORUM, V40, P418, DOI 10.1016/j.geoforum.2008.12.008
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Chelleri L., 2015, GSSI CITIES WORKING
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   Creswell J.W., 2007, Designing and conducting mixed methods research, P20
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Delamaza Gonzalo, 2011, Polis, V10, P45
   Djalante Riyanti., 2011, Asian Journal of Environment and Disaster Management, V03, P339, DOI [DOI 10.3850/S1793924011000952, 10.3850/S1793924011000952]
   Djordjevic S, 2011, ENVIRON SCI POLICY, V14, P864, DOI 10.1016/j.envsci.2011.05.008
   Dovers S, 2009, GLOBAL ENVIRON CHANG, V19, P4, DOI 10.1016/j.gloenvcha.2008.06.006
   Ebi KL, 2011, INT J ENV RES PUB HE, V8, P4582, DOI 10.3390/ijerph8124582
   FAO, 2010, GEST REISG SEQ OTR E, P140
   Fourez G., 2000, CONSTRUCCION CONOCIM
   Frene C., 2014, AGUA CHILE DIAGNOSTI, P58
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Garreaud R., 2015, MEGA SEQUIA 2010 201
   GIERYN TF, 1983, AM SOCIOL REV, V48, P781, DOI 10.2307/2095325
   Goldthau A, 2014, ENERGY RES SOC SCI, V1, P134, DOI 10.1016/j.erss.2014.02.009
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Haase D, 2014, AMBIO, V43, P407, DOI 10.1007/s13280-014-0503-1
   Hadorn G.H., 2008, Handbook of Transdisciplinary Research, V10, DOI [10.1007/978-1-4020-6699-3, DOI 10.1007/978-1-4020-6699-3]
   Handmer J., 1996, Organization Environment, V9, P482, DOI [10.1177/108602669600900403, DOI 10.1177/108602669600900403]
   Handmer J., 2007, HDB DISASTER EMERGEN, P187
   Haque CE, 2007, NAT HAZARDS, V41, P271, DOI 10.1007/s11069-006-9035-8
   Horowitz LS, 2015, T I BRIT GEOGR, V40, P88, DOI 10.1111/tran.12057
   Jo H, 2016, GLOB FINANC J, V29, P42, DOI 10.1016/j.gfj.2015.04.003
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Klesner JL, 2007, LAT AM RES REV, V42, P1, DOI 10.1353/lar.2007.0022
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lynch AH, 2008, B AM METEOROL SOC, V89, P169, DOI 10.1175/BAMS-89-2-169
   Manyena SB, 2006, DISASTERS, V30, P433
   Martínez-Ferrero J, 2016, CORP SOC RESP ENV MA, V23, P319, DOI 10.1002/csr.1379
   McNie EC, 2007, ENVIRON SCI POLICY, V10, P17, DOI 10.1016/j.envsci.2006.10.004
   McPhearson P.T., 2011, SUSTAINABILITY AMERI, P181, DOI DOI 10.5822/978-1-61091-028-6_9
   Metzner-Szigeth A, 2009, FUTURES, V41, P156, DOI 10.1016/j.futures.2008.09.017
   Meza FJ, 2012, J WATER RES PLAN MAN, V138, P421, DOI 10.1061/(ASCE)WR.1943-5452.0000216
   Muller B., 2011, German Annual of Spatial Research and Policy 2010
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   O'Brien G, 2010, DISASTER PREV MANAG, V19, P498, DOI 10.1108/09653561011070402
   Ortiz A., 2008, CUAD DESARRO RURAL, V5, P87
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Paton D., 2017, Disaster resilience: an integrated approach
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pfefferbaum B., 2005, Handbook on injury and violence prevention interventions, P347
   Pohl C., 2007, Principles for Designing Transdisciplinary Research
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Reghezza-Zitt M, 2012, CYBERGEO, DOI 10.4000/cybergeo.25554
   Richards L., 2009, Handling qualitative data: A practical guide, V2nd
   Roman CE, 2011, WEATHER CLIM SOC, V3, P16, DOI 10.1175/2010WCAS1052.1
   Sepúlveda C, 2012, LAT AM PERSPECT, V39, P181, DOI 10.1177/0094582X12441519
   Shaw K, 2011, LOCAL ENVIRON, V16, P1, DOI 10.1080/13549839.2010.544296
   STAR SL, 1989, SOC STUD SCI, V19, P387, DOI 10.1177/030631289019003001
   Thayer Correa Luis Eduardo, 2011, Polis, V10, P267
   The Rockefeller Foundation, 2015, ARUP CIT RES FRAM RO
   Thomalla F, 2010, ENVIRON HAZARDS-UK, V9, P249, DOI 10.3763/ehaz.2010.0051
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   UN/ISDR United Nations International Strategy for Disaster Reduction, 2007, HYOG FRAM ACT 2005 2, P25
   Vicuña S, 2012, J WATER RES PLAN MAN, V138, P431, DOI 10.1061/(ASCE)WR.1943-5452.0000202
   Villarroel C., 2012, Asociaciones Comunitarias de Agua Potable Rural en Chile: Diagnostico y Desafios
NR 83
TC 16
Z9 19
U1 2
U2 77
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 905
DI 10.3390/su8090905
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 DZ0LC
UT WOS:000385529400077
OA gold, Green Submitted, Green Published
DA 2025-04-22
ER

PT J
AU Petrescu, D
   Petcou, C
   Baibarac, C
AF Petrescu, Doina
   Petcou, Constantin
   Baibarac, Corelia
TI Co-producing commons-based resilience: lessons from R-Urban
SO BUILDING RESEARCH AND INFORMATION
LA English
DT Article
DE agency; bottom-up approaches; commons; community participation;
   co-production; design; participatory action research; resilience; social
   networks
ID ECOLOGICAL RESILIENCE; COPRODUCTION; ADAPTABILITY; EMERGENCE; THINKING;
   PROMISE
AB The co-production of resilience in European urban neighbourhoods is explored based on the experiences from a case study. Within the current resilience imperative', co-production processes involving multiple stakeholders can be a key factor for increasing cities' resilience. Co-produced resilience processes are more successful when embedded in collaborative forms of governance such as those associated with urban commons and when fulfilling needed roles with a community. Through the application of the R-Urban approach in a neighbourhood of Colombes (near Paris), the co-production of a commons-based resilience strategy is described. This involved a group of designers as initiators and a number of citizen as stakeholders of a network of civic hubs. The specific strategies involving a participatory setting, collective governance aspects and circular economies are analysed in the light of co-production theories and practices. Internal and external challenges are identified within the implementation process. The nature of conflicts and negotiations in this co-production approach are discussed, and the role of the architects/designers as agents within the process is investigated. Reflections from this example are provided on the limits and promises of this approach and the lessons learned from R-Urban for collaborative civic resilience.
C1 [Petrescu, Doina; Baibarac, Corelia] Univ Sheffield, Sch Architecture, Western Bank, Sheffield S10 2TN, S Yorkshire, England.
   [Petcou, Constantin] Atelier Aarchitecture Autogeree, Paris, France.
C3 University of Sheffield
RP Petrescu, D (corresponding author), Univ Sheffield, Sch Architecture, Western Bank, Sheffield S10 2TN, S Yorkshire, England.
EM d.petrescu@sheffield.ac.uk; aaa.contact@gmail.com;
   c.baibarac@sheffield.ac.uk
OI Petrescu, Doina/0000-0002-3794-3219
FU EU Life + Programme of Environmental Governance; French Ministry of
   Ecology, Arts and Humanities Research Council; European Union; AHRC
   [AH/L015781/1] Funding Source: UKRI
FX The authors gratefully acknowledge the funding provided for research
   informing this study by the EU Life + Programme of Environmental
   Governance, The French Ministry of Ecology, Arts and Humanities Research
   Council and the European Union Horizon 2020 Marie Curie Individual
   Research Fellowship programme.
CR Andrews D, 2015, LOCAL ECON, V30, P305, DOI 10.1177/0269094215578226
   [Anonymous], 2015, COPRODUCING KNOWLEDG
   [Anonymous], 2008, NETWORKED URBANISM S
   [Anonymous], 1999, ANNU REV ANTHROPOL
   [Anonymous], 2009, COMMONWEALTH
   [Anonymous], SOCIAL CONFLICTS COL
   [Anonymous], 1996, SHORT CIRCUIT PRACTI
   [Anonymous], PERSPECTIVES ENERGY
   [Anonymous], 2012, RESILIENT PEOPLE RES
   Barnes P, 2015, COMMUNITY DEV J, V50, P312, DOI 10.1093/cdj/bsu042
   Bawens M., 2015, SAUVER MONDE VERS EC
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Bollier D., 2012, The wealth of the commons: A world beyond market and state
   Bollier D., 2014, Think like a commoner. A short introduction to the life of the commons
   Botkin Daniel., 1990, Discordant Harmonies: A New Ecology for the Twenty-First Century
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Boyle D., 2009, The challenge of co-production: How equal partnerships between professionals and the public are crucial to improving public services
   Braungart M., 2002, Cradle to cradle: Remaking the way we make things
   Brock Karen., 2002, Knowing Poverty: critical reflections on participatory research and policy
   Brown G, 2012, ENVIRON PLANN A, V44, P1607, DOI 10.1068/a44608
   Cahn E., 2000, NO MORE THROW AWAY P
   Capra F., 2015, ECOLOGY LAW LEGAL SY
   Castan-Broto V., 2011, REV LIT PROJECT PROP
   Connors P, 2011, COMMUNITY DEV J, V46, P558, DOI 10.1093/cdj/bsq014
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   Cretney R, 2014, RESILIENCE, V2, P18, DOI 10.1080/21693293.2013.872449
   De Angelis Massimo., 2007, BEGINNING HIST VALUE
   Diprose Kristina., 2015, Soundings: A Journal of Political Culture, V58, P44
   Feola G, 2014, GLOBAL ENVIRON CHANG, V24, P232, DOI 10.1016/j.gloenvcha.2013.11.011
   Ferrao P, 2013, SUSTAINABLE URBAN METABOLISM, P1
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   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
   Friere Paulo., 1970, PEDAGOGY OPPRESSED
   Geddes P., 1915, CITY IN EVOLUTION
   Gibson-Graham K. J., 2013, TAKE BACK EC ETHICAL
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Goldstein BruceEvan., 2012, Collaborative Resilience: Moving Through Crisis to Opportunity
   Government H., 2010, DEC LOC BILL ESS GUI
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Harvey D, 2008, NEW LEFT REV, P23
   Harvey David, 2008, Geographie de la domination
   Harvey David., 2014, 17 CONTRADICTIONS EN
   Hirst P.Q., 1993, Associative Democracy: New Forms of Economic and Social Governance
   Holden M, 2015, SUSTAINABILITY-BASEL, V7, P11418, DOI 10.3390/su70911418
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holloway J., 2010, CRACK CAPITALISM
   Hopkins Rob., 2011, TRANSITION COMPANION
   Hornborg A, 2009, INT J COMP SOCIOL, V50, P237, DOI 10.1177/0020715209105141
   HOWARD E., 2013, GARDEN CITIES TOMORR
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Latour, 2005, Reassembling the Social: An Introduction to Actor-Network Theory
   Lewis M., 2012, The Resilience Imperative: Cooperative Transitions to a Steady-State Economy
   Linebaugh P, 2008, MAGNA CARTA MANIFESTO: LIBERTIES AND COMMONS FOR ALL, P1
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Mapes J, 2011, J URBAN DES, V16, P105, DOI 10.1080/13574809.2011.521012
   Marion-Young Iris., 1990, Justice and the Politics of Difference
   Mason K, 2012, ANTIPODE, V44, P493, DOI 10.1111/j.1467-8330.2010.00868.x
   Mouffe Chantal., 2005, On the Political: Thinking in Action
   Nelson SH, 2014, RESILIENCE-ABINGDON, V2, P1, DOI 10.1080/21693293.2014.872456
   Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001
   Office C., 2011, STRAT NAT FRAM COMM
   Ostrom E, 1996, WORLD DEV, V24, P1073, DOI 10.1016/0305-750X(96)00023-X
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Peck J, 2002, ANTIPODE, V34, P380, DOI 10.1111/1467-8330.00247
   Petcou C., 2015, EphCemera, V15, P249
   Platts-Fowler D., 2013, Neighbourhood resilience in Sheffield: getting by in hard times
   Pohl C, 2010, SCI PUBL POLICY, V37, P267, DOI 10.3152/030234210X496628
   Pulido Laura., 2016, CAPITALISM NATURE SO, V27, P12, DOI DOI 10.1080/10455752.2016.1146782
   Radywyl N, 2013, J CLEAN PROD, V50, P159, DOI 10.1016/j.jclepro.2012.12.020
   Rapoport E., 2011, INTERDISCIPLINARY PE
   Robards MD, 2011, GLOBAL ENVIRON CHANG, V21, P522, DOI 10.1016/j.gloenvcha.2010.12.004
   Robbins P., 2012, Political Ecology: A Critical Introduction, Vsecond, DOI DOI 10.1097/TA.0B013E3181BBD721
   Rohe W, 2009, J AM PLANN ASSOC, V75, P209, DOI 10.1080/01944360902751077
   Scharmer O., 2010, Oxford Leadership Journal, V1, P1
   Sen Amartya, 1999, Development as Freedom
   Shaikh A., 2010, INT J ARTS SCI, V3, P155, DOI DOI 10.1016/B978-008055232-3.60317-4
   Sharifi A, 2016, SUSTAIN CITIES SOC, V20, P1, DOI 10.1016/j.scs.2015.09.002
   Shearman D., 2007, CHALLENGE FAILURE DE
   Stavrides Stavros., 2016, COMMON SPACE CITY CO
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Vigar G., 2002, J ENVIRON PLANN MAN, V45, P517, DOI DOI 10.1080/09640560220143530
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Walker B, 2004, ECOL SOC, V9
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   Wenger E., 2009, COMMUNITIES PRACTICE
   WERNER EE, 1995, CURR DIR PSYCHOL SCI, V4, P81, DOI 10.1111/1467-8721.ep10772327
   Weston BurnsH., 2013, Green Governance: Ecological Survival, Human Rights, and the Law of the Commons
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Wong CY, 2015, INT J PHYS DISTR LOG, V45, P43, DOI 10.1108/IJPDLM-05-2013-0110
   ZIMMERER KS, 1994, ANN ASSOC AM GEOGR, V84, P108, DOI 10.1111/j.1467-8306.1994.tb01731.x
NR 92
TC 45
Z9 50
U1 2
U2 57
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 OCT
PY 2016
VL 44
IS 7
BP 717
EP 736
DI 10.1080/09613218.2016.1214891
PG 20
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology
GA DW7YF
UT WOS:000383868800003
OA Green Accepted, hybrid
DA 2025-04-22
ER

PT J
AU Zhang, Y
   Shang, KJ
AF Zhang, Yang
   Shang, Kejian
TI Cloud model assessment of urban flood resilience based on PSR model and
   game theory
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Urban flood resilience; PSR model; Game theory; Cloud model
ID LESSONS
AB The frequency of urban floods is increasing due to extreme precipitation events, necessitating ur-gent improvements in urban flood resilience (UFR). To effectively assess the level of UFR, this contribution proposes an improved cloud model UFR assessment model based on pressure-state -response (PSR) model and game theory. A UFR index system is constructed based on the PSR model, incorporating urban constituent elements, resilience characteristics and resilience realiza-tion process. Based on game theory, the analytic hierarchical process (AHP) and entropy weight method (EWM) are combined to build an improved cloud assessment model of UFR. Taking Zhengzhou City as an example, the assessment results show that with nine years of continuous ef-forts, the UFR of Zhengzhou has improved year by year from 2012 to 2020 and reached medium resilience level III from lower resilience level II. The pressure layer is found to be risky, the state layer is moderate resilience, and the response layer is more responsive. The assessment model is feasible, and the results are consistent with the actual situation. Optimization suggestions are made in terms of infrastructure and ecological environment, early warning and emergency man-agement, and flood resilience knowledge learning, respectively, to provide theoretical support and decision-making reference for the improvement of the UFR management level.
C1 [Zhang, Yang] Liaoning Tech Univ, Sch Business Adm, Huludao 125000, Peoples R China.
   [Shang, Kejian] Henan Univ Urban Construct, Sch Management, Pingdingshan 467036, Peoples R China.
C3 Liaoning Technical University; Henan University of Urban Construction
RP Zhang, Y (corresponding author), Liaoning Tech Univ, Sch Business Adm, Huludao 125000, Peoples R China.
EM zhangyang8907@163.com
CR Boers N, 2019, NATURE, V566, P373, DOI 10.1038/s41586-018-0872-x
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bukvic A, 2015, INT J DISAST RISK RE, V13, P215, DOI 10.1016/j.ijdrr.2015.06.008
   Chan FKS, 2021, ONE EARTH, V4, P1356, DOI 10.1016/j.oneear.2021.09.016
   Chan FKS, 2021, ENVIRON SCI POLICY, V122, P101, DOI 10.1016/j.envsci.2021.04.009
   [陈长坤 Chen Changkun], 2018, [中国安全科学学报, China Safety Science Journal（CSSJ）], V28, P1
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Haque MM, 2022, INT J DISAST RISK RE, V72, DOI 10.1016/j.ijdrr.2022.102861
   Hazbavi Z, 2020, LAND DEGRAD DEV, V31, P3, DOI 10.1002/ldr.3420
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, ENG ECOLOGICAL CONST, P1
   Holling CS, 2001, PANARCHY, P25
   Hopkins KD, 2018, CHILD ABUSE NEGLECT, V78, P85, DOI 10.1016/j.chiabu.2017.11.014
   Hu XJ, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107464
   Huang YL, 2022, ECOL INDIC, V139, DOI 10.1016/j.ecolind.2022.108938
   Ilgen S, 2019, WATER-SUI, V11, DOI 10.3390/w11050983
   Jiang YQ, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8059-9
   Karamouz M, 2019, J WATER RES PLAN MAN, V145, DOI 10.1061/(ASCE)WR.1943-5452.0001043
   Ke XL, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127159
   Kuwahara H, 2021, J CHEMINFORMATICS, V13, DOI 10.1186/s13321-021-00506-2
   Li DY, 2009, INT J INTELL SYST, V24, P357, DOI 10.1002/int.20340
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li T., 2017, Urban Planning International, V32, P15, DOI [10.22217/upi.2015.284, DOI 10.22217/UPI.2015.284]
   Lin WB, 2020, SCI TOTAL ENVIRON, V739, DOI 10.1016/j.scitotenv.2020.139899
   Liu JH, 2020, ENVIRON RES, V182, DOI 10.1016/j.envres.2019.108929
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   Liu X, 2017, ASCE-ASME J RISK U B, V3, DOI 10.1115/1.4035728
   Löwe R, 2017, J HYDROL, V550, P355, DOI 10.1016/j.jhydrol.2017.05.009
   Mannucci S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14074096
   Mehryar S, 2022, SCI TOTAL ENVIRON, V837, DOI 10.1016/j.scitotenv.2022.155854
   Miksa K, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104924
   Ministry of Emergency Management of the People's Republic of China, 2021, The basic situation of natural disasters in 2021
   Ministry of Emergency Management of the People's Republic of China, 2021, Investigation of the Extraordinary Heavy Rainstorm Disaster of July 20, 2021 in Zhengzhou, Henan
   Misal H, 2022, WEATHER, V77, P149, DOI 10.1002/wea.4162
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   Netzel LM, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12688
   Ngamalieu-Nengoue UA, 2019, WATER-SUI, V11, DOI 10.3390/w11030515
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Peng T, 2021, SCI TOTAL ENVIRON, V767, DOI 10.1016/j.scitotenv.2020.144353
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Qian YP, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030933
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Richardson JJ, 2021, ENVIRON SCI POLICY, V115, P8, DOI 10.1016/j.envsci.2020.09.024
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   SAATY TL, 1987, DECISION SCI, V18, P157, DOI 10.1111/j.1540-5915.1987.tb01514.x
   Shan XM, 2022, NAT HAZARDS, V110, P1039, DOI 10.1007/s11069-021-04978-1
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   United Nations International Strategy for Disaster Reduction, 2005, Environ. Pol. Law, V35, P101
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   Wang D, 2021, ECOL INDIC, V133, DOI 10.1016/j.ecolind.2021.108431
   Wang GP, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13040637
   Wu MM, 2021, J HYDROL, V599, DOI 10.1016/j.jhydrol.2021.126393
   Xiao S, 2023, SCI TOTAL ENVIRON, V866, DOI 10.1016/j.scitotenv.2022.161321
   Yang YH, 2023, SCI CHINA EARTH SCI, V66, P282, DOI 10.1007/s11430-022-1015-6
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang J, 2021, NAT HAZARDS, V107, P447, DOI 10.1007/s11069-021-04590-3
   Zhang N, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102439
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zheng JX, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128911
NR 60
TC 12
Z9 13
U1 67
U2 148
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 15
PY 2023
VL 97
AR 104050
DI 10.1016/j.ijdrr.2023.104050
EA OCT 2023
PG 19
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA X5KK9
UT WOS:001098836000001
DA 2025-04-22
ER

PT J
AU Nugraha, E
   Lassa, JA
AF Nugraha, Erwin
   Lassa, Jonatan A.
TI Towards endogenous disasters and climate adaptation policy making in
   Indonesia
SO DISASTER PREVENTION AND MANAGEMENT
LA English
DT Article
DE Disaster resilience; Climate resilience; Endogenous adaptation;
   Exogenous drivers; Mainstreaming adaptation; Urban climate adaptation
AB Purpose - The purpose of this paper is to understand the role of exogenous drivers that seeks to foster endogenous resilience and climate adaptation policy and practice in developing countries. It particularly examines the role of Asian Cities Climate Change Resilience Network as an exogenous driver that sought to sustain urban climate adaptation and resilience agenda in a secondary city in Indonesia.
   Design/methodology/approach - The research combines fieldworks and desktop research. Primary data collection includes participant observation, unstructured interviews with city stakeholders and project managers, semi-structured interviews with local communities and literature reviews. This research also used an ethnographic field research approach.
   Findings - Exogenous drivers have temporarily fostered climate change adaptation at city level, but the question remains is how can international actors effectively create a meaningful transformation toward urban resilience in developing countries like Indonesia. Exogenous drivers can play significant roles as a catalyst for urban adaptation planning, including undertaking vulnerability assessment and city resilience strategy and implementing adaptation actions, and facilitates risk management. Further processes for mainstreaming climate adaptation and disaster reduction depend on how receptive and responsive local actors to co-facilitate and co-lead urban resilience buildings and development.
   Originality/value - There is still lack of documented knowledge on local institutional change and policy making processes. This research shows challenges and opportunities in institutionalising urban climate adaptation and risk management agenda. It further shows that genesis of endogenous adaptation cannot be separated from the exogenous climate adaptation processes as well as internal dynamic of urban governance in developing world.
C1 [Nugraha, Erwin] Univ Durham, Dept Geog, Durham, England.
   [Lassa, Jonatan A.] Charles Darwin Univ, Coll Indigenous Futures Arts & Soc, Darwin, NT, Australia.
C3 Durham University; Charles Darwin University
RP Lassa, JA (corresponding author), Charles Darwin Univ, Coll Indigenous Futures Arts & Soc, Darwin, NT, Australia.
EM jonatan.lassa@gmail.com
RI Lassa, Jonatan/M-6112-2019
OI Lassa, Jonatan/0000-0002-8432-842X; Nugraha, Erwin/0000-0002-5294-9934
FU Durham University - Open Society Foundations; Norman Richardson
   Postgraduate Research Fund
FX The first author gratefully acknowledges the financial support provided
   by Durham University - Open Society Foundations and Norman Richardson
   Postgraduate Research Fund. The authors also would like to thank three
   anonymous referees for their constructive comments and feedbacks for the
   draft of this paper, and Alexander Densmore and Andrew Baldwin for
   initial discussions. The authors retain full responsibility for this
   paper.
CR Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], ENV URBANIZATION
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Asian Cities Climate Change Resilience Network, 2009, RESP URB CLIM CHALL
   Asian Cities Climate Change Resilience Network (ACCCRN), 2010, FIN REP VULN AD ASS
   Bandar Lampung City Government, 2013, MAYOR DEC EST COORD
   Bandar Lampung City Government, 2014, MAYOR DEC EST COORD
   Birkland T.A., 1997, DISASTER AGENDA SETT
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Callon M., 1999, SCI TECHNOLOGY SOC, V4, P81, DOI DOI 10.1177/097172189900400106
   Carmin J., 2013, Urban Climate Adaptation and Leadership: From Conceptual Understanding to Practical Action Green Growth and Poverty Reduction: Policy Coherence for Pro-Poor Growth
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Chatham House, 2014, CHATH HOUS RUL
   Colenbrander S., 2017, RESPONDING CLIMATE C, P1
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Fahmi FZ, 2017, URBAN STUD, V54, P1367, DOI 10.1177/0042098015620529
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Geels F, 2011, ROUTL STUD HUM GEOGR, V35, P13
   Government of the Republic of Indonesia, 2016, 1 NAT DET CONTR REP
   Government of the Republic of Indonesia (GoI), 2013, NAT ACT PLAN CLIM CH
   Grantham Research Institute on Climate Change and the Environment (Grantham Institute), 2017, COUNTR DAT
   Hodson Mike., 2014, After Sustainable Cities
   Hudalah D, 2014, INT J URBAN REGIONAL, V38, P2217, DOI 10.1111/1468-2427.12096
   Keeley J., 2001, Influencing Policy Processes for Sustainable Livelihoods: Strategies for Change'
   Keeley J., 1998, 89 IDS
   Lane SN, 2011, T I BRIT GEOGR, V36, P15, DOI 10.1111/j.1475-5661.2010.00410.x
   Lassa J. A., 2013, Int. J. Mass Emergencies Disasters, V31, P130, DOI 10.1177/028072701303100202
   Lassa JA, 2015, ENVIRON URBAN, V27, P161, DOI 10.1177/0956247814552233
   Malalgoda C, 2016, DISASTER PREV MANAG, V25, P628, DOI 10.1108/DPM-11-2015-0260
   Ministry of Environment, 1999, IND 1 NAT COMM UNFCC
   Mukhlis M., 2011, BANDAR LAMPUNG CITY
   Nugraha E., 2013, P RES CIT 2013 C BON
   OBrien G., 2014, Managing Adaptation to Climate Risk: Beyond Fragmented Responses
   Ong A, 2011, STUD URBAN SOC CH, P1
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Renn O., 2008, Risk governance
   Sachs J., 2008, COMMON WEALTH EC CRO
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Statistic Bureau of Bandar Lampung, 2015, BAND LAMP FIG 2010
   The Rockefeller Foundation, 2009, AS CIT CLIM CHANG RE
   Tyler S., 2014, 3 ISET
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Wamsler C, 2014, ROUTL CRIT INTRO URB, P1
NR 49
TC 13
Z9 13
U1 2
U2 31
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 2
BP 228
EP 242
DI 10.1108/DPM-04-2017-0084
PG 15
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 GB3EV
UT WOS:000428939200007
DA 2025-04-22
ER

PT J
AU Kumar, V
   Jana, A
   Ramamritham, K
AF Kumar, Vaibhav
   Jana, Arnab
   Ramamritham, Krithi
TI Simulating fire-safe cities using a machine learning-based algorithm for
   the complex urban forms of developing nations: a case of Mumbai India
SO GEOCARTO INTERNATIONAL
LA English
DT Article
DE Heterogeneous urban built form; GIS; machine learning; algorithm; fire
   resilient cities
ID DYNAMICS; FUTURE
AB The article addresses the void in developing analytical methods concerning to design urban configurations that could reduce fire risks, and, thus, could help in achieving sustainable goals. A novel algorithm is developed to generate alternative Urban Built Form (UBF) models that could be less susceptible to fire compared to the existing built-form. Fire susceptibility of a generated UBF is predicted using a developed linear regression model. The algorithm considers existing regulations to derive rules and develop scenarios that might be effective in building fire-resilient cities. The outcomes of the simulations showed a significant decrease in the fire susceptibility of the southern region of Mumbai city. Moreover, for a certain simulated scenario the predicted UBF could accommodate twice the current population while being less susceptible than the existing UBF. The proposed techniques and methods can act as a decision-making tool in taking pre-emptive planning measures to develop fire resilient cities.
C1 [Kumar, Vaibhav; Jana, Arnab] Indian Inst Technol, Ctr Urban Sci & Engn, Mumbai, Maharashtra, India.
   [Ramamritham, Krithi] Indian Inst Technol, Comp Sci & Engn, Mumbai, Maharashtra, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bombay; Indian Institute of Technology System (IIT
   System); Indian Institute of Technology (IIT) - Bombay
RP Kumar, V (corresponding author), Indian Inst Technol, Ctr Urban Sci & Engn, Mumbai, Maharashtra, India.
EM vaibhav.kumar.cs10@gmail.com
RI Kumar, Vaibhav/AAX-3174-2020; Jana, Arnab/C-4116-2016
OI Jana, Arnab/0000-0001-8210-1566; Kumar, Vaibhav/0000-0002-0047-0681
CR Allan P, 2013, J URBAN DES, V18, P242, DOI 10.1080/13574809.2013.772881
   [Anonymous], 2019, DEM WORLD URB AR
   [Anonymous], 2015, Urban and Regional Development Formulation and Implementation Guidelines (URDPFI), VI
   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)]
   Cavallini M, 2007, Ann Burns Fire Disasters, V20, P101
   Chang D.L., 2018, J. Open Innov. Technol. Mark. Complex., V4, P1
   Corcoran J, 2011, J GEOGR SYST, V13, P193, DOI 10.1007/s10109-009-0102-z
   Dhiman R, 2018, HABITAT INT, V71, P125, DOI 10.1016/j.habitatint.2017.12.002
   DNA, 2018, DNA EXCLUSIVE NEW CR
   *FICCI, 2017, IND RISK SURV 2017 R
   Fleischhauer M, 2008, NATO SCI PEACE SECUR, P273, DOI 10.1007/978-1-4020-8489-8_14
   GoI, 2018, DRAFT CRZ NOT 2018
   Guldåker N, 2014, FIRE SAFETY J, V70, P71, DOI 10.1016/j.firesaf.2014.08.015
   Hosseinali F, 2013, CITIES, V31, P105, DOI 10.1016/j.cities.2012.09.002
   India climate dialogue, 2017, IND IS STAR URB CLIM
   Jennings CR, 2013, FIRE SAFETY J, V62, P13, DOI 10.1016/j.firesaf.2013.07.002
   Kumar V, 2022, GEOCARTO INT, V37, P543, DOI 10.1080/10106049.2020.1723718
   Martínez FL, 2012, DYNA-COLOMBIA, V79, P34
   Lutzoni Laura., 2016, CITY TERRIT ARCHIT, V3, P1, DOI [10.1186/s40410-016-0046-9, DOI 10.1186/S40410-016-0046-9]
   Lyles LW, 2014, J ENVIRON PLANN MAN, V57, P792, DOI 10.1080/09640568.2013.768973
   March A, 2007, AUST J EMERG MANAG, V22, P17
   Mehrotra S, 2019, SCI TOTAL ENVIRON, V669, P872, DOI 10.1016/j.scitotenv.2019.03.152
   Meller Helen, 1973, Victorian Studies, V16, P291
   MMRDA, 2015, DEV CONTR REG MUMB M
   Nayak D, 2011, NEW INDIAN EXPR 1218
   Quarantelli EL, 2015, BUILDING SAFER CITIE, P21
   Rodrigue JP, 1997, TRANSPORT RES C-EMER, V5, P259, DOI 10.1016/S0968-090X(97)00014-4
   Shi ZM, 2017, BUILD ENVIRON, V121, P119, DOI 10.1016/j.buildenv.2017.05.006
   Spatenková O, 2013, FIRE SAFETY J, V62, P49, DOI 10.1016/j.firesaf.2013.07.001
   Taridala S, 2017, IOP C SER EARTH ENV, V79, DOI 10.1088/1755-1315/79/1/012035
   Turner SL, 2017, INJURY PREV, V23, P131, DOI 10.1136/injuryprev-2016-042174
   Wang JJ, 2012, DISASTER PREV MANAG, V21, P110, DOI 10.1108/09653561211202746
   Zhang XX, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7010007
NR 33
TC 4
Z9 4
U1 4
U2 36
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1010-6049
EI 1752-0762
J9 GEOCARTO INT
JI Geocarto Int.
PD FEB 16
PY 2022
VL 37
IS 4
BP 1084
EP 1099
DI 10.1080/10106049.2020.1756463
EA MAY 2020
PG 16
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 1H8FH
UT WOS:000532263500001
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Albers, M
   Deppisch, S
AF Albers, Meike
   Deppisch, Sonja
TI Resilience in the Light of Climate Change: Useful Approach or Empty
   Phrase for Spatial Planning?
SO EUROPEAN PLANNING STUDIES
LA English
DT Article
ID ADAPTATION; MITIGATION; METAPHOR
AB In the context of adaptation to climate change and spatial planning, the idea of urban and regional resilience has been attracting increasing attention because it recognizes both the given uncertainty of climate change and the complexity of cities and regions. Even if initial attempts have been made to operationalize the concept of resilience, a gap exists between the intense theoretical discussion and the use of resilience thinking in planning practice. On the basis of a discussion of existing attempts that define resilience principles, the authors derive eight principles for urban and regional resilience: diversity, redundancy, flexibility and adaptability, modularity, interdependency, stabilizing and buffering factors, mobility, as well as planning and foresight. Referring to two exploratory studiesthe City and Region of Stockholm (Sweden) and the City and Region of Rostock (Germany)this article aims to explore whether spatial planning already contributes to these principles and so to build resilience. The analysis shows that spatial planning already contributes to urban and regional resilience. Also, the principles, as suggested here, can be used to operationalize the idea of resilience. Prospectively, such principles may support spatial planning to choose adaptation measures and specific objectives and to contribute to urban and regional resilience.
C1 [Albers, Meike; Deppisch, Sonja] HafenCity Univ Hamburg, D-22085 Hamburg, Germany.
RP Albers, M (corresponding author), HafenCity Univ Hamburg, Winterhuder Weg 29, D-22085 Hamburg, Germany.
EM meike.albers@hcu-hamburg.de
CR Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Alessa L., 2009, Sustainability: Science, Practice & Policy, V5, P31
   Biesbroek R, 2009, HABITAT INT, V33, DOI 10.1016/j.habitatint.2008.10.001
   Birkmann J, 2009, RAUMFORSCH RAUMORDN, V67, P114, DOI 10.1007/BF03185700
   Blanco, 2009, Progress in Planning, V71, P158, DOI DOI 10.1016/J.PR0GRESS.2009.03.001
   Brand FS, 2007, ECOL SOC, V12
   City of Stockholm, 2010, WALK CIT STOCKH CIT
   Colding J., 2010, CRITICAL PLANNING, V17, P2
   Davoudi S., 2009, Planning for Climate Change. Strategies for MitigationandAdaptationforSpatialPlanners, P7
   Donaghy K, 2007, TOWN PLAN REV, V78, pI, DOI 10.3828/tpr.78.4.1
   Field C.B., 2012, SPECIAL REPORT IPCC
   Fischer J, 2006, FRONT ECOL ENVIRON, V4, P80, DOI 10.1890/1540-9295(2006)004[0080:BEFART]2.0.CO;2
   Fleischhauer M, 2006, RAUMFORSCH RAUMORDN, V64, P161, DOI 10.1007/BF03182977
   Foster H., 1997, OZYMANDIAS PRINCIPLE
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Greiving S, 2009, ANDERES KLIMA ANDERE, P43
   Habitat UN, 2011, CIT CLIM CHANG
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   HRO-Hansestadt Rostock, 2009, FLACH HANS ROST
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kumagai Y., 2010, Critical Planning no, V17, P66
   Müller B, 2011, GER ANNU SPAT RES PO, P1, DOI 10.1007/978-3-642-12785-4_1
   Nelson R, 2008, ENVIRON SCI POLICY, V11, P588, DOI 10.1016/j.envsci.2008.06.005
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   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
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Regionplanekontoret, 2010, REG UTV STOCKH, V2010
   RPV-Regionaler Planungsverband Mittleres Mecklenburg/Rostock, 2010, REG RAUM MITTL MECKL
   Satterthwaite D., 2009, ADAPTING CITIES CLIM, P359
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Zimmerman R, 2010, ANN NY ACAD SCI, V1196, P63, DOI 10.1111/j.1749-6632.2009.05318.x
NR 32
TC 43
Z9 52
U1 0
U2 51
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.
PD OCT 1
PY 2013
VL 21
IS 10
BP 1598
EP 1610
DI 10.1080/09654313.2012.722961
PG 13
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 238PN
UT WOS:000325960000008
DA 2025-04-22
ER

PT J
AU Teicher, HM
AF Teicher, Hannah M.
TI Practices and pitfalls of competitive resilience: Urban adaptation as
   real estate firms turn climate risk to competitive advantage
SO URBAN CLIMATE
LA English
DT Article
DE Adaptation; Resilience; Climate governance; Private sector; Urban
   politics; Growth coalition
ID CULTURAL-POLITICAL ECONOMY; ECOLOGICAL MODERNIZATION; GROWTH MACHINE;
   CHALLENGES; CITIES; PERCEPTION; POLICY; CITY
AB Coastal cities on the U.S. East Coast are emerging hotspots of global sea level rise as well as increasingly attractive real estate markets. In this context, proactive real estate firms are engaging in various strategies for flood risk management. Analyzing firms' urban adaptation practices, this paper builds on theories of growth coalitions and climate change imaginaries, identifying forms of resilience that promote an ascendant competitive resilience regime. The most proactive firms treat resilience as a competitive advantage to be gained through self-reliant or networked adaptation. As firms act to limit financial exposure and protect their assets, the resulting piecemeal, competitive resilience further accentuates uneven risk and uneven development. While it may hold short-term promise, this approach contributes to larger trends in neoliberal urban governance, threatening to undermine the potential for more transformative regional adaptation. However, given municipal resource constraints, it could become a common and damaging form of urban adaptation.
C1 [Teicher, Hannah M.] MIT, Dept Urban Studies & Planning, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
C3 Massachusetts Institute of Technology (MIT)
RP Teicher, HM (corresponding author), MIT, Dept Urban Studies & Planning, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM hteicher@mit.edu
OI Teicher, Hannah/0000-0002-8246-3134
CR Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], RISE US LAUNCH
   [Anonymous], US URB TRENDS INV IM
   [Anonymous], GRC COMM REAL EST WO
   [Anonymous], REAL ESTATE REITS IN
   [Anonymous], TRANSFORMING URBAN W
   [Anonymous], 2013, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-012-9423-1
   [Anonymous], REP REC CLIM PREP WO
   [Anonymous], BOST MAG
   [Anonymous], 2017, CRESWELL POTH
   [Anonymous], 2014, 3 NATL COMMUNICATION
   [Anonymous], 2015, GLOB ASS REP DIS RIS
   [Anonymous], WILEY INTERDISCIP RE
   [Anonymous], ADV REAL ESTATE GLOB
   [Anonymous], CLIMATE CHANGE CHALL
   [Anonymous], PREPARING RISING TID
   [Anonymous], 2013, Companion to urban regeneration
   [Anonymous], ENHANCING RESILIENCE
   [Anonymous], CLIMATE READY BOSTON
   [Anonymous], BOST GREEN RIBB COMM
   [Anonymous], RETOOLING MACHINE EC
   [Anonymous], MEM UND
   [Anonymous], BUILDING RESILIENT C
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Birkholz S, 2014, SCI TOTAL ENVIRON, V478, P12, DOI 10.1016/j.scitotenv.2014.01.061
   Bloomberg Michael., 2014, Risky Business: The Economic Risks of Climate Change in the United States
   Bohland JJ., 2018, The Resilience Machine
   Brenner N, 2010, GLOBAL NETW, V10, P182, DOI 10.1111/j.1471-0374.2009.00277.x
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Desfor G., 2011, TRANSFORMING URBAN W, P1
   Desmond M, 2004, AREA, V36, P262, DOI 10.1111/j.0004-0894.2004.00223.x
   Douglas Ellen., 2013, Preparing for the Rising Tide
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Hill K., 2013, Climate Adaptation and Flood Risk in Coastal Cities
   Hodson M.Marvin., 2010, World cities and climate change: Producing urban ecological security
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   Jänicke M, 2008, J CLEAN PROD, V16, P557, DOI 10.1016/j.jclepro.2007.02.011
   Jessop Bob, 2010, CRITICAL POLICY STUDIES, V3, P336, DOI DOI 10.1080/19460171003619741
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Kelly Hugh F., 2015, Emerging Trends in Real Estate: United States and Canada 2016
   Kimelberg SM, 2011, CITY COMMUNITY, V10, P76, DOI 10.1111/j.1540-6040.2010.01351.x
   Lee T, 2015, URBAN CLIM, V14, P566, DOI 10.1016/j.uclim.2015.09.003
   Levy DL, 2013, ORGANIZATION, V20, P659, DOI 10.1177/1350508413489816
   Linnenluecke MK, 2013, WIRES CLIM CHANGE, V4, P397, DOI 10.1002/wcc.214
   Logan J.R., 2007, Urban Fortunes: The Political Economy of Place
   Logan JR, 1999, SUNY S URB, P73
   Lujala P., 2014, Local Environ, V0, P1
   Mol ArthurP.J., 2013, Handbook of Environmental Sociology, P15
   MOLOTCH H, 1976, AM J SOCIOL, V82, P309, DOI 10.1086/226311
   Nielsen ES, 2014, RES URBAN SOCIOL, V14, P169, DOI 10.1108/S1047-004220140000014008
   Pattberg P, 2012, ENVIRON PLANN C, V30, P613, DOI 10.1068/c1179
   Quinn V., 2014, The Urban Implications of Living with Water
   Redclift MR, 2011, CLIMATE CHANGE AND HUMAN SECURITY: THE CHALLENGE TO LOCAL GOVERNANCE UNDER RAPID COASTAL URBANIZATION, P1
   Reed MI, 2012, ORGAN STUD, V33, P203, DOI 10.1177/0170840611430590
   Romero-Lankao P, 2012, EUR PLAN STUD, V20, P7, DOI 10.1080/09654313.2011.638496
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Sweet W., 2014, SEA LEVEL RISE NUISA
   While A, 2013, URBAN STUD, V50, P1325, DOI 10.1177/0042098013480963
   Whitehead M, 2013, URBAN STUD, V50, P1348, DOI 10.1177/0042098013480965
   Wittneben BBF, 2012, ORGAN STUD, V33, P1431, DOI 10.1177/0170840612464612
   Wright C, 2013, ORGANIZATION, V20, P647, DOI 10.1177/1350508413489821
   Yin D.R. K., 2017, Case Study Research and Applications: Design and Methods
NR 65
TC 18
Z9 19
U1 2
U2 51
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2018
VL 25
BP 9
EP 21
DI 10.1016/j.uclim.2018.04.008
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GP2ZY
UT WOS:000440708400002
DA 2025-04-22
ER

PT J
AU McCartney, G
   Pinto, J
   Liu, M
AF McCartney, Glenn
   Pinto, Jose
   Liu, Matthew
TI City resilience and recovery from COVID-19: The case of Macao
SO CITIES
LA English
DT Article
DE Destination resilience; COVID-19; Tourism destination vulnerabilities;
   City economies; Chinese visitation
ID DISASTER RESILIENCE; TOURISM; MANAGEMENT; VULNERABILITY; FRAMEWORK;
   INDUSTRY
AB Due to COVID-19, Macao established a prolonged tourism lockdown for over half a year. With no COVID-19 cases for 3 months, the lockdown and resilient measures provided the ability to recover, becoming the first city globally to reopen travel borders to all of China. Using the case of Macao during a real-time pandemic crisis we develop a conceptual framework on economic resilience and tourism recovery. We propose for the first-time, destination vulnerabilities as a consequence of recovery and resilient actions. Contrary to government direction that Macao diversify beyond gaming revenues after COVID-19, our study affirms this is unlikely, as casino companies focus on recuperating revenue losses. Our theoretical assertions have wider implications as tourism cities globally look at COVID-19 exit strategies. The short-term resilient endeavors taken now by cities may have longer-term consequences on their ?reset? milieu. With the challenges of vaccination rollout, a COVID-19 exit will be prolonged further with continued economic and tourism recovery challenges for cities, giving greater significant the study?s theoretical assertions.
C1 [McCartney, Glenn; Pinto, Jose; Liu, Matthew] Univ Macau, Fac Business Adm, Ave Univ, Taipa, Macao, Peoples R China.
C3 University of Macau
RP McCartney, G (corresponding author), Univ Macau, Fac Business Adm, Ave Univ, Taipa, Macao, Peoples R China.
EM glennm@um.edu.mo; yb87008@um.edu.mo; MatthewL@um.edu.mo
RI McCartney, Glenn/HOC-9565-2023; Liu, Matthew/ABE-7624-2020; FERREIRA
   PINTO, JOSE/ABD-8593-2021
OI Liu, Matthew/0000-0002-1820-5691; FERREIRA PINTO, bian hao hui,
   JOSE/0000-0001-8168-3816
CR Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Annarelli A, 2016, OMEGA-INT J MANAGE S, V62, P1, DOI 10.1016/j.omega.2015.08.004
   [Anonymous], 2020, MACAU NEWS
   Biggs D, 2012, J SUSTAIN TOUR, V20, P645, DOI 10.1080/09669582.2011.630080
   Blaschke B, 2020, TOP 5 JUNKET REHIRES
   Brown NA, 2018, J HOSP TOUR MANAG, V36, P67, DOI 10.1016/j.jhtm.2018.07.004
   Brown NA, 2017, INT J DISAST RISK RE, V22, P362, DOI 10.1016/j.ijdrr.2017.02.005
   Çakar K, 2018, J TRAVEL TOUR MARK, V35, P786, DOI 10.1080/10548408.2017.1421495
   Chien Grace C L, 2003, Int J Hosp Manag, V22, P327, DOI 10.1016/S0278-4319(03)00041-0
   Cioccio L, 2007, TOURISM MANAGE, V28, P1, DOI 10.1016/j.tourman.2005.07.015
   Clark J, 2018, REG STUD, V52, P741, DOI 10.1080/00343404.2018.1448621
   Denyer D., 2017, Organizational resilience: A summary of academic evidence, business insights and new thinking, P8
   Dogru T, 2019, TOURISM MANAGE, V72, P292, DOI 10.1016/j.tourman.2018.12.010
   Dube K, 2021, CURR ISSUES TOUR, V24, P1487, DOI 10.1080/13683500.2020.1773416
   Economist, 2020, POLITICIANS IGNORE F
   Filimonau V, 2020, INT J TOUR RES, V22, P202, DOI 10.1002/jtr.2329
   Gourinchas P., 2020, PUBLIC HEARING COVID
   Green D, 2019, IMPRESSIVE ACHIEVEME
   Jiang YW, 2017, J HOSP TOUR MANAG, V31, P70, DOI 10.1016/j.jhtm.2016.09.004
   Jones P, 2019, INT J CONTEMP HOSP M, V31, P2544, DOI 10.1108/IJCHM-05-2018-0370
   Kelland K., 2020, EXPERTS HAVE DOUBTS
   Kumar A, 2021, J MENT HEALTH, V30, P1, DOI 10.1080/09638237.2020.1757052
   Kwok AH, 2016, INT J DISAST RISK RE, V19, P197, DOI 10.1016/j.ijdrr.2016.08.013
   Lew AA, 2014, TOURISM GEOGR, V16, P14, DOI 10.1080/14616688.2013.864325
   Li W, 2020, INT J BIOL SCI, V16, P1732, DOI 10.7150/ijbs.45120
   Liu MTC, 2021, ASIA PAC J MARKET LO, V33, P449, DOI 10.1108/APJML-08-2019-0489
   Luthe T, 2014, TOURISM MANAGE, V44, P161, DOI 10.1016/j.tourman.2014.03.011
   Malhotra R, 2009, WORLDW HOSP TOUR THE, V1, P66, DOI 10.1108/17554210910949896
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   McCartney G, 2008, J CONV EVENT TOUR, V9, P293, DOI 10.1080/15470140802493380
   McCartney G, 2021, CURR ISSUES TOUR, V24, P2683, DOI 10.1080/13683500.2020.1762549
   McCartney G, 2020, TOUR HOSP RES, V20, P317, DOI 10.1177/1467358419873063
   McCartney G, 2017, TOURISM AND RESILIENCE, P195, DOI 10.1079/9781780648330.0195
   McKenzie D., 2020, DESPITE PROMISES SOL
   McKibbin W, 2021, ASIAN ECON PAP, V20, P1, DOI 10.1162/asep_a_00796
   Menezes J. P, 2018, 2020 MACAU SLATED BE
   Nadkarni S., 2003, P 2 DEHAAN TOUR MAN
   Pang L, 2021, J CHINA TOUR RES, V17, P33, DOI 10.1080/19388160.2019.1699883
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Pine R., 2004, International Journal of Contemporary Hospitality Management, V16, P139, DOI 10.1108/09596110410520034
   Restemeyer B, 2015, PLAN THEORY PRACT, V16, P45, DOI 10.1080/14649357.2014.1000950
   Ritchie BW, 2019, ANN TOURISM RES, V79, DOI 10.1016/j.annals.2019.102812
   Ryu K., 2004, J HOSP FINANCIAL MAN, V12, P15, DOI [DOI 10.1080/10913211.2004.10653783, 10.1080/10913211.2004.10653783]
   Scudellari M, 2020, NATURE, V584, P22, DOI 10.1038/d41586-020-02278-5
   Sheng L, 2009, CITIES, V26, P67, DOI 10.1016/j.cities.2009.01.002
   Sigala M, 2020, J BUS RES, V117, P312, DOI 10.1016/j.jbusres.2020.06.015
   Smith A., 2020, COVID 19 VACCINES AR
   Sydnor-Bousso S., 2011, Journal of Human Resources in Hospitality & Tourism, V10, P195, DOI 10.1080/15332845.2011.536942
   Tew P. J., 2008, International Journal of Contemporary Hospitality Management, V20, P332, DOI 10.1108/09596110810866145
   Visacovsky SE, 2020, SOC ANTHROPOL, V28, P379, DOI 10.1111/1469-8676.12836
   Voltes-Dorta A, 2017, TOURISM MANAGE, V59, P449, DOI 10.1016/j.tourman.2016.09.001
   Wan PYK, 2014, INT J HOSP TOUR ADM, V15, P78, DOI 10.1080/15256480.2014.872901
   Wan YKP, 2013, INT J TOUR RES, V15, P52, DOI 10.1002/jtr.873
   Wilson GA, 2015, ENVIRON VALUE, V24, P227, DOI 10.3197/096327114X13947900182157
   Wong J. K. C., 2020, MACAU CHIEF EXECUTIV
   Wu V, 2017, TOP CHINA OFFICIAL U
   Yu CE, 2019, TOURISM MANAGE, V75, P257, DOI 10.1016/j.tourman.2019.05.011
NR 57
TC 102
Z9 103
U1 18
U2 361
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD MAY
PY 2021
VL 112
AR 103130
DI 10.1016/j.cities.2021.103130
EA FEB 2021
PG 9
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA RE4SO
UT WOS:000634146200003
PM 34812216
OA Green Published
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Vitale, C
   Meijerink, S
   Moccia, FD
   Ache, P
AF Vitale, Corinne
   Meijerink, Sander
   Moccia, Francesco Domenico
   Ache, Peter
TI Urban flood resilience, a discursive-institutional analysis of planning
   practices in the Metropolitan City of Milan
SO LAND USE POLICY
LA English
DT Article
DE Institutional analysis; Discursive analysis; Flood risk management;
   Urban flood resilience; Spatial planning
ID MANAGEMENT; RISK
AB Flood risk is increasing all over the globe due to urbanization and the effects of climate change. Water managers and urban planners try to cope with flood risk by enhancing urban flood resilience. Three main discourses of resilience are engineering, ecological, and socio-ecological resilience. Whereas the discourse of engineering resilience emphasizes the use of flood protection infrastructures, the discourses of ecological and socio-ecological resilience advocate river restoration and spatial strategies to reduce flood risk. In this paper, we investigate which resilience discourse is dominant in the Lambro river basin (Metropolitan City of Milan), and how this discourse has been translated into institutions (rules-in-use) and outcomes, such as flood protection infrastructures or building regulations. Our discursive-institutional analysis is informed by the (politicized) Institutional Analysis and Development (IAD) framework, which highlights the role of discursive, institutional, and contextual factors in explaining the outcomes of strategic interactions within action arenas. It is shown that whereas bottom-up initiatives try to foster socio-ecological resilience, the engineering resilience discourse still dominates within the Lambro river basin because national policies and funds are geared towards hard infrastructure measures.
C1 [Vitale, Corinne; Meijerink, Sander; Ache, Peter] Radboud Univ Nijmegen, Inst Management Res, Heyendaalseweg 141, NL-6525 AJ Nijmegen, Netherlands.
   [Moccia, Francesco Domenico] Univ Naples Federico II, Dept Architecture, Via Toledo 402, I-80134 Naples, Italy.
C3 Radboud University Nijmegen; University of Naples Federico II
RP Vitale, C (corresponding author), Radboud Univ Nijmegen, Inst Management Res, Heyendaalseweg 141, NL-6525 AJ Nijmegen, Netherlands.
EM c.vitale@fm.ru.nl; s.meijerink@fm.ru.nl; fdmoccia@unina.it;
   p.ache@fm.ru.nl
RI Vitale, Corinne/AAD-6837-2022; Moccia, Francesco/R-9106-2019; Meijerink,
   Sander/D-6490-2012
FU  [152/2006];  [189/1989]
FX The legislative decree n.152/2006 replaced the river basin Authorities
   (established in Italy by the national law n.189/1989 and following
   updates) with the river basin district Authorities. Eight river basin
   district Authorities have been established in Italy, which are charged
   with the river basin district plans. In the domain of the general water
   management and more specifically flood risk management, the Po river
   basin district Authority is responsible for river basin planning while
   the Agenzia Interregionale per i1 Fiume Po (AIPO) is responsible for the
   implementation phase. The plans provide risk maps and define allowed or
   prohibited transformations within the basin.
CR Aciemo A., 2015, URBAN, V8, P9
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2016, ECOL SOC, DOI DOI 10.5751/ES-08921-210453
   [Anonymous], 2016, ECOL SOC, DOI DOI 10.5751/ES-08854-210452
   [Anonymous], 2005, UNDERSTANDING I DIVE, DOI DOI 10.2307/2082975
   Autorita di Bacina del Fiume Po,Piano Stralcio Per l'Assetto Idrogeologico (PAI), 2001, PIANO STRALCIO ASSET
   Autorita di Bacino del Fiume Po, 2016, PIAN GEST RICH ALL P
   Autorita di Bacino del Fiume Po, 2003, PIANO STRALCIO ASSET
   Autorita di Bacino del Fiume Po,Piano Stralcio Per l'Assetto Idrogeologico(PAI), 2001, MODIFICHE INTEGRAZIO
   Bastiani M., 2011, PIANIFICAZIONE STRAT
   Berruti G., 2016, PLANNING KNOWLEDGE P, P99
   Bianchini A., 2017, CONTRATTI FIUME ITAL
   Boezi, 2017, IL GIORNALE
   Clement F, 2010, POLICY SCI, V43, P129, DOI 10.1007/s11077-009-9100-8
   Dantino P., 2006, PROGRAMMAZIONE NEGOZ
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   de Bruijn K, 2017, ENVIRON SCI POLICY, V70, P21, DOI 10.1016/j.envsci.2017.02.001
   European Environment Agency, 2016, RIV FLOODS
   European Environment Agency, 2013, FLOOD RISK EUR LONG
   Feyen L, 2012, CLIMATIC CHANGE, V112, P47, DOI 10.1007/s10584-011-0339-7
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   FOLKE C, 2010, ECOL SOC, V0015, DOI [DOI 10.1038/nnano.2011.191, DOI 10.1038/NNANO.2011.191]
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fondzione Cariplo, 2012, PIANO AZIONE
   Fossati D, 2014, POLITICA REGIONALE S
   Foucault Michel., 1975, Surveiller etpunir
   Goria A, 2004, ENVIRON POLICY, V40, P265
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hajer M.A., 1996, The politics of environmental discourse
   Hegger DLT, 2014, WATER RESOUR MANAG, V28, P4127, DOI 10.1007/s11269-014-0732-x
   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]
   Hurwicz Leonid., 1994, Review of Economic Design, V1, P1, DOI [10.1007/BF02716611, DOI 10.1007/BF02716611]
   Kaufmann M., 2016, LAND USE POLICY, DOI [10.1016/j.landusepol.2016.05.033, DOI 10.1016/MANDUS(P01.2016.05.033]
   Kaufmann M., 2017, THESIS
   Kundzewicz ZW, 2018, P NATL ACAD SCI USA, V115, P12321, DOI 10.1073/pnas.1818227115
   Larrue Corinne., 2016, Analysing and Evaluating Flood Risk Governance in France: From State Policy to Local Strategies
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Longo A., 2016, RE LAMBRO FIUME NUOV
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meijerink S, 2008, INT J WATER RESOUR D, V24, P499, DOI 10.1080/07900620801921363
   Ministero dell'Ambiente e della Tutela del Territorio e del Mare, 2015, REL CIPE ORD INT COR
   Minutolo A., 2017, ECOSISTEMA RISCHIO M
   Oosterberg W., 2005, P 45 C EUR REG SCI A
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E., 2007, THEORIES POLICY PROC, DOI DOI 10.4324/9780367274689-2
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Ran J, 2016, COMPUT ENVIRON URBAN, V57, P68, DOI 10.1016/j.compenvurbsys.2016.01.008
   Redazione Legislazione Tecnica, 2017, DISS IDR PIAN INT 20
   Regione Lombardia, 2018, FIUM LAMBR
   Regione Lombardia, 2009, B UFF REG LOMB, V28, P2033
   Regione Lombardia, 2012, CONTR FIUM LAMBR SET
   Regione Lombardia, 2015, PROGR AZ 2015
   Regione Lombardia, 2015, REL PROGR NEG LOMB
   Regione Lombardia, 2017, CDF LIV NAZ RIF NORM
   Regione Lombardia, 2018, SCOPR PERCH LOMB SP, V2
   Regione Lombardia, 2018, FIUM SIC LOMB OB AZ
   Regione Lombardia, 2018, ECONOMIA
   Regione Lombardia, 2009, ACC PROGR SALV IDR R
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Trigila A., 2017, QUADRO DISSESTO IDRO
   Trigila A., 2018, ISPRA RAPPORTI
   van den Hurk M, 2014, LAND USE POLICY, V36, P416, DOI 10.1016/j.landusepol.2013.09.017
   Vis M., 2003, International Journal of River Basin Management, V1, P33, DOI [10.1080/15715124.2003.9635190, DOI 10.1080/15715124.2003.9635190]
   Vitillio P, 2017, MILANO EST ITINERARI
   Voghera A, 2015, P C EN ENV DEV EC, P351
   Whaley L, 2015, ECOL SOC, V20, DOI 10.5751/ES-07769-200343
   Zevenbergen C, 2008, J FLOOD RISK MANAG, V1, P81, DOI 10.1111/j.1753-318X.2008.00010.x
NR 69
TC 28
Z9 30
U1 11
U2 44
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 JUN
PY 2020
VL 95
AR 104575
DI 10.1016/j.landusepol.2020.104575
PG 16
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LU5VQ
UT WOS:000537823200027
OA Green Published
DA 2025-04-22
ER

PT J
AU Hou, LG
   Cui, MR
AF Hou, Langong
   Cui, Mengru
TI A new insight to investigate the developmental resilience of
   Chengdu-Chongqing twin-city economic circle based on ecological niche
   theory
SO JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING
LA English
DT Article; Early Access
DE Ecological niche; suitability; diversity; robustness; regional
   resilience
AB Enhancing the resilience of urban agglomerations is crucial for regional sustainable development. By analyzing the regional resilience of Chengdu-Chongqing Twin Cities Economic Circle (CCEC) from 2006 to 2018, this paper explores the development level of regional resilience, and tries to apply the new perspective of niche related method to the research of regional resilience. Based on the urban resilience theory and the ecological niche theory, this paper constructs the regional resilience index (RRI) from the four dimensions of ecology, economy, society and resources, and selects the suitability, robustness and diversity indicators to construct the regional resilience evaluation index system. The results show that the regional suitability of the central urban area shows a positive trend, showing that the suitability of urban development in the core area is better, and the suitability of urban development in the second edge area is weaker. From the perspective of regional robustness characteristics, the differences in the four dimensions of ecology, economy, society and resources are on the rise, and there are certain risks of system robustness. From the characteristics of regional diversity, the interaction between cities at the same level is more frequent, the competition between core cities is fierce, the secondary cities are homogeneous, the system function and structure similarity within the region is high, and the diversity of regional resilience is poor. Finally, the current situation of resilience in the CCEC region is discussed and suggestions for optimization are made.
C1 [Hou, Langong; Cui, Mengru] Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621000, Peoples R China.
C3 Southwest University of Science & Technology - China
RP Cui, MR (corresponding author), Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621000, Peoples R China.
EM 774884116@qq.com
FU Key Project of Zhejiang Philosophy and Social Science Planning Project
   [19NDJC003Z]; Research on Mechanism and Countermeasures of Promoting
   Integrated development of pension and health industry in Zhejiang
   Province [2018C 35063]
FX This work was supported by the 2019 Key Project of Zhejiang Philosophy
   and Social Science Planning Project [19NDJC003Z]; Research on Mechanism
   and Countermeasures of Promoting Integrated development of pension and
   health industry in Zhejiang Province [No.2018C 35063].
CR Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   [陈长坤 Chen Changkun], 2018, [中国安全科学学报, China Safety Science Journal（CSSJ）], V28, P1
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Foster K. A., 2008, Working Paper, 2007-08
   [贺灿飞 He Canfei], 2019, [地理科学进展, Progress in Geography], V38, P1558
   He J. H., 2022, Resource Development Market, V38, P46
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   [胡晓辉 Hu Xiaohui], 2018, [地理研究, Geographical Research], V37, P1308
   Li G., 2018, J SHANDONG U SCI TEC, V20, P83
   Li L. G., 2019, Hum. Geogr, V2, P1, DOI [10.13959/j.issn.1003-2398.2019.02.001, DOI 10.13959/J.ISSN.1003-2398.2019.02.001]
   Li T., 2017, Urban Planning International, V32, P15, DOI [10.22217/upi.2015.284, DOI 10.22217/UPI.2015.284]
   Li T. Y., 2018, Urban and Regional Planning Research, V29, P273
   Li Y., 2016, Urban Structure, V23, P113
   [李艳 Li Yan], 2019, [地理研究, Geographical Research], V38, P1694
   Lu L., 2020, Urban Issues, V301, P42
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   [彭翀 Peng Chong], 2018, [地理研究, Geographical Research], V37, P1193
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   [孙阳 Sun Yang], 2017, [中国人口·资源与环境, China Population Resources and Environment], V27, P151
   Wang Xiaozeng, 2023, Journal of Aerospace Power, P70, DOI 10.13224/j.cnki.jasp.20220154
   Xu Z.Y., 2021, Hum. Geogr, V36, P82
   杨天荣, 2017, [地理研究, Geographical Research], V36, P441
   Zhang P., 2018, URBAN PROBL, V9, P27, DOI 10.13239/j.bjsshkxy.cswt.180904
   [郑艳 Zheng Yan], 2018, [中国人口·资源与环境, China Population Resources and Environment], V28, P31
NR 26
TC 1
Z9 1
U1 9
U2 9
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1346-7581
EI 1347-2852
J9 J ASIAN ARCHIT BUILD
JI J. Asian Archit. Build. Eng.
PD 2024 SEP 1
PY 2024
DI 10.1080/13467581.2024.2397109
EA SEP 2024
PG 13
WC Architecture; Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture; Construction & Building Technology
GA E3W8B
UT WOS:001302349400001
OA gold
DA 2025-04-22
ER

PT J
AU Wang, Y
   Taylor, JE
   Garvin, MJ
AF Wang, Yan
   Taylor, John E.
   Garvin, Michael J.
TI Measuring Resilience of Human-Spatial Systems to Disasters: Framework
   Combining Spatial-Network Analysis and Fisher Information
SO JOURNAL OF MANAGEMENT IN ENGINEERING
LA English
DT Article
DE Disaster management; Fisher information; Human mobility; Network
   analysis; Resilience; Urban system
AB Improving urban resilience to disasters becomes well-recognized in both industry and academia, but resilience remains challenging to be operationalized, especially in complex urban contexts. Currently, longitudinal empirical studies on measuring resilience at fine-grains of space and time are lacking. Few methods can quantify resilience on an urban scale based on collective responses of individuals in a real disaster and can be adopted in distinct disaster contexts with crowdsourced data. We explored the potential advantages of network analysis to describe a complex human-spatial system (HSS). We integrated insights from the research field of socio-environmental systems, finding Fisher information (FI) to be an effective tool to quantify the dynamics of resilience. Consequently, we propose a quantitative framework, combining network analysis and FI, to measure resilience of HSS to disasters. We generated spatial networks with aggregated geolocations from a Twitter streaming API, and computed and compared network-wide metrics before, during, and after a disaster. FI was employed to detect mobility perturbations and to reveal the dynamic process of resilience over time. We applied our spatial-network analysis and FI framework to examine Hurricane Harvey and the subsequent flood in Greater Houston, Texas, in 2017. The analysis uncovers changed statuses and durations in the spatial network and suggests an intrinsic resilience of the HSS. The data-driven analytical framework contributes to an enhanced spatiotemporal understanding of urban resilience through a human-mobility perspective and to improved management of integrated cyber, human, and infrastructure systems.
C1 [Wang, Yan] Univ Florida, Dept Urban & Reg Planning, POB 115706, Gainesville, FL 32611 USA.
   [Wang, Yan] Univ Florida, Florida Inst Built Environm Resilience, POB 115706, Gainesville, FL 32611 USA.
   [Taylor, John E.] Georgia Inst Technol, Sch Civil & Environm Engn, Mason 4140c, Atlanta, GA 30332 USA.
   [Garvin, Michael J.] Virginia Tech, Charles E Via Jr Dept Civil & Environm Engn, Patton 116, Blacksburg, VA 24060 USA.
C3 State University System of Florida; University of Florida; State
   University System of Florida; University of Florida; University System
   of Georgia; Georgia Institute of Technology; Virginia Polytechnic
   Institute & State University
RP Wang, Y (corresponding author), Univ Florida, Dept Urban & Reg Planning, POB 115706, Gainesville, FL 32611 USA.; Wang, Y (corresponding author), Univ Florida, Florida Inst Built Environm Resilience, POB 115706, Gainesville, FL 32611 USA.
EM yanw@ufl.edu; jet@gatech.edu; garvin@vt.edu
RI Garvin, Michael/JGL-6361-2023
OI Wang, Yan/0000-0002-3946-9418; Taylor, John/0000-0002-8949-3248
FU National Science Foundation [1760645]; Virginia Tech BioBuild
   Interdisciplinary Graduate Education Program (IGEP); University of
   Florida; Direct For Computer & Info Scie & Enginr; Div Of Information &
   Intelligent Systems [1760645] Funding Source: National Science
   Foundation
FX This material is based on work supported by the National Science
   Foundation under Grant No. 1760645,Virginia Tech BioBuild
   Interdisciplinary Graduate Education Program (IGEP), and University of
   Florida. 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 National Science
   Foundation,Virginia Tech, or the University of Florida.
CR Ahmad N., 2015, USING FISHER I UNPUB
   Angeler DG, 2016, J APPL ECOL, V53, P617, DOI 10.1111/1365-2664.12649
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   [Anonymous], 2017, FEMA
   Barrett CB, 2014, P NATL ACAD SCI USA, V111, P14625, DOI 10.1073/pnas.1320880111
   Blake E. S., 2018, NAT HURR CTR TROP CY
   Bodin Ö, 2007, LANDSCAPE ECOL, V22, P31, DOI 10.1007/s10980-006-9015-0
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   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
   Cutter S. L., 2012, DIRENAT IMP
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Cutter SusanL., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P282
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Desroches R., 2018, Bridge, V48, P13
   Eason T, 2016, J APPL ECOL, V53, P656, DOI 10.1111/1365-2664.12597
   Eason T, 2012, J ENVIRON MANAGE, V94, P41, DOI 10.1016/j.jenvman.2011.08.003
   Eid MS, 2017, J MANAGE ENG, V33, DOI 10.1061/(ASCE)ME.1943-5479.0000487
   Fisher RA., 1922, PHILOS T R SOC A, V222, P309, DOI [10.1098/rsta.1922.0009, DOI 10.1098/RSTA.1922.0009]
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Fu W, 2010, LANDSCAPE URBAN PLAN, V95, P122, DOI 10.1016/j.landurbplan.2009.12.009
   Garmestani AS, 2013, ECOL SOC, V18, DOI 10.5751/ES-05180-180109
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   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]
   Hufschmidt G, 2011, NAT HAZARDS, V58, P621, DOI 10.1007/s11069-011-9823-7
   Ilbeigi M, 2018, J MANAGE ENG, V34, DOI 10.1061/(ASCE)ME.1943-5479.0000566
   Jacoby DMP, 2016, TRENDS ECOL EVOL, V31, P301, DOI 10.1016/j.tree.2016.01.011
   Jonkman SN, 2018, NAT HAZARD EARTH SYS, V18, P1073, DOI 10.5194/nhess-18-1073-2018
   Karunanithi AT, 2008, ECOL SOC, V13
   Kossin JP, 2018, NATURE, V558, P104, DOI 10.1038/s41586-018-0158-3
   Lam NSN, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000193
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Mansury Y, 2015, COMPUT ENVIRON URBAN, V54, P428, DOI 10.1016/j.compenvurbsys.2015.08.004
   Mao Q, 2018, NAT HAZARDS, V93, P315, DOI 10.1007/s11069-018-3302-3
   Mayer A L., 2007, Exploratory Data Analysis Using Fisher Information, P217, DOI DOI 10.1007/978-1-84628-777-07
   Meekan MG, 2017, TRENDS ECOL EVOL, V32, P198, DOI 10.1016/j.tree.2016.12.006
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Moore C, 2016, J APPL ECOL, V53, P636, DOI 10.1111/1365-2664.12486
   Moore C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0086973
   National Academies, 2021, Disaster Resilience: A National Imperative, DOI [10.17226/13457, DOI 10.17226/13457]
   National Hurricane Center, 2017, HURR HARVEY ADV ARCH
   Newman MEJ, 2006, P NATL ACAD SCI USA, V103, P8577, DOI 10.1073/pnas.0601602103
   Newman MEJ, 2002, PHYS REV LETT, V89, DOI 10.1103/PhysRevLett.89.208701
   Nicholson D, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101224
   NOAA (National Oceanic and Atmospheric Administration), 2017, HURR HARV ITS IMP SE
   Pavalanathan U., 2015, CONFOUNDS CONSEQUENC
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Spears BM, 2015, J APPL ECOL, V52, P1311, DOI 10.1111/1365-2664.12497
   Sundstrom SM, 2017, ECOL LETT, V20, P19, DOI 10.1111/ele.12709
   Swier N., 2015, GSS METHODOLOGY SERI
   Tang LYN, 2017, J MANAGE ENG, V33, DOI 10.1061/(ASCE)ME.1943-5479.0000554
   US Census Bureau, 2010, ZIP COD TAB AR ZCTAS
   van Oldenborgh GJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa9ef2
   Wang Y., 2019, P ASCE INT C COMP CI, DOI [10.1061/9780784482445.071, DOI 10.1061/9780784482445.071]
   Wang Y, 2020, STEMEDICINE, V1, pe11, DOI 10.37175/stemedicine.v1i1.11
   Wang Y, 2016, CLIN SPINE SURG, V30, pE370
   Wang Y, 2019, J COMPUT CIVIL ENG, V33, DOI 10.1061/(ASCE)CP.1943-5487.0000819
   Wang Y, 2018, NAT HAZARDS, V92, P907, DOI 10.1007/s11069-018-3231-1
   Wang Y, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188734
   Wasserman S., 1994, SOCIAL NETWORK ANAL, V8, P220
   Wu LH, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0147216
   Yao F, 2020, COMPUT ENVIRON URBAN, V79, DOI 10.1016/j.compenvurbsys.2019.101419
   Zhong C, 2014, INT J GEOGR INF SCI, V28, P2178, DOI 10.1080/13658816.2014.914521
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
NR 66
TC 28
Z9 30
U1 9
U2 93
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 JUL 1
PY 2020
VL 36
IS 4
AR 04020019
DI 10.1061/(ASCE)ME.1943-5479.0000782
PG 12
WC Engineering, Industrial; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering
GA LS0ZA
UT WOS:000536120800031
DA 2025-04-22
ER

PT J
AU Yang, QY
   Yang, D
   Li, P
   Liang, SL
   Zhang, ZH
AF Yang, Qiaoyun
   Yang, Dan
   Li, Peng
   Liang, Shilu
   Zhang, Zhenghu
TI A Bibliometric and Visual Analysis of Global Community Resilience
   Research
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Review
DE community resilience; urban development; bibliometric analysis; hotspots
ID INFORMATION SCIENCES; FRAMEWORK; LINKING; HEALTH; RISK; DEFINITIONS;
   SCOPUS; MODEL; WEB
AB Resilience is an important issue in urban development, and community resilience (CR) is the most typical representative in building urban resilience, which has become the forefront of international resilience research. This paper presents a bibliometric and visual analysis of community resilience research collected from the WoS Core Collection database over the past two decades. H-index, citation frequency, centrality and starting year were adopted to analyze the research objects by bibliometric tools including CiteSpace, VOSviewer, and Gephi. The national and institutional characteristics of macro-geographical distribution and the characteristics of disciplines, journals, authors, and author cooperation of micro-knowledge network distribution were revealed. Finally, the potential research directions of community resilience in the future were discussed. The results show that there are three stages in community resilience research. Seven intellectual bases constitute the research background for community resilience, including social capital mechanism, the evolution of resilience knowledge, earthquake resistance and disaster mitigation, substance abuse, resilient development in rural communities, resilience-building in the least-developed countries, and emergency preparedness. Our analysis shows that the hottest community resilience research topics are the concept of resilience, climate resilience, the social capital mechanism, macro-environment and disaster-reduction policies, and an evaluation index system for community resilience.
C1 [Yang, Qiaoyun; Yang, Dan; Li, Peng; Liang, Shilu] Dalian Univ Technol, Fac Humanities & Social Sci, Dalian 116024, Peoples R China.
   [Zhang, Zhenghu] Dalian Univ Technol, Sch Civil Engn, Dalian 116024, Peoples R China.
C3 Dalian University of Technology; Dalian University of Technology
RP Li, P (corresponding author), Dalian Univ Technol, Fac Humanities & Social Sci, Dalian 116024, Peoples R China.; Zhang, ZH (corresponding author), Dalian Univ Technol, Sch Civil Engn, Dalian 116024, Peoples R China.
EM qiaoyunyang@dlut.edu.cn; 18847130748@163.com; lipeng@dlut.edu.cn;
   liangshilu@mail.dlut.edu.cn; zhenghuzhang@dlut.edu.cn
RI Zhang, Zhenghu/JMQ-6933-2023
OI Zhang, Zhenghu/0000-0003-2141-9997
FU National Social Science Foundation of China [17CGL048]
FX This study was financially supported by the National Social Science
   Foundation of China (No. 17CGL048).
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adger WN, 2003, ECON GEOGR, V79, P387
   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
   [Anonymous], COMMUNITY RESILIENCE
   [Anonymous], 2009, PLANNING CLIMATE CHA
   [Anonymous], 2011, PLANNING CLIMATE CHA
   [Anonymous], 2014, Principles and Applications of Analyzing a Citation Space.
   [Anonymous], TRANSF OUR WORLD 203
   Berkes F, 2002, CONSERV ECOL, V5
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bhattacharya D, 2012, J INT DEV, V24, P673, DOI 10.1002/jid.2860
   Buikstra E, 2010, J COMMUNITY PSYCHOL, V38, P975, DOI 10.1002/jcop.20409
   Cariolet J.M., 2019, CITIES SOC, V51, P14
   Cavaye J, 2019, COMMUNITY DEV, V50, P181, DOI 10.1080/15575330.2019.1572634
   Chen C., THE CITESPACE MANUAL
   Chen CM, 2014, EXPERT OPIN BIOL TH, V14, P1295, DOI 10.1517/14712598.2014.920813
   Chen CM, 2004, P NATL ACAD SCI USA, V101, P5303, DOI 10.1073/pnas.0307513100
   Cohen O, 2013, TECHNOL FORECAST SOC, V80, P1732, DOI 10.1016/j.techfore.2012.12.009
   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
   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
   Eggerman M, 2010, SOC SCI MED, V71, P71, DOI 10.1016/j.socscimed.2010.03.023
   Einecker R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176935
   Elliott JR, 2010, SOCIOL QUART, V51, P624, DOI 10.1111/j.1533-8525.2010.01186.x
   Falagas ME, 2008, FASEB J, V22, P338, DOI 10.1096/fj.07-9492LSF
   Fergus S, 2005, ANNU REV PUBL HEALTH, V26, P399, DOI 10.1146/annurev.publhealth.26.021304.144357
   Finzi Y, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102365
   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
   Garousi V, 2016, COMPUT SCI REV, V19, P56, DOI 10.1016/j.cosrev.2015.12.002
   Garrigos-Simon FJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061976
   Gizzi FT, 2018, SURV GEOPHYS, V39, P1039, DOI 10.1007/s10712-018-9475-1
   Guo YM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133606
   Harvey AR, 2004, SOC WORK, V49, P65, DOI 10.1093/sw/49.1.65
   Hawkins RL, 2010, BRIT J SOC WORK, V40, P1777, DOI 10.1093/bjsw/bcp087
   Hoffmann R, 2017, WORLD DEV, V96, P32, DOI 10.1016/j.worlddev.2017.02.016
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, ENG ECOLOGICAL CONST, V1st, DOI 10.17226/4919
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hurlbert JS, 2000, AM SOCIOL REV, V65, P598, DOI 10.2307/2657385
   Ji H, 2021, DISASTERS, V45, P378, DOI 10.1111/disa.12424
   KANIASTY K, 1993, J PERS SOC PSYCHOL, V64, P395, DOI 10.1037/0022-3514.64.3.395
   Koseoglu MA, 2016, ANN TOURISM RES, V61, P180, DOI 10.1016/j.annals.2016.10.006
   Krauskopf E, 2018, J INFECT PUBLIC HEAL, V11, P224, DOI 10.1016/j.jiph.2017.12.011
   Kyne D, 2020, RISK HAZARDS CRISIS, V11, P61, DOI 10.1002/rhc3.12183
   Laengle S, 2018, INT J COMPUT INTEG M, V31, P1247, DOI 10.1080/0951192X.2018.1529434
   Lee YC, 2016, APPL SCI-BASEL, V6, DOI 10.3390/app6010011
   Levac J, 2012, J COMMUN HEALTH, V37, P725, DOI 10.1007/s10900-011-9488-x
   Li J., CITESPACE CHINESE GU
   Liang HK, 2020, INT J OCCUP SAF ERGO, V26, P469, DOI 10.1080/10803548.2018.1444565
   Liu ZG, 2015, SCIENTOMETRICS, V103, P135, DOI 10.1007/s11192-014-1517-y
   Manyena SB, 2006, DISASTERS, V30, P433
   Matarrita-Cascante D, 2017, COMMUNITY DEV, V48, P105, DOI 10.1080/15575330.2016.1248458
   Mayer B, 2019, CURR ENV HLTH REP, V6, P167, DOI 10.1007/s40572-019-00239-3
   McManus P, 2012, J RURAL STUD, V28, P20, DOI 10.1016/j.jrurstud.2011.09.003
   Meenawat H, 2011, MITIG ADAPT STRAT GL, V16, P515, DOI 10.1007/s11027-010-9277-3
   Meho LI, 2007, J AM SOC INF SCI TEC, V58, P2105, DOI 10.1002/asi.20677
   Merigó JM, 2018, INFORM SCIENCES, V432, P245, DOI 10.1016/j.ins.2017.11.054
   Mthembu A, 2020, TOWN REG PLAN, V77, P42, DOI 10.18820/2415-0495/trp77i1.4
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ntontis E, 2019, J CONTING CRISIS MAN, V27, P2, DOI 10.1111/1468-5973.12223
   OGRADY D, 1987, J PEDIATR PSYCHOL, V12, P3, DOI 10.1093/jpepsy/12.1.3
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Ouyang M, 2014, STRUCT SAF, V48, P15, DOI 10.1016/j.strusafe.2014.01.001
   Pfefferbaum B, 2017, CLIN SOC WORK J, V45, P102, DOI 10.1007/s10615-015-0556-z
   Pfefferbaum RL, 2013, J PUBLIC HEALTH MAN, V19, P250, DOI 10.1097/PHH.0b013e318268aed8
   Poortinga W, 2012, HEALTH PLACE, V18, P286, DOI 10.1016/j.healthplace.2011.09.017
   Powell Taman H., 2016, International Journal of Entrepreneurship and Innovation Management, V20, P174
   PRITCHARD A, 1969, J DOC, V25, P348
   Randhawa K, 2016, J PROD INNOVAT MANAG, V33, P750, DOI 10.1111/jpim.12312
   Reisner SL, 2016, LANCET, V388, P412, DOI 10.1016/S0140-6736(16)00684-X
   Rodriguez Havidan, 2006, Front Health Serv Manage, V23, P13
   Schoch-Spana M, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16132372
   Sharifi A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155918
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Vugrin ED, 2011, PROCESS SAF PROG, V30, P280, DOI 10.1002/prs.10437
   Wen QJ, 2021, AUTOMAT CONSTR, V124, DOI 10.1016/j.autcon.2021.103558
   Williams C.C., 2004, REV POLICY RES, V21, P729, DOI [DOI 10.1111/J.1541-1338.2004.00104.X, DOI 10.1111/j.1541-1338.2004.00104.x]
   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
   WILSON RS, 1985, DEV PSYCHOL, V21, P795, DOI 10.1037/0012-1649.21.5.795
   Wisco BE, 2014, J CLIN PSYCHIAT, V75, P1338, DOI 10.4088/JCP.14m09328
   Xu H., 2021, INT J ENV RES PUB HE, V18, P27
   Yu DJ, 2017, INFORM SCIENCES, V418, P619, DOI 10.1016/j.ins.2017.08.031
NR 88
TC 37
Z9 40
U1 26
U2 279
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 2021
VL 18
IS 20
AR 10857
DI 10.3390/ijerph182010857
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 2I9QA
UT WOS:000815304200001
PM 34682602
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Tian, Y
   Guo, LH
AF Tian, Yao
   Guo, Lihong
TI Digital development and the improvement of urban economic resilience:
   Evidence from China
SO HELIYON
LA English
DT Article
DE Digital development; Economic resilience; Broadband China; Threshold
   effect; Spatial effect
ID BROAD-BAND
AB Digital technologies are empowering economic and social development, which attracts scholars' attention to the relationship between digitalization and economic resilience, However, the empirical analysis for different countries and stages of development are inconsistent, and the influencing mechanism need to be further explored. Using panel data for 284 prefecture-level cities in China from 2007 to 2020, this study examines the impact of urban digital develop-ment on economic resilience. The findings are as follows: (1) The increased digitalization significantly enhances the urban economic resilience, and this effect was more pronounced in eastern regions and large-scale cities. (2) The relationship between digitalization and economic resilience follows an inverted U-shape as population density increases. (3) The spatial effects show that increased digitalization has a significant positive effect on local economic resilience, but weakens the resilience of the surrounding areas. (4) The analysis of mechanism reveals that the positive impact of digitalization on the urban economic resilience is mainly achieved by improving the quality of the regional labor force and total factor productivity. The study provides theoretical and empirical evidence for accelerating the digital construction, fully releasing the digital dividend in order to strengthen economic resilience.
C1 [Tian, Yao; Guo, Lihong] Northwest Univ, Sch Econ & Management, Xian 710127, Peoples R China.
C3 Northwest University Xi'an
RP Tian, Y (corresponding author), Northwest Univ, Sch Econ & Management, Xian 710127, Peoples R China.
EM tianyao@stumail.nwu.edu.cn
CR Aghion P., 2020, WHAT ARE LABOR PRODU
   Ashmore FH, 2017, J RURAL STUD, V54, P408, DOI 10.1016/j.jrurstud.2016.09.004
   Atasoy H, 2013, ILR REV, V66, P315, DOI 10.1177/001979391306600202
   Autio E, 2017, STRATEG ENTREP J, V11, P211, DOI 10.1002/sej.1261
   Autor DH, 2015, J ECON PERSPECT, V29, P3, DOI 10.1257/jep.29.3.3
   Bian Y., 2018, Finance & Trade Economics, V39, P147
   Cao J., 2018, EC PERSPECT, V683, P103
   Chen A., 2022, J. World Econ, V1, P158
   Chen M.G., 2023, J. Quant. Techn, Econ., P1
   Cheng Z.H., 2022, Urban. Probl., V10, P93
   Cotis J.P., 2005, Chang Nature Bus Cyc., P8
   Cui G., 2021, J. Shanxi Univ. Finance Econ, V43, P29, DOI [10.13781/j.cnki.1007-9556.2021.12.003, DOI 10.13781/J.CNKI.1007-9556.2021.12.003]
   Ding L., 2023, J. Mod. Manag. Sci, V340, P132
   Doran J, 2018, ENVIRON PLANN A, V50, P111, DOI 10.1177/0308518X17736067
   Du YA, 2023, INT REV FINANC ANAL, V88, DOI 10.1016/j.irfa.2023.102709
   Fan H., 2020, Journal of Capital University of Economics and Business, V22, P3, DOI [10.13504/j.cnki.issn1008-2700.2020.04.001, DOI 10.13504/J.CNKI.ISSN1008-2700.2020.04.001]
   Fang S.H., 2021, China Industrial Economics, V11, P97, DOI 10.13821/j.cnki.ceq.2021.06.06
   FEDER G, 1983, J DEV ECON, V12, P59, DOI 10.1016/0304-3878(83)90031-7
   Fujita M., 2002, Economics of agglomeration: Cities, industrial location, and regional growth, DOI [10.1017/CBO9780511805660, DOI 10.1017/CBO9780511805660]
   Ge H.P., 2021, NANJING J SOCIAL SCI, P24
   Golder U, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e14454
   Gong C., 2022, Soft Sci, V36, P38, DOI [10.13956/j.ss.1001.8409.2022.05.06, DOI 10.13956/J.SS.1001-8409.2022.05.06, DOI 10.13956/J.SS.1001.8409.2022.05.06]
   Gong Q.L., 2023, Journal of Yunnan Finance and Trade Institute, V39, P68
   Guo JT., 2016, Manage World, V10, P34
   Haibo C, 2023, SAGE OPEN, V13, DOI 10.1177/21582440231153117
   Hansen BE, 1999, J ECONOMETRICS, V93, P345, DOI 10.1016/S0304-4076(99)00025-1
   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]
   JORGENSON D., 2007, Economic Systems Research, V19, P229, DOI DOI 10.1080/09535310701571885
   Lazaroiu G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187705
   Levine R., 2020, Local financial structure and economic resilience
   Li J., 2020, Manage. World, V36, P41
   Li L. G., 2019, Hum. Geogr, V2, P1, DOI [10.13959/j.issn.1003-2398.2019.02.001, DOI 10.13959/J.ISSN.1003-2398.2019.02.001]
   [李连刚 Li Liangang], 2022, [地理科学, Scientia Geographica Sinica], V42, P557
   Li RR, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103880
   Liu C., 2020, Chinese Journal of Population Science, V3, P75
   Liu F, 2020, Finance and Economics, V10, P93
   Martin R, 2015, CAMB J REG ECON SOC, V8, P141, DOI 10.1093/cjres/rsv012
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Marx K., 1847, The Poverty of Philosophy
   Nassim NicholasTaleb., 2014, Anti-Fragile: Things That Grow From Disorder
   Nunn N, 2014, AM ECON REV, V104, P1630, DOI 10.1257/aer.104.6.1630
   Papaioannou S. K, 2021, ICT EC RESILIENCE EV
   QI Y.D., 2020, Economic Perspectives, P17
   Tay L.Y., 2022, Digital Financial Inclusion: A Gateway to Sustainable Development
   Teles VK, 2008, J ECON STUD, V35, P352, DOI 10.1108/01443580810895635
   Tiwasing P, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e10745
   Tranos E, 2021, REG STUD, V55, P1924, DOI 10.1080/00343404.2020.1826420
   Wang L., 2020, NanKai, Econ. Stud., V214, P3
   Wang Q., 2023, Sustain Dev
   Wang Q, 2023, ENVIRON RES, V216, DOI 10.1016/j.envres.2022.114637
   Wang Q, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103382
   [温忠麟 Wen Zhonglin], 2004, [心理学报, Acta Psychologica Sinica], V36, P614
   Wolff J., 1986, The law of bone remodelling, DOI DOI 10.1007/978-3-642-71031-5
   Xu X, 2019, GROWTH CHANGE, V50, P1423, DOI 10.1111/grow.12334
   XU Y., 2019, Financ. Trade Econ, V40, P110
   Yang H., 2021, Statistical Research, V4, P3, DOI DOI 10.19343/J.CNKI.11-1302/C.2021.04.001
   Yuan X., 2020, Econ. Perspect, V60, P88
   Zhang J., 2021, PhD thesis
   Zhao T., 2020, Manag. World, V36, P65, DOI 10.19744/j.cnki.11-1235/f.2020.0154
   Zhifan D., 2020, MOD EC INQ, V39, P85, DOI DOI 10.13891/J.CNKI.MER.2020.01.011
   Zhu J, 2021, Mod Economic Inq, V478, P1
   Zhu J.H., 2021, DISCUSS MOD EC, V10, P1, DOI [10.13891/j.cnki.mer.2021.10.002, DOI 10.13891/J.CNKI.MER.2021.10.002]
NR 62
TC 13
Z9 13
U1 34
U2 135
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD OCT
PY 2023
VL 9
IS 10
AR e21087
DI 10.1016/j.heliyon.2023.e21087
EA OCT 2023
PG 17
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA Z7OQ6
UT WOS:001113938700001
PM 37916111
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Fang, GB
   Xie, MQ
   Zheng, CX
   Wang, JX
AF Fang, Guangbao
   Xie, Mengqing
   Zheng, Chuixue
   Wang, Jiaxin
TI The impact of teacher support on school adaptation among Chinese urban
   adolescents: a moderated mediation model
SO BMC PUBLIC HEALTH
LA English
DT Article
DE Teacher support; Urban adolescents; Resilience; Left-behind status;
   School adaptation
ID SOCIAL SUPPORT; ACADEMIC-ACHIEVEMENT; LOW-INCOME; RESILIENCE;
   ADJUSTMENT; COMPETENCE; ENGAGEMENT; CHILDHOOD; STRESS
AB BackgroundThe issue of school adaptation among urban adolescents has received increasing attention. Previous research has primarily focused on Chinese rural and mobile adolescents, exploring the impact of factors such as teacher support, resilience, and left-behind status on their academic achievement. However, there has been relatively limited research on urban adolescents in this regard.MethodsIn line with the study's objectives, this study selected parent and student questionnaires from the CEPS (2013-2014) and CEPS (2014-2015) datasets for a matched analysis. This process resulted in a final sample of 2502 urban adolescents aged 13 to 15. The key variables examined included teacher academic support, teacher emotional support, teacher relationship support, resilience, school adaptation, and left-behind status. To investigate these relationships, we employed structural equation modeling to explore how resilience mediates the impact of teacher support on school adaptation among urban adolescents. Additionally, we examined whether left-behind status moderates this mediation process.ResultsThe findings reveal that teacher support directly affects the school adaptation of urban adolescents and also indirectly influences it through the mediating role of resilience. Additionally, the left-behind status significantly moderates the direct effect of teacher relationship support on school adaptation among urban adolescents, but it does not similarly affect the direct impact of teacher academic support and emotional support.ConclusionsEnhancing teacher support can effectively enhance the resilience of urban adolescents, leading to improved school adaptation. For left-behind adolescents, strengthening the quality of teacher-student relationships is particularly crucial for their school adaptation. Moreover, providing all students with consistent emotional support is essential, as it positively influences school adaptation regardless of their left-behind status.
C1 [Fang, Guangbao; Xie, Mengqing; Zheng, Chuixue; Wang, Jiaxin] Fujian Normal Univ, Fuzhou, Peoples R China.
C3 Fujian Normal University
RP Fang, GB (corresponding author), Fujian Normal Univ, Fuzhou, Peoples R China.
EM fgb20071507@163.com; qsx20220234@student.fjnu.edu.cn;
   zcx20010309@163.com; zcx2001099@163.com
RI Xie, Mengqing/KZT-9927-2024
FU The 2024 Fujian Province Social Science Research Funding [FJ2024C179]
FX This study supported by 2024 Fujian Province Social Science Research
   Funding (ID: FJ2024C179).
CR Azpiazu L, 2024, EUR J PSYCHOL EDUC, DOI 10.1007/s10212-023-00785-3
   Bollen K.A., 1989, STRUCTURAL EQUATIONS
   Cauce A.M., 1990, SOCIAL SUPPORT, P64
   Chan MK, 2022, J SCHOOL PSYCHOL, V91, P160, DOI 10.1016/j.jsp.2022.01.006
   Chen C., 2016, Open Educ Res, V22, P57
   [陈健芷 Chen Jianzhi], 2013, [中国临床心理学杂志, Chinese Journal of Clinical Psychology], V21, P795
   Chen QH., 2020, Educational Dev Res, V40, P15
   Chen Y., 2019, Educational Res Exp., P88
   Chiu MM, 2012, J YOUTH ADOLESCENCE, V41, P1409, DOI 10.1007/s10964-012-9763-x
   COHEN S, 1985, PSYCHOL BULL, V98, P310, DOI 10.1037//0033-2909.98.2.310
   Cui W, 2017, Chin J Special Educ., P54
   EGELAND B, 1993, DEV PSYCHOPATHOL, V5, P517, DOI 10.1017/S0954579400006131
   Eisinga R, 2013, INT J PUBLIC HEALTH, V58, P637, DOI 10.1007/s00038-012-0416-3
   Elias MJ, 2008, SCHOOL PSYCHOL QUART, V23, P474, DOI 10.1037/1045-3830.23.4.474
   Fan X., 2015, China Agricultural University Journal of Social Sciences Edition, V32, P55
   Fang GB, 2020, INT J PSYCHOL RES, V13, P19, DOI 10.21500/20112084.4480
   Guo JQ, 2019, Chin J Special Educ., P72, DOI DOI 10.3969/J.ISSN.1007-3728.2019.01.012
   Guo JQ, 2020, FRONT PSYCHOL, V10, DOI 10.3389/fpsyg.2019.03081
   Guo W., 2013, Urban Probl, V1, P74
   Horton NJ, 1999, STAT METHODS MED RES, V8, P37, DOI 10.1191/096228099673120862
   Hox, 2005, METHODOLOGY, V1, P86, DOI [DOI 10.1027/1614-2241.1.3.86, 10.1027/1614-2241.1.3.86, 10.1027/1614-1881.1.1]
   Hughes JN, 2008, J EDUC PSYCHOL, V100, P1, DOI 10.1037/0022-0663.100.1.1
   Israelashvili M, 1997, J ADOLESCENCE, V20, P525, DOI 10.1006/jado.1997.0107
   Jia L, 2019, Relationship between the mental resilience of urban left-behind youth and the perception of social alienation and discrimination, P46
   Lei H, 2018, FRONT PSYCHOL, V8, DOI 10.3389/fpsyg.2017.02288
   Lei W., 2020, J Cent China Normal Univ (Humanities Social Sci Edition), V59, P160
   Li H, 2022, Educational Acad Monthly, P84
   Li W, 2018, Education Economy, P86
   [纪莉莉 Ji Lili], 2020, [中国临床心理学杂志, Chinese Journal of Clinical Psychology], V28, P1230
   Liu ZH, 2010, Res Educ Electr, P111
   Liu ZH, 2016, Chin J Special Educ., P68
   Longobardi Claudio, 2016, Front Psychol, V7, P1988, DOI 10.3389/fpsyg.2016.01988
   Malecki CK, 2003, SCHOOL PSYCHOL QUART, V18, P231, DOI 10.1521/scpq.18.3.231.22576
   Masten A.S., 1990, Development Psychopathology, V2, P425, DOI [10.1017/S0954579400005812, DOI 10.1017/S0954579400005812]
   Masten AS, 2006, ANN NY ACAD SCI, V1094, P13, DOI 10.1196/annals.1376.003
   Masten AS, 2010, DEV PSYCHOPATHOL, V22, P679, DOI 10.1017/S0954579410000362
   Ministry of Education of the People's Republic of China, Notice on printing and distributing the Three-Year Action Plan for Improving the Quality of Care Services for Rural Left-behind and Vulnerable Children
   Oberle E, 2014, CAN J SCH PSYCHOL, V29, P296, DOI 10.1177/0829573514540116
   Ortega-Ruiperez Beatriz, 2021, Risks in Adolescent Adjustment by Internet Exposure: Evidence From PISA, P12
   [任芬 Ren Fen], 2019, [中国临床心理学杂志, Chinese Journal of Clinical Psychology], V27, P973
   RUTTER M, 1985, BRIT J PSYCHIAT, V147, P598, DOI 10.1192/bjp.147.6.598
   Shoshani A, 2013, J HAPPINESS STUD, V14, P1163, DOI 10.1007/s10902-012-9374-y
   Song C., 2017, Exploratory Psychol, V37, P561
   State Council of China, OPINIONS STRENGTHENI
   Suldo SM, 2009, SCHOOL PSYCHOL REV, V38, P67
   Sun DY., 2016, Theory Pract Educ, V36, P15
   THOITS PA, 1995, J HEALTH SOC BEHAV, V35, P53, DOI 10.2307/2626957
   Thoits PA, 2011, J HEALTH SOC BEHAV, V52, P145, DOI 10.1177/0022146510395592
   Tian GX, 2007, Curriculum, Teaching Material and Method, P87
   Tong X, 2016, J Capital Normal Univ (Social Sci Edition), P148
   Wachs TD, 2006, ANN NY ACAD SCI, V1094, P28, DOI 10.1196/annals.1376.004
   Waller MA, 2001, AM J ORTHOPSYCHIAT, V71, P290, DOI 10.1037/0002-9432.71.3.290
   Wang QH, 2007, A study on the relationship between family environment and school adaptation among primary and secondary school students
   [王昕 Wang Xin], 2021, [中国临床心理学杂志, Chinese Journal of Clinical Psychology], V29, P523
   [温忠麟 Wen Zhonglin], 2004, [心理学报, Acta Psychologica Sinica], V36, P186
   [温忠麟 Wen Zhonglin], 2014, [心理科学进展, Advances in Psychological Science], V22, P731
   Wongpakaran T, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-29848-7
   Wu JJ, 2019, J Capital Normal Univ (Social Sci Edition), P178
   Xi JZ, 2015, J Capital Normal Univ (Social Sci Edition), P121
   Xi JZ, 2008, Psychol Sci, P995
   Xing Q, 2021, Educational Meas Evaluation, P47
   Xu XF., 2022, Open Educ Res, V28, P111
   Xu Z, 2021, Contemp Youth Res, P89
   Yan J., 2020, China Sport Science and Technology, V56, P11, DOI [10.16470/j.csst.2020161, DOI 10.16470/J.CSST.2020161, DOI 10.16470/J.CSST.2020161YANG]
   Yan JF., 2020, J China Agricultural Univ (Social Sci Edition), V37, P96
   Yang KC., 2020, Educ Econ, P77, DOI [10.3969/j.issn.1003-4870.2020.01.008, DOI 10.3969/J.ISSN.1003-4870.2020.01.008]
   Zhan Y, 2024, ASIA-PAC EDUC RES, V33, P671, DOI 10.1007/s40299-023-00764-8
   Zhang C, 2014, PSYCHOL HEALTH MED, V19, P656, DOI 10.1080/13548506.2013.869612
   Zhang G., 2014, Psychol Dev Educ, V30, P371, DOI DOI 10.16187/J.CNKI.ISSN1001-4918.2014.04.019
   Zhang GZ., 2017, Psychol Dev Educ, V33, P11, DOI DOI 10.16187/J.CNKI.ISSN1001-4918.2017.01.02
   Zhang XF, 2014, Chin J Special Educ., P67
   Zhang YY., 2023, Educ Econ, V39, P75
   [赵凤青 Zhao Fengqing], 2018, [心理科学进展, Advances in Psychological Science], V26, P1054
   Zhao LL., 2020, Teacher Educ Res, V32, P102
   [周浩 Zhou Hao], 2004, [心理科学进展, ADVANCES IN PSYCHOLOGICAL SCIENCE], V12, P942
   Zhu XW., 2019, Social Dev Stud, V4, P180
   Zhuang XY, 2017, INT J SOC PSYCHIATR, V63, P48, DOI 10.1177/0020764016678015
   Zou H., 2007, Psychol Dev Ed, V23, P77, DOI [10.16187/j.cnki.issn1001-4918.2007.04.006, DOI 10.16187/J.CNKI.ISSN1001-4918.2007.04.006]
NR 78
TC 0
Z9 0
U1 11
U2 11
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 FEB 10
PY 2025
VL 25
IS 1
AR 545
DI 10.1186/s12889-025-21758-9
PG 14
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health
GA W5B7H
UT WOS:001418732700018
PM 39930401
OA gold
DA 2025-04-22
ER

PT J
AU Zhou, XQ
   Ao, RJ
   Zhu, YY
   Chen, J
   Shen, X
   Aihemaitijiang, Y
AF Zhou, Xiaoqi
   Ao, Rongjun
   Zhu, Yuanyuan
   Chen, Jing
   Shen, Xue
   Aihemaitijiang, Yierfanjiang
TI Urban human settlements' resilience measurement and characteristics and
   their mechanism model in China
SO PLOS ONE
LA English
DT Article
ID AREA
AB This study introduces the principle of resilience into the study of human settlements. In this study, a comprehensive evaluation model of urban human settlements' resilience based on the provincial region of China was constructed using the Driver-Pressure-State-Impact-Response framework. The spatio-temporal evolution characteristics of urban human settlements' resilience was explored. The influencing factors were analysed by geographical detectors, and the driving mechanism was constructed. Results show that the following. (1) The resilience level of human settlements in China continued to increase, and the resilience level of each province and city changed significantly. The overall clustering effect showed a tendency to fluctuate and weaken. The distribution of cold spot areas became less and less, and the hot spots were moving from northeast China to southeast China. (2) Significant differences existed in the intensity of the impact of different indicators on the resilience system. The value of the impact factor showed an overall upward trend, and the number of key impact factors increased. (3) Improving the ability of scientific and technological innovation, accelerating the transformation and upgrading of the regional economy, increasing the training of talents and making financial inclination in scientific and technological development and industrial pollution control were all important ways for developing and maintaining the resilience of urban human settlements. This study not only introduces a new evaluation of urban human settlements from the perspective of resilience but also explores key impact indices and driving mechanisms, which provides new ideas for studying urban human settlements.
C1 [Zhou, Xiaoqi; Ao, Rongjun; Zhu, Yuanyuan; Chen, Jing; Shen, Xue; Aihemaitijiang, Yierfanjiang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Hubei, Peoples R China.
   [Zhou, Xiaoqi; Ao, Rongjun; Zhu, Yuanyuan; Chen, Jing; Shen, Xue; Aihemaitijiang, Yierfanjiang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
C3 Central China Normal University; Central China Normal University
RP Ao, RJ (corresponding author), Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Hubei, Peoples R China.; Ao, RJ (corresponding author), Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
EM aorongjun8600@163.com
RI shen, xue/KSM-0965-2024; Chen, Jing/M-1103-2019
OI Zhou, Xiaoqi/0000-0001-8814-185X
FU National Natural Science Foundation of China [42271188, 42071170,
   42207529]
FX This research was funded by National Natural Science Foundation of
   China, grant number 42271188(RA), 42071170(YZ) and 42207529(XS). All
   three played a role in the study's design. The Correspondence of this
   manuscript is Rongjun Ao. He and the author Yuanyuan Zhu defined the
   research theme and supervised the research work. The author Xue Shen
   checked the experimental results and revised the manuscript.
CR Alawneh SM, 2022, FRONT SUSTAIN CITIES, V4, DOI 10.3389/frsc.2022.806531
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   An M, 2023, J CLEAN PROD, V394, DOI 10.1016/j.jclepro.2023.136409
   An M, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109090
   Andersson E, 2022, CURR OPIN ENV SUST, V55, DOI 10.1016/j.cosust.2022.101158
   Atkins JP, 2011, MAR POLLUT BULL, V62, P215, DOI 10.1016/j.marpolbul.2010.12.012
   Chen HZ, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131377
   Chen J, 2020, RESOUR POLICY, V66, DOI 10.1016/j.resourpol.2020.101643
   Chen JS, 2023, ENVIRON SCI POLLUT R, V30, P3726, DOI 10.1007/s11356-022-22420-2
   Chen SQ, 2022, AM PSYCHOL, V77, P262, DOI 10.1037/amp0000958
   Cheng JH, 2020, J CLEAN PROD, V259, DOI 10.1016/j.jclepro.2020.120808
   Cheshmehzangi A, 2021, URBAN FOR URBAN GREE, V59, DOI 10.1016/j.ufug.2021.127028
   Cong XP, 2021, LAND-BASEL, V10, DOI 10.3390/land10090993
   Cong XP, 2021, COMPLEXITY, V2021, DOI 10.1155/2021/8876021
   DOXIADIS CA, 1975, EKISTICS, V40, P405
   Etinay N, 2018, PROCEDIA ENGINEER, V212, P575, DOI 10.1016/j.proeng.2018.01.074
   Fang CL, 2022, HUM SOC SCI COMMUN, V9, DOI 10.1057/s41599-022-01417-9
   Forzieri G, 2022, NATURE, V608, P534, DOI 10.1038/s41586-022-04959-9
   Guan YY, 2022, ENVIRON DEV SUSTAIN, V24, P4150, DOI 10.1007/s10668-021-01610-x
   Guo JH, 2022, ECON SYST, V46, DOI 10.1016/j.ecosys.2022.100982
   Hao Z, 2022, ECOL INFORM, V70, DOI 10.1016/j.ecoinf.2022.101720
   Hasan S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0179620
   Hassler U, 2014, BUILD RES INF, V42, P119, DOI 10.1080/09613218.2014.873593
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu QY, 2020, HABITAT INT, V105, DOI 10.1016/j.habitatint.2020.102278
   Ionescu L., 2021, GEOPOLIT HIST INT RE, V13, P86
   Jiaxing Z, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0256502
   Jobse R B., 1992, RANDSTAD RES POLICY, V20, P39, DOI [10.1007/978-94-017-3448-6_3, DOI 10.1007/978-94-017-3448-6_3]
   Kanwal Q, 2022, CRIT REV ENV SCI TEC, V52, P2930, DOI 10.1080/10643389.2021.1902225
   Krefis AC, 2018, URBAN SCI, V2, DOI 10.3390/urbansci2010021
   Li GD, 2019, SCI TOTAL ENVIRON, V673, P367, DOI 10.1016/j.scitotenv.2019.04.080
   Li YR, 2020, HABITAT INT, V105, DOI 10.1016/j.habitatint.2020.102241
   Liang LW, 2022, CHINESE GEOGR SCI, V32, P1, DOI 10.1007/s11769-022-1255-7
   Lin G, 2022, LAND-BASEL, V11, DOI 10.3390/land11030345
   Liu C, 2021, ENG APPL ARTIF INTEL, V102, DOI 10.1016/j.engappai.2021.104261
   Liu DD, 2022, ECOL INDIC, V139, DOI 10.1016/j.ecolind.2022.108933
   Liu LF, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109687
   Liu XL, 2021, NAT HAZARDS, V107, P2105, DOI 10.1007/s11069-020-04478-8
   Long HL, 2021, LAND-BASEL, V10, DOI 10.3390/land10090935
   Long RY, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102415
   Lu H, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103167
   Luo H, 2021, SCI TOTAL ENVIRON, V752, DOI 10.1016/j.scitotenv.2020.142284
   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
   Mena C, 2022, J BUS RES, V138, P77, DOI 10.1016/j.jbusres.2021.08.064
   Meng-Hua Chen, 2022, Ocean & Coastal Management, DOI 10.1016/j.ocecoaman.2022.106285
   Mouratidis K, 2020, TRAVEL BEHAV SOC, V21, P265, DOI 10.1016/j.tbs.2020.07.006
   Ozdemir D, 2022, TECHNOL SOC, V68, DOI 10.1016/j.techsoc.2021.101847
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   RAJALA DW, 1979, IEEE T SYST MAN CYB, V9, P403
   Rajan SI, 2021, ENVIRON URBAN ASIA, V12, P310, DOI 10.1177/09754253211040195
   SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI 10.1002/j.1538-7305.1948.tb01338.x
   Sheng JC, 2022, ENVIRON SCI POLICY, V136, P56, DOI 10.1016/j.envsci.2022.05.018
   Shi CC, 2022, J CLEAN PROD, V372, DOI 10.1016/j.jclepro.2022.133737
   Shi T, 2021, GROWTH CHANGE, V52, P2364, DOI 10.1111/grow.12554
   Syal S, 2021, J URBAN MANAG, V10, P205, DOI 10.1016/j.jum.2021.05.004
   Tang CL, 2018, J GEOGR SCI, V28, P685, DOI 10.1007/s11442-018-1499-4
   Tang LS, 2017, HABITAT INT, V70, P81, DOI 10.1016/j.habitatint.2017.10.001
   Tawsif S, 2022, CURR RES ENVIRON SUS, V4, DOI 10.1016/j.crsust.2022.100159
   Tian FH, 2020, ECOL MODEL, V437, DOI 10.1016/j.ecolmodel.2020.109310
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   Wang Q, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0147299
   Wang S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090958
   Wang X, 2022, ENVIRON SCI POLLUT R, V29, P48388, DOI 10.1007/s11356-022-18979-5
   Wang ZY, 2020, PROF GEOGR, V72, P411, DOI 10.1080/00330124.2019.1709215
   Wanke P, 2020, J ENVIRON MANAGE, V260, DOI 10.1016/j.jenvman.2020.110163
   Wu JH, 2022, OCEAN COAST MANAGE, V217, DOI 10.1016/j.ocecoaman.2021.106016
   Xiao YT, 2022, ECOL INDIC, V143, DOI 10.1016/j.ecolind.2022.109312
   Xu XY, 2021, J CLEAN PROD, V294, DOI 10.1016/j.jclepro.2021.126147
   Xue QR, 2020, THERM SCI, V24, P2543, DOI 10.2298/TSCI2004543X
   Xue QR, 2021, J CLEAN PROD, V293, DOI 10.1016/j.jclepro.2021.126272
   Yao SJ, 1999, J DEV STUD, V35, P104, DOI 10.1080/00220389908422604
   You XT, 2022, NAT HAZARDS, V113, P1751, DOI 10.1007/s11069-022-05368-x
   Zhang H, 2008, J ENVIRON MANAGE, V88, P1047, DOI 10.1016/j.jenvman.2007.05.008
   Zhang XY, 2013, J ENVIRON PLANN MAN, V56, P720, DOI 10.1080/09640568.2012.698985
   Zhang Y, 2006, ECOL MODEL, V196, P77, DOI 10.1016/j.ecolmodel.2006.02.001
   Zhao SL, 2015, TECHNOL FORECAST SOC, V94, P202, DOI 10.1016/j.techfore.2014.09.014
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
   Zhou K, 2021, J GEOGR SCI, V31, P91, DOI 10.1007/s11442-021-1834-z
NR 79
TC 5
Z9 5
U1 9
U2 53
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 AUG 7
PY 2023
VL 18
IS 8
AR e0289754
DI 10.1371/journal.pone.0289754
PG 24
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA P6IY3
UT WOS:001051704700027
PM 37549178
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Sörensen, J
   Persson, A
   Sternudd, C
   Aspegren, H
   Nilsson, J
   Nordström, J
   Jönsson, K
   Mottaghi, M
   Becker, P
   Pilesjo, P
   Larsson, R
   Berndtsson, R
   Mobini, S
AF Sorensen, Johanna
   Persson, Andreas
   Sternudd, Catharina
   Aspegren, Henrik
   Nilsson, Jerry
   Nordstrom, Jonas
   Jonsson, Karin
   Mottaghi, Misagh
   Becker, Per
   Pilesjo, Petter
   Larsson, Rolf
   Berndtsson, Ronny
   Mobini, Shifteh
TI Re-Thinking Urban Flood Management-Time for a Regime Shift
SO WATER
LA English
DT Review
DE urban flooding; resilience; climate change adaptation; blue-green urban
   solutions
ID CLIMATE-CHANGE; WATER MANAGEMENT; RISK-MANAGEMENT; RESILIENCE; DISASTER;
   SYSTEM; ADAPTATION; URBANIZATION; POLICY
AB Urban flooding is of growing concern due to increasing densification of urban areas, changes in land use, and climate change. The traditional engineering approach to flooding is designing single-purpose drainage systems, dams, and levees. These methods, however, are known to increase the long-term flood risk and harm the riverine ecosystems in urban as well as rural areas. In the present paper, we depart from resilience theory and suggest a concept to improve urban flood resilience. We identify areas where contemporary challenges call for improved collaborative urban flood management. The concept emphasizes resiliency and achieved synergy between increased capacity to handle stormwater runoff and improved experiential and functional quality of the urban environments. We identify research needs as well as experiments for improved sustainable and resilient stormwater management namely, flexibility of stormwater systems, energy use reduction, efficient land use, priority of transport and socioeconomic nexus, climate change impact, securing critical infrastructure, and resolving questions regarding responsibilities.
C1 [Sorensen, Johanna; Larsson, Rolf; Berndtsson, Ronny] Lund Univ, Water Resources Engn, SE-22100 Lund, Sweden.
   [Persson, Andreas; Pilesjo, Petter] Lund Univ, GIS Ctr Phys Geog & Ecosyst Sci, SE-22100 Lund, Sweden.
   [Sternudd, Catharina] Lund Univ, Architecture & Built Environm, SE-22100 Lund, Sweden.
   [Aspegren, Henrik; Jonsson, Karin; Mottaghi, Misagh] Lund Univ, Water & Environm Engn, SE-22100 Lund, Sweden.
   [Nilsson, Jerry] Malmo Univ, Fac Culture & Soc, SE-20506 Malmo, Sweden.
   [Nordstrom, Jonas] Lund Univ, Econ Ctr, AgriFood, SE-22007 Lund, Sweden.
   [Becker, Per] Lund Univ, Risk Management & Societal Safety, SE-22100 Lund, Sweden.
   [Berndtsson, Ronny] Lund Univ, Ctr Middle Eastern Studies, SE-22100 Lund, Sweden.
   [Mobini, Shifteh] VA Syd, SE-21120 Malmo, Sweden.
C3 Lund University; Lund University; Lund University; Lund University;
   Malmo University; Lund University; Lund University; Lund University
RP Berndtsson, R (corresponding author), Lund Univ, Water Resources Engn, SE-22100 Lund, Sweden.; Berndtsson, R (corresponding author), Lund Univ, Ctr Middle Eastern Studies, SE-22100 Lund, Sweden.
EM johanna.sorensen@tvrl.lth.se; andreas.persson@nateko.lu.se;
   catharina.sternudd@arkitektur.lth.se; Henrik.Aspegren@vasyd.se;
   jerry.nilsson@mah.se; jonas.nordstrom@agrifood.lu.se;
   karin.jonsson@chemeng.lth.se; misagh.mottaghi@chemeng.lth.se;
   per.becker@risk.lth.se; petter.pilesjo@gis.lu.se;
   rolf.larsson@tvrl.lth.se; ronny.berndtsson@tvrl.lth.se;
   Shifteh.mobini@tvrl.lth.se
RI Peters, Glen/B-1012-2008; Berndtsson, Ronny/C-7449-2015; Persson,
   Andreas/AGN-8733-2022; Sörensen, Johanna/AAG-3189-2019; Nordström,
   Jonas/AAR-6623-2020; Nordstrom, Jonas/E-7708-2015; Aspegren,
   Henrik/Q-1200-2018
OI Mottaghi, Misagh/0000-0003-0424-8655; Nordstrom,
   Jonas/0000-0001-8608-7976; Aspegren, Henrik/0000-0001-5805-1589;
   Nilsson, Jerry/0000-0003-1063-7833; Persson,
   Andreas/0000-0003-2339-9387; Pilesjo, Petter/0000-0001-7963-4548;
   Berndtsson, Ronny/0000-0003-1473-0138; Mobini,
   Shifteh/0000-0002-3365-7346; Becker, Per/0000-0001-9379-9461; Sorensen,
   Johanna Lykke/0000-0002-2312-4917
FU Swedish Research Council Formas [942-2015-149]; Sweden Water Research,
   Goteborg City; Hoje a Water Council; Skane Region; Lansforsakringar
   Skane
FX This research was funded by The Swedish Research Council Formas under
   contract 942-2015-149. Financial support was also provided by Sweden
   Water Research, Goteborg City, Hoje a Water Council, the Skane Region,
   and Lansforsakringar Skane.
CR Abdellatif M, 2014, ENVIRON TECHNOL, V35, P568, DOI 10.1080/09593330.2013.837938
   [Anonymous], 1995, SOCIAL SYSTEMS
   [Anonymous], 2012, URBAN ADAPTATION CLI
   Ashley R, 2013, P I CIVIL ENG-MUNIC, V166, P65, DOI 10.1680/muen.12.00046
   Aven T, 2009, J RISK RES, V12, P1, DOI 10.1080/13669870802488883
   Becker P., 2014, Sustainability science: Managing risk and resilience for sustainable development
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Brown RR, 2009, WATER SCI TECHNOL, V59, P839, DOI 10.2166/wst.2009.028
   Cettner A, 2012, J URBAN TECHNOL, V19, P25, DOI 10.1080/10630732.2012.673058
   Chocat B., 2004, P 5 INT C SUST TECHN
   Cohen L, 2011, AUST COMMUNITY PSYCH, V23, P7
   Construction Industry Research and Information Association, 2013, RP993 CIRIA
   Coombes P.J., 2015, SL 9 INT WAT SENS UR
   Cullberg M., 2014, Urban Challenges, Policy and Action in Gothenburg-GAPS project baseline study
   Daniell KA, 2014, J HYDROL, V519, P2415, DOI 10.1016/j.jhydrol.2014.08.058
   Diaz-Nieto J., 2008, P 11 INT C URB DRAIN
   Environment Agency, 2010, DEFR PRINC IMPL FLOO
   Evers M, 2012, NAT HAZARD EARTH SYS, V12, P2821, DOI 10.5194/nhess-12-2821-2012
   Farnaghi M, 2013, COMPUT ENVIRON URBAN, V41, P204, DOI 10.1016/j.compenvurbsys.2013.06.003
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Finotti A.R., 2014, WIT Trans. Ecol. Environ, V182, P133, DOI [10.2495/WP140121, DOI 10.2495/WP140121]
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Fryd O, 2010, URBAN WATER J, V7, P367, DOI 10.1080/1573062X.2010.527352
   Garavan TN, 2008, ADV DEV HUM RESOUR, V10, P451, DOI 10.1177/1523422308320473
   Geldof G.D., 2007, COMMUNICATION
   HILLS A., 2005, Journal of contingencies and crisis management, V13, P12, DOI DOI 10.1111/J.0966-0879.2005.00450.X
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hornborg A, 2013, RESILIENCE-ABINGDON, V1, P116, DOI 10.1080/21693293.2013.797661
   Hovik S, 2015, ENVIRON PLANN C, V33, P104, DOI 10.1068/c1230h
   Hoyer Jacqueline., 2011, WATER SENSITIVE URBA
   Japp K P., 2008, Social theories of risk and uncertainty: An introduction, P76
   Johnson C.W., 2008, P 3 IET INT C SYST S
   Jones LM, 2015, SEISMOL RES LETT, V86, P294, DOI 10.1785/0220150010
   Jongman B, 2014, NAT CLIM CHANGE, V4, P264, DOI [10.1038/NCLIMATE2124, 10.1038/nclimate2124]
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   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]
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Ligtvoet W., 2014, WORLD CITIES 2050 OU, DOI 10.13140/2.1.5071.0086
   Lubida A., 2016, T GIS IN PRESS
   Maimone M., 2008, P WATER ENV FED, V6, P899
   Maksimovic Cedoyotros., 2015, RETHINKING INFRASTRU, DOI DOI 10.1007/978-3-319-06275-4
   Mansourian A, 2006, COMPUT GEOSCI-UK, V32, P303, DOI 10.1016/j.cageo.2005.06.017
   Mansourian A, 2011, J SPAT SCI, V56, P269, DOI 10.1080/14498596.2011.623347
   Mansourian A, 2015, GEO-SPAT INF SCI, V18, P97, DOI 10.1080/10095020.2015.1065048
   Mansourian A, 2011, INT J GEOGR INF SCI, V25, P2001, DOI 10.1080/13658816.2011.567390
   Mathur Anuradha., 2009, Soak: Mumbai in an Estuary
   Minne E.A., 2011, P 2011 IEEE INT S SU, P1, DOI DOI 10.1109/ISSST.2011.5936893
   Mori K, 2015, HABITAT INT, V45, P10, DOI 10.1016/j.habitatint.2014.06.013
   Mottaghi M., 2015, J WATER MANAG RES, V71, P37
   Osberghaus D, 2010, ENVIRON PLANN C, V28, P834, DOI 10.1068/c09179j
   Payo A, 2016, J INFRASTRUCT SYST, V22, DOI 10.1061/(ASCE)IS.1943-555X.0000268
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Perrow P., 1984, NORMAL ACCIDENTS LIV
   Philip R., 2011, SWITCH TRAINING KIT
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Potz H., 2012, URBAN GREEN BLUE GRI
   Qin HP, 2013, J ENVIRON MANAGE, V129, P577, DOI 10.1016/j.jenvman.2013.08.026
   Rajabi M., 2014, SAUDE GEOSPAT, V9, P179
   Raworth K, 2012, Oxfam Great Britain, DOI [DOI 10.1080/00420980120087081, DOI 10.5822/978-1-61091-458-1]
   Remondi F, 2016, SUSTAIN CITIES SOC, V20, P210, DOI 10.1016/j.scs.2015.10.001
   Renn O, 1998, RELIAB ENG SYST SAFE, V59, P49, DOI 10.1016/S0951-8320(97)00119-1
   Renn O., 2008, RISK GOVERNANCE COPI
   RIBA Building Futures and ICE, 2009, FAC RIS SEA LEV
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Shuster W.D., 2005, Urban Water Journal, V2, P263, DOI [10.1080/15730620500386529, DOI 10.1080/15730620500386529]
   Slovic P., 1982, RISK ANAL, V2, P83, DOI [DOI 10.1111/J.1539-6924.1982.TB01369.X, 10.1111/j.1539-6924.1982.tb01369.x]
   Smits AJM, 2006, HYDROBIOLOGIA, V565, P339, DOI 10.1007/s10750-005-1924-4
   Sorensen J., 2015, ACH BLUE GREEN DREAM
   Stahle A., 2008, COMPACT SPRAWL EXPLO
   Stahre P., 2008, BLUE GREEN FINGERPRI
   Stovin VR, 2013, WATER ENVIRON J, V27, P216, DOI 10.1111/j.1747-6593.2012.00353.x
   Swedish Civil Contingencies Agency (MSB), 2013, PLUV FLOOD
   Talen E., 2009, PROGR PLANNING, V71, P153
   Thaler T, 2014, AREA, V46, P418, DOI 10.1111/area.12135
   Thompson S, 2014, J OCCUP SCI, V21, P25, DOI 10.1080/14427591.2013.867562
   United Nations, 2014, WORLD URB PROSP REV
   van Buuren A, 2013, J EUR ENVIRON PLAN L, V10, P29, DOI 10.1163/18760104-01001003
   Van Leeuwen C.J., 2015, ENV DEV SUSTAIN, P1
   Vanaskie M.J., 2012, P WATER ENV FED, V5, P952
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Willems P, 2012, IMPACTS OF CLIMATE CHANGE ON RAINFALL EXTREMES AND URBAN DRAINAGE SYSTEMS, P1
   Wolthusen S.D., 2005, P 2005 1 IEEE INT WO
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
   Zinn JensO., 2008, SOCIAL THEORIES RISK, P1, DOI DOI 10.1002/9781444301489.CH1
NR 85
TC 107
Z9 112
U1 10
U2 169
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD AUG
PY 2016
VL 8
IS 8
AR 332
DI 10.3390/w8080332
PG 15
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA DS4QG
UT WOS:000380765200021
OA gold, Green Submitted, Green Published
DA 2025-04-22
ER

PT J
AU Attwater, R
   Derry, C
AF Attwater, Roger
   Derry, Chris
TI Achieving Resilience through Water Recycling in Peri-Urban Agriculture
SO WATER
LA English
DT Review
DE resilience; water recycling; peri-urban agriculture; water cycle
   management
ID MANAGEMENT
AB Pressures on urban, peri-urban and rural water and agricultural systems are increasingly complex with multiple interacting stresses and impacts. As a way of addressing these issues there has been increasing consideration as to how to build and manage resilience in these complex social-ecological systems. This paper presents a case study of the role of water recycling for agricultural use within the context of the peri-urban water cycle in Western Sydney, Australia. Building upon a description of the water cycle associated with water reclaimed from urban wastewater and stormwater harvesting; aspects which enhance resilience are identified and discussed. These include water resource security, avoidance of wastewater discharges to receiving waters, enhanced processes of landscape ecology, provision of ecosystem services, environmental risk management, local agricultural products and services, social values, livelihood opportunity, and the industrial ecology of recycled organics.
C1 [Attwater, Roger] Univ Western Sydney, Capital Works & Facil, Penrith, NSW 2751, Australia.
   [Derry, Chris] Univ Western Sydney, Sch Sci & Hlth, Penrith, NSW 2751, Australia.
C3 Western Sydney University; Western Sydney University
RP Attwater, R (corresponding author), Univ Western Sydney, Capital Works & Facil, Penrith, NSW 2751, Australia.
EM r.attwater@westernsydney.edu.au; c.derry@westernsydney.edu.au
CR Attwater R, 2007, SYST RES BEHAV SCI, V24, P249, DOI 10.1002/sres.815
   Attwater R, 2016, AGR WATER MANAGE, V176, P266, DOI 10.1016/j.agwat.2016.05.025
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Bunch MJ, 2011, ECOL SOC, V16
   Derry C, 2014, SCI TOTAL ENVIRON, V468, P63, DOI 10.1016/j.scitotenv.2013.07.096
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Merson J, 2010, INT J AGR SUSTAIN, V8, P72, DOI 10.3763/ijas.2009.0464
   Padgham J, 2015, URBAN CLIM, V12, P183, DOI 10.1016/j.uclim.2015.04.003
   Rockström J, 2003, PHYS CHEM EARTH, V28, P869, DOI 10.1016/j.pce.2003.08.009
   Walker B., 2012, RESILIENCE PRACTICE
NR 10
TC 12
Z9 16
U1 1
U2 81
PU MDPI AG
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2073-4441
J9 WATER-SUI
JI Water
PD MAR
PY 2017
VL 9
IS 3
AR 223
DI 10.3390/w9030223
PG 5
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA ER3TI
UT WOS:000398721300073
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Sun, HF
   Mao, WX
   Luo, D
AF Sun, Huifang
   Mao, Wenxin
   Luo, Dang
TI Paving the path to urban flood resilience by overcoming barriers: A
   novel grey structure analysis approach
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban flood resilience; Urban flood management; Barrier analysis; Grey
   system; DEMATEL-ISM
ID KNOWLEDGE INTEGRATION; MANAGEMENT; SYSTEMS; CHALLENGES; LESSONS; CITIES;
   MODEL; RISK
AB Urban flood resilience is essential to address increasingly flood risks through dynamic adjustments and proactive adaptations. However, the enhancement of urban flood resilience is challenged by various institutional, socioeconomic, technological and environmental barriers, particularly given the long-term, multi-stakeholder, and multi-resource nature of the problem. These barriers are interconnected and influence each other, requiring a systematic approach to understand them rather than addressing them piecemeal. This paper introduces a novel grey structure analysis approach based on grey possibility DEMATEL-ISM to identify the causal relationships and hierarchical structure among barriers. The goal is to systematically explore the best strategies and timing for overcoming these barriers. The findings indicate that institutional barriers, such as policy deficiencies and weak regulatory enforcement, are foundational challenges that must be addressed in the short term. Prioritizing institutional and technological barriers can mitigate the impact of surface-level barriers related to the natural environment and emergency response. Moreover, stakeholders underestimate the roles of public participation and natural environment barriers in urban flood resilience strategies. This highlights the need for a more balanced consideration of these barriers in long-term resilience planning to reduce the vulnerabilities of the public and marginalized groups and enhance ecosystem-based urban resistance and recovery capabilities. The urban heterogeneity of flood resilience barriers indicates cities in developing countries face policy gaps, limited technology, and resource constraints, while developed countries struggle with policy misalignment, underutilized technology, and bureaucratic inefficiencies in emergency management.
C1 [Sun, Huifang] Henan Univ, Sch Civil Engn & Architecture, Kaifeng 475004, Peoples R China.
   [Mao, Wenxin] Henan Univ, Business Sch, Kaifeng 475004, Peoples R China.
   [Luo, Dang] North China Univ Water Resources & Elect Power, Sch Math & Stat, Zhengzhou 450046, Peoples R China.
C3 Henan University; Henan University; North China University of Water
   Resources & Electric Power
RP Mao, WX (corresponding author), Henan Univ, Business Sch, Kaifeng 475004, Peoples R China.
EM maowenxin@henu.edu.cn
RI sun, huifang/JCE-5698-2023
FU National Natural Science Fund of China [72304087, 51979106]; Science and
   Technology Research Project of Henan Province [232102321003]; Philosophy
   and Social Science Planning Project of Henan Province [2023CSH028];
   Humanity and Social Science Youth foundation of Ministry of Education
   [24YJC630184]; General Project of China Postdoctoral Science Foundation
   [2023M730948, 2024M750788]; Special Project of China Postdoctoral
   Science Foundation [2024T170227]
FX This paper is supported by National Natural Science Fund of China
   (72304087; 51979106) , Science and Technology Research Project of Henan
   Province (232102321003) , Philosophy and Social Science Planning Project
   of Henan Province (2023CSH028) , Humanity and Social Science Youth
   foundation of Ministry of Education (24YJC630184) , General Project of
   China Postdoctoral Science Foundation (2023M730948; 2024M750788) , and
   Special Project of China Postdoctoral Science Foundation (2024T170227) .
CR Abdulkareem M, 2018, INT J DISAST RISK RE, V28, P176, DOI 10.1016/j.ijdrr.2018.02.009
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   Anvarifar F., 2017, Towards flexibility in the design and management of multifunctional flood defences
   Ao YB, 2020, NAT HAZARDS, V104, P2591, DOI 10.1007/s11069-020-04286-0
   Arinabo D, 2022, ENVIRON SCI POLICY, V137, P239, DOI 10.1016/j.envsci.2022.09.001
   Asiedu J.B., 2020, Theoretical and Empirical Researches in Urban Management, V15, P24
   Atanga RA, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101358
   Bai CG, 2020, RESOUR CONSERV RECY, V158, DOI 10.1016/j.resconrec.2020.104756
   Bakhtiari V, 2024, EXPERT SYST APPL, V236, DOI 10.1016/j.eswa.2023.121426
   Berndtsson R, 2019, J ENVIRON MANAGE, V240, P47, DOI 10.1016/j.jenvman.2019.03.094
   Bolognesi T, 2021, POLICY SCI, V54, P911, DOI 10.1007/s11077-021-09443-1
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Chan FKS, 2021, ENVIRON SCI POLICY, V122, P101, DOI 10.1016/j.envsci.2021.04.009
   Chang SE, 2014, RISK ANAL, V34, P416, DOI 10.1111/risa.12133
   Chen Q, 2022, IEEE T FUZZY SYST, V30, P1328, DOI 10.1109/TFUZZ.2021.3058020
   Chen XS, 2023, ENVIRON SCI POLLUT R, V30, P65455, DOI 10.1007/s11356-023-26861-1
   Cimellaro GP, 2016, GEOTECH GEOL EARTHQ, V41, P1, DOI 10.1007/978-3-319-30656-8
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   D'Ambrosio R, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104856
   Dabrowska J, 2023, J ENVIRON MANAGE, V345, DOI 10.1016/j.jenvman.2023.118557
   Ebekozien A, 2024, INT J CONSTR MANAG, V24, P683, DOI 10.1080/15623599.2023.2203501
   Echendu AJ, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12693
   Eneh N. E., 2024, World Journal of Advanced Research and Reviews, V21, P1909
   Forrest SA, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102843
   Francesch-Huidobro M, 2017, PROG PLANN, V114, P1, DOI 10.1016/j.progress.2015.11.001
   Ghasemzadeh B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147852
   Gholamizadeh K., 2022, Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis, P91, DOI [10.1007/978-3-030-93352-45, DOI 10.1007/978-3-030-93352-45]
   Ghosh P, 2024, WATER RESOUR MANAG, V38, P1847, DOI 10.1007/s11269-024-03757-4
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Haghbin S, 2023, J ENVIRON MANAGE, V339, DOI 10.1016/j.jenvman.2023.117799
   Hamilton K, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101561
   Hartmann T, 2014, J ENVIRON LAW, V26, P243, DOI 10.1093/jel/equ015
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Islam R., 2016, International Review of Management and Marketing, V6, P29
   Ji J, 2023, J CLEAN PROD, V425, DOI 10.1016/j.jclepro.2023.138955
   Khan MI, 2023, INT J BUILD PATHOL, V41, P422, DOI 10.1108/IJBPA-02-2021-0027
   Ku CA, 2024, CITIES, V150, DOI 10.1016/j.cities.2024.104989
   Kuang D, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.111025
   La Loggia G, 2020, WATER RESOUR MANAG, V34, P3411, DOI 10.1007/s11269-020-02620-6
   Laidlaw S, 2024, NAT HAZARDS, V120, P10773, DOI 10.1007/s11069-024-06627-9
   Lee H., 2023, longer report
   Li L, 2020, URBAN FOR URBAN GREE, V54, DOI 10.1016/j.ufug.2020.126770
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Lin AQ, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101682
   Lin JY, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104891
   Liu DL, 2024, INT J DISAST RISK RE, V102, DOI 10.1016/j.ijdrr.2024.104294
   Liu S., 2017, Grey data analysis
   Mao WX, 2019, J INTELL FUZZY SYST, V37, P5307, DOI 10.3233/JIFS-190463
   Mao WX, 2017, GREY SYST, V7, P97, DOI 10.1108/GS-10-2016-0036
   McClymont K, 2019, J ENVIRON PLANN MAN, DOI 10.1080/09640568.2019.1641474
   Mees H, 2016, ECOL SOC, V21, DOI 10.5751/ES-08500-210307
   Miksa K, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104924
   Moulds S, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR029024
   Nazemi AR, 2024, SUSTAIN CITIES SOC, V106, DOI 10.1016/j.scs.2024.105328
   Oh WS, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0253395
   Orimoloye IR, 2021, ENVIRON SCI POLLUT R, V28, P4289, DOI 10.1007/s11356-020-10791-3
   Ortega AD, 2023, INT J DISAST RISK RE, V88, DOI 10.1016/j.ijdrr.2023.103621
   Parker DJ, 2012, WATER RESOUR MANAG, V26, P2927, DOI 10.1007/s11269-012-0057-6
   Plough A, 2013, AM J PUBLIC HEALTH, V103, P1190, DOI 10.2105/AJPH.2013.301268
   Poku-Boansi M, 2020, CITY ENVIRON INTERAC, V5, DOI 10.1016/j.cacint.2020.100038
   Potter K, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0206
   Prashar N, 2023, PROG DISASTER SCI, V20, DOI 10.1016/j.pdisas.2023.100299
   Ramsey MM, 2019, ENVIRON SCI POLICY, V99, P48, DOI 10.1016/j.envsci.2019.04.013
   Rana IA, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100893
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Ro B, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103474
   Rodríguez-Espíndola O, 2018, EUR J OPER RES, V264, P978, DOI 10.1016/j.ejor.2017.01.021
   Rojas O, 2022, HABITAT INT, V123, DOI 10.1016/j.habitatint.2022.102554
   Roldán-Valcarce A, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103894
   Rözer V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/aca8bc
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Ryan B, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101655
   Sarkissian RD, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22186957
   Sarma J., 2021, Handbook of Ecological and Ecosystem Engineering, P201
   Selerio EF, 2021, URBAN WATER J, V18, P12, DOI 10.1080/1573062X.2020.1846064
   Sen MK, 2021, INT J DISASTER RESIL, V12, P555, DOI 10.1108/IJDRBE-08-2020-0089
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Sharma J, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab24ed
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Shoyama K, 2021, SCI TOTAL ENVIRON, V767, DOI 10.1016/j.scitotenv.2020.144371
   Solecki W, 2024, NAT CLIM CHANGE, V14, P685, DOI 10.1038/s41558-024-02060-9
   Sun HF, 2022, COMPUT IND ENG, V164, DOI 10.1016/j.cie.2021.107833
   Tempels B., 2016, Flood resilience: A co-evolutionary approach: Residents, spatial developments and flood risk management in the dender basin
   Thorne CR, 2018, J FLOOD RISK MANAG, V11, pS960, DOI 10.1111/jfr3.12218
   Torkayesh AE, 2024, EUR J OPER RES, V316, P1012, DOI 10.1016/j.ejor.2024.02.039
   Vamvakeridou-Lyroudia LS, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.136078
   Veiga MM, 2021, WATER SUPPLY, V21, P1506, DOI 10.2166/ws.2021.024
   Venkataramanan V, 2020, SCI TOTAL ENVIRON, V720, DOI 10.1016/j.scitotenv.2020.137606
   Vitale C, 2023, J ENVIRON PLANN MAN, V66, P813, DOI 10.1080/09640568.2021.2006156
   Wang LH, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e11763
   Wang LL, 2018, SAFETY SCI, V103, P51, DOI 10.1016/j.ssci.2017.11.007
   Wang P, 2021, NAT HAZARDS, V109, P2575, DOI 10.1007/s11069-021-04933-0
   White I, 2018, J FLOOD RISK MANAG, V11, pS468, DOI 10.1111/jfr3.12239
   Wu MM, 2021, J HYDROL, V599, DOI 10.1016/j.jhydrol.2021.126393
   Xue PY, 2024, INT J DISAST RISK RE, V100, DOI 10.1016/j.ijdrr.2023.104217
   Yereseme AK, 2022, SUST WAT RESOUR MAN, V8, DOI 10.1007/s40899-022-00666-5
   Yong XK, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104368
   Yu SY, 2023, HABITAT INT, V136, DOI 10.1016/j.habitatint.2023.102783
   Zakaria NH, 2018, J INF COMMUN TECHNOL, V17, P393
   Zevenbergen C, 2008, J FLOOD RISK MANAG, V1, P81, DOI 10.1111/j.1753-318X.2008.00010.x
   Zevenbergen C, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0212
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang LX, 2016, LANDSCAPE URBAN PLAN, V155, P11, DOI 10.1016/j.landurbplan.2016.06.015
   Zheng Q, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104138
   Zheng ZP, 2013, NAT HAZARDS, V65, P1009, DOI 10.1007/s11069-012-0397-9
   Zhou YH, 2024, SUSTAIN CITIES SOC, V108, DOI 10.1016/j.scs.2024.105512
   Zhou ZZ, 2017, NAT HAZARDS REV, V18, DOI 10.1061/(ASCE)NH.1527-6996.0000213
   Zhu SY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109959
NR 112
TC 0
Z9 0
U1 10
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 MAR 1
PY 2025
VL 121
AR 106187
DI 10.1016/j.scs.2025.106187
EA FEB 2025
PG 21
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 X1E4P
UT WOS:001422865800001
DA 2025-04-22
ER

PT J
AU Olsson, EGA
   Kerselaers, E
   Kristensen, LS
   Primdahl, J
   Rogge, E
   Wästfelt, A
AF Olsson, E. Gunilla A.
   Kerselaers, Eva
   Kristensen, Lone Soderkvist
   Primdahl, Jorgen
   Rogge, Elke
   Wastfelt, Anders
TI Peri-Urban Food Production and Its Relation to Urban Resilience
SO SUSTAINABILITY
LA English
DT Article
DE peri-urban agriculture; multifunctionality; urban food security; urban
   resilience; food policy; governance
ID LAND-USE; AGRICULTURAL LAND; WORLD; BIODIVERSITY; SECURITY; SYSTEMS;
   MULTIFUNCTIONALITY; OPPORTUNITIES; VULNERABILITY; CONSERVATION
AB Food production on the urban-rural fringe is under pressure due to competing land uses. We discuss the potential to improve resilience for urban-rural regions by enhancing food production as part of multifunctional land use. Through studies of peri-urban land in the regions of Gothenburg (Sweden), Copenhagen (Denmark) and Gent (Belgium), recent developments are analysed. Arable farming has been declining since 2000 in all three areas due to urban expansion and recreational land use changes. In city plans, networks of protected areas and green spaces and their importance for human wellbeing have been acknowledged. Policies for farmland preservation in peri-urban settings exist, but strategies for local food production are not expressed in present planning documents. Among the diversity of peri-urban agricultural activities, peri-urban food production is a developing issue. However, the competing forms of land use and the continuing high dependence of urban food on global food systems and related resource flows reduces peri-urban food production and improvements in urban food security. The positive effects of local food production need to be supported by governance aiming to improve the urban-rural relationship. The paper discusses the resilience potential of connecting urban-rural regions and re-coupling agriculture to regional food production.
C1 [Olsson, E. Gunilla A.] Univ Gothenburg, Sch Global Studies, Box 700, S-40530 Gothenburg, Sweden.
   [Kerselaers, Eva; Rogge, Elke] Inst Agr & Fisheries Res ILVO, Social Sci Unit, Burg Van Gansberghelaan 115,Box 2, B-9820 Merelbeke, Belgium.
   [Kristensen, Lone Soderkvist; Primdahl, Jorgen] Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark.
   [Wastfelt, Anders] Stockholm Univ, Dept Human Geog, S-10691 Stockholm, Sweden.
C3 University of Gothenburg; Institute For Agricultural & Fisheries
   Research; University of Copenhagen; Stockholm University
RP Olsson, EGA (corresponding author), Univ Gothenburg, Sch Global Studies, Box 700, S-40530 Gothenburg, Sweden.
EM gunilla.olsson@globalstudies.gu.se; eva.kerselaers@ilvo.vlaanderen.be;
   lokr@ign.ku.dk; jpr@ign.ku.dk; Elke.Rogge@ilvo.vlaanderen.be;
   anders.wastfelt@humangeo.su.se
RI Olsson, Gunilla/AAD-2918-2022; Kristensen, Lone/IQS-9207-2023
OI Wastfelt, Anders/0000-0001-5598-7410; Primdahl,
   Jorgen/0000-0002-5628-655X; Kristensen, Lone
   Soderkvist/0000-0002-3524-2240
FU Formas, Sweden; University of Gent; ILVO, Belgium
FX This work was partly conducted as part of the RETHINK project, which is
   an EU research project under the umbrella of FP7 and the RURAGRI
   ERA-NET. National funding was provided from Formas, Sweden, and the
   University of Gent and ILVO, Belgium. We thank Stuart Wright for
   correcting the English language. All are gratefully acknowledged.
CR Anderson B, 2015, POLITICS-OXFORD, V35, P60, DOI 10.1111/1467-9256.12079
   [Anonymous], 2009, REGIONAL PLANNING OP, DOI DOI 10.4324/9780203359389
   [Anonymous], DIG LAYER MUN BORD F
   [Anonymous], 2 INT C AGR URB SOC
   [Anonymous], FLEM LAND PARC ID SY
   [Anonymous], 2011, Peri-Urbanisation in Europe
   [Anonymous], 2008, An introduction to the basic concepts of food security
   [Anonymous], 2012, RESILIENCE CULTURAL
   [Anonymous], STADSODLING ELLER 3D
   [Anonymous], KUNGL SKOGS OCH LANT
   [Anonymous], 2014, SCHAALGROOTTE SCHAAL
   [Anonymous], DIG LAYER LAND ALL P
   [Anonymous], THESIS
   [Anonymous], 20154 MISTR URB FUT
   [Anonymous], CENS DAT NAT I STAT
   [Anonymous], RETHINK CASE STUDY P
   [Anonymous], THESIS
   [Anonymous], THESIS
   [Anonymous], BYNAERE LANDBRUGSOMR
   [Anonymous], 200610 EEA
   [Anonymous], 20163 MISTR URB FUT
   [Anonymous], BYNAERE LANDBRUGSOMR
   [Anonymous], THESIS
   [Anonymous], FORSKNINGSSERIEN FOR
   [Anonymous], RETHINK CASE STUDY N
   Beauchesne A, 1999, TIJDSCHR ECON SOC GE, V90, P320, DOI 10.1111/1467-9663.00073
   Berti G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070616
   Björklund J, 2012, J SUSTAIN AGR, V36, P824, DOI 10.1080/10440046.2012.705813
   Busck A. G., 2006, Geografisk Tidsskrift-Danish Journal of Geography, V106, P21, DOI [10.1080/00167223.2006.10649554, DOI 10.1080/00167223.2006.10649554]
   Carrus G, 2015, LANDSCAPE URBAN PLAN, V134, P221, DOI 10.1016/j.landurbplan.2014.10.022
   Chappell MJ, 2011, AGR HUM VALUES, V28, P3, DOI 10.1007/s10460-009-9251-4
   Clark NE, 2014, TRENDS ECOL EVOL, V29, P198, DOI 10.1016/j.tree.2014.01.009
   Colasanti KJA, 2010, J AGRIC FOOD SYST CO, V1, P41, DOI 10.5304/jafscd.2010.012.002
   Cordell D, 2015, FOOD SECUR, V7, P337, DOI 10.1007/s12571-015-0442-0
   Darnhofer I., 2014, ANALYTICAL FRAMEWORK
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Galler C, 2015, J ENVIRON MANAGE, V151, P243, DOI 10.1016/j.jenvman.2014.12.011
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Galt RE, 2013, GEOGR COMPASS, V7, P637, DOI 10.1111/gec3.12070
   Grandgirard D., 2008, JRC SCI TECHNICAL RE
   Hardman M, 2014, LAND USE POLICY, V39, P400, DOI 10.1016/j.landusepol.2014.02.022
   Kirwan J, 2013, J RURAL STUD, V29, P91, DOI 10.1016/j.jrurstud.2012.03.002
   Malano H, 2014, WATER SCI TECHNOL LI, V71, P3, DOI 10.1007/978-94-017-8878-6_1
   Marques-Perez I, 2014, SPAN J AGRIC RES, V12, P889, DOI 10.5424/sjar/2014124-6061
   Marsden T, 2013, SUSTAIN SCI, V8, P213, DOI 10.1007/s11625-012-0186-0
   Mayer H, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080745
   McClintock N, 2013, LANDSCAPE URBAN PLAN, V111, P46, DOI 10.1016/j.landurbplan.2012.12.009
   McMichael P, 2011, GLOBAL ENVIRON CHANG, V21, P804, DOI 10.1016/j.gloenvcha.2011.03.016
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Morgan K, 2015, URBAN STUD, V52, P1379, DOI 10.1177/0042098014534902
   Opitz I, 2016, AGR HUM VALUES, V33, P341, DOI 10.1007/s10460-015-9610-2
   Paül V, 2013, LAND USE POLICY, V30, P94, DOI 10.1016/j.landusepol.2012.02.009
   Perrin C, 2013, INT PLAN STUD, V18, P21, DOI 10.1080/13563475.2013.750943
   Pinto-Correia T, 2013, LANDSCAPE URBAN PLAN, V120, P248, DOI 10.1016/j.landurbplan.2013.07.005
   Porter JR, 2014, GLOB FOOD SECUR-AGR, V3, P1, DOI 10.1016/j.gfs.2013.09.001
   Rogge E, 2016, RES RURAL SOCIOL DEV, V23, P161, DOI 10.1108/S1057-192220160000023008
   Rundlöf M, 2008, BIOL CONSERV, V141, P417, DOI 10.1016/j.biocon.2007.10.011
   Sasu-Boakye Y, 2014, ANIMAL, V8, P1339, DOI 10.1017/S1751731114001293
   Scott M, 2013, GEOGR COMPASS, V7, P597, DOI 10.1111/gec3.12066
   Seitzinger SP, 2012, AMBIO, V41, P787, DOI 10.1007/s13280-012-0353-7
   Selman P., 2009, Sustainability: Science, Practice & Policy, V5, P45
   Steffen W, 2011, AMBIO, V40, P739, DOI 10.1007/s13280-011-0185-x
   UN, 2014, WORLD URB PROSP 2014
   van Vliet J, 2015, LANDSCAPE URBAN PLAN, V133, P24, DOI 10.1016/j.landurbplan.2014.09.001
   Verhoeve A, 2015, LAND USE POLICY, V42, P547, DOI 10.1016/j.landusepol.2014.09.008
   Walker B., 2004, Ecology and Society, V9, P5
   Wästfelt A, 2016, J RURAL STUD, V47, P172, DOI 10.1016/j.jrurstud.2016.07.013
   Wilson GA, 2008, J RURAL STUD, V24, P367, DOI 10.1016/j.jrurstud.2007.12.010
   Zasada I, 2013, J LAND USE SCI, V8, P199, DOI 10.1080/1747423X.2011.628706
   Zasada I, 2011, LAND USE POLICY, V28, P639, DOI 10.1016/j.landusepol.2011.01.008
   Zasada I, 2011, GEOGR TIDSSKR-DEN, V111, P59, DOI 10.1080/00167223.2011.10669522
NR 72
TC 71
Z9 75
U1 11
U2 155
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2016
VL 8
IS 12
AR 1340
DI 10.3390/su8121340
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 EJ6FR
UT WOS:000393315100063
OA Green Submitted, Green Published, gold
DA 2025-04-22
ER

PT J
AU Ni, LL
   Li, JL
   Namaiti, A
AF Ni, Lili
   Li, Jinglun
   Namaiti, Aihemaiti
TI Classification and Planning Strategies of Multidimensional Resilience
   Units for Urban Waterlogging: A Case Study of the Old City District in
   Shijiazhuang, China
SO SUSTAINABILITY
LA English
DT Article
DE rainstorm waterlogging; the old city; waterlogging resilience; cluster
   analysis; K-Means plus plus; planning strategy
ID VULNERABILITY; LESSONS; SYSTEMS
AB The frequency of urban disasters such as waterlogging has markedly increased, highlighting the urgent need to strengthen urban disaster prevention capabilities and resilience. This research, anchored in the resilience characteristics of robustness, redundancy, resource deploy ability, and rapid response, devised a resilience clustering factor system specifically designed for older urban districts. The old city district of Shijiazhuang, China, was selected as the empirical case study area. This research employs the K-Means++ clustering method to analyze the region's resilience units against waterlogging. Furthermore, it utilizes the method of pedigree classification to categorize the identified ten types of resilience. Secondly, these were subsequently divided into three primary categories based on a spectrum of strengths and weaknesses within each unit: dominant, mixed, and disadvantaged clustering. This categorization unveiled the unique resilience distribution patterns within the area. The findings of this study reveal a pronounced differentiation in resilience types among the units in Shijiazhuang's old city district. This spatial analysis highlighted a significant heterogeneity, with a tendency towards cluster formation. The spatial distribution of different resilience unit types was found to be uneven, leading to the emergence of clustered, patch-like, and zonal agglomerations. Combined with the unit clustering classification and the mean clustering performance of each factor, the response unit of waterlogging control resilience planning is determined for the study area, and the strategy of resilience waterlogging control and linkage is proposed. By mapping the spectrum of rainwater resilience types across the studied area, this research broadens the scope of resilience evaluation from a traditional vertical-level assessment to a more comprehensive horizontal typological analysis, offering empirical, theoretical insights for future resilience-building endeavors in older urban districts.
C1 [Ni, Lili; Li, Jinglun] Hebei Univ Technol, Sch Architecture & Art Design, Tianjin 300130, Peoples R China.
   [Ni, Lili; Li, Jinglun] Hebei Univ Technol, Urban Rural Renewal & Architectural Heritage Prote, Tianjin 300130, Peoples R China.
   [Namaiti, Aihemaiti] Tianjin Univ, Sch Architecture, Tianjin 300072, Peoples R China.
C3 Hebei University of Technology; Hebei University of Technology; Tianjin
   University
RP Namaiti, A (corresponding author), Tianjin Univ, Sch Architecture, Tianjin 300072, Peoples R China.
EM 2016022@hebut.edu.cn; 202122302004@stu.hebut.edu.cn; ahmat@tju.edu.cn
RI Li, Jinglun/ABB-2152-2021; Namaiti, Aihemaiti/HTP-6877-2023
OI Ni, Lili/0009-0007-2628-6026; Namaiti, Aihemaiti/0000-0001-8701-4808
FU Humanities and Social Science Research Project of Hebei Education
   Department
FX The authors would like to thank the reviewers for their expertise and
   valuable input.
CR Ambroise C, 1998, PATTERN RECOGN LETT, V19, P919, DOI 10.1016/S0167-8655(98)00076-2
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Ay M, 2023, EXPERT SYST APPL, V211, DOI 10.1016/j.eswa.2022.118656
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cao FF, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110643
   [陈长坤 Chen Changkun], 2018, [中国安全科学学报, China Safety Science Journal（CSSJ）], V28, P1
   Cui P, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070901
   Folke C, 1996, ECOL APPL, V6, P1018, DOI 10.2307/2269584
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Guerrero-Hidalga M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124807
   Guo Yongkun, 2020, Computer Engineering and Applications, V56, P172, DOI 10.3778/j.issn.1002-8331.1910-0220
   Guptha GC, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101075
   Hettiarachchi S, 2022, CITIES, V128, DOI 10.1016/j.cities.2022.103789
   Hu HZ, 2023, PATTERN RECOGN, V139, DOI 10.1016/j.patcog.2023.109404
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huang J, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152015095
   Jia W, 2023, FRONT ARCHIT RES, V12, P664, DOI 10.1016/j.foar.2023.04.002
   Lee EH, 2017, WATER-SUI, V9, DOI 10.3390/w9060428
   Lee H, 2021, LANDSC ECOL ENG, V17, P427, DOI 10.1007/s11355-021-00458-7
   Li DZ, 2022, ENVIRON SCI POLLUT R, V29, P46306, DOI 10.1007/s11356-022-19142-w
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li HW, 2021, NAT HAZARDS, V108, P1001, DOI 10.1007/s11069-021-04717-6
   Li Zhengzhao, 2022, Journal of Tsinghua University (Science and Technology), V62, P266, DOI 10.16511/j.cnki.qhdxxb.2021.22.037
   Liao G., 2015, Urban Plan. Int, V2, P36
   Ma Bing, 2023, Procedia Computer Science, P113, DOI 10.1016/j.procs.2023.07.017
   Ma F, 2023, TRANSPORT RES D-TR E, V123, DOI 10.1016/j.trd.2023.103928
   Mugume S.N., 2015, Ph.D. Thesis
   Mugume SN, 2017, URBAN WATER J, V14, P727, DOI 10.1080/1573062X.2016.1253754
   Nahiduzzaman KM, 2015, HABITAT INT, V49, P375, DOI 10.1016/j.habitatint.2015.05.034
   Pan L, 2021, INT J APPL EARTH OBS, V102, DOI 10.1016/j.jag.2021.102376
   Park K, 2021, ENVIRON ENG RES, V26, DOI 10.4491/eer.2019.529
   Ro B, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103474
   Rözer V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/aca8bc
   Serre D, 2018, J FLOOD RISK MANAG, V11, pS69, DOI 10.1111/jfr3.12253
   Sharifi A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155918
   Sharifi A, 2018, LECT N ENERG, V65, P167, DOI 10.1007/978-3-319-75798-8_9
   Silva MM, 2018, WATER-SUI, V10, DOI 10.3390/w10020180
   Silva MM, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050816
   Silva MM, 2016, WATER-SUI, V8, DOI 10.3390/w8070284
   Sinaga KP, 2020, IEEE ACCESS, V8, P80716, DOI 10.1109/ACCESS.2020.2988796
   Wang B, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12070962
   Wang Q., 2022, Urban Problems, P4
   Wang X, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103828
   Wu JH, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130230
   Xia HS, 2022, SUSTAIN CITIES SOC, V84, DOI 10.1016/j.scs.2022.104009
   Xiao S, 2023, SCI TOTAL ENVIRON, V866, DOI 10.1016/j.scitotenv.2022.161321
   Xu H.J., 2021, Water Resour. Plan. Des, V97, P44
   Xu T, 2023, WATER SCI TECHNOL, V87, P2820, DOI 10.2166/wst.2023.149
   [徐宗学 Xu Zongxue], 2020, [水科学进展, Advances in Water Science], V31, P713
   Yang SY, 2023, J HYDROL-REG STUD, V48, DOI 10.1016/j.ejrh.2023.101452
   Yong Park Ki, 2019, [Journal of The Korean Society of Hazard Mitigation, 한국방재학회논문집], V19, P47, DOI 10.9798/KOSHAM.2019.19.3.47
   Yu BL, 2014, INT J GEOGR INF SCI, V28, P2328, DOI 10.1080/13658816.2014.922186
   Zhang H, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14092010
   Zhang JX, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11050285
   Zhang JP, 2023, J WATER CLIM CHANGE, V14, P3417, DOI 10.2166/wcc.2023.076
   Zhang M, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182312342
   Zhang XW, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2022.101402
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhou Y, 2023, ENVIRON DEV, V45, DOI 10.1016/j.envdev.2023.100815
   Zuniga-Teran AA, 2020, CURR OPIN ENV SUST, V44, P42, DOI 10.1016/j.cosust.2020.05.001
NR 62
TC 3
Z9 3
U1 13
U2 27
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 2717
DI 10.3390/su16072717
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 NM4V8
UT WOS:001200866300001
OA gold
DA 2025-04-22
ER

PT J
AU Qi, XY
   Mei, G
   Piccialli, F
AF Qi, Xiaoyu
   Mei, Gang
   Piccialli, Francesco
TI Resilience Evaluation of Urban Bus-Subway Traffic Networks for Potential
   Applications in IoT-Based Smart Transportation
SO IEEE SENSORS JOURNAL
LA English
DT Article
DE Resilience; Public transportation; Smart transportation; Sensors; Roads;
   Analytical models; Internet of Things; Urban traffic network; complex
   network; identification of vital node; resilience evaluation; attack
   strategy
ID VULNERABILITY ANALYSIS; COMPLEX; NODES; BOTTLENECK; DYNAMICS; SCALE;
   ERROR; POWER
AB In megacities, Internet of Things (IoT) based smart transportation is an effective solution to dealing with traffic congestions. Resilience evaluation of traffic networks can help enhance the management of IoT-based smart transportation. Currently, most of the research work on resilience evaluation is devoted to a single type of traffic network. However, in reality, urban traffic networks are complex, and various types of traffic networks are often highly interrelated and need to be evaluated concurrently. To address the above problem, this paper proposed a method for resilience evaluation of urban bus-subway traffic networks for potential applications in IoT-based smart transportation in megacities. The essential idea behind the proposed method is to combine the urban bus network with the subway network and present a model of an urban bus-subway hybrid traffic network, rather than a single type of traffic network. In the proposed method, (1) an urban bus-subway hybrid traffic networks model is established; (2) four metrics such as the degree centrality and clustering coefficient are used to identify vital nodes in the hybrid traffic network; and (3) four indicators such as the network efficiency and sensitivity are used to analyze the network resilience. The effectiveness of the proposed method is verified by the application of urban bus-subway hybrid traffic networks in Beijing. The proposed method can be potentially applied to optimize the resource allocation of important nodes in an urban hybrid traffic network, which is of great interest for enhancing the management of IoT-based smart transportation in megacities.
C1 [Qi, Xiaoyu; Mei, Gang] China Univ Geosci Beijing, Sch Engn & Technol, Beijing 100083, Peoples R China.
   [Piccialli, Francesco] Univ Naples Federico II, Sch Engn & Technol, I-80138 Naples, Italy.
C3 China University of Geosciences; University of Naples Federico II
RP Piccialli, F (corresponding author), Univ Naples Federico II, Sch Engn & Technol, I-80138 Naples, Italy.
EM gang.mei@cugb.edu.cn; francesco.piccialli@unina.it
RI Piccialli, Francesco/ABC-2457-2020; Mei, Gang/C-9124-2016
OI Mei, Gang/0000-0003-0026-5423
FU National Natural Science Foundation of China [11602235]; Fundamental
   Research Funds for China Central Universities [2652019220, 2652018091]
FX This work was supported in part by the National Natural Science
   Foundation of China under Grant 11602235 and in part by the Fundamental
   Research Funds for China Central Universities under Grant 2652019220 and
   Grant 2652018091.
CR Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   Albert R, 2002, REV MOD PHYS, V74, P47, DOI 10.1103/RevModPhys.74.47
   Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
   An XL, 2015, PHYSICA A, V436, P748, DOI 10.1016/j.physa.2015.05.087
   Babar M, 2019, J AMB INTEL HUM COMP, V10, P4167, DOI 10.1007/s12652-018-0820-5
   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]
   Cai ZY, 2018, INT J LOW-CARBON TEC, V13, P198, DOI 10.1093/ijlct/cty014
   Chen BY, 2012, TRANSPORT RES A-POL, V46, P501, DOI 10.1016/j.tra.2011.11.018
   Comin CH, 2011, PHYS REV E, V84, DOI 10.1103/PhysRevE.84.056105
   Corley H. W., 1982, Operations Research Letters, V1, P157, DOI 10.1016/0167-6377(82)90020-7
   Crucitti P, 2003, PHYSICA A, V320, P622, DOI 10.1016/S0378-4371(02)01545-5
   Dey AK, 2019, P NATL ACAD SCI USA, V116, P19368, DOI 10.1073/pnas.1819529116
   Ding R, 2019, NETW SPAT ECON, V19, P1281, DOI 10.1007/s11067-019-09466-5
   Erath A, 2009, TRANSPORT RES REC, P118, DOI 10.3141/2137-13
   Fei LG, 2018, PHYSICA A, V512, P1044, DOI 10.1016/j.physa.2018.08.135
   Bernal EF, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123486
   Gómez D, 2003, MATH SOC SCI, V46, P27, DOI 10.1016/S0165-4896(03)00028-3
   Guo XA, 2007, MOD PHYS LETT B, V21, P929, DOI 10.1142/S0217984907013389
   Han ZM, 2015, ACTA PHYS SIN-CH ED, V64, DOI 10.7498/aps.64.058902
   Harrison C, 2010, IBM J RES DEV, V54, DOI 10.1147/JRD.2010.2048257
   Heitzig J, 2012, EUR PHYS J B, V85, DOI 10.1140/epjb/e2011-20678-7
   Holmgren ÅJ, 2006, RISK ANAL, V26, P955, DOI 10.1111/j.1539-6924.2006.00791.x
   Hou BN, 2012, PHYSICA A, V391, P4012, DOI 10.1016/j.physa.2012.02.033
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Kenett DY, 2012, INT J BIFURCAT CHAOS, V22, DOI 10.1142/S0218127412501817
   Latora V, 2003, EUR PHYS J B, V32, P249, DOI 10.1140/epjb/e2003-00095-5
   Li M, 2010, IEEE WIREL COMMUN, V17, P51, DOI 10.1109/MWC.2010.5416350
   Li WG, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-38781-7
   Lin J, 2017, IEEE INTERNET THINGS, V4, P1125, DOI 10.1109/JIOT.2017.2683200
   Liu ZZ, 2018, IEEE ACCESS, V6, P72201, DOI 10.1109/ACCESS.2018.2879891
   Long JC, 2008, SCI CHINA SER F, V51, P948, DOI 10.1007/s11432-008-0038-9
   Lü LY, 2016, PHYS REP, V650, P1, DOI 10.1016/j.physrep.2016.06.007
   Ma LL, 2016, INT J MOD PHYS C, V27, DOI 10.1142/S0129183116501497
   Ma XL, 2013, TRANSPORT RES C-EMER, V36, P1, DOI 10.1016/j.trc.2013.07.010
   Minoli D, 2017, IEEE INTERNET THINGS, V4, P269, DOI 10.1109/JIOT.2017.2647881
   Mostafi S, 2019, IEEE ACCESS, V7, P40925, DOI 10.1109/ACCESS.2019.2906647
   PAGONO A, 2018, COMPLEXITY, V2018, P1
   Qi XY, 2020, FUTURE GENER COMP SY, V109, P293, DOI 10.1016/j.future.2020.04.004
   Ren T, 2016, CHINESE PHYS B, V25, DOI 10.1088/1674-1056/25/2/020101
   Restrepo JG, 2006, PHYS REV LETT, V97, DOI 10.1103/PhysRevLett.97.094102
   Sole-Ribalta A, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160098
   Su BB, 2007, PHYSICA A, V379, P291, DOI 10.1016/j.physa.2006.12.049
   Sui ZY, 2020, OCEAN ENG, V214, DOI 10.1016/j.oceaneng.2020.107848
   Taylor MAP, 2006, NETW SPAT ECON, V6, P267, DOI 10.1007/s11067-006-9284-9
   Tran VH, 2019, J SYST SCI COMPLEX, V32, P1251, DOI 10.1007/s11424-019-7431-x
   Wang CY, 2011, COMMUN THEOR PHYS, V55, P725, DOI 10.1088/0253-6102/55/4/39
   Watts DJ, 1998, NATURE, V393, P440, DOI 10.1038/30918
   Xia F, 2020, IEEE T INTELL TRANSP, V21, P2840, DOI 10.1109/TITS.2019.2920962
   Xiao L, 2020, FUTURE GENER COMP SY, V106, P1, DOI 10.1016/j.future.2019.12.038
   Xing RR, 2018, DISCRETE DYN NAT SOC, V2018, DOI 10.1155/2018/1915695
   Xu FF, 2019, PHYSICA A, V528, DOI 10.1016/j.physa.2019.121329
   Yang X, 2017, IEEE T INTELL TRANSP, V18, P259, DOI 10.1109/TITS.2016.2566801
   Zhang GL, 2020, IEEE ACCESS, V8, P7506, DOI 10.1109/ACCESS.2019.2959654
   Zhang YT, 2020, PHYS REV E, V101, DOI 10.1103/PhysRevE.101.022304
   Zheng JF, 2013, INT J MOD PHYS C, V24, DOI 10.1142/S0129183113500721
   Zhu FH, 2020, IEEE T INTELL TRANSP, V21, P4063, DOI 10.1109/TITS.2019.2934991
   Zhu FH, 2016, IEEE T INTELL TRANSP, V17, P1576, DOI 10.1109/TITS.2015.2506156
   Zhu X, 2019, J SENSORS, V2019, DOI 10.1155/2019/6530469
   Zhuo Y, 2011, PHYSICA A, V390, P2401, DOI 10.1016/j.physa.2011.02.002
NR 59
TC 11
Z9 13
U1 10
U2 142
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1530-437X
EI 1558-1748
J9 IEEE SENS J
JI IEEE Sens. J.
PD NOV 15
PY 2021
VL 21
IS 22
BP 25061
EP 25074
DI 10.1109/JSEN.2020.3046270
PG 14
WC Engineering, Electrical & Electronic; Instruments & Instrumentation;
   Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Instruments & Instrumentation; Physics
GA WW3DU
UT WOS:000717802500023
DA 2025-04-22
ER

PT J
AU Mastran, SS
AF Mastran, Shelley S.
TI The Resilience of Planned Communities: Recent Perspectives
SO JOURNAL OF URBAN HISTORY
LA English
DT Review
DE planned community; historic preservation; urban design; landscape
   architecture; resilience
C1 [Mastran, Shelley S.] Virginia Tech, Arlington, VA 22203 USA.
C3 Virginia Polytechnic Institute & State University
RP Mastran, SS (corresponding author), Virginia Tech, Arlington, VA 22203 USA.
CR Terio-Simon Cheryl., 2022, COMMUNITY IS WHAT IT, P78
   Whyte William H, 1970, LAST LANDSCAPE, P227
NR 2
TC 0
Z9 0
U1 6
U2 11
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0096-1442
EI 1552-6771
J9 J URBAN HIST
JI J. Urban Hist.
PD MAR
PY 2024
VL 50
IS 2
BP 476
EP 481
DI 10.1177/00961442231153184
EA MAR 2023
PG 6
WC History; History Of Social Sciences; Urban Studies
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC History; Social Sciences - Other Topics; Urban Studies
GA IB0F8
UT WOS:000945994200001
DA 2025-04-22
ER

PT J
AU Sethi, M
   Sharma, R
   Mohapatra, S
   Mittal, S
AF Sethi, Mahendra
   Sharma, Richa
   Mohapatra, Subhakanta
   Mittal, Shilpi
TI How to tackle complexity in urban climate resilience? Negotiating
   climate science, adaptation and multi-level governance in India
SO PLOS ONE
LA English
DT Article
ID CO-BENEFITS; CITIES; ENERGY; FRAMEWORK; RESPONSES; SYSTEMS
AB As the world's population is expected to be over 2/3(rd) urban by 2050, climate action in cities is a growing area of interest in the inter-disciplines of development policy, disaster mitigation and environmental governance. The climate impacts are expected to be quite severe in the developing world, given its urban societies are densely packed, vastly exposed to natural elements while possessing limited capabilities. There is a notable ambiguity and complexity that inhibits a methodical approach in identifying urban resilience measures. The complexity is due to intersection of large number of distinct variables in climate geoscience (precipitation and temperature anomalies at different locations, RCPs, timeline), adaptation alternatives (approach, priority, intervention level) and urban governance (functional mandate, institutional capacity, and plans & policies). This research examines how disparate and complex knowledge and information in these inter-disciplines can be processed for systematic 'negotiation' to situate, ground and operationalize resilience in cities. With India as a case, we test this by simulating mid-term and long-run climate scenarios (2050 & 2080) to map regional climate impacts that shows escalation in the intensity of climate events like heat waves, urban flooding, landslides and sea level rise. We draw on suitable adaptation measures for five key urban sectors- water, infrastructure (including energy), building, urban planning, health and conclude a sleuth of climate resilience building measures for policy application through national/ state policies, local urban plans and preparation of city resilience strategy, as well as advance the research on 'negotiated resilience' in urban areas
C1 [Sethi, Mahendra] Tech Univ Berlin, Berlin, Germany.
   [Sethi, Mahendra] Mercator Res Inst Global Commons & Climate Change, Berlin, Germany.
   [Sethi, Mahendra; Mittal, Shilpi] Indian Soc Appl Res & Dev, New Delhi, India.
   [Sharma, Richa] India Publ Hlth Fdn India, New Delhi, India.
   [Mohapatra, Subhakanta] Indira Gandhi Natl Open Univ, Sch Sci, New Delhi, India.
   [Mittal, Shilpi] GD Goenka Univ, Gurugram, Haryana, India.
C3 Technical University of Berlin; GD Goenka University
RP Sethi, M (corresponding author), Tech Univ Berlin, Berlin, Germany.; Sethi, M (corresponding author), Mercator Res Inst Global Commons & Climate Change, Berlin, Germany.; Sethi, M (corresponding author), Indian Soc Appl Res & Dev, New Delhi, India.
EM m.sethi@campus.tu-berlin.de
RI Mohapatra, Subhakanta/AEY-1597-2022
OI Mohapatra, Subhakanta/0000-0003-1287-1850; Sethi,
   Mahendra/0000-0003-1065-5484
FU Alexander von Humboldt Foundation
FX The first author acknowledges the Alexander von Humboldt Foundation for
   the generous research fellowship.
CR Albers RA., OVERVIEW CHALLENGES
   Anderies JM, 2006, ECOL SOC, V11
   Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   [Anonymous], 2012, NUTR REQ SWIN, V11th
   [Anonymous], 2015, The Sustainable Development Goals. Goal 3: Ensure healthy lives and promote well-being for all at all ages
   [Anonymous], 2011, CLIMATE CHANGE CITIE
   [Anonymous], 2010, ADB CLIM CHANG PROGR
   ARUP and Rockefeller Foundation, 2014, CITY RES FRAM
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barnett Jon., 2013, SUCCESSFUL ADAPTATIO, P37
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Carreón JR, 2018, RESOUR CONSERV RECY, V132, P258, DOI 10.1016/j.resconrec.2017.08.004
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chen C, 2016, ENVIRON SCI POLICY, V66, P403, DOI 10.1016/j.envsci.2016.05.007
   Cook MJ, 2018, POLICIES PROGRAMS PR, P255
   Cutter SL, 2013, ENVIRONMENT, V55, P25, DOI 10.1080/00139157.2013.768076
   Dubash N K., 2014, Economic and Political Weekly, V49, P86
   Dulal HB, 2019, J ENVIRON STUD SCI, V9, P13, DOI 10.1007/s13412-018-0534-1
   Ecologic Institute, 2011, ADAPTATION CLIMATE C
   Evans P., 2014, Solutions. Vol, V5, p48
   Fox-Lent C, 2018, LECT N ENERG, V65, P29, DOI 10.1007/978-3-319-75798-8_2
   Galderisi A., 2014, WIT T ECOLOGY ENV, V191, P549
   Gokhale S, 2016, LOCAL GOV Q, V85
   Government of India, 1992, CONST 74 AM ACT
   Government of Karnataka, 2020, VISION MISSION
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   IITM, 2018, CLIM DAT PORT
   IPCC. Annex I: Glossary, 2014, GLOBAL WARMING 1 5 C
   IPCCIntergovernmental Panel on Climate Change, CLIMATE CHANGE 2014
   Jha G., 2011, NAGARLOK, V43, P1
   Johansson TB, 2012, Global energy assessment: toward a sustainable future
   Joseph KJV, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0241499
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kammen DM, 2016, SCIENCE, V352, P922, DOI 10.1126/science.aad9302
   Karanth A, 2014, DEV PRACT, V24, P514, DOI 10.1080/09614524.2014.911246
   Khosla R, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.560
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Linkov and Trump, 2019, SCI PRACT RES
   Linkov I, 2018, RISK ANAL, V38, P1772, DOI 10.1111/risa.12991
   Magnan A, 2014, SAPI S SURVEYS PERSP, V30
   Mathison C, 2013, SCI TOTAL ENVIRON, V468, pS4, DOI 10.1016/j.scitotenv.2012.04.066
   Mathur O.P., 2018, FINANCING URBAN INFR
   McCarney P., 2011, CLIMATE CHANGE CITIE, P249
   MoEF, 2008, NAT ACT PLAN CLIM CH, P4
   MOEFCC, 2015, INDIAS INTENDED NATI
   MoHUA, 2020, SCHEM PROGR
   Molyneaux L, 2012, ENERG POLICY, V47, P188, DOI 10.1016/j.enpol.2012.04.057
   MoUDMinistry of Urban Development, 2014, URDPFI GUID 2014
   Narender A, 2018, EXPLOR URBAN CHANGE, P341, DOI 10.1007/978-981-10-5816-5_15
   Naser M. M., 2021, Global report on human settlements: Cities and climate change
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Quan S.J., 2017, CLIM DEV, V4, P311
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Rohini P, 2016, SCI REP-UK, V6, DOI 10.1038/srep26153
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Satterthwaite D, 2007, AAPTING CLIMATE CHAN
   Sethi M., ANCILLARY BENEFITS C, P301
   Sethi M, 2016, LOCAL GOV Q
   Sethi M, 2018, EXPLOR URBAN CHANGE, P47, DOI 10.1007/978-981-10-5816-5_2
   Sethi M, 2018, EXPLOR URBAN CHANGE, P3, DOI 10.1007/978-981-10-5816-5_1
   Sethi M, 2015, J CLEAN PROD, V103, P586, DOI 10.1016/j.jclepro.2014.10.067
   Sethi M, 2013, ENERG CLIM ENVIRON, P200
   Seto KC, 2014, HUMAN SETTLEMENTS IN
   Sharifi A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141642
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Sharma D, 2018, CLIMATE RESILIENCE U, P303
   Sivaramakrishnan K.C., 2006, PEOPLES PARTICIPATIO
   Tompkins EL, 2004, ECOL SOC, V9
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   UNDESA, STESASERA420 UNDESA
   UNDP World Health Organization., EN ACC SIT EDV COUNT
   Ürge-Vorsatz D, 2018, NAT CLIM CHANGE, V8, P174, DOI 10.1038/s41558-018-0100-6
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   World Bank, 2010, Global Payment Systems Survey
NR 78
TC 23
Z9 23
U1 2
U2 25
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
PY 2021
VL 16
IS 7
AR e0253904
DI 10.1371/journal.pone.0253904
PG 21
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA TC7AG
UT WOS:000668791400002
PM 34197514
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Elgendawy, A
   Davies, P
   Chang, HC
AF Elgendawy, Alaa
   Davies, Peter
   Chang, Hsing-Chung
TI Planning for cooler cities: a plan quality evaluation for Urban Heat
   Island consideration
SO JOURNAL OF ENVIRONMENTAL POLICY & PLANNING
LA English
DT Article
DE Urban Heat Island; strategic planning; plan quality evaluation; climate
   change; resilient cities
ID CLIMATE-CHANGE ADAPTATION; SUSTAINABLE DEVELOPMENT; STRATEGIES;
   MITIGATION; FRAMEWORK; IMPACTS; GROWTH; STATES; RISKS
AB City strategic plans and enabling policies provide a framework for and inform future development across multiple scales. An exemplar city strategic plan will be one based on evidence, enabled by complementary policy outcomes, and built on the knowledge of the existing landscape. This study evaluated the plan quality of eighteen metropolitan strategic plans for city members in the 100 Resilient Cities initiative. A protocol was developed containing thirty-two indicators to assess plans capacity to act as a strategic planning tool to develop, analyse and implement strategies for the Urban Heat Island (UHI) and climate change mitigation and adaptation. The evaluation indicated that strategies addressing the UHI are rarely included in metropolitan plans. Strategic plans showed a lack of evidence-base to inform the potential actions. Urban warming is often linked to extreme weather events anticipated under climate change, not the UHI as a systemic and increasing phenomenon. We recommend that the pathway to addressing UHI mitigation and adaptation may lie in its nexus to aspects of climate change that concurrently can serve to support liveable and resilient cities.
C1 [Elgendawy, Alaa; Davies, Peter; Chang, Hsing-Chung] Macquarie Univ, Dept Earth & Environm Sci, Sydney, NSW, Australia.
C3 Macquarie University
RP Elgendawy, A (corresponding author), Macquarie Univ, Dept Earth & Environm Sci, Sydney, NSW, Australia.
EM alaa.el-gendawy@students.mq.edu.au
OI Davies, Peter/0000-0002-2711-891X; Elgendawy, Alaa/0000-0001-9303-2594;
   Chang, Hsing-Chung/0000-0003-3523-9938
FU Macquarie University internal Research Excellence Scholarship (MQRES)
FX The authors acknowledge that the work conducted in the production of
   this research article was financially supported by the Macquarie
   University internal Research Excellence Scholarship (MQRES).
CR 100 Resilient Cities, FREQ ASK QUEST 100 R
   AECOM, 2012, EC ASS URB HEAT ISL
   ALEXANDER ER, 1989, ENVIRON PLANN B, V16, P127, DOI 10.1068/b160127
   [Anonymous], 2017, SUSTAINABILITY BASEL, DOI DOI 10.3390/SU9020271
   Baer WC, 1997, J AM PLANN ASSOC, V63, P329, DOI 10.1080/01944369708975926
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Baynham M, 2014, J ENVIRON PLANN MAN, V57, P557, DOI 10.1080/09640568.2012.756805
   Berke P, 2012, NAT HAZARDS REV, V13, P139, DOI 10.1061/(ASCE)NH.1527-6996.0000063
   Berke P, 2009, J PLAN LIT, V23, P227, DOI 10.1177/0885412208327014
   Berke PR, 2000, J AM PLANN ASSOC, V66, P21, DOI 10.1080/01944360008976081
   Berke PR, 2002, J PLAN EDUC RES, V22, P115, DOI 10.1177/0739456X02238442
   Berke PR, 1999, ENVIRON PLANN B, V26, P643, DOI 10.1068/b260643
   Boswell MichaelR., 2011, Local Climate Action Planning
   Bott R., 2014, Igarss, DOI DOI 10.1007/S13398-014-0173-7.2
   Brody SD, 2003, J PLAN EDUC RES, V23, P191, DOI 10.1177/0739456X03258635
   Bunnell G, 2011, J AM PLANN ASSOC, V77, P338, DOI 10.1080/01944363.2011.619951
   Chapin S., 1979, URBAN LAND USE PLANN
   Davoud S., 2009, PLANNING CLIMATE CHA
   Dhar TK, 2017, URBAN CLIM, V19, P72, DOI 10.1016/j.uclim.2016.12.004
   Dhar TK, 2017, J ENVIRON PLANN MAN, V60, P602, DOI 10.1080/09640568.2016.1178107
   Dixon T, 2013, CARBON MANAG, V4, P663, DOI 10.4155/CMT.13.58
   Edwards MM, 2007, J PLAN EDUC RES, V27, P49, DOI 10.1177/0739456X07305792
   Eliasson I, 2000, LANDSCAPE URBAN PLAN, V48, P31, DOI 10.1016/S0169-2046(00)00034-7
   Fainstein S., 2016, READINGS PLANNING TH, DOI [10.1177/0739456x17743316, DOI 10.1177/0739456X17743316]
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gartland L.M., 2012, Heat Islands: Understanding and Mitigating Heat in Urban Areas
   Gerckens L. C., 2003, PLANNING COMMISSIONE
   GLADWIN TN, 1995, ACAD MANAGE REV, V20, P874, DOI 10.5465/amr.1995.9512280024
   Greater London Authority, 2016, LOND PLAN SPAT DEV S
   Greiving S, 2012, EUR PLAN STUD, V20, P27, DOI 10.1080/09654313.2011.638493
   Guyadeen D, 2018, J AM PLANN ASSOC, V84, P21, DOI 10.1080/01944363.2017.1404486
   Guyadeen D, 2016, PLAN PRACT RES, V31, P215, DOI 10.1080/02697459.2015.1081335
   Hagen B, 2016, URBAN PLAN, V1, P13, DOI 10.17645/up.v1i3.671
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hamin E.M., 2011, Climate change and land policies
   Hebbert M, 2014, URBAN CLIM, V10, P204, DOI 10.1016/j.uclim.2014.07.001
   Hoch C, 2007, J AM PLANN ASSOC, V73, P86, DOI 10.1080/01944360708976138
   Holley Cameron., 2017, Risk, Resilience, Inequality and Environmental Law, P129
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   James P, 2009, URBAN FOR URBAN GREE, V8, P65, DOI 10.1016/j.ufug.2009.02.001
   Kaiser E.J., 1995, URBAN LAND USE PLANN, V4th
   Kim HW, 2017, J ENVIRON PLANN MAN, V60, P1702, DOI 10.1080/09640568.2016.1251399
   Krieger M.H., 1981, Advice and planning
   Kumar P, 2015, LAND USE POLICY, V42, P210, DOI 10.1016/j.landusepol.2014.07.016
   Lemonsu A, 2015, URBAN CLIM, V14, P586, DOI 10.1016/j.uclim.2015.10.007
   Lyles W, 2014, J PLAN EDUC RES, V34, P433, DOI 10.1177/0739456X14549752
   Metro Vancouver, 2017, METR VANC 2040 SHAPP
   Miles M.B., 1994, QUALITATIVE DATA ANA
   Mills G, 2006, THEOR APPL CLIMATOL, V84, P69, DOI 10.1007/s00704-005-0145-0
   Moser SC, 2008, CLIMATIC CHANGE, V87, pS309, DOI 10.1007/s10584-007-9384-7
   National Park City Foundation, LOND NAT PARK CIT
   Nelson AC, 2002, J AM PLANN ASSOC, V68, P194, DOI 10.1080/01944360208976265
   Newman Peter., 2017, RESILIENT CITIES OVE, VSecond, DOI DOI 10.5822/978-1-61091-686-8
   Oke TR, 2006, THEOR APPL CLIMATOL, V84, P179, DOI [10.1007/s00704-005-0153-0, 10.1007/S00704-005-0153-0]
   OKE TR, 1984, ENERG BUILDINGS, V7, P1, DOI 10.1016/0378-7788(84)90040-9
   OMalley P, 1997, ECON SOC, V26, P501, DOI 10.1080/03085149700000026
   Ouseburn Futures and Newcastle City Council, 2012, Ouseburn Regeneration Plan 2012-2020
   Potts R, 2017, J ENVIRON POL PLAN, V19, P668, DOI [10.1080/1523908X.2016.1265885, 10.1080/1523908x.2016.1265885]
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Ren C, 2012, INT J APPL EARTH OBS, V18, P207, DOI 10.1016/j.jag.2012.01.026
   Rijke J, 2012, ENVIRON SCI POLICY, V22, P73, DOI 10.1016/j.envsci.2012.06.010
   Rosenfeld AH, 1998, ENERG BUILDINGS, V28, P51, DOI 10.1016/S0378-7788(97)00063-7
   Roth M., 2013, Handbook of Environmental Fluid Dynamics - Volume Two, P143, DOI DOI 10.1201/B13691
   SANDERCOCK L, 2004, JAPA, V70, P2
   Santamouris M, 2015, SCI TOTAL ENVIRON, V512, P582, DOI 10.1016/j.scitotenv.2015.01.060
   Santamouris M, 2015, SPRINGER OPTIM APPL, V102, P141, DOI 10.1007/978-3-319-15030-7_8
   Stevens HR, 2019, INT J BIOMETEOROL, V63, P747, DOI 10.1007/s00484-019-01689-y
   Stevens MR, 2014, J PLAN EDUC RES, V34, P77, DOI 10.1177/0739456X13513614
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Tanaka T., 2005, 25 ANN ESRI INT US C
   Tang ZH, 2013, OCEAN COAST MANAGE, V80, P46, DOI 10.1016/j.ocecoaman.2013.04.004
   Tang ZH, 2010, J ENVIRON PLANN MAN, V53, P41, DOI 10.1080/09640560903399772
   Tang ZH, 2009, ENVIRON PLANN B, V36, P522, DOI 10.1068/b34076
   The City of New York, 2015, THESIS
   Victoria State Government, 2017, Plan Melbourne 20172050
   Voogt JA., 2002, CAUSES CONSEQUENCES, V3, P660
   Wheeler S, 2008, J AM PLANN ASSOC, V74, P481, DOI 10.1080/01944360802377973
NR 78
TC 12
Z9 13
U1 7
U2 59
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1523-908X
EI 1522-7200
J9 J ENVIRON POL PLAN
JI J. Environ. Pol. Plan.
PD JUL 3
PY 2020
VL 22
IS 4
BP 531
EP 553
DI 10.1080/1523908X.2020.1781605
EA JUN 2020
PG 23
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA MN6GW
UT WOS:000547649600001
DA 2025-04-22
ER

PT J
AU Nederhand, J
   Avelino, F
   Awad, I
   De Jong, P
   Duijn, M
   Edelenbos, J
   Engelbert, J
   Fransen, J
   Schiller, M
   Van Stapele, N
AF Nederhand, Jose
   Avelino, Flor
   Awad, Isabel
   De Jong, Petra
   Duijn, Michael
   Edelenbos, Jurian
   Engelbert, Jiska
   Fransen, Jan
   Schiller, Maria
   Van Stapele, Naomi
TI Reclaiming the city from an urban vitalism perspective: critically
   reflecting smart, inclusive, resilient and sustainable just city labels
SO CITIES
LA English
DT Article
DE Urban vitalism; Interdisciplinary; Process; Power; Communities; Citizens
ID CITIES; DIVERSITY; GEOGRAPHIES; TRANSITIONS; DIFFERENCE; DISCOURSE;
   CITIZENS; POLITICS; LIFE
AB This article analyses four of the most prominent city discourses and introduces the lens of urban vitalism as an overarching interdisciplinary concept of cities as places of transformation and change. We demonstrate the value of using urban vitalism as a lens to conceptualize and critically discuss different notions on smart, inclusive, resilient and sustainable just cities. Urban vitalism offers a process-based lens which enables us to understand cities as places of transformation and change, with people and other living beings at its core. The aim of the article is to explore how the lens of vitalism can help us understand and connect ongoing interdisciplinary ac-ademic debates about urban development and vice versa, and how these ongoing debates inform our under-standing of urban vitalism.
C1 [Nederhand, Jose; Awad, Isabel; De Jong, Petra; Duijn, Michael; Edelenbos, Jurian; Engelbert, Jiska; Fransen, Jan; Schiller, Maria] Erasmus Univ, Rotterdam, Netherlands.
   [Avelino, Flor] Univ Utrecht, Utrecht, Netherlands.
   [Van Stapele, Naomi] The Hague Univ Appl Sci, The Hague, Netherlands.
C3 Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University
   Rotterdam; Utrecht University
RP Nederhand, J (corresponding author), Erasmus Univ, Rotterdam, Netherlands.
EM nederhand@essb.eur.nl
RI Awad, Isabel/GSN-3528-2022; Fransen, Jan/AGZ-8534-2022
OI Fransen, Jan/0000-0003-1127-7307; Awad, Isabel/0000-0002-2619-6748;
   Avelino, Flor/0000-0002-3709-9791
FU Erasmus University Initiative "Vital Cities and Citizens"
FX This research was funded by the Erasmus University Initiative "Vital
   Cities and Citizens".
CR Adams D, 2007, TOWN PLAN REV, V78, P671, DOI 10.3828/tpr.78.6.1
   Agyeman J., 2002, Space Polity, V6, P77, DOI DOI 10.1080/13562570220137907
   Agyeman J, 2008, CONTINUUM-J MEDIA CU, V22, P751, DOI 10.1080/10304310802452487
   Agyeman Julian., 2013, Introducing Just Sustainabilities: Policy, Planning, and Practice
   Ahern NR, 2006, COMPR CHILD ADOLES N, V29, P103, DOI 10.1080/01460860600677643
   Albino V, 2015, J URBAN TECHNOL, V22, P3, DOI 10.1080/10630732.2014.942092
   Anguelovski I., 2018, City, V22, P417, DOI [10.1080/13604813.2018.1473126, DOI 10.1080/13604813.2018.1473126]
   Anguelovski I, 2020, ANN AM ASSOC GEOGR, V110, P1743, DOI 10.1080/24694452.2020.1740579
   [Anonymous], 2016, Report
   Anshel M. H., 1990, Journal of Sport Behavior, V13, P194
   Bakhtin Mikhail, 1981, The dialogical imaginationFour essays by M. M. Bakhtin, P259
   BAXTER H, 1987, THEOR SOC, V16, P39, DOI 10.1007/BF00162659
   Beckwith S, 2008, INT J NURS STUD, V45, P1831, DOI 10.1016/j.ijnurstu.2008.06.011
   Bosch P., 2017, CITYkeys indicators for smart city projects and smart cities
   Bourbeau P, 2015, INT STUD REV, V17, P374, DOI 10.1111/misr.12226
   Brandsen T, 2016, CRITICAL REFLECTIONS ON INTERACTIVE GOVERNANCE: SELF-ORGANIZATION AND PARTICIPATION IN PUBLIC GOVERNANCE, P337
   Broto VC, 2017, LOCAL ENVIRON, V22, P635, DOI 10.1080/13549839.2016.1248379
   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
   Chesney MA, 2003, PSYCHOSOM MED, V65, P1038, DOI 10.1097/01.PSY.0000097344.78697.ED
   Ciplet D., 2019, ENVIRON POLIT, P1
   Connor KM, 2003, DEPRESS ANXIETY, V18, P76, DOI 10.1002/da.10113
   Cooper E, 2015, ANTHR CHANGE DEV, P1
   Creamer E, 2015, LOCAL ENVIRON, V20, P981, DOI 10.1080/13549839.2014.885937
   Datta A, 2015, DIALOGUES HUM GEOGR, V5, P3, DOI 10.1177/2043820614565748
   Duijn M, 2019, INT J WATER RESOUR D, V35, P383, DOI 10.1080/07900627.2019.1575189
   Edelenbos J, 2016, CRITICAL REFLECTIONS ON INTERACTIVE GOVERNANCE: SELF-ORGANIZATION AND PARTICIPATION IN PUBLIC GOVERNANCE, P1, DOI 10.4337/9781783479078
   Engelbert J, 2019, TECHNOL FORECAST SOC, V142, P347, DOI 10.1016/j.techfore.2018.08.020
   Eshuis Jasper., 2009, Journal of Urban Regeneration and Renewal, V2, P272
   Fainstein SS, 2005, URBAN AFF REV, V41, P3, DOI 10.1177/1078087405278968
   Fergus S, 2005, ANNU REV PUBL HEALTH, V26, P399, DOI 10.1146/annurev.publhealth.26.021304.144357
   Florida R., 2005, Cities and the creative class, DOI DOI 10.1016/j.landurbplan.2013.04.009
   Fransen J, 2022, EUR J DEV RES, V34, P432, DOI 10.1057/s41287-020-00348-y
   Fraser M, 2005, THEOR CULT SOC, V22, P1, DOI 10.1177/0263276405048431
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Gonzales VA, 2010, COMMUNITY DEV, V41, P50, DOI 10.1080/15575330903359598
   Grin J., 2010, Transitions to Sustainable Development: New Directions in the Study of Long Term Transformative Change
   Hall SM, 2015, ETHNIC RACIAL STUD, V38, P22, DOI 10.1080/01419870.2013.858175
   Healey P, 2006, RTPI LIB SER, P1
   Healey P., 2021, Civic Engagement, Community-Based Initiatives and Governance Capacity, P43
   Healey Pasty., 2006, Collaborative Planning: Shaping Places in Fragmented Societies, V2nd
   Höjer M, 2015, ADV INTELL SYST, V310, P333, DOI 10.1007/978-3-319-09228-7_20
   Hopkins Rob., 2008, TRANSITION HDB OIL D
   Hopwood B, 2005, SUSTAIN DEV, V13, P38, DOI 10.1002/sd.244
   Hornborg A, 2013, RESILIENCE-ABINGDON, V1, P116, DOI 10.1080/21693293.2013.797661
   Huovila A, 2019, CITIES, V89, P141, DOI 10.1016/j.cities.2019.01.029
   ICLEI, 2018, TRACK LOC PROGR RES
   Inroy N.M., 2000, Space and Polity, V4, P23, DOI DOI 10.1080/713697747
   Irani L, 2015, SCI TECHNOL HUM VAL, V40, P799, DOI 10.1177/0162243915578486
   Iveson K, 2018, GEOGR ANN B, V100, P287, DOI 10.1080/04353684.2018.1469095
   Jane J., 1961, DEATH LIFE GREAT AM
   Jhagroe S., 2016, Urban transition politics. How struggles for sustainability are (re)making urban space
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Kasemir B., 2003, PUBLIC PARTICIPATION
   Kimari W, 2021, URBAN GEOGR, V42, P141, DOI 10.1080/02723638.2019.1706938
   Kitchin R, 2014, GEOJOURNAL, V79, P1, DOI 10.1007/s10708-013-9516-8
   Köhler J, 2019, ENVIRON INNOV SOC TR, V31, P1, DOI 10.1016/j.eist.2019.01.004
   Kotsila P., 2020, METAANALYSIS EU FUND
   Kummitha RKR, 2017, CITIES, V67, P43, DOI 10.1016/j.cities.2017.04.010
   Lash S, 2006, THEOR CULT SOC, V23, P323, DOI 10.1177/0263276406062697
   Lefebvre H., 1968, WRITINGS CITIES, P147
   Loorbach D, 2017, ANNU REV ENV RESOUR, V42, P599, DOI 10.1146/annurev-environ-102014-021340
   Loorbach D, 2010, GOVERNANCE, V23, P161, DOI 10.1111/j.1468-0491.2009.01471.x
   Ma WT, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11112999
   Markard J, 2012, RES POLICY, V41, P955, DOI 10.1016/j.respol.2012.02.013
   Masten AS, 2001, AM PSYCHOL, V56, P227, DOI 10.1037/0003-066X.56.3.227
   Mepschen P, 2019, ETHNIC RACIAL STUD, V42, P71, DOI 10.1080/01419870.2017.1406967
   Montgomery J., 1998, J. Urban Des, V3, P93, DOI DOI 10.1080/13574809808724418
   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]
   Nederhand J, 2023, PUBLIC ADMIN REV, V83, P522, DOI 10.1111/puar.13556
   Nederhand J, 2021, J PUBL ADM RES THEOR, V31, P634, DOI 10.1093/jopart/muaa059
   Nederhand J, 2019, LOCAL GOV STUD, V45, P219, DOI 10.1080/03003930.2018.1546172
   Nederhand J, 2016, PUBLIC MANAG REV, V18, P1063, DOI 10.1080/14719037.2015.1066417
   Patterson JJ, 2018, CURR OPIN ENV SUST, V31, P1, DOI 10.1016/j.cosust.2017.11.002
   Ploger J., 2016, ASHGATE RES COMPANIO, P337
   Prince-Embury S., 2013, Resilience in children, adolescents, and adults: Translating research into practice
   Radjou N., 2012, JUGAAD INNOVATION TH
   Reid Richard, 2016, Med Leg J, V84, P172
   Richardson C, 2012, HABITUS OF THE HOOD, P1
   Rotmans J., 2005, SOC INNOVATION DREAM
   Sandercock L., 1998, Towards Cosmopolis: Planning for Multicultural Cities
   Schiller M, 2016, GLOB DIVERS, P1, DOI 10.1057/978-1-137-52185-9
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Schmidt J, 2015, EUR J INT RELAT, V21, P402, DOI 10.1177/1354066114537533
   Scott AJ, 2015, INT J URBAN REGIONAL, V39, P1, DOI 10.1111/1468-2427.12134
   Shelton T, 2015, CAMB J REG ECON SOC, V8, P13, DOI 10.1093/cjres/rsu026
   Simone A.M., 2004, CITY YET COME
   Simone A.M., 2017, NEW URBAN WORLDS INH, V1st
   Swilling M., 2012, JUST TRANSITIONS EXP
   The Rockefeller Foundation ARUP, 2019, CIT RES IND UND MEAS
   Thomas H., 1997, TOWN PLAN REV, V68, P195
   Thomas H, 2008, PLAN PRACT RES, V23, P1, DOI 10.1080/02697450802076407
   Ungar M., 2012, HDB THEORY PRACTICE
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Valentine G, 2008, PROG HUM GEOG, V32, P323, DOI 10.1177/0309133308089372
   Vanolo A, 2016, FUTURES, V82, P26, DOI 10.1016/j.futures.2016.05.010
   Vasudevan A, 2015, PROG HUM GEOG, V39, P338, DOI 10.1177/0309132514531471
   Vollebergh A, 2016, PATTERNS PREJUDICE, V50, P129, DOI 10.1080/0031322X.2016.1161957
   Wessendorf S, 2013, IDENTITIES-GLOB STUD, V20, P407, DOI 10.1080/1070289X.2013.822374
   Windle G, 2011, HEALTH QUAL LIFE OUT, V9, DOI 10.1186/1477-7525-9-8
   Wirth L, 1938, AM J SOCIOL, V44, P1, DOI 10.1086/217913
   Wise A, 2014, EUR J CULT STUD, V17, P406, DOI 10.1177/1367549413510419
   Wittmayer JM, 2020, ENERGY RES SOC SCI, V70, DOI 10.1016/j.erss.2020.101689
   Wu G, 2013, FRONT BEHAV NEUROSCI, V7, DOI 10.3389/fnbeh.2013.00010
   Yiftachel Oren., 2009, City, V13, P246, DOI [10.1080/13604810902982227, DOI 10.1080/13604810902982227]
   Young I. M., 1990, JUSTICE AND THE POLITICS OF DIFFERENCE
   Young I.M., 2000, Inclusion and Democracy
   Zandbergen D, 2020, URBAN STUD, V57, P1733, DOI 10.1177/0042098019847410
NR 108
TC 12
Z9 12
U1 7
U2 17
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUN
PY 2023
VL 137
AR 104257
DI 10.1016/j.cities.2023.104257
EA MAR 2023
PG 10
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA D6SL8
UT WOS:000970007300001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Purwins, S
   Keck, M
AF Purwins, Sebastian
   Keck, Markus
TI The bureaucratic life of urban climate resilience
SO URBAN STUDIES
LA English
DT Editorial Material; Early Access
DE bureaucrats; public administration; science in action; urban climate
   adaptation; urban climate mitigation; urban resilience
AB With this commentary, we invite urban scholars to join us in exploring the bureaucratic life of urban climate resilience. Under this heading, we call for research into the intricate and often unpredictable processes of urban governance, from the formulation of general mitigation and adaptation goals to the implementation of concrete measures on the ground. While previous research on urban governance has focused primarily on political negotiations and alliance-building beforehand and on published plans after they are passed, we propose to put emphasis on the non-linear dynamics inherent in decision-making and implementation processes within city administrations. In this context, this commentary has two objectives: (1) we provide arguments for the need to (re-)focus attention on administrative processes in urban climate resilience and (2) we present a perspective that can be used to effectively study said processes. In contrast to widely used actor-oriented perspectives, our approach draws on insights from actor-network theory and integrates human and non-human actors to be studied. We illustrate our approach through an ethnographic study in the municipality of Augsburg, Germany, which serves to uncover the multiple processes of translation inherent in building urban climate resilience and to provide insights into the ways how bureaucrats shape and mediate the future of contemporary cities.
C1 [Purwins, Sebastian; Keck, Markus] Univ Augsburg, Augsburg, Germany.
C3 University of Augsburg
RP Purwins, S (corresponding author), Univ Augsburg, Inst Geog, Universitatsstr 12, D-86159 Augsburg, Bavaria, Germany.
EM sebastian.purwins@geo.uni-augsburg.de
RI Purwins, Sebastian/AAI-2313-2021
CR Bhardwaj A, 2021, ENVIRON PLAN E-NAT, V4, P1139, DOI 10.1177/2514848620949096
   Biesbroek R, 2018, REV POLICY RES, V35, P776, DOI 10.1111/ropr.12316
   Broto VC, 2020, TERRIT POLIT GOV, V8, P241, DOI 10.1080/21622671.2019.1632220
   Cremonini L., 2023, Challenges J., V14, P48, DOI [10.3390/challe14040048, DOI 10.3390/CHALLE14040048]
   Glaser B, 1999, DISCOV GROUNDED THEO
   Göpfert C, 2020, CITY ENVIRON INTERAC, V8, DOI 10.1016/j.cacint.2020.100052
   Grafakos S, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109623
   Haupt Wolfgang, 2022, Urban Climate, DOI 10.1016/j.uclim.2022.101220
   Haupt W, 2023, EUR PLAN STUD, V31, P1903, DOI 10.1080/09654313.2022.2147394
   Kelley BK., 2018, PhD Thesis
   Kern K, 2023, REV POLICY RES, V40, P1004, DOI 10.1111/ropr.12525
   Latour B., 1979, LAB LIFE SOCIAL CONS
   Latour B., 1987, Science in action
   Lee T, 2020, CLIM POLICY, V20, P341, DOI 10.1080/14693062.2020.1730152
   LINKE A, 1949, DEUT MED WOCHENSCHR, V74, P103, DOI 10.1055/s-0028-1118282
   Otto A, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03142-9
   Reckien D, 2019, RENEW SUST ENERG REV, V112, P948, DOI 10.1016/j.rser.2019.05.014
   Reckien D, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00085-1
   Stadt Augsburg, 2022, SMS for a climate-resilient Augsburg-Project outline, 13 October 2022
   Tu S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15020934
   Weber M., 1978, Economy and Society
NR 21
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 0042-0980
EI 1360-063X
J9 URBAN STUD
JI Urban Stud.
PD 2025 MAR 31
PY 2025
DI 10.1177/00420980251322008
EA MAR 2025
PG 11
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA 0UP4L
UT WOS:001456394700001
DA 2025-04-22
ER

PT J
AU Zeng, XY
   Ortner, FP
   Tuncer, B
AF Zeng, Xinyu
   Ortner, Frederick Peter
   Tuncer, Bige
TI Systematic Review of the Role of Arts Places in Fostering Urban
   Sustainability and Resilience
SO SUSTAINABILITY
LA English
DT Review
DE arts places; arts; urban sustainability; urban resilience; urban
   planning; urban regeneration; cultural planning
ID PUBLIC ART; CITY; GENTRIFICATION; SIMILARITIES; PLACEMAKING; MANAGEMENT;
   FESTIVALS; GRAFFITI; REGIMES
AB This systematic review examines the role of arts places in fostering urban sustainability and resilience, investigating how these spaces contribute to long-term urban development goals. By synthesizing 79 peer-reviewed articles published between 2013 and 2024, this review identifies the mechanisms through which art spaces promote sustainability and resilience across economic, social, environmental, and cultural dimensions. Urban resilience is achieved through civic engagement and empowerment, as well as the repurposing the spaces to adapt to new uses within the community and strengthening cultural heritage and identity. Similarly, urban sustainability in different aspects, such as economic, environmental, and social, is fulfilled by new revenues from tourism income, as well as educational promotion on ecological issues through art. The findings reveal how arts places-ranging from permanent museums and galleries to temporary and public art installations-stimulate community engagement, economic revitalization, and environmental stewardship. This study provides a theoretical framework that illustrates the connections between the types of arts places, their initiators, and their intended outcomes. The results also highlight challenges such as gentrification and the tension between artistic and commercial purposes. Implications for urban planners and policymakers include integrating arts places into urban regeneration strategies. Future research should focus on quantitative measures of the long-term impact of arts places and their role in mitigating urban inequities.
C1 [Zeng, Xinyu; Ortner, Frederick Peter] Singapore Univ Technol & Design, Fac Architecture & Sustainable Design, 8 Somapah Rd, Singapore 487372, Singapore.
   [Tuncer, Bige] Eindhoven Univ Technol, Fac Informat Syst Built Environm, Groene Loper 3,POB 5135600, NL-5612 AE Eindhoven, Netherlands.
C3 Singapore University of Technology & Design; Eindhoven University of
   Technology
RP Zeng, XY (corresponding author), Singapore Univ Technol & Design, Fac Architecture & Sustainable Design, 8 Somapah Rd, Singapore 487372, Singapore.
EM xinyu_zeng@mymail.sutd.edu.sg; peter_ortner@sutd.edu.sg; b.tuncer@tue.nl
RI Zeng, Xinyu/KQU-3353-2024; Tuncer, Bige/AAE-1846-2022; Ortner,
   Frederick/AGH-7935-2022
OI Ortner, Frederick Peter/0000-0002-3376-7852
CR Aharon-Gutman M, 2018, URBAN STUD, V55, P3474, DOI 10.1177/0042098017743682
   Akbar PNG, 2022, INT J TOUR CITIES, V8, P168, DOI 10.1108/IJTC-12-2020-0286
   Andron S, 2018, SOCIOL REV, V66, P1036, DOI 10.1177/0038026118771293
   Ang I, 2017, J AUST STUD, V41, P336, DOI 10.1080/14443058.2017.1343252
   Arulraj AS, 2024, LOCAL ENVIRON, V29, P919, DOI 10.1080/13549839.2024.2319639
   Ashley AJ, 2017, J URBAN HIST, V43, P493, DOI 10.1177/0096144214566971
   Asprone D, 2015, DISASTERS, V39, pS96, DOI 10.1111/disa.12106
   Baek Y, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158320
   Bailey DJ, 2023, AFR STUD-UK, V82, P215, DOI 10.1080/00020184.2024.2321139
   Baraldi SB, 2022, EUR PLAN STUD, V30, P2102, DOI 10.1080/09654313.2022.2030675
   Baumann SE, 2021, HEALTH PROMOT PRACT, V22, p111S, DOI 10.1177/1524839921996083
   Cai GW, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17051489
   Cai ZQ, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16114488
   Cameron S., 2005, EUROPEAN J HOUSING P, V5, P39, DOI DOI 10.1080/14616710500055687
   Campbell LK, 2024, LANDSCAPE RES, DOI 10.1080/01426397.2024.2325507
   Campos R, 2023, CULT SOCIOL-LONDON, V17, P204, DOI 10.1177/17499755211068656
   Campos R, 2021, CITY COMMUNITY, V20, P121, DOI 10.1177/1535684121992350
   Campos R, 2021, CULT TRENDS, V30, P139, DOI 10.1080/09548963.2021.1897779
   Campos R, 2020, TOURIST STUD, V20, P182, DOI 10.1177/1468797619873108
   Pérez MFC, 2021, VLC ARQUIT, V8, P97, DOI 10.4995/vlc.2021.12709
   Chatkaewnapanon Y, 2019, J PLACE MANAG DEV, V12, P365, DOI 10.1108/JPMD-09-2017-0094
   Chelleri L, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102985
   Clammer J, 2014, SOC ALTERN, V33, P65
   Conte A, 2023, J ENVIRON PLANN MAN, V66, P2388, DOI 10.1080/09640568.2020.1822306
   Crespi-Vallbona M, 2021, INT J CULT POLICY, V27, P422, DOI 10.1080/10286632.2020.1792890
   Dadswell A, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16093587
   De Luca G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093929
   Freire GJD, 2020, DISEGNARECON, V13
   Dominiczak MH, 2015, CLIN CHEM, V61, P1219, DOI 10.1373/clinchem.2014.237446
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Elshater A, 2022, SOC SCI-BASEL, V11, DOI 10.3390/socsci11100471
   Erek AN, 2014, VIS RESOUR, V30, P301, DOI 10.1080/01973762.2014.964653
   Ernst D, 2016, J CLEAN PROD, V135, P1446, DOI 10.1016/j.jclepro.2016.06.196
   Evans G, 2009, URBAN STUD, V46, P1003, DOI 10.1177/0042098009103853
   Evans Graeme, 2016, Routledge Handbook of Graffiti and Street Art, V168, P182
   Florida Richard., 2014, The Rise of the Creative Class - Revisited
   Goldberg-Miller SBD, 2021, J URBAN AFF, V43, P1441, DOI 10.1080/07352166.2020.1768102
   Goodenough A, 2024, URBAN FOR URBAN GREE, V98, DOI 10.1016/j.ufug.2024.128398
   Guinard P, 2018, CITIES, V77, P13, DOI 10.1016/j.cities.2017.04.018
   Hall T., 2001, Landscape Research, V26, P5, DOI 10.1080/01426390120024457
   Holleran M, 2014, ACE-ARCHIT CITY ENVI, V9, P13, DOI 10.5821/ace.9.26.2786
   Irwandi E, 2023, COGENT ARTS HUMANITE, V10, DOI 10.1080/23311983.2023.2247671
   Jonvik M, 2024, CULT TRENDS, DOI 10.1080/09548963.2024.2358197
   Karimimoshaver M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105597
   Keidar N, 2024, URBAN STUD, V61, P1468, DOI 10.1177/00420980231206853
   Kelson E, 2017, COGENT ARTS HUMANITE, V4, DOI 10.1080/23311983.2017.1354527
   Kilinç K, 2024, SPACE CULT, V27, P501, DOI 10.1177/12063312211040200
   Killick A., 2020, J. Appl. Arts Health, V11, P255, DOI [10.1386/jaah000121, DOI 10.1386/JAAH000121]
   Kortbek HB, 2019, J ART MANAG LAW SOC, V49, P30, DOI 10.1080/10632921.2018.1473310
   Kraemer GP, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14074245
   Lacey J, 2016, ORGAN SOUND, V21, P147, DOI 10.1017/S1355771816000078
   Lee D, 2013, CITY SOC, V25, P304, DOI 10.1111/ciso.12024
   Lee K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052915
   Lew AA, 2016, TOURISM GEOGR, V18, P18, DOI 10.1080/14616688.2015.1122664
   Ley D, 2003, URBAN STUD, V40, P2527, DOI 10.1080/0042098032000136192
   Li J, 2024, INTER-ASIA CULT STUD, V25, P458, DOI 10.1080/14649373.2024.2311534
   Li XF, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413661
   Lim Y, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11164400
   Lindner C, 2015, SPACE CULT, V18, P4, DOI 10.1177/1206331213509914
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   Mathews V, 2010, GEOGR COMPASS, V4, P660, DOI 10.1111/j.1749-8198.2010.00331.x
   Matthews T, 2022, CITIES, V127, DOI 10.1016/j.cities.2022.103747
   McAuliffe C, 2012, J URBAN AFF, V34, P189, DOI 10.1111/j.1467-9906.2012.00610.x
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Michel B, 2024, CITIES, V150, DOI 10.1016/j.cities.2024.104983
   Molnár V, 2018, POETICS, V71, P43, DOI 10.1016/j.poetic.2018.09.006
   Ochoa R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020985
   Olishevska YA, 2022, J GEOL GEOGR GEOECOL, V31, P120, DOI 10.15421/112212
   Olsen CS, 2013, INT J CULT POLICY, V19, P481, DOI 10.1080/10286632.2012.661420
   Ouzzani M, 2016, SYST REV-LONDON, V5, DOI 10.1186/s13643-016-0384-4
   Page M., 2021, BMJ, V372, pn71, DOI [10.1136/bmj.n71, DOI 10.1136/BMJ.N71]
   Palermo L, 2014, CAPITAL CULT, P521
   Pavoni Andrea, 2019, Horiz. antropol., V25, P51
   Peck J, 2005, INT J URBAN REGIONAL, V29, P740, DOI 10.1111/j.1468-2427.2005.00620.x
   Petroniene S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610063
   Mantiñán MJP, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020740
   Polo JF, 2015, EUR PLAN STUD, V23, P1511, DOI 10.1080/09654313.2013.819074
   Poposki Z, 2022, ARTS, V11, DOI 10.3390/arts11010029
   PRISMA., 2020, PRISMA 2020 flow diagram
   Qu M, 2023, J RURAL STUD, V97, P105, DOI 10.1016/j.jrurstud.2022.11.016
   Qu M, 2021, J SUSTAIN TOUR, V29, P1756, DOI 10.1080/09669582.2020.1856858
   Quaranta G, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247169
   Quinn B, 2005, URBAN STUD, V42, P927, DOI 10.1080/00420980500107250
   Rich MA, 2018, EDUC URBAN SOC, V50, P524, DOI 10.1177/0013124517713607
   Rivera García Sofía, 2023, Arquit. sur, V41, P70, DOI 10.22320/07196466.2023.41.063.04
   Romero-Lankao P, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121224
   Seresinhe CI, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160146
   Sharp J, 2005, URBAN STUD, V42, P1001, DOI 10.1080/00420980500106963
   Smith N., 1996, The new urban frontier: Gentrification and the revanchist city
   Son TH, 2023, SUSTAIN CITIES SOC, V94, DOI 10.1016/j.scs.2023.104562
   Tan R, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16093839
   Taylor J.K., 2018, City, Culture and Society, V14, P14, DOI [DOI 10.1016/J.CCS.2017.12.004, 10.1016/j.ccs.2017.12, DOI 10.1016/J.CCS.2017.12]
   Valjakka M, 2022, CRIT ASIAN STUD, V54, P348, DOI 10.1080/14672715.2022.2079540
   Valjakka M, 2015, CHINA INFORM, V29, P253, DOI 10.1177/0920203X15589535
   Vasilevska L., 2023, Facta Univ. Ser. Arch. Civ. Eng, V22, P97, DOI [10.2298/FUACE230630023V, DOI 10.2298/FUACE230630023V]
   Veitch M, 2017, INT J CAN STUD, V56
   Waclawek Anna., 2011, Graffiti and Street Art
   Wiberg S, 2022, URBAN PLAN, V7, P394, DOI 10.17645/up.v7i3.5367
   Winkler R, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030284
   Wissink B, 2022, SOC INCL, V10, P126, DOI 10.17645/si.v10i1.4895
   Zebracki M, 2018, CITIES, V77, P21, DOI 10.1016/j.cities.2017.04.015
   Zeng X., 2023, J. Smart Cities Soc, V2, P181, DOI [10.3233/SCS-230017, DOI 10.3233/SCS-230017]
   Zeng X., 2024, J. Smart Cities Soc, V3, P83, DOI [10.3233/SCS-240005, DOI 10.3233/SCS-240005]
   Zeng XY, 2022, COMM COM INF SC, V1465, P107, DOI 10.1007/978-981-19-1280-1_7
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zheng J, 2019, ASIAN EDUC DEV STUD, V8, P109, DOI 10.1108/AEDS-03-2017-0026
NR 107
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 MAR
PY 2025
VL 17
IS 5
AR 2076
DI 10.3390/su17052076
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 0BR7L
UT WOS:001443554700001
OA gold
DA 2025-04-22
ER

