PT J
AU Remali, A
   Abudib, H
AF Remali, Adel
   Abudib, Huyam
TI INTERROGATING THE CHARACTERISTICS OF RESIDENTIAL NEIGHBOURHOODS IN THE CITY OF TRIPOLI / LIBYA
SO OPEN HOUSE INTERNATIONAL
LA English
DT Article
DE Residential Neighbourhood; Space Profile; Walking Tour Assessment; Tripoli
AB Residential neighbourhoods are vital parts of cities, accommodating various activity patterns that reflect the daily life for residents. Each residential neighbourhood is characterised by housing typology and urban pattern, which has been formed and transformed overtime. The city centre of Tripoli has experienced continuous growth and witnessed intensive development programs that transformed residential neighbourhoods and housing typology. This study explores the characteristics of six different neighbourhoods within the city of Tripoli and establishes a profile for each, focusing on the way in which key principles and values are perceived. Using defined indicators, the study measures the spatial typology, architecture pattern, accessibility, activity/use, and type of users. Assessing the characteristics of each neighbourhood the paper examines functional, social and perceptual attributes through the use of a walking tour assessment, which is composed of checklists and a scoring system. Findings demonstrate the absence of landscape features, such as greenery elements and appropriate street furniture, as well as absence of adequate facilities or designated playing areas for children. The paper calls for assessing existing residential districts as a step towards generating neighbourhoods that are meaningful and prosperous.
C1 [Remali, Adel] Univ Almergab, Dept Architecture, Al Khums, Libya.
   [Abudib, Huyam] Univ Strathclyde, Cluster Res Architecture & Urbanism Global South, Dept Architecture, Glasgow, Lanark, Scotland.
C3 University of Strathclyde
RP Remali, A (通讯作者)，Univ Almergab, Dept Architecture, Al Khums, Libya.
EM adel.m.remail@gmail.com; huyam.h.abudib@gmail.com
CR ABUDIB H, 2018, THESIS, V0, P0
   ADUWO B, 2011, THESIS, V0, P0
   Altman I, 1992, ADVANCES IN THEORY AND RESEARCH, V12, P0
   Altman Irwin, 1984, CULTURE ENV, V0, P0
   Unknown -, 1967, THE CITY, V0, P0
   Cachia AnthonyJ, 1975, LIBYA UNDER THE SECOND OTTOMAN OCCUPATION: 1835-1911, V0, P0
   Crow Graham, 2013, COMMUNITY LIFE: AN INTRODUCTION TO LOCAL SOCIAL RELATIONS, V0, P0
   Dunbabin KMD, 1978, THE MOSAICS OF ROMAN NORTH AFRICA : STUDIES IN ICONOGRAPHY AND PATRONAGE, V0, P0
   ETLISSI K, 1985, THE STORY OF MACLINA, V0, P0
   FISCHER CS, 1976, THE URBAN EXPERRENCE, V0, P0
   Fuller Mia, 2000, JOURNAL OF NORTH AFRICAN STUDIES, V5, P121, DOI 10.1080/13629380008718415
   Geertz C, 1973, INTERPRETATION CULTU, V5019, P0
   Harden D, 1971, THE PHOENICIANS, V0, P0
   Haynes DEL, 2003, ANCIENT TRIPOLITANIA, V0, P0
   Hidalgo MC, 2001, J ENVIRON PSYCHOL, V21, P273, DOI 10.1006/jevp.2001.0221
   LEE BA, 1994, DEMOGRAPHY, V31, P249, DOI 10.2307/2061885
   Martin D, 1998, COMPUTERS, V0, P0
   McLaren B, 2006, ARCHITECTURE AND TOURISM IN ITLALIAN COLONIAL LIBYA : AN AMBIVALENT MODERNISM, V0, P0
   Metz HC, 2004, LIBYA, V0, P0
   Remali AM, 2017, URBAN MORPHOL, V21, P161
   Salama AM, 2017, SPATIUM, V0, PP22, DOI 10.2298/spat1737022s
   Salama AM, 2017, ARCHNET-IJAR, V11, P137
   Salama AM, 2015, PROC INST CIV ENG-U, V168, P75, DOI 10.1680/udap.14.00011
   SHAIBOUB AS, 1979, THESIS, V0, P0
   Ward P, 1996, TRIPOLI PORTRAIT CIT, V0, P0
   Wright J, 1969, NATIONS MODERN WORLD, V0, P0
NR 27
TC 3
Z9 3
U1 0
U2 4
PU OPEN HOUSE INT
PI GREAT BRITAIN
PA URBAN INTERNATIONAL PRESS, PO BOX 74, GATESHEAD, TYNE & WEAR, GREAT BRITAIN, NE9 5UZ, ENGLAND
SN 0168-2601
EI 
J9 OPEN HOUSE INT
JI Open House Int.
PD MAR 15
PY 2019
VL 44
IS 1
BP 81
EP 89
DI 
PG 9
WC Architecture; Environmental Studies; Urban Studies
SC Architecture; Environmental Sciences & Ecology; Urban Studies
GA HQ9CO
UT WOS:000462724400010
DA 2026-05-02
ER

PT J
AU Arranz-López, A
   Soria-Lara, JA
   Pueyo-Campos, A
AF Arranz-Lopez, Aldo
   Soria-Lara, Julio A.
   Pueyo-Campos, Angel
TI Social and spatial equity effects of non-motorised accessibility to retail
SO CITIES
LA English
DT Article
DE Walking; Cycling; Inequalities; Social exclusion; Cluster analysis
ID transport accessibility; mobility environments; exclusion; walking; lessons; justice; distance; perth
AB The evaluation of social and spatial effects of how accessibility is distributed between individuals is key to studying equity issues in transportation. However, the establishment of minimum accessibility requirements and the identification of accessibility thresholds for population groups remain as key methodological barriers. This paper contributes to addressing these shortcomings by using Retail Mobility Environments as an analytical and geographical concept to identify advantageous and disadvantageous non-motorised accessibility to retail for different population groups. The city of Zaragoza, Spain provides the spatial laboratory for experimentation, and the study focuses on four target groups: the young employed, the young unemployed, seniors, and adults. The results reveal social and spatial inequalities in the distribution of non-motorised accessibility in Zaragoza, with marked negative effects on the young unemployed and adults. On the other hand, seniors and the young employed are the groups that benefit from the current setup. It is finally discussed on the capacity of the proposed methodology for exploring both social and spatial inequalities, for establishing minimum accessibility requirements, and for identifying accessibility thresholds according to different population groups. Furthermore, the convenience of linking equity issues to non-motorised accessibility is also highlighted.
C1 [Arranz-Lopez, Aldo; Pueyo-Campos, Angel] Univ Zaragoza, Dept Geog & Spatial Planning, Zaragoza, Spain.
   [Soria-Lara, Julio A.] Univ Politecn Madrid, Transport Res Ctr TRANSyT, Madrid, Spain.
C3 University of Zaragoza; Universidad Politecnica de Madrid
RP Arranz-López, A (通讯作者)，Univ Zaragoza, Dept Geog & Spatial Planning, Zaragoza, Spain.
EM arranz@unizar.es
FU Ministry of Economy and Finance; European Institutions. R&D Spanish program [CSO2016-74888-C4-3-R]; Spanish Government under National RD Plan [CSO2017-86914-C2-2-P]; Plan Propio de Investigacion de la Universidad Politecnica de Madrid [VJIDOCUPM18JASL]
CR Arranz-López A, 2019, INT J SUSTAIN TRANSP, V13, P639, DOI 10.1080/15568318.2018.1498563
   Arranz-López A, 2017, J TRANSP GEOGR, V58, P92, DOI 10.1016/j.jtrangeo.2016.11.010
   Ayuntamiento de Zaragoza, 2018, REV PLAN MOV SOST, V0, P0
   Banister D, 2018, INEQUALITY IN TRANSPORT, V0, P0
   Bertolini L, 2003, ENVIRON PLANN A, V35, P575, DOI 10.1068/a3592
   Bertolini L, 2003, JOURNAL OF URBAN DESIGN, V8, P27, DOI 10.1080/1357480032000064755
   Bertolini L, 2017, PLANNING THE MOBILE METROPOLIS: TRANSPORT FOR PEOPLE, V0, Places and the Planet
   Beyazit E, 2011, TRANSPORT REV, V31, P117, DOI 10.1080/01441647.2010.504900
   Boisjoly G, 2017, TRANSPORT POLICY, V55, P38, DOI 10.1016/j.tranpol.2016.12.011
   Casas I, 2007, PROF GEOGR, V59, P463, DOI 10.1111/j.1467-9272.2007.00635.x
   Currie G, 2008, TRANSPORT REV, V28, P529, DOI 10.1080/01441640701817197
   Delbosc A, 2011, J TRANSP GEOGR, V19, P1252, DOI 10.1016/j.jtrangeo.2011.02.008
   Dodson J, 2010, TRANSPORT RES REC, V0, PP24, DOI 10.3141/2163-03
   Farber S, 2014, TRANSPORT RES A-POL, V67, P291, DOI 10.1016/j.tra.2014.07.013
   Geurs KT, 2004, J TRANSP GEOGR, V12, P127, DOI 10.1016/j.jtrangeo.2003.10.005
   Geurs K, 2009, TRANSPORT REV, V29, P69, DOI 10.1080/01441640802130490
   Grengs J, 2015, INT J SUSTAIN TRANSP, V9, P1, DOI 10.1080/15568318.2012.719582
   Grengs J, 2012, ENVIRON PLANN B, V39, P785, DOI 10.1068/b36097
   Guzman LA, 2017, J TRANSP GEOGR, V58, P236, DOI 10.1016/j.jtrangeo.2016.12.016
   Kenyon S, 2003, P I CIVIL ENG-MUNIC, V156, P97
   Lucas K, 2012, TRANSPORT POLICY, V20, P105, DOI 10.1016/J.TRANPOL.2012.01.013
   Lucas K, 2016, P I CIVIL ENG-TRANSP, V169, P353, DOI 10.1680/jtran.15.00073
   Lucas K, 2016, TRANSPORT RES A-POL, V85, P157, DOI 10.1016/j.tra.2016.01.008
   Lucas K, 2016, TRANSPORTATION, V43, P473, DOI 10.1007/s11116-015-9585-2
   Marquet O, 2014, TRANSPORT RES A-POL, V70, P210, DOI 10.1016/j.tra.2014.10.007
   Martens K, 2015, TRANSPORT RES REC, V0, PP18, DOI 10.3141/2499-03
   Martens K, 2012, TRANSPORTATION, V39, P1035, DOI 10.1007/s11116-012-9388-7
   Martens K, 2012, TRANSPORT RES A-POL, V46, P684, DOI 10.1016/j.tra.2012.01.004
   Mullen C, 2014, TRANSPORT RES A-POL, V61, P238, DOI 10.1016/j.tra.2014.01.009
   Bocarejo SJP, 2012, J TRANSP GEOGR, V24, P142, DOI 10.1016/j.jtrangeo.2011.12.004
   Páez A, 2012, J TRANSP GEOGR, V25, P141, DOI 10.1016/j.jtrangeo.2012.03.016