PT J
AU Townsend, DA
   Susnik, J
   van der Zaag, P
AF Townsend, Danneille A.
   Susnik, Janez
   van der Zaag, Pieter
TI Domestic Water Supply Vulnerability to Climate Change and the Role of
   Alternative Water Sources in Kingston, Jamaica
SO ATMOSPHERE
LA English
DT Article
DE alternative water supply; climate change; domestic water supply;
   rainwater harvesting; sustainability; vulnerability
ID SECURITY
AB Globally, freshwater resources are threatened, resulting in challenges for urban water supply and management. Climate change, population growth, and urbanization have only exacerbated this crisis. For the Caribbean, climate change through the impact of increasing temperatures and rainfall variability has resulted in more frequent and intense episodes of disasters including droughts and floods which have impaired the quantity and quality of freshwater supplies. Using Caribbean-specific climate forecasting, it is shown that rainfall totals in Kingston, Jamaica, are expected to reduce by 2030 and 2050 under two RCPs. In addition, the timing of the primary rainy season is expected to shift, potentially impacting water supply security. Analysis of the potential of rainwater harvesting (RWH) to augment supply and enhance water supply resilience shows that in two communities studied in Kingston, it can contribute up to 7% of total water supply. Household storage requirements are about 1 m(3) per household, which is feasible. RWH offers the potential to contribute to climate change adaptation and mitigation measures at a household level. Policy, incentives, and increased awareness about the potential of RWH to meet non-potable household demand in Kingston must be improved, as well as efforts to reduce the currently unreasonably high levels of non-revenue water in order to move towards an integrated, sustainable, and climate-resilient urban water supply strategy for the city.
C1 [Townsend, Danneille A.; Susnik, Janez; van der Zaag, Pieter] IHE Delft Inst Water Educ, Land & Management Dept, POB 3015, NL-2601 DA Delft, Netherlands.
   [van der Zaag, Pieter] Delft Univ Technol TU Delft, Water Management Dept, NL-2628 CN Delft, Netherlands.
C3 IHE Delft Institute for Water Education; Delft University of Technology
RP Susnik, J (corresponding author), IHE Delft Inst Water Educ, Land & Management Dept, POB 3015, NL-2601 DA Delft, Netherlands.
EM danneille.townsend@gmail.com; j.susnik@un-ihe.org;
   p.vanderzaag@un-ihe.org
RI Susnik, Janez/T-6303-2017; van der Zaag, Pieter/B-8247-2008
OI Susnik, Janez/0000-0002-8814-0168; van der Zaag,
   Pieter/0000-0002-1215-2656; Townsend, Danneille/0000-0003-1278-5194
FU DUPC2; Dutch Ministry of Foreign Affairs; IHE Delft in the period
   2016-2020
FX This research was funded by DUPC2, the programmatic cooperation between
   the Directorate-General for International Cooperation of the Dutch
   Ministry of Foreign Affairs and IHE Delft in the period 2016-2020 for
   contribution towards research, fieldwork, and the writing of this
   manuscript.
CR [Anonymous], 2015, WAT SUST DEV
   Butler D., 2006, WATER DEMAND MANAGEM
   Campbell JD, 2011, INT J CLIMATOL, V31, P1866, DOI 10.1002/joc.2200
   Cashman A, 2014, WATER-SUI, V6, P1187, DOI 10.3390/w6051187
   Connor R., 2015, The United Nations World Water Development Report 2015: Water for A Sustainable World, V1
   Dadhich G, 2016, International Journal of Computer Science and Engineering Technology, V7, P129
   Ekwue E. I., 2010, W INDIAN J ENG, V32, P28
   FAO, 2019, Aquastat
   Jensen O, 2018, ENVIRON SCI POLICY, V83, P33, DOI 10.1016/j.envsci.2018.02.003
   Jussah O, 2020, J WATER CLIM CHANGE, V11, P130, DOI 10.2166/wcc.2018.117
   Karnauskas KB, 2016, NAT CLIM CHANGE, V6, P720, DOI [10.1038/NCLIMATE2987, 10.1038/nclimate2987]
   Kellagher R., 2015, ALTERNATIVE WATER SU
   Kenney DS, 2008, J AM WATER RESOUR AS, V44, P192, DOI 10.1111/j.1752-1688.2007.00147.x
   Kundzewicz ZW, 2008, HYDROLOG SCI J, V53, P3, DOI 10.1623/hysj.53.1.3
   Lester S., 2015, Caribbean Geography, V20, P74
   Lorey D.E., 2002, Global environmental challenges of the twenty-first century: Resources, consumption, and sustainable solutions No
   MEGJC, 2019, National Water Sector Policy and Implementation Plan
   Memon F A., 2015, Alternative water supply systems
   NWC, 2011, KINGST ST ANDR WAT S
   Planning Institute of Jamaica, 2018, JAMAICA VOLUNTARY NA
   Scalley Tamara Heartsill., 2012, Caribbean Studies, V40, P63
   Scobie M, 2016, ENVIRON SCI POLICY, V58, P16, DOI 10.1016/j.envsci.2015.12.008
   Sharma S., 2017, RAINWATER HARVESTING
   Sookram S., 2009, Caribbean Development Report, V2, P204
   STATIN, 2019, POP HOUS CENS
   Susnik J, 2017, ECON RES-EKON ISTRAZ, V30, P1705, DOI 10.1080/1331677X.2017.1383175
   Taylor M.A., 2012, Caribbean Studies, V40, P169
   Thayil-Blanchard J., 2015, ALTERNATIVE WATER SU
   UN OHRLLS, 2015, Small island developing states in numbers
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Water Project JA, 2018, HOM GUID WAT US EFF
NR 31
TC 2
Z9 2
U1 1
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD DEC
PY 2020
VL 11
IS 12
AR 1314
DI 10.3390/atmos11121314
PG 21
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA PJ3WY
UT WOS:000601703600001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Sweetapple, C
   Fu, GT
   Farmani, R
   Butler, D
AF Sweetapple, Chris
   Fu, Guangtao
   Farmani, Raziyeh
   Butler, David
TI General resilience: Conceptual formulation and quantitative assessment
   for intervention development in the urban wastewater system
SO WATER RESEARCH
LA English
DT Article
DE Adaptation; General resilience; Middle state; Specified resilience;
   Urban wastewater system
ID GLOBAL RESILIENCE; INFRASTRUCTURE; FRAMEWORK; STRATEGIES; QUALITY;
   MANAGEMENT
AB General resilience addresses the resilience of a water system to any threat including unknowns, in contrast to specified resilience to individual identified threats. However, quantification of general resilience is challenging and previous assessments have typically been qualitative or based on system properties that are assumed to be indicative of resilient performance. Here we present a General Resilience Assessment Methodology (GRAM), which uses a middle-state based approach to decompose general resilience into contributing components to provide a quantitative and performance-based resilience assessment. GRAM enables the accounting of the effects of any threat if all modes of system failure are identifiable. It is applied to an integrated urban wastewater system where five interventions are explored. The results obtained show that whilst substantial improvements in specified resilience are achieved, increasing the general resilience of the system is challenging. However, general resilience analysis enables identification of system failure modes to which level of service is least resilient and highlights key opportunities for intervention development. GRAM is beneficial as it can inform the development of interventions to increase the resilience of a system to unknowns such as unforeseeable natural hazards in a quantifiable manner.
C1 [Sweetapple, Chris; Fu, Guangtao; Farmani, Raziyeh; Butler, David] Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, North Pk Rd, Exeter EX4 4QF, Devon, England.
C3 University of Exeter
RP Fu, GT (corresponding author), Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, North Pk Rd, Exeter EX4 4QF, Devon, England.
EM g.fu@exeter.ac.uk
RI Fu, Guangtao/ABE-3874-2021; Farmani, Raziyeh/D-3457-2012;
   Gonzalez-Barrio, David/MHQ-7861-2025; Sweetapple, Chris/GQQ-1426-2022
FU UK Engineering & Physical Sciences Research Council [EP/K006924/1];
   Royal Society Industry fellowship [IF160108]; Royal Academy of
   Engineering [IF\192057]; EPSRC [EP/K006924/1] Funding Source: UKRI
FX This work was supported by the UK Engineering & Physical Sciences
   Research Council through a 5-year fellowship for the last author
   (EP/K006924/1) , the Royal Society Industry fellowship (IF160108) and
   the Royal Academy of Engineering (IF\192057).
CR [Anonymous], 2015, RES TASK FIN GROUP
   [Anonymous], 2015, Transformation Investments and Business Impacts Version 0.2, DOI DOI 10.1007/S11069-014-1328-8
   Astaraie-Imani M, 2012, J ENVIRON MANAGE, V112, P1, DOI 10.1016/j.jenvman.2012.06.039
   Australian Government, 2010, CRITICAL INFRASTRUCT
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Butler D, 2005, ENVIRON MODELL SOFTW, V20, P415, DOI 10.1016/j.envsoft.2004.02.003
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Carpenter SR, 2012, SUSTAINABILITY-BASEL, V4, P3248, DOI 10.3390/su4123248
   Casal-Campos A, 2015, ENVIRON SCI TECHNOL, V49, P8307, DOI 10.1021/es506144f
   Cork S., 2011, REPORT PREPARED AUST
   Defra, 2014, Water Framework Directive Implementation in England and Wales: New and Updated Standards to Protect the Water Environment
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Fu GT, 2008, ENVIRON MODELL SOFTW, V23, P225, DOI 10.1016/j.envsoft.2007.06.003
   Fu GT, 2009, SCI TOTAL ENVIRON, V407, P1257, DOI 10.1016/j.scitotenv.2008.10.033
   Government of Canada, 2013, BUILDING RESILIENCE
   Henze M., 2000, 8 IWA
   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
   IFAK, 2009, SIMB 6 0 US GUID
   IWA, 2021, CLIM SMART WAT ROAD
   Johnson I., 2007, SC040038SR2 ENV AG
   Labaka L, 2016, TECHNOL FORECAST SOC, V103, P21, DOI 10.1016/j.techfore.2015.11.005
   Labaka L, 2015, RELIAB ENG SYST SAFE, V141, P92, DOI 10.1016/j.ress.2015.03.009
   Lau J., 2002, URBAN WAT, V4, P181, DOI [DOI 10.1016/S1462-0758(02)00013-4, 10.1016/S1462-0758%4002%4100013-4]
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   LESSARD P, 1993, WATER RES, V27, P963, DOI 10.1016/0043-1354(93)90060-U
   Liu DD, 2012, WATER RESOUR MANAG, V26, P3743, DOI 10.1007/s11269-012-0100-7
   Meng F, 2018, WATER RES, V143, P376, DOI 10.1016/j.watres.2018.06.048
   Miller F, 2010, ECOL SOC, V15
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   NASH JE, 1959, J GEOPHYS RES, V64, P111, DOI 10.1029/JZ064i001p00111
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Rauch W, 1999, WATER RES, V33, P1265, DOI 10.1016/S0043-1354(98)00304-2
   Salerno F, 2018, WATER RES, V144, P491, DOI 10.1016/j.watres.2018.07.058
   Schutze M., 2002, Modelling, simulation and control of urban wastewater systems
   Shirali GA, 2013, RELIAB ENG SYST SAFE, V119, P88, DOI 10.1016/j.ress.2013.05.003
   Sukias JPS, 2018, WATER RES, V139, P450, DOI 10.1016/j.watres.2018.04.010
   Sweetapple C, 2018, WATER RES, V147, P1, DOI 10.1016/j.watres.2018.09.032
   USEPA, 2021, DRINK WAT WAST RES
   Vugrin ED, 2011, PROCESS SAF PROG, V30, P280, DOI 10.1002/prs.10437
   Walker B., 2012, RESILIENCE PRACTICE
   Walker B., 2006, Resilience Practice: Building Capacity to Absorb Disturbance and Maintain Function
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Woolley O., 2014, Ecological Governance: Reappraising Law's Role in Protecting Ecosystem Functionality
   Yazdani A, 2011, ENVIRON MODELL SOFTW, V26, P1574, DOI 10.1016/j.envsoft.2011.07.016
   Zacharof AI, 2004, J HYDROL, V299, P349, DOI [10.1016/S0022-1694(04)00376-2, 10.1016/j.jhydrol.2004.08.015]
   Zhang DZ, 2021, WATER RES, V188, DOI 10.1016/j.watres.2020.116475
   Zhang QZ, 2020, WATER RES, V172, DOI 10.1016/j.watres.2020.115527
NR 50
TC 18
Z9 18
U1 4
U2 97
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 MAR 1
PY 2022
VL 211
AR 118108
DI 10.1016/j.watres.2022.118108
EA JAN 2022
PG 11
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA ZE2JC
UT WOS:000758713600002
PM 35074574
OA Green Accepted, hybrid
DA 2025-04-22
ER

PT J
AU Duo, LH
   Li, YA
   Zhang, M
   Zhao, YX
   Wu, ZH
   Zhao, DX
AF Duo, Linghua
   Li, Yanan
   Zhang, Ming
   Zhao, Yuxi
   Wu, Zhenhua
   Zhao, Dongxue
TI Spatiotemporal Pattern Evolution of Urban Ecosystem Resilience Based on
   "Resistance-Adaptation-Vitality": A Case Study of Nanchang City
SO FRONTIERS IN EARTH SCIENCE
LA English
DT Article
DE ecological resilience; spatial-temporal pattern evolution; landscape
   patterns; integrated assessment; Nanchang city
ID HEALTH; FRAMEWORK; MODEL
AB With the rapid development of the economy and society in recent years, the ecological environment has deteriorated significantly. The governments at all levels, departments, and relevant scholars have begun to pay attention to urban ecological construction and research on urban disaster prevention and mitigation. The concept of resilience has gained widespread attention in this context. However, at present, urban ecological resilience research is still in its infancy, and there are many qualitative but few quantitative studies in terms of assessment methods. This study explores the complex dynamic evolution mechanism of urban ecosystem resilience based on the three resilience characteristics and selects Nanchang, an important ecological barrier in the middle and lower reaches of the Yangtze River and a model area for integrated management of the Great Lakes basin, as an assessment target. This study establishes a quantitative measurement and evaluation framework for urban ecological resilience in three dimensions (resistance, adaptation, and vitality) and conducts a comprehensive evaluation of urban ecosystem resilience. The results show that the trend of land-use change from 1990 to 2020 is mainly characterized by the continuous decrease in arable land and ecological land (forestland, grassland, and water) and the continuous increase in construction land, among which the land-use dynamic attitude of construction land is the largest, reaching 5.33% from 1990 to 2005. During the study period, the overall ecosystem resilience of Nanchang showed a gradual decline and was always at a moderate-to-low level, with a long-term distribution pattern of "low in the middle and high in the surrounding areas" and clear spatial heterogeneity. This study helps clarify the security status of the regional ecosystem and provides a reference for exploring the complex dynamic evolution mechanism of ecological resilience.
C1 [Duo, Linghua] East China Univ Technol, Jiangxi Ecol Civilizat Construct Syst Res Ctr, Nanchang, Peoples R China.
   [Duo, Linghua; Li, Yanan; Zhang, Ming; Zhao, Yuxi] East China Univ Technol, Fac Geomat, Nanchang, Peoples R China.
   [Duo, Linghua] Minist Nat Resources, Key Lab Mine Environm Monitoring & Improving Poyan, Nanchang, Peoples R China.
   [Wu, Zhenhua] China Univ Min & Technol, Sch Econ & Management, Xuzhou, Peoples R China.
   [Zhao, Dongxue] Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld, Australia.
C3 East China University of Technology; East China University of
   Technology; Ministry of Natural Resources of the People's Republic of
   China; China University of Mining & Technology; University of Queensland
RP Zhao, DX (corresponding author), Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld, Australia.
EM zhaodx08@gmail.com
RI WU, ZHEN/GRN-7688-2022; Li, Yanan/ABL-1507-2022; Zhao,
   Dongxue/ABF-6737-2020
OI , Li/0000-0002-6321-2567; Zhao, Dongxue/0000-0003-2599-1392
CR Abdrabo MA, 2015, URBAN CLIM, V14, P554, DOI 10.1016/j.uclim.2015.09.005
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Bai L., 2019, Master's Thesis, DOI [10.27011/d.cnki.gdbsu.2019.000089, DOI 10.27011/D.CNKI.GDBSU.2019.000089]
   Bozza A, 2017, COMPUT-AIDED CIV INF, V32, P527, DOI 10.1111/mice.12275
   [陈万旭 Chen Wanxu], 2022, [生态学报, Acta Ecologica Sinica], V42, P138
   [陈妍 Chen Yan], 2016, [北京大学学报. 自然科学版, Acta Scientiarum Naturalium Universitatis Pekinensis], V52, P553
   Chen Y, 2022, BUILD ENVIRON, V216, DOI 10.1016/j.buildenv.2022.109000
   Chu Lin, 2018, Yingyong Shengtai Xuebao, V29, P4106, DOI 10.13287/j.1001-9332.201812.013
   Feng X.H., 2015, WORLD REG STUD, V24, P100, DOI [10.3969/j.issn.1004-9479.2015.03.012, DOI 10.3969/J.ISSN.1004-9479.2015.03.012]
   Gimenez R, 2017, TECHNOL FORECAST SOC, V121, P7, DOI 10.1016/j.techfore.2016.08.001
   Gong Jie, 2014, Yingyong Shengtai Xuebao, V25, P2041
   He BJ, 2022, RENEW SUST ENERG REV, V161, DOI 10.1016/j.rser.2022.112350
   He BJ, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103361
   He BJ, 2018, HABITAT INT, V82, P83, DOI 10.1016/j.habitatint.2018.10.001
   He Y, 2017, WORLD ARCHIT, V4, P24, DOI [10.16414/j.wa.2017.04.004, DOI 10.16414/J.WA.2017.04.004]
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   [黄木易 Huang Muyi], 2020, [生态学报, Acta Ecologica Sinica], V40, P2895
   [金贵 Jin Gui], 2018, [地理学报, Acta Geographica Sinica], V73, P1242
   LIU CF., 2018, Acta Ecologica Sinica, V38, DOI [10.5846/stxb201710101800, DOI 10.5846/stxb201710101800]
   Liu Z., 2014, THESIS, P79
   Luedeling E, 2008, REMOTE SENS ENVIRON, V112, P1181, DOI 10.1016/j.rse.2007.08.007
   MA K.M., 2001, ACTA ECOL SIN, V21, P2106
   Manyena SB, 2006, DISASTERS, V30, P433
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Ou W.X., 2018, CHIN J POPUL RESOUR, V28, P84, DOI DOI 10.27244/D.CNKI.GNJNU.2018.000040
   [欧维新 Ou Weixin], 2014, [水土保持研究, Research of Soil and Water Conservation], V21, P274
   Peng J, 2015, LANDSCAPE URBAN PLAN, V143, P56, DOI 10.1016/j.landurbplan.2015.06.007
   Ren H., 2000, TROP GEOGR, V20, P310
   Ren JY, 2022, J CLEAN PROD, V340, DOI 10.1016/j.jclepro.2022.130744
   [荣月静 Rong Yuejing], 2016, [水土保持研究, Research of Soil and Water Conservation], V23, P82
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   TURNER MG, 1989, ANNU REV ECOL SYST, V20, P171, DOI 10.1146/annurev.es.20.110189.001131
   Wu Jian-sheng, 2015, Yingyong Shengtai Xuebao, V26, P3457
   [夏楚瑜 Xia Chuyu], 2022, [生态学报, Acta Ecologica Sinica], V42, P116
   [谢花林 XIE Hualin], 2008, [地理研究, Geographical Research], V27, P294
   Xie P, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103746
   [修春亮 Xiu Chunliang], 2018, [地理学报, Acta Geographica Sinica], V73, P2315
   Yang J, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103045
   Yang J, 2019, URBAN CLIM, V28, DOI 10.1016/j.uclim.2019.100458
   Ypa B., 2020, SPATIAL VARIABILITY, P746
   Yu HS, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103800
   Yuan Mao-ning, 2019, Shengtaixue Zazhi, V38, P1249, DOI 10.13292/j.1000-4890.201904.026
   [张小飞 Zhang Xiaofei], 2011, [生态学报, Acta Ecologica Sinica], V31, P6204
   Zhao ZQ, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13214338
   [郑宇 Zheng Yu], 2018, [中国农业资源与区划, Journal of China Agricultural Resources and Regional Planning], V39, P121
   Zhong LiNa Zhong LiNa, 2017, Transactions of the Chinese Society of Agricultural Engineering, V33, P250
NR 46
TC 17
Z9 19
U1 30
U2 154
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
J9 FRONT EARTH SC-SWITZ
JI Front. Earth Sci.
PD MAY 10
PY 2022
VL 10
AR 902444
DI 10.3389/feart.2022.902444
PG 20
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA 1P8SS
UT WOS:000802274100001
OA gold
DA 2025-04-22
ER

PT J
AU Sharma, SE
AF Sharma, Sarah E.
TI Urban flood resilience: Governing conflicting urbanism and climate
   action in Amsterdam
SO REVIEW OF INTERNATIONAL POLITICAL ECONOMY
LA English
DT Article
DE resilience; climate change; neoliberal urbanism; urban governance;
   flooding; scale; Amsterdam
ID RE-SCALING IPE; POLITICAL-ECONOMY; ENVIRONMENTAL GOVERNANCE; RISK;
   NEOLIBERALIZATION; GLOBALIZATION; RACIALIZATION; GEOGRAPHIES;
   UNCERTAINTY; NETHERLANDS
AB Amsterdam Rainproof emerged in 2014 to manage the risks posed by a novel environmental hazard threatening European cities: pluvial flooding, locally called cloudbursts. Amsterdam Rainproof's primary policy goal is to enhance Amsterdam's resilience to pluvial flooding. This paper examines the emergence of climate resilience and its execution on the ground in Amsterdam. In so doing, I draw on tools from economic geography - including the role of urban space and inter-scalar state restructuring - to contribute to debates in International Political Economy and the Environment (IPEE) on the relationship between resilience and neoliberal urbanism in global capitalism. I argue that there are inherent tensions between the rhetoric of sustainable urbanization put forth by Amsterdam Rainproof and its reality on the ground, namely that it ineffectively adapts urban spaces to increasing and unpredictable flooding while attempting to manage forms of capital accumulation at the urban scale.
C1 [Sharma, Sarah E.] Univ Toronto, Dept Polit Sci, Scarborough, ON, Canada.
   [Sharma, Sarah E.] Univ Victoria, Dept Polit Sci, Victoria, BC, Canada.
C3 University of Toronto; University Toronto Scarborough; University of
   Victoria
RP Sharma, SE (corresponding author), Univ Toronto, Dept Polit Sci, Scarborough, ON, Canada.; Sharma, SE (corresponding author), Univ Victoria, Dept Polit Sci, Victoria, BC, Canada.
EM sesharma@uvic.ca
FU Social Sciences and Humanities Research Council of Canada
FX Social Sciences and Humanities Research Council of Canada.
CR Aalbers M. B., 2008, ROOIIJN, V41, P58
   Aalbers MB, 2017, INT J URBAN REGIONAL, V41, P572, DOI 10.1111/1468-2427.12520
   Al-Kassimi K., 2019, Ottawa Law Rev., DOI [10.18192/potentia.v18110i18190.14509, DOI 10.18192/POTENTIA.V18110I18190.14509]
   Amsterdam Rainproof, 2014, PROGR AMST RAINPR AM
   [Anonymous], 2016, The Neoliberal Subject
   [Anonymous], 2018, OECD Regions and Cities at a Glance 2018, DOI DOI 10.1787/REG_CIT_GLANCE-2018-EN
   Bakker I, 2003, POWER, PRODUCTION AND SOCIAL REPRODUCTION: HUMAN IN/SECURITY IN THE GLOBAL POLITICAL ECONOMY, P66
   Bernards N, 2021, GLOB PERSPECT-US, V2, DOI 10.1525/gp.2021.23665
   Bernstein S., 2002, Global Environmental Politics, V2, P1, DOI [10.1162/152638002320310509, DOI 10.1162/152638002320310509]
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Boffey Daniel., 2019, The Guardian
   Bonds A, 2018, URBAN GEOGR, V39, P1285, DOI 10.1080/02723638.2018.1462968
   BOURBEAU P, 2018, RESILIENCE GENEALOGY, P1
   BRASSETT J, 2018, RIPE SER GLOB POLIT, P1
   Brenner N., 2015, City, V19, P151, DOI 10.1080/13604813.2015.1014712
   Brenner N, 2010, GLOBAL NETW, V10, P182, DOI 10.1111/j.1471-0374.2009.00277.x
   Brenner Neil., 2004, New State Spaces: Urban Governance and the Rescaling of Statehood
   Brown Katrina., 2016, RESILIENCE DEV GLOBA
   Buckley M, 2016, ENVIRON PLANN D, V34, P617, DOI 10.1177/0263775816628872
   Bulkeley H, 2005, POLIT GEOGR, V24, P875, DOI 10.1016/j.polgeo.2005.07.002
   Bulkeley H, 2018, URBAN STUD, V55, P702, DOI 10.1177/0042098016663836
   Castree N, 2008, ENVIRON PLANN A, V40, P131, DOI 10.1068/a3999
   Chandler D, 2013, POLITICS-OXFORD, V33, P276, DOI 10.1111/1467-9256.12009
   Chiew FHS, 2014, STOCH ENV RES RISK A, V28, P3, DOI 10.1007/s00477-013-0755-5
   City of Amsterdam, 2024, Circular Economy
   City of Amsterdam, 2020, POL PHAS OUT NAT GAS
   City of Amsterdam, 2020, AMST CIRC 2020 2025
   Clapp J, 2012, INT AFF, V88, P485, DOI 10.1111/j.1468-2346.2012.01085.x
   Cohen A, 2015, PROG HUM GEOG, V39, P3, DOI 10.1177/0309132514521483
   Cohen A, 2014, ENVIRON PLANN D, V32, P128, DOI 10.1068/d0813
   Dai LP, 2018, INT J WATER RESOUR D, V34, P652, DOI 10.1080/07900627.2017.1372273
   de Graaf R, 2010, TECHNOL FORECAST SOC, V77, P1282, DOI 10.1016/j.techfore.2010.03.011
   de Koning A, 2015, ANTIPODE, V47, P1203, DOI 10.1111/anti.12150
   Duffield M, 2012, SECUR DIALOGUE, V43, P475, DOI 10.1177/0967010612457975
   Engelen E, 2007, ENVIRON PLANN A, V39, P1306, DOI 10.1068/a38208
   Felli Romain., 2016, RES POLITICAL EC, V31, P267
   Gahman L, 2020, T I BRIT GEOGR, V45, P763, DOI 10.1111/tran.12369
   Gemeente Amsterdam, 2020, BEGR 2021
   Gill S, 1995, MILLENNIUM-J INT ST, V24, P399, DOI 10.1177/03058298950240030801
   Gordon DJ, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.546
   Gordon DJ, 2017, ENVIRON POLIT, V26, P694, DOI 10.1080/09644016.2017.1320829
   Green D.P., 2004, GET OUT VOTE INCREAS
   Green Hilary., 2016, Educational Reconstruction: African American Schools in the Urban South
   Grove Kevin., 2018, Resilience
   Harvey D., 2001, SPACES CAPITAL
   Harvey David., 2010, ENIGMA CAPITAL CRISE
   Harvey David., 1989, URBAN EXPERIENCE
   Hirsch P., 2006, Journal of Environment & Development, V15, P184, DOI 10.1177/1070496506288221
   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
   Ivens L., 2019, HOT PROPERTY HOUSING, P121
   Jacobs JM, 2012, PROG HUM GEOG, V36, P412, DOI 10.1177/0309132511421715
   Jessop Bob., 2001, INT REV SOCIOL, V11, P149, DOI DOI 10.1080/713674035
   Kadi J, 2015, TIJDSCHR ECON SOC GE, V106, P246, DOI 10.1111/tesg.12101
   Kapetas, 2021, RESILIOS J 2 PLANNIN
   Kapper, 2017, ZUIDAS AMSTERDAM RAI
   Keil R, 1998, REV INT POLIT ECON, V5, P616, DOI 10.1080/096922998347408
   Kimmelman Michael., 2017, The New York Times
   Kluck J., 2015, PAPER PRESENTED AMST
   Kuzemko C, 2019, REV INT POLIT ECON, V26, P80, DOI 10.1080/09692290.2018.1527239
   Lawson E., 2014, Flood Recovery, Innovation and Response IV, V184, P113, DOI [DOI 10.2495/FRIAR140101, 10.2495/FRIAR140101]
   LeBaron G, 2010, REV INT POLIT ECON, V17, P889, DOI 10.1080/09692290903573914
   Lefebvre Henri., 2003, The Urban Revolution
   Locher, 2016, STRADSBREDE EC ILLUS
   Macartney H, 2011, J INT RELAT DEV, V14, P375, DOI 10.1057/jird.2011.9
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Marx Karl., 1990, Capital, V1
   McVeigh T., 2014, The Guardian
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Merrifield A, 2013, INT J URBAN REGIONAL, V37, P909, DOI 10.1111/j.1468-2427.2012.01189.x
   Mikulewicz M, 2020, NEW POLIT ECON, V25, P626, DOI 10.1080/13563467.2019.1625317
   Mosse David., 2011, Adventures in Aidland: The Anthropology of Professionals in International Development
   Mostert E., 2017, Water History, V9, P129, DOI 10.1007/s12685-016-0154-1
   Nunn A, 2020, REV INT POLIT ECON, V27, P949, DOI 10.1080/09692290.2019.1625424
   O'Donnell E, 2020, BLUE-GREEN SYST, V2, P28, DOI 10.2166/bgs.2019.199
   OECD, 2017, GOV LAND US NETH CAS
   Paterson M., 2001, GLOBAL ENVIRON POLIT, V1, P10, DOI DOI 10.1162/152638001750336550
   Paterson M, 2021, REV INT POLIT ECON, V28, P394, DOI 10.1080/09692290.2020.1830829
   Paul DE, 2002, REV INT POLIT ECON, V9, P465, DOI 10.1080/09692290210150680
   Peck J, 2002, ANTIPODE, V34, P380, DOI 10.1111/1467-8330.00247
   Peck J, 2002, ECON GEOGR, V78, P331, DOI 10.2307/4140813
   Peck J, 2013, INT J URBAN REGIONAL, V37, P1091, DOI 10.1111/1468-2427.12066
   Peck J, 2012, INT J URBAN REGIONAL, V36, P462, DOI 10.1111/j.1468-2427.2011.01071.x
   Peck Jamie., 2009, SAIS Review, VXXIX, P49, DOI [DOI 10.1353/SAIS.0.0028, 10.1353/sais.0.0028]
   Potter K, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0206
   Ranganathan M, 2021, ANTIPODE, V53, P115, DOI 10.1111/anti.12555
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Roth D, 2007, TIJDSCHR ECON SOC GE, V98, P519, DOI 10.1111/j.1467-9663.2007.00419.x
   Sassen Saskia, 1991, GLOBAL CITY
   Savini F, 2017, ENVIRON PLANN A, V49, P857, DOI 10.1177/0308518X16684520
   Savini F, 2016, CITIES, V52, P103, DOI 10.1016/j.cities.2015.11.017
   Sharma S, 2020, REV INT POLIT ECON, V27, P828, DOI 10.1080/09692290.2019.1640125
   Sharma SE, 2021, NEW POLIT ECON, V26, P1078, DOI 10.1080/13563467.2021.1899152
   Soederberg S., 2021, Urban Displacements. Governing Surplus and Survival in Global Capitalism
   Spekkers M, 2017, NAT HAZARD EARTH SYS, V17, P1337, DOI 10.5194/nhess-17-1337-2017
   Stafford P., 2021, FINANC TIMES
   Swyngedouw E., 2004, Cambridge Review of International Affairs, V17, P25, DOI [DOI 10.1080/0955757042000203632, 10.1080/0955757042000203632]
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   van Apeldoorn B, 2009, CONTRADICTIONS AND LIMITS OF NEOLIBERAL EUROPEAN GOVERNANCE: FROM LISBON TO LISBON, P211
   Van Der Hoek J.P., 2011, Journal of Environmental Science and Engineering, V5, P533
   van der Hoek JP, 2014, J WATER CLIM CHANGE, V5, P61, DOI 10.2166/wcc.2013.060
   van Gent WPC, 2013, INT J URBAN REGIONAL, V37, P503, DOI 10.1111/j.1468-2427.2012.01155.x
   van Rijswick M., 2015, MAGAZINE H2O
   van Zoelen B., 2021, Het Parool
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Waternet, 2018, Amsterdam Rainproof
   Waternet, 2016, GEM RIOL AMST 2016 2
   Watson I, 2019, NEW POLIT ECON, V24, P441, DOI 10.1080/13563467.2018.1457020
   Watts Michael., 2011, DIALOGUES HUM GEOGR, V1, P84, DOI DOI 10.1177/2043820610386340
   Webber S, 2020, ANN AM ASSOC GEOGR, V111, P343, DOI 10.1080/24694452.2020.1774349
   Wigger A, 2021, GEOFORUM, V126, P451, DOI 10.1016/j.geoforum.2020.10.007
   WRI UNDP UNEP & World Bank, 2008, WORLD RES ROOTS RES
   Zemmelink G., 1999, 10 INT S OUTCOME PER
NR 113
TC 7
Z9 7
U1 4
U2 27
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0969-2290
EI 1466-4526
J9 REV INT POLIT ECON
JI Rev. Int. Polit. Econ.
PD JUL 4
PY 2023
VL 30
IS 4
BP 1413
EP 1435
DI 10.1080/09692290.2022.2100449
EA JUL 2022
PG 23
WC Economics; International Relations; Political Science
WE Social Science Citation Index (SSCI)
SC Business & Economics; International Relations; Government & Law
GA L9DW8
UT WOS:000837659100001
DA 2025-04-22
ER

PT J
AU Varzeshi, S
   Fien, J
   Irajifar, L
AF Varzeshi, Shabnam
   Fien, John
   Irajifar, Leila
TI Integrating Technology and Urban Resilience: A Comprehensive Analysis of
   Smart City Initiatives in Sydney
SO SUSTAINABILITY
LA English
DT Article
DE data-driven urban development; Digital Twins; environmental
   sustainability; smart cities; stakeholder engagement; urban resilience
ID CITIES
AB This study explores the integration of smart city and resilience strategies in Sydney, focusing on the relationship between technological advancements and urban resilience. By analysing strategic documents and key projects-specifically the NSW Spatial Digital Twin, Land iQ, and SIMPaCT-this research identifies important synergies and gaps in Sydney's urban planning efforts. The findings indicate that these projects improve urban functionality through real-time data integration, predictive planning, and adaptive infrastructure. However, there are inconsistencies between strategic objectives and actual implementation, particularly concerning stakeholder inclusivity and equity considerations. The study concludes that utilising technologies such as the Internet of Things (IoT) and artificial intelligence (AI), along with equitable stakeholder engagement, has the potential to significantly enhance Sydney's ability to address environmental, social, and economic challenges. These insights offer practical recommendations for policymakers and urban planners who aim to balance innovation with inclusivity in smart city development.
C1 [Varzeshi, Shabnam; Fien, John; Irajifar, Leila] RMIT Univ, Sch Architecture & Urban Design, Melbourne 3000, Australia.
C3 Royal Melbourne Institute of Technology (RMIT)
RP Fien, J (corresponding author), RMIT Univ, Sch Architecture & Urban Design, Melbourne 3000, Australia.
EM s3941055@student.rmit.edu.au; john.fien@rmit.edu.au;
   leila.irajifar@rmit.edu.au
RI Fien, John/AAX-7700-2020
OI Varzeshi, Shabnam/0000-0002-5764-0370; Fien, John/0000-0002-1981-1925
CR Adi bhaskara Julio, 2022, HCI International 2022 - Late Breaking Posters: 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, Proceedings. Communications in Computer and Information Science (1655), P589, DOI 10.1007/978-3-031-19682-9_74
   Ahvenniemi H, 2017, CITIES, V60, P234, DOI 10.1016/j.cities.2016.09.009
   Al-Badi A., 2020, P REIM DIFF AD INF T, P230
   Al-Mujahed L.K.A., 2024, J. Sustain. Econ, V1
   Angelidou M, 2015, CITIES, V47, P95, DOI 10.1016/j.cities.2015.05.004
   [Anonymous], 2018, Resilient Sydney - A strategy for city resilience 2018
   [Anonymous], 2020, SmartCitiesWorld City Profile: Sydney
   [Anonymous], 100 resilient cities
   Baeyens An, 2015, Eur J Health Law, V22, P508
   Bailey K.D., 1994, QUANTITATIVE APPL SO, DOI DOI 10.4135/9781412986397
   Bibri SE, 2019, J BIG DATA-GER, V6, DOI 10.1186/s40537-019-0182-7
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Breuer J, 2021, INFORM COMMUN SOC, V24, P797, DOI 10.1080/1369118X.2021.1909095
   Bryman A., 2016, Social research methods
   Chourabi H., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P2289, DOI 10.1109/HICSS.2012.615
   City of Sydney, 2020, Smart City Strategic Framework
   Dowling R, 2019, URBAN POLICY RES, DOI 10.1080/08111146.2019.1674647
   Echebarria C, 2021, INNOVATION-ABINGDON, V34, P159, DOI 10.1080/13511610.2020.1785277
   Emrouzeh M.P., 2020, Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications: Emerging Technologies for Connected and Smart Social Objects, P77
   Fagerberg J, 2020, J IND COMPET TRADE, V20, P279, DOI 10.1007/s10842-019-00332-1
   Fairclough N, 2013, CRIT POLICY STUD, V7, P177, DOI 10.1080/19460171.2013.798239
   Fariniuk T.M.D., 2023, Urban Resilience: Methodologies, Tools and Evaluation: Theory and Practice
   Goodman N, 2020, CAN GEOGR-GEOGR CAN, V64, P416, DOI 10.1111/cag.12607
   Government N., NSW Spatial Digital Twin
   Government N., 2023, Smart Irrigation Management for Parks and Cool Towns (SIMPaCT)
   Gracias JS, 2023, SMART CITIES-BASEL, V6, P1719, DOI 10.3390/smartcities6040080
   Hassebo A, 2023, IOT-BASEL, V4, P366, DOI 10.3390/iot4030017
   Höjer M, 2015, ADV INTELL SYST, V310, P333, DOI 10.1007/978-3-319-09228-7_20
   Iyer S.K., 2024, Int. J. Soc. Anal, V9, P1
   Khatibi H, 2022, ENVIRON PLAN B-URBAN, V49, P1556, DOI 10.1177/23998083221092422
   Kitchin R, 2014, GEOJOURNAL, V79, P1, DOI 10.1007/s10708-013-9516-8
   Krippendorff K., 2018, Content Analysis: an Introduction to its Methodology
   Kufeoglu S, 2022, Emerging Technologies: Value Creation for Sustainable Development, P385
   Kuguoglu BK, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112295
   Lee J, 2023, INT J URBAN SCI, V27, P75, DOI 10.1080/12265934.2022.2074076
   Martin CJ, 2018, TECHNOL FORECAST SOC, V133, P269, DOI 10.1016/j.techfore.2018.01.005
   Martin G.T., 2020, Struggles and Successes in the Pursuit of Sustainable Development, P34
   McQuire S, 2021, INT J E-PLAN RES, V10, P1, DOI 10.4018/IJEPR.20210701.oa1
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mora L, 2019, TECHNOL FORECAST SOC, V142, P70, DOI 10.1016/j.techfore.2018.07.035
   Mortaheb R, 2023, J URBAN MANAG, V12, P4, DOI 10.1016/j.jum.2022.08.001
   Naguib I M., 2022, International Journal of Sustainable Development and Planning, V17, P2621, DOI DOI 10.18280/IJSDP.170831
   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]
   NSW P.a.D, Land iQ
   Olaniyi O.O., 2023, Advancing data-driven decisionmaking in smart cities through big data analytics: A comprehensive review of existing literature, V42, P10, DOI 10.9734/cjast/2023/v42i254181
   Papadopoulou C.-A., 2021, Smart Cities and the UN SDGs, P45
   Petit E.P., 2022, Smart Cities Policies and Financing, P377, DOI 10.1016/b978-0-12-819130-9.00001-2
   Scholl H.J., 2014, P ICONFERENCE 2014 P
   Sharifi A, 2024, CITIES, V146, DOI 10.1016/j.cities.2023.104659
   Sharifi A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13148018
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Shelton T, 2015, CAMB J REG ECON SOC, V8, P13, DOI 10.1093/cjres/rsu026
   Sivarethinamohan R., 2024, Digital Twin and Blockchain for Smart Cities, P605
   Tomàs M, 2024, URBAN RES PRACT, V17, P588, DOI 10.1080/17535069.2023.2277205
   Vaidya G., 2021, Security and Privacy Applications for Smart City Development, V308, P3, DOI DOI 10.1007/978-3-030-53149-21
   van Heerden Q, 2022, TRANSPORT POLICY, V120, P104, DOI 10.1016/j.tranpol.2022.03.007
   Wood T., 2023, P EGU GEN ASS C VIEN, pEGU15799, DOI [10.5194/egusphere-egu23-15799, DOI 10.5194/EGUSPHERE-EGU23-15799]
   Yigitcanlar T, 2015, AUST PLAN, V52, P27, DOI 10.1080/07293682.2015.1019752
   Yin R. K., 2018, Case study research and applications: Design and methods, V6th
NR 59
TC 0
Z9 0
U1 11
U2 11
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 24
AR 10967
DI 10.3390/su162410967
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 Q8E5Y
UT WOS:001386943200001
OA gold
DA 2025-04-22
ER

PT J
AU Vitale, C
   Meijerink, S
   Moccia, FD
AF Vitale, Corinne
   Meijerink, Sander
   Moccia, Francesco Domenico
TI Urban flood resilience, a multi-level institutional analysis of planning
   practices in the Metropolitan City of Naples
SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
LA English
DT Article
DE Institutional analysis; multi-level governance; urban flood resilience;
   spatial planning; flood risk management
ID RISK-MANAGEMENT; CLIMATE-CHANGE; GOVERNANCE; IMPLEMENTATION; COMPLEXITY;
   FRAMEWORK; LESSONS; EUROPE
AB Due to increasing flood risks, urban planners and water managers are called to enhance urban flood resilience. The implementation of resilience measures requires coordination across levels of government. This study aims to unravel the complexity of implementing spatial strategies to enhance urban flood resilience in the Metropolitan City of Naples. The research is informed by the politicized Institutional Analysis and Development framework, which relates contextual variables, discourses, and institutions (formal\informal rules-in-use) to policy outcomes. This framework is used to explain the outcomes of decision-making in multiple nested action arenas on urban flood risk management policies. It is shown that closed decision-making processes that do not involve lower levels of government, limited monitoring and enforcement, and illegal practices lead to poor coordination across levels of government. This lack of coordination explains why floodplain occupancy continues, thus hampering the shift towards a risk-based approach in flood risk management.
C1 [Vitale, Corinne; Meijerink, Sander] Radboud Univ Nijmegen, Inst Management Res IMR, Nijmegen, Netherlands.
   [Moccia, Francesco Domenico] Univ Naples Federico II, Dept Architecture, Naples, Italy.
C3 Radboud University Nijmegen; University of Naples Federico II
RP Vitale, C (corresponding author), Radboud Univ Nijmegen, Inst Management Res IMR, Nijmegen, Netherlands.
EM c.vitale@fm.ru.nl
RI Moccia, Francesco/R-9106-2019; Vitale, Corinne/AAD-6837-2022; Meijerink,
   Sander/D-6490-2012
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alexander M, 2016, ENVIRON SCI POLICY, V64, P38, DOI 10.1016/j.envsci.2016.06.004
   [Anonymous], 2020, European Commission, Critical materials for strategic technologies and sectors in the EU - a foresight study, 2020 (2011/833/EU)
   Autorit├a┬a di Bacino del Sarno, 2003, RIV AUT BAC SARN LIB
   Autorit├a┬a di Bacino del Sarno, 2002, PIAN STRALC ASS IDR
   Autorit├a┬a di Bacino Regionale della Campania Centrale, 2015, PIAN STRALC ASS IDR
   Banca D'Italia., 2019, EC REG EC REG IT DIN
   Blomquist W, 2011, POLICY STUD J, V39, P1, DOI 10.1111/j.1541-0072.2011.00402.x
   Chiodelli F, 2019, INT J URBAN REGIONAL, V43, P497, DOI 10.1111/1468-2427.12745
   Clement F., 2008, THESIS NEWCASTLE U L
   Clement F, 2009, LAND USE POLICY, V26, P458, DOI 10.1016/j.landusepol.2008.06.003
   Clement F, 2010, POLICY SCI, V43, P129, DOI 10.1007/s11077-009-9100-8
   Cole D.H., 2014, SSRN Electronic Journal, DOI DOI 10.2139/SSRN.2471040
   Congleton RD, 2007, PUBLIC CHOICE, V132, P509, DOI 10.1007/s11127-007-9157-x
   Cowie GM, 2005, ENVIRON MODELL SOFTW, V20, P469, DOI 10.1016/j.envsoft.2004.02.006
   D'Alisa G, 2016, GLOBAL ENVIRON CHANG, V38, P230, DOI 10.1016/j.gloenvcha.2016.03.006
   De Leo D, 2017, CITIES, V60, P216, DOI 10.1016/j.cities.2016.09.002
   de Moel H, 2009, NAT HAZARD EARTH SYS, V9, P289, DOI 10.5194/nhess-9-289-2009
   Dieperink C., 2016, P NAIR EARTH SYST GO
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Driessen PPJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08921-210453
   Driessen PPJ, 2012, ENVIRON POLICY GOV, V22, P143, DOI 10.1002/eet.1580
   Duhr S, 2011, EUROPEAN SPATIAL PLANNING AND TERRITORIAL COOPERATION, P1
   EEA (European Environment Agency), 2013, FLOOD RISK EUR LONG
   Ek K., 2016, ANAL EVALUATING FLOO
   Ferry M, 2021, POLICY SOC, V40, P37, DOI 10.1080/14494035.2021.1934985
   Feyen L, 2012, CLIMATIC CHANGE, V112, P47, DOI 10.1007/s10584-011-0339-7
   Gibson CC, 2000, ECOL ECON, V32, P217, DOI 10.1016/S0921-8009(99)00092-0
   Guadagno, 2011, RIV GIURIDICA AMBIEN, V5, P699
   Hajer M.A., 1995, The Politics of Environmental Discourse: Ecological Modernization and the Policy Process
   Hartmann T, 2017, J FLOOD RISK MANAG, V10, P143, DOI 10.1111/jfr3.12101
   Hegger DLT, 2014, WATER RESOUR MANAG, V28, P4127, DOI 10.1007/s11269-014-0732-x
   Hegger Driessen, 2016, [No title captured]
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Howe J., 2004, Planning, Practice Research, V19, P415, DOI [10.1080/0269745052000343244, DOI 10.1080/0269745052000343244]
   Huntjens P, 2010, REG ENVIRON CHANGE, V10, P263, DOI 10.1007/s10113-009-0108-6
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Juhola S, 2016, INT J CLIM CHANG STR, V8, P338, DOI 10.1108/IJCCSM-03-2014-0030
   Klijn F, 2008, INT J RIVER BASIN MA, V6, P307, DOI 10.1080/15715124.2008.9635358
   Kreibich H, 2015, MITIG ADAPT STRAT GL, V20, P967, DOI 10.1007/s11027-014-9629-5
   Kundzewicz ZW, 2018, P NATL ACAD SCI USA, V115, P12321, DOI 10.1073/pnas.1818227115
   Larrue Corinne., 2016, Analysing and Evaluating Flood Risk Governance in France: From State Policy to Local Strategies
   Legambiente, 2018, FANGO MODELLO SARNO
   Manzione, 2006, COMMISSIONE PARLAMEN
   McGinnis MichaelD., 1999, Polycentricity and Local Public Economies: Readings from the Workshop in Political Theory and Policy Analysis
   Mees H., 2016, ANAL EVALUATING FLOO
   Meijerink S, 2008, INT J WATER RESOUR D, V24, P499, DOI 10.1080/07900620801921363
   Miceli R, 2008, J ENVIRON PSYCHOL, V28, P164, DOI 10.1016/j.jenvp.2007.10.006
   Müller U, 2013, INT J DISAST RISK SC, V4, P115, DOI 10.1007/s13753-013-0013-y
   Munafo M, 2019, Report SNPA 08-2019. Soil sealing, territorial dynamics and ecosystem services. 2019 edition. SNPA report 08-2019
   Natural Water Retention Measures, 2013, INDIVIDUAL NWRM COAR
   Neuvel JMM, 2009, J ENVIRON PLANN MAN, V52, P865, DOI 10.1080/09640560903180909
   Newig J., 2009, Environmental Policy and Governance, V19, P197, DOI 10.1002/eet.509
   Nigussie Z, 2018, LAND USE POLICY, V71, P1, DOI 10.1016/j.landusepol.2017.11.039
   Oosterberg W., 2005, 45 C EUR REG SCI ASS, P1
   Ostrom E., 2007, THEORIES POLICY PROC, DOI DOI 10.4324/9780367274689-2
   Ostrom E., 1990, Governing the Commons: The Evolution of Institutions for Collective Action
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Pahl-Wostl C, 2002, AQUAT SCI, V64, P394, DOI 10.1007/PL00012594
   Pahl-Wostl C, 2013, ECOL SOC, V18, DOI 10.5751/ES-05779-180458
   Pahl-Wostl C, 2012, ENVIRON SCI POLICY, V23, P24, DOI 10.1016/j.envsci.2012.07.014
   Rahman HMT, 2014, ENVIRON MANAGE, V54, P1175, DOI 10.1007/s00267-014-0325-8
   Ran J, 2016, COMPUT ENVIRON URBAN, V57, P68, DOI 10.1016/j.compenvurbsys.2016.01.008
   Regione Campania , 2012, DEL GIUNT REG N 119
   Regione Campania , 2018, DEL GIUNT REG N 144
   Renn O, 2011, AMBIO, V40, P231, DOI 10.1007/s13280-010-0134-0
   Rhodes R.A. W., 1997, UNDERSTANDING GOVERN
   Rinne P., 2016, J ENVIRON POL PLAN, V18, P4, DOI [10.1080/1523908X.2015.1021414, DOI 10.1080/1523908X.2015.1021414]
   Termeer CJAM, 2010, ECOL SOC, V15
   Trigila A., 2015, DISSESTO IDROGEOLOGI
   van Buuren A., 2014, GOV NAT DELT 2014 RO
   van den Hurk M, 2014, LAND USE POLICY, V36, P416, DOI 10.1016/j.landusepol.2013.09.017
   Veerbeek W., 2012, WSUD 2012 7 INT C WA
   Vitale C, 2023, INT J WATER RESOUR D, V39, P211, DOI 10.1080/07900627.2021.1985972
   Vitale C, 2021, WATER ALTERN, V14, P597
   Vitale C, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104575
   Warner JF, 2013, MAKING SPACE FOR THE RIVER: GOVERNANCE EXPERIENCES WITH MULTIFUNCTIONAL RIVER FLOOD MANAGEMENT IN THE US AND EUROPE, P1
   Witting A, 2017, POLICY SOC, V36, P251, DOI 10.1080/14494035.2017.1322772
   Wolsink M, 2006, GEOFORUM, V37, P473, DOI 10.1016/j.geoforum.2005.07.001
   Zanfi F, 2013, URBAN STUD, V50, P3428, DOI 10.1177/0042098013484542
NR 80
TC 8
Z9 8
U1 5
U2 40
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 MAR 21
PY 2023
VL 66
IS 4
BP 813
EP 835
DI 10.1080/09640568.2021.2006156
EA NOV 2021
PG 23
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA 8H1IF
UT WOS:000751728100001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Pickett, STA
   Boone, CG
   McGrath, BP
   Cadenasso, ML
   Childers, DL
   Ogden, LA
   McHale, M
   Grove, JM
AF Pickett, S. T. A.
   Boone, Christopher G.
   McGrath, Brian P.
   Cadenasso, M. L.
   Childers, Daniel L.
   Ogden, Laura A.
   McHale, Melissa
   Grove, J. Morgan
TI Ecological science and transformation to the sustainable city
SO CITIES
LA English
DT Article
DE City; Ecology; Resilience; Sustainability; Urban
ID URBAN; RESILIENCE; FRAMEWORK
AB There is growing urgency to enhance the sustainability of existing and emerging cities. The science of ecology, especially as it interacts with disciplines in the social sciences and urban design, has contributions to make to the sustainable transformation of urban systems. Not all possible urban transformations may lead toward sustainability. Ecological science helps identify components of resilience that can favor transformations that are more sustainable. To summarize the dynamics and choices involved in sustainable,transformations, a "metacity" framework is presented, embracing ecological processes in cities as complementary to those involving society, power, and economy. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Pickett, S. T. A.] Cary Inst Ecosyst Studies, Millbrook, NY 12545 USA.
   [Boone, Christopher G.; Childers, Daniel L.] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.
   [McGrath, Brian P.] Parsons New Sch Design, New York, NY 10011 USA.
   [Cadenasso, M. L.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Ogden, Laura A.] Florida Int Univ, Sch Int & Publ Affairs, Dept Global & Sociocultural Studies, Miami, FL 33199 USA.
   [McHale, Melissa] N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA.
   [Grove, J. Morgan] US Forest Serv, Baltimore Field Stn, No Res Stn, Baltimore, MD 21228 USA.
   [Grove, J. Morgan] US Forest Serv, Baltimore Ecosyst Study, No Res Stn, Baltimore, MD 21228 USA.
C3 Cary Institute of Ecosystem Studies; Arizona State University; Arizona
   State University-Tempe; University of California System; University of
   California Davis; State University System of Florida; Florida
   International University; North Carolina State University; United States
   Department of Agriculture (USDA); United States Forest Service; United
   States Department of Agriculture (USDA); United States Forest Service
RP Pickett, STA (corresponding author), Cary Inst Ecosyst Studies, Millbrook, NY 12545 USA.
EM picketts@caryinstitute.org
RI McHale, Melissa/AIA-0220-2022
OI Grove, J. Morgan/0000-0002-7803-074X; Childers,
   Daniel/0000-0003-3904-0803; Cadenasso, Mary/0000-0002-6521-067X;
   Pickett, Steward/0000-0002-1899-976X; Boone,
   Christopher/0000-0001-7643-0806
FU Direct For Biological Sciences [0844778] Funding Source: National
   Science Foundation; Direct For Biological Sciences; Emerging Frontiers
   [1238320] Funding Source: National Science Foundation; Direct For
   Social, Behav & Economic Scie; Division Of Behavioral and Cognitive Sci
   [0948229, 0948988] Funding Source: National Science Foundation; Direct
   For Social, Behav & Economic Scie; Division Of Behavioral and Cognitive
   Sci [1229429] Funding Source: National Science Foundation; Division Of
   Environmental Biology [0844778] Funding Source: National Science
   Foundation; Division Of Environmental Biology; Direct For Biological
   Sciences [1140077, 1027188, 1026865] Funding Source: National Science
   Foundation; Division Of Environmental Biology; Direct For Biological
   Sciences [1140070] Funding Source: National Science Foundation
CR [Anonymous], 1976, LAND USE LAND COVER
   [Anonymous], UN HAB STAT WORLDS C
   [Anonymous], FRONTIERS ECOLOGY EN
   [Anonymous], LANDSCAPE URBAN PLAN
   [Anonymous], 2001, The global city: New York, London, Tokyo, V2nd
   Bai XM, 2010, ENVIRON SCI POLICY, V13, P312, DOI 10.1016/j.envsci.2010.03.011
   Baltimore City, 2009, BALT SUST PLAN, V2011
   Barthel S., 2012, GLOBAL ENVIRON CHANG, V20, P255
   Beatley Timothy., 2000, Green Urbanism: Learning from European Cities
   Ben-Joseph Eran., 2005, CODE CITY STANDARDS
   Biggs R, 2010, ECOL SOC, V15, DOI 10.5751/ES-03411-150209
   Bontje Marco., 2004, GEOJOURNAL, V61, P13, DOI [10.1007/s10708-005-0843-2, DOI 10.1007/S10708-005-0843-2, https://doi.org/10.1007/s10708-005-0843-2]
   Boone CG, 2002, URBAN GEOGR, V23, P581, DOI 10.2747/0272-3638.23.6.581
   Boone ChristopherG., 2006, CITY ENV
   Brazel A, 2000, CLIMATE RES, V15, P123, DOI 10.3354/cr015123
   Brown Caroline., 2005, Built Environment, V31, P326
   Buckley, 2010, AM CONSERVATION IMPU
   Bullard R., 2005, The Quest for Environmental Justice: Human Rights and the Politics of Pollution, P393
   Cadenasso ML, 2007, FRONT ECOL ENVIRON, V5, P80, DOI 10.1890/1540-9295(2007)5[80:SHIUER]2.0.CO;2
   Chapin FS, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00166.1
   Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008
   Childers D. L., 2012, J IND ECOLOGY
   Christensen J., 2011, CHRON HIGHER EDUC, V27, pB9
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   Collins SL, 2011, FRONT ECOL ENVIRON, V9, P351, DOI 10.1890/100068
   Curwell S., 2005, FRAMEWORK PROTOCOLS, V1
   Cutter S.L., 2006, HAZARDS VULNERABILIT, P418
   Ellin N., 2012, RESILIENCE ECOLOGY U
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Farr D., 2008, Sustainable Urbanism: Urban Design with Nature
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Garreau J., 1991, Edge City: Life On The New Frontier
   Glaeser E. L., 2011, TRIUMPH CITY URBAN S
   Groffman PM, 2004, ECOSYSTEMS, V7, P393, DOI 10.1007/s10021-003-0039-x
   Groffman PM, 2003, FRONT ECOL ENVIRON, V1, P315, DOI 10.1890/1540-9295(2003)001[0315:DBTRUR]2.0.CO;2
   Grove J.M., 2009, Principles of Ecosystem Stewardship, P281, DOI DOI 10.1007/978-0-387-73033-213
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hanski I, 1997, METAPOPULATION BIOL
   Holling C. S., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   HOLLING CS, 1994, FUTURES, V26, P598, DOI 10.1016/0016-3287(94)90031-0
   Huang GL, 2011, J ENVIRON MANAGE, V92, P1753, DOI 10.1016/j.jenvman.2011.02.006
   Jones C., 2010, FUTURE CITY, V2
   Leibold MA, 2004, ECOL LETT, V7, P601, DOI 10.1111/j.1461-0248.2004.00608.x
   Luck MA, 2001, ECOSYSTEMS, V4, P782, DOI 10.1007/s10021-001-0046-8
   McGrath B., 2011, CHALLENGES, V2, P55, DOI [10.3390/challe2040055, DOI 10.3390/CHALLE2040055]
   McGrath B., 2007, NEW URBANISMS, V10, P42
   [McGrath B. Columbia University Urban Design Program Columbia University Urban Design Program], 2007, Designing patch dynamics
   McGrath B. P., 2011, URBAN DESIGN ECOLOGI
   Melosi M.V., 2000, The Sanitary City: Urban Infrastructure in America from Colonial Times to the Present
   Metson G., 2012, ECOLOGICAL APPL, V22, P705
   Mostafavi Moshen., 2010, Ecological Urbanism
   Nowak DavidJ., 2007, EC BENEFITS LAND CON, P28
   Næss P, 2001, EUR PLAN STUD, V9, P503, DOI 10.1080/713666490
   Odum HowardT. Elisabeth C. Odum., 2001, PROSPEROUS WAY PRINC, DOI DOI 10.1641/B580208
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Olson SherryH., 1997, BALTIMORE BUILDING A
   Pelling M, 2011, ECOL SOC, V16
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Pickett S., 2011, THEORY ECOLOGY
   Pickett STA, 2011, J ENVIRON MANAGE, V92, P331, DOI 10.1016/j.jenvman.2010.08.022
   Pickett S. T. A., 2012, FUTURE CITY
   Pickett S. T. A., 2012, RESILIENCE ECOLOGY U
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pickett STA, 2011, URBAN ECOSYST, V14, P319, DOI 10.1007/s11252-011-0166-7
   Pincetl S., 2012, CURRENT RES CITIES
   Pincetl S, 2010, LOCAL ENVIRON, V15, P43, DOI 10.1080/13549830903406065
   Platt R. H., 2006, HUMANE M ETROPOLIS P
   Ritzer G., 2001, EXPLORATIONS SOCIAL
   Rosol M, 2010, INT J URBAN REGIONAL, V34, P548, DOI 10.1111/j.1468-2427.2010.00968.x
   Sassen S, 2011, GLOBAL ENVIRON CHANG, V21, P823, DOI 10.1016/j.gloenvcha.2011.03.018
   Scheffer M., 2002, Panarchy, P195
   Shane D. G., 2007, NEW URBANISMS, V10, P94
   Shane D. G., 2005, RECOMBINANT URBANISM
   Spirn A.W., 2012, ECOLOGICAL URBANISM
   Spirn AW, 2002, ECOLOGY AND DESIGN: FRAMEWORKS FOR LEARNING, P29
   UNFPA U., 2007, State of World Population 2007
   Vale L.J., 2005, RESILIENT CITY MODER, P376
   Vitousek PM, 1997, SCIENCE, V277, P494, DOI 10.1126/science.277.5325.494
   Walker B, 2004, ECOL SOC, V9
   Williams D., 2007, SUSTAINABLE DESIGN E
   Williams R., 1975, CITY COUNTRYSIDE
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 82
TC 103
Z9 119
U1 4
U2 110
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 JUL
PY 2013
VL 32
SU 1
SI SI
BP S10
EP S20
DI 10.1016/j.cities.2013.02.008
PG 11
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 226RY
UT WOS:000325054900003
DA 2025-04-22
ER

PT J
AU Beckwith, L
AF Beckwith, Laura
TI Cambodia's resilience agenda: Understanding how local institutions and
   actors accept, contest and accommodate an externally driven approach
SO GEOFORUM
LA English
DT Article
DE Cambodia; Climate change policy; Resilience; Urban governance;
   Discourse; Urban development
ID CLIMATE-CHANGE; POLITICS; GOVERNANCE; PROJECTS; POVERTY; FUTURE; POLICY;
   STATE
AB Resilience has become an important priority in many areas of development policy, particularly as a way to understand and manage climate change. Notably, an array of international actors has emerged which seeks to promote and operationalize resilience as a framework for the planning and management of urban areas. Critics argue that the considerable influence wielded by these external actors means that resilience is imposed as a fully formed policy agenda and set of tools and procedures with little relevance to the local context. Using the case of Cambodia, this analysis will show that rather than being simply a development buzzword, an actually existing resilience is produced through friction as the interests of international actors meets the particularities of the Cambodian context. In Cambodia, the resilience agenda is strongly managerial, addressing climate risk through infrastructure and technical assistance that steers clear of engaging with the politically charged roots of differing vulnerabilities in urban areas.
C1 [Beckwith, Laura] Univ Ottawa, Sch Int Dev & Global Studies, Ottawa, ON, Canada.
   [Beckwith, Laura] 120 Univ Private, Fac Social Sci, Ottawa, ON K1N 6N5, Canada.
   [Beckwith, Laura] Northumbria Univ, Ctr Int Dev, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
C3 University of Ottawa; Northumbria University
RP Beckwith, L (corresponding author), Northumbria Univ, Ctr Int Dev, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
EM laura.beckwith@northumbria.ac.uk
CR Adger WN, 2001, DEV CHANGE, V32, P681, DOI 10.1111/1467-7660.00222
   Anderson B, 2015, POLITICS-OXFORD, V35, P60, DOI 10.1111/1467-9256.12079
   [Anonymous], 2019, Radio Free Asia
   APUR Phnom Penh Capital Hall & Ville de Paris, 2019, PHNOM PENH EXTENSION
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Baker J, 2015, CRIT ASIAN STUD, V47, P151, DOI 10.1080/14672715.2015.1041273
   Beban A., 2021, Unwritten Rule: State-Making through Land Reform in Cambodia
   Beban A, 2017, DEV CHANGE, V48, P590, DOI 10.1111/dech.12301
   Beckwith L, 2022, CLIM DEV, V14, P184, DOI 10.1080/17565529.2021.1904811
   Beckwith Laura, 2020, PhD Thesis
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Benson E, 2014, DEV PRACT, V24, P605, DOI 10.1080/09614524.2014.911819
   Borquez R, 2017, SUSTAIN SCI, V12, P163, DOI 10.1007/s11625-016-0400-6
   Brenner N, 2002, ANTIPODE, V34, P349, DOI 10.1111/1467-8330.00246
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brown Katrina., 2016, RESILIENCE DEV GLOBA
   Cambodia Climate Change Alliance, 2014, CLIM CHANG LEX
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Colding J, 2019, ECOL SOC, V24, DOI 10.5751/ES-10598-240102
   Cornwall A, 2007, DEV PRACT, V17, P471, DOI 10.1080/09614520701469302
   Department of Climate Change, 2014, CAMB CLIM CHANG ALL
   Dwyer M.B, 2015, J PEAS STUD, V42, P1
   Eng N, 2016, PUBLIC ADMIN DEVELOP, V36, P250, DOI 10.1002/pad.1765
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Fauveaud G, 2016, ESPAC POLIT, V29
   Ferguson J., 1994, Ecologist, V24, P176
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Galderisi A., 2020, City Territ Archit, V7, P16, DOI DOI 10.1186/S40410-020-00123-W
   Ghertner Asher., 2010, Global Political Ecology
   Grimsditch M., 2009, Untitled: Tenure insecurity and inequality in the Cambodian land sector
   Hajer M. A., 1997, The Politics of Environmental Discourse: Ecological Modernization and the Policy Process, DOI DOI 10.1093/019829333X.001.0001
   Hill LJ., 2017, ASSEMBLING NEOLIBERA, P263, DOI 10.1057/978-1-137-58204-1
   Hughes C, 2006, J SOUTHEAST ASIAN ST, V37, P469, DOI 10.1017/S0022463406000749
   ING Holdings, 2015, OVERVIEW
   Japan International Cooperation Agency (JICA), 2016, STUD DRAIN SEW IMPR
   Kelman I, 2015, INT J DISAST RISK SC, V6, P21, DOI 10.1007/s13753-015-0038-5
   Lamb V, 2017, J PEASANT STUD, V44, P1215, DOI 10.1080/03066150.2017.1311868
   Leach M., 2008, STEPS Working Paper 13
   Lebel L, 2018, INT ENVIRON AGREEM-P, V18, P429, DOI 10.1007/s10784-018-9397-x
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Li T.M, 2006, NEO LIBERAL STRATEGI, P1
   Li TM, 2007, ECON SOC, V36, P263, DOI 10.1080/03085140701254308
   LICADHO Cambodia Youth Network Equitable Cambodia & STT, 2020, SMOK WAT SOC HUM RIG
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Marks D, 2016, HABITAT INT, V52, P57, DOI 10.1016/j.habitatint.2015.08.024
   Meerow S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070701
   Mialhe F, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104061
   Milne S, 2015, CRIT ASIAN STUD, V47, P200, DOI 10.1080/14672715.2015.1041275
   Mitchell A., 2013, OECD Development Co-operation Working Papers, DOI DOI 10.1787/5K3TTG4CXCBP-EN
   Moench, 2017, SHAPING POLICY DEV C
   NCSD MoE PPCH GGGI, 2019, Phnom penh sustainable city plan 2018-2030
   Nishikawa M., 2018, JICAS COOPERATION WA
   OECD, 2019, PARIS DECL ACCR AGEN
   OECD, 2021, AID GLANC
   Paling W, 2012, URBAN STUD, V49, P2889, DOI 10.1177/0042098012452457
   Park CMY, 2019, FEM ECON, V25, P21, DOI 10.1080/13545701.2018.1503417
   Redclift MR, 2011, CLIMATE CHANGE AND HUMAN SECURITY: THE CHALLENGE TO LOCAL GOVERNANCE UNDER RAPID COASTAL URBANIZATION, P1
   Royal Government of Cambodia, 2018, RECT STRAT GROWTH EM, P48
   Royal Government of Cambodia, 2014, CLIM CHANG STR PLAN
   Satterthwaite D., 2018, Int. J. Disaster Risk Reduction, V26, P1
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P381, DOI 10.1177/0956247813500902
   Schoenberger L, 2018, ANN AM ASSOC GEOGR, V108, P1338, DOI 10.1080/24694452.2017.1420462
   SPCR, 2018, TA 8179 CAM MAI CLIM
   SPCR, 2018, STR PROGR CLIM RES P
   Springer S, 2011, ENVIRON PLANN A, V43, P2554, DOI 10.1068/a43402
   Strangio Sebastian, 2014, Hun Sens Cambodia, P151
   STT, 2015, PHNOM PENHS LAKES AR
   Tsing AL, 2005, FRICTION: AN ETHNOGRAPHY OF GLOBAL CONNECTION, P1
   Un K, 2006, PAC AFF, V79, P225, DOI 10.5509/2006792225
   Un K, 2011, PAC AFF, V84, P289, DOI 10.5509/2011842289
   United Nations-Habitat III, 2016, NEW URB AG
   University of Notre Dame, 2020, ND GAIN NOTR DAM GLO
   Verver M, 2015, J CONTEMP ASIA, V45, P48, DOI 10.1080/00472336.2014.891147
   Watts M.J., 2015, ROUTLEDGE HDB POLITI, P19
   Webber S, 2020, ANN AM ASSOC GEOGR, V111, P343, DOI 10.1080/24694452.2020.1774349
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   World Bank, SUSTAINABLE CITIES C
   World Bank, 2018, URBAN DEV PHNOM PENH
   World Bank Global Facility for Disaster Reduction and Recovery Swiss Confederation & Republic of Austria, 2020, CIT RES PROGR ANN RE
NR 83
TC 5
Z9 5
U1 1
U2 15
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 JAN
PY 2022
VL 128
BP 125
EP 134
DI 10.1016/j.geoforum.2021.12.015
PG 10
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA ZS0WF
UT WOS:000768192900013
DA 2025-04-22
ER

PT J
AU Fastiggi, M
   Meerow, S
   Miller, TR
AF Fastiggi, Mary
   Meerow, Sara
   Miller, Thaddeus R.
TI Governing urban resilience: Organisational structures and coordination
   strategies in 20 North American city governments
SO URBAN STUDIES
LA English
DT Article
DE climate change; governance; institutions; sustainability; urban
   resilience
ID GOVERNANCE; ROTTERDAM; LESSONS; SYSTEMS; THINKING
AB This paper describes how urban resilience governance is structured and coordinated in 20 North American cities (19 US and one Canadian) based on interviews with city officials. This co-produced research evolved out of conversations with city officials in Portland, Oregon, who were interested to learn how other cities were organising resilience work. Interviews focused on emerging definitions, organisational structures, internal and external coordination efforts, and practitioners' insights. The paper includes a descriptive summary of how cities are structuring and coordinating resilience efforts. Additionally, we discuss how current trends in resilience coordination can inform future directions for urban resilience scholarship. We compare what practitioners view as key success factors against six commonly theorised characteristics for effective resilience governance. Overall, we find considerable overlap in lessons from theory and practice, including the benefits of a systems approach, the need for a clear definition of resilience, strong leadership, and stakeholder engagement. Practitioners use resilience to diagnose the overall health of their cities. Additionally, practice tends to emphasise limitations such as political turnover, trade-offs between centralised and dispersed organisation, and the need to carefully diagnose and scope resilience work, whereas the academic literature calls for multi-level and cross-scale governance and feedbacks and more transformative action. Given these insights, we highlight opportunities for new resilience scholarship, including analysing the benefits of the diagnostic phase of resilience planning, evaluating resilience goals to determine the best departmental fit, and understanding local barriers and trade-offs to adopting a broad systems approach.
C1 [Fastiggi, Mary; Meerow, Sara; Miller, Thaddeus R.] Arizona State Univ, Tempe, AZ 85287 USA.
C3 Arizona State University; Arizona State University-Tempe
RP Meerow, S (corresponding author), Arizona State Univ, Sch Geog Sci & Urban Planning, Coor Hall,976 S Forest Mall, Tempe, AZ 85287 USA.
EM sara.meerow@asu.edu
RI Meerow, Sara/J-8037-2019
OI Meerow, Sara/0000-0002-6935-1832
FU National Science Foundation [SES-1444755]; ASU School of Sustainability
   Graduate Student Culminating Experience Grant
FX This material is based upon work supported by the National Science
   Foundation under award number SES-1444755 (Urban Resilience to Extremes
   Sustainability Research Network) and by an ASU School of Sustainability
   Graduate Student Culminating Experience Grant.
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], 2019, Bloomberg, April 11
   Bellinson R, 2019, J ENVIRON POL PLAN, V21, P76, DOI 10.1080/1523908X.2018.1493916
   Berke P., 2009, Sustainable development and disaster resiliency, P1, DOI DOI 10.3233/978-1-60750-046-9-1)
   Berke PR, 2018, J ENVIRON PLANN MAN, V62, P901
   Berkes F., 2000, LINKING SOCIAL ECOLO
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Brand FS, 2007, ECOL SOC, V12
   Coaffee J, 2015, TOWN PLAN REV, V86, P249, DOI 10.3828/tpr.2015.16
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   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
   Dezio C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10062042
   Duit A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI 10.1016/j.gloenvcha.2010.04.006
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P90, DOI 10.1016/j.envsci.2016.01.010
   Frantzeskaki N, 2014, AMBIO, V43, P542, DOI 10.1007/s13280-014-0512-0
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Haupt W, 2019, INT J URBAN SUSTAINA, P3138
   Ilgen S, 2019, WATER-SUI, V11, DOI 10.3390/w11050983
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   Keenan JM, 2018, ENVIRON SCI POLICY, V88, P116, DOI 10.1016/j.envsci.2018.06.015
   Khazai B, 2018, INT J DISAST RISK RE, V31, P604, DOI 10.1016/j.ijdrr.2018.06.012
   Komendantova N, 2016, INT J DISASTER RESIL, V7, P114, DOI 10.1108/IJDRBE-03-2015-0013
   Krause RM, 2016, J PUBL ADM RES THEOR, V26, P113, DOI 10.1093/jopart/muu032
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Lyles W, 2018, J ENVIRON PLANN MAN, V61, P1994, DOI 10.1080/09640568.2017.1379958
   Mart?n C., 2018, INSTITUTIONALIZING U
   McGreavy B, 2016, ENVIRON COMMUN, V10, P104, DOI 10.1080/17524032.2015.1014390
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Medd W., 2005, J CONTING CRISIS MAN, V13, P44, DOI DOI 10.1111/J.1468-5973.2005.00455.X
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Meerow S, 2017, ENVIRON PLANN A, V49, P2649, DOI 10.1177/0308518X17723630
   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
   Moser S, 2019, CLIMATIC CHANGE, V153, P21, DOI 10.1007/s10584-018-2358-0
   Niemelä J, 2014, LANDSCAPE URBAN PLAN, V125, P298, DOI 10.1016/j.landurbplan.2013.07.014
   Olazabal M, 2016, ENVIRON INNOV SOC TR, V18, P18, DOI 10.1016/j.eist.2015.06.006
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Paterson SK, 2017, GEOFORUM, V81, P109, DOI 10.1016/j.geoforum.2017.02.014
   Razafindrabe BHN, 2014, MITIG ADAPT STRAT GL, V19, P177, DOI 10.1007/s11027-012-9433-z
   Schauppenlehner-Kloyber E, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070664
   Sellberg MM, 2018, J ENVIRON MANAGE, V217, P906, DOI 10.1016/j.jenvman.2018.04.012
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Stojanovic T, 2016, ECOL SOC, V21, DOI 10.5751/ES-08633-210315
   van der Jagt APN, 2017, ENVIRON RES, V159, P264, DOI 10.1016/j.envres.2017.08.013
   Vandergert P, 2016, INT J URBAN SUSTAIN, V8, P126, DOI 10.1080/19463138.2015.1102726
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Wamsler C, 2014, URBAN CLIM, V7, P64, DOI 10.1016/j.uclim.2013.10.009
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Wood SGA, 2019, J OCCUP ENVIRON HYG, V16, P41, DOI 10.1080/15459624.2018.1533674
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
NR 55
TC 63
Z9 70
U1 16
U2 103
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 MAY
PY 2021
VL 58
IS 6
BP 1262
EP 1285
AR 0042098020907277
DI 10.1177/0042098020907277
EA MAR 2020
PG 24
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA RM3DM
UT WOS:000523831900001
DA 2025-04-22
ER

PT J
AU Chen, KF
   Leandro, J
AF Chen, Kai-Feng
   Leandro, Jorge
TI A Conceptual Time-Varying Flood Resilience Index for Urban Areas: Munich
   City
SO WATER
LA English
DT Article
DE flood resilience index; flood resilience analysis; urban floods; flood
   risk assessment; flood inundation modelling
ID VULNERABILITY; IMPACTS; HEALTH
AB In response to the increased frequency and severity of urban flooding events, flood management strategies are moving away from flood proofing towards flood resilience. The term flood resilience' has been applied with different definitions. In this paper, it is referred to as the capacity to withstand adverse effects following flooding events and the ability to quickly recover to the original system performance before the event. This paper introduces a novel time-varying Flood Resilience Index (FRI) to quantify the resilience level of households. The introduced FRI includes: (a) Physical indicators from inundation modelling for considering the adverse effects during flooding events, and (b) social and economic indicators for estimating the recovery capacity of the district in returning to the original performance level. The district of Maxvorstadt in Munich city is used for demonstrating the FRI. The time-varying FRI provides a novel insight into indicator-based quantification methods of flood resilience for households in urban areas. It enables a timeline visualization of how a system responds during and after a flooding event.
C1 [Chen, Kai-Feng; Leandro, Jorge] Tech Univ Munich, Dept Civil Geo & Environm Engn, Chair Hydrol & River Basin Management, Arcisstr 21, D-80333 Munich, Germany.
C3 Technical University of Munich
RP Chen, KF (corresponding author), Tech Univ Munich, Dept Civil Geo & Environm Engn, Chair Hydrol & River Basin Management, Arcisstr 21, D-80333 Munich, Germany.
EM kaifeng.chen@tum.de; jorge.leandro@tum.de
RI ; Leandro, Jorge/M-6558-2014
OI Chen, Kai-Feng/0000-0001-5692-4593; Leandro, Jorge/0000-0002-2193-9741
CR Adelekan IO, 2010, ENVIRON URBAN, V22, P433, DOI 10.1177/0956247810380141
   Allen TR, 2019, PUBLIC WORKS MANAG P, V24, P110, DOI 10.1177/1087724X18798380
   Barroca B, 2006, NAT HAZARD EARTH SYS, V6, P553, DOI 10.5194/nhess-6-553-2006
   BATICA J., 2014, 11 INT C HYDR CIT U
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bizzotto M., 2018, P 9 GLOB FOR URB RES
   Bruijn K. M. de, 2004, Water Policy, V6, P53
   DE Bruijn K., 2004, INT J RIVER BASIN MA, V2, P199, DOI [10.1080/15715124.2004.9635232, DOI 10.1080/15715124.2004.9635232]
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Driessen PPJ, 2018, WATER-SUI, V10, DOI 10.3390/w10111595
   Few R., 2003, PROG DEV STUD, V3, P43, DOI DOI 10.1191/1464993403PS049RA
   Fischer K, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061800
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Jones L, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.552
   Junghanel T., 2017, Bericht zur revision der koordinierten starkregenregionalisierung und -auswertung des deutschen wetterdienstes in der version 2010
   Karamouz M, 2019, J WATER RES PLAN MAN, V145, DOI 10.1061/(ASCE)WR.1943-5452.0001043
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Landeshauptstadt Munchen, 2018, STAT TASCH 2018 MUNC
   Landeshauptstadt Munchen, 2018, MUN FACTS FIG 2018
   Leandro J, 2014, J HYDROL, V517, P250, DOI 10.1016/j.jhydrol.2014.05.020
   Leandro J, 2015, URBAN WATER J, V12, P1, DOI 10.1080/1573062X.2014.974913
   LEE EH, 2017, WATER-SUI, V9, DOI DOI 10.3390/w9060428
   Messner F., 2007, EVALUATING FLOOD DAM
   Milojevic A, 2017, J EPIDEMIOL COMMUN H, V71, P970, DOI 10.1136/jech-2017-208899
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mugume S.N., 2014, P 13 INT C URB DRAIN
   Murdock HJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103470
   Perfrement T., 2016, P 56 FLOODPL MAN AUS
   Robadue D., 2019, P 52 HAW INT C SYST
   Rockefeller Foundation ARUP, 2014, CIT RES IND
   Rufat S, 2015, INT J DISAST RISK RE, V14, P470, DOI 10.1016/j.ijdrr.2015.09.013
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Schelfaut K, 2011, ENVIRON SCI POLICY, V14, P825, DOI 10.1016/j.envsci.2011.02.009
   Ten Brinke WBM, 2017, INT J DISAST RISK RE, V21, P312, DOI 10.1016/j.ijdrr.2017.01.011
   Teo M., 2013, P 9 ANN INT C INT I
   Tourbier J., 2012, P EGU GEN ASS VIENN
   United Nations Office for Disaster Risk Reduction, TERM DIS RISK RED
   Unterberger Christian, 2018, Econ Disaster Clim Chang, V2, P5, DOI 10.1007/s41885-017-0015-0
   Walsh BJ, 2019, POLICY RES WORKING P
   Winderl Thomas., 2014, DISASTER RESILIENCE
   Young G., CHEM EXPOSURE MOLD M
   Zhang Y, 2019, J HYDROL, V568, P275, DOI 10.1016/j.jhydrol.2018.10.048
NR 46
TC 69
Z9 72
U1 11
U2 124
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD APR
PY 2019
VL 11
IS 4
AR 830
DI 10.3390/w11040830
PG 19
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA IF5FC
UT WOS:000473105700200
OA Green Submitted, Green Published, gold
DA 2025-04-22
ER

PT J
AU Chrysoulakis, N
   Ludlow, D
   Mitraka, Z
   Somarakis, G
   Khan, Z
   Lauwaet, D
   Hooyberghs, H
   Feliu, E
   Navarro, D
   Feigenwinter, C
   Holsten, A
   Soukup, T
   Dohr, M
   Marconcini, M
   Andersen, BH
AF Chrysoulakis, Nektarios
   Ludlow, David
   Mitraka, Zina
   Somarakis, Giorgos
   Khan, Zaheer
   Lauwaet, Dirk
   Hooyberghs, Hans
   Feliu, Efren
   Navarro, Daniel
   Feigenwinter, Christian
   Holsten, Anne
   Soukup, Tomas
   Dohr, Mario
   Marconcini, Mattia
   Andersen, Birgitte Holt
TI Copernicus for urban resilience in Europe
SO SCIENTIFIC REPORTS
LA English
DT Article
ID HEALTH-COST EXTERNALITIES; SENSIBLE HEAT-FLUX; AIR-POLLUTION;
   LOCAL-SCALE; VALIDATION; METABOLISM; EMISSIONS; IMAGERY; STORAGE; SYSTEM
AB The urban community faces a significant obstacle in effectively utilising Earth Observation (EO) intelligence, particularly the Copernicus EO program of the European Union, to address the multifaceted aspects of urban sustainability and bolster urban resilience in the face of climate change challenges. In this context, here we present the efforts of the CURE project, which received funding under the European Union's Horizon 2020 Research and Innovation Framework Programme, to leverage the Copernicus Core Services (CCS) in supporting urban resilience. CURE provides spatially disaggregated environmental intelligence at a local scale, demonstrating that CCS can facilitate urban planning and management strategies to improve the resilience of cities. With a strong emphasis on stakeholder engagement, CURE has identified eleven cross-cutting applications between CCS that correspond to the major dimensions of urban sustainability and align with user needs. These applications have been integrated into a cloud-based platform known as DIAS (Data and Information Access Services), which is capable of delivering reliable, usable and relevant intelligence to support the development of downstream services towards enhancing resilience planning of cities throughout Europe.
C1 [Chrysoulakis, Nektarios; Mitraka, Zina; Somarakis, Giorgos] Fdn Res & Technol Hellas, Inst Appl & Computat Math, Remote Sensing Lab, Iraklion, Greece.
   [Ludlow, David; Khan, Zaheer] Univ West England, Bristol, England.
   [Lauwaet, Dirk; Hooyberghs, Hans] Flemish Inst Technol Res VITO, Mol, Belgium.
   [Feliu, Efren; Navarro, Daniel] Basque Res & Technol Alliance BRTA, TECNALIA, Derio, Spain.
   [Feigenwinter, Christian] Univ Basel, Basel, Switzerland.
   [Holsten, Anne] Potsdam Inst Fuer Klimafolgenforsch, PIK, Potsdam, Germany.
   [Holsten, Anne] Bauhaus Earth, Berlin, Germany.
   [Soukup, Tomas] Gisat SRO, Prague, Czech Republic.
   [Dohr, Mario] GeoVille Informat Syst & Datenverarbeitung GMBH, Innsbruck, Austria.
   [Marconcini, Mattia] Deutsch Zentrum Luft & Raumfahrt, DLR, Wessling, Germany.
   [Andersen, Birgitte Holt] CWARE ApS, Copenhagen, Denmark.
C3 Foundation for Research & Technology - Hellas (FORTH); University of
   West England; VITO; University of Basel; Potsdam Institut fur
   Klimafolgenforschung; Helmholtz Association; German Aerospace Centre
   (DLR)
RP Chrysoulakis, N (corresponding author), Fdn Res & Technol Hellas, Inst Appl & Computat Math, Remote Sensing Lab, Iraklion, Greece.
EM zedd2@iacm.forth.gr
RI Holsten, Anne/JVN-0931-2024; Feigenwinter, Christian/M-5374-2019;
   Chrysoulakis, Nektarios/AAG-6092-2020; Somarakis, Giorgos/AAW-1834-2021;
   Etrych, Tomas/G-3420-2014
OI Lauwaet, Dirk/0000-0002-9958-5066; Khan, Zaheer/0000-0003-4487-1724;
   Navarro, Daniel/0000-0002-0705-586X; Hooyberghs,
   Hans/0000-0002-6166-341X
FU This project has received funding from the European Union's Horizon 2020
   Research and Innovation Framework Programme (Grant Agreement No 870337,
   project CURE). [870337]; European Union's Horizon 2020 Research and
   Innovation Framework Programme; H2020 - Industrial Leadership [870337]
   Funding Source: H2020 - Industrial Leadership
FX This project has received funding from the European Union's Horizon 2020
   Research and Innovation Framework Programme (Grant Agreement No 870337,
   project CURE).
CR [Anonymous], 2021, Communication from the Commission to the European Parliament and the Council: Business Taxation for the 21st Century
   Brandt J, 2013, ATMOS CHEM PHYS, V13, P7725, DOI 10.5194/acp-13-7725-2013
   Brandt J, 2013, ATMOS CHEM PHYS, V13, P7747, DOI 10.5194/acp-13-7747-2013
   Christen A, 2011, ATMOS ENVIRON, V45, P6057, DOI 10.1016/j.atmosenv.2011.07.040
   Chrysoulakis N, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2003JD003396
   Chrysoulakis N, 2019, THEOR APPL CLIMATOL, V137, P1171, DOI 10.1007/s00704-018-2663-6
   Chrysoulakis N, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-29873-x
   Chrysoulakis N, 2014, ISPRS INT J GEO-INF, V3, P980, DOI 10.3390/ijgi3030980
   Chrysoulakis N, 2013, LANDSCAPE URBAN PLAN, V112, P100, DOI 10.1016/j.landurbplan.2012.12.005
   Crawford B, 2015, THEOR APPL CLIMATOL, V119, P733, DOI 10.1007/s00704-014-1124-0
   De Ridder K, 2015, URBAN CLIM, V12, P21, DOI 10.1016/j.uclim.2015.01.001
   Department of the Army and Air Force, 2003, Air Force Pamphlet 48-152(I)), V507
   Esch T., 2018, Int. J. Digital Earth, V2018, P1
   Eurisy, 2022, Space for Cities: Earth Observation for Sustainable Development
   European Commission, 2022, Decision (EU) 2022/591 of the European Parliament and of the Council of 6 April 2022 on a General Union Environment Action Programme to 2030
   European Commission, 2020, New Leipzig CharterThe Transformative Power of Cities for the Common Good
   European Commission, 2022, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions on the monitoring framework for the 8th Environment Action Programme: Measuring Progress towards the Attainment of the Programme's 2030 and 2050 Priority Objectives (COM/2022/357 final)
   Feigenwinter C., 2012, EDDY COVARIANCE PRAC, P377, DOI [10.1007/978-94-007-2351-1_16, DOI 10.1007/978-94-007-2351-1_16, 10.1007/978-94-007-2351-1]
   Feigenwinter C, 2018, IEEE J-STARS, V11, P2717, DOI 10.1109/JSTARS.2018.2807815
   Gerasopoulos E, 2022, ENVIRON SCI POLICY, V132, P296, DOI 10.1016/j.envsci.2022.02.033
   González A, 2013, ENVIRON IMPACT ASSES, V38, P109, DOI 10.1016/j.eiar.2012.06.007
   Grimmond CSB, 1999, J APPL METEOROL, V38, P922, DOI 10.1175/1520-0450(1999)038<0922:HSIUAL>2.0.CO;2
   Group on Earth Observations, 2017, Earth Observations in support of the 2030 Agenda for Sustainable Development
   Hlavácová I, 2016, INT ARCH PHOTOGRAMM, V41, P763, DOI 10.5194/isprsarchives-XLI-B7-763-2016
   ICLEI (International Council for Local Environmental Initiatives), 2018, Resilient Cities Report 2018: Tracking local progress on the resilience targets of SDG 11
   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]
   Jiménez-Muñoz JC, 2014, IEEE GEOSCI REMOTE S, V11, P1840, DOI 10.1109/LGRS.2014.2312032
   Khan Z., 2013, Theor. Empir. Res. Urban Manag, V8, P25
   Khan Z, 2017, INFORMATION, V8, DOI 10.3390/info8020047
   Kljun N, 2015, GEOSCI MODEL DEV, V8, P3695, DOI 10.5194/gmd-8-3695-2015
   Kolomaznik J., 2018, Post-disaster Situation Analysis of Landslides after Mar 2018 Floods in Lima, Peru
   Kolomaznik J., 2016, TACR CZ Certified Method for Terrain Movementsa and Deformation Monitoring on Transport Infrastructure by Means of SAR Interferometry
   Kotthaus S, 2014, ISPRS J PHOTOGRAMM, V94, P194, DOI 10.1016/j.isprsjprs.2014.05.005
   Kropp J., 2017, RAMSES - Science for Cities in Transition
   Lauwaet D, 2020, CLIMATE, V8, DOI 10.3390/cli8010006
   Lazecky M., 2010, GeoSci. Eng, VLVI, P32
   [Lee H. IPCC 2023 IPCC 2023], Climate Change 2023: Synthesis Report. A Report of the Intergovernmental Panel on Climate Change. Contribution of Working Groups I
   Lefebvre W, 2013, ATMOS ENVIRON, V77, P325, DOI 10.1016/j.atmosenv.2013.05.026
   Lefebvre W, 2011, ATMOS ENVIRON, V45, P6705, DOI 10.1016/j.atmosenv.2011.08.033
   Lefebvre Wouter, 2013, Validation of the IFDM-Model for Use in Urban Applications
   Lemke B, 2012, IND HEALTH, V50, P267, DOI 10.2486/indhealth.MS1352
   Li HD, 2018, SCI TOTAL ENVIRON, V624, P262, DOI 10.1016/j.scitotenv.2017.11.360
   Liljegren James C., 2008, Journal of Occupational and Environmental Hygiene, V5, P645, DOI 10.1080/15459620802310770
   Ludlow D., 2016, P 21 INT C URB PLANN, P863
   Marando F, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103564
   Marconcini M, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00580-5
   Meerdink SK, 2019, REMOTE SENS ENVIRON, V230, DOI 10.1016/j.rse.2019.05.015
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mitraka Z, 2015, REMOTE SENS-BASEL, V7, P4139, DOI 10.3390/rs70404139
   Mitraka Z, 2012, REMOTE SENS ENVIRON, V117, P125, DOI 10.1016/j.rse.2011.06.025
   Parlow E, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13183598
   Schwaab J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26768-w
   Stagakis S, 2019, ATMOS ENVIRON, V201, P278, DOI 10.1016/j.atmosenv.2019.01.009
   Sun T, 2017, GEOSCI MODEL DEV, V10, P2875, DOI 10.5194/gmd-10-2875-2017
   The European Commission, 2019, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions
   Think Nature, 2019, Nature-Based Solutions Handbook
   Tuholske C, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2024792118
   UN, 2022, REP C PART SERV M PA
   Understanding Urban Metabolism, 2015, A Tool for Urban Planning
   Voogt JA, 2000, J APPL METEOROL, V39, P1679, DOI 10.1175/1520-0450-39.10.1679
   Wendnagel-Beck A, 2021, URBAN PLAN, V6, P321, DOI 10.17645/up.v6i4.4515
   Willett KM, 2012, INT J CLIMATOL, V32, P161, DOI 10.1002/joc.2257
   Xu W, 2008, REMOTE SENS ENVIRON, V112, P3493, DOI 10.1016/j.rse.2008.04.009
NR 63
TC 2
Z9 2
U1 9
U2 14
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD SEP 27
PY 2023
VL 13
IS 1
AR 16251
DI 10.1038/s41598-023-43371-9
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA X7AX4
UT WOS:001099946000058
PM 37758785
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Colding, J
   Samuelsson, K
   Marcus, L
   Gren, Å
   Legeby, A
   Pont, MB
   Barthel, S
AF Colding, Johan
   Samuelsson, Karl
   Marcus, Lars
   Gren, Asa
   Legeby, Ann
   Pont, Meta Berghauser
   Barthel, Stephan
TI Frontiers in Social-Ecological Urbanism
SO LAND
LA English
DT Article
DE social-ecological systems; urban design; climate-change adaptation;
   ecosystem services; cognitive resilience building
ID SPATIAL MORPHOLOGY; ECOSYSTEM SERVICES; CITIES; RESILIENCE; COMMUNITY;
   HABITAT; SPACE; CONNECTEDNESS; CONSERVATION; BIODIVERSITY
AB This paper describes a new approach in urban ecological design, referred to as social- ecological urbanism (SEU). It draws from research in resilience thinking and space syntax in the analysis of relationships between urban processes and urban form at the microlevel of cities, where social and ecological services are directly experienced by urban dwellers. The paper elaborates on three types of media for urban designers to intervene in urban systems, including urban form, institutions, and discourse, that together function as a significant enabler of urban change. The paper ends by presenting four future research frontiers with a potential to advance the field of social-ecological urbanism: (1) urban density and critical biodiversity thresholds, (2) human and non-human movement in urban space, (3) the retrofitting of urban design, and (4) reversing the trend of urban ecological illiteracy through affordance designs that connect people with nature and with each other.
C1 [Colding, Johan; Samuelsson, Karl; Barthel, Stephan] Univ Gavle, Dept Bldg Engn Energy Syst & Sustainabil Sci, Kungsbacksvagen 47, SE-80176 Gavle, Sweden.
   [Colding, Johan; Gren, Asa] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, POB 50005, SE-11418 Stockholm, Sweden.
   [Samuelsson, Karl; Pont, Meta Berghauser] Univ Gavle, Dept Comp & Geospatial Sci, Kungsbacksvagen 47, SE-80176 Gavle, Sweden.
   [Marcus, Lars] Chalmers Univ Technol, Dept Architecture & Civil Engn, SE-41296 Gothenburg, Sweden.
   [Legeby, Ann] KTH, Sch Architecture, Royal Inst Technol, SE-10044 Stockholm, Sweden.
   [Barthel, Stephan] Stockholm Univ, Stockholm Resilience Ctr, Kraftriket 2B, SE-10691 Stockholm, Sweden.
C3 University of Gavle; Royal Swedish Academy of Sciences; Beijer Institute
   of Ecological Economics; University of Gavle; Chalmers University of
   Technology; Royal Institute of Technology; Stockholm University
RP Colding, J (corresponding author), Univ Gavle, Dept Bldg Engn Energy Syst & Sustainabil Sci, Kungsbacksvagen 47, SE-80176 Gavle, Sweden.; Colding, J (corresponding author), Royal Swedish Acad Sci, Beijer Inst Ecol Econ, POB 50005, SE-11418 Stockholm, Sweden.
EM johanc@beijer.kva.se; karl.samuelsson@hig.se; lars.marcus@chalmers.se;
   asa.gren@beijer.kva.se; ann.legeby@arch.kth.se;
   meta.berghauserpont@chalmers.se; stephan.barthel@hig.se
RI Colding, Johan/AAB-7047-2019; Samuelsson, Karl/AAA-8709-2019; barthel,
   stephan/AAE-8367-2019
OI /0000-0002-3173-853X; Colding, Johan/0000-0001-7644-7448; Berghauser
   Pont, Meta/0000-0002-4000-9064; Gren, Asa/0000-0002-9021-1033; barthel,
   stephan/0000-0003-2637-2024
FU University of Gavle - FORMAS/the Swedish Research Council for
   Environment, Agricultural Sciences and Spatial Planning; Experiential
   Analyses for Urban Social Sustainability (ZEUS) [2016-01193]; Stockholm
   Resilience Centre [201700937]; Swedish Research Council for Environment,
   Agricultural Sciences and Spatial Planning (FORMAS); Stockholm County
   Council; Stockholm University [20160884]; Beijer Institute of Ecological
   Economics, Stockholm, Sweden - FORMAS/the Swedish Research Council for
   Environment University [2018-00281]; Formas [2016-01193, 2018-00281]
   Funding Source: Formas
FX Johan Colding, Karl Samuelsson, and Stephan Barthel's work has partly
   been funded by the University of Gavle. Samuelsson and Barthel's work
   have also been funded by FORMAS/the Swedish Research Council for
   Environment, Agricultural Sciences and Spatial Planning. The project is
   called Spatial and Experiential Analyses for Urban Social Sustainability
   (ZEUS) (reference number: 2016-01193). Barthel's work is also funded by
   the Stockholm Resilience Centre. Johan Colding and Asa Gren's work has
   also been partly funded through a research grant (reference number:
   201700937) received from the Swedish Research Council for Environment,
   Agricultural Sciences and Spatial Planning (FORMAS), and through means
   provided by the Stockholm County Council and the Stockholm University
   (SU-SLL Grant 2017: no. 20160884), and from core funding provided by the
   Beijer Institute of Ecological Economics, Stockholm, Sweden. Meta
   Berghauser Pont and Lars Marcus' work has partly been funded by
   Chalmers. Berghauser Pont's work has also been funded by FORMAS/the
   Swedish Research Council for Environment University (2018-00281).
CR Aalto HE, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030717
   Abd Elrahman AS, 2021, AIN SHAMS ENG J, V12, P1163, DOI 10.1016/j.asej.2020.04.020
   Abson DJ., 2017, AMBIO, V46, P30, DOI [10.1007/s13280-016-0800-y, DOI 10.1007/s13280-016-0800-y]
   Ahlfeldt G., 2018, Demystifying compact urban growth: Evidence from 300 studies from across the world, DOI 10.1787/bbea8b78-en
   Alberti Marina., 2008, ADV URBAN ECOLOGY IN, DOI [DOI 10.1007/978-0-387-75510-6, 10.1007/978-0-387-75510-6]
   Andersson E, 2022, CURR OPIN ENV SUST, V55, DOI 10.1016/j.cosust.2022.101158
   Andersson E, 2014, URBAN FOR URBAN GREE, V13, P221, DOI 10.1016/j.ufug.2013.11.002
   ANDREN H, 1994, OIKOS, V71, P355, DOI 10.2307/3545823
   [Anonymous], 2018, HOME FUTURE EARTH LO
   [Anonymous], 2015, Principles for Building Resilience: Sustaining Ecosystem Services in Social-Ecological Systems, DOI 10.1017/CBO9781316014240
   [Anonymous], 2013, P 9 INT SPACE SYNTAX
   Barthel S., 2013, Principles of Social-Ecological Urbanism
   Barthel S, 2022, NORD SOC WORK RES, V12, P310, DOI 10.1080/2156857X.2021.1947876
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Batty M, 2013, NEW SCIENCE OF CITIES, P1
   Beenackers MA, 2018, HEALTH PLACE, V53, P79, DOI 10.1016/j.healthplace.2018.06.010
   Bendt P, 2013, LANDSCAPE URBAN PLAN, V109, P18, DOI 10.1016/j.landurbplan.2012.10.003
   Beninde J, 2015, ECOL LETT, V18, P581, DOI 10.1111/ele.12427
   Berghauser Pont M., 2017, P 11 INT SPACE SYNTA
   Berkes F., 1998, Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience
   Berkes F., 2009, Navigating Social-Ecological Systems: Building Resilience for Complexity and Change
   Bernow R., 2011, VARDERING STADSKVALI
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Botkin D.B., 1997, Urban Ecosystems, V1, P3, DOI 10.1023/A:1014354923367
   Carmona M, 2019, J URBAN DES, V24, P1, DOI 10.1080/13574809.2018.1472523
   Carmona MatthewTim Heath., 2010, PUBLIC PLACES URBAN
   Chawla L., 2007, Environmental Education Research, V13, P437, DOI DOI 10.1080/13504620701581539
   Chen THK, 2020, REMOTE SENS ENVIRON, V251, DOI 10.1016/j.rse.2020.112096
   Cheng JCH, 2012, ENVIRON BEHAV, V44, P31, DOI 10.1177/0013916510385082
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Colding J, 2022, SOC INCL, V10, P103, DOI 10.17645/si.v10i1.4862
   Colding J, 2006, AMBIO, V35, P237, DOI 10.1579/05-A-098R.1
   Colding J, 2020, ONE EARTH, V3, P392, DOI 10.1016/j.oneear.2020.09.005
   Colding J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114394
   Colding J, 2020, LAND-BASEL, V9, DOI 10.3390/land9050162
   Colding J, 2019, ECOL SOC, V24, DOI 10.5751/ES-10598-240102
   Colding J, 2017, J CLEAN PROD, V164, P95, DOI 10.1016/j.jclepro.2017.06.191
   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
   Collins JP, 2000, AM SCI, V88, P416
   Conrad Diane., 2015, CREATING TOGETHER PA
   d'Amour CB, 2017, P NATL ACAD SCI USA, V114, P8939, DOI 10.1073/pnas.1606036114
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Engemann K, 2019, P NATL ACAD SCI USA, V116, P5188, DOI 10.1073/pnas.1807504116
   Ernstson H, 2008, ECOL SOC, V13
   EVANS GW, 1992, J ENVIRON PSYCHOL, V12, P163, DOI 10.1016/S0272-4944(05)80068-4
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-09088-210444
   Folke Carl, 2003, NAVIGATING SOCIAL EC, P352, DOI [10.1017/cbo9780511541957.020, DOI 10.1017/CBO9780511541957.020]
   Foucault M., 1984, The Order of Discourse: Language and Translation in Politics
   Gibson J. J., 1979, The ecological approach to visual perception, DOI DOI 10.4324/9781315740218
   Giusti M., 2014, Children Youth and Environments, V24, P16, DOI 10.7721/chilyoutenvi.24.3.0016
   Glasgow TE, 2019, J ENVIRON PSYCHOL, V66, DOI 10.1016/j.jenvp.2019.101345
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Gren Å, 2019, AMBIO, V48, P580, DOI 10.1007/s13280-018-1087-y
   Gunder M, 2016, EUR PLAN STUD, V24, P21, DOI 10.1080/09654313.2015.1067291
   Haase D., 2021, Sustainable Land Management in a European Context, P305, DOI [10.1007/978-3-030-50841-8_16, DOI 10.1007/978-3-030-50841, 10.1007/978-3-030-50841-8, DOI 10.1007/978-3-030-50841-8]
   Hanna Susan., 1996, RIGHTS NATURE ECOLOG
   Hartig T, 2016, SCIENCE, V352, P938, DOI 10.1126/science.aaf3759
   Healy P., 2007, URBAN COMPLEXITY SPA
   Hedblom M, 2008, LANDSCAPE URBAN PLAN, V84, P62, DOI 10.1016/j.landurbplan.2007.06.007
   Heller AS, 2020, NAT NEUROSCI, V23, P800, DOI 10.1038/s41593-020-0636-4
   Hess C., 2008, MAPPING NEW COMMONS, DOI DOI 10.2139/SSRN.1356835
   HILLIER B, 1993, ENVIRON PLANN B, V20, P29, DOI 10.1068/b200029
   Hillier B, 2005, LECT NOTES COMPUT SC, V3693, P475
   Hillier B, 1984, SOCIAL LOGIC SPACE
   Hillier B., 1996, SPACE IS MACHINE
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1995, P44
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Hunter MR, 2019, FRONT PSYCHOL, V10, DOI 10.3389/fpsyg.2019.00722
   IPCC, 2021, Climate Change 2021: Phys. Sci. basis. Contribution working Group I to Sixth Assess. Rep. Intergovernmental Panel Climate Chang, DOI DOI 10.1017/9781009157896.001
   Ives CD, 2017, CURR OPIN ENV SUST, V26-27, P106, DOI 10.1016/j.cosust.2017.05.005
   Jackson LE, 2003, LANDSCAPE URBAN PLAN, V64, P191, DOI 10.1016/S0169-2046(02)00230-X
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kaiser FG, 2014, EUR REV APPL PSYCHOL, V64, P269, DOI 10.1016/j.erap.2014.09.001
   Kwan Mei-Po., 2003, J GEOGR SYST, V5, P129, DOI DOI 10.1007/S101090300107
   Larice MichaelElizabeth Macdonald., 2013, URBAN DESIGN READER
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Le Roux DS, 2014, LANDSCAPE URBAN PLAN, V125, P57, DOI 10.1016/j.landurbplan.2014.01.015
   Lederbogen F, 2011, NATURE, V474, P498, DOI 10.1038/nature10190
   Legeby A., 2013, PATTERNS COPRESENCE
   Lelieveld J, 2020, CARDIOVASC RES, V116, P1910, DOI 10.1093/cvr/cvaa025
   Li HD, 2010, J CHEMOMETR, V24, P418, DOI 10.1002/cem.1300
   Lindborg R, 2008, AGR ECOSYST ENVIRON, V125, P213, DOI 10.1016/j.agee.2008.01.006
   Lü GN, 2019, INT J GEOGR INF SCI, V33, P346, DOI 10.1080/13658816.2018.1533136
   MacKerron G, 2013, GLOBAL ENVIRON CHANG, V23, P992, DOI 10.1016/j.gloenvcha.2013.03.010
   Marco teBrommelstroet., 2017, Applied Mobilities, V2, P1, DOI DOI 10.1080/23800127.2017.1283122
   Marcus L.H, 2016, P ISUF 2015 22 INT C
   Marcus L, 2019, URBAN MORPHOL, V23, P115
   Marcus L, 2017, ENVIRON PLAN B-URBAN, V44, P204, DOI 10.1177/0265813516685565
   Marcus L, 2016, J URBAN DES, V21, P439, DOI 10.1080/13574809.2016.1184565
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Marshall WE, 2014, J TRANSP HEALTH, V1, P326, DOI 10.1016/j.jth.2014.06.002
   Marshall WE, 2010, TRANSPORT RES REC, P103, DOI 10.3141/2198-12
   Mayer FS, 2004, J ENVIRON PSYCHOL, V24, P503, DOI 10.1016/j.jenvp.2004.10.001
   McGrath B., 2020, Social Urbanism in Latin America
   McManus R., 2007, URBAN HIST, V34, P317, DOI DOI 10.1017/S096392680700466X
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Melles S, 2003, CONSERV ECOL, V7
   Miller JR, 2005, TRENDS ECOL EVOL, V20, P430, DOI 10.1016/j.tree.2005.05.013
   Neuvel JMM, 2010, INT J WATER RESOUR D, V26, P283, DOI 10.1080/07900621003655668
   NEWMAN PWG, 1989, J AM PLANN ASSOC, V55, P24, DOI 10.1080/01944368908975398
   Nilsson M., 2014, Environmental Methods for Transport Noise Reduction
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   Onishi A, 2010, URBAN FOR URBAN GREE, V9, P323, DOI 10.1016/j.ufug.2010.06.002
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Ostrom E., 1996, Rights to Nature: Ecological, Economic, Cultural, and Political Principles of Institutions for the Environment, P127
   Ottelé M, 2010, ECOL ENG, V36, P154, DOI 10.1016/j.ecoleng.2009.02.007
   Passchier-Vermeer W, 2000, ENVIRON HEALTH PERSP, V108, P123, DOI 10.1289/ehp.00108s1123
   Perini K, 2013, URBAN ECOSYST, V16, P265, DOI 10.1007/s11252-012-0262-3
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pont M.B., 2010, SPACEMATRIX SPACE DE
   Radford JQ, 2005, BIOL CONSERV, V124, P317, DOI 10.1016/j.biocon.2005.01.039
   Redman CL, 2004, ECOSYSTEMS, V7, P161, DOI 10.1007/s10021-003-0215-z
   Restall B, 2015, J ENVIRON MANAGE, V159, P264, DOI 10.1016/j.jenvman.2015.05.022
   Revell G, 2014, SUSTAINABILITY-BASEL, V6, P5423, DOI 10.3390/su6085423
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Samuelsson K., 2016, SOCIAL EKOLOGISK STA
   Samuelsson K, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104176
   Samuelsson K, 2021, FRONT BUILT ENVIRON, V7, DOI 10.3389/fbuil.2021.735221
   Samuelsson K, 2019, LANDSCAPE URBAN PLAN, V187, P70, DOI 10.1016/j.landurbplan.2019.03.015
   Samuelsson K, 2018, LANDSCAPE URBAN PLAN, V171, P7, DOI 10.1016/j.landurbplan.2017.11.009
   Schandl H, 2012, CURR OPIN ENV SUST, V4, P378, DOI 10.1016/j.cosust.2012.08.007
   Scoppa M.D, 2013, THESIS I TECHNOLOGY
   Shoval N, 2018, CITIES, V72, P34, DOI 10.1016/j.cities.2017.08.005
   Soga M, 2016, BIOL CONSERV, V203, P143, DOI 10.1016/j.biocon.2016.09.020
   Son JY, 2012, ENVIRON HEALTH PERSP, V120, P566, DOI 10.1289/ehp.1103759
   Stavroulaki G., 2019, P 12 SPACE SYNTAX S, P291
   Steiner Frederick, 2004, Urban Ecosystems, V7, P179, DOI 10.1023/B:UECO.0000044035.22316.d1
   Talen E., 2003, J URBAN DES, V8, P195, DOI DOI 10.1080/1357480032000155141
   van Heezik Y, 2021, LANDSCAPE URBAN PLAN, V213, DOI 10.1016/j.landurbplan.2021.104135
   Van Renterghem T, 2015, APPL ACOUST, V92, P86, DOI 10.1016/j.apacoust.2015.01.004
   Wirth L, 1938, AM J SOCIOL, V44, P1, DOI 10.1086/217913
   Young C., 2008, Urban Habitats, V5, P84
   Zylstra M., 2014, Springer Science Reviews, V2, P119, DOI [10.1007/s40362-014-0021-3, DOI 10.1007/S40362-014-0021-3]
NR 135
TC 10
Z9 10
U1 11
U2 65
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUN
PY 2022
VL 11
IS 6
AR 929
DI 10.3390/land11060929
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 2K2UM
UT WOS:000816197600001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Gao, YJ
   Xie, SH
   Frost, CJ
AF Gao, Yunjiao
   Xie, Shenghua
   Frost, Caren J.
TI An ecological investigation of resilience among rural-urban migrant
   adolescents of low socioeconomic status families in China
SO JOURNAL OF COMMUNITY PSYCHOLOGY
LA English
DT Article
DE China; ecosystem; protective factors; resilience; rural-urban migration;
   socioeconomic status; surveys and questionnaires
ID MENTAL-HEALTH; CHILDREN; MIGRATION; DELINQUENCY; COMPETENCE; PARENT;
   ENVIRONMENTS; MALTREATMENT; ACHIEVEMENT; PREVALENCE
AB The present study aims to explore the mechanism of resilience among rural-urban migrant adolescents of low socioeconomic status (SES) families in China with the ecological system perspective. Selecting 946 rural-urban migrant adolescents from the China Education Panel Survey, we used latent class analyses to distinguish different levels of resilience among migrant adolescents from low-SES families, and logistic regressions to identify factors associated with resilience and to examine the cumulative risk and protection models. The findings show that parental expectation, teacher support and organised neighbourhood are salient resilience-promoting factors; and resilience happens only if protective factors accumulate enough at multiple systems to compensate the negative effect of cumulative community risk. The study describes the importance of a protective environment in the domains of family, school and neighbourhood on the resilience of this group, and suggest intervention programmes should extend the paradigm from child-centred approach to environment-focused approach to potentiate the positive development of this population.
C1 [Gao, Yunjiao] Wuhan Univ Technol, Sch Law Humanities & Sociol, Dept Sociol, Wuhan, Hubei, Peoples R China.
   [Xie, Shenghua] Cent China Normal Univ, Coll Publ Adm, Wuhan, Hubei, Peoples R China.
   [Frost, Caren J.] Univ Utah, Coll Social Work, Salt Lake City, UT USA.
C3 Wuhan University of Technology; Central China Normal University; Utah
   System of Higher Education; University of Utah
RP Xie, SH (corresponding author), Cent China Normal Univ, Coll Publ Adm, Luoyu Rd 152, Wuhan 430079, Hubei, Peoples R China.
EM shenghua.xie@outlook.com
RI Gao, Yunjiao/KUD-9145-2024; Frost, Caren/I-3896-2015; Xie,
   Shenghua/H-3730-2018
OI Frost, Caren/0000-0003-3934-3724; Gao, Yunjiao/0000-0002-1889-4589; Xie,
   Shenghua/0000-0002-1222-8921
FU National Social Science Fund of China [18CSH053]
FX National Social Science Fund of China, Grant/Award Number: 18CSH053
CR Catalano RF, 2004, J SCHOOL HEALTH, V74, P252, DOI 10.1111/j.1746-1561.2004.tb08281.x
   Chamberlain P., 2003, Treating chronic juvenile offenders: Advances made through the Oregon multidimensional treatment foster care model
   Chan KW, 2010, POPUL DEV REV, V36, P357, DOI 10.1111/j.1728-4457.2010.00333.x
   Chen BH, 2014, APPL MECH MATER, V479-480, P75, DOI 10.4028/www.scientific.net/AMM.479-480.75
   Chen S, 2013, INT REV EDUC, V59, P693, DOI 10.1007/s11159-013-9390-0
   Cheung NWT, 2013, SOC SCI MED, V93, P121, DOI 10.1016/j.socscimed.2013.06.021
   Jalón MJDA, 2013, PSICOTHEMA, V25, P206, DOI 10.7334/psicothema2012.312
   Duan Chengrong., 2013, S CHINA POPULATION, V28, P44
   Englund NM, 2000, CHILD DEV, V71, P1049, DOI 10.1111/1467-8624.00208
   Fang L, 2016, J HAPPINESS STUD, V17, P507, DOI 10.1007/s10902-014-9604-6
   Fergus S, 2005, ANNU REV PUBL HEALTH, V26, P399, DOI 10.1146/annurev.publhealth.26.021304.144357
   Frazier PA, 2004, J COUNS PSYCHOL, V51, P115, DOI 10.1037/0022-0167.51.1.115
   Gao YJ, 2018, YOUTH SOC, V50, P506, DOI 10.1177/0044118X15611308
   Gao YJ, 2017, CHILD ABUSE NEGLECT, V65, P171, DOI 10.1016/j.chiabu.2017.01.023
   Gao YJ, 2016, INT J OFFENDER THER, V60, P38, DOI 10.1177/0306624X14547495
   GARMEZY N, 1984, CHILD DEV, V55, P97, DOI 10.2307/1129837
   Goodburn C, 2009, INT J EDUC DEV, V29, P495, DOI 10.1016/j.ijedudev.2009.04.005
   Guo J, 2011, ASIAN SOC WORK POLIC, V5, P123, DOI 10.1111/j.1753-1411.2011.00054.x
   Guo Y, 2019, CHILD YOUTH SERV REV, V101, P341, DOI 10.1016/j.childyouth.2019.04.017
   Hu BY, 2010, EARLY CHILD EDUC J, V37, P477, DOI 10.1007/s10643-009-0362-8
   Huang GY, 2015, CHINESE SOCIOL REV, V47, P287, DOI 10.1080/21620555.2015.1032161
   Jaffee SR, 2007, CHILD ABUSE NEGLECT, V31, P231, DOI 10.1016/j.chiabu.2006.03.011
   Jia XJ, 2017, INT J PSYCHOL, V52, P327, DOI 10.1002/ijop.12280
   Jiang S, 2018, J COMMUNITY PSYCHOL, V46, P213, DOI 10.1002/jcop.21934
   Li CK, 2018, CHILD YOUTH SERV REV, V89, P6, DOI 10.1016/j.childyouth.2018.04.017
   Li HB, 2019, SOC INDIC RES, V145, P703, DOI 10.1007/s11205-017-1757-3
   Liu YT, 2006, SOC POLICY ADMIN, V40, P121, DOI 10.1111/j.1467-9515.2006.00480.x
   Luthar SS, 2000, CHILD DEV, V71, P543, DOI 10.1111/1467-8624.00164
   Ma GM, 2019, CHILD YOUTH SERV REV, V99, P165, DOI 10.1016/j.childyouth.2019.02.002
   Masten AS, 2018, CHILDREN-BASEL, V5, DOI 10.3390/children5070098
   Masten AS, 2014, CHILD DEV, V85, P6, DOI 10.1111/cdev.12205
   Masten AS, 1998, AM PSYCHOL, V53, P205, DOI 10.1037/0003-066X.53.2.205
   Masyn K., 2013, The Oxford handbook of quantitative methods: Statistical analyses, V2, P551, DOI DOI 10.1093/OXFORDHB/9780199934898.013.0025
   McLoyd VC, 1998, AM PSYCHOL, V53, P185, DOI 10.1037/0003-066X.53.2.185
   Muthén B, 2000, ALCOHOL CLIN EXP RES, V24, P882, DOI 10.1097/00000374-200006000-00020
   Najman JM, 2010, AM J PUBLIC HEALTH, V100, P1719, DOI 10.2105/AJPH.2009.180943
   Nylund KL, 2007, STRUCT EQU MODELING, V14, P535, DOI 10.1080/10705510701575396
   O'Donnell DA, 2002, CHILD DEV, V73, P1265, DOI 10.1111/1467-8624.00471
   Repetti RL, 2002, PSYCHOL BULL, V128, P330, DOI 10.1037/0033-2909.128.2.330
   Reynolds AJ, 1998, AM J ORTHOPSYCHIAT, V68, P84, DOI 10.1037/h0080273
   Rosnati R, 1997, J ADOLESCENCE, V20, P617, DOI 10.1006/jado.1997.0115
   RUTTER M, 1985, BRIT J PSYCHIAT, V147, P598, DOI 10.1192/bjp.147.6.598
   Schoon I, 2006, RISK AND RESILIENCE: ADAPTATIONS IN CHANGING TIMES, P1, DOI 10.2277/ 0521833744
   Shen YZ, 2018, ASIAN J CRIMINOL, V13, P207, DOI 10.1007/s11417-018-9267-z
   Thornberry TP, 2009, J YOUTH ADOLESCENCE, V38, P312, DOI 10.1007/s10964-008-9337-0
   Tiet QQ, 2010, J CHILD FAM STUD, V19, P360, DOI 10.1007/s10826-009-9307-5
   Ungar M, 2013, J CHILD PSYCHOL PSYC, V54, P348, DOI 10.1111/jcpp.12025
   Wang JL, 2015, PSYCHOL REP, V117, P354, DOI 10.2466/16.17.PR0.117c21z8
   World Bank, 2013, CHINA 2030: BUILDING A MODERN, HARMONIOUS, AND CREATIVE SOCIETY, P1, DOI 10.1596/978-0-8213-9545-5
   Wu QB, 2015, SOC SCI MED, V132, P270, DOI 10.1016/j.socscimed.2014.10.050
   Wu QB, 2014, BRIT J SOC WORK, V44, P636, DOI 10.1093/bjsw/bcs139
   Wu QB, 2011, J COMMUNITY PSYCHOL, V39, P421, DOI 10.1002/jcop.20443
   Wu QB, 2010, BRIT J SOC WORK, V40, P2578, DOI 10.1093/bjsw/bcq051
   Xu Y, 2019, J CHILD FAM STUD, V28, P1635, DOI 10.1007/s10826-019-01382-z
   Ying LH, 2018, CHILD CARE HLTH DEV, V44, P908, DOI 10.1111/cch.12610
   Ying LH, 2019, CHILD PSYCHIAT HUM D, V50, P142, DOI 10.1007/s10578-018-0827-3
   Young NAE, 2018, CHINA QUART, V236, P1063, DOI 10.1017/S0305741018001303
   Yuan XJ, 2019, ASIAN J SOC PSYCHOL, V22, P113, DOI 10.1111/ajsp.12345
   ZHANG T, 2007, YOUTH STUDIES, V6, P30
   Zhang ZN, 2017, SOC SCI RES, V61, P57, DOI 10.1016/j.ssresearch.2016.06.020
NR 60
TC 16
Z9 16
U1 8
U2 98
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0090-4392
EI 1520-6629
J9 J COMMUNITY PSYCHOL
JI J. Community Psychol.
PD APR
PY 2020
VL 48
IS 3
BP 862
EP 878
DI 10.1002/jcop.22303
EA DEC 2019
PG 17
WC Public, Environmental & Occupational Health; Psychology,
   Multidisciplinary; Social Work
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Psychology; Social Work
GA KX4EY
UT WOS:000504115800001
PM 31872898
DA 2025-04-22
ER

PT J
AU Waa, AM
   Pearson, AL
   Ryks, JL
AF Waa, Andrew M.
   Pearson, Amber L.
   Ryks, John L.
TI Premature mortality resilience and wellbeing within urban Maori
   communities
SO HEALTH & PLACE
LA English
DT Article
DE Well-being; Resilience; Ethnicity; Inequality; Indigenous; Urban; Maori
ID HEALTH RESILIENCE; ENVIRONMENT; INEQUALITIES; DEPRIVATION; AREAS
AB Maori (the indigenous peoples of Aotearoa New Zealand) experience of colonisation has negatively affected access to many of the resources (e.g. income, adequate housing) that enable health and well-being. However Maori have actively responded to the challenges they have faced. With the majority of the Maori population now living in urban settings this exploratory study aimed to understand factors contributing to mortality resilience despite exposure to socio-economic adversity with reference to Maori well-being. Resilient urban neighborhoods were defined as those that had lower than expected premature mortality among Maori residents despite high levels of socio-economic adversity. Selected resilience indicators theoretically linked to a Maori well-being framework were correlated with the novel Maori RINZ resilience index. Of the selected indicators, only exposure to crime showed a clear gradient across the resilience index as predicted by the Maori well-being framework. Future research is needed as unclear trends for other indicators may reflect limitations in the indicators used or the need to develop a more comprehensive measure of well-being.
C1 [Waa, Andrew M.; Pearson, Amber L.] Univ Otago, Dept Publ Hlth, Wellington, New Zealand.
   [Pearson, Amber L.] Michigan State Univ, Dept Geog, E Lansing, MI USA.
   [Ryks, John L.] Univ Waikato, Natl Inst Demog & Econ Anal, Hamilton, New Zealand.
C3 University of Otago; Michigan State University; University of Waikato
RP Waa, AM (corresponding author), Univ Otago, Dept Publ Hlth, Wellington, New Zealand.
RI Pearson, Amber/ABI-1631-2022; Waa, Andrew/AAO-6430-2020
OI Ryks, John/0000-0002-8232-2526
FU New Zealand Government's Ministry of Business, Innovation, and
   Employment [UOOX1203-I]; New Zealand Ministry of Business, Innovation &
   Employment (MBIE) [UOOX1203] Funding Source: New Zealand Ministry of
   Business, Innovation & Employment (MBIE)
FX The authors wish to acknowledge Te Puni Kokiri (Ministry of Maori
   Development) for supplying 2013 Census New Zealand and Ministry of
   Education data used in this paper. We would also like to acknowledge the
   New Zealand Police for supplying crime data. Thank you to
   Philippa-Bowden Chapman (University of Otago) and Bridget Robson
   (University of Otago) for reviewing draft copies of this paper. This
   paper was produced as part of the Resilient Urban Futures research
   programme funded by the New Zealand Government's Ministry of Business,
   Innovation, and Employment (UOOX1203-I).
CR Adler NE, 1999, ANN NY ACAD SCI, V896, P3, DOI 10.1111/j.1749-6632.1999.tb08101.x
   [Anonymous], REV CIT NZ C 22 24 F
   [Anonymous], WAIK TAIN ENV PLAN O
   [Anonymous], 2006, MAOR MOB NZ
   [Anonymous], OCCASIONAL B
   [Anonymous], REBOOTING REGIONS
   [Anonymous], NARROWING GAP MAORI
   [Anonymous], QUAL LIF IND MAOR DI
   [Anonymous], MAORI SOCIAL ISSUES
   [Anonymous], TAONE TUPU ORA INDIG
   [Anonymous], 2014, NZ CENS 2013 HOUSEH
   [Anonymous], INT C SUST ENG SCI A
   [Anonymous], NGAT TOA SETTL STRAT
   [Anonymous], DEEP SETTL NGAT TOA
   [Anonymous], MAI REV
   [Anonymous], NZ PER LIF TABL 2010
   [Anonymous], POP HLTH C AUCKL
   [Anonymous], PLANNING Q
   [Anonymous], INDEPENDENT ASS RECO
   Atkinson June., 2014, NZDep2013 Index of Deprivation
   Barcham Manuhia., 1998, Asia Pacific Viewpoint, V39, P303
   Bargh M, 2013, AUST J POLIT SCI, V48, P445, DOI 10.1080/10361146.2013.841123
   Bartley M., 2006, CAPABILITY RESILIENC, DOI DOI 10.1002/14651858.CD005652
   Cairns JM, 2012, HEALTH PLACE, V18, P928, DOI 10.1016/j.healthplace.2012.02.011
   Cairns-Nagi JM, 2013, SOC SCI MED, V91, P229, DOI 10.1016/j.socscimed.2013.03.014
   Carver CS, 1998, J SOC ISSUES, V54, P245, DOI 10.1111/0022-4537.641998064
   Deci EL, 2008, J HAPPINESS STUD, V9, P1, DOI 10.1007/s10902-006-9018-1
   Durie M., 1999, HLTH PROMOTION FORUM, V49, P2
   Durie Mason, 2010, Whanau Ora: Report of the Taskforce on Whanau-Centred Initiatives
   Edwards A., 2015, PROG HUM GEOG, P1
   Grotberg E.H., 2003, Resilience for today: Gaining strength from adversity
   Kingham S, 2008, J EXPO SCI ENV EPID, V18, P200, DOI 10.1038/sj.jes.7500584
   Lavergne M Ruth, 2013, Healthc Policy, V8, P79
   Love C., 2004, Extensions on Te Wheke (Working Paper)
   Ministry of Health, 2015, Maori health chart book 2015
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Pearce J, 2008, J EPIDEMIOL COMMUN H, V62, P198, DOI 10.1136/jech.2006.059196
   Pearce J, 2006, J EPIDEMIOL COMMUN H, V60, P389, DOI 10.1136/jech.2005.043281
   Pearce J, 2008, URBAN POLICY RES, V26, P213, DOI 10.1080/08111140701697610
   Pearce JR, 2011, INT J EQUITY HEALTH, V10, DOI 10.1186/1475-9276-10-28
   Pearce JR, 2011, SOC SCI MED, V73, P410, DOI 10.1016/j.socscimed.2011.05.039
   Pearson AL, 2014, SOC INDIC RES, V119, P281, DOI 10.1007/s11205-013-0489-2
   Pearson AL, 2014, BUILD RES INF, V42, P182, DOI 10.1080/09613218.2014.850603
   Pearson AL, 2013, SOC SCI MED, V91, P238, DOI 10.1016/j.socscimed.2012.09.046
   Salmond C., 2007, NZDep2006 index of deprivation, 5541
   Sampson RJ, 2003, PERSPECT BIOL MED, V46, pS53, DOI 10.1353/pbm.2003.0073
   Sanders AE, 2008, AM J PUBLIC HEALTH, V98, P1101, DOI 10.2105/AJPH.2007.119495
   Sen Amartya, 1999, Development as Freedom
   Shortt NK, 2012, HEALTH PLACE, V18, P1132, DOI 10.1016/j.healthplace.2012.04.008
   Sorrenson M. P. K., 1956, The Journal of the Polynesian Society, V65, P183
   Ungar M, 2008, BRIT J SOC WORK, V38, P218, DOI 10.1093/bjsw/bc1343
   Wells Claudia, 2008, Health Stat Q, P6
   Wilkinson RG, 1998, SOCIOL HEALTH ILL, V20, P578, DOI 10.1111/1467-9566.00120
NR 53
TC 7
Z9 7
U1 0
U2 12
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1353-8292
EI 1873-2054
J9 HEALTH PLACE
JI Health Place
PD JAN
PY 2017
VL 43
BP 49
EP 56
DI 10.1016/j.healthplace.2016.11.010
PG 8
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA EL1SX
UT WOS:000394402400007
PM 27898311
DA 2025-04-22
ER

PT J
AU Li, XC
   Liu, YF
   Zhang, WY
   Wang, YQ
AF Li, Xunchang
   Liu, Yifan
   Zhang, Wenyong
   Wang, Yaqian
TI Research on an Evaluation Model of Urban Seismic Resilience Based on
   System Dynamics: A Case Study of Chengdu, China
SO SUSTAINABILITY
LA English
DT Article
DE public safety; resilience; urban system; system dynamics; earthquake
   disaster; simulation
AB In response to the frequent occurrence of earthquakes in Chengdu, which poses a great threat to the economy, social development, production, and people's lives, in this study, we construct an index evaluation system and a system dynamics model for urban seismic resilience based on an analysis of the interaction between earthquake disasters and the urban system. Four types of schemes, namely, the current continuity type, economic development type, government intervention type, and resilience construction type, were designed, and the dynamic evaluation and simulation prediction of Chengdu's seismic resilience capacity under each scheme were conducted. The research results show that, compared with the other three schemes, the resilience construction type has better universality and expansibility in terms of improving Chengdu's seismic resilience. Therefore, it is necessary to maintain a certain level of economic development, to attach importance to the construction of monitoring and warning systems, and to strive to improve emergency rescue capabilities and disaster awareness education. The model and evaluation indicators have strong applicability, and the research results can provide a theoretical reference for the evaluation of seismic resilience in Chengdu.
C1 [Li, Xunchang; Liu, Yifan; Wang, Yaqian] Changan Univ, Sch Geol Engn & Geomat, Dept Safety Engn, Xian 710000, Peoples R China.
   [Zhang, Wenyong] East China Survey & Design Inst Co Ltd, China Elect Power Construct Grp, Hangzhou 310000, Peoples R China.
C3 Chang'an University
RP Li, XC (corresponding author), Changan Univ, Sch Geol Engn & Geomat, Dept Safety Engn, Xian 710000, Peoples R China.
EM dcdgx12@chd.edu.cn; liuyifan202305@163.com; 2020126133@chd.edu.cn;
   2020126135@chd.edu.cn
FU Natural Science Basic Research Program of Shaanxi [2022JM-280]
FX Natural Science Basic Research Program of Shaanxi (Program No.
   2022JM-280).
CR Almufti I., 2013, REDITM RATING SYSTEM
   [Anonymous], 2019, EVALUATION DETAILS N
   [Anonymous], 2013, 303522013 GBT STAND
   [Anonymous], 2007, 504132007 GB
   Banica A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020270
   Basaglia A, 2020, B EARTHQ ENG, V18, P6039, DOI 10.1007/s10518-020-00919-8
   Bottero M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080242
   Cao XY, 2023, STRUCT SAF, V103, DOI 10.1016/j.strusafe.2023.102330
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Chen D., 2019, THESIS HUAZHONG U SC
   Cimellaro GP, 2014, EARTHQ ENG STRUCT D, V43, P1763, DOI 10.1002/eqe.2422
   Domaneschi M., 2017, P 16 WORLD C EARTHQ, P482
   Favier P., 2017, P 16 WORLD C EARTHQ, P4415
   Huang P., 2018, THESIS I ENG MECH CH
   [黄莺 Huang Ying], 2020, [安全与环境学报, Journal of Safety and Environment], V20, P2060
   Liu W, 2020, RELIAB ENG SYST SAFE, V203, DOI 10.1016/j.ress.2020.107088
   [刘晓然 Liu Xiaoran], 2013, [自然灾害学报, Journal of Natural Disasters], V22, P71
   Maroufi H, 2022, J ENVIRON PLANN MAN, V65, P675, DOI 10.1080/09640568.2021.1902790
   Tian L.L., 2012, THESIS CAPITAL U EC
   [佟宝全 Tong Baoquan], 2017, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V31, P34
   Vasquez A., 2017, P 16 WORLD C EARTHQ, P4415
   Yi PT, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101529
   Zhang WL, 2017, STRUCT INFRASTRUCT E, V13, P1404, DOI 10.1080/15732479.2016.1271813
   Zhao Jun, 2021, Journal of Physics: Conference Series, DOI 10.1088/1742-6596/2033/1/012124
   Zhao ZJ, 2023, GEOTECH GEOL ENG, V41, P189, DOI 10.1007/s10706-022-02273-9
   Zheng M., 2021, THESIS XIHUA U CHENG
NR 26
TC 3
Z9 3
U1 14
U2 57
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 10112
DI 10.3390/su151310112
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 M2NH0
UT WOS:001028594500001
OA gold
DA 2025-04-22
ER

PT J
AU Berkhout, E
   Sovová, L
   Sonneveld, A
AF Berkhout, Ezra
   Sovova, Lucie
   Sonneveld, Anne
TI The Role of Urban-Rural Connections in Building Food System Resilience
SO SUSTAINABILITY
LA English
DT Article
DE food systems; resilience; urban-rural connectivity; secondary cities;
   digitization; e-commerce; street food vendors
ID POVERTY REDUCTION; SECONDARY TOWNS; STREET VENDORS; AFRICA;
   URBANIZATION; GOVERNANCE; CITIES; POOR; INFRASTRUCTURE; SECURITY
AB This paper investigates food system resilience-conceptualized through the four dimensions of agency, buffering, connectivity, and diversification-from the perspective of rural-urban relations. We consider three cases that capture distinct actor and policy foci in the wider literature on urban-rural interactions. These are secondary cities and their development potential as central nodes in urban-rural food systems, the role of digital infrastructure in shaping food systems resilience, and finally, street food vendors as a particularly vulnerable yet crucial group of actors linking rural food supply with urban demand. We review existing literature within these themes, with a particular focus on the impact of the COVID-19 pandemic on the food systems in middle- and low-income countries. This allows us to examine the relationship between rural-urban connectivity and food system resilience and to identify possible trade-offs. We formulate recommendations for research and policy around the notions of new localities (i.e., considering the interconnectedness of rural and urban food systems across administrative boundaries), smart development (i.e., context-specific approaches building on local strengths), and network governance (i.e., inclusive decision making engaging with diverse stakeholders across multiple scales).
C1 [Berkhout, Ezra] Wageningen Univ & Res, Wageningen Econ Res, Droevendaalsesteeg 4, NL-6708 PB Wageningen, Netherlands.
   [Sovova, Lucie] Wageningen Univ & Res, Rural Sociol Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands.
   [Sonneveld, Anne] Royal Trop Inst KIT, Mauritskade 64, NL-1092 AD Amsterdam, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP Berkhout, E (corresponding author), Wageningen Univ & Res, Wageningen Econ Res, Droevendaalsesteeg 4, NL-6708 PB Wageningen, Netherlands.
EM ezra.berkhout@wur.nl
RI Sovová, Lucie/ITU-7861-2023
OI Sovova, Lucie/0000-0003-2906-2144; Berkhout, Ezra/0000-0003-2536-8912
CR ACI Worldwide Worldwide Research Reveals, 2021, INCR JUN ECOMMERCE S
   Adjognon GS, 2021, FOOD POLICY, V101, DOI 10.1016/j.foodpol.2021.102050
   Aggarwal S., 2020, CEGA WORKING PAPER S
   Amare M, 2021, FOOD POLICY, V101, DOI 10.1016/j.foodpol.2021.102099
   Andersson K., 2016, METROPOLITAN RURALIT, DOI DOI 10.1007/s10460-014-9540-4
   [Anonymous], 1997, Ageing in Asia: The growing need for social protection, P11
   [Anonymous], 2008, World Development Report 2009: Reshaping Economic Geography
   [Anonymous], 2021, Mobile economy Asia Pacific
   [Anonymous], 2018, Women and men in the informal economy: a statistical picture, Vthird
   [Anonymous], 2020, Summary Report
   [Anonymous], 2019, FAOSTAT
   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]
   Arslan A, 2021, J DEV STUD, V57, P544, DOI 10.1080/00220388.2020.1808197
   Balwinder-Singh, 2020, AGR SYST, V185, DOI 10.1016/j.agsy.2020.102954
   Barrett CB, 2021, WORLD DEV, V146, DOI 10.1016/j.worlddev.2021.105612
   Bauchinger L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031280
   Bene C., 2021, Report prepared for the CGIAR COVID-19 Hub Working Group 4
   Béné C, 2020, FOOD SECUR, V12, P805, DOI 10.1007/s12571-020-01076-1
   Berdegue J.A., 2014, CITIES RURAL TRANSFO
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Blay-Palmer A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031325
   Castells-Quintana D, 2020, J DEV STUD, V56, P1663, DOI 10.1080/00220388.2019.1702160
   Cavallo C, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e05676
   Cazzuffi C, 2017, FOOD POLICY, V68, P160, DOI 10.1016/j.foodpol.2017.02.003
   Chang HH, 2021, AM J AGR ECON, V103, P448, DOI 10.1111/ajae.12170
   Chen M, 2020, INDIAN J LABOUR ECON, V63, P41, DOI 10.1007/s41027-020-00254-1
   Christiaensen L, 2021, FOOD POLICY, V99, DOI 10.1016/j.foodpol.2020.101963
   Christiaensen L, 2017, ANNU REV RESOUR ECON, V9, P405, DOI 10.1146/annurev-resource-100516-053453
   Christiaensen L, 2013, AGR ECON-BLACKWELL, V44, P435, DOI 10.1111/agec.12028
   Cities Alliance, 2021, POST COVID 19 SUST R
   Cloke P., 1989, NEW MODELS GEOGRAPHY
   Corburn J, 2020, J URBAN HEALTH, V97, P348, DOI 10.1007/s11524-020-00438-6
   Dannenberg P, 2020, TIJDSCHR ECON SOC GE, V111, P543, DOI 10.1111/tesg.12453
   de Bruin S, 2021, FOOD SECUR, V13, P781, DOI 10.1007/s12571-021-01182-8
   de Steenhuijsen Piters B, 2021, FOOD SYSTEM RESILIEN
   Djurfeldt AA, 2015, GLOB FOOD SECUR-AGR, V4, P1, DOI 10.1016/j.gfs.2014.08.002
   Dolislager M, 2021, J DEV STUD, V57, P571, DOI 10.1080/00220388.2020.1808198
   Dorosh P, 2013, AGR ECON-BLACKWELL, V44, P449, DOI 10.1111/agec.12027
   Duguma LA, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031278
   Ebata A., 2020, IDS Position paper
   ECLAC, 2020, FOOD SYST COVID 19 L
   Egger D, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abe0997
   Fan SG, 2004, CHINA ECON REV, V15, P203, DOI 10.1016/j.chieco.2004.03.001
   FAO, 2021, FOOD SYST TRANSF INT
   Faustin BM, 2020, Open Journal of Social Sciences, V8, P115
   Ferré C, 2012, WORLD BANK ECON REV, V26, P351, DOI 10.1093/wber/lhs007
   Forster PW., 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences, p271a, DOI [10.1109/hicss.2005.615, DOI 10.1109/HICSS.2005.615, 10.1109/HICSS.2005.615]
   Gibson J, 2017, WORLD DEV, V98, P413, DOI 10.1016/j.worlddev.2017.05.014
   Giroux S, 2021, FOOD POLICY, V103, DOI 10.1016/j.foodpol.2020.101997
   GSMA, 2019, The Mobile Economy 2019
   GSMA, 2021, MOB EC SUBSAHARAN AF
   Guo HD, 2021, CHINA AGR ECON REV, V13, P436, DOI 10.1108/CAER-06-2020-0146
   Haggblade S, 2010, WORLD DEV, V38, P1429, DOI 10.1016/j.worlddev.2009.06.008
   Hansen AR, 2020, NAT FOOD, V1, P519, DOI 10.1038/s43016-020-00147-y
   Harvey David, 1973, SOCIAL JUSTICE CITY, DOI DOI 10.1017/S0047279400001094
   Hawkes C., 2020, COVID 19 GLOBAL FOOD
   Hayombe PO, 2019, ROUTL STUD FOOD SOC, P116
   Hazell PBR., 2009, ASIAN GREEN REVOLUTI
   Henderson JV, 2018, ANNU REV ECON, V10, P287, DOI 10.1146/annurev-economics-080217-053207
   Houessou MD, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137313
   Imai KS, 2017, J POLICY MODEL, V39, P963, DOI 10.1016/j.jpolmod.2017.10.002
   Ingelaere B, 2018, WORLD DEV, V105, P273, DOI 10.1016/j.worlddev.2017.12.025
   Jung E, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030411
   Keck M, 2013, ERDKUNDE, V67, P75, DOI 10.3112/erdkunde.2013.01.07
   Kiaka R, 2021, FOOD SECUR, V13, P1263, DOI 10.1007/s12571-021-01162-y
   Kimani J., 2021, IDS B 521
   Kumar P, 2021, AGR SYST, V187, DOI 10.1016/j.agsy.2020.103027
   Lee JN, 2021, AM ECON J-APPL ECON, V13, P38, DOI 10.1257/app.20190067
   Maredia MK, 2022, GLOB FOOD SECUR-AGR, V33, DOI 10.1016/j.gfs.2022.100633
   Moser C, 2009, AGR ECON-BLACKWELL, V40, P281, DOI 10.1111/j.1574-0862.2009.00380.x
   Mukhra R, 2020, ARCH MED RES, V51, P736, DOI 10.1016/j.arcmed.2020.06.003
   Nguyen MH, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13169205
   OECD/SWAC, 2020, Africa's Urbanisation Dynamics 2020: Africapolis, Mapping a New Urban Geography
   Ohnsorge F., 2021, The Long Shadow of Informality: Challenges and Policies
   Patel K, 2014, FOOD SECUR, V6, P861, DOI 10.1007/s12571-014-0391-z
   Potts D, 2018, URBAN STUD, V55, P965, DOI 10.1177/0042098017712689
   Potts D, 2009, ENVIRON URBAN, V21, P253, DOI 10.1177/0956247809103026
   Potts Deborah., 2012, Whatever Happened to Africa's Rapid Urbanisation?
   Raja S., 2021, Opportunity-innovation-equity food systems planning framework
   Reardon T., 2020, Covid-19 and global food security
   Reardon T, 2021, AGR ECON-BLACKWELL, V52, P459, DOI 10.1111/agec.12631
   Resnick D, 2019, COMP POLIT, V52, P21, DOI 10.5129/001041519X15615651139961
   Resnick D, 2014, DEV POLICY REV, V32, ps3, DOI 10.1111/dpr.12066
   Revoltella D, 2016, OXFORD REV ECON POL, V32, P410, DOI 10.1093/oxrep/grw019
   Richards P, 2016, FOOD SECUR, V8, P871, DOI 10.1007/s12571-016-0597-3
   Roberts B., 2014, CIVIS SHARING KNOWLE
   Roever S, 2016, CITYSCAPE, V18, P27
   Roever S, 2016, ENVIRON URBAN, V28, P359, DOI 10.1177/0956247816653898
   Ruszczyk HA, 2021, ENVIRON URBAN, V33, P239, DOI 10.1177/0956247820965156
   Satterthwaite D, 2017, INT J DISAST RISK RE, V26, P16, DOI 10.1016/j.ijdrr.2017.09.025
   Skinner C, 2021, TOWN PLAN REV, V92, P301, DOI 10.3828/tpr.2020.38
   Smit W, 2019, ROUTL STUD FOOD SOC, P94
   Sotelo S, 2020, J POLIT ECON, V128, P2690, DOI 10.1086/706859
   Steel G, 2019, EUR J DEV RES, V31, P12, DOI 10.1057/s41287-018-0183-y
   Stifel D, 2008, AGR ECON-BLACKWELL, V39, P1, DOI 10.1111/j.1574-0862.2008.00310.x
   Tendall DM, 2015, GLOB FOOD SECUR-AGR, V6, P17, DOI 10.1016/j.gfs.2015.08.001
   Thai H.M.H., 2021, RESILIENCE STREET VE, P155
   Torero M., 2019, AFRICA AGR STATUS RE
   Toriro P, 2021, COGENT SOC SCI, V7, DOI 10.1080/23311886.2021.1939230
   Trendov N. M., 2019, Digital technologies in agriculture and rural areas-Status report
   United Nations-Habitat, 2017, IMPL NEW URB AG STRE
   Van Zutphen K.G., 2023, SCI INNOVATIONS FOOD, DOI [10.1007/978-3-031-15703-5_16, DOI 10.1007/978-3-031-15703-5_16]
   Vandercasteelen J, 2018, WORLD DEV, V106, P393, DOI 10.1016/j.worlddev.2018.03.006
   Wageningen University and Research and SNV Netherlands Development Organisation, 2020, RAP COUNTR ASS KEN I
   Wiskerke JSC, 2015, EARTHSCAN FOOD AGRIC, P1
   Wolfert S., 2021, Navigating the Twilight Zone: Pathways towards digital transformation of food systems
   Woods M., 2018, ROBUST CONCEPTUAL FR
   World Bank, 2020, World Development Indicators database
   Zeufack A.G., 2020, AFRICAS PULSE CHARTI
   Zhang XB, 2004, AM J AGR ECON, V86, P492, DOI 10.1111/j.0092-5853.2004.00594.x
NR 110
TC 6
Z9 6
U1 9
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 3
AR 1818
DI 10.3390/su15031818
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 8W1LR
UT WOS:000931082400001
OA gold
DA 2025-04-22
ER

PT J
AU Xu, ZZ
   Chopra, SS
AF Xu, Zizhen
   Chopra, Shauhrat S.
TI Interconnectedness enhances network resilience of multimodal public
   transportation systems for Safe-to-Fail urban mobility
SO NATURE COMMUNICATIONS
LA English
DT Article
ID COMPLEX NETWORKS; VULNERABILITY
AB The growing interconnectedness of networked infrastructures has a complex impact on resilience in urban environments. Xu and Chopra quantify these effects using network resilience analysis and highlight the benefits of topological interconnectedness within multimodal public transportation systems.
   The growing interconnectedness of urban infrastructure networks presents challenges to their ability to handle unforeseen disruptions, particularly in the context of extreme weather events resulting from climate change. Understanding the resilience of interconnected infrastructure systems is imperative to effectively manage such disruptions. This study investigates the role of interconnectedness in enhancing the resilience of public transportation systems in Hong Kong, a city heavily reliant on public transit. Our results demonstrate that interconnected transportation systems improve resilience by reducing topological vulnerabilities, increasing attack tolerance, and enhancing post-disruption interoperability. Findings also identify the potential to integrate vulnerable systems for greater robustness and highlight the marginal benefits of enhancing intermodal transfer. Strengthening interconnectedness among modes of urban public transit fosters a safe-to-fail system, presenting a distinct resilience-by-design approach. This complements conventional resilience-by-intervention approaches that focus on improving individual systems or introducing entirely new systems.
C1 [Xu, Zizhen; Chopra, Shauhrat S.] City Univ Hong Kong, Sch Energy & Environm, Tat Chee Ave, Hong Kong, Peoples R China.
C3 City University of Hong Kong
RP Xu, ZZ; Chopra, SS (corresponding author), City Univ Hong Kong, Sch Energy & Environm, Tat Chee Ave, Hong Kong, Peoples R China.
EM zizhenxu2@cityu.edu.hk; sschopra@cityu.edu.hk
RI Xu, Zizhen/JLL-9260-2023; Chopra, Shauhrat S./HIK-2137-2022
OI Chopra, Shauhrat S./0000-0001-9067-4321; XU, Zizhen/0000-0003-1808-1729
FU General Research Fund (GRF) [CityU 9048170]; Collaborative Research Fund
   (CRF) [C1105-20G]; Research Grants Council of the Hong Kong Special
   Administrative Region, China; City University of Hong Kong
FX The work described in this paper was supported by the General Research
   Fund (GRF) (Project No. CityU 9048170, S.S.C.)& nbsp;and the &
   nbsp;Collaborative Research Fund (CRF) (Project No. C1105-20G, S.S.C)
   grants from the Research Grants Council of the Hong Kong Special
   Administrative Region, China. In addition, we appreciate the long-term
   internal support for research on resilient infrastructure systems from
   the City University of Hong Kong.
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahmadian N, 2020, RELIAB ENG SYST SAFE, V200, DOI 10.1016/j.ress.2020.106977
   Aleta A, 2017, SCI REP-UK, V7, DOI 10.1038/srep44359
   Allenby B, 2005, SCIENCE, V309, P1034, DOI 10.1126/science.1111534
   Artime O, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22721-z
   Cats O, 2020, PHYSICA A, V549, DOI 10.1016/j.physa.2020.124317
   Cats O, 2017, RELIAB ENG SYST SAFE, V167, P544, DOI 10.1016/j.ress.2017.07.009
   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
   Colon C, 2021, NAT SUSTAIN, V4, P209, DOI 10.1038/s41893-020-00649-4
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Guo JN, 2021, COMPUT IND ENG, V161, DOI 10.1016/j.cie.2021.107678
   He JL, 2018, CHINESE GEOGR SCI, V28, P612, DOI 10.1007/s11769-018-0970-6
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Hosseini S, 2016, COMPUT IND ENG, V93, P252, DOI 10.1016/j.cie.2016.01.007
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Kitsak M, 2018, PHYS REV E, V97, DOI 10.1103/PhysRevE.97.012309
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Li ZY, 2017, P IEEE, V105, P1289, DOI 10.1109/JPROC.2017.2685558
   Linkov I., 2019, The Science and Practice of Resilience, DOI DOI 10.1007/978-3-030-04565-4
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Logan TM, 2022, NAT SUSTAIN, V5, P741, DOI 10.1038/s41893-022-00893-w
   Mahoney E, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28734-6
   Morelli AB, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2021.102770
   National Research Council, 2012, Disaster Resilience: A National Imperative
   Ouyang M, 2015, RELIAB ENG SYST SAFE, V142, P248, DOI 10.1016/j.ress.2015.05.013
   Pan SL, 2017, INT J PROD RES, V55, P2603, DOI 10.1080/00207543.2017.1302620
   Pan SZ, 2021, PHYSICA A, V581, DOI 10.1016/j.physa.2021.126235
   Schneider CM, 2011, P NATL ACAD SCI USA, V108, P3838, DOI 10.1073/pnas.1009440108
   Thacker S, 2017, RELIAB ENG SYST SAFE, V167, P30, DOI 10.1016/j.ress.2017.04.023
   Vespignani A, 2010, NATURE, V464, P984, DOI 10.1038/464984a
   Voltes-Dorta A, 2017, TRANSPORT RES A-POL, V96, P119, DOI 10.1016/j.tra.2016.12.009
   Wandelt S, 2021, RELIAB ENG SYST SAFE, V206, DOI 10.1016/j.ress.2020.107307
   Woods DD., 2014, 5 RES ENG S, P17
   Xu Z., 2023, MPTN RESILIENCE PUBL, DOI [10.5281/zenodo.8072956, DOI 10.5281/ZENODO.8072956]
   Xu ZZ, 2023, TRANSPORTMETRICA B, V11, P361, DOI 10.1080/21680566.2022.2071354
   Xu ZZ, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108434
   Xu ZZ, 2022, IEEE T INTELL TRANSP, V23, P12688, DOI 10.1109/TITS.2021.3116667
   Yadav N, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-66049-y
   Zanin M, 2018, J ADV TRANSPORT, DOI 10.1155/2018/3156137
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
NR 41
TC 24
Z9 24
U1 42
U2 131
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD JUL 18
PY 2023
VL 14
IS 1
DI 10.1038/s41467-023-39999-w
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA N5HN9
UT WOS:001037322100022
PM 37463908
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Yumagulova, L
   Vertinsky, I
AF Yumagulova, Lilia
   Vertinsky, Ilan
TI Moving beyond engineering supremacy: Knowledge systems for urban
   resilience in Canada's Metro Vancouver region
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Knowledge systems; Urban resilience; Sea level rise; Shadow spaces
ID FLOOD-RISK-MANAGEMENT; CLIMATE-CHANGE; ORGANIZATIONS; POLICY;
   GOVERNANCE; RESPONSES; OUTCOMES; SUPPORT
AB Drawing on multi-disciplinary literature (socio-ecological resilience, disaster management, and urban planning) this article seeks to uncover what are the knowledge systems that underpin existing flood management regimes and how they enable or constrain learning for future flood risks (sea level rise). The article is situated in a case study of flood and climate risk governance in Canada's Metro Vancouver region. Drawing on 60 interviews with emergency managers, engineers, planners, and elected officials, and a regional survey of resilience practitioners, we identify distinct knowledge systems used for managing urban resilience. We find that technical hazard- and engineering-based knowledge that has maintained its supremacy over the past decades is being increasingly challenged through knowledge co-production. We find that formalized and shadow spaces for learning and collaborative problem-solving break down barriers and enable a collective search for flood resilience solutions across governance levels.
C1 [Yumagulova, Lilia; Vertinsky, Ilan] Univ British Columbia, Sch Community & Reg Planning, David Lam 511,2053 Main Mall, Vancouver, BC V6T 1Z2, Canada.
   [Yumagulova, Lilia; Vertinsky, Ilan] Univ British Columbia, Sauder Sch Business, David Lam 511,2053 Main Mall, Vancouver, BC V6T 1Z2, Canada.
C3 University of British Columbia; University of British Columbia
RP Yumagulova, L (corresponding author), Univ British Columbia, Sch Community & Reg Planning, David Lam 511,2053 Main Mall, Vancouver, BC V6T 1Z2, Canada.
EM lilia.yumagulova@ubc.ca
CR Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Bergsma E, 2016, ECOL SOC, V21, DOI 10.5751/ES-08952-210440
   Berke PR, 2014, J PLAN EDUC RES, V34, P60, DOI 10.1177/0739456X13517004
   Berkes Fikret., 2012, Sacred Ecology, V3rd, DOI DOI 10.4324/9780203123843
   Boyd E, 2010, ENVIRON EDUC RES, V16, P629, DOI 10.1080/13504622.2010.505444
   Bubeck P, 2017, J FLOOD RISK MANAG, V10, P436, DOI 10.1111/jfr3.12151
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0
   Chen J, 2013, J CONTING CRISIS MAN, V21, P130, DOI 10.1111/1468-5973.12021
   Comfort L.K., 1994, Journal of Contingencies and Crisis Management, V2, P157, DOI DOI 10.1111/J.1468-5973.1994.TB00038.X
   Cornell S, 2013, ENVIRON SCI POLICY, V28, P60, DOI 10.1016/j.envsci.2012.11.008
   de Kraker J, 2017, CURR OPIN ENV SUST, V28, P100, DOI 10.1016/j.cosust.2017.09.002
   Edelenbos J, 2011, ENVIRON SCI POLICY, V14, P675, DOI 10.1016/j.envsci.2011.04.004
   Elgert L, 2018, ENVIRON SCI POLICY, V79, P16, DOI 10.1016/j.envsci.2017.10.006
   Ellen IG, 2016, J PLAN EDUC RES, V36, P349, DOI 10.1177/0739456X16659911
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Flyvbjerg B, 2002, J PLAN EDUC RES, V21, P353, DOI 10.1177/0739456X0202100401
   Folke C, 2010, ECOL SOC, V15
   Gergel SE, 2002, ECOL APPL, V12, P1755, DOI 10.1890/1051-0761(2002)012[1755:COHAFL]2.0.CO;2
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Harris C., 2002, MAKING NATIVE SPACE
   Healey P., 2003, Planning Theory, V2, P101, DOI [DOI 10.1177/14730952030022002, 10.1177/14730952030022002]
   Hegger DL., 2016, Ecology and Society, V21
   High C., 2004, 11 WORLD C RUR SOC T, P25
   Hoggett P, 2011, PSYCHOANAL CULT SOC, V16, P261, DOI 10.1057/pcs.2011.1
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Klein R, 2011, OPERATIONALIZING DYNAMIC PRICING MODELS: BAYESIAN DEMAND FORECASTING AND CUSTOMER CHOICE MODELING FOR LOW COST CARRIERS, P159, DOI 10.1007/978-3-8349-6184-6_7
   Koontz TM, 2006, PUBLIC ADMIN REV, V66, P111, DOI 10.1111/j.1540-6210.2006.00671.x
   Leck H., 2015, Current Opinion in Environmental Sustainability, V13, P61, DOI DOI 10.1016/J.COSUST.2015.02.004
   Maiello A, 2013, ENVIRON SCI POLICY, V27, P141, DOI 10.1016/j.envsci.2012.12.007
   Miller TR, 2011, INT J SUST HIGHER ED, V12, P177, DOI 10.1108/14676371111118228
   NHC, 2015, SIGN FLOOD RISKS FOU
   Norgaard KM, 2018, GLOBAL PLANET CHANGE, V163, P171, DOI 10.1016/j.gloplacha.2017.09.018
   Obermeister N, 2017, ENVIRON SCI POLICY, V68, P80, DOI 10.1016/j.envsci.2016.11.010
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Pahl-Wostl C, 2013, ECOL SOC, V18, DOI 10.5751/ES-05554-180233
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Perry R.W., 2005, What Is a Disaster? New Answers to Old Questions
   Porter J, 2012, ENVIRON PLANN A, V44, P2359, DOI 10.1068/a44660
   Porter JJ, 2018, ENVIRON SCI POLICY, V89, P100, DOI 10.1016/j.envsci.2018.07.004
   Schneider M, 2003, AM J POLIT SCI, V47, P143, DOI 10.2307/3186098
   Schultz L, 2010, ENVIRON EDUC RES, V16, P645, DOI 10.1080/13504622.2010.505442
   Scolobig A, 2017, GEOSCIENCES, V7, DOI 10.3390/geosciences7040129
   Shaw P, 1997, J ORGAN CHANGE MANAG, V10, P235, DOI 10.1108/09534819710171095
   Stacey R., 1996, COMPLEXITY CREATIVIT
   TOBIN GA, 1995, WATER RESOUR BULL, V31, P359, DOI 10.1111/j.1752-1688.1995.tb04025.x
   van Herk S, 2011, ENVIRON SCI POLICY, V14, P543, DOI 10.1016/j.envsci.2011.04.006
   van Kerkhoff Lorrae, 2016, Proc Natl Acad Sci U S A, V113, P4603, DOI 10.1073/pnas.0900541107
   van Kerkhoff LE, 2015, ECOL SOC, V20, DOI 10.5751/ES-07188-200114
   Wood M, 2012, RISK ANAL, V32, P1349, DOI 10.1111/j.1539-6924.2012.01832.x
   Yin R.K., 2003, Case Study Research: Design and Methods
   Yumagulova L, 2017, J SUSTAIN DEV ENERGY, V5, P273, DOI 10.13044/j.sdewes.d5.0149
   Yusoff K, 2011, WIRES CLIM CHANGE, V2, P516, DOI 10.1002/wcc.117
NR 56
TC 17
Z9 18
U1 4
U2 54
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 OCT
PY 2019
VL 100
BP 66
EP 73
DI 10.1016/j.envsci.2019.05.022
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IP9NI
UT WOS:000480376500008
DA 2025-04-22
ER

PT J
AU Fenner, R
   O'Donnell, E
   Ahilan, S
   Dawson, D
   Kapetas, L
   Krivtsov, V
   Ncube, S
   Vercruysse, K
AF Fenner, Richard
   O'Donnell, Emily
   Ahilan, Sangaralingam
   Dawson, David
   Kapetas, Leon
   Krivtsov, Vladimir
   Ncube, Sikhululekile
   Vercruysse, Kim
TI Achieving Urban Flood Resilience in an Uncertain Future
SO WATER
LA English
DT Article
DE blue-green infrastructure; flood risk management; sustainable; drainage
   systems; resilience; systems
AB Preliminary results of the UK Urban Flood Resilience research consortium are presented and discussed, with the work being conducted against a background of future uncertainties with respect to changing climate and increasing urbanization. Adopting a whole systems approach, key themes include developing adaptive approaches for flexible engineering design of coupled grey and blue-green flood management assets; exploiting the resource potential of urban stormwater through rainwater harvesting, urban metabolism modelling and interoperability; and investigating the interactions between planners, developers, engineers and communities at multiple scales in managing flood risk. The work is producing new modelling tools and an extensive evidence base to support the case for multifunctional infrastructure that delivers multiple, environmental, societal and economic benefits, while enhancing urban flood resilience by bringing stormwater management and green infrastructure together.
C1 [Fenner, Richard; Kapetas, Leon] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England.
   [O'Donnell, Emily] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England.
   [Ahilan, Sangaralingam] Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, Exeter EX4 4QF, Devon, England.
   [Dawson, David; Vercruysse, Kim] Univ Leeds, Fac Engn, Leeds LS2 9JT, W Yorkshire, England.
   [Krivtsov, Vladimir; Ncube, Sikhululekile] Heriot Watt Univ, Sch Energy Geosci Infrastruct & Soc, Edinburgh EH14 4AS, Midlothian, Scotland.
C3 University of Cambridge; University of Nottingham; University of Exeter;
   University of Leeds; Heriot Watt University
RP Fenner, R (corresponding author), Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England.
EM raf37@cam.ac.uk; Emily.O'Donnell@nottingham.ac.uk;
   S.Ahilan@exeter.ac.uk; D.A.Dawson@leeds.ac.uk; lk411@cam.ac.uk;
   vladimir.krivtsov@hw.ac.uk; s.ncube@hw.ac.uk; k.vercruysse@leeds.ac.uk
RI Vercruysse, Kim/AAY-7107-2020; Krivtsov, Vladimir/G-7219-2015; Ahilan,
   Sangaralingam/I-2915-2019
OI Krivtsov, Vladimir/0000-0003-0844-5007; Ncube,
   Sikhululekile/0000-0001-6930-9135; KAPETAS, LEON/0000-0001-7818-8224;
   Vercruysse, Kim/0000-0001-9716-5191; Ahilan,
   Sangaralingam/0000-0003-3887-331X; Fenner, Richard/0000-0002-9272-211X;
   O'Donnell, Emily/0000-0003-4303-4705
FU Engineering and Physical Sciences Research Council [EP/P004180/1,
   EP/P003982/1, EP/P004210/1, EP/P004237/1, EP/P004261/1, EP/P004296/1,
   EP/P004318/1, EP/P004334/1, EP/P004431/1]; EPSRC [EP/P004318/1,
   EP/P004431/1, EP/P004180/1] Funding Source: UKRI
FX This research was performed as part of an interdisciplinary project
   undertaken by the Urban Flood Resilience Research consortium
   (www.urbanfloodresilience.ac.uk).This work was supported by the
   Engineering and Physical Sciences Research Council (grant numbers
   EP/P004180/1, EP/P003982/1, EP/P004210/1, EP/P004237/1, EP/P004261/1,
   EP/P004296/1, EP/P004318/1, EP/P004334/1 and EP/P004431/1).
CR Ahilan S., 2018, NEW TRENDS URBAN DRA, P369
   Andrew RF, 2017, WATER-SUI, V9, DOI 10.3390/w9120953
   Behzadian K, 2015, RESOUR CONSERV RECY, V99, P84, DOI 10.1016/j.resconrec.2015.03.015
   Costa J, 2020, P I CIVIL ENG-ENG SU, V173, P42, DOI 10.1680/jensu.18.00035
   Everett G., 2018, WIT Transactions on the Built Environment, V184, DOI DOI 10.2495/FRIAR180011
   Glenis V, 2018, ENVIRON MODELL SOFTW, V109, P272, DOI 10.1016/j.envsoft.2018.07.018
   Greenwald AG, 1998, J PERS SOC PSYCHOL, V74, P1464, DOI 10.1037/0022-3514.74.6.1464
   Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112
   Holzinger O., 2018, NATURAL CAPITAL PLAN
   Meade AW, 2009, APPL PSYCH MEAS, V33, P643, DOI 10.1177/0146621608327803
   O'Donnell EC, 2018, ENVIRON SCI POLICY, V80, P1, DOI 10.1016/j.envsci.2017.10.013
   Urban Flood Resilience Project, 2019, KEY PROJ OUTP REP
   Vercruysse K, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12535
NR 13
TC 42
Z9 44
U1 7
U2 84
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAY
PY 2019
VL 11
IS 5
AR 1082
DI 10.3390/w11051082
PG 9
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA IE9FN
UT WOS:000472680400212
OA Green Published, gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Wang, Y
   Li, YP
AF Wang, Yu
   Li, Yupu
TI The Impact of the Digital Economy on Urban Ecosystem Resilience in the
   Yellow River Basin
SO SUSTAINABILITY
LA English
DT Article
DE digital economy; ecological resilience; industrial structure
   optimization; resource; allocation improvement
AB The digital economy is key to ecological security in the Yellow River Basin and to harmonious coexistence between humans and nature. This study uses data from 80 cities in the Yellow River Basin from 2010 to 2022 to examine how the digital economy affects urban ecological resilience. It uses three models to do this. The conclusion that the development of digital economy in the Yellow River Basin can significantly promote the enhancement of urban ecological environment resilience still holds after the robustness tests of phased regression, variable substitution and the introduction of instrumental variables. There is regional heterogeneity in the impact of digital economy on urban ecosystem resilience, showing the unbalanced spatial characteristics that the middle reaches are the highest, the upper reaches are the second highest, and the lower reaches are the lowest. The digital economy was shown to influence ecological resilience through a "double fixed-effects model" and a mediation effect model, via two intermediary pathways: "digital economy development -> industrial structure upgrading -> ecological resilience enhancement" and "digital economy development -> resource allocation improvement -> ecological resilience enhancement". The digital economy was shown to transform and upgrade industrial structures and optimize capital and labor allocation, strengthening the ecological resilience of cities in the Yellow River Basin.
C1 [Wang, Yu; Li, Yupu] Inner Mongolia Agr Univ, Coll Humanities & Social Sci, Hohhot 010020, Peoples R China.
C3 Inner Mongolia Agricultural University
RP Wang, Y (corresponding author), Inner Mongolia Agr Univ, Coll Humanities & Social Sci, Hohhot 010020, Peoples R China.
EM wangyu1981@imau.edu.cn; yupuli@emails.imau.edu.cn
FU National Social Science Fund Project; National Natural Science
   Foundation of China [32160279];  [22BMZ116]
FX This research is funded by the National Social Science Fund Project
   (22BMZ116) and the National Natural Science Foundation of China
   (32160279).
CR Bai J., 2018, China Ind. Econ, V35, P60
   Botequilha-Leitao A, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102089
   Chu E., 2023, J. Manag, V36, P21
   Delettre O, 2021, J ECOL, V109, P3147, DOI 10.1111/1365-2745.13655
   Guo H., 2023, East China Econ. Manag, V37, P101, DOI [10.19629/j.cnki.34-1014/f.220821006, DOI 10.19629/J.CNKI.34-1014/F.220821006]
   Ireni-Saban L, 2013, ADMIN SOC, V45, P651, DOI 10.1177/0095399712438375
   JI S.H., 2016, China Ind. Econ., P73, DOI [DOI 10.19581/J.CNKI.CIEJOURNAL.2016.06.007, 10.19581/j.cnki.ciejournal.2016.06.007]
   Jin LL, 2022, J ENVIRON MANAGE, V322, DOI 10.1016/j.jenvman.2022.115788
   KONG L.Z., 2023, Statistics & Decision, V39, P23
   Kowal J., 2023, Int. J. Pedagog. Innov. New Technol, V9, P2, DOI [10.5604/01.3001.0016.3210, DOI 10.5604/01.3001.0016.3210]
   [李剑培 Li Jianpei], 2024, [数量经济技术经济研究, Quantitative & Technical Economics], V41, P155
   Li Y., 2022, China Soft Sci, V37, P96
   Liang Q., 2021, Explor. Econ. Issues, V42, P82
   Liu C., 2023, Nanjing Soc. Sci, V34, P28
   [刘玒玒 Liu Honghong], 2024, [环境科学研究, Research of Environmental Sciences], V37, P1534
   Liu J., 2020, Shanghai Econ. Res, V6, P81, DOI [DOI 10.19626/J.CNKI.CN31-1163/F.2020.06.008, 10.19626/j.cnki.cn31-1163/f.2020.06.008]
   Liu W., 2024, Stat. Decis. Mak, V40, P22
   Lu D., 2019, JGS, V74, P2431, DOI [10.13476/j.cnki.nsbdqk.2014.03.036, DOI 10.13476/J.CNKI.NSBDQK.2014.03.036]
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Mert M, 2020, ENVIRON SCI POLLUT R, V27, P32933, DOI 10.1007/s11356-020-09469-7
   Pickett STA, 2014, BUILD RES INF, V42, P143, DOI 10.1080/09613218.2014.850600
   Song L., 2020, Soc. Sci, V475, P21
   Song M.L., 2016, Econ Res J, V51, P47
   Sun W., 2024, Stat. Decis. Mak, V40, P58
   Tao C.Q., 2022, Contemp. Financ. Econ, V44, P16
   [陶洁怡 Tao Jieyi], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1975
   [王军 Wang Jun], 2021, [数量经济技术经济研究, Quantitative & Technical Economics], V38, P26
   [王少剑 Wang Shaojian], 2021, [地理学报, Acta Geographica Sinica], V76, P973
   [王松茂 Wang Songmao], 2023, [生态学报, Acta Ecologica Sinica], V43, P8309
   Wen F., 2023, Ind. Econ. Res, V22, P57
   Xiang X., 2024, J. Nanjing Univ. Financ. Econ, V31, P67
   [余江 Yu Jiang], 2018, [科学学研究, Studies in Science of Science], V36, P1801
   Zhang D., 2024, J. Shaanxi Norm. Univ. (Philos. Soc. Sci. Ed.), V53, P31
   Zhang J.-P., 2022, J. Anhui Norm. Univ. (Humanit. Soc. Sci. Ed.), V50, P148, DOI [10.14182/j.cnki.j.anu.2022.03.016, DOI 10.14182/J.CNKI.J.ANU.2022.03.016]
   [张可云 Zhang Keyun], 2020, [经济地理, Economic Geography], V40, P1
   [张明斗 Zhang Mingdou], 2024, [干旱区地理, Arid Land Geography], V47, P445
   Zhang X.-J., 2022, Reg. Res. Dev, V41, P48
   Zhao HX, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192417094
   Zhao T., 2020, Manag. World, V36, P65, DOI 10.19744/j.cnki.11-1235/f.2020.0154
   [赵政楠 Zhao Zhengnan], 2024, [中国人口·资源与环境, China Population Resources and Environment], V34, P136
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   [朱媛媛 Zhu Yuanyuan], 2022, [自然资源学报, Journal of Natural Resources], V37, P1748
NR 42
TC 0
Z9 0
U1 13
U2 13
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2025
VL 17
IS 2
AR 790
DI 10.3390/su17020790
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 T5D3E
UT WOS:001405203900001
OA gold
DA 2025-04-22
ER

PT J
AU Yang, CH
   Wu, H
   Xie, CK
   Wan, YS
   Qin, YF
   Jiang, RY
   Zhang, YC
   Che, SQ
AF Yang, Caihua
   Wu, Hao
   Xie, Changkun
   Wan, Yunshan
   Qin, Yifeng
   Jiang, Ruiyuan
   Zhang, Yangcen
   Che, Shengquan
TI Community future climate resilience assessment based on CMIP6, A case
   study of communities along an urban-rural gradient in Shanghai
SO URBAN CLIMATE
LA English
DT Article
DE Community; Climate resilience assessment; CMIP6; Climate predictions;
   Urban-rural gradient
AB As climate change intensifies, the sustainable development of communities is severely affected. Based on climate risk predictions, this study explored the spatial-temporal variation of community climate resilience along an urban-rural gradients, which quantified the impact of climate change on community resilience. We used the Coupled Model Intercomparison Project Phase 6 (CMIP6) data with the Delta downscaling to predict extreme weather risks of three communities in Shanghai along an urban-rural gradient. We constructed a Pressure-State-Response-Prediction (PSRP) climate resilience assessment model integrating climate predictions, estimating and comparing community resilience in the current, near (2025-2034), mid (2035-2044), and long (2045-2054) term. Results indicated climate pressure droped from urban to rural, with temperature and precipitation growth rates at 0.042 and 0.659, 0.040 and 0.638, 0.037 and 0.621. Climate resilience index significantly decreased in mid term, with a decline of 0.02, 0.019, and 0.03 in three communities. Climate stress, green space quality, community hardening level, water coverage area, and facility construction were identified as main factors influencing the climate resilience index. Optimization measures for heat mitigation, flood reduction, green enhancement, and management were proposed. The study's findings on future climate resilience are preliminary, and further research is needed to address uncertainties in climate model downscaling.
C1 [Yang, Caihua; Wu, Hao; Xie, Changkun; Qin, Yifeng; Jiang, Ruiyuan; Zhang, Yangcen; Che, Shengquan] Shanghai Jiao Tong Univ, Sch Design, 800 Dongchuan Rd, Shanghai 200240, Peoples R China.
   [Wan, Yunshan] Architecture Design & Res Grp, 19 Chegongzhuang St, Beijing 100037, Peoples R China.
C3 Shanghai Jiao Tong University
RP Che, SQ (corresponding author), Shanghai Jiao Tong Univ, Sch Design, 800 Dongchuan Rd, Shanghai 200240, Peoples R China.
EM yangcaihua.bang.sjtu@sjtu.edu.cn; 1193871865@qq.com;
   xiechangkun@sjtu.edu.cn; wanyunshan_edu@163.com; qyf0162@sjtu.edu.cn;
   qyf0162@sjtu.edu.cn; zhangyangcen@sjtu.edu.cn; chsq@sjtu.edu.cn
RI Xie, Changkun/F-1544-2011; ruiyuan, jiang/ABB-8164-2021
OI Qin, Yifeng/0000-0002-3765-6818
FU Science and Technology Commission of Shanghai Municipality [22230750500]
FX This work is supported by the Science and Technology Commission of
   Shanghai Municipality grants 22230750500.
CR Ahmed KF, 2013, GLOBAL PLANET CHANGE, V100, P320, DOI 10.1016/j.gloplacha.2012.11.003
   Birchall SJ, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101062
   Bray D, 2006, ECON SOC, V35, P530, DOI 10.1080/03085140600960799
   Cheng HR, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150053
   Donat MG, 2023, GEOPHYS RES LETT, V50, DOI 10.1029/2022GL102466
   Ford JD, 2018, GLOBAL ENVIRON CHANG, V49, P129, DOI 10.1016/j.gloenvcha.2018.02.006
   Grinin LA., 2021, J GLOB STUD, V12, P181
   Hernanz A, 2022, INT J CLIMATOL, V42, P6793, DOI 10.1002/joc.7611
   Imdad K, 2023, J CLEAN PROD, V414, DOI 10.1016/j.jclepro.2023.137646
   Jacobson C, 2020, ENVIRON RES, V186, DOI 10.1016/j.envres.2020.109512
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Jose DM, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-08786-w
   Khatooni K, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-27377-x
   Kheir AMS, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e18200
   Kornhuber K, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38906-7
   [刘珊珊 Liu Shanshan], 2024, [中国农业气象, Chinese Journal of Agrometeorology], V45, P91
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Ministry of Civil Affairs of the People's Repiblic of China, 2019, National Administrative Division Information Inquiry Platform.
   [牛明香 Niu Mingxiang], 2017, [生态学报, Acta Ecologica Sinica], V37, P943
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Pascoe C, 2020, GEOSCI MODEL DEV, V13, P2149, DOI 10.5194/gmd-13-2149-2020
   Pazhuhan M, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104563
   Plaga LS, 2023, APPL ENERG, V331, DOI 10.1016/j.apenergy.2022.120384
   Qasmi S, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abo6872
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Saarikoski H, 2015, ECOSYST SERV, V14, P144, DOI 10.1016/j.ecoser.2015.03.006
   Schmidli J, 2006, INT J CLIMATOL, V26, P679, DOI 10.1002/joc.1287
   Sellers S, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15010003
   Seltzer AM, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adf8119
   Shanghai Municipal Bureau of Statistics, 2023, Shanghai Municipality National Economic and Social Development Statistics Bulletin
   Shanghai statistical yearbook, 2022, Climate Datasets
   Stefanidis S, 2020, WATER-SUI, V12, DOI 10.3390/w12102750
   Tian S, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109717
   Tokarska KB, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz9549
   Wang D, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12070867
   [王国萍 Wang Guoping], 2019, [生态学报, Acta Ecologica Sinica], V39, P8232
   Wenlin M.A., 2022, Ecol. Econ., P177
   [吴昊 Wu Hao], 2023, [中国园林, Chinese Landscape Architecture], V39, P26
   [吴蔚 Wu Wei], 2016, [气候与环境研究, Climatic and Environmental Research], V21, P269
   Xiao ZL, 2022, J CLEAN PROD, V345, DOI 10.1016/j.jclepro.2022.131138
   Xie B, 2023, ECOL INDIC, V153, DOI 10.1016/j.ecolind.2023.110453
   You QL, 2021, CLIM DYNAM, V57, P17, DOI 10.1007/s00382-021-05691-2
   Zahmatkesh Z, 2015, J IRRIG DRAIN ENG, V141, DOI 10.1061/(ASCE)IR.1943-4774.0000770
   Zhou B, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110783
   Zhu Y, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103892
NR 45
TC 5
Z9 6
U1 56
U2 71
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JUL
PY 2024
VL 56
AR 101966
DI 10.1016/j.uclim.2024.101966
EA JUL 2024
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA A3A8K
UT WOS:001281296800001
DA 2025-04-22
ER

PT J
AU Xu, WP
   Xiang, LL
   Proverbs, D
AF Xu, Wenping
   Xiang, Lingli
   Proverbs, David
TI Assessing Community Resilience to Urban Flooding in Multiple Types of
   the Transient Population in China
SO WATER
LA English
DT Article
DE community resilience; transient communities; AHP-BP model; urban floods
ID INDICATORS; FRAMEWORK
AB While various measures of mitigation and adaptation to climate change have been taken in recent years, many have gradually reached a consensus that building community resilience is of great significance when responding to climate change, especially urban flooding. There has been a dearth of research on community resilience to urban floods, especially among transient communities, and therefore there is a need to conduct further empirical studies to improve our understanding, and to identify appropriate interventions. Thus, this work combines two existing resilience assessment frameworks to address these issues in three different types of transient community, namely an urban village, commercial housing, and apartments, all located in Wuhan, China. An analytic hierarchy process-back propagation neural network (AHP-BP) model was developed to estimate the community resilience within these three transient communities. The effects of changes in the prioritization of key resilience indicators under different environmental, economic, and social factors was analyzed across the three communities. The results demonstrate that the ranking of the indicators reflects the connection between disaster resilience and the evaluation units of diverse transient communities. These aspects show the differences in the disaster resilience of different types of transient communities. The proposed method can help decision makers in identifying the areas that are lagging behind, and those that need to be prioritized when allocating limited and/or stretched resources.
C1 [Xu, Wenping; Xiang, Lingli] Wuhan Univ Sci & Technol, Evergrande Sch Management, Wuhan 430065, Peoples R China.
   [Proverbs, David] Birmingham City Univ, Fac Comp Engn & Built Environm, Birmingham B4 7BD, W Midlands, England.
C3 Wuhan University of Science & Technology; Birmingham City University
RP Xu, WP (corresponding author), Wuhan Univ Sci & Technol, Evergrande Sch Management, Wuhan 430065, Peoples R China.
EM xuwenping@wust.edu.cn; xianglingli1017@163.com; David.Proverbs@bcu.ac.uk
RI Proverbs, David/AAL-1178-2020
OI xu, wenping/0000-0003-4474-1583; Proverbs, David/0000-0002-3297-2205
FU National Natural Science Foundation of China [71503194]; Youth
   Foundation of Education Department of Hubei Province [17Q043]; Centre
   for Service Science and Engineering Foundation of WUST [CSSE2017GA02]
FX The research was funded by the National Natural Science Foundation of
   China [grant number, 71503194]; the Youth Foundation of Education
   Department of Hubei Province [grant number, 17Q043]; and the Centre for
   Service Science and Engineering Foundation of WUST [grant number,
   CSSE2017GA02].
CR Adedeji T, 2019, WATER-SUI, V11, DOI 10.3390/w11081699
   Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   Alliance R., 2010, ASSESSING RESILIENCE, P1
   [Anonymous], 2015, Transforming our world: The 2030 Agenda for sustainable development (A/RES/70/1).
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Basheer IA, 2000, J MICROBIOL METH, V43, P3, DOI 10.1016/S0167-7012(00)00201-3
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cundill G, 2017, ECOSYST SERV, V28, P140, DOI 10.1016/j.ecoser.2017.03.011
   Cutter S L., 2008, Geography, V1, P2301
   Cutter S.L., 2016, Journal of Extreme Events, V3, P1671005, DOI [DOI 10.1142/S2345737616710056, 10.1142/S2345737616710056]
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   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
   de Sherbinin A, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.600
   Florin M.-V., 2018, IRGC RESOURCE GUIDE
   Hagenlocher M, 2014, IEEE J-STARS, V7, P229, DOI 10.1109/JSTARS.2013.2259579
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holz E., 2017, TRENDS URBAN RESILIE
   Hou JD, 2016, NAT HAZARDS, V84, pS97, DOI 10.1007/s11069-015-1931-3
   Huang WJ, 2018, COMPUT ENVIRON URBAN, V71, P67, DOI 10.1016/j.compenvurbsys.2018.04.003
   Khalil N, 2016, ECOL INDIC, V71, P567, DOI 10.1016/j.ecolind.2016.07.032
   Khalili S, 2015, INT J DISAST RISK RE, V13, P248, DOI 10.1016/j.ijdrr.2015.06.009
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Li D.Z., 2018, CONSTR EC, V39, P92
   Liang J., 2020, ECOL ENV, V2, P6, DOI [10.1016/j.wsee.2020.06.001, DOI 10.1016/J.WSEE.2020.06.001]
   Linkov I., 2017, Resilience and risk: Methods and application in environment, cyber and social domains
   Liu M., 2006, SOFT SCI, P136
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Macharia D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104102
   Mahtani US, 2018, TRANSPORT RES A-POL, V117, P87, DOI 10.1016/j.tra.2018.08.016
   Malhi GS, 2019, TRANSL PSYCHIAT, V9, DOI 10.1038/s41398-019-0651-y
   Mberego S, 2017, INT REV SPAT PLAN SU, V5, P116, DOI 10.14246/irspsd.5.3_116
   McGill R, 2020, J URBAN MANAG, V9, P372, DOI 10.1016/j.jum.2020.04.004
   Meng L.J., 2016, P 2016 CHIN URB PLAN
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Nguyen HL, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197896
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   O'Connell D., 2015, RESILIENCE ADAPTATIO, DOI DOI 10.13140/RG.2.1.4301.4564
   Peng J.D., 2017, P CHIN URB PLANN ANN
   QIN YY, 2016, J MANAG SCI CHINA, V11, DOI DOI 10.1186/S11671-016-1248-5
   Rossano L., 2011, HYOGO FRAMEWORK ACTI
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Schaefer M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020635
   Shen J.K., 2017, LANDSCAPE ARCHIT, V98, P106
   Singh-Peterson L, 2014, INT J DISAST RISK RE, V10, P116, DOI 10.1016/j.ijdrr.2014.07.004
   Sritart H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187355
   Sung CH, 2020, WATER-SUI, V12, DOI 10.3390/w12051401
   Tai HS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187472
   Tepper F., 2015, INT J DISASTER RISK, P210
   Walker BH, 2009, ECOL SOC, V14
   Wang Y., 2019, POPUL EC, V42, P56
   Xia J.G., 2007, ECON GEOGR, P1015
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Yang J.G., 2012, MACH DES MANUF, P272
   Yang M.X., 2016, URBAN PLAN FORUM, V48, P55
   [于景元 Yu Jingyuan], 2002, [系统工程理论与实践, Systems Engineering-Theory & Practice], V22, P26
   Zhang H., 2020, EC ISSUES, P114, DOI [10.16011/j.cnki.jjwt.2020.04.014, DOI 10.16011/J.CNKI.JJWT.2020.04.014]
   ZHANG Q, 2015, ARCHIT CULT, P94
   ZHAO J, 2018, URBAN ARCHIT, P30
   Zhou L.M., 2017, COMP EC SOC SYST, V22, P33
NR 62
TC 18
Z9 19
U1 15
U2 100
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD OCT
PY 2020
VL 12
IS 10
AR 2784
DI 10.3390/w12102784
PG 22
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA ON8YV
UT WOS:000586979800001
OA Green Accepted, gold
DA 2025-04-22
ER

PT J
AU Kumagai, Y
   Gibson, RB
   Filion, P
AF Kumagai, Yoichi
   Gibson, Robert B.
   Filion, Pierre
TI Evaluating long-term urban resilience through an examination of the
   history of green spaces in Tokyo
SO LOCAL ENVIRONMENT
LA English
DT Article
DE long-term urban resilience; adaptation; transition; wellbeing; green
   space; Tokyo
AB Long-term urban resilience requires urban systems with the capacity to respond to change and disturbance and to enhance the conditions for lasting wellbeing. Over the past century Tokyo has demonstrated impressive resilience, especially a capacity to reorganise and rebuild in response to successive major disturbances. Throughout these recoveries, the city-region maintained a focus on re-establishing, improving and maintaining international competitiveness through industrial development. Green spaces in Tokyo provided a flexible, but gradually disappearing resource. Today, to meet the needs of its ageing and minimally expanding population for enhanced wellbeing, Tokyo requires active transition planning covering many intertwined factors, but the adaptive capacity provided by the green space resource is no longer available. The Tokyo case underscores the risk inherent in the depletion of nonrenewable resources (in this instance, green space) to secure immediate recovery and accommodate growth and short-term resilience at the expense of long-term resilience.
C1 [Kumagai, Yoichi] Shokei Gakuin Univ, Dept Study Contemporary Soc, Miyagi, Japan.
   [Gibson, Robert B.] Univ Waterloo, Dept Environm & Resource Studies, Waterloo, ON, Canada.
   [Filion, Pierre] Univ Waterloo, Sch Planning, Waterloo, ON, Canada.
C3 University of Waterloo; University of Waterloo
RP Kumagai, Y (corresponding author), Shokei Gakuin Univ, Dept Study Contemporary Soc, Miyagi, Japan.
EM ykumagai1110@gmail.com
OI Kumagai, Yoichi/0000-0002-0914-8306
FU Canadian Bureau of International Education (CBIE) through the Government
   of Canada Post-doctoral Research Fellowship program
FX This research was supported in part by the Canadian Bureau of
   International Education (CBIE) through the Government of Canada
   Post-doctoral Research Fellowship program in 2009-2010. However, all
   opinions, findings, conclusions or recommendations in this document are
   those of the authors and do not reflect the views of the CBIE.
CR Amati M., 2008, URBAN GREEN BELTS 21, P1
   Amati M., 2008, MATTERS HERITAGE PLA, P172
   [Anonymous], 2008, 2 CARRI
   [Anonymous], 2005, Sustainability assessment: criteria, process and applications
   [Anonymous], OECD TERR REV JAP
   Arimichi M., 2009, SHINTOSHI, V63, P7
   Berkes F., 2009, Principles of Ecosystem Stewardship, P129
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Coaffee J., 2006, International Relations, V20, P503, DOI DOI 10.1177/0047117806069416
   De Sousa CA, 2003, LANDSCAPE URBAN PLAN, V62, P181, DOI 10.1016/S0169-2046(02)00149-4
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Folke Carl, 2003, NAVIGATING SOCIAL EC, P352, DOI [10.1017/cbo9780511541957.020, DOI 10.1017/CBO9780511541957.020]
   Gunderson L., 2009, 5 CARRI
   Hartig T, 2003, J ENVIRON PSYCHOL, V23, P109, DOI 10.1016/S0272-4944(02)00109-3
   Ishida Y., 2004, The deployment of modern and contemporary planning in Japan 1868-2003
   Ishikawa M., 2001, CITY GREEN SPACE
   JPHA, 1978, JAP PARK HIST
   Kanemoto Y., 2002, J APPL REGIONAL SCI, V7, P1
   Kay James., 1994, ALTERNATIVES, V20, P32, DOI DOI 10.1007/978-94-011-0451-74
   Kay JamesJ., 2008, The Ecosystem Approach: Complexity, Uncertainty, and Managing for Sustainability, P3
   Koshizawa A., 1997, URBAN PLANNING TOKYO
   Leach M, 2012, ECOL SOC, V17, DOI 10.5751/ES-04933-170211
   Maas J, 2006, J EPIDEMIOL COMMUN H, V60, P587, DOI 10.1136/jech.2005.043125
   Maguire B., 2008, ASSESSING COMMUNITYS
   Medd W., 2005, J CONTING CRISIS MAN, V13, P44, DOI DOI 10.1111/J.1468-5973.2005.00455.X
   MLIT, 2005, OUTL NEW CIT GREEN Z
   MLIT, 2005, WHIT PAP NAT CAP REG
   MLIT, 2003, WHIT PAP NAT CAP REG
   MLIT, 2010, WHIT PAP NAT CAP REG
   Mulvihill Peter R., 2010, Sustainability, V2, P2449, DOI 10.3390/su2082449
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   O'Brien K, 2009, ECOL SOC, V14
   Shirai H., 1980, TECHNICAL B FACULTY
   Sorensen Andre., 2001, TOWN PLAN REV, V72, P247, DOI DOI 10.3828/TPR.2001.72.3.247
   Takagi Y., 2010, HIKAKU TOSHI SHI KEK, V29, P31
   Takahashi J., 2001, JAPANESE URBAN LAWS, V2, P37
   TMG, 2006, 10 YEAR PROJ GREEN T
   TMG, 1962, 90 YEARS PARKS TOK
   TMG, 2011, REV PLANS PARKS GREE
   van den Berg A. E., 2007, SOC SCI MED, V70, P1203
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Yokohari M., 2012, SUBURBAN GREEN SPACE, P1
   Yokohari M., 2012, LINKING FARMS CITIES, V732, P23
   Yokohari M., 2005, Landsc Ecol Eng, V1, P53
   Yokohari M., 2012, JAPANESE J REAL ESTA, V26, P78
NR 45
TC 9
Z9 11
U1 4
U2 38
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 2015
VL 20
IS 9
BP 1018
EP 1039
DI 10.1080/13549839.2014.887060
PG 22
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 V79ZR
UT WOS:000212153400003
DA 2025-04-22
ER

PT J
AU Wang, J
   Ran, W
AF Wang, Jun
   Ran, Wei
TI Research on the supply point mechanism of Shanghai during the closure of
   COVID-19 in 2022 from the perspective of urban resilience
SO NATURAL HAZARDS
LA English
DT Article
DE Urban resilience; Supply points; Epidemic lockdown; COVID-19
ID ADAPTATION
AB In the context of significant public emergencies, the capacity of cities to withstand shocks assumes paramount importance, serving as a key indicator of urban resilience. This study focuses on the supply points established during the lockdown period of Shanghai in 2022 in response to the COVID-19 pandemic. In this investigation, the actual distribution of the population is depicted using a thermodynamic map generated from cell phone usage data, while the per capita supply capacity and the intensity of supply coverage are assessed using an official list. Furthermore, the efficacy of the supply point is evaluated through a public survey. Through these combined analyses, the level of "Supply Resilience" is assessed and categorized for each district of Shanghai. The findings indicate a high level of supply resilience in the central city, with varying degrees of divergence observed in the near suburban districts and generally lower resilience in the remote suburban districts. Based on these observations, this research identifies and discusses the supply challenges exposed during the epidemic lockdown in Shanghai and proposes strategies to enhance the urban resilience in the future. Leveraging both data analysis and public survey, this study aims to offer approaches and methodologies for evaluating urban resilience under major public emergencies.
C1 [Wang, Jun; Ran, Wei] East China Univ Sci & Technol, 130 MeiLong Rd, Shanghai, Peoples R China.
C3 East China University of Science & Technology
RP Wang, J (corresponding author), East China Univ Sci & Technol, 130 MeiLong Rd, Shanghai, Peoples R China.
EM wangjun81@ecust.edu.cn; y30211555@mail.ecust.edu.cn
OI , denief/0000-0003-0687-6911
FU China National Social Science Fund
FX No Statement Available
CR Bloomberg, 2020, COVID RESILIENCE RAN
   Bukari C, 2022, SOC INDIC RES, V159, P991, DOI 10.1007/s11205-021-02766-9
   Glaeser EL., 2018, J EC LITERAT, V56, P1292
   He Liming, 2021, CHINA BUS MARK, V35, P3
   He M., 2003, China Logist Purchasing, V23, P18
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Leichenko R., 2019, CLIMATE SOC TRANSFOR
   Longyu S., 2022, J ECOL, V42, P6016
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mysiak J, 2016, NAT HAZARD EARTH SYS, V16, P2189, DOI 10.5194/nhess-16-2189-2016
   Nengzi S., 2021, TARGETED URBAN FUTUR
   Pelling M, 2010, PROG HUM GEOG, V34, P21, DOI 10.1177/0309132509105004
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Stone B., 2018, ENVIRON HEALTH PERSP, V126, P077003
   Tumini I, 2017, NAT HAZARDS, V85, P1363, DOI 10.1007/s11069-016-2630-4
   Villagra P, 2017, NAT HAZARDS, V88, P1087, DOI 10.1007/s11069-017-2908-1
   Wan J., 2022, CHINA EC, V03, P38
   Wang J, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15097107
   Zhiya H., 2021, SHANGHAI URBAN MANAG, V30, P19
NR 20
TC 0
Z9 0
U1 2
U2 4
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 NOV
PY 2024
VL 120
IS 14
BP 12755
EP 12768
DI 10.1007/s11069-024-06726-7
EA JUN 2024
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 N8Y2Z
UT WOS:001243352000002
OA hybrid
DA 2025-04-22
ER

PT J
AU Hardaker, S
   Appel, A
   Rauch, S
AF Hardaker, Sina
   Appel, Alexandra
   Rauch, Sebastian
TI Reconsidering retailers' resilience and the city: A mixed method case
   study
SO CITIES
LA English
DT Article
DE Retailing; Resilience; Pandemic crisis; Digitalization; Germany; Mixed
   methods; Agency; Covid-19; E-Commerce
ID REGIONAL RESILIENCE; URBAN; CENTERS; STREETS; POLICY
AB This study aims to better understand retailers' resilience by conducting a micro-level analysis of retailers against the backdrop of the current Covid-19 crisis. Focusing on e-commerce strategies, the paper reveals that for a better understanding of retailer's resilience it proves helpful to analytically differentiate subjective and objective aspects that influence the personal 'capacities to respond', leading to more or less (pro)active reactions (absorptive, adaptive, transformative) to the crisis. This results in the differentiation of four broad response, respectively retailer types. As such, the paper contributes to existing research frameworks by providing analytical categories for defining subjective and objective aspects of resilience as well as by applying this framework to an empirical study on retailers (and urban) resilience during the Covid-19 pandemic. A mixed method approach is applied, which includes a survey as well as expert interviews with retailers located in the German city centre of Wurzburg. For urban policy makers the results provide an opportunity to redefine retail policy frameworks contributing to retailers' and urban resilience alike.
C1 [Hardaker, Sina; Appel, Alexandra] Julius Maximilians Univ, Dept Econ Geog, D-97074 Wurzburg, Germany.
   [Rauch, Sebastian] Julius Maximilians Univ, Dept Social Geog, D-97074 Wurzburg, Germany.
C3 University of Wurzburg; University of Wurzburg
RP Hardaker, S (corresponding author), Julius Maximilians Univ, Dept Econ Geog, D-97074 Wurzburg, Germany.
EM sina.hardaker@uni-wuerzburg.de; alexandra.appel@uni-wuerzburg.de;
   sebastian.rauch@uni-wuerzburg.de
RI Hardaker, Sina/I-4991-2016; Rauch, Sebastian/KFA-9072-2024
OI Rauch, Sebastian/0000-0001-7472-4739
CR [Anonymous], 2011, DESIGNING CONDUCTING
   Appel A., 2022, GEOGRAPHISCHE HANDEL, V31
   Appel A., 2021, EINZELHANDEL ALS KAT
   Appel A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052643
   Appel A, 2016, GEOGR ANN B, V98, P55, DOI 10.1111/geob.12089
   Backhaus K., 2016, MULTIVARIATE ANALYSE, DOI [DOI 10.1007/978-3-662-46076-4, 10.1007/978-3-662-46076-4]
   BBSR (Bundesinstitut fur Bau- S.-u. R, ZUK KLEINST POT KLEI
   Beilin R, 2015, URBAN STUD, V52, P1205, DOI 10.1177/0042098015574955
   Bene C., 2016, STRENGTHENING EVIDEN, V2
   bevh, 2021, E COMM BESCHL WACHST
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bristow G, 2014, REG STUD, V48, P923, DOI 10.1080/00343404.2013.854879
   Bundesministerium fur Gesundheit, 2021, COR PAND SARS COV 2
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Clare A, 2017, GLOBAL ENVIRON CHANG, V46, P17, DOI 10.1016/j.gloenvcha.2017.07.001
   Cloppenburg S., 2022, 31 INNENSTADTE EINZE, P87
   Creswell JW, 2009, J MIX METHOD RES, V3, P95, DOI 10.1177/1558689808330883
   Dawley S, 2010, LOCAL ECON, V25, P650, DOI 10.1080/02690942.2010.533424
   Dolega L., 2015, Studia Regionalne i Lokalne - Polish Section of the Regional Studies Association, V2, P8, DOI [DOI 10.7366/1509499526001, 10.7366/1509499526001]
   Dolega L, 2020, CITIES, V96, DOI 10.1016/j.cities.2019.102456
   EHI, 2021, TOP 20 UMS WAR ONL H
   Erkip F, 2014, CITIES, V36, P112, DOI 10.1016/j.cities.2012.12.003
   Fernandes JR, 2014, CITIES, V36, P170, DOI 10.1016/j.cities.2012.11.006
   Friedrich C., 2022, 31 INNENSTADTE EINZE, P61
   Gong HW, 2020, TIJDSCHR ECON SOC GE, V111, P497, DOI 10.1111/tesg.12447
   Hardaker S., 31 INNENSTADTE EINZE, P153
   Hardaker S, 2022, TIJDSCHR ECON SOC GE, V113, P310, DOI 10.1111/tesg.12511
   Harrison RL, 2011, QUAL MARK RES, V14, P7, DOI 10.1108/13522751111099300
   HDE German Trade Association, 2020, HERBSTPR HAND DEUTSC
   HDE German Trade Association, 2021, EINZ ERLE 2020 JAHR
   Jones L., 2015, MEASURINGSUBJECTIVE
   Jones L, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.552
   Jones P., 2020, INT J MANAGEMENT CAS, V21, P5
   Katz C., 2004, GROWING GLOBAL EC RE
   Kolf F, 2020, VIELE KLEINERE HANDL
   Kusrini K, 2015, PROCEDIA COMPUT SCI, V72, P495, DOI 10.1016/j.procs.2015.12.131
   Leixnering S, 2022, URBAN STUD, V59, P1300, DOI 10.1177/0042098021998923
   Lengnick-Hall CA., 2003, NAT AC MAN M SEATTL
   Lengnick-Hall CA, 2011, HUM RESOUR MANAGE R, V21, P243, DOI 10.1016/j.hrmr.2010.07.001
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Marshall NA, 2007, ECOL SOC, V12, DOI 10.5751/es-01940-120101
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Martinelli E, 2018, INT J ENTREP BEHAV R, V24, P1222, DOI 10.1108/IJEBR-11-2016-0386
   Maxwell D., 2015, RESILIENCE MEASUREME, V4
   Mayring Philipp, 2000, Qual. Soc. Res., V1, DOI 10.17169/fqs-1.2.1089
   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
   Ozuduru BH, 2014, CITIES, V36, P145, DOI 10.1016/j.cities.2012.10.003
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Prasad P., 2011, International Journal on Computer Science and Engineering IJCSE, V3, P2506
   Puff C., 2018, KONZEPTION MONITORIN
   Rao FJ, 2016, CITIES, V58, P97, DOI 10.1016/j.cities.2016.05.002
   Rauh J, 2020, Z WIRTSCHAFTSGEOGR, V64, P181, DOI 10.1515/zfw-2018-0034
   Rusk A, 2016, INT J HEALTH GEOGR, V15, DOI 10.1186/s12942-016-0038-8
   Schiappacasse P, 2018, RAUMFORSCH RAUMORDN, V76, P51, DOI 10.1007/s13147-018-0520-9
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Singleton AD, 2016, GEOFORUM, V69, P5, DOI 10.1016/j.geoforum.2015.11.013
   Strambach S., 2016, RESILIENZ WIRTSCHAFT, DOI [10.1007/978-3-658-09623-6_12, DOI 10.1007/978-3-658-09623-6_12]
   Timans R, 2019, THEOR SOC, V48, P193, DOI 10.1007/s11186-019-09345-5
   Ungar M, 2021, FRONT PSYCHOL, V11, DOI 10.3389/fpsyg.2020.607994
   Ungar M, 2019, CHILD ABUSE NEGLECT, V96, DOI 10.1016/j.chiabu.2019.104098
   Verhoef PC, 2015, J RETAILING, V91, P174, DOI 10.1016/j.jretai.2015.02.005
   Wrigley N., 2015, British High Streets: From Crisis to Recovery? A Comprehensive Review of the Evidence
   Wrigley N, 2011, ENVIRON PLANN A, V43, P2337, DOI 10.1068/a44270
NR 64
TC 10
Z9 10
U1 2
U2 36
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 SEP
PY 2022
VL 128
AR 103796
DI 10.1016/j.cities.2022.103796
EA JUL 2022
PG 11
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 2W0PI
UT WOS:000824236400001
OA hybrid
DA 2025-04-22
ER

PT J
AU Sun, L
   Li, HJ
   Nagel, J
   Yang, SY
AF Sun, Li
   Li, Haijiang
   Nagel, Joseph
   Yang, Siyao
TI Convergence of AI and Urban Emergency Responses: Emerging Pathway toward
   Resilient and Equitable Communities
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE urban community; critical infrastructure system; natural hazard;
   resilience; emergency response; artificial intelligence; deep
   reinforcement learning
ID TRANSPORTATION NETWORKS; SEISMIC RESILIENCE; OBJECT DETECTION;
   NEURAL-NETWORKS; REPAIR COST; 2015 GORKHA; EARTHQUAKE; INFRASTRUCTURE;
   DAMAGE; FRAMEWORK
AB Urban communities have long been pivotal in wealth creation and technological innovation. In the contemporary context, their modus operandi is intricately tied to a diverse array of critical infrastructure systems (CISs). These systems-encompassing utilities, transportation, communication, and more-are indispensable for daily life; however, historical lessons underscore that the ever-growing interdependence among modern CISs has sapped their robustness. Furthermore, this vulnerability is compounded by the intensifying natural hazards catalysed by climate change, leaving urban communities with eroded resilience. Against this backdrop, pilot studies have harnessed breakthroughs in artificial intelligence (AI) to chart a new course toward resilient urban communities. This paper illuminates AI-driven resilience by reviewing the latest research in key aspects including (1) the limitation of state-of-the-art resilience assessment frameworks; (2) emergency response as a novel blueprint featuring swift response following catastrophes; (3) efficient loss assessment of CISs using AI algorithms; and (4) machine-learning-enabled autonomous emergency response planning. The remaining challenges and hardships faced on the journey toward resilient urban communities are also discussed. The findings could contribute to the ongoing discourse on enhancing urban resilience in the face of increasingly frequent and destructive climate hazards.
C1 [Sun, Li; Li, Haijiang] Cardiff Univ, Sch Engn, Cardiff CF10 3AT, Wales.
   [Nagel, Joseph; Yang, Siyao] Dalian Univ Technol, Dept Engn Mech, State Key Lab Struct Anal Ind Equipment, Dalian 116024, Peoples R China.
C3 Cardiff University; Dalian University of Technology
RP Sun, L (corresponding author), Cardiff Univ, Sch Engn, Cardiff CF10 3AT, Wales.
EM sunl32@cardiff.ac.uk; lih@cardiff.ac.uk; yangs70@cardiff.ac.uk
RI LI, HAIJIANG/JJF-9281-2023
CR Abdar M, 2021, INFORM FUSION, V76, P243, DOI 10.1016/j.inffus.2021.05.008
   Aktas Y.D., 2023, P SECED 2023 C EARTH
   Albert R, 2004, PHYS REV E, V69, DOI 10.1103/PhysRevE.69.025103
   Alesch D.J., 2005, P 1 INT C URB DIS RE
   Ameri MR, 2019, J PERFORM CONSTR FAC, V33, DOI 10.1061/(ASCE)CF.1943-5509.0001315
   Andersson G, 2005, IEEE T POWER SYST, V20, P1922, DOI 10.1109/TPWRS.2005.857942
   [Anonymous], 2023, World Population Prospects 2022: Summary of Results
   [Anonymous], 2013, P 21 INT C NUCL ENG
   Ausiello G., 2003, Complexity and approximation: Cominatorial optimization problems and their approximality properties
   Awad E, 2018, NATURE, V563, P59, DOI 10.1038/s41586-018-0637-6
   Aydin NY, 2018, INT J DISAST RISK RE, V31, P832, DOI 10.1016/j.ijdrr.2018.07.022
   Balakrishnan S, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000769
   Bashan A, 2013, NAT PHYS, V9, P667, DOI 10.1038/NPHYS2727
   Batabyal AA, 1998, J ENVIRON MANAGE, V52, P373, DOI 10.1006/jema.1998.0183
   Batty M., 2007, Cities and complexity: Understanding cities with cellular automata, agentbased models, and fractals
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   BELLMAN R, 1957, J MATH MECH, V6, P679, DOI 10.1512/iumj.1957.6.56038
   Berizzi A, 2004, 2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2, P1673
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Blagojevi N., 2020, P 17 WORLD C EARTHQ
   Bodenmann L, 2020, EARTHQ SPECTRA, V36, P1802, DOI 10.1177/8755293020919423
   Bonnefon JF, 2016, SCIENCE, V352, P1573, DOI 10.1126/science.aaf2654
   Booth E, 2018, B EARTHQ ENG, V16, P1661, DOI 10.1007/s10518-017-0302-8
   Braik AM, 2024, COMPUT-AIDED CIV INF, V39, P2389, DOI 10.1111/mice.13197
   British Broadcasting Corporation, 2021, Climate Change: Huge Toll of Extreme Weather Disasters in 2021
   Brummitt CD, 2012, P NATL ACAD SCI USA, V109, pE680, DOI 10.1073/pnas.1110586109
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Buldyrev SV, 2010, NATURE, V464, P1025, DOI 10.1038/nature08932
   Caldarelli G, 2023, NAT COMPUT SCI, V3, P374, DOI 10.1038/s43588-023-00431-4
   Casari M, 2005, J REGUL ECON, V27, P47, DOI 10.1007/s11149-004-4418-9
   Chachra G, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-12965-0
   Cimellaro GP, 2011, EARTHQ ENG STRUCT D, V40, P1197, DOI 10.1002/eqe.1084
   Corsi S., 2004, P IEEE POW ENG SOC G
   Cremen G, 2023, INT J DISAST RISK RE, V85, DOI 10.1016/j.ijdrr.2022.103400
   Cremen G, 2021, COMPUT-AIDED CIV INF, V36, P747, DOI 10.1111/mice.12670
   Cutter SL, 2013, CHALL SUSTAIN, V1, P72, DOI 10.12924/cis2013.01020072
   Decò A, 2013, EARTHQ ENG STRUCT D, V42, P1469, DOI 10.1002/eqe.2282
   Didier M, 2018, SUSTAIN RESIL INFRAS, V3, P86, DOI 10.1080/23789689.2017.1364560
   Dueñas-Osorio L, 2009, STRUCT SAF, V31, P157, DOI 10.1016/j.strusafe.2008.06.007
   Dunn S, 2016, SUSTAIN CITIES SOC, V27, P23, DOI 10.1016/j.scs.2016.08.011
   Fagnant DJ, 2015, TRANSPORT RES A-POL, V77, P167, DOI 10.1016/j.tra.2015.04.003
   Fan XD, 2022, COMPUT-AIDED CIV INF, V37, P1547, DOI 10.1111/mice.12813
   Fang YP, 2019, EUR J OPER RES, V276, P1119, DOI 10.1016/j.ejor.2019.01.052
   Fraser S, 2013, B EARTHQ ENG, V11, P205, DOI 10.1007/s10518-012-9348-9
   Funabashi Y, 2012, B ATOM SCI, V68, P9, DOI 10.1177/0096340212440359
   Galasso C., 2024, Communications Engineering, P24, DOI [10.1038/s44172-024-00170-y, DOI 10.1038/S44172-024-00170-Y]
   Galasso C, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102158
   Gehl P, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103098
   Gehl P, 2022, B EARTHQ ENG, V20, P3995, DOI 10.1007/s10518-022-01349-4
   Ghannad P, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000799
   Ghosh S, 2019, ACM COMPUT SURV, V52, DOI 10.1145/3329784
   Glaeser E, 2011, SCIENCE, V333, P592, DOI 10.1126/science.1209264
   Goda K, 2013, B EARTHQ ENG, V11, P141, DOI 10.1007/s10518-012-9371-x
   Gökkaya K, 2016, GEOMAT NAT HAZ RISK, V7, P1948, DOI 10.1080/19475705.2016.1171259
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Holley P., 2019, The Washington Post17 April
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hu FY, 2016, SCI REP-UK, V6, DOI 10.1038/srep24522
   Huang XW, 2020, COMPUT SCI REV, V37, DOI 10.1016/j.cosrev.2020.100270
   Imperiale AJ, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101099
   Imperiale AJ, 2016, J RURAL STUD, V47, P204, DOI 10.1016/j.jrurstud.2016.08.002
   Inanlouganji A, 2022, TRANSPORT RES E-LOG, V163, DOI 10.1016/j.tre.2022.102752
   International Strategy for Disaster Reduction, 2005, P WORLD C DIS RED
   Iuchi K, 2013, EARTHQ SPECTRA, V29, pS479, DOI 10.1193/1.4000119
   Jumper J, 2021, NATURE, V596, P583, DOI 10.1038/s41586-021-03819-2
   Krger W., 2011, VULNERABLE SYSTEMS
   Krishnamurthy V, 2016, J INFRASTRUCT SYST, V22, DOI 10.1061/(ASCE)IS.1943-555X.0000296
   Krizhevsky A, 2017, COMMUN ACM, V60, P84, DOI 10.1145/3065386
   Kwiatkowski R, 2019, SCI ROBOT, V4, DOI 10.1126/scirobotics.aau9354
   Lateef F, 2019, NEUROCOMPUTING, V338, P321, DOI 10.1016/j.neucom.2019.02.003
   LeCun Y, 2015, NATURE, V521, P436, DOI 10.1038/nature14539
   Liang HB, 2023, IEEE T POWER DELIVER, V38, P353, DOI 10.1109/TPWRD.2022.3187162
   Liang X, 2019, COMPUT-AIDED CIV INF, V34, P415, DOI 10.1111/mice.12425
   Lindell MK, 1997, RISK ANAL, V17, P147, DOI 10.1111/j.1539-6924.1997.tb00854.x
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Lipson H., 2022, Driverless at Last: Cars, Artificial Intelligence, and You
   Liu C, 2022, EARTHQ ENG STRUCT D, V51, P2771, DOI 10.1002/eqe.3701
   Liu L, 2020, INT J COMPUT VISION, V128, P261, DOI 10.1007/s11263-019-01247-4
   Liu W, 2020, RELIAB ENG SYST SAFE, V203, DOI 10.1016/j.ress.2020.107088
   Liu XL, 2019, ARTIF INTELL REV, V52, P1089, DOI 10.1007/s10462-018-9641-3
   Lizundia B, 2017, EARTHQ SPECTRA, V33, pS1, DOI 10.1193/120817EQS252M
   Lu XZ, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9173497
   Ma QC, 2020, IEEE-ASME T MECH, V25, P1084, DOI 10.1109/TMECH.2020.2971618
   Mackie KR, 2010, EARTHQ ENG STRUCT D, V39, P281, DOI 10.1002/eqe.942
   Mavroulis S, 2022, B EARTHQ ENG, V20, P7933, DOI 10.1007/s10518-022-01317-y
   Mesta C, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-09347-x
   Milly PCD, 2002, NATURE, V415, P514, DOI 10.1038/415514a
   Mnih V, 2015, NATURE, V518, P529, DOI 10.1038/nature14236
   Mondal TG, 2020, STRUCT CONTROL HLTH, V27, DOI 10.1002/stc.2507
   Moreno J, 2019, INT J DISAST RISK RE, V34, P448, DOI 10.1016/j.ijdrr.2018.12.016
   Morita N, 2013, RADIAT RES, V180, P299, DOI 10.1667/RR3372.1
   Murphy RR, 2009, IEEE ROBOT AUTOM MAG, V16, P91, DOI 10.1109/MRA.2009.932521
   Murphy RR, 2014, INTELL ROBOT AUTON, P1
   Murphy RR, 2004, IEEE ROBOT AUTOM MAG, V11, P50, DOI 10.1109/MRA.2004.1337826
   Nichols JM, 2017, ASCE-ASME J RISK U A, V3, DOI 10.1061/AJRUA6.0000927
   Nozhati S, 2021, STRUCT SAF, V89, DOI 10.1016/j.strusafe.2020.102032
   Nozhati S, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106627
   Nozhati S, 2019, RELIAB ENG SYST SAFE, V181, P116, DOI 10.1016/j.ress.2018.09.011
   Okamura M, 2015, SOILS FOUND, V55, P1015, DOI 10.1016/j.sandf.2015.09.005
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Pan X, 2020, COMPUT-AIDED CIV INF, V35, P495, DOI 10.1111/mice.12549
   Petersen KH, 2019, SCI ROBOT, V4, DOI 10.1126/scirobotics.aau8479
   Pollitz FF, 2012, NATURE, V490, P250, DOI 10.1038/nature11504
   Powell WB, 2019, EUR J OPER RES, V275, P795, DOI 10.1016/j.ejor.2018.07.014
   Rahwan I, 2019, NATURE, V568, P477, DOI 10.1038/s41586-019-1138-y
   Rawat W, 2017, NEURAL COMPUT, V29, P2352, DOI [10.1162/NECO_a_00990, 10.1162/neco_a_00990]
   REASENBERG PA, 1989, SCIENCE, V243, P1173, DOI 10.1126/science.243.4895.1173
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Rosowsky DV, 2021, STRUCT SAF, V88, DOI 10.1016/j.strusafe.2020.102036
   Rudin C, 2019, NAT MACH INTELL, V1, P206, DOI 10.1038/s42256-019-0048-x
   Schmidt M, 2009, SCIENCE, V324, P81, DOI 10.1126/science.1165893
   Schrittwieser J, 2020, NATURE, V588, P604, DOI 10.1038/s41586-020-03051-4
   Schwarting W, 2019, P NATL ACAD SCI USA, V116, P24972, DOI 10.1073/pnas.1820676116
   Shamsabadi EA, 2022, AUTOMAT CONSTR, V140, DOI 10.1016/j.autcon.2022.104316
   Sharma K, 2018, GEOMAT NAT HAZ RISK, V9, P760, DOI 10.1080/19475705.2018.1480535
   Shinozuka M, 2007, EARTHQ ENG STRUCT D, V36, P227, DOI 10.1002/eqe.627
   Silver D, 2018, SCIENCE, V362, P1140, DOI 10.1126/science.aar6404
   Silver D, 2017, NATURE, V550, P354, DOI 10.1038/nature24270
   Silver D, 2016, NATURE, V529, P484, DOI 10.1038/nature16961
   Smith K, 2013, Environmental hazards: Assessing risk and reducing disaster
   Soden R, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-01039-2
   Sony S, 2021, ENG STRUCT, V226, DOI 10.1016/j.engstruct.2020.111347
   Sun L., 2015, P 12 INT C APPL STAT
   Sun L., 2017, Ph.D. Thesis
   Sun L, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-19637-z
   Sun L, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.108030
   Sun L, 2019, J INFRASTRUCT SYST, V25, DOI 10.1061/(ASCE)IS.1943-555X.0000492
   Sun L, 2019, RISK ANAL, V39, P1597, DOI 10.1111/risa.13277
   Sutton RS, 2018, ADAPT COMPUT MACH LE, P1
   Tao W., 2019, P 13 INT C APPL STAT
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   Tominaga T, 2014, HEALTH PHYS, V106, P630, DOI 10.1097/HP.0000000000000093
   Turchetta M., 2016, P 29 C NEUR INF PROC
   Valcamonico D, 2020, RELIAB ENG SYST SAFE, V197, DOI 10.1016/j.ress.2020.106800
   Velazquez O, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.533498
   Wachi A, 2018, AAAI CONF ARTIF INTE, P6548
   Werfel J, 2014, SCIENCE, V343, P754, DOI 10.1126/science.1245842
   World Health Organization, 2024, WHO CORONAVIRUS COVI
   Wu YY, 2021, RELIAB ENG SYST SAFE, V211, DOI 10.1016/j.ress.2021.107612
   Xie YZ, 2020, EARTHQ SPECTRA, V36, P1769, DOI 10.1177/8755293020919419
   Xu M, 2024, RELIAB ENG SYST SAFE, V241, DOI 10.1016/j.ress.2023.109599
   Xu M, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108378
   Yang S, 2024, RELIAB ENG SYST SAFE, V242, DOI 10.1016/j.ress.2023.109754
   Yoon S, 2021, GEOMAT NAT HAZ RISK, V12, P2629, DOI 10.1080/19475705.2021.1961881
   Young S, 2004, SCI TOTAL ENVIRON, V322, P3, DOI 10.1016/S0048-9697(03)00446-7
   Zhang LX, 2022, EARTHQ ENG ENG VIB, V21, P1, DOI 10.1007/s11803-022-2074-7
   Zhang LL, 2012, LANCET, V379, P853, DOI 10.1016/S0140-6736(11)61876-X
   Zhang N, 2023, COMPUT-AIDED CIV INF, V38, P411, DOI 10.1111/mice.12843
   Zhang Y, 2018, STRUCT SAF, V72, P1, DOI 10.1016/j.strusafe.2017.12.001
   Zhao B, 2010, J EARTHQ ENG, V14, P578, DOI 10.1080/13632460903274053
   Zhao TY, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102246
   Zhao ZQ, 2019, IEEE T NEUR NET LEAR, V30, P3212, DOI 10.1109/TNNLS.2018.2876865
NR 152
TC 0
Z9 0
U1 17
U2 18
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 SEP
PY 2024
VL 14
IS 17
AR 7949
DI 10.3390/app14177949
PG 20
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA F6X9B
UT WOS:001311236500001
OA gold
DA 2025-04-22
ER

PT J
AU Hong, YL
   Zhang, Z
   Fang, XY
   Lu, LJ
AF Hong, Yilin
   Zhang, Zhan
   Fang, Xinyi
   Lu, Linjun
TI Evaluating the Dynamic Comprehensive Resilience of Urban Road Network: A
   Case Study of Rainstorm in Xi'an, China
SO LAND
LA English
DT Article
DE rainstorm; resilience; traffic performance; network structure; urban
   function
ID RAINFALL
AB Rainstorms and flooding are among the most common natural disasters, which have a number of impacts on the transport system. This reality highlights the importance of understanding resilience-the ability of a system to resist disruptions and quickly recover to operational status after damage. However, current resilience assessments often overlook transport network functions and lack dynamic spatiotemporal analysis, posing challenges for comprehensive disaster impact evaluations. This study proposes an SR-PR-FR comprehensive resilience evaluation model from three dimensions: structure resilience (SR), performance resilience (PR), and function resilience (FR). Moreover, a simulation model based on Geographic Information System (GIS) and Simulation of Urban MObility (SUMO) is developed to analyze the dynamic spatial-temporal effects of a rainstorm on traffic during Xi'an's evening rush hour. The results reveal that the southwest part of Xi'an is most prone to being congested and slower to recover, while downtown flooding is the deepest, severely affecting emergency services' efficiency. In addition, the road network resilience returns to 70% of the normal values only before the morning rush the next day. These research results are presented across both temporal and spatial dimensions, which can help managers propose more targeted recommendations for strengthening urban risk management.
C1 [Hong, Yilin; Fang, Xinyi; Lu, Linjun] Shanghai Jiao Tong Univ, Sch Ocean & Civil Engn, Dept Traff Engn, Shanghai 200240, Peoples R China.
   [Zhang, Zhan] Shanghai Jiao Tong Univ, Sch Design, Shanghai 200240, Peoples R China.
C3 Shanghai Jiao Tong University; Shanghai Jiao Tong University
RP Zhang, Z (corresponding author), Shanghai Jiao Tong Univ, Sch Design, Shanghai 200240, Peoples R China.
EM hongyilin@sjtu.edu.cn; zhanzhang@sjtu.edu.cn; fxy12138@sjtu.edu.cn;
   linjunlu@sjtu.edu.cn
RI FANG, XINYI/GWZ-3253-2022; Lu, Linjun/L-6856-2019; Zhang,
   Zhan/HKF-5211-2023
OI zhang, zhan/0000-0002-3481-1149; Fang, Xinyi/0009-0005-4940-3796; Lu,
   Linjun/0000-0002-1296-3926
FU Shanghai Planning Office of Philosophy and Social Science;  [2023BCK007]
FX This research was funded by the Shanghai Planning Office of Philosophy
   and Social Science, grant number 2023BCK007.
CR Administration of Quality Supervision and Inspection and Quarantine of the People's Republic of China, 2016, Specification for Urban Traffic Performance Evaluation
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 2024, Xi'an Bureau of Emergency Management
   [Anonymous], 2017, Ministry of Housing and Urban-Rural Development, Ministry of Finance and People's Bank of China
   [Anonymous], 2019, 512452017 GBT
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chen HR, 2022, J CLEAN PROD, V368, DOI 10.1016/j.jclepro.2022.133237
   DeMers M., 2008, Fundamentals of Geographical Information Systems, V4th
   Dijkstra E.W., 2022, Numerische Mathematik, P287, DOI 10.1007/BF01386390
   Ding JY, 2024, LAND-BASEL, V13, DOI 10.3390/land13060753
   Erdmann J, 2015, LECT N MOBIL, P105, DOI 10.1007/978-3-319-15024-6_7
   Escandón-Panchana P, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-04576-8
   Fang XY, 2023, TRANSPORT RES D-TR E, V121, DOI 10.1016/j.trd.2023.103819
   Gawron C., 1998, Ph.D. Thesis
   German Aerospace Center, 2022, ABOUT US
   Gonçalves LAPJ, 2020, J TRANSP GEOGR, V85, DOI 10.1016/j.jtrangeo.2020.102727
   Hauer E., 1995, TRAFFIC ENG CONTROL, V36, P134
   He YY, 2021, TRANSPORT RES D-TR E, V96, DOI 10.1016/j.trd.2021.102889
   Hinge G, 2024, WATER-SUI, V16, DOI 10.3390/w16010173
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hsieh CH, 2020, TRANSPORT POLICY, V87, P1, DOI 10.1016/j.tranpol.2018.08.010
   Hu R., 2021, Hydroelectr. Energy Sci, V39, P8, DOI [10.11648/j.sjee.20210901.12, DOI 10.11648/J.SJEE.20210901.12]
   [黄华兵 Huang Huabing], 2021, [地理科学进展, Progress in Geography], V40, P1048
   HUFF FA, 1967, WATER RESOUR RES, V3, P1007, DOI 10.1029/WR003i004p01007
   Kiefer C.J., 1957, J HYDRAUL DIV, V83, P1, DOI [10.1061/JYCEAJ.0000104, DOI 10.1061/JYCEAJ.0000104]
   Krajzewicz D, 2010, INT SER OPER RES MAN, V145, P269, DOI 10.1007/978-1-4419-6142-6_7
   Krauss S., 1998, Microscopic modeling of traffic flow: Investigation of collision free vehicle dynamics
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Lee J, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19051227
   Li M., 2022, Masters Thesis, DOI [10.27149/d.cnki.ghdsu.2022.003616, DOI 10.27149/D.CNKI.GHDSU.2022.003616]
   Liu ZZ, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131350
   Lu YD, 2022, J ADV TRANSPORT, V2022, DOI 10.1155/2022/3682472
   Luce R.D., 1949, Psychometrika, V14, P95
   Maranzoni A, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12855
   Mcdermott T., 2017, P IR EC ASS ANN C 20
   Ministry of Housing and Urban-Rural Development of the People's Republic of China, 2014, Code for Design of Metro
   Ministry of Housing and Urban-Rural Development of the People's Republic of China, 2012, CODE DESIGN URBAN RO
   National Bureau of Statistics of China, 2021, ABOUT US
   Ni XY, 2022, J TRANSP ENG A-SYST, V148, DOI 10.1061/JTEPBS.0000670
   Nigam A, 2023, J INTELL TRANSPORT S, V27, P19, DOI 10.1080/15472450.2021.1983809
   Parliament P.T., 2014, Transport Resilience Review A Review of the Resilience of the Transport Network to Extreme Weather Events Forecasting
   PILGRIM DH, 1975, J HYDR ENG DIV-ASCE, V101, P81
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Pulugurtha SS, 2020, TRANSP LETT, V12, P9, DOI 10.1080/19427867.2018.1501963
   Pyatkova K, 2019, J ENVIRON MANAGE, V244, P48, DOI 10.1016/j.jenvman.2019.05.013
   Qiao YN, 2023, TRANSPORT RES D-TR E, V123, DOI 10.1016/j.trd.2023.103919
   Qin H., 2020, Mod. Bus, V12, P55, DOI [10.14097/j.cnki.5392/2020.12.024, DOI 10.14097/J.CNKI.5392/2020.12.024]
   Ramirez JA, 2020, ANTHROPOCENE, V32, DOI 10.1016/j.ancene.2020.100266
   Ren H., 2019, Analysis of Road Network Patterns in Xi'an and Exploration of 'Narrow Roads, Dense Road Network' in Xi'an
   Sahu MK, 2023, MODEL EARTH SYST ENV, V9, P3029, DOI 10.1007/s40808-023-01704-7
   Shaojun L., 2018, Meteorology and Disaster Reduction Research
   Song D., 2020, Masters Thesis, DOI [10.27050/d.cnki.gglgc.2021.000469, DOI 10.27050/D.CNKI.GGLGC.2021.000469]
   Taghizadeh M, 2023, RELIAB ENG SYST SAFE, V236, DOI 10.1016/j.ress.2023.109255
   Webster F. V., 1958, Road Research Technical Parser No. 39
   Wei M, 2022, LAND-BASEL, V11, DOI 10.3390/land11101834
   Wei Y, 2024, LAND-BASEL, V13, DOI 10.3390/land13040506
   Wu YY, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103754
   Xu J., 2010, Introduction to Traffic Engineering
   Yang ZZ, 2023, J ADV TRANSPORT, V2023, DOI 10.1155/2023/6648740
   YEN BC, 1980, J HYDR ENG DIV-ASCE, V106, P1055
   Yin K, 2023, TRANSPORT RES A-POL, V173, DOI 10.1016/j.tra.2023.103687
   Yin L, 2023, ADV ATMOS SCI, V40, P374, DOI 10.1007/s00376-022-2054-x
   Zhang ML, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127105
   Zhang N, 2020, TRANSPORT RES D-TR E, V83, DOI 10.1016/j.trd.2020.102281
   Zhang XQ, 2023, J CLEAN PROD, V423, DOI 10.1016/j.jclepro.2023.138840
   Zhang XW, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2022.101402
NR 66
TC 0
Z9 0
U1 18
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD NOV
PY 2024
VL 13
IS 11
AR 1894
DI 10.3390/land13111894
PG 24
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA N6W1S
UT WOS:001365708400001
OA gold
DA 2025-04-22
ER

PT J
AU Grabowski, ZJ
   Klos, PZ
   Monfreda, C
AF Grabowski, Zbigniew J.
   Klos, P. Zion
   Monfreda, Chad
TI Enhancing urban resilience knowledge systems through experiential
   pluralism
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Urban resilience; Knowledge systems; Alienation; Epistemological
   pluralism; Experiential pluralism; Climate change
ID CLIMATE-CHANGE; CITIES; CITY; TRANSFORMATIONS; COMMUNITIES; QUALITY;
   WALKING; NORTH; SMART
AB Urban resilience to climate change scholarship has increasingly focused on increasing its salience for existing decision making processes. At the same time, large inequalities in vulnerability to climate change mirror inequalities in the social power of different urban residents. Existing approaches have improved epistemological pluralism and reflexivity in knowledge systems research, yet remain hotly contested by urban communities. Conceptual gaps have become evident on how knowledge systems research addresses highly unequal forms of decision-making largely responsible for the problems that resilience research now paradoxically seeks to address. Because of these dynamics, knowledge systems research continues to grapple with the fundamental and politically charged question of what constitutes 'knowledge,' in urban systems. Drawing upon our own experiences as resilience researchers and a select review of literature on the philosophy and politics of knowledge production, we offer the concept of 'experiential pluralism,' defined as the acknowledgement of the inherent validity of individual and collective experiences in framing knowledge needs despite their seeming contradictions, to explore how knowledge systems may address issues of social alienation prevalent in cities. We offer concrete examples of how such a shift makes ethics explicit in research, places greater emphasis on relationship building, and place based creativity in addressing urban climate resilience challenges. In closing, we discuss the role of addressing alienation through experiential pluralism in order to create more democratic modes of urban governance.
C1 [Grabowski, Zbigniew J.] Cary Inst Ecosyst Studies, 2801 Sharon Turnpike, Millbrook, NY 12545 USA.
   [Grabowski, Zbigniew J.] New Sch, Urban Syst Lab, 79 Fifth Ave,16thFloor, New York, NY 10003 USA.
   [Klos, P. Zion] Marist Coll, Dept Environm Sci & Policy, Poughkeepsie, NY 12601 USA.
   [Monfreda, Chad] Princeton Univ, Princeton Mellon Initiat, Princeton, NJ 08544 USA.
C3 Cary Institute of Ecosystem Studies; The New School; Marist College;
   Princeton University
RP Grabowski, ZJ (corresponding author), Cary Inst Ecosyst Studies, 2801 Sharon Turnpike, Millbrook, NY 12545 USA.
EM grabowskiz@caryinstitute.org
RI GRABOWSKI, ZBIGNIEW/AAH-4566-2020
OI Klos, P. Zion/0000-0002-9563-6065
FU NSF - Graduate Research Fellowship Program [DGE-1057604]; NSF-IGERT
   Program [0966376, 0903479, 0504248]; Division Of Graduate Education;
   Direct For Education and Human Resources [0504248] Funding Source:
   National Science Foundation
FX The authors would like to thank the conveners of the Third Annual
   Conference for Sustainability IGERTS held in Portland, Oregon, USA in
   September 2013, as well as Renee Hill for insight, comments and feedback
   on earlier versions of the manuscript. Further support for this work was
   provided from the NSF - Graduate Research Fellowship Program under Grant
   #DGE-1057604, and the NSF-IGERT Program under Grants #0966376, 0903479
   and 0504248.
CR Abram D., 2011, BECOMING ANIMAL EART
   Abram David., 1997, SPELL SENSUOUS PERCE
   Alfred T., 1999, Peace, power, righteousness: An indigenous manifesto, V171
   Altamirano-Allende C., 2016, Journal of Environmental Studies and Sciences, V6, P460, DOI DOI 10.1007/S13412-015-0273-5
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 1991, PRODUCTION SPACE
   [Anonymous], 1995, DEEP ECOLOGY 21 CENT, DOI DOI 10.1017/S0030605303000383
   [Anonymous], 1925, SCI MODERN WORLD LOW
   [Anonymous], 2004, EARTHLY POLITICS LOC
   [Anonymous], 2011, HUMAN DIMENSIONS ECO
   [Anonymous], METHOD
   Baba M.L., 2000, Napa Bulletin, V18, P17
   Backstrand K., 2003, GLOBAL ENVIRON POLIT, V3, P24, DOI [10.1162/152638003322757916, DOI 10.1162/152638003322757916]
   Bassett K, 2004, J GEOGR HIGHER EDUC, V28, P397, DOI 10.1080/0309826042000286965
   Batterbury S, 1997, GEOGR J, V163, P126
   Becker H. S, 1967, OTHER SIDE PERSPECTI, V196
   Bekoff M, 2000, BIOSCIENCE, V50, P861, DOI 10.1641/0006-3568(2000)050[0861:AEEPN]2.0.CO;2
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Bennett R, 2010, ECODISTRICTS FRAMEWO
   Bourdieu Pierre., 2001, Masculine Domination
   Brenner N., 2009, CITY ANAL URBAN TREN, V13, P198, DOI DOI 10.1080/13604810902996466
   Brenner N, 2010, GLOBAL NETW, V10, P182, DOI 10.1111/j.1471-0374.2009.00277.x
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Byrd T., 2017, Disability, Space, Architecture, P241
   Callon M., 1995, SCI QUEST REALITY, P249, DOI DOI 10.1007/978-1-349-25249-7_11
   Campbell S, 1996, J AM PLANN ASSOC, V62, P296, DOI 10.1080/01944369608975696
   Cartwright N., 1999, The Dappled World. A Study of the Boundaries of Science
   Cherney James., 2011, Disability Studies Quarterly, V31, DOI DOI 10.18061/DSQ.V31I3.1665
   Chua L, 2015, J ROY ANTHROPOL INST, V21, P641, DOI 10.1111/1467-9655.12254
   Cook B. R., 2018, WILEY INTERDISCIPLIN, pe570
   Cooren F., 2000, Quarterly Journal of Speech, V86, P295, DOI [DOI 10.1080/00335630009384298, https://doi.org/10.1080/00335630009384298]
   Coseru C, 2009, ASIAN PHILOS, V19, P239, DOI 10.1080/09552360903231018
   Davidson M, 2010, POPUL SPACE PLACE, V16, P395, DOI 10.1002/psp.584
   Davies SR, 2013, LEONARDO, V46, P76, DOI 10.1162/LEON_a_00489
   Debord G, 1956, METHODS DETOURNEMENT, V8
   Deloria Vine., 2003, God Is Red: A Native View of Religion
   Edwards T, 2018, J LINGUIST ANTHROPOL, V28, P273, DOI 10.1111/jola.12199
   Edwards T, 2012, LANG SOC, V41, P29, DOI 10.1017/S004740451100090X
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Escobar A., 1998, Journal of Political Ecology, V5, P53, DOI DOI 10.2458/V5I1.21397
   Fazey I, 2018, CLIM DEV, V10, P197, DOI 10.1080/17565529.2017.1301864
   Fink JH, 2011, IBM J RES DEV, V55, DOI 10.1147/JRD.2010.2090076
   Fisher A., 2013, RADICAL ECOPSYCHOLOG, Vsecond
   Fraser B., 2019, Journal of Literary Cultural Disability Studies, V13, P21
   Gabrys J, 2012, SCI CULT-UK, V21, P1, DOI 10.1080/09505431.2010.550139
   Gibson KJ, 2007, TRANSFORM ANTHROPOL, V15, P3, DOI 10.1525/tran.2007.15.1.03
   Gibson-Graham JK., 2003, COMPANION EC GEOGRAP, P95
   Gieryn TF, 2006, SOC STUD SCI, V36, P5, DOI 10.1177/0306312705054526
   Goodley D., 2014, DISABILITY STUDIES T, DOI DOI 10.4324/9780203366974
   Gould K.A., 2012, The World in Brooklyn: Gentrification, Immigration, and Ethnic Politics in a Global City, V2, P113
   Groys B., 2012, Art power
   Hardin CD, 2001, COGNITIVE SOCIAL PSYCHOLOGY, P3
   Harman G., 2002, Handbook of the Logic of Argument and Inference: The Turn Towards the Practical, V1, P171
   Harrison M, 2004, HOUSING STUD, V19, P691, DOI 10.1080/0267303042000249152
   Heilbroner RobertL., 1985, The Nature and Logic of Capitalism. New York W.W. Norton Hernandez, Victor 2010 Paty Duarte Franco, Madre de ABC increpa a Felipe Calderon. [Paty Duarte Franco
   James W., 1879, WRITINGS W JAMES, P317, DOI DOI 10.1093/MIND/OS-4.15.317
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Kingsland SharonE., 2005, EVOLUTION AM ECOLOGY
   Kinney PL, 2008, AM J PREV MED, V35, P459, DOI 10.1016/j.amepre.2008.08.025
   Kinsella E., 2018, CAN ARTISTS DO ANYTH
   Kormann C, 2018, MIAMI FACES UNDERWAT
   Kovach Margaret., 2015, RES RESISTANCE REVIS, VSecond, P43
   Kropotkin Peter., 1922, MUTUAL AID FACTOR EV
   Lachmund J, 2013, COPRODUCTION SCI POL
   Laing R.D., 1990, POLITICS EXPERIENCE
   Lawhon M, 2012, PROG HUM GEOG, V36, P354, DOI 10.1177/0309132511427960
   Lesen A. E, 2016, SCI EXPERTS CIVIL EN
   Light JenniferS., 2009, The Nature of Cities: Ecological Visions and the American Urban Professions, 1920-1960
   Lubitow A, 2013, ENVIRON JUSTICE, V6, P121, DOI 10.1089/env.2013.0018
   Marris P., 2014, Loss and change (Psychology revivals)
   Martin CJ, 2018, TECHNOL FORECAST SOC, V133, P269, DOI 10.1016/j.techfore.2018.01.005
   Marx K., 1961, DAS KAPITAL CRITIQUE
   MASON J., 2018, Affinities, Potent Connections in Personal Life
   Massey DS, 2018, ETHNIC RACIAL STUD, V41, P1594, DOI 10.1080/01419870.2017.1312010
   Miller TR, 2014, SUSTAIN SCI, V9, P239, DOI 10.1007/s11625-013-0224-6
   Miller TR, 2008, ECOL SOC, V13
   Monteverdi S, 2017, DESPITE PROGR NO QUE
   Moore S.A., 2006, Alternative routes to the sustainable city: Austin, Curitiba, and Frankfurt
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   Newell P, 2013, GEOGR J, V179, P132, DOI 10.1111/geoj.12008
   O'Brien K, 2018, CURR OPIN ENV SUST, V31, P153, DOI 10.1016/j.cosust.2018.04.010
   O'Brien KL, 2016, WIRES CLIM CHANGE, V7, P618, DOI 10.1002/wcc.413
   Parker JN, 2012, AM SOCIOL REV, V77, P21, DOI 10.1177/0003122411433763
   Pietila Antero., 2012, Not in My Neighborhood: How Bigotry Shaped a Great American City
   Purcell M., 2013, The down-deep delight of democracy
   Ramos M.R., 2018, Emerging Trends in the Social and Behavioral Sciences, P1, DOI [DOI 10.1002/9781118900772.ETRDS, DOI 10.1002/9781118900772.ETRDS0465]
   Ranciere J, 2013, BLOOMSB REVELAT, P1
   Rothstein Richard, 2017, The Color of Law: A Forgotten History of How Our Government Segregated America
   Sakai J., 2014, SETTLERS MYTHOLOGY W
   Schacht Richard., 2015, Alienation
   Scott J.C, 2020, Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed
   Seeman M, 1959, AM SOCIOL REV, V24, P6
   Seifert T, 2010, J HAPPINESS STUD, V11, P277, DOI 10.1007/s10902-009-9140-y
   Smith Neil., 1982, Uneven Development: Nature, Capital, and the Production of Space
   Sohn-Rethel Alfred., 1978, INTELLECTUAL MANUAL
   Solnit Rebecca., 2001, Wanderlust: A History of Walking
   Spinney J, 2009, GEOGR COMPASS, V3, P817, DOI 10.1111/j.1749-8198.2008.00211.x
   Spoon J, 2014, ECOL SOC, V19, DOI 10.5751/ES-06549-190333
   Steele W, 2012, INT PLAN STUD, V17, P67, DOI 10.1080/13563475.2011.638188
   Stoker Gerry., 2016, Why politics matters: Making democracy work
   TallBear K., 2011, AM ANTHR ASS M
   Vaughan L, 2009, CARTOGR J, V46, P316, DOI 10.1179/000870409X12541388437132
   Vernadsky W.I., 1945, American Scientist, V33, pxxii
   Weichselgartner J, 2010, GLOBAL ENVIRON CHANG, V20, P266, DOI 10.1016/j.gloenvcha.2009.11.006
   Wendt A., 2015, Quantum Mind and Social Science: Unifying Physical and Social Ontology
   White J. B, 2017, FACEBOOK ALLOWED RAC
   Wijsman K, 2019, J ENV SCI POLICY
   Wise Time., 2010, Colorblind: The Rise of Post-Racial Politics and the Retreat from Racial Equity
   Wynne B., 1992, PUBLIC UNDERST SCI, V1, P281, DOI DOI 10.1088/0963-6625/1/3/004
   Yusoff K, 2011, WIRES CLIM CHANGE, V2, P516, DOI 10.1002/wcc.117
NR 110
TC 22
Z9 24
U1 2
U2 25
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 JUN
PY 2019
VL 96
BP 70
EP 76
DI 10.1016/j.envsci.2019.03.007
PG 7
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HX6KQ
UT WOS:000467512900009
DA 2025-04-22
ER

PT J
AU Dang, H
   Bai, JZ
   Lü, Y
   Li, J
AF Dang, Hui
   Bai, Jizhou
   Lu, Yihe
   Li, Jing
TI The cascade failure model under ecological network is effective for
   quantifying the resilience of urban regions
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Network simulation; Cascade failure; Ecological network; Ecological
   resilience; Urban planning; Ecosystem management
ID ECOSYSTEM SERVICES; VULNERABILITY; FRAMEWORK; GROWTH
AB Human activities and natural disasters degrade urban ecosystems and cause ecological fragmentation at regional scale. It is therefore necessary to create or rehabilitate useful linkages between ecological spaces. Although ecosystem resilience is receiving increasing attention, most studies focus on the spatiotemporal changes of alternative indicators of ecosystem resilience, without considering the changes in the structure and function of internal ecological nodes. Therefore, this study presents a novel research framework that uses cascade failure model based on the ecological network (EN) to evaluate the resilience of typical urban areas. The framework combines "importance-vulnerability" scored ecological sources identification with minimum cumulative resistance simulation to quantitatively characterize the urban region as an EN and assesses the resilience of the urban EN using a capacity-load cascade failure model. The framework was tested in the Xi'an metropolitan region in China resulted in the regional EN with 191 nodes and 571 edges. It was found that the EN of the Xi'an metropolitan region was relatively stable. The network will completely break down only when the node failure rate exceeds 85 %. The framework we propose offers a novel and powerful approach for policymakers to plan for the conservation and development of ecological infrastructure and land uses in urban region context.
C1 [Dang, Hui; Lu, Yihe] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.
   [Dang, Hui; Lu, Yihe] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Bai, Jizhou; Li, Jing] Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China.
C3 Chinese Academy of Sciences; Research Center for Eco-Environmental
   Sciences (RCEES); Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Shaanxi Normal University
RP Lü, Y (corresponding author), Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.
EM huidang_st@rcees.ac.cn
CR [Anonymous], 2005, Ecosystems and human well-being: Desertification synthesis
   Arani BMS, 2021, SCIENCE, V372, P1168, DOI 10.1126/science.aay4895
   Bai X., 2024, Science, V383, P6687
   Bashan A, 2013, NAT PHYS, V9, P667, DOI 10.1038/NPHYS2727
   Borgström S, 2016, LAND USE POLICY, V52, P439, DOI 10.1016/j.landusepol.2016.01.004
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Canadell JG, 2007, P NATL ACAD SCI USA, V104, P18866, DOI 10.1073/pnas.0702737104
   Chakraborti S, 2018, ECOL INDIC, V93, P952, DOI 10.1016/j.ecolind.2018.05.036
   Chen H, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105018
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Dadashpoor H, 2022, GEOJOURNAL, V87, P4335, DOI 10.1007/s10708-021-10435-0
   Dang H, 2023, GLOB ECOL CONSERV, V46, DOI 10.1016/j.gecco.2023.e02602
   De Montis A, 2016, LAND USE POLICY, V50, P312, DOI 10.1016/j.landusepol.2015.10.004
   Dixit V, 2020, INT J PROD ECON, V227, DOI 10.1016/j.ijpe.2020.107655
   Erker S, 2017, J CLEAN PROD, V164, P420, DOI 10.1016/j.jclepro.2017.06.163
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Fujii H, 2017, J CLEAN PROD, V168, P271, DOI 10.1016/j.jclepro.2017.08.221
   Gao J, 2024, LAND USE POLICY, V139, DOI 10.1016/j.landusepol.2024.107059
   He N., 2007, Computer Science, V2007, P17
   Hines PDH, 2017, IEEE T POWER SYST, V32, P958, DOI [10.1109/TPWRS.2016.2578259, 10.1109/PESGM.2017.8273859]
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong Y, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110967
   Hu Y, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acec89
   Huang LY, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102865
   Hüse B, 2016, LAND USE POLICY, V57, P574, DOI 10.1016/j.landusepol.2016.06.026
   Hutchinson MF., 1991, Data Assimilation Systems, P104
   JONGMAN RHG, 1995, LANDSCAPE URBAN PLAN, V32, P169, DOI 10.1016/0169-2046(95)00197-O
   Kong FH, 2010, LANDSCAPE URBAN PLAN, V95, P16, DOI 10.1016/j.landurbplan.2009.11.001
   Lei Z.D., 2009, Integration and Reconstruction: A Study of the Transformation of Rural Settlements in Guanzhong
   Li C, 2021, J CLEAN PROD, V314, DOI 10.1016/j.jclepro.2021.127935
   Li F, 2015, ECOL MODEL, V318, P194, DOI 10.1016/j.ecolmodel.2014.09.002
   Liu XP, 2023, ENVIRON RES COMMUN, V5, DOI 10.1088/2515-7620/acc5dc
   Mavhura E, 2021, INT J DISAST RISK RE, V57, DOI 10.1016/j.ijdrr.2021.102152
   Mujjuni F, 2021, RENEW SUST ENERG REV, V152, DOI 10.1016/j.rser.2021.111684
   Mukhopadhyay A., 2024, Ecohydrol. Hydrobiol
   Mumby PJ, 2014, CURR OPIN ENV SUST, V7, P22, DOI 10.1016/j.cosust.2013.11.021
   Peng J, 2018, SCI TOTAL ENVIRON, V644, P781, DOI 10.1016/j.scitotenv.2018.06.292
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Raj A, 2023, ECOL MODEL, V478, DOI 10.1016/j.ecolmodel.2023.110283
   RENARD KG, 1991, J SOIL WATER CONSERV, V46, P30
   Sharp R., 2014, InVEST User's Guide
   Shen W, 2023, J CLEAN PROD, V406, DOI 10.1016/j.jclepro.2023.137038
   UNDERWOOD AJ, 1992, J EXP MAR BIOL ECOL, V161, P145, DOI 10.1016/0022-0981(92)90094-Q
   Wang KW, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104783
   Wang S, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103561
   Wang T, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108101
   Wang WP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10063-w
   Xia CH, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104223
   Xu WX, 2021, J CLEAN PROD, V286, DOI 10.1016/j.jclepro.2020.125523
   YAGER RR, 1988, IEEE T SYST MAN CYB, V18, P183, DOI 10.1109/21.87068
   Yao Y, 2024, GLOBAL CHANGE BIOL, V30, DOI 10.1111/gcb.17291
   Yao Y, 2022, AGR FOREST METEOROL, V314, DOI 10.1016/j.agrformet.2022.108809
   Zhang DH, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109118
   Zhang R, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127158
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhao JC, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10094
NR 57
TC 3
Z9 4
U1 67
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 NOV 1
PY 2024
VL 114
AR 105749
DI 10.1016/j.scs.2024.105749
EA AUG 2024
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 F2A6I
UT WOS:001307900800001
DA 2025-04-22
ER

PT J
AU Pang, P
   Guo, Z
   Wang, YC
AF Pang, Pearlyn
   Guo, Zhou
   Wang, Yi-Chen
TI Assessing urban-rural climate resilience of metropolitan Yangon, Myanmar
SO SINGAPORE JOURNAL OF TROPICAL GEOGRAPHY
LA English
DT Article
DE drought; geospatial analysis; urbanizing Yangon; urban-rural continuum;
   Baseline Resilience Indicators for communities
ID LAND-USE; DROUGHT; VALIDATION; ACCURACY; POLICY
AB Globally, communities are constantly responding and coping with risks due to climate and land-use land-cover change. In Southeast Asia, impacts from these changes are evident in hydro-meteorological hazards that are projected to increase in anomaly, frequency and magnitude. In response to these risks, the concept of climate-community resilience is widely applied in research and policy-making. Although previous studies have adopted index-based approaches, an over-simplified urban-rural dichotomy is perpetuated in visualization and disaster governance. This study thus aims to uncover how the geographic dynamics of urban-rural resilience can be assessed and represented as a continuous, uneven and active process. With drought as the hazard of concern, this study models resilience along the urban-rural continuum in Yangon, Myanmar. The results show that resilience is not dichotomous in form. Areas of high resilience are mostly located along boundaries of contiguous administrative towns, rather than abiding by the physical landscape morphology. It also depends on the intrinsic fabric of a community, that is, its degree of urbanism and ruralness. The study supports the usage of continuous representation in future resilience assessments for relatively urbanized and urbanizing regions. It encourages the conceptualization of disaster governance that considers the decentralization of resilient systems.
C1 [Pang, Pearlyn; Guo, Zhou; Wang, Yi-Chen] Natl Univ Singapore, Dept Geog, Singapore, Singapore.
   [Guo, Zhou] Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Guangzhou, Peoples R China.
C3 National University of Singapore; Sun Yat Sen University
RP Wang, YC (corresponding author), Natl Univ Singapore, Dept Geog, Singapore, Singapore.
EM geowyc@nus.edu.sg
RI Wang, Yi-Chen/F-6885-2012; GUO, ZHOU/P-6964-2018
OI Wang, Yi-Chen/0000-0002-3034-7377; GUO, ZHOU/0000-0003-2755-1999
FU K S Sandhu Graduate Scholarship of the ISEAS-Yusof Ishak Institute
FX Pearlyn Pang was supported by the K S Sandhu Graduate Scholarship of the
   ISEAS-Yusof Ishak Institute.
CR 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]
   Allen A, 2003, ENVIRON URBAN, V15, P135, DOI 10.1177/095624780301500103
   Allen A, 2010, PERI-URBAN WATER AND SANITATION SERVICES: POLICY, PLANNING AND METHOD, P27, DOI 10.1007/978-90-481-9425-4_2
   Amaratunga D., 2010, International Journal ofDisaster Resilience in the Built Environment, V1, P11, DOI [10.1108/17595901011026454, DOI 10.1108/17595901011026454]
   Asian Development Bank, 2017, LESS COMM LED ACT ST
   Bassett DL, 2003, IOWA LAW REV, V88, P273
   Botterill L.C., 2013, Drought, Risk Management, and Policy: Decision-Making Under Uncertainty
   Burgess EW, 1923, SOC FORCES, V1, P366
   Burrough PA., 2015, Principles of Geographical Information Systems
   Cromley R.G., 1999, J GEOGR SYST, V1, P137, DOI [10.1007/s101090050009, DOI 10.1007/S101090050009]
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Boer J, 2015, STABILITY, V4, DOI 10.5334/sta.fk
   Didan K., NASA EOSDIS LAND PRO, DOI DOI 10.5067/MODIS/MOD13A3.006
   Dodge M., 2011, MAP READER THEORIES
   Douglass M., 2016, Disaster governance in urbanising Asia, P13, DOI DOI 10.1007/978-981-287-649-2_2
   Du LT, 2013, INT J APPL EARTH OBS, V23, P245, DOI 10.1016/j.jag.2012.09.010
   ELLIS WN, 1977, HABITAT, V2, P235, DOI 10.1016/0197-3975(77)90052-2
   Enenkel M, 2015, GLOB FOOD SECUR-AGR, V4, P51, DOI 10.1016/j.gfs.2014.08.005
   FARRAR DE, 1967, REV ECON STAT, V49, P92, DOI 10.2307/1937887
   Foga S, 2017, REMOTE SENS ENVIRON, V194, P379, DOI 10.1016/j.rse.2017.03.026
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Goodchild MF, 2007, INT J GEOGR INF SCI, V21, P239, DOI 10.1080/13658810600965271
   Halfacree KH., 2009, International Encyclopedia of Human Geography
   Harris CD, 1945, ANN AM ACAD POLIT SS, V242, P7, DOI 10.1177/000271624524200103
   Heeckt C., 2016, LSE CITIES EXPLORATO
   Hiete M, 2012, OR SPECTRUM, V34, P971, DOI 10.1007/s00291-011-0269-9
   Hijioka Y, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1327
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hoyt H., 1939, STRUCTURE GROWTH RES
   Iaquinta D. L., 2000, 10 WORLD C INT RUR S
   International Institute for Environment and Development (IIED), 2021, RUR URB LINK
   International Labour Organization (ILO), 2017, LOC DEV ASS DAG MYAN
   IPCC, 2013, CLIM CHANG 2013 PHYS, DOI DOI 10.1017/CBO9781107415324
   Japan International Cooperation Agency (JICA) and Yangon City Development Committee (YCDC), 2014, STRAT URB DEV PLAN G
   Kirmayer LJ, 2009, INT J INDIG HEALTH, V5, P62
   Kraak M. J., 2020, Cartography: Visualization of Geospatial Data, VFourth Edition
   Kraas-Schneider, 2006, TRANSFORMATION PROCE
   Kwan MP, 2012, ANN ASSOC AM GEOGR, V102, P958, DOI 10.1080/00045608.2012.687349
   Mace A., 2009, INT ENCY HUMAN GEOGR
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Malczewski J, 2004, PROG PLANN, V62, P3, DOI 10.1016/j.progress.2003.09.002
   Manandhar R, 2009, REMOTE SENS-BASEL, V1, P330, DOI 10.3390/rs1030330
   Mayunga J.S., 2007, SUMMER ACAD SOCIAL V, V1, P1, DOI DOI 10.1146/ANNUREV.ENERGY.32.051807.090348
   McCrea R, 2014, RURAL SOC, V23, P270, DOI 10.1080/10371656.2014.11082070
   McLeman R, 2010, J HIST GEOGR, V36, P43, DOI 10.1016/j.jhg.2009.04.003
   Mennis J., 2009, INT ENCY HUMAN GEOGR
   Meyer WB, 2015, URBAN GEOGR, V36, P314, DOI 10.1080/02723638.2014.973312
   Miller M A., 2016, Disaster governance in urbanising Asia, P1
   Moffat D, 2006, PLACES-FORUM ENVIRON, V18, P72
   Murayama Y., 2017, Urban Development in Asia and Africa
   Newman G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030269
   Ostadtaghizadeh A., 2015, PLOS CURR-TREE LIFE, DOI 10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed
   Parr JB, 2004, REG STUD, V38, P231, DOI 10.1080/003434042000211114
   Peuquet D., 1984, CARTOGRAPHICA, V21, P66
   Phelps NA, 2009, INT ENCY HUMAN GEOGR
   Prashar Sunil Kumar, 2012, International Journal of Disaster Resilience in the Built Environment, V3, P7, DOI 10.1108/17595901211201105
   Prashar S, 2012, NAT HAZARDS, V64, P1609, DOI 10.1007/s11069-012-0320-4
   Retails A, 2016, ATMOS RES, V169, P449, DOI 10.1016/j.atmosres.2015.01.012
   Scott A., 2007, The urban-rural divide: Myth or reality?
   Seaman DE, 1996, ECOLOGY, V77, P2075, DOI 10.2307/2265701
   Sheehy G., 2016, Global Journal of Health Science, V8, P194, DOI DOI 10.5539/GJHS.V8N11P194
   Swe H., 2016, WORKSHOP IMPLEMENTAT
   Szalai S., 2010, SPATIAL INTERPOLATIO, P179
   Tacoli C, 2003, ENVIRON URBAN, V15, P3, DOI 10.1177/095624780301500111
   Taft L, 2016, HYDROL EARTH SYST SC, V20, P4913, DOI 10.5194/hess-20-4913-2016
   Thi MTT, 2012, NAT HAZARDS, V63, P685, DOI 10.1007/s11069-012-0178-5
   Tropical Rainfall Measuring Mission (TRMM), 2011, TRMM TMPA3 B43 RAINF
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Wan Z., 2015, MOD11A2 MODIS TERRA, DOI DOI 10.5067/MODIS/MOD11A2.006
   Wilhite DA, 2000, ROUTLEDGE HAZARDS DI, P3
   Yoon DK, 2016, J ENVIRON PLANN MAN, V59, P436, DOI 10.1080/09640568.2015.1016142
   Zargar A, 2011, ENVIRON REV, V19, P333, DOI [10.1139/a11-013, 10.1139/A11-013]
   Zou L, 2018, ANN AM ASSOC GEOGR, V108, P1422, DOI 10.1080/24694452.2017.1421897
NR 76
TC 4
Z9 4
U1 6
U2 28
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0129-7619
EI 1467-9493
J9 SINGAPORE J TROP GEO
JI Singap. J. Trop. Geogr.
PD SEP
PY 2021
VL 42
IS 3
BP 451
EP 468
DI 10.1111/sjtg.12383
EA AUG 2021
PG 18
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA UU1XC
UT WOS:000686265700001
DA 2025-04-22
ER

PT J
AU Singh, V
   Pandey, A
AF Singh, Vishal
   Pandey, Anvita
TI Urban water resilience in Hindu Kush Himalaya: issues, challenges and
   way forward
SO WATER POLICY
LA English
DT Article
DE Climate; Hindu Kush Himalaya (HKH); Population; Resilience; Urban; Water
ID GROUNDWATER; QUALITY; SIKKIM
AB The urban population is expected to rise up to 68% by 2050, adding 2.5 billion people to the urban areas of the world. The majority of the rise is expected to be in the low-income countries of Asia and Africa. Several cities/towns in the Hindu Kush Himalaya (HKH) region are expanding at a rapid pace, putting additional pressure on water services and basic amenities for urban dwellers. Selected case studies undertaken by the authors suggest that the demand for water far exceeds municipal supply. Water governance in the HKH region remains a blind spot and challenges pertaining to urban water resilience are poorly understood. The paper is divided into three parts: the first outlines the development of towns and their water infrastructure through selected cases in the HKH, followed by key issues and challenges faced by urban systems and suggested measures to build urban resilience in order to deal with the projected rise in population, governance issues and anticipated changes in climate.
C1 [Singh, Vishal; Pandey, Anvita] Ctr Ecol Dev & Res CEDAR, Dehra Dun, Uttar Pradesh, India.
RP Singh, V (corresponding author), Ctr Ecol Dev & Res CEDAR, Dehra Dun, Uttar Pradesh, India.
EM cedarhimalaya@gmail.com
RI Singh, Vishal/AAW-6019-2021
OI PANDEY, ANVITA/0000-0001-5539-7883
FU International Development Research Centre (IDRC), Canada; HI-AWARE
   ICIMOD, Kathmandu; United Kingdom's Department for International
   Development (DFID); International Development Research Centre (IDRC),
   Ottawa, Canada
FX We are grateful to International Development Research Centre (IDRC),
   Canada and HI-AWARE ICIMOD, Kathmandu for providing research funding and
   facilities. This work was carried out by the Himalayan Adaptation, Water
   and Resilience (HI-AWARE) consortium under the Collaborative Adaptation
   Research Initiative in Africa and Asia (CARIAA) with financial support
   from the United Kingdom's Department for International Development
   (DFID) and the International Development Research Centre (IDRC), Ottawa,
   Canada.
CR [Anonymous], 2006, Ecology
   Balk Deborah., 2009, POPULATION DYNAMICS
   Bhujel G. D., 2019, WATER WOES INVESTMEN
   Cosgrove WJ, 2015, WATER RESOUR RES, V51, P4823, DOI 10.1002/2014WR016869
   Dash RR, 2008, HYDROGEOL J, V16, P1089, DOI 10.1007/s10040-008-0295-0
   Devkota K., 2018, HDB RES URBAN GOVERN
   Dimri AP, 2012, CLIMATIC CHANGE, V111, P775, DOI 10.1007/s10584-011-0201-y
   Djebou DCS, 2016, INT J CLIMATOL, V36, P3588, DOI 10.1002/joc.4578
   Dorji Y, 2016, WATER SECURING BHUTA
   Emerson D.D, 2010, 20095262 US GEOL SUR
   Eriksson M., 2009, The changing Himalayas: impact of climate change on water resources and livelihoods in the greater Himalayas
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Himmelsbach T., 2010, INT C INT WAT RES MA, P24
   Ishtiaque A, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4040072
   Kakar Zainuddin, 2018, IOP Conference Series: Materials Science and Engineering, V414, DOI 10.1088/1757-899X/414/1/012013
   Khan F., 2009, WATER GOVERNANCE COR
   Mahamuni K., 2011, SPRINGS COMMON SOURC
   Mihir Shah Mihir Shah, 2015, Economic and Political Weekly, V50, P57
   MoWR, 2016, 10 MOWR
   Mukherjee A, 2006, J HEALTH POPUL NUTR, V24, P142
   NITI Aayog, 2018, REP WORK GROUP 1 INV
   Pandey K., 2018, Down To Earth
   Pokharel S., 2014, REPUBLICA
   Rodell M, 2009, NATURE, V460, P999, DOI 10.1038/nature08238
   Romero-Lankao P, 2016, CURR OPIN ENV SUST, V21, P45, DOI 10.1016/j.cosust.2016.11.002
   Shah S., 2009, Nature and Science, V7, P74
   Sharma D, 2014, INT J URBAN SUSTAIN, V6, P133, DOI 10.1080/19463138.2014.937720
   Singh S, 2020, WATER POLICY, V22, P9, DOI 10.2166/wp.2019.215
   Singh SP, 2010, CLIM DEV, V2, P221, DOI 10.3763/cdev.2010.0048
   Singh V., 2018, DEV DYNAMICS HIMALAY, V1, P157
   Snyder A., 2014, SHORTAGE MOUNTAINS P
   Srinivasan V, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011087
   Stanikzai J., 2014, TOLO NEWS
   Stewart J., 2017, GROWTH LOW INCOME CO
   Suwal B. R., 2013, INTERNAL MIGRATION N
   Tambe S, 2012, MT RES DEV, V32, P62, DOI 10.1659/MRD-JOURNAL-D-11-00079.1
   Tiwari A, 2012, CURR SCI INDIA, V103, P41
   Tiwari P.C., 2018, Journal of Urban and Regional Studies on Contemporary India, V4, P15, DOI DOI 10.15027/45582
   UNDESA, 2018, REV WORLD URB PROSP, P16
   United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), 2008, STAT YB AS PAC 2007
   Wakode HB, 2018, INT SOIL WATER CONSE, V6, P51, DOI 10.1016/j.iswcr.2017.10.003
   Walker B., 2011, URBAN PEAKS HIMALAYA
   Wankhade K., 2014, Sustaining Policy Momentum: Urban Water Supply and Sanitation
   Zhan MJ, 2018, J METEOROL RES-PRC, V32, P99, DOI 10.1007/s13351-018-7016-y
NR 44
TC 9
Z9 9
U1 4
U2 17
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 FEB
PY 2020
VL 22
SU 1
SI SI
BP 33
EP 45
DI 10.2166/wp.2019.329
PG 13
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA KT0CM
UT WOS:000518678200003
OA hybrid
DA 2025-04-22
ER

PT J
AU Pérez-Ramírez, I
   Requena-Mullor, JM
   Castro, AJ
   García-Llorente, M
AF Perez-Ramirez, Irene
   Requena-Mullor, Juan Miguel
   Castro, Antonio J.
   Garcia-Llorente, Marina
TI Land transformation changes people<acute accent>s values of ecosystem
   services in Las Vegas agrarian landscapes of Madrid Spain
SO LAND USE POLICY
LA English
DT Article
DE Industrial expansion; Land abandonment; Land use change trajectory; Land
   use legacy; Las Vegas agrarian district of Madrid; Resilience; Social
   perceptions; Urban expansion
ID NATURES CONTRIBUTIONS; PERSPECTIVE; FRAMEWORK; TRAJECTORIES; RESILIENCE;
   PLACE
AB Agrarian landscapes play a vital role in securing ecosystem services to people. These environments in central rural Spain are threatened by urban and industrial expansion, as expansion has and continues to cause the exile of young people to cities and rural abandonment. Land transformation in these environments not only alters the diversity of the services the ecosystems provide to people but may also change the values people hold on these landscapes. Incorporating people ' s perceptions regarding trade-offs and synergies associated with land trans-formation is thus key for designing land use policies that mitigate these impacts. The general objective of this research is to explore whether the values that people attribute to land use and ecosystem service changes can inform land-related decision-making. To do so, we first 1) characterized and mapped major land use change trajectories that occurred for the 1990-2018 period, 2) assessed social perceptions regarding the impacts of land use change trajectories on ecosystem services, 3)explored the vulnerability level of ecosystem services, and 4) assessed the social importance of ecosystem services for the wellbeing of locals. From the results, we identified three major land use change trajectories, including agricultural abandonment, aggregate industry and agricul-tural intensification. The results identified that agricultural abandonment is generally perceived to negatively impact food from agriculture, soil fertility, and maintenance of the gene pool through local varieties. We also found that agricultural intensification is recognized as negatively impacting the gene pool through local varieties and soil fertility. Our findings indicate the need to study the impacts of land use changes beyond biophysical changes, and link them to changes in people ' s values. We finally argue that this research will be crucial for identifying socially resilient pathways of European agricultural landscapes.
C1 [Perez-Ramirez, Irene; Garcia-Llorente, Marina] Univ Autonoma Madrid, Dept Ecol, Social Ecol Syst Lab, Madrid, Spain.
   [Requena-Mullor, Juan Miguel; Castro, Antonio J.] Univ Almeria, Andalusian Ctr Assessment & Monitoring Global Chan, Biol & Geol Dept, Almeria, Spain.
   [Garcia-Llorente, Marina] FRACTAL Collect, Madrid, Spain.
   [Perez-Ramirez, Irene] NOVA Univ Lisbon, Global Change & Sustainabil Inst, CENSE Ctr Environm & Sustainabil Res & CHANGE, NOVA Sch Sci & Technol, P-2829516 Caparica, Portugal.
C3 Autonomous University of Madrid; Universidad de Almeria; Universidade
   Nova de Lisboa
RP García-Llorente, M (corresponding author), Univ Autonoma Madrid, Dept Ecol, Social Ecol Syst Lab, Madrid, Spain.
EM marina.gllorente@uam.es
RI Requena-Mullor, Juan/A-2488-2015; Llorente, Marina/P-1644-2017; Castro,
   Antonio J./Z-2469-2019
OI Castro, Antonio J./0000-0003-1587-8564
FU R & D projects for young researchers of the Universidad Auto<acute
   accent>noma de Madrid [SI1/PJI/2019-00444]
FX This work was supported by the 2019 call for grants for R & D projects
   for young researchers of the Universidad Auto<acute accent>noma de
   Madrid with the proyect SAVIA-Sembrando AlternatiVas de Innovacio<acute
   accent>n Agroecolo<acute accent>gica [SI1/PJI/2019-00444] .
CR [Anonymous], 2021, The EU's 2021-2027 long-term budget and next generation EU: facts and figures, DOI DOI 10.2761/808559
   Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Balázsi A, 2019, LAND USE POLICY, V89, DOI 10.1016/j.landusepol.2019.104232
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Bieling C, 2020, ECOSYST PEOPLE, V16, P188, DOI 10.1080/26395916.2020.1786165
   Bots PWG, 2008, SYST PRACT ACT RES, V21, P389, DOI 10.1007/s11213-008-9108-6
   Bridgewater P, 2019, PEOPLE NAT, V1, P291, DOI 10.1002/pan3.10040
   Carmen E., 2018, Serv. Ecosyst. Serv., V29, DOI [10.1016/j.ecoser.2017.10.012, DOI 10.1016/J.ECOSER.2017.10.012]
   Ribeiro SMC, 2016, LAND USE POLICY, V53, P1, DOI 10.1016/j.landusepol.2015.12.022
   Castro AJ, 2011, J ARID ENVIRON, V75, P1201, DOI 10.1016/j.jaridenv.2011.05.013
   Castro AJ, 2013, EARTH OBSERVATION EC
   Castro AJ, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000671
   CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
   Derr V, 2020, ENVIRON EDUC RES, V26, P359, DOI 10.1080/13504622.2019.1693511
   Sala JE, 2019, ECOSYST PEOPLE, V15, P232, DOI 10.1080/26395916.2019.1657502
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   García-Llorente M, 2020, LAND-BASEL, V9, DOI 10.3390/land9090330
   García-Llorente M, 2012, ENVIRON SCI POLICY, V19-20, P136, DOI 10.1016/j.envsci.2012.01.006
   Huang QX, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101106
   Jax K, 2018, CURR OPIN ENV SUST, V35, P22, DOI 10.1016/j.cosust.2018.10.009
   Kelemen E., 2016, EC FP7 Grant Agreement no. 308428
   Khoury CK, 2014, P NATL ACAD SCI USA, V111, P4001, DOI 10.1073/pnas.1313490111
   KRUSKAL JB, 1964, PSYCHOMETRIKA, V29, P1, DOI 10.1007/BF02289565
   Kucsicsa G, 2019, LANDSC ECOL ENG, V15, P75, DOI 10.1007/s11355-018-0362-1
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Lavorel S, 2017, REG ENVIRON CHANGE, V17, P2251, DOI 10.1007/s10113-017-1207-4
   MAES Joachim., 2011, Towards an atlas of ecosystem services
   Martín-López B, 2019, J ENVIRON MANAGE, V241, P251, DOI 10.1016/j.jenvman.2019.04.029
   Martín-López B, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038970
   Molina M.G., 2020, The Social Metabolism of Spanish Agriculture, 1900-2008, DOI [10.1007/978-3-030-20900-1, DOI 10.1007/978-3-030-20900-1]
   Moreno L.U, 1992, Geografia agraria de la Comarca "Las Vegas
   Nyström M, 2019, NATURE, V575, P98, DOI 10.1038/s41586-019-1712-3
   Oksanen J., 2022, vegan community ecology package version 2.6-2
   Palomo-Campesino S, 2021, AGROECOL SUST FOOD, V45, P1399, DOI 10.1080/21683565.2021.1933671
   Pandit R, 2020, ECOSYST PEOPLE, V16, P1, DOI 10.1080/26395916.2019.1697756
   Pascual U, 2017, CURR OPIN ENV SUST, V26-27, P7, DOI 10.1016/j.cosust.2016.12.006
   Pérez-Ramírez I, 2019, LANDSCAPE ECOL, V34, P1675, DOI 10.1007/s10980-019-00816-9
   Pérez-Ramírez I, 2021, ECOSYST PEOPLE, V17, P222, DOI 10.1080/26395916.2021.1912185
   Quintas-Soriano C, 2022, LAND USE POLICY, V116, DOI 10.1016/j.landusepol.2022.106053
   Quintas-Soriano C, 2018, ECOL SOC, V23, DOI [10.5751/ES-10226-230303, 10.5751/es-10226-230303]
   Quintas-Soriano C, 2016, LAND USE POLICY, V54, P534, DOI 10.1016/j.landusepol.2016.03.011
   Ramankutty N, 2018, ANNU REV PLANT BIOL, V69, P789, DOI 10.1146/annurev-arplant-042817-040256
   Requena-Mullor JM, 2014, LANDSCAPE ECOL, V29, P843, DOI 10.1007/s10980-014-0020-4
   Requena-Mullor JM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae5e3
   Riechers M, 2022, SUSTAIN SCI, V17, P865, DOI 10.1007/s11625-021-00928-9
   Sachet E, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.709401
   Sherren K, 2013, WETLANDS, V33, P65, DOI 10.1007/s13157-012-0352-2
   Sondermann MN, 2022, SCI TOTAL ENVIRON, V836, DOI 10.1016/j.scitotenv.2022.155754
   Taibo C, 2021, Iberia Vaciada. Despoblacion, decrecimiento, colapso, P128
   Tittonell P, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.584605
   Turkelboom F, 2018, ECOSYST SERV, V29, P566, DOI 10.1016/j.ecoser.2017.10.011
   Verburg PH, 2010, LANDSCAPE ECOL, V25, P217, DOI 10.1007/s10980-009-9347-7
   Wester-Herber M, 2004, ENVIRON SCI POLICY, V7, P109, DOI 10.1016/j.envsci.2003.12.001
   WWF, 2015, Modernizacion de regadios. Un mal negocio para la naturaleza y la sociedad
   Ochoa CY, 2020, LAND-BASEL, V9, DOI 10.3390/land9110414
NR 55
TC 7
Z9 7
U1 6
U2 27
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 NOV
PY 2023
VL 134
AR 106921
DI 10.1016/j.landusepol.2023.106921
EA SEP 2023
PG 12
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA X1BI1
UT WOS:001095866100001
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Kuusaana, JAE
   Monstadt, J
   Smith, S
AF Kuusaana, Joyce A. Eledi A.
   Monstadt, Jochen
   Smith, Shaun
TI Toward Urban Resilience? Coping with Blackouts in Dar es Salaam,
   Tanzania
SO JOURNAL OF URBAN TECHNOLOGY
LA English
DT Article
DE urban resilience; infrastructure resilience; heterogeneous
   infrastructures; electricity blackouts; Tanzania
ID CLIMATE-CHANGE; WATER INFRASTRUCTURE; VULNERABILITY; ELECTRICITY;
   GOVERNANCE; FRAMEWORK; POVERTY; AFRICA; LAND
AB The seamless and ubiquitous supply of infrastructure services such as electricity is usually seen as a critical backbone of modern urban societies. Yet electricity supply in Dar es Salaam, Tanzania, like many other infrastructure services in cities in the Global South, is unreliable and unpredictable, with urban power cuts being everyday occurrences. Major challenges in electricity supply have resulted in severe crises leading to spatially uneven rationing of electricity. Amid such insecurities, however, the criticality of such infrastructure services and the shortfall of reliable networked services are met with innovation, creative maneuvering, and the building of adaptive systems that allow cities to continue to function. Based on debates on urban and infrastructure resilience and heterogeneous infrastructures, this article examines the coping mechanisms of urban residents in response to electricity blackouts in Dar es Salaam. It identifies the different energy constellations that function either complementarily or alternatively to networked services. Pointing to the adaptive capacities of urban dwellers that enable them to be prepared for power cuts but also highlighting their unequal access to infrastructure services, it argues for a more critical reassessment of debates on urban and infrastructural vulnerability and resilience from a Southern perspective.
C1 [Kuusaana, Joyce A. Eledi A.] Tech Univ Darmstadt, Res Training Grp Crit Infrastruct RTG KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
   [Kuusaana, Joyce A. Eledi A.; Monstadt, Jochen; Smith, Shaun] Univ Utrecht, Dept Human Geog & Spatial Planning, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
C3 Technical University of Darmstadt; Utrecht University
RP Kuusaana, JAE (corresponding author), Tech Univ Darmstadt, Res Training Grp Crit Infrastruct RTG KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.; Kuusaana, JAE (corresponding author), Univ Utrecht, Dept Human Geog & Spatial Planning, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
EM eledi@kritis.tu-darmstadt.de
RI Monstadt, Jochen/AAE-5440-2022
OI Eledi Kuusaana, Joyce Angnayeli/0000-0002-9977-8036; Monstadt,
   Jochen/0000-0001-9146-1571; Smith, Shaun/0000-0002-6893-5908
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Alexander M, 2016, ENVIRON SCI POLICY, V64, P38, DOI 10.1016/j.envsci.2016.06.004
   Allen Adriana., 2017, Environmental Justice and Urban Resilience in the Global South New York, DOI 10.1057/978-1-137-47354-76
   [Anonymous], 2015, National Energy Policy
   [Anonymous], 2018, The Worlds Cities in 2018-Data Booklet (ST/ESA/ SER.A/417)
   [Anonymous], 2020, Manhattan Population 2020
   Armstrong A., 1986, UNDEFINED
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bijker W, 2014, INSIDE TECHNOL, P1
   Birkmann J., 2016, J EXTREME EVENTS, V3, P1650017, DOI DOI 10.1142/S2345737616500172
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Christmann GB, 2012, RAUMFORSCH RAUMORDN, V70, P259, DOI 10.1007/s13147-012-0171-1
   Coutard Olivier., 2015, Beyond the Networked City: Infrastructure Reconfigurations and Urban Change in the North and South
   Dakyaga F, 2021, URBAN FORUM, V32, P111, DOI 10.1007/s12132-020-09412-6
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Degani M, 2017, AM ETHNOL, V44, P300, DOI 10.1111/amet.12480
   Eberhard A, 2012, ENERG POLICY, V42, P9, DOI 10.1016/j.enpol.2011.10.033
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folkers A., 2012, ORTSREGISTER GLOSSAR, P154, DOI DOI 10.14361/TRANSCRIPT.9783839419687.154
   FreedomLab, 2020, RESILIENCE PARADOX F
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Golubchikov O., 2021, POLICY PLANNING, P69
   Graham S., 2001, SPLINTERING URBANISM, DOI [DOI 10.4324/9780203452202, 10.4324/9780203452202]
   Graham Stephen., 2010, DISRUPTED CITIES INF, P1
   Gratwick KatherineN., 2006, J ENERGY SOUTH AFR, V17, P39
   Growth A., 2018, C PAPER AFRICA EU RE, P127
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   Hegger DLT, 2016, ECOL SOC, V21, DOI 10.5751/ES-08854-210452
   Herslund LB, 2016, NAT HAZARDS, V82, pS149, DOI 10.1007/s11069-015-1856-x
   Huck A., 2020, ENHANCING URBAN INFR, DOI 10.17418/PHD.2020.9789491937453
   IIED, 2018, Improving Tanzania's power quality: Can data help?
   Jaglin S., 2017, The Routledge Research Companion to Energy Geographies, P106
   Jaglin S., 2014, REGULATING SERVICE D, DOI 10.4324/9780203387832.ch37
   JICA [Japan International Cooperation Agency], 2017, FINAL REPORT PROJECT
   Kasala S. E., 2016, CURRENT URBAN STUDIE, V4, P23, DOI [10.4236/cus.2016.41003, DOI 10.4236/CUS.2016.41003]
   Kebede G., 2019, TRANSFORMATIONAL INF, DOI 10.18820/9781928480419/05
   Kironde JML, 2006, LAND USE POLICY, V23, P460, DOI 10.1016/j.landusepol.2005.07.004
   Kironde J M Lusugga, 2015, Current Urban Studies, P348, DOI [https://doi.org/10.4236/cus.2015.34028, DOI 10.4236/CUS.2015.34028]
   KIRONDE JML, 1995, ENVIRON URBAN, V7, P77, DOI 10.1177/095624789500700111
   Koepke M, 2021, ENERGY RES SOC SCI, V74, DOI 10.1016/j.erss.2021.101937
   Kombe W., 2015, WATER JUSTICE CITY P
   Kombe W.J., 2021, INCLUSIVE URBAN DEV
   Kombe WJ, 2005, HABITAT INT, V29, P113, DOI 10.1016/S0197-3975(03)00076-6
   Kyessi AG, 2005, HABITAT INT, V29, P1, DOI 10.1016/S0197-3975(03)00059-6
   Lawhon M, 2018, URBAN STUD, V55, P720, DOI 10.1177/0042098017720149
   Luo C, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd42e
   MCLEES L, 2012, PROF GEOGR, V65
   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
   Mercer C, 2020, INT J URBAN REGIONAL, V44, P521, DOI 10.1111/1468-2427.12733
   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]
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   Monstadt J, 2017, INT J URBAN REGIONAL, V41, P104, DOI 10.1111/1468-2427.12436
   Muhongo S. M., 2019, ELECTRICITY SUPPLY I
   Munro P, 2020, URBAN GEOGR, V41, P428, DOI 10.1080/02723638.2019.1698867
   NBS (National Bureau of Statistics), 2017, TANZANIA MAINLAND
   NBS (National Bureau of Statistics), 2019, TANZANIA MAINLAND
   Nhamo G, 2019, SCI TOTAL ENVIRON, V669, P129, DOI 10.1016/j.scitotenv.2019.03.109
   Ogunbode CA, 2019, CLIM POLICY, V19, P703, DOI 10.1080/14693062.2018.1560242
   Pelling Mark., 2009, DISASTER RISK REDUCT
   Peng D, 2017, UTIL POLICY, V48, P51, DOI 10.1016/j.jup.2017.09.002
   Reghezza-Zitt M, 2012, CYBERGEO, DOI 10.4000/cybergeo.25554
   RVO Netherlands Enterprise Agency, 2018, Final energy report Tanzania
   S. A. Gibb and Partners, 1949, PLAN DAR SALAAM REPO
   Silver J, 2015, INT J URBAN REGIONAL, V39, P984, DOI 10.1111/1468-2427.12317
   Silver J, 2013, LOCAL ENVIRON, V18, P663, DOI 10.1080/13549839.2013.807787
   Silver J, 2014, URBAN GEOGR, V35, P788, DOI 10.1080/02723638.2014.933605
   The Citizen, 2020, NYERERE HYDROPOWER D
   Todd G, 2019, ENVIRON URBAN ASIA, V10, P193, DOI 10.1177/0975425319859175
   URT, 2020, ENERGY ACCESS USE SI
   Wamuchiru E, 2017, ENVIRON URBAN, V29, P551, DOI 10.1177/0956247817700290
   World Bank, 2016, INCREASING ELECTRICI
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 73
TC 8
Z9 8
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 1063-0732
EI 1466-1853
J9 J URBAN TECHNOL
JI J. Urban Technol.
PD MAR 15
PY 2023
VL 30
IS 2
SI SI
BP 79
EP 101
DI 10.1080/10630732.2022.2153318
EA JAN 2023
PG 23
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA C1DN3
UT WOS:000914277700001
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Liu, ZY
AF Liu, Zhiyu
TI Does the low-carbon pilot policy improve urban economic resilience?
   Evidence from China
SO PLOS ONE
LA English
DT Article
ID SAMPLE SELECTION; EXTREME WEATHER; CITY; EMISSIONS; DETERMINANTS;
   SHRINKAGE; CITIES
AB Identifying the relationship between carbon neutrality initiatives and its economic impact is crucial in evaluating the cost of low-carbon transition for policy makers. In this paper, a theoretical model is built to discuss the effects of the low-carbon pilot policy in China on urban economic resilience and an empirical test is conducted to examine the relationship using the Heckman two stage model and a panel data of 277 cities from 2004 to 2020. The results show that low-carbon pilot policy significantly enhanced urban economic resilience and the stimulating effect is mainly achieved by motivating technology innovations. In addition, further analysis indicates that low-carbon pilot policy has a more pronounced effect on improving urban economic resilience of cities in the central and western regions than eastern regions. The effect is also more prominent in non-first-tier cities than first-tier cities. The results are robust to placebo test, the Propensity Score Matching Difference-in-Difference test and the test for alternative measure of urban economic resilience. The findings show that the low-carbon pilot policy is consistent with the goal of improving urban economic resilience and technology innovation is the essential pillar of sustainable development.
C1 [Liu, Zhiyu] Southwestern Univ Finance & Econ, Sch Finance, Chengdu, Sichuan, Peoples R China.
C3 Southwestern University of Finance & Economics - China
RP Liu, ZY (corresponding author), Southwestern Univ Finance & Econ, Sch Finance, Chengdu, Sichuan, Peoples R China.
EM liuzhiyu@smail.swufe.edu.cn
RI Liu, Zhiyu/GZG-6749-2022
OI Liu, Zhiyu/0000-0002-4925-340X
CR Angélil O, 2014, GEOPHYS RES LETT, V41, P2150, DOI 10.1002/2014GL059234
   Chen H, 2021, RESOUR CONSERV RECY, V169, DOI 10.1016/j.resconrec.2021.105457
   Cheng JH, 2019, J CLEAN PROD, V231, P1158, DOI 10.1016/j.jclepro.2019.05.327
   Colantone I, 2018, AM POLIT SCI REV, V112, P201, DOI 10.1017/S0003055417000685
   D'Amato G, 2014, EUR RESPIR REV, V23, P161, DOI 10.1183/09059180.00001714
   Du ZW, 2019, J GEOGR SCI, V29, P1331, DOI 10.1007/s11442-019-1662-6
   Faff R, 2013, APPL ECON, V45, P611, DOI 10.1080/00036846.2011.608644
   Feng T, 2021, RES INT BUS FINANC, V58, DOI 10.1016/j.ribaf.2021.101450
   Fu Y, 2021, ECOL INDIC, V122, DOI 10.1016/j.ecolind.2020.107238
   HECKMAN JJ, 1979, ECONOMETRICA, V47, P153, DOI 10.2307/1912352
   Hill E., 2008, EXPLORING REGIONAL E
   Jiang J, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610407
   Khanna N, 2014, SUSTAIN CITIES SOC, V12, P110, DOI 10.1016/j.scs.2014.03.005
   Khurshid A, 2021, ENVIRON SCI POLLUT R, V28, P2948, DOI 10.1007/s11356-020-09734-9
   Kung JKS, 2021, J COMP ECON, V49, P22, DOI 10.1016/j.jce.2020.06.001
   Li L., 2022, P 2022 7 INT C SOC S, P1745
   Liu CJ, 2020, MITIG ADAPT STRAT GL, V25, P1199, DOI 10.1007/s11027-019-09897-y
   Liu XY, 2019, APPL ENERG, V236, P1019, DOI 10.1016/j.apenergy.2018.12.060
   Liu Z, 2022, NAT REV EARTH ENV, V3, P141, DOI 10.1038/s43017-021-00244-x
   Ma XJ, 2019, SCI TOTAL ENVIRON, V648, P1411, DOI 10.1016/j.scitotenv.2018.08.183
   Madden D, 2008, J HEALTH ECON, V27, P300, DOI 10.1016/j.jhealeco.2007.07.001
   Mai X, 2021, HABITAT INT, V109, DOI 10.1016/j.habitatint.2021.102326
   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
   MONTINOLA G, 1995, WORLD POLIT, V48, P50, DOI 10.1353/wp.1995.0003
   Mora C, 2018, NAT CLIM CHANGE, V8, P1062, DOI 10.1038/s41558-018-0315-6
   Qiu SL, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102699
   Rahman MM, 2020, J ENVIRON MANAGE, V253, DOI 10.1016/j.jenvman.2019.109742
   Saich Anthony, 2015, NATL PEOPLES C FUNCT
   Sedita SR, 2017, EUR PLAN STUD, V25, P155, DOI 10.1080/09654313.2016.1261804
   Shutters ST, 2015, PALGR COMMUN, V1, DOI 10.1057/palcomms.2015.10
   Song ML, 2020, RESOUR CONSERV RECY, V157, DOI 10.1016/j.resconrec.2020.104777
   Song QJ, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100936
   Stognief N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11215991
   Tan JT, 2017, CHINESE GEOGR SCI, V27, P471, DOI 10.1007/s11769-017-0878-6
   Trembaczowski L., 2012, LEARNING REGIONS DRI
   Voigt C, 2017, GLOBAL CHANGE BIOL, V23, P3121, DOI 10.1111/gcb.13563
   Wang J, 2020, NATURE, V586, P720, DOI 10.1038/s41586-020-2849-9
   Wang Q, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101758
   Wang YA, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102553
   Wang YF, 2015, CLIM POLICY, V15, pS81, DOI 10.1080/14693062.2015.1050347
   Wiechmann T, 2012, INT J URBAN REGIONAL, V36, P261, DOI 10.1111/j.1468-2427.2011.01095.x
   Wink R., 2012, J EC MANAGEMENT, V10, P60
   Xin L, 2023, ENVIRON SCI POLLUT R, V30, P5197, DOI 10.1007/s11356-022-22539-2
   Yang L, 2013, SUSTAIN CITIES SOC, V9, P62, DOI 10.1016/j.scs.2013.03.001
   Yang ZM, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100812
   Yiwei C., 2020, ADV SOCIAL SCI ED HU, V466, P346
   Yu HC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124754
   Yu J, 2021, ENERG ECON, V94, DOI 10.1016/j.eneco.2020.105071
   Yu YT, 2021, ENERG ECON, V96, DOI 10.1016/j.eneco.2021.105125
   Zhao X, 2022, RESOUR CONSERV RECY, V176, DOI 10.1016/j.resconrec.2021.105959
   Zhong W, 2011, OMEGA-INT J MANAGE S, V39, P447, DOI 10.1016/j.omega.2010.09.004
   Zhou Q, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104084
   Zhu C, 2022, TECHNOL FORECAST SOC, V183, DOI 10.1016/j.techfore.2022.121955
NR 54
TC 3
Z9 3
U1 22
U2 124
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 APR 21
PY 2023
VL 18
IS 4
AR e0284740
DI 10.1371/journal.pone.0284740
PG 23
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA G7EP1
UT WOS:000990750100044
PM 37083837
OA gold
DA 2025-04-22
ER

PT J
AU Sharifi, A
AF Sharifi, Ayyoob
TI Urban Resilience Assessment: Mapping Knowledge Structure and Trends
SO SUSTAINABILITY
LA English
DT Review
DE urban resilience assessment; science mapping; bibliometrics analysis;
   flooding; earthquake; critical infrastructure
ID CLIMATE-CHANGE; COMMUNITY RESILIENCE; EMERGING TRENDS; FRAMEWORK;
   VULNERABILITY; EARTHQUAKE; RECOVERY; SYSTEM; TOOLS
AB The literature on urban resilience assessment has grown rapidly over the past two decades. This paper aims to provide a better understanding of the state of knowledge on urban resilience assessment through mapping the knowledge domain and highlighting emerging trends during different periods. The objects of study were 420 papers published in the Web of Science from 1998 to 2020. Science mapping was done using VOSviewer and CiteSpace, two widely known software tools for bibliometrics analysis and scientometric visualization. The results show that research published on urban resilience assessment was very limited and fragmented until 2009, and the focus has mainly been on risk mitigation and vulnerability assessment. The intellectual base grew between 2010 and 2014, when a paradigm shift from approaches based on robustness and reliability toward more adaptation-oriented approaches occurred. Finally, the annual publication trends have grown rapidly over the past five years and there has been more emphasis on climate change adaptation and flood resilience. Overall, in terms of dimensional focus, more attention has been paid to infrastructural, institutional, and environmental aspects at the expense of social and economic dimensions. In addition to information on thematic focus and evolution, this paper also provides other bibliometrics information on the influential authors, institutions, journals, and publications that lay the foundation of the field and can be used by various interested groups as points of reference to gain better knowledge about the structure and thematic evolution of urban resilience assessment. The paper concludes by highlighting gaps and making some recommendations for future improvement of the field. Major gaps are related to assessing resilience against socio-economic and health risks (e.g., economic recession and pandemics such as COVID-19).
C1 [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 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 sharifi@hiroshima-u.ac.jp
RI Sharifi, Ayyoob/M-7584-2013
OI Sharifi, Ayyoob/0000-0002-8983-8613
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
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ainuddin S, 2012, INT J DISAST RISK RE, V2, P25, DOI 10.1016/j.ijdrr.2012.07.003
   Alizadeh H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093691
   Amarasinghe P, 2017, WATER RESOUR MANAG, V31, P2885, DOI 10.1007/s11269-017-1646-1
   [Anonymous], 2015, The Paris Agreement
   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
   Bulti DT, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-1731-6
   Capozzo M, 2019, J EARTHQ TSUNAMI, V13, DOI 10.1142/S1793431119500088
   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
   Chen CM, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223994
   Chen CM, 2014, EXPERT OPIN BIOL TH, V14, P1295, DOI 10.1517/14712598.2014.920813
   Chen CM, 2006, J AM SOC INF SCI TEC, V57, P359, DOI 10.1002/asi.20317
   Chen CM, 2004, P NATL ACAD SCI USA, V101, P5303, DOI 10.1073/pnas.0307513100
   Chiesa G, 2018, TECHNE, V15, P237, DOI 10.13128/Techne-22086
   Chun H, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122222
   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, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Doherty M, 2016, ENVIRON SCI POLICY, V66, P310, DOI 10.1016/j.envsci.2016.09.001
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Feldmeyer D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102931
   Feng KR, 2017, STRUCT SAF, V66, P118, DOI 10.1016/j.strusafe.2017.02.006
   Feofilovs M, 2020, INT J DISASTER RESIL, V11, P615, DOI 10.1108/IJDRBE-02-2020-0013
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   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
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jordan E, 2013, NAT HAZARDS REV, V14, P21, DOI 10.1061/(ASCE)NH.1527-6996.0000087
   Joyce J, 2017, ENVIRON MODELL SOFTW, V90, P1, DOI 10.1016/j.envsoft.2016.11.026
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Liu H, 2020, SAFETY SCI, V121, P348, DOI 10.1016/j.ssci.2019.09.020
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mensah AF, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001423
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   National Research Council, 2012, NAT IMP
   Ouyang M, 2012, CHAOS, V22, DOI 10.1063/1.4737204
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Owrangi AM, 2015, NAT HAZARDS, V77, P67, DOI 10.1007/s11069-014-1582-9
   Parry M.L, 2007, CLIMATE CHANGE 2007, P745
   Polonenko LM, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.135159
   Sharifi A., 2017, APN Science Bulletin, V7, DOI [DOI 10.30852/SB.2017.182, 10.30852/sb.2017.182]
   Sharifi A, 2016, URBAN RESILIENCE
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sharifi A, 2016, INT J DISAST RISK RE, V18, P115, DOI 10.1016/j.ijdrr.2016.06.006
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Shuang Q, 2019, WATER-SUI, V11, DOI 10.3390/w11061189
   UN Habitat, 2017, NEW URB AG
   United Nations Office for Disaster Risk Reduction, 2015, UN WORLD C DIS RISK
   Van Eck N, 2020, VOSVIEWER MANUAL VOS
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Voghera A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102726
   Waghwala RK, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101155
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
   Zhong M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041521
   Zhu YQ, 2018, NAT HAZARDS, V91, P1025, DOI 10.1007/s11069-017-3163-1
NR 69
TC 79
Z9 84
U1 30
U2 284
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2020
VL 12
IS 15
AR 5918
DI 10.3390/su12155918
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 NA0TR
UT WOS:000559533000001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU da Cunha, LFB
   Machado, RMES
   Monteiro, GB
   Almeida, PR
   Teixeira, RC
   Barata, MS
   Zemero, BR
AF da Cunha, Luis Filipe Brasil
   Machado, Rayner Mauricio e Silva
   Monteiro, Giovanna Bentes
   Almeida, Paula Rocha
   Teixeira, Reyso Cunha
   Barata, Marcio Santos
   Zemero, Bruno Ramos
TI Potential of optimized designs to resist the hot humid-future-urban
   climates and its uncertainties: A case study
SO APPLIED THERMAL ENGINEERING
LA English
DT Article
DE Extreme weather; Urban heat islands; Global warming uncertainties;
   Social housing
ID ZONES
AB Accurate assessment of the combined impacts of climate change and Urban Heat Island (UHI) on the energy performance of building prototypes is imperative to support decision-making towards long-term resilient design solutions for heat mitigation. Recent literature highlighted the importance of integrating multiscale climate models into Building Energy Simulations (BES) workflows to accurately evaluate UHI and future scenarios, especially for climates susceptible to indoor overheating. However, discussion relative to the uncertainties when using projections on BES is still limited on account of the scarcity of readily available weather files for some cities and the impracticalities that arise from conducting several simulations. This study aims to address these issues by investigating the resilience of a social housing prototype with optimized envelope and heat mitigation strategies for the hot and humid Bele<acute accent>m, Brazil under distinct UHI conditions considering future uncertainties. Thermal autonomy and cooling loads were evaluated for 2020, 2050 and 2080. Future weather uncertainties were assessed through comparison of dry-bulb temperatures between the projections generated by Climate Change World Weather Generator (CCWWG) and CORDEX project. Results showed a significant decrease in thermal autonomy despite optimization as the housing lower-floor units registered only 15 % of occupancy hours below the 30 degrees C threshold in 2050 considering UHI and 2.8 % in 2080 before UHI inclusion, in contrast to the 100 % observed for the unmodified weather file. Accordingly, high percentage increases in cooling loads between simulations emphasize the importance of comparing results of multiple weather files for thorough investigations of BES.
C1 [da Cunha, Luis Filipe Brasil; Monteiro, Giovanna Bentes; Almeida, Paula Rocha] Univ Para, Fac Architecture & Urbanism Fed, Belem, Brazil.
   [Machado, Rayner Mauricio e Silva] Univ Fed Santa Catarina, Postgrad Program Civil Engn, Florianopolis, Brazil.
   [Teixeira, Reyso Cunha] Univ Para, Fac Comp Engn Fed, Belem, Brazil.
   [Barata, Marcio Santos; Zemero, Bruno Ramos] Univ Para, Postgrad Program Architecture & Urbanism Fed, Belem, Brazil.
C3 Universidade Federal de Santa Catarina (UFSC)
RP Zemero, BR (corresponding author), Univ Para, Postgrad Program Architecture & Urbanism Fed, Belem, Brazil.
EM luis.brasil.cunha@itec.ufpa.br; rayner.mauricio@posgrad.ufsc.br;
   giovanna.monteiro@itec.ufpa.br; paula.almeida@itec.ufpa.br;
   reyso.teixeira@itec.ufpa.br; marciobarata@ufpa.br; brunorz@ufpa.br
RI BARATA, MARCIO/HKE-4232-2023
OI Brasil da Cunha, Luis Filipe/0009-0004-6441-7195
CR ABNT (Associacao Brasileira de Normas Tecnicas), 2013, NBR 15575
   [Anonymous], 2008, REDUCING URBAN HEAT
   [Anonymous], Instituto Nacional de Meteorologia - INMET. (05 de Maio de 2021). Instituto Nacional de Meteorologia. Acesso em 05 de Fevereiro de 2021, disponivel em https://portal.inmet.gov.br/dadoshistoricos
   Associacao Brasileira De Normas Tecnicas, 2023, NBR 15220-3: Desempenho termico de edificacoes. Parte 3: Zoneamento bioclimatico brasileiro e diretrizes construtivas para habitacoes unifamiliares de interesse social
   Attia S, 2023, ENERG BUILDINGS, V292, DOI 10.1016/j.enbuild.2023.113170
   Attia S, 2021, ENERG BUILDINGS, V239, DOI 10.1016/j.enbuild.2021.110869
   Bracht Matheus Korbes, 2023, Zenodo, DOI 10.5281/ZENODO.10015137
   Braga J.I., 2021, Metodologia de aplicacao para avaliacao do desempenho termico segundo a NBR 15575:2021 pelo metodo de simulacao computacional. Monografia (graduacao)
   Brasil, 2023, Portaria MCID n 725
   Bueno B, 2013, J BUILD PERFORM SIMU, V6, P269, DOI 10.1080/19401493.2012.718797
   Chang HJ, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102786
   Chapman S, 2017, LANDSCAPE ECOL, V32, P1921, DOI 10.1007/s10980-017-0561-4
   de Oliveira JV, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100579
   Souto JID, 2021, URBE-CURITIBA, V13, DOI 10.1590/2175-3369.013.e20200260
   de Sousa D. L. P., 2022, The Journal of Engineering and Exact Sciences, V8, DOI [10.18540/jcecvl8iss3pp14208-01e,14208-01e, DOI 10.18540/JCECVL8ISS3PP14208-01E,14208-01E]
   Gonzalez-Trevizo ME, 2021, ENERG BUILDINGS, V246, DOI 10.1016/j.enbuild.2021.111051
   Hong TZ, 2023, BUILD ENVIRON, V244, DOI 10.1016/j.buildenv.2023.110806
   Instituto Brasileiro de Geografia e Estatistica IBGE, 2022, Escola Superior de Guerra and Colegio Pedro II
   Instituto Nacional de Pesquisas Espaciais (INPE), 2024, About us
   Jentsch Mark F., 2022, CCWorldWeatherGen: climate change world weather file generator. Climate change world weather file generator
   Kamal A, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101704
   Kim H, 2018, SUSTAIN CITIES SOC, V41, P841, DOI 10.1016/j.scs.2018.06.021
   KOMMENDA NIKO, The Washington Post
   Krebs LF, 2021, ENERG BUILDINGS, V241, DOI 10.1016/j.enbuild.2021.110963
   Krelling AF, 2024, SUSTAIN CITIES SOC, V107, DOI 10.1016/j.scs.2024.105460
   Krelling AF, 2023, BUILD ENVIRON, V245, DOI 10.1016/j.buildenv.2023.110887
   LABEEE, 2018, Arquivos Climaticos INMET
   Lawrie Linda K, Arquivos climaticos-Para (PA)
   Levinson R., 2023, Policy recommendations from IEA EBC Annex 80: Resilient cooling of buildings, DOI [10.20357/B7288C, DOI 10.20357/B7288C]
   Litardo J, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102387
   Machado Rayner Mauricio, 2016, estrategias de projeto para o condicionamento climatico de edificacoes localizadas em zonas urbanas: modelagem microclimatica atraves do metodouwg
   Machado RMES, 2024, ENERG BUILDINGS, V311, DOI 10.1016/j.enbuild.2024.114157
   Martinez S, 2021, ENERG BUILDINGS, V253, DOI 10.1016/j.enbuild.2021.111522
   Mauree D, 2019, RENEW SUST ENERG REV, V112, P733, DOI 10.1016/j.rser.2019.06.005
   Pereira Fabiana da Silva, 2016, Rev. Ambient. Água, V11, P731
   Goncalves ELS, 2024, APPL THERM ENG, V236, DOI 10.1016/j.applthermaleng.2023.121379
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Triana MA, 2023, ENERG BUILDINGS, V295, DOI 10.1016/j.enbuild.2023.113254
   Zhang C, 2021, ENERG BUILDINGS, V251, DOI 10.1016/j.enbuild.2021.111312
   Zhao QS, 2023, HEALTH PLACE, V79, DOI 10.1016/j.healthplace.2021.102691
   Zhao QS, 2020, APPL GEOGR, V122, DOI 10.1016/j.apgeog.2020.102241
   Zhao ZY, 2023, SUSTAIN ENERGY TECHN, V56, DOI 10.1016/j.seta.2023.103018
   Zou JW, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101551
NR 43
TC 0
Z9 0
U1 4
U2 4
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1359-4311
EI 1873-5606
J9 APPL THERM ENG
JI Appl. Therm. Eng.
PD MAR 1
PY 2025
VL 262
AR 125137
DI 10.1016/j.applthermaleng.2024.125137
EA DEC 2024
PG 20
WC Thermodynamics; Energy & Fuels; Engineering, Mechanical; Mechanics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels; Engineering; Mechanics
GA R6B8O
UT WOS:001392288300001
DA 2025-04-22
ER

PT J
AU Tyler, S
   Moench, M
AF Tyler, Stephen
   Moench, Marcus
TI A framework for urban climate resilience
SO CLIMATE AND DEVELOPMENT
LA English
DT Review
DE resilience; adaptation; urban systems; adaptive capacity; institutions;
   planning; vulnerability
ID SOCIAL-ECOLOGICAL SYSTEMS; ENVIRONMENTAL-CHANGE; ADAPTIVE CAPACITY;
   ADAPTATION; VULNERABILITY; GOVERNANCE; MANAGEMENT; METAPHOR; ENHANCE
AB Climate change will have unavoidable impacts on urban systems and populations, especially in Asia where many large cities are exposed. Climate adaptation will be essential, and planning for adaptation can be simplified through operationalizing concepts of climate resilience and vulnerability. This article reviews concepts and theories in a range of diverse fields to illustrate how the general notion of urban climate resilience can be developed into an operational framework for planning practitioners. The framework integrates theoretical and empirical knowledge of the factors contributing to resilience with processes for translating those concepts into practice. The framework includes characteristics of urban systems, the agents (people and organizations) that depend on and manage those systems, institutions that link systems and agents, and patterns of exposure to climate change. It operationalizes these concepts through structured and iterative shared learning approaches that allow local planners to define these factors in their own context, in order to develop practical strategies for local action. The viability of the framework is demonstrated through examples from resilience planning activities undertaken in 10 cities across Asia through the Asian Cities Climate Change Resilience Network funded by the Rockefeller Foundation.
C1 [Tyler, Stephen] Adapt Resource Mgmt Ltd, Victoria, BC V8N 1V2, Canada.
   [Tyler, Stephen; Moench, Marcus] ISET, Boulder, CO USA.
RP Tyler, S (corresponding author), Adapt Resource Mgmt Ltd, 2207 Arbutus Rd, Victoria, BC V8N 1V2, Canada.
EM adaptive@telus.net
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Andersson E, 2006, ECOL SOC, V11
   [Anonymous], 1997, A UNDP policy document
   [Anonymous], 2007, CHARACTERISTICS DISA
   [Anonymous], 2007, Climate Change 2007: Synthesis Report, P76
   [Anonymous], 2022, INVESTIGATING BARRIE
   [Anonymous], 2012, How To Make Cities More Resilient: A Handbook For Local Government Leaders
   [Anonymous], 2002, RESILIENCE SUSTAINAB
   [Anonymous], CATALYZING URBAN CLI
   [Anonymous], CATALYZING URBAN CLI
   [Anonymous], LOC GOV CLIM CHANG A
   [Anonymous], 2012, FEMA
   [Anonymous], 2010, CLIM RISKS AD AS COA
   [Anonymous], CATALYZING URBAN CLI
   [Anonymous], 2010, ADB CLIM CHANG PROGR
   [Anonymous], 2011, CIT CLIM CHANG GLOB
   [Anonymous], 2009, AD COAST CLIM CHANG
   Antrobus D, 2011, URBAN RES PRACT, V4, P207, DOI 10.1080/17535069.2011.579777
   Armitage Derek., 2007, ADAPTIVE COMANAGEMEN, P1
   Balk Deborah., 2009, POPULATION DYNAMICS
   Beck T., 2006, Communities, livelihoods and natural resources: action research and policy change in Asia, P297
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Brunner RD, 2005, ADAPTIVE GOVERNANCE
   Campbell JL, 1998, THEOR SOC, V27, P377, DOI 10.1023/A:1006871114987
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chachavalpongpun P., 2011, ASIA SENTINEL
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Diduck A, 2010, SPRINGER SER ENV MAN, P199, DOI 10.1007/978-3-642-12194-4_10
   Ecoplan International Inc & Compass Resource Mgmt Ltd, 2011, PLANN CLIM CHANG STR
   Ericksen PJ, 2009, ENVIRON SCI POLICY, V12, P373, DOI 10.1016/j.envsci.2009.04.007
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fields B, 2009, J URBAN DES, V14, P325, DOI 10.1080/13574800903056515
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hodgson GM, 2006, J ECON ISSUES, V40, P1, DOI 10.1080/00213624.2006.11506879
   Huntjens P, 2012, GLOBAL ENVIRON CHANG, V22, P67, DOI 10.1016/j.gloenvcha.2011.09.015
   Kirshen P, 2008, CLIMATIC CHANGE, V86, P105, DOI 10.1007/s10584-007-9252-5
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Krugman Paul, 1996, The self-organizing economy
   Leach M, 1999, WORLD DEV, V27, P225, DOI 10.1016/S0305-750X(98)00141-7
   Lebel L, 2006, ECOL SOC, V11
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Little RG, 2002, J URBAN TECHNOL, V9, P109, DOI 10.1080/106307302317379855
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Lowe A., 2009, ASK CLIMATE QUESTION
   Maedows D., 1999, LEVERAGE POINTS PLAC
   McBain W., 2010, FLOOD RESILIENCE CRI
   McGranahan G., 2002, Demand-side water strategies and the urban poor
   Miller F, 2010, ECOL SOC, V15
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Moench M., 2004, Adaptive capacity and livelihood resilience-Adaptive strategies for responding to floods and droughts in South Asia
   Moench M., 2011, Catalyzing Urban Climate Resilience
   Moser C.O., 2006, ASSET BASED APPROACH
   Moser C, 2010, NEW FRONT SOC POLICY, P231
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   NOAA (National Oceanic and Atmospheric Administration), 2009, SMART GROWTH COAST W
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   North D. C., 1990, I I CHANGE EC PERFOR, DOI [DOI 10.1017/CBO9780511606892.012, DOI 10.1017/CBO9780511808678]
   O Rourke TD., 2007, BRIDGE, V37, P8
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Parsons E., 1995, Barriers and bridges to the renewal of ecosystems and institutions, P428
   Pelling M., 2003, VULNERABILITY CITIES
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Prasad N, 2009, CLIMATE RESILIENT CITIES: A PRIMER ON REDUCING VULNERABILITIES TO DISASTERS, P1, DOI 10.1596/978-0-8213-7766-6
   Resilience Alliance, 2007, Assessing Resilience in SocialEcological Systems: A Workbook for Scientists
   Satterthwaite D., 2009, ADAPTING CITIES CLIM, P359
   Satterthwaite D., 2007, ADAPTING CLIMATE CHA
   Schipper E., 2007, Climate change adaptation and development: Exploring the linkages
   Sen A., 1981, POVERTY FAMINES ESSA
   Snover A.K., 2007, PREPARING CLIMATE CH
   Tompkins EL, 2004, ECOL SOC, V9
   Tyler S, 2006, NATURAL RESOURCE COM
   Verner D, 2010, DIR DEV, P1, DOI 10.1596/978-0-8213-8238-7
   Walker B, 2002, CONSERV ECOL, V6
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Wilbanks T, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P357
   World Bank, 2011, CLIM CHANG DIS RISKS
NR 83
TC 424
Z9 485
U1 19
U2 444
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD OCT 1
PY 2012
VL 4
IS 4
BP 311
EP 326
DI 10.1080/17565529.2012.745389
PG 16
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 093RA
UT WOS:000315208000006
DA 2025-04-22
ER

PT J
AU Hou, X
   Ma, QL
   Wang, X
AF Hou, Xin
   Ma, Qianli
   Wang, Xuan
TI Spatial Differentiation and Elements Influencing Urban Resilience in the
   Middle Reaches of the Yangtze River under the COVID-19 Pandemic
SO DISCRETE DYNAMICS IN NATURE AND SOCIETY
LA English
DT Article
ID MODEL
AB Since the outbreak of COVID-19 in Wuhan City, Hubei Province, in December 2019, the middle reaches of the Yangtze River became the key areas of the spread of the pandemic and association, and also as the urban economic recovery process after the pandemic eased, it provided an excellent opportunity to research urban resilience. From the viewpoint of urban social-ecological system resilience in public health emergencies, this study comprehensively applies the spatial econometrics, geodetector model, and other methods to investigate the urban resilience level, spatial differentiation, and dominant elements in the middle reaches of the Yangtze River under the impact of the pandemic. This study would aid in providing a scientific basis for sustainable spatial planning and governance. The results demonstrated that the urban resilience in the middle reaches of the Yangtze River had notable spatial agglomeration features, eight elements including tertiary industry proportion possessed a robust explanatory power to the spatial differentiation of urban resilience, and the explanatory power was markedly enhanced after the interaction between influential elements of economic and ecological subsystems. Thus, to upgrade the system cycle mechanism and augment the endogenous power for urban development, we need to focus more on the flow of innovative elements in central cities, the optimization of ecological and safe spatial patterns in Hunan and Hubei Provinces, and the innovation of sustainable supply chain in the entire region.
C1 [Hou, Xin; Ma, Qianli; Wang, Xuan] Tianjin Univ, Sch Architecture, Tianjin, Peoples R China.
C3 Tianjin University
RP Hou, X (corresponding author), Tianjin Univ, Sch Architecture, Tianjin, Peoples R China.
EM workhou@126.com; mql963@tju.edu.cn; xuanerwang@126.com
RI Wang, Xuan/LLK-6347-2024
OI Hou, Xin/0009-0001-4211-5813; HOU, XIN/0000-0001-5094-2344
FU National Natural Science Foundation of China [51778400]
FX This project was supported by the National Natural Science Foundation of
   China (Grant no. 51778400). The authors would like to thank the
   Development and Reform Commission of Hunan Province, State Grid Hunan
   Electric Power Company Limited, Huangshi City Government, Hengyang City
   Government, Yiyang City Government, Xiangtan City Government, Changsha
   City Government, Energy Division, Hunan Provincial Bureau of Statistics,
   Tianmen City Government, Xiantao City Government, and Qianjiang City
   Government for providing government data assistance during the writing
   of the study.
CR [Anonymous], 2015, Transformation Investments and Business Impacts Version 0.2, DOI DOI 10.1007/S11069-014-1328-8
   Bao BS, 2020, INT J PROD RES, V58, P7507, DOI 10.1080/00207543.2020.1711988
   Chaffin BC, 2014, ECOL SOC, V19, DOI 10.5751/ES-06824-190356
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fox-Lent Cate, 2015, Environment Systems & Decisions, V35, P209, DOI 10.1007/s10669-015-9555-4
   Geng L, 2014, DISCRETE DYN NAT SOC, V2014, DOI 10.1155/2014/621341
   GETIS A, 1995, PROG HUM GEOG, V19, P245, DOI 10.1177/030913259501900205
   Holland J. H., 2006, Journal of Systems Science and Complexity, V19, P1, DOI 10.1007/s11424-006-0001-z
   Junhai M., 2018, CHAOS WOODBURY NY, V28
   Katharine W., 2015, ANNU REV PUBL HEALTH, V36
   Klein R.J.T., 2004, GLOBAL ENV CHANGE B, V5
   Lennon M, 2017, LANDSCAPE RES, V42, P146, DOI 10.1080/01426397.2016.1229460
   [李武 Li Wu], 2020, [中国公路学报, China Journal of Highway and Transport], V33, P43
   Ma J., 2020, IEEE T CONTR SYST T, V26, P1532
   Ma JH, 2019, NONLINEAR DYNAM, V95, P1147, DOI 10.1007/s11071-018-4621-3
   Ma JH, 2018, NONLINEAR DYNAM, V94, P1775, DOI 10.1007/s11071-018-4456-y
   Ma JH, 2016, NONLINEAR DYNAM, V83, P1379, DOI 10.1007/s11071-015-2410-9
   Ma JH, 2009, CHAOS SOLITON FRACT, V39, P2258, DOI 10.1016/j.chaos.2007.06.098
   [马琦伟 Ma Qiwei], 2020, [城市规划, City Planning Review], V44, P22
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Nyström M, 2019, NATURE, V575, P98, DOI 10.1038/s41586-019-1712-3
   Olcott G, 2014, CALIF MANAGE REV, V56, P5, DOI 10.1525/cmr.2014.56.2.5
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   [宋扬 Song Yang], 2020, [中华流行病学杂志, Chinese Journal of Epidemiology], V41, P1396
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   [王琳 Wang Lin], 2020, [生态学报, Acta Ecologica Sinica], V40, P6788
   World Health Organization, 2020, 11 WHO
   Wu F, 2018, NONLINEAR DYNAM, V93, P2145, DOI 10.1007/s11071-018-4313-z
   Yang Y, 2020, DIS SURVEILLANCE, V35, P977
   Yang YJ, 2020, DISCRETE DYN NAT SOC, V2020, DOI 10.1155/2020/8827544
   Zhu N, 2020, NEW ENGL J MED, V382, P727, DOI [10.1056/NEJMoa2001017, 10.1172/JCI89857]
NR 32
TC 9
Z9 9
U1 3
U2 63
PU HINDAWI LTD
PI LONDON
PA ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND
SN 1026-0226
EI 1607-887X
J9 DISCRETE DYN NAT SOC
JI Discrete Dyn. Nat. Soc.
PD JUN 8
PY 2021
VL 2021
AR 6687869
DI 10.1155/2021/6687869
PG 18
WC Mathematics, Interdisciplinary Applications; Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Mathematics; Science & Technology - Other Topics
GA SW9VP
UT WOS:000664861800003
OA gold
DA 2025-04-22
ER

PT J
AU Baravikova, A
   Coppola, A
   Terenzi, A
AF Baravikova, Aliaksandra
   Coppola, Alessandro
   Terenzi, Alberto
TI Operationalizing urban resilience: insights from the science-policy
   interface in the European Union
SO EUROPEAN PLANNING STUDIES
LA English
DT Article
DE Urban resilience; science-policy interface; EU; co-creation;
   operationalization
ID PLANNING PRACTICE; OPPORTUNITIES; ADAPTATION; POLITICS; JUSTICE; AGENDA
AB By examining three policy-oriented research projects funded by the European Union (RAMSES, RESIN, SMR) the paper critically discusses operationalization efforts of urban resilience as they are designed and produced at the interface between science and policy. By analysing the documents and conducting interviews with the projects' coordinators and participants, three main research questions were addressed concerning how urban resilience is defined across the projects and the actors involved, the role of the tools produced by them in their difficult task to reconcile wider applicability and local specificity and finally how stakeholder engagement and co-creation were framed and implemented. Based on the evidence collected, the authors argue that conceptualizations of urban resilience within operationalization efforts being produced at the science policy-interface are still quite plural and open, that such openness is largely confirmed by the flexibility of the tools produced by the projects and that while becoming increasingly relevant stakeholder engagement and co-creation strategy are yet to be fully framed and theorized. Finally, they present further research pathways aimed at strengthening our knowledge of operationalization efforts, the role of practitioners and of urban resilience implementation in discrete scientific and political environments.
C1 [Baravikova, Aliaksandra] Gran Sasso Sci Inst, Social Sci Dept, Via Michele Iacobucci 2, I-67100 Laquila, Italy.
   [Coppola, Alessandro] Politecn Milan, Dept Architecture & Urban Studies, Milan, Italy.
C3 Gran Sasso Science Institute (GSSI); Polytechnic University of Milan
RP Baravikova, A (corresponding author), Gran Sasso Sci Inst, Social Sci Dept, Via Michele Iacobucci 2, I-67100 Laquila, Italy.
EM aliaksandra.baravikova@gssi.it
CR Allen CR, 2018, ECOL SOC, V23, DOI 10.5751/ES-09920-230103
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Biermann M, 2016, RESILIENCE-ABINGDON, V4, P59, DOI 10.1080/21693293.2015.1094170
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Chelleri L, 2018, LECT N ENERG, V65, P111, DOI 10.1007/978-3-319-75798-8_6
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Coaffee J., 2016, URBAN RESILIENCE PLA
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Coaffee J, 2016, J FINANC MANAG PROP, V21, P73, DOI 10.1108/JFMPC-01-2016-0003
   Coaffee J, 2013, PLAN PRACT RES, V28, P323, DOI 10.1080/02697459.2013.787693
   Collier MJ, 2016, CURR OPIN ENV SUST, V22, P57, DOI 10.1016/j.cosust.2017.04.005
   Coppola A., 2016, ITALIANIEUROPEI, V2, P136
   Corson C., 2014, GLOBAL ENVIRON POLIT, V14, P82, DOI [10.1162/GLEP_a_00230, DOI 10.1162/GLEP_A_00230]
   Crowe PR, 2016, ENVIRON SCI POLICY, V62, P112, DOI 10.1016/j.envsci.2016.04.007
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   Davoudi S, 2018, CITY COMMUNITY, V17, P3, DOI 10.1111/cico.12281
   Doorn N., 2017, J RISK RES, V20, P711, DOI [10.1080/13669877.2015.1100662, DOI 10.1080/13669877.2015.1100662]
   Elmqvist T, 2017, NATURE, V546, P352, DOI 10.1038/546352d
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Haupt W, 2019, INT J URBAN SUSTAIN, V11, P123, DOI 10.1080/19463138.2019.1583235
   Hughes S., 2018, Climate Change in Cities s, P39
   Kallaos J, 2014, TEMA, V7, P5, DOI 10.6092/1970-9870/2290
   Kirbyshire A., 2017, Resilience.Scan
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   Matin N, 2018, WORLD DEV, V109, P197, DOI 10.1016/j.worlddev.2018.04.020
   Meerow S, 2017, ENVIRON PLANN A, V49, P2619, DOI 10.1177/0308518X17735225
   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
   Oulahen G, 2019, CLIMATIC CHANGE, V153, P41, DOI 10.1007/s10584-019-02386-w
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Romero P, 2016, SCI TRANSL MED, V8, DOI 10.1126/scitranslmed.aaf0685
   Saldana J., 2012, CODING MANUAL QUALIT
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Tanner T., 2017, Challenges for resilience policy and practice
   Urban Agenda for the EU, 2018, CLIM AD PARTN ACT PL
   van Stigt R, 2015, ENVIRON SCI POLICY, V47, P167, DOI 10.1016/j.envsci.2014.12.002
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Wesselink A, 2013, ENVIRON SCI POLICY, V30, P1, DOI 10.1016/j.envsci.2012.12.008
   Yamagata Y, 2018, LECT N ENERG, V65, P213, DOI 10.1007/978-3-319-75798-8_12
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 46
TC 6
Z9 6
U1 1
U2 23
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.
PD FEB 1
PY 2021
VL 29
IS 2
BP 241
EP 258
DI 10.1080/09654313.2020.1729346
EA FEB 2020
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 PZ5NI
UT WOS:000514559000001
DA 2025-04-22
ER

PT J
AU Li, RM
   Xu, M
   Zhou, HY
AF Li, Ruimin
   Xu, Meng
   Zhou, Huiyu
TI Impact of high-speed rail operation on urban economic resilience:
   Evidence from local and spillover perspectives in China
SO CITIES
LA English
DT Article
DE High -speed rail (HSR); Economic resilience; Continuous
   difference-in-differences (DID); model; Spatial
   difference-in-differences (SDID) model
ID REGIONAL RESILIENCE; CITIES
AB Based on the panel data of 280 prefecture-level cities in China from 2004 to 2019, this paper provides an empirical investigation of the mechanism and the impact of high-speed rails (HSRs) on urban economic resilience. The economic resilience evaluation has been constructed from three levels: risk resistance ability, organization and adjustment ability, as well as renewal and development ability. The difference-in-differences (DID) model and spatial difference-in-differences (SDID) model are adopted to analyze the impact of the HSR service intensity on the urban economic resilience. Results imply that the HSR has significantly improved the urban economic resilience along the lines. Further analysis shows that HSR mainly increases the economic resilience through potential effect of human resources, dynamic effect of new economic sectors and vitality effect of innovation output. From a spatial spillover perspective, HSR not only improves the local economic resilience, but also improves that of neighboring cities. The spatial spillover effect of HSR conforms to the law of geographic distance attenuation with spillover coefficient changes. Moreover, the study documents a series of heterogeneity analysis concerning HSR effects across Chinese cities. Particularly, HSRs promote the development of talents, new economic sectors, as well as innovation output, and help resource-based cities unlock their over-reliance on resource industries, thereby improving their economic resilience. This paper introduces the concept of urban economic resilience into the analysis framework of HSR effect, and measures the geographical boundary and effective scope of the HSR's spillover effect. It provides a new lens for the sustainable development of transportation-regional social economy.
C1 [Li, Ruimin] Univ Chinese Acad Social Sci, Fac Appl Econ, Beijing, Peoples R China.
   [Xu, Meng] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China.
   [Zhou, Huiyu] Beijing Jiaotong Univ, Res Ctr Cent & Eastern Europe, Sch Econ & Management, Beijing, Peoples R China.
   [Zhou, Huiyu] Beijing Jiaotong Univ, Res Ctr Cent & Eastern Europe, Sch Econ & Management, Shangyuancun 3, Beijing 100044, Peoples R China.
C3 Chinese Academy of Social Sciences; University of Chinese Academy of
   Social Sciences; Beijing Jiaotong University; Beijing Jiaotong
   University; Beijing Jiaotong University
RP Zhou, HY (corresponding author), Beijing Jiaotong Univ, Res Ctr Cent & Eastern Europe, Sch Econ & Management, Shangyuancun 3, Beijing 100044, Peoples R China.
EM hyzhou@bjtu.edu.cn
RI XU, Meng/AGX-8729-2022; Li, Ruimin/JVE-0540-2024; ZHOU,
   Huiyu/KBC-6087-2024
OI Zhou, Huiyu/0000-0002-9287-5095
FU National Social Science Fund of China [22BJY211]
FX This study is supported by The National Social Science Fund of China
   (22BJY211) .
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Ahlfeldt GM, 2018, J ECON GEOGR, V18, P355, DOI 10.1093/jeg/lbx005
   Audretsch D. B, 2002, IND CORP CHANGE, V1, P267
   Bahar D, 2021, J DEV ECON, V151, DOI 10.1016/j.jdeveco.2021.102652
   Beck T, 2010, J FINANC, V65, P1637, DOI 10.1111/j.1540-6261.2010.01589.x
   Bishop P, 2019, ENTREP REGION DEV, V31, P496, DOI 10.1080/08985626.2018.1541595
   Bogart D, 2022, J URBAN ECON, V128, DOI 10.1016/j.jue.2021.103390
   Boschma R, 2007, J ECON GEOGR, V7, P537, DOI 10.1093/jeg/lbm021
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Cainelli G, 2019, PAP REG SCI, V98, P755, DOI 10.1111/pirs.12377
   Chacon-Hurtado D, 2020, J TRANSP GEOGR, V84, DOI 10.1016/j.jtrangeo.2020.102695
   Chen Y, 2020, AM ECON REV, V110, P3393, DOI 10.1257/aer.20191414
   Chen ZH, 2016, TRANSPORT RES A-POL, V92, P232, DOI 10.1016/j.tra.2016.08.006
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   de Graaf-Zijl M, 2015, ECONOMIST-NETHERLAND, V163, P415, DOI 10.1007/s10645-015-9263-y
   Doran J, 2018, ENVIRON PLANN A, V50, P111, DOI 10.1177/0308518X17736067
   Fargnoli R., 2018, Q. Rep. Euro Area (QREA), V17, P31
   Feofilovs M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102328
   Friedman J.R., 1966, REGIONAL DEV POLICY
   Gao YY, 2020, REV DEV ECON, V24, P316, DOI 10.1111/rode.12642
   Hodgson C, 2018, J URBAN ECON, V104, P59, DOI 10.1016/j.jue.2018.01.005
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Hu XH, 2019, URBAN STUD, V56, P3466, DOI 10.1177/0042098018817223
   Huang Y, 2020, WORLD DEV, V265, P1
   Huang Y, 2021, J TRANSP GEOGR, V91, DOI 10.1016/j.jtrangeo.2021.102972
   Huggins R, 2015, CAMB J REG ECON SOC, V8, P313, DOI 10.1093/cjres/rsu035
   Jia RN, 2021, ENERG ECON, V99, DOI 10.1016/j.eneco.2021.105271
   Kou Z., 2017, FIND report on city and industrial innovation in China
   Lester TW, 2016, J URBAN AFF, V38, P42, DOI 10.1111/juaf.12205
   Li XL, 2020, TRANSPORT POLICY, V99, P262, DOI 10.1016/j.tranpol.2020.09.003
   Liu XL, 2021, TRANSPORT RES A-POL, V152, P84, DOI 10.1016/j.tra.2021.08.006
   Martin R, 2006, J ECON GEOGR, V6, P395, DOI 10.1093/jeg/lbl012
   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
   Qin Y, 2017, J ECON GEOGR, V17, P489, DOI 10.1093/jeg/lbw013
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   Ren XH, 2023, TRANSPORT RES A-POL, V169, DOI 10.1016/j.tra.2023.103588
   Shao S, 2017, J TRANSP GEOGR, V64, P174, DOI 10.1016/j.jtrangeo.2017.08.019
   Shen Y, 2016, CHINA ECON J, V9, P304, DOI 10.1080/17538963.2016.1211384
   Sun LY, 2021, J ECONOMETRICS, V225, P175, DOI 10.1016/j.jeconom.2020.09.006
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Tan JT, 2017, CHINESE GEOGR SCI, V27, P471, DOI 10.1007/s11769-017-0878-6
   Therrien MC, 2020, RISK HAZARDS CRISIS, V11, P320, DOI 10.1002/rhc3.12192
   Martínez YU, 2019, PAP REG SCI, V98, P2211, DOI 10.1111/pirs.12464
   Wang Y, 2022, CITIES, V130, DOI 10.1016/j.cities.2022.103877
   Wang YM, 2022, TRANSPORT POLICY, V116, P119, DOI 10.1016/j.tranpol.2021.11.024
   Zamfir E.M., 2022, Theoret. Appl. Economics, V29, P5
   Zhang FN, 2020, TRANSPORT RES A-POL, V141, P180, DOI 10.1016/j.tra.2020.09.013
   Zhang YY, 2021, TRANSPORT POLICY, V106, P1, DOI 10.1016/j.tranpol.2021.03.017
   Zhou B, 2022, TOURISM ECON, V28, P300, DOI 10.1177/1354816620958309
NR 53
TC 31
Z9 31
U1 109
U2 271
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD OCT
PY 2023
VL 141
AR 104498
DI 10.1016/j.cities.2023.104498
EA JUL 2023
PG 23
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA O9VD9
UT WOS:001047213300001
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Zhang, YZ
   Wang, JY
   Liu, YK
   Zhao, J
AF Zhang, Youzhi
   Wang, Jingyi
   Liu, Yinke
   Zhao, Jing
TI The Impact of the Digital Economy on Urban Ecological Resilience:
   Empirical Evidence from China's Comprehensive Big Data Pilot Zone Policy
SO SUSTAINABILITY
LA English
DT Article
DE digital economy; China's comprehensive big data pilot zone; ecological
   resilience; difference in differences
AB The present study examines the effects of China's comprehensive big data pilot zone policy on urban ecological resilience. This is achieved through the utilization of a quasi-natural experiment, employing panel data from 217 prefecture-level cities in China spanning the years 2010 to 2021. The research revealed that China's extensive policy on big data pilot zones has a notable and favorable influence on the ecological resilience of urban areas. This impact is both constant and subject to variation across different regions. The aforementioned impact is attained by means of progressions in industrial structure and the introduction of innovative green technologies. Furthermore, the strategy exerts a beneficial impact on the ecological resilience of urban areas in adjacent regions by means of spatial spillover effects.
C1 [Zhang, Youzhi; Wang, Jingyi; Liu, Yinke] Xian Shiyou Univ, Sch Econ & Management, Xian 710065, Peoples R China.
   [Zhao, Jing] Xian Univ Technol, Sch Econ & Management, Xian 710054, Peoples R China.
C3 Xi'an Shiyou University; Xi'an University of Technology
RP Wang, JY (corresponding author), Xian Shiyou Univ, Sch Econ & Management, Xian 710065, Peoples R China.
EM zhangyouzhi001@163.com; wang774715537@163.com; liuyinke0729@163.com;
   zj00000000@126.com
OI Zhao, Jing/0000-0003-4029-7024
FU Shaanxi Province Social Science Foundation Program
FX No Statement Available
CR Capdevila P, 2021, J ECOL, V109, P3102, DOI 10.1111/1365-2745.13775
   Chen Tian, 2019, Science & Technology Review, V37, P26, DOI 10.3981/j.issn.1000-7857.2019.08.004
   Chen W., 2022, Financ. Econ, P76
   Chen W., 2023, Contemp. Econ. Res, P99, DOI [10.3969/j.issn.1005-2674.2023.09.011, DOI 10.3969/J.ISSN.1005-2674.2023.09.011]
   Cui J., 2023, Inq. Econ. Issues, V44, P37
   Dong Y., 2022, Southeast Acad. Res, P85, DOI [10.13658/j.cnki.sar.2022.06.018, DOI 10.13658/J.CNKI.SAR.2022.06.018]
   Guo B., 2022, J. Guangdong Univ. Finance and Econ, V37, P58
   Hong Y., 2023, China-India Economic, P5
   Hou J, 2023, Econ Issues Explorat, P177
   Hu Z.Y., 2020, Statistical Research, V37, DOI [DOI 10.19343/J.CNKI.11-1302/C.2020.04.005, 10.19343/j.cnki.11-1302/c.2020.04.005]
   Huang L, 2023, ECOL INDIC, V155, DOI 10.1016/j.ecolind.2023.110977
   Jiang W., 2023, Resour. Dev. Mark, V39, P299
   Jiang Y., 2023, Resour. Environ, V33, P171
   Kong LZ, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010003
   Li GZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110667
   Li Z, 2023, Journal of Industrial Technological Economics, V42, P3
   Li ZG, 2022, J CLEAN PROD, V351, DOI 10.1016/j.jclepro.2022.131570
   Li ZHX, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13148058
   Liu D., 2023, West Forum Econ. Manag, V34, P1
   Lu WX, 2024, ENVIRON SCI POLLUT R, V31, P8566, DOI 10.1007/s11356-023-31647-6
   Lyu Y, 2024, STRUCT CHANGE ECON D, V69, P183, DOI 10.1016/j.strueco.2023.12.009
   Lyu YW, 2023, SCI TOTAL ENVIRON, V857, DOI 10.1016/j.scitotenv.2022.159428
   Ma SL, 2023, ENVIRON SCI POLLUT R, V30, P91887, DOI 10.1007/s11356-023-28445-5
   Niu Z.H., 2021, J EC, V8, P153
   [彭文斌 Peng Wenbin], 2023, [经济地理, Economic Geography], V43, P44
   Ren SM, 2022, BUS STRATEG ENVIRON, V31, P1656, DOI 10.1002/bse.2975
   [任英华 Ren Yinghua], 2023, [中国人口·资源与环境, China Population Resources and Environment], V33, P157
   [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 D., 2022, Finan. Trade Econ., V43, P85, DOI [10.19795/j.cnki.cn11-1166/f.20220906.006, DOI 10.19795/J.CNKI.CN11-1166/F.20220906.006]
   Shi D., 2022, J. China Industrial Econ, V11, P26
   Sun Q., 2023, Acad. J. Zhongzhou, P26, DOI [10.3969/j.issn.1003-0751.2023.11.005, DOI 10.3969/J.ISSN.1003-0751.2023.11.005]
   Tang Y, 2023, ENVIRON SCI POLLUT R, V30, P41299, DOI 10.1007/s11356-023-25155-w
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   [王松茂 Wang Songmao], 2023, [生态学报, Acta Ecologica Sinica], V43, P8309
   Wang W., 2022, INNOVATION GREEN DEV, DOI [10.1016/j.igd.2022.100011, DOI 10.1016/J.IGD.2022.100011]
   Xiao Y, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1124680
   Xu YY, 2018, ACTA ECOL SIN, V38, P5297, DOI [10.5846/stxb201709081620, DOI 10.5846/stxb201709081620]
   [阎晓 Yan Xiao], 2021, [自然资源学报, Journal of Natural Resources], V36, P223
   [闫志俊 Yan Zhijun], 2022, [中国人口·资源与环境, China Population Resources and Environment], V32, P67
   Yang D., 2023, Jiangsu Soc. Sci, P114, DOI [10.13858/j.cnki.cn32-1312/c.20230719.008, DOI 10.13858/J.CNKI.CN32-1312/C.20230719.008]
   Yang YW, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1113293
   Yue Y., 2023, Chin. J. Environ. Manag, V15, P94
   Zhang YR, 2023, ECON ANAL POLICY, V79, P986, DOI 10.1016/j.eap.2023.07.007
   [赵领娣 Zhao Lingdi], 2023, [经济地理, Economic Geography], V43, P119
   Zhao P, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151511596
   Zhu QS, 2023, MATH BIOSCI ENG, V20, P15898, DOI 10.3934/mbe.2023708
NR 46
TC 4
Z9 4
U1 27
U2 54
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 9
AR 3611
DI 10.3390/su16093611
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 QG6T4
UT WOS:001219772800001
OA gold
DA 2025-04-22
ER

PT J
AU Gao, Y
   Wang, JW
AF Gao, Y.
   Wang, J. W.
TI A resilience assessment framework for urban transportation systems
SO INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
LA English
DT Article
DE Urban transportation system; resilience; definition; assessment
   framework; disruptions
ID ROBUSTNESS ASSESSMENT; NETWORK THEORY; VULNERABILITY; DEMAND
AB Unexpected disruptions in an urban transportation system may severely damage its structure and functionality. The resilience of urban transportation networks, i.e. the ability to recover from destroyed conditions, is thus significant for the mobility of passengers and freight in cities. However, its definition and measurement have been confused with robustness. This research advances a trackable assessment framework for the resilience of two typical urban transportation modes, i.e. road system and metro system, considering the characteristics of their structure and functionality. Individual vertex-based and edge-based failure models are established for the two transportation systems based on their network models. The proposed measurement approach is applied to an inner-city road freight system and the metro system in Hangzhou, China, to analyse their resilience, considering different combinations of vertex-based and edge-based failures. The proposed approach is compared with an efficiency-based resilience measurement method and outperforms in two parts. First, it has a broader application than previous related methods because it can describe disruptions occurring on one directed vertex or edge using a directed network model. Second, the new method outputs more reliable results due to considering more structural and functional characteristics of urban transportation systems than previous methods.
C1 [Gao, Y.; Wang, J. W.] Univ Hong Kong, Shenzhen Inst Res & Innovat, Dept Ind & Mfg Syst Engn, Pokfulam Rd, Hong Kong, Peoples R China.
C3 University of Hong Kong; The University of Hong Kong Shenzhen Institute
   of Research & Innovation
RP Wang, JW (corresponding author), Univ Hong Kong, Shenzhen Inst Res & Innovat, Dept Ind & Mfg Syst Engn, Pokfulam Rd, Hong Kong, Peoples R China.
EM jwwang@hku.hk
RI Gao, Yue/JFK-5155-2023; Wang, J. W./E-1263-2013
OI Gao, Yue/0000-0002-6027-5618; Wang, J. W./0000-0001-8895-2214
FU National Natural Science Foundation of China [71571156]; State Key
   Laboratory of Synthetical Automation for Process Industries
   [PAL-N201802]; 2019 Guangdong Special Support Talent Program -Innovation
   and Entrepreneurship Leading Team (China) [2019BT02S593]; Research
   Grants Council, University Grants Committee [T32-101/15-R]; University
   of Hong Kong through the Seed Fund for Basic Research [201811159163]
FX This work was supported by National Natural Science Foundation of China
   [grant number 71571156]; the open project funded by State Key Laboratory
   of Synthetical Automation for Process Industries [grant number
   PAL-N201802]; 2019 Guangdong Special Support Talent Program -Innovation
   and Entrepreneurship Leading Team (China) [grant number 2019BT02S593];
   Research Grants Council, University Grants Committee [grant number
   T32-101/15-R]; the University of Hong Kong through the Seed Fund for
   Basic Research [grant number 201811159163].
CR [Anonymous], 2006, Resilience Engineering
   Cats O, 2016, J TRANSP GEOGR, V51, P236, DOI 10.1016/j.jtrangeo.2016.01.011
   Chan R, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000200
   China Statistics Press, 2019, HANGZHOU STAT YB 201
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   D'Lima M, 2015, TRANSPORT RES A-POL, V81, P35, DOI 10.1016/j.tra.2015.05.017
   Dadsena KK, 2019, INT J PROD RES, V57, P6223, DOI 10.1080/00207543.2019.1578429
   Deloukas A, 2017, TRANSP RES PROC, V24, P459, DOI 10.1016/j.trpro.2017.05.082
   Deng YL, 2018, SAFETY SCI, V103, P172, DOI 10.1016/j.ssci.2017.10.017
   Deng YL, 2015, SAFETY SCI, V80, P127, DOI 10.1016/j.ssci.2015.07.019
   Derrible S, 2010, PHYSICA A, V389, P3678, DOI 10.1016/j.physa.2010.04.008
   Jenelius E, 2015, TRANSPORTMETRICA A, V11, P819, DOI 10.1080/23249935.2015.1087232
   Kim H, 2015, J PUBLIC TRANSPORT, V18, P89, DOI 10.5038/2375-0901.18.3.6
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Osei-Asamoah A, 2014, TRANSPORT RES REC, P120, DOI 10.3141/2467-13
   Pathak DK, 2019, INT J PROD RES, V57, P6202, DOI 10.1080/00207543.2019.1602741
   Pinto R, 2019, INT J PROD RES, V57, P83, DOI 10.1080/00207543.2018.1461269
   Raveau S, 2011, TRANSPORT RES A-POL, V45, P138, DOI 10.1016/j.tra.2010.12.004
   Rodríguez-Núñez E, 2014, J TRANSP GEOGR, V35, P50, DOI 10.1016/j.jtrangeo.2014.01.008
   Ta C, 2009, TRANSPORT RES REC, P19, DOI 10.3141/2097-03
   Tsang D., 2019, South China Morning Post
   Wang JW, 2013, INT J ADV MANUF TECH, V69, P427, DOI 10.1007/s00170-013-5022-x
   Wang JW, 2018, COMPUT IND ENG, V125, P668, DOI 10.1016/j.cie.2017.12.021
   Wang JW, 2016, IEEE SYST J, V10, P410, DOI 10.1109/JSYST.2014.2363161
   Wang Y, 2019, TRANSPORT RES E-LOG, V130, P82, DOI 10.1016/j.tre.2019.08.016
   Xu Q, 2016, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2016/03/033404
   Yang YH, 2015, SAFETY SCI, V79, P149, DOI 10.1016/j.ssci.2015.06.006
   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
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
   Zhou YM, 2018, IEEE T INTELL TRANSP, V19, P402, DOI 10.1109/TITS.2017.2700080
   Zhou YM, 2017, RISK ANAL, V37, P1477, DOI 10.1111/risa.12802
   Zhu Y, 2016, TRANSPORT RES REC, P70, DOI 10.3141/2599-09
NR 33
TC 28
Z9 30
U1 29
U2 283
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0020-7543
EI 1366-588X
J9 INT J PROD RES
JI Int. J. Prod. Res.
PD APR 3
PY 2021
VL 59
IS 7
SI SI
BP 2177
EP 2192
DI 10.1080/00207543.2020.1847339
EA NOV 2020
PG 16
WC Engineering, Industrial; Engineering, Manufacturing; Operations Research
   & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA RF5YB
UT WOS:000592022900001
DA 2025-04-22
ER

PT J
AU Zhang, H
   Liu, XQ
   Xie, YK
   Gou, Q
   Li, RR
   Qiu, YQ
   Hu, YM
   Huang, B
AF Zhang, Hui
   Liu, Xiaoqian
   Xie, Yingkai
   Gou, Qiang
   Li, Rongrong
   Qiu, Yanqing
   Hu, Yueming
   Huang, Bo
TI Assessment and Improvement of Urban Resilience to Flooding at a
   Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case
   Study
SO REMOTE SENSING
LA English
DT Article
DE urban resilience; flooding; recovery; SAR; nighttime light satellite
   imagery; Jakarta
ID COMMUNITY-RESILIENCE; SOCIAL VULNERABILITY; WATER; RECOVERY; INDEX;
   METRICS; SENTINEL-1A; DELINEATION; FRAMEWORK; RESPONSES
AB Urban resilience to natural disasters (e.g., flooding), in the context of climate change, has been becoming increasingly important for the sustainable development of cities. This paper presents a method to assess the urban resilience to flooding in terms of the recovery rate of different subdistricts in a city using all-weather synthetic aperture radar imagery (i.e., Sentinel-1A imagery). The factors that influence resilience, and their relative importance, are then determined through principal component analysis. Jakarta, a flood-prone city in Indonesia, is selected as a case study. The resilience of 42 subdistricts in Jakarta, with their gross domestic product data super-resolved using nighttime-light satellite images, was assessed. The association between resilience levels and influencing factors, such as topology, mixtures of religion, and points-of-interest density, were subsequently derived. Topographic factors, such as elevation (coefficient = 0.3784) and slope (coefficient = 0.1079), were found to have the strongest positive influence on flood recovery, whereas population density (coefficient = -0.1774) a negative effect. These findings provide evidence for policymakers to make more pertinent strategies to improve flood resilience, especially in subdistricts with lower resilience levels.
C1 [Zhang, Hui; Hu, Yueming] South China Agr Univ, Coll Nat Resources & Environm, Guangzhou 510642, Peoples R China.
   [Zhang, Hui] Shenzhen Real Estate Assessment Ctr, Shenzhen 518040, Peoples R China.
   [Liu, Xiaoqian; Gou, Qiang] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Dept Surveying & Geoinformat, Chengdu 611756, Peoples R China.
   [Xie, Yingkai; Hu, Yueming] South China Acad Nat Resources Sci & Technol, Guangzhou 510642, Peoples R China.
   [Li, Rongrong; Huang, Bo] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China.
   [Qiu, Yanqing] Guangdong Urban & Rural Planning & Design Inst, Guangzhou 510290, Peoples R China.
   [Hu, Yueming] Hainan Univ, Coll Trop Crops, Haikou 570228, Hainan, Peoples R China.
   [Huang, Bo] Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China.
C3 South China Agricultural University; Southwest Jiaotong University;
   Chinese University of Hong Kong; Hainan University; Chinese University
   of Hong Kong
RP Huang, B (corresponding author), Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China.; Huang, B (corresponding author), Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China.
EM zhanghui009@stu.scau.edu.cn; tracy@my.swjtu.edu.cn;
   xieyk@stu.scau.edu.cn; gouqiang@my.swjtu.edu.cn; rongrongli@cuhk.edu.hk;
   qiuyanqing@gdupi.com; 995149@hainanu.edu.cn; bohuang@cuhk.edu.hk
RI Huang, Bo/LIC-1378-2024; Zhang, Huihui/CAG-7502-2022; Huang,
   Bo/H-9874-2014
OI Huang, Bo/0000-0002-5063-3522
FU United Nations Economic and Social Commission for Asia [10141267]; Hong
   Kong Research Grants Council [AoE/E-603/18]; National Key R&D Program of
   China [2019YFC1510400]
FX This research was supported by United Nations Economic and Social
   Commission for Asia and the Pacific (10141267), the Hong Kong Research
   Grants Council (AoE/E-603/18), and the National Key R&D Program of China
   (2019YFC1510400).
CR Bakr M, 2015, WATER RESOUR MANAG, V29, P1541, DOI 10.1007/s11269-014-0893-7
   Budiyono Y, 2015, NAT HAZARDS, V75, P389, DOI 10.1007/s11069-014-1327-9
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Caljouw M., 2009, Journal of the Humanities and Social Sciences of Southeast Asia, V161, P454, DOI [10.1163/22134379-90003704, DOI 10.1163/22134379-90003704]
   Chang SE, 2010, DISASTERS, V34, P303, DOI 10.1111/j.1467-7717.2009.01130.x
   CHOUDHURY BJ, 1987, INT J REMOTE SENS, V8, P533, DOI 10.1080/01431168708948660
   Commission J.R.C.-E, 2008, HDB CONSTRUCTING COM
   Cutter S.L., 2008, White Pap. Urban Coast Inst
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dai ZX, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020305
   Feng L, 2012, REMOTE SENS ENVIRON, V121, P80, DOI 10.1016/j.rse.2012.01.014
   Feng L, 2011, REMOTE SENS ENVIRON, V115, P2729, DOI 10.1016/j.rse.2011.06.013
   Feyisa GL, 2014, REMOTE SENS ENVIRON, V140, P23, DOI 10.1016/j.rse.2013.08.029
   Firman T, 2009, HABITAT INT, V33, P327, DOI 10.1016/j.habitatint.2008.08.005
   Gall M., 2013, SOCIAL VULNERABILITY, DOI [10.13140/2.1.2949.4568, DOI 10.13140/2.1.2949.4568]
   Goh K, 2019, INT J URBAN REGIONAL, V43, P250, DOI 10.1111/1468-2427.12756
   Gong P, 2019, SCI BULL, V64, P370, DOI 10.1016/j.scib.2019.03.002
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Haas EM, 2011, REMOTE SENS ENVIRON, V115, P3436, DOI 10.1016/j.rse.2011.08.007
   HAYNES KE, 1989, COMPUT ENVIRON URBAN, V13, P75, DOI 10.1016/0198-9715(89)90036-7
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Henderson JV, 2012, AM ECON REV, V102, P994, DOI 10.1257/aer.102.2.994
   Horritt MS, 2001, INT J REMOTE SENS, V22, P2489, DOI 10.1080/01431160152497691
   Ji LY, 2015, REMOTE SENS-BASEL, V7, P13507, DOI 10.3390/rs71013507
   Jin HR, 2014, ISPRS J PHOTOGRAMM, V98, P70, DOI 10.1016/j.isprsjprs.2014.09.017
   Jordan E, 2016, NAT HAZARDS, V84, P1327, DOI 10.1007/s11069-016-2489-4
   Kusumo A.N.L., 2017, CASE STUDY JKT APPL, V88, P185, DOI [10.1016/j.apgeog.2017.07.002, DOI 10.1016/J.APGEOG.2017.07.002]
   Lhomme S, 2010, WIT TRANS ECOL ENVIR, V129, P661, DOI 10.2495/SC100561
   Li XL, 2016, INT J DISAST RISK SC, V7, P393, DOI 10.1007/s13753-016-0109-2
   Li Y., 2017, Planner, V33, P5, DOI 10.3969/j.issn.1006-0022.2017.08.001
   Liao AP, 2014, SCI CHINA EARTH SCI, V57, P2305, DOI 10.1007/s11430-014-4918-0
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Ma T, 2014, REMOTE SENS LETT, V5, P165, DOI 10.1080/2150704X.2014.890758
   Mason DC, 2012, REMOTE SENS ENVIRON, V124, P705, DOI 10.1016/j.rse.2012.06.017
   McFeeters SK, 1996, INT J REMOTE SENS, V17, P1425, DOI 10.1080/01431169608948714
   Mieler M, 2015, EARTHQ SPECTRA, V31, P1267, DOI 10.1193/082213EQS237M
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Nan, 2017, CITY PLANNING REV, V41, P9
   Olshansky R.B., 2006, BUILD ENVIRON, V32, P354
   OLSHANSKY RB, 2005, 1 INT C URB DIS RED
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   OTSU N, 1979, IEEE T SYST MAN CYB, V9, P62, DOI 10.1109/TSMC.1979.4310076
   PALOSCIA S, 1992, REMOTE SENS ENVIRON, V40, P15, DOI 10.1016/0034-4257(92)90123-2
   Phillips B.D., 2015, Disaster recovery
   Pierdicca N, 2010, IEEE T GEOSCI REMOTE, V48, P273, DOI 10.1109/TGRS.2009.2028881
   Reams Margaret A, 2012, Am J Clim Change, V1, P194
   Rosser JF, 2017, NAT HAZARDS, V87, P103, DOI 10.1007/s11069-017-2755-0
   Sagala S., 2013, EVOLUTION RISK VULNE
   Sayers P., 2013, FLOOD RISK MANAGEMEN
   Sheng Y, 2001, INT J REMOTE SENS, V22, P1709, DOI 10.1080/014311601300176006
   Song JL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190701
   Song JL, 2017, WATER-SUI, V9, DOI 10.3390/w9080619
   The World Bank JAKARTA|Urban Challenges in a Changing Climate, 2011, MAYORS TASK FORC CLI
   Tian HF, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9060521
   Tierney K., 2012, International Journal of Mass Emergencies and Disasters, V30, P123, DOI DOI 10.1177/028072701203000210
   Tomas H., 2015, WHITE PAPER PETAJAKA
   Ulaby F. T., 1990, Geocarto International, V5, P38
   Vamvakeridou-Lyroudia LS, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.136078
   Varrani A, 2018, INT J RIVER BASIN MA, V16, P439, DOI 10.1080/15715124.2017.1387125
   Wang JZ, 2019, CATENA, V177, P189, DOI 10.1016/j.catena.2019.02.020
   Ward PJ, 2011, NAT HAZARDS, V56, P899, DOI 10.1007/s11069-010-9599-1
   Wijayanti P, 2017, NAT HAZARDS, V86, P1059, DOI 10.1007/s11069-016-2730-1
   Wood NJ, 2010, NAT HAZARDS, V52, P369, DOI 10.1007/s11069-009-9376-1
   Xu HQ, 2006, INT J REMOTE SENS, V27, P3025, DOI 10.1080/01431160600589179
   Yoon DK, 2016, J ENVIRON PLANN MAN, V59, P436, DOI 10.1080/09640568.2015.1016142
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
NR 69
TC 6
Z9 6
U1 8
U2 78
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD MAY
PY 2022
VL 14
IS 9
AR 2010
DI 10.3390/rs14092010
PG 23
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA 1F8DH
UT WOS:000795392200001
OA gold
DA 2025-04-22
ER

PT J
AU Lim, TC
AF Lim, Theodore C.
TI Necessary Considerations When Framing Urban Heat Resilience as an
   Infrastructure Issue
SO JOURNAL OF THE AMERICAN PLANNING ASSOCIATION
LA English
DT Article
DE climate justice; heat resilience; infrastructure planning; participatory
   action research; resilience implementation gap
AB Conceptualizing urban heat resilience as an infrastructure problem emphasizes the urgency with which we must adapt to global climate change, but also risks ignoring the continued marginalization that vulnerable populations experience as a result of infrastructure decisions. In this Viewpoint, I use my experience with participatory action research (PAR) in building urban heat resilience to show the ways in which an infrastructure framing presents opportunities, and the ways in which planners a) need to be aware of infrastructure as socio-technical systems and b) recognize spatial networks of social capital to appropriately approach interventions that benefit those most likely to be adversely affected by rising temperatures in cities.
C1 [Lim, Theodore C.] Virginia Polytech Inst Virginia Tech, Sch Publ & Int Affairs, Blacksburg, VA 24060 USA.
   [Lim, Theodore C.] State Univ Virginia Tech, Blacksburg, VA 24060 USA.
RP Lim, TC (corresponding author), Virginia Polytech Inst Virginia Tech, Sch Publ & Int Affairs, Blacksburg, VA 24060 USA.; Lim, TC (corresponding author), State Univ Virginia Tech, Blacksburg, VA 24060 USA.
EM tclim@vt.edu
RI Lim, Theodore/ABE-2162-2020
OI Lim, Theodore/0000-0002-7896-4964
FU I acknowledge the contributions of my community partners living and
   working in the City of Roanoke, the constructive suggestions by three
   anonymous reviewers, and JAPA Editor Ann Forsyth. All
   mistakes are mine alone, and this Viewpoint ref
FX I acknowledge the contributions of my community partners living and
   working in the City of Roanoke, the constructive suggestions by three
   anonymous reviewers, and <ITALIC>JAPA</ITALIC> Editor Ann Forsyth. All
   mistakes are mine alone, and this Viewpoint reflects my involvement in
   heat resilience planning in Roanoke.
CR Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Anguelovski I, 2019, INT J URBAN REGIONAL, V43, P133, DOI 10.1111/1468-2427.12725
   [Anonymous], 2021, Infrastructure Investment and Jobs Act
   [Anonymous], 2022, INFL RED ACT 2023 PU
   Ballester J, 2023, NAT MED, V29, P1857, DOI 10.1038/s41591-023-02419-z
   Bijker W. E., 1989, SOCIAL CONSTRUCTION, DOI DOI 10.1177/030631289019001010
   Binet A, 2023, J AM PLANN ASSOC, V89, P282, DOI 10.1080/01944363.2022.2099955
   Campbell H, 2012, J PLAN EDUC RES, V32, P135, DOI 10.1177/0739456X11436347
   Carmichael CE, 2019, SOC NATUR RESOUR, V32, P588, DOI 10.1080/08941920.2018.1550229
   Cousins JJ, 2021, J ENVIRON POL PLAN, V23, P581, DOI 10.1080/1523908X.2021.1893164
   Cybersecurity and Infrastructure Security Agency (CISA), 2022, INFR RES PLANN FRAM
   DAVIDOFF P, 1965, J AM I PLANNERS, V31, P331, DOI 10.1080/01944366508978187
   Elmer V., 2013, INFRASTRUCTURE PLANN
   Erfan A, 2017, PLAN THEORY PRACT, V18, P34, DOI 10.1080/14649357.2016.1249909
   Fullilove MT, 2001, J URBAN HEALTH, V78, P72, DOI 10.1093/jurban/78.1.72
   Graham S., 2001, SPLINTERING URBANISM, DOI [DOI 10.4324/9780203452202, 10.4324/9780203452202]
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Habeeb D, 2015, NAT HAZARDS, V76, P1651, DOI 10.1007/s11069-014-1563-z
   Hamstead ZA, 2024, URBAN STUD, V61, P531, DOI 10.1177/00420980231184466
   Hamstead ZA, 2023, PLAN THEORY PRACT, V24, P153, DOI 10.1080/14649357.2023.2201604
   Hansen A, 2008, ENVIRON HEALTH PERSP, V116, P1369, DOI 10.1289/ehp.11339
   Hendricks MD, 2021, ENVIRON JUSTICE, V14, P87, DOI 10.1089/env.2020.0054
   Hoch C, 2006, PLAN THEORY PRACT, V7, P367, DOI 10.1080/14649350600984436
   Hoffman JS, 2020, CLIMATE, V8, DOI 10.3390/cli8010012
   Hoover Fushcia-Ann, 2021, Socioecol Pract Res, V3, P55, DOI 10.1007/s42532-020-00070-3
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Hughes T.P., 1983, NETWORKS POWER ELECT, DOI DOI 10.56021/9780801828737
   Inch A, 2023, J PLAN EDUC RES, V43, P869, DOI 10.1177/0739456X20928400
   Keith L., 2022, Planning for urban heat resilience
   Keith L, 2023, J ENVIRON POL PLAN, DOI 10.1080/1523908X.2023.2244446
   Klinenberg Eric., 2003, Heat Wave: A Social Autopsy of Disaster in Chicago
   Knapp C, 2022, PLAN THEORY PRACT, V23, P425, DOI 10.1080/14649357.2022.2082710
   KRUMHOLZ N, 1982, J AM PLANN ASSOC, V48, P163, DOI 10.1080/01944368208976535
   Larsen L, 2023, J AM PLANN ASSOC, V89, P363, DOI 10.1080/01944363.2022.2087724
   Larsen L, 2015, FRONT ECOL ENVIRON, V13, P486, DOI 10.1890/150103
   Latour B., 1999, Pandora's hope: essays on the reality of science studies
   Lim TC, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104497
   Locke DH, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00022-0
   Lyles W, 2019, J AM PLANN ASSOC, V85, P287, DOI 10.1080/01944363.2019.1612268
   Mandarano L, 2017, LOCAL ENVIRON, V22, P1338, DOI 10.1080/13549839.2017.1345878
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Oxford University Press, 2020, INFRASTRUCTURE OXFOR
   Riedman E, 2022, URBAN FOR URBAN GREE, V73, DOI 10.1016/j.ufug.2022.127597
   Rivera DZ, 2022, PLAN THEORY PRACT, V23, P807, DOI 10.1080/14649357.2022.2147340
   Rizzo S., 2021, WASH POST
   Sailor DJ, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0bb9
   Sandercock L, 2014, J PLAN EDUC RES, V34, P19, DOI 10.1177/0739456X13516499
   Sanz-Barbero B, 2018, SCI TOTAL ENVIRON, V644, P413, DOI 10.1016/j.scitotenv.2018.06.368
   Schwarz K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122051
   Slater, 2014, RES NEOL URB
   Song L, 2023, J AM PLANN ASSOC, V89, P566, DOI 10.1080/01944363.2023.2181851
   Star SL, 1999, AM BEHAV SCI, V43, P377, DOI 10.1177/00027649921955326
   Thomson H, 2019, ENERG BUILDINGS, V196, P21, DOI 10.1016/j.enbuild.2019.05.014
   Williams RA, 2024, J PLAN EDUC RES, V44, P64, DOI 10.1177/0739456X20946416
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
NR 55
TC 3
Z9 3
U1 10
U2 26
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 JUL 2
PY 2024
VL 90
IS 3
BP 568
EP 575
DI 10.1080/01944363.2023.2259358
EA OCT 2023
PG 8
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA WO0D2
UT WOS:001085693800001
OA hybrid
DA 2025-04-22
ER

PT J
AU Meerow, S
AF Meerow, Sara
TI Double exposure, infrastructure planning, and urban climate resilience
   in coastal megacities: A case study of Manila
SO ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE
LA English
DT Review
DE Climate change adaptation; globalization; megacities; urban
   infrastructure planning; urban resilience
ID GREEN INFRASTRUCTURE; POLITICAL ECOLOGY; CITIES; SPACE; ADAPTATION;
   NETWORKS; CITY; GEOGRAPHY; IMPACTS; HEALTH
AB Coastal megacities pose a particular challenge for climate change adaptation and resilience planning. These dense concentrations of population, economic activity, and consumptionthe majority of which are in the Global Southare often extremely vulnerable to climate change impacts such as sea level rise and extreme weather. This paper unpacks these complexities through a case study of Metropolitan Manila, the capital of the Philippines, which represents an example of double exposure to climate change impacts and globalization. The city is experiencing tremendous population and economic growth, yet Manila is plagued by frequent natural disasters, congestion, inadequate infrastructure, poverty, and income inequality. The need for metro-wide planning and infrastructure transformations to address these problems is widely recognized, but governance challenges are a major barrier. Drawing on fieldwork, interviews, and other primary and secondary sources, I argue that climate change and globalization, in combination with Manila's historical and physical context, critically shape metro-wide infrastructure planning. Focusing on electricity and green infrastructure, I find that the largely decentralized and privatized urban governance regime is perpetuating a fragmented and unequal city, which may undermine urban climate resilience. This study extends the double exposure framework to examine how global processes interact with contextual factors to critically shape urban infrastructure planning, and how the resulting system conforms to theorized characteristics of urban climate resilience. In doing so, I help to connect emerging literatures on double exposure, urban infrastructure planning, and urban climate resilience.
C1 [Meerow, Sara] Arizona State Univ, Tempe, AZ USA.
C3 Arizona State University; Arizona State University-Tempe
RP Meerow, S (corresponding author), Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA.
EM sara.meerow@asu.edu
RI Meerow, Sara/J-8037-2019
OI Meerow, Sara/0000-0002-6935-1832
FU Marshall Weinberg Population, Development, and Climate Change
   Fellowship; Rackham International Research Grant; Menakka and Essel
   Bailey Fellowship
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: The
   author(s) would like to thank Marshall Weinberg Population, Development,
   and Climate Change Fellowship, the Rackham International Research Grant,
   and the Menakka and Essel Bailey Fellowship for funding the research.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahern Jack., 2007, Cities of the Future: Towards Integrated Sustainable Water and Landscape Management, P268
   [Anonymous], 2015, Today in Energy
   [Anonymous], 2010, CLIM RISKS AD AS COA
   [Anonymous], 2012, WORLD URB PROSP 2011
   ARUP, 2014, CIT RES IND CIT RES
   BALBO M, 1993, THIRD WORLD PLAN REV, V15, P23, DOI 10.3828/twpr.15.1.r4211671042614mr
   Bello Walden., 2004, The Anti- Development State: The Political Economy of Permanent Crisis in the Philippines
   Blackburn Sophia., 2014, Megacities and the Coast: Risk Resilience and Transformation
   Boquet Yves., 2015, Urban Development Challenges, Risks, and Resilience in Asian Mega cities, P447
   Brenner N, 2002, ANTIPODE, V34, P349, DOI 10.1111/1467-8330.00246
   Broto VC, 2013, INT J URBAN REGIONAL, V37, P1934, DOI 10.1111/1468-2427.12050
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Burton RJF, 2014, J RURAL STUD, V33, P82, DOI 10.1016/j.jrurstud.2013.11.002
   Cham Rowena M., 2007, The Philippine Review of Economics, V44, P33
   Choi N, 2016, URBAN STUD, V53, P577, DOI 10.1177/0042098014543032
   Connell J, 1999, ENVIRON PLANN A, V31, P417, DOI 10.1068/a310417
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Foster Josh., 2011, VALUE GREEN INFRASTR
   Garrido M, 2013, INT J URBAN REGIONAL, V37, P165, DOI 10.1111/j.1468-2427.2011.01100.x
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Graham S, 2000, INT J URBAN REGIONAL, V24, P183, DOI 10.1111/1468-2427.00242
   Graham S., 2001, SPLINTERING URBANISM, DOI [DOI 10.4324/9780203452202, 10.4324/9780203452202]
   Grineski S, 2013, LOCAL ENVIRON, V20, P180
   Grosvenor, 2014, RES CIT GROSV RES RE
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Harvey David, 2005, BRIEF HIST NEOLIBERA
   Heynen N., 2005, CAPITALISM NATURE SO, V16, P99, DOI DOI 10.1080/1045575052000335393
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   International Energy Agency, 2015, MAK EN SECT MOR RES
   Israel D. C, 2014, PHILIPPINE I DEV STU
   Jeffers JM, 2013, ENVIRON PLANN A, V45, P1436, DOI 10.1068/a45386
   Johnson Craig., 2016, The Urban Climate Challenge: Rethinking the Role of Cities in the Global Climate Regime
   Kamal-Chaoui L., 2008, COMPET CITIES CLIM C, P29
   Kearns Allen., 2014, Resilient Sustainable Cities: A future, P52
   Kelman I, 2016, NAT HAZARDS, V82, pS129, DOI 10.1007/s11069-016-2294-0
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kooy M, 2008, GEOFORUM, V39, P1843, DOI 10.1016/j.geoforum.2008.07.012
   Leichenko R., 2008, ENV CHANGE GLOBALIZA
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Leichenko RM, 2010, ANN ASSOC AM GEOGR, V100, P963, DOI 10.1080/00045608.2010.497340
   Leitner H., 2007, Contesting neoliberalism: Urban frontiers
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Luque-Ayala A., 2016, Energy, Power and Protest on the Urban Grid: Geographies of the Electric City, V1st
   Magno-Ballesteros M, 2000, PHILIPPINE I DEV STU
   Manasan RG, 1999, PHILIPPINE I DEV STU
   Maplecroft, 2013, CLIM CHANG ENV RISK
   Marquardt J, 2015, ENVIRON INNOV SOC TR, V14, P182, DOI 10.1016/j.eist.2014.11.003
   Meerow S, 2016, URBAN GEOGRAPHY
   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
   Meixian L, 2014, THE BUSINESS TIMES
   Mercado Ruben., 2005, Journal of the Eastern Asia Society for Transportation Studies, V6, P3744
   Metropolitan Manila Development Authority, 2015, METR MAN GREENPR 203
   Michel Boris., 2010, PHILIPPINE STUDIES, V58, P383
   Molyneaux L, 2012, ENERG POLICY, V47, P188, DOI 10.1016/j.enpol.2012.04.057
   Monstadt J, 2009, ENVIRON PLANN A, V41, P1924, DOI 10.1068/a4145
   Mouton M, 2015, ENERG POLICY, V78, P225, DOI 10.1016/j.enpol.2014.11.005
   NASA, 2009, HURR SEAS 2009
   Navarro A, 2016, POST EPIRA IMPACTS E
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Ortega Arnisson Andre., 2016, Neoliberalizing Spaces in the Philippines: Suburbanization, Transnational Migration, and Dispossession
   Ortega AAC, 2016, GEOFORUM, V70, P35, DOI 10.1016/j.geoforum.2016.02.002
   Ortega AAC, 2012, URBAN GEOGR, V33, P1118, DOI 10.2747/0272-3638.33.8.1118
   Palafox FA, 2014, MANILA TIMES MA 0115
   Patton M Q., 2002, Qualitative analysis and interpretation. Qualitative Research and Evaluation Methods
   Peck J, 2002, ANTIPODE, V34, P380, DOI 10.1111/1467-8330.00247
   Peck Jamie., 2009, SAIS Review, VXXIX, P49, DOI [DOI 10.1353/SAIS.0.0028, 10.1353/sais.0.0028]
   Philippine GIS Data Clearinghouse (PHILGIS), 2011, COUNTR TOWNS CIT
   Philippine Statistics Authority, 2016, TOT NUMB OFWS EST 2
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   Porio E, 2012, SPACE POLITY, V16, P7, DOI 10.1080/13562576.2012.698128
   Porio E, 2011, ASIAN J SOC SCI, V39, P425, DOI 10.1163/156853111X597260
   Raquiza AR, 2017, PHILIPPINE POLITICAL, V35, P225
   Roberts B, 2011, PLANNING ASIAN CITIE, P287
   Robinson J, 2011, URBAN GEOGR, V32, P1087, DOI 10.2747/0272-3638.32.8.1087
   Roderos Ray Simon., 2013, Social Transformations, V1, P79, DOI DOI 10.13185/ST2013.01204
   Rodolfo KS, 2006, DISASTERS, V30, P118, DOI 10.1111/j.1467-9523.2006.00310.x
   Roxas F, 2010, ENERG POLICY, V38, P7269, DOI 10.1016/j.enpol.2010.08.003
   Sassen Saskia, 1991, GLOBAL CITY
   Schäffler A, 2013, ECOL ECON, V86, P246, DOI 10.1016/j.ecolecon.2012.05.008
   Seto KC, 2010, ANNU REV ENV RESOUR, V35, P167, DOI 10.1146/annurev-environ-100809-125336
   Sharma D, 2004, ENERG POLICY, V32, P1487, DOI 10.1016/S0301-4215(03)00120-4
   Shatkin G, 2005, PAC AFF, V78, P577, DOI 10.5509/2005784577
   Shatkin G, 2004, URBAN STUD, V41, P2469, DOI 10.1080/00420980412331297636
   Shatkin G, 2008, ENVIRON PLANN A, V40, P383, DOI 10.1068/a38439
   Shaw R, 2010, METRO MANILA CITY PR
   Silva JA, 2010, GEOGR J, V176, P6, DOI 10.1111/j.1475-4959.2009.00343.x
   Singru R. N., 2016, Manual for undertaking national urban assessments
   Tanner T., 2009, Urban Governance for Adaptation: Assessing Climate Change Resilience in Ten Asian Cities
   Tasan-Kok T., 2013, RESILIENCE THINKING, P39
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Tyner James A., 2006, Relocating Global Cities: From the Center to the Margins, P108
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Vespignani A, 2010, NATURE, V464, P984, DOI 10.1038/464984a
   Wenzel F, 2007, NAT HAZARDS, V42, P481, DOI 10.1007/s11069-006-9073-2
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   World Bank, 2013, CLIM CHANG KNOWL POR
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
   Zoleta-Nantes D.B., 2002, MITIG ADAPT STRAT GL, V7, P239, DOI DOI 10.1023/A:1024471412686
NR 107
TC 52
Z9 56
U1 10
U2 155
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 NOV
PY 2017
VL 49
IS 11
BP 2649
EP 2672
DI 10.1177/0308518X17723630
PG 24
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA FM4PM
UT WOS:000415001600013
DA 2025-04-22
ER

PT J
AU Chen, JQ
   Liu, XW
   Hu, XY
   Du, B
   Yin, Y
AF Chen, Jinqu
   Liu, Xiaowei
   Hu, Xinyue
   Du, Bo
   Yin, Yong
TI Resilience assessment of an urban rail transit network under natural
   disasters
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Urban rail transit; Resilience assessment; Natural disasters; Train
   schedule
ID METRO
AB Assessment of the resilience of an urban rail transit (URT) network under natural disasters is of practical importance, especially with the intensification of global warming. This study develops a train schedule-based resilience assessment model to assess the resilience of a URT network under natural disasters, addressing a critical gap in existing research that often ignores the influence of the train schedule on resilience assessment. Numerical experiments on the Chengdu Metro network demonstrate that the travel time-based performance indicator can effectively evaluate the network performance, revealing that the train schedule has a significant influence on the network's resilience. Counties Shuangliu and Wuhou are identified as the most important countylevel administrative districts in Chengdu during rainstorms and strong wind events, respectively. Furthermore, this study explores the influence of parameters on the network's resilience and provides some policy implications based on the results obtained from the sensitivity analysis.
C1 [Chen, Jinqu] Fujian Police Coll, Publ Secur Dept, Fuzhou 350007, Peoples R China.
   [Chen, Jinqu; Liu, Xiaowei; Hu, Xinyue; Yin, Yong] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 611756, Peoples R China.
   [Du, Bo] Griffith Univ, Dept Business Strategy & Innovat, Brisbane, Qld 4111, Australia.
   [Yin, Yong] Natl United Engn Lab Integrated & Intelligent Tra, Chengdu 611756, Peoples R China.
   [Yin, Yong] 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 Fujian Police College; Southwest Jiaotong University; Griffith
   University; 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 Liu, Xiaowei/HPG-4657-2023
FU National Key R & D Program of China [2022YFB4300503-1]; China
   Scholarship Council [202207000067]
FX This research was funded by the National Key R & D Program of China
   (2022YFB4300503-1) . The first author is deeply grateful for the
   financial support from the China Scholarship Council (202207000067) .
   Furthermore, the kind assistance of the operator from the Chengdu Metro
   is highly appreciated.
CR Besinovic N, 2020, TRANSPORT REV, V40, P457, DOI 10.1080/01441647.2020.1728419
   Bi W, 2024, TRANSPORT RES D-TR E, V134, DOI 10.1016/j.trd.2024.104263
   Cats O., 2021, HDB PUBLIC TRANSPORT, P226, DOI [10.4337/9781788978668.00020, DOI 10.4337/9781788978668.00020]
   Cats O, 2018, TRANSPORTMETRICA B, V6, P77, DOI 10.1080/21680566.2016.1267596
   Cats O, 2017, RELIAB ENG SYST SAFE, V167, P544, DOI 10.1016/j.ress.2017.07.009
   Chan R, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000200
   Chen JQ, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-8017
   Chen JQ, 2023, TRANSPORT RES D-TR E, V121, DOI 10.1016/j.trd.2023.103841
   [陈锦渠 Chen Jinqu], 2022, [安全与环境学报, Journal of Safety and Environment], V22, P2994
   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
   Chengdu Metro Operation Co. Ltd., 2017, Special Emergency Plan for Earthquakes and Severe Weather
   China Association of Metros, 2024, Annual Statistics and Analysis Report on Urban Rail Transit in 2023
   China State Railway Group Co. Ltd., 2014, Railway Technical Management Regulations
   Costa AL, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000277
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   Gao Y, 2017, TRANSPORT RES C-EMER, V81, P246, DOI 10.1016/j.trc.2017.06.005
   Global Modeling and Assimilation Office (GMAO), 2015, MERRA-2 tavg1_2d_lnd_Nx: 2d,1-Hourly, Time-Averaged, Single-Level, Assimilation, Land Surface Diagnostics V5.12.4, DOI 10.5067/RKPHT8KC1Y1T
   Hu JH, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16156390
   Huang P, 2019, INT J RAIL TRANSP, V7, P140, DOI 10.1080/23248378.2018.1520613
   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]
   Jenelius E., 2022, Rail Infrastructure Resilience, P65
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Liu J, 2023, J TRANSP ENG A-SYST, V149, DOI 10.1061/JTEPBS.TEENG-7691
   Liu J, 2022, TRANSPORTMETRICA B, V10, P667, DOI 10.1080/21680566.2022.2025953
   Lu QC, 2018, TRANSPORT RES A-POL, V117, P227, DOI 10.1016/j.tra.2018.08.015
   Ma Z, 2024, TRANSPORT RES D-TR E, V128, DOI 10.1016/j.trd.2024.104085
   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
   Ministry of Transport of the People's Republic of China, Implementation Opinions on Promoting Open Sharing of Data Resources in the Transportation Industry
   National Bureau of Statistics of China, 2024, China Statistical Bulletin of National Economic and Social Development of Ili Kazakh Autonomous Prefecture
   Ouyang M, 2019, RISK ANAL, V39, P180, DOI 10.1111/risa.12708
   Pan SZ, 2021, PHYSICA A, V581, DOI 10.1016/j.physa.2021.126235
   Qiu Y, 2010, SCAND J IMMUNOL, V72, P425, DOI 10.1111/j.1365-3083.2010.02456.x
   Sichuan Provincial Bureau of Statistics, 2023, Sichuan Statistical Yearbook of 2022
   Tang JQ, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107715
   Wang LB, 2024, FRONT ENG MANAG, V11, P79, DOI 10.1007/s42524-023-0291-z
   Wu HW, 2020, J RAIL TRANSPORT PLA, V16, DOI 10.1016/j.jrtpm.2020.100206
   Xiang H.-T., 2023, Smart Construction and Sustainable Cities, V1, P17, DOI 10.1007/s44268-023-00020-4
   Xu PC, 2024, RELIAB ENG SYST SAFE, V252, DOI 10.1016/j.ress.2024.110467
   Xu ZZ, 2022, IEEE T INTELL TRANSP, V23, P12688, DOI 10.1109/TITS.2021.3116667
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   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
NR 44
TC 0
Z9 0
U1 31
U2 31
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 FEB
PY 2025
VL 139
AR 104587
DI 10.1016/j.trd.2024.104587
EA JAN 2025
PG 18
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 U9O7B
UT WOS:001415002700001
DA 2025-04-22
ER

PT J
AU Ji, LL
   Gaur, A
   Voogt, J
   Krayenhoff, ES
AF Ji, Lili
   Gaur, Abhishek
   Voogt, James
   Krayenhoff, E. Scott
TI Strategic deployment of urban trees to achieve thermal resilience in a
   Canadian community
SO BUILDING SIMULATION
LA English
DT Article; Early Access
DE thermal resilience; urban tree deployment; tree canopy coverage;
   microclimate; building performance; heat stress
ID GREEN INFRASTRUCTURE; CLIMATE; VEGETATION; SIMULATION; IMPACT
AB Climate change and urban heat islands are intensifying the frequency and severity of heatwaves, emphasizing the need for resilient and sustainable strategies to cool urban outdoor and indoor spaces. Urban trees are identified as an effective solution, yet limited studies address how different tree deployment strategies enhance building thermal resilience against heatwaves. This study examines the impact of strategic urban tree deployment on building thermal resilience across a neighborhood in London, Canada. Two deployment strategies are assessed: a straightforward strategy based on outdoor temperature hotspots, and a more complex strategy based on building indoor heat stress. The analysis incorporates tree growth and its effect on canopy coverage. A coupled microclimate-building performance simulation evaluates outdoor and indoor thermal conditions, with thermal resilience quantified using a novel method integrating microclimate effects, heat stress intensity, and exposure duration. Results indicated that when canopy coverage increases from 6% to the Nature Canada-recommended 30%, both strategies achieve similar maximum reductions in building surrounding outdoor air temperature (4.0 degrees C) and Standard Effective Temperature (6.9 degrees C), as well as comparable reductions in indoor thermal stress. However, at lower canopy coverage levels (<= 20%), the indoor based strategy achieves a more uniform resilience distribution and enhances thermal resilience for the majority of buildings with poorer baseline conditions. At 30% canopy coverage and above, the differences between the two strategies become less pronounced, making tree deployment based on outdoor temperature hotspots a straightforward yet effective strategy for improving neighborhood thermal resilience.
C1 [Ji, Lili; Gaur, Abhishek] Nation Res Council Canada, Construction Res Ctr, Ottawa, ON, Canada.
   [Voogt, James] Western Univ, Dept Geog & Environm, London, ON, Canada.
   [Krayenhoff, E. Scott] Univ Guelph, Sch Environm Sci, Guelph, ON, Canada.
C3 Western University (University of Western Ontario); University of Guelph
RP Ji, LL (corresponding author), Nation Res Council Canada, Construction Res Ctr, Ottawa, ON, Canada.
EM Lili.Ji@nrc-cnrc.gc.ca
RI Ji, Lili/JXY-4187-2024
FU National Research Council Canada (NRCC) through the seventh wave of its
   Postdoctoral Fellowship (PDF) program; Climate Resilient Built
   Environment Initiative (CRBE) of NRCC; NSERC DG grant
FX This research was funded by the National Research Council Canada (NRCC)
   through the seventh wave of its Postdoctoral Fellowship (PDF) program,
   and received support from Climate Resilient Built Environment Initiative
   (CRBE) of NRCC. The traverse data collection was supported by an NSERC
   DG grant to Prof. James Voogt. We also extend our appreciation to Dr.
   Chang Shu, Dr. Abdelaziz Laouadi, and Dr. Michal Bartko for their
   guidance in software usage.
CR Abd Elraouf R, 2022, J BUILD PERFORM SIMU, V15, P268, DOI 10.1080/19401493.2022.2046165
   Amitrano C, 2019, ANN APPL BIOL, V175, P313, DOI 10.1111/aab.12544
   ASHRAE, 2017, Thermal environmental conditions for human occupancy
   Astell-Burt T, 2020, SSM-POPUL HLTH, V10, DOI 10.1016/j.ssmph.2019.100497
   Astell-Burt T, 2020, INT J EPIDEMIOL, V49, P926, DOI 10.1093/ije/dyz239
   Attia S, 2021, ENERG BUILDINGS, V239, DOI 10.1016/j.enbuild.2021.110869
   Birkmann J, 2022, SCI TOTAL ENVIRON, V803, DOI 10.1016/j.scitotenv.2021.150065
   Cabinet Office, 2011, Improving the UKs ability to absorb, respond to and recover from emergencies
   Coutts AM, 2016, THEOR APPL CLIMATOL, V124, P55, DOI 10.1007/s00704-015-1409-y
   Darvish A, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100861
   DOE, 2024, EnergyPlus
   ENVI-met, 2024, ENVI-met
   Environment and Climate Change, 2024, Historical Data
   Erell E, 2022, BUILD ENVIRON, V213, DOI 10.1016/j.buildenv.2022.108867
   Ge JJ, 2023, BUILD ENVIRON, V232, DOI 10.1016/j.buildenv.2023.110054
   Guo WH, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108420
   Hadavi M, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102740
   Hao TP, 2023, URBAN FOR URBAN GREE, V86, DOI 10.1016/j.ufug.2023.128017
   Homaei S, 2021, BUILD ENVIRON, V201, DOI 10.1016/j.buildenv.2021.108022
   Hong TZ, 2023, BUILD ENVIRON, V244, DOI 10.1016/j.buildenv.2023.110806
   Hsieh CM, 2018, ENERG BUILDINGS, V159, P382, DOI 10.1016/j.enbuild.2017.10.045
   Huang HG, 2015, INT GEOSCI REMOTE SE, P1642, DOI 10.1109/IGARSS.2015.7326100
   Iungman T, 2023, LANCET, V401, P577, DOI 10.1016/S0140-6736(22)02585-5
   Jaffal I, 2012, RENEW ENERG, V43, P157, DOI 10.1016/j.renene.2011.12.004
   Ji LL, 2024, BUILD ENVIRON, V257, DOI 10.1016/j.buildenv.2024.111524
   Ji LL, 2023, BUILD ENVIRON, V229, DOI 10.1016/j.buildenv.2022.109914
   Konijnendijk CC, 2023, J FORESTRY RES, V34, P821, DOI 10.1007/s11676-022-01523-z
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Krayenhoff ES, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdcf1
   Krayenhoff ES, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100590
   Krayenhoff ES, 2018, NAT CLIM CHANGE, V8, P1097, DOI 10.1038/s41558-018-0320-9
   Krelling AF, 2023, BUILD ENVIRON, V245, DOI 10.1016/j.buildenv.2023.110887
   Laouadi A, 2020, J BUILD PERFORM SIMU, V13, P301, DOI 10.1080/19401493.2020.1727954
   Laouadi A., 2022, Guideline for management of overheating risk in residential buildings
   Li YN, 2023, BUILD ENVIRON, V233, DOI 10.1016/j.buildenv.2023.110100
   LINDENMAYER A, 1968, J THEOR BIOL, V18, P300, DOI 10.1016/0022-5193(68)90080-5
   Locke DH, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e25041
   Lu Henry, 2023, Sustainable Cities and Society, DOI 10.1016/j.scs.2023.104925
   Makvandi M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061662
   MCPHERSON EG, 1988, ENERG BUILDINGS, V12, P41, DOI 10.1016/0378-7788(88)90054-0
   Meili N, 2021, URBAN FOR URBAN GREE, V58, DOI 10.1016/j.ufug.2020.126970
   Morakinyo TE, 2016, BUILD ENVIRON, V103, P262, DOI 10.1016/j.buildenv.2016.04.025
   Muñoz-Pichardo JM, 2021, MATHEMATICS-BASEL, V9, DOI 10.3390/math9141616
   Natural Resources Canada, 2022, Canadian Weather Energy and Engineering Datasets (CWEEDS)
   Nature Canada, 2022, Nature-Canada-Report-Tree-Equity
   NRC, 2017, National Energy Code of Canada for Buildings
   NRC (National Research Council of Canada), 2015, National Building Code of Canada 2015
   Ouyang WL, 2020, BUILD ENVIRON, V174, DOI 10.1016/j.buildenv.2020.106772
   Rahif R, 2022, BUILD ENVIRON, V208, DOI 10.1016/j.buildenv.2021.108599
   Rahmfeld R, 2001, PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON FLUID POWER TRANSMISSION AND CONTROL (ICFP'2001), P296
   Shaamala A, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2024.105182
   Shu C., 2016, Proceedings of the 8th Asian Conference on Refrigeration and Air Conditioning (ACRA2016)
   Shu C., 2023, P 5 INT C BUILDING E
   Shu C, 2023, SCI TOTAL ENVIRON, V890, DOI 10.1016/j.scitotenv.2023.164497
   Shu C, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108415
   Simon H., 2016, Modeling urban microclimate: development, implementation and evaluation of new and improved calculation methods for the urban microclimate model ENVI-met, DOI [10.25358/openscience-4042, DOI 10.25358/OPENSCIENCE-4042]
   Sinsel T., 2021, Advancements and applications of the microclimate model ENVI-met
   Tsoka S, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102633
   Wang HT, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100865
   Wu ZF, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101711
   Yang JY, 2021, URBAN FOR URBAN GREE, V66, DOI 10.1016/j.ufug.2021.127384
   Yang XS, 2013, BUILD ENVIRON, V60, P93, DOI 10.1016/j.buildenv.2012.11.008
   Yang YB, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010057
   Zhang C, 2021, ENERG BUILDINGS, V251, DOI 10.1016/j.enbuild.2021.111312
   Zheng X, 2023, BUILD ENVIRON, V228, DOI 10.1016/j.buildenv.2022.109815
   Zhu S, 2022, LANDSCAPE URBAN PLAN, V228, DOI 10.1016/j.landurbplan.2022.104576
   Ziter CD, 2019, P NATL ACAD SCI USA, V116, P7575, DOI 10.1073/pnas.1817561116
NR 67
TC 0
Z9 0
U1 0
U2 0
PU TSINGHUA UNIV PRESS
PI BEIJING
PA B605D, XUE YAN BUILDING, BEIJING, 100084, PEOPLES R CHINA
SN 1996-3599
EI 1996-8744
J9 BUILD SIMUL-CHINA
JI Build. Simul.
PD 2025 APR 2
PY 2025
DI 10.1007/s12273-025-1261-7
EA APR 2025
PG 20
WC Thermodynamics; Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Construction & Building Technology
GA 0WV8Q
UT WOS:001457923300001
OA hybrid
DA 2025-04-22
ER

PT J
AU Jiménez, M
   Pérez-Belmont, P
   Schewenius, M
   Lerner, AM
   Mazari-Hiriart, M
AF Jimenez, Marcela
   Perez-Belmont, Patricia
   Schewenius, Maria
   Lerner, Amy M.
   Mazari-Hiriart, Marisa
TI Assessing the historical adaptive cycles of an urban social-ecological
   system and its potential future resilience: the case of Xochimilco,
   Mexico City
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Urban resilience; Adaptive cycles; Peri-urban; Wetland; Mexico City;
   Xochimilco
ID BIODIVERSITY; URBANIZATION; MANAGEMENT; EXPANSION; AREA
AB As the bulk of the world's population becomes urban, maintaining urban ecosystem services for environmental and social well-being in cities is crucial. According to resilience theory, maintaining such services requires for a complex adaptive systems perspective that helps in identifying key elements and dynamics behind cross-scale social-ecological interactions. In this context, the objective of this article is to use a resilience "lens" to problematize the imminent loss of an urban wetland using the adaptive cycle model as a heuristic tool. Our case study focuses on the Xochimilco wetland, located in the southern periphery of Mexico City. Xochimilco is characterized by the presence of a complex system of raised bed wetland agriculture (the chinampa system), which was established over 1000 years ago; currently, despite having a recognized cultural and environmental value, it is threatened by increasing urban sprawl, over-exploitation of the aquifer, and water contamination. By conducting a historical analysis of the Xochimilco social-ecological system, we assess how it has gone through phases of the adaptive cycle. As a result, we identify critical elements of the system's historically maintained resilience and main drivers of system change. From such findings, we present some insights on the possibilities of maintaining the system's resilience and guidance for future management strategies for the Xochimilco wetland. Lastly, we reflect on the scope and limitations of using a resilience-based approach and an adaptive cycle analysis for addressing urban sustainability problems, especially in cities in the Global South.
C1 [Jimenez, Marcela; Perez-Belmont, Patricia] Univ Nacl Autonoma Mexico, Posgrad Ciencias Sostenibilidad, Mexico City, DF, Mexico.
   [Schewenius, Maria] Univ Stockholm, Stockholm Resilience Ctr, Stockholm, Sweden.
   [Schewenius, Maria] Univ Gavle, Gavle, Sweden.
   [Lerner, Amy M.; Mazari-Hiriart, Marisa] Univ Nacl Autonoma Mexico, Lab Nacl Ciencias Sostenibilidad, Inst Ecol, AP 70-275 Circuito Exterior,Ciudad Univ, Mexico City 04510, DF, Mexico.
C3 Universidad Nacional Autonoma de Mexico; Stockholm University;
   University of Gavle; Universidad Nacional Autonoma de Mexico
RP Lerner, AM (corresponding author), Univ Nacl Autonoma Mexico, Lab Nacl Ciencias Sostenibilidad, Inst Ecol, AP 70-275 Circuito Exterior,Ciudad Univ, Mexico City 04510, DF, Mexico.
EM marcela.jimm@gmail.com; patypebel@gmail.com; maria.schewenius@su.se;
   amy.lerner@iecologia.unam.mx; mazari@unam.mx
OI Schewenius, Maria/0000-0002-7122-6790; Jimenez-Moreno,
   Marcela/0000-0002-7723-2702
FU UNAM-DGAPA-PAPIIT [IA301117]
FX This study was funded by UNAM-DGAPA-PAPIIT No. IA301117.
CR Aguilar A, 2006, XOCHIMILCO PROCESO G
   Aguilar AG, 2008, CITIES, V25, P133, DOI 10.1016/j.cities.2008.02.003
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alberti M, 2018, DYNAMIC URBAN PLAN 1
   Allen A, 2003, ENVIRON URBAN, V15, P135, DOI 10.1177/095624780301500103
   Anderies JM, 2006, ECOL SOC, V11
   [Anonymous], 2017, AN EST GEOGR CIUD ME
   [Anonymous], 2012, ENCY THEORETICAL ECO
   Arechiga E, 2004, ORILLA AGUA POLITICA
   ARMILLAS P, 1971, SCIENCE, V174, P653, DOI 10.1126/science.174.4010.653
   Bai XM, 2016, CURR OPIN ENV SUST, V23, P69, DOI 10.1016/j.cosust.2016.11.010
   Berkes F., 2000, Linking social and ecological systems: Management practices and social mechanisms for building resilience
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Calnek E, 1972, CHINAMPAS PREHISPANI
   Canabal Cristiani B, 1992, CIUDAD SUS CHINAMPAS
   Chaussard E, 2014, REMOTE SENS ENVIRON, V140, P94, DOI 10.1016/j.rse.2013.08.038
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Díaz S, 2006, PLOS BIOL, V4, P1300, DOI 10.1371/journal.pbio.0040277
   Eakin H, 2019, ECOL SOC, V24, DOI 10.5751/ES-11030-240315
   Eakin H, 2017, P NATL ACAD SCI USA, V114, P186, DOI 10.1073/pnas.1620081114
   Elias M., 2018, Journal of Gender, Agriculture and Food Security, V3, P82, DOI DOI 10.19268/JGAFS.312018.4
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Ezcurra E., 2006, La Cuenca de Mexico
   Ezcurra Exequiel., 1990, De las Chinampas a la Megalopolis
   Fath BD, 2015, ECOL SOC, V20, DOI 10.5751/ES-07467-200224
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   García-Ayllón S, 2016, HABITAT INT, V58, P127, DOI 10.1016/j.habitatint.2016.10.005
   Gobierno del Distrito Federal, 2012, ATL GEOGR SUEL CONS
   Gobierno del Distrito Federal, 2006, AC QUE SE APR PROGR
   Gonzalez JA, 2008, ECOL SOC, V13
   Gonzalez-Pozo A., 2016, CHINAMPAS XOCHIMILCO
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hernandez H, 2003, XOCHIMILCO AYER
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kay C., 2015, European Review of Latin American and Caribbean Studies, P73
   Lankao PR, 2011, CURR OPIN ENV SUST, V3, P142, DOI 10.1016/j.cosust.2010.12.016
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lerner AM, 2018, CITIES, V83, P61, DOI 10.1016/j.cities.2018.06.009
   Lerner AM, 2013, J RURAL STUD, V30, P52, DOI 10.1016/j.jrurstud.2012.11.001
   Lerner AM, 2011, GEOGR J, V177, P311, DOI 10.1111/j.1475-4959.2010.00394.x
   Mazari-Hiriart M, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002305
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Merlin-Uribe Y, 2009, THESIS
   Merlín-Uribe Y, 2013, INT J AGR SUSTAIN, V11, P216, DOI 10.1080/14735903.2012.726128
   Merlín-Uribe Y, 2013, J ENVIRON PLANN MAN, V56, P398, DOI 10.1080/09640568.2012.683686
   Moglia M, 2018, GLOBAL ENVIRON CHANG, V50, P222, DOI 10.1016/j.gloenvcha.2018.04.009
   Nagendra H, 2018, NAT SUSTAIN, V1, P341, DOI 10.1038/s41893-018-0101-5
   Penafiel Antonio., 1884, MEMORIA AGUAS POTABL
   Pickett STA, 2011, J ENVIRON MANAGE, V92, P331, DOI 10.1016/j.jenvman.2010.08.022
   Rojas T, 1995, PRESENTE PASADO FUTU
   Romero P, 2004, ORILLA AGUA POLITICA
   Sanders WilliamT., 1976, The Valley of Mexico: Studies in prehispanic ecology and society
   Scheffer M, 2012, SCIENCE, V338, P344, DOI 10.1126/science.1225244
   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
   Toyzan C, 2015, GROWING GREENS GOING
   Villagran A, RESTAURACION ECOLOGI
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2006, ECOL SOC, V11
   Walters C. J., 1986, ADAPTIVE MANAGEMENT
   Wigle J, 2010, CITIES, V27, P337, DOI 10.1016/j.cities.2010.04.003
   Zabaleta D, 2010, PROYECTO UNESCO XOCH
NR 62
TC 33
Z9 33
U1 13
U2 101
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 FEB 4
PY 2020
VL 20
IS 1
AR 7
DI 10.1007/s10113-020-01587-9
PG 14
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA KV4PY
UT WOS:000520465300002
DA 2025-04-22
ER

PT J
AU Vieira, LC
   Serrao-Neumann, S
   Howes, M
AF Vieira, Leticia Canal
   Serrao-Neumann, Silvia
   Howes, Michael
TI Local Action with a Global Vision: The Transformative Potential of Food
   Social Enterprises in Australia
SO SUSTAINABILITY
LA English
DT Article
DE alternative food networks; new localism; niche innovation; resilience;
   transition; urban food system
ID SUSTAINABILITY; SYSTEMS; COMMUNITY; TRANSITIONS; RESILIENCE; NETWORKS
AB There is an urgent need to make food systems more sustainable and resilient. Such a transformation goes beyond technological innovation and requires economic and social change. Research interest in the transformative potential of community level action has increased. Food social enterprises often operate at the community level and consist of not-for-profit organisations that aim to make a positive contribution to social justice and environmental sustainability. The question addressed in this paper is whether these social enterprises are limited to isolated improvements or have the capacity to transform food systems more widely. This paper uses a multi-dimensional framework (involving the social setting, operational models, governance, and institutional context) to analyse the transformative potential of eight food social enterprises in the Australian cities of Brisbane and Melbourne. The analysis indicates that these enterprises create social networks, pursue agendas aligned with a global vision of transformation, and include a diversity of stakeholders. Their operational models are consistent with the goals of environmental sustainability and social justice. Their governance involves equality, transparency, and flexibility. In the institutional context, support from public policy is limited and there is a need to improve their engagement with governmental actors. While food social enterprises are well placed in the quest to make food systems more consistent with ecological dynamics and social justice, they need to engage in greater advocacy for institutional change in order to maximise their transformative potential.
C1 [Vieira, Leticia Canal] Griffith Univ, Cities Res Inst, Nathan Campus,170 Kessels Rd, Brisbane, Qld 4111, Australia.
   [Serrao-Neumann, Silvia] Univ Waikato, Fac Arts & Social Sci, Hamilton 3240, New Zealand.
   [Howes, Michael] Griffith Univ, Sch Environm & Sci, Cities Res Inst, Gold Coast Campus,Parklands Dr, Brisbane, Qld 4222, Australia.
C3 Griffith University; University of Waikato; Griffith University
RP Howes, M (corresponding author), Griffith Univ, Sch Environm & Sci, Cities Res Inst, Gold Coast Campus,Parklands Dr, Brisbane, Qld 4222, Australia.
EM leticiacvieira@gmail.com; s.neumann@waikato.ac.nz;
   m.howes@griffith.edu.au
RI Howes, Michael/S-2804-2019; Vieira, Letícia/Y-8700-2019; Serrao-Neumann,
   Silvia/K-2470-2012
OI Canal Vieira, Leticia/0000-0001-5810-8565; Howes,
   Michael/0000-0003-1102-1483; Serrao-Neumann, Silvia/0000-0001-9601-4914
FU GUIPRS Scholarship scheme
FX This research is part of L.C.V.'s PhD and was funded by the GUIPRS
   Scholarship scheme.
CR Alroe HF, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030332
   Alteri MA, 2002, AGR ECOSYST ENVIRON, V93, P1, DOI 10.1016/S0167-8809(02)00085-3
   Anderson M.D., 2015, Journal of Environmental Studies and Sciences, V5, P543, DOI [10.1007/s13412-015-0311-3, DOI 10.1007/S13412-015-0311-3]
   [Anonymous], DEV CHANGE
   [Anonymous], 2019, NVivo
   Barbera F, 2016, AGRIC AGRIC SCI PROC, V8, P324, DOI 10.1016/j.aaspro.2016.02.027
   Béné C, 2019, WORLD DEV, V113, P116, DOI 10.1016/j.worlddev.2018.08.011
   Berkes F, 2007, J ENTERP COMMUNITIES, V1, P209, DOI 10.1108/17506200710779521
   Berno T, 2017, J ENTERP COMMUNITIES, V11, P149, DOI 10.1108/JEC-01-2015-0013
   Berti G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070616
   Blay-Palmer A, 2016, AGR HUM VALUES, V33, P27, DOI 10.1007/s10460-015-9592-0
   Booth S, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102086
   Byrne D., 2016, Data Analysis and Interpretation
   Campbell H, 2009, AGR HUM VALUES, V26, P309, DOI 10.1007/s10460-009-9215-8
   Carolan M, 2017, RURAL SOCIOL, V82, P197, DOI 10.1111/ruso.12120
   Caron P, 2018, AGRON SUSTAIN DEV, V38, DOI 10.1007/s13593-018-0519-1
   Clark JK, 2017, AGR HUM VALUES, V34, P301, DOI 10.1007/s10460-016-9715-2
   Connelly S, 2011, CRIT SOC POLICY, V31, P308, DOI 10.1177/0261018310396040
   de Coninck H., 2018, Strengthening and Implementing the Global Response, P132
   Dedeurwaerdere T, 2017, ECOL ECON, V140, P123, DOI 10.1016/j.ecolecon.2017.04.018
   Ericksen PJ, 2009, ENVIRON SCI POLICY, V12, P373, DOI 10.1016/j.envsci.2009.04.007
   Folke C., 2016, OXF RES ENCYCL ENV S
   Folke C, 2010, ECOL SOC, V15
   Forssell S, 2015, AGR HUM VALUES, V32, P63, DOI 10.1007/s10460-014-9516-4
   Franklin A, 2011, LOCAL ENVIRON, V16, P771, DOI [10.11080/13549839.2011.574685, 10.1080/13549839.2011.574685]
   Friedmann H, 2008, J AGRAR CHANGE, V8, P408, DOI 10.1111/j.1471-0366.2008.00175.x
   Hebinck A, 2018, ECOL SOC, V23, DOI 10.5751/ES-10054-230216
   Himanen SJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08878-210441
   Hinrichs CC, 2014, AGR HUM VALUES, V31, P143, DOI 10.1007/s10460-014-9479-5
   Hölscher K, 2018, ENVIRON INNOV SOC TR, V27, P1, DOI 10.1016/j.eist.2017.10.007
   Hvitsand C, 2016, AGROECOL SUST FOOD, V40, P333, DOI 10.1080/21683565.2015.1136720
   IPES-FOOD, 2016, IPES-Food
   IPES-Food, 2017, UNR FOOD HLTH NEX AD, P120
   Johanisova N, 2013, J CLEAN PROD, V38, P7, DOI 10.1016/j.jclepro.2012.01.004
   Knickel K, 2018, J RURAL STUD, V59, P197, DOI 10.1016/j.jrurstud.2017.04.012
   Lara LG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051222
   Loh P, 2019, GEOFORUM, V99, P213, DOI 10.1016/j.geoforum.2018.08.017
   MacMahon A, 2015, J ENV STUDIES SCI, V53, P378, DOI 10.1007/s13412-015- 0278-0
   Marsden T, 2018, FOOD SECUR, V10, P1301, DOI 10.1007/s12571-018-0870-8
   Moore ML, 2014, ECOL SOC, V19, DOI 10.5751/ES-06966-190454
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Patton M.Q., 2015, Qualitative research evaluation methods: Integrating theory and practice, V4th, DOI [10.1177/1098214016689486, DOI 10.1177/1098214016689486]
   Rut M, 2018, GEOFORUM, V96, P278, DOI 10.1016/j.geoforum.2018.07.016
   Sage C, 2014, J CONSUM CULT, V14, P254, DOI 10.1177/1469540514526281
   Smith K, 2016, AGR HUM VALUES, V33, P45, DOI 10.1007/s10460-015-9603-1
   Sonnino R, 2013, ENTREP REGION DEV, V25, P272, DOI 10.1080/08985626.2012.710268
   Toth A, 2016, URBAN ECOSYST, V19, P19, DOI 10.1007/s11252-015-0489-x
   van den Bosch S., 2008, DEEPENING BROADENING, DOI 10.1016/j.urbmob.2022.100015
   Walker B, 2006, ECOL SOC, V11
   Walsh-Dilley M, 2016, ECOL SOC, V21, DOI 10.5751/ES-07981-210111
   Wezel A, 2009, AGRON SUSTAIN DEV, V29, P503, DOI 10.1051/agro/2009004
   Wills B, 2017, FOOD POLICY, V70, P62, DOI 10.1016/j.foodpol.2017.06.001
   Yin R.K., 2014, Applications of case study research, V2nd
NR 53
TC 5
Z9 7
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 DEC
PY 2019
VL 11
IS 23
AR 6756
DI 10.3390/su11236756
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 KD9MV
UT WOS:000508186400228
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Zhao, YG
   Yang, XD
   Zhai, CH
   Wen, WP
AF Zhao, Yonggang
   Yang, Xiaodong
   Zhai, Changhai
   Wen, Weiping
TI Exploring relationships of urban seismic resilience assessment
   indicators with a fuzzy total interpretive structural model method
SO ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
LA English
DT Article
DE Earthquake; Resilience assessment; Indicator; Total interpretive
   structure model
ID COMMUNITY RESILIENCE; NATURAL HAZARDS; EARTHQUAKE; TISM; FRAMEWORK;
   RECOVERY; SYSTEM; DIVERSIFICATION; VULNERABILITY; DYNAMICS
AB Purpose The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators. Design/methodology/approach To achieve this aim, construction of the urban seismic resilience assessment indicators system was conducted and 20 indicators covering five dimensions, namely building and lifeline infrastructure, environment, society, economy and institution were identified. Following this, this study used evidence fusion theory and intuitionistic fuzzy sets to process the information from experts then developed the fuzzy total interpretive structure model. Findings A total of 20 urban seismic resilience assessment indicators are reconstructed into a hierarchical and visual system structure including five levels. Indicators in the bottom level including debris flow risk, landslide risk, earthquake experience and demographic characteristics are fundamental indicators that significantly impact other indicators. Indicators in the top level including open space, gas system and public security are direct indicators influenced more by other indicators. Other indicators are in middle levels. Results of MICMAC analysis visually categorize these indicators into independent indicators, linkage indicators, autonomous indicators and dependent indicators according to driving power and dependence. Originality/value This paper attempts to explore relationships of urban seismic resilience assessment indicators with the interpretive structural model method. Additionally, Fuzzy total interpretive structure model is developed combined with evidence fusion theory and intuitionistic fuzzy sets, which is the extension of total interpretive structure model. Research results can assist the analytic network process method in assessing urban seismic resilience in future research.
C1 [Zhao, Yonggang; Yang, Xiaodong; Zhai, Changhai; Wen, Weiping] Harbin Inst Technol, Minist Educ, Key Lab Struct Dynam Behav & Control, Harbin, Peoples R China.
   [Zhao, Yonggang; Yang, Xiaodong; Zhai, Changhai; Wen, Weiping] Harbin Inst Technol, Key Lab Smart Prevent & Mitigat Civil Engn Disast, Minist Ind & Informat Technol, Harbin, Peoples R China.
   [Yang, Xiaodong] Harbin Inst Technol, Sch Civil Engn, Harbin, Peoples R China.
C3 Harbin Institute of Technology; Harbin Institute of Technology; Harbin
   Institute of Technology
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, Key Lab Smart Prevent & Mitigat Civil Engn Disast, Minist Ind & Informat Technol, Harbin, Peoples R China.
EM zch-hit@hit.edu.cn
RI 温, 家琦/GYV-3177-2022
FU National Natural Science Foundation of China [51825801, U1939210,
   71974047, 52178469]; Natural Science Foundation of Heilongjiang Province
   [LH2021E075, LH2019G006]; China Postdoctoral Science Foundation
   [2016M601430]; Heilongjiang Postdoctoral Science Foundation [LBH-Z16085]
FX This investigation is supported by the National Natural Science
   Foundation of China (No. 51825801, U1939210, 71974047 and 52178469),
   Natural Science Foundation of Heilongjiang Province (No. LH2021E075,
   LH2019G006), China Postdoctoral Science Foundation (No. 2016M601430) and
   Heilongjiang Postdoctoral Science Foundation (No. LBH-Z16085). These
   supports are greatly appreciated. The authors also gratefully appreciate
   editors and reviewers for their efforts of this paper.
CR 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
   Allan P., 2010, P 2010 NZSEE C, P1
   Alshehri SA, 2015, NAT HAZARDS, V78, P395, DOI 10.1007/s11069-015-1719-5
   Atanassov K. T., 1986, Fuzzy Sets and Systems, V20, P87, DOI 10.1016/S0165-0114(86)80034-3
   Atrachali M, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101231
   Balaei B, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000292
   Bamel N, 2019, BENCHMARKING, V26, P97, DOI 10.1108/BIJ-02-2018-0041
   Banica A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020270
   Basher R, 2006, PHILOS T R SOC A, V364, P2167, DOI 10.1098/rsta.2006.1819
   Becker D., 2015, GUIDELINES DEV INDIC, P128
   BREWER HL, 1985, J REGIONAL SCI, V25, P463, DOI 10.1111/j.1467-9787.1985.tb00314.x
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   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
   Carvalho R, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090265
   Ceferino L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18072-w
   China Electric Power Research Institute, 2008, PREL INV REP DIS SIT
   Cimellaro GP, 2010, STRUCT INFRASTRUCT E, V6, P127, DOI 10.1080/15732470802663847
   Comes T, 2019, SUSTAIN RESIL INFRAS, V4, P124, DOI 10.1080/23789689.2017.1405653
   Cremen G, 2020, EARTH-SCI REV, V205, DOI 10.1016/j.earscirev.2020.103184
   Cui P, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101880
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dempster AP, 2008, STUD FUZZ SOFT COMP, V219, P57
   Department of Homeland Security (DHS), 2016, DRAFT INT CONC COMM
   DIAMOND CA, 1990, J LABOR ECON, V8, P175, DOI 10.1086/298219
   Didier M, 2018, J STRUCT ENG, V144, DOI 10.1061/(ASCE)ST.1943-541X.0002007
   Dubey R., 2014, Global Journal of Flexible Systems Management, V15, P131, DOI [10.1007/s40171-014-0058-9, DOI 10.1007/S40171-014-0058-9]
   Egbelakin T, 2017, NAT HAZARDS REV, V18, DOI 10.1061/(ASCE)NH.1527-6996.0000249
   Faturechi R, 2014, COMPUT-AIDED CIV INF, V29, P572, DOI 10.1111/mice.12027
   Franchin P, 2015, COMPUT-AIDED CIV INF, V30, P583, DOI 10.1111/mice.12092
   French EL, 2019, INT J DISAST RISK RE, V34, P1, DOI 10.1016/j.ijdrr.2018.11.001
   Gu Y, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.11.003
   Han Z, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030914
   Hiete M, 2012, OR SPECTRUM, V34, P971, DOI 10.1007/s00291-011-0269-9
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Jain V, 2015, INT J SYST ASSUR ENG, V6, P350, DOI 10.1007/s13198-015-0368-0
   Khanmohammadi S, 2018, INT J DISAST RISK RE, V31, P220, DOI 10.1016/j.ijdrr.2018.05.006
   Khatwani G., 2015, Global Journal of Flexible Systems Management, V16, P97, DOI DOI 10.1007/S40171-014-0087-4
   Koren D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11215942
   KORT JR, 1981, LAND ECON, V57, P596, DOI 10.2307/3145674
   Lanzano G, 2014, B GEOFIS TEOR APPL, V55, P215, DOI 10.4430/bgta0095
   Li XL, 2016, INT J DISAST RISK SC, V7, P393, DOI 10.1007/s13753-016-0109-2
   Liu Y, 2018, NAT HAZARDS, V91, P587, DOI 10.1007/s11069-017-3142-6
   Mohanty M, 2017, TRANSPORT RES D-TR E, V53, P471, DOI 10.1016/j.trd.2017.04.034
   Nasim S., 2011, Journal of Enterprise Transformation, V1, P147, DOI [10.1080/19488289.2011.579229, DOI 10.1080/19488289.2011.579229]
   Nojima N., 2012, PROC 15 WORLD C EART, P24
   Parizi SM, 2021, NAT HAZARDS, V109, P725, DOI 10.1007/s11069-021-04855-x
   Prakash KA, 2016, MATH SCI, V10, P177, DOI 10.1007/s40096-016-0192-y
   Prasad U.C., 2011, GLOBAL J FLEXIBLE SY, V12, P31, DOI [10.1007/bf03396605, DOI 10.1007/BF03396605]
   Salimi M, 2020, ENERGY, V200, DOI 10.1016/j.energy.2020.117509
   Sandbhor S, 2014, CONSTR ECON BUILD, V14, P20, DOI 10.5130/ajceb.v14i1.3753
   Sen MK, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125526
   Shafer G., 1976, A Mathematical Theory of Evidence
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Shibin KT, 2017, SUSTAIN PROD CONSUMP, V12, P104, DOI 10.1016/j.spc.2017.06.003
   Shiwaku K, 2016, NAT HAZARDS, V82, P333, DOI 10.1007/s11069-016-2204-5
   Sim T, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041137
   SIMON CJ, 1988, Q J ECON, V103, P715, DOI 10.2307/1886071
   Sindhwani R, 2017, BENCHMARKING, V24, P467, DOI 10.1108/BIJ-09-2015-0092
   Singh AK, 2013, INT J PRODUCT PERFOR, V62, P250, DOI 10.1108/17410401311309177
   Song JL, 2020, SOC INDIC RES, V148, P189, DOI 10.1007/s11205-019-02188-8
   Srivastava AK, 2013, INT J PRODUCT PERFOR, V62, P554, DOI 10.1108/IJPPM-11-2012-0121
   Sushil, 2012, GLOBAL J FLEXIBLE SY, V13, P87, DOI [DOI 10.1007/S40171-012-0008-3, 10.1007/S40171-012-0008-3, 10.1007/s40171-012-0008-3]
   Tan YS, 2019, IEEE T POWER SYST, V34, P2611, DOI 10.1109/TPWRS.2019.2898966
   Tao ZR, 2010, HUM ECOL RISK ASSESS, V16, P524, DOI 10.1080/10807031003788634
   Walker BB, 2014, NAT HAZARDS, V74, P1209, DOI 10.1007/s11069-014-1240-2
   Wang JH, 2020, IEEE POWER ENERGY M, V18, P17, DOI 10.1109/MPE.2020.2985436
   WARFIELD JN, 1974, IEEE T SYST MAN CYB, VSMC4, P405, DOI 10.1109/TSMC.1974.4309336
   Wasuja S, 2012, INT J PHARM HEALTHC, V6, P310, DOI 10.1108/17506121211283217
   Xu C, 2013, Q J ENG GEOL HYDROGE, V46, P221, DOI 10.1144/qjegh2012-006
   Yadav N, 2014, INT J PRODUCT PERFOR, V63, P421, DOI 10.1108/IJPPM-04-2013-0081
   Yergin Daniel., 2011, The Quest: Energy, Security, and the Remaking of the Modern World
   ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X
   Zang H., 2019, COMPUTER SCI, V46, P102
   Zhang N, 2018, RISK ANAL, V38, P31, DOI 10.1111/risa.12807
   Zhang WL, 2017, STRUCT INFRASTRUCT E, V13, P1404, DOI 10.1080/15732479.2016.1271813
   Zhao YG, 2019, ENTROPY-SWITZ, V21, DOI 10.3390/e21111122
   Zhou K, 2020, J GEOGR SCI, V30, P1363, DOI 10.1007/s11442-020-1786-8
NR 80
TC 5
Z9 6
U1 12
U2 131
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 0969-9988
EI 1365-232X
J9 ENG CONSTR ARCHIT MA
JI Eng. Constr. Archit. Manag.
PD SEP 1
PY 2023
VL 30
IS 8
SI SI
BP 3509
EP 3538
DI 10.1108/ECAM-09-2021-0806
EA MAR 2022
PG 30
WC Engineering, Industrial; Engineering, Civil; Management
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Business & Economics
GA Q8HL4
UT WOS:000775797100001
DA 2025-04-22
ER

PT J
AU Farhadi, E
   Pourahmad, A
   Ziari, K
   Sabokbar, HF
   Tondelli, S
AF Farhadi, Ebrahim
   Pourahmad, Ahmad
   Ziari, Keramatollah
   Sabokbar, Hassanali Faraji
   Tondelli, Simona
TI Indicators Affecting the Urban Resilience with a Scenario Approach in
   Tehran Metropolis
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; physical dimensions; Delphi; MicMac; Tehran metropolis
ID SUSTAINABILITY; FRAMEWORK; CITY
AB Urban resilience refers to the capacity of an urban system to fully recover from unforeseen calamities. This study aims to assess the physical resilience indicators used to measure urban resilience in Tehran, the political and economic capital of Iran, and to pinpoint the most significant direct and indirect influences on urban resilience. The research process divided into two parts. The environmental scanning approach (reviewing papers and published sources, interviewing specialists, and monitoring conferences) and the literature review were employed in the first part to compile a database of the key information on the elements impacting physical resilience. The most significant factors impacting physical resilience over the next ten years were requested to be identified by specialists and intellectuals in the second part. Finally, the MicMac program was used to analyze the data after 29 variables were specified in Delphi. In light of the trace-analysis-dependence diagram, which depicts the instability of the influential factors and the persistence of their impact on other variables, the results demonstrate that Tehran's physical resilience is in an unstable condition. According to the results, the factors that have the maximum impact on other variables are granularity drivers, emergency evacuation capacity, rescue and security spaces (emergency, fire station, and police station), impermeability, rate of the amendment and retrofitting measures in the buildings of each zone, building age, and the compatibility of land uses. The variables that are most susceptible to change from other variables include the distribution status of dangerous land uses, the quality of the buildings, the rate of historically vulnerable buildings, the vulnerability of internal and external roads, the rate of improvements and retrofitting measures in buildings in each zone, as well as historically vulnerable historical buildings.
C1 [Farhadi, Ebrahim; Pourahmad, Ahmad; Ziari, Keramatollah; Sabokbar, Hassanali Faraji] Univ Tehran, Fac Geog, Tehran 1417935840, Iran.
   [Farhadi, Ebrahim; Tondelli, Simona] Univ Bologna, Dept Archicture, I-40136 Bologna, Italy.
C3 University of Tehran; University of Bologna
RP Pourahmad, A (corresponding author), Univ Tehran, Fac Geog, Tehran 1417935840, Iran.
EM apoura@ut.ac.ir
RI Tondelli, Simona/AAD-6167-2021; Ziari, Keramatollah/A-1028-2019
OI Farhadi, Ebrahim/0000-0002-2361-4203; Tondelli,
   Simona/0000-0003-0891-7852
CR Ainuddin S, 2012, INT J DISAST RISK RE, V2, P25, DOI 10.1016/j.ijdrr.2012.07.003
   Allan P., 2010, P 2010 NZSEE C, P1
   Aqbelaghi AS, 2018, ASIAN J WATER ENVIRO, V15, P47, DOI [10.3233/AJW-180017, 10.3233/ajw-180017]
   Arvidsson N, 2013, TRANSPORT REV, V33, P107, DOI 10.1080/01441647.2013.763866
   Bexell M, 2017, FORUM DEV STUD, V44, P13, DOI 10.1080/08039410.2016.1252424
   Bibri SE, 2020, DEV BUILT ENVIRON, V4, DOI 10.1016/j.dibe.2020.100021
   Blaauw S.A., 2021, Transportation Engineering, V3, P100049, DOI [DOI 10.1016/J.TRENG.2021.100049, 10.1016/j.treng.2021.100049]
   Blaauw SA, 2022, TRANSPORT RES D-TR E, V104, DOI 10.1016/j.trd.2022.103203
   Blaauw SA, 2022, TRANSPORT RES D-TR E, V105, DOI 10.1016/j.trd.2022.103221
   Blaauw Sheldon A., 2021, Transp. Eng., V4, DOI [10.1016/j.treng.2021.100060, DOI 10.1016/J.TRENG.2021.100060]
   Buckle P., 2000, AUST J EMERG MANAG, V15, P8, DOI 10.3316/ielapa.369155833780624
   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
   Davis I, 2006, OPEN HOUSE INT, V31, P11
   Department of Economic and Social Affairs U.N. UN Department of Economic and Social Affairs, 2018, REV WORLD URB PROSP
   Department of Internation Development, 2005, SUST LIV GUID SHEETS
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Godet Michel., 2011, Strategic Foresight: For Corporate and Regional Development
   Hataminejad H., 2016, INT J SCI RES SCI EN, V1, P571
   Holling CS, 2001, PANARCHY, P25
   Hosseini A, 2022, ENVIRON DEV SUSTAIN, V24, P6527, DOI 10.1007/s10668-021-01715-3
   Hussaini F, 2023, SPAT INF RES, V31, P113, DOI 10.1007/s41324-022-00484-z
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jain N, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12010115
   Kamranzad F, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9070430
   Kapucu N., 2021, Urban Governance, V1, P10, DOI DOI 10.1016/J.UGJ.2021.09.001
   lapresse, US
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Mayunga J.S, 2006, UNDERSTANDING APPLYI
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mitchell T., 2012, ODI background note, P1
   Molan AS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011400
   Molan AS, 2019, LECT NOTES COMPUT SC, V11621, P642, DOI 10.1007/978-3-030-24302-9_46
   Motesharrei S, 2014, ECOL ECON, V101, P90, DOI 10.1016/j.ecolecon.2014.02.014
   Nelson V., 2008, P DSA DFID POLICY FO
   Pede E, 2020, SPRINGER BRIEFS GEOG, V1st ed.
   Prieto Velandia J.A., 2022, THESIS U NACL COLOMB
   Rockefeller Foundation, 2019, 100 RES CIT IN
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Skulmoski GJ, 2007, J INF TECHNOL EDUC-R, V6, P1
   Tan XD, 2018, J HEALTH POPUL NUTR, V37, DOI 10.1186/s41043-018-0139-z
   Tobin G.A., 1999, ENVIRON HAZARDS-UK, V1, P13, DOI DOI 10.1016/S1464-28679900002-9
   UN/ISDR Living with Risk, 2004, LIV RISK GLOB REV DI
   United Nations Office for Disaster Risk Reduction Centre for Research on the Epidemiology of Disaster, 2015, HUM COST NAT DIS GLO
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Yodmani S., 2000, ASIA PACIFIC FORUM P
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
   Zhao JZ, 2008, INT J SUST DEV WORLD, V15, P318, DOI 10.3843/SusDev.15.4:5a
NR 50
TC 6
Z9 6
U1 4
U2 17
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 19
AR 12756
DI 10.3390/su141912756
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 5G8IS
UT WOS:000867236400001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Wintergalen, EW
   Oyanedel, R
   Villaseñor-Derbez, JC
   Fulton, S
   Molina, R
AF Wintergalen, Edward W.
   Oyanedel, Rodrigo
   Carlos Villasenor-Derbez, Juan
   Fulton, Stuart
   Molina, Renato
TI Opportunities and challenges for livelihood resilience in urban and
   rural Mexican small-scale fisheries
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE coastal development; livelihood resilience; Mexico; systematic
   literature review; urbanization
ID GULF-OF-CALIFORNIA; FISHING COMMUNITIES; MANAGEMENT; IMPACTS; COASTAL;
   VULNERABILITY; CONSERVATION; PERCEPTIONS; INDICATORS; FRAMEWORK
AB Most small-scale fisheries (SSFs) in the developing world are exploited by rural communities, but global trends in coastal urbanization and development are rapidly transforming many SSF landscapes. The implications for livelihood resilience, or the capacity of a livelihood to overcome shocks and stresses, remain unknown. The environmental and economic shocks and stresses experienced by SSF communities are becoming more frequent and severe, highlighting the urgent need to understand how urban and rural SSF contexts influence how fishers build livelihood resilience. To shed light on this issue, we performed a systematic review of the Mexican SSF literature to compare constructions of livelihood resilience across urban and rural communities. Our findings suggest that attributes innate to urbanness and ruralness may influence how these communities and individuals build livelihood resilience. Specifically, our results suggest that population density, isolation, and the diversity of jobs available are associated with several indicator variables for livelihood resilience. Moreover, we find that the greatest threats to livelihood resilience in urban communities are weak incentives to cooperate and threats to ecosystems, while the greatest opportunities to achieve livelihood resilience are easier access to education and ample prospects for additional employment outside the fishing sector. In contrast, livelihood resilience in rural communities is most threatened by the relatively fewer opportunities for education and additional employment, but benefits from strong incentives to cooperate. Efforts to bolster livelihood resilience within SSF communities would benefit from considering these different opportunities and challenges presented by urban and rural contexts.
C1 [Wintergalen, Edward W.; Molina, Renato] Univ Miami, Dept Environm Sci & Policy, Rosenstiel Sch Marine Atmospher & Earth Sci, Miami, FL 33124 USA.
   [Oyanedel, Rodrigo] Univ Oxford, Interdisciplinary Ctr Conservat Sci, Dept Biol, Oxford, England.
   [Oyanedel, Rodrigo] Ctr Invest Dinam Ecosistemas Marinos Altas Latitu, Valdivia, Chile.
   [Oyanedel, Rodrigo] Inst Milenio Socioecol Costera SEGOS, Av Libertador Bernardo OHiggins 340, Santiago, Chile.
   [Carlos Villasenor-Derbez, Juan] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA.
   [Fulton, Stuart] Comunidad & Biodiversidad, Guaymas, Sonora, Mexico.
   [Molina, Renato] Univ Miami, Miami Herbert Business Sch, Dept Econ, Coral Gables, FL USA.
C3 University of Miami; University of Oxford; University of California
   System; University of California Santa Barbara; University of Miami
RP Wintergalen, EW (corresponding author), Univ Miami, Dept Environm Sci & Policy, Rosenstiel Sch Marine Atmospher & Earth Sci, Miami, FL 33124 USA.
RI Wintergalen, Edward/JHS-4339-2023; Oyanedel, Rodrigo/AAB-3341-2019;
   Villaseñor-Derbez, Juan Carlos/HGB-9506-2022
OI Wintergalen, Edward William/0000-0003-0209-8120
CR Marín-Monroy EA, 2016, FISH RES, V177, P116, DOI 10.1016/j.fishres.2016.01.009
   Ojeda-Ruiz MA, 2018, OCEAN COAST MANAGE, V161, P1, DOI 10.1016/j.ocecoaman.2018.04.014
   Reyes RB, 2009, N AM J FISH MANAGE, V29, P237, DOI 10.1577/M06-032.1
   Hernández-Ramírez HB, 2008, INTERCIENCIA, V33, P604
   Hoffman DM, 2014, CONSERV SOC, V12, P120, DOI 10.4103/0972-4923.138408
   HOGGART K, 1990, J RURAL STUD, V6, P245, DOI 10.1016/0743-0167(90)90079-N
   Honey M., 2007, Global Trends in Coastal Tourism
   INEGI (Instituto Nacional de Estadistica y Geografia), 2011, Marco Conceptual del Censo General de Poblacion y Vivienda 2010
   Instituto Nacional de Estadistica Geografia e Informatica (INEGI), 2021, CENS POP HOUS 2020
   Islam MS, 2004, MAR POLLUT BULL, V48, P624, DOI 10.1016/j.marpolbul.2003.12.004
   Janssen MA, 2006, ECOL SOC, V11
   Mendoza-Portillo FJ, 2020, LAT AM J AQUAT RES, V48, P94, DOI 10.3856/vol48-issue1-fulltext-2176
   Jiménez-Badillo L, 2008, FISHERIES MANAG ECOL, V15, P19, DOI 10.1111/j.1365-2400.2007.00565.x
   Joakim EP, 2015, DEV PRACT, V25, P401, DOI 10.1080/09614524.2015.1020764
   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
   Karl T.R., 2008, Weather and Climate Extremes in a Changing Climate
   Kelleher K., 2012, 66469GLB INT BANK RE
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Lagunas M, 2002, WASTE MANAGEMENT AND THE ENVIRONMENT, P81
   Leite M, 2019, ECOL SOC, V24, DOI 10.5751/ES-10910-240302
   Leu TC, 2019, ACTA BOREAL, V36, P75, DOI 10.1080/08003831.2019.1603009
   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
   Manjarrez-Bringas N, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072185
   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
   Moreno-Báez M, 2012, OCEAN COAST MANAGE, V55, P111, DOI 10.1016/j.ocecoaman.2011.10.001
   Morzaria-Luna HN, 2014, MAR POLICY, V45, P182, DOI 10.1016/j.marpol.2013.10.013
   Nenadovic M, 2016, J ENVIRON DEV, V25, P426, DOI 10.1177/1070496516670448
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Ojeda E, 2017, NAT HAZARD EARTH SYS, V17, P1305, DOI 10.5194/nhess-17-1305-2017
   Pelletier B, 2016, FOOD SECUR, V8, P469, DOI 10.1007/s12571-016-0576-8
   Pellowe KE, 2021, AMBIO, V50, P586, DOI 10.1007/s13280-020-01405-w
   Peterson ND, 2014, CONSERV SOC, V12, P245, DOI 10.4103/0972-4923.145135
   Quandt A, 2017, ECOL SOC, V22, DOI [10.5751/ES-09461-220310, 10.5751/es-09461-220310]
   Quintana A, 2020, BIODIVERS CONSERV, V29, P3899, DOI 10.1007/s10531-020-02055-w
   Quintana ACE, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.283
   Ramos-Muñoz Dora E., 2019, Cuad. Geogr. Rev. Colomb. Geogr., V28, P357, DOI 10.15446/rcdg.v28n2.73511
   Robles-Zavala E, 2014, J COAST CONSERV, V18, P431, DOI 10.1007/s11852-014-0329-9
   Rodriguez-Quiroz G., 2018, MEXICAN NATURAL RESO, P149, DOI [10.1007/978-3-319-90584, DOI 10.1007/978-3-319-90584]
   Raya MLR, 2019, MARIT STUD, V18, P91, DOI 10.1007/s40152-018-0127-3
   Rubio-Cisneros NT, 2019, MAR POLICY, V100, P8, DOI 10.1016/j.marpol.2018.10.003
   Saldaña A, 2017, FISHERIES MANAG ECOL, V24, P19, DOI 10.1111/fme.12199
   Schmitt KM, 2009, ENVIRON CONSERV, V36, P289, DOI 10.1017/S0376892910000159
   Schneller AJ, 2014, HIDROBIOLOGICA, V24, P11
   Siegelman B, 2019, WORLD DEV, V123, DOI 10.1016/j.worlddev.2019.05.031
   Sina D, 2019, INT J DISAST RISK RE, V34, P173, DOI 10.1016/j.ijdrr.2018.11.015
   Smale DA, 2019, NAT CLIM CHANGE, V9, P306, DOI 10.1038/s41558-019-0412-1
   Sosa-Cordero E., 2008, FAO Fisheries Technical Paper, P149
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Speranza CI, 2013, REG ENVIRON CHANGE, V13, P521, DOI 10.1007/s10113-012-0391-5
   Tebboth MGL, 2019, GLOBAL ENVIRON CHANG, V54, P172, DOI 10.1016/j.gloenvcha.2018.12.002
   Thulstrup AW, 2015, WORLD DEV, V74, P352, DOI 10.1016/j.worlddev.2015.05.019
   Torre J, 2019, MARIT STUD, V18, P373, DOI 10.1007/s40152-019-00153-2
   Torres V. G., 2018, REV VENEZ GERENC, V23, P719
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Uc-Espadas M, 2018, MAR POLICY, V89, P34, DOI 10.1016/j.marpol.2017.12.011
   United Nations Development Programme (UNDP), 2019, HUM DEV REP MEX
   Vázquez LM, 2017, MARIT STUD, V16, DOI 10.1186/s40152-017-0068-2
   Velez M, 2014, MAR POLICY, V45, P171, DOI 10.1016/j.marpol.2013.12.003
   Villanueva-Poot R, 2017, FISH RES, V194, P135, DOI 10.1016/j.fishres.2017.06.005
   Wang MQ, 2019, SCIENCE, V365, P83, DOI 10.1126/science.aaw7912
   Weldegebriel Z.B., 2017, Geoenvironmental Disasters, V4, P10, DOI [10.1186/s40677-017-0074-0, DOI 10.1186/S40677-017-0074-0]
   Woods M, 2011, KEY IDEAS GEOGR, P1
   Young EH, 1999, HUM ECOL, V27, P581, DOI 10.1023/A:1018744011286
NR 68
TC 5
Z9 5
U1 13
U2 57
PU Resilience Alliance
PI Dedham
PA 231 Bussey St., Beckwith and Brown, Dedham, Massachusetts, UNITED STATES
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PD SEP
PY 2022
VL 27
IS 3
DI 10.5751/ES-13471-270346
PG 19
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 6U2PD
UT WOS:000894210200006
OA gold
DA 2025-04-22
ER

PT J
AU Conti, ME
   Battaglia, M
   Calabrese, M
   Simone, C
AF Conti, Marcelo Enrique
   Battaglia, Massimo
   Calabrese, Mario
   Simone, Cristina
TI Fostering Sustainable Cities through Resilience Thinking: The Role of
   Nature-Based Solutions (NBSs): Lessons Learned from Two Italian Case
   Studies
SO SUSTAINABILITY
LA English
DT Article
DE sustainable cities; nature-based solutions (NBSs); resilience; agenda
   2030; environmental policy; sustainable urban management
ID ECOSYSTEM SERVICES; GREEN SPACE; URBAN; JUSTICE; MANAGEMENT; HEALTH;
   AREAS; ENVIRONMENTS; BIODIVERSITY; MORTALITY
AB Adopting an interdisciplinary approach and framing sustainability issues from a resilience perspective, our paper first aimed to highlight nature-based solutions (NBSs) as levers to foster sustainable cities consistent with Agenda 2030-SDG 11 (2015) and the New Urban Agenda (Habitat III, 2016). Second, we empirically analyzed two Italian municipalities that are experimenting with initiatives of sustainable urban management and planning based on NBSs: the Municipality of Lucca in Tuscany and the Municipality of Latina in the Latium Region. These municipalities present institutional and socioeconomic similarities, making them an interesting study setting that allows us to draw significant lessons. We conducted four research steps: (1) theoretical background analysis, including resilience thinking in sustainable urban management. We investigated the role of NBSs in enabling urban resilience according to the last level of resilience, i.e., the transformative level. (2) We studied the contributions of NBSs to sustainable cities and resilience thinking. (3) We analyzed the NBSs' projects of Lucca and Latina, and (4) we proposed an urban managerial tool: the NBSs' curve, which facilitates the estimation of the NBS ecosystem endowment. The results of the NBS initiatives presented in this study have a two-fold value. First, they aim to combine citizens' well-being with ecological and environmental aspects by better managing urban spaces that facilitate interpersonal relationships and resource sharing. Second, they are developed to meet the needs of local groups by serving as a stimulus (Fridays For Future movement) and as enablers (local associations) of managed actions. The lessons learned about the enhancement of sustainable cities through NBSs were thoroughly debated.
C1 [Conti, Marcelo Enrique; Battaglia, Massimo; Calabrese, Mario; Simone, Cristina] Univ Rome, Dept Management, Via Castro Laurenziano 9, I-00161 Rome, Italy.
C3 Sapienza University Rome
RP Conti, ME (corresponding author), Univ Rome, Dept Management, Via Castro Laurenziano 9, I-00161 Rome, Italy.
EM marcelo.conti@uniroma1.it; massimo.battaglia@uniroma1.it;
   mario.calabrese@uniroma1.it; cristina.simone@uniroma1.it
OI Calabrese, Mario/0000-0001-5204-2112; CONTI, Marcelo
   Enrique/0000-0001-5273-2914
FU Sapienza University of Rome projects [RG11816432851FA6,
   RM120172A913C58B]
FX This work was financed by Sapienza University of Rome projects 2018
   (Principal Investigator Prof. M.E. Conti), prot. RG11816432851FA6 and
   2020, prot. RM120172A913C58B (Principal Investigator Prof. M.
   Calabrese).
CR Abson DJ, 2014, ECOL ECON, V103, P29, DOI 10.1016/j.ecolecon.2014.04.012
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Allen J, 2014, Natural solutions for tackling health inequalities
   Almenar JB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104898
   Annesi N, 2021, LAND USE POLICY, V105, DOI 10.1016/j.landusepol.2021.105424
   [Anonymous], 2000, IGBP Global Change Newsletter
   Balian E., 2014, OUTCOMES STRATEGIC F
   Barile S., 2019, Acta Europeana Systemica, V9, P93, DOI [10.14428/aes.v9i1.56053, DOI 10.14428/AES.V9I1.56053]
   Batty M., 2007, Cities and complexity: Understanding cities with cellular automata, agentbased models, and fractals
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Benedict M. A., 2002, Renewable Resources Journal, V20, P12
   Berkes F., 2008, NAVIGATING SOCIAL EC
   Bird W., 2007, Natural thinking
   Certomà C, 2019, APPL GEOGR, V106, P60, DOI 10.1016/j.apgeog.2019.03.007
   Cheong SM, 2013, NAT CLIM CHANGE, V3, P787, DOI 10.1038/NCLIMATE1854
   Childers DL, 2019, ELEMENTA-SCI ANTHROP, V7, DOI 10.1525/elementa.385
   Ciasullo R., 2014, International Journal of Environment and Health, V7, P171, DOI 10.1504/IJENVH.2014.067379
   Cifdaloz O, 2010, ECOL SOC, V15
   CohenShacham E., 2016, Nature-based Solutions to address global societal challenges, DOI 10.2305/iucn.ch.2016.13.en
   Constanza Robert., 1997, NATURES SERVICES SOC, P49
   Conti M.E., 2018, MANAGEMENT AMBIENTAL
   Conti Marcelo Enrique, 2019, International Journal of Environment and Health, V9, P343
   Coon JT, 2011, ENVIRON SCI TECHNOL, V45, P1761, DOI 10.1021/es102947t
   Coutts C, 2015, INT J ENV RES PUB HE, V12, P9768, DOI 10.3390/ijerph120809768
   Coutu DL, 2002, HARVARD BUS REV, V80, P46
   Crane M, 2021, ENVIRON INT, V147, DOI 10.1016/j.envint.2020.106366
   Depietri Y, 2017, THEOR PRACT URB SUST, P91, DOI 10.1007/978-3-319-56091-5_6
   Duncan S, 2007, COGNITION EMOTION, V21, P1184, DOI 10.1080/02699930701437931
   Duraiappah AK., 2005, ECOSYSTEMS HUMAN WEL
   Edmondson AC, 2007, ACAD MANAGE REV, V32, P1155, DOI 10.5465/AMR.2007.26586086
   Eggermont H, 2015, GAIA, V24, P243, DOI 10.14512/gaia.24.4.9
   Escobedo FJ, 2019, URBAN FOR URBAN GREE, V37, P3, DOI 10.1016/j.ufug.2018.02.011
   European Commission, 2020, EU RES INN POL AG NA
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08748-210341
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Fritz M, 2017, THEOR PRACT URB SUST, P323, DOI 10.1007/978-3-319-56091-5_19
   Giacomello E, 2015, CTBUH J, V1, P12
   Giacomello E., 2019, LAB VEN, P104
   Giacomello Elena., 2015, VERTICAL GREENERY EV
   Gillard R, 2016, GLOBAL ENVIRON POLIT, V16, P13, DOI 10.1162/GLEP_a_00334
   Glaeser E., 2013, TRIONFO CITT COME NO
   Glaser B.G., 1967, AWARENESS DYING
   GLASER BG, 1965, SOC PROBL, V12, P436, DOI 10.1525/sp.1965.12.4.03a00070
   Gomez-Baggethun Erik, 2013, P175
   Gómez-Baggethun E, 2010, ECOL ECON, V69, P1209, DOI 10.1016/j.ecolecon.2009.11.007
   Gordon J.E., 1978, Structures or Why Things Don't Fall Down
   Hagedorn G, 2019, SCIENCE, V364, P139, DOI 10.1126/science.aax3807
   Hanski I, 2012, P NATL ACAD SCI USA, V109, P8334, DOI 10.1073/pnas.1205624109
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Horst M, 2017, J AM PLANN ASSOC, V83, P277, DOI 10.1080/01944363.2017.1322914
   Hunter RF, 2019, ENVIRON INT, V130, DOI 10.1016/j.envint.2019.104923
   Kabisch N, 2017, ENVIRON RES, V159, P362, DOI 10.1016/j.envres.2017.08.004
   Kabisch N, 2014, LANDSCAPE URBAN PLAN, V122, P129, DOI 10.1016/j.landurbplan.2013.11.016
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Kangas P., 2003, Ecological Engineering: Principles and Practice
   Keesstra S, 2018, SCI TOTAL ENVIRON, V610, P997, DOI 10.1016/j.scitotenv.2017.08.077
   Kelly V.C., 2012, ART INTIMACY HIDDEN
   Kelly V.C., 2009, The Art of Intimacy and the Hidden Challenge of Shame, P158
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   KOBASA SC, 1982, J PERS SOC PSYCHOL, V42, P168, DOI 10.1037/0022-3514.42.1.168
   Koirala S., 2019, SMEs: Key drivers of green and inclusive growth | OECD Green Growth Papers | OECD iLibrary oecd-ilibrary.org, DOI DOI 10.1787/8A51FC0C-EN
   La Notte A, 2017, ECOL INDIC, V74, P392, DOI 10.1016/j.ecolind.2016.11.030
   Lachowycz K, 2014, SOC SCI MED, V107, P9, DOI 10.1016/j.socscimed.2014.02.023
   Landrigan PJ, 2018, LANCET, V391, P462, DOI 10.1016/S0140-6736(17)32345-0
   Li Q, 2008, INT J IMMUNOPATH PH, V21, P117, DOI 10.1177/039463200802100113
   Lovasi GS, 2008, J EPIDEMIOL COMMUN H, V62, P647, DOI 10.1136/jech.2007.071894
   MacKinnon K., 2008, Biodiversity, climate change and adaptation: nature-based solutions from the Word Bank portfolio
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   Malone K., 2003, Childrens environments: A study of childrens environmental learning in relation to their schoolground experiences
   Manca A., 2020, 30179 EUR EN
   Manca A.R., 2017, JRC106265
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mueller N, 2020, ENVIRON INT, V134, DOI 10.1016/j.envint.2019.105132
   Nikolaïdou S, 2016, URBAN PLAN, V1, P5, DOI 10.17645/up.v1i1.520
   Nyström M, 2019, NATURE, V575, P98, DOI 10.1038/s41586-019-1712-3
   Odum HT, 2003, ECOL ENG, V20, P339, DOI 10.1016/j.ecoleng.2003.08.008
   Oteng-Ababio M, 2015, INT J DISAST RISK RE, V12, P311, DOI 10.1016/j.ijdrr.2015.02.005
   Pauleit S, 2017, THEOR PRACT URB SUST, P29, DOI 10.1007/978-3-319-56091-5_3
   Porter L, 2012, PLAN THEORY PRACT, V13, P329
   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
   Riolli L, 2002, J APPL SOC PSYCHOL, V32, P1604, DOI 10.1111/j.1559-1816.2002.tb02765.x
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rook GA, 2013, P NATL ACAD SCI USA, V110, P18360, DOI 10.1073/pnas.1313731110
   Ruokolainen L, 2015, ALLERGY, V70, P195, DOI 10.1111/all.12545
   Schram-Bijkerk D, 2018, SCI TOTAL ENVIRON, V621, P863, DOI 10.1016/j.scitotenv.2017.11.160
   Schwarte C., 2007, Environmental justice and race equality in the European Union
   Secretariat of the Convention on Biological Diversity, 2004, EC APPR SECR CONV BI
   Secretariat of the Convention on Biological Diversity, 2009, CBD TECHNICAL SERIES, V41
   Seeland K, 2009, FOREST POLICY ECON, V11, P10, DOI 10.1016/j.forpol.2008.07.005
   Shanahan Danielle F, 2015, Am J Public Health, V105, P470, DOI 10.2105/AJPH.2014.302324
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Simone C, 2021, CITIES, V110, DOI 10.1016/j.cities.2020.103070
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Taylor S.J., 2015, Introduction to Qualitative Research Methods: A Guidebook and Resource, V4th ed.
   Thompson CW, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13040440
   Tonne C, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106236
   Tornaghi C., 2018, Urban gardening as politics
   Tyrvainen L., 2005, URBAN FORESTS TREES, P81
   United Nations, 2018, WORLD URB PROSP 2017
   USEPA, PERF GREEN INFR
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   van den Berg AE, 2010, SOC SCI MED, V70, P1203, DOI 10.1016/j.socscimed.2010.01.002
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Walker B, 2004, ECOL SOC, V9
   Walker BH, 2009, ECOL SOC, V14
   Warren M, 2019, NATURE, V567, P291, DOI 10.1038/d41586-019-00861-z
   Waylen KA, 2014, CONSERV BIOL, V28, P1215, DOI 10.1111/cobi.12331
   WBCSD, 2013, TECHN GUID CALC EM S
   West G., 2017, Scale: the universal laws of growth, innovation, sustainability, and the pace of life in organisms, cities, economies, and companies
   Wiley N., 1988, SOCIOL THEOR, V6, P254
   World Health Organization (WHO), 2016, URBAN GREEN SPACES H
   Xing YG, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010149
   Xu YH, 2013, J EPIDEMIOL COMMUN H, V67, P519, DOI 10.1136/jech-2012-201899
   Xu ZW, 2016, ENVIRON INT, V89-90, P193, DOI 10.1016/j.envint.2016.02.007
   Yin R.K., 2015, QUALITATIVE RES STAR, V2nd
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 124
TC 12
Z9 12
U1 7
U2 31
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2021
VL 13
IS 22
AR 12875
DI 10.3390/su132212875
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 XH3JG
UT WOS:000725334300001
OA gold
DA 2025-04-22
ER