   Paez A, 2010, INT J HEALTH GEOGR, V9, P0, DOI 10.1186/1476-072X-9-52
   Páez A, 2010, URBAN STUD, V47, P1415, DOI 10.1177/0042098009353626
   Pereira RHM, 2017, TRANSPORT REV, V37, P170, DOI 10.1080/01441647.2016.1257660
   Prins RG, 2014, HEALTH PLACE, V27, P127, DOI 10.1016/j.healthplace.2014.01.012
   Ricciardi AM, 2015, J TRANSP GEOGR, V43, P111, DOI 10.1016/j.jtrangeo.2015.01.011
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   Silva C, 2014, ENVIRON PLANN B, V41, P211, DOI 10.1068/b37138
   Silva C, 2013, PROG PLANN, V81, P1, DOI 10.1016/j.progress.2012.07.001
   Soria-Lara JA, 2016, TRANSPORT RES A-POL, V91, P330, DOI 10.1016/j.tra.2016.06.023
   Soria-Lara JA, 2015, J ENVIRON POL PLAN, V17, P553, DOI 10.1080/1523908X.2014.991779
   Talavera-Garcia R, 2014, DOC ANAL GEOGR, V60, P161, DOI 10.5565/rev/dag.55
   van Wee B, 2016, J TRANSP GEOGR, V51, P9, DOI 10.1016/j.jtrangeo.2015.10.018
   van Wee B, 2011, EUR J TRANSP INFRAST, V11, P350
   Xia JH, 2016, TRANSPORT RES A-POL, V94, P205, DOI 10.1016/j.tra.2016.09.009
   Yang Y, 2012, AM J PREV MED, V43, P11, DOI 10.1016/j.amepre.2012.03.015
   Zandvliet R, 2006, URBAN STUD, V43, P1159, DOI 10.1080/00420980500406702
NR 47
TC 36
Z9 42
U1 3
U2 53
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 MAR 15
PY 2019
VL 86
IS 
BP 71
EP 82
DI 10.1016/j.cities.2018.12.012
PG 12
WC Urban Studies
SC Urban Studies
GA HM1TR
UT WOS:000459236400007
DA 2026-05-02
ER

PT J
AU Dong, W
   Cao, XY
   Wu, XY
   Dong, Y
AF Dong, Wei
   Cao, Xinyu
   Wu, Xinyi
   Dong, Yu
TI Examining pedestrian satisfaction in gated and open communities: An integration of gradient boosting decision trees and impact-asymmetry analysis
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Importance performance analysis; Satisfaction; Walkability; Decision tree; Neighborhood design
ID built environment; physical-activity; neighborhood satisfaction; customer satisfaction; quality attributes; 3-factor theory; self-selection; walkability; walking; performance
AB This study compares satisfaction with walkability of residents in gated and open communities in Harbin, China. The results of gradient boosting decision trees show that neighborhood attributes associated with satisfaction with walkability differ between gated and open communities. Neighborhood leisure activities, space, and street furniture are the most influential attributes for walkability in gated communities. Sidewalk quality, neighborhood safety, and leisure activities are important for open communities. Using impact-asymmetry analysis, this study illustrates the nonlinear effects of neighborhood attributes on pedestrian satisfaction and classifies these attributes into frustrators, dissatisfiers, hybrids, satisfiers and delighters. By integrating attribute classification and their performance, we found that social interaction is an improvement priority for gated communities and that neighborhood space and street furniture could be enhanced given resource availability. For open communities, we recommend that planners improve outdoor facilities, canopy and shelter, and open space.
C1 [Dong, Wei; Dong, Yu] Harbin Inst Technol, Sch Architecture, Harbin, Heilongjiang, Peoples R China.
   [Dong, Wei; Dong, Yu] Minist Ind & Informat Technol, Key Lab Cold Reg Urban & Rural Human Settlement E, Harbin, Heilongjiang, Peoples R China.
   [Cao, Xinyu; Wu, Xinyi] Univ Minnesota Twin Cities, Humphrey Sch Publ Affairs, Minneapolis, MN 55455 USA.
C3 Harbin Institute of Technology; University of Minnesota System; University of Minnesota Twin Cities
RP Cao, XY (通讯作者)，Univ Minnesota Twin Cities, Humphrey Sch Publ Affairs, Minneapolis, MN 55455 USA.
EM cao@umn.edu
FU National Natural Science Foundation of China [51878204]
CR Albayrak T, 2015, TOURISM MANAGE, V46, P43, DOI 10.1016/j.tourman.2014.06.009
   Back KJ, 2015, J TRAVEL TOUR MARK, V32, P747, DOI 10.1080/10548408.2014.935905
   Blecic I, 2016, LECT NOTES COMPUT SC, V9789, P125, DOI 10.1007/978-3-319-42089-9_9
   Blecic I, 2015, INT J GEOGR INF SCI, V29, P1350, DOI 10.1080/13658816.2015.1026824
   Boarnet MG, 2011, ENVIRON BEHAV, V43, P735, DOI 10.1177/0013916510379760
   Brieman L, 1984, CLASSIFICATION AND REGRESSION TREES, V0, P0, DOI DOI 10.1201/9781315139470
   Busacca B, 2005, MARK INTELL PLAN, V23, P543, DOI 10.1108/02634500510624110
   Campbell A, 1976, QUALITY AM LIFE, V0, P0, DOI DOI 10.2307/257525
   Cao J, 2017, TRANSPORTATION, V0, P0
   Cao Jason, 2017, J TRANSP LAND USE, V10, P65
   Cao XY, 2018, J PLAN LIT, V33, P419, DOI 10.1177/0885412218765443
   Chung YS, 2013, ACCIDENT ANAL PREV, V61, P107, DOI 10.1016/j.aap.2012.08.015
   Clifton KJ, 2007, LANDSCAPE URBAN PLAN, V80, P95, DOI 10.1016/j.landurbplan.2006.06.008
   Death G, 2007, ECOLOGY, V88, P243, DOI 10.1890/0012-9658(2007)88[243:BTFEMA]2.0.CO;2
   Ding C, 2018, TRANSPORT RES A-POL, V118, P104, DOI 10.1016/j.tra.2018.08.041
   Ding C, 2018, TRANSPORT RES A-POL, V110, P107, DOI 10.1016/j.tra.2018.02.009
   Ding C, 2016, TRANSPORT RES C-EMER, V72, P225, DOI 10.1016/j.trc.2016.09.016
   Elith J, 2008, J ANIM ECOL, V77, P802, DOI 10.1111/j.1365-2656.2008.01390.x
   Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766
   Ewing R, 2009, J URBAN DES, V14, P65, DOI 10.1080/13574800802451155
   Finer N, 2006, MEDICINE, V34, P510, DOI 10.1053/j.mpmed.2006.09.016
   Forsyth A, 2008, J URBAN DES, V13, P1, DOI 10.1080/13574800701816896
   Frank LD, 2010, BRIT J SPORT MED, V44, P924, DOI 10.1136/bjsm.2009.058701
   Frank LD, 2005, AM J PREV MED, V28, P117, DOI 10.1016/j.amepre.2004.11.001
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1093/molbev/msy096
   Guirao B, 2016, TRANSPORT POLICY, V49, P68, DOI 10.1016/j.tranpol.2016.04.003
   Handy S, 2006, J AM PLANN ASSOC, V72, P55, DOI 10.1080/01944360608976724
   Hastie T, 2011, THE ELEMENTS OF STATISTICAL LEARNING: DATA MINING, V0, P0
   Humpel N, 2004, AM J PREV MED, V26, P119, DOI 10.1016/j.amepre.2003.10.005
   Huo W, 2017, WUHAN U J ARTS HUMAN, V70, P5
   Jensen SU, 2007, TRANSPORT RES REC, V0, PP43, DOI 10.3141/2031-06
   Kano N, 1984, J JAPANESE SOC QUALI, V14, P147, DOI 10.20684/QUALITY.14.2_147
   Kim S, 2014, TRANSPORT RES D-TR E, V30, P10, DOI 10.1016/j.trd.2014.05.005
   Lai IKW, 2017, TOURISM MANAGE, V60, P107, DOI 10.1016/j.tourman.2016.11.011
   Lee JS, 2013, INT J HOSP MANAG, V35, P282, DOI 10.1016/j.ijhm.2013.07.003
   Lee SW, 2008, LANDSCAPE URBAN PLAN, V85, P60, DOI 10.1016/j.landurbplan.2007.09.013
   Lefebvre-Ropars G, 2017, TRANSPORT RES D-TR E, V57, P378, DOI 10.1016/j.trd.2017.08.018
   [林雄斌 Lin Xiongbin], 2013, 地理科学进展 PROGRESS IN GEOGRAPHY, V32, P354
   Lund H, 2003, J AM PLANN ASSOC, V69, P414, DOI 10.1080/01944360308976328
   Mackett RL, 2003, TRANSPORTATION, V30, P329, DOI 10.1023/A:1023987812020
   Manaugh K, 2011, TRANSPORT RES D-TR E, V16, P309, DOI 10.1016/j.trd.2011.01.009
   Marshall WE, 2010, TRANSPORT RES REC, V0, PP103, DOI 10.3141/2198-12
   MARTILLA JA, 1977, J MARKETING, V41, P77, DOI 10.2307/1250495
   Matzler K, 2004, IND MARKET MANAG, V33, P271, DOI 10.1016/S0019-8501(03)00055-5
   Matzler K, 2003, SERV IND J, V23, P112, DOI 10.1080/02642060412331300912
   Matzler K, 2002, INT J SERV IND MANAG, V13, P314, DOI 10.1108/09564230210445078
   Mayne DJ, 2013, INT J HEALTH GEOGR, V12, P0, DOI 10.1186/1476-072X-12-61
   Mehrabian A, 1974, APPROACH ENV PSYCHOL, V12, P0
   Miao P, 2003, JOURNAL OF URBAN DESIGN, V8, P45, DOI 10.1080/1357480032000064764
   Mikulic J, 2008, MANAGING SERVICE QUALITY, V18, P559, DOI 10.1108/09604520810920068
   Moura F, 2017, LANDSCAPE URBAN PLAN, V157, P282, DOI 10.1016/j.landurbplan.2016.07.002
   Orstad SL, 2017, ENVIRON BEHAV, V49, P904, DOI 10.1177/0013916516670982
   Park Kyunghun, 2007, JOURNAL OF ENVIRONMENTAL SCIENCE INTERNATIONAL 한국환경과학회지, V16, P1231
   Peugh JL, 2004, REV EDUC RES, V74, P525, DOI 10.3102/00346543074004525
   Pucher J, 2000, TRANSPORT Q, V54, P25
   Saha D, 2015, ACCIDENT ANAL PREV, V79, P133, DOI 10.1016/j.aap.2015.03.011
   Schoner J, 2014, TRANSPORT RES REC, V0, PP67, DOI 10.3141/2464-09
   Wang WJ, 2012, J URBAN PLAN DEV, V138, P166, DOI 10.1061/(ASCE)UP.1943-5444.0000105
   Witlox F, 2013, J TRANSP LAND USE, V6, P0
   Wu XY, 2018, TRANSPORT RES A-POL, V113, P184, DOI 10.1016/j.tra.2018.04.003
   Yin JB, 2016, HABITAT INT, V53, P461, DOI 10.1016/j.habitatint.2015.12.013
   Youssoufi S, 2013, LANDSCAPE URBAN PLAN, V110, P12, DOI 10.1016/j.landurbplan.2012.09.005
   Zhang Chun, 2009, URBAN PLANNING INT, V24, P28
   Zhang CL, 2018, TECHNOL ANAL STRATEG, V30, P556, DOI 10.1080/09537325.2017.1340640
   Zhang YR, 2015, TRANSPORT RES C-EMER, V58, P308, DOI 10.1016/j.trc.2015.02.019
NR 65
TC 80
Z9 95
U1 10
U2 215
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0169-2046
EI 1872-6062
J9 LANDSCAPE URBAN PLAN
JI Landsc. Urban Plan.