PT J
AU Eldesoky, AH
   Gil, J
   Pont, MB
AF Eldesoky, Ahmed Hazem
   Gil, Jorge
   Pont, Meta Berghauser
TI Combining environmental and social dimensions in the typomorphological
   study of urban resilience to heat stress
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Typomorphology; Urban form; Heat stress; Urban resilience; Social
   interaction; Local climate zone (LCZ)
ID LOCAL CLIMATE ZONES; ISLAND; FORM; COMFORT; HEALTH; IMPACT
AB Over the past years, cities have become more prone to extreme and frequent heatwaves. In this regard, urban form plays an important role and several typomorphological classifications have been developed to describe the urban form characteristics that can exacerbate heat stress and influence people's health and comfort negatively (i.e. the environmental dimension of heat-stress resilience). Nevertheless, evidence from past heatwave disasters indicates that other urban form characteristics, not included in existing typomorphological classifications, can significantly affect heat-stress resilience by influencing the conditions of social interaction and the state of social ties and solidarities in urban neighborhoods (i.e. the social dimension). Therefore, this paper proposes a broader approach combining the aforementioned environmental and social dimensions in the classification of urban form types; and demonstrates its application in a real-world case by developing a data-driven typomorphological classification that complements existing ones with the missing social dimension. The results showed the possi-bility of numerically identifying neighborhood types that, through distinct urban form characteristics, have different potentials for enhancing the social dimension of heat-stress resilience. This has direct planning and design relevance as the quantifiable characteristics of these types can be translated into guidelines/rules and incorporated into local regulations/codes.
C1 [Eldesoky, Ahmed Hazem] Univ IUAV Venezia, Palazzo Badoer,San Polo 2468, I-30125 Venice, Italy.
   [Gil, Jorge; Pont, Meta Berghauser] Chalmers Univ Technol, Dept Architecture & Civil Engn, Sven Hultins gata 6, S-41258 Gothenburg, Sweden.
   [Eldesoky, Ahmed Hazem] Palazzo Badoer,San Polo 2468, I-30125 Venice, Italy.
C3 IUAV University Venice; Chalmers University of Technology
RP Eldesoky, AH (corresponding author), Palazzo Badoer,San Polo 2468, I-30125 Venice, Italy.
EM ahmeldesoky@iuav.it
RI ; Gil, Jorge/S-1397-2018; Eldesoky, Ahmed Hazem/AHA-2497-2022
OI Berghauser Pont, Meta/0000-0002-4000-9064; Gil,
   Jorge/0000-0001-6671-2578; Eldesoky, Ahmed Hazem/0000-0002-6381-8956
CR Adger WN, 2003, ECON GEOGR, V79, P387
   al Ghatam W., 2012, P 8 INT SPACE SYNTAX
   Angelil MarcM., 2018, Cairo Desert Cities
   [Anonymous], 1992, J PLAN LIT
   [Anonymous], 1936, Handbuch der Klimatologie in funf Banden: Das geographische System der Klimate
   ARUP, 2018, CIT AL RETH CIT AR E
   AUER AH, 1978, J APPL METEOROL, V17, P636, DOI 10.1175/1520-0450(1978)017<0636:COLUAC>2.0.CO;2
   Barthelemy M, 2017, ENVIRON PLAN B-URBAN, V44, P256, DOI 10.1177/0265813515599982
   Batty M., 1994, FRACTAL CITIES GEOME
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Bergevoet T., 2016, The Flexible City - Sustainable Solutions for a Europe in Transiton
   Bobkova E, 2019, URBAN SCI, V3, DOI 10.3390/urbansci3030066
   Bobkova E, 2021, ENVIRON PLAN B-URBAN, V48, P604, DOI 10.1177/2399808319880902
   Bolin D, 2021, J ROY STAT SOC A, V184, P1176, DOI 10.1111/rssa.12646
   Brousse O, 2019, URBAN CLIM, V27, P227, DOI 10.1016/j.uclim.2018.12.004
   Carmona M., 2021, PUBLIC PLACES URBAN, DOI DOI 10.4324/9781315158457
   Castell Pal., 2010, MANAGING YARDS TOGET
   Chandler T.J., 1965, CLIMATE LONDON
   Colaninno N, 2011, 51 C EUR REG SCI ASS
   Collins Randall., 2005, INTERACTION RITUAL C
   Combeau F., 2018, CAIRO DESERT CITIES, P418
   Elcheroth G, 2020, BRIT J SOC PSYCHOL, V59, P703, DOI 10.1111/bjso.12403
   Eldesoky AHM, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100823
   ELLEFSEN R, 1991, ENERG BUILDINGS, V16, P1025, DOI 10.1016/0378-7788(91)90097-M
   Emmanuel R, 2012, BUILD ENVIRON, V53, P137, DOI 10.1016/j.buildenv.2012.01.020
   Fahed J, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102375
   Feliciotti A, 2016, OPEN HOUSE INT, V41, P23
   Fleischmann M, 2022, ENVIRON PLAN B-URBAN, V49, P1283, DOI 10.1177/23998083211059835
   Fusco G, 2018, 24TH ISUF INTERNATIONAL CONFERENCE: CITY AND TERRITORY IN THE GLOBALIZATION AGE, P1313, DOI 10.4995/ISUF2017.2017.5219
   Gil J, 2012, URBAN MORPHOL, V16, P27
   GOWER JC, 1971, BIOMETRICS, V27, P857, DOI 10.2307/2528823
   Granovetter M., 1983, SOCIOLOGICAL THEORY, V1, P201, DOI DOI 10.2307/202051
   Han B., 2022, CHINA SUSTAIN CITIES, DOI [10.1016/j.scs.2021.103495, DOI 10.1016/J.SCS.2021.103495]
   Hatvani-Kovacs G, 2016, SUSTAIN CITIES SOC, V26, P278, DOI 10.1016/j.scs.2016.06.019
   Hausleitner Birgit., 2017, P 11 INT SPAC SYNT S
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Hillier B, 2005, LECT NOTES COMPUT SC, V3693, P475
   Hillier B, 1984, SOCIAL LOGIC SPACE
   Hillier B., 1996, SPACE IS MACHINE
   Jane J., 1961, DEATH LIFE GREAT AM
   Klinenberg E, 1999, THEOR SOC, V28, P239, DOI 10.1023/A:1006995507723
   Klinenberg E., 2001, ETHNOGRAPHY, V2, P501, DOI DOI 10.1177/14661380122231019
   Klinenberg E., 2002, Heat Wave: A Social Autopsy of Disaster in Chicago
   Klinenberg Eric., 2018, PALACES PEOPLE SOCIA
   Leconte F, 2015, BUILD ENVIRON, V83, P39, DOI 10.1016/j.buildenv.2014.05.005
   Lee D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071915
   Legeby A., 2013, PATTERNS COPRESENCE
   Lehnert M, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10040260
   Madanipour A., 2003, PUBLIC PRIVATE SPACE, DOI DOI 10.4324/9780203402856
   Maiullari D, 2021, URBAN PLAN, V6, P240, DOI 10.17645/up.v6i3.4223
   Marchal-Crespo L., 2011, IEEE INT C REHABILIT, P1
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Martins TAL, 2016, SUSTAIN CITIES SOC, V26, P9, DOI 10.1016/j.scs.2016.05.003
   Masson-Delmotte V., 2021, Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change
   Minoura E., 2016, Uncommon ground. Urban form and social territory
   Moneo Rafael., 1978, Oppositions, P22
   Moudon A.V., 1994, ORDERING SPACE TYPES, P289
   Mousavinia SF, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101699
   Naughton MP, 2002, AM J PREV MED, V22, P221, DOI 10.1016/S0749-3797(02)00421-X
   Nielsen F., 2016, Hierarchical clustering. introduction to hpc with mpi for data science. cham, P195, DOI 10.1007/978-3-319-21903-58
   Oke T.R., 2004, INITIAL GUIDANCE OBT
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Oldenburg R., 2001, Celebrating the Third Place: Inspiring Stories about the "Great Good Places" at the Heart of Our Communities
   OLSSON S, 1997, LILLA GRANNSKAPET GA
   Peponis J, 1997, GEOFORUM, V28, P341, DOI 10.1016/S0016-7185(97)00016-X
   Perera NGR, 2018, URBAN CLIM, V23, P188, DOI 10.1016/j.uclim.2016.11.006
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Pont MB, 2019, ENVIRON PLAN B-URBAN, V46, P1549, DOI 10.1177/2399808319852632
   Pont MB, 2019, ENVIRON PLAN B-URBAN, V46, P1226, DOI 10.1177/2399808319857450
   Pont MB, 2018, URBAN BOOK SERIES, P101, DOI 10.1007/978-3-319-76126-8_7
   Putnam R.D., 2000, BOWLING ALONE COLLAP, DOI 10.1145/358916.361990
   Pyrgou A, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15081571
   Ratti C, 2003, ENERG BUILDINGS, V35, P49, DOI 10.1016/S0378-7788(02)00079-8
   Romice O., 2018, URBAN FORM RESILIENC, DOI [10.3390/ifou2018-05976, DOI 10.3390/IFOU2018-05976]
   Salata F, 2017, SUSTAIN CITIES SOC, V30, P79, DOI 10.1016/j.scs.2017.01.006
   Scherer D, 1999, ATMOS ENVIRON, V33, P4185, DOI 10.1016/S1352-2310(99)00161-2
   Seebass K, 2017, NAT CULT, V12, P137, DOI 10.3167/nc.2017.120203
   Serra M., 2013, ANATOMY EMERGING MET
   Shareef S, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100611
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2018, LECT N ENERG, V65, P167, DOI 10.1007/978-3-319-75798-8_9
   Song Y, 2007, J URBAN DES, V12, P1, DOI 10.1080/13574800601072640
   Stahle A., 2007, New Developments in Space Syntax Software, P35
   STEINIGER S., 2008, Transactions in GIS, V12, P31, DOI [10.1111/j.1467-9671.2008.01085.x, DOI 10.1111/J.1467-9671.2008.01085.X]
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stewart I. D., 2011, THESIS
   Sugiyama T, 2018, LANDSCAPE URBAN PLAN, V178, P12, DOI 10.1016/j.landurbplan.2018.05.019
   United Nations Department of Economic and Social Affairs Population Division, 2019, A421 STESASER
   Verdonck ML, 2018, LANDSCAPE URBAN PLAN, V178, P183, DOI 10.1016/j.landurbplan.2018.06.004
   Wang LL, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103185
   WARD JH, 1963, J AM STAT ASSOC, V58, P236, DOI 10.2307/2282967
   WILMERS F, 1991, ENERG BUILDINGS, V15, P507
   Witten I.H., 2005, Morgan Kaufmann, V2, P578, DOI [10.1016/c2009-0-19715-5, DOI 10.1016/C2009-0-19715-5]
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 96
TC 18
Z9 18
U1 13
U2 66
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 2022
VL 83
AR 103971
DI 10.1016/j.scs.2022.103971
EA JUN 2022
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 2T7ZD
UT WOS:000822687200006
DA 2025-04-22
ER

PT J
AU Song, J
   Chang, Z
   Li, WF
   Feng, Z
   Wu, JS
   Cao, QW
   Liu, JZ
AF Song, Jing
   Chang, Zheng
   Li, Weifeng
   Feng, Zhe
   Wu, Jiansheng
   Cao, Qiwen
   Liu, Jianzheng
TI Resilience-vulnerability balance to urban flooding: A case study in a
   densely populated coastal city in China
SO CITIES
LA English
DT Article
DE Adaptation; Climate change; Spatial balance; Urban flooding;
   Urbanization; Vulnerability
ID SOCIAL VULNERABILITY; CLIMATE-CHANGE; ADAPTIVE CAPACITY; PUBLIC-HEALTH;
   RISK; DISASTER; ADAPTATION; WATER; GIS; HAZARDS
AB City areas experiencing disproportionate vulnerability levels to urban flooding events have attracted attention. Resilience is widely accepted as a strategy for reducing the risks of vulnerability and maintaining sustainable development. This research conceptualized vulnerability to hazard and exposure, and resilience to adaptation to urban flooding and explores their associations from a spatial balance perspective. The hazard of urban flooding was evaluated by hydrographic models, whereas exposure and adaptation were examined by indexes. Shenzhen, a densely populated socialist Chinese city, was selected as the case city. Results revealed that districts in the marginalized areas of Shenzhen experience high vulnerability to urban flooding because of poor geographic factors, immature drainage systems of urban villages, and the influx of rural migrants with sensible populations driven by high housing prices in urban center. The situation is becoming increasingly serious because of strong spatial mismatch between vulnerability and resilience with urban overutilization and the rural underutilization of adaptation resource allocation. Social segregation on adaptation resource occurs for public service provision in a marketization situation instead of socialism. Therefore, exploring the mechanisms of the spatial imbalance between vulnerability and resilience in socialist city, such as Shenzhen is necessary for reducing such impacts in future research.
C1 [Song, Jing; Wu, Jiansheng] Peking Univ, Shenzhen Grad Sch, Sch Urban Planning & Design, Key Lab Environm & Urban Sci, Shenzhen 518055, Guangdong, Peoples R China.
   [Song, Jing] QIIR, Shenzhen 518052, Guangdong, Peoples R China.
   [Chang, Zheng] City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China.
   [Li, Weifeng; Liu, Jianzheng] Univ Hong Kong, Dept Urban Planning & Design, Hong Kong, Peoples R China.
   [Li, Weifeng; Liu, Jianzheng] Univ Hong Kong, Shenzhen Inst Res & Innovat, Shenzhen 51805Z, Guangdong, Peoples R China.
   [Feng, Zhe] China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China.
   [Wu, Jiansheng] Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China.
   [Cao, Qiwen] Tsinghua Univ, Sch Architecture, Beijing 100084, Peoples R China.
C3 Peking University; City University of Hong Kong; University of Hong
   Kong; The University of Hong Kong Shenzhen Institute of Research &
   Innovation; University of Hong Kong; China University of Geosciences;
   Peking University; Tsinghua University
RP Li, WF (corresponding author), City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China.
EM wfli@hku.hk
RI Wu, Jiansheng/GLS-1168-2022; /E-1478-2011; Liu, Jianzheng/F-2186-2015
OI /0000-0001-5386-3019; chang, zheng/0000-0001-6624-3206; Liu,
   Jianzheng/0000-0003-0039-4786
FU National Natural Science Foundation of China [41471370]
FX We are very grateful to the constructive comments from anonymous
   referees. This project is supported by the National Natural Science
   Foundation of China (grant no. 41471370).
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ahmed B, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000290
   Ajmal M, 2014, J IRRIG DRAIN ENG, V141, P1
   Alam M., 2019, STATUS CLIMATE CHANG, P13
   Alam M, 2007, ENVIRON URBAN, V19, P81, DOI 10.1177/0956247807076911
   Angeon V, 2015, WORLD DEV, V72, P140, DOI 10.1016/j.worlddev.2015.02.011
   [Anonymous], WORLD URB PROSP 2014
   Arnell NW, 2016, CLIMATIC CHANGE, V134, P387, DOI 10.1007/s10584-014-1084-5
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bolin B., 2018, HDB DISASTER RES, P181, DOI [DOI 10.1007/978-3-319-63254-4_10, 10.1007/978-3-319-63254-410]
   Briguglio LP, 2016, J ECON STUD, V43, P1057, DOI 10.1108/JES-12-2014-0203
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Cannaby H, 2015, J MARINE SYST, V141, P149, DOI 10.1016/j.jmarsys.2014.08.005
   Cartier C, 2002, URBAN STUD, V39, P1513, DOI 10.1080/00420980220151637
   Chakraborty A, 2016, GEOMAT NAT HAZ RISK, V7, P308, DOI 10.1080/19475705.2014.897656
   Chang H. Y., 2013, ASIA PACIFIC J PUBLI, V27, P958
   Chen J, 2009, J HYDROL, V373, P184, DOI 10.1016/j.jhydrol.2009.04.021
   Chourabi H., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P2289, DOI 10.1109/HICSS.2012.615
   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
   Dumenu WK, 2016, ENVIRON SCI POLICY, V55, P208, DOI 10.1016/j.envsci.2015.10.010
   Emrich CT, 2011, WEATHER CLIM SOC, V3, P193, DOI 10.1175/2011WCAS1092.1
   Frigerio I, 2016, APPL GEOGR, V74, P12, DOI 10.1016/j.apgeog.2016.06.014
   Gandy M, 2008, ENVIRON PLANN A, V40, P108, DOI 10.1068/a3994
   Gupta J, 2016, MITIG ADAPT STRAT GL, V21, P883, DOI 10.1007/s11027-014-9630-z
   Hagenlocher M, 2018, SCI TOTAL ENVIRON, V631-632, P71, DOI 10.1016/j.scitotenv.2018.03.013
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   Henderson J. Vernon, 2001, Journal of Economic Geography, V1, P81, DOI [10.1093/jeg/1.1.81, DOI 10.1093/JEG/1.1.81]
   Hewko J, 2002, ENVIRON PLANN A, V34, P1185, DOI 10.1068/a34171
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Janius R, 2017, INT J DISAST RISK RE, V21, P168, DOI 10.1016/j.ijdrr.2016.12.002
   Jonkman SN, 2008, ECOL ECON, V66, P77, DOI 10.1016/j.ecolecon.2007.12.022
   Kazmierczak A, 2011, LANDSCAPE URBAN PLAN, V103, P185, DOI 10.1016/j.landurbplan.2011.07.008
   Keim ME, 2008, AM J PREV MED, V35, P508, DOI 10.1016/j.amepre.2008.08.022
   Kongsomsaksakul S., 2005, J E ASIA SOC TRANSPO, V6, P4237, DOI DOI 10.11175/EASTS.6.4237
   Lee YJ, 2014, ENVIRON IMPACT ASSES, V44, P31, DOI 10.1016/j.eiar.2013.08.002
   Li Z.B, 2018, T INDIAN I METALS, P1
   [刘珍环 Liu Zhenhuan], 2012, [地理研究, Geographical Research], V31, P1535
   Ma WJ, 2015, ENVIRON INT, V75, P103, DOI 10.1016/j.envint.2014.11.004
   Masuya A, 2015, NAT HAZARDS, V78, P1859, DOI 10.1007/s11069-015-1802-y
   Mavhura E, 2017, GEOFORUM, V86, P103, DOI 10.1016/j.geoforum.2017.09.008
   Mavromatidi A, 2018, CITIES, V72, P189, DOI 10.1016/j.cities.2017.08.007
   McCarthy JF, 2014, GLOBAL ENVIRON CHANG, V27, P144, DOI 10.1016/j.gloenvcha.2014.05.004
   Mili RR, 2018, INT J DISAST RISK RE, V27, P355, DOI 10.1016/j.ijdrr.2017.10.022
   Namdeo A, 2011, ENVIRON INT, V37, P829, DOI 10.1016/j.envint.2011.02.002
   Noland RB, 2017, J TRANSP GEOGR, V60, P130, DOI 10.1016/j.jtrangeo.2017.02.015
   Owrangi AM, 2014, NAT HAZARDS, V72, P1219, DOI 10.1007/s11069-014-1064-0
   Pan HX, 2017, TRANSPORT RES D-TR E, V57, P52, DOI 10.1016/j.trd.2017.09.016
   Piacenza M., 2018, REG STUD, P1
   Quintao AF, 2017, J ENVIRON PUBLIC HEA, V2017, DOI 10.1155/2017/2821343
   Roselló MJP, 2009, ENVIRON INT, V35, P325, DOI 10.1016/j.envint.2008.08.005
   Salvati L, 2009, ECOL INDIC, V9, P357, DOI 10.1016/j.ecolind.2008.04.001
   Shenzhen Statistics Bureau, 2017, STAT YB SHENZH 2016
   Shepard DP, 2012, INT J CRIT INFR PROT, V5, P146, DOI 10.1016/j.ijcip.2012.09.003
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Song GB, 2010, PROCEDIA ENVIRON SCI, V2, P465, DOI 10.1016/j.proenv.2010.10.051
   Song Y, 2017, J ENVIRON PLANN MAN, V60, P2192, DOI 10.1080/09640568.2017.1282346
   Sovacool BK, 2018, HBK RES INT POLIT EC, P33
   Spence RJS, 2005, NAT HAZARD EARTH SYS, V5, P477, DOI 10.5194/nhess-5-477-2005
   Stapleton LM, 2008, ECOL ECON, V66, P461, DOI 10.1016/j.ecolecon.2007.10.009
   Sun Y, 2017, INT J DISAST RISK SC, V8, P121, DOI 10.1007/s13753-017-0128-7
   Tanim S H., 2018, Papers in Applied Geography, V4, P123, DOI DOI 10.1080/23754931.2016.1266020
   Thorn J, 2015, GLOBAL ENVIRON CHANG, V31, P121, DOI 10.1016/j.gloenvcha.2014.12.009
   van Vliet MTH, 2016, NAT CLIM CHANGE, V6, P375, DOI [10.1038/nclimate2903, 10.1038/NCLIMATE2903]
   Vanos JK, 2015, ENVIRON INT, V76, P1, DOI 10.1016/j.envint.2014.11.016
   Waters J, 2017, GLOBAL ENVIRON CHANG, V46, P42, DOI 10.1016/j.gloenvcha.2017.06.011
   Weichselgartner J., 2001, DISASTER PREV MANAG, V10, P85, DOI [10.1108/09653560110388609, DOI 10.1108/09653560110388609]
   White I., 2013, Water and the City: Risk, Resilience and Planning for a Sustainable Future
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Witten K, 2003, URBAN STUD, V40, P161, DOI 10.1080/00420980220080221
   Witten K, 2011, ENVIRON PLANN A, V43, P205, DOI 10.1068/a43219
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wu JS, 2018, NAT HAZARD EARTH SYS, V18, P2525, DOI 10.5194/nhess-18-2525-2018
   [吴健生 Wu Jiansheng], 2017, [地理学报, Acta Geographica Sinica], V72, P444
   Xiang YS, 2016, ANN OPER RES, V236, P177, DOI 10.1007/s10479-014-1716-1
   Yip WCM, 2012, LANCET, V379, P833, DOI 10.1016/S0140-6736(11)61880-1
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
NR 78
TC 58
Z9 59
U1 25
U2 207
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 DEC
PY 2019
VL 95
AR 102381
DI 10.1016/j.cities.2019.06.012
PG 11
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA JQ1YG
UT WOS:000498748100002
DA 2025-04-22
ER

PT J
AU Maquiling, KSM
   De La Sala, S
   Rabé, P
AF Maquiling, Karl Sam M.
   De La Sala, Safira
   Rabe, Paul
TI Urban resilience in the aftermath of tropical storm Washi in the
   Philippines: The role of autonomous household responses
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Urban governance; disaster management; climate change adaptation;
   survivor and community led response; Sendong
AB Existing knowledge regarding the role of household adaptation in pursuing urban resilience, especially in developing countries, is limited. Upon this rationale, the study provides in-depth empirical evidence on how resilience is framed, pursued, and realized from the perspective of low-income households in the Philippines. The study adopted a mixed-methods strategy to expound on the dynamics that affect resilience-building measures at the household level. The quantitative tools were chosen to provide empirical evidence on how residents in selected areas understand resilience and the actions undertaken to realize desired outcomes. The findings were further examined through analysis of data gathered from key informant interviews, relevant local policies, and regulations. Key findings show that autonomous household responses are intended, albeit intuitively, as resilience-building measures from the need to address risks immediately. These measures are undertaken independently and can provide direct benefits to the household. However, they may become counterproductive when analyzed from the point of view of collective resilience. The key to addressing this is institutional interventions that allow flexible modes of resilience that could enable households to pursue better resilience-building measures. Autonomous household responses, transitioning to a more collective level approach, challenge the distribution of decision-making processes and could result in framing appropriate urban resilience policies, strategies, and measures.
C1 [Maquiling, Karl Sam M.] Mindanao Dev Author, Old Airport Bldg,KM 9 Davao, Davao Del Sur 8000, Philippines.
   [De La Sala, Safira; Rabe, Paul] Erasmus Univ, Rotterdam Inst Housing & Urban Dev Studies, Rotterdam, Netherlands.
C3 Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University
   Rotterdam
RP Maquiling, KSM (corresponding author), Mindanao Dev Author, Old Airport Bldg,KM 9 Davao, Davao Del Sur 8000, Philippines.
EM karlmaqs@gmail.com
RI Maquiling, Karl/AAN-1639-2021; De La Sala, Safira/AAH-2328-2021
OI Maquiling, Karl Sam/0000-0002-8564-9700; De La Sala,
   Safira/0000-0002-8314-6165
FU Orange Knowledge Programme
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This
   article is based on the first author's master's thesis. He received a
   scholarship from the Orange Knowledge Programme. The author received no
   additional financial support for the research or authorship of this
   article.
CR [Anonymous], Catholicism in the Philippines
   Berkes F, 2016, ENVIRON SCI POLICY, V61, P185, DOI 10.1016/j.envsci.2016.04.004
   Carrasco S, 2016, PROCD SOC BEHV, V218, P35, DOI 10.1016/j.sbspro.2016.04.008
   Carrasco S, 2016, INT J DISAST RISK RE, V17, P100, DOI 10.1016/j.ijdrr.2016.05.001
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Elrick-Barr CE, 2016, ENVIRON SCI POLICY, V63, P177, DOI 10.1016/j.envsci.2016.05.013
   Escalante, 2012, EMPLOYMENT LIVELIHOO
   Espinueva SR, 2012, TROP CYCLONE RES REV, V1, P163, DOI 10.6057/2012TCRR02.11
   Goldstein BE, 2015, URBAN STUD, V52, P1285, DOI 10.1177/0042098013505653
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mosqueda, 2018, NO VOTE IBOT NO MORE
   Mosqueda, 2017, RISING MUD SHOWCASE
   Murphy R, 2018, INT J DISAST RISK RE, V31, P135, DOI 10.1016/j.ijdrr.2018.04.009
   Mycoo MA, 2014, URBAN CLIM, V9, P134, DOI 10.1016/j.uclim.2014.07.009
   Nunan F, 2018, NAT RESOUR FORUM, V42, P159, DOI 10.1111/1477-8947.12149
   Pelling M, 2011, ECOL SOC, V16
   Rasquinho O, 2013, TROP CYCLONE RES REV, V2, P169, DOI 10.6057/2013TCRR03.04
   RDC-Northern Mindanao, 2012, STRATEGIC ACTION PLA
   Rodolfo KS, 2016, NAT HAZARD EARTH SYS, V16, P2683, DOI 10.5194/nhess-16-2683-2016
   Usdin L., 2014, International Journal of Leadership in Public Services, V3, P157, DOI DOI 10.1108/IJLPS-07-2014-0010
   Yonson, 2017, THESIS VICTORIA U WE
NR 23
TC 3
Z9 3
U1 2
U2 37
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 JUN
PY 2021
VL 48
IS 5
BP 1025
EP 1041
AR 2399808321998693
DI 10.1177/2399808321998693
EA MAR 2021
PG 17
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 SS7QN
UT WOS:000628950800001
OA hybrid
DA 2025-04-22
ER

PT J
AU Zhang, YP
   Zhang, JJ
   Wang, K
   Wu, X
AF Zhang, Yaping
   Zhang, Jianjun
   Wang, Ke
   Wu, Xia
TI An Empirical Perception of Economic Resilience Responded to the COVID-19
   Epidemic Outbreak in Beijing-Tianjin-Hebei Urban Agglomeration, China:
   Characterization and Interaction
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE COVID-19; economy resilience; economy resistance; economy restoration;
   China
ID REGIONAL RESILIENCE
AB The COVID-19 has caused a serious impact on the global economy, and all countries are in a predicament of fighting the epidemic and recovering their economies. Aiming to discuss the impact of the COVID-19 on the economic resilience of urban agglomerations, the economic data of each quarter from June 2019 to September 2020 of the Beijing-Tianjin-Hebei Urban Agglomeration are selected, and the economic development index (EDI) is calculated based on the entropy method. Combining the fundamental conditions of urban agglomerations and industrial policies during the COVID-19, urban economic resilience is discussed by the changing trend of the economic development index (EDI) and dividing into resistance and restoration. The results show that: (1) The economic development level of the urban agglomeration has been affected by the epidemic and has changed significantly. The change of endogenous power is the main cause of change; (2) During the outbreak of the COVID-19, the economic resilience of the Beijing-Tianjin-Hebei urban agglomeration shows four different development types: high resistance and restoration, high resistance but low restoration, low resistance but high restoration, low resistance and restoration cities; (3) High resistance but low restoration, low resistance but high restoration, and low resistance and restoration cities influence each other, but the relationship between cities is mainly dependent; (4) The economic restoration within the urban agglomeration forms a synergy, which promotes the economic recovery and development of the urban agglomeration during the recovery period of the COVID-19. Urban agglomerations should enhance the combined effect of resistance and increase the impact of high resistance and restoration cities on surrounding cities in the future.
C1 [Zhang, Yaping; Zhang, Jianjun; Wang, Ke; Wu, Xia] China Univ Geosci Beijing, Sch Land Sci & Technol, Beijing 100083, Peoples R China.
   [Zhang, Jianjun] Minist Nat & Resource, Land Consolidat & Rehabil Ctr, Beijing 100083, Peoples R China.
C3 China University of Geosciences
RP Zhang, JJ (corresponding author), China Univ Geosci Beijing, Sch Land Sci & Technol, Beijing 100083, Peoples R China.; Zhang, JJ (corresponding author), Minist Nat & Resource, Land Consolidat & Rehabil Ctr, Beijing 100083, Peoples R China.
EM zhangyp1007@163.com; zhangjianjun_bj@126.com; wangke11260@163.com;
   alisonwuxia@126.com
RI ZHANG, Yaping/A-3595-2017; Wang, Ke/HGC-1797-2022
OI Zhang, Yaping/0009-0007-2410-2895; Zhang, Jianjun/0000-0001-9357-6778
FU Fundamental Research Funds for the Central Universities
FX This article is supported by the Fundamental Research Funds for the
   Central Universities.
CR Alirol E, 2011, LANCET INFECT DIS, V11, P131, DOI 10.1016/S1473-3099(10)70223-1
   Batool M, 2021, ECON RES-EKON ISTRAZ, V34, P2374, DOI 10.1080/1331677X.2020.1863830
   Briguglio L, 2009, OXF DEV STUD, V37, P229, DOI 10.1080/13600810903089893
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Cao L., 2021, STAT DECIS, V17, P140, DOI [10.13546/j.cnki.tjyjc.2021.17.029, DOI 10.13546/J.CNKI.TJYJC.2021.17.029]
   Cao Q, 2020, IOP C SER EARTH ENV, V601, DOI 10.1088/1755-1315/601/1/012028
   Cellini R, 2014, REG STUD, V48, P1779, DOI 10.1080/00343404.2013.861058
   [陈明星 CHEN Mingxing], 2009, [地理学报, Acta Geographica Sinica], V64, P387
   Chen Y., 2009, URBAN PROBL, V1, P18, DOI [10.13239/j.bjsshkxy.cswt.2009.01.010, DOI 10.13239/J.BJSSHKXY.CSWT.2009.01.010]
   Di Pietro F, 2021, SPAT ECON ANAL, V16, P287, DOI 10.1080/17421772.2020.1846768
   Dubé J, 2016, REG STUD, V50, P615, DOI 10.1080/00343404.2015.1020291
   Fang C., 2019, World Reg. Stud, V28, P77, DOI DOI 10.3969/J.ISSN.1004-9479.2019.06.2018403
   Fang C., 2017, Reform, P54
   Foster K.A., 2007, A case study approachto understanding regional resilience
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   Hill E, 2012, URBAN AND REGIONAL POLICY AND ITS EFFECTS: BUILDING RESILIENT REGIONS, VOL 4, P193
   Hu XH, 2017, CAMB J REG ECON SOC, V10, P527, DOI 10.1093/cjres/rsx012
   Ibn-Mohammed T, 2021, RESOUR CONSERV RECY, V164, DOI 10.1016/j.resconrec.2020.105169
   Islam AM, 2021, TRANSNATL CORP REV, V13, P189, DOI 10.1080/19186444.2021.1936852
   Kanagarathinam Karthick, 2020, Mater Today Proc, DOI 10.1016/j.matpr.2020.10.086
   Lin QY, 2020, INT J INFECT DIS, V93, P211, DOI 10.1016/j.ijid.2020.02.058
   [刘逸 Liu Yi], 2020, [地理研究, Geographical Research], V39, P2029
   Ma D.B., 2021, RESOUR DEV MARK, V37, P820
   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
   Padhan R, 2021, ECON ANAL POLICY, V70, P220, DOI 10.1016/j.eap.2021.02.012
   Phiri D, 2021, SCI AFR, V12, DOI 10.1016/j.sciaf.2021.e00827
   Pretorius O, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052674
   Qian Y., 2021, MED SOC, V34, P11, DOI [10.13723/j.yxysh.2021.08.003, DOI 10.13723/J.YXYSH.2021.08.003]
   Qin Y., 2020, REG EC REV, P146, DOI [10.14017/j.cnki.2095-5766.2020.0063, DOI 10.14017/J.CNKI.2095-5766.2020.0063]
   Si DK, 2021, ENERG ECON, V102, DOI 10.1016/j.eneco.2021.105498
   Simmie J, 2014, RAUMFORSCH RAUMORDN, V72, P103, DOI 10.1007/s13147-014-0274-y
   Slocum S, 2014, ANATOLIA, V25, P403, DOI 10.1080/13032917.2014.888673
   Sun YC, 2022, FINANC RES LETT, V45, DOI 10.1016/j.frl.2021.102211
   [谭俊涛 Tan Juntao], 2020, [地理科学, Scientia Geographica Sinica], V40, P173
   Tong J., 2020, ACTA GEOGRAPH SIN, V75, P2505
   [王姣娥 Wang Jiaoe], 2020, [地理研究, Geographical Research], V39, P1450
   Wang Q, 2021, J CLEAN PROD, V295, DOI 10.1016/j.jclepro.2021.126265
   Wang Y.G., 2020, Economic Management, V42, P5, DOI DOI 10.19616/J.CNKI.BMJ.2020.05.001
   [魏石梅 Wei Shimei], 2021, [地理学报, Acta Geographica Sinica], V76, P1394
   Xiao D., 2021, J. Macro-Qual. Res, V9, P86
   Xu Z.F., 2019, CHINESE J SAFETY SCI, V3, P1
   Yang S., 2021, PUBLIC ADM POLICY RE, V10, P123
   Yang ZD, 2021, ECOL INFORM, V64, DOI 10.1016/j.ecoinf.2021.101321
   Yang ZS, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102226
   Zakianis, 2021, ONE HEALTH-AMSTERDAM, V13, DOI 10.1016/j.onehlt.2021.100303
   [张凯煌 Zhang Kaihuang], 2020, [热带地理, Tropical Geography], V40, P396
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
NR 48
TC 10
Z9 10
U1 5
U2 108
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 2021
VL 18
IS 19
AR 10532
DI 10.3390/ijerph181910532
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 2B1VE
UT WOS:000809981300001
PM 34639832
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Wang, HP
   Ge, Q
AF Wang, Huiping
   Ge, Qi
TI Ecological resilience of three major urban agglomerations in China from
   the "environment-society" coupling perspective
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Urban agglomeration; Ecological resilience; Ecological substrate;
   Spatial and temporal distribution; Spatial association network
ID LAND-USE CHANGE; ECOSYSTEM SERVICES; GREEN TRANSFORMATION; HEALTH;
   URBANIZATION; COORDINATION; EFFICIENCY; PATTERNS; CITY
AB Three major urban agglomerations in China are considered to construct a framework for measuring ecological resilience from the perspective of the "environment-society" coupling; the spatial and temporal characteristics of ecological resilience are clarified, and the spatial associations of ecological resilience within urban agglomerations are deconstructed. The following conclusions are obtained: (1) The Beijing-Tianjin-Hebei (BTH) region lags behind the other two in terms of ecological resilience, and cities within it are highly polarized. However, the opposite is true for the Pearl River Delta (PRD) region. The rates of change in ecological resilience in BTH and the Yangtze River Delta (YRD) exhibit clearly uneven spatial distributions describable as "low in the middle and high in the north and the south" and "lower on the coast than inland", respectively. (2) The differences in ecological resilience among urban agglomerations characterize the largest portion of the total area. The values of the differences within urban agglomerations are observed, in descending order, in BTH, YRD, and PRD. (3) Regarding the structure of spatial linkages, that in BTH is more dependent on bilateral factors, whereas the importance of core cities in the PRD is clearly greater. (4) In BTH, there is an urgent need to relieve the ecological pressure on the central cities. To increase the level of ecological resilience in the YRD, controlling the landscape pattern of water systems and the ecological quality of water sources should be prioritized. The ecological linkage effect between small city circles in the PRD region should not be ignored.
C1 [Wang, Huiping; Ge, Qi] Xian Univ Finance & Econ, Resource Environm & Reg Econ Res Ctr, Xian 710100, Peoples R China.
C3 Xi'an University of Finance & Economics
RP Wang, HP (corresponding author), Xian Univ Finance & Econ, Resource Environm & Reg Econ Res Ctr, Xian 710100, Peoples R China.
EM wanghuiping@xaufe.edu.cn
FU National Social Science Fund of China [23XTJ001]; Shaanxi Soft Science
   Foundation [2024ZC-YBXM-075]
FX This work was supported by the National Social Science Fund of China
   (No. 23XTJ001) , the Shaanxi Soft Science Foundation (2024ZC-YBXM-102) ,
   and the Shaanxi Soft Science Foundation (2024ZC-YBXM-075) .
CR Abdi R, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112560
   Balland PA, 2017, ECON GEOGR, V93, P1, DOI 10.1080/00130095.2016.1205947
   Bouska KL, 2019, ECOL INDIC, V101, P1094, DOI 10.1016/j.ecolind.2019.02.002
   Chen MK, 2024, ECOL INDIC, V167, DOI 10.1016/j.ecolind.2024.112607
   Costanza R, 1995, ECOL ECON, V15, P193, DOI 10.1016/0921-8009(95)00048-8
   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
   Costanza R, 2012, ECOL ENG, V45, P24, DOI 10.1016/j.ecoleng.2012.03.023
   Daily GC, 2000, SCIENCE, V289, P395, DOI 10.1126/science.289.5478.395
   Du YW, 2024, REG STUD MAR SCI, V77, DOI 10.1016/j.rsma.2024.103658
   [冯一凡 Feng Yifan], 2023, [生态学报, Acta Ecologica Sinica], V43, P5648
   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
   Holt AR, 2015, ECOSYST SERV, V16, P33, DOI 10.1016/j.ecoser.2015.08.007
   Hu H, 2024, ENVIRON IMPACT ASSES, V106, DOI 10.1016/j.eiar.2024.107540
   Huang CB, 2019, SCI TOTAL ENVIRON, V650, P1, DOI 10.1016/j.scitotenv.2018.08.320
   Huang J, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110763
   Huang XJ, 2018, ECOL INDIC, V87, P47, DOI 10.1016/j.ecolind.2017.12.043
   Jiang C, 2016, ENVIRON MONIT ASSESS, V188, DOI 10.1007/s10661-016-5368-2
   Jie Y, 2024, ECOL INDIC, V166, DOI 10.1016/j.ecolind.2024.112315
   Lautenbach S, 2011, ECOL INDIC, V11, P676, DOI 10.1016/j.ecolind.2010.09.007
   Lee CC, 2024, J CLEAN PROD, V443, DOI 10.1016/j.jclepro.2024.141082
   Li D, 2023, ENVIRON SCI POLLUT R, V30, P34793, DOI 10.1007/s11356-022-24696-w
   Liao ZJ, 2024, HUM SOC SCI COMMUN, V11, DOI 10.1057/s41599-024-03851-3
   [刘桂林 Liu Guilin], 2014, [生态学报, Acta Ecologica Sinica], V34, P3311
   Liu XY, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-70465-9
   [刘晓平 Liu Xiaoping], 2016, [生态学报, Acta Ecologica Sinica], V36, P7479
   Lu WX, 2024, ENVIRON SCI POLLUT R, V31, P8566, DOI 10.1007/s11356-023-31647-6
   [罗慧 Luo Hui], 2022, [自然灾害学报, Journal of Natural Disasters], V31, P111
   LV T.G., 2023, Regional Research and Development, V42, P54, DOI DOI 10.3969/J.ISSN.1003-2363.2023.01.010
   Lyhne I, 2021, ENVIRON IMPACT ASSES, V86, DOI 10.1016/j.ejar.2020.106500
   Ma Q., 2008, Geogr. Res., V37, P158
   Ma XJ, 2018, ENVIRON SCI POLLUT R, V25, P20880, DOI 10.1007/s11356-018-1949-7
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   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
   Qin MM, 2024, ENERG CONVERS MAN-X, V22, DOI 10.1016/j.ecmx.2024.100601
   Rapport David J., 1995, Journal of Aquatic Ecosystem Health, V4, P97, DOI 10.1007/BF00044793
   Shi XY, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111726
   [陶洁怡 Tao Jieyi], 2022, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V31, P1975
   Theodorou P, 2022, CURR OPIN INSECT SCI, V52, DOI 10.1016/j.cois.2022.100922
   TURNER MG, 1989, ANNU REV ECOL SYST, V20, P171, DOI 10.1146/annurev.es.20.110189.001131
   Wang Bing, 2009, Yingyong Shengtai Xuebao, V20, P417
   [汪东川 Wang Dongchuan], 2023, [生态学报, Acta Ecologica Sinica], V43, P6321
   Wang HP, 2023, ENVIRON SCI POLLUT R, V30, P70541, DOI 10.1007/s11356-023-27434-y
   Wang HP, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136172
   [王丽霞 Wang Lixia], 2017, [生态学报, Acta Ecologica Sinica], V37, P6176
   [王少剑 Wang Shaojian], 2021, [地理学报, Acta Geographica Sinica], V76, P973
   Wang T, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111748
   Wang WJ, 2014, ENVIRON SCI POLICY, V44, P62, DOI 10.1016/j.envsci.2014.07.004
   Wang YY, 2024, ENVIRON IMPACT ASSES, V108, DOI 10.1016/j.eiar.2024.107613
   [谢高地 Xie Gaodi], 2003, [自然资源学报, Journal of Natural Resources], V18, P189
   [谢高地 Xie Gaodi], 2015, [自然资源学报, Journal of Natural Resources], V30, P1243
   [修春亮 Xiu Chunliang], 2018, [地理学报, Acta Geographica Sinica], V73, P2315
   Xue D, 2021, ECOL INDIC, V127, DOI 10.1016/j.ecolind.2021.107784
   [燕守广 Yan Shouguang], 2020, [自然资源学报, Journal of Natural Resources], V35, P1109
   Yin ZX, 2024, INT REV ECON FINANC, V94, DOI 10.1016/j.iref.2024.103384
   [于伯华 Yu Bohua], 2004, [中国人口·资源与环境, China Population·Resources and Environment], V14, P68
   [袁晓玲 Yuan Xiaoling], 2019, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V28, P2165
   Zeng C., 2022, J. Nat. Res., V37, P3118, DOI DOI 10.31497/ZRZYXB.20221207
   [张秋凤 Zhang Qiufeng], 2022, [经济地理, Economic Geography], V42, P54
   Zhao YX, 2024, ENVIRON SCI POLLUT R, V31, P17156, DOI 10.1007/s11356-024-32271-8
   Zhu H, 2024, ENERGIES, V17, DOI 10.3390/en17153840
   Zhu YX, 2019, BMC PLANT BIOL, V19, DOI [10.1186/s12870-019-1712-3, 10.1186/s12879-019-4396-2, 10.1186/s12906-019-2504-x]
NR 64
TC 1
Z9 1
U1 65
U2 65
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD DEC
PY 2024
VL 169
AR 112944
DI 10.1016/j.ecolind.2024.112944
EA DEC 2024
PG 19
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA P1R7W
UT WOS:001375775400001
OA gold
DA 2025-04-22
ER

PT J
AU Feng, ML
   Ren, JF
   He, J
   Chan, FKS
   Wu, CF
AF Feng, Meili
   Ren, Jianfeng
   He, Jun
   Chan, Faith Ka Shun
   Wu, Chaofan
TI Potency of the pandemic on air quality: An urban resilience perspective
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE COVID-19; Air quality; Urban resilience
ID BEIJING OLYMPICS; RESIDENCE TIME; POLLUTION; COVID-19; PM2.5;
   POLLUTANTS; PARTICLES; SHANGHAI; HANGZHOU; CITY
AB Since the outbreak of COVID-19 pandemic, the lockdown policy across the globe has brought improved air quality while fighting against the coronavirus. After the closure, urban air quality was subject to emission reduction of air pollutants and rebounded to the previous level after the potency period of recession. Different response patterns exhibit divergent sensitivities of urban resilience in regard to air pollution. In this paper, we investigate the post-lockdown AQI values of 314 major cities in China to analyse their differential effects on the influence factors of urban resilience. The major findings of this paper include: 1) Cities exhibit considerable range of resilience with their AQI values which are dropped by 21.1% per day, took 3.97 days on average to reach the significantly decreased trough point, and reduced by 49.3% after the lockdown initiatives. 2) Mega cities and cities that locate as the focal points of transportation for nearby provinces, together with those with high AQI values, were more struggling to maintain a good air quality with high rebounds. 3) Urban resilience shows divergent spatial sensi-tivities to air pollution controls. Failing to consider multi-dimensional factors besides from geomorphological and economical activities could lead to uneven results of environmental policies. The results unveil key drivers of urban air pollution mitigation, and provide valuable insights for prediction of air quality in response to anthro-pogenic interference events under different macro-economic contexts. Research findings in this paper can be adopted for prevention and management of public health risks from the perspective of urban resilience and en-vironmental management in face of disruptive outbreak events in future. (c) 2021 Elsevier B.V. All rights reserved.
C1 [Feng, Meili; Chan, Faith Ka Shun] Univ Nottingham Ningbo China, Sch Geog Sci, Ningbo 315100, Peoples R China.
   [Ren, Jianfeng] Univ Nottingham Ningbo China, Sch Comp Sci, Ningbo 315100, Peoples R China.
   [He, Jun] Univ Nottingham Ningbo China, Dept Chem & Environm Engn, Ningbo 315100, Peoples R China.
   [Wu, Chaofan] Zhejiang Normal Univ, Coll Geog & Environm Sci, Jinhua 321004, Zhejiang, Peoples R China.
C3 University of Nottingham Ningbo China; University of Nottingham Ningbo
   China; University of Nottingham Ningbo China; Zhejiang Normal University
RP Feng, ML (corresponding author), Univ Nottingham Ningbo China, Sch Geog Sci, Ningbo 315100, Peoples R China.
EM meili.feng@nottingham.edu.cn
RI He, jun/LCW-1246-2024; Ren, Jianfeng/D-4160-2017; He, Jun/E-3468-2014;
   Chan, Faith Ka Shun/H-1541-2017
OI He, Jun/0000-0001-8056-0347; Chan, Faith Ka Shun/0000-0001-6091-6596;
   Feng, Meili/0000-0002-2305-6934
FU National Natural Science Foundation of China [51909126]; Natural Science
   Foundation of Zhejiang Province [LQ19D010007]; Interdisciplinary
   Flexible Research Fund [E01200500006]; University of Nottingham
FX The authors would like to thank the anonymous reviewers for their
   valuable suggestions for this paper. Wewould also like to send our
   gratitude for the support by the National Natural Science Foundation of
   China (No. 51909126); the Natural Science Foundation of Zhejiang
   Province (No. LQ19D010007); and the Interdisciplinary Flexible Research
   Fund (No. E01200500006) supported by the University of Nottingham.
   Gratitudes are also offered to Xinyu Guo, Shengyi Zhou, Youtian Peng and
   Yizhou Chen who helped with the data collection and organisation for
   this project.
CR Acuto M, 2020, NAT SUSTAIN, V3, P977, DOI 10.1038/s41893-020-00620-3
   Adams MD, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140516
   [Anonymous], 2003, STAT PATTERN RECOGNI
   Baldasano JM, 2020, SCI TOTAL ENVIRON, V741, DOI 10.1016/j.scitotenv.2020.140353
   Bashir MF, 2020, ENVIRON RES, V187, DOI 10.1016/j.envres.2020.109652
   Berman JD, 2020, SCI TOTAL ENVIRON, V739, DOI 10.1016/j.scitotenv.2020.139864
   BOLIN B, 1974, TELLUS, V26, P185, DOI 10.1111/j.2153-3490.1974.tb01966.x
   Bouffanais R, 2020, NATURE, V583, P352, DOI 10.1038/d41586-020-02072-3
   Cariolet JM, 2018, SCI TOTAL ENVIRON, V615, P588, DOI 10.1016/j.scitotenv.2017.09.334
   Carlson CJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18150-z
   Chakraborty I, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138882
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Chauhan A, 2020, ENVIRON RES, V187, DOI 10.1016/j.envres.2020.109634
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Chen K, 2021, J ENVIRON SCI, V106, P47, DOI 10.1016/j.jes.2021.01.010
   Cheshmehzangi A., 2020, INTRO CITY OUTBREAK, P1
   Collivignarelli MC, 2020, SCI TOTAL ENVIRON, V732, DOI 10.1016/j.scitotenv.2020.139280
   Dantas G, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.139085
   Duha JD, 2008, SCI TOTAL ENVIRON, V400, P238, DOI 10.1016/j.scitotenv.2008.05.002
   Dutheil F, 2020, ENVIRON POLLUT, V263, DOI 10.1016/j.envpol.2020.114466
   ESMEN NA, 1971, ATMOS ENVIRON, V5, P571, DOI 10.1016/0004-6981(71)90113-2
   Fattorini D, 2020, ENVIRON POLLUT, V264, DOI 10.1016/j.envpol.2020.114732
   Griffiths J, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0222
   Hamed KH, 1998, J HYDROL, V204, P182, DOI 10.1016/S0022-1694(97)00125-X
   Han Y, 2015, REV REG STUD, V45, P131
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu JL, 2015, ENVIRON INT, V84, P17, DOI 10.1016/j.envint.2015.06.014
   Huang XF, 2012, ATMOS CHEM PHYS, V12, P4897, DOI 10.5194/acp-12-4897-2012
   Hussain Md., 2019, J OPEN SOURCE SOFTW, V4, P1556, DOI [DOI 10.21105/JOSS.01556, 10.21105/joss.01556]
   Kanniah KD, 2020, SCI TOTAL ENVIRON, V736, DOI 10.1016/j.scitotenv.2020.139658
   Kerimray A, 2020, SCI TOTAL ENVIRON, V730, DOI 10.1016/j.scitotenv.2020.139179
   Nakada LYK, 2020, SCI TOTAL ENVIRON, V730, DOI 10.1016/j.scitotenv.2020.139087
   Leach M, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105233
   Li HW, 2019, SCI TOTAL ENVIRON, V648, P1121, DOI 10.1016/j.scitotenv.2018.08.219
   Li L, 2020, SCI TOTAL ENVIRON, V732, DOI 10.1016/j.scitotenv.2020.139282
   Li MM, 2021, ATMOS ENVIRON, V246, DOI 10.1016/j.atmosenv.2020.118103
   Lian XB, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140556
   Mahato S, 2020, SCI TOTAL ENVIRON, V730, DOI 10.1016/j.scitotenv.2020.139086
   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
   Muhammad S, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138820
   Rich DQ, 2012, JAMA-J AM MED ASSOC, V307, P2068, DOI 10.1001/jama.2012.3488
   Rodríguez-Urrego D, 2020, ENVIRON POLLUT, V266, DOI 10.1016/j.envpol.2020.115042
   Saadat S, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138870
   Salma I, 2020, ATMOS CHEM PHYS, V20, P15725, DOI 10.5194/acp-20-15725-2020
   Sharma S, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138878
   Shi PJ, 2014, SCI CHINA EARTH SCI, V57, P2676, DOI 10.1007/s11430-014-4889-1
   Tobías A, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138540
   Wang Q, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138915
   Wang T, 2010, ATMOS CHEM PHYS, V10, P7603, DOI 10.5194/acp-10-7603-2010
   Wang YC, 2020, SCI TOTAL ENVIRON, V731, DOI 10.1016/j.scitotenv.2020.139133
   Xu H, 2020, SCI TOTAL ENVIRON, V731, DOI 10.1016/j.scitotenv.2020.139211
   Yu H, 2018, AEROSOL AIR QUAL RES, V18, P2038, DOI 10.4209/aaqr.2018.01.0014
   Yu SX, 2003, NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, P313, DOI 10.1109/iccv.2003.1238361
   Yue S, 2002, ADV WATER RESOUR, V25, P325, DOI 10.1016/S0309-1708(01)00049-5
   Zangari S, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140496
   Zheng B, 2021, EARTH SYST SCI DATA, V13, P2895, DOI 10.5194/essd-13-2895-2021
   Zheng B, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abd4998
   Zheng H, 2020, SCI TOTAL ENVIRON, V739, DOI 10.1016/j.scitotenv.2020.140000
   [郑景云 Zheng Jingyun], 2013, [科学通报, Chinese Science Bulletin], V58, P3088
   Zoran MA, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.139825
NR 61
TC 19
Z9 19
U1 7
U2 89
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 JAN 20
PY 2022
VL 805
AR 150248
DI 10.1016/j.scitotenv.2021.150248
EA SEP 2021
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UY6YU
UT WOS:000701667700006
PM 34536865
OA Green Published
DA 2025-04-22
ER

PT J
AU Ayub, B
   Naderpajouh, N
   Boukamp, F
   McGough, T
AF Ayub, Bilal
   Naderpajouh, Nader
   Boukamp, Frank
   McGough, Tony
TI Housing market bubbles and urban resilience: Applying systems theory
SO CITIES
LA English
DT Article
DE Housing market; Urban resilience; Systems theory; Market bubbles; Market
   structure
ID REAL-ESTATE BUBBLE; FINANCIAL CRISIS; MONETARY LIQUIDITY; PRICE BUBBLES;
   POLICY; CHINA; BOOM; UK; FUNDAMENTALS; CITIES
AB In this paper, we aim to connect the academic discourses of housing market and urban resilience. For this purpose, we discussed the housing market and its performance within the broader housing system, with a specific attention to the transient state of the housing market bubble. Through a systematic literature review, the housing system is framed based on the involved actors and their interactions. This systems theory based view is then used to provide a broader definition of the variations in the market performance within the urban resilience literature. In this sense, the theoretical underpinning of the literature of resilience within the systems and the observed variations in the housing market performance is discussed in view of shocks and stressors to the system, as well as equilibria and responses to disturbances. The aim is to provide a foundation for an alternative theoretical framework that focuses on interactions within the market and can be used to understand the impact of the housing market's financial drivers on urban resilience.
C1 [Ayub, Bilal; Naderpajouh, Nader; Boukamp, Frank; McGough, Tony] RMIT Univ, Coll Design & Social Context, Sch Property Construct & Project Management, GPO Box 2476, Melbourne, Vic 3001, Australia.
C3 Royal Melbourne Institute of Technology (RMIT)
RP Ayub, B (corresponding author), RMIT Univ, Coll Design & Social Context, Sch Property Construct & Project Management, GPO Box 2476, Melbourne, Vic 3001, Australia.
EM bilal.ayub@rmit.edu.au; nader.naderpajouh@rmit.edu.au;
   frank.boukamp@rmit.edu.au; tony.mcgough@rmit.edu.au
RI Naderpajouh, Nader/AAD-1525-2020; McGough, Tony/ABB-7905-2021
OI Boukamp, Frank/0000-0002-0211-2028; , Tony/0000-0002-2126-4617;
   Naderpajouh, Nader/0000-0001-9628-9766
FU Australian Government Research Training Program Scholarship / RTP
   Stipend Scholarship through RMIT University, Melbourne, Australia
FX The first author would like to acknowledge the financial support for
   this research provided by Australian Government Research Training
   Program Scholarship / RTP Stipend Scholarship through RMIT University,
   Melbourne, Australia. 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 funding agency.
CR Aalbers M., 2016, FINANCIALIZATION HOU
   Aarseth W, 2017, INT J PROJ MANAG, V35, P1071, DOI 10.1016/j.ijproman.2016.11.006
   Ambrose BW, 2013, J MONEY CREDIT BANK, V45, P477, DOI 10.1111/jmcb.12011
   [Anonymous], 2011, Future Global Shocks: Improving Risk Governance, DOI [DOI 10.1787/9789264114586-EN, 10.1787/9789264114586-en]
   Anop S., 2015, Apartment Price Determinants: A Comparison between Sweden and Germany
   Antoniucci V, 2016, LAND USE POLICY, V59, P580, DOI 10.1016/j.landusepol.2016.10.004
   Arce O, 2011, AM ECON J-MACROECON, V3, P212, DOI 10.1257/mac.3.1.212
   Baker E, 2017, CITIES, V62, P146, DOI 10.1016/j.cities.2016.10.001
   Ball M., 1986, HOUSING STUD, P147, DOI [https://doi.org/10.1080/02673038608720573, DOI 10.1080/02673038608720573]
   Barcelo C., 2019, RISK JOB LOSS HOUSEH
   Barnett CK, 2000, J ORGAN CHANGE MANAG, V13, P74, DOI 10.1108/09534810010310258
   Baur DG, 2017, PAC-BASIN FINANC J, V44, P113, DOI 10.1016/j.pacfin.2017.06.001
   Bene C., 2012, 405 IDS, V2012, DOI [10.1111/j.2040-0209.2012.00405.x, DOI 10.1111/J.2040-0209.2012.00405.X]
   Berkovec J, 2012, REAL ESTATE ECON, V40, pS8, DOI 10.1111/j.1540-6229.2012.00352.x
   Biggs R., 2015, APPL RESILIENCE THIN
   Bone J, 2010, BRIT J SOCIOL, V61, P231, DOI 10.1111/j.1468-4446.2010.01311.x
   Bostic R, 2014, J HOUS ECON, V24, P1, DOI 10.1016/j.jhe.2014.02.001
   Bosworth B, 2009, ASIAN ECON PAP, V8, P146, DOI 10.1162/asep.2009.8.3.146
   Brody S, 2013, URBAN STUD, V50, P789, DOI 10.1177/0042098012448551
   Brown PJB, 2008, URBAN STUD, V45, P2225, DOI 10.1177/0042098008095866
   Brueckner JK, 2012, J URBAN ECON, V71, P230, DOI 10.1016/j.jue.2011.09.002
   Brunnermeier MK, 2008, REV FINANC STUD, V21, P135, DOI 10.1093/rfs/hhm043
   Byrne M, 2018, HOUS POLICY DEBATE, V28, P50, DOI 10.1080/10511482.2016.1257999
   Camilleri D, 2011, INT J HOUS MARK ANAL, V4, P31, DOI 10.1108/17538271111111820
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Case KE, 2012, BROOKINGS PAP ECO AC, P265
   Case KE, 2003, BROOKINGS PAP ECO AC, P299
   Charmes E, 2015, INT J URBAN REGIONAL, V39, P581, DOI 10.1111/1468-2427.12194
   Chen KJ, 2017, AM ECON J-MACROECON, V9, P73, DOI 10.1257/mac.20140234
   Coaffee J, 2009, TERRORISM, RISK AND THE GLOBAL CITY: TOWARDS URBAN RESILIENCE, P1
   Cox A., 2002, ENG CONSTR ARCHIT MA, V9, P409
   Crabtree L, 2018, INT J HOUS POLICY, V18, P15, DOI 10.1080/14616718.2016.1198083
   Cumming GS, 2017, TRENDS ECOL EVOL, V32, P695, DOI 10.1016/j.tree.2017.06.014
   Cumming GS, 2016, TRENDS ECOL EVOL, V31, P622, DOI 10.1016/j.tree.2016.04.009
   Czerniak A, 2018, OPEN ECON REV, V29, P261, DOI 10.1007/s11079-017-9452-1
   Davidson K, 2019, CITIES, V92, P1, DOI 10.1016/j.cities.2019.03.012
   Dehesh A, 1999, INT J URBAN REGIONAL, V23, P147, DOI 10.1111/1468-2427.00183
   Deng YH, 2018, CHINA ECON REV, V48, P205, DOI 10.1016/j.chieco.2016.10.011
   Dey AK, 2001, PERS UBIQUIT COMPUT, V5, P4, DOI 10.1007/s007790170019
   Doorn L V., 2019, Hot Property: The Housing Market in Major Cities, P3, DOI DOI 10.1007/978-3-030-11674-3_1
   Duca JV, 2010, J FINANC STABIL, V6, P203, DOI 10.1016/j.jfs.2010.05.002
   Duca John V, 2011, Time Series Estimates of US Mortgage Constraints and Regional Home Supply
   Ellis L, 2011, HOUSING STUD, V26, P1215, DOI 10.1080/02673037.2011.615145
   Esteban M, 2008, J POST KEYNESIAN EC, V30, P353, DOI 10.2753/PKE0160-3477300303
   Fassio O, 2013, SOC INDIC RES, V110, P479, DOI 10.1007/s11205-011-9940-4
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Foskett N., 1999, MANAGING EXTERNAL RE, P33
   Fraser P, 2008, J REAL ESTATE FINANC, V37, P71, DOI 10.1007/s11146-007-9060-8
   FRED, 2019, S P DOW JON IND LLC
   Gaffney M, 2009, AM J ECON SOCIOL, V68, P855, DOI 10.1111/j.1536-7150.2009.00657.x
   Garino G, 2004, SOUTH ECON J, V70, P777, DOI 10.2307/4135272
   Gibb K, 2003, URBAN STUD, V40, P887, DOI 10.1080/0042098032000074227
   Given L.M., 2008, SAGE ENCY QUALITATIV, DOI 10.4135/9781412963909
   Gjerstad S, 2009, CRIT REV, V21, P269, DOI 10.1080/08913810902934117
   Gochoco-Bautista MS, 2009, ASIAN ECON PAP, V8, P69, DOI 10.1162/asep.2009.8.1.69
   Goddard J, 2009, PUBLIC MONEY MANAGE, V29, P277, DOI 10.1080/09540960903205881
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Green RK, 2016, REG SCI URBAN ECON, V61, P86, DOI 10.1016/j.regsciurbeco.2016.09.005
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Haila A, 1999, INT J URBAN REGIONAL, V23, P583, DOI 10.1111/1468-2427.00214
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Hendershott PH, 2000, J REAL ESTATE FINANC, V20, P67, DOI 10.1023/A:1007831922319
   Henneberry J, 2005, PLANNING, PUBLIC POLICY AND PROPERTY MARKETS, P105
   Himmelberg C, 2005, J ECON PERSPECT, V19, P67, DOI 10.1257/089533005775196769
   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
   Holtemöller O, 2010, GER ECON REV, V11, P465, DOI 10.1111/j.1468-0475.2009.00494.x
   Houle JN, 2014, AM J PUBLIC HEALTH, V104, P1073, DOI 10.2105/AJPH.2013.301774
   Huang J, 2017, J PROP RES, V34, P108, DOI 10.1080/09599916.2017.1321574
   Huang MC, 2017, Q REV ECON FINANC, V63, P34, DOI 10.1016/j.qref.2016.04.014
   Hui ECM, 2014, HABITAT INT, V43, P221, DOI 10.1016/j.habitatint.2014.03.008
   Hui ECM, 2010, PHYSICA A, V389, P1445, DOI 10.1016/j.physa.2009.12.007
   Hui ECM, 2017, HABITAT INT, V64, P71, DOI 10.1016/j.habitatint.2017.04.013
   Index C.R., 2014, CITY RESILIENCE FRAM
   Ivanova MN, 2017, IND CORP CHANGE, V26, P1, DOI 10.1093/icc/dtw013
   Jackson K, 2018, REG SCI URBAN ECON, V68, P130, DOI 10.1016/j.regsciurbeco.2017.10.005
   Jiang R, 2018, J CLEAN PROD, V173, P225, DOI 10.1016/j.jclepro.2017.06.147
   Jones C, 2002, URBAN STUD, V39, P549, DOI 10.1080/00420980220112829
   Kanoh S, 1999, JPN ECON REV, V50, P212, DOI 10.1111/1468-5876.00113
   Kim BH, 2011, ECON MODEL, V28, P1415, DOI 10.1016/j.econmod.2011.02.001
   Kim KH, 2009, HOUSING STUD, V24, P7, DOI 10.1080/02673030802550128
   Kingsley G. T., 2009, IMPACTS FORECLOSURES, V757, P786
   Kitchenham B. A., 2007, Technical report
   KLIR GJ, 1985, SYST RES, V2, P131, DOI 10.1002/sres.3850020205
   Kraatz JA, 2018, AUST PLAN, V55, P174, DOI 10.1080/07293682.2019.1632361
   LaCour-Little M, 2011, J HOUS ECON, V20, P81, DOI 10.1016/j.jhe.2010.11.002
   Lai PY, 2017, CHINA WORLD ECON, V25, P44, DOI 10.1111/cwe.12205
   Laurian L, 2009, PLAN THEORY PRACT, V10, P369, DOI 10.1080/14649350903229810
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Levine E., 2017, Strategic resilience assessment Guidelines
   Levitt SD, 2008, REV ECON STAT, V90, P599, DOI 10.1162/rest.90.4.599
   Li J, 2016, URBAN STUD, V53, P2654, DOI 10.1177/0042098015594594
   Lind H, 2009, INT J HOUS MARK ANAL, V2, P78, DOI 10.1108/17538270910939574
   Lovell H., 2004, J ENV POLICY PLANNIN, V6, P35, DOI [DOI 10.1080/1523908042000259677, https://doi.org/10.1080/1523908042000259677, 10.1080/1523908042000259677]
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Martin R, 2011, J ECON GEOGR, V11, P587, DOI 10.1093/jeg/lbq024
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mikhed V, 2009, J HOUS ECON, V18, P140, DOI 10.1016/j.jhe.2009.03.001
   Mitchell T., 2012, ODI background note, P1
   OIZUMI E, 1994, ENVIRON PLANN A, V26, P199, DOI 10.1068/a260199
   Paciorek A, 2013, J URBAN ECON, V77, P11, DOI 10.1016/j.jue.2013.04.001
   Piat M, 2015, URBAN STUD, V52, P2366, DOI 10.1177/0042098014548138
   Pope JC, 2008, J URBAN ECON, V63, P498, DOI 10.1016/j.jue.2007.03.003
   Redmond W, 2013, J MACROMARKETING, V33, P117, DOI 10.1177/0276146712474824
   Richmond P, 2017, EVOL INST ECON REV, V14, P79, DOI 10.1007/s40844-017-0072-7
   Riddel M, 1999, J HOUS ECON, V8, P272, DOI 10.1006/jhec.1999.0251
   Roche MJ, 2001, ECON MODEL, V18, P281, DOI 10.1016/S0264-9993(00)00040-7
   Rosenthal SS, 2008, J URBAN ECON, V63, P816, DOI 10.1016/j.jue.2007.06.003
   Roy S, 2012, INT REV ECON FINANC, V24, P270, DOI 10.1016/j.iref.2012.04.001
   Sagara B., 2018, RESILIENCE MEASUREME
   Salat S, 2017, INT J URBAN SUSTAIN, V9, P107, DOI 10.1080/19463138.2016.1277227
   Schoen EJ, 2017, J BUS ETHICS, V146, P805, DOI 10.1007/s10551-016-3052-7
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9061032
   Shaw K, 2012, PLAN THEORY PRACT, V13, P308
   Shaw M, 2004, ANNU REV PUBL HEALTH, V25, P397, DOI 10.1146/annurev.publhealth.25.101802.123036
   Shen S., 2019, The Routledge Handbook of Urban Resilience, V1st, P117
   Shi S, 2018, REAL ESTATE ECON, V46, P59, DOI 10.1111/1540-6229.12206
   Shiller RJ, 2009, BE J ECON ANAL POLI, V9, DOI 10.2202/1935-1682.2222
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Squires G, 2019, LAND USE POLICY, V81, P167, DOI 10.1016/j.landusepol.2018.10.018
   Starr MA, 2012, J ECON ISSUES, V46, P143, DOI 10.2753/JEI0021-3624460106
   Teng HJ, 2017, URBAN STUD, V54, P1463, DOI 10.1177/0042098016631297
   Teng HJ, 2013, HABITAT INT, V39, P8, DOI 10.1016/j.habitatint.2012.10.009
   Tsai IC, 2017, EMPIR ECON, V53, P599, DOI 10.1007/s00181-016-1138-9
   Tsai IC, 2015, INT J STRATEG PROP M, V19, P1, DOI 10.3846/1648715X.2014.973465
   Tsai IC, 2013, HABITAT INT, V40, P73, DOI 10.1016/j.habitatint.2013.02.006
   Tsolacos S, 1998, ENVIRON PLANN A, V30, P1409, DOI 10.1068/a301409
   Tu Q, 2018, HOUSING STUD, V33, P408, DOI 10.1080/02673037.2017.1346786
   Tutin C, 2014, J HOUS BUILT ENVIRON, V29, P277, DOI 10.1007/s10901-013-9388-8
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Van Der Heijden H., 2013, W EUROPEAN HOUSING S, V46
   Vaughan E., 2018, Resilience Measurement Practical Guidance Note Series 3: Resilience Capacity Measurement. Resilience-Evaluation-Analysis and Learning (REAL) Associate Award
   Walker B, 2012, RESILIENCE THINKING
   Walks A, 2014, INT J URBAN REGIONAL, V38, P256, DOI 10.1111/j.1468-2427.2012.01184.x
   Wang AM, 2016, URBAN STUD, V53, P936, DOI 10.1177/0042098015572975
   Wang K, 2019, URBAN STUD, V56, P2688, DOI 10.1177/0042098018800435
   Wangen KR, 2019, HUM VACC IMMUNOTHER, V15, P228, DOI 10.1080/21645515.2018.1520582
   Watkins CA, 2001, ENVIRON PLANN A, V33, P2235, DOI 10.1068/a34162
   Werner E.E., 1971, The children of Kauai: A longitudinal study from the prenatal period to age ten
   Wilkinson S., 2004, RES METHODS CLIN HLT
   Williams B, 2016, URBAN RES PRACT, V9, P204, DOI 10.1080/17535069.2016.1174401
   Wong KY, 2001, JPN ECON REV, V52, P382, DOI 10.1111/1468-5876.00202
   Wu Y, 2018, APPL ECON, V50, P691, DOI 10.1080/00036846.2017.1340569
   Xiao Q, 2016, APPL ECON, V48, P4271, DOI 10.1080/00036846.2016.1156231
   Xiao Q, 2010, URBAN STUD, V47, P1725, DOI 10.1177/0042098009356482
   Yan Y, 2018, APPL ECON LETT, V25, P1051, DOI 10.1080/13504851.2017.1394968
   Yu HY, 2015, FRONT ECON CHINA, V10, P137, DOI 10.3868/s060-004-015-0007-3
   Zarif FA, 2020, OPT MATER, V106, DOI 10.1016/j.optmat.2020.109925
   Zhang HY, 2016, HOUS THEORY SOC, V33, P23, DOI 10.1080/14036096.2015.1092467
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zhou WX, 2003, PHYSICA A, V329, P249, DOI 10.1016/S0378-4371(03)00600-9
NR 153
TC 11
Z9 11
U1 12
U2 71
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 NOV
PY 2020
VL 106
AR 102925
DI 10.1016/j.cities.2020.102925
PG 14
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA NY8MJ
UT WOS:000576636800010
PM 32934431
OA Green Published
DA 2025-04-22
ER

PT J
AU Sun, Y
   Wang, YA
   Zhou, X
   Chen, W
AF Sun, Ying
   Wang, Yanan
   Zhou, Xue
   Chen, Wei
TI Are shrinking populations stifling urban resilience? Evidence from 111
   resource-based cities in China
SO CITIES
LA English
DT Article
DE Population shrinkage; Economic resilience; Geographical evolution tree;
   Spatial lag model
ID ECONOMIC RESILIENCE; EVOLUTION TREE; UNITED-STATES; PERSPECTIVE;
   TRANSFORMATION; ECONOMETRICS; EXPERIENCE; RESPONSES; EUROPE; CRISIS
AB Improving urban economic resilience is crucial for achieving urban economic growth and sustainable development. However, population shrinkage is not conducive to improving economic resilience. Few studies have examined the impact of population shrinkage in resource-based cities (RBCs) on economic resilience. This study analyzes the effects of population shrinkage on the economic resilience of RBCs to provide insights for enhancing the ability of RBCs to effectively navigate various acute shocks and chronic pressures. We create an evaluation system to assess the economic resilience of RBCs, investigating the economic stability, diversity, innovation, and recovery aspects of 111 RBCs in China. Geo-tree, spatial lag, and mediating effects models are applied to examine the impact of population shrinkage on economic resilience and its spillover effects. The results show that cities with high levels of economic resilience are concentrated in the central and eastern regions of China. Population shrinkage in regression and growth cities has a significant negative effect on economic resilience. Additionally, population shrinkage in recession cities has a positive spillover effect on the economic resilience of surrounding regions. Lastly, the degree of informatization partially mediates the relationship between population shrinkage and economic resilience.
C1 [Sun, Ying; Wang, Yanan; Chen, Wei] Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Peoples R China.
   [Zhou, Xue] Chinese Acad Sci, Inst Geog Sci & Resources, Beijing, Peoples R China.
   [Chen, Wei] 3 Taicheng Rd, Yangling, Shaanxi, Peoples R China.
C3 Northwest A&F University - China; Chinese Academy of Sciences
RP Chen, W (corresponding author), 3 Taicheng Rd, Yangling, Shaanxi, Peoples R China.
EM chen_wei@nwafu.edu.cn
RI Wang, Yanan/HSG-2381-2023
OI Wang, Yanan/0000-0002-7955-9645; Chen, Wei/0000-0003-1280-7234
FU National Natural Science Foundation of China [72074181]; National Social
   Science Foundation of China [20CJY023]; Innovation Capability Support
   Program of Shaanxi [2021KJXX-12]; Soft Science Research Program of
   Shaanxi [2023-CX-RKX-151]
FX Acknowledgments This study was funded by the National Natural Science
   Foundation of China (72074181) , the National Social Science Foundation
   of China (20CJY023) , Innovation Capability Support Program of Shaanxi
   (2021KJXX-12) , and Soft Science Research Program of Shaanxi
   (2023-CX-RKX-151) . The authors would like to thank the anonymous
   referees for their helpful suggestions and corrections on the earlier
   draft of our paper.
CR Angulo AM, 2018, ANN REGIONAL SCI, V60, P349, DOI 10.1007/s00168-017-0815-8
   ANSELIN L, 1988, PAP REG SCI ASSOC, V65, P11
   Arbolino R., 2018, EZ, P97, DOI [10.1432/91436, DOI 10.1432/91436]
   Asongu S. A., 2021, EUROPEAN XTRAMILE CT, V184, P472, DOI [10.1177/00438200211052045, DOI 10.1177/00438200211052045]
   Beauregard RA, 2009, ENVIRON PLANN A, V41, P514, DOI 10.1068/a40139a
   Bernt M, 2014, INT J URBAN REGIONAL, V38, P1749, DOI 10.1111/1468-2427.12101
   Boltaevna S. G., 2021, J CONT ISSUES BUSINE, V27, P138
   Bontje M., 2012, BUILD ENVIRON, V38, P153, DOI [10.2148/benv.38.2.153, DOI 10.2148/BENV.38.2.153]
   Bruneau M., 2007, WHITE PAPER SDR GRAN
   Capello R, 2015, J ECON GEOGR, V15, P951, DOI 10.1093/jeg/lbu053
   Chapple K, 2010, CAMB J REG ECON SOC, V3, P85, DOI 10.1093/cjres/rsp031
   Chen W, 2018, J CLEAN PROD, V205, P525, DOI 10.1016/j.jclepro.2018.09.106
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   Crescenzi R, 2016, CAMB J REG ECON SOC, V9, P13, DOI 10.1093/cjres/rsv031
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Deacon L., 2015, RESILIENCY RESOURCE, P724, DOI [10.2495/SDP150601, DOI 10.2495/SDP150601]
   Deng TT, 2019, CITIES, V86, P210, DOI 10.1016/j.cities.2018.09.017
   Di Caro P, 2017, PAP REG SCI, V96, P93, DOI 10.1111/pirs.12168
   Döringer S, 2020, EUR PLAN STUD, V28, P1693, DOI 10.1080/09654313.2019.1604635
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Eva M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137514
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gfder, 2016, PREP MAP COMM RES EA
   Giannakis E, 2017, EUR PLAN STUD, V25, P1394, DOI 10.1080/09654313.2017.1319464
   Hartt M, 2019, ANN AM ASSOC GEOGR, V109, P1651, DOI 10.1080/24694452.2019.1580132
   HauSSermann H., 1988, Soziologische Stadtforschung, P78, DOI DOI 10.1007/978-3-322-83617-55
   He SY, 2014, REG CITIES, V71, P152
   Hollander JB, 2011, URBAN AFF REV, V47, P129, DOI 10.1177/1078087410379099
   Hollander JustinB., 2009, Progress in Planning, V72, P223
   Hospers GJ, 2014, EUR PLAN STUD, V22, P1507, DOI 10.1080/09654313.2013.793655
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Hu XH, 2017, CAMB J REG ECON SOC, V10, P527, DOI 10.1093/cjres/rsx012
   Huang J, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1109857
   Hwang CL, 1981, Multiple attribute decision making: Methods and applications A state-of-theart survey, V186, DOI 10.1007/978-3-642-48318-93
   ISO, 2019, 371232019 ISO
   Johansen C, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000329
   Karimi H. A., 2014, BIG DATA TECHNIQUES, V1st, DOI [10.1201/b16524, DOI 10.1201/B16524]
   Kelsey TW, 2016, APPL ECON PERSPECT P, V38, P191, DOI 10.1093/aepp/ppw005
   Kim J, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142215109
   Liao KC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072320
   Liu EN, 2021, SOCIO-ECON PLAN SCI, V77, DOI 10.1016/j.seps.2021.101022
   Long RY, 2013, ENERG POLICY, V57, P82, DOI 10.1016/j.enpol.2012.10.047
   Long Ying., 2019, Shrinking Cities in China: The Other Facet of Urbanization, DOI 10.1007/978-981-13-2646-2
   Mai X, 2021, HABITAT INT, V109, DOI 10.1016/j.habitatint.2021.102326
   Mallach A, 2017, CITIES, V69, P102, DOI 10.1016/j.cities.2016.09.008
   Man S, 2021, COMPLEXITY, V2021, DOI 10.1155/2021/1935557
   Manville M, 2018, URBAN AFF REV, V54, P451, DOI 10.1177/1078087416675741
   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
   Martinez-Fernandez C, 2016, PROG PLANN, V105, P1, DOI 10.1016/j.progress.2014.10.001
   Mitsova D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020516
   Murdoch J, 2018, CITIES, V75, P30, DOI 10.1016/j.cities.2016.12.006
   Nelle AB, 2016, EUR PLAN STUD, V24, P865, DOI 10.1080/09654313.2015.1109611
   Oikonomou M, 2023, LABOUR ECON, V81, DOI 10.1016/j.labeco.2023.102330
   Ozili P. K., 2020, COVID 19 PANDEMIC EC
   Pallagst K., 2007, 3 PLANNING STORIES
   Papadopoulos T, 2017, J CLEAN PROD, V142, P1108, DOI 10.1016/j.jclepro.2016.03.059
   Peduzzi P, 2009, NAT HAZARD EARTH SYS, V9, P1149, DOI 10.5194/nhess-9-1149-2009
   [彭超 Peng Chao], 2018, [地球信息科学学报, Journal of Geo-Information Science], V20, P57
   Reckien D, 2011, EUR PLAN STUD, V19, P1375, DOI 10.1080/09654313.2011.593333
   Rogov M, 2022, ECOL SOC, V27, DOI 10.5751/ES-13691-270437
   Shi T, 2021, GROWTH CHANGE, V52, P2364, DOI 10.1111/grow.12554
   Short JR, 2014, PROF GEOGR, V66, P112, DOI 10.1080/00330124.2013.765297
   Sorace C, 2016, J CONTEMP ASIA, V46, P304, DOI 10.1080/00472336.2015.1115532
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Tan JT, 2020, GROWTH CHANGE, V51, P362, DOI 10.1111/grow.12352
   Tan JT, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122136
   The State Council, 2013, PLAN SUST DEV RES BA
   Varvara T., 2019, SHRINKING CITIES SUS
   Volkmar F. R., 2013, ENCY AUTISM SPECTRUM, P1973, DOI [10.1007/978-1-4419-1698-3_910, DOI 10.1007/978-1-4419-1698-3_910]
   Walker B, 2004, ECOL SOC, V9
   Wang H, 2021, J URBAN MANAG, V10, P255, DOI 10.1016/j.jum.2021.06.006
   Wang J., 2010, TUTORIALS SPATIAL DA
   Wang J, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102646
   Wang JF, 2012, POPUL ENVIRON, V33, P186, DOI 10.1007/s11111-011-0142-4
   [王劲峰 Wang Jinfeng], 2014, [地理学报, Acta Geographica Sinica], V69, P1326
   Wang QR, 2019, ASIA PAC J TOUR RES, V24, P550, DOI 10.1080/10941665.2019.1610002
   Wang WL, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910677
   Wang XW, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020809
   Wang YA, 2022, ENERGY, V241, DOI 10.1016/j.energy.2021.122519
   Wang YA, 2019, CLEAN TECHNOL ENVIR, V21, P565, DOI 10.1007/s10098-018-1655-7
   Wang Z, 2018, J CLEAN PROD, V183, P343, DOI 10.1016/j.jclepro.2018.02.128
   Wang ZR, 2023, RESOUR CONSERV RECY, V191, DOI 10.1016/j.resconrec.2023.106912
   Wiechmann T, 2012, INT J URBAN REGIONAL, V36, P261, DOI 10.1111/j.1468-2427.2011.01095.x
   Xie MK, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14063650
   Xun XL, 2020, NAT HAZARDS, V103, P557, DOI 10.1007/s11069-020-04000-0
   Yang ZS, 2020, HABITAT INT, V96, DOI 10.1016/j.habitatint.2019.102104
   Yu HC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124754
   Zhang HW, 2022, RESOUR POLICY, V77, DOI 10.1016/j.resourpol.2022.102746
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
   Zhou YN, 2022, J ENVIRON MANAGE, V305, DOI 10.1016/j.jenvman.2021.114402
NR 94
TC 34
Z9 34
U1 110
U2 374
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD OCT
PY 2023
VL 141
AR 104458
DI 10.1016/j.cities.2023.104458
EA JUL 2023
PG 13
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA M3DI8
UT WOS:001029013500001
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Hamel, P
   Hamann, M
   Kuiper, JJ
   Andersson, E
   Arkema, KK
   Silver, JM
   Daily, GC
   Guerry, AD
AF Hamel, Perrine
   Hamann, Maike
   Kuiper, Jan J.
   Andersson, Erik
   Arkema, Katie K.
   Silver, Jess M.
   Daily, Gretchen C.
   Guerry, Anne D.
TI Blending Ecosystem Service and Resilience Perspectives in Planning of
   Natural Infrastructure: Lessons from the San Francisco Bay Area
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE socio-ecological system; nature-based solution; green infrastructure;
   resilience practice; urban planning; action research
ID URBAN RESILIENCE; BOUNDARY OBJECT; ADAPTATION; FRAMEWORK; CITIES;
   REFLECTIONS; CHALLENGES; DYNAMICS; INSIGHTS; PEOPLE
AB Globally, cities face massive environmental and societal challenges such as rapid population growth and climate change. In response, natural infrastructure is increasingly recognized for its potential to enhance resilience and improve human well-being. Here, we examine the role of the ecosystem services and resilience approaches in urban planning, which both aim to sustain the long-term benefits of natural infrastructure in cities. While the two approaches are intertwined and share deep roots in social-ecological systems framing, they confer complementary strengths in practice, which we illustrate with a case study in the San Francisco Bay Area, United States. We show that, at present, the main strength of ecosystem service practice is to provide actionable information, while urban resilience practice supports the development of holistic long-term strategies. We discuss operational limitations of both approaches and suggest that understanding and leveraging their complementary strengths could help bridge the implementation gap between research and practice in urban natural infrastructure planning.
C1 [Hamel, Perrine; Arkema, Katie K.; Silver, Jess M.; Daily, Gretchen C.; Guerry, Anne D.] Stanford Univ, Dept Biol, Nat Capital Project, Stanford, CA USA.
   [Hamel, Perrine; Arkema, Katie K.; Silver, Jess M.; Daily, Gretchen C.; Guerry, Anne D.] Stanford Univ, Woods Inst Environm, Stanford, CA USA.
   [Hamel, Perrine] Nanyang Technol Univ, Asian Sch Environm, Singapore, Singapore.
   [Hamann, Maike] Univ Minnesota, Inst Environm, Nat Capital Project, St Paul, MN 55108 USA.
   [Hamann, Maike] Univ Stellenbosch, Ctr Sustainabil Transit, Stellenbosch, South Africa.
   [Kuiper, Jan J.; Andersson, Erik] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden.
   [Andersson, Erik] Northwest Univ, Unit Environm Sci, Potchefstroom, South Africa.
   [Arkema, Katie K.; Silver, Jess M.; Guerry, Anne D.] Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
C3 Stanford University; Stanford University; Nanyang Technological
   University; University of Minnesota System; University of Minnesota Twin
   Cities; Stellenbosch University; Stockholm University; North West
   University - South Africa; University of Washington; University of
   Washington Seattle
RP Hamel, P (corresponding author), Stanford Univ, Dept Biol, Nat Capital Project, Stanford, CA USA.; Hamel, P (corresponding author), Stanford Univ, Woods Inst Environm, Stanford, CA USA.; Hamel, P (corresponding author), Nanyang Technol Univ, Asian Sch Environm, Singapore, Singapore.
EM perrine.hamel@ntu.edu.sg
RI Hamel, Perrine/HTL-7454-2023; Andersson, Erik/AAE-9771-2019
OI Kuiper, Jan J./0000-0002-6655-9355; Hamel, Perrine/0000-0002-3083-8205;
   Andersson, Erik/0000-0003-2716-5502
FU Marianne and Marcus Wallenberg Foundation; Gordon and Betty Moore
   Foundation; LuEsther T. Mertz Charitable Trust
FX We acknowledge the Marianne and Marcus Wallenberg Foundation, the Gordon
   and Betty Moore Foundation, and the LuEsther T. Mertz Charitable Trust
   for funding this research. We thank Shaikh Fairul Edros Ahmad Shaikh for
   his useful comments on the manuscript and Sara Borgstrom for useful
   discussions in the early stage of writing the manuscript.
CR Abson DJ, 2014, ECOL ECON, V103, P29, DOI 10.1016/j.ecolecon.2014.04.012
   Adapting to Rising Tides, 2020, AD RIS TID BAY AR RE
   Adapting to Rising Tides, 2016, ART APPR
   Albrechts L, 2004, ENVIRON PLANN B, V31, P743, DOI 10.1068/b3065
   Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   Andersson E, 2015, ECOSYST SERV, V12, P165, DOI 10.1016/j.ecoser.2014.08.002
   Anna K, 2016, ECOSYST SERV, V22, P204, DOI 10.1016/j.ecoser.2015.04.006
   [Anonymous], 2015, ECOL ECON, DOI DOI 10.1016/j.ecolecon.2013.07.009
   Arkema KK, 2013, NAT CLIM CHANGE, V3, P913, DOI 10.1038/NCLIMATE1944
   Bai XM, 2016, CURR OPIN ENV SUST, V23, P69, DOI 10.1016/j.cosust.2016.11.010
   Baró F, 2016, LAND USE POLICY, V57, P405, DOI 10.1016/j.landusepol.2016.06.006
   Beaumont Nicola J., 2017, International Journal of Biodiversity Science Ecosystem Services & Management, V13, P68, DOI 10.1080/21513732.2018.1425222
   BenDor TK, 2017, CITIES, V60, P260, DOI 10.1016/j.cities.2016.09.006
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Borgström S, 2019, AMBIO, V48, P463, DOI 10.1007/s13280-018-01142-1
   Braat LC, 2012, ECOSYST SERV, V1, P4, DOI 10.1016/j.ecoser.2012.07.011
   Brand FS, 2007, ECOL SOC, V12
   Bratman GN, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0903
   Brunet L, 2018, LAND USE POLICY, V72, P27, DOI 10.1016/j.landusepol.2017.12.036
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Burkhard B., 2014, LANDSC ONLINE, V34, P1, DOI [10.3097/LO.201434, DOI 10.3097/LO.201434]
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Byrne J, 2012, GEOFORUM, V43, P595, DOI 10.1016/j.geoforum.2011.10.002
   CohenShacham E., 2016, Nature-based Solutions to address global societal challenges, DOI 10.2305/iucn.ch.2016.13.en
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Colls A., 2009, Ecosystem-based adaptation: a natural response to climate change
   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
   Cousins JJ, 2021, ECOL ECON, V180, DOI 10.1016/j.ecolecon.2020.106874
   Crowe PR, 2016, ENVIRON SCI POLICY, V62, P112, DOI 10.1016/j.envsci.2016.04.007
   da Silva JMC, 2017, PERSPECT ECOL CONSER, V15, P32, DOI 10.1016/j.pecon.2016.11.005
   DEAL, 2020, AMST CIT DOUGHN TOOL
   Depietri Y, 2017, THEOR PRACT URB SUST, P91, DOI 10.1007/978-3-319-56091-5_6
   Díaz S, 2018, SCIENCE, V359, P270, DOI 10.1126/science.aap8826
   Díaz S, 2015, CURR OPIN ENV SUST, V14, P1, DOI 10.1016/j.cosust.2014.11.002
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Enfors-Kautsky E., 2018, Wayfinder: a resilience guide for navigating towards sustainable futures
   Ernstson H, 2010, ECOL SOC, V15
   Fisher DR, 2012, ENVIRON POLIT, V21, P26, DOI 10.1080/09644016.2011.643367
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08748-210341
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Fritz M, 2017, THEOR PRACT URB SUST, P51, DOI 10.1007/978-3-319-56091-5_4
   Geneletti D, 2019, SPRINGERBR ENV SCI, P1, DOI 10.1007/978-3-030-20024-4
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Global Covenant of Mayors and C40, 2018, SUMM URB POL MAK WHA, DOI [10.24943/SCPM.2018, DOI 10.24943/SCPM.2018]
   Hansen R, 2015, ECOSYST SERV, V12, P228, DOI 10.1016/j.ecoser.2014.11.013
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   Hochard JP, 2019, P NATL ACAD SCI USA, V116, P12232, DOI 10.1073/pnas.1820067116
   Johnson ML, 2019, ECOL SOC, V24, DOI 10.5751/ES-10924-240401
   Jongman B, 2019, NATURE BASED SOLUTIO
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Keating A, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101355
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Koc CB, 2017, URBAN ECOSYST, V20, P15, DOI 10.1007/s11252-016-0578-5
   Kremer P, 2016, ECOL SOC, V21, DOI 10.5751/ES-08445-210229
   Lafortezza R, 2018, ENVIRON RES, V165, P431, DOI 10.1016/j.envres.2017.11.038
   Langridge SM, 2014, OCEAN COAST MANAGE, V95, P189, DOI 10.1016/j.ocecoaman.2014.03.019
   Lavine E., 2013, ADAPTING GOVERNANCE, DOI [10.1057/9781137307224, DOI 10.1057/9781137307224]
   Luederitz C, 2015, ECOSYST SERV, V14, P98, DOI 10.1016/j.ecoser.2015.05.001
   Masterson VA, 2019, GLOB SUSTAIN, V2, DOI 10.1017/sus.2019.5
   McPhearson T, 2016, ECOL INDIC, V70, P566, DOI 10.1016/j.ecolind.2016.03.054
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   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
   Moller MS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103513
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Myers J. P., 1997, Natures Services: Societal Dependence on Natural Ecosystems
   Nutters H., 2012, Addressing social vulnerability and equity in climate change adaptation planning
   Ochoa V, 2017, ECOSYST SERV, V26, P155, DOI 10.1016/j.ecoser.2017.06.011
   Palomo Ignacio, 2016, Advances in Ecological Research, V54, P245
   Pascual U, 2017, CURR OPIN ENV SUST, V26-27, P7, DOI 10.1016/j.cosust.2016.12.006
   Pauleit S., 2017, Oxford research encyclopedia of environmental science, DOI DOI 10.1093/ACREFORE/9780199389414.013.23
   Phillips CA, 2020, NAT CLIM CHANGE, V10, P586, DOI 10.1038/s41558-020-0804-2
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Reyers B, 2018, ANNU REV ENV RESOUR, V43, P267, DOI 10.1146/annurev-environ-110615-085349
   Reyers B, 2013, FRONT ECOL ENVIRON, V11, P268, DOI 10.1890/120144
   Rockefeller Foundation ARUP, 2014, CIT RES IND
   Romero-Lankao P, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121224
   Rosenthal Amy, 2015, International Journal of Biodiversity Science Ecosystem Services & Management, V11, P190, DOI 10.1080/21513732.2014.966149
   Saarikoski H, 2018, ECOSYST SERV, V29, P579, DOI 10.1016/j.ecoser.2017.07.019
   Samuelsson K, 2019, LANDSCAPE URBAN PLAN, V187, P70, DOI 10.1016/j.landurbplan.2019.03.015
   Schleyer C, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071107
   Sellberg MM, 2018, J ENVIRON MANAGE, V217, P906, DOI 10.1016/j.jenvman.2018.04.012
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Star SL, 2010, SCI TECHNOL HUM VAL, V35, P601, DOI 10.1177/0162243910377624
   Steger C, 2018, ECOL ECON, V143, P153, DOI 10.1016/j.ecolecon.2017.07.016
   Tallis H, 2012, BIOSCIENCE, V62, P977, DOI 10.1525/bio.2012.62.11.7
   Thompson K, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100950
   Thorén H, 2014, INT STUD PHILOS SCI, V28, P303, DOI 10.1080/02698595.2014.953343
   Turkelboom F, 2018, ECOSYST SERV, V29, P566, DOI 10.1016/j.ecoser.2017.10.011
   UN, 2016, HABITAT 3 NEW URB AG
   United Nations, 2021, TRANSFORMING OUR WOR
   van de Ven FHM, 2016, ENVIRON SCI POLICY, V66, P427, DOI 10.1016/j.envsci.2016.06.010
   Wagenaar H, 2015, URBAN STUD, V52, P1265, DOI 10.1177/0042098013505655
   Walker B, 2012, RESILIENCE PRACTICE, DOI [10.5822/978-1-61091-231-0, DOI 10.5822/978-1-61091-231-0]
   Wamsler C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08266-210131
   Wang D, 2015, LANDSCAPE URBAN PLAN, V133, P53, DOI 10.1016/j.landurbplan.2014.09.007
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   World Bank, 2017, UPSC NAT BAS FLOOD P
   World Bank Group, 2021, RES RAT SYST METH BU
   WWAP/UN-Water, 2018, UN WORLD WAT DEV REP
NR 108
TC 14
Z9 14
U1 6
U2 56
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 JUN 24
PY 2021
VL 9
AR 601136
DI 10.3389/fenvs.2021.601136
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA TF2UQ
UT WOS:000670567500001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Jiao, LD
   Li, DR
   Zhang, Y
   Zhu, YH
   Huo, XS
   Wu, Y
AF Jiao, Liudan
   Li, Dongrong
   Zhang, Yu
   Zhu, Yinghan
   Huo, Xiaosen
   Wu, Ya
TI Identification of the Key Influencing Factors of Urban Rail Transit
   Station Resilience against Disasters Caused by Rainstorms
SO LAND
LA English
DT Article
DE rainstorm disaster; urban rail transit station; resilience; ISM; SNA
ID SOCIAL NETWORK ANALYSIS; FLOOD RISK-ASSESSMENT; VULNERABILITY ANALYSIS;
   METRO SYSTEMS; MANAGEMENT; IMPLEMENTATION; MITIGATION; FRAMEWORK;
   EDUCATION; BARRIERS
AB Improving the ability of the urban rail transit system to cope with rainstorm disasters is of great significance to ensure the safe travel of residents. In this study, a model of the hierarchical relationship of the influencing factors is constructed from the resilience perspective, in order to research the action mechanisms of the influencing factors of urban rail transit stations susceptible to rainstorm disaster. Firstly, the concept of resilience and the three attributes (resistance, recovery, and adaptability) are interpreted. Based on the relevant literature, 20 influencing factors are discerned from the 3 attributes of the resilience of urban rail transit stations. Subsequently, an interpretative structural model (ISM) is utilised to analyse the hierarchical relationship among the influencing factors. The key influencing factors of station resilience are screened out using social network analysis (SNA). Combined with ISM and SNA for analysis, the result shows that the key influencing factors are: "Flood prevention monitoring capability"; "Water blocking capacity"; "Flood prevention capital investment"; "Personnel cooperation ability"; "Emergency plan for flood prevention"; "Flood prevention training and drill"; "Publicity and education of flood prevention knowledge"; and "Regional economic development level". Therefore, according to the critical influencing factors and the action path of the resilience influencing factors, station managers can carry out corresponding flood control work, providing a reference for enhancing the resilience of urban rail transit stations.
C1 [Jiao, Liudan; Li, Dongrong; Zhang, Yu; Zhu, Yinghan; Huo, Xiaosen] Chongqing Jiaotong Univ, Sch Econ & Management, Chongqing 400074, Peoples R China.
   [Wu, Ya] Southwest Univ, Coll Resources & Environm, Chongqing 400715, Peoples R China.
C3 Chongqing Jiaotong University; Southwest University - China
RP Zhang, Y (corresponding author), Chongqing Jiaotong Univ, Sch Econ & Management, Chongqing 400074, Peoples R China.
EM jld@cqjtu.edu.cn; 622190122047@mails.cqjtu.edu.cn; yuzhang@cqjtu.edu.cn;
   zhuyinghan@mails.cqjtu.edu.cn; huoxiaosen@cqjtu.edu.cn;
   mswuya@swu.edu.cn
RI Jiao, Liudan/HIK-0853-2022; Zhang, Yu/GOK-0090-2022
OI ZHANG, Yu/0000-0002-1851-9033
FU National Natural Science Foundation of China [71901043, 72004187];
   Humanities and Social Science project of Ministry of Education of China
   [21YJC630169]; Science and Technology Research Project of Chongqing
   Education Commission [KJQN201900713, KJQN202000724]; Humanities and
   Social Science Research Project of Chongqing Education Commission
   [2020QNGL31, 21SKJD072]; Natural Science Foundation of Chongqing
   [cstc2021jcyj-msxmX1010]; Social Science Planning Project of Chongqing
   [2020QNGL25]
FX This research was funded by the National Natural Science Foundation of
   China (Grant No.71901043, No. 72004187), the Humanities and Social
   Science project of Ministry of Education of China (Grant No.
   21YJC630169), the Science and Technology Research Project of Chongqing
   Education Commission (Grant No.KJQN201900713, Grant No. KJQN202000724),
   the Humanities and Social Science Research Project of Chongqing
   Education Commission (Grant No. 2020QNGL31, Grant No. 21SKJD072), the
   Natural Science Foundation of Chongqing (Grant No.
   cstc2021jcyj-msxmX1010)and the Social Science Planning Project of
   Chongqing (Grant No. 2020QNGL25).
CR Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Ali SM, 2020, COMPUT IND ENG, V149, DOI 10.1016/j.cie.2020.106843
   Andresen K, 2005, MANAGING MODERN ORG, P883
   Aoki Y, 2016, PROCEDIA ENGINEER, V165, P2, DOI 10.1016/j.proeng.2016.11.730
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bu Y, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121392
   Camarasa C, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10040070
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Campbell H, 2020, J GREEN BUILD, V15, P237
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   China Association of Metros, STAT AN REP URB RAIL
   Collins T, 2020, J GREEN BUILD, V15, P201
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Fezi BA, 2020, J GREEN BUILD, V15, P185
   Forero-Ortiz E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12135291
   FREEMAN LC, 1979, SOC NETWORKS, V1, P215, DOI 10.1016/0378-8733(78)90021-7
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Han B., 2021, Urban rapid rail transit, V34, P5
   Hauck J, 2016, ECOL SOC, V21, DOI 10.5751/ES-08596-210249
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hoterova K., 2021, TRANSP RES PROC, V55, P1431, DOI 10.1016/j.trpro.2021.07.129
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Ishigaki T, 2009, ADVANCES IN WATER RESOURCES AND HYDRAULIC ENGINEERING, VOLS 1-6, P141, DOI 10.1007/978-3-540-89465-0_27
   Jevtic R.B., 2017, FACTA U, V13, P197, DOI [10.22190/FUWLEP1603197J, DOI 10.22190/FUWLEP1603197J]
   Kinker P, 2021, MATER TODAY-PROC, V46, P9752, DOI 10.1016/j.matpr.2020.09.129
   Klein RJT, 1998, GEOGR J, V164, P259, DOI 10.2307/3060615
   Leng ZH, 2021, RESOUR POLICY, V73, DOI 10.1016/j.resourpol.2021.102233
   Leobons CM, 2019, TRANSP RES PROC, V37, P322, DOI 10.1016/j.trpro.2018.12.199
   Li Congying, 2012, Ecohydrology & Hydrobiology, V12, P287, DOI 10.2478/v10104-012-0029-8
   Li M, 2019, IEEE ACCESS, V7, P71221, DOI 10.1109/ACCESS.2019.2919105
   Li W, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101193
   Li W, 2013, PROCD SOC BEHV, V96, P1322, DOI 10.1016/j.sbspro.2013.08.150
   Li Y, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102540
   Liu JC, 2020, INT J ELEC POWER, V121, DOI 10.1016/j.ijepes.2020.106124
   Liu LJ, 2020, MATH BIOSCI ENG, V17, P7302, DOI 10.3934/mbe.2020374
   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, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101682
   Lyu HM, 2018, SCI TOTAL ENVIRON, V626, P1012, DOI 10.1016/j.scitotenv.2018.01.138
   Ma SQ, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100974
   MALONE DW, 1975, P IEEE, V63, P397, DOI 10.1109/PROC.1975.9765
   Marks J, 2013, J OBES, V2013, DOI 10.1155/2013/919287
   Mbaru EK, 2017, BIOL CONSERV, V210, P222, DOI 10.1016/j.biocon.2017.03.031
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mukeshimana MC, 2021, RENEW ENERG, V176, P402, DOI 10.1016/j.renene.2021.05.104
   Obi L, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11060227
   Park I, 2018, WATER-SUI, V10, DOI 10.3390/w10111558
   Patel MN, 2021, J CLEAN PROD, V317, DOI 10.1016/j.jclepro.2021.128387
   Paton D., 2001, Disaster Prevent Manag, V10, P270, DOI [10.1108/EUM0000000005930, DOI 10.1108/EUM0000000005930, https://doi.org/10.1108/EUM0000000005930]
   Pei Y., 2019, Study on the vulnerability and survivability of the urban rail transit network under the rainstorm
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Prell C, 2009, SOC NATUR RESOUR, V22, P501, DOI 10.1080/08941920802199202
   Quan R., 2011, 2011 19 INT C GEOINF, P1, DOI [DOI 10.1109/GEOINFORMATICS.2011.5981176, 10.1109/GeoInformatics.2011.5981176]
   Resilience Alliance, 2007, URB RES RES PROSP
   Saylor P, 2012, J GREEN BUILD, V7, P3, DOI 10.3992/jgb.7.4.3
   Shen LY, 2016, J CLEAN PROD, V127, P214, DOI 10.1016/j.jclepro.2016.03.151
   Sohouenou PYR, 2021, INT J CRIT INFR PROT, V34, DOI 10.1016/j.ijcip.2021.100448
   Sun D, 2015, SUSTAINABILITY-BASEL, V7, P6919, DOI 10.3390/su7066919
   Suresh M., 2021, MATER TODAY-PROC, DOI 10.1016/j.matpr.2020.11.547
   Sushil, 2012, GLOBAL J FLEXIBLE SY, V13, P87, DOI [DOI 10.1007/S40171-012-0008-3, 10.1007/S40171-012-0008-3, 10.1007/s40171-012-0008-3]
   Tan T, 2019, J CLEAN PROD, V219, P949, DOI 10.1016/j.jclepro.2019.02.141
   Tan YT, 2017, J ENVIRON MANAGE, V193, P8, DOI 10.1016/j.jenvman.2017.01.058
   Testa AC, 2015, TRANSPORT RES REC, P29, DOI 10.3141/2532-04
   Thieken AH, 2014, NAT HAZARD EARTH SYS, V14, P33, DOI 10.5194/nhess-14-33-2014
   Tsai MH, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101393
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wang GP, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13040637
   [王军武 Wang Junwu], 2019, [中国安全科学学报, China Safety Science Journal（CSSJ）], V29, P1
   Wang YN, 2020, J ADV TRANSPORT, V2020, DOI 10.1155/2020/3235429
   WARFIELD JN, 1973, IEEE T SYST MAN CYB, VSMC3, P121, DOI 10.1109/TSMC.1973.5408493
   Wu H, 2021, MATHEMATICS-BASEL, V9, DOI 10.3390/math9121421
   Wu MM, 2021, J HYDROL, V599, DOI 10.1016/j.jhydrol.2021.126393
   Yao Y., 2019, THESIS NO CHINA U WA, P21
   Yip WS, 2021, ENVIRON IMPACT ASSES, V90, DOI 10.1016/j.eiar.2021.106628
   Yu HY, 2019, ADV CIV ENG, V2019, DOI 10.1155/2019/5393171
   Zhang WL, 2016, STRUCT SAF, V62, P57, DOI 10.1016/j.strusafe.2016.06.003
   Zhang Y, 2021, ENVIRON IMPACT ASSES, V89, DOI 10.1016/j.eiar.2021.106580
   Zhu YH, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph181910349
   Zhuang P., 2010, J BEIJING U CIV ENG, V26, P1
NR 83
TC 23
Z9 25
U1 21
U2 171
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2021
VL 10
IS 12
AR 1298
DI 10.3390/land10121298
PG 21
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA YA9IP
UT WOS:000738638400001
OA gold
DA 2025-04-22
ER

PT J
AU Yang, ZC
   Liu, XB
   Wang, JF
   Yan, XD
   Shen, R
   Huo, ZQ
AF Yang, Zhicheng
   Liu, Xiaobing
   Wang, Jiangfeng
   Yan, Xuedong
   Shen, Rui
   Huo, Zhengqi
TI Assessment on resilience of urban agglomeration transportation system
   considering passenger choice and load-capacity factor
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Comprehensive transportation; Network resilience; Mobile signaling data;
   Path choice; Cascading failure
ID HIGH-SPEED RAIL; NETWORK; VULNERABILITY
AB Intercity transportation system (ICTS), characterized by large-scale, high spatial-temporal concentration, and sparser departure frequencies, is more vulnerable in unexpected events. Understanding the resilience characteristics of ICTS is crucial for maintaining the network service capabilities. Aiming to conduct effective resilience assessment on ICTS, we develop the resilience simulation model by introduce dual-regulated parameters for network load and capacity into cascading propagation model under interruption events, and quantify the impact of travel distance, time costs, and route redundancy on travel choice of passengers. Meanwhile, propose service resilience indicators from both the passenger's and the system's perspectives. Finally, we conduct a case study on the resilience of ICTS in Beijing-Tianjin-Hebei Urban Agglomerations (BTH-UA). The results show that: 1) Multimodal transportation systems usually exhibit better resilience than unimodal systems. 2) For various resilience optimization metrics, it is essential to choose targeted recovery strategies to maximize network resilience. 3) Traveler sensitivity to travel time significantly influences the resilience of passenger-based network services. 4) Changes in transportation supply capacity and travel demand will impact the system's resilience. The research findings can provide valuable references for the resilience development and management of urban transportation systems.
C1 [Yang, Zhicheng; Wang, Jiangfeng; Yan, Xuedong; Shen, Rui] Beijing Jiaotong Univ, Sch Traff & Transportat, 3 Shangyuancun Haidian Dist, Beijing 100044, Peoples R China.
   [Liu, Xiaobing; Huo, Zhengqi] Beijing Jiaotong Univ, Sch Syst Sci, 3 Shangyuancun Haidian Dist, Beijing 100044, Peoples R China.
C3 Beijing Jiaotong University; Beijing Jiaotong University
RP Liu, XB (corresponding author), Beijing Jiaotong Univ, 3 Shangyuancun Haidian Dist, Beijing 100044, Peoples R China.
EM lxiaobing@bjtu.edu.cn
RI Yan, Xuedong/S-3681-2019
FU Na-tional Key Research and Development Program of China
   [2023YFC3009600]; National Natural Science Foundation of China
   [72242102]; Central Guiding Local Science and Technology Development
   Fund Projects of Hebei Province [236Z0802G]
FX This research was partially supported by a project funded by Na-tional
   Key Research and Development Program of China (No.2023YFC3009600) ,
   National Natural Science Foundation of China (No. 72242102) , and
   Central Guiding Local Science and Technology Development Fund Projects
   of Hebei Province (No.236Z0802G) .
CR Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   BAK P, 1987, PHYS REV LETT, V59, P381, DOI 10.1103/PhysRevLett.59.381
   Besinovic N, 2022, RELIAB ENG SYST SAFE, V224, DOI 10.1016/j.ress.2022.108538
   Calabrese F, 2013, TRANSPORT RES C-EMER, V26, P301, DOI 10.1016/j.trc.2012.09.009
   Chen MY, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187410
   Chen X., 2024, Resilience measurement and analysis of intercity public transportation network, V131
   Cheng G., 2008, DESTINATION CHOICE M
   Clark K.L., 2018, Resilience of the US national airspace system airport network, V19, P3785
   De Bona AA, 2016, MATH PROBL ENG, V2016, DOI 10.1155/2016/3898762
   Duan JX, 2023, TRANSPORT RES C-EMER, V147, DOI 10.1016/j.trc.2023.104017
   Fang C., 2022, On the resilience assessment of complementary transportation networks under natural hazards, V109
   Fang CL, 2017, LANDSCAPE URBAN PLAN, V162, P126, DOI 10.1016/j.landurbplan.2017.02.014
   Fn YB, 2016, IFAC PAPERSONLINE, V49, P37, DOI 10.1016/j.ifacol.2016.05.007
   Galaitsi S., 2021, The need to reconcile concepts that characterize systems facing threats, V41, P3
   Ganin A.A., 2016, Operational resilience: concepts, design and analysis, P1
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gonçalves LAPJ, 2020, J TRANSP GEOGR, V85, DOI 10.1016/j.jtrangeo.2020.102727
   González MC, 2008, NATURE, V453, P779, DOI 10.1038/nature06958
   Gorji M-A, 2022, Transport Eng, V10
   Hao YC, 2023, RELIAB ENG SYST SAFE, V237, DOI 10.1016/j.ress.2023.109381
   Hao YC, 2023, RELIAB ENG SYST SAFE, V235, DOI 10.1016/j.ress.2023.109220
   Hao YC, 2020, PHYSICA A, V541, DOI 10.1016/j.physa.2019.123373
   He JH, 2017, SUSTAIN CITIES SOC, V32, P569, DOI 10.1016/j.scs.2017.04.014
   Heuermann DF, 2019, J ECON GEOGR, V19, P335, DOI 10.1093/jeg/lby019
   Hong L, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106622
   Hu YQ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14073808
   Huang HJ, 2020, TRANSPORT POLICY, V85, pA1, DOI 10.1016/j.tranpol.2019.09.007
   Janic M, 2015, TRANSPORT RES A-POL, V71, P1, DOI 10.1016/j.tra.2014.10.023
   Jiao J, 2020, Transport Res Part D: Transp Environ, P89
   Jin K, 2023, PHYSICA A, V630, DOI 10.1016/j.physa.2023.129290
   Kamga CN, 2011, TRANSPORT RES C-EMER, V19, P1215, DOI 10.1016/j.trc.2011.02.004
   Lee CC, 2022, TRANSPORT RES D-TR E, V113, DOI 10.1016/j.trd.2022.103496
   Li CB, 2021, ADV CIV ENG, V2021, DOI 10.1155/2021/6658299
   Li FZ, 2021, J CLEAN PROD, V314, DOI 10.1016/j.jclepro.2021.128261
   Li T, 2022, TRANSPORT RES A-POL, V155, P95, DOI 10.1016/j.tra.2021.10.020
   Li T, 2019, 2019 COMPANION OF THE 19TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS-C 2019), P348, DOI 10.1109/QRS-C.2019.00071
   Li T, 2019, TRANSPORT RES A-POL, V127, P55, DOI 10.1016/j.tra.2019.07.008
   Li YG, 2024, J TRANSP GEOGR, V114, DOI 10.1016/j.jtrangeo.2023.103744
   Liao TY, 2018, NAT HAZARDS, V93, P469, DOI 10.1007/s11069-018-3310-3
   Liu XM, 2022, PHYS REP, V971, P1, DOI 10.1016/j.physrep.2022.04.002
   Liu ZZ, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131350
   Lyapin S, 2020, Transport Res Proced, V45, P939
   Ma F, 2020, J CLEAN PROD, V265, DOI 10.1016/j.jclepro.2020.121747
   Marada M, 2023, APPL GEOGR, V156, DOI 10.1016/j.apgeog.2023.102998
   Motter AE, 2002, PHYS REV E, V66, DOI 10.1103/PhysRevE.66.065102
   Mu XF, 2022, J GEOGR SCI, V32, P1766, DOI 10.1007/s11442-022-2022-5
   Nogal M, 2016, RELIAB ENG SYST SAFE, V156, P84, DOI 10.1016/j.ress.2016.07.020
   Osei-Asamoah A, 2014, TRANSPORT RES REC, P120, DOI 10.3141/2467-13
   Ouyang M, 2014, RELIAB ENG SYST SAFE, V123, P38, DOI 10.1016/j.ress.2013.10.003
   Pan X, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108483
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Shen Y, 2020, PHYSICA A, V545, DOI 10.1016/j.physa.2019.123422
   Sun XQ, 2017, TRANSPORT RES E-LOG, V101, P84, DOI 10.1016/j.tre.2017.03.002
   Voltes-Dorta A, 2017, TRANSPORT RES A-POL, V96, P119, DOI 10.1016/j.tra.2016.12.009
   Wang J., 2023, Measurement of functional resilience of transport network: the case of the Beijing subway network, V140, P54
   Wang JJ, 2023, TRANSPORT POLICY, V140, P54, DOI 10.1016/j.tranpol.2023.06.016
   Wang NX, 2023, RELIAB ENG SYST SAFE, V238, DOI 10.1016/j.ress.2023.109478
   Wang XY, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160545
   Wang YQ, 2022, CHINESE J AERONAUT, V35, P189, DOI 10.1016/j.cja.2022.01.009
   Wei GD, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12168369
   Wu JJ, 2006, EUROPHYS LETT, V74, P560, DOI 10.1209/epl/i2005-10551-x
   Xu Z., 2022, Network-based assessment of metro infrastructure with a spatial-temporal resilience cycle framework, V223
   Xu ZZ, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108434
   Yadav N., 2020, Resilience of urban transport network-of-networks under intense flood hazards exacerbated by targeted attacks, V10, P10350
   Yang YH, 2015, SAFETY SCI, V79, P149, DOI 10.1016/j.ssci.2015.06.006
   Yin K, 2023, TRANSPORT RES A-POL, V173, DOI 10.1016/j.tra.2023.103687
   Zhang BW, 2022, COMPUT ENVIRON URBAN, V98, DOI 10.1016/j.compenvurbsys.2022.101872
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   Zhang WJ, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102809
   Zhang YF, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108227
   Zhang Z, 2021, J MANAGE SCI ENG, V6, P86, DOI 10.1016/j.jmse.2021.02.009
   Zhang ZH, 2018, SECUR COMMUN NETW, DOI 10.1155/2018/6254876
   Zhao Z, 2015, PHYSICA A, V433, P204, DOI 10.1016/j.physa.2015.03.030
   Zhong JL, 2020, RELIAB ENG SYST SAFE, V201, DOI 10.1016/j.ress.2020.106916
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
NR 75
TC 0
Z9 0
U1 52
U2 52
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 110527
DI 10.1016/j.ress.2024.110527
EA OCT 2024
PG 16
WC Engineering, Industrial; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Operations Research & Management Science
GA I9Z0J
UT WOS:001333748500001
DA 2025-04-22
ER

PT J
AU Khan, M
   Wu, Q
   Yan, SQ
   Peng, JC
AF Khan, Muhammad
   Wu, Qun
   Yan, Siqi
   Peng, Jianchao
TI Factors Affecting Urban Resilience and Sustainability: Case of Slum
   Dwellers in Islamabad, Pakistan
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
DE Urban resilience; Urban development; Sustainability; Urban
   sustainability; Islamabad; Smart cities
AB This study aims to determine and analyze the factors that are associated with urban resilience and sustainability for the slum inhabitants of Islamabad, Pakistan. This study will adopt a quantitative design to study the significance of factors that affect urban resilience and sustainability in Islamabad's slums, Pakistan. The research method in this study will be a survey questionnaire that was filled by 365 respondents using simple random sampling techniques. To conduct structural equation modeling (SEM), this study will use SmartPLS 3.0 through which all the important results will be gathered that include convergent validity, reliability, factor loading, composite reliability, discriminant validity, R square, and path coefficients. The findings show that the factors that significantly influence urban resilience are geographic size (B = 0.395; p-value = 0.000 < 0.01), preparedness and foresight (B = 0.144; p-value = 0.019 < 0.05), and resource and financing (B = 0.213; p-value = 0.000 < 0.01). In addition, the results highlight that geographic size (B = 0.232; p-value = 0.000 < 0.01) and resource and financing (B = 0.096; p-value = 0.097 < 0.1) are significant to urban sustainability for the slum inhabitants in Islamabad, Pakistan. This study is limited to the geographical bounds of Islamabad, Pakistan, and specifically the slums. Therefore, it could be improved in the future by considering other cities in Pakistan, such as Karachi or conducting a comparative analysis between cities. This study considered a limited number of factors; therefore, further research could explore additional factors that affect urban resilience and urban sustainability.
C1 [Khan, Muhammad; Wu, Qun; Yan, Siqi; Peng, Jianchao] Nanjing Agr Univ, Coll Publ Adm, Nanjing 210095, Peoples R China.
C3 Nanjing Agricultural University
RP Yan, SQ (corresponding author), Nanjing Agr Univ, Coll Publ Adm, Nanjing 210095, Peoples R China.
EM khanmuhammad59@yahoo.com; wuqun@njau.edu.cn; yansiqi@njau.edu.cn;
   pengjianchao@njau.edu.cn
RI Khan, Muhammad/AAL-7733-2020
CR Ajibade I, 2017, INT J DISAST RISK RE, V26, P85, DOI 10.1016/j.ijdrr.2017.09.029
   Andavarapu D., 2016, PLANEXT, V2, DOI [10.17418/planext.2016.7vol.02, DOI 10.17418/PLANEXT.2016.7VOL.02]
   Avkiran NK, 2018, INT SER OPER RES MAN, V267, P1, DOI 10.1007/978-3-319-71691-6_1
   Delgado-Ramos GC, 2017, INT J URBAN SUSTAIN, V9, P151, DOI 10.1080/19463138.2017.1341890
   Childers DL, 2014, LANDSCAPE URBAN PLAN, V125, P320, DOI 10.1016/j.landurbplan.2014.01.022
   Cohen M, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112048
   Collier MJ, 2013, CITIES, V32, pS21, DOI 10.1016/j.cities.2013.03.010
   DOGAN N., 2018, KASTAMONU UNIV KASTA, V26, P697, DOI DOI 10.24106/kefdergi.413303
   Doyle A., 2020, CITIZEN RESPONSIVE U, P282
   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
   Esposito-Vinzi V., 2010, HDB PARTIAL LEAST SQ, P47, DOI [10.1007/978-3-540-32827-8_3, DOI 10.1007/978-3-540-32827-83, DOI 10.1007/978-3-540-32827-8]
   Fisher J., 2015, DISAS MANAGE, P91
   Fletcher AJ, 2017, INT J SOC RES METHOD, V20, P181, DOI 10.1080/13645579.2016.1144401
   Friend R., 2017, The International Encyclopaedia of Geography: People, the Earth, Environment and Technology, P1
   Godfrey N, 2016, Coalition for urban transitions Working Paper
   Hair J.F., 2016, PRIMER PARTIAL LEAST, V2nd
   Hair J.F., 2017, INT J MULTIVARIATE D, V1, P107, DOI [DOI 10.1504/IJMDA.2017.087624, 10.1504/IJMDA.2017.087624]
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   Kumar R., 2019, Research methodology: A step-by-step guide for beginners
   Latan H., 2017, Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Martellozzo F, 2018, APPL GEOGR, V91, P156, DOI 10.1016/j.apgeog.2017.12.004
   McKinney ML, 2018, URBAN FOR URBAN GREE, V29, P334, DOI 10.1016/j.ufug.2017.09.004
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   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
   Mehmood A, 2016, EUR PLAN STUD, V24, P407, DOI 10.1080/09654313.2015.1082980
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   Mullings J., 2018, Current Politics and Economics of South and Central America, V11, P131
   Olazabal M, 2016, ENVIRON INNOV SOC TR, V18, P18, DOI 10.1016/j.eist.2015.06.006
   Pires S.M., 2017, WILEY BLACKWELL ENCY, P1
   Pitidis V, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103573
   Qureshi Z., 2018, PROLIFERATION SLUMS
   Taherdoost H., 2016, INT J ACAD RES MANAG, V5, P28, DOI [10.2139/ssrn.3205040, DOI 10.2139/SSRN.3205040, https://doi.org/10.2139/ssrn.3205040]
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Wong K.K.-K., 2019, Mastering partial least squares structural equation modeling (PLS-SEM) with SmartPLS in 38 hours
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 39
TC 8
Z9 9
U1 7
U2 62
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 2021
VL 147
IS 4
AR 04021053
DI 10.1061/(ASCE)UP.1943-5444.0000749
PG 7
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 WI1KI
UT WOS:000708124500010
DA 2025-04-22
ER

PT J
AU Liu, JN
   Shao, ZG
   Wang, W
AF Liu, Jinning
   Shao, Zhiguo
   Wang, Wei
TI Resilience Assessment and Critical Point Identification for Urban Water
   Supply Systems under Uncertain Scenarios
SO WATER
LA English
DT Article
DE uncertain scenarios; urban water supply system; resilience assessment;
   critical points
ID MANAGEMENT; INFRASTRUCTURE; ADAPTATION; SECURITY; GROWTH; CITIES
AB The urban water supply system environment is becoming more complicated and unpredictable than ever before in the context of global climate change and expanding urbanization. Existing studies have adopted either static or dynamic approaches to assess the resilience of water supply systems without combining the two. Previous literature mostly establishes rigid quantitative metrics for resilience assessment, often without depicting the dynamics and adaptability of system resilience. For example, these studies usually fail to provide a critical point for identifying system resilience. To accurately describe the dynamics and adaptability of water supply system resilience under uncertain scenarios, in this study, we constructed a comprehensive framework based on the qualitative assessment of the input parameters, combining static and dynamic assessment, with the latter playing a dominant role based on the system perspective of pressure-state-influence-response. Taking Qingdao as a case study, we combined this framework with the system resilience theory, and statically assessed the five types of capitals and three attributes of resilience with the capital portfolio approach (CPA). Then, we dynamically assessed the resilience of urban water supply systems and identified critical points with the dynamic socio-technical model coupled with system resilience and the fitting analysis method. The results are as follows: (1) the static assessment results demonstrate an imbalanced development in the levels of the five types of capitals (financial capital, management efficiency, infrastructure, available water resources, and adaptation) and three attributes (robustness, recoverability, and adaptability) in the water supply systems of Qingdao. (2) The dynamic assessment results show that the current resilience trajectory of the water supply systems in Qingdao is that of a city in transition. (3) The fitting analysis shows that robustness (RB) has a linear relationship with resilience, recoverability (RE) has a non-linear relationship with resilience, and the critical points are RB = 0.70 and RE = 1.20. The research findings provide a reference for studying resilience mechanisms, internal attribute relationships, and resilience enhancement measures of urban water supply systems.
C1 [Liu, Jinning; Shao, Zhiguo; Wang, Wei] Qingdao Univ Technol, Sch Management Engn, Qingdao 266520, Peoples R China.
   [Shao, Zhiguo] Tongji Univ Sustainable Dev & New Type Urbanizat, Shanghai 200092, Peoples R China.
C3 Qingdao University of Technology; Tongji University
RP Shao, ZG; Wang, W (corresponding author), Qingdao Univ Technol, Sch Management Engn, Qingdao 266520, Peoples R China.; Shao, ZG (corresponding author), Tongji Univ Sustainable Dev & New Type Urbanizat, Shanghai 200092, Peoples R China.
EM ljinn@163.com; shaozg163@163.com; wangwei@qut.edu.cn
OI Shao, Zhiguo/0000-0002-6044-9948
FU National Natural Science Foundation of China [71874123, 71974122,
   71704162]; Humanities and Social Science Research Youth Fund Project of
   Ministry of Education [17YJC630184]; Open Fund of innovation institute
   for Sustainable Maritime Architecture Research and Technology (iSMART),
   Qingdao University of Technology [C2020-043]
FX This research was funded by the National Natural Science Foundation of
   China (grant Nos. 71874123, 71974122 and 71704162); the Humanities and
   Social Science Research Youth Fund Project of Ministry of Education
   (grant No. 17YJC630184); and Open Fund of innovation institute for
   Sustainable Maritime Architecture Research and Technology (iSMART),
   Qingdao University of Technology (No. C2020-043).
CR Abidin HZ, 2011, NAT HAZARDS, V59, P1753, DOI 10.1007/s11069-011-9866-9
   Akhmouch A, 2016, UTIL POLICY, V43, P14, DOI 10.1016/j.jup.2016.06.004
   Angel S., 2005, The dynamics of global urban expansion
   Appelbaum S.H., 1997, MANAG DECISION, V35, P452
   Balaei B, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000292
   Behboudian M, 2021, SCI TOTAL ENVIRON, V786, DOI 10.1016/j.scitotenv.2021.147447
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Borchardt D., 2013, Integrated Water Resources Management in a Changing World: Lessons Learnt and Innovative Perspectives
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Brown TC, 2019, EARTHS FUTURE, V7, P219, DOI 10.1029/2018EF001091
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   [蔡榕硕 Cai Rongshuo], 2019, [应用海洋学学报, Journal of Applied Oceanography], V38, P514
   Carpenter SR, 2008, ECOL SOC, V13
   Chen P, 2009, J INFRASTRUCT SYST, V15, P200, DOI 10.1061/(ASCE)1076-0342(2009)15:3(200)
   Christodoulou SE, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000224
   Cubillo F, 2019, J APPL WATER ENG RES, V7, P67, DOI 10.1080/23249676.2017.1355758
   Daniell KA, 2015, GLOB ISS WATER POL, V15, P1, DOI 10.1007/978-94-017-9801-3_1
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Garrick D, 2014, ANNU REV ENV RESOUR, V39, P611, DOI 10.1146/annurev-environ-013012-093817
   Hoekstra AY, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba52
   Hoover DJ, 2017, J HYDROL-REG STUD, V11, P234, DOI 10.1016/j.ejrh.2015.12.055
   Joannou D, 2019, WATER-SUI, V11, DOI 10.3390/w11030496
   Klammler H., 2018, Environment Systems & Decisions, V38, P140, DOI 10.1007/s10669-017-9649-2
   Kong JJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236552
   Krueger EH, 2019, EARTHS FUTURE, V7, P1167, DOI 10.1029/2019EF001306
   Krueger E, 2019, GLOBAL ENVIRON CHANG, V56, P66, DOI 10.1016/j.gloenvcha.2019.03.009
   Laio F, 2001, PHYS REV E, V63, DOI 10.1103/PhysRevE.63.036105
   Langhans SD, 2014, ECOL INDIC, V45, P494, DOI 10.1016/j.ecolind.2014.05.014
   Lawson E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051797
   Leigh NG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030918
   [李强 Li Qiang], 2017, [土木工程学报, China Civil Engineering Journal], V50, P65
   Lindskog F., 2003, Astin Bulletin: The Journal of the International Actuarial Association, V33, P209
   Liu J., 2017, MODERN URBAN RES, V9, P32
   Liu J., 2020, J I DISASTER PREV, V22, P9
   Liu JG, 2017, EARTHS FUTURE, V5, P545, DOI 10.1002/2016EF000518
   Mair M, 2017, WATER-SUI, V9, DOI 10.3390/w9020146
   Marlow DR, 2013, WATER RES, V47, P7150, DOI 10.1016/j.watres.2013.07.046
   Minucci G, 2016, J RISK RES, V19, P847, DOI 10.1080/13669877.2016.1200650
   Mortula MM, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000817
   ORourke T.D., 2007, Critical infrastructure, interdependencies, and resilience
   Padowski JC, 2016, WATER RESOUR MANAG, V30, P4913, DOI 10.1007/s11269-016-1461-0
   Qiu W., 2020, WATER WASTEWATER ENG, V56, P44
   Quitana G, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101575
   Raskin P., 1997, COMPREHENSIVE ASSESS
   Rasoulkhani K, 2020, ENVIRON MODELL SOFTW, V125, DOI 10.1016/j.envsoft.2020.104636
   Rasoulkhani K, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0207674
   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
   Savenije HHG, 2000, PHYS CHEM EARTH PT B, V25, P199, DOI 10.1016/S1464-1909(00)00004-6
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Shin S, 2018, WATER-SUI, V10, DOI 10.3390/w10020164
   Short MD, 2012, WATER RESOUR MANAG, V26, P1953, DOI 10.1007/s11269-012-0002-8
   Simonovic SP, 2020, WATER-SUI, V12, DOI 10.3390/w12041208
   Strogatz Steven H, 2018, NONLINEAR DYNAMICS C
   Sweya LN, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000783
   Tamea S, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049074
   Tantri F, 2019, COMPLEXITY, V2019, DOI 10.1155/2019/7950629
   Ulibarri N, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.102005
   Vazquez K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042013
   Walker G, 2015, CIV ENG ENVIRON SYST, V32, P170, DOI 10.1080/10286608.2015.1024112
   Wen L.J., 2016, OCEAN DEV MANAG, V33, P98
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13121619
   [徐一剑 Xu Yijian], 2020, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V16, P88
   Zhao Si-xiang, 2015, Industrial Engineering and Management, V20, P135
NR 65
TC 8
Z9 8
U1 10
U2 76
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD OCT
PY 2021
VL 13
IS 20
AR 2939
DI 10.3390/w13202939
PG 29
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA WS8UG
UT WOS:000715452400001
OA gold
DA 2025-04-22
ER

PT J
AU Li, JJ
   Dong, JJ
   Ren, R
   Chen, ZL
AF Li, Jiaojiao
   Dong, Jianjun
   Ren, Rui
   Chen, Zhilong
TI Modeling Resilience of Metro-Based Urban Underground Logistics System
   Based on Multi-Layer Interdependent Network
SO SUSTAINABILITY
LA English
DT Article
DE metro; underground logistics system; multi-layer interdependent network;
   resilience
ID RAIL TRANSIT; TRANSPORT; FREIGHT; DESIGN; OPTIMIZATION; CITY
AB The metro-based underground logistics system (M-ULS) has been identified as an effective solution to urban problems resulting from the expansion of urban freight traffic. However, there is a paucity of current research that examines the resilience of a M-ULS in the context of unexpected events during operations. Therefore, this paper presents a methodology for assessing the resilience of the M-ULS. The method considers the propagation paths of various failures in a multi-layered, interdependent network that includes topology, functionality, facilities, and information, as well as network performance indicators based on network freight flow and logistics timeliness. The effectiveness of the method is demonstrated using the case of the Nanjing Metro. The results show that the type of disruption, the duration, and the direction of train travel all have a significant impact on the resilience of the M-ULS. The method proposed in this paper provides a scientific basis for the assessment and optimization of M-ULS resilience and also offers new insights into the use of urban rail transit to promote the sustainable development of urban logistics.
C1 [Li, Jiaojiao; Ren, Rui; Chen, Zhilong] Army Engn Univ PLA, Sch Def Engn, 88 Houbiaoying Rd, Nanjing 210007, Peoples R China.
   [Dong, Jianjun] Nanjing Univ Sci & Technol, Sch Sci, Nanjing 210094, Peoples R China.
C3 Army Engineering University of PLA; Nanjing University of Science &
   Technology
RP Chen, ZL (corresponding author), Army Engn Univ PLA, Sch Def Engn, 88 Houbiaoying Rd, Nanjing 210007, Peoples R China.; Dong, JJ (corresponding author), Nanjing Univ Sci & Technol, Sch Sci, Nanjing 210094, Peoples R China.
EM 15850722718@163.com; dongjj@njust.edu.cn; renrui0801@163.com;
   lzc144599@163.com
FU National Natural Science Foundation of China;  [72271125]
FX The authors would like to express their sincerest gratitude to the
   National Natural Science Foundation of China for their financial
   support, specifically by grant no. 72271125.
CR Bi W, 2023, TRANSPORT RES D-TR E, V120, DOI 10.1016/j.trd.2023.103793
   Chen ZL, 2023, TUNN UNDERGR SP TECH, V139, DOI 10.1016/j.tust.2023.105240
   Chung SH, 2021, TRANSPORT RES E-LOG, V153, DOI 10.1016/j.tre.2021.102455
   Cui JQ, 2019, TUNN UNDERGR SP TECH, V87, P122, DOI 10.1016/j.tust.2019.01.003
   Di Z, 2023, COMPUT IND ENG, V185, DOI 10.1016/j.cie.2023.109622
   El Amrani AM, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16135286
   Feng B, 2021, FRONT ENG MANAG, V8, P344, DOI 10.1007/s42524-021-0156-2
   Gao ZY, 2023, FRONT ENG MANAG, V10, P534, DOI 10.1007/s42524-023-0255-3
   Gong CJ, 2024, J CENT SOUTH UNIV, DOI 10.1007/s11771-024-5720-6
   Gong CJ, 2024, TUNN UNDERGR SP TECH, V152, DOI 10.1016/j.tust.2024.105892
   Gong CJ, 2024, CONSTR BUILD MATER, V433, DOI 10.1016/j.conbuildmat.2024.136734
   Gong CJ, 2024, TUNN UNDERGR SP TECH, V147, DOI 10.1016/j.tust.2024.105726
   Hai DJ, 2020, J CLEAN PROD, V260, DOI 10.1016/j.jclepro.2020.121019
   Han L, 2021, RELIAB ENG SYST SAFE, V207, DOI 10.1016/j.ress.2020.107346
   He MX, 2020, COMPUT COMMUN, V154, P465, DOI 10.1016/j.comcom.2020.02.075
   Holguín-Veras J, 2020, TRANSPORT RES A-POL, V137, P383, DOI 10.1016/j.tra.2018.10.036
   Hu H, 2023, IEEE ACCESS, V11, P67600, DOI 10.1109/ACCESS.2023.3291948
   Hu WJ, 2023, TUNN UNDERGR SP TECH, V132, DOI 10.1016/j.tust.2022.104896
   Huang HW, 2023, TUNN UNDERGR SP TECH, V134, DOI 10.1016/j.tust.2022.104929
   Jiao LD, 2024, INT J DISAST RISK RE, V102, DOI 10.1016/j.ijdrr.2024.104258
   Jin TD, 2023, FRONT ENG MANAG, V10, P391, DOI 10.1007/s42524-022-0206-4
   Kong JJ, 2019, RISK ANAL, V39, P1141, DOI 10.1111/risa.13222
   Li SQ, 2024, TRANSPORT RES B-METH, V183, DOI 10.1016/j.trb.2024.102907
   Li ZJ, 2021, TRANSPORT RES E-LOG, V147, DOI 10.1016/j.tre.2020.102205
   Liu W, 2020, RELIAB ENG SYST SAFE, V198, DOI 10.1016/j.ress.2020.106859
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   Liu Y, 2024, FRONT ENG MANAG, V11, P568, DOI 10.1007/s42524-024-0140-8
   Lu B, 2024, J MAR SCI ENG, V12, DOI 10.3390/jmse12071103
   Lu QC, 2024, RELIAB ENG SYST SAFE, V242, DOI 10.1016/j.ress.2023.109726
   Lu QC, 2018, TRANSPORT RES A-POL, V117, P227, DOI 10.1016/j.tra.2018.08.015
   Ma MY, 2022, TRANSPORT RES B-METH, V156, P14, DOI 10.1016/j.trb.2021.12.005
   Marinov Marin, 2013, J. Transp. Lit., V7, P87
   Min O, 2019, RELIAB ENG SYST SAFE, V190, DOI 10.1016/j.ress.2019.106506
   Nickdoost N, 2024, TRANSPORT RES D-TR E, V131, DOI 10.1016/j.trd.2024.104180
   Ouyang M, 2015, RELIAB ENG SYST SAFE, V141, P74, DOI 10.1016/j.ress.2015.03.011
   Ozturk O, 2018, EUR J OPER RES, V267, P1110, DOI 10.1016/j.ejor.2017.12.010
   Pan X, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108483
   Pan Y, 2019, COMPUT IND ENG, V138, DOI 10.1016/j.cie.2019.106113
   Ren R, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17010261
   Serdar MZ, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103452
   Shahooei S, 2019, TUNN UNDERGR SP TECH, V89, P125, DOI 10.1016/j.tust.2019.03.025
   Sun K, 2024, TRANSPORT RES REC, V2678, P111, DOI 10.1177/03611981231223287
   Sun LS, 2018, TRANSPORT RES A-POL, V108, P12, DOI 10.1016/j.tra.2017.12.008
   Turkowski M, 2019, TUNN UNDERGR SP TECH, V93, DOI 10.1016/j.tust.2019.103057
   van der Heijden MC, 2002, INTERFACES, V32, P1, DOI 10.1287/inte.32.4.1.49
   Villa R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084479
   Wang LB, 2024, FRONT ENG MANAG, V11, P79, DOI 10.1007/s42524-023-0291-z
   Wang MM, 2023, J MAR SCI ENG, V11, DOI 10.3390/jmse11051067
   Wei HR, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12219147
   Xie CD, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072758
   Xu M, 2022, RELIAB ENG SYST SAFE, V221, DOI 10.1016/j.ress.2022.108378
   Youn SJ, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16156696
   Zawieska J, 2018, TRANSPORT POLICY, V63, P39, DOI 10.1016/j.tranpol.2017.11.004
   Zhan DM, 2019, J GEOTECH GEOENVIRON, V145, DOI 10.1061/(ASCE)GT.1943-5606.0002169
   Zhang DM, 2018, SAFETY SCI, V106, P230, DOI 10.1016/j.ssci.2018.03.023
   Zhang DM, 2023, COMPUT-AIDED CIV INF, V38, P940, DOI 10.1111/mice.12914
   Zhang H, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14063179
   Zhao LJ, 2021, TUNN UNDERGR SP TECH, V116, DOI 10.1016/j.tust.2021.104086
   Zhao LJ, 2018, TUNN UNDERGR SP TECH, V80, P246, DOI 10.1016/j.tust.2018.06.024
   Zheng SK, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16114370
   Zhong YH, 2019, MATH PROBL ENG, V2019, DOI 10.1155/2019/1979275
NR 61
TC 0
Z9 0
U1 29
U2 29
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 9892
DI 10.3390/su16229892
PG 23
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 N7Z6F
UT WOS:001366474100001
OA gold
DA 2025-04-22
ER

PT J
AU Fekete, A
   Asadzadeh, A
   Ghafory-Ashtiany, M
   Amini-Hosseini, K
   Hetkämper, C
   Moghadas, M
   Ostadtaghizadeh, A
   Rohr, A
   Kötter, T
AF Fekete, Alexander
   Asadzadeh, Asad
   Ghafory-Ashtiany, Mohsen
   Amini-Hosseini, Kambod
   Hetkaemper, Chris
   Moghadas, Mahsa
   Ostadtaghizadeh, Abbas
   Rohr, Adrian
   Koetter, Theo
TI Pathways for advancing integrative disaster risk and resilience
   management in Iran: Needs, challenges and opportunities
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
ID URBAN RESILIENCE; TEHRAN; NETWORK; MODEL
C1 [Fekete, Alexander; Hetkaemper, Chris; Rohr, Adrian] Univ Appl Sci, TH Koeln, Inst Rescue Engn & Civil Protect, Cologne, Germany.
   [Asadzadeh, Asad; Moghadas, Mahsa; Koetter, Theo] Univ Bonn, Inst Geodesy & Geoinformat, Bonn, Germany.
   [Ghafory-Ashtiany, Mohsen] Iranian Earthquake Engn Assoc, Int Inst Earthquake Engn & Seismol, Tehran, Iran.
   [Amini-Hosseini, Kambod] Int Inst Earthquake Engn & Seismol, Tehran, Iran.
   [Ostadtaghizadeh, Abbas] Univ Tehran Med Sci, Sch Publ Hlth, Tehran, Iran.
C3 University of Bonn; Tehran University of Medical Sciences
RP Fekete, A (corresponding author), Univ Appl Sci, TH Koeln, Inst Rescue Engn & Civil Protect, Cologne, Germany.
EM alexander.fekete@th-koeln.de; asad.asadzadeh@uni-bonn.de;
   ashtiany@iiees.ac.ir; kamini@iiees.ac.ir; chris.hetkaemper@th-koeln.de;
   m.moghadas@igg.uni-bonn.de; a-ostadtaghizadeh@sina.tums.ac.ir;
   adrian.rohr@smail.th-koeln.de; tkoetter@uni-bonn.de
RI Amini Hosseini, Kambod/AAR-5200-2020; Ostadtaghizadeh,
   Abbas/AAO-2137-2020; Fekete, Alexander/C-4071-2017
OI Fekete, Alexander/0000-0002-8029-6774; Amini Hosseini,
   Kambod/0000-0002-5989-8826; Ostadtaghizadeh, Abbas/0000-0001-5260-6221;
   Moghadas, Mahsa/0000-0002-2582-0932; Asadzadeh,
   Asad/0000-0002-1432-2663; Hetkamper, Chris/0000-0001-5873-921X
FU German Ministry for Education and Research
FX This article is based on a project that has been funded by the German
   Ministry for Education and Research named INCOR - Basic Infrastructures
   and Services for Enhancing Inclusive Community Disaster Resilience in
   Iran, 2018.
CR Akbari Asanjan A., 2019, An Assessment of the Unprecedented Extreme Precipitation Events over Iran: From Satellite Perspective
   Ambraseys N.N., 1982, NO HIST PERSIAN EART
   Amini-Hosseini K., 2015, 7 INT C SEISM EARTHQ
   Amini-Hosseini K., 2009, J SEISMOL EARTHQ ENG, V10
   Amini-Hosseini K, 2012, RISK HAZARDS CRISIS, V3, DOI 10.1515/1944-4079.1066
   [Anonymous], 2015, A/CONF.224/CRP.1
   [Anonymous], 100 Resilient Cities
   [Anonymous], 2015, Sendai Framework for disaster risk reduction 2015 -2030
   [Anonymous], 2008, 14 WORLD C EARTHQ EN
   Ansari A, 2014, SEISMOL RES LETT, V85, P878, DOI 10.1785/0220130153
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Asadzadeh A., 2014, ENV MANAG SUSTAIN DE, V3, P123
   Asadzadeh A., 2016, CONCEPTUALIZING CONC
   Asadzadeh A., 2016, CONCEPTUALIZING CONC, P143
   Asadzadeh A, 2015, INT J DISAST RISK RE, V14, P504, DOI 10.1016/j.ijdrr.2015.10.002
   Asgharpour E., 2013, INT GEOGR S GEOMED 1, P6
   Ashtiany M.G., 2000, P 12 WORLD C EARTHQ, P1
   Aslani F., 2019, SCI J RESCUE RELI, V11, P63
   Atrachali M, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101231
   Berberian M, 2017, GEOL SOC AM SPEC PAP, V525, P87, DOI 10.1130/2016.2525(04)
   Birkmann J, 2014, URBAN CLIM, V7, P115, DOI 10.1016/j.uclim.2014.01.006
   Borie M, 2019, GLOBAL ENVIRON CHANG, V54, P203, DOI 10.1016/j.gloenvcha.2019.01.001
   Bozorgmehr N., 2013, ARCHIT URBAN PLAN, V11, P131
   Cao H, 2015, J ARID LAND, V7, P567, DOI 10.1007/s40333-015-0127-8
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   DesInventar, 2018, DESINVENTAR PRELIMIN
   Bui DT, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11131589
   Ebadati N., 2012, INT C ENV SCI TECHN, P78
   Fallah-Aliabadi S, 2020, BMC HEALTH SERV RES, V20, DOI 10.1186/s12913-020-4915-2
   Fekete A, 2018, URBAN BOOK SERIES, P1, DOI 10.1007/978-3-319-68606-6
   Fekete A., 2016, Atlas of Vulnerability and Resilience - Pilot version for Germany, Austria, Liechtenstein and Switzerland
   Fekete A., 2019, INCOR BASIC INFRASTR
   Fekete A, 2017, NAT HAZARDS, V86, P151, DOI 10.1007/s11069-016-2720-3
   Firuzi E, 2019, B EARTHQ ENG, V17, P2383, DOI 10.1007/s10518-019-00561-z
   Ghafory-Ashtiani M., 2018, 4 ANN C STRUCT ASS S
   Ghafory-Ashtiany M., 2005, DISASTER RISK MANAGE
   Ghafory-Ashtiany M., 2018, 11 INT C CIV ENG TEH
   Hajibabaee M, 2014, NAT HAZARDS, V74, P2229, DOI 10.1007/s11069-014-1300-7
   Hosseini K.A., 2008, 14 WORLD C EARTHQ EN
   HOSSEINI KA, 2014, INT J DISASTER RESIL, V5, P38, DOI DOI 10.1108/IJDRBE-09-2011-0033
   Hosseini KA, 2014, INT J DISAST RISK RE, V8, P114, DOI 10.1016/j.ijdrr.2014.03.001
   I.R.N. Agency, 2015, FLOOD KILLS 8 PEOPL
   ICLEI, 2018, LOC GOV SUST RES CIT
   IIEES, 2016, KAR DIS MAN MAST PLA
   Japan International Cooperation Agency (JICA), 2000, final report
   JICA, 2004, Final main report
   Jovanovic A., 2018, INNOVATIVE APPROACHE
   Keteklahijani VK, 2019, AIN SHAMS ENG J, V10, P669, DOI 10.1016/j.asej.2018.11.004
   MANAFIAZAR A, 2019, KHARAZMI J EARTH SCI, V4, P199
   Melville Charles., 1984, Iran, V22, P113, DOI DOI 10.2307/4299740
   Meshkini A., 2011, J GEOGRAPHY REGIONAL, V4, P371
   Mili RR, 2018, INT J DISAST RISK RE, V27, P355, DOI 10.1016/j.ijdrr.2017.10.022
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Moglia M, 2018, GLOBAL ENVIRON CHANG, V50, P222, DOI 10.1016/j.gloenvcha.2018.04.009
   Norouzi-Khatiri K., 2013, GEOGR ENV HAZARDS, V2
   Ostad Taghizadeh Abbas, 2012, PLoS Curr, V4, pe4fbbbe1668eef, DOI 10.1371/4fbbbe1668eef
   Ostadtaghizadeh A, 2016, NAT HAZARDS, V83, P1843, DOI 10.1007/s11069-016-2377-y
   Pahl-Weber E., 2013, Urban challenges and urban design approaches for resource-efficient and climate-sensitive urban design in the MENA region
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Pishro M, 2016, International Journal of Human Capital in Urban Management, V1, P159, DOI [10.1186/s40703-017-0069-4, DOI 10.1186/S40703-017-0069-4]
   Raimi Daniel, 2021, RFF Report 21-10
   Re Swiss, 2013, MIND RISK GLOBAL RAN
   Resilience Alliance, 2018, RES 40 YEARS RES THI
   Ritz JF, 2012, J GEOPHYS RES-SOL EA, V117, DOI 10.1029/2012JB009147
   Salehi S, 2019, J ENVIRON HEALTH SCI, V17, P797, DOI 10.1007/s40201-019-00396-5
   Sarvar H., 2011, Journal of Civil Engineering and Urbanism, V1, P39
   Schayegh C, 2012, COMP STUD SOC HIST, V54, P612, DOI 10.1017/S0010417512000254
   Sharifi A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9061032
   Shieh E., 2014, Int. J. Disaster Resil. Built Environ., V5, P413, DOI [10.1108/IJDRBE-04-2011-0017, DOI 10.1108/IJDRBE-04-2011-0017]
   Shirazi MR, 2013, PLAN PERSPECT, V28, P441, DOI 10.1080/02665433.2013.774535
   Statistical Centre of Iran, 2016, 2016 NAT POP HOUS CE
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   UN-Habitat, 2016, NEW URB AG WORLD CIT
   Un-Habitat, 2017, Trends in Urban Resilience
   UNSDG, 2015, TRANSF OUR WORLD 203, DOI [10.1007/s13398-014-0173-7.2, DOI 10.1007/S13398-014-0173-7.2]
   *UNU, 2000, UNU STRAT PLAN 2000
   Vaghefi SA, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-38071-8
   White GF., 2001, GLOB ENV CHANGE PART, V3, P81, DOI [DOI 10.1016/S1464-2867(01)00021-3, 10.3763/ehaz.2001.0308]
   Yari A, 2019, INT J DISAST RISK RE, V38, DOI 10.1016/j.ijdrr.2019.101181
   Zebaradast E., 2005, DO PLANS MATTER MANA
   Zebardast E., 2014, J FINE ARTS ARCHIT P, V19, P1
   Zebardast E, 2006, CITIES, V23, P439, DOI 10.1016/j.cities.2006.07.001
   Ziervogel G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090955
NR 83
TC 20
Z9 20
U1 1
U2 11
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
PY 2020
VL 49
AR 101635
DI 10.1016/j.ijdrr.2020.101635
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 NT5IM
UT WOS:000572974500005
OA hybrid
DA 2025-04-22
ER

PT J
AU Chen, ER
   Zhang, HX
AF Chen, Erdong
   Zhang, Huaxin
TI Research on the impact of artificial intelligence technology on urban
   public health resilience
SO FRONTIERS IN PUBLIC HEALTH
LA English
DT Article
DE artificial intelligence; invention patents; utility model patents;
   design patents; urban public health resilience; spatial effects
ID COLLABORATION
AB Urban public health resilience has become a critical focus in the transition to high-quality development, especially in addressing increasing public health challenges. This study explores the role of artificial intelligence (AI) technology in enhancing urban public health resilience across 284 Chinese cities from 2011 to 2021. Using a comprehensive index based on resistance, recovery, and innovation dimensions, the study quantifies AI technology levels through patent applications and authorizations, further disaggregating these into invention, utility model, and design patents. A two-way fixed effects regression model and spatial econometric models are employed to analyze the direct and spillover effects of AI on urban public health systems. The results demonstrate that AI technology significantly enhances resilience by improving resource allocation and response efficiency, with stronger impacts observed in eastern and central regions compared to western regions, where economic and technological capacities are weaker. Spatial analysis reveals significant positive spillover effects, particularly from patent authorizations, which enhance public health resilience in neighboring cities through cross-regional collaboration and resource sharing. Despite these advancements, regional disparities in economic development and technological infrastructure limit AI's broader impact, underscoring the need for targeted policies, enhanced funding, and interdisciplinary training to bridge the digital divide. The findings highlight AI's transformative potential in fostering urban public health resilience and call for sustained investment and collaboration to maximize its benefits.
C1 [Chen, Erdong; Zhang, Huaxin] Liaoning Univ, Sch Econ, Shenyang, Peoples R China.
C3 Liaoning University
RP Chen, ER (corresponding author), Liaoning Univ, Sch Econ, Shenyang, Peoples R China.
EM ced2001@126.com
CR Abate GD, 2016, SPAT ECON ANAL, V11, P27, DOI 10.1080/17421772.2015.1045021
   Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Adiasto K, 2024, GROUP ORGAN MANAGE, V49, P1338, DOI 10.1177/10596011241238792
   Alanezi F, 2024, CRIT PUBLIC HEALTH, V34, P1, DOI 10.1080/09581596.2024.2348164
   Ash J, 2018, PROG HUM GEOG, V42, P25, DOI 10.1177/0309132516664800
   Azari R, 2023, ARCH PUBLIC HEALTH, V81, DOI 10.1186/s13690-023-01091-6
   Bonissone P, 2022, IEEE COMPUT INTELL M, V17, P6, DOI 10.1109/MCI.2022.3201737
   Bonissone PP, 2023, IEEE COMPUT INTELL M, V18, P10, DOI 10.1109/MCI.2022.3223460
   Boyd R, 2018, J SOCIOL, V54, P331, DOI 10.1177/1440783317726591
   Cabaj JL, 2019, CAN J PUBLIC HEALTH, V110, P340, DOI 10.17269/s41997-019-00207-2
   Hernández JFC, 2021, INT J INTERACT MULTI, V7, P34, DOI 10.9781/ijimai.2021.07.001
   Carnevale CR, 2023, HEALTH POLICY PLANN, V38, P342, DOI 10.1093/heapol/czac102
   Cavalcante IM, 2019, INT J INFORM MANAGE, V49, P86, DOI 10.1016/j.ijinfomgt.2019.03.004
   Chowdhury S, 2022, J BUS RES, V144, P31, DOI 10.1016/j.jbusres.2022.01.069
   Cumming GS, 2011, LANDSCAPE ECOL, V26, P899, DOI 10.1007/s10980-011-9623-1
   Eakin H, 2017, P NATL ACAD SCI USA, V114, P186, DOI 10.1073/pnas.1620081114
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-09088-210444
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   González-Quintero C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11216073
   Küffner C, 2022, INT J PHYS DISTR LOG, V52, P673, DOI 10.1108/IJPDLM-07-2021-0303
   Kühl N, 2022, ELECTRON MARK, V32, P2235, DOI 10.1007/s12525-022-00598-0
   Kuzior A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15097205
   Liu Z., 2023, J. Chin. Manag, P1506, DOI [10.3969/j.issn.1672-884x.2023.10.010, DOI 10.3969/J.ISSN.1672-884X.2023.10.010]
   Marana P, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101531
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   McDuie-Ra D, 2020, AREA, V52, P626, DOI 10.1111/area.12602
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Mitchell M, 2019, HEALTH SYST REFORM, V5, P113, DOI 10.1080/23288604.2019.1583040
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Pereira G, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdaea
   Popic T, 2018, J EUR SOC POLICY, V28, P517, DOI 10.1177/0958928717754294
   Raphael D, 2014, SCAND J PUBLIC HEALT, V42, P7, DOI 10.1177/1403494813506522
   Reed-Fitzke K, 2023, MIL PSYCHOL, V35, P521, DOI 10.1080/08995605.2022.2131187
   Rider N, 2018, J PUBLIC HEALTH MAN, V24, P392, DOI 10.1097/PHH.0000000000000660
   Rodríguez-Izquierdo E, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104485
   Rothstein MA, 2002, J LAW MED ETHICS, V30, P144, DOI 10.1111/j.1748-720X.2002.tb00381.x
   Sadeghi RK, 2024, DECIS SUPPORT SYST, V180, DOI 10.1016/j.dss.2024.114194
   Saghiri AM, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12084054
   Saltman RB, 2018, HEALTH ECON POLICY L, V13, P382, DOI [10.1017/S1744133117000445, 10.1017/s1744133117000445]
   Santana S, 2011, BMC FAM PRACT, V12, DOI 10.1186/1471-2296-12-20
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Tsiotas D, 2025, ENVIRON DEV SUSTAIN, V27, P8433, DOI 10.1007/s10668-023-04240-7
   Tsutsumi M, 2014, INT REGIONAL SCI REV, V37, P273, DOI 10.1177/0160017612463233
   Turdakov DY., 2022, Doklady mathematics, V106, P1499
   Varda D, 2012, AM J PUBLIC HEALTH, V102, P564, DOI 10.2105/AJPH.2011.300286
   Von Heimburg D, 2022, SCAND J PUBLIC HEALT, V50, P1062, DOI 10.1177/14034948221124670
   Zuber A, 2023, BMJ GLOB HEALTH, V8, DOI 10.1136/bmjgh-2023-011728
NR 47
TC 0
Z9 0
U1 10
U2 10
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 JAN 7
PY 2025
VL 12
AR 1506930
DI 10.3389/fpubh.2024.1506930
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 S8F1S
UT WOS:001400505600001
PM 39839427
OA gold
DA 2025-04-22
ER

PT J
AU du Plessis, A
   Steyn, N
   Rantlo, J
AF du Plessis, Anel
   Steyn, Nicolene
   Rantlo, John
TI City-Level Law and Action for Climate-Resilient Development in Southern
   Africa
SO TRANSNATIONAL ENVIRONMENTAL LAW
LA English
DT Article
DE City-level law; Climate change law; Cities; Local climate governance;
   Urban areas; Southern Africa
ID CITIES
AB This article studies eight cities in four countries in the southern African region (Namibia, Zimbabwe, South Africa, and Botswana) to explore whether and how local governing authority has been channelled towards local climate-resilient development. The authors undertook a desk-based identification and review of available primary and secondary legal sources and normative documents while also drawing on scientific papers and policy documents for statistics and information about urbanization, climate change, politics, and governance in the selected countries. The analysis is interested in the law but is not strictly of a legal nature in the sense that the authors did not aim for a critical analysis of the regulatory detail in the relevant legal instruments. Instead, the article provides an evaluation of the political, de facto choices made by selected local governments as to how and to what extent to utilize their governing authority (legislative and executive) towards climate-resilient development. The authors explore if and how local government powers in the four southern African countries are currently leveraged for local climate action, and comment on the possible reasons for the status quo by comparing the four jurisdictions.
C1 [du Plessis, Anel; Rantlo, John] North West Univ, Fac Law, Potchefstroom, South Africa.
   [Steyn, Nicolene] Univ Witwatersrand, Sch Law, Johannesburg, South Africa.
C3 North West University - South Africa; University of Witwatersrand
RP du Plessis, A (corresponding author), North West Univ, Fac Law, Potchefstroom, South Africa.
EM adup@sun.ac.za; nicolene.steyn@wits.ac.za; john.rantlo@nwu.ac.za
RI Steyn, Nicolene/KIE-8394-2024
OI Steyn, Nicolene Renske/0000-0001-9820-1596; Rantlo, Tiisetso
   John/0000-0002-9206-6861
FU Alexander von Humboldt Foundation; National Research Foundation of South
   Africa (NRF) [115581]
FX The authors wish to express their gratitude to the Alexander von
   Humboldt Foundation as well as the National Research Foundation of South
   Africa (NRF) (Grant number 115581) for the financial support towards
   this research. All viewpoints and errors remain the authors' own. The
   authors also acknowledge the valuable insights and comments of the
   TELpeer reviewers.
CR African Centre for Disaster Management, 2021, Namibia: Heavy Rain Continues, Flash Floods in Windhoek
   Amunkete A., 2022, Unpublished Master's thesis, P48
   [Anonymous], Adapting Cities to Climate Change: City Case Studies
   [Anonymous], About Us
   Arrighi J., 2017, Dialogue for Decision -Making: Unpacking the "City Learning Lab"Approach
   Association for Local Authorities in Namibia, 2020, Integration of Namibia Local Authorities in the European Cooperation Programming Process 2021- 2027: Analytical Report, P4
   Aust HP, 2019, CITIES GLOBAL GOVERN, V7, P3
   Bosakeng L., 2020, Livestock Research for Rural Development, V32
   Botes M., 2022, Legislative and Policy Initiatives towards the Mitigation of Climate Change in African Cities
   Brandt N.L., 2019, Unpublished Master's thesis, P104
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   C40 Cities, Research and Analysis
   C40 Cities Climate Leadership Group, 2017, Focused Acceleration: A Strategic Approach to Climate Action in Cities to 2030
   C40 Cities Climate Leadership Group & C40 Knowledge Hub, 2021, Introducing Spotlight on Legal Action
   C40 Cities Climate Leadership Group & C40 Knowledge Hub, 2021, How Cities Can Use the Law to Advance Climate Action, P7
   C40 Cities Finance Facility, 2019, South African Cities Learn from eThekwini's Transformative Riverine Management
   C40 Knowledge, 2020, The City of Cape Town's Carbon Neutral 2050 Commitment
   CDP-Disclosure Insight Action, Nine Innovative Ways European Cities Are Taking Climate Action
   Chagutah T., 2013, SAIIA Occasional Paper No 155, P13
   Cities Climate Finance Leadership Alliance, 2021, State of Cities Climate Finance, P4
   City of Bulawayo, 2008, Urban Agriculture Policy
   City of Bulawayo, 2019, Multiple Use of Land
   City of Cape Town, 2022, City Teams Up with C40 and GIZ to Explore Green and Carbon Neutral Solutions'
   City of Cape Town, 2021, Climate Change Action Plan, P13
   City of Cape Town, 2022, Understanding Residential Electricity Tariffs in Cape Town
   City of Cape Town, 2021, Climate Change Strategy, P12
   City of Cape Town, The City of Cape Town's Carbon Neutral 2050 Commitment, P7
   City of PORTLAND, 2019, CIT PORTL HOM NEWSL, P7
   City of Windhoek, 2019, Water Management Plan
   City of Windhoek, Mayoral Annual Report 2016, P22
   Croese S., 2022, Localizing the SDGs in African Cities
   de Visser Jaape., 2015, Constitution Building in Africa
   Dodman D., 2022, Climate Change 2022: Impacts, adaptation, and vulnerability, V1, P907
   Dodman D, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2022.101401
   du Plessis A., 2021, Research Handbook on International Law and Cities, P187
   du Plessis A, 2022, CAMB LAW HANDBOOKS, P281
   Dube T, 2021, COGENT SOC SCI, V7, DOI 10.1080/23311886.2021.1944486
   eThekwini Municipality, Durban Climate Change Strategy 2022, P3
   eThekwini Municipality, 2014, Durban Climate Change Strategy'
   eThekwini Municipality, 2019, Durban Climate Action Plan
   Farrington E., 2015, Bachelor thesis, P2
   Fombad C.M., 2019, Decentralisation and Constitutionalism in Africa
   Gokcekus H., 2021, Int. Adv. Res. Eng. J., V5, P444, DOI [10.35860/iarej.906557, DOI 10.35860/IAREJ.906557]
   Hattingh M, 2022, WATER WHEEL, P24
   Haukela S., 2019, Moving Towards Integrated and Inclusive Climate Change Planning in Windhoek
   Hope SnrK.R., 2000, Development Southern Africa, V17, P519, DOI [10.1080/03768350050173912, DOI 10.1080/03768350050173912]
   ICLEI-Local Governments for Sustainability, 2018, Multilevel Climate Action: The Path to 1.5 Degrees
   ICLEI-Local Governments for Sustainability World Secretariat, 2017, Boosting Subnational Climate Action Through New Climate Governance, P15
   Jagarnath M, 2020, CLIMATIC CHANGE, V163, P807, DOI 10.1007/s10584-020-02908-x
   Kern K., 2009, Competitive Cities and Climate Change, OECD Conference Proceedings, Milan, Italy, 9-10 October 2008, P171
   law.columbia, About us
   Lee T., 2016, Global Cities and Climate Change: The Translocal Relations of Environmental Governance
   Lin J., 2018, Governing Climate Change: Global Cities and Transnational Lawmaking, P71
   Liu ZW, 2023, B AM METEOROL SOC, V104, pE298, DOI 10.1175/BAMS-D-22-0204.1
   Ljungkvist Kristin., 2016, GLOBAL CITY 2 0 STRA
   Madala N., 2016, Strengthening Local Government Service Delivery Through Open Government Initiative: The Case of Botswana, P3
   Maggio G., 2018, Cropping System Diversification in Eastern and Southern Africa: Identifying Policy Options to Enhance Productivity and Build Resilience
   Mapani BS, 2023, J AFR EARTH SCI, V197, DOI 10.1016/j.jafrearsci.2022.104749
   Mashamba S., 2010, Local Government Reform in Zimbabwe: Policy Dialogue, P101
   Masimba O., 2016, Unpublished Master's thesis, P43
   Mathew B., 2020, Transformative Law and Public Policy, P1
   Maundeni Z., 2004, Mapping Local Democracy in Gaborone City, P20
   Mawere J., 2022, Journal of Public Administration, V57, P272
   McClure A., 2018, Climate Narratives: What Have We Tried? What Have We Learned? What Does This Mean for Us Going Forward?
   McGirr K., 2021, Briefing Paper, P1
   Mooketsane K., 2017, African Journal of Public Affairs, V9, P47
   Moses O., 2017, BOTSW NOTES REC, V49, P13
   Mubaya C., 2019, Exploring Transformative Urban Climate Adaptation in Harare, Zimbabwe, P1
   Musemwa M, 2021, DAEDALUS-US, V150, P27, DOI 10.1162/DAED_a_01871
   Naidoo V.G., 2022, Servamus Community -Based Safety and Security Magazine, V115, P36, DOI DOI 10.10520/EJC-SERVAMUS_V115_N6_A13
   Ndebele-Murisa M.R., 2019, Policy Brief: Decision -Making and Climate Resilience in the Water Sector of Harare, P5
   Nel J.G., 2022, Environmental Law and Local Government in South Africa, V2nd
   Ngwenya B, 2018, INT J DISAST RISK RE, V27, P596, DOI 10.1016/j.ijdrr.2017.10.012
   NRF South African Research Chair in Cities, Law and Environmental Sustainability on Climate Action Law and Developments in Municipalities of Southern Africa
   Olawuyi D.S., 2022, Climate Change Law and Policy in the Middle East and North Africa Region, P1
   Omari J., 2017, Background Paper on Botswana's Draft Draught Management Strategy, P12
   Oomen B., 2021, European Yearbook of Constitutional Law 2020: The City in Constitutional Law, P249
   Organisation for Economic Co-operation and Development (OECD) UN ECA & African Development Bank, 2022, Africa's Urbanisation Dynamics 2022: The Economic Power of Africa's Cities
   Pasquini L., 2021, City Preparedness for the Climate Crisis, P209
   Patel Z., 2020, SUSTAINABILITY CHALL, P189, DOI DOI 10.1007/978-981-15-5358-5_8
   Pejic D., 2022, Global Governance Futures, P101
   Pieterse M, 2020, AFR J INT COMP LAW, V28, P612, DOI 10.3366/ajicl.2020.0342
   Pretorius L., 2019, An Embedded Researcher Approach to Integrate Climate Information into Decision Making in Southern African Cities: Lessons from FRACTAL'
   Republic of Namibia, 2002, Initial National Communication to the United Nations Framework Convention on Climate Change, P42
   Republic of Namibia, 2016, Brief on the Status of Decentralization Policy Implementation: Debate in Parliament on Decentralization
   Republic of Namibia Ministry of Environment and Tourism, 2009, Sea -Level Rise in Namibia's Coastal Towns and Wetlands: Projected Impacts and Adaptation Strategies, P4
   Robertson T., 2012, Namibia's Coast: Ocean Riches and Desert Treasures, P10
   Rumble O., 2019, Law | Environment | Africa, P33
   Ruppel O.C., 2016, Environmental Law and Policy in Namibia: Towards Making Africa the Tree of Life, V4th, P561
   Samuel G, 2022, INT J DISAST RISK RE, V74, DOI 10.1016/j.ijdrr.2022.102939
   Sethi M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab99ff
   Sihlongonyane F., 2020, CITY, V24, P1, DOI [10.1080/13604813.2020.1781405, DOI 10.1080/13604813.2020.1781405]
   Simpson NP, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00089-x
   Steenbeke M, 2021, CRIT REV CL LAB SCI, V58, P113, DOI 10.1080/10408363.2020.1791045
   Stockholm Environment Institute, 2019, Helping Windhoek Plan for Climate Change
   Struggles J., 2015, Asia Pacific Journal of Environmental Law, V18, P91
   Tandon A., 2021, Analysis: The lack of diversity in climate-science research
   Tsaha P., 2021, Transforming Harare into a Zero Waste Society
   UN, 2015, Drought in Botswana, A Learning Opportunity to Achieve Water Security: UN Expert
   UN Habitat, 2022, WORLD CITIES REPOR, P14
   UN Office for the Coordination of Humanitarian Affairs (OCHA), 2000, Floods Cause Death, Destruction in Botswana
   unfccc, About us
   United Nations Economic Commission for Africa (UN ECA) & African Union Commission, 2022, African Union Climate Change and Resilient Development Strategy and Action Plan (2022-2032)', P14
   van Wyk J., 2022, Urban Climate Resilience: The Role of Law, P254
   Williams R.F., 2022, Routledge Handbook of Subnational Constitutions and Constitutionalism, pxv
   Wright J, 2022, VRU Verfassung und Recht in Ubersee, V55, P105, DOI [10.5771/0506-7286-2022-1-105, DOI 10.5771/0506-7286-2022-1-105]
   Ziervogel G., 2017, Dealing with the Strain of Draught in Botswana
   Ziervogel G, 2010, CLIM DEV, V2, P94, DOI 10.3763/cdev.2010.0036
NR 115
TC 1
Z9 1
U1 1
U2 2
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 2047-1025
EI 2047-1033
J9 TRANSNATL ENVIRON LA
JI Transnatl. Environ. Law
PD NOV
PY 2023
VL 12
IS 3
BP 567
EP 593
DI 10.1017/S2047102523000134
PG 27
WC Environmental Studies; Law
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Government & Law
GA JG5T0
UT WOS:001172032900005
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Johannessen, Å
   Wamsler, C
AF Johannessen, Ase
   Wamsler, Christine
TI What does resilience mean for urban water services?
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate change adaptation; disaster risk reduction; resilience;
   sustainable cities; urban transition; urban water; water and sanitation
ID CLIMATE-CHANGE; SUSTAINABILITY; ADAPTATION; MANAGEMENT; GOVERNANCE;
   ADAPTABILITY; SYSTEMS; DESIGN; POLICY; RISK
AB Disasters and climate change impacts, as well as increased water demand, pose serious risks to the provision of sustainable urban water services, e.g., drinking water, sanitation, and safe drainage, especially in cities. These challenges call for a transition toward improved water management, including considerations of "resilience." However, because the resilience concept has multidisciplinary origins it is open to multiple interpretations, which poses a challenge to understanding and operationalizing the concept. We explore how resilience thinking can be translated into urban water practice to develop the conceptual understanding of transitions toward sustainability. The study is based on a literature review, interviews with water experts, as well as four case studies in South Africa, India, Sweden, and the Philippines. We identify seven key principles or attributes of urban water resilience and the related transition process. We find that resilience building needs to discern between and manage three levels (i.e., socioeconomic, external hazard considerations, and larger social-ecological systems) to be sustainable. In addition, we find that human agency is a strong driver of transition processes, with a certain level of risk awareness and risk perception providing one threshold and a certain capacity for action to implement measures and reorganize in response to risks being another. The difficulty of achieving "knowledge to action" derives from the multiple challenges of crossing these two types of identified thresholds. To address long-term trends or stressors, we find an important role for social learning to ensure that the carrying capacity of urban water services is not exceeded or unwanted consequences are created (e.g., long-term trends like salinization and water depletion). We conclude that the resilience term and related concepts add value to understanding and addressing the dynamic dimension of urban water transitions if the key principles identified in this study are considered.
C1 [Johannessen, Ase] Stockholm Environm Inst, Stockholm, Sweden.
   [Johannessen, Ase] Lund Univ, Ctr Risk Assessment & Management LUCRAM, Div Risk Management & Societal Safety, Lund, Sweden.
   [Wamsler, Christine] Lund Univ Ctr Sustainabil Studies LUCSUS, Lund, Sweden.
C3 Stockholm Environment Institute; Lund University; Lund University
RP Johannessen, Å (corresponding author), Stockholm Environm Inst, Stockholm, Sweden.; Johannessen, Å (corresponding author), Lund Univ, Ctr Risk Assessment & Management LUCRAM, Div Risk Management & Societal Safety, Lund, Sweden.
OI Johannessen, Ase/0000-0002-8752-5496
FU Swedish Civil Contingencies Agency (MSB) [MSB: 211-946]; Transforming
   Development and Disaster Risk Initiative at SEI - Swedish International
   Development Cooperation (Sida); Swedish Research Council FORMAS
FX This paper is an outcome of the WASH & RESCUE project (Grant number MSB:
   211-946) financed by The Swedish Civil Contingencies Agency (MSB). It
   has also received financial support from the Transforming Development
   and Disaster Risk Initiative at SEI, financed by the Swedish
   International Development Cooperation (Sida). The research has also
   benefited from one of the authors' "Sustainable Urban Transformation for
   Climate Change Adaptation" project financed by the Swedish Research
   Council FORMAS. We are grateful to Erik Rottier, Karlee Johnson, Guoyi
   Han, Frank Thomalla, Asa Gerger Swartling, John Forrester, Sarah Dickin,
   and Linn Persson, as well as Tom Gill and Rajesh Daniel for editing the
   paper. We are grateful for the many constructive comments by two
   anonymous reviewers, the editor of E&S, and Stef Smits. Many thanks also
   to the many water and sanitation professionals who generously
   volunteered their time and knowledge to support this work.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   [Anonymous], 13 EUR COURT AUD EUR
   [Anonymous], LEB MONTHL UPD DEC 2
   [Anonymous], ROADM ADV INT WAT RE
   [Anonymous], THESIS
   [Anonymous], HYDROINSECURE CRISIS
   [Anonymous], 2000, INTEGRATED WATER RES
   [Anonymous], 2012, How To Make Cities More Resilient: A Handbook For Local Government Leaders
   [Anonymous], SPECIAL PUBLICATION
   [Anonymous], SUSTAINABLE CITY
   [Anonymous], 2008, GLOB CORR REP 2008 C
   [Anonymous], EC ASS GREEN INFR ST
   [Anonymous], 2014, World urbanization prospects: the 2014 revision, highlights
   [Anonymous], 2010, PROT DEV GAINS RED D
   [Anonymous], 32 WEDC INT C COL SR
   [Anonymous], CLIMATE CHANGE WATER
   [Anonymous], 5 WASHCOST IRC INT W
   [Anonymous], 2014, RISK OPPORTUNITY, DOI [DOI 10.1596/978-0-8213-9903-3, 10.48529/tyd0-f528]
   [Anonymous], 4 AAA WORLD BANK ENV
   [Anonymous], OCCASIONAL PAPER SER
   [Anonymous], BACKGROUND PAPERS GL
   [Anonymous], 2015, ROUTLEDGE STUDIES EN
   [Anonymous], 5 U NEW ENGL
   [Anonymous], 2014, [No title captured], P151
   [Anonymous], 2014, Guidelines for resilience systems analysis
   Barros V.R., 2014, Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P1757
   Bene C., 2013, IDS WORKING PAPERS, V2013, P1
   Bradshaw GA, 2000, CONSERV ECOL, V4
   Brand FS, 2007, ECOL SOC, V12
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Butler David., 2000, URBAN DRAINAGE
   Butterworth John., 2011, SWITCH in the city putting urban water management to the test
   Ellis JB, 2014, CLEAN-SOIL AIR WATER, V42, P153, DOI 10.1002/clen.201300225
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   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
   Foucault Michel., 1984, Nietzsche, Genealogy, History in The Foucault Reader
   Giddens A., PROFILES CRITIQUES S
   Giurco DP, 2014, CHEM ENGINEER TRANS, V42, P13, DOI 10.3303/CET1442003
   Holling C. S., 2002, Panarchy: Understanding Transformations in Systems of Humans and Nature
   Hollnagel E, 2013, NUCL ENG TECHNOL, V45, P13, DOI 10.5516/NET.03.2011.078
   Howard G., 2010, Vision 2030: The resilience of water supply and sanitation in
   Howe C.A., 2011, Sustainable Water Management in the City of the Future. Findings from the SWITCH Project
   Huntjens P, 2012, GLOBAL ENVIRON CHANG, V22, P67, DOI 10.1016/j.gloenvcha.2011.09.015
   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]
   Johannessen Å, 2013, GLOBAL ENVIRON CHANG, V23, P372, DOI 10.1016/j.gloenvcha.2012.07.009
   Kollmuss A., 2002, Environmental Education Research, V8, P239, DOI [10.1080/13504620220145401, DOI 10.1080/13504620220145401]
   Loorbach D, 2010, FUTURES, V42, P237, DOI 10.1016/j.futures.2009.11.009
   Moriarty P, 2013, WATER ALTERN, V6, P329
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Partzsch L, 2015, GAIA, V24, P48, DOI 10.14512/gaia.24.1.10
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Rivera C, 2015, INT J DISAST RISK RE, V14, P445, DOI 10.1016/j.ijdrr.2015.09.009
   Schein E., 1999, The corporate culture survival guide: Sense and nonsense about culture change
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Spiller M, 2015, J ENVIRON MANAGE, V149, P271, DOI 10.1016/j.jenvman.2014.09.031
   Taleb NN, 2010, BLACK SWAN IMPACT HI
   Turnbull M., 2013, Toward Resilience: A Guide to Disaster Risk Reduction and Climate Change Adaptation
   Turner A., 2010, Guide to Demand Management and Integrated Resource Planning (update on original 2008 Guide) (Issue January
   Turnheim B, 2015, GLOBAL ENVIRON CHANG, V35, P239, DOI 10.1016/j.gloenvcha.2015.08.010
   Twigg J., 2007, Characteristics of a Disaster-Resilient Community: A Guidance Note
   UNISDR, 2009, TERM DIS RISK RED
   Walker B, 2004, ECOL SOC, V9
   Walker B., 2012, RESILIENCE PRACTICE
   Wamsler C, 2014, ROUTL CRIT INTRO URB, P1
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wamsler C, 2016, INT J DISASTER RESIL, V7, P80, DOI 10.1108/IJDRBE-01-2015-0001
   Wamsler C, 2015, ECOL SOC, V20, DOI 10.5751/ES-07489-200230
   Wamsler C, 2012, ECOL SOC, V17, DOI 10.5751/ES-04645-170202
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Werners SE, 2013, CURR OPIN ENV SUST, V5, P334, DOI 10.1016/j.cosust.2013.06.005
   World Bank, 2004, World Development Report 2003: Agriculture and Economic Development, DOI [10.1596/0-8213-5468-x, 10.1596/0-8213-5468-X]
NR 73
TC 56
Z9 64
U1 0
U2 74
PU Resilience Alliance
PI Dedham
PA 231 Bussey St., Beckwith and Brown, Dedham, Massachusetts, UNITED STATES
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2017
VL 22
IS 1
AR 1
DI 10.5751/ES-08870-220101
PG 18
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ES2ZW
UT WOS:000399397700009
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Peng, BY
   Wang, J
   Xia, XH
   Ma, Z
AF Peng, Biyu
   Wang, Jie
   Xia, Xiaohua
   Ma, Zhu
TI A study on the impact of housing prices on residents' travel frequency
   and transportation resilience in 35 Chinese cities
SO HELIYON
LA English
DT Article
DE Housing purchase price; Traffic frequency; Transportation resilience;
   Generalized matrix method
ID CHOICE INERTIA; TOURISM DEMAND; PANEL-DATA; SYSTEM; RAIL; SERVICE;
   DESIGN; LEVEL; MODEL; COST
AB As urbanization proceeds, urban transportation resilience suffers greater challenges. Covering panel data for 35 Chinese cities from 2006 to 2019, after controlling for other variables that may affect urban residents' transportation volumes, this paper finds that rising houseing prices have a significant positive effect on urban residents' traffic frequency. As frequent traffic trips increase the probability of urban residents experiencing disruptions, rising housing purchase prices would have a negative impact on Chinese urban residents' transportation resilience. The regional comparison analysis finds that the regression coefficients of coastal and eastern cities with more expensive housing price are significantly higher than those of non-coastal and western cities with lower housing price, further validating the findings of this paper.
C1 [Peng, Biyu; Wang, Jie] South China Normal Univ, Sch Econ & Management, Guangzhou, Peoples R China.
   [Xia, Xiaohua] Renmin Univ China, Sch Appl Econ, Beijing, Peoples R China.
   [Ma, Zhu] Guangzhou Maritime Univ, Sch Port & Shipping Management, Guangzhou, Peoples R China.
   [Wang, Jie] South China Normal Univ, Sch Econ & Management, Guangzhou 510006, Peoples R China.
C3 South China Normal University; Renmin University of China; Guangzhou
   Maritime University; South China Normal University
RP Wang, J (corresponding author), South China Normal Univ, Sch Econ & Management, Guangzhou 510006, Peoples R China.
EM jiewang@m.scnu.edu.cn
FU National Social Science Foundation of China [21BJL099]
FX This work was supported by the National Social Science Foundation of
   China under Grant number of 21BJL099.
CR Allen D, 2009, MATH COMPUT SIMULAT, V79, P2733, DOI 10.1016/j.matcom.2008.10.006
   Alonso W., 1964, ECON GEOGR, V42, P11
   ARELLANO M, 1991, REV ECON STUD, V58, P277, DOI 10.2307/2297968
   ARELLANO M, 1995, J ECONOMETRICS, V68, P29, DOI 10.1016/0304-4076(94)01642-D
   BAJIC V, 1983, URBAN STUD, V20, P147, DOI 10.1080/00420988320080291
   Benjamin J.D., 1996, Journal of Real Estate Research, V12, P1, DOI [10.1080/10835547.1996.12090830, DOI 10.1080/10835547.1996.12090830]
   Blundell R, 1998, J ECONOMETRICS, V87, P115, DOI 10.1016/S0304-4076(98)00009-8
   Brown ED, 2015, ENVIRON MANAGE, V56, P1416, DOI 10.1007/s00267-015-0582-1
   Buehler R, 2011, TRANSPORT POLICY, V18, P126, DOI 10.1016/j.tranpol.2010.07.002
   Chen K, 2016, TRANSPORT RES E-LOG, V95, P267, DOI 10.1016/j.tre.2016.09.015
   Chen SQ, 2012, ECOL INFORM, V10, P10, DOI 10.1016/j.ecoinf.2011.05.005
   Chorus CG, 2012, J TRANSP ECON POLICY, V46, P139
   Clewlow RR, 2014, TRANSPORT POLICY, V33, P136, DOI 10.1016/j.tranpol.2014.01.015
   Concas S, 2013, TRANSPORT RES REC, P66, DOI 10.3141/2357-08
   Crescenzi R, 2016, J REGIONAL SCI, V56, P555, DOI 10.1111/jors.12264
   Deng HM, 2022, ENERGY REP, V8, P300, DOI 10.1016/j.egyr.2022.03.098
   Dritsakis N, 2004, TOURISM MANAGE, V25, P111, DOI 10.1016/S0261-5177(03)00061-X
   Dziauddin MF, 2015, APPL SPAT ANAL POLIC, V8, P1, DOI 10.1007/s12061-014-9117-z
   Efthymiou D, 2013, TRANSPORT RES A-POL, V52, P1, DOI 10.1016/j.tra.2013.04.002
   Garza N, 2019, HABITAT INT, V87, P36, DOI 10.1016/j.habitatint.2019.04.001
   Glaeser E, 2017, J ECON PERSPECT, V31, P93, DOI 10.1257/jep.31.1.93
   Goldbeck N, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.101830
   Gonçalves LAPJ, 2020, J TRANSP GEOGR, V85, DOI 10.1016/j.jtrangeo.2020.102727
   Henderson J.V., 1985, EC THEORY CITIES
   Henry E, 2022, TRANSPORT RES E-LOG, V158, DOI 10.1016/j.tre.2021.102557
   Huenemann RW, 2001, CHINA ECON REV, V12, P368, DOI 10.1016/S1043-951X(01)00064-5
   Ilbeigi M, 2019, INT J DISAST RISK RE, V33, P155, DOI 10.1016/j.ijdrr.2018.10.002
   Immergluck D, 2009, URBAN STUD, V46, P1723, DOI 10.1177/0042098009105500
   Itani N, 2013, J TRANSP GEOGR, V30, P170, DOI 10.1016/j.jtrangeo.2012.07.014
   Jayantha WM, 2015, HABITAT INT, V49, P148, DOI 10.1016/j.habitatint.2015.05.023
   Jou RC, 2012, TRANSPORT RES A-POL, V46, P696, DOI 10.1016/j.tra.2012.01.001
   Kim S, 2021, J TRANSP GEOGR, V96, DOI 10.1016/j.jtrangeo.2021.103168
   Kyriacou AP, 2019, TRANSPORT POLICY, V74, P93, DOI 10.1016/j.tranpol.2018.11.017
   La Paix L, 2022, TRANSPORTATION, V49, P989, DOI 10.1007/s11116-021-10201-8
   Leobons CM, 2019, TRANSP RES PROC, V37, P322, DOI 10.1016/j.trpro.2018.12.199
   Levkovich O, 2016, TRANSPORTATION, V43, P379, DOI 10.1007/s11116-015-9580-7
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li SX, 2019, TRANSPORTATION, V46, P1291, DOI 10.1007/s11116-017-9834-7
   Li TB, 2018, TRANSPORT POLICY, V65, P106, DOI 10.1016/j.tranpol.2017.03.016
   Liu GY, 2011, SCI TOTAL ENVIRON, V409, P3295, DOI 10.1016/j.scitotenv.2011.05.045
   Liu X, 2015, ENERG POLICY, V85, P253, DOI 10.1016/j.enpol.2015.06.007
   Mudchanatongsuk S, 2008, J OPER RES SOC, V59, P652, DOI 10.1057/palgrave.jors.2602362
   Mulley C, 2018, RES TRANSP ECON, V67, P3, DOI 10.1016/j.retrec.2016.11.002
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   NIHAN NL, 1980, TRANSPORTATION, V9, P125, DOI 10.1007/BF00167127
   Pan HX, 2017, TRANSPORT RES D-TR E, V57, P52, DOI 10.1016/j.trd.2017.09.016
   Paramati SR, 2019, TOURISM MANAGE, V74, P392, DOI 10.1016/j.tourman.2019.04.023
   Ramanathan R, 2001, TRANSPORT RES A-POL, V35, P309, DOI 10.1016/S0965-8564(99)00060-9
   Schaller B, 1999, TRANSPORTATION, V26, P283, DOI 10.1023/A:1005185421575
   Singh A, 2021, J BUS RES, V132, P102, DOI 10.1016/j.jbusres.2021.04.027
   Su SL, 2021, HABITAT INT, V107, DOI 10.1016/j.habitatint.2020.102309
   Tapio P, 2005, TRANSP POLICY, V12, P137, DOI 10.1016/j.tranpol.2005.01.001
   Tian L, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102878
   Tsekeris T, 2013, J URBAN ECON, V76, P1, DOI 10.1016/j.jue.2013.01.002
   D'Elia VV, 2020, RES TRANSP ECON, V80, DOI 10.1016/j.retrec.2020.100814
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wier M, 2009, ACCIDENT ANAL PREV, V41, P137, DOI 10.1016/j.aap.2008.10.001
   Wong RCP, 2020, TRANSPORT POLICY, V97, P129, DOI 10.1016/j.tranpol.2020.07.017
   Xu XD, 2021, TRANSPORT RES E-LOG, V154, DOI 10.1016/j.tre.2021.102448
   Yang DW, 2018, RESOUR CONSERV RECY, V134, P196, DOI 10.1016/j.resconrec.2018.03.016
   Yang H, 2000, TRANSPORTATION, V27, P317, DOI 10.1023/A:1005289504549
   Yang LC, 2019, CITIES, V84, P56, DOI 10.1016/j.cities.2018.07.005
   Yu Z, 2021, J TRANSP GEOGR, V91, DOI 10.1016/j.jtrangeo.2021.102950
   Yuan F, 2020, CITIES, V96, DOI 10.1016/j.cities.2019.102433
   Zeng XY, 2022, ENERGY REP, V8, P738, DOI 10.1016/j.egyr.2022.02.213
   Zhang T, 2001, CHINA ECON REV, V12, P58, DOI 10.1016/S1043-951X(01)00043-8
   Zhao PJ, 2019, TRANSPORT POLICY, V74, P73, DOI 10.1016/j.tranpol.2018.11.009
   Zhu LL, 2021, CITIES, V109, DOI 10.1016/j.cities.2020.103015
NR 69
TC 0
Z9 0
U1 2
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 JAN 15
PY 2024
VL 10
IS 1
AR e23469
DI 10.1016/j.heliyon.2023.e23469
EA DEC 2023
PG 17
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA FB6L6
UT WOS:001143327900001
PM 38170000
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Dong, X
   Guo, H
   Zeng, SY
AF Dong, Xin
   Guo, Hao
   Zeng, Siyu
TI Enhancing future resilience in urban drainage system: Green versus grey
   infrastructure
SO WATER RESEARCH
LA English
DT Article
DE Urban drainage system; Resilience; Grey infrastructure; Green
   infrastructure; Climate change
ID CLIMATE-CHANGE; EXTREME PRECIPITATION; URBANIZATION; FRAMEWORK; IMPACTS
AB In recent years, the concept transition from fail-safe to safe-to-fail makes the application of resilience analysis popular in urban drainage systems (UDSs) with various implications and quantifications. However, most existing definitions of UDSs resilience are confined to the severity of flooding, while uncertainties from climate change and urbanization are not considered. In this research, we take into account the functional variety, topological complexity, and disturbance randomness of UDSs and define a new formula of resilience based on three parts of system severity, i.e. social severity affected by urban flooding, environmental severity caused by sewer overflow, and technological severity considering the safe operation of downstream facilities. A case study in Kunming, China is designed to compare the effect of green and grey infrastructure strategies on the enhancement of system resilience together with their costs. Different system configurations with green roofs, permeable pavement and storage tanks are compared by scenario analysis with full consideration of future uncertainties induced by urbanization and climate change. The research contributes to the development of sustainability assessment of urban drainage system with consideration of the resilience of green and grey infrastructure under future change. Finding the response measures with high adaptation across a variety of future scenarios is crucial to establish sustainable urban drainage system in a long term. (C) 2017 Published by Elsevier Ltd.
C1 [Dong, Xin; Guo, Hao; 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 Zeng, SY (corresponding author), Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China.
EM szeng@tsinghua.edu.cn
RI Dong, Xin/IZQ-2213-2023
FU National Natural Science Foundation of China [51308320, 71473148]
FX This work was supported by the National Natural Science Foundation of
   China (51308320 & 71473148).
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], 2004, ECOL SOC
   Arnbjerg-Nielsen K, 2012, URBAN WATER J, V9, P57, DOI 10.1080/1573062X.2011.630091
   Bruijn K. M. de, 2004, Water Policy, V6, P53
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Casal-Campos A, 2015, ENVIRON SCI TECHNOL, V49, P8307, DOI 10.1021/es506144f
   Chen J, 1997, WATER SCI TECHNOL, V35, P99, DOI 10.2166/wst.1997.0334
   Cohen JP, 2012, J IRRIG DRAIN ENG, V138, P534, DOI 10.1061/(ASCE)IR.1943-4774.0000432
   Cohen R, 2000, PHYS REV LETT, V85, P4626, DOI 10.1103/PhysRevLett.85.4626
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Fu GT, 2010, J ENVIRON ENG-ASCE, V136, P335, DOI 10.1061/(ASCE)EE.1943-7870.0000161
   Golz S, 2015, URBAN WATER J, V12, P30, DOI 10.1080/1573062X.2014.939090
   Grum M, 2006, WATER SCI TECHNOL, V54, P9, DOI 10.2166/wst.2006.592
   Hatt BE, 2004, ENVIRON MANAGE, V34, P112, DOI 10.1007/s00267-004-0221-8
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Hossain F, 2015, J HYDROL ENG, V20, DOI 10.1061/(ASCE)HE.1943-5584.0001210
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Karamouz M, 2011, J HYDROL ENG, V16, P395, DOI 10.1061/(ASCE)HE.1943-5584.0000317
   Labaka L, 2015, RELIAB ENG SYST SAFE, V141, P92, DOI 10.1016/j.ress.2015.03.009
   Liu W, 2015, ECOL MODEL, V318, P236, DOI 10.1016/j.ecolmodel.2014.11.007
   Liu W, 2014, ECOL MODEL, V291, P6, DOI 10.1016/j.ecolmodel.2014.07.012
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mugume S., 2014, QUANTIFYING RESILIEN
   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
   Notaro V, 2015, WATER-SUI, V7, P6931, DOI 10.3390/w7126667
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Pugh TAM, 2012, ENVIRON SCI TECHNOL, V46, P7692, DOI 10.1021/es300826w
   Semadeni-Davies A, 2008, J HYDROL, V350, P114, DOI 10.1016/j.jhydrol.2007.11.006
   Shafieezadeh A, 2014, RELIAB ENG SYST SAFE, V132, P207, DOI 10.1016/j.ress.2014.07.021
   Tavakol-Davani H, 2016, J SUSTAIN WATER BUIL, V2, DOI 10.1061/JSWBAY.0000805
   Vojinovic Z, 2014, J HYDROINFORM, V16, P1044, DOI 10.2166/hydro.2014.223
   Wang RR, 2013, ENVIRON SCI TECHNOL, V47, P11189, DOI 10.1021/es4026547
   Willems P, 2012, ATMOS RES, V103, P106, DOI 10.1016/j.atmosres.2011.04.003
   Yazdanfar Z, 2015, WATER SCI TECHNOL, V72, P165, DOI 10.2166/wst.2015.207
   Yin J, 2016, J EARTH SYST SCI, V125, P417, DOI 10.1007/s12040-016-0664-3
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
NR 39
TC 246
Z9 270
U1 31
U2 517
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0043-1354
J9 WATER RES
JI Water Res.
PD NOV 1
PY 2017
VL 124
BP 280
EP 289
DI 10.1016/j.watres.2017.07.038
PG 10
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA FI8KM
UT WOS:000412251500028
PM 28772140
DA 2025-04-22
ER

PT J
AU Cui, YP
   Liu, ZJ
   Wu, HM
   Sun, PJ
   Zhou, FB
AF Cui, Yuepeng
   Liu, Zijian
   Wu, Huiming
   Sun, Pengju
   Zhou, Fubin
TI Evaluation of Urban Transportation Resilience under Extreme Weather
   Events
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE extreme weather events; transportation resilience; bus trajectory data;
   evaluation
ID FRAMEWORK; NETWORKS; VULNERABILITY; SYSTEMS; FUTURE
AB The frequent occurrence of extreme weather events (EWEs) in recent years has posed major hazards to urban transportation as well as socioeconomic impacts. A quantitative evaluation of the urban transportation resilience to minimize the impact caused by EWEs becomes critical to the rapid recovery of urban transportation after disasters. However, there is, generally, a lack of reliable data sources to monitor urban transportation performance under EWEs. This empirical study proposes a performance indicator (displacement) and quantitative method for evaluating the urban transportation performance under EWEs based on bus GPS trajectory datasets. Furthermore, the transportation resilience of it is quantified, and the variation is compared across temporal and spatial dimensions. The method is applied in a case study of Fuzhou, China, under rainstorm events. The results show that the Gulou and Jinan subareas have the highest transportation resilience during the yellow and red rainstorm warnings. By formulating an emergency plan and taking mitigation measures, the transportation performance in the Jinan subarea during the red rainstorm warning was improved by 36% compared to the yellow rainstorm warning. The empirical study not only fills the knowledge gap for quantifying the transportation resilience across the geographical boundary under rainstorm events, but also estimates the operation status of the road network. The results will help policymakers prioritize the resource distribution and develop effective policies or measures to further improve transportation resilience in the city.
C1 [Cui, Yuepeng] Fujian Univ Technol, Dept Management, Fuzhou 350118, Peoples R China.
   [Liu, Zijian; Sun, Pengju] China Acad Railway Sci, Transportat & Econ Res Inst, Beijing 100081, Peoples R China.
   [Wu, Huiming] Fujian Univ Technol, Dept Transportat, Fuzhou 350118, Peoples R China.
   [Zhou, Fubin] Fujian Jiuding Construction Grp Co Ltd, Zhangzhou 363799, Peoples R China.
C3 Fujian University of Technology; Fujian University of Technology
RP Liu, ZJ (corresponding author), China Acad Railway Sci, Transportat & Econ Res Inst, Beijing 100081, Peoples R China.
EM ypcui916@hotmail.com; lzj3082@hotmail.com; xiat946@hotmail.com;
   18811147722@163.com; fubinzhou@126.com
RI Shi, Yu-Chen/N-3937-2013
FU China State Railway Group Co., Ltd. Science and Technology Research and
   Development Plan Project; China State Railway Group Co., Ltd.
   [N2023B005]; Science and Technology Research and Development Plan
   Project [52008110]; National Natural Science Foundation of China
   [2020J05195]; Natural Science Foundation of Fujian Province
FX This work was produced based on the study supported by the China State
   Railway Group Co., Ltd. Science and Technology Research and Development
   Plan Project (Grant No. N2023B005), National Natural Science Foundation
   of China (Grant No. 52008110), and Natural Science Foundation of Fujian
   Province (Grant No. 2020J05195). The opinions, findings, conclusions,
   and recommendations expressed in this work are those of the authors and
   do not necessarily reflect the views of the sponsors.
CR Aydin NY, 2018, INT J DISAST RISK RE, V31, P832, DOI 10.1016/j.ijdrr.2018.07.022
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Bouwer LM, 2011, B AM METEOROL SOC, V92, P39, DOI 10.1175/2010BAMS3092.1
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Changkun Chen, 2022, Journal of Tsinghua University (Science and Technology), V62, P1016, DOI 10.16511/j.cnki.qhdxxb.2022.22.025
   Chen C, 2013, INT CONF PERVAS COMP, P225, DOI 10.1109/PerCom.2013.6526736
   China Academy of Safety Science and Technology, 2020, UN Disaster Preparedness and Mitigation Agency Releases Report on Human Cost of Disasters 2000-2019
   China Meteorological Administration, 2021, Rainstorm Warning Signal and Defense Guide
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Donovan B, 2017, TRANSPORT RES C-EMER, V79, P333, DOI 10.1016/j.trc.2017.03.002
   Forzieri G, 2016, CLIMATIC CHANGE, V137, P105, DOI 10.1007/s10584-016-1661-x
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Fuzhou Bureau of Statistics, 2019, The Resident Population of Fuzhou City was 7.74 Million at the End of 2018
   Hopkins D.C., 1993, Bulletin of the New Zealand National Society for Earthquake Engineering, V26, P208, DOI DOI 10.5459/BNZSEE.26.2.208-221
   Ilbeigi M, 2019, INT J DISAST RISK RE, V33, P155, DOI 10.1016/j.ijdrr.2018.10.002
   Ip WH, 2009, INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 2, PROCEEDINGS, P618, DOI 10.1109/CSO.2009.294
   Ji T, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14073880
   Kelman I, 2015, INT J DISAST RISK SC, V6, P21, DOI 10.1007/s13753-015-0038-5
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   Nakanishi H., 2015, INT J DISASTER RESIL, V5, P341, DOI DOI 10.1108/IJDRBE-12-2012-0039
   Omer Mayada, 2011, American Journal of Engineering and Applied Sciences, V4, P153, DOI 10.3844/ajeassp.2011.153.161
   Omer M, 2012, MARIT POLICY MANAG, V39, P685, DOI 10.1080/03088839.2012.689878
   Osei-Asamoah A, 2014, TRANSPORT RES REC, P120, DOI 10.3141/2467-13
   Pan SZ, 2021, PHYSICA A, V581, DOI 10.1016/j.physa.2021.126235
   Reed DA, 2009, IEEE SYST J, V3, P174, DOI 10.1109/JSYST.2009.2017396
   Reggiani A, 2013, TRANSPORT POLICY, V28, P63, DOI 10.1016/j.tranpol.2012.09.007
   Robusto C.C., 1957, Amer. Math. Monthly, V64, P38, DOI [DOI 10.2307/2309088, 10.2307/2309088]
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V656, P150, DOI 10.1016/j.scitotenv.2018.11.349
   Serulle NU, 2011, TRANSPORT RES REC, P22, DOI 10.3141/2234-03
   Shi A.N., 2015, Sci. Technol. Eng, V15, P125
   Sietfhoff B., 2017, POSTHURRICANE SANDY
   Sobel AH, 2018, RESILIENCE: THE SCIENCE OF ADAPTATION TO CLIMATE CHANGE, P3, DOI 10.1016/B978-0-12-811891-7.00001-3
   Stamos I, 2015, TRANSPORT RES D-TR E, V34, P168, DOI 10.1016/j.trd.2014.11.002
   Ta C, 2009, TRANSPORT RES REC, P19, DOI 10.3141/2097-03
   Tamvakis P, 2012, PROCD SOC BEHV, V48, P3441, DOI 10.1016/j.sbspro.2012.06.1308
   Testa AC, 2015, TRANSPORT RES REC, P29, DOI 10.3141/2532-04
   Touzinsky KF, 2018, J WATERW PORT COAST, V144, DOI 10.1061/(ASCE)WW.1943-5460.0000446
   Twumasi-Boakye R, 2018, J TRANSP ENG A-SYST, V144, DOI 10.1061/JTEPBS.0000186
   Vajjarapu H, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101528
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wang TN, 2020, TRANSPORT RES D-TR E, V88, DOI 10.1016/j.trd.2020.102553
   Weilant S., 2019, Incorporating resilience into transportation planning and assessment, DOI DOI 10.7249/RR3038
   Yin J, 2017, J HYDROL, V555, P648, DOI 10.1016/j.jhydrol.2017.10.067
   Zhang FC, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101671
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
   Zhu Y, 2016, TRANSPORT RES REC, P70, DOI 10.3141/2599-09
NR 49
TC 1
Z9 1
U1 25
U2 38
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 JUN
PY 2024
VL 14
IS 11
AR 4947
DI 10.3390/app14114947
PG 17
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA UA1N2
UT WOS:001245251800001
OA gold
DA 2025-04-22
ER

PT J
AU Sun, L
   Chen, ZH
   Li, YF
   Kawasaki, T
AF Sun, Lie
   Chen, Zhiheng
   Li, Yifan
   Kawasaki, Tomoya
TI Evaluating impacting factors of economic resilience across major Japan
   port cities
SO URBAN CLIMATE
LA English
DT Article
DE Japan; Port cities; Urban fiscal strength index; Urban morphology;
   Maritime transport
ID SUSTAINABILITY INDEXES; URBAN; CHINA; ASIA
AB Japan relies heavily on its port cities for global economic integration and societal support, given its extensive coastline. These ports handle most of the country's imports, including the majority of its energy needs and more than half of its food requirements, being pivotal in urban economic resilience and sustainability. However, the COVID-19 pandemic, posed severe challenges to these ports by disrupting maritime trade, thereby impacting economic stability. Given that, this study explores the development dynamics of Japanese port cities during the pandemic, using data from 2020. We assessed how these cities have coped with the pandemic's challenges, focusing on factors that influence port resilience. Port cities are reclassified based on their economic robustness during the pandemic, along with features including demographics, urban infrastructure, and port capacity. In this way, key factors for enhancing urban economic resilience are identified, prompting sustainable development strategies for Japan's port cities.
C1 [Sun, Lie; Chen, Zhiheng; Kawasaki, Tomoya] Univ Tokyo, Grad Sch Engn, Tokyo, Japan.
   [Li, Yifan] Cornell Univ, Coll Agr & Life Sci, Ithaca, NY USA.
C3 University of Tokyo; Cornell University
RP Kawasaki, T (corresponding author), Univ Tokyo, Grad Sch Engn, Tokyo, Japan.
EM kawasaki@sys.t.u-tokyo.ac.jp
FU JSPS KAKENHI [23K17802]
FX This work was supported by JSPS KAKENHI grant number 23K17802.
CR Aggarwal P, 2016, J CLEAN PROD, V128, P48, DOI 10.1016/j.jclepro.2014.12.012
   Apriliyanti I.D., 2018, J. Ilmu Sos. Ilmu Politik, V22, P34
   Biau G, 2016, TEST-SPAIN, V25, P197, DOI 10.1007/s11749-016-0481-7
   Cai J, 2018, NEUROCOMPUTING, V300, P70, DOI 10.1016/j.neucom.2017.11.077
   Cai QR, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aav0129
   Chen T., 2015, R PACKAGE VERSION 04
   Cheng DY, 2022, GLOBAL ENVIRON CHANG, V72, DOI 10.1016/j.gloenvcha.2021.102417
   Communications M.O.I.A.A., 2021, Fiscal Index Table for Prefectures
   Covert IC, 2020, ADV NEUR IN, V33
   Eisenack K, 2022, GLOBAL ENVIRON CHANG, V72, DOI 10.1016/j.gloenvcha.2021.102439
   Ekoh SS, 2023, GLOBAL ENVIRON CHANG, V80, DOI 10.1016/j.gloenvcha.2023.102666
   Gipouloux F, 2011, ASIAN MEDITERRANEAN: PORT CITIES AND TRADING NETWORKS IN CHINA, JAPAN AND SOUTHEAST ASIA, 13TH-21ST CENTURY, P261
   Hamerly G, 2004, ADV NEUR IN, V16, P281
   Huang LQ, 2024, ENERG POLICY, V186, DOI 10.1016/j.enpol.2024.114016
   Huang LQ, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02329-2
   Itoh H., 2002, Review of Urban and Regional Development Studies, V14, P133, DOI DOI 10.1111/1467-940X.00052
   Kagawa S, 2015, GLOBAL ENVIRON CHANG, V35, P486, DOI 10.1016/j.gloenvcha.2015.04.003
   Kim DC, 2013, J COASTAL RES, P266, DOI 10.2112/SI65-046.1
   Kuroishi I, 2021, J URBAN HIST, V47, P332, DOI 10.1177/0096144219884319
   Kwon T, 2015, ASIAN ECON J, V29, P121, DOI 10.1111/asej.12051
   Lian JH, 2019, ATMOS CHEM PHYS, V19, P13809, DOI 10.5194/acp-19-13809-2019
   Long LJ, 2021, ENVIRON DEV SUSTAIN, V23, P14982, DOI 10.1007/s10668-021-01282-7
   Long Y., 2024, Cell Reports Sustainability, V1, DOI [10.1016/j.crsus.2024.100053, DOI 10.1016/J.CRSUS.2024.100053]
   Long Y, 2020, J ENVIRON MANAGE, V260, DOI 10.1016/j.jenvman.2020.110108
   Loveridge A, 2024, GLOBAL ENVIRON CHANG, V84, DOI 10.1016/j.gloenvcha.2023.102773
   Lowe J, 2020, LECT NOTES COMPUT SC, V12066, P469, DOI 10.1007/978-3-030-44999-5_39
   Lundberg SM, 2017, ADV NEUR IN, V30
   Mori K, 2012, ENVIRON IMPACT ASSES, V32, P94, DOI 10.1016/j.eiar.2011.06.001
   Moussiopoulos N, 2010, CITIES, V27, P377, DOI 10.1016/j.cities.2010.06.001
   Ning X.G., 2023, Remote Sens, V15
   Ozkan F, 2016, ENERG SOURCE PART B, V11, P1006, DOI 10.1080/15567249.2014.931485
   Patalano A., 2012, Japan's Maritime Past, Present and Future 1, Sea Power and the Asia-Pacific, P93
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Peppin K., 2016, Teach. Geogr., V41, P64
   Ranstam J, 2018, BRIT J SURG, V105, P1348, DOI 10.1002/bjs.10895
   Shinohara M, 2017, RES TRANSP BUS MANAG, V22, P100, DOI 10.1016/j.rtbm.2016.08.005
   Silver C, 2015, J URBAN HIST, V41, P165
   Stanziani A, 2011, INT J ASIAN STUD, V8, P97, DOI 10.1017/S1479591410000306
   Stossel Z, 2015, ECOL ECON, V120, P153, DOI 10.1016/j.ecolecon.2015.10.010
   Takahashi K., 2018, 37 ASME INT C OC
   Tozer L, 2022, GLOBAL ENVIRON CHANG, V74, DOI 10.1016/j.gloenvcha.2022.102521
   van Dijk MP, 2005, ENVIRON IMPACT ASSES, V25, P667, DOI 10.1016/j.eiar.2004.10.001
   Velasco E, 2013, ATMOS CHEM PHYS, V13, P10185, DOI 10.5194/acp-13-10185-2013
   Visvanathan M, 2009, IEEE INT C BIO BIO W, P234
   Vivoda V, 2011, J EAST ASIAN STUD, V11, P223, DOI 10.1017/S1598240800007177
   Xu P.Q., 2019, Sustainability, V11, P12
   Zha JP, 2019, SOCIO-ECON PLAN SCI, V66, P47, DOI 10.1016/j.seps.2018.07.003
   Zhao YH, 2018, CHINA ECON REV, V49, P24, DOI 10.1016/j.chieco.2017.12.010
NR 48
TC 4
Z9 4
U1 21
U2 33
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 101903
DI 10.1016/j.uclim.2024.101903
EA APR 2024
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA SM7P3
UT WOS:001234938500001
DA 2025-04-22
ER

PT J
AU Surjan, AK
   Shaw, R
AF Surjan, Akhilesh Kumar
   Shaw, Rajib
TI 'Eco-city' to 'disaster-resilient eco-community': a concerted approach
   in the coastal city of Puri, India
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Eco-city; Eco-community; Urban environmental risk; Traditional knowledge
   and practices; Local environment
AB The need for environmental and urban planning reached a critical point in the year 2007, when one-half of the world's population could be defined as living in cities. Urbanisation in India is also increasing at a fast rate. Urban chaos in India, emanating from the continuous ignorance of fragile ecosystems, calls for the reshaping of existing cities as 'eco-cities'. The 'eco-city' -a well-known concept in the western world-is new to the Indian context. While western connotations of eco-cities should not be discarded outright in the context of India, core concerns vary significantly for obvious reasons. Recognising two facts firstly, eco-city development is altogether a fresh approach to human settlement development in India, and, secondly, the manifold increase in the vulnerability of cities-this paper discusses documented good practice, reinforcing evolution towards the eco-city vision. Lessons drawn from the examples cited are further deconstructed in the light of their contribution to urban risk reduction, which provides direction to appreciating the 'disaster-resilient eco-community' concept in Puri, a coastal city in India. Further, this paper attempts to unravel existing community-based practices in Puri, which are boon to the local environment and invariably reduce disaster risk. These seemingly modest neighbourhood initiatives symbolise immense societal wealth, which can be calibrated appropriately for reducing urban environmental risk as well. This paper also illustrates how a 'disaster resilient eco-community' approach is inevitable in the present and future contexts not only to preserve sustainable development gains but also to secure human well-being.
C1 [Surjan, Akhilesh Kumar; Shaw, Rajib] Kyoto Univ, Grad Sch Global Environm Studies, Sakyo Ku, Kyoto 6068501, Japan.
C3 Kyoto University
RP Surjan, AK (corresponding author), Kyoto Univ, Grad Sch Global Environm Studies, Sakyo Ku, Yoshida Honmachi, Kyoto 6068501, Japan.
EM akhilesh.surjan@yahoo.com
RI Shaw, Rajib/AAI-4834-2020; Surjan, Akhilesh/Q-1099-2016
OI Surjan, Akhilesh/0000-0001-6795-4704; Shaw, Rajib/0000-0003-3153-1800
CR *ADPC, 2004, COMM BAS DIS RISK MA
   [Anonymous], DIS RISK RED 2007 GL
   *ASEM, 2004, C EC MAK
   *CPCB, 2007, ANN REP 2004 05 CENT
   Kline Elizabeth., 2000, LOCAL ENVIRON, V5, P343, DOI DOI 10.1080/13549830050134275
   *MAPS IND COM, 2006, IND POL MAP
   *MOEF, 2002, CITY CLEANS STOR SUR
   *MOEF, 2006, ANN REP 2005 2006 MI, pCH9
   *MOEF, 1991, COAST REG ZON
   OECD, 1996, INN POL SUST URB DEV
   *OFF DISTR COLL, 2005, DISTR DIS MAN PLAN 2
   *OSDMA, 2007, 165 PLAC OR VULN TSU
   *OSDMA, 2007, VULN OR TSUN
   PATNAIK S, 2005, THESIS SCH PLANNING
   Patnaik U., 2005, INT WORKSH HUM SEC C
   *PCDP, 2006, PUR CIT DEV PLAN 200
   *RDMD, 2006, ANN REP 2005 06 REV
   Resilience Alliance, 2007, RES PROSP URB RES RE
   REVI A, 2008, ENV URBANIZ IN PRESS, V20
   Roseland M, 2000, PROG PLANN, V54, P73, DOI 10.1016/S0305-9006(00)00003-9
   Roseland M., 2001, How Green is the City?, P85
   Roseland M., 1999, Communities, Development, and Sustainability across Canada, P190
   SCHUBERT U, 1998, PUBLICREADING ECOCIT
   *SPA, 2005, EC DEV PLAN PUR
   SUJATHA R, 2006, HINDU           0409
   *TERI, 2001, IND STAT ENV 2001
   Thomalla F, 2004, DISASTERS, V28, P373, DOI 10.1111/j.0361-3666.2004.00264.x
   *UN ISDR, 2004, VIS RISKS REV GLOB I
   World Bank, 2007, STRENGTH I SUST GROW
   2006, ORISSA GAZETTE  1103
   2006, US TODAY        0810
   2007, EC TIMES        1017
   PURI CITY MAP
NR 33
TC 16
Z9 16
U1 3
U2 58
PU SPRINGER TOKYO
PI TOKYO
PA 1-11-11 KUDAN-KITA, CHIYODA-KU, TOKYO, 102-0073, JAPAN
SN 1862-4065
J9 SUSTAIN SCI
JI Sustain. Sci.
PD OCT
PY 2008
VL 3
IS 2
BP 249
EP 265
DI 10.1007/s11625-008-0051-3
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 417UN
UT WOS:000264104100008
DA 2025-04-22
ER

PT J
AU Marks, D
   Pulliat, G
AF Marks, Danny
   Pulliat, Gwenn
TI Climate Governance in Southeast Asian small and mid-sized cities:
   undermining resilience and distributing risks unevenly
SO JOURNAL OF INTEGRATIVE ENVIRONMENTAL SCIENCES
LA English
DT Article
DE Incomplete decentralization; secondary cities; urban climate resilience;
   mainland Southeast Asia; fragmented urban governance; urban political
   ecology
ID POLITICAL ECOLOGY; DECENTRALIZATION; WATER; ADAPTATION; PROMISES;
   MYANMAR; FLOODS
AB Secondary cities are home to most of the world's urban populations vulnerable to climate change, yet researchers and policymakers have devoted less attention to them than large and megacities. To help address this gap, this paper explores the relationship between incomplete decentralized governance, climate change, and urban resilience. It does through the case studies of secondary cities of Cambodia, Myanmar, Thailand, and Vietnam. Secondary cities are of importance because they are the fastest growing cities in the Global South but also because they have weaker capacity to address climate risks. Through these case studies, the paper draws comparisons between the different cases to look at the linkages between decentralization and urban resilience in secondary cities. Overall, it argues that climate governance, due to the retention of power and resources by central bureaucrats along with fragmented governance structures, and misaligned incentive structures which prioritize economic growth over climate protection have undermined resilience building and contributed to the uneven distribution of climate risks in these cities.
C1 [Marks, Danny] Dublin City Univ, Sch Law & Govt, Henry Grattan Bldg,CA 121, Dublin, Ireland.
   [Pulliat, Gwenn] French Natl Ctr Sci Res CNRS, Res Unit ART Dev, Montpellier, France.
C3 Dublin City University; Centre National de la Recherche Scientifique
   (CNRS)
RP Marks, D (corresponding author), Dublin City Univ, Sch Law & Govt, Henry Grattan Bldg,CA 121, Dublin, Ireland.
EM danny.marks@dcu.ie
RI Pulliat, Gwenn/HMP-5282-2023
OI Pulliat, Gwenn/0000-0003-2649-5614; Marks, Danny/0000-0003-0833-880X
FU Social Sciences and Humanities Research Council of Canada (SSHRC);
   International Development Research Centre (IDRC) of Canada
FX This work was supported by both the the Social Sciences and Humanities
   Research Council of Canada (SSHRC) and the International Development
   Research Centre (IDRC) of Canada.
CR Anh VTT, 2016, J SOUTHEAST ASIAN EC, V33, P188, DOI 10.1355/ae33-2e
   Bahadur AV, 2015, INT J URBAN SUSTAIN, V7, P196, DOI 10.1080/19463138.2015.1060595
   Baker JL., 2017, URBAN DEV PHNOM PENH
   Bello W., 2019, PALGRAVE HDB SOCIAL, P249
   Bene C., 2012, 405 IDS, V2012, DOI [10.1111/j.2040-0209.2012.00405.x, DOI 10.1111/J.2040-0209.2012.00405.X]
   Berbés-Blázquez M, 2017, CLIMATIC CHANGE, V141, P227, DOI 10.1007/s10584-017-1897-0
   Beringer AL, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051452
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Brown JC, 2005, GEOFORUM, V36, P607, DOI 10.1016/j.geoforum.2004.09.001
   Dahm H., 2016, MANAGING CHANGE BURE
   Daniere A., 2019, URBAN CLIMATE RESILI
   Eng N, 2016, J SOUTHEAST ASIAN EC, V33, P209, DOI 10.1355/ae33-2f
   Eng N, 2016, PUBLIC ADMIN DEVELOP, V36, P250, DOI 10.1002/pad.1765
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Faguet JP, 2013, WORLD DEV, V53, P2, DOI 10.1016/j.worlddev.2013.01.002
   Friend R, 2014, URBAN CLIM, V7, P6, DOI 10.1016/j.uclim.2013.08.001
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Garschagen M, 2015, PAC AFF, V88, P599, DOI 10.5509/2015883599
   Garschagen M, 2016, HABITAT INT, V52, P43, DOI 10.1016/j.habitatint.2015.08.030
   Gilfillan D, 2017, ECOL SOC, V22, DOI 10.5751/ES-09235-220314
   Homsy G.C., 2018, Climate change in cities, P19, DOI DOI 10.1007/978-3-319-65003-6_2
   Horlings J, 2017, THESIS U OTTAWA
   International Centre for Environmental Management, 2015, PROJ DESCR CLIM RES
   Larsen RK, 2011, GLOBAL ENVIRON CHANG, V21, P481, DOI 10.1016/j.gloenvcha.2010.12.009
   Phuong LTH, 2018, J ENVIRON POL PLAN, V20, P518, DOI 10.1080/1523908X.2018.1447366
   Lee T, 2015, URBAN CLIM, V14, P566, DOI 10.1016/j.uclim.2015.09.003
   Malesky EJ, 2016, J SOUTHEAST ASIAN EC, V33, P125, DOI 10.1355/ae33-2a
   Mansrisuk C., 2012, European Journal of East Asian Studies, V11, P71, DOI [10.1163/15700615-20120007, DOI 10.1163/15700615-20120007]
   Marks D, 2021, WATER ALTERN, V14, P795
   Marks D, 2019, URBAN BOOK SERIES, P41, DOI 10.1007/978-3-319-98968-6_3
   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
   Mehiriz K, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163390
   Minderhoud PSJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7146
   Mitchell D, 2015, LAND USE POLICY, V48, P190, DOI 10.1016/j.landusepol.2015.05.026
   Moon E., 2018, PACIFIC STANDARD
   Morgan PJ., 2017, CENTRAL LOCAL GOVT R
   Morgenbesser L, 2020, ELEM POLIT SOC SE AS, pII, DOI 10.1017/9781108630061
   NAGAI F., 2008, Local government in thailand: Analysis of the local administrative organization survey
   Naivinit W., 2008, IWRA
   Ninh KNB, 2016, J SOUTHEAST ASIAN EC, V33, P224, DOI 10.1355/ae33-2g
   Pahl-Wostl C, 2012, ENVIRON SCI POLICY, V23, P24, DOI 10.1016/j.envsci.2012.07.014
   Pelling M., 2003, VULNERABILITY CITIES
   Reeder G, 2019, URBAN BOOK SERIES, P103, DOI 10.1007/978-3-319-98968-6_6
   Roberts J.L, 2018, ROUTLEDGE HDB CONT M
   Rodan Garry., 2018, Participation without Democracy: Containing Conflict in Southeast Asia
   San Juan DMM, 2018, J DEV SOC, V34, P325, DOI 10.1177/0169796X18784442
   Scott Zoe., 2011, Study on Disaster Risk Reduction, Decentralization and Political Economy
   Shirai N, 2018, J DISASTER RES, V13, P70
   Skidmore M, 2013, LAND ECON, V89, P101, DOI 10.3368/le.89.1.101
   Tselios V, 2017, ENVIRON HAZARDS-UK, V16, P228, DOI 10.1080/17477891.2016.1277967
   UNDP U., 1999, Working Paper
   Unger D, 2016, J SOUTHEAST ASIAN EC, V33, P172, DOI 10.1355/ae33-2d
   Unruh GC, 2000, ENERG POLICY, V28, P817, DOI 10.1016/S0301-4215(00)00070-7
   Va D, 2015, THESIS BOND U
   Wright C., 2016, DIPLOMAT        0609
NR 59
TC 9
Z9 10
U1 3
U2 28
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1943-815X
EI 1943-8168
J9 J INTEGR ENVIRON SCI
JI J. Integr. Environ. Sci.
PD DEC 31
PY 2022
VL 19
IS 1
BP 141
EP 159
DI 10.1080/1943815X.2022.2127774
PG 19
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 4Y1NV
UT WOS:000861300000001
OA Green Published, Green Accepted, gold
DA 2025-04-22
ER

PT J
AU Yao, FG
   Li, L
   Liang, JY
AF Yao, Fengge
   Li, Lin
   Liang, Jiayuan
TI Spatial and temporal evolution of urban resilience in China and analysis
   of barriers: Based on a sustainable development perspective
SO PLOS ONE
LA English
DT Article
ID CITY; BEHAVIOR; POLICY
AB With the increasing uncertainty of urban security, urban resilience construction with risk awareness and bottom-line thinking has become essential for promoting sustainable urban development. This paper measures China's urban resilience development index (CRDI) based on 284 cities in China (except Tibet) using the entropy method from four dimensions: economic, social, environmental, and infrastructure, and analyzes it by combining coupling coordination degree and barrier factor analysis. We find that: (1) At the national level, CRDI and its sub-dimensions show an increasing trend in time, a decreasing spatial layout from coastal to inland, and a "high-high-low-low" clustering feature in space. (2) At the regional level, the CRDI is from high to low in the east, middle, and west order. The sub-dimensions are from high to low in the order of east, middle, and west for economic, social, and infrastructure resilience and from high to low in the order of east, west, and middle for environmental resilience. (3) To coupling coordination degree, the CRDI index coupling coordination is increasing in time trend but is still on the verge of dissonance. (4) Social resilience is the main obstacle factor. In the indicator layer, human resources, innovation, education, security, living, and environmental protection are the areas where CRDI coordinated development is the key to improvement. Based on the above empirical evidence, this paper proposes countermeasures to optimize urban resilience construction from four perspectives: economic, social, environmental, and infrastructure.
C1 [Yao, Fengge; Li, Lin; Liang, Jiayuan] Harbin Univ Commerce, Sch Finance, Harbin, Peoples R China.
C3 Harbin University of Commerce
RP Liang, JY (corresponding author), Harbin Univ Commerce, Sch Finance, Harbin, Peoples R China.
EM timljy1994@gmail.com
OI Liang, Jiayuan/0000-0003-2002-5590
FU National Social Science Foundation of China [17BJY119]; Harbin
   University of Commerce 2020 Postgraduate Innovation Research Funding
   Program [YJSCX2020-624HSD]
FX This work was supported by the National Social Science Foundation of
   China (17BJY119) and the Harbin University of Commerce 2020 Postgraduate
   Innovation Research Funding Program (YJSCX2020-624HSD).The funders
   provided the cost of data collection and the software needed for the
   study. The funders had no role in study design, data collection and
   analysis, decision to publish, or preparation of the manuscript.
CR Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Ajibade I, 2017, INT J DISAST RISK RE, V26, P85, DOI 10.1016/j.ijdrr.2017.09.029
   Annibal Villela., 1981, Entropy: a new world view
   Batty M., 2009, Cities as Complex Systems: Scaling, Interaction, Networks, Dynamics and Urban Morphologies, DOI [10.1007/978-0-387-30440-3_69, DOI 10.1007/978-0-387-30440-3_69]
   Beck U., 1999, World Risk Society
   Borie M, 2019, ENVIRON SCI POLICY, V99, P1, DOI 10.1016/j.envsci.2019.05.014
   Croese S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020550
   CROPPER WH, 1986, AM J PHYS, V54, P1068, DOI 10.1119/1.14740
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Debnath R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020938
   Dempsey N, 2011, SUSTAIN DEV, V19, P289, DOI 10.1002/sd.417
   Ebisudani M., 2016, Journal of Sustainable Development, V9, P33
   Finch C, 2010, POPUL ENVIRON, V31, P179, DOI 10.1007/s11111-009-0099-8
   Gao YP, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244024
   Georgescu-RoegenNicholas, 1971, Harvard University Press
   Gulyas BZ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031465
   He BJ, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103685
   Hill E, 2012, URBAN AND REGIONAL POLICY AND ITS EFFECTS: BUILDING RESILIENT REGIONS, VOL 4, P193
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong T, 2022, MATH PROBL ENG, V2022, DOI 10.1155/2022/7339005
   Huang XJ, 2018, ECOL INDIC, V87, P47, DOI 10.1016/j.ecolind.2017.12.043
   Hudec O, 2018, CITIES, V73, P24, DOI 10.1016/j.cities.2017.10.004
   Iturriza M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113054
   Jha Abhas., 2013, Tools for Building Urban Resilience, DOI [10.1596/9780821388655_CH02, DOI 10.1596/9780821388655_CH02]
   Joerin J, 2014, DISASTERS, V38, P540, DOI 10.1111/disa.12058
   Khazai B., 2015, A Guide to Measuring Urban Risk Resilience: Principles, Tools and Practice of Urban Indicators
   Klammler H., 2018, Environment Systems & Decisions, V38, P140, DOI 10.1007/s10669-017-9649-2
   Lehtonen M, 2004, ECOL ECON, V49, P199, DOI 10.1016/j.ecolecon.2004.03.019
   Mallick SK, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103196
   McDermott T., 2017, INSIGHT, V19, DOI DOI 10.1002/INST.12132
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Moran DD, 2008, ECOL ECON, V64, P470, DOI 10.1016/j.ecolecon.2007.08.017
   Motesharrei S, 2016, NATL SCI REV, V3, P470, DOI 10.1093/nsr/nww081
   Mu XF, 2022, J GEOGR SCI, V32, P1766, DOI 10.1007/s11442-022-2022-5
   Owrangi AM, 2015, NAT HAZARDS, V77, P67, DOI 10.1007/s11069-014-1582-9
   Qiu D, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031285
   Rafael S, 2016, SCI TOTAL ENVIRON, V566, P1500, DOI 10.1016/j.scitotenv.2016.06.037
   Renald A, 2016, PROCD SOC BEHV, V227, P334, DOI 10.1016/j.sbspro.2016.06.079
   Rusadi Emmy, 2020, World Cities Report 2020, DOI [10.18356/27bc31a5-en, DOI 10.18356/27BC31A5-EN]
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Sharif A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031220
   Sharifi A, 2014, PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE & UTILITY EXHIBITION ON GREEN ENERGY FOR SUSTAINABLE DEVELOPMENT (ICUE)
   Silva J., 2014, City resilience framework: A holistic evidence-based framework for understanding city resilience, P188
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Tong Y., 2020, Acta Geographica Sinica, V75, P2505, DOI [10.11821/dlxb202011017, DOI 10.11821/DLXB202011017]
   Wang QL, 2021, OCEAN COAST MANAGE, V207, DOI 10.1016/j.ocecoaman.2018.09.004
   Wang Y, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102752
   Wink R, 2014, RAUMFORSCH RAUMORDN, V72, P83, DOI 10.1007/s13147-014-0283-x
   Wu CF, 2021, WATER-SUI, V13, DOI 10.3390/w13152021
   Xinlu XIE., 2017, Chinese Journal of Urban and Environmental Studies, V5, P19
   Xiong K., 2022, Resilient smart cities: Theoretical and empirical insights, P93, DOI [10.1007/978-3-030-95037-8_5, DOI 10.1007/978-3-030-95037-8_5]
   Yabe Takahiro, 2020, J R Soc Interface, V17, P20190532, DOI 10.1098/rsif.2019.0532
   Zhang H, 2011, TOURISM MANAGE, V32, P443, DOI 10.1016/j.tourman.2010.02.007
   Zhang P., 2018, URBAN PROBL, V9, P27, DOI 10.13239/j.bjsshkxy.cswt.180904
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhao PJ, 2013, SUSTAINABILITY-BASEL, V5, P3202, DOI 10.3390/su5073202
NR 56
TC 2
Z9 2
U1 7
U2 33
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 FEB 6
PY 2024
VL 19
IS 2
AR e0285113
DI 10.1371/journal.pone.0285113
PG 28
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA HG9D5
UT WOS:001158447500002
PM 38319927
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Judice, A
   Gordon, J
   Abrams, J
   Irwin, K
AF Judice, Abbie
   Gordon, Jason
   Abrams, Jesse
   Irwin, Kris
TI Community Perceptions of Tree Risk and Management
SO LAND
LA English
DT Article
DE urban forestry; tree risk management; community perceptions; resilience
ID URBAN FORESTRY; ECOSYSTEM SERVICES; RESILIENCE; ATTITUDES; BENEFITS;
   POLICIES; NEEDS; FOCUS
AB Urban forests (trees growing in urban and peri-urban areas, including villages and large cities) are vital to mitigating the effects of climate change and urbanization but require special considerations such as risk mitigation in developed landscapes. Despite abundant research on risk perceptions of natural hazards, there is limited knowledge about risk perceptions associated with urban trees. As such, this research examines community perceptions of urban tree risk mitigation with a focus on four cities in the U.S. south. To better understand risk perceptions and mitigation, this study employs key informant interviews with community members. Guided by a socio-ecological resilience framework, the findings identify factors affecting resident attitudes towards tree management on the individual parcel and the community levels. The findings benefit tree risk governance in the face of climate variability, which increases societal and environmental vulnerability in urban settings.
C1 [Judice, Abbie; Gordon, Jason; Abrams, Jesse; Irwin, Kris] Univ Georgia, Warnell Sch Forestry & Nat Resources, Athens, GA 30602 USA.
C3 University System of Georgia; University of Georgia
RP Gordon, J (corresponding author), Univ Georgia, Warnell Sch Forestry & Nat Resources, Athens, GA 30602 USA.
EM abbie.judice@uga.edu; jason.gordon@uga.edu; jesse.abrams@uga.edu;
   kirwin@uga.edu
RI Abrams, Jesse/AFK-6376-2022
OI Abrams, Jesse/0000-0002-1937-4606
FU Society of American Foresters; Kurt Gottschalk Science Fund; National
   Garden Club; National Garden Club, Louisiana Chapter
FX This research was funded by the Society of American Foresters, Kurt
   Gottschalk Science Fund, and the National Garden Club, Louisiana
   Chapter.
CR Adams John, 2007, Arboricultural Journal, V30, P95
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Barrell Jeremy, 2012, Arboricultural Journal, V34, P29, DOI 10.1080/03071375.2012.691674
   Baur JWR, 2016, URBAN FOR URBAN GREE, V17, P42, DOI 10.1016/j.ufug.2016.03.012
   Berg B.L., 2004, METHODS SOCIAL SCI
   Boyatzis R, 1998, TRANSFORMING QUALITA
   Bryman A., 2016, Social research methods
   Carmichael CE, 2018, URBAN FOR URBAN GREE, V31, P221, DOI 10.1016/j.ufug.2018.03.009
   Conway Tenley M., 2007, Urban Forestry & Urban Greening, V6, P181, DOI 10.1016/j.ufug.2007.07.003
   De Vreese R, 2018, URBAN FOREST BASED S
   Dombrow Jonathan., 2000, Appraisal Journal, P39
   Driscoll AN, 2015, URBAN FOR URBAN GREE, V14, P48, DOI 10.1016/j.ufug.2014.11.004
   DWYER JF, 1994, J FOREST, V92, P12
   Ellison Mike, 2007, Arboricultural Journal, V30, P137
   Elmendorf William F., 2003, Journal of Arboriculture, V29, P237
   Fay Neville, 2007, Arboricultural Journal, V30, P143
   Freudenburg W., 1992, SOCIAL THEORIES RISK
   Galenieks A, 2017, URBAN FOR URBAN GREE, V22, P105, DOI 10.1016/j.ufug.2017.02.004
   Gill SE, 2007, Built Environ, V33, P115, DOI DOI 10.2148/BENV.33.1.115
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gordon JS, 2012, J FOREST, V110, P74, DOI 10.5849/jof.10-086
   Grado Stephen C., 2013, Arboriculture & Urban Forestry, V39, P149
   Gullick D, 2019, COMPUT ENVIRON URBAN, V75, P217, DOI 10.1016/j.compenvurbsys.2019.02.001
   Hauer R. J., 2016, SPECIAL PUBLICATION, V16-1
   Hewitt V., 2014, COOL POLICIES COOL C
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huff Emily S., 2020, Arboriculture & Urban Forestry, V46, P185
   Hull R.Bruce., 1992, J ARBORICULT, V18, P98
   Janse Gerben, 2007, Urban Forestry & Urban Greening, V6, P23, DOI 10.1016/j.ufug.2006.09.005
   Johnson C., 1982, J ARBORICULT, V8, P160, DOI [10.48044/jauf.1982.038, DOI 10.48044/JAUF.1982.038]
   Jonnes J., 2016, Urban Forests: A natural history of trees and people in the American cityscape
   Kabir E, 2018, RELIAB ENG SYST SAFE, V177, P68, DOI 10.1016/j.ress.2018.04.026
   KASPERSON RE, 1992, SOCIAL THEORIES OF RISK, P153
   Kenney W. Andy, 2011, Arboriculture & Urban Forestry, V37, P108
   Klein Ryan W., 2019, Arboriculture & Urban Forestry, V45, P26
   Koeser Andrew K., 2016, Arboricultural Journal, V38, P218, DOI 10.1080/03071375.2016.1221178
   Koeser AK, 2015, URBAN FOR URBAN GREE, V14, P968, DOI 10.1016/j.ufug.2015.09.004
   Kuehler E, 2017, ECOHYDROLOGY, V10, DOI 10.1002/eco.1813
   Kunreuther H., 1992, SOCIAL THEORIES RISK, P12
   Lavy BL, 2019, URBAN FOR URBAN GREE, V44, DOI 10.1016/j.ufug.2019.126394
   Maas J, 2009, J EPIDEMIOL COMMUN H, V63, P967, DOI 10.1136/jech.2008.079038
   Moeller G. H., 1977, Journal of Arboriculture, V3, P181
   Morgan DL, 1996, ANNU REV SOCIOL, V22, P129, DOI 10.1146/annurev.soc.22.1.129
   Mortimer M. J., 2004, Urban Forestry & Urban Greening, V2, P159, DOI 10.1078/1618-8667-00032
   Moskell C, 2013, LANDSCAPE URBAN PLAN, V120, P85, DOI 10.1016/j.landurbplan.2013.08.002
   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 D. J., 2010, Sustaining America's Urban Trees and Forests: a Forests on the Edge Report
   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]
   Ordóñez C, 2019, LANDSCAPE URBAN PLAN, V189, P166, DOI 10.1016/j.landurbplan.2019.04.020
   Ordóñez C, 2013, LANDSCAPE URBAN PLAN, V116, P36, DOI 10.1016/j.landurbplan.2013.04.007
   Pincetl S, 2010, ENVIRON MANAGE, V45, P227, DOI 10.1007/s00267-009-9412-7
   Pokorny J.D., 2003, URBAN TREE RISK MANA
   Renn O, 2004, GENEVA PAP R I-ISS P, V29, P102, DOI 10.1111/j.1468-0440.2004.00275.x
   Ricard RM, 2005, J FOREST, V103, P230
   Santiago L, 2020, URBE-CURITIBA, V12, DOI 10.1590/2175-3369.012.e20190062
   Schwab J.C., 2009, Planning the Urban Forest: Ecology, Economy, and Community Development
   Seamans GS, 2013, URBAN FOR URBAN GREE, V12, P2, DOI 10.1016/j.ufug.2012.08.004
   Sievert R.C., 1988, Journal of Arboriculture, V14, P48
   SLOVIC P, 1992, SOCIAL THEORIES OF RISK, P117
   Steenberg JWN, 2019, LANDSCAPE URBAN PLAN, V186, P24, DOI 10.1016/j.landurbplan.2019.02.006
   Strauss AL, 1990, BASICS QUALITATIVE R
   Treiman Thomas, 2004, Journal of Arboriculture, V30, P205
   TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124
   U.S. Census Bureau Population Division, 2018, ANN EST RES POP APR
   Visschers VHM, 2007, RISK ANAL, V27, P715, DOI 10.1111/j.1539-6924.2007.00915.x
   Wang CH, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102687
   Wilkinson K.P., 1991, The community in rural America
   Willis KJ, 2017, SCIENCE, V356, P374, DOI 10.1126/science.aam9724
   Wuebbles D.J., 2017, Climate science special report: Fourth National Climate Assessment, VI, P470, DOI DOI 10.7930/J0J964J6
   Wyman M, 2012, SOUTH J APPL FOR, V36, P152, DOI 10.5849/sjaf.10-022
   WYNNE B, 1992, SOCIAL THEORIES OF RISK, P275
   Young RF, 2013, URBAN ECOSYST, V16, P703, DOI 10.1007/s11252-013-0287-2
NR 72
TC 7
Z9 9
U1 5
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD OCT
PY 2021
VL 10
IS 10
AR 1096
DI 10.3390/land10101096
PG 19
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 2I9TU
UT WOS:000815314100001
OA gold
DA 2025-04-22
ER

PT J
AU Dieperink, C
   Mees, H
   Priest, SJ
   Ek, K
   Bruzzone, S
   Larrue, C
   Matczak, P
AF Dieperink, Carel
   Mees, Hannelore
   Priest, Sally J.
   Ek, Kristina
   Bruzzone, Silvia
   Larrue, Corinne
   Matczak, Piotr
TI Managing urban flood resilience as a multilevel governance challenge: an
   analysis of required multilevel coordination mechanisms
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE Belgium; coordination; England; flood risk management; France;
   multilevel governance; Poland; resilience; Sweden; The Netherlands; UK;
   urban flooding
ID RISK-MANAGEMENT; CLIMATE-CHANGE; NETHERLANDS; ADAPTATION; FRAMEWORK;
   GERMANY
AB In both academic literature and flood risk management practices, it is argued that governance initiatives are needed to enhance the flood resilience of urban agglomerations. Multiple levels of governance will be involved in this activity. However, thus far, the literature has hardly addressed what mechanisms are required to coordinate the different levels of managing urban flood resilience, and what factors account for these mechanisms. Our aim is to address this knowledge gap. Here, we examine six in-depth case studies undertaken in urban agglomerations in different European countries: Dordrecht, the Netherlands; Hull, UK; Geraardsbergen, Belgium; Karlstad, Sweden; Wroclaw, Poland; and Nice, France. The case studies reveal the ways in which multiple levels of governance are involved in managing urban flood resilience. Coordination among governance levels is achieved by proactive policy entrepreneurs, the use of bridging concepts, clear rules, and the provision of resources. These mechanisms seem to be universally applicable, but their characteristics appear to be highly dependent on more general institutional, economic, geographical, and cultural contextual factors.
C1 [Dieperink, Carel] Univ Utrecht, Copernicus Inst Sustainable Dev, Environm Governance, Utrecht, Netherlands.
   [Mees, Hannelore] Antwerp Univ, Res Grp Environm & Soc, Antwerp, Belgium.
   [Priest, Sally J.] Middlesex Univ, Flood Hazard Res Ctr, London, England.
   [Ek, Kristina] Lulea Univ Technol, Div Social Sci, Lulea, Sweden.
   [Bruzzone, Silvia] ENPC, Marne La Vallee, France.
   [Larrue, Corinne] Univ Paris Est, Paris Sch Planning, Paris, France.
   [Matczak, Piotr] Adam Mickiewicz Univ, Inst Sociol, Poznan, Poland.
C3 Utrecht University; University of Antwerp; Middlesex University; Lulea
   University of Technology; Institut Polytechnique de Paris; Ecole des
   Ponts ParisTech; Adam Mickiewicz University
RP Dieperink, C (corresponding author), Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.
EM c.dieperink@uu.nl
RI Dieperink, Carel/M-4458-2013; Matczak, Piotr/N-2059-2019
OI Ek, Kristina/0000-0002-7199-7843; Matczak, Piotr/0000-0002-8638-0141
FU European Union's Seventh Framework Programme [308364]
FX The work described in this publication was supported by the European
   Union's Seventh Framework Programme through the grant to the budget of
   the Integrated Project STAR-FLOOD, contract 308364. The authors thank
   Dries Hegger and Peter Driessen as well as three anonymous reviewers for
   their valuable comments on earlier drafts of this paper.
CR Administrative Board of Vastra Gotaland and County Administrative Board of Varmland, 2011, STIG VATT HDB FYS PL
   Alexander Meghan, 2016, Analysing and Evaluating Flood Risk Governance in England: Enhancing Societal Resilience through Comprehensive and Aligned Flood Risk Governance Arrangements
   [Anonymous], 2007, SWED FAC CLIM CHANG
   [Anonymous], 2012, OV SVER 1901 2010
   [Anonymous], 2016, ECOL SOC, DOI DOI 10.5751/ES-08854-210452
   Brand FS, 2007, ECOL SOC, V12
   Brown R.R., 2007, TRANSITION WATER SEN
   Brugnach M, 2012, ENVIRON SCI POLICY, V15, P60, DOI 10.1016/j.envsci.2011.10.005
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   CIW, 2015, AANP WAT TRANS NAAR
   Coordinatiecommissie Integraal Waterbeleid (CIW), 2009, BEKK DEND INT WAT PR
   Dieperink C, 2016, WATER RESOUR MANAG, V30, P4467, DOI 10.1007/s11269-016-1491-7
   Dieperink C., 2007, MILIEUBELEID ANAL PE, P239
   Dieperink C, 2012, SUSTAIN DEV, V20, P58, DOI 10.1002/sd.464
   Direction Regionale de l'Environnement de l'Amenagement et du Logement Provence-Alpes-Cote- d'Azur ( DREAL PACA), 2017, POP EMPL IMP SURF IN
   Dubicki A., 1999, Dorzecze Odry: Monografia Powodzi, Lipiec 1997
   Edelenbos J, 2009, AM REV PUBLIC ADM, V39, P125, DOI 10.1177/0275074008317157
   Ek K., 2016, ANAL EVALUATING FLOO
   Environment Agency, 2010, HULL COAST STREAMS C
   Fleischhauer M, 2012, NAT HAZARD EARTH SYS, V12, P2785, DOI 10.5194/nhess-12-2785-2012
   Garrelts H, 2011, AMBIO, V40, P200, DOI 10.1007/s13280-010-0131-3
   Green C., 2010, FLOOD RISK SCI MANAG, P372, DOI [10.1002/9781444324846.ch18, DOI 10.1002/9781444324846.CH18]
   Greiving S, 2014, ADV NAT TECH HAZ RES, V34, P287, DOI 10.1007/978-94-007-6769-0_10
   Hanssen GS, 2013, LOCAL ENVIRON, V18, P869, DOI 10.1080/13549839.2012.738657
   Hartmann T, 2017, J FLOOD RISK MANAG, V10, P145, DOI 10.1111/jfr3.12077
   Hartmann T., 2009, Built Environment, V35, P531, DOI DOI 10.2148/BENV.35.4.531
   Hegger DLT, 2014, WATER RESOUR MANAG, V28, P4127, DOI 10.1007/s11269-014-0732-x
   Huitema D, 2009, WATER POLICY ENTREPRENEURS: A RESEARCH COMPANION TO WATER TRANSITIONS AROUND THE GLOBE, P1
   Hull City Council and East Riding of Yorkshire Council (HCC and ERYC), 2018, WILL DERR FLOOD ALL
   Hull City Council (HCC), 2007, HULL CIT COUNC STRAT
   Hull City Council (HCC), 2009, HULL CIT COUNC SURF
   Hull City Council (HCC), 2011, CDR2011035 HCC
   Immink I., 2005, LANDSCAPE RES LANDSC, V12, P387
   IPCC, 2003, 21 SESS IPCC VIENN A, DOI [DOI 10.4324/9781315270326-109, 10.4324/9781315270326-109]
   Johannessen Å, 2013, GLOBAL ENVIRON CHANG, V23, P372, DOI 10.1016/j.gloenvcha.2012.07.009
   Jongman B, 2014, NAT CLIM CHANGE, V4, P264, DOI [10.1038/NCLIMATE2124, 10.1038/nclimate2124]
   Karlstad Local Authority (Karlstads kommun), 2010, OV KARLST KOMM
   Karlstad Local Authority (Karlstads kommun), 2012, STRAT PLAN BUDG 2013
   Kaufmann M, 2015, ANAL EVALUATING FLOO
   Kelder E., 2013, Concept Gebiedsrapportage Eiland van Dordrecht
   Kubicki P, 2010, POZNAN SZCZECIN WROC
   Kundzewicz ZW, 1999, HYDROLOG SCI J, V44, P855, DOI 10.1080/02626669909492285
   Larrue Corinne., 2016, Analysing and Evaluating Flood Risk Governance in France: From State Policy to Local Strategies
   Matczak P. Et Al., 2016, ANAL EVALUATING FLOO
   Mees H., 2016, ANAL EVALUATING FLOO
   Mitchell JK, 2003, RISK ANAL, V23, P567, DOI 10.1111/1539-6924.00337
   National Board of Housing Building and Planning, 2010, MANGF YT KLIM BEF BE
   National Board of Housing Building and Planning (Boverket), 2010, KLIM PLAN BYGG AN AT
   Pahl-Wostl C, 2013, ECOL SOC, V18, DOI 10.5751/ES-05779-180458
   Partzsch L, 2011, INT ENVIRON AGREEM-P, V11, P63, DOI 10.1007/s10784-011-9150-1
   Pelnomocnik Rzadu do Spraw Programu dla Odry, 2011, PROJECT REPORT
   Rijke J, 2013, COMPREHENSIVE FLOOD, DOI DOI 10.1201/B13715-149
   River Hull Advisory Board, 2016, RIV HULL INT CATCHM
   Rowe G, 2005, SCI TECHNOL HUM VAL, V30, P251, DOI 10.1177/0162243904271724
   Sitek W., 1997, WSPOLNOTA ZAGROZENIE
   STAR SL, 1989, SOC STUD SCI, V19, P387, DOI 10.1177/030631289019003001
   Stevens MR, 2014, NAT HAZARDS REV, V15, P74, DOI 10.1061/(ASCE)NH.1527-6996.0000116
   van den Brink M, 2011, J WATER CLIM CHANGE, V2, P272, DOI 10.2166/wcc.2011.044
   van Herk S, 2011, ENVIRON SCI POLICY, V14, P543, DOI 10.1016/j.envsci.2011.04.006
   Veenstra-Huisman C. E, 2014, VEILIGHEID NEDERLAND
   Walker G, 2014, NAT HAZARD EARTH SYS, V14, P155, DOI 10.5194/nhess-14-155-2014
   Wiering M, 2006, ENVIRON PLANN C, V24, P423, DOI 10.1068/c0417j
NR 62
TC 26
Z9 28
U1 4
U2 60
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 2018
VL 23
IS 1
AR 31
DI 10.5751/ES-09962-230131
PG 19
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GG1RP
UT WOS:000432464800038
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Krellenberg, K
   Koch, F
   Kabisch, S
AF Krellenberg, Kerstin
   Koch, Florian
   Kabisch, Sigrun
TI Urban Sustainability Transformations in lights of resource efficiency
   and resilient city concepts
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID ECOSYSTEM-BASED ADAPTATION; CLIMATE-CHANGE; TRANSITION APPROACH; ENERGY;
   NEIGHBORHOODS; CITIES; EXPERIMENTATION; INFRASTRUCTURE; URBANIZATION;
   CHALLENGES
AB Based on a review of recent academic literature, this article looks at two interconnected urban concepts, the Resource Efficient City and the Resilient City, which are related to Urban Sustainability Transformations (UST). These concepts, which we analyse with regard to implementation challenges in everyday urban life, particularly address the necessary transformations of cities in the light of climate change. The reviewed articles emphasise that technical measures, as well as the political will to address both concepts, often exist. Nevertheless, implementation gaps still remain. We argue that people-centred approaches that acknowledge perceptions, behaviour, needs and fears of the different actors involved play a decisive role. This calls for joint action by urban actors to foster UST based on deliberative governance processes.
C1 [Krellenberg, Kerstin; Koch, Florian; Kabisch, Sigrun] UFZ Helmholtz Ctr Environm Res, Dept Urban & Environm Sociol, Permoser Str 15, D-04318 Leipzig, Germany.
C3 Helmholtz Association; Helmholtz Center for Environmental Research (UFZ)
RP Krellenberg, K (corresponding author), UFZ Helmholtz Ctr Environm Res, Dept Urban & Environm Sociol, Permoser Str 15, D-04318 Leipzig, Germany.
EM kerstin.krellenberg@ufz.de
RI Kabisch, Sigrun/ABF-1749-2021; Krellenberg, Kerstin/B-7722-2017; Koch,
   Florian/F-2504-2015
OI Kabisch, Sigrun/0000-0003-3460-0795; Krellenberg,
   Kerstin/0000-0003-4645-5775; Koch, Florian/0000-0002-0343-0730
CR Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Angelidou M, 2015, CITIES, V47, P95, DOI 10.1016/j.cities.2015.05.004
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   [Anonymous], 2015, RENEW SUST ENERG REV, DOI DOI 10.1016/J.RSER.2014.12.018
   [Anonymous], 2011, CHOICE REV ONLINE, DOI DOI 10.5860/CHOICE.49-0882
   [Anonymous], SUSTAINABILITY
   [Anonymous], 2011, Cities and Climate Change. Global Report on Human Settlement 2011
   Bolton R, 2015, TECHNOL FORECAST SOC, V90, P538, DOI 10.1016/j.techfore.2014.02.017
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Broto VC, 2015, ENVIRON PLANN A, V47, P571, DOI 10.1068/a140070p
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chelleri L, 2015, HABITAT INT, V48, P122, DOI 10.1016/j.habitatint.2015.03.016
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Childers DL, 2014, LANDSCAPE URBAN PLAN, V125, P320, DOI 10.1016/j.landurbplan.2014.01.022
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Jiménez AC, 2014, ENVIRON PLANN D, V32, P342, DOI 10.1068/d13077p
   Coyle S., 2011, SUSTAINABLE RESILIEN
   Cugurullo F, 2016, URBAN STUD, V53, P2417, DOI 10.1177/0042098015588727
   de Flander K, 2014, GAIA, V23, P284, DOI 10.14512/gaia.23.3.19
   Fonseca JA, 2015, APPL ENERG, V142, P247, DOI 10.1016/j.apenergy.2014.12.068
   Geels FW, 2016, NAT CLIM CHANGE, V6, P576, DOI 10.1038/NCLIMATE2980
   Grossmann K, 2014, GAIA, V23, P309, DOI 10.14512/gaia.23.4.5
   Haldrup K, 2014, SUSTAINABILITY-BASEL, V6, P9057, DOI 10.3390/su6129057
   Herrick C, 2016, ENVIRON URBAN, V28, P139, DOI 10.1177/0956247815618584
   Hetz K, 2016, REG ENVIRON CHANGE, V16, P1171, DOI 10.1007/s10113-015-0840-z
   Hetz K, 2014, WATER INT, V39, P884, DOI 10.1080/02508060.2014.962679
   Hodson M, 2012, EUR PLAN STUD, V20, P421, DOI 10.1080/09654313.2012.651804
   Jabareen Y, 2015, LECT N ENERG, V29, P137, DOI 10.1007/978-94-017-9768-9_7
   Keyson D.V., 2017, Living Labs Design and Assessment of Sustainable Living, V1st, DOI DOI 10.15017/1906117
   KIM D, 2016, SUSTAINABILITY BASEL, V8
   Koch F, 2016, IMAGE-SER, V65, P1, DOI 10.14361/9783839426173
   Krellenberg K, 2014, INTERDISCIPL SCI REV, V39, P360, DOI 10.1179/0308018814Z.00000000097
   Lefebvre H., 1968, Anthropos
   Lo K, 2014, RENEW SUST ENERG REV, V29, P508, DOI 10.1016/j.rser.2013.09.006
   Mahzouni A, 2015, ENVIRON POLICY GOV, V25, P288, DOI 10.1002/eet.1688
   McCormick K, 2016, J CLEAN PROD, V123, P1, DOI 10.1016/j.jclepro.2016.01.038
   McCormick K, 2013, J CLEAN PROD, V50, P1, DOI 10.1016/j.jclepro.2013.01.003
   McDonnell MJ, 2016, SCIENCE, V352, P936, DOI 10.1126/science.aaf3630
   McPhearson T, 2016, BIOSCIENCE, V66, P198, DOI 10.1093/biosci/biw002
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Moloney S, 2015, SUSTAINABILITY-BASEL, V7, P2437, DOI 10.3390/su7032437
   Nevens F, 2014, SUSTAIN CITIES SOC, V10, P112, DOI 10.1016/j.scs.2013.06.001
   North P, 2013, URBAN STUD, V50, P1423, DOI 10.1177/0042098013480966
   Otto-Zimmermann K, 2012, RESILIENT CITIES
   Parnell S, 2016, WORLD DEV, V78, P529, DOI 10.1016/j.worlddev.2015.10.028
   Qin H, 2015, URBAN CLIM, V14, P94, DOI 10.1016/j.uclim.2015.05.003
   Ramaswami A, 2016, SCIENCE, V352, P940, DOI 10.1126/science.aaf7160
   Reckien D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135597
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Romero-Lankao P, 2014, HABITAT INT, V42, P224, DOI 10.1016/j.habitatint.2013.12.008
   Schneidewind U, 2015, GAIA, V24, P88, DOI 10.14512/gaia.24.2.5
   Seeliger L., 2015, Urban Forum, V26, P321, DOI DOI 10.1007/S12132-015-9254-8
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Seto KC, 2016, SCIENCE, V352, P943, DOI 10.1126/science.aaf7439
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Solecki W, 2013, ENVIRONMENT, V55, P12, DOI 10.1080/00139157.2013.748387
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Späth P, 2011, ROUTL STUD HUM GEOGR, V35, P88
   Tukiainen T, 2015, TECHNOL INNOV MANAG, P16
   UN Habitat, 2016, Zero Draft of the New Urban Agenda
   Vandevyvere H, 2015, SUSTAINABILITY-BASEL, V7, P2415, DOI 10.3390/su7032415
   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
   Wamsler C, 2014, ENVIRON URBAN, V26, P86, DOI 10.1177/0956247813516061
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   WBGU, 2016, HUM MOV UNL TRANSF P
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
NR 68
TC 20
Z9 24
U1 1
U2 42
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 51
EP 56
DI 10.1016/j.cosust.2017.04.001
PG 6
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:000416098300008
DA 2025-04-22
ER

PT J
AU Pilav, A
AF Pilav, Armina
TI Before the War, War, After the War: Urban Imageries for Urban Resilience
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
LA English
DT Article
DE patterns of urban resilience; Sarajevo; urban conditions; urban
   imageries; war
AB This article discusses urban conditions in cities that in their recent history experienced war. It puts the social component of the city into relationship with the destroyed and dangerous urban environment. In the period between 1992 and 1996 in Sarajevo and in other Bosnian cities, survival became the most important activity for citizens. In the period directly preceding the war, urban conditions-mobility, infrastructure, and services-started to malfunction. As a result, ordinary city life became an object of new urban imageries influenced by new urban conditions and rules of behavior. The first bombing of the city on 6 April 1992 was a sign that the war had started. It brought with it war urban conditions: lack of public transport, electricity, water, and food. The inability of the city and the people living in it to function normally demanded new patterns of urban resilience, which were partly a product of the city's prewar conditions. Using Sarajevo as a case study, this article examines whether the city had predisaster coping strategies and, if so, the extent to which these plans were used during the war. Finally, the article observes how citizens, with their own imageries about cities, can participate in the creation of patterns of urban resilience and future predisaster strategies.
C1 Univ IUAV Venice, Sch Doctorate Studies, I-30125 Venice, Italy.
C3 IUAV University Venice
RP Pilav, A (corresponding author), Univ IUAV Venice, Sch Doctorate Studies, I-30125 Venice, Italy.
EM arminapilav@gmail.com
CR Alexander C., 1997, PATTERN LANGUAGE
   [Anonymous], SARAJEVSKI MEMENTO
   Bokan R., 1971, PROGRAM CONSTRUCTION
   Bollens Scott A., 2001, City, V5, P169
   Cengic N., 2003, SARAJEVO, pxiv
   Coaffee J, 2008, NEW SECUR CHALL, P1, DOI 10.1057/9780230583337
   Dizdarevic Raif, 2000, DEATH TITO DEATH YUG
   Institute for Planning of Development of the Sarajevo Canton, 2006, SPAT PLAN CANT SAR P
   Lawson RJ, 2008, NATO SCI PEACE SECUR, P169, DOI 10.1007/978-1-4020-8551-2_9
   Matvejevic P., 1995, SARAJEVO
   Mazzucchelli F., 2010, URBICIDE SENSE PLACE
   Mumford Lewis., 1997, CULTURE CITIES
   Muschamp H., 1995, NY TIMES
   SETimes.com, 2005, SETIMES
   Simone A.M., 2004, CITY YET COME
   Sontag S., 1997, SARAJEVOS MEMENTO, P13
   Straus I., 1995, ARCHITECT BARBARIANS
   UNISDR (United Nations International Strategy for Disaster Reduction), 2007, TREM DRR
   United Nations Commission of Experts, 1994, STUD BATTL SIEG SAR
   Vasquez J., 2009, WAR PUZZLE REVISITED
   Vigano P., 1999, ELEMENTARY CITY CITT
   Wagner Aleksandra., 1997, RADICAL RECONSTRUCTI, P9
   Woods Lebbeus., 1997, RADICAL RECONSTRUCTI, V1st
NR 23
TC 14
Z9 14
U1 1
U2 17
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 2012
VL 3
IS 1
SI SI
BP 23
EP 37
DI 10.1007/s13753-012-0004-4
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 V38US
UT WOS:000209368900004
OA gold
DA 2025-04-22
ER

PT J
AU Mitchell, D
   Barth, B
   Ho, S
   Sait, MS
   McEvoy, D
AF Mitchell, David
   Barth, Bernhard
   Ho, Serene
   Sait, M. Siraj
   McEvoy, Darryn
TI The Benefits of Fit-for-Purpose Land Administration for Urban Community
   Resilience in a Time of Climate Change and COVID-19 Pandemic
SO LAND
LA English
DT Article
DE fit-for-purpose land administration; rapid urbanization; climate change;
   pandemic; urban resilience
ID SETTLEMENTS; STRATEGIES; LANDSCAPES
AB The major global pressures of rapid urbanization and urban growth are being compounded by climate impacts, resulting in increased vulnerability for urban dwellers, with these vulnerabilities exacerbated during the COVID-19 pandemic. Much of this is concentrated in urban and peri-urban areas where urban development spreads into hazard-prone areas. Often, this development is dominated by poor-quality homes in informal settlements or slums with poor tenure security. Lessons from a resilience-building project in the Pacific shows that a fit-for-purpose (FFP) approach to land administration can provide solutions by increasing the number of households with security of tenure, and consequently, improving resilience outcomes as informal settlements grow. This paper specifically discusses the influence of FFP land administration on reducing vulnerabilities to external shocks, such as climate change and COVID-19. It proposes ways to be better manage urban growth through the responsible governance of land tenure rights and more effective land-use planning to improve resilience to multiple shocks and stresses, hence, delivering improved access to safe land and shelter. Land administration systems can contribute to enhanced resilience to the shocks of climate extremes and pandemics by improving tenure security and enhancing land-use planning controls. It is argued that climate change adaptation and disaster risk reduction need to be better mainstreamed into two major elements of land governance: (i) securing and safeguarding of land rights, and (ii) planning and control of land use.
C1 [Mitchell, David; Ho, Serene] RMIT Univ, Sch Sci, Geospatial Sci, Melbourne, Vic 3000, Australia.
   [Barth, Bernhard] Reg Off Asia & Pacific, UH Habitat, Fukuoka 8100001, Japan.
   [Sait, M. Siraj] Univ East London, Noon Ctr Equal & Divers, London E16 2RD, England.
   [McEvoy, Darryn] RMIT Univ, Sch Engn, Melbourne, Vic 3000, Australia.
C3 Royal Melbourne Institute of Technology (RMIT); University of East
   London; Royal Melbourne Institute of Technology (RMIT)
RP Mitchell, D (corresponding author), RMIT Univ, Sch Sci, Geospatial Sci, Melbourne, Vic 3000, Australia.
EM david.mitchell@rmit.edu.au; bernhard.barth@un.org;
   serene.ho2@rmit.edu.au; s.sait@uel.ac.uk; darryn.mcevoy@rmit.edu.au
RI Mitchell, David/N-4148-2016; McEvoy, Darryn/K-8015-2017
OI Mitchell, David/0000-0002-8782-6440; McEvoy, Darryn/0000-0003-4144-4137;
   Ho, Serene/0000-0002-0652-6279
FU UNFCCC Adaptation Fund; School of Land Administration Studies,
   University of Twente; Kadaster International. the Netherlands
FX The Climate Resilient Honiara is funded by the UNFCCC Adaptation Fund
   and administered by UN-Habitat. Funding of the publication costs for
   this article has kindly been provided by the School of Land
   Administration Studies, University of Twente, in combination with
   Kadaster International. the Netherlands.
CR Acuto M, 2020, ONE EARTH, V2, P317, DOI 10.1016/j.oneear.2020.04.004
   ADB, 2014, PAC EC MON JUL 2014
   Andrew NL, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223249
   [Anonymous], 2021, LANCET PLANET HEALTH, V5, pE1, DOI 10.1016/S2542-5196(20)30305-3
   APAN, 2013, APAN REP AD CHALL PA
   Chigbu UE, 2021, TOWN PLAN REV, V92, P115, DOI 10.3828/tpr.2020.74
   Chin A, 2020, ANTHROPOCENE, V30, DOI 10.1016/j.ancene.2020.100247
   Cooper DH, 2022, INT J SOCIOL SOC POL, V42, P332, DOI 10.1108/IJSSP-07-2020-0360
   Corburn J, 2020, J URBAN HEALTH, V97, P348, DOI 10.1007/s11524-020-00438-6
   Di Marco M, 2020, P NATL ACAD SCI USA, V117, P3888, DOI 10.1073/pnas.2001655117
   Dodman David., 2013, Human Settlements Discussion Paper Series Climate Change and Cities, V4
   El Hamichi S, 2020, GRAEF ARCH CLIN EXP, V258, P2597, DOI 10.1007/s00417-020-04947-7
   Enemark S., 2016, Fit-For-Purpose land administration guiding principles for country implementation. pdf
   FAO, 2022, Voluntary Guidelines on the Responsible Governance of Tenure of Land, Fisheries and Forests in the Context of National Food Security, DOI 10.4060/i2801
   Farha L., 2021, HOUSING FRONT LINE D
   Firth S., 2018, Instability in the Pacific Islands: A Status Report
   Foukona J, 2015, J PAC HIST, V50, P504, DOI 10.1080/00223344.2015.1110328
   Huchzermeyer Marie., 2006, Informal Settlements: A Perpetual Challenge?, P1
   International Institute for Rural Reconstruction (IIRR), 2012, HANDL LAND INN TOOLS
   Jones P, 2012, URBAN POLICY RES, V30, P145, DOI 10.1080/08111146.2012.664930
   Kiddle GL, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101878
   Lengoiboni M, 2021, LAND-BASEL, V10, DOI 10.3390/land10040414
   McEvoy D., 2020, URBANISATION RISK PA, P53
   McEvoy D, 2020, CLIM DEV, V12, P1, DOI 10.1080/17565529.2019.1594666
   Mitchell D, 2015, LAND USE POLICY, V48, P190, DOI 10.1016/j.landusepol.2015.05.026
   Mitchell DP, 2019, Land tenure and climate vulnerability
   Moraci F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187743
   Murray KA, 2013, CURR OPIN VIROL, V3, P79, DOI 10.1016/j.coviro.2013.01.006
   National Statistics Office, 2020, PROV COUNT 2019 NAT
   Nicola M, 2020, INT J SURG, V78, P185, DOI 10.1016/j.ijsu.2020.04.018
   Oliver-Smith A., 2014, FORCED MIGRATION REV, V45
   PACCSAP, 2014, CLIM VAR EXTR CHANG
   Patz JA, 2004, ENVIRON HEALTH PERSP, V112, P1092, DOI 10.1289/ehp.6877
   Penrose K, 2010, PLOS NEGLECT TROP D, V4, DOI 10.1371/journal.pntd.0000631
   Plowright RK, 2021, LANCET PLANET HEALTH, V5, pE237, DOI 10.1016/S2542-5196(21)00031-0
   Sait M.S., 2021, SHOULD MONROVIAN COM, P339
   Terraube J, 2020, CURR OPIN ENV SUST, V46, P35, DOI 10.1016/j.cosust.2020.08.014
   Trundle A., 2017, Honiara Urban Resilience And Climate Action Plan
   UN Habitat, 2021, CIT PAND MOR JUST GR
   UN-Habitat, 2020, RAP ASS COV 19 INF S
   UN-Habitat, 2020, Climate Change Vulnerability and Risk-A Guide for Community Assessments, Action Planning and Implementation
   Unger E., 2019, P 2019 WORLD BANK C
   Unger EM, 2017, SURV REV, V49, P437, DOI 10.1080/00396265.2016.1212160
   USAID, 2020, IMP COVID 19 WOMENS
   Wilkinson A, 2020, ENVIRON URBAN, V32, P503, DOI 10.1177/0956247820922843
   Wilson C., 2020, Demanding the future: navigating the Pacifics youth bulge
   Yohe GW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P811
NR 47
TC 19
Z9 19
U1 6
U2 49
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUN
PY 2021
VL 10
IS 6
AR 563
DI 10.3390/land10060563
PG 19
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SY6NP
UT WOS:000666002600001
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Zare, N
   Macioszek, E
   Granà, A
   Giuffrè, T
AF Zare, Nazanin
   Macioszek, Elzbieta
   Grana, Anna
   Giuffre, Tullio
TI Blending Efficiency and Resilience in the Performance Assessment of
   Urban Intersections: A Novel Heuristic Informed by Literature Review
SO SUSTAINABILITY
LA English
DT Article
DE road geometric design; resilient road; urban mobility; road traffic
   assessment; roundabout; traffic signal; performance efficiency
ID BIG DATA; INFRASTRUCTURE; IMPACT
AB Urban mobility underscores the vital importance of ensuring traffic efficiency on road segments, intersections, and transportation networks, especially in challenging circumstances. In this perspective, the essential approach to improving urban intersection efficiency should involve understanding critical factors for maintaining operational performance in the face of disruptions such as storms. This paper, inspired by a systematic literature review, presents a novel heuristic for evaluating urban intersection efficiency, with resilience as its guiding principle. The methodological path was designed to address the fundamental question: How can urban intersections be designed and managed to ensure efficiency and resilience in the face of disruptions? Drawing inspiration from the Highway Capacity Manual procedure, the methodological approach encompasses both pre-storm and post-storm scenarios, comparing delay times at roundabouts and signalized intersections before and after a storm. The results reveal significant changes in delay times for traffic signals, although the choice between roundabouts and signalized intersections should be context-specific, considering factors like traffic conditions, resilience requirements, and associated trade-offs. By shedding light on the interplay between intersection design, control strategies, and urban resilience, this research provides valuable insights into integrating resilience considerations into intersection performance assessment and management strategies. It also underscores how particular intersection designs can impact efficiency and recovery, essential considerations when assessing whether a road or intersection project is resilient.
C1 [Zare, Nazanin; Grana, Anna] Univ Palermo, Dept Engn, Viale Sci Ed 8, I-90128 Palermo, Italy.
   [Macioszek, Elzbieta] Silesian Tech Univ, Fac Transport & Aviat Engn, Dept Transport Syst Traff Engn & Logist, Krasinskiego 8 St, PL-40019 Katowice, Poland.
   [Giuffre, Tullio] Univ Enna Kore, Dept Engn & Architecture, Piazza Univ 1, I-94100 Enna, Italy.
C3 University of Palermo; Silesian University of Technology; Universita
   Kore di ENNA
RP Zare, N (corresponding author), Univ Palermo, Dept Engn, Viale Sci Ed 8, I-90128 Palermo, Italy.; Macioszek, E (corresponding author), Silesian Tech Univ, Fac Transport & Aviat Engn, Dept Transport Syst Traff Engn & Logist, Krasinskiego 8 St, PL-40019 Katowice, Poland.
EM nazanin.zare@unipa.it; elzbieta.macioszek@polsl.pl; anna.grana@unipa.it;
   tullio.giuffre@unikore.it
RI Macioszek, Elzbieta/AAH-5949-2020; Grana, Anna/R-1468-2016; Giuffre',
   Tullio/R-2004-2016
OI Macioszek, Elzbieta/0000-0002-1345-0022; Grana,
   Anna/0000-0001-6976-0807; Giuffre', Tullio/0000-0002-8880-5932
FU Sustainable Mobility Center (Centro Nazionale per la Mobilita
   Sostenibile-CNMS) [CN00000023 CUP B73C22000760001]; Rector's Pro-Quality
   Grant, Silesian University of Technology, Poland [12/040/RGJ24/0064];
   Silesian University of Technology [BK-285/RT4/2024, 12/040/BK_24/0065]
FX Sustainable Mobility Center (Centro Nazionale per la Mobilita
   Sostenibile-CNMS) under Grant CN00000023 CUP B73C22000760001. This
   publication is supported by the Rector's Pro-Quality Grant, Silesian
   University of Technology, Poland, grant number 12/040/RGJ24/0064, and
   Silesian University of Technology grant number BK-285/RT4/2024,
   12/040/BK_24/0065.
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]
   Alexiadis V., 2004, Report No. FHWA-HRT-04-038
   Allen RS, 2011, RESILIENCE IN AGING: CONCEPTS, RESEARCH, AND OUTCOMES, P1, DOI 10.1007/978-1-4419-0232-0_1
   Ametepey SO, 2022, SUSTAIN RESIL INFRAS, V7, P239, DOI 10.1080/23789689.2020.1777926
   Andronov Roman, 2018, MATEC Web of Conferences, V143, DOI 10.1051/matecconf/201814304008
   [Anonymous], 2016, HIGHWAY CAPACITY MAN
   Arimah B, 2017, PROCEDIA ENGINEER, V198, P245, DOI 10.1016/j.proeng.2017.07.159
   Assarkhaniki Z, 2023, SUSTAIN SCI, V18, P2405, DOI 10.1007/s11625-023-01372-7
   Barceló J, 2010, INT SER OPER RES MAN, V145, P1, DOI 10.1007/978-1-4419-6142-6_1
   Bengigi E., 2020, Master's Thesis.
   Berrang-Ford L, 2015, REG ENVIRON CHANGE, V15, P755, DOI 10.1007/s10113-014-0708-7
   Bianchini D, 2022, LECT NOTES COMPUT SC, V13591, P19, DOI 10.1007/978-3-031-17834-4_2
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Cheek W, 2022, INT J DISAST RISK SC, V13, P317, DOI 10.1007/s13753-022-00410-9
   Chen L, 2022, CITIES, V127, DOI 10.1016/j.cities.2022.103734
   Chen S, 2016, IEEE INTEL TRANSP SY, V8, P4, DOI 10.1109/MITS.2016.2605318
   Chiroli DMD, 2023, INT J DISAST RISK RE, V96, DOI 10.1016/j.ijdrr.2023.103960
   Cordero D, 2022, IEEE ACCESS, V10, P81071, DOI 10.1109/ACCESS.2022.3195894
   D'Apuzzo M, 2021, LECT NOTES COMPUT SC, V12954, P21, DOI 10.1007/978-3-030-86979-3_2
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   Dia H, 2017, IET TRANSP SER, V6, P13, DOI 10.1049/PBTR006E_ch2
   Dianat H, 2022, INT J DISAST RISK RE, V71, DOI 10.1016/j.ijdrr.2022.102789
   Docherty I., 2020, Handbook of Sustainable Transport, P209
   Emanuel M, 2019, URBAN HIST, V46, P493, DOI 10.1017/S0963926818000573
   Espinet X, 2016, TRANSPORT POLICY, V50, P78, DOI 10.1016/j.tranpol.2016.06.003
   Faghihian H, 2023, ELECTRONICS-SWITZ, V12, DOI 10.3390/electronics12194086
   Fan XD, 2023, J INFRASTRUCT PRESER, V4, DOI 10.1186/s43065-023-00072-x
   Georganti A, 2023, LECT N INTELL TRANS, P621, DOI 10.1007/978-3-031-23721-8_51
   Ghaffarpasand O, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142416386
   Giuffre O., 2015, J. Eng. Appl. Sci, V10, P2471
   Giuffre O., 2012, Mod. Appl. Sci, V6, P2, DOI [10.5539/mas.v6n5p2, DOI 10.5539/MAS.V6N5P2]
   Heinzlef C., 2020, Water Security, V11, P100075, DOI [10.1016/j.wasec.2020.100075, DOI 10.1016/J.WASEC.2020.100075]
   Hettiarachchi S, 2022, CITIES, V128, DOI 10.1016/j.cities.2022.103789
   Ilbeigi M, 2020, CONSTRUCTION RESEARCH CONGRESS 2020: INFRASTRUCTURE SYSTEMS AND SUSTAINABILITY, P203
   Italian Minister of Infrastructure and Transport, 2006, Functional and Geometric Standards for Road Intersections
   Jindel J, 2022, TRANSPORT RES REC, V2676, P424, DOI 10.1177/03611981221074644
   Juremalani J, 2018, URBANIZATION CHALLENGES IN EMERGING ECONOMIES: ENERGY AND WATER INFRASTRUCTURE; TRANSPORTATION INFRASTRUCTURE; AND PLANNING AND FINANCING, P688
   Kirova N., 2020, ACADIA 2020: Distributed Proximities/Volume I: Technical Papers-Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA), Online, 24-30 October 2020, V1, P84, DOI [10.52842/conf.acadia.2020.1.084, DOI 10.52842/CONF.ACADIA.2020.1.084]
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Lv YS, 2023, IEEE INTEL TRANSP SY, V15, P166, DOI 10.1109/MITS.2023.3273827
   Macioszek E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041533
   Magalhaes RP, 2021, INFORM SYST, V98, DOI 10.1016/j.is.2019.101444
   Mageto J, 2024, INT J PROD RES, V62, P5556, DOI 10.1080/00207543.2022.2139866
   Martínez DN, 2021, PROG PLANN, V147, DOI 10.1016/j.progress.2019.100450
   Mattinzioli T, 2023, TRANSPORT RES D-TR E, V122, DOI 10.1016/j.trd.2023.103886
   Mauro R, 2010, CALCULATION OF ROUNDABOUTS: CAPACITY, WAITING PHENOMENA AND RELIABILITY, P1, DOI 10.1007/978-3-642-04551-6
   McDaniels Timothy L., 2015, Environment Systems & Decisions, V35, P252, DOI 10.1007/s10669-015-9544-7
   Mondal M., 2022, SN Comput. Sci., V3, P1, DOI [10.1007/s42979-022-01316-5, DOI 10.1007/S42979-022-01316-5]
   Montoya-Rincon JP, 2023, NAT ENERGY, V8, P1002, DOI 10.1038/s41560-023-01315-7
   National Academies of Sciences Engineering and Medicine, 2010, ROUNDABOUTS INFORM G, V2nd ed, DOI [10.17226/22914, DOI 10.17226/22914]
   Nikitas A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094620
   Othman Kareem, 2021, Designs, V5, DOI 10.3390/designs5030040
   Menéndez EP, 2020, DISP, V56, P64, DOI 10.1080/02513625.2020.1906059
   Pratelli A, 2021, PROMET-ZAGREB, V33, P297
   Raven J, 2011, LOCAL SUSTAIN, V1, P451, DOI 10.1007/978-94-007-0785-6_45
   Reyers B, 2022, NAT SUSTAIN, V5, P657, DOI 10.1038/s41893-022-00889-6
   Rhoads D, 2023, COMPUT ENVIRON URBAN, V106, DOI 10.1016/j.compenvurbsys.2023.102031
   Rondon Quintana H.A., 2013, Ingeniare, V21, P139
   Santos T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020647
   Shafiei-Dastjerdi M, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104646
   Sharafeldin M, 2022, ENG BASEL, V3, P412, DOI 10.3390/eng3040030
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Stavdas A, 2024, IET QUANTUM COMMUN, V5, P38, DOI 10.1049/qtc2.12070
   Sun D, 2013, SIMUL MODEL PRACT TH, V37, P18, DOI 10.1016/j.simpat.2013.05.007
   Tang JQ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190616
   Tarasi Dimitra, 2021, Glob Transit, V3, P55, DOI 10.1016/j.glt.2020.12.003
   Tarek S., 2021, Journal of Engineering and Applied Science, V68, DOI [10.1186/s44147-021-00042-8, DOI 10.1186/S44147-021-00042-8]
   Tariverdi M, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-28460-z
   Thakker R, 2021, SPR PROC ADV ROBOT, V19, P161, DOI 10.1007/978-3-030-71151-1_15
   Therrien MC, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102931
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   Tumminello ML, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15129345
   Vargas-Maldonado RC, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13010333
   Yang PPJ, 2015, ENRGY PROCED, V75, P2922, DOI 10.1016/j.egypro.2015.07.592
   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
   Zare N, 2024, LECT NOTE NETW SYST, V877, P27, DOI 10.1007/978-3-031-51449-4_3
   Zhao ZL, 2024, TRAVEL BEHAV SOC, V34, DOI 10.1016/j.tbs.2023.100649
NR 78
TC 1
Z9 1
U1 3
U2 10
PU MDPI
PI BASEL
PA Gross-peteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2024
VL 16
IS 6
AR 2450
DI 10.3390/su16062450
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 MI1W3
UT WOS:001192912400001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Wen, W
   Jiang, KG
   Shao, XJ
AF Wen, Wei
   Jiang, Kangan
   Shao, Xiaojing
TI The Impact of Big Data Pilot Zones on Urban Ecological Resilience:
   Evidence from a Machine Learning Approach
SO SUSTAINABILITY
LA English
DT Article
DE construction of national big data comprehensive pilot zones; urban
   ecological resilience; digital economy; machine learning; sustainable
   development
AB Against the backdrop of the structural transition in China's economic landscape, the implementation of digital economy policies-particularly through the Broadband China Demonstration Cities initiatives-has significantly enhanced urban ecological resilience. Based on panel data from 280 prefecture-level cities in China over the period 2013-2022, this study employs the national big data comprehensive pilot zone as a quasi-natural experiment and utilizes the dual machine learning method to examine how pilot zone construction influences urban ecological resilience. This analysis provides theoretical support for fostering green urban development. The results are summarized as follows. (1) The construction of national big data comprehensive pilot zones significantly enhances urban ecological resilience. The conclusion is robust to various tests, including the removal of outliers, changes in sample splitting ratios, and alterations in machine learning algorithms. (2) The construction of national big data comprehensive pilot zones indirectly improves urban ecological resilience through pathways of green innovation and energy efficiency. (3) This study assesses the heterogeneity of policy effects based on the generalized random forest (GRF) model to identify the sources of heterogeneity in policy effects, and conducts a comprehensive heterogeneity analysis from the three dimensions of resource endowments, geographical location characteristics, and the attributes of environmental protection zones. These findings enrich the analysis of the consequences of national big data comprehensive pilot zone policies and offer a theoretical basis and policy reference for how constructing big data pilot zones can better serve urban ecological development.
C1 [Wen, Wei; Jiang, Kangan; Shao, Xiaojing] Northeast Agr Univ, Sch Econ & Management, Harbin 150030, Peoples R China.
C3 Northeast Agricultural University - China
RP Wen, W (corresponding author), Northeast Agr Univ, Sch Econ & Management, Harbin 150030, Peoples R China.
EM wenwei2021@neau.edu.cn; ghdxjq@yeah.net; shaoxiaojing@neau.edu.cn
FU Heilongjiang Province Philosophy and Social Science General Project:
   Research on the Impact Mechanism of the Development of Green Finance on
   Agricultural Carbon Emission Efficiency in Heilongjiang Province
   [24JLB003]; Special topic project of Heilongjiang Provincial Social
   Science Research Planning, entitled Research on the Realization Path of
   Green and High-quality Development of Agricultural Enterprises in
   Heilongjiang Province Based on Dynamic Capability Theory [24GLH004]
FX This paper is supported by Heilongjiang Province Philosophy and Social
   Science General Project: Research on the Impact Mechanism of the
   Development of Green Finance on Agricultural Carbon Emission Efficiency
   in Heilongjiang Province (24JLB003) and the special topic project of
   Heilongjiang Provincial Social Science Research Planning, entitled
   Research on the Realization Path of Green and High-quality Development
   of Agricultural Enterprises in Heilongjiang Province Based on Dynamic
   Capability Theory (24GLH004).
CR Bedane GA, 2023, ECOL PROCESS, V12, DOI 10.1186/s13717-023-00424-1
   Chernozhukov V, 2018, ECONOMET J, V21, pC1, DOI 10.1111/ectj.12097
   Dai JP, 2025, ENERGY, V318, DOI 10.1016/j.energy.2025.134768
   Du KR, 2019, TECHNOL FORECAST SOC, V146, P297, DOI 10.1016/j.techfore.2019.06.010
   Du Plessis C., 2012, Smart Sustain. Built Environ, V4, P495
   Gao HY, 2024, ENERG ENVIRON-UK, DOI 10.1177/0958305X241241027
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jamal S, 2025, GEOJOURNAL, V90, DOI 10.1007/s10708-024-11270-9
   Jia WX, 2025, RENEW ENERG, V238, DOI 10.1016/j.renene.2024.121878
   Li GZ, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110667
   Liu SH, 2025, SUSTAINABILITY-BASEL, V17, DOI 10.3390/su17010097
   Liu YL, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16198313
   Ning WP, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-05510-8
   Shamsipour A, 2024, SUSTAIN CITIES SOC, V103, DOI 10.1016/j.scs.2024.105252
   Shen XB, 2024, J ENVIRON MANAGE, V368, DOI 10.1016/j.jenvman.2024.122125
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Tang JM, 2025, ENERG ECON, V141, DOI 10.1016/j.eneco.2024.108043
   Tian Y, 2025, ENERGY, V319, DOI 10.1016/j.energy.2025.134993
   Wang HZ, 2024, INT REV FINANC ANAL, V96, DOI 10.1016/j.irfa.2024.103732
   Wang LQ, 2024, ENVIRON SCI POLLUT R, V31, P11559, DOI 10.1007/s11356-024-31847-8
   Wang W, 2023, TELECOMMUN POLICY, V47, DOI 10.1016/j.telpol.2023.102617
   Wu Jianguo., 2013, Resilience in Ecology and Urban Design, DOI 10.1007/978-94-007-5341-910
   Wu JL, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16093671
   Wu YC, 2024, J ENVIRON MANAGE, V368, DOI 10.1016/j.jenvman.2024.122178
   Xu AT, 2023, J BUS RES, V159, DOI 10.1016/j.jbusres.2023.113724
   Xu C, 2024, J CLEAN PROD, V452, DOI 10.1016/j.jclepro.2024.142233
   Yang SY, 2022, LAND-BASEL, V11, DOI 10.3390/land11010059
   Yang ZH, 2024, APPL GEOGR, V173, DOI 10.1016/j.apgeog.2024.103459
   Yuan Y, 2022, ECOL ENG, V175, DOI 10.1016/j.ecoleng.2021.106486
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhang XF, 2024, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-024-32606-5
   Zhang YR, 2023, ECON ANAL POLICY, V79, P986, DOI 10.1016/j.eap.2023.07.007
   Zhang YZ, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16093611
NR 33
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 MAR 23
PY 2025
VL 17
IS 7
AR 2846
DI 10.3390/su17072846
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 1IK1K
UT WOS:001465758700001
OA gold
DA 2025-04-22
ER

PT J
AU Sommella, R
   D'Alessandro, L
AF Sommella, Rosario
   D'Alessandro, Libera
TI Retail Policies and Urban Change in Naples City Center: Challenges to
   Resilience and Sustainability from a Mediterranean City
SO SUSTAINABILITY
LA English
DT Article
DE urban retail governance; mediterranean city; spatial vulnerability;
   retail resilience; urban sustainability
ID GEOGRAPHIES
AB Political discourses, public discussions, and studies in different fields have increasingly focused on the vulnerabilities affecting cities and on the possible responses to them, which are often traced back to urban resilience and sustainability. Research and debates in the field of retailing and consumption geographies are no exception. To carry out a critical analysis on the retail policies associated with the urban commercial change of the Naples city center, the case study is placed in the context of the literature review focusing on three concepts: spatial vulnerability, adaptive resilience, and territorialized sustainability. The analysis is conducted combining data, policy, and planning documents with long-term field research. The changing relationship between consumption practices, retail dynamics, and policies highlights a sort of hybridization of commercial and consumption central cityscapes, which is produced by the coexistence between retail-led phenomena of regeneration and forms of local resistance. The results of the research highlight, from a Mediterranean perspective, new general insights on the impact of selective forms of vulnerability and on the adaptive resilience strategies adopted, but most of all on the indispensable rethinking of the urban retail governance for the enhancement of urban livability, social cohesion, and locally sustainable lifestyles, activities, and places.
C1 [Sommella, Rosario; D'Alessandro, Libera] Univ Napoli L Orientale, Dept Human & Social Sci, Largo San Giovanni Maggiore 30, I-80134 Naples, Italy.
C3 University of Naples L'Orientale
RP Sommella, R (corresponding author), Univ Napoli L Orientale, Dept Human & Social Sci, Largo San Giovanni Maggiore 30, I-80134 Naples, Italy.
EM rsommella@unior.it; ldalessandro@unior.it
OI SOMMELLA, Rosario/0000-0002-4047-8864
FU Research Project of Significant National Interest (Italian acronym
   PRIN), announcement 2015, entitled Retail, Consumption, and Cities:
   Practices, Planning and Governance for Urban Inclusion, Resilience, and
   Sustainability. (Dipartimento di Scienze Umane e
FX This work was supported by Research Project of Significant National
   Interest (Italian acronym PRIN), announcement 2015, entitled Retail,
   Consumption, and Cities: Practices, Planning and Governance for Urban
   Inclusion, Resilience, and Sustainability. (Dipartimento di Scienze
   Umane e Sociali, Universita di Napoli "L'Orientale).
CR ALTRI ALBOLINO O. E, 2019, Commercio e consumo nelle citta che cambiano. Napoli, citta medie, spazi esterni, P149
   Amendola G., 2010, Tra dedalo ed Icaro. La nuova domanda di citta
   [Anonymous], 1963, 85 U CHIC DEP GEOGR
   [Anonymous], 2012, ENCOUNTERS ENGAGEMEN
   Associazione Studi e Ricerche per il Mezzogiorno (Study and Research Association for Southern Italy), 2007, NUOV DISTR COMM MEZZ
   Barata-Salgueiro T., 2011, RETAIL PLANNING RESI, P30
   Barata-Salgueiro T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229433
   Barata-Salgueiro T, 2014, CITIES, V36, P107, DOI 10.1016/j.cities.2013.01.007
   Blomley N., 1996, RETAILING CONSUMPTIO, P256
   Bridge G, 2001, AUST GEOGR, V32, P93, DOI 10.1080/00049180020036259
   BROMLEY RDF, 1993, T I BRIT GEOGR, V18, P222, DOI 10.2307/622364
   Brunetta G, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11082331
   Cachinho H., 2015, CITY RETAIL CONSUMPT, P35
   Cachinho H, 2016, FINISTERRA, V51, P89, DOI 10.18055/Finis4134
   Cachinho H, 2014, CITIES, V36, P131, DOI 10.1016/j.cities.2012.10.005
   Carraher CE, 2017, INTRODUCTION TO POLYMER CHEMISTRY, 4TH EDITION, P27
   Coe N., 2018, The New Oxford Handbook of Economic Geography, P427
   Cometa M., 2017, PICTORIAL TURN SAGGI, P9
   Comune di Napoli Assessorato alla vivibilita Servizio di pianificazione urbanistica, 1999, VAR PIAN REG GEN CTR
   Comune di Napoli (Municipality of Naples), 2011, PIAN GESTSIT UNESCO
   Comune di Napoli (Municipality of Naples), 2012, GRAND PROG CTR STOR
   Comune di Napoli (Municipality of Naples), 2017, STRUTT DEM POP RES C
   Comune di Napoli (Municipality of Naples), 2011, MAP BOUND HIST CTR N
   Comune di Napoli (Municipality of Naples), 2014, RAPP URB COM NAP 201
   Comune di Napoli (Municipality of Naples), 2004, REL VAR PIAN REG GEN
   Coppola P., 1997, FORMA DESIDERI SAGGI, P235
   Cozzi T., LOCKDOWN FATALE REPU
   Crewe L, 2003, PROG HUM GEOG, V27, P352, DOI 10.1191/0309132503ph431pr
   Crewe L, 2000, PROG HUM GEOG, V24, P275, DOI 10.1191/030913200670386318
   D'Alessandro L, 2015, ALMATOURISM, V6, P180
   D'Alessandro L., 2009, GEOTEMA, V38, P58
   D'Alessandro L., 2018, ATMOSPHERE ATMOSPHER, P31
   D'Alessandro L., 2018, BOLLETT SOC GEOGR IT, V14, P163, DOI [10.13128/bsgi.v1i2.533, DOI 10.13128/BSGI.V1I2.533]
   D'Alessandro L., 2018, CIVILTA MEDITERRANEO, V29, P185
   D'Alessandro L., 2009, DENTRO LUOGHI RIFLES, P60
   D'Alessandro L., 2011, RETAIL PLANNING RESI, P299
   D'Alessandro L., 2019, COMMERCIO CONSUMO NE, P73
   D'Alessandro L., 2009, CUESTION CTR CTR CUE, P105
   DAlessandro L., 2008, ATTIVITA COMMERCIALI
   Dawson J.A., 2013, Retail geography
   Della Lucia M, 2018, CITIES, V82, P35, DOI 10.1016/j.cities.2018.05.003
   Dolega L., 2015, Studia Regionalne i Lokalne - Polish Section of the Regional Studies Association, V2, P8, DOI [DOI 10.7366/1509499526001, 10.7366/1509499526001]
   Erkip F, 2013, EUR URBAN REG STUD, V20, P329, DOI 10.1177/0969776411434846
   Fernandes JR, 2014, CITIES, V36, P170, DOI 10.1016/j.cities.2012.11.006
   Findlay A, 2012, SCOT GEOGR J, V128, P24, DOI 10.1080/14702541.2012.677058
   Groncow Jukka., 2001, Ordinary Consumption
   Jayne Mark., 2006, Cities and Consumption
   Laino G., 2017, AGENDE URBANE CITT I, P143
   Lane R, 2020, GEOGR RES-AUST, V58, P207, DOI 10.1111/1745-5871.12410
   Leontidou L., 2003, P C LECT S INV CIT S
   Leontidou L., 2007, Urban sprawl in Europe: Landscapes, land-use change and policy, P71, DOI DOI 10.1002/9780470692066.CH3
   Leontidou L., 2009, Quarterly of International Sociology, V18, P131
   Leontidou L., 1995, European Planning Studies, V3, P155, DOI [https://doi.org/10.1080/09654319508720298, DOI 10.1080/09654319508720298]
   Leontidou Lila., 1990, MEDITERRANEAN CITY T
   Mansvelt J., 2017, INT ENCY GEOGRAPHY P, DOI [10.1002/9781118786352.wbieg0234, DOI 10.1002/9781118786352.WBIEG0234]
   Martinez-Rigol S., 2019, LAPPORTO GEOGRAFIA T, P2365
   Ministero dello Sviluppo Economico (Ministry of Economic Development), 2010, RAPP SIST DISTR ANN
   Ministero dello Sviluppo Economico (Ministry of Economic Development), 2019, RAPP SIST DISTR ANN
   Moraci F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030755
   Moreno C, 2021, SMART CITIES-BASEL, V4, P93, DOI 10.3390/smartcities4010006
   Morgado J.C., 2020, AVALIACAO I INSPECAO, P7
   Othengrafen F., 2016, CITIES CRISIS SOCIO, P27
   Sommella R., 2020, BOLLETT SOC GEOGR IT, V14, P7, DOI [10.13128/bsgi.1263, DOI 10.13128/BSGI.1263]
   Sommella R., 2020, BOLLETT SOC GEOGR IT, V14, P13, DOI [10.13128/bsgi.1007, DOI 10.13128/BSGI.1007]
   SOMMELLA R., 2009, CUESTION CTR CENTRO, P43
   Sommella R., 2019, COMMERCIO CONSUMO NE, P67
   Sommella R., 2000, SVILUPPO SOSTENIBILE, P660
   Stumpp EM, 2013, CITIES, V32, P164, DOI 10.1016/j.cities.2013.01.003
   Viganoni L., 2019, COMMERCIO CONSUMO NE
   Viganoni L., 2017, COMMERCIO CONSUMO CI
   Vona R., 2017, COMMERCIO CONSUMO CI, P143
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Whysall P, 2011, LOCAL ECON, V26, P3, DOI 10.1177/0269094210391170
   Wrigley N., 2009, International Encyclopedia of Human Geography, P398
   Wrigley N., 2002, READING RETAIL GEOGR
   Wrigley N, 2011, ENVIRON PLANN A, V43, P2337, DOI 10.1068/a44270
   Wrigley Neil., 1996, RETAILING CONSUMPTIO
NR 77
TC 7
Z9 7
U1 3
U2 31
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 14
AR 7620
DI 10.3390/su13147620
PG 23
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 TO5WC
UT WOS:000676980500001
OA gold
DA 2025-04-22
ER

PT J
AU Poch, M
   Aldao, C
   Godo-Pla, L
   Monclús, H
   Popartan, LA
   Comas, J
   Cermerón-Romero, M
   Puig, S
   Molinos-Senante, M
AF Poch, Manel
   Aldao, Carolina
   Godo-Pla, Lluis
   Monclus, Hector
   Popartan, Lucia Alexandra
   Comas, Joaquim
   Cermeron-Romero, Manuel
   Puig, Sebastia
   Molinos-Senante, Maria
TI Increasing resilience through nudges in the urban water cycle: An
   integrative conceptual framework to support policy decision-making
SO CHEMOSPHERE
LA English
DT Article
DE Urban water cycle; Sustainable development goals; Resilience; Nudges;
   Water utilities
ID CLIMATE-CHANGE; MANAGEMENT; SYSTEMS; SAFE
AB Relevant challenges associated with the urban water cycle must be overcome to meet the United Nations Sus-tainable Development Goals (SDGs) and improve resilience. Unlike previous studies that focused only on the provision of drinking water, we propose a framework that extends the use of the theory of nudges to all stages of the overall urban water cycle (drinking water and wastewater services), and to agents of influence (citizens, organizations, and governments) at different levels of decision making. The framework integrates four main drivers (the fourth water revolution, digitalization, decentralization, and climate change), which influence how customers, water utilities and regulators approach the challenges posed by the urban water cycle. The proposed framework, based on the theory of nudges first advanced by the Nobel Prize in behavioral economics Richard H. Thaler and Cass R. Sunstein (Thaler and Sunstein, 2009), serves as a reference for policymakers to define me- dium-and long-term strategies and policies for improving the sustainability and resilience of the urban water cycle. Finally, we provide new insights for further research on resilience approaches to the management of the urban water cycle as an element to support the more efficient formulation of policies.
C1 [Poch, Manel; Godo-Pla, Lluis; Monclus, Hector; Popartan, Lucia Alexandra; Comas, Joaquim; Puig, Sebastia] Univ Girona, Inst Environm, LEQUIA, C Maria Aurelia Capmany 69, Girona 17003, Spain.
   [Aldao, Carolina] Univ Girona, Fac Tourism, Placa Josep Ferrater & Mora 1, Girona 17004, Spain.
   [Godo-Pla, Lluis] Createch Drinking Solut, Costa dEn Paratge St 22, Barcelona 08500, Catalonia, Spain.
   [Comas, Joaquim] Catalan Inst Water Res, ICRA CERCA, Emili Grahit 101, Girona 17003, Spain.
   [Cermeron-Romero, Manuel] Agbar, Passeig La Zona Franca 48, Barcelona, Spain.
   [Molinos-Senante, Maria] Pontificia Univ Catolica Chile, Hydraul & Environm Engn Dept, Ave Vicuna Mackenna 4860, Santiago, Chile.
   [Molinos-Senante, Maria] Res Ctr Integrated Management Nat Disasters CIGID, ANID FONDAP 15110017, Santiago 4860, Chile.
C3 Universitat de Girona; Universitat de Girona; Institut Catala de Recerca
   de l'Aigua (ICRA); Pontificia Universidad Catolica de Chile
RP Poch, M (corresponding author), Univ Girona, Inst Environm, LEQUIA, C Maria Aurelia Capmany 69, Girona 17003, Spain.
EM manuel.poch@udg.edu
RI Monclús, Hector/AAB-1534-2020; Aldao, Carolina/AAG-4188-2021; Matas,
   Joaquim/M-1548-2014; Puig, Sebastià/L-8562-2014; Molinos-Senante,
   Maria/IVH-9831-2023; Molinos-Senante, Maria/A-8523-2016
OI Puig, Sebastia/0000-0003-2995-1443; Popartan, Lucia
   Alexandra/0000-0002-2708-9813; Molinos-Senante,
   Maria/0000-0002-6689-6861; Godo-Pla, Lluis/0000-0001-6568-654X
FU AGAUR [2020PANDE00176]; Research Center for the Integrated Management of
   Natural Disasters (CIGIDEN) [ANID/FONDAP/15110017]; Agencia Estatal de
   Investigacion of the Spanish Ministry of Science, Innovation and
   Universities (MCIU) [RYC2019-026434-I/AEI/10.13039/501.100.011.033];
   Agencia Estatal de Investigacion del Ministerio de Ciencia e Innovacion,
   Spain [FJC2021-047857-I]; ICREA Academia award; Catalan Ministry of
   Research and Universities [2021 SGR01352, 2021 SGR 01283]
FX This research was carried out in the project "RITA - urban cycle
   ResIlient To pAndemics) funded by AGAUR (ref. 2020PANDE00176). Maria
   Molinos-Senante thanks to Research Center for the Integrated Management
   of Natural Disasters (CIGIDEN), ANID/FONDAP/15110017. Hector Monclus
   acknowledges Agencia Estatal de Investigacion of the Spanish Ministry of
   Science, Innovation and Universities (MCIU) for partially funding this
   research through the Ramon y Cajal Research Fellowship
   (RYC2019-026434-I/AEI/10.13039/501.100.011.033). Lucia Alexandra
   Popartan acknowledges the Agencia Estatal de Investigacion del
   Ministerio de Ciencia e Innovacion, Spain, for funding this research
   through the fellowship Juan de la Cierva Formacion (FJC2021-047857-I).
   Sebasti`a Puig is a Serra Hunter Fellow (UdG-AG-575) and acknowledges
   the funding from the ICREA Academia award. LEQUIA and ICRA have been
   recognized as "consolidated research groups" (Refs 2021 SGR01352 and
   2021 SGR 01283) by the Catalan Ministry of Research and Universities.
CR Adams EA, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1466
   Peña-Guzmán CA, 2017, WATER-SUI, V9, DOI 10.3390/w9110858
   [Anonymous], 2021, GOAL 6 CLEAN WAT SAN
   [Anonymous], 2014, HUM RIGHT WAT SAN IN
   Assad A, 2019, WATER-SUI, V11, DOI 10.3390/w11081701
   Bardelli L., 2021, INDUSTRIA, V42, P241, DOI [10.1430/99919, DOI 10.1430/99919]
   Bendor J., 2001, BOUNDED RATIONALITY, V1303, P1307
   Bernal D, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06375
   Bovens L, 2009, THEORY DECIS LIB A, V42, P207, DOI 10.1007/978-90-481-2593-7_10
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Capodaglio AG, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010266
   Castellar JAC, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146237
   Chambers KG, 2022, ENVIRON SCI TECH LET, V9, P583, DOI 10.1021/acs.estlett.2c00267
   Charles KJ, 2022, SCI TOTAL ENVIRON, V813, DOI 10.1016/j.scitotenv.2021.151876
   Chidozie F., 2017, Acta Univ. Danubius. Relationes Int, V10, P43
   Cook BI, 2018, CURR CLIM CHANGE REP, V4, P164, DOI 10.1007/s40641-018-0093-2
   Cubillo F, 2019, J APPL WATER ENG RES, V7, P67, DOI 10.1080/23249676.2017.1355758
   Dickin S, 2020, NPJ CLEAN WATER, V3, DOI 10.1038/s41545-020-0072-8
   Doorn N, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142561
   Festré A, 2015, J ECON SURV, V29, P339, DOI 10.1111/joes.12059
   Fox O, 2016, GLOBAL GOV, V22, P555, DOI 10.1163/19426720-02204007
   Garrido-Baserba M, 2022, WATER RES, V218, DOI 10.1016/j.watres.2022.118408
   Garrido-Baserba M, 2020, ENVIRON SCI TECHNOL, V54, P4698, DOI 10.1021/acs.est.9b04251
   Glick DM, 2019, RESOUR CONSERV RECY, V150, DOI 10.1016/j.resconrec.2019.104419
   Global Deloitte, 2021, MANAGING SUPPLY CHAI
   Grasham CF, 2021, NPJ CLEAN WATER, V4, DOI 10.1038/s41545-021-00133-2
   Guo D, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11100464
   Hatton T., 2019, RESILIENCE SHIFT PRI
   Hausman DM, 2010, J POLIT PHILOS, V18, P123, DOI 10.1111/j.1467-9760.2009.00351.x
   He X, 2019, WATER RESOUR MANAG, V33, P3691, DOI 10.1007/s11269-019-02328-2
   Holloway TG, 2021, J WATER PROCESS ENG, V42, DOI 10.1016/j.jwpe.2021.102170
   Howard G, 2021, NPJ CLEAN WATER, V4, DOI 10.1038/s41545-021-00130-5
   Joo HH, 2018, ECON INQ, V56, P1788, DOI 10.1111/ecin.12563
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   Juan-García P, 2021, WATER RES, V202, DOI 10.1016/j.watres.2021.117459
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Kumar M., 2020, RESILIENCE RESPONSE
   Kydyrbekova A, 2022, INT J INNOV STUD, V6, P142, DOI 10.1016/j.ijis.2022.05.002
   Laituri M, 2020, FRONT EARTH SCI-PRC, V14, P256, DOI 10.1007/s11707-020-0823-3
   Langergraber G, 2020, BLUE-GREEN SYST, V2, P173, DOI 10.2166/bgs.2020.933
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Lawson E, 2022, WATER ENVIRON J, V36, P161, DOI 10.1111/wej.12737
   Leveque B, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102656
   Linton J, 2014, GEOFORUM, V57, P170, DOI [10.1016/j.geoforum.2013.10.008, 10.1016/j.geoforum.2014.08.003]
   Liu SK, 2022, SCI TOTAL ENVIRON, V812, DOI 10.1016/j.scitotenv.2021.152559
   Lu ZM, 2019, WATER RES, V167, DOI 10.1016/j.watres.2019.115134
   Luoto J, 2014, J DEV ECON, V110, P13, DOI 10.1016/j.jdeveco.2014.02.010
   Makropoulos C., 2019, WATER-SUI, V11, P1959, DOI [DOI 10.3390/w11101959, 10.3390/w11101959]
   Marques RC, 2015, ENVIRON SCI POLICY, V54, P142, DOI 10.1016/j.envsci.2015.07.003
   Martin S, 2022, ENVIRON SCI POLICY, V138, P56, DOI 10.1016/j.envsci.2022.09.011
   McCulligh C, 2020, LOCAL ENVIRON, V25, P576, DOI 10.1080/13549839.2020.1805598
   Miranda JJ, 2020, WORLD BANK ECON REV, V34, P444, DOI 10.1093/wber/lhy025
   Moglia M, 2018, WATER-SUI, V10, DOI 10.3390/w10111510
   Mongin Ph., 2018, Behavioural Public Policy, V2, P107
   Munn R. E., 1986, Sustainable Development of the Biosphere, P292
   Nansubuga I, 2016, REV ENVIRON SCI BIO, V15, P465, DOI 10.1007/s11157-016-9400-3
   Nayar A., 2017, EUR J RES SOC SCI, V5
   Oral HV, 2021, WATER-SUI, V13, DOI 10.3390/w13233334
   PahlWostl C, 2015, WAT GOVN-CONC METH, P1, DOI [10.1007/978-3-319-21855-7, 10.1007/978-3-319-21855-7_8]
   Pasciucco F, 2022, J CLEAN PROD, V375, DOI 10.1016/j.jclepro.2022.134092
   Pimm S.L., 1991, BALANCE NATURE ECOLO
   Pinto FS, 2017, UTIL POLICY, V49, P38, DOI 10.1016/j.jup.2017.09.001
   Poch M, 2020, SCI TOTAL ENVIRON, V744, DOI 10.1016/j.scitotenv.2020.140980
   Popartan LA, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12052511
   Poulin C, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.107926
   Quitana G, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101575
   Rabaey K, 2020, WATER RES, V185, DOI 10.1016/j.watres.2020.116276
   Rathnayaka B, 2022, INT J DISAST RISK RE, V78, DOI 10.1016/j.ijdrr.2022.103123
   Rosen L., 2010, Water Science and Technology: Water Supply, V10, P428
   Sedlak D., 2014, Water 4.0, V1st
   Seger C., 2019, I WATER J, V3, P42
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Sun Y, 2020, SCI TOTAL ENVIRON, V725, DOI 10.1016/j.scitotenv.2020.138286
   Sweetapple C, 2018, WATER RES, V147, P1, DOI 10.1016/j.watres.2018.09.032
   Thaler R., 2009, Nudge: Improving Decisions about Health, Wealth, and Happiness, DOI DOI 10.1016/J.SOSCIJ.2008.09.003
   Tortajada C, 2020, NPJ CLEAN WATER, V3, DOI 10.1038/s41545-020-0069-3
   Tortajada C, 2019, SUSTAIN CITIES SOC, V45, P649, DOI 10.1016/j.scs.2018.11.044
   Vázquez-Rowe I, 2017, SCI TOTAL ENVIRON, V605, P246, DOI 10.1016/j.scitotenv.2017.06.222
   Vega AS, 2018, GLOB ISS WATER POL, V21, P25, DOI 10.1007/978-3-319-76702-4_3
   Velez MA, 2021, CURR OPIN BEHAV SCI, V42, DOI 10.1016/j.cobeha.2021.06.008
   Visser M, 2021, WATER RESOUR ECON, V34, DOI 10.1016/j.wre.2020.100175
   Weber EU, 2017, NAT HUM BEHAV, V1, DOI 10.1038/s41562-016-0013
   White MD, 2013, MANIPULATION OF CHOICE: ETHICS AND LIBERTARIAN PATERNALISM, P1, DOI 10.1057/9781137313577
   World Economic Forum, 2022, The global risks report 2022, V17th ed.
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   Yoon S, 2019, J CLEAN PROD, V228, P1413, DOI 10.1016/j.jclepro.2019.04.243
   Zhang CL, 2022, WATER SCI TECHNOL, V85, P188, DOI 10.2166/wst.2021.503
NR 87
TC 6
Z9 6
U1 12
U2 48
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0045-6535
EI 1879-1298
J9 CHEMOSPHERE
JI Chemosphere
PD MAR
PY 2023
VL 317
AR 137850
DI 10.1016/j.chemosphere.2023.137850
EA JAN 2023
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 8O3WM
UT WOS:000925767800001
PM 36657572
OA Green Published, hybrid
DA 2025-04-22
ER

PT J
AU Garschagen, M
AF Garschagen, Matthias
TI Resilience and organisational institutionalism from a cross-cultural
   perspective: an exploration based on urban climate change adaptation in
   Vietnam
SO NATURAL HAZARDS
LA English
DT Article
DE Resilience; Neo-institutional theory; Climate change adaptation; Urban
   development; Vietnam
ID ADAPTIVE CAPACITY; VULNERABILITY; MANAGEMENT; GOVERNANCE; SYSTEMS;
   UNCERTAINTY; DIMENSIONS; EMERGENCE; FUTURES
AB Resilience theory has gained considerable prominence with regard to the management of social-ecological systems and more recently climate change adaptation. Yet, how resilience is precisely understood, how its institutionalisation works and how organisations can operationalise principles for achieving resilience often remains vague. Therefore, the paper explores how institutional and organisational theory can enhance the understanding on resilience. Linking organisational institutionalism to resilience theory, the paper analyses in particular how resilience thinking can diffuse and translate into organisational action, and which challenges and barriers may exist. Empirical research on formal urban climate change adaptation in Vietnam is used to explore the important role of distinctive institutional features in a given culture, region or sector for shaping this process. It is argued that such context-specific institutional framework conditions are often underemphasised, thereby, hampering the transferability as well as operationalisation and implementation of resilience propositions. Relevant aspects include epistemological, ontological and normative dimensions. Linking the case study to neoinstitutional theory, recommendations are developed for increasing the intercultural transferability of resilience thinking into organisational practices.
C1 United Nations Univ, Inst Environm & Human Secur, D-53113 Bonn, Germany.
RP Garschagen, M (corresponding author), United Nations Univ, Inst Environm & Human Secur, UN Campus,Hermann Ehlers Str 10, D-53113 Bonn, Germany.
EM garschagen@ehs.unu.edu
CR Abel N., 2006, ECOLOGY SOC, V11
   ACCCRN [Asian Cities Climate Change Resilience Network], 2009, RESPONDING TO THE UR
   ADB, 2010, SUMMARY REPORT
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Aldrich H, 2006, ORGANIZATIONS EVOLGI
   Amis J, 2004, ACAD MANAGE J, V47, P15, DOI 10.5465/20159558
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], RISK PLANET EARTH VU
   [Anonymous], 1996, HDB ORG STUDIES
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   [Anonymous], ECOLOGY SOC
   [Anonymous], 2008, The SAGE Handbook of Organizational Institutionalism
   [Anonymous], ECOLOGY SOC
   [Anonymous], ADAPTING CITIES CLIM
   [Anonymous], 2009, Climate Change, Sea Level Rise Scenarios for Vietnam
   Apel H, 2010, HYDROLOGY CONFERENCE
   Plowman DA, 2007, ACAD MANAGE J, V50, P515, DOI 10.5465/AMJ.2007.25525647
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Biggs D., 2009, Contested waterscapes in the Mekong region: Hydropower, livelihoods and governance, P203
   Biggs R, 2007, ECOL SOC, V12
   Biggs R, 2010, ECOL SOC, V15, DOI 10.5751/ES-03411-150209
   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
   Bohle H., 2008, MEGACITIES RESILIENC
   Bohle H-G, 2008, NATURRISIKEN UND SOZ
   Carew-Reid J, 2008, RAPID ASSESSMENT OF
   Carpenter SR, 2008, ECOL SOC, V13
   Carpenter StephenR., 2002, PANARCHY, P173
   Casimir Michael., 2008, CULTURE CHANGING ENV, P1
   CFSC [Committee for Flood and Storm Control Socialist Republic of Vietnam], 2004, NATIONAL REPORT ON D
   Chaudry P, 2007, OCCASIONAL PAPER TO
   Coulthart A, 2006, MEETING THE CHALLENG
   Cruz RV, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P469
   DANG HA, 2007, VIET  NAM 20 YEARTS, P1
   Dasgupta S, 2007, THE IMPACT OF SEA LE
   Delgado JM, 2010, HYDROL EARTH SYST SC, V14, P407, DOI 10.5194/hess-14-407-2010
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P1, DOI 10.1016/j.gloenvcha.2006.12.001
   DiMaggio PJ, 2000, ADV STRATEG MANAGE, V 17, P143, DOI 10.2307/2095101
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Garschagen M, 2010, PROCEEDINGS INTERNAT, P37
   Garschagen M, 2009, DKKV PUBLICATION SER, V38
   Garschagen M, 2010, TIPPING POINTS HUMAN, V13, p[45, 45]
   Giddens A., 1976, NEW RULES SOCIOLOGIC
   Greenwood R, 1996, ACAD MANAGE REV, V21, P1022, DOI 10.2307/259163
   Greenwood R, 2002, ACAD MANAGE J, V45, P58, DOI 10.5465/3069285
   Greenwood R., 2008, SAGE HDB ORG INSTITU, P1, DOI [10.4135/9781849200387, DOI 10.4135/9781849200387.N1]
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hutter G, 2011, ORGANIZING SOCIAL RE
   Hy Luong., 2003, POSTWAR VIETNAM DYNA, P1
   IIED [International Institute for Environment and Development], 2009, CLIMATE CHANGE AND T
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P240, DOI 10.1016/j.gloenvcha.2006.04.001
   Jepperson R.L., 1991, The New institutionalism in organizational analysis, P143
   Käkönen M, 2008, AMBIO, V37, P205, DOI 10.1579/0044-7447(2008)37[205:MDATCM]2.0.CO;2
   Kandlikar M, 2005, CR GEOSCI, V337, P443, DOI 10.1016/j.crte.2004.10.010
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kombe WJ, 2000, HABITAT INT, V24, P231, DOI 10.1016/S0197-3975(99)00041-7
   Kraas F, 2004, TECHNOLOGY RESOURCE, V3, P95
   KRAAS F, 2004, GEOGR HELV, V59, P30
   Lang N, 2006, URBANIZATION AND SUS
   Lebel L, 2006, ECOL SOC, V11
   Masten AF, 2008, ARTS INTELL LIFE MOD, P9
   McGee TG, 2008, J RITSUMEIKAN GEOGR, V12, P1
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   MEYER JW, 1977, AM J SOCIOL, V83, P340, DOI 10.1086/226550
   MoNRE [Ministry of Natural Resources and the Environment], 2003, VIET NAM INITIAL NAT
   Moser C, 2008, CLIMATE CHANGE AND C
   OLIVER C, 1991, ACAD MANAGE REV, V16, P145, DOI 10.2307/258610
   Oliver-Smith Anthony., 2004, Mapping Vulnerability: Disasters, Development and People, P10
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Pelling M., 2003, VULNERABILITY CITIES
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Prasad N, 2009, CLIMATE RESILIENT CITIES: A PRIMER ON REDUCING VULNERABILITIES TO DISASTERS, P1, DOI 10.1596/978-0-8213-7766-6
   Ramos JM, 2006, FUTURES, V38, P642, DOI 10.1016/j.futures.2005.10.008
   Renaud FG, 2010, NAT HAZARDS, V55, P749, DOI 10.1007/s11069-010-9505-x
   Rogers E, 2003, Diffusion of innovations, Vfifth
   Sahlin-Andersson K., 1996, TRANSLATING ORG CHAN, V56, P69, DOI DOI 10.1515/9783110879735.69
   Schilling E.G., 2009, Acceptance sampling in quality control (2009), V2nd, P1
   Scott R. W., 2008, INSTITUTIONS AND ORG
   Scott WR, 2003, IND CORP CHANGE, V12, P879, DOI 10.1093/icc/12.4.879
   Selznick P, 1948, AM SOCIOL REV, V13, P25, DOI 10.2307/2086752
   Seo MG, 2002, ACAD MANAGE REV, V27, P222, DOI 10.5465/AMR.2002.6588004
   Shannon K, 2009, WATER AND URBAN DEVE
   Shen X, 2010, GRADUATE RESEARCH SE, V1
   Sivell PM, 2008, CLIENT REPORT FOR TH
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   SRV [Socialist Republic of Vietnam], 2009, MINISTRY OF AGRICULT
   Stern N, 2006, THE STERN REVIEW
   Storch H, 2010, PAPER PRESENTED AT T
   STRANG D, 1993, THEOR SOC, V22, P487, DOI 10.1007/BF00993595
   Tompkins EL, 2004, ECOL SOC, V9
   Trong NP, 2007, DOIMOI RENEWAL RETRO, P24
   Tschakert P, 2010, ECOL SOC, V15
   Tuan VV, 2010, PRESENTATION 3RD WIS
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   UN-DESA [United Nations Department of Economic and Social Affairs], 2009, WORLD URBANIZATION P
   Van Etten J, 2007, ALADIN, V8, P3
   Vasavakul T, 2003, GETTING ORGANIZED IN
   Walgenbach P., 2006, Organisationstheorien S, P353
   Walgenbach P.R. Meyer., 2008, Neoinstitutionalistische Organisationstheorie
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2006, ECOL SOC, V11
   Wallace D, 2008, ECOL SOC, V13
   World Bank and PC CTC [People's Committee of Can Tho City], 2009, INITIAL LOCAL RESILI
   Yeung YM, 2007, EURASIAN GEOGR ECON, V48, P269, DOI 10.2747/1538-7216.48.3.269
   Yip NM, 2008, PAC REV, V21, P189, DOI 10.1080/09512740801990253
NR 110
TC 55
Z9 59
U1 1
U2 92
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 MAY
PY 2013
VL 67
IS 1
BP 25
EP 46
DI 10.1007/s11069-011-9753-4
PG 22
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 138DB
UT WOS:000318487700003
DA 2025-04-22
ER

PT J
AU Long, L
   Junjia, Y
   Jiao, W
   Alias, AH
   Haron, NA
   Abu Bakar, N
AF Long, Liu
   Junjia, Yin
   Jiao, Wang
   Alias, Aidi Hizami
   Haron, Nuzul Azam
   Abu Bakar, Nabilah
TI Urban flood resilience evaluation in China: a systematic review of
   frameworks, methods, and limitations
SO GEOMATICS NATURAL HAZARDS & RISK
LA English
DT Review
DE Urban flooding; resilience evaluation; systematic review; China; future
   directions
ID RISK-MANAGEMENT
AB With the acceleration of climate change and urbanization, the impacts of floods on Chinese cities have become increasingly severe, and improving urban flood resilience has become an urgent issue. Although scholars in China have proposed many methods to evaluate urban flood resilience in the last decade, research in this field has not been critically reviewed thoroughly and in detail. Therefore, this study selects high-quality original research papers from the previous decade and focuses on analyzing the location, framework, data, analytical methods, and limitations of current assessment methods. The study's main objective is to inform the identification of a flood resilience assessment system applicable to the Chinese urban context while revealing the existing methodology's shortcomings in data accuracy and quality, consideration of regional variability, and indicator validity. Finally, the study finds significant challenges in eight field areas: talent pool, public participation, and investment and financing mechanisms. It provides eight targeted strategies, such as building a multi-sectoral synergistic governance mechanism.
C1 [Long, Liu] Hunan Urban Construct Coll, Dept Architecture, Xiangtan, Peoples R China.
   [Junjia, Yin; Alias, Aidi Hizami; Haron, Nuzul Azam; Abu Bakar, Nabilah] Univ Putra Malaysia, Fac Engn, Dept Civil Engn, Serdang, Malaysia.
   [Jiao, Wang] Guizhou Commun Polytech Univ, Dept Construct Engn, Guiyang, Peoples R China.
   [Jiao, Wang] Univ Sains Malaysia, Sch Housing Bldg & Planning, Gelugor, Pulau Pinang, Malaysia.
C3 Universiti Putra Malaysia; Guizhou Communications Polytechnic
   University; Universiti Sains Malaysia
RP Junjia, Y (corresponding author), Univ Putra Malaysia, Fac Engn, Dept Civil Engn, Serdang, Malaysia.
EM gs64764@student.upm.edu.my
RI Junjia, Yin/GXN-2221-2022
OI Junjia, Yin/0000-0003-0581-0603
CR Ahilan S, 2019, J HYDROL, V571, P805, DOI 10.1016/j.jhydrol.2019.02.002
   Albers T, 2015, WETL ECOL MANAG, V23, P991, DOI 10.1007/s11273-015-9441-3
   Benson D, 2016, ENVIRON SCI POLICY, V55, P326, DOI 10.1016/j.envsci.2015.05.013
   Bin F., 2024, Linkedincom Internet
   Bulti DT, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-1731-6
   Cao FF, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110643
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chang YS, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12877
   Chen JF, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17010049
   Chen XB, 2022, KSCE J CIV ENG, V26, P4178, DOI 10.1007/s12205-022-2257-9
   Chen Y, 2019, ENTROPY-SWITZ, V21, DOI 10.3390/e21010014
   Chen Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062401
   China Business Industry Research Institute (CBIRI), 2023, China data on resources and environment
   China Emergency Information Network (CEIN), 2022, Emerinfocn Internet
   Conell-Price L, 2022, J RISK INSUR, V89, P1109, DOI 10.1111/jori.12404
   Demissie Z, 2024, APPL COMPUT GEOSCI, V23, DOI 10.1016/j.acags.2024.100183
   Fu X, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125146
   Fu XF, 2024, J HYDROL, V636, DOI 10.1016/j.jhydrol.2024.131255
   Gafter L, 2022, CITIES, V125, DOI 10.1016/j.cities.2022.103636
   Gao MY, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19148837
   Gldal S., 2021, Afyon Kocatepe University J Sci Engng, V21, P559, DOI [10.35414/akufemubid.870835, DOI 10.35414/AKUFEMUBID.870835]
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Green D, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1560
   Gul H, 2024, NAT HAZARDS, V120, P13757, DOI 10.1007/s11069-024-06836-2
   Guo JY, 2024, INT J DISAST RISK RE, V108, DOI 10.1016/j.ijdrr.2024.104583
   Haifeng Q., 2023, newscctvcom Internet
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   Hammond M, 2018, URBAN WATER J, V15, P427, DOI 10.1080/1573062X.2018.1508598
   Iqbal U, 2023, WATER ENVIRON J, V37, P373, DOI 10.1111/wej.12845
   Ji J, 2024, INT J DISAST RISK RE, V108, DOI 10.1016/j.ijdrr.2024.104519
   Ji J, 2022, WATER SCI TECHNOL, V86, P3264, DOI 10.2166/wst.2022.404
   Jiang FS, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103759
   Junjia Y., 2024, Build Eng, V2, P544, DOI [10.59400/be.v2i1.544, DOI 10.59400/BE.V2I1.544]
   Junjia Y, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151511803
   Junjia Y, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13071853
   Khodadad M, 2023, WATER-SUI, V15, DOI 10.3390/w15030523
   Li DZ, 2022, ENVIRON SCI POLLUT R, V29, P46306, DOI 10.1007/s11356-022-19142-w
   Li F, 2022, REMOTE SENS LETT, V13, P651, DOI 10.1080/2150704X.2022.2068987
   Li K, 2024, SYSTEMS-BASEL, V12, DOI 10.3390/systems12020043
   Li ZM, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101140
   Liang CM, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106810
   Liu CS, 2023, J ENVIRON MANAGE, V344, DOI 10.1016/j.jenvman.2023.118482
   López-Marrero T, 2011, ENVIRON URBAN, V23, P229, DOI 10.1177/0956247810396055
   Lu S, 2023, WATER-SUI, V15, DOI 10.3390/w15101865
   Manandhar B, 2023, LAND-BASEL, V12, DOI 10.3390/land12030625
   Manandhar B, 2023, LAND-BASEL, V12, DOI 10.3390/land12030627
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Moher D, 2011, EPIDEMIOLOGY, V22, P128, DOI 10.1097/EDE.0b013e3181fe7825
   Prashar N, 2023, PROG DISASTER SCI, V20, DOI 10.1016/j.pdisas.2023.100299
   Qiao H, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010038
   Qin XX, 2024, ENERGIES, V17, DOI 10.3390/en17153826
   Radigan WJ, 2018, RIVER RES APPL, V34, P270, DOI 10.1002/rra.3247
   Rezende OM, 2019, WATER-SUI, V11, DOI 10.3390/w11071485
   Rözer V, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/aca8bc
   Ruan JE, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102578
   Saad HA, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.628829
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Sharifi A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155918
   Shen P., 2023, Ocean-Land-Atmosphere Research, V2, DOI [10.34133/olar.0029, DOI 10.34133/OLAR.0029]
   Song JL, 2017, WATER-SUI, V9, DOI 10.3390/w9080619
   Sun H, 2024, REMOTE SENS-BASEL, V16, DOI 10.3390/rs16020350
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Suna RR, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103344
   Suykens CBR, 2019, WATER INT, V44, P622, DOI 10.1080/02508060.2019.1640957
   Takin M, 2023, FRONT SUSTAIN CITIES, V5, DOI 10.3389/frsc.2023.1186885
   Tian T, 2024, LAND-BASEL, V13, DOI 10.3390/land13020163
   Wang LH, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e11763
   Wang MM, 2021, J ENVIRON MANAGE, V288, DOI 10.1016/j.jenvman.2021.112472
   Wang M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151813616
   Wang P, 2021, NAT HAZARDS, V109, P2575, DOI 10.1007/s11069-021-04933-0
   Wang Q, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2024.111625
   Wang QH, 2023, SENSORS-BASEL, V23, DOI 10.3390/s23063065
   Wang R, 2023, FUDAN J HUM SOC SCI, V16, P293, DOI 10.1007/s40647-023-00374-0
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Wu YW, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128349
   Wu ZN, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14194777
   Wu ZX, 2024, ECOL INDIC, V167, DOI 10.1016/j.ecolind.2024.112705
   Xie ZQ, 2024, WATER SCI TECHNOL, V89, P252, DOI 10.2166/wst.2023.413
   Xiong Wen, 2024, Journal of Southeast University (Natural Science Edition), V54, P329, DOI 10.3969/j.issn.1001-0505.2024.02.010
   Xu K, 2024, J ENVIRON MANAGE, V360, DOI 10.1016/j.jenvman.2024.121135
   Xu T, 2023, WATER SCI TECHNOL, V87, P2820, DOI 10.2166/wst.2023.149
   Xu WP, 2024, WATER-SUI, V16, DOI 10.3390/w16111614
   Xu WP, 2023, WATER-SUI, V15, DOI 10.3390/w15101887
   Xu WP, 2023, HYDROLOGY-BASEL, V10, DOI 10.3390/hydrology10020035
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   Xu WP, 2020, WATER-SUI, V12, DOI 10.3390/w12102784
   Yang YY, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126470
   Yu SY, 2023, LANDSCAPE URBAN PLAN, V230, DOI 10.1016/j.landurbplan.2022.104605
   Zhang HM, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102248
   Zhang JX, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11050285
   Zhang XQ, 2023, J CLEAN PROD, V423, DOI 10.1016/j.jclepro.2023.138840
   Zhang XW, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2022.101402
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zhang Xuelian, 2024, Sci Total Environ, V957, P177442, DOI 10.1016/j.scitotenv.2024.177442
   Zhang Y, 2023, ECOL INDIC, V150, DOI 10.1016/j.ecolind.2023.110230
   Zhang YL, 2024, LAND-BASEL, V13, DOI 10.3390/land13010053
   Zhang Z, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071872
   Zhong M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041521
   Zhu HG, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020665
   Zhu SY, 2023, LAND-BASEL, V12, DOI 10.3390/land12061200
   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 102
TC 0
Z9 0
U1 64
U2 64
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
J9 GEOMAT NAT HAZ RISK
JI Geomat. Nat. Hazards Risk
PD DEC 31
PY 2025
VL 16
IS 1
AR 2445631
DI 10.1080/19475705.2024.2445631
PG 30
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Remote Sensing; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
GA Q1T2S
UT WOS:001382588400001
OA gold
DA 2025-04-22
ER

PT J
AU Chen, L
   Chang, M
   Yang, HN
   Xiao, Y
   Huang, H
   Wang, XY
AF Chen, Liang
   Chang, Ming
   Yang, Haonan
   Xiao, Yi
   Huang, Huan
   Wang, Xinyuan
TI Comprehensive evaluation and optimal management of extreme disaster risk
   in Chinese urban agglomerations by integrating resilience risk elements
   and set pair analysis
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Resilience risk elements; Set pair analysis; Chinese urban
   agglomerations; Extreme disasters; Risk assessment; Risk management
   strategies
ID EVOLUTION; SAFETY
AB This study comprehensively assesses the extreme disaster risk faced by Chinese urban agglomerations and optimizes disaster risk management strategies to enhance their disaster resilience and sustainable development. The focus is specifically on droughts, floods, and earthquakes. The integration of resilience risk elements and set pair analysis (SPA) is employed to obtain risk assessment results for different urban agglomerations, including hazard, exposure, vulnerability, and disaster prevention and mitigation capabilities. The study explores the contributions of important indicators, such as exposure, vulnerability, and disaster prevention and mitigation capabilities, in disaster risk assessment, as well as their performance in various risk-prone urban areas. Comparative analysis of the assessment results for different urban agglomerations under various disaster types reveals varying levels of risk in droughts, floods, and earthquakes across different regions. Some areas exhibit higher hazard, exposure, or vulnerability levels, necessitating strengthened disaster prevention and mitigation measures. Regions with high exposure, low vulnerability, and strong disaster prevention and mitigation capabilities may face lower earthquake disaster risk, while regions with low exposure, high vulnerability, and weak disaster prevention and mitigation capabilities may face higher earthquake disaster risk. Moreover, the Comprehensive SPA model and Interval-valued SPA model outperform traditional SPA methods in assessing the existing flood risk level in Chinese urban agglomerations. The integrated model plays a significant role in predicting earthquake disasters, demonstrating the best predictive performance. This study provides essential reference data for urban disaster prevention and mitigation efforts, aiming to enhance urban resilience and disaster resilience capabilities.
C1 [Chen, Liang] Chengdu Univ Technol, Coll Environm & Civil Engn, Chengdu 610059, Sichuan, Peoples R China.
   [Chang, Ming] Chengdu Univ Technol, State Key Lab GeoHazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
   [Yang, Haonan; Xiao, Yi; Huang, Huan] Chengdu Univ Technol, Business Sch, Chengdu 610059, Sichuan, Peoples R China.
   [Wang, Xinyuan] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Huang, Huan] Renmin Univ China, Yangtze River Econ Zone Res Inst, Yibin 644000, Sichuan, Peoples R China.
   [Huang, Huan] Chengdu Univ Technol, Digital Hu Huanyong Line Res Inst, Chengdu 610059, Sichuan, Peoples R China.
   [Yang, Haonan] Chengdu Jincheng Coll, Sch Finance & Accounting, Chengdu 610097, Sichuan, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology;
   Chengdu University of Technology; Chinese Academy of Sciences; Aerospace
   Information Research Institute, CAS; Renmin University of China; Chengdu
   University of Technology
RP Chang, M (corresponding author), 1 East 3rd Rd, Chengdu, Sichuan, Peoples R China.
EM changmxq@163.com
RI CHANG, Ming/GLV-1529-2022; Wang, Xinyuan/KHZ-2234-2024
FU National Natural Science Foundation of China [U21A2032, 42077245];
   Natural Science Foundation of Sichuan Province [2024NSFSC0071]; Center
   of Sichuan Nationalities and Mountains Economic Development
   [SD-JJ202304]; State Key Laboratory of Geohazard Prevention and
   Geoenvironment Protection Independent Research Project [SKL-GP2022Z005];
   Sichuan Center for Disaster Economic Research [ZHJJ2023ZC002]
FX This research is supported by The National Natural Science Foundation of
   China (U21A2032, No.42077245) ; Natural Science Foundation of Sichuan
   Province (2024NSFSC0071) ; The Center of Sichuan Nationalities and
   Mountains Economic Development (SD-JJ202304) ; The State Key Laboratory
   of Geohazard Prevention and Geoenvironment Protection Independent
   Research Project (SKL-GP2022Z005) ; Sichuan Center for Disaster Economic
   Research (ZHJJ2023ZC002) .
CR Alok S, 2020, REV FINANC STUD, V33, P1146, DOI 10.1093/rfs/hhz143
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Arosio M, 2020, NAT HAZARD EARTH SYS, V20, P521, DOI 10.5194/nhess-20-521-2020
   Chen H, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192416406
   Chen JF, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17010049
   Chen L, 2023, J CLEAN PROD, V428, DOI 10.1016/j.jclepro.2023.139238
   Chen L, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109920
   Chen Q, 2019, J GEOGR SCI, V29, P1859, DOI 10.1007/s11442-019-1993-z
   Couasnon A, 2020, NAT HAZARD EARTH SYS, V20, P489, DOI 10.5194/nhess-20-489-2020
   Fekete A, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12600
   Gao C, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101562
   Gao ZC, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104212
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Guo YK, 2024, REMOTE SENS-BASEL, V16, DOI 10.3390/rs16010045
   Hafsi A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151411246
   He YF, 2022, GEOCARTO INT, V37, P6141, DOI 10.1080/10106049.2021.1926560
   Hillier JK, 2020, NAT CLIM CHANGE, V10, P595, DOI 10.1038/s41558-020-0832-y
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Kang CX, 2021, WATER-SUI, V13, DOI 10.3390/w13020150
   Kattel G, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1500
   Kim SK, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87739-1
   Kreibich H, 2022, NATURE, V608, P80, DOI 10.1038/s41586-022-04917-5
   Kutty AA, 2023, CITIES, V137, DOI 10.1016/j.cities.2023.104293
   Li F, 2023, COMPLEX INTELL SYST, V9, P51, DOI 10.1007/s40747-022-00778-7
   Li JM, 2023, NAT HAZARDS, V117, P1245, DOI 10.1007/s11069-023-05902-5
   Li ZH, 2021, LAND-BASEL, V10, DOI 10.3390/land10080878
   Lin KR, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124696
   Liu F, 2021, WATER-SUI, V13, DOI 10.3390/w13060770
   Lu XH, 2022, ENVIRON SCI POLLUT R, V29, P36443, DOI 10.1007/s11356-021-18124-8
   Lu Y, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103313
   Luo D, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101759
   Luo X, 2022, WATER-SUI, V14, DOI 10.3390/w14071083
   Ma F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072593
   Meza I, 2020, NAT HAZARD EARTH SYS, V20, P695, DOI 10.5194/nhess-20-695-2020
   Mu XF, 2022, J GEOGR SCI, V32, P1766, DOI 10.1007/s11442-022-2022-5
   Nohrstedt D, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20435-2
   Pagano A, 2021, WATER RESOUR MANAG, V35, P613, DOI 10.1007/s11269-020-02741-y
   Peng JQ, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103080
   Pietrucha-Urbanik K, 2023, WATER-SUI, V15, DOI 10.3390/w15223965
   Rak J, 2008, ENVIRON PROT ENG, V34, P57
   Ranasinghe U, 2020, SAF HEALTH WORK-KR, V11, P127, DOI 10.1016/j.shaw.2020.03.009
   Sharifi A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155918
   Sun J, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105058
   Tan RP, 2023, SOFT COMPUT, V27, P8289, DOI 10.1007/s00500-022-07750-0
   Thurston AM, 2021, BMJ GLOB HEALTH, V6, DOI 10.1136/bmjgh-2020-004377
   Ullah K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229153
   Wang J, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001716
   Wang MW, 2020, INT J GEOMECH, V20, DOI 10.1061/(ASCE)GM.1943-5622.0001546
   Wang WD, 2020, GEOMAT NAT HAZ RISK, V11, P1, DOI 10.1080/19475705.2019.1699606
   Wang YC, 2017, B ENG GEOL ENVIRON, V76, P1199, DOI 10.1007/s10064-016-0918-y
   Wang YJ, 2022, GEOMAT NAT HAZ RISK, V13, P267, DOI 10.1080/19475705.2021.2023224
   Wang YJ, 2021, METEOROL APPL, V28, DOI 10.1002/met.2024
   Wu F, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12707
   Xiao Y, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102958
   Xu FG, 2023, B ENG GEOL ENVIRON, V82, DOI 10.1007/s10064-023-03421-y
   Xu HF, 2021, NAT HAZARDS, V107, P2693, DOI 10.1007/s11069-021-04681-1
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   Yan F, 2016, BIORESOURCES, V11, P8307, DOI 10.15376/biores.11.4.8307-8324
   Yu JR, 2023, J HYDROL-REG STUD, V47, DOI 10.1016/j.ejrh.2023.101434
   Zeng HB, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031167
   Zhang GW, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac046e
   Zhang JD, 2019, WATER-SUI, V11, DOI 10.3390/w11081718
   Zheng JX, 2023, INT J DISAST RISK RE, V86, DOI 10.1016/j.ijdrr.2023.103568
   Zhu JL, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151411216
NR 64
TC 5
Z9 5
U1 62
U2 93
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 104671
DI 10.1016/j.ijdrr.2024.104671
EA JUL 2024
PG 21
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA YR3V6
UT WOS:001270179700001
DA 2025-04-22
ER

PT J
AU Chen, JL
   Chen, WJ
   Huang, GR
AF Chen, Jialei
   Chen, Wenjie
   Huang, Guoru
TI Assessing urban pluvial flood resilience based on a novel grid-based
   quantification method that considers human risk perceptions
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Urban area; Flood resilience; System performance curve; Risk perception;
   Land-use type
ID ENTROPY-WEIGHT METHOD; METRO SYSTEMS; MODEL; MANAGEMENT; PERFORMANCE;
   GREEN; INDEX
AB The growing worldwide threat of urban flooding has stimulated research on flood resilience so that more targeted measures can be implemented in vulnerable areas to mitigate flood losses. During flood events, people generally show different risk perceptions for different inundation areas according to their population density, economic degree, and service function. In this study, the risk perception was quantified into weights and integrated into the resilience calculation to identify areas vulnerable to floods and posing a danger to human life and property. An area in Zhuhai, China, was selected as the research region. With the proposed novel method, the grid-based flood resilience under different rainfall scenarios and different time periods of the day (human work and rest hours) was researched. Moreover, the resilience of different land uses and the impacts of two critical parameters in the resilience equations were also studied. The results indicated that the risk perception related to a given land-use generally changed according to different periods of the day. The overall resilience of the research region was lower when more severe rainstorm occurred in a given time period. The resilience in the work hours was higher than that in the rest hours during the same rainstorm event, indicating that the living/ working state of people affected the flood resilience in urban areas. Analyses of the two parameters provided plausibility verification for the parameters and indicated that a slight increase in the height of building doorsills substantially decreased the areas with low and very low resilience. And this decrease effect was more pronounced in the rest hours than the work hours. Results of this study provide an in-depth understanding of urban flood resilience and targeted guidance for engineering construction and flood management.
C1 [Chen, Jialei; Chen, Wenjie; Huang, Guoru] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China.
   [Huang, Guoru] South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou 510640, Peoples R China.
   [Chen, Wenjie; Huang, Guoru] Guangdong Engn Technol Res Ctr Safety & Greenizat, Guangzhou 510640, Peoples R China.
C3 South China University of Technology; South China University of
   Technology
RP Chen, WJ; Huang, GR (corresponding author), South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China.
EM wjchen@scut.edu.cn; huanggr@scut.edu.cn
FU National Key Research and Development Program of China [2018YFC1508203];
   National Natural Science Foundation of China [51879108]
FX This research described was funded by the National Key Research and
   Development Program of China (2018YFC1508203), and the National Natural
   Science Foundation of China (51879108). The authors would also like to
   extend thanks to three anonymous reviewers. This paper was totally
   improved according to their valuable comments and suggestions.
CR Allaire MC, 2016, WATER RESOUR RES, V52, P7408, DOI 10.1002/2016WR019243
   [Anonymous], 2014, Infoworks icm help v5.0
   Argyroudis SA, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136854
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Birkholz S, 2014, SCI TOTAL ENVIRON, V478, P12, DOI 10.1016/j.scitotenv.2014.01.061
   Bradford RA, 2012, NAT HAZARD EARTH SYS, V12, P2299, DOI 10.5194/nhess-12-2299-2012
   Chang FJ, 2014, J HYDROL, V517, P836, DOI 10.1016/j.jhydrol.2014.06.013
   Chen WJ, 2018, J HYDROL, V564, P1022, DOI 10.1016/j.jhydrol.2018.07.069
   de Vitry MM, 2020, WATER RES, V175, DOI 10.1016/j.watres.2020.115669
   Delgado A, 2016, ENVIRON MODELL SOFTW, V77, P108, DOI 10.1016/j.envsoft.2015.12.011
   Disse M., 2020, Water Security, V9, P54, DOI 10.1016/j.wasec.2020.100059
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Eckart K, 2017, SCI TOTAL ENVIRON, V607, P413, DOI 10.1016/j.scitotenv.2017.06.254
   Fisher L, 2015, NATURE, V518, P35, DOI 10.1038/518035a
   Gotangco CK, 2016, J FLOOD RISK MANAG, V9, P196, DOI 10.1111/jfr3.12222
   Guidolin M, 2016, ENVIRON MODELL SOFTW, V84, P378, DOI 10.1016/j.envsoft.2016.07.008
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jia HF, 2017, FRONT ENV SCI ENG, V11, DOI 10.1007/s11783-017-0984-9
   Jia HF, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-015-4595-2
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   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
   Kuller M, 2019, SCI TOTAL ENVIRON, V686, P856, DOI 10.1016/j.scitotenv.2019.06.051
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   Lechowska E, 2018, NAT HAZARDS, V94, P1341, DOI 10.1007/s11069-018-3480-z
   Li JG, 2019, CITIES, V86, P62, DOI 10.1016/j.cities.2018.12.008
   Li SS, 2020, J HYDROL, V588, DOI 10.1016/j.jhydrol.2020.125051
   Lin KR, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124696
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Liu WB, 2019, SCI TOTAL ENVIRON, V672, P201, DOI 10.1016/j.scitotenv.2019.03.408
   Lyu HM, 2019, HYDROL EARTH SYST SC, V23, P4293, DOI 10.5194/hess-23-4293-2019
   Lyu HM, 2018, SCI TOTAL ENVIRON, V626, P1012, DOI 10.1016/j.scitotenv.2018.01.138
   Manyena B, 2019, WORLD DEV, V123, DOI 10.1016/j.worlddev.2019.06.011
   Meng F, 2018, WATER RES, V143, P376, DOI 10.1016/j.watres.2018.06.048
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Raaijmakers R, 2008, NAT HAZARDS, V46, P307, DOI 10.1007/s11069-007-9189-z
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Roach T, 2018, ADV WATER RESOUR, V116, P18, DOI 10.1016/j.advwatres.2018.03.016
   Shafieezadeh A, 2014, RELIAB ENG SYST SAFE, V132, P207, DOI 10.1016/j.ress.2014.07.021
   SHANNON CE, 1948, BELL SYST TECH J, V27, P623, DOI 10.1002/j.1538-7305.1948.tb00917.x
   Simonovic SP, 2016, WATER RESOUR RES, V52, P8630, DOI 10.1002/2016WR019551
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Tourbier J., 2012, METHODOLOGY DEFINE F, P13902
   Uddin MS, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110457
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Wang ZL, 2015, J HYDROL, V527, P1130, DOI 10.1016/j.jhydrol.2015.06.008
   Wu JS, 2013, REMOTE SENS ENVIRON, V134, P111, DOI 10.1016/j.rse.2013.03.001
   Wu ZN, 2020, SCI TOTAL ENVIRON, V716, DOI 10.1016/j.scitotenv.2020.137077
   Xu HS, 2018, J HYDROL, V563, P975, DOI 10.1016/j.jhydrol.2018.06.060
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
NR 52
TC 32
Z9 35
U1 17
U2 155
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD OCT
PY 2021
VL 601
AR 126601
DI 10.1016/j.jhydrol.2021.126601
EA JUL 2021
PG 14
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA UQ1FF
UT WOS:000695816300023
DA 2025-04-22
ER

PT J
AU La Loggia, G
   Puleo, V
   Freni, G
AF La Loggia, Goffredo
   Puleo, Valeria
   Freni, Gabriele
TI Floodability: A New Paradigm for Designing Urban Drainage and Achieving
   Sustainable Urban Growth
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Flooding risk; Mitigation measures; Sustainable urban drainage systems;
   Floodproofing
ID NATURAL HAZARDS; OPPORTUNITIES; MANAGEMENT; CLIMATE
AB For a large part of human history, urbanization was focused on two main objectives: defence and resource harvesting. The first objective was always achieved in a broad sense, i.e., defending the population from other humans and from natural events. Focusing on human activities, this defensive approach was also applied to urban drainage, which resulted in a systematic underestimation of the impacts of urbanization on natural systems. Environmental sustainability was introduced in an attempt to mitigate these impacts, as they had the potential to endanger future developments; thus, the possibility that urban floods may be the lesser evil was accepted. Resilience was then introduced to improve not only defence of urban areas but also their ability to recover from negative events, even though physical resilience is not always accompanied by social resilience. This paper attempts to address the philosophy of urban drainage design, introducing the new concept offloodabilityas an evolution of flood resilience by identifying its requirements and drivers and by using real examples to present the new concept.
C1 [La Loggia, Goffredo; Puleo, Valeria] Univ Palermo, Dipartimento Ingn, I-90100 Palermo, Italy.
   [Freni, Gabriele] Univ Enna Kore, Fac Ingn & Architettura, I-94100 Enna, Italy.
C3 University of Palermo; Universita Kore di ENNA
RP Puleo, V (corresponding author), Univ Palermo, Dipartimento Ingn, I-90100 Palermo, Italy.
EM goffredo.laloggia@unipa.it; valeria.puleo@unipa.it;
   gabriele.freni@unikore.it
RI Puleo, Valeria/AAN-7215-2020; Freni, Gabriele/C-1251-2009
OI Freni, Gabriele/0000-0002-8019-6378
FU Universita degli Studi di Palermo within the CRUI-CARE Agreement
FX Open access funding provided by Universita degli Studi di Palermo within
   the CRUI-CARE Agreement.
CR [Anonymous], 2018, RISK MANAGEMENT ISO
   [Anonymous], 2017, VENICE MOSE STORY FA
   Assumpçao TH, 2018, HYDROL EARTH SYST SC, V22, P1473, DOI 10.5194/hess-22-1473-2018
   Aven T, 2009, J RISK RES, V12, P1, DOI 10.1080/13669870802488883
   Bendix A, 2018, BUSINESS INSIDER AUS
   Coombes PJ, 2008, AUSTRALAS J WAT RESO, V12, P85, DOI 10.1080/13241583.2008.11465337
   Dieperink C, 2018, ECOL SOC, V23, DOI 10.5751/ES-09962-230131
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Freni G, 2019, WATER-SUI, V11, DOI 10.3390/w11071389
   Harvatt J, 2011, J RISK RES, V14, P63, DOI 10.1080/13669877.2010.503935
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   La Loggia G, 2011, WIT T BUILT ENV, P203
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Madricardo F, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.121
   Menoni S, 2002, SOIL DYN EARTHQ ENG, V22, P1199, DOI 10.1016/S0267-7261(02)00148-3
   Neville J, 2009, J URBAN DES, V14, P309, DOI 10.1080/13574800903087940
   Nóren V, 2016, INT J DISAST RISK RE, V18, P206, DOI 10.1016/j.ijdrr.2016.07.003
   Novotny V, 2008, OXF ROUNDT WORKSH SU
   Palazzo E, 2019, J URBAN DES, V24, P137, DOI 10.1080/13574809.2018.1511972
   Pasi R, 2016, THESIS
   Pasi R, 2018, GREEN ENERGY TECHNOL, P79, DOI 10.1007/978-3-319-75774-2_6
   RIBA, 2009, BUILD FUT FAC RISK S
   Roder G, 2019, THESIS
   Sdao F, 2013, GEOGRAPHIC INFORMATION ANALYSIS FOR SUSTAINABLE DEVELOPMENT AND ECONOMIC PLANNING: NEW TECHNOLOGIES, P274, DOI 10.4018/978-1-4666-1924-1.ch019
   Serre D, 2018, J FLOOD RISK MANAG, V11, pS69, DOI 10.1111/jfr3.12253
   Siegrist M, 2008, RISK ANAL, V28, P771, DOI 10.1111/j.1539-6924.2008.01049.x
   Sörensen J, 2016, WATER-SUI, V8, DOI 10.3390/w8080332
   Turenscape A, 2019, RESILIENT LANDSCAPE
   Viero DP, 2019, SCI TOTAL ENVIRON, V651, P1435, DOI 10.1016/j.scitotenv.2018.09.121
NR 30
TC 11
Z9 12
U1 1
U2 26
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 AUG
PY 2020
VL 34
IS 10
BP 3411
EP 3424
DI 10.1007/s11269-020-02620-6
EA JUL 2020
PG 14
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA MQ6WR
UT WOS:000550627900001
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU Davidson, K
   Nguyen, TMP
   Beilin, R
   Briggs, J
AF Davidson, Kathryn
   Thi Minh Phuong Nguyen
   Beilin, Ruth
   Briggs, Jessie
TI The emerging addition of resilience as a component of sustainability in
   urban policy
SO CITIES
LA English
DT Article
DE Metropolitan plans; Urban resilience; Sustainability; Urban policy
ID CLIMATE-CHANGE; GOVERNANCE; RISK; MANAGEMENT; SYSTEMS; THINKING
AB The concept of resilience is progressively capturing the interest of scholars and practitioners in the field of urban policy. This increase in interest is directed towards the need for a better understanding of the conditions for effective and legitimate governance in a complex, interconnected, and volatile world fraught with a new class of poorly understood systematic risk. We are progressively observing resilience as a component of sustainability as the dominant organising frame in the field of urban planning. The application of the adapted Wilkinson (2011) framework, which we situate within a broader framework for evaluating metropolitan plans (Nguyen, Davidson & Gleeson, 2018), reveals the extent to which newly released metropolitan plans are incorporating strategies for social-ecological resilience. Our point is to offer an early assessment of the framing of social-ecological resilience within the embedded understanding of metropolitan planning practice. Our research has revealed that social-ecological resilience thinking has been incorporated only to a limited extent into metropolitan planning strategies worldwide, as demonstrated through the evaluation of our two sites-OneNYC and Plan Melbourne. We have argued that OneNYC incorporates the strategies of social-ecological resilience to a greater extent than Plan Melbourne, possibly pointing to a strengthening governing system by incorporating processes of social learning and adaptation. We conclude by acknowledging the critical insights into the limitations of the reality of implementing these ideas of social-ecological resilience within policy settings (see Duit, 2016), and which requires urgent consideration within a fuller institutional study that must in any case await the fuller roll-out of social-ecological resilience in sustainability agendas within city strategic planning.
C1 [Davidson, Kathryn] Univ Melbourne, Fac Architecture Bldg & Design, Melbourne, Vic, Australia.
   [Thi Minh Phuong Nguyen] Univ South Australia, Sch Art Architecture & Design, Discipline Urban & Reg Planning, Level 3,Kaurna Bldg,City West Campus, Adelaide, SA 5001, Australia.
   [Beilin, Ruth] Univ Melbourne, Level 1,Room G55,Baldwin Spencer Bldg, Parkville, Vic 3010, Australia.
   [Briggs, Jessie] Univ Melbourne, Melbourne Sch Design, Connected Cities Lab, Level 3,MSD Bldg 133,Mason Rd, Melbourne, Vic 3010, Australia.
C3 University of Melbourne; University of South Australia; University of
   Melbourne; University of Melbourne
RP Nguyen, TMP (corresponding author), Univ South Australia, Sch Art Architecture & Design, Discipline Urban & Reg Planning, Level 3,Kaurna Bldg,City West Campus, Adelaide, SA 5001, Australia.
EM davidson.k@unimelb.edu.au; thi_minh_phuong.nguyen@mymail.unisa.edu.au;
   rbeilin@unimelb.edu.au; jessie.briggs@unimelb.edu.au
RI ; Davidson, Kathryn/F-3769-2013
OI Nguyen, Thi Minh Phuong/0000-0003-3590-8695; Davidson,
   Kathryn/0000-0003-3521-3535
CR Aldrich D.P., 2012, Building Resilience: Social Capital in Post-Disaster Recovery, P1, DOI DOI 10.7208/CHICAGO/9780226012896.001.0001
   [Anonymous], J EC MANAGEMENT
   [Anonymous], 2015, Climate Changemakers: Action Playbook: Require Climate Education
   [Anonymous], BUILDING URBAN RESIL
   [Anonymous], SANDY ADV STRATEGIES
   [Anonymous], ANAL FRAMEWORK MILES
   [Anonymous], NEW YORK CIT POP PRO
   [Anonymous], MULTILEVEL GOVERNANC
   [Anonymous], AUSTR PLANNER
   [Anonymous], 2012, How To Make Cities More Resilient: A Handbook For Local Government Leaders
   [Anonymous], 8 UN HAB
   [Anonymous], KASETSART J SOCIAL S
   [Anonymous], LANDSCAPE ARCHITECTU
   [Anonymous], POLICY FORMULATION I
   [Anonymous], URBAN RESILIENCE
   [Anonymous], PLAN MELB REFR
   [Anonymous], TRENDS URB RES 2017
   [Anonymous], PROTECTING OUR COAST
   [Anonymous], LANDSCAPE ECOLOGY
   [Anonymous], 2003, NAVIGATING SOCIAL EC, DOI DOI 10.1017/CBO9780511541957
   [Anonymous], ECOLOGY SOC
   Arundel R, 2017, ENVIRON PLAN B-URBAN, V44, P33, DOI 10.1177/0265813515608640
   Bai XM, 2010, CURR OPIN ENV SUST, V2, P129, DOI 10.1016/j.cosust.2010.05.008
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Blackmore JM, 2008, J WATER RES PLAN MAN, V134, P224, DOI 10.1061/(ASCE)0733-9496(2008)134:3(224)
   Bowen GA, 2009, QUAL RES J, V9, P27, DOI 10.3316/QRJ0902027
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Broto VC, 2013, INT J URBAN REGIONAL, V37, P1934, DOI 10.1111/1468-2427.12050
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2007, GLOBAL ENVIRON POLIT, V7, P1, DOI 10.1162/glep.2007.7.2.1
   Bulkeley H, 2011, URB DEV SER, P125
   Burns D., 2004, Making Community Participation Meaningful. A Handbook for Development and Assessment
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Collier MJ, 2013, CITIES, V32, pS21, DOI 10.1016/j.cities.2013.03.010
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Duit A, 2016, PUBLIC ADMIN, V94, P364, DOI 10.1111/padm.12182
   Ferreira S, 2013, ECOL ECON, V88, P1, DOI 10.1016/j.ecolecon.2012.12.027
   Finco A., 2001, Journal of Environmental Policy and Planning, V3, P289, DOI [10.1002/jepp.94, DOI 10.1002/JEPP.94]
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   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-08748-210341
   Folke C, 2010, ECOL SOC, V15
   Gleeson B., 2004, Urban Policy and Research, V22, P345, DOI DOI 10.1080/0811114042000296290
   Goldstein BE, 2009, ECOL SOC, V14
   Hallsworth M., 2011, Policy Making in the Real World: Evidence and Analysis, P1
   Hammer S., 2011, Cities and green growth: a conceptual framework, DOI [10.1787/5kg0tflmzx34-en, DOI 10.1787/5KG0TFLMZX34-EN, 10.1787/20737009]
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Kelly JamieTerence., 2012, Framing Democracy: A Behavioral Approach to Democratic Theory
   Li Y, 2011, ECOL MODEL, V222, P1771, DOI 10.1016/j.ecolmodel.2011.03.001
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   McCann EJ, 2003, J URBAN AFF, V25, P159, DOI 10.1111/1467-9906.t01-1-00004
   McCarney P., 2011, CLIMATE CHANGE CITIE, P249
   Merk O., 2012, Financing Green Urban Infrastructure||
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   Misuraca G, 2013, GOV INFORM Q, V30, pS68, DOI 10.1016/j.giq.2012.07.011
   OECD, 2006, OECD TERR REV COMP C
   Olum Y, 2014, COMMONW J LOCAL GOV, P23, DOI 10.5130/cjlg.v0i0.4061
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pinson G, 2002, INT J URBAN REGIONAL, V26, P477, DOI 10.1111/1468-2427.00394
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   Punch K.F., 2013, INTRO SOCIAL RES QUA
   Reeder T., 2011, YOU ADAPT UNCERTAIN
   Sanchez AX, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0074-z
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   The City of New York, 2015, THESIS
   Nguyen TMP, 2018, INT J URBAN REGIONAL, V42, P934, DOI 10.1111/1468-2427.12662
   Waldron Jeremy., 2014, Accountability: Fundamental to Democracy
   Walker B., 2012, RESILIENCE PRACTICE
   Walliman N., 2011, RES METHODS BASICS
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   Wilkinson C., 2010, Critical Planning, P25
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Xu L, 2015, SUSTAIN SCI, V10, P123, DOI 10.1007/s11625-014-0274-4
   Yin R. K., 2014, CASE STUDY RES DESIG
   Zartman IW, 2005, INT NEGOT, V10, P3, DOI 10.1163/1571806054741137
NR 79
TC 39
Z9 43
U1 11
U2 104
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 SEP
PY 2019
VL 92
BP 1
EP 9
DI 10.1016/j.cities.2019.03.012
PG 9
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA IT5AF
UT WOS:000482870900001
DA 2025-04-22
ER

PT J
AU Wakefield, S
AF Wakefield, Stephanie
TI Urban resilience as critique: Problematizing infrastructure in
   post-Sandy New York City
SO POLITICAL GEOGRAPHY
LA English
DT Article
DE Urban resilience; Environmental risk; New York City; Hurricane Sandy;
   Problematization
ID SECURITY; POWER
AB Drawing on Foucaultian work on problematization, this paper explores the urban resilience paradigm which emerged in the wake of 2012's Hurricane Sandy, which dramatically disrupted New York City. Using discourse and media analysis, examination of government commissions and proposals, and site observation at panels and conferences, it argues that, rather than an ahistorical "thing," urban resilience was the name given to techniques resulting from a three-part process of problematization drawn together by media and government in the storm's aftermath. This process, I argue, was itself political, and included the identification of new problems to govern in the form of environmental and technical risks; the critique of modern urban governance techniques based on a city/nature separation and ideas of mastery and control as impediments to responding to these problems; and finally the overcoming of impediments via creative recalibration of government by redefining the social and ecological as interconnected infrastructure. The recalibrations produced within this three-part problematization, I show, were promoted by city government and local institutions as "urban resilience," which was presented as the unquestionable answer to Sandy's problems as they had been posed. I conclude by discussing what this problem-based case study helps us see about urban resilience, but also how it advances our understanding of the growing interest in problematization within geography, as well as implications it suggests for thinking the political in the Anthropocene.
C1 [Wakefield, Stephanie] Florida Int Univ, Sch Int & Profess Affairs, Dept Global & Sociocultural Studies, 11200 SW 8th St, Miami, FL 33199 USA.
C3 State University System of Florida; Florida International University
RP Wakefield, S (corresponding author), Florida Int Univ, Sch Int & Profess Affairs, Dept Global & Sociocultural Studies, 11200 SW 8th St, Miami, FL 33199 USA.
EM swakefie@fiu.edu
FU Urban Studies Foundation Postdoctoral Research Fellowship
FX This research was supported by an Urban Studies Foundation Postdoctoral
   Research Fellowship.
CR Adams R E., 2014, The burden of the present: On the concept of urbanisation
   ALEXAND ER, 1965, Architectural Forum, V122, P58
   Amin A, 2014, THEOR CULT SOC, V31, P137, DOI 10.1177/0263276414548490
   Amin A, 2013, ENVIRON PLANN D, V31, P140, DOI 10.1068/d23011
   Anderson B, 2015, POLITICS-OXFORD, V35, P60, DOI 10.1111/1467-9256.12079
   [Anonymous], FED REG
   [Anonymous], 2015, The Guardian
   [Anonymous], RES AG FILM
   [Anonymous], 2012, ATLANTIC CITY L 1101
   [Anonymous], LIVE SCI 1102
   [Anonymous], POSTS IN BUILD BETT
   [Anonymous], NATURE CITIES 0611
   [Anonymous], NATL GEOGRAPHIC
   [Anonymous], 2012, ATLANTIC CITY L 1109
   [Anonymous], MIT MEETS AD INT APP
   [Anonymous], METROFOCUS 0514
   [Anonymous], SAND ADV STRAT LONG
   [Anonymous], 2020, NY TIMES 0925
   [Anonymous], THESIS
   [Anonymous], EFF ADV FEMA 100 YEA
   [Anonymous], 2013, CLIM RISK INF 2013 O
   [Anonymous], MOVEMENT WERE BUILDI
   [Anonymous], 2011, A whole community approach to emergency management: Principles, themes, and pathways for action
   [Anonymous], HANDS DECK MOB NEW Y
   [Anonymous], 2015, GUARDIAN
   [Anonymous], QUEENS CHRONICL 0207
   [Anonymous], NATL GEOGRAPHIC
   [Anonymous], REC IMPR STRENGH RES
   [Anonymous], WALL STREET J
   [Anonymous], 2019, INFRASTRUCTURE ENV L
   [Anonymous], NY TIMES
   [Anonymous], COMMUNITY DEV BLOCK
   [Anonymous], LIV BREAKW
   [Anonymous], CON ED POSTS FORT PR
   [Anonymous], NY TIMES
   [Anonymous], 2001, SOCIAL NATURE THEORY
   [Anonymous], 2017, ASSEMBLING NEOLIBERA
   [Anonymous], PROM RES POSTS INN P
   [Anonymous], 2012, NY TIMES
   [Anonymous], SCAL IT ASB PARK
   [Anonymous], 2013, NEW YORKER
   [Anonymous], MEET READ GIRL
   [Anonymous], RISING SEAS NATL GEO
   [Anonymous], DNAINFO 1206
   [Anonymous], HURR SAND ACT REP
   [Anonymous], FREQ ASK QUEST FAQ 1
   [Anonymous], SI LIVE 0128
   [Anonymous], 1984, PROGR MAN BIOSPH REP
   [Anonymous], NYC HURRICANE SANDY
   [Anonymous], 2012, The New York Daily News
   [Anonymous], 2013, PlaNYC: A Stronger, More Resilient New York
   [Anonymous], 2007, NAT STRAT HOM SEC
   [Anonymous], NEW YORK DAILY NEWS
   [Anonymous], YALE ENV 360
   [Anonymous], COMMUNICATION 1206
   [Anonymous], NY TIMES
   [Anonymous], REBUILD DESIGNS ENDU
   [Anonymous], STRONGER SOCIAL INFR
   [Anonymous], SEL CIT
   [Anonymous], NEW YORK DAILY NEWS
   [Anonymous], DISCOVER
   [Anonymous], LIVING SANDY NEW YOR
   [Anonymous], NEXT CITY 0625
   [Anonymous], LIV BREAKW REB DES P
   [Anonymous], SCI AM 1031
   [Anonymous], INSIDECLIMATE NEWS
   [Anonymous], AM CATCH FIGHT LOCAL
   [Anonymous], COMMUNICATION 0611
   [Anonymous], SAND REG ASS REC AG
   [Anonymous], MICHAEL BLOOMBERG GR
   [Anonymous], NEW YORK DAILY NEWS
   [Anonymous], BUILD RES RASK FORC
   [Anonymous], NEW YORK CITY LIVING
   [Anonymous], CITYLAB 0729
   [Anonymous], URBAN RESILIENCE SUM
   [Anonymous], GUID APP
   Bacchi C., 2012, Open Journal of Political Science, V2, P1, DOI DOI 10.4236/OJPS.2012.21001
   Barnett C., 2015, On Problematization: Elaborations on a theme in "late Foucault."
   Barnett C., 2017, The priority of injustice: Locating democracy in critical theory
   Barnett C, 2016, INT J URBAN REGIONAL, V40, P1186, DOI 10.1111/1468-2427.12452
   Beckett K, 2008, THEOR CRIMINOL, V12, P5, DOI 10.1177/1362480607085792
   Belanger P., 2013, Landscape Infrastructure: Case Studies by SWA, V2nd, P20
   Belanger P., 2009, Landscape Journal, V28, P79, DOI 10.3368/lj.28.1.79
   Berkes F., 2000, Linking social and ecological systems: Management practices and social mechanisms for building resilience
   Bisker J., 2015, Rebuild by Design
   Bonanno GA, 2004, AM PSYCHOL, V59, P20, DOI 10.1037/0003-066X.59.1.20
   Boyle PJ, 2019, RESILIENCE-ABINGDON, V7, P59, DOI 10.1080/21693293.2018.1531476
   Brassett J, 2015, SECUR DIALOGUE, V46, P32, DOI 10.1177/0967010614555943
   Braun BP, 2014, ENVIRON PLANN D, V32, P49, DOI 10.1068/d4313
   Brown Stephen Rex, 2012, NEW YORK DAILY NEWS
   Bulkeley H, 2019, EUR URBAN REG STUD, V26, P317, DOI 10.1177/0969776418787222
   Callon M., 1980, SOCIAL PROCESS SCI I, VIV.
   Callon M, 2009, ACCOUNT ORG SOC, V34, P535, DOI 10.1016/j.aos.2008.04.003
   Chandler D., 2018, Ontopolitics in the Anthropocene: An Introduction to Mapping, Sensing and Hacking
   Chandler D., 2014, RESILIENCE GOVERNANC
   Chandler D., 2016, The neoliberal subject: resilience, adaptation and vulnerability
   Chattopadhyay Swati., 2012, UNLEARNING CITY INFR
   Collier S. J., 2016, LIMN
   Collier SJ, 2009, THEOR CULT SOC, V26, P78, DOI 10.1177/0263276409347694
   Collier StephenJ., 2008, SECURINGTHE HOMELAND, P17
   Copeland B., 2012, NY TIMES
   Coscarelli J., 2012, New York Magazine
   da Silva JMC, 2017, PERSPECT ECOL CONSER, V15, P32, DOI 10.1016/j.pecon.2016.11.005
   Dalby S, 2013, GEOFORUM, V49, P184, DOI 10.1016/j.geoforum.2013.06.013
   Davis Mike., 1998, Ecology of Fear: Los Angeles and the Imagination of Disaster
   Dawson Ashley., 2017, Extreme Cities: The Peril and Promise of Urban Life in the Age of Climate Change
   Deacon Roger., 2000, TELOS, V118, P127
   Depietri Y, 2018, CLIMATIC CHANGE, V148, P95, DOI 10.1007/s10584-018-2194-2
   Derickson KD, 2018, PROG HUM GEOG, V42, P425, DOI 10.1177/0309132516686012
   DHS, 2013, LESS LEARN SOC MED H
   Dillon MichaelJulian Reid., 2009, LIBERAL WAY WAR KILL
   Downes BJ, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014041
   Dubois B, 2016, J ENVIRON EDUC, V47, P255, DOI 10.1080/00958964.2016.1167004
   Evans Brad., 2014, RESILIENT LIFE ART L
   Evans J, 2016, GEOGR COMPASS, V10, P429, DOI 10.1111/gec3.12280
   Folke C., 2016, Resilience, V1, DOI DOI 10.1093/ACREFORE/9780199389414.013.8
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forman R., 1986, Landscape Ecology
   Foucault M, 2008, MICHEL FOUCAULT-LECT, P1, DOI 10.1057/9780230594180
   Foucault M., 1985, DISCOURSE TRUTH PROB
   Foucault M., 1980, POWERKNOWLEDGE, P78
   FOUCAULT Michel., 1986, USE PLEASURE HIST SE, V2
   Foucault Michel., 1972, Power/Knowledge: Selected interviews and other writings 1972-1977
   Foucault Michel., 1978, SECURITY TERRITORY P
   Foucault Michel, 1984, The Essential Foucault: Selections from Essential Works of Foucault, 1954-1984, P111
   Foucault Michel, 1984, The Foucault Reader, P51
   Foucault Michel., 2001, Fearless Speech
   Gandy Matthew., 2003, Concrete and Clay: Reworking Nature in New York City
   Graham S., 2009, DISRUPTED CITIES
   Graham S., 2006, The Nature of Cities, P234, DOI DOI 10.1016/J.ECOLECON.2004.01.010
   Grove Kevin., 2018, Resilience
   Gunderson Lance., 2009, Foundations of Ecological Resilience
   Hall Stuart., 1973, CCCS stencilled occasional paper no. 7
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jane J., 1961, DEATH LIFE GREAT AM
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Koopman Colin., 2013, GENEALOGY CRITIQUE F
   Latour B, 2018, EARTH POLITICS NEW C
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   McArdle A.L., 2014, Idaho Law Review, V50, P19
   McHarg I., 1992, DESIGN NATURE
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mitchell Timothy., 1991, Colonizing Egypt
   Neocleous M, 2013, RADICAL PHILOS, P2
   Osborne T, 2003, HIST HUM SCI, V16, P1, DOI 10.1177/0952695103164001
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Pickett Steward T. A., 2009, Urban Ecosystems, V12, P1, DOI 10.1007/s11252-008-0079-2
   Pirani Robert., 2014, Lessons from Sandy: Federal Policies to Build Climate-Resilient Coastal Regions
   Rabinow P, 2003, IN-FORMATION, P1
   Rabinow Paul., 2011, Foucault Studies, V11, P11, DOI DOI 10.22439/FS.V0I11.3202
   Reinhardt Uwe E., 2012, NY TIMES
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rodin Judith., 2014, RESILIENCE DIVIDEND
   Rogers P, 2019, RESILIENCE MACHINE, P125
   ROSE N, 1992, BRIT J SOCIOL, V43, P173, DOI 10.2307/591464
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Schlichting KurtC., 2018, WATERFRONT MANHATTAN
   Slater T., 2014, The resilience of neoliberal urbanism
   Smith N., 1996, FUTURENATURAL NATURE, P35
   Tierney K, 2015, AM BEHAV SCI, V59, P1327, DOI 10.1177/0002764215591187
   Tollefson J, 2013, NATURE
   Valverde M, 2011, THEOR CRIMINOL, V15, P3, DOI 10.1177/1362480610382569
   Vardy M, 2017, ENVIRON HUMANITIES, V9, P175, DOI 10.1215/22011919-3829199
   Wakefield S, 2020, ENVIRON PLAN E-NAT, V3, P761, DOI 10.1177/2514848619887461
   Wakefield S, 2019, GEOFORUM, V107, P34, DOI 10.1016/j.geoforum.2019.10.016
   Wakefield S, 2018, GEOGR COMPASS, V12, DOI 10.1111/gec3.12377
   Wakefield S, 2014, ENVIRON PLANN D, V32, P4, DOI 10.1068/d3201int
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2006, ECOL SOC, V11
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Watts MJ, 2013, ENVIRONMENTAL SECURITY: APPROACHES AND ISSUES, P82
   2007, PLANYC GREENER
NR 172
TC 24
Z9 25
U1 2
U2 82
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0962-6298
EI 1873-5096
J9 POLIT GEOGR
JI Polit. Geogr.
PD MAY
PY 2020
VL 79
AR 102148
DI 10.1016/j.polgeo.2020.102148
PG 12
WC Geography; Political Science
WE Social Science Citation Index (SSCI)
SC Geography; Government & Law
GA LO3FR
UT WOS:000533515000005
DA 2025-04-22
ER

PT J
AU Rogers, BC
   Bertram, N
   Gersonius, B
   Gunn, A
   Löwe, R
   Murphy, C
   Pasman, R
   Radhakrishnan, M
   Urich, C
   Wong, THF
   Arnbjerg-Nielsen, K
AF Rogers, B. C.
   Bertram, N.
   Gersonius, B.
   Gunn, A.
   Loewe, R.
   Murphy, C.
   Pasman, R.
   Radhakrishnan, M.
   Urich, C.
   Wong, T. H. F.
   Arnbjerg-Nielsen, K.
TI An interdisciplinary and catchment approach to enhancing urban flood
   resilience: a Melbourne case
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE climate change adaptation; community visioning; flood resilience;
   interdisciplinary research; strategy testing; urban intensification
ID CLIMATE-CHANGE ADAPTATION; RISK-MANAGEMENT; WATER; PARTICIPATION;
   SCIENCE; POLICY; CITY; GOVERNANCE; KNOWLEDGE; PATHWAYS
AB This paper presents a novel interdisciplinary and catchment-based approach for exploring urban flood resilience. Our research identified and developed a diverse set of adaptation measures for Elwood, a suburb in Melbourne, Australia, that is vulnerable to pluvial and coastal flooding. We drew on methods from social science, urban design and environmental engineering to gain integrated insights into the opportunities for Elwood to increase its flood resilience and urban liveability. Results showed that an appropriate balance of social, infrastructural and urban design responses would be required to retreat from, accommodate and protect against flood risk. These would also deliver broader benefits such as securing water supplies through harvested stormwater and mitigating extreme heat through greener landscapes. Our interdisciplinary approach demonstrated the value of (i) engaging with the community to understand their concerns, aspirations and adaptation ideas, (ii) exploring design measures that densify and use urban forms in ways that implement adaptation measures while responding to local context, (iii) adopting modelling techniques to test the performance, robustness and economic viability of possible adaptation solutions, and (iv) innovating governance arrangements and principles needed to improve flood resilience in the Elster Creek catchment. Our research also provided valuable insight on how to operationalize interdisciplinary work in practice, highlighting the importance of sharing an impact agenda, taking a place-based approach, developing a common conceptual framework, and fostering a constructive team culture.
   This article is part of the theme issue 'Urban flood resilience'.
C1 [Rogers, B. C.; Bertram, N.; Gersonius, B.; Gunn, A.; Loewe, R.; Murphy, C.; Pasman, R.; Radhakrishnan, M.; Urich, C.; Wong, T. H. F.; Arnbjerg-Nielsen, K.] Cooperat Res Ctr Water Sensit Cities, Melbourne, Vic, Australia.
   [Rogers, B. C.; Gunn, A.] Monash Univ, Sch Social Sci, Room 5418,Menzies Bldg,20 Chancellors Walk, Melbourne, Vic, Australia.
   [Urich, C.] Monash Univ, Dept Civil Engn, Melbourne, Vic, Australia.
   [Bertram, N.; Murphy, C.; Pasman, R.] Monash Univ, MADA, Melbourne, Vic, Australia.
   [Gersonius, B.; Radhakrishnan, M.] UNESCO IHE Inst Water Educ, Delft, Netherlands.
   [Loewe, R.; Arnbjerg-Nielsen, K.] Tech Univ Denmark DTU, Dept Environm Engn, Lyngby, Denmark.
C3 Cooperative Research Centre for Water Sensitive Cities (CRCWSC); Monash
   University; Monash University; Monash University; IHE Delft Institute
   for Water Education; Technical University of Denmark
RP Rogers, BC (corresponding author), Cooperat Res Ctr Water Sensit Cities, Melbourne, Vic, Australia.; Rogers, BC (corresponding author), Monash Univ, Sch Social Sci, Room 5418,Menzies Bldg,20 Chancellors Walk, Melbourne, Vic, Australia.
EM briony.rogers@monash.edu
RI Gersonius, Berry/C-7724-2009; Loewe, Roland/AAQ-2793-2020;
   Arnbjerg-Nielsen, Karsten/J-7792-2012
OI Arnbjerg-Nielsen, Karsten/0000-0002-6221-9505; Rogers,
   Briony/0000-0003-1780-127X; Lowe, Roland/0000-0002-5549-5456
FU Cooperative Research Centre for Water Sensitive Cities; Commonwealth of
   Australia through the Cooperative Research Centre program
FX The research was funded by the Cooperative Research Centre for Water
   Sensitive Cities. The support of the Commonwealth of Australia through
   the Cooperative Research Centre program is gratefully acknowledged.
CR 100 Resilient Cities, 100 RES CIT
   Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2015, TECH REP
   [Anonymous], 2017, Programme of Action for the Implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030 in Africa
   [Anonymous], 2007, AR4 CLIMATE CHANGE 2
   Australian Bureau of Statistics, 2017, EST PERS INC SMALL A
   Australian Bureau of Statistics, 2017, 2016 CENS QUICKSTATS
   Bergdoll Barry., 2011, RISING CURRENTS PROJ
   Bertram N., 2019, Time with Water: Design Studies of 3 Australian Cities, P41
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P512, DOI 10.1016/j.envsci.2007.02.007
   Bloemen P, 2018, MITIG ADAPT STRAT GL, V23, P1083, DOI 10.1007/s11027-017-9773-9
   BOER Florian., 2010, De Urbanisten and the Wondrous Water Square
   Brown RR, 2015, NATURE, V525, P315, DOI 10.1038/525315a
   Collins HM, 2002, SOC STUD SCI, V32, P235, DOI 10.1177/0306312702032002003
   Cook BR, 2013, SOC STUD SCI, V43, P754, DOI 10.1177/0306312713478670
   Cundill G, 2012, J ENVIRON MANAGE, V113, P7, DOI 10.1016/j.jenvman.2012.08.021
   Davidsen S, 2017, J HYDROINFORM, V19, P686, DOI 10.2166/hydro.2017.152
   Dawson RJ, 2011, GLOBAL ENVIRON CHANG, V21, P628, DOI 10.1016/j.gloenvcha.2011.01.013
   Di Baldassarre G, 2018, HYDROL EARTH SYST SC, V22, P5629, DOI 10.5194/hess-22-5629-2018
   Dunn G, 2017, URBAN WATER J, V14, P758, DOI 10.1080/1573062X.2016.1241284
   EEA. (European Environment Agency), 2016, URBAN SPRAWL EUROPE, P135
   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
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fraser M., 2013, DESIGN RES ARCHITECT
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Gilbert J, 1990, CLIMATE CHANGE: THE IPCC RESPONSE STRATEGIES, P129
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hallegatte Stephane., 2006, COST BENEFIT ANAL NE
   Huntjens P, 2012, GLOBAL ENVIRON CHANG, V22, P67, DOI 10.1016/j.gloenvcha.2011.09.015
   Iftekhar MS, 2017, REV NONMARKET VALUES
   Ison R, 2011, WATER RESOUR MANAG, V25, P3977, DOI 10.1007/s11269-011-9880-4
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   JOrgensen HK, 2015, SUSTAINABLE URBAN DR
   Klein RJT, 2001, J COASTAL RES, V17, P531
   Kleinert S, 2016, LANCET, V388, P2848, DOI 10.1016/S0140-6736(16)31578-1
   Klijn F, 2015, MITIG ADAPT STRAT GL, V20, P845, DOI 10.1007/s11027-015-9638-z
   Kreibich H, 2017, EARTHS FUTURE, V5, P953, DOI 10.1002/2017EF000606
   Kundzewicz ZW, 2002, WATER INT, V27, P3, DOI 10.1080/02508060208686972
   Lebel L., 2009, Contested waterscapes in the Mekong Region: hydropower, livelihoods and governance, P283
   Lebel L, 2006, ECOL SOC, V11
   Lochhead H, 2016, INT HIGH PERF BUILT
   Loorbach D, 2010, FUTURES, V42, P237, DOI 10.1016/j.futures.2009.11.009
   Löwe R, 2018, ENVIRON MODELL SOFTW, V102, P155, DOI 10.1016/j.envsoft.2018.01.008
   Löwe R, 2017, J HYDROL, V550, P355, DOI 10.1016/j.jhydrol.2017.05.009
   Mathur Anuradha., 2014, DESIGN TERRAIN WATER
   McEwen L, 2012, HYDROL RES, V43, P675, DOI 10.2166/nh.2012.022
   Nakao H, 2016, MONASH STEPS STAWELL
   Nelson M, 2007, CITYSCAPE, V9, P23
   Newman R, 2011, P I CIVIL ENG-ENG SU, V164, P95, DOI 10.1680/ensu.1000032
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   OECD, 2016, OECD REP SER, P15
   Olesen L., 2017, Flood damage assessment - Literature review and recommended procedure
   Olsen AS, 2015, WATER-SUI, V7, P255, DOI 10.3390/w7010255
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Perrings C, 2011, SCIENCE, V331, P1139, DOI 10.1126/science.1202400
   Quist J, 2011, TECHNOL FORECAST SOC, V78, P883, DOI 10.1016/j.techfore.2011.01.011
   Radhakrishnan M, 2019, P I CIVIL ENG-ENG SU, V172, P393, DOI 10.1680/jensu.17.00033
   Radhakrishnan M, 2017, WATER-SUI, V9, DOI 10.3390/w9020129
   Rip A, 2006, REFLEXIVE GOVERNANCE FOR SUSTAINABLE DEVELOPMENT, P82
   Rogers BC, 2015, WATER SENSITIVE ELWO
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Sallis JF, 2016, LANCET, V388, P2936, DOI 10.1016/S0140-6736(16)30068-X
   Sayers PB, 2018, NATL ANAL TOOLSET SU
   Scott M, 2013, PLAN THEORY PRACT, V14, P103, DOI 10.1080/14649357.2012.761904
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P537, DOI 10.1016/j.envsci.2007.01.012
   The Economist Intelligence Unit, GLOB LIV IND
   Urich C, 2014, WATER SCI TECHNOL, V70, P1857, DOI 10.2166/wst.2014.363
   van de Kerkhof M, 2005, TECHNOL FORECAST SOC, V72, P733, DOI 10.1016/j.techfore.2004.10.002
   Wehn U, 2015, ENVIRON SCI POLICY, V48, P225, DOI 10.1016/j.envsci.2014.12.017
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wong THF, 2009, WATER SCI TECHNOL, V60, P673, DOI 10.2166/wst.2009.436
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
   Zischg J, 2019, SCI TOTAL ENVIRON, V651, P1709, DOI 10.1016/j.scitotenv.2018.10.061
NR 79
TC 25
Z9 27
U1 6
U2 51
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 20190201
DI 10.1098/rsta.2019.0201
PG 25
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA KO6JB
UT WOS:000515653700005
PM 32063172
OA Green Published, hybrid, Green Submitted
DA 2025-04-22
ER

PT J
AU Oliveira, B
   Fath, BD
AF Oliveira, Bruno
   Fath, Brian D.
TI Comparative Resilience Evaluation-Case Study for Six Cities in China,
   Europe, and the Americas
SO LAND
LA English
DT Article
DE resilience; cities; indicators; climate change; urban resilience
ID URBAN RESILIENCE; SUSTAINABILITY; CULTURE; INDEX
AB The historical development of the urban realm has brought marvelous benefits to humankind, which has profited from the infrastructure, services, and social networks provided by cities. Nonetheless, considering current and future risks, understanding how cities can absorb impacts and reorganize their structure while keeping their identities is fundamental and timely. In other words, understanding how to promote resilience is crucial. This study developed a comparative urban resilience index (CURI) formed by 29 indicators and applied it to case studies in Europe, China, and the Americas (Malmo, Vienna, Beijing, Shanghai, Baltimore, and Sao Paulo). An innovative identity dimension was built to embrace the cultural traits of studied cities. Results point to a systemic property of CURI when comparing cities in both timeframes (2000 and 2020). In addition, two groups were formed: Malmo, Beijing, and Baltimore increased their resilience due to higher performance in at least two dimensions; Shanghai, Vienna, and Sao Paulo decreased their resilience due to lower performance in at least three dimensions. Ranking the data in terms of the benchmark promoted a quick understanding of which city is the "best in class" for each dimension, creating a clear way forward for other cities to follow.
C1 [Oliveira, Bruno; Fath, Brian D.] Int Inst Appl Syst Anal, Adv Syst Anal, A-2361 Laxenburg, Austria.
   [Fath, Brian D.] Towson Univ, Dept Biol Sci, Towson, MD 21252 USA.
   [Fath, Brian D.] Masaryk Univ, Dept Environm Studies, Brno 60177, Czech Republic.
C3 International Institute for Applied Systems Analysis (IIASA); University
   System of Maryland; Towson University; Masaryk University Brno
RP Fath, BD (corresponding author), Int Inst Appl Syst Anal, Adv Syst Anal, A-2361 Laxenburg, Austria.; Fath, BD (corresponding author), Towson Univ, Dept Biol Sci, Towson, MD 21252 USA.; Fath, BD (corresponding author), Masaryk Univ, Dept Environm Studies, Brno 60177, Czech Republic.
EM oliveira@iiasa.ac.at; bfath@towson.edu
RI Oliveira, Bruno/IUM-9359-2023; Meirelles de Oliveira, Bruno/D-8539-2016
OI Fath, Brian D./0000-0001-9440-6842; Meirelles de Oliveira,
   Bruno/0000-0002-5725-4832
CR Alexander C., 2002, The Nature of Order: An Essay on the Art of Building and the Nature of the Universe
   [Anonymous], 2012, LANCET, V379, P777
   [Anonymous], 2019, Click here for more information about KomPass
   Barreiro J, 2021, CIV ENG J-TEHRAN, V7, P197, DOI 10.28991/cej-2021-03091647
   Beck U., 2014, ESSENTIAL CONCEPTS G
   Bina V., ESSNET CULTURE EUROP
   BMC, 2022, UPD MDOT PROJ CAT ME
   Bottero M, 2020, LAND-BASEL, V9, DOI 10.3390/land9080242
   Brand FS, 2007, ECOL SOC, V12
   Bremner J, 2010, POPUL BULL, V65, P2
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Calhoun Craig., 1994, SOCIAL THEORY POLITI
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen KF, 2019, WATER-SUI, V11, DOI 10.3390/w11040830
   Chen XS, 2021, NAT HAZARDS, V106, P829, DOI 10.1007/s11069-020-04493-9
   Cobb CW., 1928, American Economic Review, V18, P139
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   Cristiano S, 2020, FRONT SUSTAIN CITIES, V2, DOI 10.3389/frsc.2020.00012
   Cumming GS, 2005, ECOL SOC, V10
   Dietz S, 2007, ECOL ECON, V61, P617, DOI 10.1016/j.ecolecon.2006.09.007
   Duxbury N, 2015, NEW DIRECT CULT POL, P145
   Feldmeyer D, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106861
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-09088-210444
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Forrester J. W., 1961, IND DYNAMICS
   Fu Xin, 2018, Environment Systems & Decisions, V38, P367, DOI 10.1007/s10669-018-9693-6
   Gassner A, 2018, LAND USE POLICY, V72, P85, DOI 10.1016/j.landusepol.2017.12.012
   Geertz Clifford, 1973, INTERPRETATION CULTU
   Haghani M, 2023, CITIES, V136, DOI 10.1016/j.cities.2023.104261
   Heenetigala U., 2021, WATER WISE CITIES SU, P201
   Hochrainer-Stigler S, 2020, J ENVIRON MANAGE, V276, DOI 10.1016/j.jenvman.2020.111332
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Ilmola L, 2016, ADV SCI TECH SEC APP, P207, DOI 10.1007/978-3-319-39812-9_11
   Kazepov Y., 2021, Vienna: Still a just city?
   Khomenko S, 2020, ENVIRON RES, V183, DOI 10.1016/j.envres.2020.109238
   Kutty AA, 2022, J CLEAN PROD, V378, DOI 10.1016/j.jclepro.2022.134203
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Liu LN, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134400
   Ortega-Villa LM, 2018, SOC INDIC RES, V137, P413, DOI 10.1007/s11205-017-1588-2
   Martínez JG, 2007, URBAN STUD, V44, P2449, DOI 10.1080/00420980701540879
   Marusic BG, 2023, ENVIRON SCI POLICY, V146, P47, DOI 10.1016/j.envsci.2023.05.005
   Masnavi MR, 2019, INT J ENVIRON SCI TE, V16, P567, DOI 10.1007/s13762-018-1860-2
   Mi ZF, 2019, J CLEAN PROD, V207, P582, DOI 10.1016/j.jclepro.2018.10.034
   Mohr JW, 2020, MEASURING CULTURE, P21
   Montalto V, 2019, CITIES, V89, P167, DOI 10.1016/j.cities.2019.01.014
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Oliveira BM, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109113
   Population Reference Bureau, 2020, World Population Data Sheet
   Rana R., 2007, URBAN CRISIS CULTURE
   Rizzo I., 2006, Handbook of the economics of art and culture, V1, P983, DOI [DOI 10.1016/S1574-0676(06)01028-3, 10.1016/S1574-0676(06)01028-3]
   Schlosberg David., 2007, DEFINING ENV JUSTICE, DOI [10.1093/acprof:oso/9780199286294.001.0001, DOI 10.1093/ACPROF:OSO/9780199286294.001.0001]
   Schott ABS, 2013, SPRINGERBR APPL SCI, P1, DOI 10.1007/978-1-4471-6263-6
   Shao YH, 2020, LAND-BASEL, V9, DOI 10.3390/land9090298
   Spears R, 2011, HANDBOOK OF IDENTITY THEORY AND RESEARCH, VOLS 1 AND 2, P201, DOI 10.1007/978-1-4419-7988-9_9
   Sterman JD, 2002, SYST DYNAM REV, V18, P501, DOI 10.1002/sdr.261
   Stone-Jovicich S, 2015, ECOL SOC, V20, DOI 10.5751/ES-07347-200225
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Unger JB, 2011, HANDBOOK OF IDENTITY THEORY AND RESEARCH, VOLS 1 AND 2, P811, DOI 10.1007/978-1-4419-7988-9_34
   Union E., 2008, Handbook on constructing composite indicators: methodology and user guide
   Varis O, 2019, EARTHS FUTURE, V7, P1118, DOI 10.1029/2019EF001239
   Walker B, 2004, ECOL SOC, V9
   Wang L, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104048
   Wang L, 2018, ADV CIV ENG, V2018, DOI 10.1155/2018/2073968
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   Wiley Nobert., 1994, Social Theory and the Politics of Identity, P130
   Yip WCM, 2012, LANCET, V379, P833, DOI 10.1016/S0140-6736(11)61880-1
   Young AF, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101219
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
   Zhou SD, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17218040
   Ziyaee M, 2018, CITIES, V74, P21, DOI 10.1016/j.cities.2017.10.021
NR 71
TC 2
Z9 2
U1 3
U2 27
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUN
PY 2023
VL 12
IS 6
AR 1182
DI 10.3390/land12061182
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA K2EP3
UT WOS:001014627100001
OA gold
DA 2025-04-22
ER

PT J
AU Oza, HH
   Nanavati, A
   Clasen, T
   Salinger, AP
   Freeman, MC
   Sinharoy, SS
AF Oza, Hemali H.
   Nanavati, Anuj
   Clasen, Thomas
   Salinger, Allison P.
   Freeman, Matthew C.
   Sinharoy, Sheela S.
TI A critical review on measurement tools of urban household and community
   resilience to disasters and environmental shocks and stressors among
   low- and middle-income countries: Theory, application, and guidance
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Resilience; Shocks; Stressors; Low; and middle-income countries; Urban
   household; Measurement framework
ID FOOD SECURITY; ADAPTATION; CAPACITY; INDEX
AB With increasingly severe weather events compounded with additional disasters, environmental shocks and stressors, and socio-economic challenges, there is a growing sense of urgency to build resilience, resulting in the need for assessment tools. We conducted a review of empirical studies that measured household and community resilience to environmental shocks and stressors among urban populations in low- and middle-income countries. This review was conducted to 1) understand how empirical studies measure resilience, 2) identify gaps in current practices, and 3) provide theory-informed recommendations to bridge gaps. Our review included 28 studies of which 25 measured community level resilience and three measured household-level resilience. The studies measured resilience against climate change, disease outbreaks, earthquakes, floods, food insecurity, and disasters. The 751 extracted measures from these studies focused on social (45 %), environmental (34 %), and economic (21 %) domains of resilience. Our review revealed that assessment tools often erroneously use measures of vulnerability (example: age distribution, frequency of shocks/stressor) to assess resilience and sub-domains are inconsistently used to characterize resilience across existing measures. Furthermore, capacity measures (i.e., adaptive, absorptive, and transformative) that reflect the dynamic nature of resilience are inconsistently used. We provide guidance on filling these gaps by 1) informing the development of measures, 2) providing an adapted measurement framework for urban household-level resilience against disasters and environmental shocks and stressors for use in LMICs, and 3) making recommendations for how to contextualize the framework.
C1 [Oza, Hemali H.; Nanavati, Anuj; Clasen, Thomas; Freeman, Matthew C.] Emory Univ, Rollins Sch Publ Hlth, Gangarosa Dept Environm Hlth, Atlanta, GA 30322 USA.
   [Salinger, Allison P.; Sinharoy, Sheela S.] Emory Univ, Rollins Sch Publ Hlth, Hubert Dept Global Hlth, Atlanta, GA USA.
C3 Emory University; Rollins School Public Health; Emory University;
   Rollins School Public Health
RP Oza, HH (corresponding author), Emory Univ, Rollins Sch Publ Hlth, Gangarosa Dept Environm Hlth, Atlanta, GA 30322 USA.
EM hoza@emory.edu
RI Oza, Hemali/JMB-1516-2023
OI Oza, Hemali/0000-0002-5432-3919
FU National Institute of Environmental Health Sciences, USA
   [5T32ES12870-17]; Wellcome Trust [205222/Z/16/Z]; New Zealand Ministry
   of Foreign Affairs and Trade; NIGMS NIH HHS/United States [K12
   GM000680/GM]; Revitalizing Informal Settlements and their Environments
   (RISE) study; Australian Department of Foreign Affairs and Trade; Asian
   Development Bank; Government of Fiji; City of Makassar and Monash
   University; Cooperative Research Centre for Water Sensitive Cities; Fiji
   National University; Hasanuddin University; Southeast Water; Melbourne
   Water; Live and Learn Environmental Education; UN-Habitat; UNU-IIGH;
   WaterAid International; Oxfam
FX Hemali Oza was supported in part by a grant from the National Institute
   of Environmental Health Sciences, USA (5T32ES12870-17) , K12
   GM000680/GM/NIGMS NIH HHS/United States, and in part by the Revitalizing
   Informal Settlements and their Environments (RISE) study. The RISE
   program is funded by the Wellcome Trust (OPOH grant 205222/Z/16/Z) , the
   New Zealand Ministry of Foreign Affairs and Trade, the Australian
   Department of Foreign Affairs and Trade, the Asian Development Bank, the
   Government of Fiji, the City of Makassar and Monash University, and
   involves partnerships and in-kind contributions from the Cooperative
   Research Centre for Water Sensitive Cities, Fiji National University,
   Hasanuddin University, Southeast Water, Melbourne Water, Live and Learn
   Environmental Education, UN-Habitat, UNU-IIGH, WaterAid International,
   and Oxfam.
CR Aad G, 2010, PHYS LETT B, V688, P21, DOI 10.1016/j.physletb.2010.03.064
   Aksha SK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17061985
   [Anonymous], NAVIGATING SOCIAL EC, DOI DOI 10.1017/CBO9780511541957
   [Anonymous], 2021, Breast cancer: World Health Organization Internet
   Arbon P., HOW do we measure and build resilience against disaster in communities and households?
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Barrett CB, 2021, WORLD DEV, V146, DOI 10.1016/j.worlddev.2021.105612
   Batica J., 2014, INT C HYDR HIC 2014
   Bene C., 2012, 405 IDS, V2012, DOI [10.1111/j.2040-0209.2012.00405.x, DOI 10.1111/J.2040-0209.2012.00405.X]
   Béné C, 2016, FOOD SECUR, V8, P123, DOI 10.1007/s12571-015-0526-x
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Cai H., 2018, A Synthesis of Disaster Resilience Measurement Methods and Indices, DOI [10.1016/j.ijdrr.2018.07.015, DOI 10.1016/J.IJDRR.2018.07.015]
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Charoenkit S, 2017, MITIG ADAPT STRAT GL, V22, P695, DOI 10.1007/s11027-015-9694-4
   Chen Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062401
   Cimellaro GP, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001514
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cui P, 2019, SOC SCI QUART, V100, P2059, DOI 10.1111/ssqu.12699
   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
   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
   d'Errico M, 2018, FOOD SECUR, V10, P1033, DOI 10.1007/s12571-018-0820-5
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Derakhshan S, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0275975
   Dewi SP, 2021, IOP C SER EARTH ENV, V623, DOI 10.1088/1755-1315/623/1/012067
   Eltinay N, 2019, INT J DISASTER RESIL, V10, P222, DOI 10.1108/IJDRBE-05-2019-0028
   Frankenberger T., 2013, Community Resilience: Conceptual Framework and Measurement Feed the Future Learning Agenda
   Gaisie E, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102292
   Grant MJ, 2009, HEALTH INFO LIBR J, V26, P91, DOI 10.1111/j.1471-1842.2009.00848.x
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Javadpoor M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102609
   Joerin J, 2014, DISASTERS, V38, P540, DOI 10.1111/disa.12058
   Kabir MH, 2018, PROCEDIA ENGINEER, V212, P1107, DOI 10.1016/j.proeng.2018.01.143
   Kamh YZ, 2016, PROCD SOC BEHV, V216, P503, DOI 10.1016/j.sbspro.2015.12.007
   Karn M, 2021, NAT CLIM CHANGE, V11, P796, DOI 10.1038/s41558-021-01164-w
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Lefebvre C, 2023, Cochrane Handbook for Systematic Reviews of Interventions Version 6.4, DOI [10.4073/cmg.2016.1, DOI 10.4073/CMG.2016.1]
   Li XL, 2016, INT J DISAST RISK SC, V7, P393, DOI 10.1007/s13753-016-0109-2
   Mavhura E, 2021, INT J DISAST RISK RE, V57, DOI 10.1016/j.ijdrr.2021.102152
   McCarthy JJ, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P1
   Menéndez P, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61136-6
   Mercy Corps, Pathway to Possibility Resilience Framework The Context: Conflict, Climate Change, and a Call to Action, P10
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Molavi M, 2018, TEMA, V11, P195, DOI 10.6092/1970-9870/5485
   Moradi A, 2021, INT J ENVIRON SCI TE, V18, P2441, DOI 10.1007/s13762-021-03377-0
   Nafishoh Q, 2017, AIP CONF PROC, V1857, DOI 10.1063/1.4987116
   National Academies of Sciences E and M, Building and Measuring Community Resilience, DOI [10.17226/25383, DOI 10.17226/25383]
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson DR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094011
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ostadtaghizadeh Abbas, 2015, PLoS Curr, V7, DOI 10.1371/currents.dis.f224ef8efbdfcf1d508dd0de4d8210ed
   OXFAM, 2017, The future is a choice absorb, adapt, transform resilience capacites
   Prashar S, 2012, NAT HAZARDS, V64, P1609, DOI 10.1007/s11069-012-0320-4
   Proag V, 2014, PROC ECON FINANC, V18, P369, DOI 10.1016/S2212-5671(14)00952-6
   Qin WM, 2017, NAT HAZARDS, V89, P331, DOI 10.1007/s11069-017-2967-3
   Razafindrabe BHN, 2015, ENVIRON HAZARDS-UK, V14, P16, DOI 10.1080/17477891.2014.981497
   Resilience Alliance, 2010, Assessing resilience in social-ecological systems: workbook for practitioners revised version 2.0
   Sagara B., 2018, RESILIENCE MEASUREME
   Sanne JM, 2021, J RISK RES, V24, P1652, DOI 10.1080/13669877.2021.1913632
   Serfilippi E, 2018, ANN PUBLIC COOP ECON, V89, P645, DOI 10.1111/apce.12202
   Shaw R., 2009, Asian Journal of Environment and Disaster Management, V1
   Skondras NA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229306
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith LC, 2018, WORLD DEV, V102, P358, DOI 10.1016/j.worlddev.2017.07.003
   Song JL, 2017, WATER-SUI, V9, DOI 10.3390/w9080619
   Su QM, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19158911
   Surtiari G.A.K., 2017, Culture and Community Resilience to Flooding: Case Study of the Urban Coastal Community in Jakarta
   Thoban MI, 2020, E3S WEB CONF, V200, DOI 10.1051/e3sconf/202020001007
   United Nations Human Settlements Programme (UN-Habitat), 2018, Make cities and human settlements inclusive, safe, resilient and sustainable, DOI [10.18356/36ff830e-en, DOI 10.18356/36FF830E-EN]
   Walker B., 2004, Ecology and Society, V9, P5
   Wang YC, 2018, J URBAN MANAG, V7, P141, DOI 10.1016/j.jum.2018.11.004
   Windle G, 2011, HEALTH QUAL LIFE OUT, V9, DOI 10.1186/1477-7525-9-8
   World Bank, 2020, World Bank country and lending groups-World Bank data help desk, DOI DOI 10.1596/36370
   Xu WP, 2020, WATER-SUI, V12, DOI 10.3390/w12102784
   Yu W., Storing water: a new integrated approach for resilient development about GWP
NR 78
TC 1
Z9 1
U1 3
U2 3
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 2025
VL 118
AR 105267
DI 10.1016/j.ijdrr.2025.105267
EA FEB 2025
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 X1E4B
UT WOS:001422864400001
DA 2025-04-22
ER

PT J
AU Yan, JL
AF Yan, Jiale
TI Assessing the link between digital government development and urban
   industrial chain resilience: Evidence from public data openness
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Public data openness; Digital government; Urban industrial chain
   resilience; Difference-in-differences model
ID IMPLEMENTATION; INNOVATION; FRAMEWORK
AB Nowadays, the trend of anti-globalization is becoming increasingly obvious, which poses a huge challenge to China industrial chain. At the same time, the Chinese government launched a lot of policies related to the digital economy and data elements to promote the industry chain development. Based on the data of 278 cities in China from 2012 to 2021, we use the public data openness platform as a quasi-natural experiment and use a difference- in-differences model to examine the impact of public data openness on the urban industrial chain resilience. The findings of this paper are as follows. First, public data openness significantly improves the urban industrial chain resilience. After a series of robustness tests, the conclusion remains valid. Second, the mechanism test shows that the public data openness mainly improves the urban industrial chain resilience by improving the efficiency of government governance and enhancing the vitality of innovation and entrepreneurship. And after the level of innovation and entrepreneurship vitality breaks through the critical value, the role of promotion will become more significant. Third, the promotion of public data openness is more obvious in cities with higher human and material capital. This paper has important policy implications for further promoting public data openness and improving the urban industrial chain resilience.
C1 [Yan, Jiale] Univ Calif Berkeley, Coll Letters & Sci, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley
RP Yan, JL (corresponding author), Univ Calif Berkeley, Coll Letters & Sci, Berkeley, CA 94720 USA.
EM morningyjl@berkeley.edu
RI Yan, Jiale/AIF-4021-2022
CR Ansari B, 2022, GOV INFORM Q, V39, DOI 10.1016/j.giq.2021.101657
   Bag S, 2023, INT J LOGIST MANAG, V34, P1141, DOI 10.1108/IJLM-02-2021-0095
   Bai JZ, 2004, PHYS REV D, V70, DOI 10.1103/PhysRevD.70.012004
   Batabyal A.A., 1998, ENVIRONEMENT DEV EC, V3, P235, DOI DOI 10.1017/S1355770X98230129
   Belhadi A, 2022, INT J PROD ECON, V249, DOI 10.1016/j.ijpe.2022.108516
   Birkie SE, 2017, SUPPLY CHAIN MANAG, V22, P506, DOI 10.1108/SCM-01-2017-0009
   Blackburn M, 2017, RES TECHNOL MANAGE, V60, P43, DOI 10.1080/08956308.2017.1348135
   Conz E, 2023, SMALL BUS ECON, V61, P957, DOI 10.1007/s11187-022-00718-2
   Dahmen P, 2023, RISK MANAG INSUR REV, V26, P203, DOI 10.1111/rmir.12245
   Dong CQ, 2023, SYSTEMS-BASEL, V11, DOI 10.3390/systems11040212
   Dubey R, 2023, INT J PROD ECON, V258, DOI 10.1016/j.ijpe.2023.108790
   Erol O, 2010, ENTERP INF SYST-UK, V4, P111, DOI 10.1080/17517570903474304
   Fang J., 2023, Manag. World
   Fast V, 2023, J INF TECHNOL-UK, V38, P202, DOI 10.1177/02683962221114394
   Fischer B, 2024, TECHNOL FORECAST SOC, V201, DOI 10.1016/j.techfore.2024.123245
   Gong YW, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2020.101487
   Islam MT, 2024, INT BUS REV, V33, DOI 10.1016/j.ibusrev.2023.102248
   Janowski T, 2018, GOV INFORM Q, V35, pS1, DOI 10.1016/j.giq.2018.09.002
   Jetzek T, 2014, J THEOR APPL EL COMM, V9, P100, DOI 10.4067/S0718-18762014000200008
   Ju C, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-05712-0
   Kamble SS, 2022, TECHNOL FORECAST SOC, V176, DOI 10.1016/j.techfore.2021.121448
   Kliestik T, 2023, MATHEMATICS-BASEL, V11, DOI 10.3390/math11030601
   Li CM, 2023, J CLEAN PROD, V427, DOI 10.1016/j.jclepro.2023.139183
   Li JL, 2023, ENVIRON IMPACT ASSES, V103, DOI 10.1016/j.eiar.2023.107217
   Lin BQ, 2024, ENVIRON IMPACT ASSES, V105, DOI 10.1016/j.eiar.2023.107373
   Liu MR, 2024, SUSTAIN CITIES SOC, V105, DOI 10.1016/j.scs.2024.105337
   Lnenicka M, 2024, GOV INFORM Q, V41, DOI 10.1016/j.giq.2023.101898
   Lu TY, 2024, ENERGIES, V17, DOI 10.3390/en17102301
   Luo Y, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313495
   Lyu Y, 2023, ENVIRON IMPACT ASSES, V103, DOI 10.1016/j.eiar.2023.107243
   Magalhaes G, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2017.08.004
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Matyushok V, 2021, ECON RES-EKON ISTRAZ, V34, P1471, DOI 10.1080/1331677X.2020.1844030
   Narassima MS, 2024, SUPPLY CHAIN MANAG, V29, P221, DOI 10.1108/SCM-05-2023-0218
   Pal R, 2014, INT J PROD ECON, V147, P410, DOI 10.1016/j.ijpe.2013.02.031
   Pentland A., 2023, Digital, V3, P146, DOI 10.3390/digital3030011
   Proag V, 2014, PROC ECON FINANC, V18, P369, DOI 10.1016/S2212-5671(14)00952-6
   Rai SS, 2021, ENVIRON DEV SUSTAIN, V23, P12006, DOI 10.1007/s10668-020-01154-6
   Reynolds P, 2005, SMALL BUS ECON, V24, P205, DOI 10.1007/s11187-005-1980-1
   Rukanova B, 2023, GOV INFORM Q, V40, DOI 10.1016/j.giq.2022.101786
   Sanchis R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041464
   Santa-Maria T, 2022, BUS STRATEG ENVIRON, V31, P1308, DOI 10.1002/bse.2956
   Serrano W, 2018, SMART CITIES-BASEL, V1, P134, DOI 10.3390/smartcities1010008
   Tan L, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15139867
   Teece DJ, 2018, RES POLICY, V47, P1367, DOI 10.1016/j.respol.2017.01.015
   Tian J., 2023, J. Innov. Dev, V2, P70, DOI [10.54097/jid.v2i3.7279, DOI 10.54097/JID.V2I3.7279]
   Wang HS, 2022, ENVIRON IMPACT ASSES, V93, DOI 10.1016/j.eiar.2021.106725
   Weerakkody V, 2017, INFORM SYST FRONT, V19, P285, DOI 10.1007/s10796-016-9679-1
   Wei XH, 2024, ENVIRON IMPACT ASSES, V108, DOI 10.1016/j.eiar.2024.107576
   Wong CWY, 2020, INT J PROD ECON, V226, DOI 10.1016/j.ijpe.2019.107610
   Yan JL, 2025, CORP SOC RESP ENV MA, V32, P718, DOI 10.1002/csr.2987
   Yang J, 2024, ENVIRON RES, V240, DOI 10.1016/j.envres.2023.117442
   Yu G, 2023, ANN OPER RES, V326, P31, DOI 10.1007/s10479-021-04325-4
   Zahoor N, 2023, MANAGE INT REV, V63, P823, DOI 10.1007/s11575-023-00522-4
   [张晨 Zhang Chen], 2023, [中国软科学, China Soft Science], P1
   Zhang KJ, 2013, PROCEEDINGS OF THE 9TH EURO-ASIA CONFERENCE ON ENVIRONMENT AND CSR: TOURISM, SOCIETY AND EDUCATION SESSION (PT I), P92
   Zhang ZH, 2024, TECHNOL FORECAST SOC, V208, DOI 10.1016/j.techfore.2024.123712
   Zhang ZH, 2024, ENERG ECON, V136, DOI 10.1016/j.eneco.2024.107743
   Zuiderwijk A, 2014, GOV INFORM Q, V31, P17, DOI 10.1016/j.giq.2013.04.003
NR 59
TC 1
Z9 1
U1 83
U2 83
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 MAR
PY 2025
VL 112
AR 107796
DI 10.1016/j.eiar.2024.107796
EA DEC 2024
PG 10
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA U5F0A
UT WOS:001412037900001
OA hybrid
DA 2025-04-22
ER

PT J
AU Ahern, J
AF Ahern, Jack
TI From fail-safe to safe-to-fail: Sustainability and
   resilience in the new urban world
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Non-equilibrium; Sustainability; Resilience; Adaptive planning and
   design
ID LANDSCAPE ECOLOGY; SCIENCE
AB The extent to which the 21st century world will be "sustainable" depends in large part on the sustainability of cities. Early ideas on implementing sustainability focused on concepts of achieving stability, practicing effective management and the control of change and growth - a "fail-safe" mentality. More recent thinking about change, disturbance, uncertainty, and adaptability is fundamental to the emerging science of resilience, the capacity of systems to reorganize and recover from change and disturbance without changing to other states - in other words, systems that are "safe to fail." While the concept of resilience is intellectually intriguing, it remains largely unpracticed in contemporary urban planning and design. This essay discusses the theory of resilience as it applies to urban conditions, and offers a suite of strategies intended to build urban resilience capacity: multifunctionality, redundancy and modularization, (bio and social) diversity, multi-scale networks and connectivity, and adaptive planning and design. The strategies are discussed in the context of resilience theory and sustainability science, and are illustrated with innovative policies, projects, and programs selected from international examples. (C) 2011 Elsevier B.V. All rights reserved.
C1 Univ Massachusetts, Dept Landscape Architecture & Reg Planning, Amherst, MA USA.
C3 University of Massachusetts System; University of Massachusetts Amherst
RP Ahern, J (corresponding author), Univ Massachusetts, Dept Landscape Architecture & Reg Planning, Amherst, MA USA.
EM jfa@larp.umass.edu
RI Ahern, Jack/JUV-2655-2023
CR Ahern Jack., 2010, WATER CENTRIC SUSTAI, P135, DOI 10.1002/9780470949962.ch3
   Botkin Daniel., 1990, Discordant Harmonies: A New Ecology for the Twenty-First Century
   Clark WC, 2003, P NATL ACAD SCI USA, V100, P8059, DOI 10.1073/pnas.1231333100
   Holling C.S., 1978, International Series on Applied Systems Analysis, V3
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Lister Nina-Marie., 2007, LARGE PARKS
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Steiner F.R., 2006, RESILIENT METROPOLIS, P1
   TURNER MG, 1989, ANNU REV ECOL SYST, V20, P171, DOI 10.1146/annurev.es.20.110189.001131
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wu JG, 2006, LANDSCAPE ECOL, V21, P1, DOI 10.1007/s10980-006-7195-2
NR 12
TC 710
Z9 867
U1 51
U2 790
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0169-2046
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD APR 30
PY 2011
VL 100
IS 4
SI SI
BP 341
EP 343
DI 10.1016/j.landurbplan.2011.02.021
PG 3
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 758VI
UT WOS:000290194800010
OA Green Submitted
DA 2025-04-22
ER

PT J
AU Golazad, S
   Heravi, G
   Aminshokravi, A
   Mohammadi, A
AF Golazad, Seyedezahra
   Heravi, Gholamreza
   Aminshokravi, Amir
   Mohammadi, Abbas
TI Integrating GIS, agent-based, and discrete event simulation to evaluate
   patient distribution policies for enhancing urban healthcare access
   network resilience
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban healthcare resilience; Disaster management system; Integrated
   patient flow management; Access to care in emergencies; Data-driven
   healthcare strategies; Human behavior
ID SEISMIC RESILIENCE; EARTHQUAKE; PERFORMANCE
AB Ensuring healthcare network resilience during urban disasters is crucial for sustainability and public safety. This study evaluates patient distribution policies in healthcare networks through a case study following a simulated earthquake scenario to enhance resilience during such events. By integrating geographic information systems (GIS) to model road impacts, agent-based modeling (ABM) for patient movements, and discrete event simulation (DES) for hospital queues, six distribution policies were evaluated. The analysis prioritized two metrics: patient waiting times and unmet treatment demands within four days post-disaster. Results revealed that policies emphasizing minimal hospital wait times demonstrated superior performance, reducing average waiting times by 71% and unmet demands compared to proximity-based approaches. Sensitivity analyses highlighted human behavior's influence, with increased personal vehicle usage adversely impacting resilience. Conversely, expanding hospital capacities substantially improved resilience indicators. The findings underscore the importance of informed policymaking focused on wait time reduction to enhance healthcare access resilience. Incorporating real-time hospital wait times into ambulance dispatch decisions emerged as a promising strategy. This multi-method simulation approach provides valuable insights into optimizing emergency response for resilient urban healthcare systems.
C1 [Golazad, Seyedezahra; Mohammadi, Abbas] Univ Utah, Dept Civil & Environm Engn, Salt Lake City, UT USA.
   [Heravi, Gholamreza; Aminshokravi, Amir] Univ Tehran, Coll Engn, Sch Civil Engn, 16 Azar Ave,POB 11155-4563, Tehran, Iran.
C3 Utah System of Higher Education; University of Utah; University of
   Tehran
RP Heravi, G (corresponding author), Univ Tehran, Coll Engn, Sch Civil Engn, 16 Azar Ave,POB 11155-4563, Tehran, Iran.
EM heravi@ut.ac.ir
OI Golazad, SeyedeZahra/0000-0002-1456-4996; Mohammadi,
   Abbas/0009-0000-6990-6861
CR Abbassi MR, 2009, J ASIAN EARTH SCI, V34, P522, DOI 10.1016/j.jseaes.2008.08.001
   Achour N, 2014, DISASTER PREV MANAG, V23, P40, DOI 10.1108/DPM-03-2013-0057
   Alipour A, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001399
   Aminshokravi A, 2024, SUSTAIN CITIES SOC, V104, DOI 10.1016/j.scs.2024.105303
   [Anonymous], 2023, Introduction of district 3 of Tehran Municipality
   Ardalan Ali, 2014, PLoS Curr, V6, DOI 10.1371/currents.dis.8297b528bd45975bc6291804747ee5db
   Armenian HK, 1997, INT J EPIDEMIOL, V26, P806, DOI 10.1093/ije/26.4.806
   Birk HO, 2011, BMC HEALTH SERV RES, V11, DOI 10.1186/1472-6963-11-262
   Bocchini P, 2014, J INFRASTRUCT SYST, V20, DOI 10.1061/(ASCE)IS.1943-555X.0000177
   Bocchini P, 2012, J BRIDGE ENG, V17, P117, DOI 10.1061/(ASCE)BE.1943-5592.0000201
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruneau M., 2013, STRUCT C 2013 BRIDG
   Bruneau M, 2007, EARTHQ SPECTRA, V23, P41, DOI 10.1193/1.2431396
   Cimellaro G., 2008, P 14 WORLD C EARTHQ
   Cimellaro G.P., 2009, QUANTIFICATION DISAS
   Cimellaro GP, 2017, J EARTHQ ENG, V21, P203, DOI 10.1080/13632469.2016.1172373
   Cimellaro GP, 2015, GEOTECH GEOL EARTHQ, V33, P203, DOI 10.1007/978-3-319-06394-2_12
   Comfort L., 1999, Environmental Hazards, V1, P39, DOI [10.1016/S1464-2867(99)00005-4, DOI 10.3763/EHAZ.1999.0105]
   DAKE K, 1991, ADV RISK ANAL, V9, P15
   De Fino M, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104847
   Decò A, 2013, EARTHQ ENG STRUCT D, V42, P1469, DOI 10.1002/eqe.2282
   Esri, 2023, Esri help archive
   Fan C, 2020, APPL NETW SCI, V5, DOI 10.1007/s41109-020-00271-5
   Frangopol D. M., 2011, STRUCT C 2011
   Golazad S, 2022, INT J DISAST RISK RE, V83, DOI 10.1016/j.ijdrr.2022.103395
   Gul M, 2015, COMPUT IND ENG, V83, P327, DOI 10.1016/j.cie.2015.02.018
   Hassan EM, 2020, RELIAB ENG SYST SAFE, V201, DOI 10.1016/j.ress.2020.106953
   Heydari M., 2021, Master's Thesis
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C. S., 1995, Barriers and bridges to the renewal of ecosystems, P428
   Janati A, 2018, DISASTER MED PUBLIC, V12, P166, DOI 10.1017/dmp.2017.56
   JICA C., 2000, Pacific Consultants International Report, P291
   Kameli M.I.J., 2018, Statistical report book of hospital statistics and information system
   Kamranzad F, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9070430
   Karimiziarani M, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103577
   Kawasaki Y, 2017, J DISASTER RES, V12, P272, DOI 10.20965/jdr.2017.p0272
   Kim J, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104650
   Luo W, 2003, ENVIRON PLANN B, V30, P865, DOI 10.1068/b29120
   Martinez L., 2020, CITIES HLTH, V4, P229, DOI [10.1080/23748834.2020.1731918, DOI 10.1080/23748834.2020.1731918]
   McManus K, 2020, PREHOSP EMERG CARE, V24, P672, DOI 10.1080/10903127.2019.1699211
   Mirhashemi S, 2007, PREHOSP DISASTER MED, V22, P513, DOI 10.1017/S1049023X00005343
   Mohaghegh M., 2017, Crisis Response Journal
   Mohammadi Abbas, 2023, Journal of Building Engineering, V79, DOI 10.1016/j.jobe.2023.107934
   Moslehi S, 2024, BMC EMERG MED, V24, DOI 10.1186/s12873-024-00942-x
   Rahmanian F., 2021, Iran J Emerg Med, V8, pe13
   ( SCI) S. C. o. I., 2016, Iran statistical yearbook
   Shahverdi B, 2020, SOCIO-ECON PLAN SCI, V70, DOI 10.1016/j.seps.2019.07.005
   Simonovic S. P., 2013, British Journal of Environment and Climate Change, V3, P378, DOI 10.9734/BJECC/2013/2504
   Taherkhani AH, 2022, INT J DISAST RISK RE, V71, DOI 10.1016/j.ijdrr.2022.102801
   Timmerman Peter., 1981, Vulnerability, Resilience and the Collapse of Society
   Wang Y., 2012, SocioEconomic Planning Sciences, V46, P281, DOI DOI 10.1016/J.SEPS.2012.07.002
   Yu P, 2019, ADV CIV ENG, V2019, DOI 10.1155/2019/7654683
   Zhong S, 2014, EMERG MED J, V31, P930, DOI 10.1136/emermed-2012-202282
NR 53
TC 1
Z9 1
U1 16
U2 26
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 SEP 15
PY 2024
VL 111
AR 105559
DI 10.1016/j.scs.2024.105559
EA JUN 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 XS3G3
UT WOS:001263620900001
DA 2025-04-22
ER

PT J
AU Rajesh, R
   Agariya, AK
   Rajendran, C
AF Rajesh, R.
   Agariya, Arun Kumar
   Rajendran, Chandrasekharan
TI Predicting resilience in retailing using grey theory and moving
   probability based Markov models
SO JOURNAL OF RETAILING AND CONSUMER SERVICES
LA English
DT Article
DE Retail town center; Resilience; Grey theory; Grey prediction; Markov
   models
ID SUPPLY CHAIN RISKS; URBAN; DEMAND; COMPETITION; STRATEGIES; PROPOSAL;
   FORMATS; FUTURE
AB The level of resilience for an urban retail system is referred to as the ability of diverse types of retailing to adjust to any modifications, crises or shocks, which can adversely influence the system equilibrium, without compromising on performing its' functions in a viable way. We use the case of retailing in an urban environment, considering a town center, and observed the resilience factors in retailing. Apart from that, we propose a methodology to measure and predict the level of retail resilience of urban town centers. The idea and theory of grey prediction models and moving probability based Markov models are used in this research for predicting the retail resilience of town centers using several identified indicators. Here, the retail resilience of a case town center, which is located in an Indian city, is evaluated based on the five indicators of retail resilience. From the results of prediction, an increasing trend in the level of retail resilience is observed for the case during 2020. This is perceived as per the results of predictions from the grey model of the first order and with one variable (GM (1, 1) model) and the grey moving probability state Markov model-based error correction. Managers can acknowledge the level of retail resilience and the stage of the adaptive cycle, where the town center stands in resilience, for improving the future trends in the resilience of the town center. Also, the policy implications points in the direction to mend or amend strategies to fit the town center within the adaptive cycle of resilience, as discussed in the paper.
C1 [Rajesh, R.; Agariya, Arun Kumar] ABV Indian Inst Informat Technol & Management ABV, Management Div, Gwalior, India.
   [Rajendran, Chandrasekharan] Indian Inst Technol Madras, Dept Management Studies DoMS, Chennai, Tamil Nadu, India.
C3 ABV-Indian Institute of Information Technology & Management, Gwalior;
   Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Madras
RP Rajesh, R (corresponding author), ABV Indian Inst Informat Technol & Management ABV, Management Div, Gwalior, India.
EM rajesh@iiitm.ac.in; arunkumar@iiitm.ac.in; craj@iitm.ac.in
RI AGARIYA, ARUN/AAC-5929-2021; Rajagopal, Rajesh/K-9650-2014
OI Rajagopal, Rajesh/0000-0002-4231-0539; AGARIYA, ARUN
   KUMAR/0000-0001-8372-4925
CR Agarwal S, 2011, J FINANC QUANT ANAL, V46, P553, DOI 10.1017/S0022109010000839
   Ali SM, 2018, J RETAIL CONSUM SERV, V40, P40, DOI 10.1016/j.jretconser.2017.08.025
   [Anonymous], 2017, INT J MANAG REV, DOI DOI 10.1111/ijmr.12076
   Appiah D, 2019, J RETAIL CONSUM SERV, V50, P249, DOI 10.1016/j.jretconser.2019.05.012
   Augusto M, 2019, J RETAIL CONSUM SERV, V50, P235, DOI 10.1016/j.jretconser.2019.05.015
   Baldwin JR, 2011, IND CORP CHANGE, V20, P367, DOI 10.1093/icc/dtq064
   Baqaee DR, 2020, Q J ECON, V135, P105, DOI 10.1093/qje/qjz030
   Cachinho H, 2014, CITIES, V36, P131, DOI 10.1016/j.cities.2012.10.005
   Cai BP, 2018, RELIAB ENG SYST SAFE, V172, P216, DOI 10.1016/j.ress.2017.12.021
   Chiang YC, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091650
   Chowdhury NA, 2019, J RETAIL CONSUM SERV, V51, P102, DOI 10.1016/j.jretconser.2019.05.024
   Christopher M., 2004, INT J LOGIST MANAG, V15, P1, DOI DOI 10.1108/09574090410700275
   Clapham E, 2003, REAL ESTATE ECON, V31, P647, DOI 10.1046/j.1080-8620.2003.00080.x
   Guimaraes PPC, 2018, MORAV GEOGR REP, V26, P160, DOI 10.2478/mgr-2018-0013
   DENG JL, 1982, SYST CONTROL LETT, V1, P288, DOI 10.1016/S0167-6911(82)80025-X
   Deng Julong, 1989, Journal of Grey Systems, V1, P1
   DESS GG, 1984, ACAD MANAGE J, V27, P467, DOI 10.5465/256040
   Dolega L., 2015, STUDIA REGIONALNE LO, V8, P16
   Dräger L, 2021, REV ECON STAT, V103, P580, DOI 10.1162/rest_a_00909
   Erkip F, 2014, CITIES, V36, P112, DOI 10.1016/j.cities.2012.12.003
   Fernandes JR, 2014, CITIES, V36, P170, DOI 10.1016/j.cities.2012.11.006
   Folke C, 2010, ECOL SOC, V15
   González-Benito S, 2005, J BUS RES, V58, P457, DOI 10.1016/j.jbusres.2003.09.001
   Grewal D, 2011, J RETAILING, V87, pS43, DOI 10.1016/j.jretai.2011.04.008
   Hallak R, 2018, J RETAIL CONSUM SERV, V40, P229, DOI 10.1016/j.jretconser.2017.10.014
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Hu YC, 2019, J OPER RES SOC, V70, P12, DOI 10.1080/01605682.2017.1418150
   Kärrholm M, 2014, CITIES, V36, P121, DOI 10.1016/j.cities.2012.10.012
   Kim NL, 2020, INT J CONSUM STUD, V44, P122, DOI 10.1111/ijcs.12551
   Kumar U, 2010, ENERGY, V35, P1709, DOI 10.1016/j.energy.2009.12.021
   Li SX, 2011, 2011 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND APPLICATIONS, P1, DOI 10.1109/GSIS.2011.6044018
   Liu S., 2006, GREY INFORM THEORY P
   Liu SF, 2010, UNDERST COMPLEX SYST, P1
   Liu SF, 2007, J GREY SYST, V19, P111
   Maguire B, 2007, AUST J EMERG MANAG, V22, P16
   Mao Z., 2011, Procedia Engineering, V11, P314, DOI DOI 10.1016/J.PROENG.2011.04.663
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mealor BA, 2007, OIKOS, V116, P1493, DOI 10.1111/j.0030-1299.2007.15781.x
   Meltzer R, 2017, URBAN STUD, V54, P3022, DOI 10.1177/0042098016661268
   Özdemir A, 2017, GREY SYST, V7, P80, DOI 10.1108/GS-10-2016-0038
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pettit TJ, 2010, J BUS LOGIST, V31, P1, DOI 10.1002/j.2158-1592.2010.tb00125.x
   Porter, 1980, COMPETITIVE STRATEGY
   Rahman MH, 2019, MEASUREMENT, V134, P307, DOI 10.1016/j.measurement.2018.10.055
   Rajesh R, 2021, J MANUF SYST, V60, P903, DOI 10.1016/j.jmsy.2020.10.010
   Rajesh R, 2022, ANN OPER RES, V310, P171, DOI 10.1007/s10479-020-03835-x
   Rajesh R, 2022, ANN OPER RES, V308, P441, DOI 10.1007/s10479-020-03641-5
   Rajesh R, 2019, NAT HAZARDS, V97, P395, DOI 10.1007/s11069-019-03651-y
   Rao FJ, 2018, J URBAN DES, V23, P544, DOI 10.1080/13574809.2017.1405726
   Rao FJ, 2016, CITIES, V58, P97, DOI 10.1016/j.cities.2016.05.002
   Reinartz W, 2019, INT J RES MARK, V36, P350, DOI 10.1016/j.ijresmar.2018.12.002
   RUTTER M, 1993, J ADOLESCENT HEALTH, V14, P626, DOI 10.1016/1054-139X(93)90196-V
   Shou MH, 2021, GREY SYST, V11, P22, DOI 10.1108/GS-12-2019-0068
   Singleton AD, 2016, GEOFORUM, V69, P5, DOI 10.1016/j.geoforum.2015.11.013
   Steen R, 2011, SAFETY SCI, V49, P292, DOI 10.1016/j.ssci.2010.09.003
   Teller C, 2016, J MARKET MANAG-UK, V32, P1537, DOI 10.1080/0267257X.2016.1240705
   Venkatesh VG, 2015, J RETAIL CONSUM SERV, V26, P153, DOI 10.1016/j.jretconser.2015.06.001
   Viitanen J, 2014, ENVIRON PLANN A, V46, P803, DOI 10.1068/a46242
   Walsh F., 2015, Strengthening family resilience
   Wang SH, 2017, GREY SYST, V7, P353, DOI 10.1108/GS-05-2017-0014
   WHEATON WC, 1988, AREUEA J, V16, P430
   Xu S, 2018, ATMOS ENVIRON, V187, P401, DOI 10.1016/j.atmosenv.2018.06.014
   Yang YQ, 2020, INT J INFORM MANAGE, V51, DOI 10.1016/j.ijinfomgt.2019.102046
   Zhang H.P., 2018, INFORM SCIENCES, P75
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
NR 65
TC 26
Z9 27
U1 5
U2 58
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0969-6989
EI 1873-1384
J9 J RETAIL CONSUM SERV
JI J. Retail. Consum. Serv.
PD SEP
PY 2021
VL 62
AR 102599
DI 10.1016/j.jretconser.2021.102599
EA MAY 2021
PG 16
WC Business
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA TY0JB
UT WOS:000683469300010
DA 2025-04-22
ER

PT J
AU Blanco-Londoño, SA
   Torres-Lozada, P
   Galvis-Castaño, A
   Schütze, M
AF Blanco-Londono, Sergio Andres
   Torres-Lozada, Patricia
   Galvis-Castano, Alberto
   Schuetze, Manfred
TI A conceptual framework for the comprehensive analysis of engineering and
   socio-ecological resilience to improve the sustainability of urban
   drainage systems
SO URBAN WATER JOURNAL
LA English
DT Article
DE Comprehensive resilience; conceptual framework; urban drainage
ID FLOOD RESILIENCE; WATER MANAGEMENT; PERSPECTIVE; SAFE
AB Resilience contributes to improving the sustainability of urban drainage systems (UDSs), which has recently begun to be considered in UDS management, but generally as engineering (ER) or as socio-ecological (SER) resilience separately. This article proposes and discusses a conceptual framework that can analyse ER and SER through a comprehensive resilience (CR) index in a UDS with a focus on floods, considering national and international experiences and methodologies related to resilience analyses and is applicable to UDSs. The framework was evaluated in the Southern Drainage System (SDS) of the city of Cali, Colombia, obtaining moderate values of ER and the CR index, and low values of SER. The drainage areas and infrastructure components of the SDS were hydrodynamically modelled in the Storm Water Management Model (SWMM). This conceptual framework can be useful for decision-makers in UDSs management and should be evaluated considering different threat scenarios and mitigation strategies.
C1 [Blanco-Londono, Sergio Andres; Torres-Lozada, Patricia] Univ Valle, Fac Engn, Study & Control Environm Pollut Res Grp, Cali, Colombia.
   [Galvis-Castano, Alberto] Univ Valle, CINARA Inst, Fac Engn, Integrated Water Resources Management Res Grp, Cali, Colombia.
   [Schuetze, Manfred] Ifak eV, Dept Water & Energy, Magdeburg, Germany.
C3 Universidad del Valle; Universidad del Valle
RP Torres-Lozada, P (corresponding author), Univ Valle, Fac Engn, Study & Control Environm Pollut Res Grp, Cali, Colombia.
EM patricia.torres@correounivalle.edu.co
RI Galvis, Alberto/X-9600-2019; Torres, Patricia/I-4051-2014
OI Blanco Londono, Sergio Andres/0000-0002-2048-268X
FU Universidad del Valle; Colciencias; Universidad del Valle; Project
   "Resilience management in urban drainage systems"
FX The authors thank Colciencias and Universidad del Valle for their
   financial support in Colombia through Program 617 of 2013 for funding of
   the National Doctorate Studies granted to the first author and Program
   745 of 2016 for funding of the Project "Resilience management in urban
   drainage systems".
CR Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alex J, 2024, WATER PRACT TECHNOL, V19, P3763, DOI 10.2166/wpt.2024.216
   Ang Alfredo., 2007, Emphasis on Applications to Civil and Environmental Engineering, V2nd
   [Anonymous], 2014, Documento Tecnico de Soporte POT
   Toledo-Cubillos EA, 2022, TECNOL CIENC AGUA, V13, P127, DOI 10.24850/j-tyca-2022-04-03
   Barahona Julin., 2018, Agua 2018: Agua, Justicia Ambiental y Paz
   Barreiro J, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16031316
   Beccari Benjamin., 2016, PLoS Curr, V8, DOI [https://doi.org/10.1371/currents.dis.453df025e34b682e9737f95070f9b970, DOI 10.1371/CURRENTS.DIS.19F9C194F3E3724D9FFA285B157C6EE3, 10.1371/currents.dis.453df025e34b682e9737f95070f9b970, DOI 10.1371/CURRENTS.DIS.453DF025E34B682E9737F95070F9B970]
   Binesh Negin., 2018, CSCE 2018 ANN C BUIL
   Birgani YT, 2018, WATER RESOUR MANAG, V32, P2817, DOI 10.1007/s11269-018-1960-2
   Birgani YT, 2016, P I CIVIL ENG-WAT M, V169, P3, DOI 10.1680/wama.14.00043
   Bucherie A, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102897
   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
   CGSC, 2019, Informe auditora gubernamental con enfoque integral modalidad regular al municipio de Santiago de Cali (Incluye Concejo Municipal) vigencia 2019
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   CVC, 2021, Boletn hidrolgico
   CVC, 2019, Plan de Ordenacin y Manejo de la Cuenca Hidrogrfica de los ros Lili, Melndez y Caaveralejo
   DANE, 2018, Censo nacional de poblacin y vivienda
   Domnguez Edison., 2018, Agua 2018: Agua, Justicia Ambiental y Paz
   EMCALI, 2016, Ajuste plan de saneamiento y manejo de vertimientos PSMV 2016-2030
   Fenner R, 2019, WATER-SUI, V11, DOI 10.3390/w11051082
   Flynn CD, 2016, ECOL SOC, V21, DOI 10.5751/ES-08756-210419
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Galvis A, 2014, J CLEAN PROD, V66, P599, DOI 10.1016/j.jclepro.2013.10.057
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hammond M, 2018, URBAN WATER J, V15, P427, DOI 10.1080/1573062X.2018.1508598
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Huskova I, 2016, GLOBAL ENVIRON CHANG, V41, P216, DOI 10.1016/j.gloenvcha.2016.10.007
   IDEAM, 2018, Es-tudio Nacional del Agua 2018
   ifak, 2021, SamSONS 2.0 Users Guide
   IGAC, 2021, Estadsticas catastrales
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Mahmoud Rasha., 2019, International Journal of Engineering Research Technology, V12, P2423
   Makropoulos C, 2018, URBAN WATER J, V15, P316, DOI 10.1080/1573062X.2018.1457166
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Moores Jonathan., 2015, AS PAC STORMW C AUCK
   Mottahedi A, 2021, ENERGIES, V14, DOI 10.3390/en14061571
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Ning X, 2013, FRONT ENV SCI ENG, V7, P658, DOI 10.1007/s11783-013-0546-8
   Parkinson Jonathan., 2015, Urban Stormwater Management in Developing Countries, V5
   Prouty C, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136685
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Rezende OM, 2019, WATER-SUI, V11, DOI 10.3390/w11071485
   Rossman L., 2015, Storm Water Management Model User's Manual Version 5.1 353
   Schütze M, 2019, WATER SCI TECHNOL, V79, P1966, DOI 10.2166/wst.2019.199
   Schuschny Andrs., 2009, Gua metodolgica: Diseo de indicadores compuestos de desarrollo sostenible
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   SUPERSERVICIOS, 2020, Estudio sectorial de los servicios pblicos domiciliarios de acueducto y alcantarillado
   Sweya LN, 2021, J WATER RES PLAN MAN, V147, DOI 10.1061/(ASCE)WR.1943-5452.0001327
   United Nations Office for Disaster Risk Reduction (UNISDR), 2009, TERM DIS RISK RED
   van Duin B, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.671059
   Walker B., 2004, Ecology and Society, V9, P5
   Wang Hsiao-Hsuan., 2019, Ecological Modeling: An Introduction to the Art and Science of Modeling Ecological Systems, V31
   Zhang CL, 2022, WATER SCI TECHNOL, V85, P188, DOI 10.2166/wst.2021.503
   Zhu SY, 2023, ECOL INDIC, V147, DOI 10.1016/j.ecolind.2023.109959
NR 60
TC 0
Z9 0
U1 8
U2 8
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 JAN 2
PY 2025
VL 22
IS 1
BP 16
EP 27
DI 10.1080/1573062X.2024.2423402
EA DEC 2024
PG 12
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA Q9A3K
UT WOS:001379969300001
OA hybrid
DA 2025-04-22
ER

PT J
AU Zhang, XF
   Huang, Y
AF Zhang, Xiaofan
   Huang, Yin
TI What factors affect the structural resilience of urban networks during
   COVID-19 epidemic? A comparative analysis in China
SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
LA English
DT Article
DE COVID-19; structural resilience of urban network; complex network;
   population mobility network; freight demand network; China; TOPSIS
ID CITIES; TRANSPORTATION; RIDERSHIP; DYNAMICS; REGIONS
AB Under the COVID-19 epidemic, the structural resilience of urban networks has become an important guarantee for social and economic stability and recovery. In this study, population mobility data and freight demand information are selected to construct urban networks. The complex network is used to describe the development level from five aspects of diversity, equilibrium, reciprocity, assortativity and transmission of network structure. And the entropy weight TOPSIS method is used to calculate the structural resilience of urban network based on the description of development level. We find that as the epidemic increases, the structure of population mobility network and freight demand network shows an evolutionary trend from 'single-center' to 'dual-center', and then to 'polycentric'. Meanwhile, a flat network structure is conducive to higher structural resilience. Because the impact of diversity on the structural resilience of population mobility network and freight demand network is respectively 0.541 and 0.142, while the impact of equilibrium is respectively 0.440 and 0.769. The network with high diversity and equilibrium tends to form flat structure and show stronger resilience. Besides, the 'long-range link' in the population mobility network and the phenomenon of 'imbalance transfer' in the freight demand network can also help to improve the structural resilience of the network. Therefore, cities can establish a flat network through polycentric construction and cross-regional cooperation, while improving the heterogeneity of the urban network, they should also promote all-round and multi-faceted development of the network.
C1 [Zhang, Xiaofan; Huang, Yin] Cent South Univ Forestry & Technol, Sch Logist & Transportat, South Rd 498, Changsha 410004, Hunan, Peoples R China.
C3 Central South University of Forestry & Technology
RP Huang, Y (corresponding author), Cent South Univ Forestry & Technol, Sch Logist & Transportat, South Rd 498, Changsha 410004, Hunan, Peoples R China.
EM share0122@126.com
RI Zhang, Xiaofan/HKN-0924-2023; Huang, Yin/IQX-1427-2023
OI Zhang, Xiaofan/0000-0001-5618-7554
FU National Natural Science Foundation of China [72174214, 71804200]; Key
   Project of Scientific Research of Department of Education of Hunan
   Province [21A0156]
FX This work was supported by the National Natural Science Foundation of
   China [72174214, 71804200];; Key Project of Scientific Research of
   Department of Education of Hunan Province [21A0156].
CR Akhavan M, 2020, J TRANSP GEOGR, V82, DOI 10.1016/j.jtrangeo.2019.102624
   [Anonymous], 2021, BAIDU MIGRATION PLAT
   Barabási AL, 1999, SCIENCE, V286, P509, DOI 10.1126/science.286.5439.509
   Barabási AL, 2009, SCIENCE, V325, P412, DOI 10.1126/science.1173299
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Castells M., 1996, Rise of The Network Society
   Castells M, 2010, URBAN STUD, V47, P2737, DOI 10.1177/0042098010377365
   Chan JFW, 2020, LANCET, V395, P514, DOI 10.1016/S0140-6736(20)30154-9
   Chen CM, 2020, J MED INTERNET RES, V22, DOI 10.2196/19540
   Chu Z, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103304
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   [段怡嫣 Duan Yiyan], 2021, [国际城市规划, Urban Planning International], V36, P79
   Fang CL, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102735
   Feng J, 2017, PHYSICA A, V474, P213, DOI 10.1016/j.physa.2017.01.085
   Foster JG, 2010, P NATL ACAD SCI USA, V107, P10815, DOI 10.1073/pnas.0912671107
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Hâncean MG, 2020, ROY SOC OPEN SCI, V7, DOI 10.1098/rsos.200780
   Haoyun Logistics platform, 2021, MATCH INF VEH SOURC
   Huang GY, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103210
   Jacobs W, 2011, URBAN STUD, V48, P2749, DOI 10.1177/0042098010391294
   Kempinska K, 2018, INT J GEOGR INF SCI, V32, P1348, DOI 10.1080/13658816.2017.1418878
   Lai JB, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000581
   Lao X, 2016, CITIES, V53, P43, DOI 10.1016/j.cities.2016.01.006
   Lauer SA, 2020, ANN INTERN MED, V172, P577, DOI 10.7326/M20-0504
   Li BZ, 2019, CITIES, V87, P68, DOI 10.1016/j.cities.2018.12.033
   Li DD, 2015, HABITAT INT, V49, P484, DOI 10.1016/j.habitatint.2015.05.031
   Li Q, 2020, NEW ENGL J MED, V382, P1199, DOI 10.1056/NEJMoa2001316
   Li XJ, 2021, J TRANSP GEOGR, V93, DOI 10.1016/j.jtrangeo.2021.103076
   Li YF, 2020, J GEOVIS SPAT ANAL, V4, DOI 10.1007/s41651-020-00047-6
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Liu PP, 2020, BIOSAF HEALTH, V2, P199, DOI 10.1016/j.bsheal.2020.11.003
   Lu H, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103464
   Ma YY., 2011, R&D MANAGE, V236, P1, DOI [10.13581/j.cnki.rdm.2011.06.003, DOI 10.13581/J.CNKI.RDM.2011.06.003]
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Muller M, 2007, ENVIRON URBAN, V19, P99, DOI 10.1177/0956247807076726
   Newman MEJ, 2003, PHYS REV E, V67, DOI 10.1103/PhysRevE.67.026126
   Newman MEJ, 2003, SIAM REV, V45, P167, DOI 10.1137/S003614450342480
   Nishiura H, 2020, INT J INFECT DIS, V93, P284, DOI 10.1016/j.ijid.2020.02.060
   OZERNOY VM, 1992, INFOR, V30, P159
   [潘峰华 Pan Fenghua], 2019, [地理科学, Scientia Geographica Sinica], V39, P1093
   Pan FH, 2017, URBAN STUD, V54, P3639, DOI 10.1177/0042098016685511
   [彭翀 Peng Chong], 2019, [经济地理, Economic Geography], V39, P68
   [彭翀 Peng Chong], 2018, [地理研究, Geographical Research], V37, P1193
   Phillips NE, 2021, SOCIOL METHOD RES, V50, P1110, DOI 10.1177/0049124119852386
   Ren YH, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6347
   Ribeiro HV, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0239699
   Schiller F, 2016, J CLEAN PROD, V112, P4273, DOI 10.1016/j.jclepro.2015.08.030
   Shannon C. E., 1948, The Bell system technical journal, V27, P379, DOI DOI 10.1002/J.1538-7305.1948.TB01338.X
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   STEWART TJ, 1992, OMEGA-INT J MANAGE S, V20, P569, DOI 10.1016/0305-0483(92)90003-P
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   [谭跃进 Tan Yuejin], 2004, [系统工程理论与实践, Systems Engineering-Theory & Practice], V24, P1
   Thadakamalla HP, 2004, IEEE INTELL SYST, V19, P24, DOI 10.1109/MIS.2004.49
   Tobin G., 1999, ENVIRON HAZARDS-UK, V1, P13, DOI [DOI 10.1016/S1464-2867(99)00002-9, 10.3763/ehaz.1999.0103]
   Tu W, 2018, J TRANSP GEOGR, V69, P45, DOI 10.1016/j.jtrangeo.2018.04.013
   Turok I, 2004, EUR PLAN STUD, V12, P371, DOI 10.1080/0965431042000195029
   Watts DJ, 1998, NATURE, V393, P440, DOI 10.1038/30918
   [魏冶 Wei Ye], 2020, [地理科学进展, Progress in Geography], V39, P488
   Wei Y, 2018, APPL GEOGR, V96, P77, DOI 10.1016/j.apgeog.2018.05.009
   WMHC, 2020, The study of current situation evaluation of water environment and ecological protection of urban inner lake in Huangshi cityD
   Wu X, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102354
   [杨延杰 Yang Yanjie], 2020, [地理科学进展, Progress in Geography], V39, P1397
   Ye SS, 2021, GROWTH CHANGE, V52, P2391, DOI 10.1111/grow.12530
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zhang YH, 2021, GISCI REMOTE SENS, V58, P235, DOI 10.1080/15481603.2021.1872244
   Zhao MX, 2015, URBAN STUD, V52, P3018, DOI 10.1177/0042098014558541
   Zheng LF, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102927
   [周慧玲 Zhou Huiling], 2020, [地理研究, Geographical Research], V39, P669
   Zhu GH, 2018, J TRANSP GEOGR, V66, P65, DOI 10.1016/j.jtrangeo.2017.11.006
NR 74
TC 5
Z9 5
U1 14
U2 96
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 NOV 17
PY 2022
VL 29
IS 8
BP 858
EP 874
DI 10.1080/13504509.2022.2108928
EA AUG 2022
PG 17
WC Green & Sustainable Science & Technology; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 5K5KC
UT WOS:000839573600001
DA 2025-04-22
ER