PD MAY 15
PY 2019
VL 185
IS 
BP 246
EP 257
DI 10.1016/j.landurbplan.2019.02.012
PG 12
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public Administration; Urban Studies
GA HR4OI
UT WOS:000463125400024
DA 2026-05-02
ER

PT J
AU Gehrke, SR
   Clifton, KJ
AF Gehrke, Steven R.
   Clifton, Kelly J.
TI An activity-related land use mix construct and its connection to pedestrian travel
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Land use mix; built environment; smart growth; travel behavior; pedestrian models
ID built environment; physical-activity; urban form; tour complexity; self-selection; smart growth; walking; design; transportation; state
AB Integrating a diverse set of land use types within a neighborhood is a central tenet of smart growth policy. Over a generation of urban planning research has heralded the transportation, land use, and public health benefits arising from a balanced supply of local land uses, including the improved feasibility for pedestrian travel. However, land use mixing has largely remained a transportation-land use planning goal without a conceptually valid set of environmental indicators quantifying this multifaceted spatial phenomenon. In this study, we incorporated activity-based transportation planning and landscape ecology theory within a confirmatory factor analysis framework to introduce a land use mix construct indicative of the paired landscape pattern aspects of composition and configuration. We found that our activity-related land use mix measure, and not the commonly adopted entropy-based index, predicted walk mode choice and home-based walk trip frequency when operationalized at three geographic scales.
C1 [Gehrke, Steven R.; Clifton, Kelly J.] Portland State Univ, Dept Civil & Environm Engn, 1930 SW 4th Ave,POB 751, Portland, OR 97207 USA.
C3 Portland State University
RP Gehrke, SR (通讯作者)，Portland State Univ, Dept Civil & Environm Engn, 1930 SW 4th Ave,POB 751, Portland, OR 97207 USA.
EM sgehrke@pdx.edu
FU National Institute for Transportation and Communities
CR Boarnet MG, 2011, J AM PLANN ASSOC, V77, P197, DOI 10.1080/01944363.2011.593483
   Boarnet MG, 2011, URBAN STUD, V48, P129, DOI 10.1177/0042098010364859
   Boer R, 2007, AM J PREV MED, V32, P298, DOI 10.1016/j.amepre.2006.12.012
   Brown BB, 2009, HEALTH PLACE, V15, P1130, DOI 10.1016/j.healthplace.2009.06.008
   Brown TA, 2015, CONFIRMATORY FACTOR ANALYSIS FOR APPLIED RESEARCH, V2nd, P0
   Brownson RC, 2009, AM J PREV MED, V36, PS99, DOI 10.1016/j.amepre.2009.01.005
   Cao XY, 2006, TRANSPORTATION, V33, P1, DOI 10.1007/s11116-005-7027-2
   Cervero R, 1996, TRANSPORT RES A-POL, V30, P361, DOI 10.1016/0965-8564(95)00033-X
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Cervero R, 2003, AM J PUBLIC HEALTH, V93, P1478, DOI 10.2105/AJPH.93.9.1478
   Cervero R, 1989, J PLAN EDUC RES, V8, P75, DOI 10.1177/0739456X8900800203
   Christian HE, 2011, INT J BEHAV NUTR PHY, V8, P0, DOI 10.1186/1479-5868-8-55
   Clifton K, 2008, JOURNAL OF URBANISM: INTERNATIONAL RESEARCH ON PLACEMAKING AND URBAN SUSTAINABILITY, V1, P17, DOI 10.1080/17549170801903496
   Downs A, 2005, J AM PLANN ASSOC, V71, P367, DOI 10.1080/01944360508976707
   Duncan MJ, 2010, J URBAN HEALTH, V87, P782, DOI 10.1007/s11524-010-9488-7
   Ewing R, 2001, TRANSPORT RES REC, V0, PP87, DOI 10.3141/1780-10
   Ewing R, 2015, URBAN STUD, V52, P2330, DOI 10.1177/0042098014560991
   Forsyth A, 2008, URBAN STUD, V45, P1973, DOI 10.1177/0042098008093386
   Frank L, 1994, TRANSPN RES REC, V1466, P44
   Frank L, 2008, TRANSPORTATION, V35, P37, DOI 10.1007/s11116-007-9136-6
   Frank L, 2007, AM J HEALTH PROMOT, V21, P305, DOI 10.4278/0890-1171-21.4s.305
   Frank LD, 2004, AM J PREV MED, V27, P87, DOI 10.1016/j.amepre.2004.04.011
   Frank LD, 2000, J PLAN EDUC RES, V20, P6, DOI 10.1177/073945600128992564
   Gehrke SR, 2016, J TRANSP LAND USE, V9, P171, DOI 10.5198/jtlu.2015.725
   Grant J, 2002, J AM PLANN ASSOC, V68, P71, DOI 10.1080/01944360208977192
   Gustafson EJ, 1998, ECOSYSTEMS, V1, P143, DOI 10.1007/s100219900011
   Handy S, 2006, J AM PLANN ASSOC, V72, P55, DOI 10.1080/01944360608976724
   Handy S, 2005, INT REGIONAL SCI REV, V28, P146, DOI 10.1177/0160017604273626
   Handy SL, 2002, AM J PREV MED, V23, P64, DOI 10.1016/S0749-3797(02)00475-0
   Handy SL, 2001, TRANSPORTATION, V28, P317, DOI 10.1023/A:1011850618753
   Handy Susan, 1993, TRANSPORTATION RESEARCH RECORD, V1400, P58
   Hess PM, 2001, TRANSPORT RES REC, V0, P17
   Hoehner CM, 2005, AM J PREV MED, V28, P105, DOI 10.1016/j.amepre.2004.10.023
   Kerr J, 2007, TRANSPORT RES D-TR E, V12, P177, DOI 10.1016/j.trd.2007.01.006
   Kockelman KM, 1997, TRANSPORTATION RES R, V1607, P116, DOI 10.3141/1607-16
   Krizek KJ, 2006, J AM PLANN ASSOC, V72, P33, DOI 10.1080/01944360608976722
   Kwan MP, 2008, APPL GEOGR, V28, P110, DOI 10.1016/j.apgeog.2007.07.002
   Lee Chanam, 2006, J PHYS ACT HEALTH, V3, PS77, DOI 10.1123/jpah.3.s1.s77
   Leitao AB, 2006, MEASURING LANDSCAPES, V0, P0
   LI HB, 1994, ECOLOGY, V75, P2446, DOI 10.2307/1940898
   Maat K, 2006, TRANSPORT RES REC, V0, PP234, DOI 10.3141/1977-29
   Manaugh K, 2013, J TRANSP LAND USE, V6, P63, DOI 10.5198/jtlu.v6i1.291
   McConville ME, 2011, AM J PREV MED, V40, P25, DOI 10.1016/j.amepre.2010.09.023
   MCGARIGAL K, 1995, ECOL MONOGR, V65, P235, DOI 10.2307/2937059
   Nagel CL, 2008, AM J EPIDEMIOL, V168, P461, DOI 10.1093/aje/kwn158
   ONeill RV, 1988, LANDSCAPE ECOL, V1, P153, DOI 10.1007/BF00162741
   Rajamani J, 2003, TRANSPORT RES REC, V0, PP158, DOI 10.3141/1831-18
   Reilly Michael, 2003, INFLUENCE BUILT FORM, V0, P0
   Rodríguez DA, 2009, AM J PREV MED, V37, P397, DOI 10.1016/j.amepre.2009.07.008
   Saelens BE, 2003, ANN BEHAV MED, V25, P80, DOI 10.1207/S15324796ABM2502_03
   Saelens BE, 2008, MED SCI SPORT EXER, V40, PS550, DOI 10.1249/MSS.0b013e31817c67a4
   Shannon C, 1949, MATH STUDY COMMUNICA, V0, P0
   Shay E, 2006, TRANSPORT RES REC, V0, PP154, DOI 10.3141/1985-17
   Song Y, 2005, CAROLINA TRANSPORTATION PROGRAM WHITE PAPER SERIES, V0, P0
   Song Y, 2013, COMPUT ENVIRON URBAN, V42, P1, DOI 10.1016/j.compenvurbsys.2013.08.001
   Turner MG, 2005, ANNU REV ECOL EVOL S, V36, P319, DOI 10.1146/annurev.ecolsys.36.102003.152614
   Wineman JD, 2014, J PLAN EDUC RES, V34, P180, DOI 10.1177/0739456X14531829
   Zhang M, 2005, TRANSPORT RES REC, V0, PP71, DOI 10.3141/1902-09
NR 58
TC 17
Z9 21
U1 3
U2 54
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 JAN 15
PY 2019
VL 46
IS 1
BP 9
EP 26
DI 10.1177/2399808317690157
PG 18
WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies
GA HM2TS
UT WOS:000459323500003
DA 2026-05-02
ER

PT J
AU Boakye-Dankwa, E
   Nathan, A
   Barnett, A
   Busija, L
   Lee, RSY
   Pachana, N
   Turrell, G
   Cerin, E
AF Boakye-Dankwa, Ernest
   Nathan, Andrea
   Barnett, Anthony
   Busija, Lucy
   Lee, Ruby S. Y.
   Pachana, Nancy
   Turrell, Gavin
   Cerin, Ester
TI Walking behaviour and patterns of perceived access to neighbourhood destinations in older adults from a low-density (Brisbane, Australia) and an ultra-dense city (Hong Kong, China)
SO CITIES
LA English
DT Article
DE Transport and recreation walking; Distance to destinations; Latent class analysis; Between-city differences
ID physical-activity; environment; validity; distance; transportation; disadvantage; reliability; number; health; scale
AB Introduction: Hong Kong older adults have been found to accumulate high levels of walking compared to their Westerns counterparts living in low-density cities. These differences in walking could be attributed to differences in destination accessibility. However, between-city differences in older adults' walking and perceived destination accessibility have not been quantified. This study examined differences in walking and patterns of perceived destination accessibility within 5-, 10-, and 20-minute walk from home between older adults aged >= 65 years in Brisbane and Hong Kong. Methods: We used data from epidemiological studies conducted in Brisbane (n = 793) and Hong Kong (n = 484) using comparable measures of perceived distance to 12 destinations and weekly minutes of walking for transport and recreation. Regression models accounting for neighbourhood-level clustering were used to estimate between-city differences in walking and access to specific destinations. Latent class analyses were used to identify city-specific patterns of destination accessibility. Results: Hong Kong older adults accumulated significantly more minutes of walking than their Brisbane counterparts and also reported higher accessibility to most destinations. The between-city differences in percentage of older adults with access to a diversity of destinations were particularly large for shorter distances (5- and 10-minute walk from home). Conclusion: Low-density cities should provide ageing-friendly housing in the city centre with high levels of accessibility to relevant destinations and/or promote the implementation of urban planning policies that support the development of mixed land use and higher levels of residential density.
C1 [Boakye-Dankwa, Ernest; Nathan, Andrea; Barnett, Anthony; Cerin, Ester] Australian Catholic Univ, Mary MacKillop Inst Hlth Res, Level 5,215 Spring St, Melbourne, Vic 3000, Australia.
   [Busija, Lucy] Australian Catholic Univ, Inst Hlth & Ageing, Melbourne, Vic, Australia.
   [Lee, Ruby S. Y.] Govt Hong Kong SAR, Dept Hlth, Elderly Hlth Serv, Hong Kong, Peoples R China.
   [Pachana, Nancy] Univ Queensland, Sch Psychol, Fac Hlth & Behav Sci, Brisbane, Qld, Australia.
   [Turrell, Gavin] Queensland Univ Technol, Sch Publ Hlth & Social Work, Brisbane, Qld, Australia.
   [Cerin, Ester] Univ Hong Kong, Sch Publ Hlth, Hong Kong, Peoples R China.
   [Cerin, Ester] Baker IDI Heart & Diabet Inst, Melbourne, Vic, Australia.
C3 Australian Catholic University; Australian Catholic University; University of Queensland; Queensland University of Technology (QUT); University of Hong Kong; Baker Heart and Diabetes Institute
RP Cerin, E (通讯作者)，Australian Catholic Univ, Mary MacKillop Inst Hlth Res, Level 5,215 Spring St, Melbourne, Vic 3000, Australia.
EM emest.boakyedankwa@myacu.edu.au; Andrea.Nathan@acu.edu.au; Anthony.Barnett@acu.edu.au; Lucy.Busija@acu.edu.au; ruby_sy_lee@dh.gov.hk; n.pachana@psy.uq.edu.au; g.turrell@qut.edu.au; Ester.Cerin@acu.edu.au
FU Australian Research Council [140100085]; Health and Health Service Research Fund (Food and Health Bureau, Government of the Hong Kong SAR, PR of China) [04060671]; Australian National Health and Medical Research Council (NHMRC) [APP1047453, APP497236, APP339718]
CR Adams MA, 2014, INT J HEALTH GEOGR, V13, P0, DOI 10.1186/1476-072X-13-43
   Adams MA, 2013, INT J BEHAV NUTR PHY, V10, P0, DOI 10.1186/1479-5868-10-34
   Adams MA, 2012, AM J HEALTH BEHAV, V36, P757, DOI 10.5993/AJHB.36.6.4
   Adams MA, 2011, PREV MED, V52, P326, DOI 10.1016/j.ypmed.2011.02.020
   Unknown -, 2004, TRANS SERV GUID PUBL, V0, P0
   Unknown -, 2016, HONG KONG: THE FACTS, V0, P0
   Unknown -, 2005, COMMITTEE ON PHYSICAL ACTIVITY, V0, P0
   Unknown -, 2014, POPULATION BY AGE AND SEX, V0, P0
   Asher L, 2012, AGE AGEING, V41, P690, DOI 10.1093/ageing/afs076
   Asparouhov T, 2014, VARIABLE SPECIFIC EN, V0, P0
   Asparouhov T, 2014, STRUCT EQU MODELING, V21, P329, DOI 10.1080/10705511.2014.915181
   Australian Bureau of Statistics, 2014, REG POP GROWTH QUEEN, V0, P0
   Australian Bureau of Statistics, 2015, GREAT BRISB BCCSA 3G, V0, P0
   Australian Bureau of Statistics, 2013, SOC IND AR SEIFA 201, V0, P0
   Barnett A, 2015, J AGING PHYS ACTIV, V23, P144, DOI 10.1123/japa.2013-0026
   Barnett DW, 2017, INT J BEHAV NUTR PHY, V14, P0, DOI 10.1186/s12966-017-0558-z
   Bauman AE, 2012, LANCET, V380, P258, DOI 10.1016/S0140-6736(12)60735-1
   Boisjoly G, 2017, J TRANSP GEOGR, V64, P33, DOI 10.1016/j.jtrangeo.2017.08.006
   Brisbane City Council, 2014, CITY PLAN, V0, P0
   Buchman AS, 2007, EXPT AGING RES, V33, P0
   Burton NW, 2009, BMC PUBLIC HEALTH, V9, P0, DOI 10.1186/1471-2458-9-76
   Cerin E, 2006, MED SCI SPORT EXER, V38, P1682, DOI 10.1249/01.mss.0000227639.83607.4d
   Cerin E, 2017, INT J BEHAV NUTR PHY, V14, P0, DOI 10.1186/s12966-017-0471-5
   Cerin E, 2014, PUBLIC HEALTH NUTR, V17, P225, DOI 10.1017/S1368980012003862
   Cerin E, 2013, J AGING HEALTH, V25, P1425, DOI 10.1177/0898264313510034
   Cerin E, 2013, BMC PUBLIC HEALTH, V13, P0, DOI 10.1186/1471-2458-13-309
   Cerin E, 2013, J URBAN HEALTH, V90, P56, DOI 10.1007/s11524-012-9704-8
   Cerin E, 2012, J AGING PHYS ACTIV, V20, P402, DOI 10.1123/japa.20.4.402
   Cerin E, 2010, INT J BEHAV NUTR PHY, V7, P0, DOI 10.1186/1479-5868-7-84
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Christiansen LB, 2016, J TRANSP HEALTH, V3, P467, DOI 10.1016/j.jth.2016.02.010
   Civil Engineering and Development Department Hong Kong Special Administrative Region, 2016, HONG KONG FACTS NEW, V0, P0
   Collins L, 2009, LATENT CLASS AND LATENT TRANSITION ANALYSIS: WITH APPLICATIONS IN THE SOCIAL, V0, P0
   Collins PA, 2015, J PHYS ACT HEALTH, V12, PS76, DOI 10.1123/jpah.2012-0320
   Department of Transport and Main Roads, 2015, TRANSL DIV PUBL TRAN, V0, P0
   Ding D, 2014, J AGING PHYS ACTIV, V22, P421, DOI 10.1123/japa.2012-0332
   Frank LawrenceD, 2003, HLTH COMMUNITY DESIG, V0, P0
   Grant TL, 2010, BMC PUBLIC HEALTH, V10, P0, DOI 10.1186/1471-2458-10-677
   Gray-Donald K, 2010, J GERONTOLOGY B S1, V66, P0
   Hess D, 2003, TRANSPORT RES REC, V1805, P5
   Horning J, 2008, 87 M TRANSP RES BOAR, V0, P0
   Johnston JM, 2013, INT J BEHAV NUTR PHY, V10, P1
   Kang YS, 2003, J CONSUM RES, V30, P420, DOI 10.1086/378618
   Kankaras M, 2010, CROSS CULTURAL ANAL, V0, P359
   Krizek K, 2009, ACCESS TO DESTINATIONS: APPLICATION OF ACCESSIBILITY MEASURES FOR NON-AUTO TRAVEL MODES, V0, P0