PT J
AU Ribeiro, DF
   Saito, SM
   Alvalá, RCD
AF Ribeiro, Daniela Ferreira
   Saito, Silvia Midori
   Alvala, Regina Celia dos Santos
TI Community disaster resilience in Brazilian small urban centers
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Social capital; Small municipalities; Small towns; Vulnerability
ID SOCIAL VULNERABILITY; NATURAL HAZARDS; RISK REDUCTION; PERSONAL
   NETWORKS; POLITICAL-ECONOMY; RECOVERY; HEALTH; PREPAREDNESS;
   ASSOCIATION; INDICATORS
AB Brazilian small urban centers are facing several disasters impacts due to their singular environmental, economic, and social characteristics. A comprehensive approach encompassing multiple dimensions of resilience and adaptation is essential to minimize material and human losses. This article analyzes the community disaster resilience of 213 small urban centers in the Brazilian Southeast region, affected by recurrent events, such as floods, flash floods, and landslides. The study adopts a mixed-methods approach. First, a quantitative analysis was conducted at the municipal level using statistical techniques to develop a community disaster resilience index, incorporating social, economic, infrastructure, institutional, and community dimensions. Simultaneously, a qualitative assessment evaluated the levels of social capital at the intra-municipal scale among populations affected by disasters through an online questionnaire. The results demonstrated a direct correlation between community disaster resilience levels and the economic and urban development of the assessed municipalities. Lower levels of community disaster resilience were associated with higher vulnerability of the population, characterized by limited socioeconomic development, inadequate housing conditions, insufficient urban infrastructure for transportation, healthcare, leisure, and social support services, and ineffective implementation of public development policies. Moreover, the absence and limited diversity of leisure spaces that foster social connections contributed to reduced community engagement and participation, resulting in lower levels of social capital. This study underscores the need for comprehensive strategies to enhance community resilience in small urban centers facing recurrent disasters. The findings provide insights for policymakers and practitioners to prioritize interventions and investments in economic development, infrastructure improvement, and social capital enhancement as crucial elements of disaster risk reduction and resilience-building efforts.
C1 [Ribeiro, Daniela Ferreira; Saito, Silvia Midori; Alvala, Regina Celia dos Santos] Natl Ctr Monitoring & Early Warning Nat Disasters, 500 Estr Doutor Altino Bondesan, Sao Jose Dos Campos, SP, Brazil.
RP Ribeiro, DF (corresponding author), Natl Ctr Monitoring & Early Warning Nat Disasters, 500 Estr Doutor Altino Bondesan, Sao Jose Dos Campos, SP, Brazil.
EM daniela.ribeiro@cemaden.gov.br; silvia.saito@cemaden.gov.br;
   regina.alvala@cemaden.gov.br
RI Ribeiro, Daniela/L-8493-2017
OI Ribeiro, Daniela/0000-0002-5516-119X
FU National Council for Scientific and Technological Development (CNPq);
   INCT-Climate Change Project Phase 2 [CNPq 465501/2014-1, 16/2014]
FX We thank the National Council for Scientific and Technological
   Development (CNPq) for financial support for the first author, and the
   INCT-Climate Change Project Phase 2 (Grant CNPq 465501/2014-1/Public
   call MCTI/CNPQ/CAPES/FAPESP No 16/2014).
CR Abdi H, 2010, WIRES COMPUT STAT, V2, P433, DOI 10.1002/wics.101
   Adler PS, 2002, ACAD MANAGE REV, V27, P17, DOI 10.2307/4134367
   Akaishi A.G., 2011, Risco Revista de Pesquisa Em Arquitetura e Urbanismo (Online), V14, P41, DOI [10.11606/issn.1984-4506.v0i14p41-50, DOI 10.11606/ISSN.1984-4506.V0I14P41-50]
   Aldrich D.P., 2018, Oxford Research Encyclopedia of Natural Hazard Science, DOI DOI 10.1093/ACREFORE/9780199389407.013.254
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   Alves P., 2009, Horiz. Cientifico, V3, P1
   Amirzadeh M, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102599
   Andrade T.A.S.R.V., 2001, Cidades Medias Brasileiras
   [Anonymous], Perfil dos Municipios Brasileiros: Esporte 2003
   [Anonymous], 2013, ATLAS BRASILEIRO DES
   [Anonymous], 2020, Cidades e Estados
   Asadzadeh A, 2017, INT J DISAST RISK RE, V25, P147, DOI 10.1016/j.ijdrr.2017.09.015
   Balica SF, 2012, NAT HAZARDS, V64, P73, DOI 10.1007/s11069-012-0234-1
   Bermudez F.A.R., 2022, Informes Psicologicos, V22, P77, DOI [10.18566/infpsic.v22n1a04, DOI 10.18566/INFPSIC.V22N1A04]
   Beserra M.R., 2016, Reflexoes e Recortes Teoricos Sobre Direitos Fundamentais, Desenvolvimento e Politicas P(iblicas, P24
   Bhandari RB, 2014, DISASTER PREV MANAG, V23, P314, DOI 10.1108/DPM-06-2013-0105
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Bobylev N, 2009, LAND USE POLICY, V26, P1128, DOI 10.1016/j.landusepol.2009.02.003
   Bourdieu P., 1979, HDB THEORY RES SOCIO, DOI DOI 10.1002/9780470755679.CH15
   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
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Carmen E, 2022, AMBIO, V51, P1371, DOI 10.1007/s13280-021-01678-9
   Castro Mary Garcia, 2002, Cad. Pesqui., P143
   CICCOTTI LARISSA, 2020, Ambient. soc., V23, pe01231, DOI 10.1590/1809-4422asoc20180123r1vu2020l1ao
   Coleman J. S., 1990, Foundations of social theory
   Correa R.L., 1999, Revista Territorio, V6, P43
   Correa R.L., 2011, GEOUSP: Espaco e Tempo, V5, DOI [10.11606/issn.2179-0892.geousp.2011.74228, DOI 10.11606/ISSN.2179-0892.GEOUSP.2011.74228]
   Coudel Emilie, 2008, International Journal of Sustainable Development, V11, P206, DOI 10.1504/IJSD.2008.026502
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2020, NORSK GEOGR TIDSSKR, V74, P200, DOI 10.1080/00291951.2019.1692066
   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
   Dias MCD, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101742
   Demir EK, 2021, EDUC RES REV-NETH, V33, DOI 10.1016/j.edurev.2021.100391
   DRABEK TE, 1968, J MARRIAGE FAM, V30, P443, DOI 10.2307/349914
   Espirito-Santo C.M., 2016, Revista de Gestao Costeira Integrada, V16, P223, DOI [10.5894/rgci613, DOI 10.5894/RGCI613]
   Fernandes P.H.C., 2018, Revista Vertices, V20, P54, DOI [10.19180/1809-2667.v20n12018p54-66, DOI 10.19180/1809-2667.V20N12018P54-66]
   Figueiredo M., 2021, Voce Conhece O Bairro Quarto Deposito?
   Firouzbakht M, 2018, BMC PUBLIC HEALTH, V18, DOI 10.1186/s12889-018-5659-3
   Ganem R.S., 2012, Gestao de desastres no brasil
   Gao JL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085005
   Gil P.G., 2019, 42 C BRAS CIENC COMM, P1
   Gomes C.L., 2015, O Direito Social Ao Lazer No Brasil
   Grootaert C., 2004, Measuring Social Capital: An Integrated Questionnaire
   Haines VA, 1996, J HEALTH SOC BEHAV, V37, P252, DOI 10.2307/2137295
   Hausman AJ, 2007, J COMMUNITY PSYCHOL, V35, P1073, DOI 10.1002/jcop.20203
   Hawkins RL, 2010, BRIT J SOC WORK, V40, P1777, DOI 10.1093/bjsw/bcp087
   He X, 2022, SUSTAIN RESIL INFRAS, V7, P391, DOI 10.1080/23789689.2020.1871541
   Helliwell J., 1999, Education and social capital, DOI DOI 10.3386/W7121
   Herbert M., 2021, Parque infantil interditado no centro de Mongagua gera protestos
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hummell BMD, 2016, INT J DISAST RISK SC, V7, P111, DOI 10.1007/s13753-016-0090-9
   Hurlbert JS, 2000, AM SOCIOL REV, V65, P598, DOI 10.2307/2657385
   IBGE, 2022, Perfil Dos Municipios Brasileiros: 2021
   IBGE, 2022, Estatisticas do Cadastro Central de Empresas: 2020
   IBGE, 2016, Cadastro Central de Empresas
   IBGE Instituto Brasileiro de Geografia e Estatistica, 2020, Regioes de influencia das cidades 2018. Coordenacao de Geografia
   IBGE-Instituo Brasileiro de Geografia e Estatistica, 2021, Comunicacion de referencia
   IBGE-INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATISTICA, 2022, Censo Demografico 2022-Agregados por Setores Censitarios preliminares: Populacao e domicilios (IBGE)
   Instituto Nacional de Estudos e Pesqui- sas Educacionais Anisio Teixeira (INEP), 2020, Censo Escolar
   Islam R, 2014, INT J DISAST RISK RE, V10, P281, DOI 10.1016/j.ijdrr.2014.09.016
   Kawachi I, 2004, INT J EPIDEMIOL, V33, P682, DOI 10.1093/ije/dyh177
   Koliou M, 2020, SUSTAIN RESIL INFRAS, V5, P131, DOI 10.1080/23789689.2017.1418547
   Kulig JC, 2013, J COMMUNITY PSYCHOL, V41, P758, DOI 10.1002/jcop.21569
   LaLone M.B., 2012, J APPL SOCIAL SCI, V6, P209, DOI [10.1177/1936724412458483, DOI 10.1177/1936724412458483]
   Lanza L.M.B., 2015, 7 JORN INT POL PUBL, P1
   Lee YJ, 2014, ENVIRON IMPACT ASSES, V44, P31, DOI 10.1016/j.eiar.2013.08.002
   Lehmann David, 2007, Horiz. antropol., V13, P69
   Marcellino N.C., 2007, Rev. Iberoam., V1
   Marchezini V, 2017, INT J DISAST RISK SC, V8, P390, DOI 10.1007/s13753-017-0150-9
   Mayer B, 2019, CURR ENV HLTH REP, V6, P167, DOI 10.1007/s40572-019-00239-3
   Moreira Junior O., 2010, Ra'ega, V20, P133, DOI DOI 10.5380/RAEGA.V20I0.20617
   Mulligan M, 2016, INT PLAN STUD, V21, P348, DOI 10.1080/13563475.2016.1155974
   Mutch C, 2014, PASTOR CARE EDUC, V32, P5, DOI 10.1080/02643944.2014.880123
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ojeda E., 2007, Sofrimento, resiliencia e fe: Implicacoes para as relacoes de cuidado"
   Ojeda E N. S., 2005, Resiliencia descobrindo as proprias fortalezas, P47
   Oktari RS, 2022, INT J DISAST RISK RE, V81, DOI 10.1016/j.ijdrr.2022.103290
   Oliveira Ana Tercila Campos, 2019, Trends Psychol., V27, P779, DOI 10.9788/tp2019.3-13
   Oliveira Ana Tercila Campos, 2018, Trends Psychol., V26, P1731
   Oliveira G.A.S., 2015, RS - Brasil, Agora, V17, P109, DOI [10.17058/agora.v17i1.6181, DOI 10.17058/AGORA.V17I1.6181]
   Oliveira I.N., 2011, 3 S REC HIDR BAC RIO, P1
   Pattussi MP, 2016, SOC PSYCH PSYCH EPID, V51, P1321, DOI 10.1007/s00127-016-1232-5
   Paula J.S., 2018, Estudos Em Avaliacao Educacional, V29, P886, DOI [10.18222/eae.v29i72.4928, DOI 10.18222/EAE.V29I72.4928]
   Pazhuhan M, 2023, ENVIRON DEV, V48, DOI 10.1016/j.envdev.2023.100902
   Pellegrin A., 1996, Politicas Publicas de Lazer: O Papel Das Prefeituras, P31
   Petrini G., 2010, Memorandum, V19, P184
   PREFEITURA DE MONGAGUA, 2021, CENTRO CULTURAL ANTONIO PIRES DE ABREU - AGENOR DE CAMPOS
   Putnam R.D., 1995, Journal of Democracy, V6, P65, DOI DOI 10.1353/JOD.1995.0002
   Putnam R.D., 1993, The American Prospect, P35, DOI DOI 10.1287/mnsc.1120.1644
   Ribeiro DF, 2022, INT J DISAST RISK RE, V68, DOI 10.1016/j.ijdrr.2021.102726
   Rocha C.R., 2018, Monografia
   Roncancio DJ, 2016, NAT HAZARDS, V84, P1367, DOI 10.1007/s11069-016-2491-x
   Rufat S, 2015, INT J DISAST RISK RE, V14, P470, DOI 10.1016/j.ijdrr.2015.09.013
   Sadri AM, 2018, NAT HAZARDS, V90, P1377, DOI 10.1007/s11069-017-3103-0
   Saito S.M., 2017, Revista Da Anpege, V13, P223, DOI [10.5418/ra2017.1322.0009, DOI 10.5418/RA2017.1322.0009]
   Saito S.M., 2020, Terrae Didatica, V16, DOI [10.20396/td.v16i0, DOI 10.20396/TD.V16I0]
   Saito SM, 2021, INT J DISASTER RESIL, V12, P238, DOI 10.1108/IJDRBE-01-2020-0008
   Santos J.E., Geografia Ensino
   Sanyal S, 2016, INT J DISAST RISK RE, V19, P101, DOI 10.1016/j.ijdrr.2016.08.010
   Schneider C.S., 2018, COLOQUIO - Revista Do Desenvolvimento Regional, V16, P51, DOI [10.26767/coloquio.v16i2.1216, DOI 10.26767/COLOQUIO.V16I2.1216]
   SEDEC, 2021, Sistema Integrado de Informacoes sobre Desastres - S2iD
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sheikhi RA, 2021, DISASTER MED PUBLIC, V15, P239, DOI 10.1017/dmp.2019.145
   Shepherd DA, 2014, J MANAGE STUD, V51, P952, DOI 10.1111/joms.12084
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Soares B.R., 2010, Cidades Medias e Pequenas: Teorias, Conceitos e Estudos de Caso, P250
   Stanton-Salazar RD, 2011, YOUTH SOC, V43, P1066, DOI 10.1177/0044118X10382877
   Szreter S, 2004, INT J EPIDEMIOL, V33, P650, DOI 10.1093/ije/dyh013
   Tariq H, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102358
   Trejo-Rangel MA, 2022, DISASTER PREV MANAG, V31, P124, DOI 10.1108/DPM-03-2021-0100
   Tuladhar G, 2014, GEOMAT NAT HAZ RISK, V5, P190, DOI 10.1080/19475705.2013.809556
   United Nations, 2018, WORLD URBANIZATION P
   United Nations, 2015, SUSTAINABLE DEV GOAL
   Uphoff N, 2000, SOCIAL CAPITAL, P215
   Wang JJ, 2016, INT J DISAST RISK RE, V19, P224, DOI 10.1016/j.ijdrr.2016.08.005
   Woolcock M., 2001, The place of social capital in understanding social and economic outcomes
NR 120
TC 2
Z9 2
U1 14
U2 25
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 104200
DI 10.1016/j.ijdrr.2023.104200
EA DEC 2023
PG 28
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA EZ0A9
UT WOS:001142629300001
DA 2025-04-22
ER

PT J
AU Palimaru, AI
   Brown, RA
   Arvizu-Sanchez, V
   Mike, L
   Etz, K
   Johnson, CL
   Dickerson, DL
   D'Amico, EJ
AF Palimaru, Alina I.
   Brown, Ryan A.
   Arvizu-Sanchez, Virginia
   Mike, Lynette
   Etz, Kathleen
   Johnson, Carrie L.
   Dickerson, Daniel L.
   D'Amico, Elizabeth J.
TI Risk and Resilience Among Families in Urban AI/AN Communities: the Role
   of Young Adults
SO JOURNAL OF RACIAL AND ETHNIC HEALTH DISPARITIES
LA English
DT Article
DE Young adults; Family functioning; Risk; Resilience; Native American;
   Qualitative methods
ID PRIMARY SOCIALIZATION THEORY; AMERICAN-INDIAN ADOLESCENTS; HISTORICAL
   TRAUMA; SUBSTANCE USE; TRADITIONAL PRACTICES; NATIVE YOUTH; ALCOHOL-USE;
   DRUG-USE; GENERATIONS; DISORDER
AB Urban American Indian/Alaska Native (AI/AN) young adults and their families are often geographically or socially distant from tribal networks and traditional social support. Young adults can be especially vulnerable to cultural and social disconnection, so understanding how AI/AN family functioning can augment resilience and protect against risk is important. This research precedes a preventive substance use intervention study and explores urban Native family functioning, emphasizing the role of young adults by analyzing data from 13 focus groups with urban AI/AN young adults (n = 32), parents (n = 25), and health providers (n = 33). We found that young adults can and want to become agents of family resilience, playing active roles in minimizing risks and strengthening family functioning in both practical and traditional ways. Also, extended family and community networks played a vital role in shaping family dynamics to support resilience. These resilience pathways suggest potential targets for intervention.
C1 [Palimaru, Alina I.; Brown, Ryan A.; D'Amico, Elizabeth J.] RAND Corp, 1776 Main St, Santa Monica, CA 90401 USA.
   [Arvizu-Sanchez, Virginia; Johnson, Carrie L.] Sacred Path Indigenous Wellness Ctr, Los Angeles, CA USA.
   [Mike, Lynette] Santa Cruz Indian Council Board Directors, Santa Cruz, CA USA.
   [Etz, Kathleen] NIDA, Rockville, MD USA.
   [Dickerson, Daniel L.] Univ Calif Los Angeles, Semel Inst Neurosci & Human Behav, Integrated Subst Abuse Program, Los Angeles, CA 90024 USA.
C3 RAND Corporation; National Institutes of Health (NIH) - USA; NIH
   National Institute on Drug Abuse (NIDA); University of California
   System; University of California Los Angeles
RP Palimaru, AI (corresponding author), RAND Corp, 1776 Main St, Santa Monica, CA 90401 USA.
EM palimaru@rand.org; rbrown@rand.org; virginiaarvizu@gmail.com;
   bawaterlilly@gmail.com; ketz@nida.nih.gov; drcjohnsn@aol.com;
   daniel.dickerson@ucla.edu; damico@rand.org
RI Brown, Ryan/J-4152-2019; Palimaru, Alina/E-5192-2017
OI Palimaru, Alina/0000-0002-2777-4079; D'Amico,
   Elizabeth/0000-0002-8527-7804
FU National Institutes of Health through the NIH HEAL Initiative
   [UG3DA050235]
FX This research leading to these results received funding from the
   National Institutes of Health through the NIH HEAL Initiative under
   award number UG3DA050235; PIs: D'Amico and Dickerson.
CR Ayers SL, 2017, J COMMUNITY PSYCHOL, V45, P230, DOI 10.1002/jcop.21844
   Besaw A., 2004, The context and meaning of family strengthening in Indian America
   Burnette CE, 2020, FAM PROCESS, V59, P695, DOI 10.1111/famp.12423
   Burnette CE, 2017, SOC WORK, V62, P37, DOI 10.1093/sw/sww065
   CensusBureau, 2010, AM INDIAN ALASKA NAT
   Cheadle JE, 2011, J HEALTH SOC BEHAV, V52, P228, DOI 10.1177/0022146510393973
   COHEN J, 1960, EDUC PSYCHOL MEAS, V20, P37, DOI 10.1177/001316446002000104
   Cwik MF, 2017, PREV SCI, V18, P545, DOI 10.1007/s11121-017-0752-x
   D'Amico EJ, 2021, ADDICT SCI CLIN PRAC, V16, DOI 10.1186/s13722-021-00265-3
   D'Amico EJ, 2020, AM INDIAN CULT RES J, V44, P21, DOI 10.17953/aicrj.44.2.d'amico
   D'Amico EJ, 2020, J SUBST ABUSE TREAT, V111, P86, DOI 10.1016/j.jsat.2019.12.011
   Davis B., 2014, SCI CULTURES HIST NO, P367
   Dedoose, 2019, WEB APPL FORM AN PRE
   Dickerson D.L., 2012, Community voices: Integrating traditional healing services for Urban American Indians/Alaska Natives in Los Angeles County: Learning collaborative summary report
   Dickerson D, 2020, PREV SCI, V21, pS33, DOI 10.1007/s11121-018-0926-1
   Dickerson DL, 2016, J SUBST ABUSE TREAT, V65, P26, DOI 10.1016/j.jsat.2015.06.023
   Ehlers CL, 2013, DRUG ALCOHOL DEPEN, V133, P180, DOI 10.1016/j.drugalcdep.2013.05.011
   Friesen BJ, 2015, J BEHAV HEALTH SER R, V42, P191, DOI 10.1007/s11414-014-9447-2
   GARRETT JT, 1994, J MULTICULT COUNS D, V22, P134, DOI 10.1002/j.2161-1912.1994.tb00459.x
   Gewirtz A, 2008, J MARITAL FAM THER, V34, P177, DOI 10.1111/j.1752-0606.2008.00063.x
   Gibbs A, 2018, PLOS ONE, V13, DOI [10.1371/journal.pone.0204956, 10.1371/journal.p]
   Haozous EA, 2021, AM INDIAN ALASKA NAT, V28, P77, DOI 10.5820/aian.2802.2021.77
   Harrist AmandaW., 2019, APA Handbook of Contemporary Family Psychology: Foundations, Methods, and Contemporary Issues across the Lifespan, V1, P223, DOI [DOI 10.1037/0000099-013, 10.1037/0000099-013]
   Henry CS, 2015, FAM RELAT, V64, P22, DOI 10.1111/fare.12106
   Ivanich JD, 2020, PREV SCI, V21, pS43, DOI 10.1007/s11121-018-0914-5
   Johnson C., 2021, Behav Ther, V44, P198
   Johnson C.L., 2006, Mental health care for urban Indians, P189, DOI [DOI 10.1037/11422-010, 10.1037/11422-010]
   Kaholokula JK, 2017, J RACIAL ETHN HEALTH, V4, P35, DOI 10.1007/s40615-015-0198-4
   Kulis S, 2015, J PRIM PREV, V36, P65, DOI 10.1007/s10935-014-0376-x
   Kulis SS, 2020, CULT DIVERS ETHN MIN, V26, P437, DOI 10.1037/cdp0000315
   Kulis SS, 2016, PREV SCI, V17, P721, DOI 10.1007/s11121-016-0657-0
   LaFromboise TD, 2006, J COMMUNITY PSYCHOL, V34, P193, DOI 10.1002/jcop.20090
   Lobo Susan., 2009, KEEPING CAMPFIRES GO, P1
   Lowe JR, 2019, J CHILD ADOL PS NURS, V32, P16, DOI 10.1111/jcap.12222
   Maxwell JA, 2010, QUAL INQ, V16, P475, DOI 10.1177/1077800410364740
   McCubbin L.D., 2013, Handbook of family resilience, P175, DOI [10.1007/978-1-4614-3917-2_11, DOI 10.1007/978-1-4614-3917-2_11]
   Miller IW, 2000, J FAM THER, V22, P168, DOI 10.1111/1467-6427.00145
   Nutton J, 2015, SUBST USE MISUSE, V50, P839, DOI 10.3109/10826084.2015.1018755
   Oetting ER, 1998, SUBST USE MISUSE, V33, P995, DOI 10.3109/10826089809056252
   Oré CE, 2016, AM INDIAN ALASKA NAT, V23, P134, DOI 10.5820/aian.2303.2016.134
   Patterson JM, 2002, J MARRIAGE FAM, V64, P349, DOI 10.1111/j.1741-3737.2002.00349.x
   REDHORSE JG, 1978, SOC CASEWORK-JCSW, V59, P67
   Rees C, 2014, J YOUTH ADOLESCENCE, V43, P405, DOI 10.1007/s10964-013-0018-2
   Rothbaum F, 2002, FAM PROCESS, V41, P328, DOI 10.1111/j.1545-5300.2002.41305.x
   Ryan G. W., 2003, FIELD METHOD, V15, P85, DOI [10.1177/1525822X02239569, DOI 10.1177/1525822X02239569]
   Ryan SR, 2016, ADDICT DISORD TREAT, V15, P17, DOI 10.1097/ADT.0000000000000070
   Seideman R Y, 1996, MCN Am J Matern Child Nurs, V21, P274, DOI 10.1097/00005721-199611000-00012
   SWAIM RC, 1993, J CROSS CULT PSYCHOL, V24, P53, DOI 10.1177/0022022193241004
   Tingey L, 2016, AM J DRUG ALCOHOL AB, V42, P715, DOI 10.1080/00952990.2016.1181762
   Whitbeck LB, 1999, SUBST USE MISUSE, V34, P1025, DOI 10.3109/10826089909039394
   Winek J.L., 2010, SYSTEMIC FAMILY THER
   Wright S, 2011, SUBST USE MISUSE, V46, P1420, DOI 10.3109/10826084.2011.592438
   Yasui M, 2015, J SOC SOC WORK RES, V6, P317, DOI 10.1086/682575
   Yellow Horse Brave Heart M, 1998, SMITH COLL STUD SOC, V68, P287
NR 54
TC 6
Z9 6
U1 0
U2 12
PU SPRINGER INT PUBL AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2197-3792
EI 2196-8837
J9 J RACIAL ETHN HEALTH
JI J. Racial Ethn. Health Disparities
PD APR
PY 2023
VL 10
IS 2
BP 509
EP 520
DI 10.1007/s40615-022-01240-7
EA FEB 2022
PG 12
WC Public, Environmental & Occupational Health
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA 9P2YG
UT WOS:000750725700001
PM 35118610
OA Bronze, Green Published
DA 2025-04-22
ER

PT J
AU Cui, P
   Zou, P
   Ju, X
   Liu, Y
   Su, YL
AF Cui, Peng
   Zou, Ping
   Ju, Xuan
   Liu, Yi
   Su, Yalu
TI Research Progress and Improvement Ideas of Anti-Epidemic Resilience in
   China's Urban Communities
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Review
DE urban communities; COVID-19; anti-epidemic resilience; dynamic network;
   computational experiments
ID COVID-19; EXPERIENCE
AB In the post-epidemic era, China's urban communities are at the forefront of implementing the whole chain of accurate epidemic prevention and control. However, the uncertainty of COVID-19, the loopholes in community management and people's overly optimistic judgment of the epidemic have led to the frequent rebound of the epidemic and serious consequences. Existing studies have not yet formed a panoramic framework of community anti-epidemic work under the concept of resilience. Therefore, this article first summarizes the current research progress of resilient communities from three perspectives, including ideas and perspectives, theories and frameworks and methods and means, and summarizes the gap of the current research. Then, an innovative idea on the epidemic resilience of urban communities in China is put forward: (1) the evolution mechanism of community anti-epidemic resilience is described through the change law of dynamic networks; (2) the anti-epidemic resilience of urban communities is evaluated or predicted through the measurement criteria; (3) a simulation platform based on Multi-Agent and dynamic Bayesian networks simulates the interactive relationship between "epidemic disturbance-cost constraint--epidemic resilience"; (4) the anti-epidemic strategies are output intelligently to provide community managers with decision-making opinions on community epidemic prevention and control.
C1 [Cui, Peng; Zou, Ping; Ju, Xuan; Liu, Yi; Su, Yalu] Nanjing Forestry Univ, Sch Civil Engn, Dept Engn Management, Nanjing 210037, Peoples R China.
C3 Nanjing Forestry University
RP Cui, P (corresponding author), Nanjing Forestry Univ, Sch Civil Engn, Dept Engn Management, Nanjing 210037, Peoples R China.
EM cui@njfu.edu.cn
OI Cui, Peng/0000-0003-2019-8336
FU National Natural Science Foundation of China [72204113]; Humanities and
   Social Sciences Fund of the Ministry of Education [21YJC630017]; Jiangsu
   Social Science Fund [21GLC001]; Innovation and entrepreneurship training
   program for college students in Jiangsu Province [2022NFUSPITP0118]
FX This research was funded by the National Natural Science Foundation of
   China (grant number: 72204113), the Humanities and Social Sciences Fund
   of the Ministry of Education (grant number: 21YJC630017), the Jiangsu
   Social Science Fund (grant number: 21GLC001) and the Innovation and
   entrepreneurship training program for college students in Jiangsu
   Province (grant number: 2022NFUSPITP0118).
CR Aburn G, 2016, J ADV NURS, V72, P980, DOI 10.1111/jan.12888
   Adamy A, 2022, INT J DISAST RISK RE, V69, DOI 10.1016/j.ijdrr.2021.102723
   Akter S, 2021, J URBAN MANAG, V10, P325, DOI 10.1016/j.jum.2021.08.003
   Arab-Mazar Z, 2020, TRAVEL MED INFECT DI, V34, DOI 10.1016/j.tmaid.2020.101630
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burt RS, 1998, SOC NETWORKS, V20, P63, DOI 10.1016/S0378-8733(97)00005-1
   Campbell D, 2021, PUBLIC HEALTH RES PR, V31, DOI 10.17061/phrp3142124
   Chen M., 2021, SHANGHAI URBAN PLAN, V160, P61
   Chen S., 2022, URBAN PLAN INT, V6, P1, DOI [10.19830/j.upi.2020.719, DOI 10.19830/J.UPI.2020.719]
   Chen Z., 2021, URBAN PROBL, V4, P52, DOI [10.13239/j.bjsshkxy.cswt.210406, DOI 10.13239/J.BJSSHKXY.CSWT.210406]
   Chu Z, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103304
   Deng W, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18126487
   Eze P.U., 2021, ETHICS MED PUBLIC HL, V16, DOI [10.1016/j.jemep.2021.100632, DOI 10.1016/J.JEMEP.2021.100632]
   Franch-Pardo I, 2020, SCI TOTAL ENVIRON, V739, DOI 10.1016/j.scitotenv.2020.140033
   Fu HL, 2023, ENG CONSTR ARCHIT MA, V30, P3416, DOI 10.1108/ECAM-10-2021-0946
   Gao X, 2020, J CHIN GOV, V5, P178, DOI 10.1080/23812346.2020.1744922
   Ge SS, 2022, AUTOMAT CONSTR, V142, DOI 10.1016/j.autcon.2022.104488
   George S, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102077
   Gu EW, 2020, J CHIN GOV, V5, P160, DOI 10.1080/23812346.2020.1740468
   Guo J., 2020, STUDY EXPLOR, V5, P32
   Guo XJ, 2021, J SAF SCI RESIL, V2, P31, DOI 10.1016/j.jnlssr.2021.04.001
   Hinton GE, 2006, NEURAL COMPUT, V18, P1527, DOI 10.1162/neco.2006.18.7.1527
   Hou JD, 2015, INT J EMERG MANAG, V11, P146, DOI 10.1504/IJEM.2015.071048
   Jia ZY, 2021, J RURAL STUD, V82, P87, DOI 10.1016/j.jrurstud.2021.01.015
   Khan A, 2022, J INFECT PUBLIC HEAL, V15, P261, DOI 10.1016/j.jiph.2022.01.006
   Khan Y, 2018, BMC PUBLIC HEALTH, V18, DOI 10.1186/s12889-018-6250-7
   Kuo CT, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18147289
   Lai T, 2023, VOLUNTAS, V34, P239, DOI 10.1007/s11266-021-00448-1
   Li Q., 2020, THEORY MON, V9, P73, DOI [10.14180/j.cnki.1004-0544.2020.09.008, DOI 10.14180/J.CNKI.1004-0544.2020.09.008]
   Liu LY, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102516
   Liu WB, 2017, NEUROCOMPUTING, V234, P11, DOI 10.1016/j.neucom.2016.12.038
   Liu ZL, 2021, CITIES, V116, DOI 10.1016/j.cities.2021.103274
   Majewska A, 2022, LAND USE POLICY, V113, DOI 10.1016/j.landusepol.2021.105904
   Mannarini T, 2022, J COMMUNITY PSYCHOL, V50, P2273, DOI 10.1002/jcop.22775
   Margherita A, 2021, TECHNOL FORECAST SOC, V166, DOI 10.1016/j.techfore.2021.120656
   Myers N, 2021, WORLD MED HEALTH POL, V13, P581, DOI 10.1002/wmh3.428
   Orea L, 2022, HEALTH ECON, V31, P154, DOI 10.1002/hec.4437
   Oyelade Olaide N, 2020, Inform Med Unlocked, V20, P100395, DOI 10.1016/j.imu.2020.100395
   Pareti S., 2022, PROCEDIA COMPUT SCI, V201, P72, DOI [10.1016/j.procs.2022.03.012, DOI 10.1016/J.PROCS.2022.03.012]
   Radulescu A, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-77628-4
   Reddin K, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102245
   Sarkar Amitabha, 2020, Glob Health J, V4, P121, DOI 10.1016/j.glohj.2020.11.003
   Schoch-Spana M, 2022, SOC SCI MED, V292, DOI 10.1016/j.socscimed.2021.114554
   Selerio E Jr, 2022, SOCIO-ECON PLAN SCI, V82, DOI 10.1016/j.seps.2021.101217
   Stuart RL, 2020, INFECT DIS HEALTH, V26, P118, DOI 10.1016/j.idh.2020.11.003
   Sui Y., 2014, EXPLORE-NY, V4, P131, DOI [10.16501/j.cnki.50-1019/d.2014.04.014, DOI 10.16501/J.CNKI.50-1019/D.2014.04.014]
   Sun ZH, 2020, HEALTH PLACE, V66, DOI 10.1016/j.healthplace.2020.102450
   Vongxay Vongsakda, 2017, [Journal of Agricultural Extension & Community Development, 농촌지도와 개발], V24, P143, DOI 10.12653/jecd.2017.24.2.0143
   Wang C, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18042123
   Wang WC, 2021, J FORMOS MED ASSOC, V120, pS26, DOI 10.1016/j.jfma.2021.05.010
   Wang Y, 2022, IND ENG INNOV MANAG, V5, P35, DOI [10.23977/ieim.2022.050205, DOI 10.23977/IEIM.2022.050205]
   Xu G, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103485
   Xu WP, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18010088
   Yang L, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17082731
   Yi M, 2022, BMJ OPEN, V12, DOI 10.1136/bmjopen-2021-059032
   Zafri NM, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06544
   Zhang FX, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102664
   Zhang LW, 2020, RISK MANAG HEALTHC P, V13, P3259, DOI 10.2147/RMHP.S283447
   Zhang Y., 2021, E GOVT, V2, P84, DOI [10.16582/j.cnki.dzzw.2021.02.008, DOI 10.16582/J.CNKI.DZZW.2021.02.008]
   Zheng H., 2021, JIANGHAN TRIB, V8, P35
   Zou YF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182312857
   Zuo J., 2021, 7 INT C HUMANITIES S, P353, DOI [10.2991/assehr.k.210519.069, DOI 10.2991/ASSEHR.K.210519.069]
NR 62
TC 5
Z9 5
U1 1
U2 67
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 NOV
PY 2022
VL 19
IS 22
AR 15293
DI 10.3390/ijerph192215293
PG 15
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 6K0EE
UT WOS:000887186200001
PM 36430012
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Xu, H
   Xue, B
AF Xu, Hui
   Xue, Bin
TI Key indicators for the resilience of complex urban public spaces
SO JOURNAL OF BUILDING ENGINEERING
LA English
DT Article
DE Indicator system; Resilience; Complex urban public space
ID CRITICAL SUCCESS FACTORS; MANAGEMENT; FRAMEWORK; RISK; MODEL
AB Qualified with the function of matter, culture, spirit, economy, and history, urban public space is a thorough introduction to the principles of urban design theory and mirror the characteristics of urban societies. Over the last couple of decades, urban areas in China context have been engaged in increasing initiatives and practices with views to facilitate people's lives and intensively utilize land resources. Echoing with these, the complex urban public spaces (CUPSs) with multi-layer structure integrated in three-dimensional space have been constructed in many cities, such as the integrated railway transport hub, airport terminal, and commercial complex. The CUPSs facilitate people's traffic transfer and satisfy people's multi-commercial functions requirements. However, the CUPSs are also subject to many kinds of risk events due to complex structure, crowded people in each layer and openness. Resilience is a kind of ability to resist risks, absorb the damage of risk events, and recover to normal operation situation, which presents high importance for the risk reduction. Gaining resilience and enhancing risk resistance ability of CUPSs are indispensable but indeed difficult as it is determined by lots of influencing indicators. In response, this paper intends to conduct a research on the exploration of key indicators for the resilience of CUPSs. Content analysis, expert investigation, and Analytic Hierarchy Process(AHP) will be adopted for the identification, analysis, and contribution evaluation of the key indicators. Prospectively, the key indicators in a sound taxonomy to break down the resilience will be obtained. The main findings of this research could provide useful references for governors and policy makers to enhance the resilience of CUPSs.
C1 [Xu, Hui] Chongqing Univ Posts & Telecommun, Sch Econ & Management, Chongqing, Peoples R China.
   [Xue, Bin] City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Hong Kong, Peoples R China.
C3 Chongqing University of Posts & Telecommunications; City University of
   Hong Kong
RP Xu, H (corresponding author), Chongqing Univ Posts & Telecommun, Sch Econ & Management, Chongqing, Peoples R China.
EM xuhui@cqupt.edu.cn; xuebin527@gmail.com
RI Xue, Bin/Q-2644-2016
OI Xu, Hui/0000-0002-0744-3002
FU 2016 Chongqing Social Science Planning Project [2016BS005]; 2017
   Humanities and Social Science Research Project of Chongqing Education
   Commission [17SKG053]; Chongqing Research Program of Basic Research and
   Frontier Technology [cstc2017jcyjAX0359]; The Doctoral Funding of the
   Chongqing University of Posts and Telecommunications [A2017-01]
FX The authors gratefully acknowledge financial support from the research
   funding: (1) 2016 Chongqing Social Science Planning Project "The Risk
   Evaluation and Resilient Space Construction of the Complex Urban Public
   Spaces Based on the PSR Model" (No. 2016BS005); ( 2) 2017 Humanities and
   Social Science Research Project of Chongqing Education Commission "The
   Risk Pressure and Resilient Space Establishment Strategies of the
   Complex Urban Public Spaces" (No. 17SKG053); (3) Chongqing Research
   Program of Basic Research and Frontier Technology "The Operational Risk
   Pressure Evaluation and Resilience Establishment Strategies for the
   Integrated Passenger Transport Hub" (No. cstc2017jcyjAX0359); (4) The
   Doctoral Funding of the Chongqing University of Posts and
   Telecommunications "The Risk Management of the Complex Urban Public
   Spaces Based on Resilience Construction"(No. A2017-01).
CR Al-Subhi Al-Harbi K. M., 2001, International Journal of Project Management, V19, P19, DOI 10.1016/S0263-7863(99)00038-1
   [Anonymous], J STRUCTURAL ENG
   Azadeh A, 2014, SAFETY SCI, V68, P99, DOI 10.1016/j.ssci.2014.03.004
   Chan AHS, 2004, IND MANAGE DATA SYST, V104, P430, DOI 10.1108/02635570410537516
   Cheng E. W. L., 2001, Information Management & Computer Security, V9, P61, DOI 10.1108/09685220110388827
   Chua DKH, 1999, J CONSTR ENG M ASCE, V125, P142, DOI 10.1061/(ASCE)0733-9364(1999)125:3(142)
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Deng XY, 2014, EXPERT SYST APPL, V41, P156, DOI 10.1016/j.eswa.2013.07.018
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Garmezy N., 1974, The study of competence in children at risk for severe psychopathology
   Geng QL, 2014, ECOL INDIC, V40, P43, DOI 10.1016/j.ecolind.2014.01.003
   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
   Humphreys L, 2010, NEW MEDIA SOC, V12, P763, DOI 10.1177/1461444809349578
   Irwin A., 2012, Public Places and Spaces
   Johnson JL, 2004, SUBST USE MISUSE, V39, P657, DOI 10.1081/JA-120034010
   Jorgensen M, 2005, IEEE SOFTWARE, V22, P57, DOI 10.1109/MS.2005.73
   Jorgensen M, 2004, INFORM SOFTWARE TECH, V46, P3, DOI 10.1016/S0950-5349(03)00093-4
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Lee E, 2009, EXPERT SYST APPL, V36, P5880, DOI 10.1016/j.eswa.2008.07.057
   Lu W., 2015, INT CONSTR KCI ASCE, V132, P416
   Lu W, 2008, J CONSTR ENG M, V134, P972, DOI 10.1061/(ASCE)0733-9364(2008)134:12(972)
   Lyons T., 2004, International Journal of Project Management, V22, P51, DOI 10.1016/S0263-7863(03)00005-X
   Matthews EC, 2016, J BUILD ENG, V8, P141, DOI 10.1016/j.jobe.2016.08.002
   Moussiopoulos N, 2010, CITIES, V27, P377, DOI 10.1016/j.cities.2010.06.001
   Nadal L., 2000, Discourse of urban public space, USA 1960-1995 : a historical critique /
   Obrist B, 2010, PROG DEV STUD, V10, P283, DOI 10.1177/146499340901000402
   Ouyang M, 2012, CHAOS, V22, DOI 10.1063/1.4737204
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   SAATY TL, 1994, INTERFACES, V24, P19, DOI 10.1287/inte.24.6.19
   Schwartlander, 2011, CALIFORNIA MANAGEMEN, V377, P2031, DOI DOI 10.2307/41166098
   Shen LY, 2011, HABITAT INT, V35, P17, DOI 10.1016/j.habitatint.2010.03.006
   Shen QP, 2003, J CONSTR ENG M ASCE, V129, P485, DOI 10.1061/(ASCE)0733-9364(2003)129:5(485)
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Werner E. E., 1982, Vulnerable but invincible: A study of resilient children
   Yang J, 2013, ENG COMPUTATION, V30, P345, DOI 10.1108/02644401311314321
   Yang Z, 2009, URBAN DES INT, V14, P84, DOI 10.1057/udi.2009.11
   Yukalov VI, 2014, ADV COMPLEX SYST, V17, DOI 10.1142/S0219525914500167
NR 40
TC 25
Z9 25
U1 4
U2 108
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-7102
J9 J BUILD ENG
JI J. Build. Eng.
PD JUL
PY 2017
VL 12
BP 306
EP 313
DI 10.1016/j.jobe.2017.06.018
PG 8
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA FC4AA
UT WOS:000406779600034
DA 2025-04-22
ER

PT J
AU Chen, TY
   Bian, GM
   Wang, ZY
AF Chen, Tianyu
   Bian, Guangmeng
   Wang, Ziyi
TI Resilience Assessment of Historical and Cultural Cities from the
   Perspective of Urban Complex Adaptive Systems
SO LAND
LA English
DT Article
DE complex adaptive system (CAS); historical and cultural cities;
   resilience assessment; east China; the obstacle degree model
ID INTEGRATED FRAMEWORK; COMMUNITY RESILIENCE; CLIMATE-CHANGE; ADAPTATION;
   MODEL
AB Due to the increasingly complex global climatic environment and the rapid development of China's urban construction, China's historical and cultural cities are experiencing an external impact as well as internal fragility. Representing the capacity of the urban system to address impact and pressure, resilience can effectively guarantee the sustainable development of historical and cultural cities. A scientific and reasonable resilience assessment system can guide the resilience construction of historical and cultural cities in an effort to effectively counter the impact and pressure they face. Therefore, it is necessary to research the resilience of historical and cultural cities. On the basis of the complex adaptive system (CAS), and by applying multiple assessment indicators, this paper established a resilience assessment system for China's historical and cultural cities, comprising 38 indicators in six dimensions, to analyze the characteristics and the influencing mechanisms of the resilience of the historical and cultural cities and to reveal the inherent logic underlying their complex presentation. Using six historical and cultural cities in east China as an example, the study applied the assessment system to assess and analyze the different resilience levels of the cities. The comprehensive resilience of Changzhou City obtained the highest score at 0.64, indicating a higher degree of resilience; the scores of Yantai City, Huzhou City, and Nantong City were 0.59, 0.54, and 0.50, respectively, representing moderate degrees of resilience; the scores of Zhongshan City and Quzhou City were 0.44 and 0.40, respectively, exhibiting a lower degree of resilience. Moreover, the factors that result in an unbalanced development of urban resilience were explored from the perspectives of economy, system, and culture. The paper contains some significance in guiding the development of the resilience of historical and cultural cities.
C1 [Chen, Tianyu] Guangzhou Urban Planning & Design Survey Res Inst, Guangzhou 510060, Peoples R China.
   [Bian, Guangmeng] Tianjin Univ, Sch Architecture, Tianjin 300072, Peoples R China.
   [Wang, Ziyi] Shandong Univ, Sch Polit Sci & Publ Adm, Jinan 250199, Peoples R China.
C3 Tianjin University; Shandong University
RP Bian, GM (corresponding author), Tianjin Univ, Sch Architecture, Tianjin 300072, Peoples R China.
EM chentianyu@gzpi.com.cn; bian_guangmeng81@tju.edu.cn;
   202020079@mail.sdu.edu.cn
RI Chen, Tianyu/JDD-7264-2023
OI Bian, Guangmeng/0000-0003-3983-2464
FU Guangzhou Collaborative Innovation Center of Natural Resources Planning
   and Marine Technology
FX No Statement Available
CR Abdrabo MA, 2015, URBAN CLIM, V14, P554, DOI 10.1016/j.uclim.2015.09.005
   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
   [Anonymous], 2009, Asian J. Environ. Disaster Manag. (AJEDM), V1, P101, DOI [10.3850/S179392402009000088, DOI 10.3850/S179392402009000088]
   Ba J.L., 2016, PREPRINT, DOI 10.48550/arXiv.1607.06450
   Bahena-Ayala R, 2021, TECNOL CIENC AGUA, V12, P192, DOI 10.24850/j-tyca-2021-01-06
   Banica A, 2017, EAST J EUR STUD, V8, P45
   Batabyal A.A., 1998, ENVIRONEMENT DEV EC, V3, P235, DOI DOI 10.1017/S1355770X98230129
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Brundtland GH., 1987, OUR COMM FUT, V4, P17
   Bui HT, 2020, J SUSTAIN TOUR, V28, P1022, DOI 10.1080/09669582.2020.1717503
   [陈志端 Chen Zhiduan], 2021, [城市发展研究, Urban Studies], V28, P1
   Chou B.X., 2017, Archit. Des. Manag, V4, P46
   Christopher A., 2002, The Timeless Way of Building
   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 SS, 2019, SOC INDIC RES, V145, P777, DOI 10.1007/s11205-019-02117-9
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Djalante R, 2011, INT J DISAST RISK SC, V2, P1, DOI 10.1007/s13753-011-0015-6
   Fabbricatti K, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123391
   Forman R., 1996, Landscape Ecology, P50
   Garcia S, 2015, INTEL SYST REF LIBR, V72, P1, DOI 10.1007/978-3-319-10247-4
   Ghasemzadeh B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147852
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Hofmann SZ, 2021, PROG DISASTER SCI, V11, DOI 10.1016/j.pdisas.2021.100189
   Ilmola L, 2016, ADV SCI TECH SEC APP, P207, DOI 10.1007/978-3-319-39812-9_11
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jacobs J., 1961, DEATH LIFE GREAT AME
   [姜辽 Jiang Liao], 2014, [地理科学, Scientia Geographica Sinica], V34, P840
   Jin H., 2019, Trans Chin Soc Agric Eng, V35, P84, DOI [10.11975/j.issn.1002-6819.2019.20.011, DOI 10.11975/J.ISSN.1002-6819.2019.20.011]
   Joerin J, 2014, DISASTERS, V38, P540, DOI 10.1111/disa.12058
   John H.H., 2018, Hidden Order: How Adaptation Builds Complexity
   Karamouz M, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000724, 10.1061/(asce)wr.1943-5452.0000724]
   Keller A, 2017, URBAN ARCHIT CONSTR, V8, P15
   [兰伟杰 Lan Weijie], 2019, [城市规划学刊, Urban Planning Forum], P30
   Larkham PJ, 2022, PLAN PERSPECT, V37, P205, DOI 10.1080/02665433.2021.1972442
   Li H., 2023, Architect, V2, P112
   [李嘉艺 Li Jiayi], 2021, [生态学报, Acta Ecologica Sinica], V41, P2609
   Li Y., 2017, Planner, V33, P5, DOI 10.3969/j.issn.1006-0022.2017.08.001
   Mahmoud Rasha., 2019, International Journal of Engineering Research Technology, V12, P2423
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Naphade M, 2011, COMPUTER, V44, P32, DOI 10.1109/MC.2011.187
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Nyström M, 2019, NATURE, V575, P98, DOI 10.1038/s41586-019-1712-3
   Patel R., 2016, United Nations University Centre for Policy Research Working Paper
   Petit E.P., 2022, Smart Cities Policies and Financing, P377, DOI 10.1016/b978-0-12-819130-9.00001-2
   [齐文平 Qi Wenping], 2020, [地理科学进展, Progress in Geography], V39, P1024
   Renukadevi P, 2023, COMPUT SYST SCI ENG, V44, P629, DOI 10.32604/csse.2023.024217
   Saaty T.L., 1988, What Is the Analytic Hierarchy Process
   [邵甬 Shao Yong], 2020, [城市规划学刊, Urban Planning Forum], P102
   [邵甬 Shao Yong], 2016, [城市规划学刊, Urban Planning Forum], P94
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Shi YJ, 2021, CITIES, V112, DOI 10.1016/j.cities.2021.103141
   Ulyanov D, 2017, Arxiv, DOI arXiv:1607.08022
   Wang D.j., 2007, Stat. Decis, V7, P137
   Wang ZY, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18115565
   Wilson G., 2011, Community Resilience and Environmental Transitions, V1st ed.
   Xiao J., 2018, Urban Dev. Stud, V25, P11
   Zhang G.H., 2023, China Anc, V37, P3
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
NR 62
TC 2
Z9 2
U1 14
U2 32
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD APR
PY 2024
VL 13
IS 4
AR 483
DI 10.3390/land13040483
PG 24
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA OX3C0
UT WOS:001210527200001
OA gold
DA 2025-04-22
ER

PT J
AU Hölscher, K
   Frantzeskaki, N
   Loorbach, D
AF Holscher, Katharina
   Frantzeskaki, Niki
   Loorbach, Derk
TI Steering transformations under climate change: capacities for
   transformative climate governance and the case of Rotterdam, the
   Netherlands
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Transformativeclimate governance; Governance agency; Urban governance;
   Governance capacity; Orchestrating capacity; Transformative capacity;
   Sustainability transformation; Resilience; Climate change
ID ADAPTIVE GOVERNANCE; TRANSITIONS; SUSTAINABILITY; ADAPTATION; POLITICS;
   POLICY; CITIES; RESILIENCE; ORGANIZATION; PERSPECTIVE
AB In light of the persistent failure to reduce emissions decisively, facilitate long-term resilience against climate change and account for the connectedness of climate change with other social, environmental and economic concerns, we present a conceptual framework of capacities for transformative climate governance. Transformative climate governance enables climate mitigation and adaptation while purposefully steering societies towards low-carbon, resilient and sustainable objectives. The framework provides a systematic analytical tool for understanding and supporting the already ongoing changes of the climate governance landscape towards more experimental approaches that include multi-scale, cross-sectoral and public-private collaborations. It distinguishes between different types of capacities needed to address transformation dynamics, including responding to disturbances (stewarding capacity), phasing-out drivers of path dependency (unlocking capacity), creating and embedding novelties (transformative capacity) and coordinating multi-actor processes (orchestrating capacity). Our case study of climate governance in Rotterdam, the Netherlands, demonstrates how the framework helps to map the activities by which multiple actors create new types of conditions for transformative climate governance, assess the effectiveness of the capacities and identify capacity gaps. Transformative and orchestrating capacities in Rotterdam emerged through the creation of space and informal networks for strategic and operational innovation, which also propelled new types of governance arrangements and structures. Both capacities support stewarding and unlocking by integrating and mainstreaming different goals, connecting actors to each other for the development of solutions and mediating interests. Key challenges across capacities remain because of limited mainstreaming of long-term and integrated thinking into institutional and regulatory frameworks. As the ongoing changes in climate governance open up multiple questions about actor roles, effective governance processes, legitimacy and how effective climate governance in the context of transformations can be supported, we invite future research to apply the capacities framework to explore these questions.
C1 [Holscher, Katharina; Frantzeskaki, Niki; Loorbach, Derk] Erasmus Univ, DRIFT, Dutch Res Inst Transit, Burgmeester Oudlaan 50 T Bldg, NL-3062 PA Rotterdam, Netherlands.
C3 Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC
RP Hölscher, K (corresponding author), Erasmus Univ, DRIFT, Dutch Res Inst Transit, Burgmeester Oudlaan 50 T Bldg, NL-3062 PA Rotterdam, Netherlands.
EM holscher@drift.eur.nl; frantzeskaki@drift.eur.nl; loorbach@drift.eur.nl
RI Frantzeskaki, Niki/AAN-1044-2021; Loorbach, Derk/L-2493-2015
OI Holscher, Katharina/0000-0002-4504-3368; Loorbach,
   Derk/0000-0002-4422-0019; Frantzeskaki, Niki/0000-0002-6983-448X
FU EU FP7 project IMPRESSIONS (Impacts and Risks from High-end Climate
   Change: Strategies for Innovative Solutions) [603416]
FX This research was funded by the EU FP7 project IMPRESSIONS (Impacts and
   Risks from High-end Climate Change: Strategies for Innovative Solutions,
   www.impressions-project.eu) under grant agreement no. 603416.
CR Abbott KW, 2014, TRANSNATL ENVIRON LA, V3, P57, DOI 10.1017/S2047102513000502
   Abbott KW, 2017, WORKING PAPER, DOI [10.13140/RG.2.2.10435.60962, DOI 10.13140/RG.2.2.10435.60962]
   Abel N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08422-210223
   [Anonymous], INT ORG ORCH
   [Anonymous], COMMUNICATION
   Avelino F, 2017, J ENVIRON POL PLAN, V18, P557
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Beisheim Marianne, 2015, SFB Governance Working Paper Series, V68
   Betsill MM, 2006, GLOBAL GOV, V12, P141, DOI 10.1163/19426720-01202004
   Bettini Y, 2015, ECOL SOC, V20, DOI 10.5751/ES-07291-200147
   Bos JJ, 2012, TECHNOL FORECAST SOC, V79, P1340, DOI 10.1016/j.techfore.2012.04.006
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Brown A., 2017, CLIMATE CHANGE CITIE, P229
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Brown RR, 2013, GLOBAL ENVIRON CHANG, V23, P701, DOI 10.1016/j.gloenvcha.2013.02.013
   Bulkeley Harriet., 2015, Accomplishing Climate Change Governance
   Burch S, 2007, CLIM POLICY, V7, P304, DOI 10.1080/14693062.2007.9685658
   Capano G, 2015, J COMP POLICY ANAL, V17, P311, DOI 10.1080/13876988.2015.1031977
   Chaffin BC, 2014, ECOL SOC, V19, DOI 10.5751/ES-06824-190356
   Chan S, 2015, 242 GRANTH RES I CLI
   Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008
   Cole DanielH., 2011, CLIM LAW, V2, P395, DOI DOI 10.1163/CL-2011-042
   Tàbara JD, 2017, ENVIRON SCI POLICY, V70, P31, DOI 10.1016/j.envsci.2017.01.004
   De Greef P., 2005, ROTTERDAM WATERSTAD
   den Exter R, 2015, LOCAL ENVIRON, V20, P1062, DOI 10.1080/13549839.2014.892919
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Ehnert F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030612
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke Carl, 2003, NAVIGATING SOCIAL EC, P352, DOI [10.1017/cbo9780511541957.020, DOI 10.1017/CBO9780511541957.020]
   Frantzeskaki N, 2014, AMBIO, V43, P542, DOI 10.1007/s13280-014-0512-0
   Frantzeskaki N, 2014, J CLEAN PROD, V65, P406, DOI 10.1016/j.jclepro.2013.09.023
   Frantzeskaki Niki, 2012, International Journal of Sustainable Development, V15, P19, DOI 10.1504/IJSD.2012.044032
   Galaz V, 2012, ECOL ECON, V81, P21, DOI 10.1016/j.ecolecon.2011.11.012
   Garmestani AS, 2013, ECOL SOC, V18, DOI 10.5751/ES-05180-180109
   Garud R, 2007, ORGAN STUD, V28, P957, DOI 10.1177/0170840607078958
   Geels FW, 2014, THEOR CULT SOC, V31, P21, DOI 10.1177/0263276414531627
   Gemeente Rotterdam, 2016, ROTT RES STRAT REDD
   Gemeente Rotterdam, 2015, DUURZ DICHT BIJ ROTT
   Gemeente Rotterdam, 2012, PROGR DUURZ INV DUUZ
   Giddens A., 1976, NEW RULES SOCIOLOGIC
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Hermwille L., 2017, ROUTE JUST GLOBAL EN
   Hermwille L, 2016, GAIA, V25, P19, DOI 10.14512/gaia.25.1.6
   Hildén M, 2017, J CLEAN PROD, V169, P1, DOI 10.1016/j.jclepro.2017.09.019
   Hodson M, 2013, URBAN STUD, V50, P1403, DOI 10.1177/0042098013480967
   Hodson M, 2010, RES POLICY, V39, P477, DOI 10.1016/j.respol.2010.01.020
   Hoffman J, 2016, J ENVIRON POL PLAN, V18, P692, DOI 10.1080/1523908X.2015.1113514
   Hoffman Matthew J, 2011, Climate Governance at the Crossroads: Experimenting with a Global Response after Kyoto, P6, DOI DOI 10.1093/ACPROF:OSO/9780195390087.001.0001
   Holscher K, 2018, COCREATING SUSTAINA
   Hölscher K, 2018, ENVIRON INNOV SOC TR, V27, P1, DOI 10.1016/j.eist.2017.10.007
   Hölscher K, 2019, TECHNOL FORECAST SOC, V145, P176, DOI 10.1016/j.techfore.2017.05.004
   Howlett M, 2014, GLOBAL ENVIRON CHANG, V29, P395, DOI 10.1016/j.gloenvcha.2013.12.009
   IPCC, 2014, IPCC WORKING GROUP I
   Jessop B, 1998, INT SOC SCI J, V50, P29, DOI 10.1111/1468-2451.00107
   Jessop B., 2011, The Sage Handbook of Governance, DOI DOI 10.4135/9781446200964.N8
   Jordan AJ, 2015, NAT CLIM CHANGE, V5, P977, DOI 10.1038/NCLIMATE2725
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kivimaa P, 2017, J CLEAN PROD, V169, P17, DOI 10.1016/j.jclepro.2017.01.027
   Kivimaa P, 2016, RES POLICY, V45, P205, DOI 10.1016/j.respol.2015.09.008
   Kooiman J, 2009, PUBLIC ADMIN, V87, P818, DOI 10.1111/j.1467-9299.2009.01780.x
   Koop SHA, 2017, WATER RESOUR MANAG, V31, P3427, DOI 10.1007/s11269-017-1677-7
   Lebel L, 2009, CLIMATE CHANGE ADAPT, P125
   Ligtvoet W., 2015, ADAPTATION CLIMATE C
   Lodder M, 2016, REFLECTIES VANUIT TR
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Loorbach D., 2015, J. Corp. Citizsh, V2015, P48, DOI DOI 10.9774/GLEAF.4700.2015.JU.00008
   Luederitz C, 2017, SUSTAIN SCI, V12, P393, DOI 10.1007/s11625-016-0414-0
   Marshall NA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034022
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Meadowcroft J., 2009, Climate change governance
   [Molenaar A. C40 initiative C40 initiative], 2013, Connecting Delta Cities. Resilent cities and Climate Adaption Strategies
   Moore ML, 2011, ECOL SOC, V16
   Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001
   O'Brien K., 2015, ADAPTIVE CHALLENGE C, P1, DOI DOI 10.1017/CBO9781139149389.002
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Ostrom E., 2014, ANN ECON FINANC, V15-1, P97, DOI DOI 10.1596/1813-9450-5095
   Pahl-Wostl C, 2013, ECOL SOC, V18, DOI 10.5751/ES-05779-180458
   Patterson J, 2017, ENVIRON INNOV SOC TR, V24, P1, DOI 10.1016/j.eist.2016.09.001
   Pereira L, 2015, INT J ENV RES PUB HE, V12, P6027, DOI 10.3390/ijerph120606027
   Plummer R, 2013, ECOL SOC, V18, DOI 10.5751/ES-05699-180402
   Raven R, 2010, INT J TECHNOL MANAGE, V51, P57, DOI 10.1504/IJTM.2010.033128
   RCI Rotterdam Climate Initiative, 2009, ROTT CLIM PROOF ROTT
   Rotterdam Climate Initiative (RCI), 2012, ROTT CLIM CHANG AD S
   Russill C, 2015, WILEY INTERDISCIPL R, V6, P1757
   Saldana J., 2015, The coding manual for qualitative researchers
   Samadi S., 2016, Decarbonization pathways for the industrial cluster of the port of Rotterdam
   Shaw A, 2014, GLOBAL ENVIRON CHANG, V25, P41, DOI 10.1016/j.gloenvcha.2014.01.002
   Sorensen E, 2006, AM REV PUBLIC ADM, V36, P98, DOI 10.1177/0275074005282584
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   Turnheim B., 2018, Innovating climate governance: Moving beyond experiments, DOI [DOI 10.1017/9781108277679, 10.1017/9781108277679]
   van Asselt H., 2018, INNOVATING CLIMATE G
   Van den Berg H., 2013, 1032013 KVK
   van Veelen Peter, 2013, ADAPTIVE STRATEGIES
   Westley FR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05072-180327
   Wilson S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05100-180122
   Winkler H, 2007, ENERG POLICY, V35, P692, DOI 10.1016/j.enpol.2006.01.009
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wolfram M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8020144
   Yin RK., 2003, Qualitative research from start to finish, V3rd ed.
NR 103
TC 81
Z9 82
U1 12
U2 76
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 MAR
PY 2019
VL 19
IS 3
SI SI
BP 791
EP 805
DI 10.1007/s10113-018-1329-3
PG 15
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HO9QT
UT WOS:000461300900014
OA hybrid
DA 2025-04-22
ER

PT J
AU Liu, W
   Yuan, XX
AF Liu, Wei
   Yuan, Xiuxiu
TI Research on the Resilience Evaluation of Urban Rail Transit Construction
   Organization Based on the Cloud Matter-Element Model: A Case Study of
   Nanchang West Station
SO BUILDINGS
LA English
DT Article
DE urban rail transit projects; construction organization; safety
   management; resilience evaluation; game theory combinatorial weighting;
   cloud matter element model
ID RISK
AB In the construction of urban rail transit projects, the disturbance of equipment, sudden failure, rainstorms, and other emergencies may bring serious safety risks. Resilience theory emphasizes the ability of the system to resist, adapt, absorb, and learn from risks in the whole process before, during, and after the occurrence of risks. It is introduced into the safety management of construction organization of urban rail transit projects to describe the ability of urban rail transit projects to cope with risks in the whole process of dealing with construction risks. This study defines the connotation of the resilience of the project construction organization and uses the literature frequency statistics method to determine the resilience evaluation indexes. The game theory combination weighting method is used to determine the index weights, and the cloud matter element model is used to establish the evaluation model of construction organization resilience of urban rail transit projects. Taking Nanchang West Station of Phase 1 Project of Nanchang Line 2 as an example, the validity and accuracy of the model are verified. The results show that the resilience grade of the construction organization of the project is "higher resilience," which is consistent with the actual survey situation, and the evaluation model is reasonable. In addition, in the evaluation results, the key indexes and risk indexes of the project are determined, and the safety management measures of the construction organization of the project are put forward according to the key indexes and risk indexes.
C1 [Liu, Wei; Yuan, Xiuxiu] East China Jiaotong Univ, Sch Civil Engn & Architecture, Nanchang 330013, Peoples R China.
C3 East China Jiaotong University
RP Yuan, XX (corresponding author), East China Jiaotong Univ, Sch Civil Engn & Architecture, Nanchang 330013, Peoples R China.
EM liuwei@ecjtu.edu.cn; 2022018085901054@ecjtu.edu.cn
FU National Natural Science Foundation of China project
FX No Statement Available
CR Cedergren A, 2013, J RISK RES, V16, P563, DOI 10.1080/13669877.2012.726241
   [陈群 Chen Qun], 2018, [中国安全科学学报, China Safety Science Journal（CSSJ）], V28, P98
   Chen Z.J., 2023, Constr. Technol, V52, P103
   [丁昊 Ding Hao], 2013, [环境科学学报, Acta Scientiae Circumstantiae], V33, P251
   Egidi G, 2020, CHIN J POPUL RESOUR, V18, P155, DOI 10.1016/j.cjpre.2021.04.022
   Einstein HH, 2017, GEOTECH SP, P346
   Fang D., 2017, J. Civ. Eng, V50, P1
   Fouladgar MM, 2012, ARCH CIV MECH ENG, V12, P1, DOI 10.1016/j.acme.2012.03.008
   Fu H.X., 2023, J. Xian Univ. Technol, P1
   [顾祥林 Gu Xianglin], 2023, [工程力学, Engineering Mechanics], V40, P1
   Guha H., 2019, India. Int. Bus. Res, V6, P68, DOI [10.5539/ibr.v6n8p68, DOI 10.5539/IBR.V6N8P68]
   [何郑 He Zheng], 2023, [铁道科学与工程学报, Journal of Railway Science and Engineering], V20, P4781
   Huang Hua, 2013, Computer Integrated Manufacturing Systems, V19, P2686
   [黄亚江 Huang Yajiang], 2021, [灾害学, Journal of Catastrophology], V36, P15
   [季则舟 Ji Zezhou], 2022, [海洋与湖沼, Oceanologia et Limnologia Sinica], V53, P830
   Liu J.Y., 2022, J. Coll. Disaster Prev. Technol, V24, P50
   [刘平 Liu Ping], 2023, [安全与环境学报, Journal of Safety and Environment], V23, P4222
   Liu Q., 2018, Construction Organization and Management, V1st ed.
   Liu W., 2021, Sci. Technol. Eng, V21, P2982
   [刘新民 Liu Xinmin], 2019, [重庆交通大学学报. 自然科学版, Journal of Chongqing Jiaotong University. Natural Science], V38, P6
   [卢浩 Lu Hao], 2023, [同济大学学报. 自然科学版, Journal of Tongji University. Natural Science], V51, P864
   [鲁佳慧 Lu Jiahui], 2018, [水利水运工程学报, Hydro-Science and Engineering], P105
   Makana LO, 2016, TUNN UNDERGR SP TECH, V55, P21, DOI 10.1016/j.tust.2015.11.016
   McConkey SA, 2022, J HOMEL SECUR EMERG, V19, P281, DOI 10.1515/jhsem-2021-0064
   Mei ML, 2023, Computer simulation, V40, P28
   Meng G.W., 2022, Urban Rail Transit Res, V25, P90, DOI [10.16037/j.1007-869x.2022.09.018, DOI 10.16037/J.1007-869X.2022.09.018]
   [缪惠全 Miao Huiquan], 2021, [自然灾害学报, Journal of Natural Disasters], V30, P10
   Mikaeil R, 2019, NAT HAZARDS, V97, P1099, DOI 10.1007/s11069-019-03688-z
   [莫俊文 Mo Junwen], 2022, [铁道科学与工程学报, Journal of Rail Way Science and Engineering], V19, P26
   Mrak I, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12111852
   [潘海泽 Pan Haize], 2023, [隧道建设（中英文）, Tunnel Construction], V43, P936
   Peñaloza GA, 2020, APPL ERGON, V82, DOI 10.1016/j.apergo.2019.102978
   Rinaudo P, 2016, TUNN UNDERGR SP TECH, V52, P71, DOI 10.1016/j.tust.2015.11.021
   Salmanzadeh-Meydani N, 2023, J LOSS PREVENT PROC, V81, DOI 10.1016/j.jlp.2022.104956
   Serbanica C, 2023, CITIES, V134, DOI 10.1016/j.cities.2022.104177
   Tan ZS, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12094590
   [王景春 Wang Jingchun], 2019, [中国安全科学学报, China Safety Science Journal（CSSJ）], V29, P154
   Wang Q.K., 2023, J. Saf. Environ, P1
   Wei Q., 2023, Railw. Stand. Des, DOI [10.13238/j.issn.1004-2954.202211020002, DOI 10.13238/J.ISSN.1004-2954.202211020002]
   Wu X.G., 2013, J. Civil Eng. Manag, V30, P55
   Wu Z.Z., 2022, Not. Surv. Mapp, V9, P23, DOI [10.13474/j.cnki.11-2246.2022.0258, DOI 10.13474/J.CNKI.11-2246.2022.0258]
   Xu N., 2018, Sci. Technol. Prog. Countermeas, V35, P134
   [许兆丰 Xu Zhaofeng], 2019, [中国安全科学学报, China Safety Science Journal（CSSJ）], V29, P1
   Yang CT, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13127205
   Yu Dun, 2011, Yingyong Shengtai Xuebao, V22, P2681
   Zhang J., 2022, Build. Econ, V43, P54, DOI [10.14181/j.cnki.1002-851x.202202054, DOI 10.14181/J.CNKI.1002-851X.202202054]
   [张秋文 Zhang Qiuwen], 2014, [水利学报, Journal of Hydraulic Engineering], V45, P87
   [张仕斌 Zhang Shibin], 2013, [计算机学报, Chinese Journal of Computers], V36, P422
   Zheng L.F., 2023, Chem. Miner. Process, V52, P44, DOI [10.16283/j.cnki.hgkwyjg.2023.12.007, DOI 10.16283/J.CNKI.HGKWYJG.2023.12.007]
   [周方 Zhou Fang], 2023, [安全与环境学报, Journal of Safety and Environment], V23, P1014
   [祝连波 Zhu Lianbo], 2023, [灾害学, Journal of Catastrophology], V38, P1
   Zickiene A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141710546
NR 52
TC 2
Z9 2
U1 30
U2 51
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 616
DI 10.3390/buildings14030616
PG 26
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA MC1Q7
UT WOS:001191341300001
OA gold
DA 2025-04-22
ER

PT J
AU Guo, YS
   Wan, LM
   Zhang, HS
   Lin, YY
   Wang, HW
AF Guo, Yasong
   Wan, Luoma
   Zhang, Hongsheng
   Lin, Yinyi
   Wang, Haowen
TI A Seasonal Resilience Index to Evaluate the Impacts of Super Typhoons on
   Urban Vegetation in Hong Kong
SO ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
LA English
DT Article
DE LiDAR point clouds; multisource remote sensing; resilience; typhoon;
   urban vegetation
ID FOREST DAMAGE; DISTURBANCE; GROWTH
AB Urban vegetation plays a vital role in developing sustainable cities via essential urban ecoservices. Potential threats, however, from natural disturbances to urban vegetation and its resilience remain unclear at local scales. Taking the super typhoon Mangkhut in 2018 as an example, this study aimed to develop a resilience index to evaluate the impacts of super typhoons on urban vegetation in Hong Kong at the species level. The typhoon impacts and canopy recovery of four tree species were assessed by integrating field and remote sensing data. First, we discussed the specific influencing factors of the typhoon. Second, we constructed a normalized seasonal difference vegetation index (NSDVI) to identify and characterize the distribution of tree species. Then, a seasonal resilience index was developed at the species level to investigate the severity and recovery of the vegetation after the typhoon. The results demonstrated that strong wind was the leading cause of damage. NSDVI improved tree species identification by more than 10 percent compared with conventional methods. In terms of the resilience analysis, 87.25 percent of the trees were affected by the typhoon. Royal palm (Roystonea regia) performed well among the four species during the typhoon, suffering minor losses. A total of 47.95 percent of the trees recovered to their pretyphoon state two years after the typhoon. The recovery speed of Hainan ormosia (Ormosia pinnata) was the fastest. This research provides a scientific reference for the planning of urban vegetation species to increase their resilience and ability to provide ecoservices despite natural disturbances.
C1 [Guo, Yasong; Zhang, Hongsheng] Univ Hong Kong, Dept Geog, Hong Kong, Peoples R China.
   [Wan, Luoma; Lin, Yinyi] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Peoples R China.
   [Zhang, Hongsheng] HKU, Shenzhen Inst Res & Innovat, Hong Kong, Peoples R China.
   [Wang, Haowen] Chinese Univ Hong Kong, Sch Architecture, Hong Kong, Peoples R China.
C3 University of Hong Kong; Chinese University of Hong Kong; The University
   of Hong Kong Shenzhen Institute of Research & Innovation; University of
   Hong Kong; Chinese University of Hong Kong
RP Guo, YS (corresponding author), Univ Hong Kong, Dept Geog, Hong Kong, Peoples R China.
EM ysguo@hku.hk; roma@link.cuhk.edu.hk; zhanghs@hku.hk;
   yinyilin@link.cuhk.edu.hk; haowenwang091@gmail.com
RI Zhang, Hongsheng/E-8908-2010; Wan, Luoma/ACD-5797-2022; Lin,
   Yinyi/AAL-4482-2021
OI guo, yasong/0000-0001-8586-2934; WANG, Haowen/0000-0002-4592-8828
FU Research Grants Council (RGC) of Hong Kong [HKU27602020, HKU14605917];
   National Natural Science Foundation of China [42022061, 42071390];
   University of Hong Kong [201909185015, 202011159112]
FX This study was jointly supported by the Research Grants Council (RGC) of
   Hong Kong (HKU27602020, HKU14605917), the National Natural Science
   Foundation of China (42022061 and 42071390), and The University of Hong
   Kong (201909185015 and 202011159112).
CR Abbas S, 2020, AGR FOREST METEOROL, V280, DOI 10.1016/j.agrformet.2019.107784
   Acuto M, 2018, NAT SUSTAIN, V1, P2, DOI 10.1038/s41893-017-0013-9
   Ahmed Z, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2020.102064
   Alonzo M, 2014, REMOTE SENS ENVIRON, V148, P70, DOI 10.1016/j.rse.2014.03.018
   [Anonymous], 2020, PCM VERS 2 0 0
   [Anonymous], 2015, ENVI VERS 5 3 1
   [Anonymous], 2021, LIDAR VERS 4 1
   Armson D, 2012, URBAN FOR URBAN GREE, V11, P245, DOI 10.1016/j.ufug.2012.05.002
   Azzari G, 2017, REMOTE SENS ENVIRON, V202, P64, DOI 10.1016/j.rse.2017.05.025
   Bradski G, 2000, DR DOBBS J, V25, P120
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Chang CT, 2020, FOREST ECOL MANAG, V470, DOI 10.1016/j.foreco.2020.118210
   Chang CT, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2071
   Choy CW, 2020, TROP CYCLONE RES REV, V9, P193, DOI 10.1016/j.tcrr.2020.11.001
   Chung SY, 2020, UTIL POLICY, V67, DOI 10.1016/j.jup.2020.101134
   Deng L, 2020, URBAN FOR URBAN GREE, V48, DOI 10.1016/j.ufug.2019.126488
   Diele K, 2013, GLOBAL PLANET CHANGE, V110, P236, DOI 10.1016/j.gloplacha.2012.09.003
   Endreny TA, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03622-0
   Forzieri G, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21399-7
   Gardiner B, 2005, FORESTRY, V78, P471, DOI 10.1093/forestry/cpi053
   Geng DH, 2021, J FORESTRY RES, V32, P553, DOI 10.1007/s11676-020-01249-w
   Gu H, 2015, REMOTE SENS ENVIRON, V167, P168, DOI 10.1016/j.rse.2015.06.010
   Gülçin D, 2021, FORESTS, V12, DOI 10.3390/f12010062
   Hartling S, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19061284
   Hayashi M, 2015, REMOTE SENS ENVIRON, V156, P216, DOI 10.1016/j.rse.2014.09.028
   He YC, 2020, J WIND ENG IND AEROD, V117, DOI 10.1016/j.jweia.2020.104238
   Hong Kong Lands Department, 2021, HONG KONG GEOGR DAT
   Hong Kong Observatory, 2018, SUP TYPH MANGKH 1822
   Hong Kong Observatory, 2021, WEATH WARN SIGN REC
   Hong Kong Observatory, 2020, TYPH WHICH REQ HURR
   Katz DSW, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12152475
   Klingberg J, 2017, SCI TOTAL ENVIRON, V599, P1728, DOI 10.1016/j.scitotenv.2017.05.051
   Lee MF, 2008, FOREST ECOL MANAG, V255, P3297, DOI 10.1016/j.foreco.2008.02.010
   Li JY, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13040687
   Li WK, 2012, PHOTOGRAMM ENG REM S, V78, P75, DOI 10.14358/PERS.78.1.75
   Li YL, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.692155
   Lin KC, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-05288-y
   Lin TC, 2011, ECOSYSTEMS, V14, P127, DOI 10.1007/s10021-010-9399-1
   Liu LX, 2017, REMOTE SENS ENVIRON, V200, P170, DOI 10.1016/j.rse.2017.08.010
   Lo HS, 2020, SCI TOTAL ENVIRON, V716, DOI 10.1016/j.scitotenv.2020.137172
   Lu LZ, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12101692
   Mavoa S, 2019, LANDSCAPE URBAN PLAN, V191, DOI 10.1016/j.landurbplan.2019.103638
   MLADENOFF DJ, 1993, ECOL APPL, V3, P294, DOI 10.2307/1941832
   Mori N, 2014, GEOPHYS RES LETT, V41, P5106, DOI 10.1002/2014GL060689
   Morimoto J, 2021, FOREST ECOL MANAG, V479, DOI 10.1016/j.foreco.2020.118521
   Mukherjee D, 2017, HEALTH PLACE, V47, P54, DOI 10.1016/j.healthplace.2017.07.004
   Nathaniel S, 2020, J CLEAN PROD, V272, DOI 10.1016/j.jclepro.2020.122709
   National Oceanic and Atmospheric Administration, 2019, SAFFIR SIMPSON HURRI
   Ni YL, 2021, FOREST ECOL MANAG, V496, DOI 10.1016/j.foreco.2021.119433
   Onishi M, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-79653-9
   Ouyang XG, 2021, SCI TOTAL ENVIRON, V766, DOI 10.1016/j.scitotenv.2020.142637
   Parker G, 2018, FOREST ECOL MANAG, V426, P39, DOI 10.1016/j.foreco.2017.11.037
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Pu RL, 2020, URBAN FOR URBAN GREE, V53, DOI 10.1016/j.ufug.2020.126675
   Qiang YJ, 2021, J HYDROL-REG STUD, V37, DOI 10.1016/j.ejrh.2021.100890
   Schöngart J, 2007, ANN FOREST SCI, V64, P657, DOI 10.1051/forest:2007044
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/nclimate3303, 10.1038/NCLIMATE3303]
   Sellier D, 2009, AM J BOT, V96, P885, DOI 10.3732/ajb.0800226
   Song H, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16020173
   Veblen TT, 2001, CAN J FOREST RES, V31, P2089, DOI 10.1139/cjfr-31-12-2089
   Wan LM, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12040656
   Wang HC, 2013, BIOTROPICA, V45, P541, DOI 10.1111/btp.12048
   Wang MY, 2018, NAT HAZARDS, V93, P1231, DOI 10.1007/s11069-018-3351-7
   WESTMAN WE, 1978, BIOSCIENCE, V28, P705, DOI 10.2307/1307321
   Wolfe MK, 2012, LANDSCAPE URBAN PLAN, V108, P112, DOI 10.1016/j.landurbplan.2012.08.006
   Wong K.K., 2012, THESIS CHINESE U HON
   Wu JW, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091403
   Wulder MA, 2019, REMOTE SENS ENVIRON, V225, P127, DOI 10.1016/j.rse.2019.02.015
   Yamamoto H, 2002, PLANTA, V216, P280, DOI 10.1007/s00425-002-0846-x
   Yang J, 2019, J GEOPHYS RES-OCEANS, V124, P9590, DOI 10.1029/2019JC015249
   Yap SL, 2016, J VEG SCI, V27, P133, DOI 10.1111/jvs.12358
   Zhang Jian, 2018, Journal of Computational Multiphase Flows, V10, P259, DOI 10.1177/1757482X18791901
   Zhang WM, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8060501
   Zong SW, 2018, FOREST ECOL MANAG, V407, P75, DOI 10.1016/j.foreco.2017.09.051
NR 74
TC 11
Z9 13
U1 9
U2 33
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 AUG 18
PY 2022
VL 112
IS 6
BP 1614
EP 1632
DI 10.1080/24694452.2021.1989284
EA OCT 2021
PG 19
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 3I3JJ
UT WOS:000746409000001
DA 2025-04-22
ER

PT J
AU Mugume, SN
   Gomez, DE
   Fu, GT
   Farmani, R
   Butler, D
AF Mugume, Seith N.
   Gomez, Diego E.
   Fu, Guangtao
   Farmani, Raziyeh
   Butler, David
TI A global analysis approach for investigating structural resilience in
   urban drainage systems
SO WATER RESEARCH
LA English
DT Article
DE Failure envelopes; Flexibility; Redundancy; Resilience; Structural
   failure; Urban water management
ID CLIMATE-CHANGE; WATER; RISK; DETERIORATION; MANAGEMENT; AREAS
AB Building resilience in urban drainage systems requires consideration of a wide range of threats that contribute to urban flooding. Existing hydraulic reliability based approaches have focused on quantifying functional failure caused by extreme rainfall or increase in dry weather flows that lead to hydraulic overloading of the system. Such approaches however, do not fully explore the full system failure scenario space due to exclusion of crucial threats such as equipment malfunction, pipe collapse and blockage that can also lead to urban flooding. In this research, a new analytical approach based on global resilience analysis is investigated and applied to systematically evaluate the performance of an urban drainage system when subjected to a wide range of structural failure scenarios resulting from random cumulative link failure. Link failure envelopes, which represent the resulting loss of system functionality (impacts) are determined by computing the upper and lower limits of the simulation results for total flood volume (failure magnitude) and average flood duration (failure duration) at each link failure level. A new resilience index that combines the failure magnitude and duration into a single metric is applied to quantify system residual functionality at each considered link failure level. With this approach, resilience has been tested and characterised for an existing urban drainage system in Kampala city, Uganda. In addition, the effectiveness of potential adaptation strategies in enhancing its resilience to cumulative link failure has been tested. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
C1 [Mugume, Seith N.; Gomez, Diego E.; Fu, Guangtao; Farmani, Raziyeh; Butler, David] Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, Exeter EX4 4QF, Devon, England.
C3 University of Exeter
RP Mugume, SN (corresponding author), Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, N Pk Rd, Exeter EX4 4QF, Devon, England.
EM snm205@exeter.ac.uk
RI Mugume, Seith/ADW-0407-2022; Fu, Guangtao/ABE-3874-2021; Gomez Jorquera,
   Diego E./I-9906-2016; Butler, David/I-2991-2012; Farmani,
   Raziyeh/D-3457-2012
OI Mugume, Seith/0000-0002-8289-0099; Gomez Jorquera, Diego
   E./0000-0003-0313-2554; Fu, Guangtao/0000-0003-1045-9125; Butler,
   David/0000-0001-5515-3416; Farmani, Raziyeh/0000-0001-8148-0488
FU UK Commonwealth PhD scholarship; UK Engineering & Physical Sciences
   Research Council (ESPRC) [EP/K006924/1]; EPSRC [EP/K006924/1] Funding
   Source: UKRI
FX This research is financially supported through a UK Commonwealth PhD
   scholarship awarded to the first author. The work is also supported
   through the UK Engineering & Physical Sciences Research Council (ESPRC)
   funded Safe & Su Re research fellowship (EP/K006924/1) awarded to last
   author. Acknowledgement is given to the National Water and Sewerage
   Corporation (NWSC) and the Kampala Capital City Authority (KCCA), Uganda
   for providing datasets used in SWMM model development. Thanks are given
   to Dr. Richard Sliuzas (University of Twentwe, Netherlands) for
   provision of high resolution rainfall data for Kampala. The insights of
   the three anonymous reviewers are also gratefully acknowledged.
CR Ana EV, 2010, URBAN WATER J, V7, P47, DOI 10.1080/15730620903447597
   [Anonymous], 2012, THESIS
   [Anonymous], THESIS
   [Anonymous], 2012, Resilience - outcomes focused regulation
   Atkinson S, 2014, J WATER RES PLAN MAN, V140, P160, DOI 10.1061/(ASCE)WR.1943-5452.0000304
   Blackmore JM, 2008, J WATER RES PLAN MAN, V134, P224, DOI 10.1061/(ASCE)0733-9496(2008)134:3(224)
   Blanc J, 2012, J FLOOD RISK MANAG, V5, P143, DOI 10.1111/j.1753-318X.2012.01135.x
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D., 2011, Urban Drainage, Vthird
   Cabinet Office, 2011, KEEPING THE COUNTRY
   Church R.L., 2007, CRITICAL INFRASTRUCT, P221, DOI DOI 10.1007/978-3-540-68056-7_11
   CIRIA, 2014, MANAGING URBAN FLOOD
   DeBusk K.M., 2013, Rainwater Harvesting: Integrating Water Conservation and Stormwater Management
   Digman CJ, 2014, P I CIVIL ENG-WAT M, V167, P30, DOI 10.1680/wama.12.00083
   Djordjevic S, 2011, ENVIRON SCI POLICY, V14, P864, DOI 10.1016/j.envsci.2011.05.008
   Egger C, 2013, WATER RES, V47, P6762, DOI 10.1016/j.watres.2013.09.010
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Hassler U, 2014, BUILD RES INF, V42, P119, DOI 10.1080/09613218.2014.873593
   Holing CS, 1996, Engineering within Ecological Constraints, P31
   Hwang H, 2015, J HYDROINFORM, V17, P193, DOI 10.2166/hydro.2014.111
   Johansson J., 2012, Risk and Interdependencies in Critical Infrastructures-A Guideline for Analysis, P49, DOI [10.1007/978-1-4471-4661-25, DOI 10.1007/978-1-4471-4661-2_5]
   Johansson J, 2010, THESIS LUND U LUND
   KCC, 2002, KAMPALA DRAINAGE MAS, V5
   Kellagher R. B. B., 2009, THE WAPUG ANNUAL CON
   Lansey K., 2012, P WDSA 2012 14 WATER, P1
   Maksimovic C, 2009, J HYDRAUL RES, V47, P512, DOI 10.1080/00221686.2009.9522027
   Mcbain W., 2010, FLOOD RESILIENCE AND
   Mugume N. S., 2014, IWA WORLD WATER CONG, P72
   O'Kelly M.E., 2007, CRITICAL INFRASTRUCT, P107
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Rossman LA., 2010, Storm water management model users manual version 5.0
   Ryu J., 2008, 11TH INT CONFERENCE, P1
   Scholz R. W., 2011, J RISK RES, P1
   Sliuzas R., 2013, Flood Risk Assessment, Strategies and Actions for Improving Flood Risk Management in Kampala
   Sun S, 2011, URBAN WATER J, V8, P13, DOI 10.1080/1573062X.2010.542819
   Thorndahl S, 2008, WATER RES, V42, P455, DOI 10.1016/j.watres.2007.07.038
   Trelea IC, 2003, INFORM PROCESS LETT, V85, P317, DOI 10.1016/S0020-0190(02)00447-7
   Vugrin ED, 2011, PROCESS SAF PROG, V30, P280, DOI 10.1002/prs.10437
NR 39
TC 243
Z9 266
U1 19
U2 269
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 SEP 15
PY 2015
VL 81
BP 15
EP 26
DI 10.1016/j.watres.2015.05.030
PG 12
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA CN9XS
UT WOS:000358805000002
PM 26024960
OA hybrid
DA 2025-04-22
ER

PT J
AU Sajjad, M
   Chan, JCL
   Chopra, SS
AF Sajjad, Muhammad
   Chan, Johnny C. L.
   Chopra, Shauhrat S.
TI Rethinking disaster resilience in high-density cities: Towards an urban
   resilience knowledge system
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban resilience knowledge system; Built environment; Geographic
   information system; Spatial analysis; Natural hazards; Hong Kong
ID COMMUNITY RESILIENCE; CRITICAL INFRASTRUCTURES; NATURAL HAZARDS;
   ACCESSIBILITY; MODEL
AB Fostering high-resolution disaster resilience assessment is essential for high-density cities (HDCs) given their congested built environment. This study introduces and demonstrates a spatial disaster resilience profiling (SDReP) framework for HDCs. First, an indicator set is presented for resilience assessment in HDCs within a built environment. Second, this indicator set is adopted to identify the spatially-varying patterns of neighbourhood disaster resilience in HDCs. In contrast to typical resilience frameworks, the developed framework also takes into account the spatio-environmental factors within the built environment. As an illustrative example, we demonstrate the application of S-DReP framework to one of the most populated districts in Hong Kong, namely Sha Tin. Building-level data for 24 indicators and infrastructure data are used to compute a spatially-relative disaster resilience index. To inform the planners with disparities among different resilience components, the Analysis of Variance approach is employed to explore the distribution of resilience. To identify the priority intervention areas, the spatial assessments are made using several geo-information models. The proposed S-DReP framework provides a roadmap to establish an urban resilience knowledge system in HDCs enabling practitioners, decisionmakers, and local bodies to design action plans for future vigilance reducing the worsening impacts of hazards on cities.
C1 [Sajjad, Muhammad; Chan, Johnny C. L.] City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impacts Ctr, Sch Energy & Environm, Hong Kong, Peoples R China.
   [Chopra, Shauhrat S.] City Univ Hong Kong, Sch Energy & Environm, Hong Kong, Peoples R China.
   [Sajjad, Muhammad; Chopra, Shauhrat S.] City Univ Hong Kong, Off 803,Namshan Bldg,83 Tat Chee Ave, Hong Kong, Peoples R China.
C3 City University of Hong Kong; City University of Hong Kong; City
   University of Hong Kong
RP Sajjad, M (corresponding author), City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impacts Ctr, Sch Energy & Environm, Hong Kong, Peoples R China.; Chopra, SS (corresponding author), City Univ Hong Kong, Sch Energy & Environm, Hong Kong, Peoples R China.; Sajjad, M; Chopra, SS (corresponding author), City Univ Hong Kong, Off 803,Namshan Bldg,83 Tat Chee Ave, Hong Kong, Peoples R China.
EM mah.sajjad@my.cityu.edu.hk; sschopra@cityu.edu.hk
RI Chopra, Shauhrat S./HIK-2137-2022; SAJJAD, Muhammad/X-5260-2019; CHAN,
   Johnny Chung Leung/ABI-5241-2020
OI Sajjad, Muhammad/0000-0002-1576-1342; CHAN, Johnny Chung
   Leung/0000-0001-8390-7422; Chopra, Shauhrat S./0000-0001-9067-4321
FU City University of Hong Kong [000618]; Hong Kong Special Administrative
   Region
FX This work is partly supported by a Research Studentship from the City
   University of Hong Kong (000618) , Hong Kong Special Administrative
   Region. All the data used in this study are available within the paper
   and the supplementary information, or the links to the resources are
   provided. The results from this study will be made available online
   using the interactive platform (available at: https://arcg.is/1zGzSq)
   developed by Sajjad M. after the publication. The authors declare that
   the research was conducted in the absence of any commercial or financial
   relationships that could be construed as a potential conflict of
   interest.
CR Aguilar-Barajas I, 2019, ENVIRON SCI POLICY, V99, P37, DOI 10.1016/j.envsci.2019.05.021
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Al Rifat SA, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9080469
   Alshehri SA, 2015, NAT HAZARDS, V75, P2221, DOI 10.1007/s11069-014-1423-x
   Asian Development Bank, 2013, INV RES ENS DIS RES
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Borie M, 2019, ENVIRON SCI POLICY, V99, P1, DOI 10.1016/j.envsci.2019.05.014
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Calinski T., 1974, Commun Stat, V3, P1, DOI DOI 10.1080/03610927408827101
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chiu C, 2020, SUSTAINABILITY-BASEL, V12, P1
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Chopra SS, 2015, PHYSICA A, V436, P865, DOI 10.1016/j.physa.2015.05.091
   Cronbach LJ, 1951, PSYCHOMETRIKA, V16, P297
   Cui P, 2019, SOC SCI QUART, V100, P2059, DOI 10.1111/ssqu.12699
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Cutter SL, 2020, ENVIRON HAZARDS-UK, V19, P10, DOI 10.1080/17477891.2018.1511405
   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
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davidson K, 2019, CITIES, V92, P1, DOI 10.1016/j.cities.2019.03.012
   Dawood M, 2020, NAT HAZARDS, V101, P449, DOI 10.1007/s11069-020-03881-5
   Duda R.O., 1973, PATTERN CLASSIFICATI
   ESRI, 2016, OV SPAT STAT TOOLB A
   Fahlberg A, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102623
   Fang YP, 2018, HABITAT INT, V76, P19, DOI 10.1016/j.habitatint.2018.05.004
   Feagan M, 2019, ENVIRON SCI POLICY, V101, P358, DOI 10.1016/j.envsci.2019.07.014
   Fekete A, 2012, NAT HAZARDS, V61, P1161, DOI 10.1007/s11069-011-9973-7
   Feng XH, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102722
   Forzieri G, 2018, GLOBAL ENVIRON CHANG, V48, P97, DOI 10.1016/j.gloenvcha.2017.11.007
   Frazier TG, 2013, APPL GEOGR, V42, P95, DOI 10.1016/j.apgeog.2013.05.004
   Frigerio I, 2016, ENVIRON SCI POLICY, V63, P187, DOI 10.1016/j.envsci.2016.06.001
   Gillespie-Marthaler L, 2019, RISK ANAL, V39, P2479, DOI 10.1111/risa.13344
   Grafton RQ, 2019, NAT SUSTAIN, V2, P907, DOI 10.1038/s41893-019-0376-1
   Heinzlef C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102762
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   Hizbaron DR, 2018, APPL GEOGR, V97, P212, DOI 10.1016/j.apgeog.2018.06.012
   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
   Jain AK, 2010, PATTERN RECOGN LETT, V31, P651, DOI 10.1016/j.patrec.2009.09.011
   Jarzebski MP, 2016, SUSTAIN SCI, V11, P307, DOI 10.1007/s11625-015-0323-7
   Ji TT, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102726
   Jones L, 2019, WORLD DEV, V124, DOI 10.1016/j.worlddev.2019.104632
   Koliou M, 2020, SUSTAIN RESIL INFRAS, V5, P131, DOI 10.1080/23789689.2017.1418547
   KRAMER CY, 1956, BIOMETRICS, V12, P307, DOI 10.2307/3001469
   Lam NSN, 2015, CARTOGR GEOGR INF SC, V42, P315, DOI 10.1080/15230406.2015.1040999
   Li YF, 2019, LAND DEGRAD DEV, V30, P1107, DOI 10.1002/ldr.3297
   Li Y, 2018, ENVIRON INT, V113, P184, DOI 10.1016/j.envint.2018.02.006
   Lin KHE, 2017, NAT HAZARDS, V88, P1229, DOI 10.1007/s11069-017-2916-1
   Lin PY, 2017, LANDSCAPE URBAN PLAN, V168, P48, DOI 10.1016/j.landurbplan.2017.09.024
   Linkov I., 2019, 31 ANN ACM S US INT
   Linkov I, 2020, MANAG RES REV, V43, P1461, DOI 10.1108/MRR-08-2019-0353
   Liu WK, 2017, IOP C SER EARTH ENV, V83, DOI 10.1088/1755-1315/83/1/012029
   Lobo J., 2020, SSRN Electron. J, V38, DOI DOI 10.2139/SSRN.3526940
   Logan TM, 2018, NAT SUSTAIN, V1, P526, DOI 10.1038/s41893-018-0137-6
   Logan TM, 2020, RISK ANAL, V40, P1538, DOI 10.1111/risa.13492
   Mabon L, 2019, LANDSCAPE URBAN PLAN, V187, P105, DOI 10.1016/j.landurbplan.2019.03.013
   Mahmoud H, 2018, COMPUT-AIDED CIV INF, V33, P353, DOI 10.1111/mice.12318
   Malloy T, 2016, ENVIRON SCI TECHNOL, V50, P6822, DOI 10.1021/acs.est.6b02550
   Marasco S, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102506
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   Marzi S, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221585
   McCaughey JW, 2018, NAT SUSTAIN, V1, P38, DOI 10.1038/s41893-017-0002-z
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miles SB, 2015, ENVIRON HAZARDS-UK, V14, P103, DOI 10.1080/17477891.2014.999018
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Moraci F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030755
   Opach T, 2020, NORSK GEOGR TIDSSKR, V74, P181, DOI 10.1080/00291951.2020.1753236
   Östh J, 2018, NETW SPAT ECON, V18, P313, DOI 10.1007/s11067-017-9375-9
   Östh J, 2015, COMPUT ENVIRON URBAN, V49, P148, DOI 10.1016/j.compenvurbsys.2014.07.007
   Paganini Z, 2019, GEOFORUM, V104, P25, DOI 10.1016/j.geoforum.2019.06.003
   Pagliacci F, 2020, ECOL INDIC, V111, DOI 10.1016/j.ecolind.2019.105969
   Palaiologou P, 2019, LANDSCAPE URBAN PLAN, V189, P99, DOI 10.1016/j.landurbplan.2019.04.006
   Parsons M, 2016, INT J DISAST RISK RE, V19, P1, DOI 10.1016/j.ijdrr.2016.07.005
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pielke RA, 2012, GEOPHYS MONOGR SER, V196, P345, DOI 10.1029/2011GM001086
   Pimm SL, 2019, NAT SUSTAIN, V2, P895, DOI 10.1038/s41893-019-0399-7
   Prelog AJ, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000190
   Qin WM, 2017, NAT HAZARDS, V89, P331, DOI 10.1007/s11069-017-2967-3
   Ren C, 2012, INT J APPL EARTH OBS, V18, P207, DOI 10.1016/j.jag.2012.01.026
   Roostaie S, 2019, J CLEAN PROD, V232, P1158, DOI 10.1016/j.jclepro.2019.05.382
   Sajjad M, 2021, APPL GEOGR, V126, DOI 10.1016/j.apgeog.2020.102367
   Sajjad M, 2020, ENVIRON SCI POLICY, V106, P99, DOI 10.1016/j.envsci.2020.01.004
   Sajjad M, 2020, OCEAN COAST MANAGE, V184, DOI 10.1016/j.ocecoaman.2019.105018
   Sajjad M, 2020, SCI TOTAL ENVIRON, V713, DOI 10.1016/j.scitotenv.2020.136704
   Sajjad M, 2019, EARTHS FUTURE, V7, P805, DOI 10.1029/2019EF001226
   Sajjad M, 2019, SCI TOTAL ENVIRON, V671, P339, DOI 10.1016/j.scitotenv.2019.03.326
   Samuelsson K, 2019, LANDSCAPE URBAN PLAN, V187, P70, DOI 10.1016/j.landurbplan.2019.03.015
   Saunders WSA, 2015, INT J DISAST RISK RE, V14, P73, DOI 10.1016/j.ijdrr.2015.01.013
   Scherzer S, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101107
   Scolobig A, 2015, INT J DISAST RISK RE, V12, P202, DOI 10.1016/j.ijdrr.2015.01.006
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Shumba Dorcas., 2017, Consilience, V17, P196
   Siagian TH, 2014, NAT HAZARDS, V70, P1603, DOI 10.1007/s11069-013-0888-3
   Sim T, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041137
   Smith G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310013
   Springgate BF, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15081683
   Stevenson F, 2016, BUILD RES INF, V44, P695, DOI 10.1080/09613218.2016.1213865
   Subramanian K, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102649
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Tukey JW, 1984, The Collected Works of John W. Tukey
   Verschuur J, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102179
   Walters P, 2015, HABITAT INT, V50, P51, DOI 10.1016/j.habitatint.2015.08.004
   Wang SH, 2012, LANDSCAPE URBAN PLAN, V106, P303, DOI 10.1016/j.landurbplan.2012.04.002
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Weinkle J, 2018, NAT SUSTAIN, V1, P808, DOI 10.1038/s41893-018-0165-2
   Wilkin J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071943
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   Wong JKW, 2013, HABITAT INT, V39, P25, DOI 10.1016/j.habitatint.2012.10.005
   Woodruff JD, 2013, NATURE, V504, P44, DOI 10.1038/nature12855
   Wu SS, 2019, CITIES, V94, P211, DOI 10.1016/j.cities.2019.06.010
   Wu WH, 2020, J CLEAN PROD, V261, DOI 10.1016/j.jclepro.2020.121163
   Yang YF, 2018, SUSTAIN CITIES SOC, V42, P407, DOI 10.1016/j.scs.2018.07.013
   Yoon DK, 2016, J ENVIRON PLANN MAN, V59, P436, DOI 10.1080/09640568.2015.1016142
   Zhang WT, 2019, HABITAT INT, V83, P55, DOI 10.1016/j.habitatint.2018.11.002
   Zheng W, 2017, LAND USE POLICY, V69, P361, DOI 10.1016/j.landusepol.2017.09.019
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
NR 120
TC 77
Z9 79
U1 15
U2 155
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 JUN
PY 2021
VL 69
AR 102850
DI 10.1016/j.scs.2021.102850
EA MAR 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 RY2GM
UT WOS:000647735700004
DA 2025-04-22
ER

PT J
AU Zhou, YK
AF Zhou, Yuekuan
TI Low-carbon urban-rural modern energy systems with energy resilience
   under climate change and extreme events in China-A state-of-the-art
   review
SO ENERGY AND BUILDINGS
LA English
DT Review
DE Urban-rural modern energy system; Low-carbon transition; Climate change;
   Energy resilience; Circular economy
ID AIR HEAT-EXCHANGER; PHASE-CHANGE MATERIAL; RENEWABLE ENERGY;
   DECISION-MAKING; DESIGN; ELECTRIFICATION; OPTIMIZATION; INTEGRATION;
   PERFORMANCE; MICROGRIDS
AB Climate-adaptive energy resilience and low-carbon transformation are mainstreams to combat with climate change uncertainty, rural energy poverty, and urban modern energy systems. However, effective strategies have not been provided for energy resilience enhancement considering centralized and decentralized system transition, climate change, extreme weather, natural disasters, equipment failure. In this study, urban and rural energy systems are comprehensively reviewed and compared for low-carbon and sustainability transformation, in terms of energy structures, raw energy sources availability, energy consumption density and carbon emission, accessibility on renewable energy, and etc. Advanced modelling techniques were systematically reviewed for integrated multi-energy systems. Decarbonisation pathways on both urban and rural energy systems were explored. Last but not the least, energy resilience on urban and rural energy systems was studied, including climate change database and modelling techniques, climate change on energy demands and power supply in district energy systems, energy planning strategies for energy resilience enhancement. Research results indicate that, rural areas are abundant in bioenergy (like biogas, biomass, etc), sufficient for renewable system installations, but limited access to modern energy services and energy poverty, while urban cities are characterized with limited spaces for renewable systems, unbalanced cooling/heating loads, and a large amount of waste. Modelling techniques for integrated multi-energy systems mainly include physical models, human knowledge-based machine learning models and data-driven models. The physical models and human knowledge-based machine learning models require specific expertise in physical mechanisms, while the data-driven models are superior in calculation efficiency and user-friendly interface. Energy resilience on urban and rural energy systems is able to ensure a reliable energy supply, and emergency plan to address disruptions from events, like extreme weather and natural disasters. To achieve climate-adaptive energy resilience and low-carbon transformation, main challenges include socio-economic equality access, deployment of charging piles and smart charging development for electric vehicles, battery circular economy in integrated rural-city energy systems, and carbon intensity of battery circular economy. Research results can promote climate-adaptive energy resilience and low-carbon urban modern energy and rural energy poverty systems in China.
C1 [Zhou, Yuekuan] Hong Kong Univ Sci & Technol Guangzhou, Sustainable Energy & Environm Thrust, Funct Hub, Nansha, Guangzhou 511400, Guangdong, Peoples R China.
   [Zhou, Yuekuan] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Clear Water Bay, Hong Kong, Peoples R China.
   [Zhou, Yuekuan] HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen 518048, Peoples R China.
   [Zhou, Yuekuan] Hong Kong Univ Sci & Technol, Div Emerging Interdisciplinary Areas, Clear Water Bay, Hong Kong, Peoples R China.
C3 Hong Kong University of Science & Technology (Guangzhou); Hong Kong
   University of Science & Technology; Hong Kong University of Science &
   Technology
RP Zhou, YK (corresponding author), Hong Kong Univ Sci & Technol Guangzhou, Sustainable Energy & Environm Thrust, Funct Hub, Nansha, Guangzhou 511400, Guangdong, Peoples R China.; Zhou, YK (corresponding author), Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Clear Water Bay, Hong Kong, Peoples R China.; Zhou, YK (corresponding author), HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen 518048, Peoples R China.; Zhou, YK (corresponding author), Hong Kong Univ Sci & Technol, Div Emerging Interdisciplinary Areas, Clear Water Bay, Hong Kong, Peoples R China.
EM yuekuanzhou@hkust-gz.edu.cn
RI Zhou, Yuekuan/ABE-4194-2020
FU Innovation Cooperation Zone [HZQB-KCZYB-2020083]
FX This work was supported by National Development and Reform Commission
   (2023-Dual Carbon-3, Y.Z.) , Natural Science Foundation Project (General
   Project)-Guangdong Basic and Applied Basic Research Fund (2414050003253,
   Y.Z.) , Regional joint fund youth fund project (2022A1515110364,
   P00038-1002, Y.Z.) , Guangdong Basic and Applied Basic Research
   Foundation 2023 (2023A04J1035, P00121-1003, Y.Z.) , Joint Funding of
   Institutes and Enterprises in 2023 (2023A03J0104, P00054-1003,1004,
   Y.Z.) , Green Tech Fund in the Hong Kong Special Administrative Region
   'Developing low-cost PEM electrolysis at scale by optimizing transport
   components and electrode interfaces' (GTF202220034, Y.Z.) . HKUST
   (GZ)-enterprise cooperation project (R00017-2001, Y.Z.) , HKUST
   (GZ)-enterprise cooperation project 'Research on Development of
   Vehicle-City-Network and Electric Vehicle Charging Pile Industry'
   (R00114-2001, Y.Z.) . HKUST (GZ)-enterprise cooperation project
   (R00017-2001, Y.Z.) , HKUST (GZ) -enterprise cooperation project
   'Optimization Design of Proton Exchange Membrane Fuel Cell Plate'
   (R00072-2001, Y.Z.) , HKUST (GZ)-enterprise cooperation project
   'Next-generation radiant cooling for built environment' (R00079-2001,
   Y.Z.) . This research is supported by The Hong Kong University of
   Science and Technology (Guangzhou) startup grant (G0101000059, Y.Z.) .
   This work was also supported in part by the Project of Hetao
   Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone
   (HZQB-KCZYB-2020083, Y.Z.) .r Innovation Cooperation Zone
   (HZQB-KCZYB-2020083, Y.Z.) .
CR Aberilla JM, 2020, APPL ENERG, V258, DOI 10.1016/j.apenergy.2019.114004
   Adefarati T, 2017, APPL ENERG, V185, P158, DOI 10.1016/j.apenergy.2016.10.087
   Ahmed SF, 2021, RENEW ENERG, V172, P350, DOI 10.1016/j.renene.2021.02.086
   Alhamwi A, 2019, APPL ENERG, V251, DOI 10.1016/j.apenergy.2019.113360
   Alhamwi A, 2017, APPL ENERG, V191, P1, DOI 10.1016/j.apenergy.2017.01.048
   Allegrini J, 2015, RENEW SUST ENERG REV, V52, P1391, DOI 10.1016/j.rser.2015.07.123
   Hoang AT, 2021, J CLEAN PROD, V305, DOI 10.1016/j.jclepro.2021.127161
   [Anonymous], 2018, Africa Energy Outlook 2019
   [Anonymous], 2018, American Council for an Energy Efficient Economy
   [Anonymous], Energy Simulation Software
   [Anonymous], MATLABSIMULINK
   [Anonymous], 2017, ENERGY ACCESS OUTLOO
   [Anonymous], The Modelica Association
   Anwar MB, 2022, ENERG ENVIRON SCI, V15, P466, DOI 10.1039/d1ee02206g
   Arsoon MM, 2020, APPL ENERG, V261, DOI 10.1016/j.apenergy.2019.114413
   Asian Development Bank, 2014, Handbook on Renewable Energy in Asia and the Pacific
   Backe S, 2022, APPL ENERG, V323, DOI 10.1016/j.apenergy.2022.119470
   Balakumar P, 2023, J ENERGY STORAGE, V58, DOI 10.1016/j.est.2022.106412
   Benedek J, 2018, RENEW SUST ENERG REV, V90, P516, DOI 10.1016/j.rser.2018.03.020
   Bhuiyan EA, 2021, RENEW SUST ENERG REV, V150, DOI 10.1016/j.rser.2021.111358
   Blumberga A, 2020, ENERGY, V202, DOI 10.1016/j.energy.2020.117485
   Bódis K, 2019, RENEW SUST ENERG REV, V114, DOI 10.1016/j.rser.2019.109309
   Borba PCS, 2023, ENERG CONVERS MANAGE, V277, DOI 10.1016/j.enconman.2022.116616
   Bouffard F, 2008, ENERG POLICY, V36, P4504, DOI 10.1016/j.enpol.2008.09.060
   Burandt T, 2019, APPL ENERG, V255, DOI 10.1016/j.apenergy.2019.113820
   Calise F, 2021, ENERG CONVERS MANAGE, V234, DOI 10.1016/j.enconman.2021.113932
   Candan AK, 2023, SUSTAIN ENERGY GRIDS, V34, DOI 10.1016/j.segan.2023.101015
   Catania P, 1999, APPL ENERG, V64, P229, DOI 10.1016/S0306-2619(99)00065-3
   Chauhan A, 2015, RENEW SUST ENERG REV, V51, P662, DOI 10.1016/j.rser.2015.06.043
   Chaurey A, 2010, RENEW SUST ENERG REV, V14, P2266, DOI 10.1016/j.rser.2010.04.005
   Chen SQ, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104924
   Chen SQ, 2023, SUSTAIN CITIES SOC, V90, DOI 10.1016/j.scs.2023.104406
   Chitalia G, 2020, APPL ENERG, V278, DOI 10.1016/j.apenergy.2020.115410
   Connolly D, 2010, APPL ENERG, V87, P1059, DOI 10.1016/j.apenergy.2009.09.026
   Copena D, 2018, RENEW SUST ENERG REV, V95, P38, DOI 10.1016/j.rser.2018.06.043
   Demirci A, 2022, RENEW ENERG, V195, P1202, DOI 10.1016/j.renene.2022.06.097
   Deng MS, 2021, ENERG BUILDINGS, V240, DOI 10.1016/j.enbuild.2021.110881
   Deng XC, 2022, RENEW SUST ENERG REV, V168, DOI 10.1016/j.rser.2022.112837
   DeRolph CR, 2019, NAT SUSTAIN, V2, P412, DOI 10.1038/s41893-019-0271-9
   Dewi RG, 2023, APPL ENERG, V332, DOI 10.1016/j.apenergy.2022.120507
   Domínguez-Amarillo S, 2019, ENERG BUILDINGS, V202, DOI 10.1016/j.enbuild.2019.109374
   Doostizadeh M, 2023, IET RENEW POWER GEN, V17, P1224, DOI 10.1049/rpg2.12677
   EnergyPlus, About us
   Esfandi S, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103458
   European Commission (EC), 2019, Ocean Energy.
   European Commission (EC), 2016, Offshore Wind Energy.
   Fan JL, 2013, APPL ENERG, V101, P323, DOI 10.1016/j.apenergy.2012.01.020
   Fei F, 2019, RENEW SUST ENERG REV, V103, P217, DOI 10.1016/j.rser.2018.12.036
   Ferahtia S, 2022, ENERGY, V238, DOI 10.1016/j.energy.2021.121777
   Flores-Larsen S, 2019, ENERG BUILDINGS, V184, P216, DOI 10.1016/j.enbuild.2018.12.015
   Gao Y, 2022, RENEW ENERG, V188, DOI 10.1016/j.renene.2022.02.051
   Garimella S, 2022, JOULE, V6, P956, DOI 10.1016/j.joule.2022.04.003
   Gernaat DEHJ, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00949-9
   Guo Q, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103250
   He GZ, 2013, ENERG POLICY, V63, P34, DOI 10.1016/j.enpol.2013.06.019
   He YD, 2022, APPL ENERG, V324, DOI 10.1016/j.apenergy.2022.119714
   Herran DS, 2012, APPL ENERG, V91, P130, DOI 10.1016/j.apenergy.2011.09.022
   Horak D, 2022, RENEW SUST ENERG REV, V162, DOI 10.1016/j.rser.2022.112426
   Hu Y, 2023, J BUILD ENG, V65, DOI 10.1016/j.jobe.2022.105627
   Hussain A, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103788
   Hussain A, 2019, APPL ENERG, V240, P56, DOI 10.1016/j.apenergy.2019.02.055
   iea, 2019, Global Energy & CO2 Status Report 2019
   IEA, 2019, Offshore wind outlook 2019
   International Energy Agency (IEA), 2021, Energy and CO2 emissions in urban areas.
   International Renewable Energy Agency (IRENA), 2019, Tidal Energy.
   Jasiunas J, 2021, RENEW SUST ENERG REV, V150, DOI 10.1016/j.rser.2021.111476
   Jebamalai JM, 2020, ENERGY, V202, DOI 10.1016/j.energy.2020.117689
   Ji R, 2023, BUILD ENVIRON, V233, DOI 10.1016/j.buildenv.2023.110113
   Jiang JH, 2016, ENERGY, V109, P866, DOI 10.1016/j.energy.2016.05.060
   Jiang P, 2020, APPL ENERG, V260, DOI 10.1016/j.apenergy.2019.114243
   Kaack LH, 2022, NAT CLIM CHANGE, V12, P518, DOI 10.1038/s41558-022-01377-7
   Kang JN, 2020, APPL ENERG, V263, DOI 10.1016/j.apenergy.2020.114602
   Keirstead J, 2012, RENEW SUST ENERG REV, V16, P3847, DOI 10.1016/j.rser.2012.02.047
   Keirstead J, 2012, ENERGY, V41, P93, DOI 10.1016/j.energy.2011.06.011
   Khan T, 2022, ENERG CONVERS MANAGE, V271, DOI 10.1016/j.enconman.2022.116284
   Khezri R, 2022, RENEW SUST ENERG REV, V153, DOI 10.1016/j.rser.2021.111763
   Kumar A, 2019, APPL ENERG, V253, DOI 10.1016/j.apenergy.2019.113503
   Kurdi Y, 2022, RENEW ENERG, V197, P288, DOI 10.1016/j.renene.2022.07.001
   Lauvergne R, 2022, APPL ENERG, V326, DOI 10.1016/j.apenergy.2022.120030
   Lee JW, 2014, CLIM DYNAM, V42, P733, DOI 10.1007/s00382-013-1841-6
   Lee J, 2020, J BUILD ENG, V28, DOI 10.1016/j.jobe.2019.101016
   Li H, 2019, RENEW ENERG, V133, P1268, DOI 10.1016/j.renene.2018.09.012
   Li JZ, 2020, ENERGY, V208, DOI 10.1016/j.energy.2020.118387
   Li Q, 2022, ENERG BUILDINGS, V277, DOI 10.1016/j.enbuild.2022.112470
   Li SR, 2023, ENERG CONVERS MANAGE, V283, DOI 10.1016/j.enconman.2023.116918
   Li SR, 2022, ENERG CONVERS MANAGE, V273, DOI 10.1016/j.enconman.2022.116402
   Li XY, 2023, ENERGY, V263, DOI 10.1016/j.energy.2022.125940
   Li X, 2022, APPL ENERG, V309, DOI 10.1016/j.apenergy.2021.118455
   Li Y., 2019, Renew. Energy., V132, P1134
   Liu HQ, 2022, WASTE MANAGE, V154, P160, DOI 10.1016/j.wasman.2022.10.001
   Liu J, 2021, APPL ENERG, V302, DOI 10.1016/j.apenergy.2021.117578
   Liu JH, 2021, APPL ENERG, V281, DOI 10.1016/j.apenergy.2020.116107
   Liu ZX, 2021, RENEW ENERG, V173, P401, DOI 10.1016/j.renene.2021.03.106
   Liu ZJ, 2019, RENEW SUST ENERG REV, V101, P329, DOI 10.1016/j.rser.2018.11.023
   Lobaccaro G, 2019, RENEW SUST ENERG REV, V108, P209, DOI 10.1016/j.rser.2019.03.041
   Lu D, 2022, APPL ENERG, V312, DOI 10.1016/j.apenergy.2022.118746
   Lu YK, 2021, ENERG BUILDINGS, V233, DOI 10.1016/j.enbuild.2020.110658
   Ma TF, 2018, ENERGY, V160, P122, DOI 10.1016/j.energy.2018.06.198
   Mallapragada DS, 2020, APPL ENERG, V275, DOI 10.1016/j.apenergy.2020.115390
   Martin N, 2021, RENEW SUST ENERG REV, V137, DOI 10.1016/j.rser.2020.110617
   Marvuglia A, 2020, RENEW SUST ENERG REV, V124, DOI 10.1016/j.rser.2020.109788
   Mavromatidis G, 2021, APPL ENERG, V288, DOI 10.1016/j.apenergy.2021.116585
   Mavromatidis G, 2019, BUILD ENVIRON, V165, DOI 10.1016/j.buildenv.2019.106372
   Mehrjerdi H, 2021, J ENERGY STORAGE, V37, DOI 10.1016/j.est.2021.102454
   Meng WH, 2024, ADV MATER, V36, DOI 10.1002/adma.202304910
   Mohajeri N, 2019, APPL ENERG, V240, P173, DOI 10.1016/j.apenergy.2019.02.014
   Mohseni S, 2023, APPL ENERG, V341, DOI 10.1016/j.apenergy.2023.121007
   Morvaj B, 2016, ENERGY, V116, P619, DOI 10.1016/j.energy.2016.09.139
   Mousavi S, 2022, ENERG BUILDINGS, V263, DOI 10.1016/j.enbuild.2022.112053
   Mu YF, 2022, APPL ENERG, V323, DOI 10.1016/j.apenergy.2022.119683
   Murshed M, 2023, ENERGY, V267, DOI 10.1016/j.energy.2022.126547
   Niemi R, 2012, RENEW ENERG, V48, P524, DOI 10.1016/j.renene.2012.05.017
   Nik VM, 2021, NATL SCI REV, V8, DOI 10.1093/nsr/nwaa134
   Oswald Y, 2020, NAT ENERGY, V5, P231, DOI 10.1038/s41560-020-0579-8
   Pan Y, 2020, APPL ENERG, V268, DOI 10.1016/j.apenergy.2020.114965
   Penazzi S, 2019, J CLEAN PROD, V235, P96, DOI 10.1016/j.jclepro.2019.06.252
   de Lucena AFP, 2009, ENERG POLICY, V37, P879, DOI 10.1016/j.enpol.2008.10.029
   Perera ATD, 2023, RENEW SUST ENERG REV, V173, DOI 10.1016/j.rser.2022.113038
   Perera ATD, 2018, APPL ENERG, V222, P847, DOI 10.1016/j.apenergy.2018.04.004
   Petrucci A, 2022, ENERG CONVERS MANAGE, V268, DOI 10.1016/j.enconman.2022.115995
   Qin D, 2021, RENEW ENERG, V167, P542, DOI 10.1016/j.renene.2020.11.113
   Rad MAV, 2020, ENERGY, V190, DOI 10.1016/j.energy.2019.116421
   Rahif R, 2022, BUILD ENVIRON, V223, DOI 10.1016/j.buildenv.2022.109397
   Rahimi K, 2018, SUSTAIN CITIES SOC, V36, P246, DOI 10.1016/j.scs.2017.10.006
   Reddy BVS, 2008, BIOENERG RES, V1, P248, DOI 10.1007/s12155-008-9022-x
   Ren HB, 2022, ENERGY, V261, DOI 10.1016/j.energy.2022.125333
   Ren LY, 2018, APPL ENERG, V210, P1251, DOI 10.1016/j.apenergy.2017.06.006
   Rolnick D, 2023, ACM COMPUT SURV, V55, DOI 10.1145/3485128
   Roudbari A, 2021, SUSTAIN ENERGY GRIDS, V28, DOI 10.1016/j.segan.2021.100547
   Scrosati B, 2011, ENERG ENVIRON SCI, V4, P3287, DOI 10.1039/c1ee01388b
   sel.me.wisc, TRNSYS 18
   Sepulveda-Mora SB, 2022, RENEW ENERG, V192, P731, DOI 10.1016/j.renene.2022.04.090
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Shono K, 2023, SOL ENERGY, V253, P137, DOI 10.1016/j.solener.2023.02.025
   Solaun K, 2019, RENEW SUST ENERG REV, V116, DOI 10.1016/j.rser.2019.109415
   Somu N, 2021, RENEW SUST ENERG REV, V137, DOI 10.1016/j.rser.2020.110591
   Song AY, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-49868-9
   Song AY, 2023, J CLEAN PROD, V415, DOI 10.1016/j.jclepro.2023.137797
   Suganthi L, 2015, RENEW SUST ENERG REV, V48, P585, DOI 10.1016/j.rser.2015.04.037
   Tan H, 2023, APPL ENERG, V330, DOI 10.1016/j.apenergy.2022.120343
   Borges CLT, 2012, RENEW SUST ENERG REV, V16, P4008, DOI 10.1016/j.rser.2012.03.055
   Tian MW, 2021, ENERGY, V215, DOI 10.1016/j.energy.2020.119058
   TRNSYS, About us
   U.S. Energy Information Administration, 2021, Electricity Losses and Efficiency
   United Nations Development Programme (UNDP), 2013, Energy and environment: the case of urban sustainability.
   United Nations Environment Programme, 2011, Global Report on Human Settlements, Cities and Climate Change
   Vitale F, 2021, ENERGY, V225, DOI 10.1016/j.energy.2021.120304
   Viviescas C, 2019, RENEW SUST ENERG REV, V113, DOI 10.1016/j.rser.2019.06.039
   Wang HJ, 2021, RENEW ENERG, V163, P188, DOI 10.1016/j.renene.2020.08.147
   Wang Q, 2020, ENERGY, V207, DOI 10.1016/j.energy.2020.118200
   Wang Q, 2020, ENERGY, V202, DOI 10.1016/j.energy.2020.117765
   Wang QS, 2019, PROG ENERG COMBUST, V73, P95, DOI 10.1016/j.pecs.2019.03.002
   Wang S., 2019, Energ. Conver. Manage., V184, P149
   Wang SB, 2021, ENERGY, V232, DOI 10.1016/j.energy.2021.121091
   Wang XN, 2022, ENERG BUILDINGS, V260, DOI 10.1016/j.enbuild.2022.111923
   Wang Y, 2021, SUSTAIN ENERGY GRIDS, V26, DOI 10.1016/j.segan.2021.100464
   Wang Y, 2021, APPL ENERG, V304, DOI 10.1016/j.apenergy.2021.117766
   Watkiss P, 2015, WIRES CLIM CHANGE, V6, P541, DOI 10.1002/wcc.368
   Wilberforce T, 2023, J CLEAN PROD, V394, DOI 10.1016/j.jclepro.2023.136137
   Wu CT, 2022, APPL ENERG, V322, DOI 10.1016/j.apenergy.2022.119452
   Wu S, 2020, RENEW SUST ENERG REV, V119, DOI 10.1016/j.rser.2019.109584
   Xia T, 2022, RENEW SUST ENERG REV, V160, DOI 10.1016/j.rser.2022.112203
   Xiang XW, 2022, APPL ENERG, V322, DOI 10.1016/j.apenergy.2022.119401
   Xiao M, 2014, RENEW SUST ENERG REV, V40, P633, DOI 10.1016/j.rser.2014.07.147
   Xie LY, 2020, CHINA ECON REV, V59, DOI 10.1016/j.chieco.2019.101374
   Xue JL, 2017, RENEW SUST ENERG REV, V73, P1, DOI 10.1016/j.rser.2017.01.098
   Yang DZ, 2022, SOL ENERGY, V232, P263, DOI 10.1016/j.solener.2021.12.011
   Yang YQ, 2022, RENEW SUST ENERG REV, V167, DOI 10.1016/j.rser.2022.112671
   Yang ZK, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128214
   You C, 2020, ENERG CONVERS MANAGE, V223, DOI 10.1016/j.enconman.2020.113252
   Zakernezhad H, 2021, APPL ENERG, V299, DOI 10.1016/j.apenergy.2021.117271
   Zhang B, 2023, APPL ENERG, V339, DOI 10.1016/j.apenergy.2023.120902
   Zhang B, 2022, RENEW ENERG, V200, P433, DOI 10.1016/j.renene.2022.09.125
   Zhang D, 2020, ENERGY, V192, DOI 10.1016/j.energy.2019.116522
   Zhang H, 2022, RENEW ENERG, V200, P303, DOI 10.1016/j.renene.2022.10.004
   Zhang HM, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15826-4
   Zhang K, 2021, ENERGY, V220, DOI 10.1016/j.energy.2020.119640
   Zhang X., 2024, Cell Rep. Phys. Sci.
   Zhang YC, 2021, ENERGY, V216, DOI 10.1016/j.energy.2020.119171
   Zhao J, 2020, SOL ENERGY, V206, P997, DOI 10.1016/j.solener.2020.05.090
   Zheng XY, 2024, ENERGY, V288, DOI 10.1016/j.energy.2023.129649
   Zhou L, 2023, ENERG CONVERS MANAGE, V277, DOI 10.1016/j.enconman.2022.116610
   Zhou Y., 2022, Energy Rev, V1, DOI [10.1016/j.enrev.2022.100001, DOI 10.1016/J.ENREV.2022.100001]
   Zhou Y., 2023, Appl. Energy
   Zhou Y., 2024, Carbon. Footprints., V3, P9
   Zhou Y, 2023, Energy Reviews, V2, DOI [10.1016/j.enrev.2023.100026, DOI 10.1016/J.ENREV.2023.100026]
   Zhou Y., 2021, PhD dissertation
   Zhou YT, 2022, ENERGY, V261, DOI 10.1016/j.energy.2022.125187
   Zhou YK, 2024, APPL ENERG, V371, DOI 10.1016/j.apenergy.2024.123665
   Zhou YK, 2024, ENERG BUILDINGS, V315, DOI 10.1016/j.enbuild.2024.114289
   Zhou YK, 2024, RENEW SUST ENERG REV, V199, DOI 10.1016/j.rser.2024.114466
   Zhou YK, 2024, ENERG BUILDINGS, V308, DOI 10.1016/j.enbuild.2024.114004
   Zhou YK, 2023, RENEW ENERG, V207, P177, DOI 10.1016/j.renene.2023.02.125
   Zhou YK, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104378
   Zhou YK, 2022, APPL ENERG, V328, DOI 10.1016/j.apenergy.2022.120196
   Zhou YK, 2022, ENERGY AI, V10, DOI 10.1016/j.egyai.2022.100189
   Zhou YK, 2023, ENERG BUILDINGS, V279, DOI 10.1016/j.enbuild.2022.112649
   Zhou YK, 2022, RENEW ENERG, V199, P204, DOI 10.1016/j.renene.2022.08.128
   Zhou YK, 2022, ENERGY, V256, DOI 10.1016/j.energy.2022.124668
   Zhou YK, 2022, RENEW SUST ENERG REV, V162, DOI 10.1016/j.rser.2022.112444
   Zhou YK, 2022, APPL ENERG, V318, DOI 10.1016/j.apenergy.2022.119131
   Zhou YK, 2020, RENEW SUST ENERG REV, V130, DOI 10.1016/j.rser.2020.109889
   Zhou YK, 2020, ENERG CONVERS MANAGE, V218, DOI 10.1016/j.enconman.2020.113017
   Zhou YK, 2020, RENEW ENERG, V153, P375, DOI 10.1016/j.renene.2020.01.133
   Zhou YK, 2020, ENERG CONVERS MANAGE, V214, DOI 10.1016/j.enconman.2020.112891
   Zhou YK, 2020, SUSTAIN ENERGY GRIDS, V21, DOI 10.1016/j.segan.2020.100304
   Zhou YK, 2020, APPL ENERG, V262, DOI 10.1016/j.apenergy.2019.114416
   Zhou YK, 2020, ENERGY, V192, DOI 10.1016/j.energy.2019.116608
   Zhou YK, 2019, ENERG CONVERS MANAGE, V199, DOI 10.1016/j.enconman.2019.111888
   Zhou YK, 2018, APPL THERM ENG, V144, P1091, DOI 10.1016/j.applthermaleng.2018.04.083
   Zhu YF, 2022, J CLEAN PROD, V366, DOI 10.1016/j.jclepro.2022.132891
NR 211
TC 8
Z9 8
U1 84
U2 94
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD OCT 15
PY 2024
VL 321
AR 114661
DI 10.1016/j.enbuild.2024.114661
EA AUG 2024
PG 19
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA F7R3V
UT WOS:001311742900001
DA 2025-04-22
ER

PT J
AU Xiao, SP
   Zhou, P
   Zhou, L
   Wong, SK
AF Xiao, Suping
   Zhou, Ping
   Zhou, Lin
   Wong, Sike
TI Digital economy and urban economic resilience: The mediating role of
   technological innovation and entrepreneurial vitality
SO PLOS ONE
LA English
DT Article
ID ADAPTIVE RESILIENCE; EVOLUTION; MODEL
AB Drawing on the diffusion of innovation theory, we argue that the development of digital economy has a positive effect on urban economic resilience. Using panel data from 284 cities in China from 2011 to 2018, we empirically examine the relationship between digital economy and urban economic resilience. We find a positive and significant link between them, mediated by technological innovation and entrepreneurial vitality. Moreover, the heterogeneity analysis shows that the impact of digital economy is most pronounced in smaller cities, with its effects diminishing in larger cities and megacities. Our results underscore the importance and the direction of fostering digital economy development.
C1 [Xiao, Suping] Zhejiang Inst Adm, Dept Business Adm, Hangzhou, Peoples R China.
   [Zhou, Ping] Guangdong Univ Foreign Studies, Sch Business, Guangzhou, Peoples R China.
   [Zhou, Lin] Guangdong Polytech Normal Univ, Sch Business, Guangzhou, Peoples R China.
   [Wong, Sike] Shenzhen Polytech Univ, Shenzhen, Peoples R China.
C3 Guangdong University of Foreign Studies; Guangdong Polytechnic Normal
   University; Shenzhen Polytechnic University
RP Wong, SK (corresponding author), Shenzhen Polytech Univ, Shenzhen, Peoples R China.
EM wangsk3@szpt.edu.cn
OI Zhou, Lin/0000-0003-4284-6760; Wong, Sike/0009-0001-0833-0368
FU Shenzhen Polytechnic University [6023312016S]
FX This study was supported by the 2023 School-level Scientific Research
   Initiation Project of Shenzhen Polytechnic University [6023312016S] in
   the form of a grant to SW.
CR Allam Z, 2019, ECONOMIES, V7, DOI 10.3390/economies7020062
   Aniqoh NAFA., 2020, INT J SOC SCI BUS, V4, P519, DOI [10.23887/ijssb.v4i4.28881, DOI 10.23887/IJSSB.V4I4.28881]
   Baptista J, 2020, J STRATEGIC INF SYST, V29, DOI 10.1016/j.jsis.2020.101618
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Bristow G, 2018, ANN REGIONAL SCI, V60, P265, DOI 10.1007/s00168-017-0841-6
   Cainelli G, 2019, PAP REG SCI, V98, P755, DOI 10.1111/pirs.12377
   Ciulli F, 2019, J CLEAN PROD, V214, P995, DOI 10.1016/j.jclepro.2018.12.295
   Dahesh MB, 2020, TECHNOL SOC, V63, DOI 10.1016/j.techsoc.2020.101399
   Dong T, 2023, SYSTEMS-BASEL, V11, DOI 10.3390/systems11010011
   Dormady NC, 2022, INT J PROD ECON, V244, DOI 10.1016/j.ijpe.2021.108371
   Galvao A, 2019, J SCI TECHNOL POLICY, V10, P812, DOI 10.1108/JSTPM-10-2018-0103
   Gauri DK, 2021, J RETAILING, V97, P42, DOI 10.1016/j.jretai.2020.11.002
   Ghobakhloo M, 2020, INT J PROD RES, V58, P2384, DOI 10.1080/00207543.2019.1630775
   Gontareva I, 2018, TEM J, V7, P813, DOI 10.18421/TEM74-19
   He D, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.987396
   Kong L, 2022, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-022-20891-x
   Kumar S., 2023, Asian Business Management, P1
   Lu X., 2023, Fiscal Research, P63
   Ma D, 2022, J BUS RES, V145, P801, DOI 10.1016/j.jbusres.2022.03.041
   Martin R., 2020, Handbook on Regional Economic Resilience, P10
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mavrodieva A.V., 2019, International Journal of Disaster Risk Management, V1, P32, DOI [10.18485/ijdrm.2019.1.1.2, DOI 10.18485/IJDRM.2019.1.1.2]
   Canh NP, 2020, ANN TOURISM RES, V85, DOI 10.1016/j.annals.2020.103063
   Novak DC, 2021, J BUS LOGIST, V42, P323, DOI 10.1111/jbl.12270
   Nunn N, 2014, AM ECON REV, V104, P1630, DOI 10.1257/aer.104.6.1630
   Östh J, 2018, NETW SPAT ECON, V18, P313, DOI 10.1007/s11067-017-9375-9
   Petersen JA, 2022, INT J RES MARK, V39, P566, DOI 10.1016/j.ijresmar.2021.09.010
   Pouri MJ, 2021, ENVIRON INNOV SOC TR, V38, P127, DOI 10.1016/j.eist.2020.12.003
   Rocchetta S, 2019, REG STUD, V53, P1421, DOI 10.1080/00343404.2019.1577552
   Rogers E.M., 2003, DIFFUSION INNOVATION
   Sahut JM, 2021, SMALL BUS ECON, V56, P1159, DOI 10.1007/s11187-019-00260-8
   Saleem I, 2023, J THEOR APPL EL COMM, V18, P1419, DOI 10.3390/jtaer18030071
   Saleem I, 2023, J CHIN ECON FOREIGN, V16, P242, DOI 10.1108/JCEFTS-05-2023-0019
   Saleem I, 2023, BEHAV SCI-BASEL, V13, DOI 10.3390/bs13020119
   Skare M, 2023, INT J INFORM MANAGE, V68, DOI 10.1016/j.ijinfomgt.2022.102594
   Sturgeon TJ, 2021, GLOB STRATEG J, V11, P34, DOI 10.1002/gsj.1364
   Tian ZX, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0288065
   Voronkova V, 2023, TEM J, V12, P732, DOI 10.18421/TEM122-17
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang X., 2017, MARKETIZATION INDEX
   Williams L. D., 2021, Int. J. Int. Netw., V2, P122
   Wu JX, 2023, TECHNOL FORECAST SOC, V189, DOI 10.1016/j.techfore.2023.122360
   Ye W., 2022, Economic Research, V53, P157
   Yin S, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.924109
   Yin S, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12060721
   Yin S, 2022, SYSTEMS-BASEL, V10, DOI 10.3390/systems10030072
   Zeshan M, 2023, VINE J INF KNOWL MAN, V53, P1287, DOI 10.1108/VJIKMS-06-2021-0090
   Zhang MD, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0260214
   Zhang X., 2023, J. Econ. Anal., V2, P123, DOI [10.58567/jea02040007, DOI 10.58567/JEA02040007]
   Zheng XF, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0284803
NR 50
TC 2
Z9 2
U1 35
U2 49
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 JUN 28
PY 2024
VL 19
IS 6
AR e0303782
DI 10.1371/journal.pone.0303782
PG 17
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA XB2L4
UT WOS:001259157200003
PM 38941292
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Li, CP
   Pan, LS
   He, J
AF Li, Cunpu
   Pan, Lishuo
   He, Jing
TI Climate Resilience Assessment of Chinese Cities and The Enhancement
   Effect of Fiscal Expenditure
SO EMERGING MARKETS FINANCE AND TRADE
LA English
DT Article; Early Access
DE Climate change; urban climate resilience; regional differences; fiscal
   expenditure; urbanization rate; Q54; R11; H54; Q58
ID ADAPTATION
AB Climate change represents a prevalent challenge for humanity, heavily impacting cities. Enhancing their climate resilience is crucial for mitigating and adapting to associated risks and losses. This paper evaluates the climate resilience of 270 major cities in China by developing an indicator system focused on exposure, vulnerability, and resilience. It analyzes the spatial and temporal evolution trends of climate resilience in Chinese cities and the sources of regional differences using Kernel density analysis and Dagum Gini coefficient decomposition. Furthermore, the research explores the influence of financial investments on urban climate resilience, considering the moderating effect of the urbanization rate.
C1 [Li, Cunpu] Xian Int Studies Univ, Sch Econ & Finance, Xian, Peoples R China.
   [Pan, Lishuo] Woosong Univ, SolBridge Int Sch Business, 171 Dongdaejeon Ro, Daejeon 34606, South Korea.
   [He, Jing] Xian Univ Architecture & Technol, Sch Management, Xian, Peoples R China.
C3 Xi'an International Studies University; Woosong University; Xi'an
   University of Architecture & Technology
RP Pan, LS (corresponding author), Woosong Univ, SolBridge Int Sch Business, 171 Dongdaejeon Ro, Daejeon 34606, South Korea.
EM lsp48955@gmail.com
FU General Project of Shaanxi Provincial Department of Science and
   Technology [2022jm-432, S2023-ZC-RKXMS-0068]; Key Project of Scientific
   Research Programme of Shaanxi Provincial Department of Education
   [21jz037]
FX This research was funded by General Project of Shaanxi Provincial
   Department of Science and Technology, grant number [2022jm-432]; Key
   Project of Scientific Research Programme of Shaanxi Provincial
   Department of Education, grant number [21jz037]; General Project of
   Shaanxi Provincial Department of Science and Technology, grant number
   [S2023-ZC-RKXMS-0068].
CR Abbass K, 2022, ENVIRON SCI POLLUT R, V29, P42539, DOI 10.1007/s11356-022-19718-6
   Aligishiev M. Z., 2022, International Monetary Fund, V2022, P1, DOI [10.5089/9798400201608.066, DOI 10.5089/9798400201608.066]
   [Anonymous], 2015, The Economic Consequences of Climate Change, DOI DOI 10.1787/9789264235410-EN
   Bulkeley H., 2003, Cities and Climate Change
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Dale A, 2020, CLIM POLICY, V20, P866, DOI 10.1080/14693062.2019.1651244
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Fawzy S, 2020, ENVIRON CHEM LETT, V18, P2069, DOI 10.1007/s10311-020-01059-w
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Li C., 2017, Chinas urbanization and socioeconomic impact, P91, DOI [10.1007/978-981-10-4831-96, DOI 10.1007/978-981-10-4831-96]
   Msangi S, 2006, CLIMATE RES, V33, P67, DOI 10.3354/cr033067
   Pigato M., 2019, Fiscal Policies for Development and Climate Action. International Development in Focus, DOI [10.1099/jmm.0.061242-0, DOI 10.1099/JMM.0.061242-0]
   Siders AR, 2017, REG ENVIRON CHANGE, V17, P1801, DOI 10.1007/s10113-017-1153-1
   United Nations, 2020, World Social Report 2020: Inequality in a Rapidly Changing World
   Vogler J., 2018, Oxford handbook of energy and society
   Wang WW, 2018, ROY SOC OPEN SCI, V5, DOI 10.1098/rsos.180612
   Wen JH, 2023, INT J DISAST RISK SC, V14, P1, DOI 10.1007/s13753-023-00472-3
   Xu S., 2022, Finance, V2, P59
   Zhang M., 2018, Ecological Economy, V34, P154
   Zhang S.S., 2023, STAT DECISION, V39, P110
   Zhao C., 2018, The Journal of Ecology, V38, P3238
   Zheng Y., 2017, City, V6, P22
NR 27
TC 0
Z9 0
U1 15
U2 15
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1540-496X
EI 1558-0938
J9 EMERG MARK FINANC TR
JI Emerg. Mark. Financ. Trade
PD 2025 FEB 10
PY 2025
DI 10.1080/1540496X.2025.2459750
EA FEB 2025
PG 15
WC Business; Economics; International Relations
WE Social Science Citation Index (SSCI)
SC Business & Economics; International Relations
GA W3X1J
UT WOS:001417937200001
DA 2025-04-22
ER

PT J
AU Li, Y
   Li, YF
   Kappas, M
   Pavao-Zuckerman, M
AF Li, Yi
   Li, Yangfan
   Kappas, Martin
   Pavao-Zuckerman, Mitchell
TI Identifying the key catastrophic variables of urban social-environmental
   resilience and early warning signal
SO ENVIRONMENT INTERNATIONAL
LA English
DT Article
DE Social-environmental system; Catastrophe theory; Early warning; Tipping
   point; Probability distribution equilibrium
ID ECOLOGICAL RESILIENCE; SUSTAINABILITY; URBANIZATION; SCALE
AB Pursuit of sustainability requires a systematic approach to understand a system's specific dynamics to adapt and enhance from disturbances in social-environmental systems. We developed a systematic resilience assessment of social-environmental systems by connecting catastrophe theory and probability distribution equilibrium. Catastrophe models were used to calculate resilience shifts between slow and fast variables; afterwards, two resilience transition modes ("Less resilient" or "More resilient") were addressed by using probability distribution equilibrium analysis. A tipping point that occurs in "Less resilient" system suggests that the critical resilience transition can be an early warning signal of approaching threshold. Catastrophic shifts were explored between the interacting social-environmental sub-systems of land use and energy (fast variables) and environmental pollution (slow variables), which also identifies the critical factors in maintaining the integrated social-environmental resilience. Furthermore, the early warning signals enable the adaptability of urban systems and their resilience to perturbations, and provide guidelines for urban social-environmental management.
C1 [Li, Yi; Li, Yangfan] Xiamen Univ, Coll Environm & Ecol, Minist Educ, Key Lab Coastal & Wetland Ecosyst, South XiangAn Rd, Xiamen 361102, Peoples R China.
   [Li, Yangfan] Xiamen Univ, Fujian Prov Key Lab Coastal Ecol & Environm Studi, Xiamen 361102, Peoples R China.
   [Kappas, Martin] Georg August Univ Goettingen, Inst Geog, Dept Cartog GIS & Remote Sensing, D-37077 Gottingen, Germany.
   [Pavao-Zuckerman, Mitchell] Univ Maryland, Dept Environm Sci & Technol, College Pk, MD 20742 USA.
   [Pavao-Zuckerman, Mitchell] Univ Maryland, Cluster Sustainabil Built Environm, College Pk, MD 20740 USA.
C3 Xiamen University; Xiamen University; University of Gottingen;
   University System of Maryland; University of Maryland College Park;
   University System of Maryland; University of Maryland College Park
RP Li, YF (corresponding author), Xiamen Univ, Coll Environm & Ecol, Minist Educ, Key Lab Coastal & Wetland Ecosyst, South XiangAn Rd, Xiamen 361102, Peoples R China.
EM yangf@xmu.edu.cn
RI LI, Yangfan/AAD-9857-2022; Kappas, Martin/B-2597-2017
OI Li, Yi/0000-0002-7871-5351; Li, Yangfan/0000-0002-5419-7051;
   Pavao-Zuckerman, Mitchell/0000-0002-9657-2892; Kappas,
   Martin/0000-0002-3173-4870
FU National Natural Science Foundation of China (NSFC) [41671084]; China
   Postdoctoral Science Foundation [2017M610394]
FX We thank Matthew Gaudreau at University of Waterloo, Peilei Fan at
   Michigan State University and Harold Mooney at Stanford University for
   their helpful comments on the manuscript and language correction. We
   also thank Bingchao Yin, Quanli Wang and Zheng Li for their
   contributions. This research was supported by the National Natural
   Science Foundation of China (NSFC) Grants 41671084 and China
   Postdoctoral Science Foundation (2017M610394).
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Allington GRH, 2017, ENVIRON SCI POLICY, V68, P35, DOI 10.1016/j.envsci.2016.11.005
   Brelsford C, 2017, P NATL ACAD SCI USA, V114, P8963, DOI 10.1073/pnas.1606033114
   Chapman R, 2016, ENVIRON INT, V94, P380, DOI 10.1016/j.envint.2016.04.014
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   Downes BJ, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014041
   Fiksel J, 2003, ENVIRON SCI TECHNOL, V37, P5330, DOI 10.1021/es0344819
   Folke C, 2016, RESILIENCE OXFORD RE
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   Li Y., 2017, J CLEAN PRO IN PRESS
   Li Y, 2015, ECOL MODEL, V318, P100, DOI 10.1016/j.ecolmodel.2015.01.028
   Lignos XA, 2002, INT J NUMER METH ENG, V54, P175, DOI 10.1002/nme.416
   Lin BB, 2013, ECOL SOC, V18, DOI 10.5751/ES-05128-180128
   Lin T, 2013, OCEAN COAST MANAGE, V81, P90, DOI 10.1016/j.ocecoaman.2012.06.014
   Little JC, 2016, ENVIRON SCI TECHNOL, V50, P6830, DOI 10.1021/acs.est.6b00298
   Mohamad IB., 2013, RES J APPL SCI ENG T, V6, P3299, DOI 10.19026/rjaset.6.3638
   Mooney HA, 2013, P NATL ACAD SCI USA, V110, P3665, DOI 10.1073/pnas.1107484110
   Palmer MA, 2016, CURR OPIN ENV SUST, V19, P111, DOI 10.1016/j.cosust.2016.01.002
   Perz SG, 2013, ECOL MODEL, V263, P174, DOI 10.1016/j.ecolmodel.2013.04.024
   Sayles JS, 2017, P NATL ACAD SCI USA, V114, pE1776, DOI 10.1073/pnas.1604405114
   Scheffer M, 2003, TRENDS ECOL EVOL, V18, P648, DOI 10.1016/j.tree.2003.09.002
   Scheffer M, 2009, NATURE, V461, P53, DOI 10.1038/nature08227
   Singh RK, 2009, ECOL INDIC, V9, P189, DOI 10.1016/j.ecolind.2008.05.011
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Turner BL, 2016, CURR OPIN ENV SUST, V19, P160, DOI 10.1016/j.cosust.2016.04.001
   Walker B., 2012, RESILIENCE PRACTICE
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   ZEEMAN EC, 1976, SCI AM, V234, P65, DOI 10.1038/scientificamerican0476-65
NR 28
TC 25
Z9 25
U1 11
U2 119
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0160-4120
EI 1873-6750
J9 ENVIRON INT
JI Environ. Int.
PD APR
PY 2018
VL 113
BP 184
EP 190
DI 10.1016/j.envint.2018.02.006
PG 7
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA GB3RZ
UT WOS:000428976700022
PM 29428608
DA 2025-04-22
ER

PT J
AU Wagenaar, H
   Wilkinson, C
AF Wagenaar, Hendrik
   Wilkinson, Cathy
TI Enacting Resilience: A Performative Account of Governing for Urban
   Resilience
SO URBAN STUDIES
LA English
DT Article
DE biodiversity; Melbourne; practice; social-ecological resilience;
   strategic environmental assessment; strategic spatial planning; urban
   governance
ID GOVERNANCE; PERSPECTIVE; METAPHOR
AB Resilience is an increasingly important urban policy discourse that has been taken up at a rapid pace. Yet there is an apparent gap between the advocacy of social-ecological resilience in scientific literature and its take-up in policy discourse on the one hand, and the demonstrated capacity to govern for resilience in practice on the other. This paper explores this gap by developing a performative account of how social-ecological resilience is dealt with in practice through case study analysis of how protection of biodiversity was negotiated in response to Melbourne's recent metropolitan planning initiative. It is suggested that a performative account expands the possible opportunities for governing for social-ecological resilience beyond the concept's use as a metaphor, measurement, cognitive frame or programmatic statement of adaptive management/co-management and has the potential to emerge through what has been called the everyday mangle of practice' in response to social-ecological feedback inherent to policy processes.
C1 [Wagenaar, Hendrik] Univ Sheffield, Dept Town & Reg Planning, Western Bank, Sheffield S10 2TN, S Yorkshire, England.
   [Wilkinson, Cathy] Stockholm Univ, Stockholm Resilience Ctr, SE-10691 Stockholm, Sweden.
C3 University of Sheffield; Stockholm University
RP Wagenaar, H (corresponding author), Univ Sheffield, Dept Town & Reg Planning, Western Bank, Sheffield S10 2TN, S Yorkshire, England.
EM h.wagenaar@sheffield.ac.uk; wilkinson_cathy@yahoo.com.au
OI Wilkinson, Cathy/0000-0001-9916-4256
FU Formas; Urban-Net; Mistra
FX This research is supported by grants from the Swedish and European
   funding agencies Formas, Urban-Net and Mistra. In particular, funding
   for the following projects are acknowledged: "Integrating ecosystem
   services in urban planning", "Green wedges as urban commons: Applying a
   complex social-ecological system approach to sustainable urban planning"
   and "SUPER-Sustainable Urban Planning for Ecosystem services and
   Resilience".
CR Abram S, 2011, ETHNOS, V76, P3, DOI 10.1080/00141844.2010.544855
   Adler Emanuel, 2011, INT PRACTICES
   AG (Australian Government, 2010, FIN PRESCR GOLD SUN
   Alexander Thomas M., 1987, John Dewey's Theory of Art, Experience, and Nature: The Horizons of Feeling
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   [Anonymous], 2008, MANGLE PRACTICE SCI
   [Anonymous], 2002, FRIENDLY FIRE ACCIDE
   [Anonymous], 2007, ADAPTIVE COMANAGEMEN
   Ansell C.K., 2011, Pragmatist democracy: Evolutionary learning as public philosophy
   Barnes Barry., 2001, PRACTICE TURN CONT T, P17
   Beiner R., 1983, POLITICAL JUDGEMENT
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Bernstein R., 2010, PRAGMATIC TURN
   Biggs R, 2009, P NATL ACAD SCI USA, V106, P826, DOI 10.1073/pnas.0811729106
   Brand FS, 2007, ECOL SOC, V12
   CALLON M, 1986, SOCIOL RE MONOGR, P196, DOI 10.1111/j.1467-954X.1984.tb00113.x
   Capek Milic., 1971, Bergson and Modern Physics: A Reinterpretation and Re-evaluation
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cash DW, 2006, ECOL SOC, V11
   Cook SDN, 2012, AM REV PUBLIC ADM, V42, P3, DOI 10.1177/0275074011407404
   Cook SDN, 2008, PHILOSOPHY AND DESIGN: FROM ENGINEERING TO ARCHITECTURE, P259, DOI 10.1007/978-1-4020-6591-0_20
   Dewey J, 2006, ESSAYS PRAGMATISM TR, V4
   Dewey J, 1925, EXPERIENCE NATURE CO, V1
   DSE, 2009, DEL MELB NEW SUST CO
   DSE (Department of Sustainability and Environment), 2008, NAT VEG NET GAINA CC
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Fischer J, 2009, TRENDS ECOL EVOL, V24, P549, DOI 10.1016/j.tree.2009.03.020
   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
   Folke Carl, 2003, NAVIGATING SOCIAL EC, P352, DOI [10.1017/cbo9780511541957.020, DOI 10.1017/CBO9780511541957.020]
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hacking Ian., 1983, Introductory Topics in the Philosophy of Science, DOI DOI 10.1017/CBO9780511814563
   Hildebrand D. L., 2003, RELIAMS ANTIREALISM
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Huitema D, 2009, ECOL SOC, V14
   Jay M, 2005, SONGS OF EXPERIENCE: MODERN AMERICAN AND EUROPEAN VARIATIONS ON A UNIVERSAL THEME, P1
   Kirsch M., 2011, WHYDHAM PLANNING SCH
   Latour B., 1987, Science in action
   Latour Bruno, 1979, Laboratory Life: The Construction of Scientific Facts
   Law J., 2009, COLLATERAL REALITES
   Law J., 2004, AFTER METHOD
   Orlikowski WJ, 2007, ORGAN STUD, V28, P1435, DOI 10.1177/0170840607081138
   Pickering Andrew., 2010, The Mangle of Practice: Time, Agency, and Science
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Schon D.A.M. Rein., 1994, FRAME REFLECTION RES
   Taylor Charles., 1991, Philosophical Arguments
   Turnbull D, 2012, ST U BABE-BOL PHILOS, V57, P9
   Vickers G, 1984, HUMAN SYSTEMS DIFFER
   Voss JP, 2011, ECOL SOC, V16
   Wagenaar H., 2003, DELIBERATIVE POLICY, P139, DOI DOI 10.1017/CBO9780511490934.007
   Wagenaar H, 2012, CRIT POLICY STUD, V6, P85, DOI 10.1080/19460171.2012.659890
   Wagenaar H, 2011, EVID POLICY, V7, P193, DOI 10.1332/174426411X579225
   Wagenaar Hendrik., 2011, MEANING ACTION INTER
   Whittington R, 2006, ORGAN STUD, V27, P613, DOI 10.1177/0170840606064101
   Wilkinson C., 2010, Critical Planning, P25
   Wilkinson C, 2012, PLAN THEORY PRACT, V13, P319
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
NR 58
TC 72
Z9 74
U1 19
U2 129
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 MAY
PY 2015
VL 52
IS 7
SI SI
BP 1265
EP 1284
DI 10.1177/0042098013505655
PG 20
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA CE5EL
UT WOS:000351853200004
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Sharma, SE
AF Sharma, Sarah E.
TI Reactive, Individualistic and Disciplinary: The Urban Resilience Project
   in Dhaka
SO NEW POLITICAL ECONOMY
LA English
DT Article
DE Resilience; neoliberalization; urban development; World Bank; climate
   governance; flooding
ID CLIMATE; CRITIQUE
AB The World Bank's Urban Resilience Project (URP) champions resilience as the best response to tackle environmental hazards faced by inhabitants in Dhaka, Bangladesh without sacrificing economic development. Embedded within neoliberal risk management and sustainable development frameworks, the URP supports ongoing forms of urban expansion and densification in Dhaka as the key driver of Bangladesh's economic growth, purporting that this strategy will enable the city to address increasing and intensifying forms of flooding, heat waves, fires and earthquake risk. This paper argues that the URP depoliticises the causes of and proposed solutions to environmental hazards in Dhaka and the manner in which they are unevenly experienced. Drawing on fieldwork using qualitative methods, this paper posits that three facets guide resilience in Dhaka: reactive neoliberal policies, individualism, and disciplinary control. Ultimately, the URP obfuscates a wider regime of urban development in Dhaka that benefits certain groups (the state, international organisations, elite classes) while further economically and environmentally marginalising those living and working informally. In developing theoretical and empirical contributions to understandings of resilience in global political economy the paper contributes to debates in global political economy and environment, the everyday life of global political economy, and the inter-scalar governance of capitalist societies.
C1 [Sharma, Sarah E.] Queens Univ, Dept Polit Studies, Int Relat, Kingston, ON, Canada.
C3 Queens University - Canada
RP Sharma, SE (corresponding author), Queens Univ, Kingston, ON K7L 3N6, Canada.
EM sarah.sharma@queensu.ca
FU Vanier Canada Graduate Scholarship; Social Sciences and Humanities
   Research Council of Canada (SSHRC); International Development Research
   Council (IDRC)
FX This research is supported by a Vanier Canada Graduate Scholarship,
   executed by the Social Sciences and Humanities Research Council of
   Canada (SSHRC), as well as a Graduate Research Award from the
   International Development Research Council (IDRC).
CR Agarwala P., 2013, UPGRADE HOUSING INFO
   Ahmed I, 2014, AUST PLAN, V51, P272, DOI 10.1080/07293682.2013.837833
   Alam M.J., 2018, Bandung: Journal of the Global South, V5, P1, DOI 10.1186/s40728-018-0046-0
   [Anonymous], 2012, Climate Displacement in Bangladesh
   [Anonymous], 2006, Slums of urban Bangladesh: Mapping and Census, 2005
   [Anonymous], 2015, Investing in urban resilience: protecting and promoting development in a changing world
   [Anonymous], 2013, BUILDING RESILIENCE
   [Anonymous], 2009, World Development Report 2010: Development and Climate Change
   [Anonymous], 2019, DHAKA TRIBUNE   1126
   Baker T., 2002, Embracing Risk: The Changing Culture of Insurance and Responsibility
   Bakker I, 2007, NEW POLIT ECON, V12, P541, DOI 10.1080/13563460701661561
   Best J., 2010, Cultural political economy
   Best Jacqueline., 2014, Governing Failure: Provisional Expertise and the Transformation of Global Development Finance
   Bettini G, 2013, GEOFORUM, V45, P65, DOI 10.1016/j.geoforum.2012.09.009
   Bigger P, 2021, ANN AM ASSOC GEOGR, V111, P36, DOI 10.1080/24694452.2020.1749023
   Bird J., 2018, Toward great Dhaka: A new urban development paradigm eastward. Chapter-3: East and West
   BRASSETT J, 2018, RIPE SER GLOB POLIT, P1
   Brassett J, 2015, SECUR DIALOGUE, V46, P32, DOI 10.1177/0967010614555943
   Brenner N, 2010, GLOBALIZATIONS, V7, P327, DOI 10.1080/14747731003669669
   Brenner N, 2010, GLOBAL NETW, V10, P182, DOI 10.1111/j.1471-0374.2009.00277.x
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brown Katrina., 2016, RESILIENCE DEV GLOBA
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Castree N, 2008, ENVIRON PLANN A, V40, P131, DOI 10.1068/a3999
   Chandler D., 2016, The neoliberal subject: resilience, adaptation and vulnerability, rowman and littlefield, P27
   Chandler D, 2014, RESILIENCE, V2, P47, DOI 10.1080/21693293.2013.878544
   Clapp, 2016, DISTANCING WASTE OVE
   Cutter SL, 2016, GEOGR J, V182, P110, DOI 10.1111/geoj.12174
   Dowling E, 2016, BRIT POLIT, V11, P452, DOI 10.1057/s41293-016-0036-2
   Elias J, 2016, GLOBALIZATIONS, V13, P787, DOI 10.1080/14747731.2016.1155797
   Ervine K, 2013, THIRD WORLD Q, V34, P653, DOI 10.1080/01436597.2013.786288
   Felli R, 2013, NEW POLIT ECON, V18, P337, DOI 10.1080/13563467.2012.687716
   Felli Romain., 2016, RES POLITICAL EC, V31, P267
   Foucault Michel., 1995, Discipline punish: The birth of prisons, V2nd
   Harvey D., 1978, INT J URBAN REGIONAL, V2, P101, DOI DOI 10.1111/J.1468-2427.1978.TB00738.X
   Harvey David., 1982, The Limits to Capital
   Huq S., 2011, Journal of Bangladesh Studies, V13, P1
   Institute Of Governance Studies, 2012, STAT CIT URB GOV GRE
   Ireland P, 2013, GEOFORUM, V47, P158, DOI 10.1016/j.geoforum.2013.01.005
   Jasanoff S., 2004, STATES KNOWLEDGE COP, P1, DOI DOI 10.4324/9780203413845
   Jasanoff S, 2010, THEOR CULT SOC, V27, P233, DOI 10.1177/0263276409361497
   JICA, 2017, DIS RES SOC ALL INT
   JICA DNCC & ASIA S, 2017, URBAN DISASTER RESIL
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Lata LN, 2020, ENVIRON URBAN ASIA, V11, P218, DOI 10.1177/0975425320938520
   MacNeil R, 2012, ENVIRON POLIT, V21, P230, DOI 10.1080/09644016.2012.651900
   Masud F., 2009, GLOBAL BUILT ENV REV, V7, P50
   McMichael P, 2009, THIRD WORLD Q, V30, P247, DOI 10.1080/01436590802622987
   Mikulewicz M, 2020, ANN AM ASSOC GEOGR, V110, P1807, DOI 10.1080/24694452.2020.1736981
   Mikulewicz M, 2020, NEW POLIT ECON, V25, P626, DOI 10.1080/13563467.2019.1625317
   Mikulewicz M, 2019, GEOFORUM, V104, P267, DOI 10.1016/j.geoforum.2019.05.010
   Mitchell K, 2016, ANTIPODE, V48, P724, DOI 10.1111/anti.12203
   Moore P, 2016, NEW MEDIA SOC, V18, P2774, DOI 10.1177/1461444815604328
   Mosse David., 2011, Adventures in Aidland: The Anthropology of Professionals in International Development
   Mowla Q.A., 2013, Journal of Bangladesh Institute of Planners, V6, P23
   O'Malley P, 2010, ECON SOC, V39, P488, DOI 10.1080/03085147.2010.510681
   Peck J, 2002, ANTIPODE, V34, P380, DOI 10.1111/1467-8330.00247
   Peck J, 2002, ECON GEOGR, V78, P331, DOI 10.2307/4140813
   Peck Jamie., 2010, CONSTRUCTIONS NEOLIB
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Power M., 2004, RISK MANAGEMENT EVER, DOI [10.1108/eb023001, DOI 10.1108/EB023001]
   Prasad N, 2009, CLIMATE RESILIENT CITIES: A PRIMER ON REDUCING VULNERABILITIES TO DISASTERS, P1, DOI 10.1596/978-0-8213-7766-6
   Rabbi A.R., 2019, DHAKA TRIBUNE   0816
   Rankin KN, 2013, THIRD WORLD Q, V34, P547, DOI 10.1080/01436597.2013.786282
   Reid J., 2016, NEOLIBERAL SUBJECT R
   Reid J, 2013, INT POLIT SOCIOL, V7, P353, DOI 10.1111/ips.12028
   Reid Julian., 2012, DEV DIALOGUE, V58, P67
   Roberts A., 2016, SOUNDINGS, V62, P657
   Roy A, 2012, PUBLIC CULTURE, V24, P105, DOI 10.1215/08992363-1443574
   Schmidt Florian., 2017, DIGITAL LABOUR MARKE
   Siddique, 2017, DHAKA TRIBUNE
   Slater T., 2014, Open Democracy
   Soederberg S, 2012, GLOBALIZATIONS, V9, P561, DOI 10.1080/14747731.2012.699932
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   TAYLOR M, 2020, GEOFORUM J PHYS HUMA
   Taylor M, 2011, J AGRAR CHANGE, V11, P484, DOI 10.1111/j.1471-0366.2011.00330.x
   UN, 2020, COUNTR PROF BANG
   UNISDR, UNISDR ANN REP 2017
   Van Apeldoorn B, 2007, NEW POLIT ECON, V12, P211, DOI 10.1080/13563460701302984
   Watson I, 2019, NEW POLIT ECON, V24, P441, DOI 10.1080/13563467.2018.1457020
   Watts Michael., 2011, DIALOGUES HUM GEOGR, V1, P84, DOI DOI 10.1177/2043820610386340
   World Bank, 2014, WORLD DEV REP RISK O
   World Bank, 2019, BANGL URB RES PROJ I
   World Bank, 2018, DIRECTIONS DEV COUNT
   World Bank, 2017, GLOB FAC DIS RED REC
   World Bank, 2017, RESULTS RESILIENCE S
NR 88
TC 7
Z9 7
U1 3
U2 18
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1356-3467
EI 1469-9923
J9 NEW POLIT ECON
JI New Polit. Econ.
PD NOV 2
PY 2021
VL 26
IS 6
BP 1078
EP 1091
DI 10.1080/13563467.2021.1899152
EA MAR 2021
PG 14
WC Economics; International Relations; Political Science
WE Social Science Citation Index (SSCI)
SC Business & Economics; International Relations; Government & Law
GA XA6OG
UT WOS:000629218000001
DA 2025-04-22
ER

PT J
AU Vaz, ICM
   Ghisi, E
AF Vaz, Igor Catao Martins
   Ghisi, Enedir
TI Rainwater harvesting through roofs and stormwater harvesting through
   pervious pavements: A Life Cycle Assessment and decision-making
   comparison
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Rainwater; Stormwater; Sustainable urban drainage systems; LCA; Pervious
   pavements
ID SUSTAINABILITY
AB Water consumption and the building sector are among the top contributors to environmental impacts worldwide. Also, sustainable practices have been constantly encouraged in both sectors to mitigate water scarcity and provide resilience to cities. Thus, studies that provide an environmental assessment and discuss the decisionmaking process are essential for enabling the augmentation of sustainable practices. This research aims to contribute to the discussion on sustainability by conducting a Life Cycle Assessment (LCA) of Sustainable Urban Drainage Systems (SUDS) examples. LCA is the main methodology applied to perform environmental comparisons. First, a thorough inventory was obtained from previous works with different alternatives for water management within a university building, including drainage, paving and water supply functions. The inventory contemplates alternatives using rainwater and stormwater harvesting for non-potable water supply, including pervious pavements. Such alternatives were compared with Brazil's usual water supply systems, aiming at diminishing the total environmental burden. The methodology aspects of LCA were also regarded, such as an uncertainty assessment and a quality matrix of the processes used. Midpoint and endpoint categories were also regarded with their decision-making and uncertainty analysis. The main result is the understanding of the tradeoffs between the proposed systems, with a significant reduction in water stress obtained in the alternative scenarios. However, such a decrease is accompanied by a slight increase in some impact categories. Rainwater harvesting through roofs is the most environmentally friendly alternative, although the Cultural Theory parameter definition impacts on the sustainability ranking. Alternative sustainable systems for water management still need validation in terms of LCA, while decision-making for sustainable and resilient cities also requires a robust scientific basis. Thus, in conclusion, alternative systems such as SUDS were obtained to be more sustainable than conventional paving, drainage and water supply in the case study, and the understanding of different benefits found in the LCA is important to the decision-making process.
C1 [Vaz, Igor Catao Martins; Ghisi, Enedir] Univ Fed Santa Catarina, Dept Civil Engn, Lab Energy Efficiency Bldg, Res Grp Management Sustainable Environm, BR-88040900 Florianopolis, SC, Brazil.
C3 Universidade Federal de Santa Catarina (UFSC)
RP Vaz, ICM (corresponding author), Univ Fed Santa Catarina, Dept Civil Engn, Lab Energy Efficiency Bldg, Res Grp Management Sustainable Environm, BR-88040900 Florianopolis, SC, Brazil.
EM igorcmvaz@gmail.com; enedir.ghisi@ufsc.br
RI Ghisi, Enedir/AAS-8755-2020; Ghisi, Enedir/M-2037-2015
OI Vaz, Igor/0000-0003-2433-223X; Ghisi, Enedir/0000-0001-5918-6397
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil
   (CAPES) [001]; UFSC
FX This study was financed in part by the Coordenacao de Aperfeicoamento de
   Pessoal de Nivel Superior - Brasil (CAPES) - Finance Code 001. All
   authors thank UFSC for the support and opportunity to perform this
   research.
CR Abdeljaber A, 2022, ENVIRON IMPACT ASSES, V95, DOI 10.1016/j.eiar.2022.106805
   [Anonymous], 2006, ISO 14040 2006 ENV M
   Antunes LN, 2020, SCI TOTAL ENVIRON, V746, DOI 10.1016/j.scitotenv.2020.141087
   Antunes LN, 2018, WATER-SUI, V10, DOI 10.3390/w10111575
   Bare J, 2011, CLEAN TECHNOL ENVIR, V13, P687, DOI 10.1007/s10098-010-0338-9
   Bhatt A, 2019, J ENVIRON MANAGE, V231, P98, DOI 10.1016/j.jenvman.2018.10.033
   Chen XD, 2022, RESOUR CONSERV RECY, V177, DOI 10.1016/j.resconrec.2021.105969
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Ghimire SR, 2017, J CLEAN PROD, V151, P74, DOI 10.1016/j.jclepro.2017.02.025
   Goni FA, 2015, ADV SCI LETT, V21, P192, DOI 10.1166/asl.2015.5850
   Grael PFF, 2021, INT J LIFE CYCLE ASS, V26, P402, DOI 10.1007/s11367-020-01842-5
   Guinée JB, 2011, ENVIRON SCI TECHNOL, V45, P90, DOI 10.1021/es101316v
   Hammes G, 2018, J ENVIRON MANAGE, V222, P338, DOI 10.1016/j.jenvman.2018.05.094
   Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688
   Hung AN, 2021, J CLEAN PROD, V314, DOI 10.1016/j.jclepro.2021.128043
   Jolliet O, 2003, INT J LIFE CYCLE ASS, V8, P324, DOI 10.1007/BF02978505
   Khan SA, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12111944
   Koch D, 2023, ENVIRON DEV SUSTAIN, V25, P6269, DOI 10.1007/s10668-022-02302-w
   Lima L, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125730
   Liu J, 2022, CARBON PEAK AND NEUTRALITY STRATEGIES OF THE CONSTRUCTION INDUSTRY (ICCREM 2022), P37, DOI 10.1061/9780784484562.005
   Liu JW, 2020, TRANSPORT RES D-TR E, V85, DOI 10.1016/j.trd.2020.102381
   Martins Vaz I. C., 2021, Sci, V3, P36, DOI [10.3390/sci3040036.MOHURD, DOI 10.3390/SCI3040036.MOHURD]
   Olawumi TO, 2018, J CLEAN PROD, V183, P231, DOI 10.1016/j.jclepro.2018.02.162
   Pamukcu-Albers P, 2021, LANDSCAPE ECOL, V36, P665, DOI 10.1007/s10980-021-01212-y
   Rebitzer G, 2004, ENVIRON INT, V30, P701, DOI 10.1016/j.envint.2003.11.005
   Singh A, 2022, RESOUR CONSERV RECY, V180, DOI 10.1016/j.resconrec.2022.106186
   Thompson M., 2018, Cultural theory, DOI [DOI 10.4324/9780429501180, DOI 10.21236/AD0767426]
   Thompson M., 1997, Environmental Modeling and Assessment, V2, P139, DOI [10.1023/A:1019065412191, DOI 10.1023/A:1019065412191]
   Vaz ICM, 2024, WATER-SUI, V16, DOI 10.3390/w16101403
   Zhu YF, 2023, RESOUR CONSERV RECY, V191, DOI 10.1016/j.resconrec.2023.106906
   Zhu YF, 2022, J ENVIRON MANAGE, V304, DOI 10.1016/j.jenvman.2021.114230
NR 38
TC 0
Z9 0
U1 16
U2 16
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD OCT 15
PY 2024
VL 476
AR 143782
DI 10.1016/j.jclepro.2024.143782
EA SEP 2024
PG 13
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA I2D3P
UT WOS:001328409200001
DA 2025-04-22
ER

PT J
AU Chen, J
   Guo, XX
   Pan, HZ
   Zhong, SH
AF Chen, Jie
   Guo, Xiaoxin
   Pan, Haozhi
   Zhong, Shihu
TI What determines city's resilience against epidemic outbreak: evidence
   from China's COVID-19 experience
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE COVID-19; Public health; Urban resilience; Population density; Urban
   governance
ID INFECTIOUS-DISEASES; DISASTERS; MODEL; RISK
AB By employing the city-level data from China during the spring of 2020, this study investigates the relationship between city-level resilience against the outbreak of COVID-19 pandemics and its affecting factors, including the inflow risk pressure of COVID-19 virus (population inflow from the epicenter), city agglomeration characteristics (urban population density and city size), healthcare resource adequacy, among others. The results reveal that, while managing COVID-19 inflow risk pressure plays a critical role in the city's pandemic disaster resilience, city agglomeration characteristics also matters. To be exact, we find that large and high-density cities with high inter and intra-city mobility flows have more difficulties in containing the epidemic spread, but improving healthcare infrastructure adequacy and urban governance capacity can increase time efficacy of pandemic control and then improve the city's resilience against pandemic. Although our analysis is based on the performance of Chinese cities in the case of COVID-19, the research framework can be applied in understanding COVID-19 control performance of cities in other countries and the findings can be useful for improving health-related urban resilience and sustainability.
C1 [Chen, Jie; Pan, Haozhi] Shanghai Jiao Tong Univ, Sch Int & Publ Affairs, Shanghai, Peoples R China.
   [Chen, Jie; Pan, Haozhi] Shanghai Jiao Tong Univ, China Inst Urban Governance, Shanghai, Peoples R China.
   [Chen, Jie; Pan, Haozhi] Shanghai Jiao Tong Univ, Ctr Housing & Urban Rural Dev, Shanghai, Peoples R China.
   [Guo, Xiaoxin] Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai, Peoples R China.
   [Zhong, Shihu] Shanghai Natl Accounting Inst, Shanghai, Peoples R China.
C3 Shanghai Jiao Tong University; Shanghai Jiao Tong University; Shanghai
   Jiao Tong University; Shanghai University of Finance & Economics
RP Pan, HZ (corresponding author), 1954 Huashan Rd, Shanghai 200030, Peoples R China.; Zhong, SH (corresponding author), 200 Panlong Rd, Shanghai 201799, Peoples R China.
EM panhaozhi@sjtu.edu.cn; zhongshihu@163.sufe.edu.cn
RI Pan, Haozhi/A-6408-2017; Zhong, Shihu/HLQ-4961-2023; Chen,
   Jie/D-5868-2018
OI Chen, Jie/0000-0002-9254-4413; Guo, Xiaoxin/0000-0003-0928-6271; Zhong,
   Shihu/0000-0001-6100-1750
FU National Natural Science Foundation of China [NSFC71974125,
   NSFC52000130, NSFC71661137004, NSFC71573166]; Shanghai Municipal Health
   Commission [GWV-9.4]
FX National Natural Science Foundation of China (NSFC71974125,
   NSFC52000130, NSFC71661137004, NSFC71573166); Shanghai Municipal Health
   Commission (GWV-9.4).
CR Acuto M, 2020, ONE EARTH, V2, P317, DOI 10.1016/j.oneear.2020.04.004
   Allenby B, 2005, SCIENCE, V309, P1034, DOI 10.1126/science.1111534
   [Anonymous], 2020, LANCET, V395, P1011, DOI 10.1016/S0140-6736(20)30686-3
   Bauch CT, 2020, LANCET INFECT DIS, V20, P994, DOI 10.1016/S1473-3099(20)30428-X
   Beria P, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102616
   Bhadra A, 2021, MODEL EARTH SYST ENV, V7, P623, DOI 10.1007/s40808-020-00984-7
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Block P, 2020, NAT HUM BEHAV, V4, P588, DOI 10.1038/s41562-020-0898-6
   Bootsma MCJ, 2007, P NATL ACAD SCI USA, V104, P7588, DOI 10.1073/pnas.0611071104
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chen Y, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102211
   Chinazzi M, 2020, SCIENCE, V368, P395, DOI [10.1126/science.aba9757, 10.1101/2020.02.09.20021261]
   Cho SY, 2016, LANCET, V388, P994, DOI 10.1016/S0140-6736(16)30623-7
   Chu DK, 2020, LANCET, V395, P1973, DOI 10.1016/S0140-6736(20)31142-9
   Connolly C, 2021, URBAN STUD, V58, P245, DOI 10.1177/0042098020910873
   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
   Dalziel BD, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.0763
   Das A, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102577
   Edejer TTT, 2020, LANCET GLOB HEALTH, V8, pE1372, DOI 10.1016/S2214-109X(20)30383-1
   Egidi G, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102148
   Fang LQ, 2012, AM J EPIDEMIOL, V175, P890, DOI 10.1093/aje/kwr411
   Fastiggi M, 2021, URBAN STUD, V58, P1262, DOI 10.1177/0042098020907277
   Florida R., 2020, The geography of coronavirus. Retrieved from Bloomberg Green
   Glaeser E, 2020, City Journal
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu MG, 2019, ENVIRON PLANN A, V51, P1618, DOI 10.1177/0308518X19845908
   Ji YP, 2020, LANCET GLOB HEALTH, V8, pE480, DOI 10.1016/S2214-109X(20)30068-1
   Jia JSS, 2020, NATURE, V582, P389, DOI [10.1038/s41586-020-2284-y, 10.1109/LGRS.2020.3028443]
   Jones KE, 2008, NATURE, V451, P990, DOI 10.1038/nature06536
   Jovanovic A., 2020, Environment Systems & Decisions, V40, P252, DOI 10.1007/s10669-020-09779-8
   Kraemer MUG, 2020, SCIENCE, V368, P493, DOI 10.1126/science.abb4218
   Kruk ME, 2017, BMJ-BRIT MED J, V357, DOI 10.1136/bmj.j2323
   Kupferschmidt K, 2020, SCIENCE, V367, P1061, DOI 10.1126/science.367.6482.1061
   Lai KY, 2020, CURR OPIN ENV SUST, V46, P27, DOI 10.1016/j.cosust.2020.08.008
   Lee VJ, 2020, LANCET INFECT DIS, V20, P17, DOI 10.1016/S1473-3099(19)30674-7
   Liu L, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102759
   McCloskey B, 2020, LANCET, V395, P1096, DOI 10.1016/S0140-6736(20)30681-4
   McCloskey B, 2014, LANCET INFECT DIS, V14, P1001, DOI 10.1016/S1473-3099(14)70846-1
   Mckee M, 2020, NAT MED, V26, P640, DOI 10.1038/s41591-020-0863-y
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Metsky HC, 2017, NATURE, V546, P411, DOI 10.1038/nature22402
   Miller IF, 2020, NAT MED, V26, P1212, DOI 10.1038/s41591-020-0952-y
   Mishra SV, 2020, HABITAT INT, V103, DOI 10.1016/j.habitatint.2020.102230
   NHCC, 2020, NHCCS DAIL BRIEF WEB
   Ni P., 2020, SPECIAL REPORT ENV C
   OECD.AI, 2024, AI-powered COVID-19 watch
   Peak CM, 2020, LANCET INFECT DIS, V20, P1025, DOI 10.1016/S1473-3099(20)30361-3
   Peters DJ, 2020, J RURAL HEALTH, V36, P446, DOI 10.1111/jrh.12477
   Prashar S, 2012, NAT HAZARDS, V64, P1609, DOI 10.1007/s11069-012-0320-4
   Qiang Y, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102115
   Qiu Y, 2020, J POPUL ECON, V33, P1127, DOI [10.1007/s00148-020-00778-2, 10.1101/2020.03.13.20035238]
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Sannigrahi S, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102418
   Scott M, 2020, PLAN THEORY PRACT, V21, P343, DOI 10.1080/14649357.2020.1781445
   Shamsuddin S, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102763
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   Silva JCS, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102574
   Sun ZB, 2020, SCI TOTAL ENVIRON, V746, DOI 10.1016/j.scitotenv.2020.141347
   Tang L, 2018, AM J INFECT CONTROL, V46, P962, DOI 10.1016/j.ajic.2018.02.010
   The Lancet, 2020, Lancet, V395, P537, DOI 10.1016/S0140-6736(20)30379-2
   Tian HY, 2020, SCIENCE, V368, P638, DOI 10.1126/science.abb6105
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wang JG, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102511
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   WHO, 2020, REP WHO CHIN JOINT M, V2019
   WHO, 2020, WHO COLL COR DIS COV
   Wilder-Smith A, 2020, J TRAVEL MED, V27, DOI [10.1093/jtm/taaa020, 10.1093/jtm/taaa227]
   Yi PT, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101529
   Zarocostas J, 2020, LANCET, V395, P676, DOI 10.1016/S0140-6736(20)30461-X
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
   Zhu SY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101636
   Zou L, 2018, ANN AM ASSOC GEOGR, V108, P1422, DOI 10.1080/24694452.2017.1421897
NR 76
TC 94
Z9 94
U1 18
U2 298
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 2021
VL 70
AR 102892
DI 10.1016/j.scs.2021.102892
EA APR 2021
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 SM6ZI
UT WOS:000657750500004
PM 33816083
OA Green Published
DA 2025-04-22
ER

PT J
AU Seeliger, L
   Turok, I
AF Seeliger, Leanne
   Turok, Ivan
TI Averting a downward spiral: building resilience in informal urban
   settlements through adaptive governance
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE adaptive governance; resilience; vulnerability; risk; urban informal
   settlements
AB The growth of informal settlements can intensify the risks of social and ecological harm to their communities and to the wider urban area. The unplanned and poorly serviced character of these settlements raises the probability of disasters occurring. The public sector can increase these risks through indifference and poorly conceived actions or it can help to build resilience through a more constructive and integrated approach. This case study from Stellenbosch in South Africa illustrates how a resilience perspective can highlight the systemic challenges surrounding the growth and management of informal settlements. It emphasizes the interactions between such places and their urban context, and recognizes the negative feedback loops that can exacerbate poverty and vulnerability. It proposes adaptive governance as a framework for building resilience through strengthening local capabilities. This flexible and engaged approach goes beyond "just managing" informal settlements to integrating them in a more positive way into the wider city or town.
C1 [Seeliger, Leanne; Turok, Ivan] Human Sci Res Council, Pretoria, South Africa.
C3 Human Sciences Research Council-South Africa
RP Seeliger, L (corresponding author), Private Bag X9182, ZA-8000 Cape Town, South Africa.
EM lseeliger@hsrc.ac.za; iturok@hsrc.ac.za
RI Turok, Ivan/X-6120-2019
OI Turok, Ivan/0000-0001-5520-2492; Seeliger, Leanne/0000-0003-4157-3035
CR [Anonymous], 2012, The Guardian
   [Anonymous], 2013, DISTELL LTD PROPOSED
   [Anonymous], 2012, World urbanization prospects: the 2011 revision
   [Anonymous], 2013, URB PLANN CIT LEAD
   Barnes J., 2012, SUSTAINABLE OPENING, P204
   Baud I., 2009, 4 INT C INT FOR URB
   Ben Sebitosi, 2012, SUSTAINABLE STELLENB, P139
   Blake Robinson, 2012, SUSTAINABLE STELLENB, P215
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Dan Smit, 2010, URBAN LANDMARK
   Daneel Knoetze, 2013, CAPE ARGUS      0316
   Ewert J., 2012, SUSTAINABLE STELLENB, P255
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Garmestani A.S., 2013, ECOLOGY SOC, V18
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jan Cronje, 2013, CAPE TIMES      0503
   Jason Felix, 2013, CAPE TIMES      0318
   Marta Olzabal, 2012, MULTIDISCIPLINARY PE
   Mitlin D, 2008, ENVIRON URBAN, V20, P339, DOI 10.1177/0956247808096117
   Parnell S, 2011, GLOBAL ENVIRON CHANG, V21, pS12, DOI 10.1016/j.gloenvcha.2011.09.014
   Plummer R, 2013, SUSTAINABILITY-BASEL, V5, P629, DOI 10.3390/su5020629
   Simon Nicks, 2012, SUSTAINABLE STELLENB, P24
   Stellenbosch Municipality, 2013, ENK EN REP
   Stellenbosch Municipality, 2013, INT DEV PLAN 2012 20
   Tavener-Siviith L.A. U. R. E. N., 2012, Sustainable Stellenbosch: opening dialogues, P68
   Thys Serfontein, 2012, SUSTAINABLE STELLENB, P116
   Turok I., 2013, SPATIAL EC REPORT IN
   United Nations International Strategy for Disaster Reduction, 2009, TERM DIS RISK RED
   Van den Berg Samantha, 2012, EIKESTADNUUS
   Weijer F., 2013, 139 EUR CTR DEV POL, V139, P1
   Wiseman Leanne Gaye, 2009, THESIS U QUEENSLAND
NR 31
TC 41
Z9 41
U1 1
U2 44
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 184
EP 199
DI 10.1177/0956247813516240
PG 16
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA AG8FC
UT WOS:000335653200011
DA 2025-04-22
ER

PT J
AU Hu, M
   Pavao-Zuckerman, M
AF Hu, Ming
   Pavao-Zuckerman, Mitchell
TI Literature Review of Net Zero and Resilience Research of the Urban
   Environment: A Citation Analysis Using Big Data
SO ENERGIES
LA English
DT Review
ID ENERGY; FRAMEWORK
AB According to the fifth Intergovernmental Panel on Climate Change (IPCC) assessment report, the urban environment is responsible for between 71% and 76% of carbon emissions from global final energy use and between 67% and 76% of global energy use. Two important and trending domains in urban environment are resilience and net zero associated with high-performance design, both of which have their origins in ecology. The ultimate goal of net zero energy has become the ultimate high-performance standard for buildings. Another emerging index is the measurement and improvement of the resilience of buildings. Despite the richness of research on net zero energy and resilience in the urban environment, literature that compares net zero energy and resilience is very limited. This paper provides an overview of research activities in those two research domains in the past 40 years. The purpose of this review is to (1) explore the shared ecological roots of the two domains, (2) identify the main research areas/clusters within each, (3) gain insight into the size of the different research topics, and (4) identify any research gaps. Finally, conclusions about the review focus on the major difference between the net zero movement and resilience theory in the urban environment and their respective relations to their ecological origins.
C1 [Hu, Ming] Univ Maryland, Sch Architecture Planning & Preservat, College Pk, MD 20742 USA.
   [Pavao-Zuckerman, Mitchell] Univ Maryland, Dept Environm Sci & Technol, College Pk, MD 20742 USA.
C3 University System of Maryland; University of Maryland College Park;
   University System of Maryland; University of Maryland College Park
RP Hu, M (corresponding author), Univ Maryland, Sch Architecture Planning & Preservat, College Pk, MD 20742 USA.
EM mhu2008@umd.edu; mpzucker@umd.edu
RI Hu, Ming/I-4311-2019
OI Hu, Ming/0000-0003-2583-1161; Pavao-Zuckerman,
   Mitchell/0000-0002-9657-2892
FU Department of Environmental Science and Technology in the University of
   Maryland; School of Architecture, Planning and Preservation, University
   of Maryland
FX We would like to acknowledge the support given from School of
   Architecture, Planning and Preservation, and Department of Environmental
   Science and Technology in the University of Maryland.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Allen M.R., 2014, IPCC fifth assessment synthesis report-climate change 2014 synthesis report
   [Anonymous], ASI
   [Anonymous], 2006, CITATION ANAL RES EV
   [Anonymous], 1996, ENG ECOLOGICAL CONST
   [Anonymous], 2014, BUILDINGS
   Beheshtian A, 2018, TRANSPORT RES E-LOG, V113, P99, DOI 10.1016/j.tre.2018.02.009
   Berkes F., 2000, Linking social and ecological systems: Management practices and social mechanisms for building resilience
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Borg I., 2005, Modern Multidimensional Scaling: Theory and Applications
   BOULDING K.E., 1978, ECODYNAMICS NEW THEO
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Davila Carlos Cerezo, 2013, P BS2013 13 C INT BU, P26
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Garfield E, 2009, J INFORMETR, V3, P173, DOI 10.1016/j.joi.2009.03.009
   Hassler U., 2014, Resilience in the built environment
   Head L, 2006, T I BRIT GEOGR, V31, P505, DOI 10.1111/j.1475-5661.2006.00228.x
   Hernandez P, 2010, ENERG BUILDINGS, V42, P815, DOI 10.1016/j.enbuild.2009.12.001
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Lindseth B., 2011, LIMN, V1, P1
   Marszal AJ, 2011, ENERG BUILDINGS, V43, P971, DOI 10.1016/j.enbuild.2010.12.022
   MCCAIN K, 2011, ASI, V41, P433, DOI DOI 10.1002/(SICI)1097-4571(199009)41:6
   New Building Institute, 2018, GETT ZER STAT UPD ZE
   O'Connor B., COMPUTATIONAL TEXT A
   Odum H T., 1996, ENVIROMENTAL ACCOUNTING - Emergy and Environmental Decision Making
   Odum H.T., 1973, Royal Swedish Academy of Science AMBIO, V2, P220
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pulselli RM, 2007, ENERG BUILDINGS, V39, P620, DOI 10.1016/j.enbuild.2006.10.004
   Pulselli RM, 2009, BUILD ENVIRON, V44, P920, DOI 10.1016/j.buildenv.2008.06.009
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Rapoport Amos., 1976, The Mutual Interaction of People and Their Built Environment: A Cross-Cultural Perspective
   Sartori I, 2012, ENERG BUILDINGS, V48, P220, DOI 10.1016/j.enbuild.2012.01.032
   Schipper E.L.F., COMP OVERVIEW RESILI
   Seto K.C., 2014, HUMAN SETTLEMENTS IN
   Sharifi A, 2015, ENRGY PROCED, V75, P2904, DOI 10.1016/j.egypro.2015.07.586
   Soddy F., 1933, Wealth Virtual Wealth and Debt
   Spash C.L., 2017, Routledge Handbook of Ecological Economics
   Torcellini P, 2015, BUILD RES INF, V43, P25, DOI 10.1080/09613218.2014.960783
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   van Eck NJ, 2010, J AM SOC INF SCI TEC, V61, P2405, DOI 10.1002/asi.21421
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wang CH, 2009, J WATER RES PLAN MAN, V135, P528, DOI 10.1061/(ASCE)0733-9496(2009)135:6(528)
   Yi H, 2017, J CLEAN PROD, V143, P654, DOI 10.1016/j.jclepro.2016.12.059
   Zhai C., 2016, Text data management and analysis: a practical introduction to information retrieval and text mining
NR 47
TC 9
Z9 10
U1 3
U2 54
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD APR 2
PY 2019
VL 12
IS 8
AR 1539
DI 10.3390/en12081539
PG 16
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Energy & Fuels
GA HX9XP
UT WOS:000467762600132
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Rezvani, SM
   Falcao, MJ
   Komljenovic, D
   de Almeida, NM
AF Rezvani, Seyed M. H. S.
   Falcao, Maria Joao
   Komljenovic, Dragan
   de Almeida, Nuno Marques
TI A Systematic Literature Review on Urban Resilience Enabled with Asset
   and Disaster Risk Management Approaches and GIS-Based Decision Support
   Tools
SO APPLIED SCIENCES-BASEL
LA English
DT Review
DE urban resilience; Geographic Information System (GIS); asset management;
   risk management; decision making; sustainability
ID GREEN-INFRASTRUCTURE; NATURAL HAZARDS; CLIMATE-CHANGE; EXTREME WEATHER;
   ROAD NETWORKS; CITIES; SCIENCE; FLOODS; INTEGRATION; PERFORMANCE
AB Featured Application
C1 [Rezvani, Seyed M. H. S.; de Almeida, Nuno Marques] Univ Lisbon, CERIS, Inst Super Tecn, Ave Rovisco Pais 1, P-1049001 Lisbon, Portugal.
   [Falcao, Maria Joao] Lab Nacl Engn Civil, Ave Brasil 101, P-1700075 Lisbon, Portugal.
   [Komljenovic, Dragan] Inst Rech Hydroquebec IREQ, 1800 Boul Lionel Boulet, Varennes, PQ J3X 1S1, Canada.
C3 Universidade de Lisboa; National Civil Engineering Laboratory
RP Rezvani, SM; de Almeida, NM (corresponding author), Univ Lisbon, CERIS, Inst Super Tecn, Ave Rovisco Pais 1, P-1049001 Lisbon, Portugal.
EM seyedi.rezvani@tecnico.ulisboa.pt; nunomarquesalmeida@tecnico.ulisboa.pt
RI Seyedi Rezvani, Seyed Mohammad Hossein/CAH-0976-2022; Komljenovic,
   Dragan/GXH-8841-2022; Almeida, Nuno/B-5243-2016
OI Komljenovic, Dragan/0000-0002-1542-4426; Seyedi Rezvani, Seyed Mohammad
   Hossein/0000-0002-2257-5361; Almeida, Nuno/0000-0001-7024-2679
FU Fundacao para a Ciencia e Tecnologia (FCT) [2022.12886.BD]
FX This research was funded by Fundacao para a Ciencia e Tecnologia (FCT),
   grant number "2022.12886.BD" and carried out at the Civil Engineering
   Research and Innovation for Sustainability (CERIS) of the Instituto
   Superior Tecnico (IST) and the National Laboratory of Civil Engineering
   (LNEC).
CR Abu Dabous S, 2020, J CLEAN PROD, V244, DOI 10.1016/j.jclepro.2019.118755
   Acosta F, 2021, LAND-BASEL, V10, DOI 10.3390/land10030298
   Acuto M, 2018, NAT SUSTAIN, V1, P2, DOI 10.1038/s41893-017-0013-9
   Afkhamiaghda M, 2023, INT J CONSTR MANAG, V23, P2409, DOI 10.1080/15623599.2022.2061751
   Ahmadi-Assalemi G, 2020, SMART CITIES-BASEL, V3, P894, DOI 10.3390/smartcities3030046
   Aksha SK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17061985
   Al-Humaiqani MM, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103797
   Alhamidi, 2018, IOP C SER EARTH ENV, V158, DOI 10.1088/1755-1315/158/1/012037
   Ali S, 2022, NAT HAZARDS, V113, P261, DOI 10.1007/s11069-022-05299-7
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2013, The Global Assessment Report on Disaster Risk Reduction (GAR) 2013
   [Anonymous], 2018, P ENG ASSETS PUBLIC, P1
   [Anonymous], 2012, 55000 ISO
   [Anonymous], 2018, An IPCC Special Report on the impacts of global warming of 1.5?C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, DOI 10.1017/9781009157940
   [Anonymous], 2014, ISO 55000:2014, P19
   Armas I, 2012, NAT HAZARDS, V63, P1129, DOI 10.1007/s11069-012-0209-2
   Asadi E, 2019, ENG STRUCT, V191, P229, DOI 10.1016/j.engstruct.2019.04.049
   Asian Development Bank, 2014, URB CLIM CHANG RES S
   Attary N, 2019, NAT HAZARDS REV, V20, DOI 10.1061/(ASCE)NH.1527-6996.0000317
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Bacciu V, 2022, ENVIRON SCI POLICY, V129, P37, DOI 10.1016/j.envsci.2021.12.015
   Balakrishnan S, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101565
   Balinho I., 2020, P 8 TRANSPORT RES AR
   Barroca B, 2019, ENERGY SELF SUFFICIE
   Basílio MP, 2022, ELECTRONICS-SWITZ, V11, DOI 10.3390/electronics11111720
   BCBS, REV STAND APPR CRED
   Belles Jonathan., COULD BE AM 1 200 BI
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Bevacqua A, 2018, ENVIRON SCI POLICY, V82, P19, DOI 10.1016/j.envsci.2018.01.006
   Bianco M., 2017, P COMPDYN 2017 6 INT, VVolume 1, P2075
   Bostick TP, 2018, RELIAB ENG SYST SAFE, V175, P19, DOI 10.1016/j.ress.2018.02.025
   Boukri M, 2018, INT J DISAST RISK RE, V31, P555, DOI 10.1016/j.ijdrr.2018.06.014
   Brilha J, 2018, ENVIRON SCI POLICY, V86, P19, DOI 10.1016/j.envsci.2018.05.001
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Brunetta G, 2019, RESILIENT CIT, P1, DOI 10.1007/978-3-319-76944-8
   Butcher-Gollach C, 2018, PLANNING URBAN INFOR
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   cdp, UN SUSTAINABLE DEV G
   Cerè G, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101079
   Chadegani Arezoo Aghaei, 2013, Asian Social Science, V9, P5, DOI [10.5539/ass.v9n5p18, DOI 10.5539/ASS.V9N5P18]
   Chang K., 2019, INTRO GEOGRAPHIC INF, V9th
   Chopra SS, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2016.0113
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Dam N., 2021, INT J INFORM MANAGE, V3, P198
   Davidson K, 2019, CITIES, V92, P1, DOI 10.1016/j.cities.2019.03.012
   de Almeida NM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13115925
   De Almeida NM, 2015, J CIV ENG MANAG, V21, P384, DOI 10.3846/13923730.2014.893921
   de Bruijn K, 2017, ENVIRON SCI POLICY, V70, P21, DOI 10.1016/j.envsci.2017.02.001
   Depietri Y, 2018, CLIMATIC CHANGE, V148, P95, DOI 10.1007/s10584-018-2194-2
   Dickson E., 2012, Urban risk assessment: Understanding disaster and climate risk in cities
   Dong Y, 2018, ENVIRON SCI POLICY, V87, P33, DOI 10.1016/j.envsci.2018.05.018
   Driessen PPJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08921-210453
   Dunn S, 2016, SUSTAIN CITIES SOC, V27, P23, DOI 10.1016/j.scs.2016.08.011
   El-Kholei AO, 2019, ALEX ENG J, V58, P479, DOI 10.1016/j.aej.2019.04.004
   Elmqvist T, 2018, URBAN PLANET
   Espada R, 2017, INT J DISASTER RESIL, V8, P375, DOI 10.1108/IJDRBE-03-2015-0010
   Etinay N, 2018, PROCEDIA ENGINEER, V212, P575, DOI 10.1016/j.proeng.2018.01.074
   Finzi Y, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102365
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P1, DOI 10.1016/j.envsci.2016.05.008
   Gaha M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13169091
   Gangwal U, 2022, RELIAB ENG SYST SAFE, V224, DOI 10.1016/j.ress.2022.108555
   Gay LF, 2013, INT J CRIT INFRASTRU, V9, P330, DOI 10.1504/IJCIS.2013.058172
   Ghaffarian S, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10111760
   Graham Stephen., 2010, DISRUPTED CITIES INF, P1
   Grussing MN, 2014, J INFRASTRUCT SYST, V20, DOI 10.1061/(ASCE)IS.1943-555X.0000157
   Hanif N., HDB INFRASTRUCTURE A
   Haraguchi M, 2016, INT J DISASTER RESIL, V7, P133, DOI 10.1108/IJDRBE-03-2015-0015
   Heinzlef C, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102762
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Hofmann SZ, 2021, PROG DISASTER SCI, V11, DOI 10.1016/j.pdisas.2021.100189
   Houghton A, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14121519
   Huddleston P, 2022, ENVIRON SCI POLICY, V135, P67, DOI 10.1016/j.envsci.2022.04.015
   Hutter G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212459
   Ishiwatari M., 2020, Connections QJ, V19, P99, DOI [10.11610/Connections.19.3.07, DOI 10.11610/CONNECTIONS.19.3.07]
   Ivanik O.M., 2021, P 3 EAGE WORKSHOP AS
   Jelokhani-Niaraki M, 2015, CITIES, V45, P60, DOI 10.1016/j.cities.2015.03.007
   Karamouz M, 2018, J INFRASTRUCT SYST, V24, DOI 10.1061/(ASCE)IS.1943-555X.0000434
   Kodag S, 2022, PROG DISASTER SCI, V14, DOI 10.1016/j.pdisas.2022.100219
   Komljenovic D., 2019, P 2019 C INFORM CENT, V1, P1
   Komljenovic D., 2019, Intl. J. Strategic Eng. Asset Mgmt, V3, P198, DOI [10.1504/ijseam.2019.10030326, DOI 10.1504/IJSEAM.2019.10030326]
   Komljenovic D, 2019, P VALUE RESILIENCE I
   Koren D, 2017, IOP CONF SER-MAT SCI, V245, DOI 10.1088/1757-899X/245/6/062011
   Lalenis K., 2019, LNCS, V11380
   Lamaury Y, 2021, WATER-SUI, V13, DOI 10.3390/w13030337
   Lee K, 2018, PROCEDIA ENGINEER, V212, P840, DOI 10.1016/j.proeng.2018.01.108
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   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]
   Liu QL, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102817
   Maceda L.L., 2020, J ADV RES DYN CONTRO, V12, P268, DOI [10.5373/JARDCS/V12SP1/20201072, DOI 10.5373/JARDCS/V12SP1/20201072]
   Maletic D, 2023, PROD PLAN CONTROL, V34, P1497, DOI 10.1080/09537287.2022.2026672
   McDaniels Timothy L., 2015, Environment Systems & Decisions, V35, P252, DOI 10.1007/s10669-015-9544-7
   McPhearson T, 2016, NATURE, V538, P165, DOI 10.1038/538165a
   McPhearson T, 2016, BIOSCIENCE, V66, P198, DOI 10.1093/biosci/biw002
   McPhillips LE, 2018, EARTHS FUTURE, V6, P441, DOI 10.1002/2017EF000686
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meyer N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195514
   Miller M, 2013, P SAFETY RELIABILITY, P4483
   Mohagheghi S, 2014, INT J DISAST RISK RE, V10, P315, DOI 10.1016/j.ijdrr.2014.10.004
   Mohanty Mohit Prakash, 2021, J Environ Manage, V288, P112456, DOI 10.1016/j.jenvman.2021.112456
   Mongeon P, 2016, SCIENTOMETRICS, V106, P213, DOI 10.1007/s11192-015-1765-5
   monkeylearn, Free Word Cloud Generator
   Moradi A, 2021, INT J ENVIRON SCI TE, V18, P2441, DOI 10.1007/s13762-021-03377-0
   Morgan T.C, 2016, P 6 INT DISASTER RIS, P429
   Nafishoh Q., 2016, P AIP C P, V1857
   Najafi J, 2018, SUSTAIN CITIES SOC, V39, P592, DOI 10.1016/j.scs.2018.03.022
   Nakano Y., 2020, P 40 ASIAN C REMOTE
   Negev M, 2022, URBAN CLIM, V43, DOI 10.1016/j.uclim.2022.101146
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Ning X, 2013, FRONT ENV SCI ENG, V7, P658, DOI 10.1007/s11783-013-0546-8
   Ongkowijoyo CS, 2018, PROCEDIA ENGINEER, V212, P1115, DOI 10.1016/j.proeng.2018.01.144
   Ordóñez C, 2020, ENVIRON SCI POLICY, V104, P136, DOI 10.1016/j.envsci.2019.11.008
   Ossola A, 2021, ENVIRON SCI POLICY, V123, P151, DOI 10.1016/j.envsci.2021.05.026
   Palmer T, 2020, NAT CLIM CHANGE, V10, P794, DOI 10.1038/s41558-020-0888-8
   Parizi SM, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095034
   Parris H, 2022, ENVIRON SCI POLICY, V132, P24, DOI 10.1016/j.envsci.2022.02.008
   Perdana T, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103183
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pinto L.V., 2022, ASSESSMENT NBS IMPAC, V107
   Pitilakis K, 2016, TRANSP RES PROC, V14, P1335, DOI 10.1016/j.trpro.2016.05.206
   Pourghasemi HR, 2021, IEEE J-STARS, V14, P1923, DOI 10.1109/JSTARS.2020.3045278
   Prashar S, 2013, MITIG ADAPT STRAT GL, V18, P429, DOI 10.1007/s11027-012-9368-4
   Puno G.R., 2018, P P 39 ASIAN C REMOT, VVolume 3, P1817
   Qin WM, 2017, NAT HAZARDS, V89, P331, DOI 10.1007/s11069-017-2967-3
   Rahimi-Golkhandan A, 2022, SOCIO-ECON PLAN SCI, V80, DOI 10.1016/j.seps.2021.101166
   Rahimi-Golkhandan A, 2021, J MANAGE ENG, V37, DOI 10.1061/(ASCE)ME.1943-5479.0000872
   Rashetnia S, 2015, P THE ART SCI WATER, P1083
   Ren Z., 2013, Mitigating Climate Change: The Emerging Face of Modern Cities, P207, DOI [10.1007/978-3-642-37030-411, DOI 10.1007/978-3-642-37030-411]
   Rezvani S, 2021, P ONLINE EVENT 11 IM
   Rezvani S.M, 2010, THESIS SHARIF U TECH
   Rezvani S.M, 2021, P ICC, VVolume 15, P1
   Rezvani SMHS, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103612
   Risk & Performance Center, US
   Robert B., 2023, INT J CRIT INFRASTRU, V20, P1, DOI [10.1504/IJCIS.2024.10046126, DOI 10.1504/IJCIS.2024.10046126]
   Rockefeller Foundation 100resilientcities, US
   Rodriguez-Nikl T., 2019, P INT C SUSTAINABLE
   Romero-Lankao P, 2017, NAT CLIM CHANGE, V7, P233
   Sajjad M, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102850
   Sajjad M, 2020, ENVIRON SCI POLICY, V106, P99, DOI 10.1016/j.envsci.2020.01.004
   Salata F., 2017, RELATING MICROCLIMAT, V30
   Salvado F, 2018, BUILT ENVIRON PROJ A, V8, P114, DOI 10.1108/BEPAM-07-2017-0042
   Sameer DAB, 2011, INT J URBAN SCI, V15, P1, DOI 10.1080/12265934.2011.580148
   Saraswat C, 2016, ENVIRON SCI POLICY, V64, P101, DOI 10.1016/j.envsci.2016.06.018
   Schuman CA, 2005, INT J OPER PROD MAN, V25, P566, DOI 10.1108/01443570510599728
   Serdar MZ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212367
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Sethi M, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0253904
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Shim JH, 2015, SUSTAINABILITY-BASEL, V7, P14153, DOI 10.3390/su71014153
   Song J, 2019, SCI TOTAL ENVIRON, V696, DOI 10.1016/j.scitotenv.2019.133764
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Srivastava N, 2016, ENHANCING CITY RESIL
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Sung CH, 2020, WATER-SUI, V12, DOI 10.3390/w12051401
   Tauhid FA, 2018, J REG CITY PLAN, V29, P98, DOI 10.5614/jrcp.2018.29.2.2
   Thiagarajan M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103665
   Timashev S.A, 2017, P IOP C SERIES MAT S, V262
   Trindade Manuela, 2019, Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. Proceedings: Lecture Notes in Mechanical Engineering (LNME), P605, DOI 10.1007/978-3-319-95711-1_60
   Tyllianakis E, 2022, ENVIRON SCI POLICY, V136, P599, DOI 10.1016/j.envsci.2022.07.021
   Ulak MB, 2018, NAT HAZARDS, V92, P1489, DOI 10.1007/s11069-018-3260-9
   UN-Habitat, 2022, UNHABITAT 2021 ANN R, V1
   undrr, UNDRR DIS RISK MAN
   United Nations Department of Economic and Social Affairs Population Division, 2019, Report No. ST/ESA/SER.A/420)
   Urban Resilience Hub, URB RES HUB
   Van Ackere S, 2019, WATER-SUI, V11, DOI 10.3390/w11040711
   Viavattene C, 2013, WATER SCI TECHNOL, V67, P99, DOI 10.2166/wst.2012.537
   Wang Y, 2019, COMPUTING IN CIVIL ENGINEERING 2019: SMART CITIES, SUSTAINABILITY, AND RESILIENCE, P555
   Wardekker A, 2020, CITIES, V101, DOI 10.1016/j.cities.2020.102691
   Wijesinghe A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13168937
   World Bank, Disaster Risk Management Overview
   World Energy Council, EXTR WEATH
   Wu YJ, 2022, INT J ELEC POWER, V141, DOI 10.1016/j.ijepes.2022.108183
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13152022
   Xu ZZ, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108434
   Xue X., 2018, CLIMATE CHANGE ITS I, DOI 10.1007/978-3-319-77544-9_8
   Yang YY, 2020, ECOL SOC, V25, DOI 10.5751/ES-11464-250205
   Yin YZ, 2022, WATER-SUI, V14, DOI 10.3390/w14050683
   Zhang XW, 2019, SCI TOTAL ENVIRON, V661, P95, DOI 10.1016/j.scitotenv.2018.12.074
   Zokaee M, 2021, AUTOMAT CONSTR, V129, DOI 10.1016/j.autcon.2021.103811
   Zou ZC, 2013, 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013), P2075
   Zuniga-Teran AA, 2021, ENVIRON SCI POLICY, V126, P234, DOI 10.1016/j.envsci.2021.10.001
NR 182
TC 45
Z9 45
U1 28
U2 99
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 FEB
PY 2023
VL 13
IS 4
AR 2223
DI 10.3390/app13042223
PG 41
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA 9H4GA
UT WOS:000938790000001
OA gold
DA 2025-04-22
ER

PT J
AU Li, L
   Du, YF
   Ma, SJ
   Ma, XY
   Zheng, YL
   Han, X
AF Li, Lei
   Du, Yufei
   Ma, Shaojun
   Ma, Xiaoyu
   Zheng, Yilin
   Han, Xu
TI Environmental disaster and public rescue: A social media perspective
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Resilient city; Disaster management; Social media; Topic analysis;
   Emotion analysis; communication analysis
ID TWITTER
AB Resilient city construction requires cities to be able to cope with and resist disasters on their own. With the advent and explosive growth of social media such as microblogs, citizens manage to show strong presence in disaster relief and the construction of resilient cities, which has resulted a huge amount of user-generated data. This paper took China's heavy rain disaster in 2021 as an example, collected 111,248 messages on the Chinese microblog platform, and analyzed the reactions of citizens during emergency rescue as social media users. Results show that social media users play an important role in disseminating disaster information, and the topics dis-cussed by users follow the characteristics of information transmission before emotional expression. By analyzing the emotions exhibited by social media users, we discover that users are particularly concerned about whether information would be accurately and efficiently disseminated. Social media users seldom express emotions when publishing information, and a few users have a negative attitude in the face of disasters. Meanwhile, by examining the influence of different social media on disaster relief, we find that government's official media along with other news media acts as the main information disseminator, while influential individual bloggers serve as the main mediators in the information dissemination process. This paper on the whole offers a new lens for analyzing the role played by social media users in disaster relief, the implications of which could be referred to by the public and government agencies, so as to improve the city's adaptability to disasters through coop-erative production and accelerate the construction of resilient cities.
C1 [Li, Lei; Du, Yufei; Ma, Shaojun; Ma, Xiaoyu] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China.
   [Zheng, Yilin] Tianjin Univ Commerce, Sch Publ Management, Tianjin 300134, Peoples R China.
   [Han, Xu] Army Mil Transportat Univ, Inst Mil Transportat, Tianjin 300161, Peoples R China.
C3 Tianjin University; Tianjin University of Commerce
RP Ma, SJ (corresponding author), Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China.
EM mashaojun0212@tju.edu.cn
RI Ma, Xiaoyu/JTS-9783-2023
FU National Natural Science Foundation of China [72174139, 71874120];
   Philosophical and Social Science Planning Project of Tianjin;
   Independent Innovation Foundation of Tianjin University [2022XS-0015]
FX The authors gratefully acknowledge the support provided by the National
   Natural Science Foundation of China (No.72174139; No.71874120) ,
   Philosophical and Social Science Planning Project of Tianjin
   (No.TJGL16-016) , and Independent Innovation Foundation of Tianjin
   University (No. 2022XS-0015) .
CR Agarwal P, 2022, EUR J OPER RES, V298, P714, DOI 10.1016/j.ejor.2021.06.060
   Assoc Comp M., 2014, 7 ACM INT C WEB SEAR
   Bai H, 2016, NAT HAZARDS, V83, P1177, DOI 10.1007/s11069-016-2370-5
   Bakillah M, 2015, INT J GEOGR INF SCI, V29, P258, DOI 10.1080/13658816.2014.964247
   Birkin F, 2021, RESOUR ENVIRON SUST, V3, DOI 10.1016/j.resenv.2021.100017
   Blei DM, 2003, J MACH LEARN RES, V3, P993, DOI 10.1162/jmlr.2003.3.4-5.993
   Carlander J, 2022, RESOUR ENVIRON SUST, V10, DOI 10.1016/j.resenv.2022.100078
   Fang J, 2019, INT J DISAST RISK RE, V34, P275, DOI 10.1016/j.ijdrr.2018.11.027
   Feldman R, 2013, COMMUN ACM, V56, P82, DOI 10.1145/2436256.2436274
   Fung ICH, 2013, INFECT DIS POVERTY, V2, DOI 10.1186/2049-9957-2-31
   Gelernter J, 2013, GEOINFORMATICA, V17, P635, DOI 10.1007/s10707-012-0173-8
   Gu MY, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19095197
   Gu MY, 2021, HEALTHCARE-BASEL, V9, DOI 10.3390/healthcare9091109
   Han X.H., 2019, ISPRS INT J GEO-INF, V8
   Hofmann T, 2001, MACH LEARN, V42, P177, DOI 10.1023/A:1007617005950
   Hunt K, 2022, RISK ANAL, V42, P1728, DOI 10.1111/risa.13634
   Hunt K, 2020, NAT HAZARDS, V103, P861, DOI 10.1007/s11069-020-04016-6
   Jacomy M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098679
   Kim J, 2018, INT J INFORM MANAGE, V40, P153, DOI 10.1016/j.ijinfomgt.2018.02.003
   Li L., 2022, ENVIRON DEV SUSTAIN, P1
   Li L, 2022, J ENVIRON MANAGE, V318, DOI 10.1016/j.jenvman.2022.115605
   Li L, 2022, ENERG ECON, V116, DOI 10.1016/j.eneco.2022.106426
   Li L, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19106316
   Li L, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105939
   Li L, 2022, J GLOB INF MANAG, V30, DOI 10.4018/JGIM.291514
   Li L, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2019.136380
   Li LC, 2022, ECOTOX ENVIRON SAFE, V241, DOI 10.1016/j.ecoenv.2022.113751
   Li LY, 2023, URBAN STUD, V60, P1750, DOI 10.1177/00420980211049350
   Liu Y., 2020, IEEE 5 INT C COMP CO
   Lu X, 2014, SCI REP-UK, V4, DOI 10.1038/srep06773
   Ma SJ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020795
   Mihunov VV, 2020, INT J DIGIT EARTH, V13, P1454, DOI 10.1080/17538947.2020.1729879
   Ngamassi L, 2016, J ORGAN END USER COM, V28, P122, DOI 10.4018/JOEUC.2016070108
   Ouaret R., 2019, 2019 6 INT C SOC NET
   Qin J, 2005, PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, P5144
   Simon T, 2015, INT J INFORM MANAGE, V35, P609, DOI 10.1016/j.ijinfomgt.2015.07.001
   Tahir M, 2022, RESOUR ENVIRON SUST, V8, DOI 10.1016/j.resenv.2022.100056
   Tseng S.F., 2011, INT C DIG INF COMM T
   Vosoughi S, 2018, SCIENCE, V359, P1146, DOI 10.1126/science.aap9559
   Wang BR, 2018, NAT HAZARDS, V93, P1145, DOI 10.1007/s11069-018-3344-6
   Wang BR, 2017, NAT HAZARDS, V89, P161, DOI 10.1007/s11069-017-2960-x
   Wang M, 2021, STRUCT CHANGE ECON D, V59, P427, DOI 10.1016/j.strueco.2021.09.018
   Wang YD, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8010025
   Wang Y, 2022, ENVIRON IMPACT ASSES, V97, DOI 10.1016/j.eiar.2022.106863
   Wang YM, 2021, RESOUR ENVIRON SUST, V4, DOI 10.1016/j.resenv.2021.100023
   Wu YL, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9ed1
   Wu Z.B., 2009, INT S ADV CONSTR MAN
   Xiao Y, 2015, NAT HAZARDS, V79, P1663, DOI 10.1007/s11069-015-1918-0
   Xu HC, 2022, ENVIRON IMPACT ASSES, V97, DOI 10.1016/j.eiar.2022.106905
   Yan L, 2019, PROD OPER MANAG, V28, P2514, DOI 10.1111/poms.13064
   Zhang L, 2021, RESOUR ENVIRON SUST, V5, DOI 10.1016/j.resenv.2021.100027
   Zhang W, 2008, KNOWL-BASED SYST, V21, P879, DOI 10.1016/j.knosys.2008.03.044
   Zhao Z.Y., 2008, JO C 3 INT C INF SYS
   Zhou B, 2022, COMPUT ENVIRON URBAN, V95, DOI 10.1016/j.compenvurbsys.2022.101824
NR 54
TC 23
Z9 23
U1 18
U2 74
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 MAY
PY 2023
VL 100
AR 107093
DI 10.1016/j.eiar.2023.107093
EA MAR 2023
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA A9WA4
UT WOS:000958535300001
DA 2025-04-22
ER

PT J
AU Lu, XH
   Chan, FKS
   Li, N
   Chen, CK
   Chen, WQ
   Chan, HK
AF Lu, Xiaohui
   Chan, Faith Ka Shun
   Li, Nan
   Chen, Chuke
   Chen, Wei-Qiang
   Chan, Hing Kai
TI Improving urban flood resilience via GDELT GKG analyses in China's
   Sponge Cities
SO SCIENTIFIC REPORTS
LA English
DT Article
ID CITY; PROGRESS; LESSONS
AB Urban floods are the most severe disaster in most Chinese cities due to rapid urbanisation and climate challenges. Recently, media data analytics has become prominent in enhancing urban flood resilience. In this study, news media data from the GKG of the GDELT project was innovatively used to examine the pattern of news media responses towards urban flooding in China's Sponge City Programme (SCP) pilot cities. We find that public sentiments toward urban flood events have been more positive in SCP pilot cities from 2015 to 2021. News media responses towards urban floods exhibit strong seasonality, which is significantly connected with rainfall patterns. Most of the media articles were posted during the urban flood event. Finally, we suggest the opportunities and challenges in applying GKG data analytics and new technologies for urban flood resilience. The results can provide beneficial references to urban flood management strategies in China's Sponge Cities for associated policymakers and stakeholders.
C1 [Lu, Xiaohui; Li, Nan; Chen, Chuke; Chen, Wei-Qiang] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China.
   [Lu, Xiaohui; Chan, Hing Kai] Univ Nottingham, Business Sch, Nottingham, Peoples R China.
   [Lu, Xiaohui; Li, Nan; Chen, Chuke; Chen, Wei-Qiang] Xiamen Key Lab Urban Metab, Xiamen 361021, Peoples R China.
   [Chan, Faith Ka Shun] Univ Nottingham, Sch Geog Sci, Ningbo 315100, Peoples R China.
   [Chan, Faith Ka Shun] Univ Leeds, Water Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England.
   [Chan, Faith Ka Shun] Southern Univ Sci & Technol, Res Base Shenzhen Municipal Policy & Dev, Shenzhen 518000, Peoples R China.
   [Li, Nan; Chen, Chuke; Chen, Wei-Qiang] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Chan, Hing Kai] Nottingham Ningbo China Beacons Excellence Res &, Ningbo 315100, 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; Southern University of Science & Technology;
   Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS
RP Li, N; Chen, WQ (corresponding author), Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China.; Li, N; Chen, WQ (corresponding author), Xiamen Key Lab Urban Metab, Xiamen 361021, Peoples R China.; Chan, FKS (corresponding author), Univ Nottingham, Sch Geog Sci, Ningbo 315100, Peoples R China.; Chan, FKS (corresponding author), Univ Leeds, Water Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England.; Chan, FKS (corresponding author), Southern Univ Sci & Technol, Res Base Shenzhen Municipal Policy & Dev, Shenzhen 518000, Peoples R China.; Li, N; Chen, WQ (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
EM faith.chan@nottingham.edu.cn; nanli@iue.ac.cn; wqchen@iue.ac.cn
RI Chan, Faith/AAV-4088-2020; chen, chuke/KHD-2551-2024; Chen,
   Wei-Qiang/HJY-2209-2023; Chan, Hing Kai/A-8343-2008; Chan, Faith Ka
   Shun/H-1541-2017
OI Chan, Faith Ka Shun/0000-0001-6091-6596; Chen,
   Wei-Qiang/0000-0002-7686-2331
FU National Natural Science Foundation of China [52170184]; National Key
   R&D Program of China [2019YFC1510400]; Hong Kong Environmental Council
   Fund [ECF: 44/2020]
FX This research is supported by the National Natural Science Foundation of
   China (52170184), the National Key R&D Program of China, Grant/Award
   Number (2019YFC1510400) and the Hong Kong Environmental Council Fund
   (ECF: 44/2020).
CR [Anonymous], 2015, THE GDELT PROJECT
   [Anonymous], 2014, SOC INF 6 INT C SOC, V8851
   Buckingham K, 2020, CURR OPIN ENV SUST, V45, P92, DOI 10.1016/j.cosust.2020.08.015
   Caretta, 2022, CONTRIBUTION WORKING
   Chan FKS, 2022, NAT REV EARTH ENV, V3, P99, DOI 10.1038/s43017-021-00251-y
   Chan FKS, 2021, ONE EARTH, V4, P1356, DOI 10.1016/j.oneear.2021.09.016
   Chan FKS, 2022, NAT HAZARDS, V110, P2397, DOI 10.1007/s11069-021-05030-y
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   GaWC, 2020, The World According to GaWC 2020
   George CS., 2007, CHINAS URBAN SPACE D, DOI [10.4324/9780203934791, DOI 10.4324/9780203934791]
   Griffiths J, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0222
   Han X, 2019, ENRGY PROCED, V159, P207, DOI 10.1016/j.egypro.2018.12.052
   Jing W., 2021, TORRENTIAL RAINSTORM
   Karunarathne AY, 2020, APPL GEOGR, V125, DOI [10.1016/j.apgeog.2020.102274, 10.1016/j.apgeog.102274]
   Leetaru K. H., 2015, GDELT GLOBAL KNOWLED
   Li FR, 2022, WATER SUPPLY, V22, P1638, DOI 10.2166/ws.2021.327
   Lin BB, 2021, LANCET PLANET HEALTH, V5, pE479, DOI 10.1016/S2542-5196(21)00135-2
   Liu JH, 2020, ENVIRON RES, V182, DOI 10.1016/j.envres.2019.108929
   Loo BPY, 2017, TELECOMMUN POLICY, V41, P731, DOI 10.1016/j.telpol.2017.03.001
   Miguez MG, 2017, ENVIRON PLAN B-URBAN, V44, P925, DOI 10.1177/0265813516655799
   Song X., 2021, EXTREME RAINFALL HIT
   Su Jiexi, 2020, DOES GLOBAL WARMING
   Tang JT, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102095
   The Intergovernmental Panel on Climate Change (IPCC), 2022, IPCC 6 ASS REP
   The Ministry of Housing and Urban-Rural Development of the People's Republic of China, 2020, ANN REP ROAD NETW DE
   Wang B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102884
   Wang P, 2021, NAT HAZARDS, V109, P2575, DOI 10.1007/s11069-021-04933-0
   Wang YT, 2017, RESOUR CONSERV RECY, V122, P11, DOI 10.1016/j.resconrec.2017.02.002
   Wang ZY, 2018, INT J GEOGR INF SCI, V32, P49, DOI 10.1080/13658816.2017.1367003
   Wen, 2021, MORE RAIN CAUSED EC
   Xia J, 2005, SCI CHINA SER D, V48, P713, DOI 10.1360/03yd0183
   Xu YS, 2018, J HYDROL, V563, P900, DOI 10.1016/j.jhydrol.2018.06.075
   Yuldashev F., 2018, EVALUATING DISASTER
   Zhao WJ, 2020, NATL SCI REV, V7, P938, DOI 10.1093/nsr/nwaa069
   Zhou TJ, 2021, INNOVATION-AMSTERDAM, V2, DOI 10.1016/j.xinn.2021.100173
NR 35
TC 11
Z9 11
U1 10
U2 52
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD NOV 24
PY 2022
VL 12
IS 1
AR 20317
DI 10.1038/s41598-022-24370-8
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA E0FT3
UT WOS:000972403100017
PM 36434038
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Parizi, SM
   Taleai, M
   Sharifi, A
AF Parizi, Sedigheh Meimandi
   Taleai, Mohammad
   Sharifi, Ayyoob
TI A GIS-Based Multi-Criteria Analysis Framework to Evaluate Urban Physical
   Resilience against Earthquakes
SO SUSTAINABILITY
LA English
DT Article
DE urban form indicators; problem-structuring techniques; disaster
   management; ANP method; natural hazards; spatial decision analysis
ID COMMUNITY RESILIENCE; CLIMATE-CHANGE; DISASTER RISK; SYSTEMS; NETWORKS;
   RECOVERY; CITIES; SPACE; FORM; TOOL
AB As complex man-made systems that are home to the majority of the world population, cities have always faced a wide range of risks such as earthquakes. As the backbone of urban systems, physical components, including buildings, transportation networks, communication networks, and open and green spaces, are also vulnerable to disasters. To enhance the capacity to deal with disaster risks, enhancing urban resilience has recently become an essential priority for cities. This study aims to develop and pilot test a framework to evaluate urban physical resilience based on resilience characteristics and associated physical indicators. Interpretive Structural Modelling (ISM) was used to determine the relationships between physical indicators, and Multi-Criteria Decision-Making methods were applied to determine the relative importance of the characteristics. The results showed that the 'Robustness of Building', 'Building Density', 'Aspect Ratio', and 'Street Width' are the most important among the twenty physical indicators considered in the proposed framework. Subsequently, the proposed framework was applied to one of the districts of Kerman, a major city located in the southwest, earthquake-prone part of Iran. Overall results indicate low levels of physical resilience. The findings of this study can provide urban planners and decision-makers with more transparent and practical insights into the physical resilience of cities. Results can also be used to design and implement policies and programs to improve the current conditions.
C1 [Parizi, Sedigheh Meimandi; Taleai, Mohammad] KN Toosi Univ Technol, Fac Geodesy & Geomat Engn, Spatial Decis Making & Smart Cities Lab, 470 Mirdamad, Tehran 1631714191, Iran.
   [Parizi, Sedigheh Meimandi] Sirjan Univ Technol, Dept Civil Engn, Sirjan 7813733385, Iran.
   [Taleai, Mohammad] Univ New South Wales UNSW, Sch Built Environm, Fac Arts Design & Architecture, Sydney, NSW 2052, Australia.
   [Sharifi, Ayyoob] Hiroshima Univ, Grad Sch Humanities & Social Sci, Higashihiroshima 7398529, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, IDEC Inst, Ctr Peaceful & Sustainable Futures CePEAS, Higashihiroshima 7398529, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, Higashihiroshima 7398529, Japan.
C3 K. N. Toosi University of Technology; University of New South Wales
   Sydney; Hiroshima University; Hiroshima University; Hiroshima University
RP Sharifi, A (corresponding author), Hiroshima Univ, Grad Sch Humanities & Social Sci, Higashihiroshima 7398529, Japan.; Sharifi, A (corresponding author), Hiroshima Univ, IDEC Inst, Ctr Peaceful & Sustainable Futures CePEAS, Higashihiroshima 7398529, Japan.; Sharifi, A (corresponding author), Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, Higashihiroshima 7398529, Japan.
EM smparizi@gmail.com; taleai@kntu.ac.ir; sharifi@hiroshima-u.ac.jp
RI Taleai, Mohammad/Q-6109-2019; Sharifi, Ayyoob/M-7584-2013
OI Sharifi, Ayyoob/0000-0002-8983-8613; Taleai,
   Mohammad/0000-0002-8419-4425; , sedigheh/0000-0001-5581-6101
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alizadeh H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093691
   Allan P., 2010, P 2010 NZSEE C, P1
   Allan P., 2011, Journal of Landscape Architecture, V6, P34, DOI [10.1080/18626033.2011.9723453, DOI 10.1080/18626033.2011.9723453]
   Allan P, 2013, J URBAN DES, V18, P242, DOI 10.1080/13574809.2013.772881
   Anhorn J, 2015, NAT HAZARD EARTH SYS, V15, P789, DOI 10.5194/nhess-15-789-2015
   [Anonymous], 2022, J Disaster Risk Reduct
   Aydin NY, 2018, NAT HAZARDS, V91, P37, DOI 10.1007/s11069-017-3112-z
   Beniya S., 2007, P 2 INT C URBAN DISA
   Berberian M, 2001, GEOPHYS J INT, V146, P371, DOI 10.1046/j.1365-246x.2001.01459.x
   Boeing G, 2018, URBAN DES INT, V23, P281, DOI 10.1057/s41289-018-0072-1
   Bourdic L, 2012, BUILD RES INF, V40, P592, DOI 10.1080/09613218.2012.703488
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Brand D, 2016, J URBAN DES, V21, P159, DOI 10.1080/13574809.2015.1133231
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Bruwier M, 2018, SCI TOTAL ENVIRON, V622, P446, DOI 10.1016/j.scitotenv.2017.11.325
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Cavallaro M, 2014, COMPUT-AIDED CIV INF, V29, P608, DOI 10.1111/mice.12080
   Cerè G, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101079
   Chang SE, 2010, DISASTERS, V34, P303, DOI 10.1111/j.1467-7717.2009.01130.x
   Chapagain N.K., 2016, REFLECTIONS BUILT EN, V2
   Chauhan A, 2018, J AIR WASTE MANAGE, V68, P100, DOI 10.1080/10962247.2016.1249441
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Chen SP, 2014, J TRANSP GEOGR, V36, P12, DOI 10.1016/j.jtrangeo.2014.02.006
   Chen TL, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103005
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Coaffee J, 2015, TOWN PLAN REV, V86, P249, DOI 10.3828/tpr.2015.16
   Davis J.M., 2013, Evolving cities: Exploring the relations between urban form resilience and the governance of urban form
   Dempsey N, 2010, FUTURE CITY, V2, P21, DOI 10.1007/978-1-4020-8647-2_2
   Downes N K., 2016, Sustainable Ho Chi Minh City: Climate Policies for Emerging Mega Cities, P89, DOI DOI 10.1007/978-3-319-04615-0_6
   Eraydin A., 2013, RESILIENCE THINKING, P17, DOI DOI 10.1007/978-94-007-5476-8_2
   Eraydin Ayda., 2013, RESILIENCE THINKING
   Erten S., 2016, RESILIENCE ABILITIES
   Fekete A, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101635
   Feliciotti A, 2016, OPEN HOUSE INT, V41, P23
   Freddi F, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102267
   Freudenberg M., 2003, COMPOSITE INDICATORS
   Ghasemzadeh B, 2020, CLIMATE, V8, DOI 10.3390/cli8100104
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Grafakos S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050461
   Guha-Sapir D., 2011, HUMAN CASUALTIES EAR, P13
   Hassler U., 2014, Resilience in the built environment
   Heilig Gerhard K., 2012, United Nations Dep. Econ. Soc. Aff. (DESA) Popul. Div. Popul. Estim. Proj. Sect, V14, P555
   Huang WJ, 2018, COMPUT ENVIRON URBAN, V71, P67, DOI 10.1016/j.compenvurbsys.2018.04.003
   Irajifar L, 2016, INT J DISASTER RESIL, V7, P259, DOI 10.1108/IJDRBE-10-2014-0074
   Kamranzad F, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9070430
   Karatani Y., 2004, P 13 WORLD C EARHQUA
   Koren D., 2018, P 16 EUROPEAN C EART
   León J, 2014, HABITAT INT, V43, P250, DOI 10.1016/j.habitatint.2014.04.006
   Li GQ, 2019, GEO-SPAT INF SCI, V22, P45, DOI 10.1080/10095020.2018.1560056
   Lotfi Sedighe N.A., 2020, NEW ATTITUDES HUM GE, V12, P19
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Malaperdas G, 2019, GEO-SPAT INF SCI, V22, P314, DOI 10.1080/10095020.2019.1634320
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   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
   Meshkini A, 2021, NAT HAZARDS, V109, P2027, DOI 10.1007/s11069-021-04909-0
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mohammadzadeh A., QUICK BIRD HAUTE RSO
   Ng ST, 2018, PROCEDIA ENGINEER, V212, P198, DOI 10.1016/j.proeng.2018.01.026
   Oien K, 2001, RELIAB ENG SYST SAFE, V74, P129, DOI 10.1016/S0951-8320(01)00067-9
   Parizi SM, 2021, NAT HAZARDS, V109, P725, DOI 10.1007/s11069-021-04855-x
   Rajabi M., 2011, J Env Stud, V37, P77
   Rajesh R, 2017, TECHNOL FORECAST SOC, V118, P161, DOI 10.1016/j.techfore.2017.02.017
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Saaty T. L., 2004, Journal of Systems Science and Systems Engineering, V13, P348, DOI 10.1007/s11518-006-0171-1
   Saaty T.L., 1996, Decision making with dependence and feedback: The analytic network process
   Saaty T.L., 2006, DECISION MAKING ANAL, V282
   Saaty T.L., 1980, ANAL HIERARCHY PROCE
   Sajjad M, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102850
   Salat S, 2017, INT J URBAN SUSTAIN, V9, P107, DOI 10.1080/19463138.2016.1277227
   Salazar S., 2010, Conjugate Heat Transfer on a Gas Turbine Blade, P1
   Saxena M.R., 2016, ROLE OPEN SPACES DIS
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Shao ZF, 2021, GEO-SPAT INF SCI, V24, P372, DOI 10.1080/10095020.2020.1864232
   Sharifi A, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5010018
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2016, ADV SCI TECH SEC APP, P259, DOI 10.1007/978-3-319-39812-9_13
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Shrestha SR, 2018, APPL GEOGR, V93, P81, DOI 10.1016/j.apgeog.2018.02.016
   Siavash YasamanS., 2016, Achieving Urban Resilience: Through Urban Design and Planning Principles
   Silva C, 2013, PROG PLANN, V81, P1, DOI 10.1016/j.progress.2012.07.001
   Silva MC, 2017, APPL ENERG, V202, P386, DOI 10.1016/j.apenergy.2017.05.113
   Stevens MR, 2010, LANDSCAPE URBAN PLAN, V94, P105, DOI 10.1016/j.landurbplan.2009.08.004
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Taleai M, 2007, INT J APPL EARTH OBS, V9, P375, DOI 10.1016/j.jag.2006.12.002
   Taleai Mohammad, 2008, Journal of Applied Sciences, V8, P2746, DOI 10.3923/jas.2008.2746.2751
   Taleai M., DEMAND SUPPLY EVALUA
   Taleai M, 2009, J GEOGR SYST, V11, P291, DOI 10.1007/s10109-009-0089-5
   Ujoh F, 2019, GEO-SPAT INF SCI, V22, P332, DOI 10.1080/10095020.2019.1637075
   UNISDR, 2019, GLOBAL ASSESSMENT RE
   Unisdr U., P 3 UN WORLD C DRR
   van den Hoek J., 2008, U Corporations and Cities: Envsioning Corporate Real Estate in the Urban Future, P1
   Verrucci E., 2012, P 15 WORLD C EARTHQU
   Villagra P, 2014, APPL GEOGR, V48, P64, DOI 10.1016/j.apgeog.2014.01.010
   Walker B, 2012, RESILIENCE THINKING
   Wallemacq P., 2018, Economic Losses, Poverty & Disasters: 1998-2017
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wu X, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102354
   Xu WP, 2020, SAFETY SCI, V127, DOI 10.1016/j.ssci.2020.104699
   Yang YF, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101485
   Yin S.H., 2012, Sci. Res. Essays, V7, P1872, DOI [10.5897/sre11.2252, DOI 10.5897/SRE11.2252, 10.5897/SRE11.2252]
   Yousuf Reja M., 2012, INVESTIGATING ROLE O
   Zafarani H, 2019, J EARTHQ ENG, V23, P1485, DOI 10.1080/13632469.2017.1387189
   Zekry M., 2020, P REAL CORP 2020 25
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   Zhao XD, 2016, STRUCT INFRASTRUCT E, V12, P1634, DOI 10.1080/15732479.2016.1157609
NR 109
TC 15
Z9 15
U1 15
U2 64
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2022
VL 14
IS 9
AR 5034
DI 10.3390/su14095034
PG 31
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 1F8NG
UT WOS:000795418100001
OA gold
DA 2025-04-22
ER

PT J
AU Yin, JT
   Ren, XL
   Liu, RH
   Tang, T
   Su, S
AF Yin, Jiateng
   Ren, Xianliang
   Liu, Ronghui
   Tang, Tao
   Su, Shuai
TI Quantitative analysis for resilience-based urban rail systems: A hybrid
   knowledge-based and data-driven approach
SO RELIABILITY ENGINEERING & SYSTEM SAFETY
LA English
DT Article
DE Resilience; Urban rail systems; Bayesian network; Quantitative;
   Transportation
ID BAYESIAN NETWORKS; FRAMEWORK
AB The rapid expansions of urban rail networks are faced with the growing number of disruptions caused by the complex rail signaling systems, incorrect driving behaviors, and extreme weather. Since urban rail systems are inherently complex and many of these disruptions are usually uncertain and inevitable, the rail managers have gradually paid more attention to the ability to withstand and quickly recover. Nevertheless, only a small number of recent developments have tried to address the ability of an urban rail system to recover from disruptions while considering the inherent structures. In this work, we propose a hybrid knowledge-based and data-driven approach for quantitative analysis of resilience. The aim is to model the causal relationships to quantify the importance of different perturbations to the overall resilience criteria. A set of key features related to the risk assessment and system resilience are summarized according to the historical data in Beijing Metro. Then, we develop a training procedure based on the structure of BN and historical data. Finally, we embed this hybrid approach into software that is applied to Beijing Metro. The results demonstrate the quantitative relationships between system resilience and different types of events.
C1 [Yin, Jiateng; Ren, Xianliang; Tang, Tao; Su, Shuai] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.
   [Liu, Ronghui] Univ Leeds, Inst Transport Studies, Leeds, W Yorkshire, England.
C3 Beijing Jiaotong University; University of Leeds
RP Su, S (corresponding author), Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.
EM jtyin@bjtu.edu.cn; shuaisu@bjtu.edu.cn
FU Fundamental Research Funds for the Central Universities, China
   [2020JBM080]; National Science Foundation of China [71901016]; State Key
   Laboratory of Rail Traffic Control and Safety, China [RCS2020ZZ004];
   National Key R&D Program of China [SQ2020YFB160102]; Royal Academy of
   Engineering, UK [UK-CIAPP\286, TSPC1025]
FX This research was supported by the Fundamental Research Funds for the
   Central Universities, China (Nos. 2020JBM080), the National Science
   Foundation of China (Nos. 71901016), the State Key Laboratory of Rail
   Traffic Control and Safety, China (Nos. RCS2020ZZ004), the National Key
   R&D Program of China (Nos. SQ2020YFB160102) and the Royal Academy of
   Engineering, UK (Newton Fund projects UK-CIAPP\286 and TSPC1025).
CR Adjetey-Bahun K, 2016, RELIAB ENG SYST SAFE, V153, P1, DOI 10.1016/j.ress.2016.03.015
   Ahmadian N, 2020, RELIAB ENG SYST SAFE, V200, DOI 10.1016/j.ress.2020.106977
   Aven T, 2021, RELIAB ENG SYST SAFE, V205, DOI 10.1016/j.ress.2020.107270
   Behjati S, 2020, ENG APPL ARTIF INTEL, V91, DOI 10.1016/j.engappai.2020.103617
   Besinovic N, 2020, TRANSPORT REV, V40, P457, DOI 10.1080/01441647.2020.1728419
   Borji A, 2012, P AAAI C ART INT, V26, P1529
   Carvalho H, 2012, COMPUT IND ENG, V62, P329, DOI 10.1016/j.cie.2011.10.003
   Chang SE, 2004, EARTHQ SPECTRA, V20, P739, DOI 10.1193/1.1775796
   Dessavre DG, 2016, RELIAB ENG SYST SAFE, V149, P34, DOI 10.1016/j.ress.2015.12.009
   Faturechi R, 2014, TRANSPORT RES B-METH, V70, P47, DOI 10.1016/j.trb.2014.08.007
   Ferrario E, 2022, RELIAB ENG SYST SAFE, V217, DOI 10.1016/j.ress.2021.108040
   Ganin AA, 2019, TRANSPORT RES C-EMER, V100, P318, DOI 10.1016/j.trc.2019.01.014
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   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
   Hossain NUI, 2019, RELIAB ENG SYST SAFE, V189, P378, DOI 10.1016/j.ress.2019.04.037
   Hosseini S, 2022, INT J PROD RES, V60, P5258, DOI 10.1080/00207543.2021.1953180
   Hosseini S, 2020, EXPERT SYST APPL, V161, DOI 10.1016/j.eswa.2020.113649
   Hosseini S, 2016, J MANUF SYST, V41, P211, DOI 10.1016/j.jmsy.2016.09.006
   Hosseini S, 2016, INT J PROD ECON, V180, P68, DOI 10.1016/j.ijpe.2016.07.007
   Hosseini S, 2016, COMPUT IND ENG, V93, P252, DOI 10.1016/j.cie.2016.01.007
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Iannacone L, 2022, RELIAB ENG SYST SAFE, V217, DOI 10.1016/j.ress.2021.108074
   Janic M, 2013, PROC INT NECTAR C, P16
   Jin JG, 2014, TRANSPORT RES E-LOG, V63, P17, DOI 10.1016/j.tre.2014.01.002
   Kammouh O, 2020, RELIAB ENG SYST SAFE, V198, DOI 10.1016/j.ress.2020.106813
   Khaled AA, 2015, TRANSPORT RES B-METH, V71, P71, DOI 10.1016/j.trb.2014.10.002
   Labaka L, 2015, RELIAB ENG SYST SAFE, V141, P92, DOI 10.1016/j.ress.2015.03.009
   Li YH, 2010, LECT NOTES COMPUT SC, V6328, P26, DOI 10.1007/978-3-642-15621-2_4
   Liu X, 2021, RELIAB ENG SYST SAFE, V215, DOI 10.1016/j.ress.2021.107868
   Ouyang M, 2012, STRUCT SAF, V36-37, P23, DOI 10.1016/j.strusafe.2011.12.004
   Shirali GHA, 2012, PROCESS SAF ENVIRON, V90, P83, DOI 10.1016/j.psep.2011.08.003
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Sun L, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.108030
   Sun LJ, 2015, TRANSPORT RES C-EMER, V61, P49, DOI 10.1016/j.trc.2015.10.010
   Sun LJ, 2015, TRANSPORT RES C-EMER, V52, P116, DOI 10.1016/j.trc.2015.01.001
   Szymula C, 2020, TRANSPORT RES B-METH, V136, P30, DOI 10.1016/j.trb.2020.03.008
   Tang JQ, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107715
   Tang JQ, 2020, TRANSPORT RES C-EMER, V121, DOI 10.1016/j.trc.2020.102840
   Wang HW, 2020, TRANSPORT RES C-EMER, V115, DOI 10.1016/j.trc.2020.102619
   Wu YY, 2021, RELIAB ENG SYST SAFE, V211, DOI 10.1016/j.ress.2021.107612
   Xu DN, 2019, IEEE INTELL SYST, V34, P6, DOI 10.1109/MIS.2019.2918092
   Yin JT, 2021, EUR J OPER RES, V295, P183, DOI 10.1016/j.ejor.2021.02.059
   Yin JT, 2017, TRANSPORT RES C-EMER, V85, P548, DOI 10.1016/j.trc.2017.09.009
   Yodo N, 2016, J MECH DESIGN, V138, DOI 10.1115/1.4032399
   Zhang LM, 2013, EXPERT SYST APPL, V40, P4273, DOI 10.1016/j.eswa.2012.11.022
   Zhang N, 2018, RISK ANAL, V38, P31, DOI 10.1111/risa.12807
   Zhang YP, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.108043
   Zinetullina A, 2021, RELIAB ENG SYST SAFE, V205, DOI 10.1016/j.ress.2020.107232
   Zio E., 2020, RELIAB ENG SYST SAF, V218
   Zobel CW, 2014, COMPUT OPER RES, V42, P83, DOI 10.1016/j.cor.2011.09.024
NR 51
TC 93
Z9 98
U1 49
U2 335
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 MAR
PY 2022
VL 219
AR 108183
DI 10.1016/j.ress.2021.108183
PG 15
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 ZG6BH
UT WOS:000760341500006
OA Green Accepted
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Wang, S
   Fu, J
   Wang, H
AF Wang, Sheng
   Fu, Jia
   Wang, Heng
TI Unified and rapid assessment of climate resilience of urban drainage
   system by means of resilience profile graphs for synthetic and real
   (persistent) rains
SO WATER RESEARCH
LA English
DT Article
DE Pluvial flooding; Urban drainage system; Reliability; Robustness;
   Resilience
ID WATER MANAGEMENT; GREEN; CHALLENGES; SAFE
AB Urban drainage system (UDS) researchers have applied the concept of resilience for minimizing the magnitude and duration of urban flooding in response to climate change. Currently, the relationship between conventional design and resilience analysis still remains unknown, while persistent rain has not been included in resilience assessment. The present study proposes new metrics by means of resilience profile graph for UDS stressed by synthetic short-duration storms and real persistent rains. The graph unifies the concepts of reliability, robustness, resilience and failure, as well as design standards for sewer surcharging, sewer flooding and property flooding, which are linked into curves to show a complete performance under climate stress scenarios. The obtained results show that resilience profile curves for short-duration storms are well fitted by power functions with coefficient of determination 98.13%-99.9%. Chicago hyetograph was used as critical input hyetograph where the error range was -0.34%-6.83% compared with actual hyetograph. Resilience profile graphs for persistent rains reveal that resilience assessment based on short-duration storms underestimates the effect of persistent rains, and it can be obtained by using segmental and reference reliability metrics to reduce working time from weeks to hours. For the rain of the same intensity, resilience to persistent rain was 18.4-33.1% lower than for single rains. Threat of persistent rain doesn't fall under the rains of high intensity but under large rainfall in total (which exceeds 25% of local annual rainfall), while re-planning water landscape as retarding basin reduces the impact of persistent rains to 5.8-11.8%. (C) 2019 Elsevier Ltd. All rights reserved.
C1 [Wang, Sheng; Fu, Jia; Wang, Heng] Tongji Univ, Sch Environm Sci & Engn, State Key Lab Pollut Control & Resources Reuse, Shanghai 200092, Peoples R China.
   [Wang, Sheng] Tongji Univ, Minist Educ, Key Lab Yangtze River Water Environm, Shanghai 200092, Peoples R China.
   [Wang, Sheng] Key Lab Cities Mitigat & Adaptat Climate Change S, Shanghai 200092, Peoples R China.
   [Fu, Jia] Shanghai Inst Pollut Control & Ecol Secur, Shanghai 200092, Peoples R China.
C3 Tongji University; Tongji University
RP Wang, S (corresponding author), Tongji Univ, Sch Environm Sci & Engn, State Key Lab Pollut Control & Resources Reuse, Shanghai 200092, Peoples R China.
EM wangs_tj@tongji.edu.cn
OI Wang, Sheng/0000-0001-6551-4166
FU Science and Technology Commission of Shanghai Municipality [19ZR1459500]
FX This study was supported by Science and Technology Commission of
   Shanghai Municipality (grant number: 19ZR1459500).
CR Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D., 2018, URBAN DRAINAG
   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
   [谌芸 Chen Yun], 2012, [气象, Meteorological Monthly], V38, P1255
   [淡永利 Dan Yongli], 2014, [生态学报, Acta Ecologica Sinica], V34, P1311
   de Bruijn K, 2017, ENVIRON SCI POLICY, V70, P21, DOI 10.1016/j.envsci.2017.02.001
   Dong X, 2017, WATER RES, V124, P280, DOI 10.1016/j.watres.2017.07.038
   Earvolino-Ramirez M, 2007, NURS FORUM, V42, P73, DOI 10.1111/j.1744-6198.2007.00070.x
   [房国良 Fang Guoliang], 2012, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V21, P1270
   Francis R, 2014, RELIAB ENG SYST SAFE, V121, P90, DOI 10.1016/j.ress.2013.07.004
   Gaines JM, 2016, NATURE, V531, pS54, DOI 10.1038/531S54a
   Garcia-Dia MJ, 2013, ARCH PSYCHIAT NURS, V27, P264, DOI 10.1016/j.apnu.2013.07.003
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Gunnell K, 2019, SCI TOTAL ENVIRON, V670, P411, DOI 10.1016/j.scitotenv.2019.03.212
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   [黄浦江 Huang Pujiang], 2012, [生态环境学报, Ecology and Environmental Sciences], V21, P1588
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Juan-García P, 2017, WATER RES, V115, P149, DOI 10.1016/j.watres.2017.02.047
   [柯庆 Ke Qing], 2016, [中国给水排水, China Water & Wastewater], V32, P6
   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
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Liu S, 2017, LANDSCAPE ARCHIT, P60
   Makropoulos C, 2018, URBAN WATER J, V15, P316, DOI 10.1080/1573062X.2018.1457166
   MOHURD, 2017, GB512222017 MOHURD
   MOHURD, 2011, 500142006 GB MOHURD
   MOHURD, 2014, 500142006 GB MOHURD
   MOHURD, 2016, 500142006 GB MOHURD
   Mugume S., 2014, 13 INT C URBAN DRAIN, DOI [10.13140/2.1.3291.1047, DOI 10.13140/2.1.3291.1047]
   Mugume SN, 2017, URBAN WATER J, V14, P727, DOI 10.1080/1573062X.2016.1253754
   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
   Nutsford D, 2016, HEALTH PLACE, V39, P70, DOI 10.1016/j.healthplace.2016.03.002
   Oliver TH, 2015, TRENDS ECOL EVOL, V30, P673, DOI 10.1016/j.tree.2015.08.009
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Qin HP, 2013, J ENVIRON MANAGE, V129, P577, DOI 10.1016/j.jenvman.2013.08.026
   Qiu J., 2012, Nature
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Rossman L., 2015, EPA600R14413B
   Rossman LA, 2017, EPA600R17111 USEPA, VII
   Shanghai Water Authority, 2017, DB31T1043 SHANGH WAT
   Simonovic SP, 2016, ENVIRON MODELL SOFTW, V81, P136, DOI 10.1016/j.envsoft.2016.03.016
   Sun J.S., 2012, TORR RAIN DIS, V31, P218, DOI DOI 10.1017/CB09781107415324.004
   Wang S, 2018, WATER RES, V144, P112, DOI 10.1016/j.watres.2018.07.022
   Wang S, 2018, J CLEAN PROD, V175, P333, DOI 10.1016/j.jclepro.2017.12.049
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Xie JQ, 2017, ENVIRON MODELL SOFTW, V95, P143, DOI 10.1016/j.envsoft.2017.06.027
   Xue XB, 2015, WATER RES, V77, P155, DOI 10.1016/j.watres.2015.03.017
   Young PD, 2017, NURS OUTLOOK, V65, P579, DOI 10.1016/j.outlook.2017.03.009
NR 50
TC 14
Z9 15
U1 4
U2 109
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0043-1354
J9 WATER RES
JI Water Res.
PD OCT 1
PY 2019
VL 162
BP 11
EP 21
DI 10.1016/j.watres.2019.06.050
PG 11
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA IN9UD
UT WOS:000479023000002
PM 31254882
DA 2025-04-22
ER

PT J
AU Patel, RB
   Gleason, KM
AF Patel, Ronak B.
   Gleason, Kelsey M.
TI The association between social cohesion and community resilience in two
   urban slums of Port au Prince, Haiti
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Social cohesion; Resilience; Urban slums; Disaster risk reduction
ID DISASTER RISK REDUCTION; NEIGHBORHOOD COHESION; HEALTH
AB Multiple recent global agendas have advanced the case for resilience to underpin humanitarian action anddisaster risk reduction. These agendas have been incorporated into multiple efforts but evidence to guide actionhas lagged behind. This study examines a specific link, often cited through qualitative research, between socialcohesion and community resilience in two urban slums of Port au Prince, Haiti. Scales to measure social cohesionand resilience are applied to these communities to develop a quantitative measure of these two characteristics.These two characteristics are then analyzed with various other demographic variables of community members toquantitatively explore associations among them. The results show that a higher social cohesion score is statisticallyassociated with a higher resilience score and among the variables tested, social cohesion had the greatestimpact on the community resilience as measured by these scales, and shows a statistical association between thetwo. The findings add to the growing but nascent literature on empirical evidence for resilience characteristics.Further examinations are drawn out of the findings and future investigations should tackle the inductivelyderived characteristics of resilience to further guide programs and policy
C1 [Patel, Ronak B.] Harvard Humanitarian Initiat, 14 Story St, Cambridge, MA 02138 USA.
   [Patel, Ronak B.] Brigham & Womens Hosp, Dept Emergency Med, 75 Francis St, Boston, MA 02115 USA.
   [Patel, Ronak B.] Harvard Med Sch, 25 Shattuck St, Boston, MA 02115 USA.
   [Gleason, Kelsey M.] Harvard TH Chan Sch Publ Hlth, 677 Huntington Ave, Boston, MA 02115 USA.
C3 Harvard University; Harvard University; Harvard University Medical
   Affiliates; Brigham & Women's Hospital; Harvard University; Harvard
   Medical School; Harvard University; Harvard T.H. Chan School of Public
   Health
RP Patel, RB (corresponding author), Harvard Humanitarian Initiat, 14 Story St, Cambridge, MA 02138 USA.; Gleason, KM (corresponding author), Harvard TH Chan Sch Publ Hlth, 677 Huntington Ave, Boston, MA 02115 USA.
EM rbpatel1@bwh.harvard.edu; kgleason@mail.harvard.edu
CR Ahmed R, 2004, S AFR J PSYCHOL, V34, P386, DOI 10.1177/008124630403400304
   Aitsi-Selmi A, 2015, INT J DISAST RISK SC, V6, P164, DOI 10.1007/s13753-015-0050-9
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 2000, NEXUS VIOLENT CONFLI
   [Anonymous], 2015, Partnership Review Note
   [Anonymous], 2009, INTEGRATING DEV DISA
   [Anonymous], 2007, SUMMER ACAD SOC VULN
   [Anonymous], PLOS CURR
   ARUP, 2014, RES REP FIELDW, V2
   ARUP/IFRC, 2003, CHAR SAF RES COMM LA
   Bahadur AV, 2010, CLIMATE ENV
   Beccari B., 2016, PLOS CURR, V8
   Berkes F., 2000, LINKING SOCIAL ECOLO
   Bn C., 2012, IDS WORKING PAPERS, V2012, P1, DOI [DOI 10.1111/J.2040-0209.2012.00405.X, 10.1111/J.2040-0209.2012.00405.X]
   BUCKNER JC, 1988, AM J COMMUN PSYCHOL, V16, P771, DOI 10.1007/BF00930892
   Carpenter JP, 2004, J ECON BEHAV ORGAN, V55, P533, DOI 10.1016/j.jebo.2003.11.007
   Corbet A., COMMUNITY BASED APPR
   DeBoer J, 2016, CONCEPTUALIZING CITY
   Ellaway A, 2001, URBAN STUD, V38, P2299, DOI 10.1080/00420980120087171
   Fone D, 2007, INT J EPIDEMIOL, V36, P338, DOI 10.1093/ije/dym004
   Hirschfield A, 1997, URBAN STUD, V34, P1275, DOI 10.1080/0042098975637
   IFRC, CHAR SAF RES COMM CO
   Index C.R., 2014, CITY RESILIENCE FRAM
   Leonardi R., 1994, Making democracy work: Civic traditions in modern
   Macintyre S, 2000, Health Bull (Edinb), V58, P450
   Mahmood J., WORLD HUMANITARIAN S
   McCandless E., ASSESSING RESILIENCE
   McCulloch A, 2003, SOC SCI MED, V56, P1425, DOI 10.1016/S0277-9536(02)00139-9
   Niekerk D.V., INTRO DISASTER RISK
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Patel R., 2016, Defining the Resilient City
   Patel S.S., 2017, PLOS CURR DISASTERS
   Pfefferbaum R.L., 2011, COMMUNITIES ADV RESI
   ROBINSON D, 1995, AM J COMMUN PSYCHOL, V23, P137, DOI 10.1007/BF02506926
   Townshend I, 2015, NAT HAZARDS, V76, P913, DOI 10.1007/s11069-014-1526-4
   Twigg J., 2007, Characteristics of a Disaster-Resilient Community: A Guidance Note
   U. ISDR, 2005, WORLD C DIS RED
NR 37
TC 35
Z9 43
U1 7
U2 47
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD MAR
PY 2018
VL 27
BP 161
EP 167
DI 10.1016/j.ijdrr.2017.10.003
PG 7
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 FS0WC
UT WOS:000419493400017
DA 2025-04-22
ER

PT J
AU Shi, LD
   Lamb, Z
   Qiu, X
   Cai, HR
   Vale, L
AF Shi, Linda
   Lamb, Zachary
   Qiu, Xi (Colleen)
   Cai, Hongru
   Vale, Lawrence
TI Promises and perils of collective land tenure in promoting urban
   resilience: Learning from China's urban villages
SO HABITAT INTERNATIONAL
LA English
DT Article
DE Resilience; Land tenure; Property rights; Community governance;
   Collective governance; Urban villages; China
ID PROPERTY-RIGHTS; CLIMATE; SLUM; CITY; REDEVELOPMENT; URBANIZATION;
   PERSPECTIVE; ADAPTATION; RESPONSES; TOWNSHIP
AB New frameworks for "urban resilience" frequently overlook the role of property rights and tenure security in shaping vulnerability, as well as how different property rights regimes shape societal capacity to adapt to environmental and developmental disruptions. We contribute to these discussions by examining how collective urban land tenure affects community-scale resilience, defined as environmental wellbeing, productive livelihoods, and empowered governance. We use urban villages in Shenzhen to study how this widespread phenomenon of collective land ownership in Chinese cities allowed rural villagers to adapt as cities spread around them over time. Drawing on a literature review, interviews, and a field visit to Shenzhen, we find that collective tenure in Shenzhen's urban villages has helped them avoid some of the limitations seen in household-level tenure formalization efforts elsewhere. Collective tenure enabled rural villages to create self-governance mechanisms that allowed them to transform individual and collective assets into vibrant, well-serviced, and mixed-use neighborhoods. Urban villages house most of Shenzhen's residents and have helped underwrite the region's industrialization process. However, collective tenure also has hindered integration with Shenzhen's urban infrastructure, governance, and taxation systems, resulted in astronomical profits for village elites, and repeated historic patterns of unequal land ownership in China. The promises and perils of collective urban property rights seen in Shenzhen call for research on other such models around the world to further inform whether and how such property rights regimes can support equitable and holistic notions of urban resilience.
C1 [Shi, Linda] Cornell Univ, Dept City & Reg Planning, 213 West Sibley Hall, Ithaca, NY 14853 USA.
   [Lamb, Zachary; Qiu, Xi (Colleen); Cai, Hongru; Vale, Lawrence] MIT, Dept Urban Studies & Planning, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
C3 Cornell University; Massachusetts Institute of Technology (MIT)
RP Shi, LD (corresponding author), Cornell Univ, Dept City & Reg Planning, 213 West Sibley Hall, Ithaca, NY 14853 USA.
EM lindashi@cornell.edu; zlamb@mit.edu; xiq@mit.edu; caihr@alum.mit.edu;
   ljvale@mit.edu
RI Vale, Lawrence/LBH-2812-2024
OI Shi, Linda/0000-0002-2444-367X; /0000-0003-3052-2144
FU MIT Samuel Tak Lee Laboratory Faculty Seed Fund [2005078]
FX This research was supported by the MIT Samuel Tak Lee Laboratory Faculty
   Seed Fund (Grant number 2005078).
CR Al-Nammari F, 2013, HABITAT INT, V39, P224, DOI 10.1016/j.habitatint.2013.01.001
   Alexander G.S., 2012, INTRO PROPERTY THEOR, V1st
   Anderson S, 2010, NEW FRONT SOC POLICY, P199
   Angotti T., 2007, Community Land Trusts and Low income Multifamily Rental Housing: The Case of Cooper Square, New York City
   [Anonymous], 2007, BUILDING CLIMATE CHA
   [Anonymous], PLANNING THEORY PRAC
   [Anonymous], URB CHIN EFF INCL SU
   [Anonymous], URBAN VILLAGES SHENZ
   [Anonymous], CHINA REAL ESTA 0718
   [Anonymous], RES URBAN RURAL INTE
   [Anonymous], GUID IMPR URB PLANN
   [Anonymous], FUTURE URBAN VILLAGE
   [Anonymous], SHENZH 2017 HUM RES
   [Anonymous], TENCENT NEWS 0406
   [Anonymous], DAT B SHENZH STAT BA
   [Anonymous], MEAS LAND REG
   [Anonymous], LAND TENURE J
   [Anonymous], 2014, J INSECT SCI
   [Anonymous], PENGPAI NEWS 0810
   [Anonymous], MAN SMALL PROP RIGHT
   [Anonymous], LINCOLN I LAND POLIC
   [Anonymous], 2003, CHALL SLUMS GLOB REP
   [Anonymous], SINA NEWS 0925
   [Anonymous], PRIVATE CITIES LOCAL
   Bach J, 2010, CULT ANTHROPOL, V25, P421, DOI 10.1111/j.1548-1360.2010.01066.x
   Bassett EM, 1997, LAND USE POLICY, V14, P215, DOI 10.1016/S0264-8377(97)00003-3
   Boonyabancha S, 2005, ENVIRON URBAN, V17, P21, DOI 10.1177/095624780501700104
   Bromley DW, 2009, LAND USE POLICY, V26, P20, DOI 10.1016/j.landusepol.2008.02.003
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Che JH, 1998, J LAW ECON ORGAN, V14, P1, DOI 10.1093/oxfordjournals.jleo.a023392
   Choguill CL, 1999, HABITAT INT, V23, P289, DOI 10.1016/S0197-3975(98)00053-8
   Choi M., 2017, Journal of Urban Affairs, P1
   Chung H, 2009, INT PLAN STUD, V14, P253, DOI 10.1080/13563470903450606
   Cooke B., 2001, PARTICIPATION NEW TY, P1
   Das AK, 2009, J PLAN EDUC RES, V29, P213, DOI 10.1177/0739456X09348613
   Dasgupta A, 2007, DEV CHANGE, V38, P229, DOI 10.1111/j.1467-7660.2007.00410.x
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Davy B., 2012, Land policy, planning and the spatial consequences of property
   De Soto H., 2000, Arch. Environ. Occup. Health, DOI DOI 10.5860/CHOICE.39-0438
   de Wit J, 2009, DEV CHANGE, V40, P927, DOI 10.1111/j.1467-7660.2009.01589.x
   DEVAS N, 1981, EKISTICS, V48, P19
   Dodman D, 2010, INT DEV PLANN REV, V32, P1, DOI 10.3828/idpr.2009.10
   Fawaz M, 2017, PLAN THEORY PRACT, V18, P345, DOI 10.1080/14649357.2017.1328805
   Feder G, 1998, LAND USE POLICY, V15, P25, DOI 10.1016/S0264-8377(97)00039-2
   Feldman S, 2012, J PEASANT STUD, V39, P971, DOI 10.1080/03066150.2012.661719
   Field E, 2005, J EUR ECON ASSOC, V3, P279, DOI 10.1162/1542476054472937
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Hao P, 2013, INT J URBAN REGIONAL, V37, P2177, DOI 10.1111/j.1468-2427.2012.01109.x
   Haque AN, 2014, ENVIRON URBAN, V26, P112, DOI 10.1177/0956247813518681
   Hin LL, 2011, HABITAT INT, V35, P426, DOI 10.1016/j.habitatint.2010.12.001
   Kochan D, 2015, INT J URBAN REGIONAL, V39, P927, DOI 10.1111/1468-2427.12287
   Lall SV, 2009, URBAN LAND MARKETS: IMPROVING LAND MANAGEMENT FOR SUCCESSFUL URBANIZATION, P1, DOI 10.1007/978-1-4020-8862-9
   Lebel L, 2006, ECOL SOC, V11
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lin YL, 2014, CITIES, V40, P111, DOI 10.1016/j.cities.2014.03.011
   Liu YT, 2010, HABITAT INT, V34, P135, DOI 10.1016/j.habitatint.2009.08.003
   LIVERMAN DM, 1990, ANN ASSOC AM GEOGR, V80, P49, DOI 10.1111/j.1467-8306.1990.tb00003.x
   Mearns R, 2010, NEW FRONT SOC POLICY, P1
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Moore T, 2012, HOUSING STUD, V27, P280, DOI 10.1080/02673037.2012.647306
   Ng E, 2018, URBAN CLIM, V23, P352, DOI 10.1016/j.uclim.2017.07.006
   Nussbaum MarthaC., 2013, CREATING CAPABILITIE
   O'Donnell MaryAnn., 2017, LEARNING SHENZHEN CH, V1st
   Payne G, 2004, HABITAT INT, V28, P167, DOI 10.1016/S0197-3975(03)00066-3
   Payne G, 2001, HABITAT INT, V25, P415, DOI 10.1016/S0197-3975(01)00014-5
   Payne G, 2009, ENVIRON URBAN, V21, P443, DOI 10.1177/0956247809344364
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Penalver EduardoMoises., 2010, Property Outlaws: How Squatters, Pirates, and Protesters Improve the Law of Ownership
   Plummer R, 2007, ECOL ECON, V61, P62, DOI 10.1016/j.ecolecon.2006.09.025
   Reale A, 2011, DISASTERS, V35, P160, DOI 10.1111/j.1467-7717.2010.01198.x
   Rigon A, 2016, URBAN STUD, V53, P2758, DOI 10.1177/0042098015602658
   Rolnik R., 2013, Report of the Special Rapporteur on adequate housing as a component of the right to an adequate standard of living, and on the right to non-discrimination in this context, Raquel Rolnik
   Roy M, 2013, ENVIRON URBAN, V25, P157, DOI 10.1177/0956247813477362
   Sawyer L, 2014, AFR STUD-UK, V73, P271, DOI 10.1080/00020184.2014.925207
   Scott J.C, 2020, Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed
   Sen A., 2005, Journal of Human Development, V6, P151, DOI [DOI 10.1080/14649880500120491, 10.1080/14649880500120491]
   Song Y, 2012, REG SCI URBAN ECON, V42, P495, DOI 10.1016/j.regsciurbeco.2011.06.003
   Sun L., 2015, Land, VLines, P14
   Vale LJ, 2014, CITYSCAPE, V16, P21
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Wang YP, 2009, INT J URBAN REGIONAL, V33, P957, DOI 10.1111/j.1468-2427.2009.00891.x
   Warner ME, 2011, J AM PLANN ASSOC, V77, P155, DOI 10.1080/01944363.2011.567898
   Watts M., 2011, The deepening crisis: Governance challenges after neoliberalism, P67, DOI DOI 10.1080/02508281.2012.11081685
   WEITZMAN ML, 1994, J COMP ECON, V18, P121, DOI 10.1006/jcec.1994.1020
   Weru J, 2004, ENVIRON URBAN, V16, P47, DOI 10.1177/095624780401600105
   Wu FL, 2004, GEOFORUM, V35, P453, DOI 10.1016/j.geoforum.2003.10.001
   Wu FL, 2013, URBAN STUD, V50, P1919, DOI 10.1177/0042098012466600
   Wu YZ, 2016, HABITAT INT, V56, P42, DOI 10.1016/j.habitatint.2016.04.004
   Yntiso Gebre., 2008, Eastern Africa Social Science Research Review, V24, P53, DOI [DOI 10.1353/EAS.0.0001, https://doi.org/10.1353/eas.0.0001]
NR 90
TC 23
Z9 24
U1 6
U2 125
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 JUL
PY 2018
VL 77
BP 1
EP 11
DI 10.1016/j.habitatint.2018.04.006
PG 11
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 GP7UX
UT WOS:000441117200001
DA 2025-04-22
ER

PT J
AU Kuusaana, JAE
   Monstadt, J
   Smith, S
AF Kuusaana, Joyce A. Eledi
   Monstadt, Jochen
   Smith, Shaun
TI Practicing urban resilience to electricity service disruption in Accra,
   Ghana
SO ENERGY RESEARCH & SOCIAL SCIENCE
LA English
DT Article
DE Electricity; Critical infrastructure; Blackouts; Resilience; Practice
   theory; Accra
ID WATER INFRASTRUCTURE; SOCIAL PRACTICE; ENERGY; CONSUMPTION; CITIZENSHIP;
   BLACKOUTS; OUTAGES; CITY
AB Electricity is essential for the functioning of contemporary cities. However, despite its overarching criticality, residents of Southern cities like Accra are challenged by splintered access and limited reliability of electricity services. To maintain access, and creatively maneuver blackout situations, residents in Southern cities employ many alternative socio-technical configurations and adaptive strategies. Using the lenses of urban resilience, vulnerability, and social practice theory, we explore the everyday energy practices of residents and businesses in different settlements across Accra, particularly in response to electricity service disruptions. Here, we interrogate electricity as an enabler of practices as well as the consequences of electricity disruption, and the technologies and adaptive strategies employed to maintain those practices. Our goal is to assess the potential for ensuring urban resilience in the face of electricity blackouts through adaptive energy access and user practices. Empiri-cally, we employ primary data gathered from expert interviews with utility providers and local government officials, neighborhood visits, observations, interviews with urban residents and businesses, and document an-alyses. By examining the everyday energy practices of urban residents, we argue that we can better understand urban/critical infrastructure resilience and the alternative pathways to it. We further contend that the rela-tionship between resilience and practices is predicated on-and necessitated by-systemic socio-economic and socio-spatial inequalities. We therefore advocate for a stronger engagement with electricity user perspectives and everyday energy practices in mainstream resilience and vulnerability discourses related to critical infrastructure disruption.
C1 [Kuusaana, Joyce A. Eledi] Tech Univ Darmstadt, Res Training Grp Crit Infrastruct RTG KRITIS, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
   [Kuusaana, Joyce A. Eledi; Monstadt, Jochen; Smith, Shaun] Univ Utrecht, Dept Human Geog & Spatial Planning, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
   [Kuusaana, Joyce A. Eledi] Tech Univ Darmstadt, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
C3 Technical University of Darmstadt; Utrecht University; Technical
   University of Darmstadt
RP Kuusaana, JAE (corresponding author), Univ Utrecht, Dept Human Geog & Spatial Planning, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.; Kuusaana, JAE (corresponding author), Tech Univ Darmstadt, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
EM eledi@kritis.tu-darmstadt.de; j.monstadt@uu.nl; s.r.smith@uu.nl
RI Monstadt, Jochen/AAE-5440-2022
OI Monstadt, Jochen/0000-0001-9146-1571
FU German Academic Exchange Service (DAAD) [57320205]; PhD scholarship
   within its Graduate School Scholarship Program (GSSP); Department of
   Human Geography and Spatial Planning at Utrecht University; Netherlands
   Organization for Scientific Research (NWO) [W 07.303.107 I 4452]
FX This research was funded within the Research Training Group KRITIS at TU
   Darmstadt (Germany) by the German Academic Exchange Service (DAAD, grant
   no. 57320205) through a PhD scholarship within its Graduate School
   Scholarship Program (GSSP) . Further financial support for the fieldwork
   and publication was provided by the Department of Human Geography and
   Spatial Planning at Utrecht University (Netherlands) and by the
   Netherlands Organization for Scientific Research (NWO) through the
   project Coping with urban and infra-structural heterogeneity:
   sustainable energy transitions in Tanzania and Mozambique (grant no. W
   07.303.107 I 4452) .
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Aidoo K., 2015, Scientific Dumsor report: See which areas enjoy or suffer most
   Aidoo K, 2019, AFR STUD REV, V62, P112, DOI 10.1017/asr.2018.78
   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
   [Anonymous], 2019, Ghana Living Standards Survey (GLSS) 7: Main Report
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Collier StephenJ., 2008, SECURINGTHE HOMELAND, P17
   Coutard Olivier., 2015, Beyond the Networked City: Infrastructure Reconfigurations and Urban Change in the North and South
   Dakyaga F, 2021, URBAN FORUM, V32, P111, DOI 10.1007/s12132-020-09412-6
   De Keijser A, 2014, COPRODUCTION INFORMA, DOI [10.13140/RG.2.2.36316.49284, DOI 10.13140/RG.2.2.36316.49284]
   Driessen PPJ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08921-210453
   Energy Commission of Ghana, 2021, KEY EN STAT HDB, V21
   Energy Commission of Ghana, 2020, National Energy Statistics: 2000 - 2019
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Ghana Statistical Service, 2014, POP HOUS CENS REP
   Ghana Talks Business, 2015, GHANA TALKS BUSINESS
   Ghanem DA, 2018, ENERGY RES SOC SCI, V36, P36, DOI 10.1016/j.erss.2017.11.012
   Ghanem DA, 2016, ENERG POLICY, V92, P171, DOI 10.1016/j.enpol.2016.02.003
   Graham S., 2010, DISRUPTED CITIES INF, V1, DOI [10.4324/9780203894484, DOI 10.4324/9780203894484]
   Hasselqvist H, 2022, ENERGY RES SOC SCI, V88, DOI 10.1016/j.erss.2022.102498
   Heidenstrom N, 2020, ENERGY RES SOC SCI, V66, DOI 10.1016/j.erss.2020.101498
   Heidenstrom N, 2018, J CONTING CRISIS MAN, V26, P272, DOI 10.1111/1468-5973.12191
   Hogselius P., 2013, MAKING EUROPES CRITI, DOI [10.1057/9781137358738, DOI 10.1057/9781137358738]
   Hyysalo S., 2016, The new production of users: changing innovation collectives and involvement strategies
   Jaglin S., 2014, ROUTLEDGE HDB CITIES, V1st, P434, DOI DOI 10.4324/9780203387832.CH37
   Karakara AA, 2021, MANAG ENVIRON QUAL, V32, P804, DOI 10.1108/MEQ-11-2020-0247
   Karakara AAW, 2019, COGENT SOC SCI, V5, DOI 10.1080/23311886.2019.1697499
   Kemausuor F, 2017, WIRES ENERGY ENVIRON, V6, DOI 10.1002/wene.225
   Koepke M, 2021, ENERGY RES SOC SCI, V74, DOI 10.1016/j.erss.2021.101937
   Lawhon M, 2018, URBAN STUD, V55, P720, DOI 10.1177/0042098017720149
   Lemanski C, 2018, ROUT INT HANDB, P350
   McFarlane C, 2010, DISRUPTED CITIES
   McFarlane C, 2017, URBAN GEOGR, V38, P1393, DOI 10.1080/02723638.2016.1243386
   Mensah J.K., 2021, POWERING SLUM M SDG
   Min B, 2019, POLITICAL FAVORITISM, P30
   Munro P, 2020, URBAN GEOGR, V41, P428, DOI 10.1080/02723638.2019.1698867
   Nduhuura P, 2021, ENERGIES, V14, DOI 10.3390/en14123676
   Oudshoorn NEJ., 2003, How Users Matter. The Co-construction of Users and Technology
   Reckwitz A., 2002, European Journal of Social Theory, V5, P243, DOI [DOI 10.1177/13684310222225432, 10.1177/13684310222225432]
   Ricci L., 2012, J. Sustain. Dev., V7, P39
   Sakah M, 2019, SUSTAIN CITIES SOC, V44, P559, DOI 10.1016/j.scs.2018.10.019
   Shove E., 2003, Journal of Consumer Policy, V26, P395, DOI DOI 10.1023/A:1026362829781
   Shove E, 2017, GREEN ENERGY TECHNOL, P207, DOI 10.1007/978-3-319-33753-1_9
   Shove E, 2014, THEOR CULT SOC, V31, P41, DOI 10.1177/0263276414536746
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Silvast A, 2017, ROUT STUD ENER
   Silvast A, 2019, ENERGY DIMENSIONS UR, DOI [10.4324/9780429506666-22, DOI 10.4324/9780429506666-22]
   Silvast A., 2018, ADV ENERGY POLICY LE, P97, DOI [10.1007/978-3-319-99097-2_7, DOI 10.1007/978-3-319-99097-2_7]
   Silvast A, 2021, GEOGR TIDSSKR-DEN, V121, P79, DOI 10.1080/00167223.2020.1851609
   Silver J, 2015, INT J URBAN REGIONAL, V39, P984, DOI 10.1111/1468-2427.12317
   Silver J, 2014, URBAN GEOGR, V35, P788, DOI 10.1080/02723638.2014.933605
   Silvius A.J. G., 2008, Proceedings of the 22nd IPMA World Congress "Project Management to Run", 9 - 11 November 2008, P1
   Smith S, 2023, URBAN GEOGR, V44, P221, DOI 10.1080/02723638.2021.1959769
   The World Bank, 2018, ACC EL POP GHAN
   Trentmann Frank., 2009, Time, consumption and everyday life, P67
   Truelove Y, 2019, ANN AM ASSOC GEOGR, V109, P1758, DOI 10.1080/24694452.2019.1581598
   UK Cabinet Office, 2011, KEEP COUNTR RUNN NAT
   UKERC, 2011, BUILDING RESILIENT U
   United Nation, 2009, UNISDR terminology on disaster risk reduction
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wamuchiru E, 2017, ENVIRON URBAN, V29, P551, DOI 10.1177/0956247817700290
   Wang XF, 2022, ENERGY RES SOC SCI, V85, DOI 10.1016/j.erss.2021.102409
   Warde A, 2017, CONSUM PUBLIC LIFE, P79, DOI 10.1057/978-1-137-55682-0_5
   World Population Review, 2019, ACCR POP 2020 DEM MA
NR 65
TC 8
Z9 9
U1 0
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2214-6296
EI 2214-6326
J9 ENERGY RES SOC SCI
JI Energy Res. Soc. Sci.
PD JAN
PY 2023
VL 95
AR 102885
DI 10.1016/j.erss.2022.102885
EA NOV 2022
PG 11
WC Green & Sustainable Science & Technology; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 6Z4FI
UT WOS:000897734200012
OA hybrid, Green Published
DA 2025-04-22
ER

PT J
AU de Jong, M
   Joss, S
   Schraven, D
   Zhan, CJ
   Weijnen, M
AF de Jong, Martin
   Joss, Simon
   Schraven, Daan
   Zhan, Changjie
   Weijnen, Margot
TI Sustainable-smart-resilient-low carbon-eco-knowledge cities; making
   sense of a multitude of concepts promoting sustainable urbanization
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Sustainable city; Smart city; Eco city; Urban development; Bibliometric
   analysis; Ecological modernization
ID CLIMATE-CHANGE; CITY; PERFORMANCE; STRATEGIES; FRAMEWORK; POLICY; CHINA;
   MODEL
AB Over the last couple of decades, metropolitan areas around the world have been engaged in a multitude of initiatives aimed at upgrading urban infrastructure and services, with a view to creating better environmental, social and economic conditions and enhancing cities' attractiveness and competitiveness. Reflecting these developments, many new categories of 'cities' have entered the policy discourse: 'sustainable cities'; 'green cities'; 'digital cities'; 'smart cities'; intelligent cities'; 'information cities'; 'knowledge cities'; 'resilient cities'; 'eco cities': 'low carbon cities'; 'liveable cities'; and even combinations, such as 'low carbon eco cities' and 'ubiquitous eco cities'. In practice, these terms often appear to be used interchangeably by policy makers, planners and developers. However, the question arises whether these categories nevertheless each embody distinct conceptual perspectives, which would have implications for how they are understood theoretically and applied in policy. In response, this article investigates, through a comprehensive bibliometric analysis, how the twelve most frequent city categories are conceptualised individually and in relation to one another in the academic literature. We hypothesize that, notwithstanding some degree of overlap and cross-fertilization, in their essence the observed categories each harbor particular conceptual perspectives that render them distinctive. This is borne out by the findings, which demonstrate robustly for the first time the conceptual differences and interrelationships among twelve dominant city categories. The 'sustainable city' is the most frequently occurring category and, in a map of keyword co-occurrences, by far the largest and most interconnected node, linked closely to the 'eco city' and 'green city' concepts. Recently, the more narrow concepts of low carbon city' and 'smart city' have been on the rise, judging by their frequency of occurrence in academic journals; the latter in particular appears to have become an increasingly dominant category of urban modernization policy. On their part, 'resilient city' and 'knowledge city' represent distinct concepts, albeit with comparatively low frequency. Overall, the findings point to the need for rigor and nuance in the use of these terms, not least if one wishes to comprehend their implications for urban development and regeneration policy and practice. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [de Jong, Martin; Schraven, Daan; Zhan, Changjie; Weijnen, Margot] Delft Univ Technol, NL-2600 AA Delft, Netherlands.
   [de Jong, Martin] Fudan Univ, Shanghai, Peoples R China.
   [Joss, Simon] Univ Westminster, London W1R 8AL, England.
C3 Delft University of Technology; Fudan University; University of
   Westminster
RP Joss, S (corresponding author), Univ Westminster, London W1R 8AL, England.
EM josss@westminster.ac.uk
RI De Jong, Martin/E-8002-2013
OI Joss, Simon/0000-0003-2856-4695
CR Allwinkle S, 2011, J URBAN TECHNOL, V18, P1, DOI 10.1080/10630732.2011.601103
   [Anonymous], 2001, PANARCHY UNDERSTANDI
   [Anonymous], 2008, KNOWLEDGE CITIES ROL
   [Anonymous], 2003, UK EN WHIT PAP OUR E
   [Anonymous], J KNOWLEDGE MANAGEME
   [Anonymous], 1987, OUR COMMON FUTURE
   [Anonymous], 2008, GERFS31 NIES KYOT U
   Arbonies A. L., 2002, Journal of Knowledge Management, V6, P347, DOI 10.1108/13673270210440857
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Barton H., 2000, HLTHY URBAN PLANNING
   Batagelj V., 2011, PAJEK SOFTWARE
   Besselaar P.V.D., 1998, DEMOGRAPHICS SOCIOGR
   Campbell T., 2012, Beyond Smart Cities: How Cities Network, Learn and Innovate
   Caprotti F, 2014, CITIES, V36, P10, DOI 10.1016/j.cities.2013.08.005
   Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117
   Castello MG, 2011, CITIES, V28, P498, DOI 10.1016/j.cities.2011.08.002
   Chang ICC, 2013, J URBAN TECHNOL, V20, P57, DOI 10.1080/10630732.2012.735104
   [陈飞 CHEN Fei], 2009, [城市规划学刊, Urban Planning Forum], P7
   Civitium Wireless Broadband, 2010, FDN DIG CIT COOKB CO
   Cole RJ, 2012, BUILD RES INF, V40, P95, DOI 10.1080/09613218.2011.616098
   Cole RJ, 2012, BUILD RES INF, V40, P1, DOI 10.1080/09613218.2012.617516
   Crane K., 2012, STRATEGIES BUILDING
   Cugurullo F, 2013, J URBAN TECHNOL, V20, P23, DOI 10.1080/10630732.2012.735105
   Davic RD, 2004, ANNU REV ECOL EVOL S, V35, P405, DOI 10.1146/annurev.ecolsys.35.112202.130116
   de Jong M, 2013, J CLEAN PROD, V57, P209, DOI 10.1016/j.jclepro.2013.06.036
   de Jong M, 2013, J URBAN TECHNOL, V20, P95, DOI 10.1080/10630732.2012.756202
   DEAKIN MARK., 2012, From Intelligent to Smart Cities
   Dekay M., 2001, GREY CITY GREEN CITY
   du Plessis C, 2012, BUILD RES INF, V40, P7, DOI 10.1080/09613218.2012.628548
   Dvir R., 2004, Journal of Knowledge Management, V8, P16, DOI 10.1108/13673270410558756
   Ergazakis K, 2011, KNOWL MAN RES PRACT, V9, P172, DOI 10.1057/kmrp.2011.11
   Fernández-Maldonado AM, 2010, INT J KNOWL-BASED DE, V1, P79, DOI 10.1504/IJKBD.2010.032587
   Florida R., 2005, Cities and the creative class, DOI DOI 10.1016/j.landurbplan.2013.04.009
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Gabel M., REGENERATIVE DEV GOI
   Giffinger R, 2010, ACE-ARCHIT CITY ENVI, V4, P7
   Girardet H., 2013, SUSTAINABILITY IS UN
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gossop C, 2011, CITIES, V28, P495, DOI 10.1016/j.cities.2011.09.003
   Grober U., 2012, Sustainability: A cultural history
   Hajer M., 1996, POLITICS ENV DISCOUR
   Harvey F., 2011, FINANC TIMES    1121
   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
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Joss S., 2011, INT J SUSTAINABLE DE, V6, P268, DOI DOI 10.2495/SDP-V6-N3-268-285
   Joss S, 2013, URBAN RES PRACT, V6, P54, DOI 10.1080/17535069.2012.762216
   Joss S, 2013, J URBAN TECHNOL, V20, P115, DOI 10.1080/10630732.2012.735411
   KAMADA T, 1989, INFORM PROCESS LETT, V31, P7, DOI 10.1016/0020-0190(89)90102-6
   KNIGHT RV, 1995, URBAN STUD, V32, P225, DOI 10.1080/00420989550013068
   Korea Land Corporation, 2005, PLAN UB CIT DEV OP S
   Laurent G., 2013, HIST GEOGRAPHES
   Lee JH, 2013, TECHNOL FORECAST SOC, V80, P286, DOI 10.1016/j.techfore.2012.09.020
   Lehmann S., 2010, Green Urbanism: Formulating a Series of Holistic Principles
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Leydesdorff L, 2011, J URBAN TECHNOL, V18, P53, DOI 10.1080/10630732.2011.601111
   Little R., 2004, J INFRASTRUCT SYST, V10, P52, DOI [10.1061/(ASCE)1076- 0342(2004)10:2(52), DOI 10.1061/(ASCE)1076-0342(2004)10:2(52)]
   Mang P, 2012, BUILD RES INF, V40, P23, DOI 10.1080/09613218.2012.621341
   Meadows D.H., 1999, EARTHSCAN READER SUS
   Mol A.P.J., 2009, ECOLOGICAL MODERNISA
   Mol Arthur., 2001, GLOBALIZATION ENV RE
   Morelli VG, 2013, TEMA, V6, P73, DOI 10.6092/1970-9870/1496
   Newman P., 2008, CITIES SUSTAINABLE E
   Newton Newman P., 2013, LOW CARBON GREEN GRO
   Ni P, 2014, URBAN COMPETITIVENESS AND INNOVATION, P1, DOI 10.4337/9781781007921
   OECD, 2006, OECD TERR REV COMP C
   Outrequin Philippe, 2011, URBANISME DURABLE CO
   Peer V, 2013, J CLEAN PROD, V44, P85, DOI 10.1016/j.jclepro.2012.12.003
   Premalatha M, 2013, RENEW SUST ENERG REV, V25, P660, DOI 10.1016/j.rser.2013.05.011
   Rapoport E, 2014, GEOGR COMPASS, V8, P137, DOI 10.1111/gec3.12113
   Register R., 1973, Ecocity Berkeley: Building Cities for a Healthy Future
   Renauld V., 2012, THESIS
   Robinson J, 2015, BUILD RES INF, V43, P133, DOI 10.1080/09613218.2014.979082
   Rode P., 2011, Cities: investing in energy and resource efficiency
   Rogers Richard., 1998, CITIES SMALL PLANET
   Roseland M, 1997, CITIES, V14, P197, DOI 10.1016/S0264-2751(97)00003-6
   Roy M, 2009, HABITAT INT, V33, P276, DOI 10.1016/j.habitatint.2008.10.022
   Rydin Y., 2010, Governing for sustainable urban development
   Satterthwaite D., 1999, SUSTAINABLE CITIES
   Shiuh-Shen C, 2013, CHINA INFORM, V27, P173, DOI 10.1177/0920203X13485702
   Shwayri ST, 2013, J URBAN TECHNOL, V20, P39, DOI 10.1080/10630732.2012.735409
   Storch H, 2011, CITIES, V28, P517, DOI 10.1016/j.cities.2011.07.002
   UN, 2011, SHANG MAN GUID SUST, P13
   United Nations Environment Program, 2002, MELB PRINC SUST CIT
   Valkering P, 2013, J CLEAN PROD, V49, P85, DOI 10.1016/j.jclepro.2012.09.010
   van den Besselaar P, 2000, LECT NOTES COMPUT SC, V1765, P18
   Van Winden W, 2007, URBAN STUD, V44, P525, DOI 10.1080/00420980601131886
   Viitanen J, 2014, ENVIRON PLANN A, V46, P803, DOI 10.1068/a46242
   Wheeler S., 2009, The sustainable urban development reader
   White R.R., 2002, BUILDING ECOLOGICAL
   Yigitcanlar T, 2008, CITIES, V25, P63, DOI 10.1016/j.cities.2008.01.001
   Yigitcanlar T, 2013, CITIES, V31, P357, DOI 10.1016/j.cities.2012.11.005
NR 92
TC 646
Z9 669
U1 88
U2 1145
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 DEC 16
PY 2015
VL 109
SI SI
BP 25
EP 38
DI 10.1016/j.jclepro.2015.02.004
PG 14
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA CZ9HZ
UT WOS:000367410000003
OA Green Accepted
HC Y
HP N
DA 2025-04-22
ER

PT J
AU Zhang, C
   Li, YF
   Zhu, XD
AF Zhang, Chen
   Li, Yangfan
   Zhu, Xiaodong
TI A Social-Ecological Resilience Assessment and Governance Guide for
   Urbanization Processes in East China
SO SUSTAINABILITY
LA English
DT Article
DE social-ecological resilience; urbanization; assessment; governance;
   Grey-Fuzzy model
ID WATER-QUALITY; BIODIVERSITY; CITY; SUSTAINABILITY; ADAPTABILITY;
   FOUNDATIONS; PATTERNS; IMPACTS; RISK; LAKE
AB This article presents a social-ecological resilience assessment and attempts to explicitly examine the impacts of urbanization on resilience, with a view to explore how to strengthen social-ecological governance of the resilience of urban ecosystems. We use a combined Grey-Fuzzy evaluation model to discuss a case study of the Su-Xi-Chang city cluster, a metropolitan area in East China, in which total social-ecological resilience scores generally exhibited an upward trend, from 0.548 in 2001 to 0.760 in 2013. In the same period, resilience increased in relation to deterioration of environmental quality, pollution discharge, and landscape and ecological governance change, but decreased in relation to social-economic development. Besides, different contributions of indicators to their related resilience values reveal the heterogeneity of the resilience in terms of various disturbances. In addition, several scenarios are posited in an attempt to detect the relationship between social-ecological resilience and urbanization with the goal of improving urban governance. The results suggested that rapid urbanization under rigid and vertically organized forms of governance would cause the social-ecological system to lose resilience, or even to bring it near collapse. When the growth rate of urban land expansion reaches 16%, disturbances caused by urbanization would push the social-ecological system over a particular threshold, where the way it functions changes. However, it is found that adaptive and collaborative governance, incorporating increases in both public participation and the efficiency of environment administration, would strengthen social-ecological governance of resilience to provide the urban system with a wide operating space, and even with accelerated urbanization ratios.
C1 [Zhang, Chen; Zhu, Xiaodong] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210023, Jiangsu, Peoples R China.
   [Li, Yangfan] Xiamen Univ, Coll Environm & Ecol, Minist Educ, Key Lab Coastal & Wetland Ecosyst, Xiamen 361102, Peoples R China.
C3 Nanjing University; Xiamen University
RP Zhu, XD (corresponding author), Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210023, Jiangsu, Peoples R China.
EM zchen_nju@hotmail.com; yangf@xmu.edu.cn; xdzhu@nju.edu.cn
RI Zhang, Xinhua/A-3225-2011; Li, Yangfan/L-6275-2013
FU National Natural Science Foundation of China [41271008, 40976021];
   Research Project of the State Key Laboratory of Pollution Control and
   Resources Reuse; Fundamental Research Funds for the Central Universities
   of China [20720150074]
FX This study was financially supported by the National Natural Science
   Foundation of China Grants (No. 41271008; 40976021), the Research
   Project of the State Key Laboratory of Pollution Control and Resources
   Reuse, and the Fundamental Research Funds for the Central Universities
   of China (No. 20720150074).
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alshehri SA, 2015, NAT HAZARDS, V78, P395, DOI 10.1007/s11069-015-1719-5
   [Anonymous], DESIGNING RESILIENCE
   [Anonymous], REGRESSION ANAL
   [Anonymous], BIOSCIENCE
   [Anonymous], BLUE BOOK CITIES CHI
   [Anonymous], 2013, RETHINKING URBAN LAN
   [Anonymous], LINKING SOCIAL ECOLO
   [Anonymous], STAT WORLDS CIT
   Berkes J., 2003, Navigating social-ecological systems: Building resilience for complexity and change
   Bridges Todd., 2013, Coastal Risk Reduction and Resilience: Using the Full Array of Measures
   Carlson JM, 2000, PHYS REV LETT, V84, P2529, DOI 10.1103/PhysRevLett.84.2529
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chan FTS, 2007, OMEGA-INT J MANAGE S, V35, P417, DOI 10.1016/j.omega.2005.08.004
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Civerolo K, 2007, ATMOS ENVIRON, V41, P1803, DOI 10.1016/j.atmosenv.2006.10.076
   Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016
   Cui EQ, 2015, ENVIRON SCI POLLUT R, V22, P3958, DOI 10.1007/s11356-014-3779-6
   Curtin CG, 2014, CONSERV BIOL, V28, P912, DOI 10.1111/cobi.12321
   De'ath G, 2000, ECOLOGY, V81, P3178, DOI 10.2307/177409
   Economy E, 2006, ENVIRON POLIT, V15, P171, DOI 10.1080/09644010600562310
   Emerson K, 2014, ENVIRON MANAGE, V54, P768, DOI 10.1007/s00267-014-0334-7
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Ferreira AJD, 2013, ENRGY PROCED, V40, P6, DOI 10.1016/j.egypro.2013.08.002
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Fragkias M., 2013, Urbanization, biodiversity and ecosystem services: Challenges and opportunities, P409, DOI [DOI 10.1007/978-94-007-7088-121, 10.1007/978-94-007-7088-121, DOI 10.1007/978-94-007-7088-1_21]
   Graham MH, 2003, ECOLOGY, V84, P2809, DOI 10.1890/02-3114
   Grove J.M., 2009, Principles of Ecosystem Stewardship, P281, DOI DOI 10.1007/978-0-387-73033-213
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hao RX, 2013, J ENVIRON INFORM, V21, P45, DOI 10.3808/jei.201300231
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Iscen CF, 2008, ENVIRON MONIT ASSESS, V144, P269, DOI 10.1007/s10661-007-9989-3
   Lew AA, 2016, TOURISM GEOGR, V18, P18, DOI 10.1080/14616688.2015.1122664
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu HX, 2012, APPL MATH MODEL, V36, P626, DOI 10.1016/j.apm.2011.07.024
   Liu JG, 2007, AMBIO, V36, P639, DOI 10.1579/0044-7447(2007)36[639:CHANS]2.0.CO;2
   Mainali B, 2014, ENERGY SUSTAIN DEV, V19, P15, DOI 10.1016/j.esd.2014.01.008
   Mallupattu PK, 2013, SCI WORLD J, DOI 10.1155/2013/268623
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Mol APJ, 2009, CURR OPIN ENV SUST, V1, P96, DOI 10.1016/j.cosust.2009.07.002
   Otten TG, 2012, ENVIRON SCI TECHNOL, V46, P3480, DOI 10.1021/es2041288
   Ouyang Y, 2005, WATER RES, V39, P2621, DOI 10.1016/j.watres.2005.04.024
   Paerl HW, 2011, WATER RES, V45, P1973, DOI 10.1016/j.watres.2010.09.018
   Park J, 2010, J CLEAN PROD, V18, P1494, DOI 10.1016/j.jclepro.2010.06.001
   Peng J, 2015, LANDSCAPE URBAN PLAN, V143, P56, DOI 10.1016/j.landurbplan.2015.06.007
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Pickett STA, 2011, J ENVIRON MANAGE, V92, P331, DOI 10.1016/j.jenvman.2010.08.022
   Pickett STA, 2014, BUILD RES INF, V42, P143, DOI 10.1080/09613218.2014.850600
   Qiu JN, 2011, NATURE, V471, P19, DOI 10.1038/471019a
   Quinlan A., 2015, Journal of Applied Ecology, P1
   Recatalá L, 2014, ECOL INDIC, V45, P160, DOI 10.1016/j.ecolind.2014.04.010
   Resilience Alliance, 2010, Assessing resilience in social-ecological systems: workbook for practitioners revised version 2.0
   Ryu J, 2011, J ENVIRON MANAGE, V92, P92, DOI 10.1016/j.jenvman.2010.08.020
   Schewenius M, 2014, AMBIO, V43, P434, DOI 10.1007/s13280-014-0505-z
   Serre D., 2012, Resilience and urban risk management
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Turner NJ, 2003, HUM ECOL, V31, P439, DOI 10.1023/A:1025023906459
   Walker B., 2004, Ecology and Society, V9, P5
   Walker B., 2012, RESILIENCE PRACTICE
   Walker BH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05063-170330
   Wheaton E., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P215, DOI DOI 10.1023/A:1009660700150
   Zhai GF, 2015, HUM ECOL RISK ASSESS, V21, P1206, DOI 10.1080/10807039.2014.955385
   Zhang C, 2016, HUM ECOL RISK ASSESS, V22, P283, DOI 10.1080/10807039.2015.1063040
   [张晨 Zhang Chen], 2012, [水土保持通报, Bulletin of Soil and Water Conservation], V32, P271
NR 64
TC 13
Z9 15
U1 12
U2 185
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2016
VL 8
IS 11
AR 1101
DI 10.3390/su8111101
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 EE1BS
UT WOS:000389316200022
OA gold, Green Submitted
DA 2025-04-22
ER

PT J
AU Salata, S
   Velibeyoglu, K
   Baba, A
   Saygin, N
   Couch, VT
   Uzelli, T
AF Salata, Stefano
   Velibeyoglu, Koray
   Baba, Alper
   Saygin, Nicel
   Couch, Virginia Thompson
   Uzelli, Taygun
TI Adapting Cities to Pluvial Flooding: The Case of Izmir (Turkiye)
SO SUSTAINABILITY
LA English
DT Article
DE pluvial flooding; ecosystem services; nature-based solutions; urban
   planning; resilience; vulnerability
ID ECOSYSTEM SERVICES; RESILIENCE; VULNERABILITY; LAND; ADAPTATION;
   DISTRICT; DENSITY; SYSTEMS; RUNOFF; CITY
AB In the coming decades, climate change will be one of the most significant challenges for urban areas. The quantity, duration and intensity of events, such as flash rains and heat waves, will increase the vulnerability of urban regions while exposing citizens to potentially dangerous conditions. According to the current literature, mainstreaming resilience in urban planning means designing rules that strengthen urban systems' adaptive and self-regulating functions by reducing their vulnerability. In this work, we aimed to build knowledge for the application of the sponge district concept to Izmir (Turkiye), one of Europe's most vulnerable areas to pluvial flooding. To do this, we first analyzed the runoff in each urban sub-watershed, then employed a composite index to determine potential areas of intervention for nature-based solutions. Results show that 10% of Izmir's urban areas are extremely vulnerable to cloudbursts, which means that 40% of the urban population is exposed to this phenomenon. Moreover, the runoff calculation in the sub-watershed demonstrated that the potential flood volume is underestimated, especially in the upslope areas. The results can be used as a template to suggest a stepwise approach to mainstream the resilience of densely-inhabited coastal urban catchments.
C1 [Salata, Stefano] Politecn Milan, Dept Architecture & Urban Studies, Lab PPTE, I-20133 Milan, Italy.
   [Velibeyoglu, Koray; Saygin, Nicel] Izmir Inst Technol, Fac Architecture, Dept City & Reg Planning, Gulbahce Campus Urla, TR-35430 Izmir, Turkey.
   [Baba, Alper] Izmir Inst Technol, Civil Engn Fac, Dept Int Water Resources, Gulbahce Campus Urla, TR-35430 Izmir, Turkey.
   [Couch, Virginia Thompson] Izmir Inst Technol, Fac Architecture, Dept Architecture, Gulbahce Campus Urla, TR-35430 Izmir, Turkey.
   [Uzelli, Taygun] Izmir Inst Technol, Geothermal Energy Res & Applicat Ctr, TR-35430 Izmir, Turkey.
C3 Polytechnic University of Milan; Izmir Institute of Technology; Izmir
   Institute of Technology; Izmir Institute of Technology; Izmir Institute
   of Technology
RP Salata, S (corresponding author), Politecn Milan, Dept Architecture & Urban Studies, Lab PPTE, I-20133 Milan, Italy.
EM stefano.salata@polimi.it
RI UZELLI, TAYGUN/ABI-4039-2020; BABA, ALPER/AAG-6148-2020; Salata,
   Stefano/B-9186-2018
OI UZELLI, TAYGUN/0000-0003-0846-5921; Couch, Virginia/0000-0002-9092-157X;
   BABA, ALPER/0000-0001-5307-3156; Salata, Stefano/0000-0001-9342-9241
CR AbdelRahman MAE, 2016, EGYPT J REMOTE SENS, V19, P95, DOI 10.1016/j.ejrs.2015.12.002
   Abdrabo K.I., 2020, WADI FLASH FLOODS, P1, DOI [10.13140/RG.2.2.31397.12000, DOI 10.13140/RG.2.2.31397.12000]
   Allen CR, 2016, J APPL ECOL, V53, P625, DOI 10.1111/1365-2664.12634
   Allen CR, 2014, ECOSYSTEMS, V17, P578, DOI 10.1007/s10021-013-9744-2
   Armson D, 2013, URBAN FOR URBAN GREE, V12, P282, DOI 10.1016/j.ufug.2013.04.001
   Atak BK, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08357-4
   Barbosa B, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12052294
   Beven K., 2012, THE SUDS MANUAL
   Carvacho OF, 2004, GEOMORPHOLOGY, V59, P75, DOI 10.1016/j.geomorph.2003.09.007
   Chelleri L, 2012, DOC ANAL GEOGR, V58, P287
   Congedo L, 2016, J MAPS, V12, P1195, DOI 10.1080/17445647.2016.1145151
   Doost DM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114443
   Du SQ, 2019, SUSTAIN CITIES SOC, V44, P774, DOI 10.1016/j.scs.2018.11.003
   Feranec J, 2010, APPL GEOGR, V30, P19, DOI 10.1016/j.apgeog.2009.07.003
   Fritz M, 2017, THEOR PRACT URB SUST, P123, DOI 10.1007/978-3-319-56091-5_8
   Fuchs S, 2019, J HYDROL, V575, P587, DOI 10.1016/j.jhydrol.2019.05.067
   Giampieri M.A., 2020, UNDERSTANDING DISAST, P37, DOI [10.1016/b978-0-12-819047-0.00004-4, DOI 10.1016/B978-0-12-819047-0.00004-4]
   Golz S, 2015, URBAN WATER J, V12, P30, DOI 10.1080/1573062X.2014.939090
   Gret-Regamey A, 2017, LANDSCAPE URBAN PLAN, V165, P206, DOI 10.1016/j.landurbplan.2016.05.003
   Griffel LM, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108617
   Grilo F, 2020, SCI TOTAL ENVIRON, V724, DOI 10.1016/j.scitotenv.2020.138182
   Guerreiro CBB, 2014, ATMOS ENVIRON, V98, P376, DOI 10.1016/j.atmosenv.2014.09.017
   Hepcan CC, 2013, ENVIRON MONIT ASSESS, V185, P143, DOI 10.1007/s10661-012-2539-7
   Huck A, 2020, GEOFORUM, V117, P194, DOI 10.1016/j.geoforum.2020.10.001
   IZSU, 2020, IZM IL METR AL AT YA
   Jeffery S., 2010, EUROPEAN ATLAS SOIL
   Kabisch N, 2013, LANDSCAPE URBAN PLAN, V110, P113, DOI 10.1016/j.landurbplan.2012.10.017
   Kaly U., 2004, 384 UNEP
   Kim Y, 2022, CURR OPIN ENV SUST, V54, DOI 10.1016/j.cosust.2022.101153
   .klimatilpasning.dk, 2012, CITY COPENHAGEN CLOU
   Langemeyer J, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.135487
   Langemeyer J, 2016, ENVIRON SCI POLICY, V62, P45, DOI 10.1016/j.envsci.2016.02.013
   Leal M, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101806
   Li Y, 2018, J HYDROL, V558, P659, DOI 10.1016/j.jhydrol.2018.02.007
   Maragno D, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031334
   McPhearson T, 2022, ONE EARTH, V5, P505, DOI 10.1016/j.oneear.2022.04.007
   Meisner C., 2015, SEEJPH, P7, DOI [DOI 10.12908/SEEJPH-2014-45, 10.12908/SEEJPH-2014-45]
   Mitchell J.K., 1999, GEOJOURNAL, V49, P137, DOI DOI 10.1023/A:1007024703844
   Morabito M, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10010026
   Münch Z, 2019, LAND-BASEL, V8, DOI 10.3390/land8020033
   Muñoz-Carpena R, 2007, T ASABE, V50, P1719, DOI 10.13031/2013.23967
   Nelson E., INVEST 2 0 BETA USER
   Nin M, 2016, ECOSYST SERV, V17, P172, DOI 10.1016/j.ecoser.2015.12.009
   Nuhoglu A, 2021, INT J DISAST RISK RE, V63, DOI 10.1016/j.ijdrr.2021.102465
   Pappalardo V, 2017, ECOSYST SERV, V26, P345, DOI 10.1016/j.ecoser.2017.04.015
   Pelling M, 2011, ECOL SOC, V16
   Peng J, 2010, ECOL INDIC, V10, P217, DOI 10.1016/j.ecolind.2009.04.017
   Pistocchi A, 2015, J HYDROL-REG STUD, V4, P398, DOI 10.1016/j.ejrh.2015.06.021
   Qi YF, 2020, WATER-SUI, V12, DOI 10.3390/w12102788
   Quagliolo C, 2022, URBAN SCI, V6, DOI 10.3390/urbansci6030053
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Rehan BM, 2018, J HYDROL, V563, P863, DOI 10.1016/j.jhydrol.2018.06.061
   Rosenzweig B, 2019, ENVIRON SCI POLICY, V99, P150, DOI 10.1016/j.envsci.2019.05.020
   Salata S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14063420
   Salata S, 2022, URBAN SCI, V6, DOI 10.3390/urbansci6010019
   Salata S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105697
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Silva E. A., 2002, Computers, Environment and Urban Systems, V26, P525, DOI 10.1016/S0198-9715(01)00014-X
   Sjöman JD, 2014, URBAN FOR URBAN GREE, V13, P304, DOI 10.1016/j.ufug.2013.10.007
   Tanda G, 2019, J PHYS CONF SER, V1224, DOI 10.1088/1742-6596/1224/1/012034
   Terryn E, 2016, EUR PLAN STUD, V24, P1079, DOI 10.1080/09654313.2016.1154019
   TMMOB Sehir Plancilari Odasi, 2019, IZM MAN PLANL BOLG 1
   UNFCCC/LDC ExpErt Group, 2012, NAT AD PLANS TECHN G, P1
   USDAUnited States Department of Agriculture, 1989, HYDR TRAIN SER MOD 1
   Uzel B, 2012, TURK J EARTH SCI, V21, P439, DOI 10.3906/yer-0910-1
   Vanderhaegen S, 2015, LANDSCAPE URBAN PLAN, V133, P133, DOI 10.1016/j.landurbplan.2014.09.016
   Velibeyoglu K, 2016, J ENVIRON PROT ECOL, V17, P666
   Velibeyoglu K., 2014, 'Urla-Cesme-Karaburun' Peninsula Sustainable Development Strategy 2014-2023
   Venter ZS, 2021, ECOSYST SERV, V50, DOI 10.1016/j.ecoser.2021.101314
   Wang C, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101139
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   Wuebbelmann T, 2022, ONE ECOSYSTEM, V7, DOI 10.3897/oneeco.7.e87458
   Xu C, 2020, J CLEAN PROD, V262, DOI 10.1016/j.jclepro.2020.121421
   Zmir Buyuksehir Belediyesi Izmir'in, ZMIR BUYUKSEHIR BELE
NR 75
TC 9
Z9 9
U1 7
U2 40
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2022
VL 14
IS 24
AR 16418
DI 10.3390/su142416418
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 7G8TQ
UT WOS:000902789600001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Simmie, J
   Martin, R
AF Simmie, James
   Martin, Ron
TI The economic resilience of regions: towards an evolutionary approach
SO CAMBRIDGE JOURNAL OF REGIONS ECONOMY AND SOCIETY
LA English
DT Article
DE regional economic resilience; evolutionary theory; panarchy; adaptive
   cycles
ID COMPLEXITY
AB In this paper, we review the different definitions of resilience and their potential application in explaining the long-term development of urban and regional economies. We reject equilibrist versions of resilience and argue instead that we should seek an understanding of the concept from an evolutionary perspective. After discussing a number of such perspectives, we focus on the adaptive cycle model from panarchy theory to generate testable hypotheses concerning urban and regional resilience. Two case study city-regional economies are used to explore this model. We conclude that the evolutionary adaptive cycle model, though not without problems, warrants further study as a framework for analysing regional economic resilience.
C1 [Simmie, James] Oxford Brookes Univ, Sch Built Environm, Oxford OX3 0BP, England.
   [Martin, Ron] Univ Cambridge, Dept Geog, Cambridge CB2 3EN, England.
C3 Oxford Brookes University; University of Cambridge
RP Simmie, J (corresponding author), Oxford Brookes Univ, Sch Built Environm, Oxford OX3 0BP, England.
EM jsimmie@brookes.ac.uk; rlm1@cam.ac.uk
RI Martin, Ronald/JPW-9668-2023
CR [Anonymous], 2005, RESILIENT CITY
   [Anonymous], RESILIENCE REG UNPUB
   [Anonymous], 2008, Working paper
   [Anonymous], S 20 YEARS PATH DEP
   [Anonymous], 2008, 200807 U CAL I URB R
   [Anonymous], CONCEPTUALIZIN UNPUB
   [Anonymous], 1981, PHILOEVOLUTION
   Brezis EliseS., 1997, J ECON GROWTH, V2, P369, DOI DOI 10.1023/A:1009754704364
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   David PaulA., 2005, EVOLUTIONARY FDN EC, P151, DOI DOI 10.1017/CBO9780511492297.006
   Foster K.A., 2007, A case study approachto understanding regional resilience
   Hanley N., 1998, Environment and Development Economics, V3, P244
   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
   Martin R. L., 2010, ANN M ASS AM GEOGRAP, P1
   Martin R, 2007, J ECON GEOGR, V7, P573, DOI 10.1093/jeg/lbm019
   Martin R, 2006, J ECON GEOGR, V6, P395, DOI 10.1093/jeg/lbl012
   Maskell P, 2007, J ECON GEOGR, V7, P603, DOI 10.1093/jeg/lbm020
   McGlade J, 2006, COMPLEXITY AND CO-EVOLUTION: CONTINUITY AND CHANGE IN SOCIO-ECONOMIC SYSTEMS, P147
   Ormerod P., 2008, APPL ECON LETT, P1
   Peterson G, 2000, ECOL ECON, V35, P323, DOI 10.1016/S0921-8009(00)00217-2
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Ramlogan R, 2006, COMPLEXITY AND CO-EVOLUTION: CONTINUITY AND CHANGE IN SOCIO-ECONOMIC SYSTEMS, P115
   Rose A, 2005, J REGIONAL SCI, V45, P75, DOI 10.1111/j.0022-4146.2005.00365.x
   Setterfield M, 1997, J POST KEYNESIAN EC, V20, P47, DOI 10.1080/01603477.1997.11490138
   Simmie J., 2008, History Matters: Path Dependence and Innovation in British City-regions
   Stehr SD, 2006, URBAN AFF REV, V41, P492, DOI 10.1177/1078087405284887
NR 27
TC 937
Z9 1073
U1 72
U2 670
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 MAR
PY 2010
VL 3
IS 1
BP 27
EP 43
DI 10.1093/cjres/rsp029
PG 17
WC Development Studies; Economics; Geography
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics; Geography
GA 784JQ
UT WOS:000292153800003
OA Bronze
DA 2025-04-22
ER

PT J
AU Cobbinah, PB
   Gaisie, E
   Oppong-Yeboah, NY
   Anim, DO
AF Cobbinah, Patrick Brandful
   Gaisie, Eric
   Oppong-Yeboah, Nana Yaw
   Anim, Desmond Ofosu
TI Kumasi: Towards a sustainable and resilient cityscape
SO CITIES
LA English
DT Article
DE Ghana; Urban planning; Sustainable development; Land tenure; Urban
   politics
ID LAND-USE; URBAN-DEVELOPMENT; GHANA; CITY; INFRASTRUCTURE; URBANIZATION;
   ALLOCATION; CITIES
AB Kumasi is the administrative capital of the Ashanti Region of, and the second largest city in, Ghana. The city also remains the seat of the traditional Asante Kingdom with its establishment around the late 17th century. It was given the accolade the 'Garden City of West Africa' in the 1940s due to its greenery cityscape. Over the years, Kumasi's development and morphological trajectories have been dictated by its formidable traditional and cultural ties as well as socio-political antecedents shaped by mainstream political and traditional systems. Presently, the city is faced with rapid urban growth characterised by urban blight, contradictions in governance regimes, distortions in planning systems, and deteriorating infrastructure and services. This paper profiles Kumasi within the context of its demographic characteristics, spatial transformation and governance dynamics, while highlighting the implications of the city's growth patterns for sustainable and resilient futures. The key issue is whether city planning authority's initiatives over the years can contribute to the attainment of the sustainable development goals, particularly goal 11.
C1 [Cobbinah, Patrick Brandful; Gaisie, Eric; Oppong-Yeboah, Nana Yaw] Univ Melbourne, Fac Architecture Bldg & Planning, Parkville, Vic 3010, Australia.
   [Anim, Desmond Ofosu] Monash Univ, Cooperat Res Ctr Water Sensit Cities, Clayton, Vic 3800, Australia.
C3 University of Melbourne; Cooperative Research Centre for Water Sensitive
   Cities (CRCWSC); Monash University
RP Gaisie, E (corresponding author), Univ Melbourne, Fac Architecture Bldg & Planning, Parkville, Vic 3010, Australia.
EM patrick.cobbinah@unimelb.edu.au; eric.gaisie@unimelb.edu.au;
   n.oppongyeboah@student.unimelb.edu.au; desofosa@gmail.com
RI Cobbinah, Patrick/ABH-9950-2020; Gaisie, Eric/AAV-9152-2020; Anim,
   Desmond/Q-2605-2018
OI Anim, Desmond/0000-0003-4352-9011; OPPONG-YEBOAH, NANA
   YAW/0000-0002-7571-9592; Gaisie, Eric/0000-0002-0816-4048
FU University of Melbourne through the Australian Government Research
   Training Programme (RTP); University of Melbourne through Melbourne
   Research scholarships
FX We acknowledge the University of Melbourne for funding support through
   the Australian Government Research Training Programme (RTP) and
   Melbourne Research scholarships. Special thanks to Abena Asare-Ansah for
   her help in processing satellite images and Mr. Joseph Agaliga for
   providing some of the photo images used in this work.
CR Abubakar IR, 2014, CITIES, V41, P81, DOI 10.1016/j.cities.2014.05.008
   Agyemang FSK, 2019, HABITAT INT, V85, P21, DOI 10.1016/j.habitatint.2019.02.001
   Agyemang FSK, 2018, GEOJOURNAL, V83, P1317, DOI 10.1007/s10708-017-9837-0
   Akaabre PB, 2018, CITIES, V83, P34, DOI 10.1016/j.cities.2018.06.006
   Amoako C., 2011, Journal of Sustainable Development in Africa, V13
   Amoako C, 2019, AFR GEOGR REV, V38, P310, DOI 10.1080/19376812.2018.1436076
   Amoako C, 2014, J TRANSP SAF SECUR, V6, P235, DOI 10.1080/19439962.2013.861887
   Amoako Clifford., 2011, Future of the Tree - towards Growth Development of Kumasi, P35
   Amoateng Paul., 2013, J. Urban Environ. Eng, V7, P96, DOI [10.4090/juee.2013.v7n1.096109, DOI 10.4090/JUEE.2013.V7N1.096109]
   Ankamah SS, 2013, LEX LOCALIS, V11, P431, DOI 10.4335/11.3.431-451(2013)
   [Anonymous], KUMASI GHANA CRITICA
   [Anonymous], 2012, NAT URB POL FRAM
   [Anonymous], A presentation of SPAN-Lessons Learned from an eleven years of FMIS Implementation in Indonesia
   [Anonymous], 2013, Authors calculation using data of Census 2000 and 2010
   [Anonymous], KUMASI GHANA POPULAT
   [Anonymous], FUTURE TREE GROWTH D
   [Anonymous], POP DAT AN REP POL I
   [Anonymous], ASH REG SPAT DEV FRA
   [Anonymous], STUD COMPR URB DEV P
   [Anonymous], 2013, 2010 POPULATION HOUS
   [Anonymous], 2010, MCI SOC SECT WORK PA
   [Anonymous], ASH REG SPAT DEV FRA
   ASABERE PK, 1981, J REGIONAL SCI, V21, P529, DOI 10.1111/j.1467-9787.1981.tb00723.x
   Ban K.M, 2016, NEWS SURVEY, V37, P18
   Boamah F, 2014, REV AFR POLIT ECON, V41, P406, DOI 10.1080/03056244.2014.901947
   Boamah NA, 2012, HABITAT INT, V36, P136, DOI 10.1016/j.habitatint.2011.06.010
   Boateng KS, 2019, J ENVIRON PUBLIC HEA, V2019, DOI 10.1155/2019/5468381
   Cobbinah P.B., 2012, INT J SOCIAL HUMAN S, V6, pe397
   Cobbinah PB, 2019, GEOFORUM, V101, P49, DOI 10.1016/j.geoforum.2019.02.023
   Cobbinah PB, 2017, LAND USE POLICY, V68, P222, DOI 10.1016/j.landusepol.2017.07.050
   Cobbinah PB, 2016, INT J URBAN SUSTAIN, V8, P93, DOI 10.1080/19463138.2015.1074581
   Cobbinah PB, 2016, ADV ELECT GOV DIVIDE, P231, DOI 10.4018/978-1-5225-0187-9.ch012
   Cobbinah PB, 2017, GEOJOURNAL, V82, P1229, DOI 10.1007/s10708-016-9750-y
   Cobbinah PB, 2017, LAND USE POLICY, V61, P231, DOI 10.1016/j.landusepol.2016.10.047
   Cobbinah PB, 2017, CITIES, V60, P388, DOI 10.1016/j.cities.2016.10.011
   Cobbinah PB, 2015, HABITAT INT, V50, P120, DOI 10.1016/j.habitatint.2015.08.002
   Fuseini I, 2015, LAND USE POLICY, V47, P309, DOI 10.1016/j.landusepol.2015.04.020
   Gaisie E, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102398
   Gaisie E, 2018, INT PLAN STUD, V23, P391, DOI 10.1080/13563475.2018.1513359
   Ghana Statistical Service The Integrated Business Establishment (GSS IBES GSS), 2016, Survey report
   GSS, 2014, 2010 Population and housing census report: District analytical report
   GSS, 2019, REB 2013 2018 ANN GR, V2019
   Kasanga K., 2001, Land Management in Ghana: Building on Tradition and Modernity
   Korah PI, 2017, GEOJOURNAL, V82, P1195, DOI 10.1007/s10708-016-9746-7
   Korah PI, 2017, GEOJOURNAL, V82, P1113, DOI 10.1007/s10708-016-9731-1
   KORBOE D, 1995, CITIES, V12, P267, DOI 10.1016/0264-2751(95)00051-M
   Korea S., 2022, Population and Housing Census General Report
   Kuusaana ED, 2015, LAND USE POLICY, V48, P454, DOI 10.1016/j.landusepol.2015.06.030
   Mabogunje A.L., 1990, African Studies Review, V33, P121, DOI [10.2307/524471, DOI 10.2307/524471]
   Mireku KO, 2016, LAND USE POLICY, V50, P148, DOI 10.1016/j.landusepol.2015.09.015
   Nero BF, 2017, INT J REMOTE SENS, V38, P6993, DOI 10.1080/01431161.2017.1370152
   Oduro C.Y., 2014, J SUSTAINABLE DEV, V7, P13, DOI [https://doi.org/10.5539/jsd.v7n5p13, DOI 10.5539/JSD.V7N5P13]
   Owusu-Ansah JK, 2016, GEOJOURNAL, V81, P555, DOI 10.1007/s10708-015-9636-4
   Owusu-Sekyere E, 2016, DEV PRACT, V26, P906, DOI 10.1080/09614524.2016.1210088
   Quarcoopome S.S., 1993, Research Review, V9, P20
   Siiba A, 2018, CITIES, V73, P96, DOI 10.1016/j.cities.2017.10.015
   TEAM Engineering, 2013, PROV ENG CONS SERV P
   Yeboah E, 2013, INT DEV PLANN REV, V35, P21, DOI 10.3828/idpr.2013.3
NR 58
TC 23
Z9 23
U1 1
U2 26
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 2020
VL 97
AR 102567
DI 10.1016/j.cities.2019.102567
PG 16
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA KG6TM
UT WOS:000510082600034
DA 2025-04-22
ER

PT J
AU Li, B
   Li, XY
   Liu, CH
AF Li, Bo
   Li, Xinyuan
   Liu, Chenghao
TI Dynamic Evolution of the Ecological Resilience and Response under the
   Context of Carbon Neutrality
SO ECOSYSTEM HEALTH AND SUSTAINABILITY
LA English
DT Article
ID ECOSYSTEM SERVICES; ORGANIC-CARBON; LANDSCAPE; CHINA; AREA; SOIL
AB Among the background of rapid urbanization and climate change, the capacity of urban ecosystems to recover from disturbances has been considerably disrupted. However, the existing study often lacks dynamic assessments in terms of the response process underlying ecological resilience. Here we use the "resistance, adaptability, and recovery" framework to quantify the ecological resilience, and the dynamic response of ecological resilience to carbon storage and emissions was investigated. The results showed that (a) the ecological resilience of Dalian demonstrated a trend of continuous decline from 2005 to 2019; (b) the clustering characteristics of cold/hot spots for ecological resilience in Dalian were obvious. The cold spots of ecological resilience agglomerated into larger cold spots area during the study. The new patches were mainly located in the southern of Jinzhou and the downtown area of Dalian; (c) carbon storage had a clear positive impact on urban ecological resilience, and this impact showed an increasing trend. In contrast, carbon emissions had a clear negative impact on urban ecological resilience. The piecewise linear regression results reveal that the impact of carbon emission on ecological resilience had a threshold effect, and the area above the threshold became the key area for ecological resilience management; (d) according to the development trend and response conclusion of ecological resilience, the study area was divided into areas of low ecological resilience emission reduction, high ecological resilience carbon storage, and ecological resilience stability protection zone. The present study provides spatial guidance for investigating the evolution and response process of ecological resilience.
C1 [Li, Bo; Li, Xinyuan] Liaoning Normal Univ, Ctr Studies Marine Econ & Sustainable Dev, Dalian 116029, Peoples R China.
   [Li, Bo; Li, Xinyuan] Liaoning Normal Univ, Inst Marine Sustainable Dev, Dalian 116029, Peoples R China.
   [Li, Xinyuan] Liaoning Normal Univ, Sch Geog Sci, Dalian 116029, Peoples R China.
   [Liu, Chenghao] Nanchang Univ, Sch Econ & Management, Nanchang 330031, Peoples R China.
C3 Liaoning Normal University; Liaoning Normal University; Liaoning Normal
   University; Nanchang University
RP Li, XY (corresponding author), Liaoning Normal Univ, Ctr Studies Marine Econ & Sustainable Dev, Dalian 116029, Peoples R China.; Li, XY (corresponding author), Liaoning Normal Univ, Inst Marine Sustainable Dev, Dalian 116029, Peoples R China.; Li, XY (corresponding author), Liaoning Normal Univ, Sch Geog Sci, Dalian 116029, Peoples R China.
EM lxy18842637950@163.com
RI Liu, Chenghao/IZP-7705-2023
OI Liu, Chenghao/0000-0001-8395-4632
FU National Natural Science Foundation of China [41976207]; Basic
   Scientific Research Project of Education Department of Liaoning Province
   [LJKQZ2021090]; Dalian Science and Technology Innovation Think Tank
   project [DLKX2022B04]
FX Acknowledgments We would like to thank Changsha Shiyu Translation
   Service for English language editing services. Funding: This work was
   supported by the National Natural Science Foundation of China (41976207)
   , Basic Scientific Research Project of Education Department of Liaoning
   Province (LJKQZ2021090) , and Dalian Science and Technology Innovation
   Think Tank project (DLKX2022B04) . Author contributions: B.L. con-ceived
   the idea. X.L. analyzed and wrote the first draft of the paper. C.L. was
   responsible for the data collection. Competing interests: The authors
   declare that they have no competing interests.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alam SA, 2013, J ARID ENVIRON, V89, P67, DOI 10.1016/j.jaridenv.2012.10.002
   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
   Benez-Secanho FJ, 2019, ENVIRONMENTS, V6, DOI 10.3390/environments6050052
   Chen TQ, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.134687
   Duo LH, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.902444
   Fang JY, 2007, SCI CHINA SER D, V50, P1341, DOI 10.1007/s11430-007-0049-1
   Fussmann KE, 2014, NAT CLIM CHANGE, V4, P206, DOI [10.1038/NCLIMATE2134, 10.1038/nclimate2134]
   Giardina CP, 2000, NATURE, V404, P858, DOI 10.1038/35009076
   Graziano P, 2016, SCI TOTAL ENVIRON, V553, P211, DOI 10.1016/j.scitotenv.2016.02.051
   Hall CM, 2023, INT J CONTEMP HOSP M, V35, P347, DOI 10.1108/IJCHM-11-2021-1428
   Han ZL, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109142
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong WY, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104057
   Jiang BH, 2023, ECOL INDIC, V149, DOI 10.1016/j.ecolind.2023.110161
   Jiao ZZ, 2023, ECOL INDIC, V150, DOI 10.1016/j.ecolind.2023.110203
   Li F, 2016, ECOL INDIC, V61, P328, DOI 10.1016/j.ecolind.2015.09.033
   Li T, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.138113
   Liang XL, 2023, ECOL ENG, V189, DOI 10.1016/j.ecoleng.2023.106914
   Liu CX, 2019, APPL GEOGR, V105, P1, DOI 10.1016/j.apgeog.2019.02.009
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   Magney TS, 2016, AGR FOREST METEOROL, V217, P46, DOI 10.1016/j.agrformet.2015.11.009
   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
   Midha N, 2010, J INDIAN SOC REMOTE, V38, P487, DOI 10.1007/s12524-010-0034-6
   Peng J, 2017, SCI TOTAL ENVIRON, V607, P706, DOI 10.1016/j.scitotenv.2017.06.218
   Raj A, 2023, ECOL MODEL, V478, DOI 10.1016/j.ecolmodel.2023.110283
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11060921
   Spears BM, 2015, J APPL ECOL, V52, P1311, DOI 10.1111/1365-2664.12497
   Viñals E, 2023, SCI TOTAL ENVIRON, V869, DOI 10.1016/j.scitotenv.2023.161763
   Wang H, 2016, ECOL ENG, V87, P224, DOI 10.1016/j.ecoleng.2015.11.027
   Wang Y, 2021, TECHNOL FORECAST SOC, V166, DOI 10.1016/j.techfore.2021.120578
   Wang YC, 2019, ECOL INDIC, V104, P659, DOI 10.1016/j.ecolind.2019.05.045
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Wu JS, 2013, ECOL INDIC, V29, P529, DOI 10.1016/j.ecolind.2013.01.037
   Xiao W, 2020, ECOL INDIC, V109, DOI 10.1016/j.ecolind.2019.105843
   [谢高地 Xie Gaodi], 2015, [自然资源学报, Journal of Natural Resources], V30, P1243
   Xu P, 2022, SCI PROGRAMMING-NETH, V2022, DOI 10.1155/2022/6012998
   Yan XL, 2023, ENVIRON SCI POLLUT R, V30, P63464, DOI 10.1007/s11356-023-26704-z
   Yan XL, 2023, SCI TOTAL ENVIRON, V872, DOI 10.1016/j.scitotenv.2023.162162
   Yan XL, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191811766
   Yi F, 2023, ECOL INDIC, V149, DOI 10.1016/j.ecolind.2023.110139
   Zhang Q, 2022, ECOL INDIC, V144, DOI 10.1016/j.ecolind.2022.109554
   Zhang Shuo, 2021, Arabian Journal of Geosciences, V14, DOI 10.1007/s12517-021-07795-9
   Zhang YY, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106862
   Zhang Y, 2020, PHYS CHEM EARTH, V120, DOI 10.1016/j.pce.2020.102894
   Zhao MM, 2019, ECOL INDIC, V98, P29, DOI 10.1016/j.ecolind.2018.10.052
   Zhou JJ, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106803
   Zhu LY, 2022, ECOL INDIC, V142, DOI 10.1016/j.ecolind.2022.109178
NR 50
TC 7
Z9 7
U1 51
U2 193
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 SEP 13
PY 2023
VL 9
AR 0130
DI 10.34133/ehs.0130
PG 14
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA Y6SB8
UT WOS:001106527400002
OA gold
DA 2025-04-22
ER

PT J
AU Marques, AL
   Alvim, ATB
AF Marques, Andresa Ledo
   Alvim, Angelica Tanus Benatti
TI Metropolitan fringes as strategic areas for urban resilience and
   sustainable transitions: Insights from Barcelona Metropolitan Area
SO CITIES
LA English
DT Article
DE Metropolitan fringes; Urban resilience; Metropolitan resilience;
   Metropolitan planning; Multi-scale planning; Barcelona Metropolitan Area
AB In an urbanized world, the challenges posed by climate change need to be met through innovative planning for cities and regions. Urban resilience demands that cities adopt new models centered on carbon neutrality, ecosystem services and biodiversity enhancement, circularity, and social inclusion. In light of the multiple interdependencies of metropolitan systems and the natural and territorial potentialities present on their fringes, this paper discusses the metropolitan fringes as strategic for urban resilience and sustainable transitions. By combining a mixed-method analysis of adaptation and urban plans with semi-structured interviews performed with key technicians, the analysis is focused on an inter-municipal fringe zone within the Barcelona Metropolitan Area - the Bes`os territory. Aiming to contribute to the discussions related to Territorial innovation for cities and regions, the paper offers a multi-scale perspective and illustrates innovative urban transformation strategies across scales. The results highlight that governance and multiple planning and participation instances together with technical and financial support are essential for consensus building in an incremental process. Furthermore, the planning strategies of the case study sought to integrate and enhance the green and blue infrastructures and transform consolidated urban areas with a focus on energy transition, sustainable mobility, circularity, and social inclusion. In conclusion, it is argued that resilience has a multi-scalar perspective within the metropolitan context and should be integrated with planning policies at different scales from a coordinated vision. Although adaptation and urban projects have a critical local element, a broader and more strategic vision is necessary, especially in metropolitan fringe areas.
C1 [Marques, Andresa Ledo; Alvim, Angelica Tanus Benatti] Prebiteriana Mackenzie Univ, Sch Architecture & Urbanism, Grad Program Architecture & Urbanism, Sao Paulo, Brazil.
   [Marques, Andresa Ledo] Leibniz Univ Hannover, Inst Urban Design & Planning, Hannover, Germany.
   [Marques, Andresa Ledo] Rua Consolacao,930 Bldg 9, BR-01302907 Sao Paulo, SP, Brazil.
C3 Leibniz University Hannover
RP Marques, AL (corresponding author), Rua Consolacao,930 Bldg 9, BR-01302907 Sao Paulo, SP, Brazil.
EM andresa.ledo@staedtebau.uni-hannover.de; angelica.alvim@mackenzie.br
RI Tanus Benatti Alvim, Angelica/GWM-4848-2022
OI Tanus Benatti Alvim, Angelica/0000-0001-7538-2136; Ledo Marques,
   Andresa/0000-0002-3115-8412
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brasil
   (CAPES) [001]; Programa de Excelencia Academica-and Deutscher
   Akademischer Austauschdienst (DAAD)
FX This study was financed in part by the Coordenacao de Aperfeicoamento de
   Pessoal de Nivel Superior-Brasil (CAPES) -Finance Code 001 and Programa
   de Excelencia Academica-and Deutscher Akademischer Austauschdienst
   (DAAD) .
CR Ajuntament de Barcelona, 2021, La nova fabrica Mercedes-Benz sera un gran espai d'activitat economica que connectara els barris de Sant Andreu
   [Anonymous], 2019, Completando a figura: Como a economia circular ajuda a enfrentar as mudancas climaticas
   Area Metropolitana de Barcelona, 2018, Climate and energy plan 2030. The path towards a more self-sufficient, resilient and emission-neutral metropolis
   Atanasova N., 2021, Circ. Econ. Sustain, V1, P319, DOI [DOI 10.1007/S43615-021-00024-1, 10.1007/s43615-021-00024]
   Barcelona Regional, 2018, Agenda Besos
   Besos Consorci, 2017, Agenda Besos
   Bulkeley H., 2017, Steering the metropolis: Metropolitan governance for sustainable urban development, P209
   Capel H., 2003, La cosmopolis y la ciudad
   Cirera J., 2020, 4 C ISUF H METR REC, P1
   Consorci Besos, 2021, Pla director per a la transformacio urbana del barri de Vallbona - Agrovallbona
   Crippa M, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac00e2
   Dinshaw A., 2017, Steering the metropolis: Metropolitan governance for sustainable urban development, P218
   Ellen MacArthur Foundation, 2017, Cities in the circular economy: An initial exploration
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Esbrí L, 2021, WATER-SUI, V13, DOI 10.3390/w13131730
   Folke C, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102400
   Folke C, 2011, AMBIO, V40, P719, DOI 10.1007/s13280-011-0184-y
   Frey K., 2013, 15 ENC ASS NAC PROGR
   Herzog C. P., 2013, Cidades para todos
   Hoffmann-Martinot V., 2013, International Political Science Association, V37
   Intergovernmental Panel on Climate Change, 2018, GLOB WARM 1 5 C, DOI [DOI 10.1017/9781009157940, 10.1017/9781009157940]
   Krueger EH, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00053-1
   Mantovaneli O., 2010, Brazilian Journal of Environmental Sciences, V18, P77
   Marques A. L., 2024, Tese (Doutorado em Arquitetura e Urbanismo
   Marques A. L., 2019, Franjas metropolitanas e as dimensoes da sustentabilidade: o caso da sub-bacia Juqueri-Cantareira da regiao metropolitana de Sao Paulo, P163
   Marques AL, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042391
   Marques Eduardo, 2013, Bras. political sci. rev., V7, P8
   Marques Ledo, 2024, Fakultat fur Architektur und Landschaft, DOI [10.15488/16756, DOI 10.15488/16756]
   Maza E. L., 2018, 17 14O C NAC MED AMB
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Montaner J. M., 2010, The Barcelona model reviewed
   Nel O., 2002, Cataluna, ciudad de ciudades
   Palermo P. C., 2014, Place-making and urban development, DOI [10.4324/9781315885469, DOI 10.4324/9781315885469]
   Rauws WS, 2011, PLAN THEORY PRACT, V12, P269, DOI 10.1080/14649357.2011.581025
   Rocha J., 2005, 10 COL IB GEOGR GEOG, P97
   Santasusagna Riu A., 2019, Sud-Ouest europeen, P11, DOI DOI 10.4000/SOE.5133
   Schr├a┬Ader J., 2018, DYNAMICS PERIPHERY A
   Schroder J., 2022, Circular design: Design-led innovation for circular territories, DOI [10.15488/12542, DOI 10.15488/12542]
   Scott AJ, 2013, PROG PLANN, V83, P1, DOI 10.1016/j.progress.2012.09.001
   Shi L, 2019, ENVIRON SCI POLICY, V92, P262, DOI 10.1016/j.envsci.2018.11.002
   Steffen W, 2011, AMBIO, V40, P739, DOI 10.1007/s13280-011-0185-x
   Suárez M, 2020, ROUT INT HANDB, P197
   Tomàs M, 2017, RAUMFORSCH RAUMORDN, V75, P243, DOI 10.1007/s13147-016-0445-0
   Vallbé JJ, 2018, J URBAN AFF, V40, P13, DOI 10.1111/juaf.12243
   Vidal-Casanovas E., 2020, 4 C ISUF H METR REC, P1
   Wolfram M, 2019, AMBIO, V48, P437, DOI 10.1007/s13280-019-01169-y
   Yin RobertK., 2009, Case Study Research: Design and Methods, V4th ed.
NR 47
TC 6
Z9 6
U1 19
U2 30
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUL
PY 2024
VL 150
AR 105018
DI 10.1016/j.cities.2024.105018
EA APR 2024
PG 13
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA TB7N9
UT WOS:001238864600001
DA 2025-04-22
ER

PT J
AU Russo, B
   Velasco, M
   Locatelli, L
   Sunyer, D
   Yubero, D
   Monjo, R
   Martínez-Gomariz, E
   Forero-Ortiz, E
   Sánchez-Muñoz, D
   Evans, B
   Gómez, AG
AF Russo, Beniamino
   Velasco, Marc
   Locatelli, Luca
   Sunyer, David
   Yubero, Daniel
   Monjo, Robert
   Martinez-Gomariz, Eduardo
   Forero-Ortiz, Edwar
   Sanchez-Munoz, Daniel
   Evans, Barry
   Gonzalez Gomez, Andoni
TI Assessment of Urban Flood Resilience in Barcelona for Current and Future
   Scenarios. The RESCCUE Project
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; cascading effects; climate change; pluvial floods; 1D;
   2D coupled models
ID EXTREME PRECIPITATION; HYDRAULIC EFFICIENCY; METHODOLOGY; IMPACT
AB The results of recent climate projections for the city of Barcelona show a relevant increment of the maximum rainfall intensities for the period 2071-2100. Considering the city as a system of systems, urban resilience is strictly linked to the proper functioning of urban services and the knowledge of the cascading effects that may occur in the case of the failure of one or more critical infrastructures of a particular strategic sector. In this context, the aim of this paper is to assess urban resilience through the analysis of the behavior of the main urban services in case of pluvial floods for current and future rainfall conditions due to climate change. A comprehensive flood risk assessment including direct, indirect, tangible and intangible impacts has been performed using cutting edge sectorial and integrated models to analyze the resilience of different urban services (urban drainage, traffic, electric and waste sectors) and their cascade effects. In addition, the paper shows how the information generated by these models can be employed to feed a more holistic analysis to provide a general overview of the city's resilience in the case of extreme rainfall events. According to the obtained results, Barcelona could suffer a significant increase of socio-economic impacts due to climate change if adaptation measures are not adopted. In several cases, these impacts have been geographically distributed showing the specific situation of each district of the city for current and future scenarios. This information is essential for the justification and prioritization of the implementation of adaptation measures.
C1 [Russo, Beniamino; Velasco, Marc; Locatelli, Luca; Sunyer, David; Yubero, Daniel] AQUATEC SUEZ Adv Solut, Paseo Zona Franca 46-48, Barcelona 08038, Spain.
   [Russo, Beniamino] Univ Zaragoza, Tech Coll La Almunia, Escuela Politecn La Almunia EUPLA, Grp Ingn Hidraul & Ambiental GIHA, Calle Mayor 5, Zaragoza 50100, Spain.
   [Russo, Beniamino; Martinez-Gomariz, Eduardo] Univ Politecn Cataluna, Flumen Res Inst, Jordi Girona 1-3, Barcelona 08034, Spain.
   [Monjo, Robert] Climate Res Fdn, Fdn Invest Clima FIC, Calle Gran Via 22, Madrid 28019, Spain.
   [Martinez-Gomariz, Eduardo; Forero-Ortiz, Edwar] Water Technol Ctr, Cetaqua, Carretera Esplugues 75, Barcelona 08940, Spain.
   [Sanchez-Munoz, Daniel] IREC, Power Syst Dept, Jardins Dones Negre 1,2a Pl, Barcelona 08930, Spain.
   [Evans, Barry] Univ Exeter, Ctr Water Syst, Exeter EX4 4QF, Devon, England.
   [Evans, Barry] Massey Univ, Coll Sci, Sch Built Environm, Auckland 0745, New Zealand.
   [Gonzalez Gomez, Andoni] Ajuntament Barcelona Barcelona Municipal, Carrer Torrent Olla 218, Barcelona 08012, Spain.
C3 University of Zaragoza; Universitat Politecnica de Catalunya; Institut
   de Recerca en Energia de Catalunya (IREC); University of Exeter; Massey
   University
RP Russo, B (corresponding author), AQUATEC SUEZ Adv Solut, Paseo Zona Franca 46-48, Barcelona 08038, Spain.; Russo, B (corresponding author), Univ Zaragoza, Tech Coll La Almunia, Escuela Politecn La Almunia EUPLA, Grp Ingn Hidraul & Ambiental GIHA, Calle Mayor 5, Zaragoza 50100, Spain.; Russo, B (corresponding author), Univ Politecn Cataluna, Flumen Res Inst, Jordi Girona 1-3, Barcelona 08034, Spain.
EM brusso@unizar.es; marc.velasco@suez.com; luca.locatelli@aquatec.es;
   dsunyer@aquatec.es; dyuberop@aquatec.es; rma@fic.es;
   eduardo.martinez-gomariz@upc.edu; eaforero@cetaqua.com;
   dsanchezm@irec.cat; b.evans@exeter.ac.uk; agonzalezgom@bcn.cat
RI Monjo, Robert/J-4033-2014; Forero Ortiz, Edwar/C-4607-2014; Russo,
   Beniamino/Z-6372-2019; Sanchez Munoz, Daniel/A-1365-2019;
   Martinez-Gomariz, Eduardo/I-1269-2019
OI Locatelli, Luca/0000-0003-3859-3553; Russo,
   Beniamino/0000-0001-9437-0085; Forero-Ortiz, Edwar/0000-0002-5238-278X;
   Sanchez Munoz, Daniel/0000-0001-6491-191X; Yubero,
   Daniel/0000-0002-6453-9684; Martinez-Gomariz,
   Eduardo/0000-0002-0189-0725
FU Horizon2020 Programme [700174]
FX This research was funded by Horizon2020 Programme, Grant Agreement No.
   700174.
CR [Anonymous], 0904 USACE
   Arnbjerg-Nielsen K, 2012, URBAN WATER J, V9, P57, DOI 10.1080/1573062X.2011.630091
   Barcelona City Council, 2018, Climate plan 2018-2030
   Calzada I, 2020, TRANSFORM GOV-PEOPLE, V14, P133, DOI 10.1108/TG-03-2020-0047
   EVANS B, 2020, SUSTAINABILITY-BASEL, V12, DOI DOI 10.3390/SU12062330
   Evans B., INTERNAL REPORT
   FEMA, 2009, Multi-Hazard Loss Estimation Methodology, Flood Model, Hazus-MH Technical Manual
   Gómez M, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12479
   Gómez M, 2013, URBAN WATER J, V10, P50, DOI 10.1080/1573062X.2012.690435
   Gómez M, 2011, P I CIVIL ENG-WAT M, V164, P81, DOI 10.1680/wama.900070
   Gómez M, 2009, J IRRIG DRAIN ENG, V135, P225, DOI 10.1061/(ASCE)0733-9437(2009)135:2(225)
   Guerrero-Hidalga M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124807
   Hammond MJ, 2015, URBAN WATER J, V12, P14, DOI 10.1080/1573062X.2013.857421
   Henonin J, 2013, J HYDROINFORM, V15, P717, DOI 10.2166/hydro.2013.132
   Innovyze, 2020, INFOWORKS INT CATCHM
   Kandali A. B., 2008, TENCON 2008 2008 IEE, P1
   Leandro J, 2009, J HYDRAUL ENG-ASCE, V135, P495, DOI 10.1061/(ASCE)HY.1943-7900.0000037
   Lipeme Kouyi G., 2008, P 11 INT C URB DRAIN
   Mark O, 2004, J HYDROL, V299, P284, DOI [10.1016/j.jhydrol.2004.08.014, 10.1016/j.jhydrol.2001.08.014]
   Martínez-Gomariz E, 2019, ING AGUA, V23, P229, DOI 10.4995/Ia.2019.12137
   Martínez-Gomariz E, 2019, WATER-SUI, V11, DOI 10.3390/w11122658
   Martínez-Gomariz E, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12558
   Martínez-Gomariz E, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12475
   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
   MARTINEZGOMARIZ E, 2020, SUSTAINABILITY-BASEL, V12, DOI DOI 10.3390/SU12072666
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Monjo R., REPORT EXTREME EVENT
   Monjo R, 2016, INT J CLIMATOL, V36, P757, DOI 10.1002/joc.4380
   Obermayer A, 2010, WATER SCI TECHNOL, V62, P2175, DOI 10.2166/wst.2010.439
   Penning-Rowsell E., 2010, The Benefits of Flood and Coastal Risk Management: a Handbook of Assessment Techniques-2010 (Multicoloured Manual)
   Pina RD, 2016, WATER-SUI, V8, DOI 10.3390/w8020058
   Pyatkova K.H., 2019, FLOOD IMPACTS ROAD T
   Robarge T, 2005, LC GC EUR, P21
   Russo B, 2020, ING AGUA, V24, P101, DOI 10.4995/Ia.2020.12179
   Russo B, 2013, NAT HAZARDS, V69, P251, DOI 10.1007/s11069-013-0702-2
   Russo B., INTERNAL REPORT
   Russo B., 2011, P JORN ING AG JIA BA
   Russo B., MULTIHAZARDS ASSESSM
   Russo B, 2015, J HYDROINFORM, V17, P473, DOI 10.2166/hydro.2014.063
   Sánchez-Muñoz D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041527
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Velasco M, 2018, J FLOOD RISK MANAG, V11, pS55, DOI 10.1111/jfr3.12247
   Velasco M, 2018, WATER-SUI, V10, DOI 10.3390/w10101356
   Visvizi A., 2019, Smart Cities: Issues and Challenges: Mapping Political, Social and Economic Risks and Threats
   Walloth C., 2014, Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling
NR 46
TC 21
Z9 21
U1 13
U2 53
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2020
VL 12
IS 14
AR 5638
DI 10.3390/su12145638
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 MS5JR
UT WOS:000554312600001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Liang, DK
   Teng, MJ
   Xu, DW
AF Liang, Dekuo
   Teng, Mingjun
   Xu, Dawei
TI Impact of perceived social support on depression in Chinese
   rural-to-urban migrants: The mediating effects of loneliness and
   resilience
SO JOURNAL OF COMMUNITY PSYCHOLOGY
LA English
DT Article
DE China; depression; mediation; perceived social support; rural-to-urban
   migrant
ID LIFE SATISFACTION; MENTAL-HEALTH; SELF-ESTEEM; SYMPTOMS; SCALE; WELL;
   CHILDHOOD; STUDENTS; ANXIETY; ABUSE
AB The present study aimed to examine whether loneliness and resilience played the roles of mediators on the relationship between perceived social support and depression. A total of 712 Chinese rural-to-urban migrants from Nanjing, who were measured with perceived social support, resilience, loneliness, and depression, participated in the study. Results indicated that perceived social support and resilience were negatively associated with depression. Loneliness was a significant and negative predictor for depression. In addition, we also revealed that resilience and loneliness partially mediated the relationship between perceived social support and depression. These findings might develop a better understanding of depression in the course of migration.
C1 [Liang, Dekuo] Shanghai Univ Polit Sci & Law, Shanghai, Peoples R China.
   [Teng, Mingjun] East China Univ Sci & Technol, Sch Social & Publ Adm, Shanghai, Peoples R China.
   [Xu, Dawei] Shanghai Int Studies Univ, Fac Social Sci, 550 Dalian Rd W, Shanghai 200083, Peoples R China.
C3 Shanghai University of Political Science & Law; East China University of
   Science & Technology; Shanghai International Studies University
RP Liang, DK (corresponding author), Shanghai Int Studies Univ, Fac Social Sci, 550 Dalian Rd W, Shanghai 200083, Peoples R China.
EM 02522@shisu.edu.cn
CR [Anonymous], 2018, Statistical Communique of the Peoples Republic of China on the 2017 National Economic and Social Development
   Aydin B, 2016, NORD J PSYCHIAT, V70, P418, DOI 10.3109/08039488.2016.1143028
   Azam WMYWM, 2013, ASIA-PAC PSYCHIAT, V5, P134, DOI 10.1111/appy.12061
   Bajaj B, 2016, PERS INDIV DIFFER, V93, P63, DOI 10.1016/j.paid.2015.09.005
   Baker O. E., 2016, J PSYCHOL COUNS SCH, V21, P175
   Bambara JK, 2011, DISABIL REHABIL, V33, P1, DOI 10.3109/09638288.2010.481026
   BECK AT, 1988, CLIN PSYCHOL REV, V8, P77, DOI 10.1016/0272-7358(88)90050-5
   Bodner E, 2016, PSYCHIAT RES, V237, P78, DOI 10.1016/j.psychres.2016.01.074
   Cacioppo JT, 2010, PSYCHOL AGING, V25, P453, DOI 10.1037/a0017216
   Cacioppo JT, 2006, PSYCHOL AGING, V21, P140, DOI 10.1037/0882-7974.21.1.140
   Caputi M, 2017, J GENET PSYCHOL, V178, P207, DOI 10.1080/00221325.2017.1317629
   Catalano D, 2011, REHABIL PSYCHOL, V56, P200, DOI 10.1037/a0024571
   Chen WF, 2017, PERS INDIV DIFFER, V108, P98, DOI 10.1016/j.paid.2016.12.009
   Connor KM, 2003, DEPRESS ANXIETY, V18, P76, DOI 10.1002/da.10113
   Dias Rachel, 2015, Trends Psychiatry Psychother., V37, P12
   Fang F, 2010, SOCIAL PSYCHIAT PSYC, V45, P655
   Fu C, 2014, J AFFECT DISORDERS, V155, P149, DOI 10.1016/j.jad.2013.10.041
   Jenkins SR, 2013, J COLL COUNS, V16, P129, DOI 10.1002/j.2161-1882.2013.00032.x
   KENDALL PC, 1987, COGNITIVE THER RES, V11, P289, DOI 10.1007/BF01186280
   Kocsis RN, 2013, INT J OFFENDER THER, V57, P1546, DOI 10.1177/0306624X13511040
   Kong F, 2015, NEUROIMAGE, V123, P165, DOI 10.1016/j.neuroimage.2015.08.020
   Kotov R, 2010, PSYCHOL BULL, V136, P768, DOI 10.1037/a0020327
   Liang Y, 2017, J HEALTH PSYCHOL, V22, P1869, DOI 10.1177/1359105316639437
   Lindert J, 2014, INT J PUBLIC HEALTH, V59, P359, DOI 10.1007/s00038-013-0519-5
   Liu JC, 2015, INT J NURS STUD, V52, P1846, DOI 10.1016/j.ijnurstu.2015.07.005
   Liu LJ, 2016, J HEALTH PSYCHOL, V21, P750, DOI 10.1177/1359105314536941
   Lu FY, 2017, ADDICT BEHAV, V68, P52, DOI 10.1016/j.addbeh.2017.01.017
   McDougall MA, 2016, PSYCHIAT RES, V246, P223, DOI 10.1016/j.psychres.2016.09.018
   Melrose KL, 2015, PERS INDIV DIFFER, V77, P97, DOI 10.1016/j.paid.2014.12.047
   Neto F, 2016, SOC INDIC RES, V126, P425, DOI 10.1007/s11205-015-0895-8
   Pehlivan S, 2012, SUPPORT CARE CANCER, V20, P733, DOI 10.1007/s00520-011-1137-5
   Peplau L.A., 1982, LONELINESS SOURCE BO
   Plöderl M, 2015, INT REV PSYCHIATR, V27, P367, DOI 10.3109/09540261.2015.1083949
   Preacher KJ, 2008, BEHAV RES METHODS, V40, P879, DOI 10.3758/BRM.40.3.879
   Qiu PY, 2011, J AFFECT DISORDERS, V134, P198, DOI 10.1016/j.jad.2011.05.043
   Reker G., 2008, 62 SCI M GER SOC AM
   Ribeiro JD, 2018, BRIT J PSYCHIAT, V212, P279, DOI 10.1192/bjp.2018.27
   Russell DW, 1996, J PERS ASSESS, V66, P20, DOI 10.1207/s15327752jpa6601_2
   Sahin Baltaci H, 2015, EURASIAN J EDUC RES, P111, DOI 10.14689/ejer.2015.60.7
   Sart ZH, 2016, J COUNS DEV, V94, P195, DOI 10.1002/jcad.12076
   Shi M, 2015, BMC MED EDUC, V15, DOI 10.1186/s12909-015-0297-2
   [孙仕秀 Sun Shixiu], 2013, [中国临床心理学杂志, Chinese Journal of Clinical Psychology], V21, P114
   Taylor A. B., 2015, ORGAN RES METHODS, V11, P241
   Theeke LA, 2012, J PSYCHOL, V146, P155, DOI 10.1080/00223980.2011.609571
   Tian Q, 2016, J HEALTH PSYCHOL, V21, P1137, DOI 10.1177/1359105314547245
   Tian Y, 2018, FRONT PSYCHOL, V9, DOI 10.3389/fpsyg.2018.01181
   Trepte S, 2015, MEDIA PSYCHOL, V18, P74, DOI 10.1080/15213269.2013.838904
   Wang JY, 2018, BMC PSYCHIATRY, V18, DOI 10.1186/s12888-018-1736-5
   Yildiz M.A., 2017, Journal Of Education and Practice, V8, P130
   Ypsilanti A, 2019, J AFFECT DISORDERS, V243, P108, DOI 10.1016/j.jad.2018.09.056
   Zhang JT, 2009, QUAL LIFE RES, V18, P291, DOI 10.1007/s11136-009-9454-6
   Zhao X, 2018, PSYCHIAT RES, V268, P143, DOI 10.1016/j.psychres.2018.07.011
   [赵燕 Zhao Yan], 2014, [中国临床心理学杂志, Chinese Journal of Clinical Psychology], V22, P512
   [钟宝亮 Zhong Baoliang], 2010, [中国药物依赖性杂志, Chinese Journal of Drug Dependence], V19, P371
   Zhou ZK, 2017, PERS INDIV DIFFER, V104, P137, DOI 10.1016/j.paid.2016.07.040
   ZIMET GD, 1988, J PERS ASSESS, V52, P30, DOI 10.1207/s15327752jpa5201_2
NR 56
TC 30
Z9 31
U1 8
U2 59
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0090-4392
EI 1520-6629
J9 J COMMUNITY PSYCHOL
JI J. Community Psychol.
PD SEP
PY 2019
VL 47
IS 7
BP 1603
EP 1613
DI 10.1002/jcop.22215
PG 11
WC Public, Environmental & Occupational Health; Psychology,
   Multidisciplinary; Social Work
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Psychology; Social Work
GA IR9RU
UT WOS:000481784100003
PM 31332801
DA 2025-04-22
ER

PT J
AU Gu, TS
   Zhao, HB
   Yue, L
   Guo, JJ
   Cui, QY
   Tang, JQ
   Gong, ZY
   Zhao, PJ
AF Gu, Tianshun
   Zhao, Hongbo
   Yue, Li
   Guo, Jiaojiao
   Cui, Qinyu
   Tang, Junqing
   Gong, Zhaoya
   Zhao, Pengjun
TI Attribution analysis of urban social resilience differences under
   rainstorm disaster impact: Insights from interpretable spatial machine
   learning framework
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Urban social resilience; Interpretable spatial machine learning
   framework; Geographically weighted random forest; Urban Resilience
ID EVOLUTION; STRATEGY; INDEX
AB With the frequent occurrence of extreme rainstorms in global cities, understanding differences in social resilience is crucial for constructing climate-adaptive communities. However, quantitatively analyzing the compound effects and interactions of social resilience determinants remains challenging. Here, we developed an advanced interpretable spatial machine learning framework to analyze social resilience across 2,221 blocks in Zhengzhou City, China, from 2005 to 2022. The framework integrates the Geographically Weighted Random Forest model with the SHapley Additive exPlanations model to address non-linearity, spatial heterogeneity, and interpretability simultaneously. Our findings revealed that the social resilience increased by 64.75% in response to rainstorm disasters, while the differences among blocks widened by 13.19%. We also observed that the central areas of cities presented the high social resilience pattern, while the social resilience in the peripheral areas was relatively low. The probability of blocks maintaining their social resilience levels was 66.93% for low (I)-resilience blocks and 52.60% for high (IV)-resilience blocks. Key factors-such as economic vitality, population size, government services, and rainfall intensity-significantly influenced social resilience, with nonlinear relationships and local threshold effects. The impact of factors like land use diversity and facility supply varied spatially. This research deepens the understanding of the compound effects of social resilience determinants and highlights the importance of formulating flood intervention strategies in accordance with local conditions.
C1 [Gu, Tianshun; Zhao, Hongbo; Yue, Li; Guo, Jiaojiao] Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng 475001, Peoples R China.
   [Gu, Tianshun; Zhao, Hongbo; Yue, Li; Guo, Jiaojiao] Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat Join, Kaifeng 475001, Peoples R China.
   [Gu, Tianshun] China Univ Geosci, State Key Lab Biogeol & Environm Geol, Wuhan, Peoples R China.
   [Gu, Tianshun] China Univ Geosci, Sch Environm Studies, Wuhan, Peoples R China.
   [Zhao, Hongbo] Henan Univ, Lab Climate Change Mitigat & Carbon Neutral, Zhengzhou 450046, Peoples R China.
   [Cui, Qinyu] South China Univ Technol, Dept Civil & Transportat Engn, Guangzhou 510641, Peoples R China.
   [Tang, Junqing; Gong, Zhaoya; Zhao, Pengjun] Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Shenzhen 51855, Peoples R China.
C3 Henan University; Henan University; China University of Geosciences;
   China University of Geosciences; Henan University; South China
   University of Technology; Peking University
RP Zhao, HB (corresponding author), Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng 475001, Peoples R China.; Zhao, HB (corresponding author), Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat Join, Kaifeng 475001, Peoples R China.; Zhao, HB (corresponding author), Henan Univ, Lab Climate Change Mitigat & Carbon Neutral, Zhengzhou 450046, Peoples R China.
EM zhaohbhhwm@163.com
RI Z, HB/KHX-5716-2024; Gong, Zhaoya/AAQ-5282-2021; Cui,
   Qinyu/GXM-6727-2022
OI Cui, Qinyu/0000-0001-6687-9992
FU National Natural Science Foun-dation of China [42371217]; Natural
   Science Foundation for Excellent Young Scholars of Henan Province
   [232300421101]; Key Laboratory of Earth Surface System and Human-Earth
   Relations, Ministry of Natural Resources of China [LBXT2023YB08]
FX This research was supported by the National Natural Science Foun-dation
   of China (42371217) , the Natural Science Foundation for Excellent Young
   Scholars of Henan Province (232300421101) , and the Key Laboratory of
   Earth Surface System and Human-Earth Relations, Ministry of Natural
   Resources of China (LBXT2023YB08) .
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   Alizadeh H, 2024, INT J DISAST RISK RE, V108, DOI 10.1016/j.ijdrr.2024.104573
   Alizadeh H, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102514
   Bimonte S, 2023, CITIES, V142, DOI 10.1016/j.cities.2023.104550
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Cao FF, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110643
   Cao YC, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105071
   Cardoso MA, 2020, H2OPEN J, V3, P77, DOI 10.2166/h2oj.2020.003
   Champlin C, 2023, CITIES, V135, DOI 10.1016/j.cities.2023.104220
   Chen YH, 2023, J ENVIRON MANAGE, V332, DOI 10.1016/j.jenvman.2023.117404
   Cheng SF, 2024, INT J GEOGR INF SCI, V38, P1856, DOI 10.1080/13658816.2024.2358052
   Cui QY, 2023, INT J APPL EARTH OBS, V124, DOI 10.1016/j.jag.2023.103537
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Dastjerdi MS, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100794
   Devitt L, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38297-9
   Fahlberg A, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102623
   Fox S, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-47394-2
   Fu HY, 2023, CITIES, V140, DOI 10.1016/j.cities.2023.104385
   Fu XF, 2024, J HYDROL, V636, DOI 10.1016/j.jhydrol.2024.131255
   Georganos S, 2021, GEOCARTO INT, V36, P121, DOI 10.1080/10106049.2019.1595177
   Goodling P, 2024, ENVIRON MODELL SOFTW, V179, DOI 10.1016/j.envsoft.2024.106124
   Grekousis G, 2022, HEALTH PLACE, V74, DOI 10.1016/j.healthplace.2022.102744
   Gu YS, 2023, ACCIDENT ANAL PREV, V179, DOI 10.1016/j.aap.2022.106880
   Habitat UN, 2020, World Cities Report 2020. The value of sustainable urbanization
   Hao HY, 2022, LANDSCAPE URBAN PLAN, V220, DOI 10.1016/j.landurbplan.2022.104352
   Herrera-Benavides J, 2024, LANDSCAPE URBAN PLAN, V249, DOI 10.1016/j.landurbplan.2024.105106
   Hu SY, 2024, APPL GEOGR, V166, DOI 10.1016/j.apgeog.2024.103269
   Hussain M, 2023, URBAN CLIM, V50, DOI 10.1016/j.uclim.2023.101589
   Jaafari A, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105051
   Jacinto R, 2020, SCI TOTAL ENVIRON, V744, DOI 10.1016/j.scitotenv.2020.140973
   Ji J, 2024, INT J DISAST RISK RE, V108, DOI 10.1016/j.ijdrr.2024.104519
   Jiang FS, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103759
   Jiang HX, 2024, J TRANSP GEOGR, V118, DOI 10.1016/j.jtrangeo.2024.103926
   Ke ET, 2025, J HYDROL, V648, DOI 10.1016/j.jhydrol.2024.132398
   Keck M, 2013, ERDKUNDE, V67, P5, DOI 10.3112/erdkunde.2013.01.02
   Khosravi K, 2020, J HYDROL, V591, DOI 10.1016/j.jhydrol.2020.125552
   Kim S, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104419
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Kotzee I, 2016, ECOL INDIC, V60, P45, DOI 10.1016/j.ecolind.2015.06.018
   Lee HK, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101198
   Li HY, 2024, J CLEAN PROD, V447, DOI 10.1016/j.jclepro.2024.141614
   Li HX, 2024, INT J DISAST RISK RE, V101, DOI 10.1016/j.ijdrr.2024.104249
   Li LY, 2020, LANDSCAPE URBAN PLAN, V194, DOI 10.1016/j.landurbplan.2019.103703
   Li W, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104631
   Li WJ, 2023, INT J DISAST RISK RE, V92, DOI 10.1016/j.ijdrr.2023.103717
   Li ZH, 2024, LANDSCAPE URBAN PLAN, V244, DOI 10.1016/j.landurbplan.2023.104996
   Li ZQ, 2024, ANN AM ASSOC GEOGR, V114, P1365, DOI 10.1080/24694452.2024.2350982
   Li ZQ, 2022, COMPUT ENVIRON URBAN, V96, DOI 10.1016/j.compenvurbsys.2022.101845
   Liang YX, 2024, SUSTAIN CITIES SOC, V107, DOI 10.1016/j.scs.2024.105424
   Lim J, 2024, INT J DISAST RISK RE, V104, DOI 10.1016/j.ijdrr.2024.104329
   Liu CL, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12193139
   Liu YH, 2023, INT J DISAST RISK RE, V90, DOI 10.1016/j.ijdrr.2023.103649
   Liu ZR, 2024, CITIES, V153, DOI 10.1016/j.cities.2024.105170
   Liu ZW, 2024, COMPUT ENVIRON URBAN, V110, DOI 10.1016/j.compenvurbsys.2024.102096
   Luo KS, 2022, LANDSCAPE URBAN PLAN, V219, DOI 10.1016/j.landurbplan.2021.104317
   Calle ML, 2011, HUM HERED, V72, P121, DOI 10.1159/000330778
   Lwin KK, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101745
   Ma XY, 2024, IEEE J-STARS, V17, P4109, DOI 10.1109/JSTARS.2023.3348476
   Ma XY, 2023, ECOL INFORM, V78, DOI 10.1016/j.ecoinf.2023.102293
   Mabrouk M, 2023, INT J DISAST RISK RE, V91, DOI 10.1016/j.ijdrr.2023.103684
   Mahmoudi B, 2022, ENVIRON DEV, V43, DOI 10.1016/j.envdev.2022.100724
   Mainali J, 2023, ANN AM ASSOC GEOGR, V113, P390, DOI 10.1080/24694452.2022.2107478
   Meng ZR, 2024, ECOL INDIC, V159, DOI 10.1016/j.ecolind.2024.111769
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Nakanishi H, 2019, RES TRANSP BUS MANAG, V30, DOI 10.1016/j.rtbm.2019.100376
   Nguyen HD, 2024, SCI TOTAL ENVIRON, V921, DOI 10.1016/j.scitotenv.2024.171204
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Omarsdóttir IL, 2022, INT J DISAST RISK RE, V81, DOI 10.1016/j.ijdrr.2022.103272
   Osman T, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103372
   Pallathadka A, 2022, LANDSCAPE URBAN PLAN, V223, DOI 10.1016/j.landurbplan.2022.104417
   Pan SJ, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103170
   Peng JQ, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103080
   Peroni F, 2024, LANDSCAPE URBAN PLAN, V244, DOI 10.1016/j.landurbplan.2023.104998
   Pijanowski B. C., 2002, Computers, Environment and Urban Systems, V26, P553, DOI 10.1016/S0198-9715(01)00015-1
   Pour MB, 2023, BUILD ENVIRON, V243, DOI 10.1016/j.buildenv.2023.110703
   Rentschler J, 2023, NATURE, V622, P87, DOI 10.1038/s41586-023-06468-9
   Rudin C, 2019, NAT MACH INTELL, V1, P206, DOI 10.1038/s42256-019-0048-x
   Saja AMA, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101957
   Saja AMA, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101096
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Sha SY, 2024, HABITAT INT, V143, DOI 10.1016/j.habitatint.2023.102991
   Song L, 2024, CITIES, V144, DOI 10.1016/j.cities.2023.104637
   Suárez M, 2024, LANDSCAPE URBAN PLAN, V241, DOI 10.1016/j.landurbplan.2023.104923
   Sweya LN, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102558
   Tang JQ, 2023, NATL SCI REV, V10, DOI 10.1093/nsr/nwad097
   Tang XZ, 2024, SUSTAIN CITIES SOC, V109, DOI 10.1016/j.scs.2024.105523
   Tesselaar M, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-43229-8
   Wang HF, 2024, J HYDROL, V630, DOI 10.1016/j.jhydrol.2024.130742
   Wang HL, 2022, J HYDROL-REG STUD, V39, DOI 10.1016/j.ejrh.2021.100985
   Wang LQ, 2024, INT J APPL EARTH OBS, V128, DOI 10.1016/j.jag.2024.103746
   Wang M, 2023, ECOL INDIC, V156, DOI 10.1016/j.ecolind.2023.111137
   Wang QC, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104745
   Wang Q, 2024, SUSTAIN CITIES SOC, V108, DOI 10.1016/j.scs.2024.105474
   Wang SF, 2024, SUSTAIN CITIES SOC, V114, DOI 10.1016/j.scs.2024.105731
   Wang SL, 2024, ACCIDENT ANAL PREV, V199, DOI 10.1016/j.aap.2024.107528
   Wang T, 2023, J ENVIRON MANAGE, V345, DOI 10.1016/j.jenvman.2023.118787
   Wang XM, 2024, INT J DISAST RISK RE, V100, DOI 10.1016/j.ijdrr.2023.104208
   Wang YF, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105141
   Wang YH, 2024, WATER RES, V256, DOI 10.1016/j.watres.2024.121591
   Wu DY, 2024, ACCIDENT ANAL PREV, V194, DOI 10.1016/j.aap.2023.107370
   Wu YY, 2023, INT J DISAST RISK RE, V93, DOI 10.1016/j.ijdrr.2023.103754
   Wu ZN, 2020, J HYDROL, V583, DOI 10.1016/j.jhydrol.2020.124596
   Yan R, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.897731
   Yang LC, 2024, TRAVEL BEHAV SOC, V34, DOI 10.1016/j.tbs.2023.100673
   Yang W, 2024, LANDSCAPE URBAN PLAN, V243, DOI 10.1016/j.landurbplan.2023.104969
   Yang YF, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101859
   Yang YQ, 2024, INT J GEOGR INF SCI, V38, P1468, DOI 10.1080/13658816.2024.2347393
   Ye CS, 2022, GEOGR SUSTAIN, V3, P299, DOI 10.1016/j.geosus.2022.09.004
   You MZ, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104939
   Yu SY, 2023, HABITAT INT, V136, DOI 10.1016/j.habitatint.2023.102783
   Yu SY, 2023, LANDSCAPE URBAN PLAN, V230, DOI 10.1016/j.landurbplan.2022.104605
   Zebardast E, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104127
   Zhang F, 2024, INT J DISAST RISK RE, V103, DOI 10.1016/j.ijdrr.2024.104343
   Zhang SB, 2024, SUSTAIN CITIES SOC, V109, DOI 10.1016/j.scs.2024.105527
   Zhang T, 2023, J ENVIRON MANAGE, V342, DOI 10.1016/j.jenvman.2023.118129
   Zhang Y, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127053
   Zhao HB, 2024, CITIES, V155, DOI 10.1016/j.cities.2024.105444
   Zhao HB, 2023, ISCIENCE, V26, DOI 10.1016/j.isci.2023.106479
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhao ZY, 2024, SUSTAIN CITIES SOC, V106, DOI 10.1016/j.scs.2024.105366
   Zheng JX, 2024, SUSTAIN CITIES SOC, V112, DOI 10.1016/j.scs.2024.105608
   Zhu SY, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102355
   Zhu ZY, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104274
NR 124
TC 5
Z9 5
U1 100
U2 100
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 2025
VL 118
AR 106029
DI 10.1016/j.scs.2024.106029
EA DEC 2024
PG 23
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 R1V4W
UT WOS:001389412400001
DA 2025-04-22
ER

PT J
AU Lu, M
   Tan, ZL
   Yuan, C
   Dong, Y
   Dong, W
AF Lu, Ming
   Tan, Zhuolin
   Yuan, Chao
   Dong, Yu
   Dong, Wei
TI Resilience Measurements and Dynamics of Resource-Based Cities in
   Heilongjiang Province, China
SO LAND
LA English
DT Article
DE urban resilience; adaptive cycle framework; resource-based cities;
   resilience dynamics; complex adaptive system
ID SUSTAINABLE DEVELOPMENT; URBAN RESILIENCE; ADAPTABILITY; SCALE
AB In the process of sustainable transformation, resource-based cities (RBCs) in Heilongjiang are in a dilemma. Resilience is a key capability to help RBCs deepen sustainable development, adapt to shocks, and exit the transformation dilemma. This study aims to clarify the resilience measurements and dynamics of RBCs and propose targeted resilience enhancement strategies. First, we construct a resilience indicator system based on the urban complex adaptive system (CAS) and use principal component analysis (PCA) to specify indicator weights to obtain the resilience values of RBCs in Heilongjiang Province during 2010-2019, then use cluster analysis to classify five resilience grades. Second, we identify and analyze the resilience dynamics of RBCs in Heilongjiang Province from 2010-2019 based on the adaptive cycle framework. The results indicate that the overall resilience dynamics of RBCs have exhibited an upward trend over the past decade, but there are clear variations in the level of resilience values and dynamics between the different types of RBCs. The petroleum-based city has the highest level of resilience, is less affected by shocks, and recovers quickly. Forest-based cities have a medium level of resilience and are able to recover from shocks, but they fail to improve and remain at a medium level for a long time. Coal-based cities have a low level of resilience and find it difficult to recover from shocks, but this has improved since 2017. Finally, we propose targeted resilience enhancement strategies for RBCs of different types and resilience levels in Heilongjiang Province to provide RBCs with directional guidance for overcoming the development dilemma through resilience measures.
C1 [Lu, Ming; Tan, Zhuolin; Dong, Yu; Dong, Wei] Harbin Inst Technol, Sch Architecture, Harbin 150006, Peoples R China.
   [Lu, Ming; Tan, Zhuolin; Dong, Yu; Dong, Wei] Harbin Inst Technol, Minist Nat Resources, Key Lab Natl Terr Spatial Planning & Ecol Restorat, Harbin 150006, Peoples R China.
   [Yuan, Chao] Natl Univ Singapore, Dept Architecture, Singapore 117566, Singapore.
C3 Harbin Institute of Technology; Harbin Institute of Technology; Ministry
   of Natural Resources of the People's Republic of China; National
   University of Singapore
RP Tan, ZL (corresponding author), Harbin Inst Technol, Sch Architecture, Harbin 150006, Peoples R China.; Tan, ZL (corresponding author), Harbin Inst Technol, Minist Nat Resources, Key Lab Natl Terr Spatial Planning & Ecol Restorat, Harbin 150006, Peoples R China.
EM mocjoy@hit.edu.cn
RI 谭, 卓林/HNI-1653-2023; YUAN, Chao/AAX-2623-2021
CR Abou-Ali H, 2013, ECON MODEL, V30, P334, DOI 10.1016/j.econmod.2012.09.016
   Allen CR, 2010, ECOL SOC, V15
   Allington GRH, 2017, ENVIRON SCI POLICY, V68, P35, DOI 10.1016/j.envsci.2016.11.005
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Beatley T, 2013, SUSTAINABILITY-BASEL, V5, P3328, DOI 10.3390/su5083328
   Beier CM, 2009, ECOL SOC, V14
   Berkes F, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071232
   Brelsford C, 2017, P NATL ACAD SCI USA, V114, P8963, DOI 10.1073/pnas.1606033114
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Carpenter SR, 2012, SUSTAINABILITY-BASEL, V4, P3248, DOI 10.3390/su4123248
   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
   di Santo N, 2022, LAND-BASEL, V11, DOI 10.3390/land11122102
   Dicken P., 2011, GLOBAL SHIFT MAPPING, V6th ed., P20
   Ding X.C., 2008, WORLD REG STUD, V3, P70
   [董锁成 DONG Suocheng], 2007, [中国人口·资源与环境, China Population·Resources and Environment], V17, P12
   Doukas H, 2012, RENEW SUST ENERG REV, V16, P1949, DOI 10.1016/j.rser.2012.01.018
   Fath BD, 2015, ECOL SOC, V20, DOI 10.5751/ES-07467-200224
   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
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   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
   Holling CS., 2002, PANARCHY UNDERSTANDI, P63
   Hosseini HM, 2011, ECOL INDIC, V11, P811, DOI 10.1016/j.ecolind.2010.10.007
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   [胡语宸 Hu Yuchen], 2020, [地理科学, Scientia Geographica Sinica], V40, P1450
   Huang J, 2022, LAND-BASEL, V11, DOI 10.3390/land11091470
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   [李可昕 Li Kexin], 2022, [生态学报, Acta Ecologica Sinica], V42, P10164
   Li X, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010166
   Li Y, 2018, J CLEAN PROD, V195, P1505, DOI 10.1016/j.jclepro.2017.10.227
   Li Z., 2011, SCI TECHNOL MANAG LA, V28, P46
   Liao LP, 2022, LAND-BASEL, V11, DOI 10.3390/land11111896
   Liu Z., 2011, CHINA POPUL RESOUR E, V21, P161
   Long RY, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102415
   Luo FH, 2018, LANDSCAPE URBAN PLAN, V180, P125, DOI 10.1016/j.landurbplan.2018.08.014
   [毛蒋兴 MAO Jiangxing], 2008, [地理与地理信息科学, Geography and Geo-information Science], V24, P56
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Ming L, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192316100
   Ministry of Natural Resources of the People's Republic of China, 2016, NAT MIN RES PLANN
   National Bureau of Statistics of China, ENGLISH
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   osti, CONSTRUCTING RESILIE
   Pelling M, 2011, ECOL SOC, V16
   resalliance, ASSESSING RESILIENCE
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Shi CC, 2022, LAND-BASEL, V11, DOI 10.3390/land11101803
   Tan FF, 2015, ECOL INDIC, V48, P31, DOI 10.1016/j.ecolind.2014.07.036
   The Resilience Alliance, RESILIENCE ALLIANCE
   The State Council the People's Republic of China, STATE COUNCIL PEOPLE
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   urban-response, ROCKEFELLER FDN ARUP
   Walker B, 2004, ECOL SOC, V9
   Walker B., 2012, RESILIENCE PRACTICE, P33
   Walker B., 2015, RESILIENCE THINKING, P25
   Wang DJ, 2022, LAND-BASEL, V11, DOI 10.3390/land11101750
   Wang W., 2018, RESOUR ENV, V28, P63
   Yang J, 2021, EARTH SYST SCI DATA, V13, P3907, DOI 10.5194/essd-13-3907-2021
   Yang Y, 2021, ECOL SOC, V26, DOI 10.5751/ES-12280-260220
   Zhang L, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102899
   Zhang SZ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142315910
   Zhang W., 2011, Bull. Chin. Acad. Sci., V26, P134
   Zheng Y, 2022, LAND-BASEL, V11, DOI 10.3390/land11091460
NR 65
TC 5
Z9 5
U1 7
U2 58
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD FEB
PY 2023
VL 12
IS 2
AR 302
DI 10.3390/land12020302
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 9J7RZ
UT WOS:000940380400001
OA gold
DA 2025-04-22
ER

PT J
AU Boix, R
   Rausell, P
   Abeledo, R
AF Boix, Rafael
   Rausell, Pau
   Abeledo, Raul
TI The Calatrava model: reflections on resilience and urban plasticity
SO EUROPEAN PLANNING STUDIES
LA English
DT Article
DE Calatrava model; arts and culture; urban resilience; urban plasticity
ID POLICY
AB The article introduces a critical reflection on the effects that the version of cultural capitalism based on large events and architectural symbols has on the resilience of cities when used as an engine, and not as a complement to the policies of urban transformation. The article introduces as a case of study the so-called 'Calatrava model' of the city of Valencia. The model of a cultural bubble of Valencia, designed to enable a new space, is developed and contrasted with other two examples of urban transformation designed to revitalize spaces: Bilbao - symbolically represented by Frank Gehry's Guggenheim museum - and the Barcelona 22@ - symbolically represented by Jean Nouvel's Agbar Tower. Through the notion of 'plasticity' we analyse how, despite the overall failure of the Calatrava model and its negative effect on the short-term ability of the city to absorb shocks, Valencia is able to adapt and absorb the urban transformation around the Calatrava's architectural complex and to incorporate it into their processes of dynamic resilience.
C1 [Boix, Rafael] Univ Valencia, Dept Estruct Econ, Valencia, Spain.
   [Rausell, Pau; Abeledo, Raul] Univ Valencia, Dept Econ Aplicada, Valencia, Spain.
C3 University of Valencia; University of Valencia
RP Boix, R (corresponding author), Univ Valencia, Dept Estruct Econ, Valencia, Spain.
EM rafael.boix@uv.es
RI Rausell-Koster, Pau/A-8945-2015; Boix Domenech, Rafael/K-2134-2014
OI Rausell-Koster, Pau/0000-0003-2274-7423; Boix Domenech,
   Rafael/0000-0003-0971-3464
CR [Anonymous], VALENCIA 1957 2007 R
   [Anonymous], CREATING RESILIENT E
   [Anonymous], 2008, INT J CULT POLICY
   [Anonymous], 2015, CITY CULT SOC, DOI DOI 10.1016/J.CCS.2015.05.001
   [Anonymous], 200804 BRR I URB REG
   [Anonymous], DEV PLASTICITY EVOLU
   [Anonymous], 22 BARCELONA 2000 20
   [Anonymous], PROG HUM GEOG
   [Anonymous], ISDR TERM DIS RISK R
   [Anonymous], VAL IND CREAT CULT
   Bn C., 2012, IDS WORKING PAPERS, V2012, P1, DOI [DOI 10.1111/J.2040-0209.2012.00405.X, 10.1111/J.2040-0209.2012.00405.X]
   Boix-Domenech R, 2017, PAP REG SCI, V96, P261, DOI 10.1111/pirs.12187
   Cooke P, 2011, POLICY STUD-UK, V32, P365, DOI 10.1080/01442872.2011.571852
   Cooke P, 2012, NEW HORIZ REG SCI, P403
   Cooke P, 2012, NEW HORIZ REG SCI, P43
   Cooke P, 2008, NEW HORIZ REG SCI, P1
   Cooke Philip., 2015, CITY CULTURE SOC, V6, P51, DOI [DOI 10.1016/J.CCS.2015.02.003, 10.1016/j.ccs.2015.02.003]
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cullingworth B., 2014, Town and Country Planning in the UK
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   de Jong G, 2005, NEW PHYTOL, V166, P101, DOI 10.1111/j.1469-8137.2005.01322.x
   Eraydin A, 2016, CAMB J REG ECON SOC, V9, P217, DOI 10.1093/cjres/rsv026
   Fingleton B, 2012, J REGIONAL SCI, V52, P109, DOI 10.1111/j.1467-9787.2011.00755.x
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   Heidenreich M, 2015, EUR PLAN STUD, V23, P1441, DOI 10.1080/09654313.2013.817544
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Lang T, 2012, RAUMFORSCH RAUMORDN, V70, P285, DOI 10.1007/s13147-012-0170-2
   Lazzeretti L., 2015, City Cult. Soc, V6, P83, DOI [10.1016/j.ccs.2015.02.004, DOI 10.1016/J.CCS.2015.02.004]
   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
   McGlade J, 2006, COMPLEXITY AND CO-EVOLUTION: CONTINUITY AND CHANGE IN SOCIO-ECONOMIC SYSTEMS, P147
   Pareja-Eastaway M, 2015, EUR PLAN STUD, V23, P2404, DOI 10.1080/09654313.2014.988018
   Pasquinelli C., 2015, City, Culture and Society, V6, P75, DOI DOI 10.1016/J.CCS.2015.04.001
   Plaza B, 2015, EUR PLAN STUD, V23, P1456, DOI 10.1080/09654313.2013.817543
   Plaza B, 2009, EUR PLAN STUD, V17, P1711, DOI 10.1080/09654310903230806
   Pratt Andy C., 2015, City, Culture and Society, V6, P61, DOI [10.1016/j.ccs.2014.11.001, DOI 10.1016/J.CCS.2014.11.001]
   Reghezza-Zitt M, 2012, CYBERGEO, DOI 10.4000/cybergeo.25554
   Rifkin Jeremy., 2001, AGE ACCESS NEW CULTU
   Rius-Ulldemolins J, 2016, EUR PLAN STUD, V24, P61, DOI 10.1080/09654313.2015.1075965
   Scott AJ, 2014, REG STUD, V48, P565, DOI 10.1080/00343404.2014.891010
   Trullén J, 2013, HANDB RES METH APPL, P235
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   Vanolo Alberto., 2015, City, Culture and Society, V6, P69, DOI DOI 10.1016/J.CCS.2015.01.003
   Walker B., 2004, Ecology and Society, V9, P5
NR 44
TC 22
Z9 23
U1 0
U2 19
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 2017
VL 25
IS 1
BP 29
EP 47
DI 10.1080/09654313.2016.1257570
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 EL2HG
UT WOS:000394440100003
DA 2025-04-22
ER

PT J
AU Kärrholm, M
   Nylund, K
   de la Fuente, PP
AF Karrholm, Mattias
   Nylund, Katarina
   de la Fuente, Paulina Prieto
TI Spatial resilience and urban planning: Addressing the interdependence of
   urban retail areas
SO CITIES
LA English
DT Article
DE Spatial resilience; Retail; Urban planning; Scale; Spatial topologies;
   Malmo
ID EVOLUTION; MALMO
AB In this article we look at examples of three predominant kinds of Swedish retail places - the pedestrianised city centre, the neighbourhood centre and the regional shopping mall - all of which play important (winning or losing) roles in contemporary retail development. This investigation is based on an empirical study of the Malmo region (in southern Sweden) and the findings suggest that the different retail areas are developing independently following the logic of their own business. They have failed to relate their business to the retailscape of the urban region. We also develop spatial resilience as a concept that can be used to acknowledge the interdependence of different retail areas in discussions of urban and regional planning. We argue that more fluid or associative means of stabilisation seem to be overlooked in the present strategies for retail resilience, leaving more classical network stabilization as the only means of choice. (C) 2012 Elsevier Ltd. All rights reserved.
C1 [Karrholm, Mattias; Nylund, Katarina; de la Fuente, Paulina Prieto] Malmo Univ, SE-20506 Malmo, Sweden.
C3 Malmo University
RP Kärrholm, M (corresponding author), Malmo Univ, SE-20506 Malmo, Sweden.
EM mattias.karrholm@mah.se
RI Kärrholm, Mattias/O-5133-2019
OI Karrholm, Mattias/0000-0002-4971-2733
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ahldin Beatrice, 2009, COMMUNICATION
   Altundal Zadiye, 2009, COMMUNICATION
   [Anonymous], 2010, CAMBRIDGE J REGIONS, DOI DOI 10.1093/CJRES/RSP029
   Baeten G, 2011, CONTRADICTIONS NEOLI
   Boverket, 2004, DAGS ATT HANDLA NU D
   Brand FS, 2007, ECOL SOC, V12
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Cumming GS, 2011, SPATIAL RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS, P1, DOI 10.1007/978-94-007-0307-0
   de Laet M, 2000, SOC STUD SCI, V30, P225, DOI 10.1177/030631200030002002
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forty Adrian., 2000, WORDS BUILDINGS VOCA
   Franck K., 2006, Loose space: Possibility and diversity in urban life
   Franzen M., 2004, EUROPEAN CITIES INSI
   Harman Graham., 2009, PRINCE NETWORKS
   HERTZBERGER Herman -., 2001, Lessons for Students in Architecture
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jackson T., 2009, Prosperity without growth: economics for a finite planet
   Jenks M., 2005, FUTURE FORMS DESIGN
   Karrholm M., 2011, RETAIL PLANNING RESI
   Kärrholm M, 2008, URBAN STUD, V45, P1903, DOI 10.1177/0042098008093383
   Kärrholm M, 2011, EUR PLAN STUD, V19, P1043, DOI 10.1080/09654313.2011.568819
   Kärrholm M, 2011, EUR PLAN STUD, V19, P97, DOI 10.1080/09654313.2011.530394
   Law J, 2002, THEOR CULT SOC, V19, P91, DOI 10.1177/026327602761899165
   Law J, 2001, ENVIRON PLANN D, V19, P609, DOI 10.1068/d243t
   Malmo city, 2008, SA TYCKT NI
   Malmo stad, 2008, DET MALM 2006 ARS UN
   Malmo stad, 2010, DIAL PM, P1
   McDonough W, 2009, Cradle to Cradle: Remaking the Way We Make Things
   Nyström M, 2001, ECOSYSTEMS, V4, P406, DOI 10.1007/s10021-001-0019-y
   Peterson GD, 2002, CONSERV ECOL, V6
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Ritzer George., 2005, REVOLUTIONIZING MEAN
   Saljinspiration, 2009, SYDV SKAN KOPC
   Sandin Pia, 2009, CITYSAMVERKAN
   Turesson Mari, 2010, COMMUNICATION
   Urban-net, 2010, URB NET RES ANTH
   Waller MA, 2001, AM J ORTHOPSYCHIAT, V71, P290, DOI 10.1037/0002-9432.71.3.290
   Wrigley N, 2011, ENVIRON PLANN A, V43, P2337, DOI 10.1068/a44270
NR 39
TC 66
Z9 71
U1 3
U2 108
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 121
EP 130
DI 10.1016/j.cities.2012.10.012
PG 10
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 285IA
UT WOS:000329386100014
DA 2025-04-22
ER

PT J
AU Li, J
   Peng, H
   Chen, YZ
   Zhang, SS
   He, PM
   Yang, LZ
   Si, MH
   Yang, YY
AF Li, Jing
   Peng, He
   Chen, Yizhong
   Zhang, Sisi
   He, Pengming
   Yang, Lingzhi
   Si, Minhui
   Yang, Yiyang
TI Dynamic evolution of urban resilience and its coupling mechanism with EF
   3D-driven natural capital utilization: Case study in three typical urban
   agglomerations of China
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Urban agglomerations; Urban resilience; Water system resilience; Natural
   capital utilization; Coupling mechanism; Inflection point
ID ENVIRONMENTAL SUSTAINABILITY; PLANETARY BOUNDARIES; RESOURCES; PROGRESS;
   CARBON
AB Improving urban resilience (UR) and natural capital utilization are critical for supporting regional sustainable development. However, most of the previous studies have separately assessed them, and their coupling mechanism is still unclear. This study develops a cloud model -based urban resilience (UR) assessment framework to explore the dynamic evolution of UR in the three typical urban agglomerations of the Yangtze River Economic Belt (YREB). Natural capital utilization is analyzed by an improved ecological footprint (EF 3D ) model. Coupling Coordination Degree (CCD) and Environmental Kuznets Theory (EKC) are integrated for revealing the relationship between UR and natural capital utilization. Results show that UR in the YREB shows an increasing trend with an average annual rate of 1.33%, and there is a significant difference in the sub -dimensions of UR. Water system resilience generally has a positive impact on UR in the early periods, but its impact later becomes negative, with over 45% of all cities' UR being negatively affected by water system resilience. The spatial distribution of EF 3D shows a decentralized trend in the YREB. The consumption of resource stocks represented by ecological footprint depth increases during the period from 2000 to 2015, with increase rates of 1.09%, 4.73%, and 3.42% for the upstream, midstream, and downstream urban agglomerations, respectively. The CCD between UR and natural capital utilization increases from an intermediate coordination stage to a well -coordinated stage. The EKC analysis discloses that UR and natural capital utilization present inverted U-shaped curves in three urban agglomerations with spatial differences. The inflection point of UR in the upstream is earlier (in 2008) than that in the midstream (in 2014) and downstream (in 2015) urban agglomerations. Findings can help quantify the development space for each city to enter into coordinated development in the future.
C1 [Li, Jing; Si, Minhui] Hebei Normal Univ, Coll Resource & Environm Sci, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang 050024, Peoples R China.
   [Peng, He; Chen, Yizhong; Zhang, Sisi; He, Pengming; Yang, Lingzhi] Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China.
   [Peng, He] Beijing Univ Technol, Inst Circular Econ, Beijing 100124, Peoples R China.
   [Peng, He] Beijing Univ Technol, Sch Mat Sci & Engn, Beijing 100124, Peoples R China.
   [Yang, Yiyang] Xiamen Univ, Sch Environm & Ecol, Xiamen 361104, Peoples R China.
C3 Hebei Normal University; Hebei University of Technology; Beijing
   University of Technology; Beijing University of Technology; Xiamen
   University
RP Peng, H; Chen, YZ (corresponding author), Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China.
EM Penghe98@outlook.com; 2019075@hebut.edu.cn
RI Zhang, Sisi/AFV-4667-2022; Peng, He/KFR-3714-2024
FU National Natural Science Foundation of China [42107479]; Natural Science
   Foundation of Hebei Province [D2021205010]; Social Science Development
   Research Project of Hebei Province in 2023 [20230303009]; Science
   Foundation of Hebei Normal University [L2023K03]; Science and Technology
   Project of Hebei Education Department [QN2019054]
FX The authors thank the editor and the anonymous reviewers for their
   helpful comments and suggestions. This research was supported by the
   National Natural Science Foundation of China (42107479) , Natural
   Science Foundation of Hebei Province (D2021205010) , Social Science
   Development Research Project of Hebei Province in 2023 (20230303009) ,
   Science Foundation of Hebei Normal University (L2023K03) and Science and
   Technology Project of Hebei Education Department (QN2019054) .
CR Abdrabo KI, 2023, URBAN CLIM, V48, DOI 10.1016/j.uclim.2023.101426
   Addai I., 2022, Soc. Sci. Humanit. Open., V6, DOI [10.1016/j.ssaho.2022.100349, DOI 10.1016/J.SSAHO.2022.100349]
   Adugbila EJ, 2023, CITIES, V133, DOI 10.1016/j.cities.2022.104154
   Ahmad M, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102881
   Ahmed Z, 2020, RESOUR POLICY, V67, DOI 10.1016/j.resourpol.2020.101677
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   Anelli D, 2022, J CLEAN PROD, V371, DOI 10.1016/j.jclepro.2022.133496
   [Anonymous], 2017, Trends in Urban Resilience 2017
   Barrahmoune A, 2019, ENVIRON IMPACT ASSES, V77, P136, DOI 10.1016/j.eiar.2018.12.003
   Cai JP, 2022, SCI TOTAL ENVIRON, V843, DOI 10.1016/j.scitotenv.2022.156725
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chakraborty S, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102715
   Chen CC, 2019, ECOL INDIC, V98, P575, DOI 10.1016/j.ecolind.2018.11.049
   Chen CK, 2020, SAFETY SCI, V128, DOI 10.1016/j.ssci.2020.104756
   Chen YZ, 2022, SCI TOTAL ENVIRON, V812, DOI 10.1016/j.scitotenv.2021.151510
   Chen YZ, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107448
   Chen YZ, 2016, APPL ENERG, V183, P969, DOI 10.1016/j.apenergy.2016.09.039
   Cui XL, 2021, ECOL INFORM, V66, DOI 10.1016/j.ecoinf.2021.101476
   Das M, 2023, GEOSCI FRONT, V14, DOI 10.1016/j.gsf.2022.101489
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   Datola G, 2022, ECOL MODEL, V465, DOI 10.1016/j.ecolmodel.2021.109851
   Dominkovic DF, 2020, ENERGY, V197, DOI 10.1016/j.energy.2020.117243
   Espoir DK, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107332
   Fakher HA, 2023, ENERGY, V263, DOI 10.1016/j.energy.2022.125660
   Fang CL, 2015, J GEOGR SCI, V25, P1003, DOI 10.1007/s11442-015-1216-5
   Fang K, 2015, ECOL ECON, V114, P218, DOI 10.1016/j.ecolecon.2015.04.008
   Fang Y.L., 2022, PROG GEOGR, V41, P214, DOI [10.18306/dlkxjz.2022.02.003, DOI 10.18306/DLKXJZ.2022.02.003]
   Fei XF, 2022, J CLEAN PROD, V341, DOI 10.1016/j.jclepro.2022.130942
   Gerges F, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160187
   Global Footprint Network, 2022, Edition of the National Footprint and Biocapa-city Accounts
   Han WY, 2018, ENERGY, V155, P887, DOI 10.1016/j.energy.2018.05.073
   Hassen S, 2022, UTIL POLICY, V79, DOI 10.1016/j.jup.2022.101445
   He YH, 2021, SCI TOTAL ENVIRON, V792, DOI 10.1016/j.scitotenv.2021.148430
   Hong JM, 2022, J CLEAN PROD, V368, DOI 10.1016/j.jclepro.2022.133184
   Hu Q, 2021, J CLEAN PROD, V300, DOI 10.1016/j.jclepro.2021.126816
   Hu YA, 2022, J CLEAN PROD, V375, DOI 10.1016/j.jclepro.2022.134062
   Ikram M, 2021, SUSTAIN ENERGY TECHN, V47, DOI 10.1016/j.seta.2021.101460
   Jiang NN, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107298
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Kurniawan TA, 2023, J CLEAN PROD, V382, DOI 10.1016/j.jclepro.2022.135296
   Lade SJ, 2020, NAT SUSTAIN, V3, P119, DOI 10.1038/s41893-019-0454-4
   Lang Ting-ting, 2022, Journal of Resources and Ecology, V13, P999, DOI 10.5814/j.issn.1674-764x.2022.06.005
   Liu LN, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134400
   Liu WY, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105109
   Liu X, 2022, J ENVIRON MANAGE, V324, DOI 10.1016/j.jenvman.2022.116353
   Long XL, 2019, ECOL ECON, V159, P157, DOI 10.1016/j.ecolecon.2019.01.002
   Luo XX, 2023, SYST RES BEHAV SCI, V40, P235, DOI 10.1002/sres.2832
   Lyu Y, 2023, SCI TOTAL ENVIRON, V854, DOI 10.1016/j.scitotenv.2022.158599
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Mejjad N, 2022, TOUR MANAG PERSPECT, V44, DOI 10.1016/j.tmp.2022.101007
   Miao Z, 2019, ENERG ECON, V83, P501, DOI 10.1016/j.eneco.2019.07.002
   Nguyen CT, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103882
   Niccolucci V, 2009, ECOL MODEL, V220, P2819, DOI 10.1016/j.ecolmodel.2009.07.018
   Oh RRY, 2018, LANDSCAPE URBAN PLAN, V169, P115, DOI 10.1016/j.landurbplan.2017.08.014
   Qi GZ, 2023, J ENVIRON MANAGE, V325, DOI 10.1016/j.jenvman.2022.116671
   Resilience Alliance, 2007, Sci. Total Environ., V859, DOI [10.1016/j.scitotenv.2022.160187, DOI 10.1016/J.SCITOTENV.2022.160187]
   Ressler J.D., 2022, Int. J. Disaster Risk Reduc., V82
   Rockström J, 2023, NAT SUSTAIN, V6, P897, DOI 10.1038/s41893-023-01105-9
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Sanchez AX, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0074-z
   Schlör H, 2018, APPL ENERG, V210, P382, DOI 10.1016/j.apenergy.2017.02.026
   Serbanica C, 2023, CITIES, V134, DOI 10.1016/j.cities.2022.104177
   Sharifi A, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104910
   Shi CC, 2022, J CLEAN PROD, V372, DOI 10.1016/j.jclepro.2022.133737
   Song JL, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103698
   Song XQ, 2021, HABITAT INT, V107, DOI 10.1016/j.habitatint.2020.102296
   Sumbo DK, 2023, LAND USE POLICY, V126, DOI 10.1016/j.landusepol.2022.106534
   Sun J, 2024, SUSTAIN CITIES SOC, V100, DOI 10.1016/j.scs.2023.105058
   Sun K, 2022, J CLEAN PROD, V381, DOI 10.1016/j.jclepro.2022.135127
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Therrien MC, 2019, ENVIRON SCI POLICY, V93, P1, DOI 10.1016/j.envsci.2018.11.016
   Tsuchiya K, 2021, J CLEAN PROD, V292, DOI 10.1016/j.jclepro.2021.126043
   Usman M, 2022, SCI TOTAL ENVIRON, V841, DOI 10.1016/j.scitotenv.2022.156662
   Wang HH, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-52191-4
   Wang KH, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134794
   Wang KW, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104783
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Wang XX, 2020, AGR WATER MANAGE, V240, DOI 10.1016/j.agwat.2020.106297
   Wang YC, 2023, SCI TOTAL ENVIRON, V856, DOI 10.1016/j.scitotenv.2022.159102
   Wu FF, 2021, J CLEAN PROD, V295, DOI 10.1016/j.jclepro.2021.126486
   Wu J, 2022, RESOUR POLICY, V75, DOI 10.1016/j.resourpol.2021.102491
   Wu Q, 2022, SCI TOTAL ENVIRON, V853, DOI 10.1016/j.scitotenv.2022.158444
   Xia CH, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104223
   Yan R, 2021, J ENVIRON MANAGE, V287, DOI 10.1016/j.jenvman.2021.112252
   Yang YY, 2022, J CLEAN PROD, V330, DOI 10.1016/j.jclepro.2021.129802
   Yao CY, 2023, J ENVIRON MANAGE, V330, DOI 10.1016/j.jenvman.2022.117166
   Yao XC, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134854
   Ye CS, 2022, GEOGR SUSTAIN, V3, P299, DOI 10.1016/j.geosus.2022.09.004
   Zhang XL, 2007, CATENA, V69, P16, DOI 10.1016/j.catena.2006.04.020
   Zhang Y, 2022, J CLEAN PROD, V373, DOI 10.1016/j.jclepro.2022.133874
   Zhao JQ, 2022, APPL ENERG, V325, DOI 10.1016/j.apenergy.2022.119927
   Zhao L., 2021, CHINA POPUL RESOUR E, V19, P283, DOI [10.1016/j.cjpre.2021.12.031, DOI 10.1016/J.CJPRE.2021.12.031]
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhu ZY, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104274
NR 94
TC 6
Z9 6
U1 17
U2 31
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 MAY
PY 2024
VL 106
AR 107518
DI 10.1016/j.eiar.2024.107518
EA APR 2024
PG 16
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA PW8N0
UT WOS:001217211000001
DA 2025-04-22
ER

PT J
AU Mu, XF
   Fang, CL
   Yang, ZQ
   Guo, XM
AF Mu, Xufang
   Fang, Chuanglin
   Yang, Zhiqi
   Guo, Xiaomin
TI Impact of the COVID-19 Epidemic on Population Mobility Networks in the
   Beijing-Tianjin-Hebei Urban Agglomeration from a Resilience Perspective
SO LAND
LA English
DT Article
DE COVID-19 epidemic; network resilience; social network analysis;
   population mobility; Beijing-Tianjin-Hebei (BTH) urban agglomeration
ID CHINA; PATTERNS; FESTIVAL; PROVINCE
AB As an important symbol and carrier of regional social and economic activities, population mobility is a vital force to promote the re-agglomeration and diffusion of social and economic factors. An accurate and timely grasp on the impact of the COVID-19 epidemic on population mobility between cities is of great significance for promoting epidemic prevention and control and economic and social development. This study proposes a theoretical framework for resilience assessment, using centrality and nodality, hierarchy and matching, cluster, transmission, and diversity to measure the impact of the COVID-19 epidemic on population mobility in the Beijing-Tianjin-Hebei (BTH) urban agglomeration in 2020-2022, based on the migration data of AutoNavi and social network analysis. The results show that the COVID-19 epidemic had different impacts on the population network resilience of the BTH urban agglomeration based on the scale and timing. During the full-scale outbreak of the epidemic, strict epidemic prevention and control measures were introduced. The measures, such as social distancing and city and road closure, significantly reduced population mobility in the BTH urban agglomeration, and population mobility between cities decreased sharply. The population mobility network's cluster, transmission, and diversity decreased significantly, severely testing the network resilience. Due to the refinement of the epidemic control measures over time, when a single urban node was impacted, the urban node did not completely fail, and consequently it had little impact on the overall cluster, transmission, and diversity of the population mobility network. Urban nodes at different levels of the population mobility network were not equally affected by the COVID-19 epidemic. The findings can make references for the coordination of epidemic control measures and urban development. It also provides a new perspective for the study of network resilience, and provides scientific data support and a theoretical basis for improving the resilience of BTH urban agglomeration and promoting collaborative development.
C1 [Mu, Xufang; Fang, Chuanglin; Yang, Zhiqi; Guo, Xiaomin] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Mu, Xufang; Fang, Chuanglin; Yang, Zhiqi; Guo, Xiaomin] Univ Chinese Acad Sci, Beijing 100049, 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
RP Fang, CL (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.; Fang, CL (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
EM mouxf.19b@igsnrr.ac.cn; fangcl@igsnrr.ac.cn; yangzq.18b@igsnrr.ac.cn;
   guoxm.20b@igsnrr.ac.cn
RI Fang, Chuanglin/ABF-2458-2020; yang, zhiqi/GZL-3610-2022
OI yang, zhiqi/0000-0001-5003-8507
FU National Natural Science Foundation of China's Innovative Research Group
   Project [42121001]
FX This research was funded by the National Natural Science Foundation of
   China's Innovative Research Group Project (42121001).
CR Ayittey FK, 2020, J MED VIROL, V92, P473, DOI 10.1002/jmv.25706
   Backer JA, 2020, EUROSURVEILLANCE, V25, P10, DOI 10.2807/1560-7917.ES.2020.25.5.2000062
   Barthélemy M, 2011, PHYS REP, V499, P1, DOI 10.1016/j.physrep.2010.11.002
   Belyi A, 2017, INT J GEOGR INF SCI, V31, P1381, DOI 10.1080/13658816.2017.1301455
   García-Palomares JC, 2015, APPL GEOGR, V63, P408, DOI 10.1016/j.apgeog.2015.08.002
   Chen SM, 2020, LANCET, V395, P764, DOI 10.1016/S0140-6736(20)30421-9
   Fang C, 2020, Atlas of China urban agglomeration
   Fang C., 2017, Reform, P54
   Fang YQ, 2020, J MED VIROL, V92, P645, DOI 10.1002/jmv.25750
   Ghinai I, 2020, LANCET, V395, P1137, DOI 10.1016/S0140-6736(20)30607-3
   Giustolisi O, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60151-x
   Huang C, 2020, LANCET, V395, P496, DOI 10.1016/S0140-6736(20)30252-X
   Jia JSS, 2020, NATURE, V582, P389, DOI [10.1038/s41586-020-2284-y, 10.1109/LGRS.2020.3028443]
   Jiang S, 2017, IEEE T BIG DATA, V3, P208, DOI 10.1109/TBDATA.2016.2631141
   Kraemer MUG, 2020, SCIENCE, V368, P493, DOI 10.1126/science.abb4218
   Laharotte PA, 2015, IEEE T INTELL TRANSP, V16, P1439, DOI 10.1109/TITS.2014.2367165
   Lai JB, 2020, J URBAN PLAN DEV, V146, DOI 10.1061/(ASCE)UP.1943-5444.0000581
   Lin JP, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10090582
   Liu T, 2015, J GEOGR SCI, V25, P236, DOI 10.1007/s11442-015-1165-z
   Liu X, 2015, J TRANSP GEOGR, V43, P78, DOI 10.1016/j.jtrangeo.2015.01.016
   Lovejoy WS, 2003, SOC NETWORKS, V25, P333, DOI 10.1016/j.socnet.2003.10.001
   [孟浩 Meng Hao], 2019, [经济地理, Economic Geography], V39, P1
   Ning Y, 2020, GLOB HEALTH RES POL, V5, DOI 10.1186/s41256-020-00161-4
   Pan JH, 2019, CITIES, V94, P55, DOI 10.1016/j.cities.2019.05.022
   [彭翀 Peng Chong], 2018, [地理研究, Geographical Research], V37, P1193
   Pokhrel S., 2021, Higher Education for the Future, V8, P133, DOI [DOI 10.1177/2347631120983481, DOI 10.1177/234763112098348]
   Shen J, 2020, ENVIRON POLLUT, V266, DOI 10.1016/j.envpol.2020.115291
   Sun HH, 2016, NAT HAZARDS, V82, P39, DOI 10.1007/s11069-016-2178-3
   Tajani F, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11120592
   Wang G.X., 2012, CHINESE J POPULATION, P2
   Wei S, 2020, HUM SOC SCI COMMUN, V7, DOI [10.1057/s41599-020-00633-5, 10.1038/s41438-020-0268-6]
   [魏石梅 Wei Shimei], 2021, [地理学报, Acta Geographica Sinica], V76, P1394
   Wu JT, 2020, LANCET, V395, P689, DOI 10.1016/S0140-6736(20)30260-9
   [谢永顺 Xie Yongshun], 2020, [地理科学进展, Progress in Geography], V39, P1619
   Xu J, 2017, APPL GEOGR, V87, P85, DOI 10.1016/j.apgeog.2017.07.014
   Xu WW, 2021, LAND-BASEL, V10, DOI 10.3390/land10101036
   Xu X, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59616-w
   Xu YL, 2022, ECON RES-EKON ISTRAZ, V35, P2386, DOI 10.1080/1331677X.2021.1947339
   Yang ZQ, 2021, INT J APPL EARTH OBS, V103, DOI 10.1016/j.jag.2021.102479
   Zhang WL, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102640
   Zhao L., 2020, J CCPS CAG, V24, P14
   [赵序茅 Zhao Xumao], 2020, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V35, P248
   [赵梓渝 Zhao Ziyu], 2017, [地理科学进展, Progress in Geography], V36, P952
   Zhong C, 2014, INT J GEOGR INF SCI, V28, P2178, DOI 10.1080/13658816.2014.914521
   [朱宇 Zhu Yu], 2016, [地理科学, Scientia Geographica Sinica], V36, P820
   Zhu Y, 2014, HABITAT INT, V42, P147, DOI 10.1016/j.habitatint.2013.12.002
NR 46
TC 10
Z9 10
U1 9
U2 98
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAY
PY 2022
VL 11
IS 5
AR 675
DI 10.3390/land11050675
PG 23
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 1P3BF
UT WOS:000801887700001
OA gold
DA 2025-04-22
ER

PT J
AU Zhao, ZY
   Zhou, XS
   Zheng, YH
   Meng, TG
   Fang, DP
AF Zhao, Zeyu
   Zhou, Xiaoshan
   Zheng, Yuhan
   Meng, Tianguang
   Fang, Dongping
TI Enhancing infrastructural dynamic responses to critical residents' needs
   for urban resilience through machine learning and hypernetwork analysis
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Residents' needs; Urban resilience; Human-infrastructure interactions;
   Hypernetwork analysis
AB The increasing frequency of extreme weather events poses ever greater challenges to urban resilience and residents' quality of life. Despite a growing trend advocating for an anthropocentric approach to urban resilience, there remains an inadequate understanding of the evolving hierarchical needs of residents during post-disaster periods, especially considering the interplay with infrastructure service restoration. This study aims to address the gap by elucidating how emergency governance and urban infrastructure repairs can effectively address critical residents' needs, providing empirical insights for improved resource allocation in infrastructure rushrepair scenarios. First, we categorize residents' needs into three layers (safety and health, social livelihood and civic engagement) using Latent Dirichlet Allocation topic modeling. Subsequently, we present an urban resilience assessment framework that traces the recovery of residents' needs alongside dynamic infrastructural functionality restoration, benchmarking against pre-disaster levels. Additionally, hypernetwork analyses are adopted to identify critical and evolving patterns of residents' post-disaster needs over time. The robustness of our proposed framework is validated through its application to a dataset comprising 220,567 records from residents' appeals during three recurrent rainfall events in Beijing. Theoretically, this study models the dynamic interactions between residents' needs and infrastructure response during urban post-disaster recovery. Practically, the pinpointed critical needs guide efficient infrastructure rush-repairs and proactive disaster prevention in infrastructure maintenance.
C1 [Zhao, Zeyu; Fang, Dongping] Tsinghua Univ, Dept Construct Management, Beijing, Peoples R China.
   [Zhou, Xiaoshan] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI USA.
   [Zheng, Yuhan] Univ Galway, Dept Geog, Galway, Ireland.
   [Meng, Tianguang] Tsinghua Univ, Dept Polit Sci, Beijing, Peoples R China.
C3 Tsinghua University; University of Michigan System; University of
   Michigan; Ollscoil na Gaillimhe-University of Galway; Tsinghua
   University
RP Fang, DP (corresponding author), Tsinghua Univ, Dept Construct Management, Beijing, Peoples R China.
EM fangdp@tsinghua.edu.cn
RI zhao, zeyu/GQB-3165-2022; Zheng, Yuhan/X-3266-2018
OI Zheng, Yuhan/0000-0002-4136-0673
FU National Natural Science Foundation of China (NSFC) [71974106, 72242107]
FX This material is based on work supported by the National Natural Science
   Foundation of China (NSFC) under Grant No. 71974106 and 72242107. 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. The author is solely responsible for the
   content of this paper. The authors are thankful to the experts for
   providing valuable advice on this work.
CR [Anonymous], 2018, ISO 37120:2018 Sustainable cities and communities - Indicators for city services and quality of life, DOI DOI 10.3969/J.ISSN.1674-5698.2019.12.003
   Battiston F, 2020, PHYS REP, V874, P1, DOI 10.1016/j.physrep.2020.05.004
   BEVERIDGE AA, 1976, POLIT SCI QUART, V91, P529, DOI 10.2307/2148954
   Bi H, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102499
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Capela FD, 2019, CITIES, V93, P72, DOI 10.1016/j.cities.2019.04.009
   Cardoso R, 2022, URBAN STUD, V59, P2638, DOI 10.1177/00420980211045571
   Chester M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00016-y
   Cimellaro GP, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000204
   Dargin JS, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0234381
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   Diener E, 2018, NAT HUM BEHAV, V2, P253, DOI 10.1038/s41562-018-0307-6
   Dube E, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101401
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Feng YF, 2019, AAAI CONF ARTIF INTE, P3558
   Fernandez G, 2019, PROG DISASTER SCI, V1, DOI 10.1016/j.pdisas.2019.100003
   Gao Y, 2023, IEEE T PATTERN ANAL, V45, P3181, DOI 10.1109/TPAMI.2022.3182052
   Gilbert S. W., 2015, NIST SP 1197
   Hartmann AK, 2014, EUR PHYS J B, V87, DOI 10.1140/epjb/e2014-50078-4
   Hayashi Y., 2016, Resilience for empowering the regions-National grand design making good use of traditional knowledge and big data
   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
   Hong B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22160-w
   Huang YJ, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102719
   ISO, 2019, ISO 37123
   Jayaram N, 2008, WATER RESOUR RES, V44, DOI 10.1029/2006WR005316
   Kong JJ, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104510
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Li W, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104631
   Liu YX, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104314
   Marans RW, 2015, HABITAT INT, V45, P47, DOI 10.1016/j.habitatint.2014.06.019
   Maslow AH, 1943, PSYCHOL REV, V50, P370, DOI 10.1037/h0054346
   Max-Neef M., 1991, Human Scale Development: Conception, Application and Further Reflections
   McClymont K, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103729
   McCrea Roderick., 2007, Urban Quality of Life: Linking Objective Dimensions and Subjective Evaluations of the Urban Environment
   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
   Mouratidis K, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103229
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Pan SJ, 2022, INT J DISAST RISK RE, V79, DOI 10.1016/j.ijdrr.2022.103169
   Peng X., 2020, Journal of Peking University. Health sciences, V56, P721
   Podesta C, 2021, J R SOC INTERFACE, V18, DOI 10.1098/rsif.2021.0158
   Roy KC, 2019, EPJ DATA SCI, V8, DOI 10.1140/epjds/s13688-019-0196-6
   Salimi M, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101948
   Shekhar H, 2019, HABITAT INT, V87, P66, DOI 10.1016/j.habitatint.2019.04.007
   Stokols D, 2013, ECOL SOC, V18, DOI 10.5751/ES-05301-180107
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   The People's Government of Beijing City, 2021, Report of flood season in Beijing City in 2021
   UN Women, 2015, The Oxford handbook of women, peace, and security
   Urquiza A, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001508
   Wang B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102884
   Wey WM, 2018, HABITAT INT, V82, P9, DOI 10.1016/j.habitatint.2018.10.002
   Wu WN, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102167
   Yang ZY, 2023, SAFETY SCI, V160, DOI 10.1016/j.ssci.2022.106049
   Yao F, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102448
   Ye X, 2023, J PLAN LIT, V38, P187, DOI 10.1177/08854122221137861
   Yuan FX, 2021, SAFETY SCI, V134, DOI 10.1016/j.ssci.2020.105079
   Zhao BB, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104889
   Zhao C, 2018, INT J CRIT INFR PROT, V22, P100, DOI 10.1016/j.ijcip.2018.06.002
   Zhao ZY, 2022, EARTHQ ENG RESIL, V1, P196, DOI 10.1002/eer2.22
   Zheng FF, 2015, NAT CLIM CHANGE, V5, P389, DOI 10.1038/nclimate2579
NR 63
TC 10
Z9 10
U1 69
U2 92
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 1
PY 2024
VL 106
AR 105366
DI 10.1016/j.scs.2024.105366
EA MAR 2024
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 C5O1V
UT WOS:001289849000001
DA 2025-04-22
ER

PT J
AU Balsas, CJL
AF Balsas, Carlos J. L.
TI Downtown resilience: A review of recent (re)developments in Tempe,
   Arizona
SO CITIES
LA English
DT Review
DE Resilience; Downtown; City center; Urban revitalization; Retail planning
ID REVITALIZATION; CRISIS
AB Urban development is very susceptive to economic cycles. Can resilience theory be used to analyze these cycles and to find appropriate answers to minimize their impacts? Business rotation is part of a healthy economy; however, prolonged phases of devaluation can have serious economic consequences. The purpose of this paper is to apply resilience theory to the area of urban revitalization in a US southwest context and to identify sets of recommendations and traps to be avoided in future urban revitalization interventions. The main argument is that the creation of two new centralities in Tempe has weakened the vibrancy of the Mill Avenue district, even despite the new streetscape improvements and the light rail induced development efforts on Apache Boulevard. The key finding is that downtowns need to be nurtured through the use of urban design practices and community-oriented planning decisions; otherwise they can lose critical elements that make them livable. (C) 2012 Elsevier Ltd. All rights reserved.
RP Balsas, CJL (corresponding author), POB 27033, Tempe, AZ 85285 USA.
EM cbusa06@yahoo.com
OI Balsas, Ph.D., AICP, Carlos J. L./0000-0002-4714-9879
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
   Alexander C., 1977, A pattern language
   Allan F., 2010, J COMMUNICATION INQU, V34, P366
   [Anonymous], 2006, PHOENIX BUSINES 0324
   [Anonymous], ATLANTIC MONTHLY
   [Anonymous], AM NEW DOWNTOWNS
   Arizona Town Hall, 2009, 94 AR TOWN HALL HER
   Atkinson-Palombo C, 2010, URBAN STUD, V47, P2409, DOI 10.1177/0042098009357963
   Atkinson-Palombo C, 2010, CITIES, V27, P77, DOI 10.1016/j.cities.2009.10.001
   Balsas C., 2008, 2 CINCCI INT C COMM
   Balsas CJL, 2007, J URBAN DES, V12, P231, DOI 10.1080/13574800701306328
   Barata-Salgueiro T., 2011, RETAIL PLANNING RESI, P19
   BARRETA Joao., 2009, Prospectiva e Planeamento, V16, P103
   Bendick M., 1993, Journal of Planning Literature, V8, P3
   Birch EL, 2009, ANN AM ACAD POLIT SS, V626, P134, DOI 10.1177/0002716209344169
   Boin A., 2014, Designing Resilience: Preparing for Extreme Events
   Bowman A., 2004, TERRA INCOGNITA VANC
   Briguglio L., 2008, 200855 UNU WIDER
   Brinegar SJ, 2000, URBAN GEOGR, V21, P497, DOI 10.2747/0272-3638.21.6.497
   Buchholz J., 2011, PHOENIX BUSINESS J, V3, P61
   Campo D, 2008, J URBAN DES, V13, P291, DOI 10.1080/13574800802319543
   Censky A., 2007, ARIZONA REPUBLI 0928
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   CHUNG ChuihuaJudy., 2002, The Harvard Design School Guide to Shopping, p800 s. ISBN
   City of Tempe, 2003, GEN PLAN
   City of Tempe, 1983, U HAYD BUTT RED PLAN
   City of Tempe, 2004, 3 DEC TEMP DOWNT RED
   City of Tempe, 1996, CONC PLAN RED SE QUA
   Clark G., 2010, Resilient Cities: Surviving in a New World. A ULI Urban Investment Network Report
   Collins WilliamS., 2005, EMERGING METROPOLIS
   Conrad S.T., 2010, Successful urban mixed-use development: A cautionary tale of two cities
   Crump J, 2008, URBAN GEOGR, V29, P745, DOI 10.2747/0272-3638.29.8.745
   Cumming GS, 2011, SPATIAL RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS, P1, DOI 10.1007/978-94-007-0307-0
   Cummings, 2005, U URBAN DEV CASE STU, P147
   Davis L., 2005, NEXT AM CITY
   dos Santos FT, 2011, EUR PLAN STUD, V19, P1517, DOI 10.1080/09654313.2011.533515
   Downtown Tempe Community, 2010, DOWNT TEMP COMM 2009
   Downtown Tempe Community, 2010, EV MILL AV DISTR
   Dunham-Jones Ellen., 2009, RETROFITTING SUBURBI
   Eight Arizona PBS, 2009, HOR EP MILL AV DEV
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   Faulk Dagney., 2006, REV POLICY RES, V23, P625, DOI DOI 10.1111/J.1541-1338.2006.00219.X
   Filion P, 2004, J AM PLANN ASSOC, V70, P328, DOI 10.1080/01944360408976382
   Fink J.H., 2011, SUSTAINABILITY AMERI, P69
   Florida R. C., 2002, RISE CREATIVE CLASS
   Freestone Robert., 2000, Urban Planning in a Changing World: The Twentieth Century Experience
   Friedman D., 2009, Journal of Higher Education Outreach and Engagement, V13, P89
   Gleeson B, 2008, URBAN STUD, V45, P2653, DOI 10.1177/0042098008098198
   Gober Patricia., 2006, METROPOLITAN PHOENIX
   Grant J., 2003, PLAN CANADA, P23
   Greco J., 2009, PLANNING, V75, P10
   Gruen Victor., 1964, HEART OUR CITIES THE
   Gumprecht Blake., 2008, AM COLL TOWN
   Guy C., 2007, Planning for retail development
   Hackworth J, 1999, J PLAN EDUC RES, V18, P293, DOI 10.1177/0739456X9901800402
   Handmer J., 1996, Organization Environment, V9, P482, DOI [10.1177/108602669600900403, DOI 10.1177/108602669600900403]
   Healy P., 2010, INITIATIVE COLLABORA, P1
   Heid J., 2011, URBAN LAND, V70, P36
   Hollander JB, 2011, SUNBURNT CITIES: THE GREAT RECESSION, DEPOPULATION, AND URBAN PLANNING IN THE AMERICAN SUNBELT, P1
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   James K., 2010, GHOST TOWNS SW
   Judd DennisR., 2011, CITY REVISITED URBAN
   Lang R., 2008, J URBANISM, V1, P77
   Leinberger ChristopherB., 2008, The Option of Urbanism
   Lovering J, 2009, INT PLAN STUD, V14, P1, DOI 10.1080/13563470902857504
   Martin R, 2011, J ECON GEOGR, V11, P587, DOI 10.1093/jeg/lbq024
   McBee S., 1992, DOWNTOWN REDEVELOPME
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   Oberle AP, 2008, GEOGR REV, V98, P171, DOI 10.1111/j.1931-0846.2008.tb00295.x
   Oc Taner., 1997, SAFER CITY CTR REVIV
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Pack JR, 2005, J A JOHNSON METRO S, P1
   Padilla C, 2009, INT J RETAIL DISTRIB, V37, P7, DOI 10.1108/09590550910927135
   Pang V.O., 1993, Equity Excellence in Education, V26, P46
   Porter ME, 1997, ECON DEV Q, V11, P11, DOI 10.1177/089124249701100102
   Pryor S, 2005, INT J RETAIL DISTRIB, V33, P806, DOI 10.1108/09590550510629400
   Reiter W., 2011, URBAN LAND, V70, P65
   Robertson K.A., 1997, PLAN PERSPECT, V12, P383, DOI 10.1080/026654397364591
   Rodin J, 2005, J AM PLANN ASSOC, V71, P237, DOI 10.1080/01944360508976696
   Ross A, 2012, BIRD FIRE LESSON WOR
   Russell R., 2007, THESIS ARIZONA STATE
   SALGUEIRO T., 2011, Retail Planning for the resilient city, consumption and urban regeneration
   Salingaros N.A., 2000, Journal of Urban Design, P291
   Salingaros N.A., 2000, ARQ-ARCHIT RES Q, V4, P149, DOI [10.1017/S1359135500002591, DOI 10.1017/S1359135500002591]
   Sargent S., 2002, THESIS ARIZONA STATE
   Schipper Janine., 2008, Disappearing desert: The growth of Phoenix and the culture of sprawl
   Seasons M., 2003, PLAN CANADA, P26
   Seideman K, 2004, REVITALIZING COMMERC
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Sinn H.-W., 2010, Casino Capitalism: How the Financial Crisis Came About and What Needs to Be Done Now
   Stern R., 2009, PHOENIXNEWTIMES 1015, P36
   Stern R., 2009, PHOENIXNEWTIMES 1015, P22
   Stern R., 2009, PHOENIXNEWTIMES 1015, P31
   Stern R., 2009, PHOENIXNEWTIMES 1015, P24
   Stern R., 2009, PHOENIXNEWTIMES 1015, P20
   Stern R., 2009, PHOENIXNEWTIMES 1015, P29
   Stern R., 2009, PHOENIXNEWTIMES 1015, P16
   Stern R., 2009, PHOENIXNEWTIMES 1015, P26
   Stern Robert A.M., 2009, PHOENIXNEWTIMES 1015, P33
   Stout M., 2010, PUBLIC ADM MANAGEMEN, V15, P46
   Sunnucks M., 2011, PHOENIX BUSINESS J, P3
   Sunnucks M., 2011, PHOENIX BUSINESS J, V9, P40
   Sutton SA, 2010, ECON DEV Q, V24, P352, DOI 10.1177/0891242410370679
   VanderMeer Philip., 2010, DESERT VISIONS MAKIN
   Vanneman B., 2010, PLANNING, V76, P28
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Warnaby G, 2009, CITIES, V26, P287, DOI 10.1016/j.cities.2009.06.002
   Whyte WilliamH., 1988, City Rediscovering the Center, VFirst
   Woodfill D., 2008, MALL WAR MESA RIVERV
   Wrigley N, 2011, ENVIRON PLANN A, V43, P2337, DOI 10.1068/a44270
   Zautra A, 2008, COMMUNITY DEV, V39, P130, DOI 10.1080/15575330809489673
   [No title captured]
NR 113
TC 28
Z9 31
U1 2
U2 68
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 158
EP 169
DI 10.1016/j.cities.2012.10.002
PG 12
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA 285IA
UT WOS:000329386100017
DA 2025-04-22
ER

PT J
AU Du, CY
   Ouyang, M
   Zhang, H
   Wang, B
   Wang, NY
AF Du, Chongyang
   Ouyang, Min
   Zhang, Hui
   Wang, Bo
   Wang, Naiyu
TI Resilience patterns of urban road networks under the worst-case
   localized disruptions
SO RISK ANALYSIS
LA English
DT Article
DE localized disruption; resilience pattern; urban road network; worst-case
   scenario
ID MATHEMATICAL FRAMEWORK; ACCESSIBILITY; INFRASTRUCTURES; RELIABILITY;
   HEALTH
AB Recent events, including COVID-19, extreme floods, and explosion accidents, commonly induced localized closures and disruptions of urban road networks (URNs), resulting in significant impacts on human mobility and socio-economic activities. Existing studies on URN resilience to those events mainly took few cases for empirical studies, limiting our understanding on the URN resilience patterns across different cities. By conducting a large-scale nationwide resilience analysis of URNs in 363 cities in mainland China, this study attempts to uncover the resilience patterns of URNs against the worst-case single (SLDs) and multiple localized disruptions (MLDs). Results show that the distance from the worst-case SLD to the city center would be less than 5 km in 62.3% cities, as opposed to more than 15 km in 14.3% cities. Moreover, the average road network resilience of cities in western China could be 7% and 13% smaller than that of the eastern cities under the worst-case SLDs and MLDs, respectively. This inequality in the worst-case resilience is partly attributable to variations in urban socio-economic, infrastructure-related, and topographic factors. These findings could inspire nationwide pre-disaster mitigation strategies to cope with localized disruptions and help transfer insights for mitigation strategies against disruptive events across cities.
C1 [Du, Chongyang; Ouyang, Min; Zhang, Hui; Wang, Bo] 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, Peoples R China.
   [Wang, Naiyu] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China.
C3 Huazhong University of Science & Technology; Huazhong University of
   Science & Technology; Zhejiang University
RP Ouyang, M (corresponding author), Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China.
EM min.ouyang@hust.edu.cn
RI Ouyang, Min/L-3347-2019
OI Du, Chongyang/0000-0002-0233-8027
FU The authors would like to thank the reviewers for their valuable
   comments and suggestions that helped to improve the article. This
   research is jointly supported by the National Natural Science Foundation
   of China (72074089, 51938004, 71821001, and 72071088 [72074089,
   51938004, 71821001, 72071088]; National Natural Science Foundation of
   China
FX The authors would like to thank the reviewers for their valuable
   comments and suggestions that helped to improve the article. This
   research is jointly supported by the National Natural Science Foundation
   of China (72074089, 51938004, 71821001, and 72071088). 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 Abdulla B, 2021, J COMPUT CIVIL ENG, V35, DOI 10.1061/(ASCE)CP.1943-5487.0000938
   [Anonymous], 2020, press release
   Barthélemy M, 2011, PHYS REP, V499, P1, DOI 10.1016/j.physrep.2010.11.002
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   BBC News, 2021, BBC NEWS        1115
   Berezin Y, 2015, SCI REP-UK, V5, DOI 10.1038/srep08934
   Beria P, 2017, J TRANSP GEOGR, V62, P66, DOI 10.1016/j.jtrangeo.2017.05.006
   Bettencourt L, 2010, NATURE, V467, P912, DOI 10.1038/467912a
   Bettencourt LMA, 2013, SCIENCE, V340, P1438, DOI 10.1126/science.1235823
   Boeing G, 2017, COMPUT ENVIRON URBAN, V65, P126, DOI 10.1016/j.compenvurbsys.2017.05.004
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chacon-Hurtado D, 2020, J TRANSP GEOGR, V84, DOI 10.1016/j.jtrangeo.2020.102695
   Chen XQ, 2017, FRONT ENG MANAG, V4, P388, DOI 10.15302/J-FEM-2017046
   Christodoulou A, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00619-7
   Cui MY, 2018, TRANSPORTATION, V45, P1029, DOI 10.1007/s11116-017-9837-4
   Dong SJ, 2021, CITIES, V117, DOI 10.1016/j.cities.2021.103318
   Du C., VULNERABILITY UNPUB
   Duan YY, 2013, COMPUT ENVIRON URBAN, V41, P75, DOI 10.1016/j.compenvurbsys.2013.03.002
   Ertugay K, 2016, INT J DISAST RISK RE, V17, P49, DOI 10.1016/j.ijdrr.2016.03.005
   Fan C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70524-x
   Fang YP, 2021, IEEE T ENG MANAGE, V68, P452, DOI 10.1109/TEM.2019.2902916
   Ganin AA, 2019, TRANSPORT RES C-EMER, V100, P318, DOI 10.1016/j.trc.2019.01.014
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gao L, 2019, PHYSICA A, V527, DOI 10.1016/j.physa.2019.121071
   Golla APS, 2020, TRANSPORT RES D-TR E, V86, DOI 10.1016/j.trd.2020.102439
   Guidotti R, 2017, STRUCT SAF, V65, P12, DOI 10.1016/j.strusafe.2016.12.001
   Henan Economic Daily, 2021, HENAN EC DAILY  0720
   Jenelius E, 2015, COMPUT ENVIRON URBAN, V49, P136, DOI 10.1016/j.compenvurbsys.2014.02.003
   Jenelius E, 2012, TRANSPORT RES A-POL, V46, P746, DOI 10.1016/j.tra.2012.02.003
   Jiangxia's COVID-19 Prevention and Control Headquarters, 2022, RESTR JIANGX DISTR
   Johansson J, 2010, RELIAB ENG SYST SAFE, V95, P1335, DOI 10.1016/j.ress.2010.06.010
   Kalapala V, 2006, PHYS REV E, V73, DOI 10.1103/PhysRevE.73.026130
   Kasmalkar IG, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba2423
   Kirkley A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04978-z
   Koos D., 2008, 200806 ISRIC FAO WOR
   Laibin City Administration, 2022, WAT URB AR LAIB CIT
   Lee M, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-02374-7
   Li RQ, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01882-w
   Ling S, 2022, FRONT ENG MANAG, V9, P16, DOI 10.1007/s42524-021-0162-4
   Liu XM, 2022, PHYS REP, V971, P1, DOI 10.1016/j.physrep.2022.04.002
   Loreti S, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-04927-3
   Martín B, 2021, TRANSPORT RES D-TR E, V95, DOI 10.1016/j.trd.2021.102851
   Min OY, 2017, EUR J OPER RES, V262, P1072, DOI 10.1016/j.ejor.2017.04.022
   Ministry of Civil Affairs, 2020, ADM DIV PEOPL REP CH
   Morelli AB, 2021, TRANSPORT RES D-TR E, V93, DOI 10.1016/j.trd.2021.102770
   Nelson A., 2008, HOLE FILLED SRTM GLO
   Newman M, 2018, NETWORKS INTRO, DOI [10.1093/acprof:oso/9780199206650.001.0001, 10.1162/artlr00062, DOI 10.1093/ACPROF:OSO/9780199206650.001.0001]
   Ouyang M, 2017, COMPUT-AIDED CIV INF, V32, P909, DOI 10.1111/mice.12252
   Papilloud T, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101548
   Patterson SA, 2007, RELIAB ENG SYST SAFE, V92, P1183, DOI 10.1016/j.ress.2006.08.004
   Pfiester LM, 2021, J TRANSP GEOGR, V95, DOI 10.1016/j.jtrangeo.2021.103151
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Reggiani A, 2011, NETW SPAT ECON, V11, P577, DOI 10.1007/s11067-011-9155-x
   Santos JR, 2021, ENVIRON PLAN B-URBAN, V48, P1091, DOI 10.1177/2399808321999318
   Schiavina M., 2019, GHS population grid multitemporal (1975-1990-2000-2015), DOI DOI 10.2905/0C6B9751-A71F-4062-830B-43C9F432370F
   Schneider S, 2009, NATURE, V458, P1104, DOI 10.1038/4581104a
   Serdar MZ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212367
   Serok N, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-17404-8
   Shao S, 2015, NEW J PHYS, V17, DOI 10.1088/1367-2630/17/2/023049
   Shi Y, 2022, INT J DISAST RISK RE, V74, DOI 10.1016/j.ijdrr.2022.102919
   Sun CS, 2018, TRANSPORT RES B-METH, V117, P101, DOI 10.1016/j.trb.2018.08.013
   Tate E, 2021, NAT HAZARDS, V106, P435, DOI 10.1007/s11069-020-04470-2
   van Ginkel KCH, 2021, NAT HAZARD EARTH SYS, V21, P1011, DOI 10.5194/nhess-21-1011-2021
   Wang WP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10063-w
   Xia C, 2020, LANDSCAPE URBAN PLAN, V193, DOI 10.1016/j.landurbplan.2019.103669
   Xue JW, 2022, NAT MACH INTELL, V4, P246, DOI 10.1038/s42256-022-00462-y
   Yin CH, 2018, APPL GEOGR, V92, P50, DOI 10.1016/j.apgeog.2018.01.011
   Yuan F, 2020, CITIES, V96, DOI 10.1016/j.cities.2019.102433
   Zhang H., EFFECT URBAN R UNPUB
   Zhou YM, 2019, TRANSPORT RES E-LOG, V123, P1, DOI 10.1016/j.tre.2019.01.009
NR 70
TC 5
Z9 5
U1 26
U2 82
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0272-4332
EI 1539-6924
J9 RISK ANAL
JI Risk Anal.
PD OCT
PY 2024
VL 44
IS 10
BP 2333
EP 2347
DI 10.1111/risa.14236
EA OCT 2023
PG 15
WC Public, Environmental & Occupational Health; Mathematics,
   Interdisciplinary Applications; Social Sciences, Mathematical Methods
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Mathematics; Mathematical
   Methods In Social Sciences
GA J9U5N
UT WOS:001085661900001
PM 37853542
DA 2025-04-22
ER

PT J
AU Li, K
   Ma, J
   Gao, JL
   Xu, CQ
   Li, WF
   Mao, YB
   Jiang, SG
AF Li, Ke
   Ma, Jie
   Gao, Jianlong
   Xu, Changqing
   Li, Wenfeng
   Mao, Yubin
   Jiang, Shigong
TI Resilience Assessment of Urban Distribution Network Under Heavy Rain: A
   Knowledge- Informed Data-Driven Approach
SO IEEE ACCESS
LA English
DT Article
DE Data-driven; resilience; assessment method; heavy rains; distribution
   network
ID RISK-ASSESSMENT; FLOOD RISK; RAINSTORM; SYSTEM
AB Heavy rains pose a great threat to the reliable and secure power supply of urban distribution networks. A knowledge-informed data-driven resilience assessment approach is proposed to evaluate urban distribution networks' abilities to resist heavy rains. Firstly, the rainstorm waterlogging process is simulated to obtain the rainstorm intensity and rainfall process, providing the input for the data-driven model. Then, input variables are grouped guided by expert knowledge, and a dynamic and static data-driven model is constructed to predict the line outages based on historical data. Finally, the Monte Carlo simulation method integrated with the data-driven model is developed to assess the resilience of urban distribution networks and the number of line outages is selected as the evaluation metric. The effectiveness of the proposed method is sufficiently validated by the historical data of an urban distribution network.
C1 [Li, Ke; Ma, Jie; Gao, Jianlong; Xu, Changqing; Li, Wenfeng; Mao, Yubin] State Grid Henan Power Supply Co, Econ Res Inst, Zhengzhou, Peoples R China.
   [Jiang, Shigong] State Grid Power Supply Co, Econ Res Inst, Beijing, Peoples R China.
RP Gao, JL (corresponding author), State Grid Henan Power Supply Co, Econ Res Inst, Zhengzhou, Peoples R China.
EM jianlonggao123@sina.com
RI gao, jianlong/ABD-1213-2022
FU Headquarters Management Science and Technology Project of State Grid
   Corporation of China [5108-202218280A-2-130-XG]
FX This work was supported by the Headquarters Management Science and
   Technology Project of State Grid Corporation of China under Grant
   5108-202218280A-2-130-XG.
CR Balbastre-Soldevila R, 2019, WATER-SUI, V11, DOI 10.3390/w11040757
   Bie ZH, 2017, P IEEE, V105, P1253, DOI 10.1109/JPROC.2017.2679040
   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]
   Chaudhari S, 2021, ACM T INTEL SYST TEC, V12, DOI 10.1145/3465055
   Cho K., 2014, P 2014 C EMPIRICAL M, DOI DOI 10.3115/V1/D14-1179
   Du Y, 2023, IEEE T POWER DELIVER, V38, P889, DOI 10.1109/TPWRD.2022.3200669
   Erena SH, 2019, NAT HAZARDS, V97, P495, DOI 10.1007/s11069-019-03654-9
   Guikema SD, 2014, IEEE ACCESS, V2, P1364, DOI 10.1109/ACCESS.2014.2365716
   gz.gov.cn, NOT GUANGZH WAT BUR
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/NCLIMATE1911, 10.1038/nclimate1911]
   [黄清雨 Huang Qingyu], 2016, [地球信息科学学报, Journal of Geo-Information Science], V18, P506
   Liu D, 2019, J APPL SCI ENG, V22, P315, DOI 10.6180/jase.201906_22(2).0013
   Liu HB, 2007, IEEE T POWER SYST, V22, P2270, DOI 10.1109/TPWRS.2007.907587
   [刘俊 Liu Jun], 2018, [水科学进展, Advances in Water Science], V29, P898
   Nayak PC, 2005, HYDROL PROCESS, V19, P955, DOI 10.1002/hyp.5553
   Qi WC, 2021, NAT HAZARDS, V108, P31, DOI 10.1007/s11069-021-04715-8
   Ran GQ, 2023, WATER-SUI, V15, DOI 10.3390/w15010156
   Shao ML, 2014, NAT HAZARDS, V71, P1025, DOI 10.1007/s11069-013-0664-4
   Tang LF, 2022, INT J ELEC POWER, V142, DOI 10.1016/j.ijepes.2022.108296
   Tang Y, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032544
   [田甜 Tian Tian], 2022, [电工电能新技术, Advanced Technology of Electrical Engineering and Energy], V41, P80
   Triantali D.G., 2023, APPL SOFT COMPUT, V142
   Wang D, 2021, HYDROL RES, V52, P284, DOI 10.2166/nh.2020.052
   Wang peng-fei, 2021, Water Resources and Power, V39, P22
   Wang YT, 2021, IEEE ACCESS, V9, P155224, DOI 10.1109/ACCESS.2021.3128967
   Wu YN, 2015, NAT HAZARDS, V78, P635, DOI 10.1007/s11069-015-1737-3
   Yang J, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13060899
   Yuan SS, 2020, INT J ELEC POWER, V117, DOI 10.1016/j.ijepes.2019.105711
   Zang YW, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103042
   [曾照洋 Zeng Zhaoyang], 2020, [水科学进展, Advances in Water Science], V31, P29
   Zhang H., 2022, J MUNICIPAL TECHNOL, V40, P243
   [张璐 Zhang Lu], 2020, [电力系统自动化, Automation of Electric Power Systems], V44, P23
   Zhao G, 2019, J HYDROL, V571, P873, DOI 10.1016/j.jhydrol.2019.02.008
   Zhao K, 2023, RELIAB ENG SYST SAFE, V236, DOI 10.1016/j.ress.2023.109246
   Zhao K, 2023, KNOWL-BASED SYST, V262, DOI 10.1016/j.knosys.2022.110203
   Zou Q, 2013, STOCH ENV RES RISK A, V27, P525, DOI 10.1007/s00477-012-0598-5
NR 36
TC 2
Z9 2
U1 11
U2 49
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 2023
VL 11
BP 63741
EP 63750
DI 10.1109/ACCESS.2023.3288341
PG 10
WC Computer Science, Information Systems; Engineering, Electrical &
   Electronic; Telecommunications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Telecommunications
GA L2XD5
UT WOS:001021931000001
OA gold
DA 2025-04-22
ER