   Lanza Stephanie T, 2013, PREV SCI, V14, P157, DOI 10.1007/s11121-011-0201-1
   Lo YT, 2001, BIOMETRIKA, V88, P767, DOI 10.1093/biomet/88.3.767
   Macfarlane D, 2011, PUBLIC HEALTH NUTR, V14, P443, DOI 10.1017/S1368980010002806
   Masyn Masyn K EK E, 2013, THE OXFORD HANDBOOK OF QUANTITATIVE METHODS: VOL. 2. STATISTICAL ANALYSIS, V0, PP551, DOI 10.1093/oxfordhb/9780199934898.013.0025
   McCutcheon Allan L, 1997, APPLICATIONS OF LATENT TRAIT AND LATENT CLASS MODELS IN THE SOCIAL SCIENCES, V0, P266
   Muthen LK, 1998, MPLUS USERS GUIDE, VSixth, P0
   Nagin DS, 2005, GROUP BASED MODELING, V0, P0, DOI DOI 10.4159/9780674041318
   Nathan A, 2012, INT J BEHAV NUTR PHY, V9, P0, DOI 10.1186/1479-5868-9-133
   Nylund KL, 2007, STRUCT EQU MODELING, V14, P535, DOI 10.1080/10705510701575396
   Rachele JN, 2017, J TRANSP HEALTH, V7, P256, DOI 10.1016/j.jth.2017.09.002
   Research Office of Legislative Council Secretariat, 2015, SOC MOB HONG KONG, V0, P0
   Saelens BE, 2003, AM J PUBLIC HEALTH, V93, P1552, DOI 10.2105/AJPH.93.9.1552
   Sallis JF, 2016, LANCET, V387, P2207, DOI 10.1016/S0140-6736(15)01284-2
   Sallis JE, 2006, ANNU REV PUBL HEALTH, V27, P297, DOI 10.1146/annurev.publhealth.27.021405.102100
   Samuelsen KM, 2010, REV GUIDE QUANTITATI, V0, P0
   Satariano WA, 2012, AM J PUBLIC HEALTH, V102, P1508, DOI 10.2105/AJPH.2011.300631
   The Government of Hong Kong, 2017, NUMB PRIV CARS PER 1, V0, P0
   Turrell G, 2010, ANN EPIDEMIOL, V20, P171, DOI 10.1016/j.annepidem.2009.11.004
   Van Cauwenberg J, 2018, SPORTS MED, V48, P1635, DOI 10.1007/s40279-018-0917-1
   Watson KB, 2015, J PHYS ACT HEALTH, V12, PS53, DOI 10.1123/jpah.2014-0062
   World Economic Forum, 2012, GLOB AG COUNC AG SOC, V0, P0
   Yang Y, 2012, AM J PREV MED, V43, P11, DOI 10.1016/j.amepre.2012.03.015
NR 68
TC 49
Z9 56
U1 3
U2 102
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 15
PY 2019
VL 84
IS 
BP 23
EP 33
DI 10.1016/j.cities.2018.07.002
PG 11
WC Urban Studies
SC Urban Studies
GA HE7LE
UT WOS:000453618000003
DA 2026-05-02
ER

PT J
AU Moyano, A
   Coronado, JM
   Ruiz, R
   Romero, V
AF Moyano, Amparo
   Coronado, Jose M.
   Ruiz, Rita
   Romero, Vicente
TI Station avenue: high-speed rail's missing link. Assessing pedestrian city-station routes for edge stations in Spanish small cities
SO JOURNAL OF HOUSING AND THE BUILT ENVIRONMENT
LA English
DT Article
DE Access to stations; Pedestrian routes; Urban design quality; High-speed rail edge stations
ID walking; accessibility; environment; transport; level; node
AB High-speed rail edge stations, which are located within the urban fabric limits of a city, have generally a good access through motorised transportation modes while the pedestrian/bicycle access becomes, in many cases, very difficult. This paper assesses the quality of pedestrian routes linking high-speed rail edge stations to the city centre, considering physical aspects such as footpaths width, characteristics of the built environment or detours at street crossings. The assessment demonstrates that a pedestrian route could be redesigned to minimise discontinuities and to improve walkability, extending the walkable distance threshold through an adequate design. The proposed methods could provide a useful tool for cities to identify the most appropriate footpath to create convenient and legible pedestrian routes with walkable promenades for edge stations, because, in general, there are no specific strategies or policies to favour these walkable connections. In many cases, these edge stations are hidden city gates and the station-city pedestrian connection is the missing link in this intermodal transport chain.
C1 [Moyano, Amparo; Coronado, Jose M.; Ruiz, Rita; Romero, Vicente] Univ Castilla La Mancha, Dept Civil Engn, Ave Camilo Jose Cela S-N, E-13071 Ciudad Real, Spain.
C3 Universidad de Castilla-La Mancha
RP Moyano, A (通讯作者)，Univ Castilla La Mancha, Dept Civil Engn, Ave Camilo Jose Cela S-N, E-13071 Ciudad Real, Spain.
EM amparo.moyano@uclm.es; josemaria.coronado@uclm.es; rita.ruiz@uclm.es; vicente.romeroavila@uclm.es
FU Spanish Ministry of Education ("Programa FPU del Ministerio de Educacion, Cultura y Deporte"); Ministry of Economy, Industry and Competitiveness [CSO2015-63815-R]
CR Abad B, 2008, ESTUDIOS DE CONSTRUCCION Y TRANSPORTES, V108, P111
   Asadi-Shekari Z, 2014, LAND USE POLICY, V38, P175, DOI 10.1016/j.landusepol.2013.11.007
   Bellet C, 2012, TRANS MOBIL SER, V0, P163
   Bertolini L, 2012, BUILT ENVIRONMENT, V38, P31, DOI 10.2148/BENV.38.1.31
   Brownson RC, 2009, AM J PREV MED, V36, PS99, DOI 10.1016/j.amepre.2009.01.005
   García-Palomares JC, 2018, B ASOC GEOGR ESP, V0, PP102, DOI 10.21138/bage.2517
   Cervero R, 2009, INT J SUSTAIN TRANSP, V3, P203, DOI 10.1080/15568310802178314
   Clemente O, 2005, MEASURING URBAN DESI, V0, P0
   Crane R, 1998, TRANSPORT RES D-TR E, V3, P225, DOI 10.1016/S1361-9209(98)00001-7
   de Ureña JM, 2012, TRANS MOBIL SER, V0, P129
   Dixon LB, 1996, TRANSPORT RES REC, V0, PP1, DOI 10.1177/0361198196153800101
   Ewing Reid, 2006, J PHYS ACT HEALTH, V3, PS223, DOI 10.1123/jpah.3.s1.s223
   Facchinetti-Mannone Valerie, 2009, LOCATION OF HIGH SPEED RAIL STATIONS IN FRENCH MEDIUM-SIZE CITIES AND THEIR MOBILITY AND TERRITORIAL IMPLICATIONS, V0, P0
   FRUIN JJ, 1971, DESIGNING FOR PEDESTRIANS: A LEVEL-OF-SERVICE CONCEPT. HIGHWAY RESEARCH RECORD, V0, P0, DOI DOI 10.1016/J.ASCOM.2016.03.003
   Gehl J, 2002, PUBLIC SPACES PUBLIC LIFE STUDIES, V0, P0
   Gehl Jan, 1987, LIFE BETWEEN BUILDINGS: USING PUBLIC SPACE, V0, P0
   Givoni M, 2007, TRANSPORT POLICY, V14, P357, DOI 10.1016/j.tranpol.2007.04.004
   Hillier B, 1996, URBAN DES INT, V1, P41, DOI 10.1057/udi.1996.5
   Jacobs AllanB, 1993, GREAT STREETS, V1, P0
   Keijer MJN, 2000, TRANSPORT PLAN TECHN, V23, P215, DOI 10.1080/03081060008717650
   Kelly CE, 2011, J TRANSP GEOGR, V19, P1500, DOI 10.1016/j.jtrangeo.2010.08.001
   Landis BW, 2001, TRANSPORT RES REC, V0, PP82, DOI 10.3141/1773-10
   Loukaitou-Sideris A, 2012, BUILT ENVIRONMENT, V38, P51, DOI 10.2148/BENV.38.1.51
   Lyu G, 2016, J TRANSP GEOGR, V55, P40, DOI 10.1016/j.jtrangeo.2016.07.002
   Reusser DE, 2008, J TRANSP GEOGR, V16, P191, DOI 10.1016/j.jtrangeo.2007.05.004
   Rietveld P, 2000, TRANSPORT RES D-TR E, V5, P71, DOI 10.1016/S1361-9209(99)00019-X
   Santos L, 2007, URBANISMO Y FERROCARRIL. LA CONSTRUCCION DEL ESPACIO FERROVIARIO EN LAS CIUDADES MEDIAS ESPANOLAS, V0, P0
   Southworth M, 2005, J URBAN PLAN DEV, V131, P246, DOI 10.1061/(ASCE)0733-9488(2005)131:4(246)
   Talavera-Garcia R, 2015, CITIES, V45, P7, DOI 10.1016/j.cities.2015.03.003
   Vale DS, 2015, J TRANSP GEOGR, V45, P70, DOI 10.1016/j.jtrangeo.2015.04.009
   Zacharias J, 2001, J PLAN LIT, V16, P3, DOI 10.1177/08854120122093249
NR 43
TC 11
Z9 12
U1 1
U2 25
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1566-4910
EI 1573-7772
J9 J HOUS BUILT ENVIRON
JI J. Hous. Built Environ.