PT J
AU Berner, H
   Hurtado, SD
   Gualini, E
AF Berner, Hannah
   Hurtado, Sonia De Gregorio
   Gualini, Enrico
TI Strategies for urban climate adaptation: Pathways towards equitable
   resilience in Barcelona and Berlin
SO CITIES
LA English
DT Article
DE Climate change adaptation; Climate equity; Equitable resilience;
   Experimental urban policy and planning; Barcelona; Berlin
ID POLITICS; JUSTICE
AB The social effectiveness and legitimacy of climate adaptation largely depends on addressing the inequitable impacts of climate change on urban populations. Yet, there is a limited understanding of how cities attempt and succeed in integrating an equity perspective into the rapidly growing field of spatial adaptation strategies. This article explores the integration of climate change adaptation and equity in urban planning. It explores how discourses and concepts on climate equity are impacting and changing urban planning cultures and practices. For this purpose, the cases of Barcelona and Berlin, two progressive 'early adopter' cities are analyzed. Based on a framework highlighting the recognitional, procedural, and distributional dimensions of 'equitable resilience', our analysis shows the diverse approaches by which these cities adopt the dual goals of climate adaptation and equity in planning. The case-studies highlight ambiguities and gaps related to conceptual underpinnings, planning and participation processes, and consistent implementation of equitable resilience measures. However, both cities show a general openness to progressive approaches, such as intersectional perspectives and integration of various policy fields in local measures. The case-studies illustrate how 'equitable resilience' can serve as a catalyst for innovative concepts, robust normative principles, and experimental practices for urban climate policy and planning.
C1 [Berner, Hannah; Gualini, Enrico] Tech Univ Berlin, Berlin, Germany.
   [Hurtado, Sonia De Gregorio] Univ Politecn Madrid, Madrid, Spain.
C3 Technical University of Berlin; Universidad Politecnica de Madrid
RP Gualini, E (corresponding author), Tech Univ Berlin, Berlin, Germany.
EM h.berner@isr.tu-berlin.de; sonia.degregorio@upm.es;
   e.gualini@isr.tu-berlin.de
RI De+Gregorio+Hurtado, Sonia/AAT-3769-2020
CR Amorim-Maia AT, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101053
   Amorim-Maia AT, 2024, ENVIRON POLICY GOV, V34, P256, DOI 10.1002/eet.2075
   Anguelovski I., 2020, Climate justice in a climate changed world. Planning Theory & Practice, V21, P293, DOI 10
   Anguelovski I., 2023, Cities Health, V7, P950, DOI [10.1080/23748834.2023.2207929, DOI 10.1080/23748834.2023.2207929]
   Biesbroek R, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.548
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Chu EK, 2021, CURR OPIN ENV SUST, V51, P85, DOI 10.1016/j.cosust.2021.02.009
   Climate Emergency Declaration, 2024, Climate Emergency Declaration
   Datola G, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104821
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Davoudi Simin., 2016, Governmentality after Neoliberalism, P210
   De Gregorio Hurtado S., 2021, Rethinking sustainability towards a regenerative economy, V15, P65, DOI [10.1007/978-3-030-71819-04, DOI 10.1007/978-3-030-71819-04]
   EEA, 2020, Urban adaptation in Europe-European Environment Agency Publication, DOI [10.2800/324620, DOI 10.2800/324620]
   EEA, 2024, Delivering justice in sustainability transitions-European Environment Agency Briefing
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Evans J, 2016, ROUT RES SUSTAIN URB, P1
   Fiack D, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103235
   Fitzgerald J, 2022, J AM PLANN ASSOC, V88, P508, DOI 10.1080/01944363.2021.2013301
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Gartlinger I, 2025, EUR PLAN STUD, DOI 10.1080/09654313.2025.2475155
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Hoffmann M.J., 2011, CLIMATE GOVERNANCE C
   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]
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jessop B, 1998, INT SOC SCI J, V50, P29, DOI 10.1111/1468-2451.00107
   Jon I, 2020, PLAN THEORY PRACT, V21, P94, DOI 10.1080/14649357.2019.1692896
   King JP, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-021-01870-3
   Loorbach D, 2010, FUTURES, V42, P237, DOI 10.1016/j.futures.2009.11.009
   Malloy JT, 2020, CLIMATIC CHANGE, V160, P1, DOI 10.1007/s10584-020-02705-6
   Markard J, 2012, RES POLICY, V41, P955, DOI 10.1016/j.respol.2012.02.013
   Matin N, 2018, WORLD DEV, V109, P197, DOI 10.1016/j.worlddev.2018.04.020
   McEvoy D, 2013, PLAN PRACT RES, V28, P280, DOI 10.1080/02697459.2013.787710
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   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
   Doost DM, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151813818
   Otto A, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03142-9
   Pietrapertosa F., 2022, SSRN Electronic Journal, DOI [10.2139/ssrn.4086321, DOI 10.2139/SSRN.4086321]
   Policymakers H.-O., 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 H.-O
   Porter L, 2020, PLAN THEORY PRACT, V21, P293, DOI 10.1080/14649357.2020.1748959
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Reckien D, 2017, ENVIRON URBAN, V29, P159, DOI 10.1177/0956247816677778
   Rice JL, 2023, GEOGR JUST SOC TRANS, P1
   Ruiz-Malln I., 2020, Participatory research and planning in practice, P1, DOI [10.1007/978-3-030-28014-71, DOI 10.1007/978-3-030-28014-7_1]
   Satorras M, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102887
   Siders AR, 2017, REG ENVIRON CHANGE, V17, P1801, DOI 10.1007/s10113-017-1153-1
   Strange KF, 2024, CITIES, V144, DOI 10.1016/j.cities.2023.104627
   Sussbauer E., 2016, Klimawandel als widerspenstiges Problem, DOI [10.1007/978-3-658-12706-0, DOI 10.1007/978-3-658-12706-0]
   Swanson K, 2021, URBAN PLAN, V6, P287, DOI 10.17645/up.v6i4.4399
   Turnheim B., 2018, Innovating climate governance: Moving beyond experiments, DOI [DOI 10.1017/9781108277679, 10.1017/9781108277679]
   Warlenius R, 2018, J ENVIRON DEV, V27, P131, DOI 10.1177/1070496517744593
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Yin R. K., 2014, CASE STUDY RES DESIG
   Zografos C, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102613
NR 56
TC 0
Z9 0
U1 5
U2 5
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 2025
VL 161
AR 105836
DI 10.1016/j.cities.2025.105836
EA MAR 2025
PG 13
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA Z9F3T
UT WOS:001441873900001
OA hybrid
DA 2025-04-22
ER

PT J
AU Shim, JH
   Kim, CI
AF Shim, Jae Heon
   Kim, Chun-Il
TI Measuring Resilience to Natural Hazards: Towards Sustainable Hazard
   Mitigation
SO SUSTAINABILITY
LA English
DT Article
DE natural hazards; resilience; vulnerability; confirmatory factor analysis
ID CONFIRMATORY FACTOR-ANALYSIS; COMMUNITY RESILIENCE; CLIMATE-CHANGE;
   SOCIAL VULNERABILITY; DISASTER RESILIENCE; ADAPTATION; FRAMEWORK;
   KATRINA; RISK
AB Measuring resilience to natural hazards is a central issue in the hazard mitigation sciences. This paper applied a confirmatory factor methodology to operationalize the biophysical, built-environment, and socioeconomic resilience dimensions for local jurisdictions in large urban metropolitan areas in South Korea. Mapping the factor scores of the dimensions revealed great spatial variations. The factor covariances showed a trade-off relationship between natural infrastructure and human activities. A hierarchical cluster analysis was used to classify the localities into heterogeneous groups with respect to the identified resilience dimensions. Densely developed and affluent urban areas tend to lack biophysical resilience. Some local governments, sorted into the same groups, turn out to be located in different metropolitan areas. The spatial variation and inequality in the resilience dimensions suggest the necessity of integrated and flexible governance for sustainable hazard mitigation.
C1 [Shim, Jae Heon] Res Inst Korea Appraisal Board, Dept Res & Dev, Daegu Metropolitan City 701870, South Korea.
   [Kim, Chun-Il] MIT, Dept Urban Studies & Planning, 77 Massachusetts Ave,Room 9-238, Cambridge, MA 02139 USA.
C3 Massachusetts Institute of Technology (MIT)
RP Kim, CI (corresponding author), MIT, Dept Urban Studies & Planning, 77 Massachusetts Ave,Room 9-238, Cambridge, MA 02139 USA.
EM k04796@kab.co.kr; kimci@mit.edu
OI Kim, Chunil/0000-0003-3979-0794
FU Basic Science Research Program through the National Research Foundation
   of Korea (NRF) - Ministry of Education [NRF-2013R1A1A2013676]
FX This research was supported by Basic Science Research Program through
   the National Research Foundation of Korea (NRF) funded by the Ministry
   of Education (NRF-2013R1A1A2013676).
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Aldrich DanielP., 2012, Building resilience: Social capital in post-disaster recovery, DOI 10.7208/chicago/9780226012896.001.0001
   [Anonymous], 2006, DISASTER RESILIENCE
   [Anonymous], WORLD FACTBOOK
   [Anonymous], IND POL TERR DEV LES
   Bae Y., 2015, HABITAT INT IN PRESS
   Bae Y, 2013, DEMOCRATIZATION, V20, P260, DOI 10.1080/13510347.2011.650913
   Bartuska T.J., 2007, The built environment: Definition and scope, P3
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Blunch N.J., 2013, INTRO STRUCTURAL EQU, V2nd, DOI [10.4135/9781526402257, DOI 10.4135/9781526402257]
   Boruff BJ, 2005, J COASTAL RES, V21, P932, DOI 10.2112/04-0172.1
   Brenkert AL, 2005, CLIMATIC CHANGE, V72, P57, DOI 10.1007/s10584-005-5930-3
   Brown TA., 2012, HDB STRUCTURAL EQUAT, P361
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Burton CG, 2015, ANN ASSOC AM GEOGR, V105, P67, DOI 10.1080/00045608.2014.960039
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Charrad M, 2014, J STAT SOFTW, V61, P1
   Choi Choongik, 2010, [Journal of Environmental Policy, 환경정책연구], V9, P3
   Coles E., 2004, Australian Journal of Emergency Management, V19, P6
   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
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2013, ENVIRONMENT, V55, P25, DOI 10.1080/00139157.2013.768076
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   DiStefano C., 2009, PRACTICAL ASSESSMENT, V14, P1, DOI DOI 10.7275/DA8T-4G52
   Djalante R, 2011, INT J DISAST RISK SC, V2, P1, DOI 10.1007/s13753-011-0015-6
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Escaleras M, 2012, PUBLIC CHOICE, V151, P165, DOI 10.1007/s11127-010-9740-4
   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
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Guha-Sapir D., 2013, ANN DISASTER STAT RE
   Gunderson L.H., 2001, PANARCHY UNDERSTANDI, P40
   Hall P., 2002, Cities of tomorrow : an intellectual history of urban planning and design in the twentieth century
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hu L., 1995, STRUCTURAL EQUATION, P76, DOI DOI 10.1007/S11336-013-9370-0
   Hu LT, 1999, STRUCT EQU MODELING, V6, P1, DOI 10.1080/10705519909540118
   Hurley AE, 1997, J ORGAN BEHAV, V18, P667, DOI 10.1002/(SICI)1099-1379(199711)18:6<667::AID-JOB874>3.0.CO;2-T
   Jones S, 2014, GEOFORUM, V57, P78, DOI 10.1016/j.geoforum.2014.07.011
   Kim W., 1994, 88 U COL BOULD NAT H
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kline R. B., 1998, Principles and practice of structural equation modeling, V2nd
   Leichenko R. M., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P1, DOI 10.1023/A:1015860421954
   Liu JG, 2007, AMBIO, V36, P639, DOI 10.1579/0044-7447(2007)36[639:CHANS]2.0.CO;2
   Manyena SB, 2006, DISASTERS, V30, P433
   Morrow Betty., 2008, COMMUNITY RESILIENCE, DOI [DOI 10.13140/RG.2.1.1278.9604, 10.13140/RG.2.1.1278.9604]
   Myers CA, 2008, POPUL ENVIRON, V29, P271, DOI 10.1007/s11111-008-0072-y
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   O'Rourke N., 2014, STEP BY STEP APPROAC
   Organisation for Economic Co-operation and Development (OECD), 2005, OECD EC SURV KOR 200
   Peacock W., 2010, Advancing Resilience of Coastal Localities: Developing, Implementing, and Sustaining the Use of Coastal Resilience Indicators: A Final Report
   Pelling M., 2003, VULNERABILITY CITIES, P48
   Rabbon P.D., 2010, P INT POL OR DISC IN
   REISE SP, 1993, PSYCHOL BULL, V114, P552, DOI 10.1037/0033-2909.114.3.552
   Rose A, 2013, INT J DISAST RISK RE, V5, P73, DOI 10.1016/j.ijdrr.2013.08.003
   Shahriar F., 2015, MODERN APPL SCI, V9, P123, DOI DOI 10.5539/mas.v9n2p123
   Sherrieb K, 2010, SOC INDIC RES, V99, P227, DOI 10.1007/s11205-010-9576-9
   심재헌, 2012, [Journal of Korea Academia-Industrial cooperation Society, 한국산학기술학회논문지], V13, P4319, DOI 10.5762/KAIS.2012.13.9.4319
   Smit B., 1999, MITIG ADAPT STRAT GL, V4, P199, DOI 10.1023/A:1009652531101
   Tabios G.Q.I, 2010, P INT POL OR DISC IN
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   Tate E, 2010, ENVIRON PLANN B, V37, P646, DOI 10.1068/b35157
   Thurstone L. L., 1935, Vectors of the Mind
   Torresan S, 2008, SUSTAIN SCI, V3, P45, DOI 10.1007/s11625-008-0045-1
   United Nations, 2007, REP KOR PUBL ADM COU
   Vale Lawrence J., 2005, The resilient city: How modern cities recover from disaster
   van Asselt MBA, 2011, J RISK RES, V14, P431, DOI 10.1080/13669877.2011.553730
   Walker B., 2006, RESILIENCE THINKING, P85
   Wei Y.-M., 2014, RESILIENCE RECOVERY, P287
   Yin H, 2014, POL J ENVIRON STUD, V23, P243
   Yoon D.K., 2016, Journal of Environmental Planning and Management, V59, P436, DOI DOI 10.1080/09640568.2015.1016142
   Yoon DK, 2014, ENVIR HAZARD, P149, DOI 10.1007/978-3-319-04468-2_9
NR 78
TC 19
Z9 21
U1 5
U2 90
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2015
VL 7
IS 10
BP 14153
EP 14185
DI 10.3390/su71014153
PG 33
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 CV5RI
UT WOS:000364328300057
OA Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Liu, YQ
   Cao, L
   Yang, DD
   Anderson, BC
AF Liu, Yiqing
   Cao, Lei
   Yang, Dongdong
   Anderson, Bruce C.
TI How social capital influences community resilience management
   development
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Resilience; Social capital; Structural equation models; Involvement;
   Community management
ID SELF-RATED HEALTH; ADAPTATION; FRAMEWORK; SUPPORT; ASSOCIATIONS;
   RESOURCES; ENHANCE; TIME
AB The research on "resilience " in the field of urban disaster prevention has gradually changed from macro resilience strategies to construction of concrete resilience models. The community resilience has become an important link in implementing urban resilience capabilities. This work takes "social capital " as a breakthrough in the con-struction of a community resilience management model. Based on field surveys of typical communities in Tianjin, China, the work quantitatively analyses the relationship between resilience, social capital, and active partici-pation in the community. The research explores various elements of social capital, community involvement and community resilience by using structural equation models in AMOS1. The results show that community trust as a dominant factor to affect the construction of community resilience and shows a core pathway to transfer the influence from community network and participation to resilience. Based on these results, this work highlights how enhancing trust and connectivity can influence community resilience, and develops pathways for further community management on resilience.
C1 [Liu, Yiqing; Cao, Lei; Yang, Dongdong; Anderson, Bruce C.] Tianjin Univ, Dept Landscape Architecture, Tianjin 300072, Peoples R China.
   [Anderson, Bruce C.] Queens Univ, Dept Civil Engn, Kingston, ON K7L 3N6, Canada.
C3 Tianjin University; Queens University - Canada
RP Yang, DD (corresponding author), Tianjin Univ, Dept Landscape Architecture, Tianjin 300072, Peoples R China.
RI Cao, Lei/H-3185-2019; yang, dongdong/IUO-5278-2023; Liu,
   Yiqing/GRR-2650-2022
OI Liu, Yiqing/0009-0004-1811-1961
FU Youth program of Hu-manities and Social Science Fund of Ministry of
   Education [18YJCZH215]; Key Program of National Natural Science
   Foundation of China [51838003]
FX Funding The authors received funding support from Youth program of
   Hu-manities and Social Science Fund of Ministry of Education of the
   Peo-ple?s Republic of China (18YJCZH215) and Key Program of National
   Natural Science Foundation of China (No.51838003) .
CR Abenir MAD, 2022, INT J DISAST RISK RE, V71, DOI 10.1016/j.ijdrr.2022.102797
   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
   Adger WN, 2003, ECON GEOGR, V79, P387
   Aguirre B.E., 1988, INT J MASS EMERGENCI, V6, P65, DOI [10.1177/028072708800600105, DOI 10.1177/028072708800600105]
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   ANDERSON JC, 1988, PSYCHOL BULL, V103, P411, DOI 10.1037/0033-2909.103.3.411
   AnonCity of Chicago, 2008, CHIC CLIM CHANG ACT
   AnonCity of Montreal, 2008, MONTR RES CIT STRAT
   AnonCity of New York, 2013, STRONG MOR RES NEW Y
   Araya R, 2006, SOC SCI MED, V62, P3072, DOI 10.1016/j.socscimed.2005.11.037
   Arbuckle J.L., 1996, Advanced structural equation modeling: Issues and techniques, P243, DOI DOI 10.4324/9781315827414
   Bihari M, 2012, LANDSCAPE URBAN PLAN, V106, P253, DOI 10.1016/j.landurbplan.2012.03.011
   Bisung E, 2014, SOC SCI MED, V108, P194, DOI 10.1016/j.socscimed.2014.01.042
   Bourdieu P., 1986, The sociology of economic life
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chen C, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102244
   Cho E, 2015, ORGAN RES METHODS, V18, P207, DOI 10.1177/1094428114555994
   Chuang WC, 2018, J ENVIRON MANAGE, V213, P353, DOI 10.1016/j.jenvman.2018.01.083
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Da Silva J., 2014, CITY RESILIENCE FRAM
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dean AJ, 2016, SUSTAIN CITIES SOC, V27, P457, DOI 10.1016/j.scs.2016.06.016
   Dekker P., 2001, SOCIAL CAPITAL PARTI
   Edwards R.W, 2004, INFORM PAPER MEASURI
   Fischer Henry., 2008, RESPONSE DISASTER, V3rd
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hair J.F., 1998, TECHNOMETRICS, V30, P130
   Hou J.T., 2004, Structural Equation Modeling and Application
   Hsueh HY, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101199
   Huang L, 2010, HUM ECOL RISK ASSESS, V16, P365, DOI 10.1080/10807031003670394
   Hurlbert JS, 2000, AM SOCIOL REV, V65, P598, DOI 10.2307/2657385
   Joshi A, 2014, INT J DISAST RISK RE, V7, P100, DOI 10.1016/j.ijdrr.2013.09.004
   KANIASTY K, 1993, J PERS SOC PSYCHOL, V64, P395, DOI 10.1037/0022-3514.64.3.395
   Karunarathne AY, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101279
   Kawachi I, 1999, AM J PUBLIC HEALTH, V89, P1187, DOI 10.2105/AJPH.89.8.1187
   Kawamoto K, 2019, INT J DISAST RISK RE, V33, P64, DOI 10.1016/j.ijdrr.2018.09.010
   Kerstholt J, 2017, INT J DISAST RISK RE, V24, P52, DOI 10.1016/j.ijdrr.2017.05.013
   Kim D, 2006, J EPIDEMIOL COMMUN H, V60, P116, DOI 10.1136/jech.2005.038281
   Liang YT, 2017, HABITAT INT, V59, P21, DOI 10.1016/j.habitatint.2016.11.008
   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
   Lo AY, 2012, ENVIRON MANAGE, V50, P900, DOI 10.1007/s00267-012-9926-2
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Ma C., 2020, URBAN PLAN, V44, P65
   Marasco S, 2022, INT J DISAST RISK RE, V70, DOI 10.1016/j.ijdrr.2021.102778
   Matsumoto M, 2018, J DISASTER RES, V13, P1113, DOI 10.20965/jdr.2018.p1113
   Mehta A.M., 2022, INT J DISAST RISK RE, V67
   MILETI DS, 1992, RISK ANAL, V12, P393, DOI 10.1111/j.1539-6924.1992.tb00691.x
   Miller DL, 2006, WORLD DEV, V34, P1084, DOI 10.1016/j.worlddev.2005.11.006
   Nakagawa S., 2004, International Journal of Mass Emergencies and Disasters, V22, P5, DOI DOI 10.1177/028072700402200101
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Painter MA, 2014, SOCIOL FORUM, V29, P408, DOI 10.1111/socf.12090
   Pan B, 2009, STUDY PRACTICE, V06, P126
   Panday S, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102112
   Paton Douglas, 2008, International Journal of Global Environmental Issues, V8, P2, DOI 10.1504/IJGENVI.2008.017256
   Paton D, 2019, AUST J PSYCHOL, V71, P327, DOI 10.1111/ajpy.12237
   Paton D, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16142594
   Peacock W., 2010, Advancing Resilience of Coastal Localities: Developing, Implementing, and Sustaining the Use of Coastal Resilience Indicators: A Final Report
   Peng C., 2017, URBAN PLAN INT
   Peng C., 2015, RES PROGR THEORY PRA
   Pfefferbaum B, 2017, CLIN SOC WORK J, V45, P102, DOI 10.1007/s10615-015-0556-z
   Putnam R. D., 1995, Bowling Alone: America's Declining Social Capital, V6, DOI 10.1353/jod.1995.0002
   Putnam R.D., 2000, BOWLING ALONE COLLAP, DOI 10.1145/358916.361990
   Qiu H, 2009, THEORY APPL STRUCTUR
   Robertson T, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102253
   Rustinsyah R, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101963
   Saravanan V, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102621
   Shao Y., 2015, URBAN PLAN INT
   Shimada G, 2015, INT J DISAST RISK RE, V14, P388, DOI 10.1016/j.ijdrr.2015.09.004
   Su Y, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102641
   Tan S.B., 2021, ENVIRON SUSTAIN IND, V12
   Ullman JB., 2003, HDB PSYCHOL
   UNISDR, 2015, MAK CIT RES MY CIT I
   United Nations Office for Disaster Risk Reduction, 2015, SENDAI FRAMEWORK DIS, DOI A/CONF.224/CRP.1
   Wang MZ, 2012, NAT HAZARDS, V60, P1189, DOI 10.1007/s11069-011-9902-9
   Wildavsky A., 1988, Searching for safety
   Wilson GA, 2015, ENVIRON VALUE, V24, P227, DOI 10.3197/096327114X13947900182157
   Wollebaek D, 2002, NONPROF VOLUNT SEC Q, V31, P32, DOI 10.1177/0899764002311002
   Wood S, 2012, SOC SCI MED, V75, P634, DOI 10.1016/j.socscimed.2011.09.018
   Yu H, 2013, NAT HAZARDS, V69, P459, DOI 10.1007/s11069-013-0711-1
   Yu JL, 2022, INT J DISAST RISK RE, V68, DOI 10.1016/j.ijdrr.2021.102734
   Zhao Y, 2011, ROLE SOCIAL NETWORK
   Zheng Y, 2016, CLIM DEV, V8, P110, DOI 10.1080/17565529.2015.1005037
NR 88
TC 24
Z9 24
U1 38
U2 221
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 OCT
PY 2022
VL 136
BP 642
EP 651
DI 10.1016/j.envsci.2022.07.028
EA AUG 2022
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 4X3RL
UT WOS:000860763400005
DA 2025-04-22
ER

PT J
AU Ni, XY
   Osaragi, T
   Huang, H
   Li, RQ
   Chen, AY
AF Ni, Xiaoyong
   Osaragi, Toshihiro
   Huang, Hong
   Li, Ruiqi
   Chen, Anying
TI Resilience-Oriented Performance Assessment Method for Road-Traffic
   System: A Case Study in Beijing, China
SO KSCE JOURNAL OF CIVIL ENGINEERING
LA English
DT Article
DE Urban road-traffic system; Resilience; Performance assessment;
   Transportation modelling; Traffic assignment model
ID INFORMATION DISSEMINATION; TRANSPORT NETWORK; DESIGN
AB The performance of an urban road-traffic system is affected by many factors, such as the average traffic demand, and the network structure, etc. At the same time, natural disasters, abnormal traffic volume and man-made accidents can result in disturbances which also influence the performance of the system. Resilience of an urban road-traffic system has been an emerging research field. This paper proposes a resilience-oriented performance assessment method based on a traffic flow assignment model to precisely capture the performance of an urban road-traffic system. System functionality is chosen as the key proxy for resilience, which can be calculated based on some index parameters including allocation rate of traffic flow, commuting efficiency on road sections, etc. A case study is implemented in a downtown area in Beijing, China. As to the resilience of the system when faced with huge traffic volume, the results show that the road-traffic system itself has a certain degree of absorption capacity for traffic pressure induced by huge volume. As to the resilience of the system when faced with local network failure, the results show that information dissemination of the network condition and the traffic volume are the key impact factors on system's resilience curves.
C1 [Ni, Xiaoyong; Huang, Hong; Li, Ruiqi; Chen, Anying] Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing 100084, Peoples R China.
   [Ni, Xiaoyong; Huang, Hong; Li, Ruiqi; Chen, Anying] Tsinghua Univ, Beijing Key Lab City Integrated Emergency Respons, Beijing 100084, Peoples R China.
   [Osaragi, Toshihiro] Tokyo Inst Technol, Sch Environm & Soc, Dept Architecture & Bldg Engn, Tokyo 1528550, Japan.
C3 Tsinghua University; Tsinghua University; Institute of Science Tokyo;
   Tokyo Institute of Technology
RP Huang, H (corresponding author), Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing 100084, Peoples R China.; Huang, H (corresponding author), Tsinghua Univ, Beijing Key Lab City Integrated Emergency Respons, Beijing 100084, Peoples R China.
EM hhong@tsinghua.edu.cn
RI Osaragi, Toshihiro/B-9260-2015; Xiaoyong, Ni/GSE-2052-2022
OI Osaragi, Toshihiro/0000-0002-6327-3976; Xiaoyong, Ni/0000-0003-4697-978X
FU National Natural Science Foundation of China [72091512, 71774093];
   National Key R&D Program of China [2018YFC0809900]
FX This work was supported by the National Natural Science Foundation of
   China (Grant No. 72091512, 71774093); National Key R&D Program of China
   (Grant No. 2018YFC0809900).
CR Akbarzadeh M, 2019, TRANSPORTATION, V46, P1127, DOI 10.1007/s11116-017-9814-y
   American National Infrastructure Advisory Council, 2009, CRITICAL INFRASTRUCT
   American Society of Mechanical Engineers, 2009, INNOVATIVE TECHNOLOG
   [Anonymous], 1964, TRAFF ASS MAN
   [Anonymous], 2006, Resilience Engineering
   Barker K, 2013, RELIAB ENG SYST SAFE, V117, P89, DOI 10.1016/j.ress.2013.03.012
   Beijing Transport Institute, 2018, BEIJING TRANSPORT AN
   Bliemer MCJ, 2017, TRANSPORT REV, V37, P56, DOI 10.1080/01441647.2016.1207211
   Cai BP, 2017, AIP CONF PROC, V1890, DOI 10.1063/1.5005245
   Chiou SW, 2009, APPL MATH MODEL, V33, P2710, DOI 10.1016/j.apm.2008.08.009
   Cox A, 2011, TRANSPORT POLICY, V18, P307, DOI 10.1016/j.tranpol.2010.09.004
   Enjalbert S., 2011, Human Modelling in Assisted Transportation, P335, DOI 10.1007/978-88-470-1821-1_36
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gentile G, 2018, TRANSPORT SCI, V52, P1531, DOI 10.1287/trsc.2018.0839
   Guo D, 2019, SCI TOTAL ENVIRON, V663, P935, DOI 10.1016/j.scitotenv.2019.01.222
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Ilbeigi M, 2019, INT J DISAST RISK RE, V33, P155, DOI 10.1016/j.ijdrr.2018.10.002
   Kasmalkar IG, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba2423
   Khaghani F, 2019, BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION, P165, DOI 10.1145/3360322.3360864
   Lin HZ, 2019, J CLEAN PROD, V218, P738, DOI 10.1016/j.jclepro.2019.02.070
   Lo HK, 2006, TRANSPORT RES B-METH, V40, P792, DOI 10.1016/j.trb.2005.10.003
   Ministry of Housing and Urban-Rural Development of the People's Republic of China, 2016, CJJ37 2012
   Ni XY, 2019, CHINESE PHYS B, V28, DOI 10.1088/1674-1056/ab343b
   Ni XY, 2018, PROCEEDINGS OF THE 4TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON SAFETY AND RESILIENCE (EM-GIS 2018), DOI 10.1145/3284103.3284108
   Ni XY, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8040190
   Raadsen MPH, 2020, TRANSPORT RES B-METH, V139, P199, DOI 10.1016/j.trb.2020.06.008
   Reggiani A, 2013, TRANSPORT POLICY, V28, P63, DOI 10.1016/j.tranpol.2012.09.007
   Sun C, 2019, TRANSPORT RES D-TR E, V66, P3, DOI 10.1016/j.trd.2017.03.002
   The Standing Committee of Beijing Municipal People's Congress, 2018, MEASURES IMPLEMENTAT
   Wang J, 2019, J AMB INTEL HUM COMP, V10, P395, DOI 10.1007/s12652-018-0717-3
   Wardrop J. G., 1952, Proc Inst Civ Eng, V1, P325, DOI [DOI 10.1680/IPEDS.1952.11259, 10.1680/ipeds.1952.11259]
   Youn BD, 2011, J MECH DESIGN, V133, DOI 10.1115/1.4004981
   Zhang N, 2016, PHYSICA A, V462, P846, DOI 10.1016/j.physa.2016.06.043
   Zhang N, 2016, NAT HAZARDS, V80, P2081, DOI 10.1007/s11069-015-2062-6
   Zhang N., 2014, P 3 INT C MULT TECHN
   Zhang N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098649
   Zhang WL, 2016, STRUCT SAF, V62, P57, DOI 10.1016/j.strusafe.2016.06.003
   Zhang X, 2015, J TRANSP GEOGR, V46, P35, DOI 10.1016/j.jtrangeo.2015.05.006
   Zhou YM, 2019, IEEE T INTELL TRANSP, V20, P4262, DOI 10.1109/TITS.2018.2883766
NR 39
TC 8
Z9 8
U1 18
U2 143
PU KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
PI SEOUL
PA 3-16 JUNGDAE-RO 25-GIL, SONGPA-GU, SEOUL, 05661, SOUTH KOREA
SN 1226-7988
EI 1976-3808
J9 KSCE J CIV ENG
JI KSCE J. Civ. Eng.
PD OCT
PY 2021
VL 25
IS 10
BP 3977
EP 3994
DI 10.1007/s12205-021-2098-y
EA JUN 2021
PG 18
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA UQ1TF
UT WOS:000663696200001
OA hybrid
DA 2025-04-22
ER

PT J
AU Ajibade, I
AF Ajibade, Idowu
TI The Resilience Fix to Climate Disasters: Recursive and Contested
   Relations with Equity and Justice-Based Transformations in the Global
   South
SO ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
LA English
DT Article
DE Elderly friendly; capitalist urbanization; climate disasters; just urban
   transformations; resilience fix; urban political ecology
ID INFORMAL SETTLEMENTS; ADAPTATION; MANILA; SUSTAINABILITY; VULNERABILITY;
   ACCUMULATION; COMMUNITIES; METABOLISM; POLITICS; CITIES
AB This article engages with the taken-for-granted separation between resilience as stability and resilience as transformation after disasters. It examines whether strategies adopted after climate disasters are transforming cities in ways that foster egalitarian urbanism or reinforce capitalist urbanization. To address this question, I develop the notion of a resilience fix, returning to Harvey's influential thesis on spatial fix that captures how capitalism overcomes its crises of overaccumulation by deepening its spread through the production of new spaces and the built environment. I combine this thesis with an interrogation of urban metabolism and the governance of urban life and spaces to show the recursive relations between resilience fixes and transformative resilience strategies. Focusing on a ten-year postdisaster development in Metro Manila, this study shows how resilience fixes act within and through political economy systems, land use planning, technology adoption, and risk management regimes to decenter those who experience the double violence of capitalist urbanization and disaster capitalism while naturalizing utopian development, citizen surveillance, and a class-based retreat from the city. By offering false solutions and translocating disasters, these fixes inextricably reproduced social inequalities that would stimulate resistance politics and counterhegemonic strategies aimed at partial transformation.
C1 [Ajibade, Idowu] Portland State Univ, Dept Geog, Portland, OR 97201 USA.
C3 Portland State University
RP Ajibade, I (corresponding author), Portland State Univ, Dept Geog, Portland, OR 97201 USA.
EM jajibade@pdx.edu
OI Ajibade, Idowu/0000-0002-9767-0435
FU Portland State University Faculty Enhancement Grant; Vision 2025 Grant
FX Funding for this research was provided by a Portland State University
   Faculty Enhancement Grant and Vision 2025 Grant.
CR Ajibade I, 2019, CLIMATIC CHANGE, V157, P299, DOI 10.1007/s10584-019-02535-1
   Ajibade I, 2019, CLIM DEV, V11, P850, DOI 10.1080/17565529.2019.1580557
   Ajibade I, 2017, INT J DISAST RISK RE, V26, P85, DOI 10.1016/j.ijdrr.2017.09.029
   Alvarez MK, 2019, INT J URBAN REGIONAL, V43, P227, DOI 10.1111/1468-2427.12757
   Anne, 2017, KADAMAY FUTILE DIALO
   [Anonymous], 2020, VICE
   [Anonymous], 2014, REPORTV 2 ILC RD103
   [Anonymous], 2019, PHILIPPINES NEWS TOD
   [Anonymous], 2019, INQUIRER
   [Anonymous], 2010, Management and Reduction of Greenhouse Gases and Adaptation Act
   [Anonymous], 2018, The R project for statistical computing
   [Anonymous], 2017, PROPERTY REPORT
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Ballesteros M., 2013, The environments of the poor in Southeast Asia, East Asia and the Pacific, P286, DOI [10.1355/9789814519007-021, DOI 10.1355/9789814519007-021]
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Berner Erhard., 1997, DEFENDING PLACE CITY
   Bigger P, 2021, ANN AM ASSOC GEOGR, V111, P36, DOI 10.1080/24694452.2020.1749023
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Brenner N, 1998, ENVIRON PLANN D, V16, P459, DOI 10.1068/d160459
   Carton W, 2019, ANTIPODE, V51, P750, DOI 10.1111/anti.12532
   Castree N, 2008, ENVIRON PLANN A, V40, P131, DOI 10.1068/a3999
   Choi N, 2016, URBAN STUD, V53, P577, DOI 10.1177/0042098014543032
   CNN Philippines, 2019, DILG LAUNCH CHIN CCT
   Collins TW, 2010, ANTIPODE, V42, P258, DOI 10.1111/j.1467-8330.2009.00755.x
   Connell J, 1999, ENVIRON PLANN A, V31, P417, DOI 10.1068/a310417
   Cutter SL, 2016, GEOGR J, V182, P110, DOI 10.1111/geoj.12174
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   de Molina M.G., 2014, The social metabolism: A socio-ecological theory of historical change, V3, DOI [10.1007/978-3-319-06358-4, DOI 10.1007/978-3-319-06358-4]
   DeVerteuil G., 2016, CITY, V20, P143, DOI [DOI 10.1080/13604813.2015.1125714, https://doi.org/10.1080/13604813.2015.1125714]
   Ekers M, 2018, ANN AM ASSOC GEOGR, V108, P17, DOI 10.1080/24694452.2017.1309963
   Ellao, 2014, LIVING SHANTIES BETT
   Ellao J. A. J., 2013, From danger zones to a death zone
   fao, PHILIPPINES FISHERIE
   Fitzgibbons J, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102997
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Galuszka J, 2019, PLAN THEORY PRACT, V20, P395, DOI 10.1080/14649357.2019.1624811
   Gandy M, 1999, T I BRIT GEOGR, V24, P23, DOI 10.1111/j.0020-2754.1999.00023.x
   Garrido M, 2013, INT J URBAN REGIONAL, V37, P165, DOI 10.1111/j.1468-2427.2011.01100.x
   Grove K, 2020, ANN AM ASSOC GEOGR, V110, P1613, DOI 10.1080/24694452.2020.1715778
   Harris LM, 2018, RESILIENCE-ABINGDON, V6, P196, DOI 10.1080/21693293.2017.1353196
   Harvey D., 1985, Consciousness and the Urban Experience
   Harvey David., 2001, Geographische Revue, V2, P23, DOI DOI 10.1038/D-NB.INFO/1217929630/34
   Harvey David., 2010, ENIGMA CAPITAL CRISE
   Holgersen S, 2015, GEOGR ANN B, V97, P275, DOI 10.1111/geob.12081
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jensen S, 2020, URBAN FORUM, V31, P389, DOI 10.1007/s12132-020-09399-0
   Johnson H., 2019, PHILIPPINES DRUG WAR
   Johnson H., 2019, LIVES LIVED LOST MAN
   Johnson L, 2015, ENVIRON PLANN A, V47, P2503, DOI 10.1177/0308518X15594800
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kahana R., 2016, Projections of mean sea level change for the Philippines
   Kaika M., 2005, CITY FLOWS
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Kaika Maria., 2006, In The Nature of Cities: Urban Political Ecology and the Politics of Urban Metabolism
   Karaos A., 1993, Philippine Sociological Review, V41, P71
   Klein N, 2009, The Shock Doctrine: The Rise of Disaster Capitalism
   Klein Naomi., 2018, The Battle for Paradise: Puerto Rico Takes on the Disaster Capitalists
   Knuth, 2020, CITY, V24, P65, DOI DOI 10.1080/13604813.2020.1739903
   Lanau M, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103336
   lawphil, SUPREME COURT ISSUED
   Lorenzo CM, 2020, JPN ARCHIT REV, V3, P44, DOI 10.1002/2475-8876.12130
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Mongabay, 2019, ACT FIGHT THEIR LAND
   National Disaster Coordinating Council (NDCC), 2010, NDCC UPD FIN REP TRO
   National Disaster Risk Reduction and Management Operations Center (NDRRMC), 2021, STANDARD OPERATING P
   National Disaster Risk Reduction and Management Plan (NDRRMP), 2011, The national disaster risk reduction and management plan 2011 to 2028
   Nelson SH, 2014, RESILIENCE-ABINGDON, V2, P1, DOI 10.1080/21693293.2014.872456
   Noah Timothy., 2012, The Great Divergence: Am erica's Growing Inequality Crisis and What We Can Do About It
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   O'Hare P, 2016, ENVIRON PLANN C, V34, P1175, DOI 10.1177/0263774X15602022
   Olan, 2014, LOOKING BACK RECORDS
   Ortega Arnisson Andre., 2016, Neoliberalizing Spaces in the Philippines: Suburbanization, Transnational Migration, and Dispossession
   Panela, 2012, GMA NEWS
   Patel S, 2016, ENVIRON URBAN, V28, P223, DOI 10.1177/0956247815617440
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pelling M, 2010, PROG HUM GEOG, V34, P21, DOI 10.1177/0309132509105004
   Philippines Statistics Authority, 2015, POP NAT CAP REG BAS
   Porio E, 2011, ASIAN J SOC SCI, V39, P425, DOI 10.1163/156853111X597260
   Quezon City Local Climate Change Action Plan. (QCLCCAP), 2017, QUEZ CIT LOC CLIM CH
   Redclift MR, 2011, CLIMATE CHANGE AND HUMAN SECURITY: THE CHALLENGE TO LOCAL GOVERNANCE UNDER RAPID COASTAL URBANIZATION, P1
   Reyes-Estrope, 2019, ARE KADAMAY FOLK 201
   Rodolfo K.S., 2014, PHILIPP SCI LETT, V7, P228
   Rodolfo KS, 2006, DISASTERS, V30, P118, DOI 10.1111/j.1467-9523.2006.00310.x
   Saguin KK, 2022, POLIT GEOGR, V95, DOI 10.1016/j.polgeo.2021.102553
   Shahani L.R., 2016, PHILSTAR 0424
   Shatkin G, 2004, URBAN STUD, V41, P2469, DOI 10.1080/00420980412331297636
   Shatkin G, 2019, INT J URBAN REGIONAL, V43, P208, DOI 10.1111/1468-2427.12758
   Smith Neil, 2008, UNEVEN DEV, DOI DOI 10.1126/SCIENCE.15.370.195
   Swyngedouw E., 2011, Philosophy-Supplements Only, V69, P253, DOI DOI 10.1017/S1358246111000300
   Swyngedouw E, 2013, ANN ASSOC AM GEOGR, V103, P261, DOI 10.1080/00045608.2013.754688
   Taylor ZJ, 2020, ENVIRON PLANN A, V52, P1131, DOI 10.1177/0308518X19896579
   Usamah M, 2014, INT J DISAST RISK RE, V10, P178, DOI 10.1016/j.ijdrr.2014.08.007
   Venzon, 2019, CHINAS ISLAND BUILDE
   Walker B., 2004, Ecology and Society, V9, P5
   Walker Richard., 2015, CITY, V19, P183
   Ward Graham., 2016, How the Light Gets in: Ethical Life I
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   World Bank, 2020, PHIL TYPH OND PEP PO
   Wright EO., 2010, ENVISIONING REAL UTO
NR 100
TC 16
Z9 17
U1 5
U2 33
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 NOV 11
PY 2022
VL 112
IS 8
BP 2230
EP 2247
DI 10.1080/24694452.2022.2062290
EA APR 2022
PG 18
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 6D7DC
UT WOS:000815377200001
OA hybrid
DA 2025-04-22
ER

PT J
AU Jiang, CM
   He, JL
   Zhu, SX
   Zhang, WB
   Li, G
   Xu, WK
AF Jiang, Chenming
   He, Junliang
   Zhu, Shengxue
   Zhang, Wenbo
   Li, Gen
   Xu, Weikun
TI Injury-Based Surrogate Resilience Measure: Assessing the Post-Crash
   Traffic Resilience of the Urban Roadway Tunnels
SO SUSTAINABILITY
LA English
DT Article
DE surrogate resilience measure; injury-based resilience; urban roadway
   tunnels; skewed logit model; resilience assessment model
ID CRASH RISK; SEVERITY; FREQUENCY; MODELS; SINGLE; SCOBIT
AB Crash injuries not only result in huge property damages, physical distress, and loss of lives, but arouse a reduction in roadway capacity and delay the recovery progress of traffic to normality. To assess the resilience of post-crash tunnel traffic, two novel concepts, i.e., surrogate resilience measure (SRM) and injury-based resilience (IR), were proposed in this study. As a special kind of semi-closed infrastructure, urban tunnels are more vulnerable to traffic crashes and injuries than regular roadways. To assess the IR of the post-crash roadway tunnel traffic system, an over-one-year accident dataset comprising 8621 crashes in urban roadway tunnels in Shanghai, China was utilized. A total of 34 variables from 11 factors were selected to establish the IR assessment indicator system. Methodologically, to tackle the skewness issue in the dataset, a binary skewed logit (Scobit) model was found to be superior to a conventional logistic model and subsequently adopted for further analysis. The estimated results showed that 15 variables were identified to be significant in assessing the IR of the roadway tunnels in Shanghai. Finally, the formula for calculating the IR levels of post-crash traffic systems in tunnels was given and would be a helpful tool to mitigate potential trends in crash-related resilience deterioration. The findings of this study have implications for bridging the gap between conventional traffic safety research and system resilience modeling.
C1 [Zhu, Shengxue; Xu, Weikun] Huaiyin Inst Technol, Jiangsu Key Lab Traff & Transportat Secur, Huaian 223003, Peoples R China.
   [Jiang, Chenming; He, Junliang] Shanghai Maritime Univ, China Inst FTZ Supply Chain, Shanghai 201306, Peoples R China.
   [Jiang, Chenming] Univ Lancaster, Management Sch, Lancaster LA1 4YW, England.
   [He, Junliang] Shanghai Maritime Univ, Inst Logist Sci & Engn, Shanghai 201306, Peoples R China.
   [Zhang, Wenbo] Southeast Univ, Jiangsu Prov Collaborat Innovat Ctr Modern Urban T, Sch Transportat, Jiangsu Key Lab Urban ITS, Nanjing 211189, Peoples R China.
   [Li, Gen] Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China.
C3 Huaiyin Institute of Technology; Shanghai Maritime University; Lancaster
   University; Shanghai Maritime University; Southeast University - China;
   Nanjing Forestry University
RP Zhu, SX (corresponding author), Huaiyin Inst Technol, Jiangsu Key Lab Traff & Transportat Secur, Huaian 223003, Peoples R China.
EM zsx10316@hyit.edu.cn
RI Jiang, Chenming/HTR-2205-2023; Li/AAN-3425-2020
OI He, Junliang/0000-0002-1734-6724; Zhang, Wenbo/0000-0003-2002-7852; Li,
   Gen/0000-0001-5535-6467; Jiang, Chenming/0000-0002-4960-4580
FU Foundation for Jiangsu Key Laboratory of Traffic and Transportation
   Security [TTS2021-06]; National Natural Science Foundation of China
   [72072112, 71974122, 71874123]; National Government-sponsored
   Postdoctoral Program by China Scholarship Council [202008310074];
   Development Research Center of Shanghai Municipal People's Government
   [2022-GR-16]; Shuguang Program of the Shanghai Education Development
   Foundation; Shanghai Municipal Education Commission [22SG46]; Natural
   Science Foundation of Shanghai [22ZR1426600]; Innovation Program of
   Shanghai Municipal Education Commission [2023SKZD16]; Shanghai Science
   and Technology Commission [23692107100, 21010501800, 22010501900]
FX This study was supported by the Foundation for Jiangsu Key Laboratory of
   Traffic and Transportation Security [grant number TTS2021-06], the
   National Natural Science Foundation of China [grant numbers 72072112,
   71974122, 71874123], the National Government-sponsored Postdoctoral
   Program by China Scholarship Council [grant number 202008310074], the
   Development Research Center of Shanghai Municipal People's Government
   [grant number 2022-GR-16], the Shuguang Program of the Shanghai
   Education Development Foundation and Shanghai Municipal Education
   Commission [grant number 22SG46], the Natural Science Foundation of
   Shanghai [grant number 22ZR1426600], the Innovation Program of Shanghai
   Municipal Education Commission [grant number 2023SKZD16], and the
   Shanghai Science and Technology Commission [grant numbers 23692107100,
   21010501800, and 22010501900].
CR Adanu EK, 2018, ACCIDENT ANAL PREV, V113, P187, DOI 10.1016/j.aap.2018.01.035
   [Anonymous], 2018, GLOBAL STATUS REPORT
   Bai XW, 2023, TRANSPORT RES E-LOG, V170, DOI 10.1016/j.tre.2023.103016
   Burr IW, 1942, ANN MATH STAT, V13, P215, DOI 10.1214/aoms/1177731607
   Caliendo C, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12010513
   Calvert SC, 2018, TRANSPORTMETRICA A, V14, P130, DOI 10.1080/23249935.2017.1363315
   Chen SD, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17093155
   Du A, 2023, RELIAB ENG SYST SAFE, V233, DOI 10.1016/j.ress.2023.109104
   Feng MJ, 2023, J TRANSP SAF SECUR, V15, P59, DOI 10.1080/19439962.2021.2020945
   Gu Y, 2020, TRANSPORT RES E-LOG, V133, DOI 10.1016/j.tre.2019.11.003
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hou QZ, 2018, ACCIDENT ANAL PREV, V111, P94, DOI 10.1016/j.aap.2017.11.018
   Huang ZK, 2022, SOIL DYN EARTHQ ENG, V162, DOI 10.1016/j.soildyn.2022.107456
   Jazayeri F, 2021, J AMB INTEL HUM COMP, V12, P8265, DOI 10.1007/s12652-020-02561-3
   Jiang C. M., 2015, Applied Mechanics and Materials, V743, P526, DOI [10.4028/www.scientific.net/AMM.743.526, DOI 10.4028/WWW.SCIENTIFIC.NET/AMM.743.526]
   Jiang CM, 2021, TRAFFIC INJ PREV, V22, P158, DOI 10.1080/15389588.2020.1852224
   Jiang CM, 2016, ACCIDENT ANAL PREV, V95, P373, DOI 10.1016/j.aap.2015.09.003
   Jiang CM, 2013, PROCD SOC BEHV, V96, P2553, DOI 10.1016/j.sbspro.2013.08.286
   Khattak AJ, 2001, TRANSPORT RES REC, P59, DOI 10.3141/1746-08
   Khetwal S., 2022, Intelligent Transportation Infrastructure, V1, DOI DOI 10.1093/ITI/LIAC003
   Li GH, 2003, ACCIDENT ANAL PREV, V35, P227, DOI 10.1016/S0001-4575(01)00107-5
   Liu SC, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102206
   Murray-Tuite PM, 2006, Proceedings of the 2006 Winter Simulation Conference, Vols 1-5, P1398, DOI 10.1109/WSC.2006.323240
   NAGLER J, 1994, AM J POLIT SCI, V38, P230, DOI 10.2307/2111343
   Pan X, 2022, RELIAB ENG SYST SAFE, V223, DOI 10.1016/j.ress.2022.108483
   Regev S, 2018, J SAFETY RES, V66, P131, DOI 10.1016/j.jsr.2018.07.002
   Rezapour M, 2019, J SAFETY RES, V68, P107, DOI 10.1016/j.jsr.2018.12.006
   Rinaudo P, 2016, TUNN UNDERGR SP TECH, V52, P71, DOI 10.1016/j.tust.2015.11.021
   Savolainen PT, 2011, ACCIDENT ANAL PREV, V43, P1666, DOI 10.1016/j.aap.2011.03.025
   Shahidinejad A, 2022, IEEE CONSUM ELECTR M, V11, P57, DOI 10.1109/MCE.2021.3053543
   Stamatiadis N, 2020, J TRANSP ENG A-SYST, V146, DOI 10.1061/JTEPBS.0000316
   Tay R, 2016, ACCIDENT ANAL PREV, V88, P52, DOI 10.1016/j.aap.2015.12.009
   Theofilatos A, 2014, ACCIDENT ANAL PREV, V72, P244, DOI 10.1016/j.aap.2014.06.017
   Wang C, 2021, ACCIDENT ANAL PREV, V157, DOI 10.1016/j.aap.2021.106157
   Wang JH, 2019, ACCIDENT ANAL PREV, V124, P180, DOI 10.1016/j.aap.2019.01.007
   Xing YY, 2014, INTELL AUTOM SOFT CO, V20, P501, DOI 10.1080/10798587.2014.934595
   Yang ZY, 2023, SAFETY SCI, V160, DOI 10.1016/j.ssci.2022.106049
   Zeng Q, 2016, J SAFETY RES, V59, P105, DOI 10.1016/j.jsr.2016.10.005
NR 38
TC 11
Z9 11
U1 16
U2 51
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 6615
DI 10.3390/su15086615
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 F0OH0
UT WOS:000979420600001
OA gold
DA 2025-04-22
ER

PT J
AU Wardekker, JA
   de Jong, A
   Knoop, JM
   van der Sluijs, JP
AF Wardekker, J. Arjan
   de Jong, Arie
   Knoop, Joost M.
   van der Sluijs, Jeroen P.
TI Operationalising a resilience approach to adapting an urban delta to
   uncertain climate changes
SO TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
LA English
DT Article
DE Resilience; Resilience principles; Climate change adaptation;
   Uncertainty; Urban planning
ID GREENHOUSE-GAS EMISSIONS
AB Climate change may pose considerable challenges to coastal cities, particularly in low-lying urban deltas. Impacts are, however, associated with substantial uncertainties. This paper studies an uncertainty-robust adaptation strategy: strengthening the resilience of the impacted system. This approach is operationalised for the city of Rotterdam, using literature study, interviews, and a workshop. Potential impacts have been explored using national climate statistics and scenarios and a set of 'wildcards' (imaginable surprises). Sea level rise, particularly in combination with storm surge, and enduring heat and drought are the most relevant potential stresses in the area. These can lead to damage, loss of image, and societal disruption. Unclear responsibilities enhance disruption. 'Resilience principles' nude the concept of resilience sufficiently operational for local actors to explore policy options. Useful principles for urban resilience include: homeostasis, omnivory, high flux, flatness, buffering, redundancy, foresight and preparedness/planning, compartmentalisation, and flexible planning/design. A resilience approach makes the system less prone to disturbances, enables quick and flexible responses, and is better capable of dealing with surprises than traditional predictive approaches. Local actors frame resilience as a flexible approach to adaptation that would be more suitable and tailored to local situations than rigid top-down regulations. In addition to a change in policy, it would require a more pro-active mentality among the population. (C) 2009 Elsevier Inc. All rights reserved.
C1 [Wardekker, J. Arjan; de Jong, Arie; van der Sluijs, Jeroen P.] Univ Utrecht, Copernicus Inst Sustainable Dev & Innovat, Dept Sci Technol & Soc, NL-3584 CS Utrecht, Netherlands.
   [Knoop, Joost M.] Netherlands Environm Assessment Agcy PBL, NL-3720 AH Bilthoven, Netherlands.
   [van der Sluijs, Jeroen P.] Univ Versailles St Quentinen en Yvelines, Ctr Econ & Eth Environm & Dev, F-78047 Guyancourt, France.
C3 Utrecht University; Universite Paris Saclay
RP Wardekker, JA (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev & Innovat, Dept Sci Technol & Soc, Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.
EM J.A.Wardekker@uu.nl
RI Wardekker, Arjan/U-8500-2019; van der Sluijs, Jeroen P./B-6302-2008
OI van der Sluijs, Jeroen P./0000-0002-1346-5953; Wardekker,
   Arjan/0000-0001-7974-4835
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 1998, DECIS SUPPORT SYST
   [Anonymous], 2006, CLIM 21 CENT 4 SCEN
   [Anonymous], NED LAT TWEED DUURZ
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Bruijn K. M. de, 2004, Water Policy, V6, P53
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   de Boer J, 2010, PUBLIC UNDERST SCI, V19, P654, DOI 10.1177/0963662509342473
   DE Bruijn K., 2004, INT J RIVER BASIN MA, V2, P199, DOI [10.1080/15715124.2004.9635232, DOI 10.1080/15715124.2004.9635232]
   DEBOER J, 2009, IARU INT SCI C CLIM
   DEJONG A, 2008, VEERKRACHT ALS STRAT
   Delbecq A.L., 1975, Group techniques for program planning: A guide to nominal group and Delphi process
   *DELT, 2008, SAM WERK WAT EEN LAN
   Dessai S., 2007, UNCERTAINTY CLIMATE
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frederick KD, 1997, CLIMATIC CHANGE, V37, P291, DOI 10.1023/A:1005364302618
   *GROUPSYSTEMS, 2002, GROUPSYSTEMS WORKGR
   Grübler A, 2007, TECHNOL FORECAST SOC, V74, P873, DOI 10.1016/j.techfore.2006.07.009
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   ISAACSON M, 1989, B WORLD HEALTH ORGAN, V67, P737
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kuhlbrodt T, 2009, CLIMATIC CHANGE, V96, P489, DOI 10.1007/s10584-009-9561-y
   Kwadijk J., 2008, De klimaatbestendigheid van Nederland Waterland: Verkenning van knikpunten in beheer en beleid voor het hoofdwatersysteem
   Lempert RJ, 2010, TECHNOL FORECAST SOC, V77, P960, DOI 10.1016/j.techfore.2010.04.007
   Lowe JA, 2005, PHILOS T R SOC A, V363, P1313, DOI 10.1098/rsta.2005.1570
   Mathijssen J., 2008, DEALING UNCERTAINTY
   McCray LE, 2010, TECHNOL FORECAST SOC, V77, P951, DOI 10.1016/j.techfore.2009.12.001
   Moench M, 2010, TECHNOL FORECAST SOC, V77, P975, DOI 10.1016/j.techfore.2009.11.006
   Parry M., 2007, Intergovernmental Panel on Climate Change: Climate Change 2007: Impacts, Adaptation, and Vulnerability
   PEIJS K, 2006, COMMUNICATION   1016
   *ROTT DS V, 2007, STADSV ROTT RUIMT ON
   *ROTT GW, 2005, ZEESP AN RIS STADSH
   *RWS, 2009, WAT NAT WAT LEV DISC
   Sheltair Group, 2003, CLIM CHANG IMP AD ST, V1
   Smith SJ, 2000, TECHNOL FORECAST SOC, V65, P195, DOI 10.1016/S0040-1625(99)00099-2
   van den Hurk B, 2007, WATER SCI TECHNOL, V56, P27, DOI 10.2166/wst.2007.533
   van Kouwen F, 2009, ENVIRON PLANN A, V41, P63, DOI 10.1068/a4099
   VANDENHURK B, 2006, 200601 KNMI ROYAL NE
   VANDERWOUDEN R, 2008, 8 RPB MNP CPB
   VANKOUWEN FA, 2007, THESIS UTRECHT U UTR
   Vennix JAM, 1999, SYST DYNAM REV, V15, P379, DOI 10.1002/(SICI)1099-1727(199924)15:4<379::AID-SDR179>3.0.CO;2-E
   Vennix JAM., 1996, Group model building: facilitating team learning using system dynamics
   Villa F, 2002, ENVIRON MANAGE, V29, P335, DOI 10.1007/s00267-001-0030-2
   *VROM, 2007, 2040 VROM MIN HOUS S
   Walker B, 2004, ECOL SOC, V9
   Walker W.E., 2003, INTEGRATED ASSESSMEN, V4, P5, DOI DOI 10.1076/IAIJ.4.1.5.16466
   Wardekker JA, 2008, ENVIRON SCI POLICY, V11, P627, DOI 10.1016/j.envsci.2008.05.005
   WARDEKKER JA, 2008, VEERKRACHTIG ROTTERD
   WATT KEF, 1986, SYST RES, V3, P191, DOI 10.1002/sres.3850030403
   Wildavsky A., 1988, Searching for safety
NR 52
TC 255
Z9 286
U1 11
U2 173
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0040-1625
EI 1873-5509
J9 TECHNOL FORECAST SOC
JI Technol. Forecast. Soc. Chang.
PD JUL
PY 2010
VL 77
IS 6
BP 987
EP 998
DI 10.1016/j.techfore.2009.11.005
PG 12
WC Business; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Business & Economics; Public Administration
GA 627LJ
UT WOS:000280040700014
OA Green Published
DA 2025-04-22
ER

PT J
AU Burgis-Kasthala, S
   Elmitt, N
   Moore, M
AF Burgis-Kasthala, Sarath
   Elmitt, Nicholas
   Moore, Malcolm
TI How does studying rurally affect peer networks and resilience? A social
   network analysis of rural- and urban-based students
SO AUSTRALIAN JOURNAL OF RURAL HEALTH
LA English
DT Article
DE medical education; rural clinical school; social capital; student
   support; well-being
ID IDENTITY
AB Objective To examine differences in peer networks between urban-based students and rural-stream students in an Australian medical school and to examine how characteristics of networks relate to resilience. Design Cross-sectional survey asking students to signify social, academic and support relationships with students in the same year and to complete a survey on their resilience. Setting and participants All second-, third- and fourth-year students at the Australian National University Medical School. Main outcome measures Social network analysis comparing peer networks, t-test comparing mean resilience of urban and rural students. Results A visual analysis of the peer networks of year 2, 3 and 4 medical students suggests greater integration of rural-stream students within the year 2 and 4 urban cohorts. Resilience is similar between year 2 and 3 students in both urban and rural streams, but is significantly higher in year 4 rural-stream students, compared to their urban-based peers. Networks of rural-stream students suggest key differences between their period spent rurally and on their return and integration within the larger student cohort. Furthermore, rural students, once reintegrated, had larger and stronger social networks than their urban counterparts. Conclusion The results of the study suggest that the rural experience can instruct support systems in urban settings. However, whether the rural placement creates a more resilient student or resilient students are selected for rural placement is unclear.
C1 [Burgis-Kasthala, Sarath; Moore, Malcolm] Australian Natl Univ, Rural Clin Sch, Canberra, ACT, Australia.
   [Elmitt, Nicholas] Australian Natl Univ, Acad Unit Gen Practice, Canberra, ACT, Australia.
C3 Australian National University; Australian National University
RP Burgis-Kasthala, S (corresponding author), Australian Natl Univ, Florey Bldg 54 Mills Rd, Canberra, ACT 2601, Australia.
EM sarath.burgis-kasthala@anu.edu.au
OI Moore, Malcolm/0000-0002-1847-6571
FU College of Higher Education Learning and Teaching grant from the ANU
FX This project was funded by a College of Higher Education Learning and
   Teaching grant from the ANU.
CR [Anonymous], 2006, INT J
   [Anonymous], 2016, R LANG ENV STAT COMP
   Australian Medical Association, 2014, DEV ACT PLAN SUPP ME
   Burdick WP, 2015, MED EDUC, V49, P17, DOI 10.1111/medu.12607
   Dunn LB, 2008, ACAD PSYCHIATR, V32, P44, DOI 10.1176/appi.ap.32.1.44
   Eley DS, 2013, PEERJ, V1, DOI 10.7717/peerj.216
   General Medical Council (UK), 2017, GEN PROF CAP FRAM GU
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Greenhill JA, 2015, RURAL REMOTE HEALTH, V15
   Greenhill J, 2015, BMC MED EDUC, V15, DOI 10.1186/s12909-015-0404-4
   Howe A, 2012, MED EDUC, V46, P349, DOI 10.1111/j.1365-2923.2011.04188.x
   Hunter D. R., 2008, Journal of Statistical Software, V24, P1, DOI [10.18637/jss.v024.i03, DOI 10.18637/JSS.V024.I03]
   Isba R, 2017, MED EDUC, V51, P81, DOI 10.1111/medu.13152
   Lovell B, 2015, MED EDUC, V49, P1016, DOI 10.1111/medu.12781
   Mavor KI, 2014, MED EDUC, V48, P351, DOI 10.1111/medu.12375
   MENDIS K, 2015, RURAL REMOTE HEALTH, V15
   Prideaux D, 2017, MED EDUC, V51, P9, DOI 10.1111/medu.13217
   Robins G, 2007, SOC NETWORKS, V29, P173, DOI 10.1016/j.socnet.2006.08.002
   Shekatkar SM, 2015, SCI REP-UK, V5, DOI 10.1038/srep14280
   Tempski P, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131535
   Wagnild G M, 1993, J Nurs Meas, V1, P165
   Walters L, 2015, BMC MED EDUC, V15, DOI 10.1186/s12909-015-0399-x
NR 22
TC 3
Z9 3
U1 5
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1038-5282
EI 1440-1584
J9 AUST J RURAL HEALTH
JI Aust. J. Rural Health
PD DEC
PY 2018
VL 26
IS 6
BP 400
EP 407
DI 10.1111/ajr.12427
PG 8
WC Public, Environmental & Occupational Health; Nursing
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Nursing
GA HE7OD
UT WOS:000453626200004
PM 30456881
DA 2025-04-22
ER

PT J
AU Zhang, HT
   Song, GH
   He, F
   Tan, Z
   Huang, JC
AF Zhang, Huiting
   Song, Guohua
   He, Feng
   Tan, Zhe
   Huang, Jianchang
TI Dynamic Evaluation Method for Urban Road Network Resilience Based on
   Congestion Propagation and Dissipation
SO TRANSPORTATION RESEARCH RECORD
LA English
DT Article
DE urban road network; road congestion propagation and dissipation speed
   model; cascading failure model; time-varying resilience index
ID CASCADING FAILURES; RECOVERY; FLOW
AB Urban road networks are often affected by natural disasters, such as rainstorms, with consequences spreading from partial failures to massive network-wide disruptions. The pattern of road network resilience is grasped by capturing the changes in the failure process of the road network cascade. This research presents a method for dynamic evaluation of road network resilience, with extreme rainstorm weather as the background. The fundamental diagram of traffic flow is adopted into the shock wave model to obtain the congestion propagation and dissipation model with speed as input quantity. Then, it is networked and applied to the road network to develop a cascading failure model. The model can be used to identify critical nodes, combining the Monte Carlo method and Dijkstra algorithm, as well as to construct time-varying evolution scenarios of road network resilience when critical nodes are broken. Furthermore, VA (the variations of all OD pairs in the road network) and RI (the resilience indicators of road network) indexes for dynamic evaluation of road network resilience are developed, that visualize the resilience of the road network for a specific region, a specific event, and a specific time. In the case study, the proposed method is employed to evaluate the resilience of the urban road network under a real case of the Zhengzhou 720 rainstorm in China, and its practicality is verified.
C1 [Zhang, Huiting; Song, Guohua; Huang, Jianchang] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Beijing, Peoples R China.
   [He, Feng; Tan, Zhe] Beijing Saimo Technol Co Ltd, Beijing, Peoples R China.
C3 Beijing Jiaotong University
RP Song, GH (corresponding author), Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Beijing, Peoples R China.
EM GhSong@bjtu.edu.cn
RI huang, Jianchang/LEL-9154-2024; Zhang, Huiting/IQW-3491-2023
OI Song, Guohua/0000-0002-8180-8153; Huang, Jianchang/0000-0002-2591-0954
FU Beijing Saimo Technology Co., Ltd. [2020AAA0105205]; Natural Science
   Foundation of China (NSFC) [71871015, 71901018]
FX The author(s) disclosed receipt of the following financial sup-port for
   the research, authorship, and/or publication of this article: This
   research was supported by Beijing Saimo Technology Co., Ltd.
   #2020AAA0105205 and the Natural Science Foundation of China (NSFC)
   #71871015 and 71901018.
CR Ahmed MA, 2022, J TRANSP ENG A-SYST, V148, DOI 10.1061/JTEPBS.0000712
   ALHASSAN HM, 2014, J APPL SCI, V14, P54, DOI DOI 10.3923/jas.2014.54.59
   Berche B, 2009, EUR PHYS J B, V71, P125, DOI 10.1140/epjb/e2009-00291-3
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Calvert SC, 2018, TRANSPORTMETRICA A, V14, P130, DOI 10.1080/23249935.2017.1363315
   Chang KH, 2023, TRANSPORT RES E-LOG, V171, DOI 10.1016/j.tre.2023.103022
   Chen LC, 2012, TRANSPORT SCI, V46, P109, DOI 10.1287/trsc.1110.0376
   Chootinan P, 2005, J ADV TRANSPORT, V39, P247, DOI 10.1002/atr.5670390303
   CURTISS JH, 1954, J MATH PHYS CAMB, V32, P209
   Demar Urka., 2008, Transactions in GIS, V12, P61, DOI DOI 10.1111/J.1467-9671.2008.01086.X
   Dijkstra E.W., 2022, Numerische Mathematik, P287, DOI 10.1007/BF01386390
   Dobson I, 2007, CHAOS, V17, DOI 10.1063/1.2737822
   Ecns.cn, 2021, REC TORR RAIN HITS C
   Fan C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70524-x
   Faturechi R, 2015, J INFRASTRUCT SYST, V21, DOI 10.1061/(ASCE)IS.1943-555X.0000212
   Fei W, 2017, PREDICTION MODEL CON
   Gauthier P, 2018, TRANSPORT RES REC, V2672, P54, DOI 10.1177/0361198118792115
   Goldbeck N, 2019, RELIAB ENG SYST SAFE, V188, P62, DOI 10.1016/j.ress.2019.03.007
   Gonçalves LAPJ, 2020, J TRANSP GEOGR, V85, DOI 10.1016/j.jtrangeo.2020.102727
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jiang YX, 2021, J SEP SCI, V44, P1089, DOI 10.1002/jssc.202001098
   Li Yanjin, 2018, Industrial Engineering Journal, V21, P1, DOI 10.3969/j.issn.1007-7375.2018.04.001
   LIGHTHILL MJ, 1955, PROC R SOC LON SER-A, V229, P317, DOI 10.1098/rspa.1955.0089
   Miller M., 2021, OUTSIDER 0829
   Nogal M, 2016, RELIAB ENG SYST SAFE, V156, P84, DOI 10.1016/j.ress.2016.07.020
   Porta S, 2006, PHYSICA A, V369, P853, DOI 10.1016/j.physa.2005.12.063
   Qiang Q, 2008, OPTIM LETT, V2, P127, DOI 10.1007/s11590-007-0049-2
   Rebally A, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.732181
   Taylor MAP, 2012, TRANSPORT RES A-POL, V46, P743, DOI 10.1016/j.tra.2012.02.001
   Wang WP, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10063-w
   Wu JJ, 2007, PHYSICA A, V378, P505, DOI 10.1016/j.physa.2006.12.003
   Wu Y., 2014, CICTP SAFE SMART SUS
   Yang YF, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.101886
   Yue Y., 2015, MULTILEVEL FUNDAMENT
   Zang J, 2020, METHOD TRAFFIC FLOW
   Zhang YN, 2015, MATH PROBL ENG, V2015, DOI 10.1155/2015/101059
   Zheng HF, 2007, PHYSICA A, V385, P700, DOI 10.1016/j.physa.2007.07.031
NR 37
TC 3
Z9 4
U1 23
U2 118
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 APR
PY 2024
VL 2678
IS 4
BP 75
EP 89
DI 10.1177/03611981231183714
EA JUL 2023
PG 15
WC Engineering, Civil; Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Transportation
GA NK9C6
UT WOS:001034277400001
DA 2025-04-22
ER

PT J
AU Woodruff, S
   Bowman, AOM
   Hannibal, B
   Sansom, G
   Portney, K
AF Woodruff, Sierra
   Bowman, Ann O' M.
   Hannibal, Bryce
   Sansom, Garett
   Portney, Kent
TI Urban resilience: Analyzing the policies of US cities
SO CITIES
LA English
DT Article
DE Resilience; Policy adoption; Implementation; Urban governance; City
ID CLIMATE ADAPTATION; QUALITY
AB Resilience has become an important concept in urban governance, yet, the policies that cities actually adopt and implement to build resilience remain largely unknown. The lack of empirical studies on resilience policies hinders our ability to develop theory, ask new questions, and test hypotheses. The goal of this paper is to quantify and compare policies and programs of the 101 largest cities in the U.S. that tangibly affect resilience. We develop a set of resilience policies and then search government websites for evidence of adoption of those policies. To explore patterns of policy adoption, we conduct factor analysis and correlation. We find that resilience does not coalesce around any particular sets of programs. Instead, resilience is a flexible concept, modified to address local context. Substantive groupings of policies do not explain policy adoption. Different dimensions such as funding and level of needed commitment may better explain empirical patterns of policy adoption. Across cities, greater attention must be dedicated to addressing drivers of social vulnerability and climate change impacts. By examining what cities are doing and whether there are underlying patterns to the policies they pursue, we tackle basic empirical questions of how to make sense of the evolving resilience landscape.
C1 [Woodruff, Sierra] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX 77843 USA.
   [Bowman, Ann O' M.; Portney, Kent] Texas A&M Univ, Bush Sch Govt, College Stn, TX 77843 USA.
   [Hannibal, Bryce] US Census Bureau, Maryville, MO USA.
   [Sansom, Garett] Texas A&M Univ, Sch Publ Hlth, 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; Bush School
   of Government & Public Service; Texas A&M University System; Texas A&M
   University College Station; Texas A&M Health Science Center
RP Woodruff, S (corresponding author), 3137 TAMU, College Stn, TX 77843 USA.
EM swoodruff@tamu.edu
FU Texas A&M University President's Excellence Fund; National Institute of
   Environmental Health Sciences [P42ES027704] Funding Source: NIH RePORTER
FX Any opinions and conclusions expressed herein are those of the authors
   and do not necessarily reflect the views of the Census Bureau. This work
   was mostly or entirely completed while Dr. Bryce Hannibal was at Texas
   A&M University. This project was funded by Texas A&M University
   President's Excellence Fund. We would also like to thank the many
   students that assisted with data collection.
CR Albright Elizabeth A., 2019, POLICY STUD J
   Arup, 2015, CITY RES FRAM
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Biesbroek R, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.548
   Bin Kashem S, 2016, J PLAN EDUC RES, V36, P304, DOI 10.1177/0739456X16645167
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   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
   Deslatte A, 2016, J URBAN AFF, V38, P581, DOI 10.1111/juaf.12245
   Fastiggi M, 2021, URBAN STUD, V58, P1262, DOI 10.1177/0042098020907277
   Feldmeyer D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102931
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hernantes J, 2019, CITIES, V84, P96, DOI 10.1016/j.cities.2018.07.010
   Holling C.S., 1996, ENG ECOLOGICAL CONST, V1st, DOI 10.17226/4919
   Intergovernmental Panel on Climate Change, 2018, GLOB WARM 1 5 C, DOI [DOI 10.1017/9781009157940, 10.1017/9781009157940]
   Keenan JM, 2018, ENVIRON SCI POLICY, V88, P116, DOI 10.1016/j.envsci.2018.06.015
   Lesnikowski A, 2019, CLIMATIC CHANGE, V156, P447, DOI 10.1007/s10584-019-02533-3
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   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
   Moser S, 2019, CLIMATIC CHANGE, V153, P21, DOI 10.1007/s10584-018-2358-0
   NRC, 2012, DIRENAT IMP, DOI DOI 10.17226/13457
   Portney KE, 2013, AM COMP ENVIRON POLI, P1
   Stevens MR, 2014, J PLAN EDUC RES, V34, P77, DOI 10.1177/0739456X13513614
   Therrien MC, 2020, J CONTING CRISIS MAN, V28, P83, DOI 10.1111/1468-5973.12283
   UNEP United Nations Environment Programme., 2021, AD GAP REP 2020
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Woodruff SC, 2022, J PLAN EDUC RES, V42, P64, DOI 10.1177/0739456X18801057
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 33
TC 40
Z9 45
U1 15
U2 126
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 AUG
PY 2021
VL 115
AR 103239
DI 10.1016/j.cities.2021.103239
EA MAY 2021
PG 10
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA TE6BB
UT WOS:000670095100005
PM 34803206
OA Green Accepted
DA 2025-04-22
ER

PT J
AU Wen, HW
   Liu, YP
   Zhou, FX
AF Wen, Huwei
   Liu, Yupeng
   Zhou, Fengxiu
TI New-type infrastructure and urban economic resilience: Evidence from
   China
SO INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
LA English
DT Article
DE New-type infrastructure; Economic resilience; Digital economy; Threshold
   effect; China
ID REGIONS
AB Rising global uncertainties pose challenges to the resilience of economic development, and newtype infrastructure, referring to a system that is supported by next-generation information technology, can be a crucial stabilizing factor in the digital era to overcome uncertainties. This study uses 5244 observations from 276 cities in China from 2003 to 2021 to investigate the impact of new-type infrastructure on urban economic resilience. The empirical findings indicate that new-type infrastructure can effectively enhance regional economic resilience, and urban economic resilience can be improved in the digital age. New-type infrastructure can effectively mitigate the adverse impact of Corona Virus disease 2019 (COVID-19) on economic resilience. The effect of new-type infrastructure on economic resilience is larger in central regions, cities with medium and large economic scales, and cities with well-developed traditional infrastructure. New-type infrastructure exhibits threshold effects with changes in mechanism variables, decreasing as the threshold of resource dependence is crossed and increasing as the threshold of capital deepening and human capital is crossed. New-type infrastructure can enhance economic resilience by promoting innovation, including digital and green innovation. In addition, new-type infrastructure can cultivate emerging industries, advance industrial structure optimization, and promote collaborative agglomeration, which also contributes to enhancing economic resilience.
C1 [Wen, Huwei; Liu, Yupeng] Nanchang Univ, Sch Econ & Management, Nanchang 330031, Peoples R China.
   [Zhou, Fengxiu] Jiangxi Normal Univ, Sch Business, Nanchang 330033, Peoples R China.
C3 Nanchang University; Jiangxi Normal University
RP Wen, HW (corresponding author), Nanchang Univ, Sch Econ & Management, Nanchang 330031, Peoples R China.
EM wenhuwei@ncu.edu.cn
RI Wen, Huwei/ABX-7160-2022
OI Wen, Huwei/0000-0002-8422-1593
CR Abrardi L, 2023, TELECOMMUN POLICY, V47, DOI 10.1016/j.telpol.2022.102480
   Badri F., 2023, Journal of International Conference Proceedings, V6, P274
   Borenstein M, 2010, RES SYNTH METHODS, V1, P97, DOI 10.1002/jrsm.12
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Brown L, 2017, URBAN STUD, V54, P1347, DOI 10.1177/0042098015624870
   Chacon-Hurtado D, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000834
   David L, 2018, EUR PLAN STUD, V26, P1041, DOI 10.1080/09654313.2018.1448754
   Dedrick J, 2013, J MANAGE INFORM SYST, V30, P97, DOI 10.2753/MIS0742-1222300103
   Du YA, 2023, INT REV FINANC ANAL, V88, DOI 10.1016/j.irfa.2023.102709
   Faggian A, 2018, ANN REGIONAL SCI, V60, P393, DOI 10.1007/s00168-017-0822-9
   George G, 2021, ENTREP THEORY PRACT, V45, P999, DOI 10.1177/1042258719899425
   Gibbons S, 2019, J URBAN ECON, V110, P35, DOI 10.1016/j.jue.2019.01.002
   Gillman M, 2021, ECON MODEL, V99, DOI 10.1016/j.econmod.2021.02.011
   Gong M, 2023, FINANC RES LETT, V54, DOI 10.1016/j.frl.2023.103754
   Hansen BE, 1999, J ECONOMETRICS, V93, P345, DOI 10.1016/S0304-4076(99)00025-1
   Hao XL, 2023, J ENVIRON MANAGE, V325, DOI 10.1016/j.jenvman.2022.116504
   He CX, 2024, SOCIO-ECON PLAN SCI, V91, DOI 10.1016/j.seps.2023.101767
   Hou SY, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e21086
   Hu XH, 2022, CITIES, V120, DOI 10.1016/j.cities.2021.103440
   Jiang Z, 2020, Open J Bus Manag, V8, P1483, DOI [10.4236/ojbm.2020.84094, DOI 10.4236/OJBM.2020.84094]
   Kou Z., 2017, FIND report on city and industrial innovation in China
   Lee CC, 2022, ECON ANAL POLICY, V75, P174, DOI 10.1016/j.eap.2022.05.010
   Li RM, 2023, CITIES, V141, DOI 10.1016/j.cities.2023.104498
   Li Z, 2019, J CLEAN PROD, V206, P920, DOI 10.1016/j.jclepro.2018.09.241
   Litvinenko VS, 2020, NAT RESOUR RES, V29, P1521, DOI 10.1007/s11053-019-09568-4
   Liu Y, 2021, ENVIRON SCI POLLUT R, V28, P54661, DOI 10.1007/s11356-021-13780-2
   Luo SY, 2023, BUS STRATEG ENVIRON, V32, P1847, DOI 10.1002/bse.3223
   Ma RY, 2023, J CLEAN PROD, V425, DOI 10.1016/j.jclepro.2023.138769
   Ma RY, 2023, HUM SOC SCI COMMUN, V10, DOI 10.1057/s41599-023-01839-z
   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
   Meng JY, 2023, J CHIN ECON BUS STUD, V21, P341, DOI 10.1080/14765284.2022.2036571
   Nair M, 2020, TECHNOL SOC, V62, DOI 10.1016/j.techsoc.2020.101315
   Papaioannou SK, 2023, ECON MODEL, V128, DOI 10.1016/j.econmod.2023.106500
   Reggiani A., 2002, Networks and Spatial Economics, V2, P211, DOI [DOI 10.1023/A:1015377515690, 10.1023/A:1015377515690]
   Ren SY, 2021, ENERG ECON, V98, DOI 10.1016/j.eneco.2021.105220
   Rocchetta S, 2019, REG STUD, V53, P1421, DOI 10.1080/00343404.2019.1577552
   Sabahi S, 2020, INT J LOGIST-RES APP, V23, P254, DOI 10.1080/13675567.2019.1683522
   Shen Y, 2016, CHINA ECON J, V9, P304, DOI 10.1080/17538963.2016.1211384
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Singh SK, 2020, TECHNOL FORECAST SOC, V150, DOI 10.1016/j.techfore.2019.119762
   Sweezy PM, 1943, REV ECON STATISTICS, V25, P93, DOI 10.2307/1924551
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Tang JJ, 2023, B ECON RES, V75, P895, DOI 10.1111/boer.12388
   Tian Y, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e21087
   Wang D, 2019, ENERG J, V40, P277, DOI 10.5547/01956574.40.SI1.dwan
   Webber DJ, 2018, ECON GEOGR, V94, P355, DOI 10.1080/00130095.2017.1419057
   Wen HW, 2024, J ENVIRON MANAGE, V350, DOI 10.1016/j.jenvman.2023.119588
   Wen HW, 2023, ECON CHANG RESTRUCT, V56, P4465, DOI 10.1007/s10644-023-09561-1
   Wen HW, 2022, INT REV FINANC ANAL, V82, DOI 10.1016/j.irfa.2022.102166
   Wu KM, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104864
   Zeng WP, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123598
   Zheng ZY, 2023, ENVIRON DEV SUSTAIN, V25, P12735, DOI 10.1007/s10668-022-02588-w
   Zhou FX, 2023, ECON CHANG RESTRUCT, V56, P4371, DOI 10.1007/s10644-023-09554-0
   Zhou FX, 2022, TELECOMMUN POLICY, V46, DOI 10.1016/j.telpol.2022.102347
   Zhu BZ, 2019, ENERG POLICY, V134, DOI 10.1016/j.enpol.2019.110946
   Zhu JP, 2022, RESOUR POLICY, V78, DOI 10.1016/j.resourpol.2022.102914
   Zhu YX, 2020, MATH PROBL ENG, V2020, DOI 10.1155/2020/3564835
NR 58
TC 6
Z9 6
U1 150
U2 179
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 NOV
PY 2024
VL 96
AR 103560
DI 10.1016/j.iref.2024.103560
EA SEP 2024
PN A
PG 20
WC Business, Finance; Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA F4W6X
UT WOS:001309842200001
DA 2025-04-22
ER

PT J
AU Fan, JH
   Mo, Y
   Cai, YN
   Zhao, YB
   Su, DC
AF Fan, Jianhong
   Mo, You
   Cai, Yunnan
   Zhao, Yabo
   Su, Dongchen
TI Evaluation of Community Resilience in Rural China-Taking Licheng
   Subdistrict, Guangzhou as an Example
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE resilience; rural community; rural revitalization; social-ecological
   system; adaptive cycle; sustainability
ID DISASTER RESILIENCE; POLICY; FRAMEWORK
AB Resilience of rural communities is becoming increasingly important to contemporary society. In this study we used a quantitative method to measure the resilience regulating ability of rural communities close to urban areas-in Licheng Subdistrict, Guangzhou City, China. The main results are as follows: (1) Rural systems close to urban areas display superior adapting and learning abilities and have a stronger overall resilience strength, the spatial distribution of which is characterized by dispersion in whole and aggregation in part; (2) the resilience of most rural economic subsystems can reach moderate or higher levels with apparent spatial agglomeration, whilst the ecological subsystem resilience and social resilience are generally weaker; the spatial distribution of the former shows a greater regional difference while the latter is in a layered layout; (3) some strategies such as rebuilding a stable ecological pattern, making use of urban resources and cultivating rural subjectivity are proposed on this basis, in order to promote the sustainable development of rural areas and realize rural revitalization. This work also gives suggestion for the creation of appropriate and effective resilience standards specifically targeted for rural community-aiming to achieve the delivery of local sustainability goals.
C1 [Fan, Jianhong; Cai, Yunnan; Zhao, Yabo; Su, Dongchen] Guangdong Univ Technol, Sch Architecture & Urban Planning, Guangzhou 510090, Peoples R China.
   [Fan, Jianhong; Zhao, Yabo] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518034, Peoples R China.
   [Mo, You] China City Dev Acad, Beijing 100009, Peoples R China.
C3 Guangdong University of Technology; Ministry of Natural Resources of the
   People's Republic of China
RP Cai, YN; Zhao, YB (corresponding author), Guangdong Univ Technol, Sch Architecture & Urban Planning, Guangzhou 510090, Peoples R China.; Zhao, YB (corresponding author), Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518034, Peoples R China.
EM fanjh7576@gdut.edu.cn; 13794367073@163.com; caiyunnan@gdut.edu.cn;
   zhaoyb@gdut.edu.cn; 3117008134@mail2.gdut.edu.cn
RI , Abel/AAK-8868-2020
FU Philosophy and Social Sciences Planning Foundation of Guangdong Province
   [GD20CGL61]; Open Fund of Key Laboratory of Urban Land Resources
   Monitoring and Simulation, Ministry of Natural Resource
   [KF-2019-04-072]; Special Project of Teaching Quality and Teaching
   Reform engineering of Undergraduate Universities in Guangdong Province
   [Yue Jiao Gao [2018] 179]; National Natural Sciences Foundation of China
   [51978173]; Natural Science Foundation of Guangdong Province
   [2019A1515011653]; Science and Technology Program of Guangzhou, China
   [201904010465]
FX This research was funded by the Philosophy and Social Sciences Planning
   Foundation of Guangdong Province(Grant No.GD20CGL61), the Open Fund of
   Key Laboratory of Urban Land Resources Monitoring and Simulation,
   Ministry of Natural Resource (Grant No.KF-2019-04-072), Special Project
   of Teaching Quality and Teaching Reform engineering of Undergraduate
   Universities in Guangdong Province (Grant No.Yue Jiao Gao [2018] 179),
   National Natural Sciences Foundation of China (Grant No.51978173),
   Natural Science Foundation of Guangdong Province (Grant
   No.2019A1515011653), Science and Technology Program of Guangzhou, China
   (201904010465).
CR Aksha SK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17061985
   An CJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166688
   Arouri M, 2017, ECON MODEL, V60, P253, DOI 10.1016/j.econmod.2016.09.022
   Ashmore FH, 2017, J RURAL STUD, V54, P408, DOI 10.1016/j.jrurstud.2016.09.004
   Barnes AP, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104698
   Beel DE, 2017, J RURAL STUD, V54, P459, DOI 10.1016/j.jrurstud.2015.05.002
   Biesbroek R, 2017, CURR OPIN ENV SUST, V28, P64, DOI 10.1016/j.cosust.2017.08.007
   Binder CR, 2013, ECOL SOC, V18, DOI 10.5751/ES-05551-180426
   Chaffin BC, 2018, GEOMORPHOLOGY, V305, P221, DOI 10.1016/j.geomorph.2017.09.038
   Chen Jia Chen Jia, 2015, Tourism Tribune, V30, P64
   Chen Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031056
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   de Deuge J, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17062031
   Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003
   Falk I, 2000, SOCIOL RURALIS, V40, P87, DOI 10.1111/1467-9523.00133
   Fei X. T., 2012, From the Soil
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fu C, 2014, J AFFECT DISORDERS, V155, P149, DOI 10.1016/j.jad.2013.10.041
   Gain AK, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01692-9
   Gunderson L, 2003, BIOL CONSERV, V2, P488
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huang XJ, 2018, ECOL INDIC, V87, P47, DOI 10.1016/j.ecolind.2017.12.043
   Jurjonas M, 2018, OCEAN COAST MANAGE, V162, P137, DOI 10.1016/j.ocecoaman.2017.10.010
   [李鹤 LI He], 2008, [地理科学进展, Progress in Geography], V27, P18
   Li QR, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125008
   Li RY, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051447
   Lin PC, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18041771
   Loreau M, 2001, SCIENCE, V294, P804, DOI 10.1126/science.1064088
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Martini B, 2020, STRUCT CHANGE ECON D, V54, P62, DOI 10.1016/j.strueco.2020.03.006
   McManus P, 2012, J RURAL STUD, V28, P20, DOI 10.1016/j.jrurstud.2011.09.003
   Okpara UT, 2018, ENVIRON SCI POLICY, V89, P59, DOI 10.1016/j.envsci.2018.07.003
   Pavel A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093776
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   Rathi A, 2022, J RURAL STUD, V93, P155, DOI 10.1016/j.jrurstud.2019.12.015
   Roberts E, 2017, J RURAL STUD, V54, P372, DOI 10.1016/j.jrurstud.2016.03.001
   Salvia R, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060889
   Sharma D, 2016, LAND USE POLICY, V57, P499, DOI 10.1016/j.landusepol.2016.06.018
   Skerratt S, 2013, J RURAL STUD, V31, P36, DOI 10.1016/j.jrurstud.2013.02.003
   Soholt S, 2018, J RURAL STUD, V64, P220, DOI 10.1016/j.jrurstud.2018.05.004
   Steiner A, 2015, J RURAL STUD, V40, P30, DOI 10.1016/j.jrurstud.2015.05.004
   Straub AM, 2020, J RURAL STUD, V73, P105, DOI 10.1016/j.jrurstud.2019.12.010
   Su F., 2013, SCI GEOGR SINICA, V33, P454
   Sun Y, 2020, LANDSCAPE URBAN PLAN, V204, DOI 10.1016/j.landurbplan.2020.103934
   Tonts M, 2014, J RURAL STUD, V36, P362, DOI 10.1016/j.jrurstud.2014.04.001
   Walker B, 2004, ECOL SOC, V9
   Wang L, 2009, J TRAUMA STRESS, V22, P444, DOI 10.1002/jts.20439
   Wilson GA, 2018, J RURAL STUD, V60, P130, DOI 10.1016/j.jrurstud.2018.03.016
   [闫海明 Yan Haiming], 2012, [地理科学进展, Progress in Geography], V31, P303
   [喻忠磊 Yu Zhonglei], 2012, [资源科学, Resources Science], V34, P581
   Zavala-Alcívar A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166300
NR 52
TC 9
Z9 10
U1 20
U2 194
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 JUN
PY 2021
VL 18
IS 11
AR 5827
DI 10.3390/ijerph18115827
PG 15
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 SP8VL
UT WOS:000659941300001
PM 34071604
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Camponeschi, C
AF Camponeschi, Chiara
TI The resilience of urban entrepreneurialism: Challenging the 'neoliberal
   turn' of municipal climate planning
SO ENVIRONMENT AND PLANNING C-POLITICS AND SPACE
LA English
DT Article
DE Resilience; urban entrepreneurialism; green growth; climate change
ID POLICY; CITY; POLITICS; CITIES; SUSTAINABILITY; GOVERNANCE; GEOGRAPHIES;
   COMMUNITIES; STRATEGIES; KNOWLEDGE
AB This paper examines how municipal governments have organized to respond to the climate crisis, particularly how the creation and circulation of official climate plans has given rise to a shared narrative of urban resilience. By building on what McCann calls 'definitional power', this paper argues that this shared narrative is being exploited to open up profitable new market opportunities that allow municipalities to pursue continued economic growth while presenting local responses as necessary and desirable interventions in the face of climate disruptions. The first half of the paper situates the rise of resilience planning within patterns of urban entrepreneurialism similar to the earlier push on the part of municipalities to obtain 'creative city' or 'smart city' status. Drawing on the insights of key informants in New York City and Copenhagen, the second half of the paper examines how, by conflating resilience with green growth and the act of bouncing back, this narrative successfully narrows down complex socio-ecological analyses into a more manageable-thus easier to manipulate-idea of resilience, one that largely excludes and discounts local community needs and values. It concludes by arguing that issues of power, equity, and accountability cannot be divorced from any conversation about resilience, and should in fact be treated as integral to the process of achieving meaningful resilience outcomes.
C1 [Camponeschi, Chiara] York Univ, Dahdaleh Inst Global Hlth Res, Suite 2150,Victor Dandaleh Bldg,4700 Keele St, Toronto, ON M3J 1P3, Canada.
C3 York University - Canada
RP Camponeschi, C (corresponding author), York Univ, Dahdaleh Inst Global Hlth Res, Suite 2150,Victor Dandaleh Bldg,4700 Keele St, Toronto, ON M3J 1P3, Canada.
EM enablingcity@gmail.com
OI Camponeschi, Chiara/0000-0002-9905-2921
FU Ontario Trillium Scholarship; Pierre Elliott Trudeau Foundation
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 Ontario Trillium Scholarship and Pierre Elliott
   Trudeau Foundation.
CR Adscheid T, 2021, URBAN RES PRACT, V14, P117, DOI 10.1080/17535069.2019.1589564
   Agyeman J, 2003, ANN AM ACAD POLIT SS, V590, P35, DOI 10.1177/0002716203256565
   Asara V, 2015, SUSTAIN SCI, V10, P375, DOI 10.1007/s11625-015-0321-9
   Biermann M, 2016, RESILIENCE-ABINGDON, V4, P59, DOI 10.1080/21693293.2015.1094170
   Bok R, 2017, CITIES, V63, P51, DOI 10.1016/j.cities.2017.01.001
   Bouteligier S, 2013, INNOVATION-ABINGDON, V26, P251, DOI 10.1080/13511610.2013.771890
   Broto VC, 2013, INT J URBAN REGIONAL, V37, P1934, DOI 10.1111/1468-2427.12050
   Bulkeley H, 2015, LOCAL ENVIRON, V20, P1405, DOI 10.1080/13549839.2015.1108715
   Bulley D, 2013, POLITICS-OXFORD, V33, P265, DOI 10.1111/1467-9256.12025
   Calzada I, 2015, J URBAN TECHNOL, V22, P23, DOI 10.1080/10630732.2014.971535
   Camponeschi C, 2021, GEOFORUM, V123, P78, DOI 10.1016/j.geoforum.2021.05.001
   City of Copenhagen, COP SOL LAB
   City of Rotterdam, 2013, ROTT CLIM CHANG AD S
   City of Stockholm, 2012, STOCKH ACT PLAN CLIM
   City of Vancouver, 2012, CLIMATE CHANGE ADAPT
   Coaffee J, 2013, POLITICS-OXFORD, V33, P240, DOI 10.1111/1467-9256.12011
   Cretney R, 2014, GEOGR COMPASS, V8, P627, DOI 10.1111/gec3.12154
   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
   Dubois B, 2016, J ENVIRON EDUC, V47, P255, DOI 10.1080/00958964.2016.1167004
   Duncan SimonS., 1988, LOCAL STATE UNEVEN D
   Duxbury N., 2004, F47 CAN POL RES NETW
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gjedde C., 2016, COPENHAGENS CLIMATE
   Greenovation, STUD TOURS SUST
   HARVEY D, 1989, GEOGR ANN B, V71, P3, DOI 10.2307/490503
   Harvey D., 1981, ANTIPODE, V13, P1
   Harvey David., 2006, Spaces of Global Capitalism: Toward a Theory of Uneven Geographical Development
   Hodson M, 2012, EUR PLAN STUD, V20, P421, DOI 10.1080/09654313.2012.651804
   Hodson Mike., 2010, CITY, V14, P298, DOI DOI 10.1080/13604813.2010.482277
   Honan K., 2019, WALL STREET J 0211
   Jessop B, 2000, URBAN STUD, V37, P2287, DOI 10.1080/00420980020002814
   Jokinen A, 2018, J ENVIRON POL PLAN, V20, P551, DOI 10.1080/1523908X.2018.1454828
   Jonas A.E., 2007, SUSTAINABLE DEV PARA, P123
   Jonas AEG, 2011, URBAN STUD, V48, P2537, DOI 10.1177/0042098011411951
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Keil R., 2014, RESILIENCE NOT CUDDL
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Leslie D, 2005, GEOFORUM, V36, P403, DOI 10.1016/j.geoforum.2005.02.001
   Levenda AM, 2019, LOCAL ENVIRON, V24, P565, DOI 10.1080/13549839.2019.1598957
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   MacLeod G, 2002, ANTIPODE, V34, P602, DOI 10.1111/1467-8330.00256
   MacLeod G, 2011, URBAN STUD, V48, P2629, DOI 10.1177/0042098011415715
   Manyena SB, 2006, DISASTERS, V30, P433
   Massey D. B., 2005, For Space
   McCann E., 2021, PROFESSIONAL SERVICE
   McCann E, 2017, ENVIRON PLANN A, V49, P1816, DOI 10.1177/0308518X17708876
   MEADOWS D H, 1972, P205
   Michelsen N, 2017, RESILIENCE-ABINGDON, V5, P61, DOI 10.1080/21693293.2016.1228159
   North P, 2017, ENVIRON PLANN A, V49, P1797, DOI 10.1177/0308518X16686353
   Nurse A, 2020, TOWN PLAN REV, V91, P357, DOI 10.3828/tpr.2020.21
   NYC, 2013, MAYOR BLOOMB ANN NYC
   NYC, 2013, MAYOR BLOOMB HUD SEC
   NYC Comptroller, 2015, COMPTR STRING AUD BU
   NYC Recovery, BUILT IT BACK
   Peck J, 2002, ANTIPODE, V34, P380, DOI 10.1111/1467-8330.00247
   Peck J, 2005, INT J URBAN REGIONAL, V29, P740, DOI 10.1111/j.1468-2427.2005.00620.x
   Reid J, 2013, INT POLIT SOCIOL, V7, P353, DOI 10.1111/ips.12028
   Roberts D., 2019, VOX 0722
   Rosol M, 2017, ENVIRON PLANN A, V49, P1710, DOI 10.1177/0308518X17714843
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Sehgal P., 2015, NEW YORK TIMES 1201
   Sengupta S., 2019, NEW YORK TIMES 0325
   Sennett R., 2012, GUARDIAN 1204
   St-Louis E, 2016, ENVIRON PLANN C, V34, P1693, DOI 10.1177/0263774X16636117
   Swyngedouw E., 2014, DEGROWTH VOCABULARY
   While A, 2004, INT J URBAN REGIONAL, V28, P549, DOI 10.1111/j.0309-1317.2004.00535.x
   Whitehead M, 2013, URBAN STUD, V50, P1348, DOI 10.1177/0042098013480965
   Wilson GA, 2013, LAND USE POLICY, V31, P298, DOI 10.1016/j.landusepol.2012.07.011
   Zukin S, 2009, INT J URBAN REGIONAL, V33, P543, DOI 10.1111/j.1468-2427.2009.00867.x
   Zukin Sharon., 1993, Landscapes of Power: From Detroit to Disney World
NR 73
TC 5
Z9 5
U1 6
U2 24
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 2399-6544
EI 2399-6552
J9 ENVIRON PLAN C-POLIT
JI Env. Plan. C-Polit. Space
PD FEB
PY 2023
VL 41
IS 1
BP 130
EP 147
DI 10.1177/23996544221117942
EA AUG 2022
PG 18
WC Environmental Studies; Geography; Regional & Urban Planning; Public
   Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration
GA 8N3HR
UT WOS:000837817200001
DA 2025-04-22
ER

PT J
AU Meyer, N
   Auriacombe, C
AF Meyer, Natanya
   Auriacombe, Christelle
TI Good Urban Governance and City Resilience: An Afrocentric Approach to
   Sustainable Development
SO SUSTAINABILITY
LA English
DT Article
DE Africa; city resilience; local governance; sustainability; sustainable
   development; urban governance; urban resilience
ID ECONOMIC-DEVELOPMENT; MANAGEMENT; POLITICS; CULTURE
AB Good urban governance is a multidimensional concept that focuses on the improvement of the quality of living conditions of local citizens, especially those of marginalised and disadvantaged communities. Cities face various adversities and challenges, such as unsustainable use of natural resources, lack of housing and infrastructure, the prevalence of poverty, rapid urbanisation, crime, disasters and effects of climate change. City resilience is an inclusive process that refers to a city's ability to sustainably manage unexpected and expected risk-related events. In addition, it includes a city's capacity to adapt to future challenges from a strategic and spatial perspective. This paper aims to analyze the nature of sustainable development in general. More specifically, it sets out to analyze the importance of urban governance in Africa and the interrelationship of good urban governance and city resilience. The purpose is to provide a theoretical underpinning and a practical orientation for the role that urban governance could play in sustainable development. The methodology is based on a document analysis by way of an intensive literature study. The qualitative description of the findings focused on the themes that emerged from the research and the manner in which they were conceptualised. It was established that while African countries have experienced certain successes, there have been many challenges as far as 'good' and 'sustainable' urban governance is concerned. Results indicated that the notion of 'good urban governance' is a prerequisite for African countries to design and execute sustainable development initiatives successfully.
C1 [Meyer, Natanya] North West Univ, Fac Econ & Management Sci, WorkWell Res Unit, Sch Management, ZA-1900 Vanderbijlpark, South Africa.
   [Auriacombe, Christelle] Univ Johannesburg, Sch Publ Management Governance & Publ Policy, ZA-2006 Auckland Pk, South Africa.
C3 North West University - South Africa; University of Johannesburg
RP Meyer, N (corresponding author), North West Univ, Fac Econ & Management Sci, WorkWell Res Unit, Sch Management, ZA-1900 Vanderbijlpark, South Africa.
EM natanya.meyer@nwu.ac.za; christellea@uj.ac.za
RI Meyer, Natanya/T-9821-2017
OI Meyer, Natanya/0000-0003-3296-7374
CR Ackron J., 2018, INTERNAL HDB CTR PUB
   African Development Bank Group, 2018, E AFR EC OUTL
   [Anonymous], 1999, UNOBTRUSIVE MEASURES
   [Anonymous], 2014, Delivering Change: Building Homes where we Need them
   [Anonymous], 1984, CITIES WEALTH NATION
   [Anonymous], Africa Development Indicators
   [Anonymous], 2019, World Economic Situation and Prospects 2019
   [Anonymous], 2000, IMPLEMENTING SUSTAIN
   [Anonymous], INT AFFAIRS
   Anyadike, 2012, CULTURE SOC, V3, P313, DOI [https://doi.org/10.1016/j.ccs.2012.10.001, DOI 10.1016/J.CCS.2012.10.001]
   Arifeen M, 2012, PAKISTAN GULF EC, V31, P1
   Auriacombe C.J., 2014, UJ INTERNAL HDB
   Auriacombe C.J., 2016, African Journal of Public Affairs, V9, P1
   Auriacombe C. J., 2019, CEP MODULE 3 SUSTAIN, P1
   Auriacombe C.J., 2010, UJ INTERNAL HDB, P1
   Avritzer L, 2010, LAT AM RES REV, V45, P166, DOI 10.1353/lar.2010.0044
   Ayittey G., 1997, AFRICA IN CHAOS
   Ayittey G., 2002, Sustainable Development: Promoting Progress or Perpetuating Poverty
   Ayittey G.B.N., COLONIALISM IMPERIAL
   Babbie E.R., 2003, PRACTICE SOCIAL RES, V10th
   Bello-Schunemann J., 2016, Institute for Security Studies Papers, V2016, P1
   Bicknell J., 2009, Adapting Cities to Climate Change: Understanding and Addressing the Development Challenges
   Bowen GA, 2009, QUAL RES J, V9, P27, DOI 10.3316/QRJ0902027
   Clarke A, 2014, POLICY INTERNET, V6, P393, DOI 10.1002/1944-2866.POI377
   Crane Judith K., 2017, The Journal of Ethics, V21, P291, DOI [DOI 10.1007/S10892-017-9249-X, 10.1007/s10892-017-9249-x]
   Cummings TG., 2001, ESSENTIALS ORG DEV C
   De Wet M.M.M., 2018, THESIS
   Díaz-Díaz R, 2017, ENERGIES, V10, DOI 10.3390/en10030262
   Donaghy MM, 2011, COMP POLIT, V44, P83, DOI 10.5129/001041510X13815229366606
   Edigheji O., 2008, AFRICA DEV, VXXXIII, P1
   Fernández IC, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080820
   Fournier V, 2008, INT J SOCIOL SOC POL, V28, P528, DOI 10.1108/01443330810915233
   Fox-Kämper R, 2018, LANDSCAPE URBAN PLAN, V170, P59, DOI 10.1016/j.landurbplan.2017.06.023
   Goldsmith M., 2017, URBAN GOVERNANCE BRI, P15
   GOLEMBIEWSKI RT, 1993, INT J PUBLIC ADMIN, V16, P1667, DOI 10.1080/01900699308524866
   Gurran N., 2017, Urban planning and the housing market
   Heywood C., 1985, C ACHEBE THINGS FALL
   HUYSAMEN G.K., 1994, Methodology for social and behahavioural sciences
   Hydroworld, HYDR AFR NAV CONT UN
   Idang GE, 2015, PHRONIMON, V16, P97
   IUCN, 1991, CAR EARTH
   Johnson C., 2001, Development Policy Review, V19, P521, DOI 10.1111/1467-7679.00149
   Johnson T, 2013, J ENVIRON POL PLAN, V15, P109, DOI 10.1080/1523908X.2012.752183
   Kotze L.J., 2018, Global Journal of Comparative Law, V7, P5, DOI 10.1163/2211906X-00701002
   Kumssa A., 2004, International Journal of Social Economics, V31, P840, DOI [10.1108/03068290410550638, DOI 10.1108/03068290410550638]
   Lakner Z, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041090
   Lawal G., 2007, HUMANITY SOC SCI J, V2, P1
   Layman A.J., 2011, THESIS
   Leke A., 2010, What's driving Africa's growth?
   Lucci P., 2015, WHAT WORKS IMPROVING, V4, P1
   Maloba T., 2019, ADM PUBLICA, V27, P1
   Mayer N., 2005, City Government's Role in the Community Development System
   Mazrui AliA., 1986, The Africans: A Triple Heritage
   McKinsey Company, WHATS DRIVING AFRICA
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Meyer D., 2014, Mediterranean Journal of Social Sciences, V5, P613, DOI DOI 10.5901/MJSS.2014.V5N4P613
   Meyer D F., 2017, Journal of Advanced Research in Law and Economics, V8, P1377
   Meyer D. F., 2017, J EC MANAGEMENT PERS, V11, P504
   Meyer N, 2016, POL J MANAG STUD, V14, P150, DOI 10.17512/pjms.2016.14.2.14
   Meyer N., 2017, International Journal of Economic Perspectives, V11, P429
   Moeletsi J.M.D., 2004, THESIS
   Njoh A.J., 2016, TRADITION CULTURE DE
   Obeng-Odoom F, 2012, NORSK GEOGR TIDSSKR, V66, P204, DOI 10.1080/00291951.2012.707989
   Olah J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071853
   Osterhammel J., 2005, COLONIALISM THEORETI, V2
   Phiri A., 2016, MANAGING GLOBAL TRAN, V14, P31
   Pierzyna Janusz., 2019, FORUM SCI OECONOMIA, V7, P85
   Portney K, 2005, PUBLIC ADMIN REV, V65, P579, DOI 10.1111/j.1540-6210.2005.00485.x
   Sadaf R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030588
   Shitta-bey O A., 2014, International Letters of Social and Humanistic Sciences, V16, P14
   Sjöstedt M, 2015, ECOL SOC, V20, DOI 10.5751/ES-08034-200423
   Squier M.M., 2003, THESIS
   Stent W, 2010, PAC ACCOUNT REV, V22, P92, DOI 10.1108/01140581011074494
   Straus A., 2008, Basics of qualitative research
   SWART J.J., 2014, African Journal for Physical, Health Education, Recreation and Dance Supplement, V2, P251
   Techau M, 2014, EUR J INTEGR MED, V6, P268, DOI 10.1016/j.eujim.2014.03.003
   Thiele L.P., 2013, Sustainability
   Tsatsire I., 2008, THESIS
   UNECA, 2015, EC REP AFR 2015 IND
   United Nations, WORLDS CIT 2016
   United Nations Habitat, URB RES HUB
   United Nations Human Settlements Programme Ecoplan International (UN-HABITAT EPI), 2005, PROM LOC EC DEV STRA
   United Nations (UN), 2013, AGR AFR
   United Nations (UN) Economic and Social Council (ECOSOC), 2012, P 8 SESS COMM FOOD S
   Valler D, 2010, REG STUD, V44, P139, DOI 10.1080/00343400802378768
   Van der Waldt G., 2018, GOOD GOVERNANCE SUST
   Vergotine H, 2016, JCMAN, V13, P674
   Williams PD, 2009, J MOD AFR STUD, V47, P603, DOI 10.1017/S0022278X09990048
NR 88
TC 33
Z9 35
U1 2
U2 68
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT 1
PY 2019
VL 11
IS 19
AR 5514
DI 10.3390/su11195514
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 JI5RS
UT WOS:000493525500373
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Rana, IA
   Bhatti, SS
   Jamshed, A
   Ahmad, S
AF Rana, Irfan Ahmad
   Bhatti, Saad Saleem
   Jamshed, Ali
   Ahmad, Shakil
TI An approach to understanding the intrinsic complexity of resilience
   against floods: Evidences from three urban communities of Pakistan
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Capacity; Climate change adaptation; Disaster risk reduction; Pakistan;
   Urban flooding
ID VULNERABILITY; RISK; FRAMEWORK; HAZARDS; AREAS; MODEL
AB Rapid and unplanned urbanization has resulted in the settlement and expansion of marginalized communities in flood-prone areas. Consequently, the devastating impacts of urban flooding have increased recently, further augmented by the changing climatic patterns resulting in more frequent flooding. However, to effectively enhance resilience at the community level, it is essential first to understand its components and indicators. This study proposed and tested a methodology to assess community resilience against urban flooding - 57 indicators of resilience were identified, which were classified into six domains, namely social, economic, infrastructural, institutional, natural, and psychological. The data was collected through a questionnaire survey in three com-munities of Rawalpindi, Sialkot, and Muzaffargarh cities in the province of Punjab, Pakistan. The data of resilience indicators were standardized, and an index-based approach was used to assess the community resil-ience in the six domains. The relative importance of each domain was evaluated through input from field experts translated into weights through the analytic hierarchy process method. Thereafter, overall community resilience was constructed, and statistical methods were employed to compare resilience and its domains. A significant difference in resilience was observed among the selected communities. Recommendations based on relative urgency, complexity, and impact were devised to help institutions make informed decisions to improve com-munity resilience against floods.
C1 [Rana, Irfan Ahmad] Natl Univ Sci & Technol NUST, Dept Urban & Reg Planning, H-12 Sect, Islamabad 44000, Pakistan.
   [Bhatti, Saad Saleem] Ulster Univ, Sch Geog & Environm Sci, Coleraine, Londonderry, North Ireland.
   [Jamshed, Ali] Univ Stuttgart, Inst Spatial & Reg Planning IREUS, Stuttgart, Germany.
   [Ahmad, Shakil] Natl Univ Sci & Technol NUST, NUST Inst Civil Engn, Islamabad, Pakistan.
C3 National University of Sciences & Technology - Pakistan; Ulster
   University; University of Stuttgart; National University of Sciences &
   Technology - Pakistan
RP Rana, IA (corresponding author), Natl Univ Sci & Technol NUST, Dept Urban & Reg Planning, H-12 Sect, Islamabad 44000, Pakistan.
EM irfanrana90@hotmail.com; s.bhatti@ulster.ac.uk;
   ali.jamshed@ircus.uni-stuttgart.de; shakilahmad@nice.nust.edu.pk
RI Rana, Irfan Ahmad/C-2560-2017; Jamshed, Ali/AAF-6809-2020
OI Bhatti, Saad Saleem/0000-0002-1472-3731; Jamshed,
   Ali/0000-0003-4802-1225
CR Abenayake CC, 2018, ENVIRON DEV, V27, P34, DOI 10.1016/j.envdev.2018.08.002
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ahmad D, 2019, NAT HAZARDS, V99, P337, DOI 10.1007/s11069-019-03743-9
   Ahsan A, 2018, DLY TIMES
   Ainuddin S, 2012, INT J DISAST RISK RE, V2, P25, DOI 10.1016/j.ijdrr.2012.07.003
   Ainuddin S, 2012, NAT HAZARDS, V63, P909, DOI 10.1007/s11069-012-0201-x
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   [Anonymous], 2008, Base Plan
   [Anonymous], 2017, MIGRATION FUTURES AS
   [Anonymous], 2016, Multidimensional Poverty in Pakistan
   [Anonymous], 2009, UNISDR TERM DIS RISK
   Asadzadeh A, 2015, INT J DISAST RISK RE, V14, P504, DOI 10.1016/j.ijdrr.2015.10.002
   Barros V R., 2014, Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Bonanno GA, 2004, AM PSYCHOL, V59, P20, DOI 10.1037/0003-066X.59.1.20
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chan SL, 2014, SOC INDIC RES, V115, P387, DOI 10.1007/s11205-012-0225-3
   Chang S. E., 2009, BRIDGE, V39, P36
   Community Regional Resilience Institute, 2013, DEF COMM RES AN, P14
   Cutter S L., 2008, Geography, V1, P2301
   Cutter SL, 2007, ENVIRONMENT, V49, P8, DOI 10.3200/ENVT.49.7.8-21
   Cutter SL, 2016, ANN AM ASSOC GEOGR, V106, P1236, DOI 10.1080/24694452.2016.1194740
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Deria A, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101608
   EM-CRED, 2018, EM CRED DAT 2018
   Feldmeyer D, 2020, ECOL INDIC, V119, DOI 10.1016/j.ecolind.2020.106861
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gan G, 2007, ASA SIAM SER STAT AP, V20, P1, DOI 10.1137/1.9780898718348
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Halkos G, 2020, CLIM DEV, V12, P57, DOI 10.1080/17565529.2019.1596782
   Halkos G, 2018, BUS STRATEG ENVIRON, V27, P547, DOI 10.1002/bse.2019
   Hamidi AR, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101496
   HILLS A., 2000, Journal of Contingencies and Crisis Management, V8, P109, DOI [10.1111/1468-5973.00130, DOI 10.1111/1468-5973.00130]
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hung HC, 2016, LAND USE POLICY, V50, P48, DOI 10.1016/j.landusepol.2015.08.029
   Jamshed A, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106704
   Jamshed A, 2019, INT J DISASTER RESIL, V10, P301, DOI 10.1108/IJDRBE-06-2019-0039
   Jamshed A, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101109
   Joerin J, 2012, INT J DISAST RISK RE, V1, P44, DOI 10.1016/j.ijdrr.2012.05.006
   Kapucu N, 2013, RISK HAZARDS CRISIS, V4, P215, DOI 10.1002/rhc3.12043
   Keck M, 2013, ERDKUNDE, V67, P5, DOI 10.3112/erdkunde.2013.01.02
   Khan A., 2017, DAW NEWSP
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kuang D, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.111025
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Manyena SB, 2006, DISASTERS, V30, P433
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mirza MMQ, 2011, REG ENVIRON CHANGE, V11, pS95, DOI 10.1007/s10113-010-0184-7
   Mochizuki J, 2018, DISASTERS, V42, P361, DOI 10.1111/disa.12239
   Mustafa D, 2005, ANN ASSOC AM GEOGR, V95, P566, DOI 10.1111/j.1467-8306.2005.00475.x
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Orencio PM, 2013, INT J DISAST RISK RE, V3, P62, DOI 10.1016/j.ijdrr.2012.11.006
   Qaisrani A, 2018, EARTH SYST ENVIRON, V2, P455, DOI 10.1007/s41748-018-0059-5
   Rana IA, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101839
   Rana IA, 2018, INT J DISAST RISK SC, V9, P359, DOI 10.1007/s13753-018-0179-4
   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
   Rose A., 2007, Environmental Hazards, V7, P383, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
   Saaty TL, 2012, DECISION MAKING THEORIES AND PRACTICES FROM ANALYSIS TO STRATEGY, P100, DOI 10.4018/978-1-4666-1589-2.ch006
   Saaty TL., 1980, Agricultural Economics Review, V70, P10
   Sajjad M, 2021, APPL GEOGR, V126, DOI 10.1016/j.apgeog.2020.102367
   Shah AA, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101341
   Shah AA, 2018, NAT HAZARDS, V93, P147, DOI 10.1007/s11069-018-3293-0
   Skouloudis A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187437
   Surminski S, 2016, NAT CLIM CHANGE, V6, P332
   Tierney K, 2012, ANNU REV ENV RESOUR, V37, P341, DOI 10.1146/annurev-environ-020911-095618
   Ullah F, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101967
   Walker B, 2002, CONSERV ECOL, V6
   Webb GaryR., 2018, HDB DISASTER RES, P109, DOI DOI 10.1007/978-3-319-63254-4
   Winsemius HC, 2016, NAT CLIM CHANGE, V6, P381, DOI [10.1038/nclimate2893, 10.1038/NCLIMATE2893]
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Yoon DK, 2016, J ENVIRON PLANN MAN, V59, P436, DOI 10.1080/09640568.2015.1016142
   Zhou HJ, 2010, NAT HAZARDS, V53, P21, DOI 10.1007/s11069-009-9407-y
NR 75
TC 27
Z9 29
U1 6
U2 47
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 2021
VL 63
AR 102442
DI 10.1016/j.ijdrr.2021.102442
EA JUL 2021
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 UD7YG
UT WOS:000687419800003
OA Green Published
DA 2025-04-22
ER

PT J
AU Gómez-Baggethun, E
   Barton, DN
AF Gomez-Baggethun, Erik
   Barton, David N.
TI Classifying and valuing ecosystem services for urban planning
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Cities; Urban ecosystems; Ecosystem services; Ecosystem disservices;
   Resilience; Valuation; Green infrastructure; Urban planning
ID TRADITIONAL ECOLOGICAL KNOWLEDGE; POLITICAL-ECONOMY; NOISE-REDUCTION;
   CARBON STORAGE; AIR-POLLUTION; WATER-QUALITY; LEAF-AREA; LAND-USE;
   DIVERSITY; VALUATION
AB While technological progress has fostered the conception of an urban society that is increasingly decoupled from ecosystems, demands on natural capital and ecosystem services keep increasing steadily in our urbanized planet. Decoupling of cities from ecological systems can only occur locally and partially, thanks to the appropriation of vast areas of ecosystem services provision beyond the city boundaries. Conserving and restoring ecosystem services in urban areas can reduce the ecological footprints and the ecological debts of cities while enhancing resilience, health, and quality of life for their inhabitants. In this paper we synthesize knowledge and methods to classify and value ecosystem services for urban planning. First, we categorize important ecosystem services and disservices in urban areas. Second, we describe valuation languages (economic costs, socio-cultural values, resilience) that capture distinct value dimensions of urban ecosystem services. Third, we identify analytical challenges for valuation to inform urban planning in the face of high heterogeneity and fragmentation characterizing urban ecosystems. The paper discusses various ways through which urban ecosystems services can enhance resilience and quality of life in cities and identifies a range of economic costs and socio-cultural impacts that can derive from their loss. We conclude by identifying knowledge gaps and challenges for the research agenda on ecosystem services provided in urban areas. (C) 2012 Elsevier B.V. All rights reserved.
C1 [Gomez-Baggethun, Erik] Univ Autonoma Barcelona, Inst Environm Sci & Technol, Bellaterra 08193, Spain.
   [Gomez-Baggethun, Erik] Autonomous Univ Madrid, Dept Ecol, Social Ecol Syst Lab, Madrid, Spain.
C3 Autonomous University of Barcelona; Autonomous University of Madrid
RP Gómez-Baggethun, E (corresponding author), Univ Autonoma Barcelona, Fac Sci, Inst Environm Sci & Technol, Bldg C5, Bellaterra 08193, Spain.
EM erik.gomez@uab.es
RI Gomez-Baggethun, Erik/LSL-9726-2024; Barton, David/KGM-8862-2024
FU ERA-Net BiodivERsA through the Spanish Ministry of Science and Education
   [PRI-PIMBDV-2011-1179]
FX We thank two anonymous reviewers for useful comments to a previous draft
   of this paper. This research was funded by the ERA-Net BiodivERsA
   through the Spanish Ministry of Science and Education project 'Urban
   Biodiversity and Ecosystem Services' (URBES) (PRI-PIMBDV-2011-1179).
CR Altieri M. A., 1999, Agriculture and Human Values, V16, P131, DOI 10.1023/A:1007545304561
   Altman I., HUMAN BEHAV ENV, V12
   Anderson L. M., 1985, Southern Journal of Applied Forestry, V9, P162
   Andersson E, 2007, ECOL APPL, V17, P1267, DOI 10.1890/06-1116.1
   [Anonymous], ECOL EC
   [Anonymous], 2006, VALUE NEW JERSEYS EC
   [Anonymous], 1998, J ARBORIC
   [Anonymous], 2003, ECOL ENG, DOI DOI 10.1016/S0925-8574(03)00011-9
   [Anonymous], WO59 US DEP AGR FOR
   [Anonymous], 2005, URBAN FORESTS TREES
   [Anonymous], 2007, USDA FOREST SERVICE
   [Anonymous], 2010, WORLD URB PROSP 2009
   [Anonymous], 2003, Ecosystems and Human Well-Being
   Ausubel JH, 1996, AM SCI, V84, P166
   AYLOR D, 1972, J ACOUST SOC AM, V51, P197, DOI 10.1121/1.1912830
   Ayres RU, 2005, ECOL ECON, V55, P96, DOI 10.1016/j.ecolecon.2004.07.023
   Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001
   Barton D., 2012, Valuation of Ecosystem Services From Nordic Watersheds-from awareness raising to policy support, P506
   Bateman IJ, 2011, ENVIRON RESOUR ECON, V50, P365, DOI 10.1007/s10640-011-9476-8
   Bayer P, 2009, J ENVIRON ECON MANAG, V58, P1, DOI 10.1016/j.jeem.2008.08.004
   BEEBEE TJC, 1979, BIOL CONSERV, V15, P241, DOI 10.1016/0006-3207(79)90046-6
   Bennett Larry., 1997, NEIGHBORHOOD POLITIC
   Bible D. S., 2002, PROPERTY MANAGEMENT, V20, P383
   Bixler RD, 1997, ENVIRON BEHAV, V29, P443, DOI 10.1177/001391659702900401
   Blair RB, 1996, ECOL APPL, V6, P506, DOI 10.2307/2269387
   Blair RB, 1997, BIOL CONSERV, V80, P113, DOI 10.1016/S0006-3207(96)00056-0
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Boyer T, 2004, WETLANDS, V24, P744, DOI 10.1672/0277-5212(2004)024[0744:VUWARO]2.0.CO;2
   Brander L., 2010, 430 FEEM
   Brander LM, 2011, J ENVIRON MANAGE, V92, P2763, DOI 10.1016/j.jenvman.2011.06.019
   Brouwer R, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003466
   Chan KMA, 2012, ECOL ECON, V74, P8, DOI 10.1016/j.ecolecon.2011.11.011
   Chaparro L., 2009, ECOLOGICAL SERVICES
   Chattopadhyay S, 1999, LAND ECON, V75, P22, DOI 10.2307/3146991
   Chavis DM, 1999, J COMMUNITY PSYCHOL, V27, P635, DOI 10.1002/(SICI)1520-6629(199911)27:6<635::AID-JCOP1>3.0.CO;2-F
   Chiesura A, 2004, LANDSCAPE URBAN PLAN, V68, P129, DOI 10.1016/j.landurbplan.2003.08.003
   Coles RW, 2000, LANDSCAPE URBAN PLAN, V52, P181, DOI 10.1016/S0169-2046(00)00132-8
   Costanza R, 2006, FRONT ECOL ENVIRON, V4, P465, DOI 10.1890/1540-9295(2006)4[465:ANVFNO]2.0.CO;2
   D'Amato G, 2000, CLIN EXP ALLERGY, V30, P628
   Daily G.C., 2002, The New Economy of Nature: The Quest to Make Conservation Profitable
   Danielsen F, 2005, SCIENCE, V310, P643, DOI 10.1126/science.1118387
   Day B., 2003, 0603 CSERGE EDM
   DCLG, 2007, ID SUBR HOUS MARK AR
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   DeStefano Stephen, 2005, Urban Ecosystems, V8, P131, DOI 10.1007/s11252-005-4376-8
   Dixon TH, 2006, NATURE, V441, P587, DOI 10.1038/441587a
   Dobbs C, 2011, LANDSCAPE URBAN PLAN, V99, P196, DOI 10.1016/j.landurbplan.2010.11.004
   Douai A, 2009, ENVIRON VALUE, V18, P257, DOI 10.3197/096327109X12474739376415
   Duany A., 2010, The Smart Growth Manual
   Dye C, 2008, SCIENCE, V319, P766, DOI 10.1126/science.1150198
   Environment D.G., 2012, MULT GREEN INFR MARC
   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
   Escobedo PJ, 2008, J ENVIRON MANAGE, V86, P148, DOI 10.1016/j.jenvman.2006.11.029
   European Environment Agency, 2011, GREEN INFRASTRUCTURE
   Fang CF, 2003, LANDSCAPE URBAN PLAN, V63, P187, DOI 10.1016/S0169-2046(02)00190-1
   FARBER S, 1987, J ENVIRON ECON MANAG, V14, P143, DOI 10.1016/0095-0696(87)90012-X
   FELDMAN RM, 1990, ENVIRON BEHAV, V22, P183, DOI 10.1177/0013916590222002
   Folke C, 1997, AMBIO, V26, P167
   Geron C.D., 1994, J GEOPHYS RES, V99
   Gómez-Baggethun E, 2012, GLOBAL ENVIRON CHANG, V22, P640, DOI 10.1016/j.gloenvcha.2012.02.005
   Gómez-Baggethun E, 2011, PROG PHYS GEOG, V35, P613, DOI 10.1177/0309133311421708
   Gómez-Baggethun E, 2010, ISS ENVIRON SCI TECH, V30, P105, DOI 10.1039/9781849731058-00105
   Gómez-Baggethun E, 2010, CONSERV BIOL, V24, P721, DOI 10.1111/j.1523-1739.2009.01401.x
   Gómez-Baggethun E, 2010, ECOL ECON, V69, P1209, DOI 10.1016/j.ecolecon.2009.11.007
   Gotham KevinFox., 2002, CITY COMMUNITY, V1, P267, DOI [10.1111/1540-6040.00023, DOI 10.1111/1540-6040.00023]
   Groening G, 1995, ACTA HORTIC, P53, DOI 10.17660/ActaHortic.1995.391.4
   Guo ZW, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013113
   Hardin Perry J., 2007, Urban Forestry & Urban Greening, V6, P63, DOI 10.1016/j.ufug.2007.01.005
   Higgins SI, 1997, ECOL ECON, V22, P155, DOI 10.1016/S0921-8009(97)00575-2
   Ishii M., 1994, INTER-NOISE and NOISE-CON Congress and Conference Proceedings, V1994, P595
   Jim CY, 2009, CITIES, V26, P187, DOI 10.1016/j.cities.2009.03.003
   JO HK, 1995, J ENVIRON MANAGE, V45, P109, DOI 10.1006/jema.1995.0062
   Jorgensen Anna, 2007, Urban Forestry & Urban Greening, V6, P267, DOI 10.1016/j.ufug.2007.05.004
   KAPLAN R, 1985, LANDSCAPE PLAN, V12, P161, DOI 10.1016/0304-3924(85)90058-9
   Kaplan S., 1989, EXPERIENCE NATURE PS, P340
   Kerr AM, 2007, BIOSCIENCE, V57, P102, DOI 10.1641/B570202
   Kim KS, 2007, TRANSPORT RES D-TR E, V12, P275, DOI 10.1016/j.trd.2007.03.002
   Koskela H, 2000, GEOFORUM, V31, P269, DOI 10.1016/S0016-7185(99)00033-0
   KRAGH J, 1981, J SOUND VIB, V74, P235, DOI 10.1016/0022-460X(81)90506-X
   Krausmann F, 2009, ECOL ECON, V68, P2696, DOI 10.1016/j.ecolecon.2009.05.007
   Kroll C.A., 2010, Hedonic Valuation of Residential Resource Efficiency Variables. A Review of the Literature
   Lafortezza R, 2009, URBAN FOR URBAN GREE, V8, P97, DOI 10.1016/j.ufug.2009.02.003
   Leggett CG, 2000, J ENVIRON ECON MANAG, V39, P121, DOI 10.1006/jeem.1999.1096
   Limburg KE, 2002, ECOL ECON, V41, P409, DOI 10.1016/S0921-8009(02)00090-3
   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
   Maas J, 2006, J EPIDEMIOL COMMUN H, V60, P587, DOI 10.1136/jech.2005.043125
   Martinez-Alier J, 1998, ECOL ECON, V26, P277, DOI 10.1016/S0921-8009(97)00120-1
   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
   MCMILLAN ML, 1980, LAND ECON, V56, P315, DOI 10.2307/3146034
   McPherson E. G., 1997, Urban Ecosystems, V1, P49, DOI 10.1023/A:1014350822458
   McPherson E. G., 1999, J ARBORICULT, V25, P235
   McPherson E. G., 1998, PSW171 USDA FOR SERV, V80, P237
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Melles S, 2003, CONSERV ECOL, V7
   MORENOGARCIA MC, 1994, INT J CLIMATOL, V14, P705, DOI 10.1002/joc.3370140609
   Moskow A, 1999, ENVIRON URBAN, V11, P127, DOI 10.1177/095624789901100211
   Muller N., 2010, URBAN BIODIVERSITY D
   Myers J. P., 1997, Natures Services: Societal Dependence on Natural Ecosystems
   Nasr J., 1996, PUBL SER HAB, V1, P302
   Norton BG, 1997, ENVIRON ETHICS, V19, P227, DOI 10.5840/enviroethics199719313
   Nowak D J., 1994, Atmospheric carbon dioxide reduction by Chicago's urban forest. Chicago's urban forest ecosystem: results of the Chicago Urban Forest Climate Project, P83
   Nowak DJ, 1996, FOREST SCI, V42, P504
   Nowak DJ, 2002, ENVIRON POLLUT, V116, P381, DOI 10.1016/S0269-7491(01)00214-7
   Nowak DJ., 1994, CHICAGOS URBAN FORES, P63
   Odum EugeneP., 1989, ECOLOGY OUR ENDANGER
   Page B, 2002, GEOFORUM, V33, P41, DOI 10.1016/S0016-7185(01)00022-7
   Pascual U., 2011, The Economics of Ecosystems and Biodiversity: Ecological and Economic Foundations, P183, DOI [10.4324/9781849775489, DOI 10.4324/9781849775489]
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Patton M., 2002, QUALITATIVE RES EVAL
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Rees W, 1996, ENVIRON IMPACT ASSES, V16, P223, DOI 10.1016/S0195-9255(96)00022-4
   Rees WE., 1992, ENVIRON URBAN, V4, P121, DOI [10.1177/095624789200400212, DOI 10.1177/095624789200400212]
   Sander H, 2010, ECOL ECON, V69, P1646, DOI 10.1016/j.ecolecon.2010.03.011
   Saure Christoph, 1996, Linnean Society Symposium Series, V18, P47
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Scott Klaus I., 1998, Journal of Arboriculture, V24, P224
   SHAMAI S, 1991, GEOFORUM, V22, P347, DOI 10.1016/0016-7185(91)90017-K
   Simpson J.R., 1988, J ARBORICULT, V24, P201
   Smit J., 1992, Environment and Urbanization, V4, P141, DOI 10.1177/095624789200400214
   SMITH VK, 1995, J POLIT ECON, V103, P209, DOI 10.1086/261981
   Spash CL, 2012, ECOL ECON, V77, P36, DOI 10.1016/j.ecolecon.2012.02.004
   STOKOLS D, 1990, AM PSYCHOL, V45, P641, DOI 10.1037/0003-066X.45.5.641
   Sunyer J, 2002, THORAX, V57, P687, DOI 10.1136/thorax.57.8.687
   TEEB, 2011, MAN CIT EC SERV URB
   TEEB, 2010, The Economics of Ecosystem Services and Biodiversity: Ecological and Economic Foundations
   Tommasi D, 2004, CAN ENTOMOL, V136, P851
   Tyrväinen L, 2000, J ENVIRON ECON MANAG, V39, P205, DOI 10.1006/jeem.1999.1097
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Vauramo S, 2011, URBAN ECOSYST, V14, P59, DOI 10.1007/s11252-010-0140-9
   Villarreal EL, 2005, ECOL ENG, V25, P1, DOI 10.1016/j.ecoleng.2004.11.008
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2010, ENVIRON RESOUR ECON, V45, P183, DOI 10.1007/s10640-009-9311-7
   Williams D R., 1989, MEASURING PLACE ATTA
   WILLIAMS DR, 1992, LEISURE SCI, V14, P29, DOI 10.1080/01490409209513155
   Xiao Qingfu, 1998, Journal of Arboriculture, V24, P235
NR 139
TC 1136
Z9 1300
U1 52
U2 1921
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD FEB
PY 2013
VL 86
BP 235
EP 245
DI 10.1016/j.ecolecon.2012.08.019
PG 11
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 128XR
UT WOS:000317803500030
DA 2025-04-22
ER

PT J
AU Rodriguez, M
   Fu, GT
   Butler, D
   Yuan, ZG
   Sharma, K
AF Rodriguez, Mayra
   Fu, Guangtao
   Butler, David
   Yuan, Zhiguo
   Sharma, Keshab
TI Exploring the Spatial Impact of Green Infrastructure on Urban Drainage
   Resilience
SO WATER
LA English
DT Article
DE CSO; exploratory spatial data analysis; green infrastructure;
   resilience; resilience cluster; sewer system; urban flooding
ID SENSITIVITY; PLACEMENT; SELECTION; DESIGN
AB This paper explores the spatial impact of green infrastructure (GI) location on the resilience of urban drainage systems by the application of exploratory spatial data analysis (ESDA). A framework that integrates resilience assessment, location sensitivity analysis and ESDA is presented and applied to an urban catchment in the United Kingdom. Three types of GI, namely a bioretention cell, permeable pavement, and green roof, are evaluated separately and simultaneously. Resilience is assessed using stress-strain tests, which measure the system performance based on the magnitude and duration of sewer flooding and combined sewer overflows. Based on the results of a location sensitivity analysis, ESDA is applied to determine if there is spatial autocorrelation, spatial clusters, and spatial outliers. Results show a stronger spatial dependency using sewer flooding indicators. Different GI measures present differences in spatial autocorrelation and spatial cluster results, highlighting the differences in their underlying mechanisms. The finding of conflicting spatial clusters indicates that there are trade-offs in the placement of GI in certain locations. The proposed framework can be used as a tool for GI spatial planning, helping in the development of a systematic approach for resilience-performance orientated GI design and planning.
C1 [Rodriguez, Mayra] Univ Exeter, Ctr Water Syst, QUEX Inst, North Pk Rd, Exeter EX4 4QF, Devon, England.
   [Fu, Guangtao; Butler, David] Univ Exeter, Ctr Water Syst, CEMPS, North Pk Rd, Exeter EX4 4QF, Devon, England.
   [Yuan, Zhiguo; Sharma, Keshab] Univ Queensland, Adv Water Management Ctr, Level 4,Gehrmann Labs Bldg 60, Brisbane, Qld 4072, Australia.
C3 University of Exeter; University of Exeter; University of Queensland
RP Rodriguez, M (corresponding author), Univ Exeter, Ctr Water Syst, QUEX Inst, North Pk Rd, Exeter EX4 4QF, Devon, England.
EM mr604@exeter.ac.uk; g.fu@exeter.ac.uk; d.butler@exeter.ac.uk;
   z.yuan@awmc.uq.edu.au; k.sharma@awmc.uq.edu.au
RI Fu, Guangtao/ABE-3874-2021; Sharma, Keshab/B-1579-2012; yuan,
   zhiguo/C-4980-2013; Butler, David/I-2991-2012
OI Sharma, Keshab/0000-0002-2366-9044; Rodriguez,
   Mayra/0000-0002-0936-4201; yuan, zhiguo/0000-0002-7566-1482; Butler,
   David/0000-0001-5515-3416
FU QUEX Institute-a joint initiative of The University of Queensland;
   University of Exeter
FX This research was funded by QUEX Institute-a joint initiative of The
   University of Queensland and the University of Exeter.
CR ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Anselin L, 2007, SOC INDIC RES, V82, P287, DOI 10.1007/s11205-006-9034-x
   Arribas-Bel D., 2019, J OPEN SOURCE ED, V2, P42
   Bach PM, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138282
   BALLARD B., 2015, The SuDS Manual
   Bondarenko M., CENSUS PROJECTION DI, DOI [10.5258/SOTON/WP00684, DOI 10.5258/SOTON/WP00684]
   Browder G., 2019, INTEGRATING GREEN GR, DOI [10.46830/wrirpt.18.00028, DOI 10.46830/WRIRPT.18.00028]
   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
   Centre for Ecology and Hydrology, LAND COV MAP GREAT B
   Dawson DA, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0205
   Dhakal KP, 2017, J ENVIRON MANAGE, V203, P171, DOI 10.1016/j.jenvman.2017.07.065
   Diao KG, 2016, WATER RES, V106, P383, DOI 10.1016/j.watres.2016.10.011
   Environmental Agency, LID COMP DIG TERR MO
   EU Copernicus Programme (European Environment Agency), 2018, HIGH RES LAYER IMP D
   Fischer M.M., 2010, Handbook of Applied Spatial Analysis, DOI [10.1007/978-3-642-03647-7, DOI 10.1007/978-3-642-03647-7]
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Jing N, 2010, ANN REGIONAL SCI, V45, P331, DOI 10.1007/s00168-009-0307-6
   Kjeldsen T.R., 2005, REVITALISATION FSR F
   Le Gallo J., 2003, Pap Reg Sci, V82, P175, DOI [DOI 10.1111/J.1435-5597.2003.TB00010.X, 10.1111/j.1435-5597.2003.tb00010.x]
   LEE SI, 2001, THESIS OHIO STATE U
   Lennon M, 2014, J URBAN DES, V19, P745, DOI 10.1080/13574809.2014.944113
   Liu HX, 2018, NAT HAZARDS, V94, P1, DOI 10.1007/s11069-018-3349-1
   Liu YZ, 2016, ENVIRON MODELL SOFTW, V80, P281, DOI 10.1016/j.envsoft.2016.03.005
   Mair M, 2012, WATER SCI TECHNOL, V65, P1215, DOI 10.2166/wst.2012.954
   McDonnell Bryant E, 2020, J Open Source Softw, V5, P1, DOI 10.21105/joss.02292
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Moura ACM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051933
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   OFWAT, 2017, RES ROUND BUILD RES
   ORD JK, 1995, GEOGR ANAL, V27, P286, DOI 10.1111/j.1538-4632.1995.tb00912.x
   *ORDN SURV, OS MASTERMAP TOP LAY
   Rey R., 2014, Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL
   Rey SJ, 2007, REV REG STUD, V37, P5
   Rossman L.A., 2016, ENV PROT, V3, P158
   Rossman LA, 2016, Storm water management model reference manual volume IHydrology (Revised)
   Rossman LewisA., 2015, ENV PROT TECHNOL SER, DOI DOI 10.1111/1752-1688.12801
   Sadr SMK, 2020, WATER RES, V182, DOI 10.1016/j.watres.2020.116013
   Sridharan S, 2007, SOC SCI MED, V65, P1942, DOI 10.1016/j.socscimed.2007.05.052
   Stewart E.J., 2013, RESERVOIR SAFETY LON, V1
   Sweetapple C, 2019, WATER RES, V149, P448, DOI 10.1016/j.watres.2018.11.025
   Sweetapple C, 2018, WATER SCI TECHNOL, V77, P1757, DOI 10.2166/wst.2018.070
   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 YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Zhang J, 2020, STRUCT CHANGE ECON D, V55, P1, DOI 10.1016/j.strueco.2020.06.001
   Zischg J, 2018, WATER SCI TECHNOL, V77, P1851, DOI 10.2166/wst.2018.060
NR 48
TC 22
Z9 23
U1 12
U2 87
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JUL
PY 2021
VL 13
IS 13
AR 1789
DI 10.3390/w13131789
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 TG3DP
UT WOS:000671289000001
OA gold, Green Published
DA 2025-04-22
ER

PT J
AU Sellberg, MM
   Wilkinson, C
   Peterson, GD
AF Sellberg, My M.
   Wilkinson, Cathy
   Peterson, Garry D.
TI Resilience assessment: a useful approach to navigate urban
   sustainability challenges
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE crisis management; Eskilstuna; local government planning; participatory
   processes; resilience assessment; sustainable development; Sweden;
   transdisciplinary research; urban planning
ID MANAGEMENT; SYSTEMS; GOVERNANCE; THINKING
AB Cities and towns have become increasingly interested in building resilience to cope with surprises, however, how to do this is often unclear. We evaluated the ability of the Resilience Assessment Workbook to help urban areas incorporate resilience thinking into their planning practice by exploring how a resilience assessment process complemented existing planning in the local government of Eskilstuna, Sweden. We conducted this evaluation using participant observation, semistructured interviews, and a survey of the participants. Our findings show that the resilience assessment contributed to ongoing planning practices by addressing sustainability challenges that were not being addressed within the normal municipal planning or operations, such as local food security. It bridged longer term sustainable development and shorter term crisis management, allowing these two sectors to develop common strategies. Our study also highlighted that the Resilience Assessment Workbook could be made more useful by providing more guidance on how to practically deal with thresholds and trade-offs across scales, as well as on how to manage transdisciplinary learning processes. This is the first in-depth study of a resilience assessment process, and it demonstrates that the Resilience Assessment Workbook is useful for planning and that it merits further research and development.
C1 [Sellberg, My M.; Wilkinson, Cathy; Peterson, Garry D.] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden.
C3 Stockholm University
RP Sellberg, MM (corresponding author), Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden.
RI ; Peterson, Garry/C-1309-2008
OI Wilkinson, Cathy/0000-0001-9916-4256; Sellberg, My
   M./0000-0002-0158-164X; Peterson, Garry/0000-0003-0173-0112
CR [Anonymous], BUILT ENV
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   Bai XM, 2010, CURR OPIN ENV SUST, V2, P129, DOI 10.1016/j.cosust.2010.05.008
   Bellwood DR, 2004, NATURE, V429, P827, DOI 10.1038/nature02691
   Bennett EM, 2005, ECOSYSTEMS, V8, P945, DOI 10.1007/s10021-005-0141-3
   Bevir M.Rhodes., 2006, GOVERNANCE STORIES
   Biggs H, 2011, KOEDOE, V53, DOI 10.4102/koedoe.v53i2.1002
   Biggs HarryC., 2003, KRUGER EXPERIENCE EC
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Burt R. S., 2005, Constructing Grounded Theory
   Christensen L, 2012, ECOL SOC, V17, DOI 10.5751/ES-04499-170105
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Esaiasson P., 2007, METODPRAKTIKAN KONST, P257
   Eskilstuna kommun, 2002, MILJ ESK KOMM
   Eskilstuna kommun, 2005, OV 2005
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Glaser BG, 1998, Doing grounded theory: Issues and discussions
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Haider LJ, 2012, PLAN THEORY PRACT, V13, P312
   Hopkins R., 2009, Resurgence, P12
   Hopkins Rob., 2011, TRANSITION COMPANION
   ICLEI (Local Governments for Sustainability), 2013, OUR MEMB
   Jorgensen D.L., 1989, PARTICIPANT OBSERVAT
   Kvale Steinar., 2009, INTERVIEWS LEARNING
   Lele S., 1998, ENVIRON DEV ECON, V3, P221, DOI [DOI 10.1017/S1355770X98260128, 10.1017/S1355770X98260128, https://doi.org/10.1017/S1355770X98260128]
   Liu W. T., 2011, THESIS U WATERLOO WA
   Miljoaktuellt, 2012, SA GJORD VI KOMM 201
   Mitchell M, 2014, SOC NATUR RESOUR, V27, P299, DOI 10.1080/08941920.2013.861556
   Munn E., SUSTAINABLE DEV BIOS
   Natural Step, 2013, 4 SYST COND SUST SOC
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Peterson GD, 2003, ECOLOGY, V84, P1403, DOI 10.1890/0012-9658(2003)084[1403:UATMOM]2.0.CO;2
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Porter L, 2012, PLAN THEORY PRACT, V13, P329
   Resilience Alliance, 2013, RES ASS
   Rockefeller Foundation, 2013, REB BUILD MOR RES WO
   Rockefeller Foundation, 2015, 100 RES CIT CENT CHA
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Roux DJ, 2011, KOEDOE, V53, DOI 10.4102/koedoe.v53i2.1049
   Scholz R W, 2011, ENV LITERACY SCI SOC
   Schulman M., 2000, BUILT ENV, V26, P72
   Schultz L, 2007, ENVIRON CONSERV, V34, P140, DOI 10.1017/S0376892907003876
   Sellberg M., 2013, THESIS STOCKHOLM U S
   Shaw K., 2013, PUBLIC POLICY ADMIN, V28, P43, DOI [DOI 10.1177/0952076711432578, 10.1177/0952076711432578]
   Shaw K, 2012, PLAN THEORY PRACT, V13, P308
   Stockholm Resilience Centre, 2014, WHAT IS RES INTR SOC
   Teh D., 2021, Handbook of disaster risk reduction for resilience: New frameworks for building resilience to disasters, P27, DOI [10.1007/978-3-030-61278-82, 10.1007/978-3-030-61278-8_2]
   UNISDR, 2012, United Nations Office for Disaster Risk Reduction Report
   Wagenaar H., 2011, Meaning in Action: Interpretation and Dialogue in Policy Analysis, P241
   Wagenaar H, 2007, AM REV PUBLIC ADM, V37, P17, DOI 10.1177/0275074006296208
   Walker B, 2002, CONSERV ECOL, V6
   Walker B, 2011, ECOL SOC, V16
   Walker Brian, 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Wilkinson C., 2012, SOCIAL ECOLOGICAL RE
   Wilkinson C., 2012, THESIS STOCKHOLM U S
   Wilkinson C., 2010, Critical Planning, P25
   Wilkinson C, 2012, PLAN THEORY PRACT, V13, P319
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   World Summit on Sustainable Development (WSSD) and UN Department of Public Information, 2003, JOH DECL SUST DEV PL
NR 60
TC 68
Z9 75
U1 6
U2 102
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 2015
VL 20
IS 1
AR 43
DI 10.5751/ES-07258-200143
PG 24
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA CG4XW
UT WOS:000353293900046
OA Green Published, Green Submitted, gold
DA 2025-04-22
ER

PT J
AU Han, Y
   Zhang, YW
   Zhang, H
   Feng, CC
   Hua, TR
   Yang, YQ
   Yun, P
   Zeng, J
   Peng, L
   Zeng, JN
   Ye, GQ
AF Han, Yu
   Zhang, Yaowen
   Zhang, Han
   Feng, Cuicui
   Hua, Tianran
   Yang, Yiqun
   Yun, Peng
   Zeng, Jian
   Peng, Li
   Zeng, Jiangning
   Ye, Guanqiong
TI Spatiotemporal resilience assessment and comparison in China's bay area
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE bay area; resilience; sustainable development; spatial and temporal
   assessment; ecological economic equilibrium
ID ECOLOGICAL RESILIENCE; URBAN RESILIENCE; CITIES; SYSTEM
AB The bay area is a crucial land-sea junction zone containing essential urban clusters while receiving extremely complex internal and external disturbances that challenge more on its resilience management. However, a sound management tool based on the bay area's resilience is widely lacking due to the difficulty of unifying resilience indicators and quantifying resilience relationships between regions. This paper tries to establish a comprehensive resilience index for coastal bays from four major resilience-related dimensions, namely, physical structure, social development, ecological environment, and hazards, and applies it into the three major developed bay areas in China. A coupling coordination degree model was used to further reveal the resilience development and its internal coordination by temporal and spatial differences. The results show that the index could clearly reveal the resilience changes from the year 2000 to 2020 of the three bays with the common key drivers of socioeconomic development. It also explains the resilience changes among three bay areas through analyzing synergistic and conflict relationships between the four sub-resilience systems.
C1 [Han, Yu; Yun, Peng; Zeng, Jian] Zhejiang Inst Marine Planning & Design, Zhejiang Inst Hydraul & Estuary, Zhejiang, Peoples R China.
   [Zhang, Yaowen; Zhang, Han; Feng, Cuicui; Hua, Tianran; Yang, Yiqun; Ye, Guanqiong] Zhejiang Univ, Ocean Coll, Zhejiang, Peoples R China.
   [Peng, Li] Jiangnan Univ, Sch Internet Things Engn, Jiangsu, Peoples R China.
   [Zeng, Jiangning] Minist Nat Resources MNR, Inst Oceanog 2, Zhejiang, Peoples R China.
C3 Zhejiang University; Jiangnan University; Ministry of Natural Resources
   of the People's Republic of China; Second Institute of Oceanography,
   Ministry of Natural Resources
RP Ye, GQ (corresponding author), Zhejiang Univ, Ocean Coll, Zhejiang, Peoples R China.
EM gqy@zju.edu.cn
RI Yang, Yanling/F-5954-2014; han, yu/HJG-9417-2022; Hua,
   Tianran/KVC-1864-2024
OI Ye, Guanqiong/0000-0002-2063-5068
FU National Natural Science Foundation of China; Science Technology
   Department of Zhejiang of China; Key Laboratory of Marine Ecosystem
   Dynamics, Ministry of Nature Resources; Fujian Provincial Key Laboratory
   of Marine Ecological Conservation and Restoration;  [42176216]; 
   [2022C15008];  [MD202001];  [2021003]
FX Funding This work was supported by National Natural Science Foundation
   of China (No. 42176216), the Science Technology Department of Zhejiang
   of China (No. 2022C15008), the Key Laboratory of Marine Ecosystem
   Dynamics, Ministry of Nature Resources (No. MD202001), and Fujian
   Provincial Key Laboratory of Marine Ecological Conservation and
   Restoration (No. 2021003).
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alshehri SA, 2015, NAT HAZARDS, V78, P395, DOI 10.1007/s11069-015-1719-5
   Angeler DG, 2016, J APPL ECOL, V53, P617, DOI 10.1111/1365-2664.12649
   Bi ML, 2020, ECOL INDIC, V116
   Brand F, 2009, ECOL ECON, V68, P605, DOI 10.1016/j.ecolecon.2008.09.013
   Brown ED, 2015, ENVIRON MANAGE, V56, P1416, DOI 10.1007/s00267-015-0582-1
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   da Silva CA, 2020, REGE-REV GEST, V27, P61, DOI 10.1108/REGE-12-2018-0117
   Davies A, 2010, GEOGR RES-AUST, V48, P223, DOI 10.1111/j.1745-5871.2009.00627.x
   Delgado A, 2016, ENVIRON MODELL SOFTW, V77, P108, DOI 10.1016/j.envsoft.2015.12.011
   Diaz-Sarachaga JM, 2020, NAT HAZARDS, V100, P437, DOI 10.1007/s11069-019-03805-y
   Fan YP, 2019, J CLEAN PROD, V229, P289, DOI 10.1016/j.jclepro.2019.05.027
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Galderisi A., 2014, Z Magazine (Boston, V11, P36
   Gao LH, 2022, MAR POLLUT BULL, V176, DOI 10.1016/j.marpolbul.2022.113416
   Gao XL, 2013, MAR POLLUT BULL, V72, P281, DOI 10.1016/j.marpolbul.2013.02.007
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Huang WJ, 2018, COMPUT ENVIRON URBAN, V71, P67, DOI 10.1016/j.compenvurbsys.2018.04.003
   Jia ShiJing Jia ShiJing, 2008, Research of Agricultural Modernization, V29, P573
   Joerin J, 2014, DISASTERS, V38, P540, DOI 10.1111/disa.12058
   Jozaei J, 2020, J ENVIRON MANAGE, V253, DOI 10.1016/j.jenvman.2019.109662
   Kasmalkar IG, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba2423
   Kuenzer C, 2020, OCEAN COAST MANAGE, V198, DOI 10.1016/j.ocecoaman.2020.105362
   Lak A, 2020, J ENVIRON PLANN MAN, V63, P2194, DOI 10.1080/09640568.2020.1714561
   Lam NSN, 2015, CARTOGR GEOGR INF SC, V42, P315, DOI 10.1080/15230406.2015.1040999
   Lee PH, 2013, BMC MED RES METHODOL, V13, DOI 10.1186/1471-2288-13-65
   Li GJ, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104954
   Li N., 2020, LONG TERM REMOTE SEN, DOI [10.27242/d.cnki.gnjlu.2020.000002, DOI 10.27242/D.CNKI.GNJLU.2020.000002]
   Li Q, 2022, J ENVIRON MANAGE, V303, DOI 10.1016/j.jenvman.2021.114167
   [李雪松 Li Xuesong], 2019, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V28, P505
   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]
   Liao C.B., 1996, GUANGZHOU ENV SCI, V1), P12
   Lin Y, 2023, ENVIRON DEV SUSTAIN, V25, P176, DOI 10.1007/s10668-021-02047-y
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   Lou Y, 2021, LAND-BASEL, V10, DOI 10.3390/land10010041
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Nathwani J, 2019, SCI TOTAL ENVIRON, V672, P51, DOI 10.1016/j.scitotenv.2019.03.322
   NSTC, 2022, OPP ACT OC SCI TECHN
   Ogwang T, 2021, J APPL STAT, V48, P573, DOI 10.1080/02664763.2020.1736525
   Oke AE, 2020, CONSTR ECON BUILD, V20, P45, DOI 10.5130/AJCEB.v20i2.6647
   Peng X.J., 2020, J OCEAN TECHNOL, V39, P9
   Prakash P, 2005, BIOINFORMATICS, V21, P2161, DOI 10.1093/bioinformatics/bti375
   Ramesh R, 2015, ANTHROPOCENE, V12, P85, DOI 10.1016/j.ancene.2016.01.005
   Gari SR, 2015, OCEAN COAST MANAGE, V103, P63, DOI 10.1016/j.ocecoaman.2014.11.013
   Sellberg MM, 2018, J ENVIRON MANAGE, V217, P906, DOI 10.1016/j.jenvman.2018.04.012
   Shen CC, 2016, ECOL INDIC, V61, P822, DOI 10.1016/j.ecolind.2015.10.035
   Sun B.S., 2017, J E CHINA NORMAL U N, V04, P012
   [王江波 Wang Jiangbo], 2021, [海洋湖沼通报, Transactions of Oceanology and Limnology], P149
   Wardekker A., 2020, DIAGNOSTIC TOOL SUPP, V101
   Xiao R, 2019, ENVIRON INT, V133, DOI 10.1016/j.envint.2019.105170
   Xiao R, 2019, ECOL INDIC, V98, P363, DOI 10.1016/j.ecolind.2018.11.010
   Xu W, 2018, ENVIRON SCI POLLUT R, V25, P9071, DOI 10.1007/s11356-017-1092-x
   Yan S., 2020, J HUM SETTLEMENTS W, V35, P111, DOI 10.13791/j.cnki.hsfwest.20200215
   Yang DW, 2018, RESOUR CONSERV RECY, V134, P196, DOI 10.1016/j.resconrec.2018.03.016
   Zhang H, 2011, TOURISM MANAGE, V32, P443, DOI 10.1016/j.tourman.2010.02.007
   Zhang K, 2016, AMBIO, V45, P89, DOI 10.1007/s13280-015-0692-2
   [张明斗 Zhang Mingdou], 2014, [资源科学, Resources Science], V36, P8
   Zhang MS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229735
   Zhang X.H., 2016, T OCEANOL LIMNOL, V05, P002, DOI [10.13984/j.cnki.cn37-1141.2016.05.002, DOI 10.13984/J.CNKI.CN37-1141.2016.05.002]
   Zheng Y, 2018, ADV CLIM CHANG RES, V9, P234, DOI 10.1016/j.accre.2018.12.002
   Zhou Q, 2021, HABITAT INT, V111, DOI 10.1016/j.habitatint.2021.102348
NR 62
TC 0
Z9 0
U1 7
U2 62
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-7745
J9 FRONT MAR SCI
JI Front. Mar. Sci.
PD OCT 25
PY 2022
VL 9
AR 982263
DI 10.3389/fmars.2022.982263
PG 12
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA 6A7TI
UT WOS:000880852900001
OA gold
DA 2025-04-22
ER

PT J
AU Rezende, OM
   de Franco, ABRD
   de Oliveira, AKB
   Jacob, ACP
   Miguez, MG
AF Rezende, Osvaldo Moura
   Ribeiro da Cruz de Franco, Anna Beatriz
   Beleno de Oliveira, Antonio Krishnamurti
   Pitzer Jacob, Ana Caroline
   Miguez, Marcelo Gomes
TI A framework to introduce urban flood resilience into the design of flood
   control alternatives
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Sustainable storm water management; Distributed flood control measures;
   Flood risk management; Urban flood resilience
ID STORMWATER MANAGEMENT; VULNERABILITY; CITIES; RISK
AB Urban flooding is still frequently treated as a direct consequence of excess rainfall, without considering the watershed as an interdependent system connected with the development of its territory. The traditional flood control approach implies in continuous corrective interventions, usually of local character, and resulting from post-events responses. This process requires increasingly large investments to implement (or retrofit) structures capable to accommodate the runoff generated by new urbanized areas. These efforts have not prevented floods from continuing to cause high damages worldwide. Thus, there is a need to change stormwater management strategies, shifting to a risk management approach, not only considering cost-benefit analysis, but also internalizing the residual risk accounting for inherent uncertainties, such as climate change and fast and uncontrolled urban growth. This paper proposes a multi-criteria index, the Urban Flood Resilience index-UFRI, to measure quantitatively urban resilience to floods, supported by a hydrodynamic mathematical model and socio-economic indicators, resulting in spatialized maps as a communicating tool. A case study of an urban watershed in Rio de Janeiro/Brazil is used to demonstrate UFRI potential.
C1 [Rezende, Osvaldo Moura; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, PEA POLI, Rio De Janeiro, Brazil.
   [Beleno de Oliveira, Antonio Krishnamurti; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, PEC COPPE, Rio De Janeiro, Brazil.
   [Ribeiro da Cruz de Franco, Anna Beatriz; Miguez, Marcelo Gomes] Univ Fed Rio de Janeiro, POLI, Rio De Janeiro, Brazil.
   [Pitzer Jacob, Ana Caroline] Aquafluxus Consultoria Ambiental Recursos Hidr Lt, Rio De Janeiro, Brazil.
C3 Universidade Federal do Rio de Janeiro; Universidade Federal do Rio de
   Janeiro; Universidade Federal do Rio de Janeiro
RP Rezende, OM (corresponding author), Univ Fed Rio de Janeiro, PEA POLI, Rio De Janeiro, Brazil.
EM om.rezende@hidro.ufrj.br
RI Oliveira, Antonio/GRS-6118-2022; Rezende, Osvaldo/P-4740-2019; Miguez,
   Marcelo Gomes/A-3252-2013
OI Miguez, Marcelo Gomes/0000-0003-4206-4013; Beleno de Oliveira, Antonio
   Krishnamurti/0000-0002-7334-1928; Moura Rezende,
   Osvaldo/0000-0002-9424-7906
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brasil
   (CAPES); Conselho Nacional de Desenvolvimento Cientifico e
   Tecnologico-Brasil (CNPq)
FX We acknowledge the Coordenacao de Aperfeicoamento de Pessoal de Nivel
   Superior-Brasil (CAPES) and the Conselho Nacional de Desenvolvimento
   Cientifico e Tecnologico-Brasil (CNPq) for supporting this research. We
   are also grateful for the support of the company Aquafluxus Consultoria
   Ambiental em Recursos Hidricos.
CR Ahsan MN, 2014, INT J DISAST RISK RE, V8, P32, DOI 10.1016/j.ijdrr.2013.12.009
   Andoh RobertY.G., 2002, Global Solutions for Urban Drainage, P1, DOI [DOI 10.1061/40644(2002)19, 10.1061/40644]
   [Anonymous], P LAT AM ROB S LARS
   Arnbjerg-Nielsen K, 2009, WATER SCI TECHNOL, V60, P273, DOI 10.2166/wst.2009.298
   Aroca-Jiménez E, 2018, J HYDROL, V565, P386, DOI 10.1016/j.jhydrol.2018.08.029
   Baptista M.B., 2011, TECNICAS COMPENSATOR
   Bertilsson L., 2018, Journal of Hydrology, DOI DOI 10.1016/J.JHYDROL.2018.06
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   CIRIA, 2010, FLOOD RESILIENCE RES
   Escudero-Bueno I., 2011, WP3 SUFRI
   Faber R., 2006, THESIS
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Handmer J., 2001, Environmental Hazards, V3, P19, DOI 10.1016/S1464-2867(01)00010-9
   Hoang L, 2016, URBAN WATER J, V13, P739, DOI 10.1080/1573062X.2015.1036083
   Holling C.S., 1996, Engineering resilience versus ecological resilience, DOI [DOI 10.17226/4919, 10.17226/4919]
   Johannessen Å, 2017, ECOL SOC, V22, DOI 10.5751/ES-08870-220101
   Koutsoyiannis D, 2007, CRITI REV, DOI [10.1017/CBO9781107415324.004, DOI 10.1017/CBO9781107415324.004]
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Mascarenhas FCB, 2002, WATER INT, V27, P208, DOI 10.1080/02508060208686994
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miguez M., 2015, XXI SIMPOSIO BRAS RE, P1
   Miguez M. G., 2018, Urban Agglomeration,, DOI [10.5772/intechopen.71658, DOI 10.5772/INTECHOPEN.71658]
   Miguez MG, 2017, WATER-SUI, V9, DOI 10.3390/w9060445
   Pender G., 2007, Environmental Hazards, V7, P106, DOI 10.1016/j.envhaz.2007.07.006
   Plate EJ, 2002, J HYDROL, V267, P2, DOI 10.1016/S0022-1694(02)00135-X
   Pregnolato M, 2017, TRANSPORT RES D-TR E, V55, P67, DOI 10.1016/j.trd.2017.06.020
   Proag V, 2014, PROC ECON FINANC, V18, P369, DOI 10.1016/S2212-5671(14)00952-6
   RESCDAM, 2000, FINAL REPORT OF HELS
   Rezende O. M, 2018, QUANTITATIVE ANALYSI
   Rezende O. M., 2018, P 13 SUST DEV EN WAT, P1
   Roy AH, 2008, ENVIRON MANAGE, V42, P344, DOI 10.1007/s00267-008-9119-1
   Salgado J. C. M., 1995, ECONOMIC ASSESSMENT
   Samuels P., 2009, FLOODSITE PROJ REP T, P61
   Shannon K., 2013, FUTURE CITY, P163, DOI [10.1007/978-94-007-5341-9, DOI 10.1007/978-94-007-5341-9]
   UNESCO, 2013, WATER SEWERAGE J, DOI [10.1016/j.jacc.2006.07.056, DOI 10.1016/J.JACC.2006.07.056]
   Zanobetti D., 1968, HOUILLE BLANCHE, V1, P17, DOI [10.1051/lhb/1968002, DOI 10.1051/LHB/1968002]
   Zonensein J., 2008, 11TH INTERNATIONAL C
NR 38
TC 61
Z9 63
U1 7
U2 169
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD SEP
PY 2019
VL 576
BP 478
EP 493
DI 10.1016/j.jhydrol.2019.06.063
PG 16
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA IY0OI
UT WOS:000486092200036
DA 2025-04-22
ER

PT J
AU Liu, JN
   Wang, JY
   Chen, T
   Wang, LY
AF Liu, Junnan
   Wang, Jiayu
   Chen, Tian
   Wang, Liuying
TI Heat stress resilience assessment of urban form from physical space
   dimension: A case study of Guangdong-Hong Kong-Macao Greater Bay Area
SO URBAN CLIMATE
LA English
DT Article
DE Urban heat stress resilience; Local climate zone; WUDAPT; WRF; UTCI;
   Boosted regression tree
ID LOCAL CLIMATE ZONES; LANDSCAPE METRICS; THERMAL COMFORT; AIR-POLLUTION;
   TEMPERATURE; PARAMETERIZATION; WUDAPT; ENERGY; HEALTH; CITIES
AB Improving urban resilience is crucial to counteract rising high-temperature disasters. This study constructed a framework for a process-based heat stress resilience (HSR_phy) assessment from the urban physical space dimension. Based on the universal thermal climate index (UTCI), the Weather Research and Forecasting (WRF) model, and the Local Climate Zone (LCZ) map generated through WUDAPT, an HSR_phy evaluation method with high spatiotemporal accuracy is proposed. The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) was studied for heat stress resilience patterns in July 2021. Boosted regression tree (BRT) models analyzed LCZ landscape patterns' impacts on HSR_phy. The results indicated that HSR_phy during the daytime was significantly lower than that at night. The HSR_phy of GBA showed the characteristics of low inland and high periphery. Significant differences in HSR_phy existed among most LCZs. LCZA, LCZC, and LCZ9 showed strong HSR_phy, whereas LCZ2, LCZ8, and LCZ7 were opposite. At the 1500 m scale, the Percentage of Landscape (PLAND), Landscape Shape Index (LSI), and Shannon's Diversity Index (SHDI) of LCZ4, LCZ5, and LCZ6 were the key factors affecting HSR_phy. Our research demonstrates how to quantify heat stress resilience and impact factors of urban physical spaces to provide a basis for developing climate-sensitive urban design strategies.
C1 [Liu, Junnan; Chen, Tian; Wang, Liuying] Tianjin Univ, Sch Architecture, Tianjin, Peoples R China.
   [Wang, Jiayu] Beijing Univ Civil Engn & Architecture, Sch Architecture & Urban Planning, Beijing, Peoples R China.
C3 Tianjin University; Beijing University of Civil Engineering &
   Architecture
RP Chen, T (corresponding author), Tianjin Univ, Sch Architecture, Tianjin, Peoples R China.
EM liujunnan_430@tju.edu.cn; wangjiayu@bucea.edu.cn; teec@tju.edu.cn;
   wangliuying_1994@tju.edu.cn
RI Wang, jiayu/ABB-6772-2020
FU National Natural Science Foundation of China [52378066]; Na- tional
   Natural Science Foundation of China [52078329]
FX Funding: This work was supported by the National Natural Science
   Foundation of China (grant number 52378066) ; and the Na- tional Natural
   Science Foundation of China (grant number 52078329) .
CR Abdulkareem M, 2018, INT J DISAST RISK RE, V28, P176, DOI 10.1016/j.ijdrr.2018.02.009
   Alavipanah S, 2018, J CLEAN PROD, V177, P115, DOI 10.1016/j.jclepro.2017.12.187
   Antonescu B, 2021, INT J CLIMATOL, V41, P3934, DOI 10.1002/joc.7051
   Argyroudis SA, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136854
   Assembly U. N. G, 2016, Report of the Open-Ended Intergovernmental Expert Working Group on Indicators and Terminology Relating to Disaster Risk Reduction
   Baejczyk Krzysztof., 2010, Przegld geograficzny, V82, P49, DOI [10.7163/PrzG.2010.1.2, DOI 10.7163/PRZG.2010.1.2]
   Balogun IA, 2019, URBAN CLIM, V29, DOI 10.1016/j.uclim.2019.100489
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bartzokas A, 2013, NAT HAZARD EARTH SYS, V13, P3271, DOI 10.5194/nhess-13-3271-2013
   Bechtel B, 2019, URBAN CLIM, V27, P24, DOI 10.1016/j.uclim.2018.10.001
   Blazejczyk K., 2011, Prace i Studia Geograficzne WGSR UW, V47, P275
   Blazejczyk K, 2013, GEOGR POL, V86, P5, DOI 10.7163/GPol.2013.1
   BOUGEAULT P, 1989, MON WEATHER REV, V117, P1872, DOI 10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO;2
   Bozza A, 2017, COMPUT-AIDED CIV INF, V32, P527, DOI 10.1111/mice.12275
   Brousse O, 2016, URBAN CLIM, V17, P116, DOI 10.1016/j.uclim.2016.04.001
   [陈爱莲 Chen Ailian], 2012, [生态学报, Acta Ecologica Sinica], V32, P4553
   [陈敦鹏 Chen Dunpeng], 2022, [城市规划, City Planning Review], V46, P13
   Chen GZ, 2022, SCI TOTAL ENVIRON, V841, DOI 10.1016/j.scitotenv.2022.156737
   Chen YQ, 2022, BUILD ENVIRON, V208, DOI 10.1016/j.buildenv.2021.108604
   Ching J, 2018, B AM METEOROL SOC, V99, P1907, DOI 10.1175/BAMS-D-16-0236.1
   Christen A, 2004, INT J CLIMATOL, V24, P1395, DOI 10.1002/joc.1074
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Colin B., 2017, Open J. Stat., V7
   Cotana F, 2014, APPL ENERG, V130, P641, DOI 10.1016/j.apenergy.2014.02.065
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Das M, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100708
   Das M, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100591
   Demuzere M., 2022, J. Open Source Softw., V7
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Dhar TK, 2017, URBAN CLIM, V19, P72, DOI 10.1016/j.uclim.2016.12.004
   Dodangeh E, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135983
   Du RQ, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108542
   DUDHIA J, 1989, J ATMOS SCI, V46, P3077, DOI 10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
   Duit A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI 10.1016/j.gloenvcha.2010.04.006
   Eldesoky AH, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103971
   Elith J, 2008, J ANIM ECOL, V77, P802, DOI 10.1111/j.1365-2656.2008.01390.x
   Epa U, 2007, Guidance on the use of models and other analyses for demonstrating attainment of air quality goals for ozone, PM2. 5, and regional haze
   Fahed J, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102375
   Fan PY, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101034
   Feyisa GL, 2014, LANDSCAPE URBAN PLAN, V123, P87, DOI 10.1016/j.landurbplan.2013.12.008
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Friedl MA, 2002, REMOTE SENS ENVIRON, V83, P287, DOI 10.1016/S0034-4257(02)00078-0
   Geletic J, 2018, SCI TOTAL ENVIRON, V624, P385, DOI 10.1016/j.scitotenv.2017.12.076
   Giannaros C, 2022, SCI TOTAL ENVIRON, V857, DOI 10.1016/j.scitotenv.2022.159300
   Giannaros C, 2018, ATMOS RES, V201, P86, DOI 10.1016/j.atmosres.2017.10.015
   Giannaros TM, 2015, INT J BIOMETEOROL, V59, P151, DOI 10.1007/s00484-014-0832-6
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Grafton RQ, 2019, NAT SUSTAIN, V2, P907, DOI 10.1038/s41893-019-0376-1
   Guardaro M, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100415
   Hatvani-Kovacs G, 2018, URBAN CLIM, V25, P51, DOI 10.1016/j.uclim.2018.05.001
   Hong SY, 2004, MON WEATHER REV, V132, P103, DOI 10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2
   Hu J, 2023, REMOTE SENS ENVIRON, V295, DOI 10.1016/j.rse.2023.113700
   Hu YF, 2020, J ENVIRON MANAGE, V266, DOI 10.1016/j.jenvman.2020.110424
   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]
   IUPS Thermal Commission, 2003, J THERM BIOL, V28, P75
   Kain JS, 2004, J APPL METEOROL, V43, P170, DOI 10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
   Kalisa E, 2018, SUSTAIN CITIES SOC, V43, P111, DOI 10.1016/j.scs.2018.08.033
   Kim Y, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104262
   Kolendowicz L, 2018, THEOR APPL CLIMATOL, V134, P363, DOI 10.1007/s00704-017-2279-2
   Kotharkar R, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100777
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Kuchcik M, 2021, INT J BIOMETEOROL, V65, P1529, DOI 10.1007/s00484-020-01995-w
   Leal W, 2018, J CLEAN PROD, V171, P1140, DOI 10.1016/j.jclepro.2017.10.086
   Leconte F, 2017, THEOR APPL CLIMATOL, V130, P365, DOI 10.1007/s00704-016-1886-7
   Lehnert M, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10040260
   Li JX, 2011, REMOTE SENS ENVIRON, V115, P3249, DOI 10.1016/j.rse.2011.07.008
   Lim TC, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104497
   Liu YX, 2018, LANDSCAPE URBAN PLAN, V180, P36, DOI 10.1016/j.landurbplan.2018.08.006
   Liu YX, 2018, LANDSCAPE ECOL, V33, P1133, DOI 10.1007/s10980-018-0663-7
   Lu LL, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104505
   Luo M, 2017, J CLIMATE, V30, P703, DOI [10.1175/JCLI-D-16-0269.1, 10.1175/jcli-d-16-0269.1]
   Lustig A, 2015, ECOL INDIC, V57, P11, DOI 10.1016/j.ecolind.2015.03.042
   Marcus L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06939-190455
   Martilli A, 2002, BOUND-LAY METEOROL, V104, P261, DOI 10.1023/A:1016099921195
   Mason LR, 2018, J EVID-INFORM SOC WO, V15, P579, DOI 10.1080/23761407.2018.1502115
   Masoudi M, 2019, LANDSCAPE URBAN PLAN, V184, P44, DOI 10.1016/j.landurbplan.2018.10.023
   McGarigal K., 2002, FRAGSTATS SPATIAL PA
   Meerow S, 2022, J AM PLANN ASSOC, V88, P319, DOI 10.1080/01944363.2021.1977682
   Mlawer EJ, 1997, J GEOPHYS RES-ATMOS, V102, P16663, DOI 10.1029/97JD00237
   Mocanu I, 2021, NAT HAZARDS REV, V22, DOI 10.1061/(ASCE)NH.1527-6996.0000439
   Monin AS., 1954, Tr. Akad. Nauk SSSR Geophiz. Inst., V24, P163, DOI DOI 10.2514/6.2012-537
   Mücke HG, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17217862
   Mughal MO, 2019, J GEOPHYS RES-ATMOS, V124, P7764, DOI 10.1029/2018JD029796
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Naughton MP, 2002, AM J PREV MED, V22, P221, DOI 10.1016/S0749-3797(02)00421-X
   Niu GY, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015139
   Nunes AR, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208121
   Orimoloye IR, 2019, CITIES, V91, P213, DOI 10.1016/j.cities.2019.01.009
   Ozkan A, 2019, BUILD RES INF, V47, P493, DOI 10.1080/09613218.2018.1451959
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Pfafferott J, 2021, GEOSCI MODEL DEV, V14, P3511, DOI 10.5194/gmd-14-3511-2021
   Pimm SL, 2019, NAT SUSTAIN, V2, P895, DOI 10.1038/s41893-019-0399-7
   PRC T. S. C. O. T, 2019, Outline Development Plan for the Guangdong-Hong Kong-Macao Greater Bay Area
   Ribeiro I, 2021, ATMOS RES, V248, DOI 10.1016/j.atmosres.2020.105220
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Salata F, 2017, SUSTAIN CITIES SOC, V30, P79, DOI 10.1016/j.scs.2017.01.006
   Santamouris M, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109482
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2019, CITIES, V85, P1, DOI 10.1016/j.cities.2018.11.023
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Shi Y, 2018, URBAN CLIM, V25, P167, DOI 10.1016/j.uclim.2018.07.001
   Shukla KK, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101188
   Stead D, 2014, INT J SUST DEV WORLD, V21, P15, DOI 10.1080/13504509.2013.824928
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Tavakoli E, 2022, BUILD ENVIRON, V222, DOI 10.1016/j.buildenv.2022.109376
   Tressol M, 2008, ATMOS CHEM PHYS, V8, P2133, DOI 10.5194/acp-8-2133-2008
   Turner MG, 1989, LANDSCAPE ECOL, V3, P153, DOI 10.1007/BF00131534
   United Nations D. o. E. a. S. A. Population Division, 2019, ST/ESA/SER.A/420
   Vinogradova V, 2021, INT J BIOMETEOROL, V65, P1473, DOI 10.1007/s00484-020-01901-4
   Wang J, 2023, LANDSCAPE URBAN PLAN, V235, DOI 10.1016/j.landurbplan.2023.104750
   Wang Q, 2020, BUILD ENVIRON, V180, DOI 10.1016/j.buildenv.2020.107063
   Wang R, 2019, URBAN CLIM, V28, DOI 10.1016/j.uclim.2019.100455
   Wang R, 2018, URBAN CLIM, V24, P567, DOI 10.1016/j.uclim.2017.10.001
   Wang RF, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104953
   Wang X, 2022, BUILD ENVIRON, V217, DOI 10.1016/j.buildenv.2022.109082
   Wang Y, 2017, J GEOPHYS RES-ATMOS, V122, P4332, DOI 10.1002/2017JD026702
   Wang YF, 2022, RESOUR CONSERV RECY, V179, DOI 10.1016/j.resconrec.2021.106063
   Wang YF, 2021, J CLEAN PROD, V287, DOI 10.1016/j.jclepro.2020.124995
   Wang YJ, 2019, ATMOS RES, V215, P116, DOI 10.1016/j.atmosres.2018.09.006
   Wang YJ, 2021, GEOMAT NAT HAZ RISK, V12, P1101, DOI 10.1080/19475705.2021.1912834
   Wang ZQ, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100866
   Williams A, 2020, GEOHEALTH, V4, DOI 10.1029/2020GH000282
   Wu JG, 2004, LANDSCAPE ECOL, V19, P125, DOI 10.1023/B:LAND.0000021711.40074.ae
   Wu ZF, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101711
   Xi ZJ, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160270
   Xiao R, 2022, SCI TOTAL ENVIRON, V821, DOI 10.1016/j.scitotenv.2022.153381
   Xie WL, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101461
   Xue ZS, 2019, LANDSCAPE URBAN PLAN, V182, P92, DOI 10.1016/j.landurbplan.2018.10.015
   Yang C, 2019, SCI TOTAL ENVIRON, V671, P232, DOI 10.1016/j.scitotenv.2019.03.154
   Yang JC, 2016, BUILD ENVIRON, V108, P110, DOI 10.1016/j.buildenv.2016.08.021
   Yang J, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102818
   Yang J, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100700
   Yang J, 2020, J CLEAN PROD, V275, DOI 10.1016/j.jclepro.2020.123767
   Yu SY, 2023, LANDSCAPE URBAN PLAN, V230, DOI 10.1016/j.landurbplan.2022.104605
   Yu SY, 2020, SCI TOTAL ENVIRON, V725, DOI 10.1016/j.scitotenv.2020.138229
   Zeng P, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103599
   Zeng ZG, 2021, RELIAB ENG SYST SAFE, V209, DOI 10.1016/j.ress.2021.107443
   Zhang J, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12162615
   Zhang L., 2021, Guangdong-Hong Kong-Macao Greater Bay Area Climate Bulletin
   Zhang L, 2022, BUILD ENVIRON, V226, DOI 10.1016/j.buildenv.2022.109785
   Zhang XL, 2018, CITIES, V72, P141, DOI 10.1016/j.cities.2017.08.009
   Zheng HZ, 2019, POL J ENVIRON STUD, V28, P3025, DOI 10.15244/pjoes/93743
NR 143
TC 5
Z9 5
U1 25
U2 55
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
DI 10.1016/j.uclim.2024.101905
EA APR 2024
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA PZ4M7
UT WOS:001217887100001
DA 2025-04-22
ER

PT J
AU Huang, LY
   Wang, J
   Cheng, HG
AF Huang, Longyang
   Wang, Jing
   Cheng, Hongguang
TI Spatiotemporal changes in ecological network resilience in the Shandong
   Peninsula urban agglomeration
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Ecological network; Resilience; Complex network; Circuit theory;
   Spatiotemporal change; Urban agglomeration
ID LINKING ECOSYSTEM SERVICES; GREEN INFRASTRUCTURE; SECURITY PATTERNS;
   CIRCUIT-THEORY; NATURE CONSERVATION; CONNECTIVITY; EVOLUTION; MODEL;
   RISK
AB Ecological network (EN) resilience is important for the integrity and connectivity of ecosystems. However, most of the current studies have conducted resilience assessment studies on abstract complex ENs composed of points and lines, ignoring the fact that ENs are landscape entities with considerable spatial range and landscape characteristics in ecosystems. In this study, taking the Shandong Peninsula urban agglomeration as an example, we assessed network resilience based on identifying the spatial range of ENs in 2000, 2010 and 2018. We constructed a new evaluation framework of EN resilience from overall structure, component quality and network function and analyzed the spatiotemporal changes in EN resilience. The results show that (1) from 2000 to 2018, the spatial range of the ENs shrunk 14.3%. (2) The overall structure of ENs was damaged, the component quality of ENs decreased, and the network function of ENs decreased, leading to a significant decrease of 16.8% in EN resilience. (3) The results of Spearman's correlation coefficient and cubic model show that the decline in network resilience has a good temporal correlation and spatial fitting degree with the changes in urbanization indicators. Based on the results, this study proposed improving EN resilience through measures such as network structure optimization, ecological protection and restoration for key areas. This study has improved the identification method of EN spatial ranges, adapted and updated the assessment method and framework of EN resilience, enriched the methods and theories of EN identification and assessment, and provided guidance for enhancing ecosystem functions and achieving sustainable management of urban agglomerations.
C1 [Huang, Longyang; Wang, Jing; Cheng, Hongguang] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China.
   [Huang, Longyang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
C3 Beijing Normal University; Wuhan University
RP Wang, J; Cheng, HG (corresponding author), Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China.
EM wjing0162@126.com; chg@bnu.edu.cn
RI huang, longyang/GPX-9598-2022; Cheng, guang/H-1743-2013
OI Huang, Longyang/0000-0002-9974-2586
FU National Nat-ural Science Foundation of China [41871203]
FX Acknowledgements The authors acknowledge financial support from the
   National Nat-ural Science Foundation of China (41871203) .
CR Carlier J, 2019, SCI TOTAL ENVIRON, V651, P3241, DOI 10.1016/j.scitotenv.2018.10.077
   Caschili S, 2015, NETW SPAT ECON, V15, P205, DOI 10.1007/s11067-015-9283-9
   Cui L, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.124266
   da Silva JMC, 2017, PERSPECT ECOL CONSER, V15, P32, DOI 10.1016/j.pecon.2016.11.005
   de la Barrera F, 2016, ECOL INDIC, V62, P212, DOI 10.1016/j.ecolind.2015.10.027
   De Montis A, 2019, LAND USE POLICY, V89, DOI 10.1016/j.landusepol.2019.104207
   De Montis A, 2016, LAND USE POLICY, V50, P312, DOI 10.1016/j.landusepol.2015.10.004
   Dong JQ, 2020, LANDSCAPE URBAN PLAN, V199, DOI 10.1016/j.landurbplan.2020.103815
   Duggan Jennifer M., 2015, Ecosystem Health and Sustainability, V1, P22, DOI 10.1890/EHS14-0009.1
   Feist BE, 2017, ECOL APPL, V27, P2382, DOI 10.1002/eap.1615
   Field RD, 2017, ECOL COMPLEX, V32, P31, DOI 10.1016/j.ecocom.2017.08.004
   Ganin AA, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701079
   Gao JX, 2016, NATURE, V530, P307, DOI 10.1038/nature16948
   Gao JX, 2015, ENERGIES, V8, P12187, DOI 10.3390/en81012187
   Gaston KJ, 2013, BIOL REV, V88, P912, DOI 10.1111/brv.12036
   Haddad NM, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1500052
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, ENG ECOLOGICAL CONST, V1st, DOI 10.17226/4919
   Huang LY, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102865
   Huang XX, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108319
   Hüse B, 2016, LAND USE POLICY, V57, P574, DOI 10.1016/j.landusepol.2016.06.026
   Isaac NJB, 2018, J APPL ECOL, V55, P2537, DOI 10.1111/1365-2664.13196
   JONGMAN RHG, 1995, LANDSCAPE URBAN PLAN, V32, P169, DOI 10.1016/0169-2046(95)00197-O
   Kang P, 2018, SCI TOTAL ENVIRON, V636, P1442, DOI 10.1016/j.scitotenv.2018.04.427
   Kharrazi A, 2016, SCI TOTAL ENVIRON, V572, P688, DOI 10.1016/j.scitotenv.2016.06.210
   Kiss T, 2018, ECOL ECON, V144, P160, DOI 10.1016/j.ecolecon.2017.08.004
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Li ZT, 2020, ECOL INDIC, V114, DOI 10.1016/j.ecolind.2020.106319
   LINEHAN J, 1995, LANDSCAPE URBAN PLAN, V33, P179, DOI 10.1016/0169-2046(94)02017-A
   Liquete C, 2015, ENVIRON SCI POLICY, V54, P268, DOI 10.1016/j.envsci.2015.07.009
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Mcrae BH, 2008, ECOLOGY, V89, P2712, DOI 10.1890/07-1861.1
   Mcrae BH, 2007, P NATL ACAD SCI USA, V104, P19885, DOI 10.1073/pnas.0706568104
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Modica G, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112494
   Beita CM, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.475
   Newman MEJ, 2003, SIAM REV, V45, P167, DOI 10.1137/S003614450342480
   [彭翀 Peng Chong], 2019, [经济地理, Economic Geography], V39, P68
   Peng J, 2020, LANDSCAPE ECOL, V35, P421, DOI 10.1007/s10980-019-00956-y
   Peng J, 2019, ENVIRON MODELL SOFTW, V117, P214, DOI 10.1016/j.envsoft.2019.03.017
   Peng J, 2018, SCI TOTAL ENVIRON, V644, P781, DOI 10.1016/j.scitotenv.2018.06.292
   Peng J, 2018, HABITAT INT, V71, P110, DOI 10.1016/j.habitatint.2017.11.010
   Rasmussen LV, 2021, ECOSYST SERV, V47, DOI 10.1016/j.ecoser.2020.101242
   Sharp R., 2016, NATURAL CAPITAL PROJ
   Sterbenz JPG, 2013, TELECOMMUN SYST, V52, P705, DOI 10.1007/s11235-011-9573-6
   Voghera A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102726
   Wang J, 2019, SCI TOTAL ENVIRON, V657, P781, DOI 10.1016/j.scitotenv.2018.12.080
   Wang S, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107487
   Wang T, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108101
   Weber T, 2006, LANDSCAPE URBAN PLAN, V77, P94, DOI 10.1016/j.landurbplan.2005.02.002
   [魏冶 Wei Ye], 2020, [地理科学进展, Progress in Geography], V39, P488
   Yang J, 2020, J CLEAN PROD, V275, DOI 10.1016/j.jclepro.2020.123767
   Yu KJ, 1996, LANDSCAPE URBAN PLAN, V36, P1, DOI 10.1016/S0169-2046(96)00331-3
   Yu Q, 2018, ECOL INDIC, V84, P304, DOI 10.1016/j.ecolind.2017.09.002
   Zhai TL, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.135153
NR 55
TC 65
Z9 71
U1 69
U2 289
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD MAR 10
PY 2022
VL 339
AR 130681
DI 10.1016/j.jclepro.2022.130681
EA FEB 2022
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 1I6JR
UT WOS:000797334800004
DA 2025-04-22
ER

PT J
AU Zhang, JX
   Wang, HM
   Huang, J
   Wang, YX
   Liu, GF
AF Zhang, Jingxuan
   Wang, Huimin
   Huang, Jing
   Wang, Yixin
   Liu, Gaofeng
TI A study on dynamic simulation and improvement strategies of flood
   resilience for urban road system
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Flood resilience; Urban road system; Functionality curve; LID measures;
   Resilience enhancement
ID LOW IMPACT DEVELOPMENT; VULNERABILITY ASSESSMENT; MITIGATION;
   ACCESSIBILITY; PERFORMANCE; DISASTERS; NETWORK; INDEX; RISK
AB As one of the most important and directly affected infrastructure by flood disasters in urban areas, the road system plays a crucial role in maintaining the order of human production and life, as well as providing a foundation for the implementation of emergency response work in disaster scenarios. The existing flood resilience quantification methods based on maximum inundation depths of each individual road unit neglects the influences on flood resilience caused by the connectivity of road system. Therefore, this paper focuses on the road system, simulates the flood resilience of the road system in multiple disaster scenarios based on the functionality curve of road system under rainfall-inundation processes, then quantifies the improvement effect of Low Impact Development (LID) measures on flood resilience. A case study is conducted in Yunmen community, Jingdezhen city in China. The results indicate that: (1) The flood resilience of the road system decreases with the increase of rainfall intensity under different scenarios, and the magnitude of the decrease reduces. (2) The road system exhibits strong adaptability during the early stages of rainfall; The duration of functionality loss increases with increasing of rainfall intensity in different scenarios. (3) Implementation of LID measures can significantly improve system robustness by enhancing the reliability of the roads around critical nodes, thereby effectively enhancing flood resilience. The conclusions can provide a theoretical basis for decision-makers to develop urban flood mitigation engineering plans and resilience strategies tailored to local conditions.
C1 [Zhang, Jingxuan; Wang, Huimin; Huang, Jing; Wang, Yixin; Liu, Gaofeng] Hohai Univ, State Key Lab Hydrol Water Resource & Hydraul Engn, Nanjing 210098, Peoples R China.
   [Zhang, Jingxuan; Wang, Huimin; Huang, Jing; Wang, Yixin; Liu, Gaofeng] Hohai Univ, Management Sci Inst, Nanjing 210098, Peoples R China.
C3 Hohai University; Hohai University
RP Wang, HM; Wang, YX (corresponding author), Hohai Univ, State Key Lab Hydrol Water Resource & Hydraul Engn, Nanjing 210098, Peoples R China.
EM hmwang@hhu.edu.cn; yxwang0115@outlook.com
RI Zhang, Jingxuan/JCP-2008-2023; Wang, Yixin/JOJ-9886-2023; wang,
   huimin/AAB-7888-2022
OI Wang, Yixin/0000-0002-1515-6003
FU National Natural Science Foundation of China [72174054, 91846203,
   42171081]
FX This work was supported by National Natural Science Foundation of China
   [Grant No. 42171081 and No. 72174054 and No. 91846203] .
CR Ahiablame L, 2016, J ENVIRON MANAGE, V171, P81, DOI 10.1016/j.jenvman.2016.01.036
   [Anonymous], 2022, Global Disaster Assessment Report 2021
   [Anonymous], 1978, ADAPTIVE ENV ASSESSM
   Bertilsson L, 2019, J HYDROL, V573, P970, DOI 10.1016/j.jhydrol.2018.06.052
   Bocchini P, 2012, EARTHQ SPECTRA, V28, P427, DOI 10.1193/1.4000019
   Bozza A., 2015, P COMPDYN 2015, V5th
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Chang SE, 2003, ENVIRON PLANN A, V35, P1051, DOI 10.1068/a35195
   Cimellaro G., 2009, J MCEER Technical Rep.-MCEER9, P9
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Coles D, 2017, J HYDROL, V546, P419, DOI 10.1016/j.jhydrol.2016.12.013
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Dave R, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac2d67
   Dong SJ, 2023, RELIAB ENG SYST SAFE, V232, DOI 10.1016/j.ress.2022.109071
   Feng KR, 2020, STRUCT INFRASTRUCT E, V16, P1578, DOI 10.1080/15732479.2020.1713170
   Foundation T.R., 2015, City Resilience Index
   Hannah Ritchie P.R.a.M.R., 2022, Natural Disasters
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/NCLIMATE1911, 10.1038/nclimate1911]
   Hu MC, 2019, J CLEAN PROD, V222, P373, DOI 10.1016/j.jclepro.2019.03.044
   Hua P, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118515
   Ip WH, 2011, IEEE SYST J, V5, P189, DOI 10.1109/JSYST.2010.2096670
   Joerin J, 2014, DISASTERS, V38, P540, DOI 10.1111/disa.12058
   Kang J., 2020, Atmosphere, V11
   Kermanshah A, 2016, RELIAB ENG SYST SAFE, V153, P39, DOI 10.1016/j.ress.2016.04.007
   Kilanitis I, 2019, J TRAFFIC TRANSP ENG, V6, P35, DOI 10.1016/j.jtte.2018.07.002
   Koc K, 2020, NAT HAZARDS, V104, P1079, DOI 10.1007/s11069-020-04205-3
   Koley S, 2023, P I CIVIL ENG-ENG SU, V176, P198, DOI 10.1680/jensu.21.00066
   Kong JJ, 2021, RELIAB ENG SYST SAFE, V210, DOI 10.1016/j.ress.2021.107538
   Leandro J, 2020, WATER RES, V173, DOI 10.1016/j.watres.2020.115502
   [李娜 Li Na], 2018, [水利学报, Journal of Hydraulic Engineering], V49, P1489
   Li ZM, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101140
   Liao KH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05231-170448
   Liu W, 2020, RELIAB ENG SYST SAFE, V193, DOI 10.1016/j.ress.2019.106617
   Moghadas M, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101069
   Mukesh MS, 2021, ASCE-ASME J RISK U A, V7, DOI 10.1061/AJRUA6.0001137
   Peng J, 2021, J WATER CLIM CHANGE, V12, P116, DOI 10.2166/wcc.2020.195
   Qi WC, 2021, NAT HAZARDS, V108, P31, DOI 10.1007/s11069-021-04715-8
   Rajput AA, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104693
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Scott DM, 2006, J TRANSP GEOGR, V14, P215, DOI 10.1016/j.jtrangeo.2005.10.003
   Shen YW, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124159
   Singh P, 2018, INT J DISAST RISK RE, V28, P237, DOI 10.1016/j.ijdrr.2018.03.017
   Soltani-Sobh A, 2016, INT J DISAST RISK RE, V19, P324, DOI 10.1016/j.ijdrr.2016.09.004
   Sun DC, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12873
   Wang M, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103358
   Wang YT, 2019, WATER RES, V163, DOI 10.1016/j.watres.2019.114852
   Xie JQ, 2017, ENVIRON MODELL SOFTW, V95, P143, DOI 10.1016/j.envsoft.2017.06.027
   Zhang JX, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11050285
   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
   Zheng JX, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128911
   Zhou RT, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-20882-5
NR 52
TC 14
Z9 14
U1 29
U2 126
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 15
PY 2023
VL 344
AR 118770
DI 10.1016/j.jenvman.2023.118770
EA AUG 2023
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA R2OQ2
UT WOS:001062797400001
PM 37611346
DA 2025-04-22
ER

PT J
AU Wang, HH
   Yang, YS
   Liu, SR
   Xue, HY
   Xu, TT
   He, WL
   Gao, XY
   Jiang, RF
AF Wang, Huihui
   Yang, Yunsong
   Liu, Suru
   Xue, Hanyu
   Xu, Tingting
   He, Wanlin
   Gao, Xiaoyong
   Jiang, Ruifeng
TI Unveiling the Coupling Coordination and Interaction Mechanism between
   the Local Heat Island Effect and Urban Resilience in China
SO SUSTAINABILITY
LA English
DT Article
DE urban heat islands; urban resilience; coupling coordination degree;
   interaction mechanism; Guangdong-Hong Kong-Macao Bay Area
ID INTENSITY; URBANIZATION; CLIMATE; ENTROPY; IMPACT; MODEL; WAVES; RISK;
   CITY; CARE
AB Climate change and urbanization have led to the increasing prominence of urban heat islands (UHIs) today, posing a huge challenge to cities. Urban resilience (UR) refers to the ability of a city or region to adapt to changes and risks. However, the influence between the heat island effect and regional urban resilience is not well understood. In this study, we proposed a methodological framework for unveiling the coupling coordination and interaction mechanism between UHIs and UR. This study first explored UHIs in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and described the creation of a multidimensional index system that evaluates urban resilience across social, economic, ecological, and engineering dimensions. Furthermore, this study unveiled the coupling coordination effect of UHIs and UR through the coupling coordination degree model, and the influence mechanism between the drivers of UHIs and the change in UR was detected using a geographic probe. The results showed that the UHI region forms a ring-shaped belt around the entrance to the Pearl River Delta. The UHIs of the GBA show a significant trend of expansion and escalation over time. The UR of the GBA shows a spatial distribution pattern of high resilience among regional central cities and low resilience among peripheral cities, with significantly uneven development in sub-resilience dimensions. The UHIs and UR of the GBA showed a certain coupling and coordination effect, improving from barely synergistic to a primary coordination state. Among the drivers of UHIs, population density, precipitation, average nighttime light brightness, and ground-average CO2 emissions have strong explanatory power for the spatial variation in UR. The interaction between two factors has a stronger influence on UR than individual factors. The purpose of this paper is to initially reveal the influence mechanism between UHIs and UR and to provide a theoretical basis for further exploring the path of sustainable urban development.
C1 [Wang, Huihui; Yang, Yunsong; Liu, Suru; Xue, Hanyu; Xu, Tingting; He, Wanlin; Gao, Xiaoyong; Jiang, Ruifeng] Beijing Normal Univ, Adv Inst Nat Sci, Zhuhai 519087, Peoples R China.
   [Wang, Huihui; Yang, Yunsong] Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China.
   [Wang, Huihui; Yang, Yunsong] Beijing Normal Univ, Guangdong Higher Educ Inst, Key Lab Coastal Water Environm Management & Water, Zhuhai 519087, Peoples R China.
   [Liu, Suru; He, Wanlin] Beijing Normal Univ, Zhixing Coll, Zhuhai 519087, Peoples R China.
   [Xue, Hanyu] Zhuhai Inst Urban Planning & Design, Res Inst Urban Renewal, Zhuhai 519100, Peoples R China.
   [Xu, Tingting; Jiang, Ruifeng] Beijing Normal Univ, Huitong Coll, Zhuhai 519087, Peoples R China.
   [Gao, Xiaoyong] Natl Univ Singapore, Dept Geog, Singapore 117570, Singapore.
C3 Beijing Normal University; Beijing Normal University; Beijing Normal
   University; Beijing Normal University; Beijing Normal University;
   National University of Singapore
RP Wang, HH (corresponding author), Beijing Normal Univ, Adv Inst Nat Sci, Zhuhai 519087, Peoples R China.; Wang, HH (corresponding author), Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China.; Wang, HH (corresponding author), Beijing Normal Univ, Guangdong Higher Educ Inst, Key Lab Coastal Water Environm Management & Water, Zhuhai 519087, Peoples R China.
EM wanghui@bnu.edu.cn; 202321180071@mail.bnu.edu.cn;
   202111069040@mail.bnu.edu.cn; 202111069033@mail.bnu.edu.cn;
   202111079054@mail.bnu.edu.cn; 202111069011@mail.bnu.edu.cn;
   201911039071@mail.bnu.edu.cn; 202011059358@mail.bnu.edu.cn
OI Wang, Huihui/0000-0001-9518-679X
FU National Natural Science Foundation of China
FX The authors would like to thank the anonymous reviewers for their
   helpful and constructive comments.
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   [Anonymous], 2017, Gencer How to Make Cities More Resilient: A Handbook for Local Government Leaders
   Arsad FS, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192316356
   Carvalho D, 2017, URBAN CLIM, V19, P1, DOI 10.1016/j.uclim.2016.11.005
   Chen XL, 2023, RELIAB ENG SYST SAFE, V238, DOI 10.1016/j.ress.2023.109469
   Chen ZH, 2020, COMPUT ENVIRON URBAN, V83, DOI 10.1016/j.compenvurbsys.2020.101520
   Cheng H., 2019, Stat. Decis. Mak, V35, P79
   Chu X.J., 2010, Research on the Influence of Winter Climate Factors on the Snail Situation in Poyang Lake
   Chun B, 2014, LANDSCAPE URBAN PLAN, V125, P76, DOI 10.1016/j.landurbplan.2014.01.016
   Crowe PR, 2016, ENVIRON SCI POLICY, V62, P112, DOI 10.1016/j.envsci.2016.04.007
   Daniel F.G., 2017, Curr. Opin. Psychol, V16, P17
   Duan WQ, 2022, TECHNOL FORECAST SOC, V183, DOI 10.1016/j.techfore.2022.121944
   Estrada F, 2017, NAT CLIM CHANGE, V7, P403, DOI 10.1038/NCLIMATE3301
   Etkin D., 1999, ENVIRON HAZARDS-UK, V1, P69, DOI DOI 10.3763/EHAZ.1999.0109
   Feng J, 2018, FEM ECON, V24, P240, DOI 10.1080/13545701.2017.1370120
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Foster H., 1997, OZYMANDIAS PRINCIPLE
   Gallo KP, 1999, J APPL METEOROL, V38, P806, DOI 10.1175/1520-0450(1993)032<0899:TUONAD>2.0.CO;2
   Giridharan R, 2004, ENERG BUILDINGS, V36, P525, DOI 10.1016/j.enbuild.2003.12.016
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Han S, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107145
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hong T, 2022, MATH PROBL ENG, V2022, DOI 10.1155/2022/7339005
   Hsu PF, 2008, QUAL QUANT, V42, P181, DOI 10.1007/s11135-006-9040-8
   Hu F, 2006, Chin. J. Geophys, V49, P617, DOI [10.1002/cjg2.875, DOI 10.1002/CJG2.875]
   Hu XW, 2021, REG SUSTAIN, V2, P211, DOI 10.1016/j.regsus.2021.10.001
   Jiao LD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101543
   Jozi SA, 2012, ENVIRON MONIT ASSESS, V184, P6913, DOI 10.1007/s10661-011-2468-x
   Kabano P, 2021, LANDSCAPE URBAN PLAN, V206, DOI 10.1016/j.landurbplan.2020.103989
   Kayaga SM, 2021, ENVIRON URBAN, V33, P131, DOI 10.1177/0956247820952030
   Kingir S., 2016, Elektron. Sos. Bilim. Derg, V15, P1046, DOI [10.17755/esosder.258835, DOI 10.17755/ESOSDER.258835]
   Li D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau4299
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Li X, 2023, J CLEAN PROD, V397, DOI 10.1016/j.jclepro.2023.136449
   Li XM, 2017, SCI TOTAL ENVIRON, V605, P426, DOI 10.1016/j.scitotenv.2017.06.229
   Li Y.M., 2004, China Gard, V2004, P77
   Li YF, 2012, J ENVIRON MANAGE, V98, P127, DOI 10.1016/j.jenvman.2011.12.025
   Liu HM, 2020, SCI TOTAL ENVIRON, V732, DOI 10.1016/j.scitotenv.2020.139283
   Liu LN, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107186
   Liu LN, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134400
   Liu LN, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154157
   Liu NN, 2018, ECOL INDIC, V93, P1163, DOI 10.1016/j.ecolind.2018.06.013
   Luo X, 2022, WATER-SUI, V14, DOI 10.3390/w14071083
   Mahmood R, 2014, INT J CLIMATOL, V34, P929, DOI 10.1002/joc.3736
   Manoli G, 2019, NATURE, V573, P55, DOI 10.1038/s41586-019-1512-9
   Martin R, 2016, REG STUD, V50, P561, DOI 10.1080/00343404.2015.1136410
   Masten AS, 2008, ECOL SOC, V13
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Mirzaei PA, 2010, BUILD ENVIRON, V45, P2192, DOI 10.1016/j.buildenv.2010.04.001
   Monteiro FF, 2021, URBAN CLIM, V35, DOI 10.1016/j.uclim.2020.100726
   Nuruzzaman M., 2015, INT J ENV MONITORING, V3, P67, DOI DOI 10.11648/J.IJEMA.20150302.15
   O'Malley C, 2015, SUSTAIN CITIES SOC, V19, P222, DOI 10.1016/j.scs.2015.05.009
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   Perrings C, 1998, ENVIRON RESOUR ECON, V11, P503, DOI 10.1023/A:1008255614276
   Qiao Z, 2023, RESOUR CONSERV RECY, V188, DOI 10.1016/j.resconrec.2022.106680
   Reia SM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33527-y
   Shao Y., 2015, URBAN PLANNING INT, V30, P48, DOI DOI 10.3969/J.ISSN.1000-0232.2017.03.007
   Shenoy S, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2207536119
   Shi CC, 2022, J CLEAN PROD, V372, DOI 10.1016/j.jclepro.2022.133737
   Shirani-Bidabadi N, 2019, SUSTAIN CITIES SOC, V45, P686, DOI 10.1016/j.scs.2018.12.005
   Song CR, 2022, URBAN CLIM, V46, DOI 10.1016/j.uclim.2022.101330
   Song QJ, 2018, ENERG POLICY, V121, P346, DOI 10.1016/j.enpol.2018.05.037
   Song Q, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021538
   Stott P, 2016, SCIENCE, V352, P1517, DOI 10.1126/science.aaf7271
   Taha H, 2015, SUSTAIN CITIES SOC, V19, P207, DOI 10.1016/j.scs.2015.03.009
   Tang DC, 2023, SUSTAIN CITIES SOC, V96, DOI 10.1016/j.scs.2023.104621
   Tian Y, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0243459
   Tomal M, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102992
   Tong H., 2005, J. Appl. Meteorol, V2005, P357
   Tran DX, 2017, ISPRS J PHOTOGRAMM, V124, P119, DOI 10.1016/j.isprsjprs.2017.01.001
   Tzeng GH, 2011, MULTIPLE ATTRIBUTE DECISION MAKING: METHODS AND APPLICATIONS, P1
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Walker B, 2004, ECOL SOC, V9
   Wang H, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107163
   Wang HH, 2024, ENVIRON IMPACT ASSES, V105, DOI 10.1016/j.eiar.2024.107422
   Wang HH, 2024, ENVIRON IMPACT ASSES, V104, DOI 10.1016/j.eiar.2023.107333
   Wang J, 2015, REMOTE SENS-BASEL, V7, P3670, DOI 10.3390/rs70403670
   Wang SJ, 2022, J GEOGR SCI, V32, P44, DOI 10.1007/s11442-022-1935-3
   Xi ZJ, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160270
   Yadav N, 2017, SUSTAIN CITIES SOC, V32, P202, DOI 10.1016/j.scs.2017.04.003
   Yang C, 2020, ECOL INDIC, V115, DOI 10.1016/j.ecolind.2020.106373
   Yardley J, 2011, GLOBAL ENVIRON CHANG, V21, P670, DOI 10.1016/j.gloenvcha.2010.11.010
   Zhang P., 2018, Urban Probl, V9, P27, DOI [10.13239/j.bjsshkxy.cswt.180904, DOI 10.13239/J.BJSSHKXY.CSWT.180904]
   Zhang Y, 2020, ENVIRON INT, V143, DOI 10.1016/j.envint.2020.105921
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
   Zhao RD, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.102997
   Zhou DC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074009
   Zhou DC, 2016, SCI TOTAL ENVIRON, V544, P617, DOI 10.1016/j.scitotenv.2015.11.168
   Zhu Y, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103892
   Zou XY, 2023, NAT HAZARDS, V115, P1, DOI 10.1007/s11069-022-05548-9
NR 92
TC 2
Z9 2
U1 26
U2 47
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2024
VL 16
IS 6
AR 2306
DI 10.3390/su16062306
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 MI0V8
UT WOS:001192885900001
OA Green Published, gold
DA 2025-04-22
ER

PT J
AU Zhang, YF
   Ng, ST
AF Zhang, Yifan
   Ng, S. Thomas
TI A hypothesis-driven framework for resilience analysis of public
   transport network under compound failure scenarios
SO INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION
LA English
DT Article
DE Hypothesis-driven; Urban flooding; Compound failures; EWM-TOPSIS;
   Resilience
ID CENTRALITY
AB Urban flood risk is becoming a severe issue in most cities and has been a critical global concern of the twenty-first century. Flooding events can trigger significant failures in public transport networks (PTNs) within urban areas. With a growing population in urban areas, demand for transportation increases. Consequently, the dual forces of climate change and rapid urbanization have intensified the size and frequency of floods. Furthermore, the increasing threat of targeted attacks, natural hazards, and compound failures to PTNs has called for an urgent need to improve the resilience of critical lifeline systems. Here, we propose a new synthetic criterion for identifying the critical nodes of PTNs. Additionally, a hypothesis-driven framework for resilience analysis of PTNs against deliberate and compound failures is developed, which we demonstrate on Mass Transit Railway (MTR) in Hong Kong to obtain a quantitative understanding of resilience. Besides, the quantitative comparison of the viability of multiple recovery strategies suggests that the proposed method (EWM - TOPSIS) performs the best for the MTR network to recover after a disruption. Our findings can generalize across urban critical infrastructure systems as well as natural and human systems.
C1 [Zhang, Yifan] Univ Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R China.
   [Ng, S. Thomas] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon Tong, 83 Tat Chee Ave, Hong Kong, Peoples R China.
C3 University of Hong Kong; City University of Hong Kong
RP Ng, ST (corresponding author), City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon Tong, 83 Tat Chee Ave, Hong Kong, Peoples R China.
EM thomasng@cityu.edu.hk
RI Zhang, Yang/A-5460-2011; Ng, S./AAZ-9757-2020; Ng, Thomas Shiu
   Tong/C-1809-2009
OI Ng, Thomas Shiu Tong/0000-0003-2062-0234
FU Research Grants Council of theHKSAR Government [17248216, 17204017]
FX The authors would like to thank the Research Grants Council of theHKSAR
   Government for financial supporting this research through the General
   Research Fund (Grant Nos.: 17248216 and 17204017) .
CR Abdelgawad AA, 2019, PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, P629
   Ai XB, 2017, ENTROPY-SWITZ, V19, DOI 10.3390/e19070303
   Amini MH, 2018, ENERGIES, V11, DOI 10.3390/en11010196
   [Anonymous], Disaster Resilience
   Arulselvan A, 2011, SPRINGER SER OPTIM A, V46, P79, DOI 10.1007/978-1-4419-0534-5_4
   Barabasi A.-L, 2016, Network Science
   Barthélemy M, 2004, EUR PHYS J B, V38, P163, DOI 10.1140/epjb/e2004-00111-4
   BAVELAS A, 1950, J ACOUST SOC AM, V22, P723
   Bhatia U, 2018, ARXIV PREPRINT ARXIV
   Bhatia U, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0141890
   Buldyrev SV, 2010, NATURE, V464, P1025, DOI 10.1038/nature08932
   Chan HY, 2021, J TRANSP GEOGR, V91, DOI 10.1016/j.jtrangeo.2020.102945
   Derrible S, 2011, TRANSPORT REV, V31, P495, DOI 10.1080/01441647.2010.543709
   Faramondi L, 2020, INT J CRIT INFR PROT, V28, DOI 10.1016/j.ijcip.2020.100338
   Faramondi L, 2019, IEEE T SYST MAN CY-S, V49, P2036, DOI 10.1109/TSMC.2018.2790438
   Hepburn C, 2020, OXFORD REV ECON POL, V36, pS359, DOI 10.1093/oxrep/graa015
   Kanwar K, 2019, PHYSICA A, V526, DOI 10.1016/j.physa.2019.04.227
   Kumar R., 2020, Procedia Computer Science, V173, P94, DOI [10.1016/j.procs.2020.06.013, DOI 10.1016/J.PROCS.2020.06.013]
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Ma F, 2020, J CLEAN PROD, V265, DOI 10.1016/j.jclepro.2020.121747
   Muriel-Villegas JE, 2016, RELIAB ENG SYST SAFE, V152, P151, DOI 10.1016/j.ress.2016.03.006
   Najafi MR, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102516
   Psaltoglou A, 2018, INT J CRIT INFR PROT, V21, P22, DOI 10.1016/j.ijcip.2018.02.003
   [任晓龙 Ren Xiaolong], 2014, [科学通报, Chinese Science Bulletin], V59, P1175
   SABIDUSSI G, 1966, PSYCHOMETRIKA, V31, P581, DOI 10.1007/BF02289527
   Stergiopoulos G, 2015, INT J CRIT INFR PROT, V10, P34, DOI 10.1016/j.ijcip.2015.05.003
   Testa AC, 2015, TRANSPORT RES REC, P29, DOI 10.3141/2532-04
   Transport Department, 2019, ANN TRANSP DIG
   Ward P. J., 2020, AQUEDUCT FLOODS METH
   Yadav N, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-66049-y
   Yu QW, 2018, NAT HAZARDS, V92, P1011, DOI 10.1007/s11069-018-3236-9
   Zhang JH, 2018, PHYSICA A, V496, P72, DOI 10.1016/j.physa.2017.12.094
NR 32
TC 13
Z9 14
U1 14
U2 73
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1874-5482
EI 2212-2087
J9 INT J CRIT INFR PROT
JI Int. J. Crit. Infrastruct. Prot.
PD DEC
PY 2021
VL 35
AR 100455
DI 10.1016/j.ijcip.2021.100455
EA JUL 2021
PG 15
WC Computer Science, Information Systems; Engineering, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering
GA UZ0RI
UT WOS:000701920100001
DA 2025-04-22
ER

PT J
AU Zhang, SS
   Ma, XY
   Cui, Q
   Liu, JM
AF Zhang, Sisi
   Ma, Xiaoyu
   Cui, Qi
   Liu, Jiamin
TI Digitalization and urban resilience: how does the allocation of digital
   factors affect urban resilience under energy constraints in China?
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Digital factor allocation; Energy constraints; Urban resilience;
   Resource allocation effect; Agglomeration effect
ID INSTRUMENTAL VARIABLE ESTIMATION; COMMUNITY RESILIENCE; INNOVATION;
   ECONOMY
AB China is in the stage of rapid development of new urbanization, cities are more vulnerable when facing various risks, and the construction of urban resilience (UR) makes cities more secure. At the same time, the allocation of digital factors has a vital impact on the construction of UR under energy constraints. Based on the panel data of cities in China from 2011 to 2020, this paper studies the influence and mechanism of digital factor allocation (DFA) on UR under energy constraints through panel fixed effect model (FE), mediation effect model, and panel threshold model. The main empirical results include: (1) The misallocation of digital factors has a negative impact on UR. In the case of differences in the division of urban agglomeration, the impact of digital factor misallocation (DFM) on UR will also be different. (2) The misallocation of digital factors has an impact on UR through the intermediary effects of capital allocation efficiency, green innovation and industrial structure upgrading. (3) There is a nonlinear relationship between the DFM and UR.
C1 [Ma, Xiaoyu] Xinjiang Univ, Innovat Management Res Ctr, Urumqi 830047, Peoples R China.
   [Zhang, Sisi; Ma, Xiaoyu; Cui, Qi; Liu, Jiamin] Xinjiang Univ, Sch Econ & Management, Urumqi 830047, Peoples R China.
C3 Xinjiang University; Xinjiang University
RP Ma, XY (corresponding author), Xinjiang Univ, Innovat Management Res Ctr, Urumqi 830047, Peoples R China.; Ma, XY (corresponding author), Xinjiang Univ, Sch Econ & Management, Urumqi 830047, Peoples R China.
EM zssg425@163.com; maxiaoyu@xju.edu.cn; cuiqi9904@163.com;
   644816025@stu.xju.edu.cn
RI Zhang, Sisi/AFV-4667-2022
OI Ma, Xiaoyu/0000-0001-9248-2593
FU National Social Science Foundation [21XRK007]; Scientific Research
   Program for Universities in Xinjiang Uygur Autonomous Regio
   [XJE-DU2021S1002]; "Silk Road" Scientific Research Innovation Project
   for Graduate Students of Xinjiang University; Research and Innovation
   Program for Outstanding doctoral students [XJU2022BS008]; Xinjiang
   Autonomous Regions [XJ2023G009]
FX Support was provided by the National Social Science Foundation Project
   (Grant No. 21XRK007); Scientific Research Program for Universities in
   Xinjiang Uygur Autonomous Region (Grant No. XJE-DU2021S1002); "Silk
   Road" Scientific Research Innovation Project for Graduate Students of
   Xinjiang University (Grant No. SL2022002); Research and Innovation
   Program for Outstanding doctoral students (XJU2022BS008); the graduate
   research and innovation project of Xinjiang Autonomous Regions
   (XJ2023G009).
CR Acquisti A, 2016, J ECON LIT, V54, P442, DOI 10.1257/jel.54.2.442
   Adebayo TS, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160181
   Agrawal Ajay., 2019, EC ARTIFICIAL INTELL, P149, DOI [DOI 10.7208/CHICAGO/9780226613475.003.0005, 10.3386/w24541, DOI 10.3386/W24541]
   Ahmad F, 2021, SUSTAIN PROD CONSUMP, V26, P89, DOI 10.1016/j.spc.2020.09.014
   Ahmad M, 2021, SCI TOTAL ENVIRON, V765, DOI 10.1016/j.scitotenv.2020.144527
   Amirzadeh M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103853
   [Anonymous], 2021, B 7 NAT CENS
   Apostu SA, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192215410
   ARELLANO M, 1995, J ECONOMETRICS, V68, P29, DOI 10.1016/0304-4076(94)01642-D
   ARUP, 2015, ROCK FDN CIT RES FRA
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Bauer P.W., 1990, J PROD ANAL, V1, P287, DOI [DOI 10.1007/BF00160047, 10.1007/BF00160047]
   Bibria SE, 2017, SUSTAIN CITIES SOC, V29, P219, DOI 10.1016/j.scs.2016.11.004
   Caner M, 2004, ECONOMET THEOR, V20, P813, DOI 10.1017/S0266466604205011
   Cao JH, 2021, ENVIRON SCI POLLUT R, V28, P48053, DOI 10.1007/s11356-021-13828-3
   Chen G., 2022, China Industrial Economics, P118, DOI [10.19581/j.cnki.ciejournal.2022.08.007, DOI 10.19581/J.CNKI.CIEJOURNAL.2022.08.007]
   Chen K, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142214676
   Chu XX, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072115
   Chun H, 2015, RES POLICY, V44, P999, DOI 10.1016/j.respol.2014.11.007
   Colten CE, 2008, ENVIRONMENT, V50, P36, DOI 10.3200/ENVT.50.5.36-47
   Conley TG, 2012, REV ECON STAT, V94, P260, DOI 10.1162/REST_a_00139
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   He PJ, 2019, ENERG ECON, V84, DOI 10.1016/j.eneco.2019.104569
   Hinings B, 2018, INFORM ORGAN-UK, V28, P52, DOI 10.1016/j.infoandorg.2018.02.004
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hou WG, 2017, IEEE ACCESS, V5, P1363, DOI 10.1109/ACCESS.2017.2664981
   Howell ST, 2017, AM ECON REV, V107, P1136, DOI 10.1257/aer.20150808
   Hussain Z, 2022, FRONT PUBLIC HEALTH, V9, DOI 10.3389/fpubh.2021.816697
   Jing L.B., 2021, Guizhou Soc. Sci, V373, P108, DOI [10.13713/j.cnki.cssci.2021.01.014, DOI 10.13713/J.CNKI.CSSCI.2021.01.014]
   Kartal MT, 2022, RENEW ENERG, V184, P871, DOI 10.1016/j.renene.2021.12.022
   Khachoo Q, 2018, J ECON BUS, V97, P39, DOI 10.1016/j.jeconbus.2018.03.002
   Konecny M., 2017, ISPRS INT J GEO-INF
   Kummitha RKR, 2017, CITIES, V67, P43, DOI 10.1016/j.cities.2017.04.010
   Li JL, 2022, MANAG DECIS ECON, V43, P616, DOI 10.1002/mde.3406
   Li Y, 2021, ENVIRON SCI POLLUT R, V28, P64606, DOI 10.1007/s11356-021-15304-4
   Li YN., 2021, GERMANY URBAN STUDIE, V28, P65
   Li Z., 2021, J ECONOMISTS, V10, P41
   Li Z., 2021, ACAD RES, V07, P114
   Li Z. G., 2021, ECONOMIST, V274, P41, DOI [10.16158/j.cnki.51-1312/f.2021.10.005, DOI 10.16158/J.CNKI.51-1312/F.2021.10.005, https://doi.org/10.16158/j.cnki.51-1312/f.2021.10.005]
   Li ZG, 2022, J CLEAN PROD, V351, DOI 10.1016/j.jclepro.2022.131570
   Li ZHX, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13148058
   Lin BQ, 2014, RENEW SUST ENERG REV, V33, P689, DOI 10.1016/j.rser.2014.02.017
   Liu JM, 2022, ENVIRON SCI POLLUT R, V29, P35828, DOI 10.1007/s11356-022-18667-4
   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
   MacKinnon D P, 2000, Prev Sci, V1, P173, DOI 10.1023/A:1026595011371
   Mitchell T., 2012, ODI background note, P1
   Mou Y, 2021, J CLEAN PROD, V291, DOI 10.1016/j.jclepro.2020.125719
   Mutani G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145678
   Ning J, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.967588
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Papa R., 2015, TEMA, V1, P1
   Pata UK, 2023, J ENVIRON MANAGE, V329, DOI 10.1016/j.jenvman.2022.117080
   Pata UK, 2021, RESOUR POLICY, V74, DOI 10.1016/j.resourpol.2021.102313
   Pata UK, 2021, WATER-SUI, V13, DOI 10.3390/w13101387
   Pata UK, 2021, ENERGY, V216, DOI 10.1016/j.energy.2020.119220
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Persico CL, 2021, J ENVIRON ECON MANAG, V107, DOI 10.1016/j.jeem.2021.102431
   Qian W, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14138020
   [乔晗 Qiao Han], 2022, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V37, P1444
   Qiu D, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031285
   Qiu W, 2022, ENVIRON SCI POLLUT R, V29, P32732, DOI 10.1007/s11356-022-18607-2
   Röller LH, 2001, AM ECON REV, V91, P909, DOI 10.1257/aer.91.4.909
   Rose Adam., 2004, Disaster Prevention and Management, V13, P307, DOI DOI 10.1108/09653560410556528
   Saidi K, 2017, J KNOWL ECON, V8, P789, DOI 10.1007/s13132-015-0276-1
   Samarakkody A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141912716
   Schuurman Dimitri, 2012, J. theor. appl. electron. commer. res., V7, P49
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Singh S, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102364
   Song ML, 2021, ENERG POLICY, V153, DOI 10.1016/j.enpol.2021.112267
   Song ML, 2019, TECHNOL FORECAST SOC, V144, P361, DOI 10.1016/j.techfore.2018.07.055
   Su JQ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131810105
   Sun XX, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.904254
   Tan J., 2021, Economic Resilience in Regions and Organisations, P91, DOI DOI 10.1007/978-3-658-33079-84
   Tan JT, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102906
   Tang C, 2022, TECHNOL SOC, V69, DOI 10.1016/j.techsoc.2022.101963
   Tierney K., 2007, TR News, V250, P14, DOI DOI 10.17226/23168
   Umar M, 2020, SUSTAIN DEV, V28, P1678, DOI 10.1002/sd.2116
   Wang JD, 2022, TECHNOL FORECAST SOC, V184, DOI 10.1016/j.techfore.2022.121960
   Wang J, 2020, ENERGIES, V13, DOI 10.3390/en13215683
   Wang LL, 2022, ENVIRON SCI POLLUT R, V29, P48539, DOI 10.1007/s11356-022-19182-2
   Wang ZY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042077
   Wu HT, 2021, ENERG ECON, V103, DOI 10.1016/j.eneco.2021.105577
   Wu YZ, 2018, J CLEAN PROD, V173, P60, DOI 10.1016/j.jclepro.2017.01.047
   Xiang XH, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127187
   Yang X, 2023, ECON INNOV NEW TECH, V32, P343, DOI 10.1080/10438599.2021.1916486
   Yang XD, 2022, ENVIRON SCI POLLUT R, V29, P23436, DOI 10.1007/s11356-021-17217-8
   Zhang SS, 2021, FRONT ENERGY RES, V9, DOI 10.3389/fenrg.2021.798922
   Zhang W, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0257365
   Zhao RD, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104160
   Zhao TT, 2023, ENVIRON SCI POLLUT R, V30, P35478, DOI 10.1007/s11356-022-24706-x
   Zhou X, 2021, J CLEAN PROD, V282, DOI 10.1016/j.jclepro.2020.124464
NR 94
TC 8
Z9 8
U1 23
U2 82
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 SEP
PY 2024
VL 26
IS 9
BP 23613
EP 23641
DI 10.1007/s10668-023-03614-1
EA JUL 2023
PG 29
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA D4Y2L
UT WOS:001034246000003
DA 2025-04-22
ER

EF