PD MAR 15
PY 2019
VL 34
IS 1
BP 175
EP 193
DI 10.1007/s10901-018-9621-6
PG 19
WC Environmental Studies; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Public Administration; Urban Studies
GA HN1KJ
UT WOS:000459945600009
DA 2026-05-02
ER

PT J
AU Khalid, NS
   Othman, RNR
   Abdullah, IC
   Marzukhi, MA
   Nasrudin, N
AF Khalid, N. S.
   Othman, R. N. Raja
   Abdullah, I. Che
   Marzukhi, M. A.
   Nasrudin, N.
TI The Regaining of Traditional Street: Combining Street Network Configuration with Temporary Urban Interventions
SO 4TH INTERNATIONAL CONFERENCE ON RESEARCH METHODOLOGY FOR BUILT ENVIRONMENT AND ENGINEERING 2019
LA English
DT Proceedings Paper
ID space
AB Observations and Axial analysis models are combined into Space Syntax to study the corresponding relationship between a street network and how temporary urban interventions in a traditional shopping street in Little India, Kuala Lumpur, may affect public life. Little India was chosen as the case study because of its historical and cultural significance. The study aims to explore the most important temporary urban interventions - activity-based interventions in traditional shopping street through the spatial logic of street network. Static snapshots and people-following were conducted in Little India, to observe activity and movement during a whole day on a weekday and a weekend day. Two (2) parameters in Space Syntax were chosen including global integration and local integration to measure its urban interventions, activities, and movement among visitors in traditional shopping streets. The result indicates that there is a certain correlation among these parameters with the following spatial configurative analyses; all lines analyses and segment based angular analyses. It finds significant relationships between global integration and local integration, and the activity pattern. It is proposed in this paper that streets with a high degree of integration and adjacent to main streets; Jalan Tun Sambanthan is a key factor for carrying forward temporary urban interventions in Little India. More attention should be paid to the street network to preserve diversity, make the streets active, and importantly to improve public life.
C1 [Khalid, N. S.; Othman, R. N. Raja; Abdullah, I. Che; Marzukhi, M. A.; Nasrudin, N.] Univ Teknol MARA, Fac Architecture Planning & Surveying, Ctr Ekist & Human Settlement, Puncak Alam 42300, Selangor, Malaysia.
C3 Universiti Teknologi MARA
RP Khalid, NS (通讯作者)，Univ Teknol MARA, Fac Architecture Planning & Surveying, Ctr Ekist & Human Settlement, Puncak Alam 42300, Selangor, Malaysia.
EM shakilakhalid@salam.uitm.edu.my
FU Universiti Teknologi MARA [600-IRMI 5/3/Lestari (040-2018)]; Institute of Research Centre under the Lestari grant [600-IRMI 5/3/Lestari (040-2018)]
CR Bafna S, 2003, ENVIRON BEHAV, V35, P17, DOI 10.1177/0013916502238863
   Goodsell CT, 2003, AM REV PUBLIC ADM, V33, P361, DOI 10.1177/0275074003254469
   Hillier B, 2007, SPACE IS MACHINE CON, V0, P0
   Hillier B, 1998, ENVIRON PLANN B, V25, P25
   Madanipour A, 2017, THE GOVERNANCE OF PLACE: SPACE AND PLANNING PROCESSES, V0, P0
   Mehta V, 2014, STREET, V0, P0
   Sivam Alpana, 2013, THE ROLE OF STREETS WITHIN PLACEMAKING IN CROSS - CULTURAL CONTEXTS: CASE STUDIES FROM ADELAIDE, V0, P0
   To K, 2017, J URBAN DES, V22, P637, DOI 10.1080/13574809.2017.1281734
   Ujang N, 2014, ARCHNET-IJAR, V8, P66
   Zukin S, 1998, URBAN STUD, V35, P825, DOI 10.1080/0042098984574
NR 11
TC 1
Z9 1
U1 0
U2 5
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1755-1307
EI 
J9 IOP C SER EARTH ENV
JI IOP Conf. Ser. Earth Envir. Sci.
PD JUN 15
PY 2019
VL 385
IS 
BP 
EP 
DI 10.1088/1755-1315/385/1/012019
PG 11
WC Construction & Building Technology; Environmental Sciences; Environmental Studies; Urban Studies
SC Construction & Building Technology; Environmental Sciences & Ecology; Urban Studies
GA BP5ZF
UT WOS:000558674000019
DA 2026-05-02
ER

PT J
AU Orellana, D
   Guerrero, ML
AF Orellana, Daniel
   Guerrero, Maria L.
TI Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Urban morphology; Big Data; cycling movement; Space Syntax; OpenStreetMap
ID travel behavior; latin-america; built environment; space syntax; route choice; big data; bicycle; model; impact; ridership
AB This study explores the effect of the spatial configuration of street networks on movement patterns of users of a cycling monitoring app, employing crowdsourced information from OpenStreetMap and Strava Metro. Choice and Integration measures from Space Syntax were used to analyse the street network's configuration for different radiuses. Multiple linear regression models were fitted to explore the influence of these measures on cycling activity at the street segment level after controlling other variables such as land use, household density, socio-economic status, and cycling infrastructure. The variation of such influence for different time periods (weekday vs. weekend) and trip purposes (commuting vs. sports) was also analysed. The results show a positive significant association between normalised angular choice (NACH) and cycling activity. Although the final regression model explained 5.5% of the log-likelihood of the intercept model, it represents an important improvement compared with the base (control-only) model (3.8%). The incidence rate ratio of NACH's Z scores was 1.63, implying that for an increase of one standard deviation of NACH, there is an expected increment of about 63% in the total cyclist counts while keeping all other variables the same. These results are of interest for researchers, practitioners, and urban planners, since the inclusion of Space Syntax measures derived from available public data can improve movement behaviour modelling and cycling infrastructure planning and design.
C1 [Orellana, Daniel] Univ Cuenca, Agron Fac, Cuenca, Ecuador.
   [Guerrero, Maria L.] Univ Cuenca, Av 12 Abril & Av Loja, Cuenca, Ecuador.
C3 Universidad de Cuenca; Universidad de Cuenca
RP Orellana, D (通讯作者)，Univ Cuenca, Av 12 Abril & Av Loja, Cuenca, Ecuador.
EM daniel.orellana@ucuenca.edu.ec
FU Direccion de Investigacion de la Universidad de Cuenca DIUC
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Al-Sayed K, 2014, SPACE SYNTAX METHODO, V4th, P0, DOI 1415080/1/AL-SAYED_SPACESYNTAX-MANUAL_2018.PDF
   Unknown -, 2016, R: A LANGUAGE AND ENVIRONMENT FOR STATISTICAL COMPUTING, V0, P0
   Unknown -, 2017, P 11 SPAC SYNT S, V0, P0
   Unknown -, 2007, SPACE IS MACHINE, V0, P0
   Arsanjani JJ, 2015, LECT NOTES GEOINF CA, V0, PP1, DOI 10.1007/978-3-319-14280-7_1
   Batty M, 2012, ENVIRON PLANN B, V39, P191, DOI 10.1068/b3902ed
   Birch CPD, 2007, ECOL MODEL, V206, P347, DOI 10.1016/j.ecolmodel.2007.03.041
   Chang HL, 2009, ENVIRON PLANN B, V36, P319, DOI 10.1068/b34030
   Chen C, 2016, TRANSPORT RES C-EMER, V68, P285, DOI 10.1016/j.trc.2016.04.005
   Chiaradia A, 2009, P 7 INT SPAC SYNT S, V0, P0
   Fagnant DJ, 2016, ENVIRON PLANN B, V43, P93, DOI 10.1177/0265813515602568
   Guerra E, 2018, TRANSPORT POLICY, V69, P98, DOI 10.1016/j.tranpol.2018.06.001
   Heesch KC, 2016, HEALTH PROMOT J AUST, V27, P222, DOI 10.1071/HE16032
   Heinen E, 2010, TRANSPORT REV, V30, P59, DOI 10.1080/01441640903187001
   Hermida C, 2019, INT J SUSTAIN TRANSP, V13, P777, DOI 10.1080/15568318.2018.1514445
   Hillier B, 2005, LECT NOTES COMPUT SC, V3693, P475
   Hillier Bill, 1988, THE SOCIAL LOGIC OF SPACE, V0, P0
   Hoehner CM, 2008, AM J PREV MED, V34, P224, DOI 10.1016/j.amepre.2007.11.016
   Jestico B, 2016, J TRANSP GEOGR, V52, P90, DOI 10.1016/j.jtrangeo.2016.03.006
   KASS RE, 1995, J AM STAT ASSOC, V90, P773, DOI 10.1080/01621459.1995.10476572
   Kitchin R, 2014, BIG DATA SOC, V1, P0, DOI 10.1177/2053951714528481
   Kolovou I, 2017, P 11 INT SPACE SYNTA, V11, P163
   Krenn P, 2015, OPEN JOURNAL OF CIVIL ENGINEERING, V5, P451, DOI 10.4236/ojce.2015.54045
   Law S, 2014, BEHAV SCI-BASEL, V4, P278, DOI 10.3390/bs4030278
   Lovelace R, 2017, J TRANSP LAND USE, V10, P505, DOI 10.5198/jtlu.2016.862
   Ma R, 2018, P 21 INT S ADVANCEME, V0, PP365, DOI 10.1007/978-981-10-6190-5
   Mueller N, 2018, PREV MED, V109, P62, DOI 10.1016/j.ypmed.2017.12.011
   Musakwa W, 2016, DATA BRIEF, V9, P898, DOI 10.1016/j.dib.2016.11.002
   Orellana D, 2014, ANALITIKA, V0, P0
   Parkin J, 2008, TRANSPORTATION, V35, P93, DOI 10.1007/s11116-007-9137-5
   Rae A, 2015, REG STUD REG SCI, V2, P1, DOI 10.1080/21681376.2014.990678
   Raford N, 2007, SPACE SYNTAX ROLE UR, V0, P0
   Rodríguez DA, 2009, TRANSPORT RES D-TR E, V14, P470, DOI 10.1016/j.trd.2009.06.001
   Roy A, 2019, URBAN SCI, V3, P0, DOI 10.3390/urbansci3020062
   Rybarczyk G, 2014, ENVIRON PLANN B, V41, P272, DOI 10.1068/b37133
   Sadarangani KP, 2018, PREV MED, V107, P8, DOI 10.1016/j.ypmed.2017.12.005
   Saelens BE, 2003, ANN BEHAV MED, V25, P80, DOI 10.1207/S15324796ABM2502_03
   Shannon CE, 1964, MATH THEORY COMMUNIC, V0, P0
   Sun YR, 2017, INT J ENV RES PUB HE, V14, P0, DOI 10.3390/ijerph14030274
   Tao S, 2014, APPL GEOGR, V53, P90, DOI 10.1016/j.apgeog.2014.06.008
   Turner A, 2007, ENVIRON PLANN B, V34, P539, DOI 10.1068/b32067
   VUONG QH, 1989, ECONOMETRICA, V57, P307, DOI 10.2307/1912557
   Winters M, 2013, ENVIRON PLANN B, V40, P865, DOI 10.1068/b38185
   Yeboah G, 2015, LECT NOTES GEOINF CA, V0, PP189, DOI 10.1007/978-3-319-14280-7_10
   Yeboah G, 2015, GEOTECH ENVIRON, V13, P185, DOI 10.1007/978-3-319-11469-9_8
   Zhou XG, 2018, ENVIRON PLAN B-URBAN, V45, P434, DOI 10.1177/2399808317707967
   Zieff SG, 2018, J URBAN HEALTH, V95, P899, DOI 10.1007/s11524-018-0262-6
   Zwilling Michael L, 2013, MATHEMATICA JOURNAL, V15, P0, DOI 10.3888/tmj.15-6
NR 56
TC 39
Z9 44
U1 2
U2 82
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 15
PY 2019
VL 46
IS 7
BP 1314
EP 1330
DI 10.1177/2399808319863810
PG 17
WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies
GA IS3MP
UT WOS:000482057700008
DA 2026-05-02
ER

PT J
AU Coutts, C
   Wenger, R
   Duncan, M
AF Coutts, Christopher
   Wenger, Ryan
   Duncan, Michael
TI Exploratory Analysis of Revealed Pedestrian Paths as Cues for Designing Pedestrian Infrastructure
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
ID crossing behavior
AB Pedestrianism is a key mode of transportation within an urban community. However, unlike motorized transport, pedestrians are not limited to using the codified infrastructure designed for foot travel (e.g., sidewalks). Pedestrians can reveal, in physical form, desired paths to connect origins and destinations. This exploratory study employed two methods to examine the extent and drivers of desired pedestrian paths and activity: (1) aerial photography and spatial analysis were used to create an inventory of desired paths on the campus of Florida State University, and (2) a survey of desired path users was administered to determine the drivers of this activity. A comparison of spatial data from 2013 and 2018 demonstrates an array of desired paths on campus and, over time, campus planners have codified many of these informal paths. The results from the survey demonstrate that pedestrians use desired paths primarily for efficiency but not at the expense of nighttime safety concerns. We offer desired paths as physical evidence of pedestrian preferences that planners can use to improve the design of pedestrian infrastructure. (C) 2019 American Society of Civil Engineers.
C1 [Coutts, Christopher; Duncan, Michael] Florida State Univ, Dept Urban & Reg Planning, Tallahassee, FL 32306 USA.
   [Wenger, Ryan] Kimley Horn Consultants, Policy Planning Off, 2700 Welaunee Blvd,Apt 515, Tallahassee, FL 32308 USA.
C3 State University System of Florida; Florida State University
RP Coutts, C (通讯作者)，Florida State Univ, Dept Urban & Reg Planning, Tallahassee, FL 32306 USA.
EM ccoutts@fsu.edu; rdw14@my.fsu.edu; mdduncan@fsu.edu
CR Bennett T, 1984, BURGLARS ON BURGLARY, V0, P0
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Chu XH, 2004, TRANSPORT RES REC, V0, PP3, DOI 10.3141/1878-01
   de Dios Ortilzar J, 2011, MODELLING TRANSPORT, V0, P0
   EVANS SP, 1973, TRANSPORT RES, V7, P39, DOI 10.1016/0041-1647(73)90005-1
   Florida State University, 2018, AB FSU, V0, P0
   Governors Highway Safety Association, 2017, PED TRAFF FAT STAT, V0, P0
   Ishaque MM, 2008, TRANSPORT REV, V28, P61, DOI 10.1080/01441640701365239
   Kohlstedt K, 2016, LEAST RESISTANCE DES, V0, P0
   Koslow J, 2006, TOUR HIST FUTURE CAM, V0, P0
   Lamit H, 2012, OIDA INT J SUSTAINAB, V4, P27
   Lieberwirth R, 2017, GENDER MAKES WORLD D, V0, P0
   National Association of Realtors, 2017, COMM TRANSP PERF SUR, V0, P0
   Newman Oscar, 1972, DEFENSIBLE SPACE CRI, V0, P0
   Obeng-Atuah D, 2017, J TRANSP HEALTH, V5, P55, DOI 10.1016/j.jth.2016.06.007
   Owings J, 2017, FOLLOW YOUR CUSTOMER, V0, P0
   Papadimitriou E, 2016, TRANSPORT RES F-TRAF, V36, P69, DOI 10.1016/j.trf.2015.11.003
   Rouphail Nagui M, 1984, MIDBLOCK CROSSWALKS: A USER COMPLIANCE AND PREFERENCE STUDY, V0, P0
   Schmitt A, 2018, AM PEDESTRIAN SAFETY, V0, P0
   Sisiopiku VP, 2003, TRANSPORTATION RESEARCH PART F, V6, P249, DOI 10.1016/J.TRF.2003.06.001
   The United States Conference of Mayors, 2015, MEN SURV MAYORS, V0, P0
   Tom A, 2011, ACCIDENT ANAL PREV, V43, P1794, DOI 10.1016/j.aap.2011.04.012
   Vanky Anthony P, 2017, PREV MED REP, V8, P30, DOI 10.1016/j.pmedr.2017.07.002
   Vojnovic I, 2006, GEOGR ANN B, V88B, P67, DOI 10.1111/j.0435-3684.2006.00206.x
   Yang Y, 2012, AM J PREV MED, V43, P11, DOI 10.1016/j.amepre.2012.03.015
   Zheng YA, 2015, SIMUL MODEL PRACT TH, V59, P89, DOI 10.1016/j.simpat.2015.08.005
NR 26
TC 1
Z9 3
U1 3
U2 21
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 15
PY 2019
VL 145
IS 4
BP 
EP 
DI 10.1061/(ASCE)UP.1943-5444.0000539
PG 10
WC Engineering, Civil; Regional & Urban Planning; Urban Studies
SC Engineering; Public Administration; Urban Studies
GA JP0NS
UT WOS:000497969500016
DA 2026-05-02
ER

PT J
AU Park, K
   Ewing, R
   Sabouri, S
   Larsen, J
AF Park, Keunhyun
   Ewing, Reid
   Sabouri, Sadegh
   Larsen, Jon
TI Street life and the built environment in an auto-oriented US region
SO CITIES
LA English
DT Article
DE Pedestrian volume; Streetscape features; Urban design measures; Walkability; Spatial filtering
ID urban design; physical-activity; walking; neighborhood; quality; level; walkability; features; health; travel
AB Urban planners and designers believe that the built environment at various geographic scales affects pedestrian activity, but have limited empirical evidence at the street scale, to support their claims. We are just beginning to identify and measure the qualities that generate active street life, and this paper builds on the first few studies to do so. This study measures street design qualities and surrounding urban form variables for 881 block faces in Salt Lake County, Utah, and relates them to pedestrian counts. This is the largest such study to date and includes suburbs as well as cities. At the neighborhood scale, we find that D variables development density, accessibility to destinations, and distance to transit are significantly associated with the pedestrian activity. At the street scale, we find significant positive relationships between three urban design qualities imageability, human scale, and complexity and pedestrian counts, after controlling for neighborhood-scale variables. Finally, we find that pedestrian counts are positively associated with seven of twenty streetscape features historic buildings, outdoor dining, buildings with identifiers, less sky view, street furniture, active uses, and accent building colors. This study provides implications for streetscape projects that aim to create walkable places in typical auto-oriented, medium-sized cities.
C1 [Park, Keunhyun] Utah State Univ, Dept Landscape Architecture & Environm Planning, 4005 Old Main Hill, Logan, UT 84322 USA.
   [Ewing, Reid; Sabouri, Sadegh] Univ Utah, Coll Architecture Planning, 375 S 1530 E, Salt Lake City, UT 84103 USA.
   [Larsen, Jon] Transportat Div, POB 145502, Salt Lake City, UT 84114 USA.
C3 Utah System of Higher Education; Utah State University; Utah System of Higher Education; University of Utah
RP Park, K (通讯作者)，Utah State Univ, Dept Landscape Architecture & Environm Planning, 4005 Old Main Hill, Logan, UT 84322 USA.
EM keunhyun.park@usu.edu; ewing@arch.utah.edu; Sadegh.Sabouri@utah.edu; jon.larsen@slcgov.com
CR Ameli SH, 2015, J URBAN DES, V20, P393, DOI 10.1080/13574809.2015.1041894
   Unknown -, 2017, COSTS OF SPRAWL, V0, P0, DOI DOI 10.4324/9781315628103
   Anselin L, 2004, ADVANCES IN SPATIAL ECONOMETRICS. METHODOLOGY, V0, PP1, DOI 10.1007/978-3-662-05617-2_1
   Anselin L, 1988, SPATIAL ECONOMETRICS: METHODS AND MODELS, V4, P0
   APPLEYARD D, 1983, HABITAT INT, V7, P111, DOI 10.1016/0197-3975(83)90039-5
   Bahrainy H, 2013, CITIES, V31, P17, DOI 10.1016/j.cities.2013.01.001
   Boarnet MG, 2011, ENVIRON BEHAV, V43, P735, DOI 10.1177/0013916510379760
   Carr LJ, 2011, BRIT J SPORT MED, V45, P1144, DOI 10.1136/bjsm.2009.069609
   Castillo-Manzano JI, 2014, HABITAT INT, V44, P194, DOI 10.1016/j.habitatint.2014.06.005
   Cervero R, 2004, TRANSIT-ORIENTED DEVELOPMENT IN THE UNITED STATES: EXPERIENCES, V0, P0
   Dalton AM, 2013, PLOS ONE, V8, P0, DOI 10.1371/journal.pone.0067575
   Dormann CF, 2007, GLOBAL ECOL BIOGEOGR, V16, P774, DOI 10.1111/j.1466-8238.2007.00344.x
   Dumbaugh E, 2009, J AM PLANN ASSOC, V75, P309, DOI 10.1080/01944360902950349
   *EUR COMM DIR GEN, 2004, RECL CIT STREETS PEO, V0, P0
   Ewing R, 2013, METR PLANN DES, V0, PP1, DOI 10.5822/978-1-61091-209-9
   Ewing R, 2001, TRANSPORT RES REC, V0, PP87, DOI 10.3141/1780-10
   Ewing Reid, 2006, J PHYS ACT HEALTH, V3, PS223, DOI 10.1123/jpah.3.s1.s223
   Ewing R, 2016, J PLAN EDUC RES, V36, P5, DOI 10.1177/0739456X15591585
   Ewing R, 2015, URBAN STUD, V52, P2330, DOI 10.1177/0042098014560991
   Ewing R, 2009, J URBAN DES, V14, P65, DOI 10.1080/13574800802451155
   Ewing Reid, 2013, PEDESTRIAN TRANSIT-ORIENTED DESIGN, V0, P0
   Fishman E, 2015, PLOS ONE, V10, P0, DOI 10.1371/journal.pone.0121871
   Frank LD, 2010, BRIT J SPORT MED, V44, P924, DOI 10.1136/bjsm.2009.058701
   Gallimore JM, 2011, J ENVIRON PSYCHOL, V31, P184, DOI 10.1016/j.jenvp.2011.01.001
   Gehl Jan, 2010, CITIES FOR PEOPLE, V0, P0
   Griffith DA, 2013, SPATIAL AUTOCORRELAT, V0, P0
   Hair JF, 2017, MULTIVARIATE DATA ANALYSIS: A GLOBAL PERSPECTIVE, V2, P0, DOI 10.2307/3556165
   Hamidi S, 2018, TRANSP RES BOARD 97, V0, P0
   Institute of Transportation Engineers (ITE), 2008, TRIP GEN HDB ITE PRO, V0, P0
   Jackson LE, 2003, LANDSCAPE URBAN PLAN, V64, P191, DOI 10.1016/S0169-2046(02)00230-X
   Landis BW, 2001, TRANSPORT RES REC, V0, PP82, DOI 10.3141/1773-10
   LaPlante J, 2008, ITE J, V78, P24
   Leccese Michael, 2000, CHARTER NEW URBANISM, V0, P0
   Liu YT, 2010, HABITAT INT, V34, P135, DOI 10.1016/j.habitatint.2009.08.003
   Lydon Mike, 2015, TACTICAL URBANISM, V0, PP171, DOI 10.5822/978-1-61091-567-0_5
   Marshall WE, 2011, ACCIDENT ANAL PREV, V43, P769, DOI 10.1016/j.aap.2010.10.024
   Mateo-Babiano I, 2016, TRANSPORT POLICY, V45, P107, DOI 10.1016/j.tranpol.2015.09.008
   Maxwell JA, 2016, THESIS, V0, P0
   Mehta Vikas, 2013, THE STREET: A QUINTESSENTIAL SOCIAL PUBLIC SPACE, V0, P0, DOI DOI 10.4324/9780203067635
   Moudon AV, 1997, TRANSPORT RES REC, V0, PP48, DOI 10.3141/1578-07
   Owen N, 2007, AM J PREV MED, V33, P387, DOI 10.1016/j.amepre.2007.07.025
   Patterson PK, 2004, AM J HEALTH PROMOT, V19, P45, DOI 10.4278/0890-1171-19.1.45
   Rodríguez DA, 2006, J AM PLANN ASSOC, V72, P43, DOI 10.1080/01944360608976723
   Rodríguez DA, 2009, TRANSPORT RES D-TR E, V14, P470, DOI 10.1016/j.trd.2009.06.001
   RSG Inc, 2013, UT TRAV SURV, V0, P0
   USCensus Bureau, 2015, 2015 AM COMM SURV 1, V0, P0
   2011, 1900, V43, V0, PP1624, DOI 10.1016/J.AAP.2011.02.005
NR 47
TC 82
Z9 88
U1 0
U2 97
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 MAY 15
PY 2019
VL 88
IS 
BP 243
EP 251
DI 10.1016/j.cities.2018.11.005
PG 9
WC Urban Studies
SC Urban Studies
GA HW1PT
UT WOS:000466455500023
DA 2026-05-02
ER

PT J
AU Logan, TM
   Williams, TG
   Nisbet, AJ
   Liberman, KD
   Zuo, CT
   Guikema, SD
AF Logan, T. M.
   Williams, T. G.
   Nisbet, A. J.
   Liberman, K. D.
   Zuo, C. T.
   Guikema, S. D.
TI Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Spatial accessibility; proximity; walking; cycling; health care; green space; food deserts
ID green space; health-care; spatial accessibility; environmental justice; access; gis; parks; schools; transit; population
AB We revisit the standard methodology for evaluating proximity to urban services and recommend enhancements to address existing limitations. Existing approaches often simplify their measure of proximity by using large areal units and by imposing arbitrary distance thresholds. By doing so, these approaches risk overlooking vulnerable, access-poor populations - the very populations that such studies are often trying to identify. These limitations are primarily motivated by computational constraints. However, recent advances in computational power, open data, and open-source analytics permit high-resolution proximity analyses on large scales. Given the impetus for equitable accessibility in our communities, this is of fundamental importance for researchers and practitioners. In this paper, we present an approach that leverages these open source advances to (a) measure proximity using network distance at the building level, (b) estimate population at that level, and (c) present the resulting distributions so vulnerable populations can be identified. Using three cities and modes of transport, we demonstrate how the approach enhances existing measures and identifies service-poor populations where the previous methods fall short. The proximity results could be used alone, or as inputs to access metrics. Our collating of these components into an open source code provides opportunities for researchers and practitioners to explore fine-resolution, city-wide accessibility across multiple cities and the host of questions that follow.
C1 [Logan, T. M.; Williams, T. G.; Liberman, K. D.; Zuo, C. T.; Guikema, S. D.] Univ Michigan, Ind & Operat Engn Dept, Ann Arbor, MI 48104 USA.
   [Nisbet, A. J.] Chalmers Univ Technol, Dept Phys, Gothenburg, Sweden.
C3 University of Michigan System; University of Michigan; Chalmers University of Technology
RP Logan, TM (通讯作者)，Univ Michigan, Ind & Operat Engn, Ann Arbor, MI 48104 USA.
EM tomlogan@umich.edu
FU University of Michigan; U.S. National Science Foundation [CMMI-1621116, SEES-1631409]
CR Unknown -, 2016, ENV PLANNING B, V0, P0
   Unknown -, 2016, J TRANSP LAND USE, V0, P0, DOI DOI 10.5198/jtlu.2015.593
   Unknown -, 2003, TRANSPORTATION RES R, V0, P0
   Apparicio P, 2007, INT J HEALTH GEOGR, V6, P0, DOI 10.1186/1476-072X-6-4
   Astell-Burt T, 2014, BMC PUBLIC HEALTH, V14, P0, DOI 10.1186/1471-2458-14-292
   Austin SB, 2005, AM J PUBLIC HEALTH, V95, P1575, DOI 10.2105/AJPH.2004.056341
   AZAR KT, 1994, COMPUT ENVIRON URBAN, V18, P205, DOI 10.1016/0198-9715(94)90025-6
   Barbosa O, 2007, LANDSCAPE URBAN PLAN, V83, P187, DOI 10.1016/j.landurbplan.2007.04.004
   Biba S, 2010, INT J GEOGR INF SCI, V24, P347, DOI 10.1080/13658810802646679
   Boone CG, 2009, ANN ASSOC AM GEOGR, V99, P767, DOI 10.1080/00045600903102949
   Bramley G, 2009, ENVIRON PLANN A, V41, P2125, DOI 10.1068/a4184
   Burke M, 2007, ROAD TRANSP RES, V16, P16
   Cohen DA, 2007, AM J PUBLIC HEALTH, V97, P509, DOI 10.2105/AJPH.2005.072447
   Currie G, 2010, J TRANSP GEOGR, V18, P31, DOI 10.1016/j.jtrangeo.2008.12.002
   Dijkstra E, 1900, V1, V0, PP269, DOI 10.1007/BF01386390
   Haklay M, 2010, ENVIRON PLANN B, V37, P682, DOI 10.1068/b35097
   Hawthorne TL, 2012, GEOGR J, V178, P18, DOI 10.1111/j.1475-4959.2011.00411.x
   Hewko J, 2002, ENVIRON PLANN A, V34, P1185, DOI 10.1068/a34171
   Hilisdon M, 2006, PUBLIC HEALTH, V120, P1127, DOI 10.1016/j.puhe.2006.10.007
   Hsiao S, 1997, TRANSPORT RES REC, V1604, P50, DOI 10.3141/1604-07
   Kimpel ThomasJ, 2007, URISA JOURNAL, V19, P5
   King G, 1997, RECONSTRUCTING INDIVIDUAL BEHAVIOR FROM AGGREGATE DATA: A SOLUTION TO THE ECOLOGICAL INFERENCE PROBLEM, V0, P0
   Kipke MD, 2007, J ADOLESCENT HEALTH, V40, P325, DOI 10.1016/j.jadohealth.2006.10.021
   Koschinsky J, 2017, ENVIRON PLAN B-URBAN, V44, P343, DOI 10.1177/0265813515625641
   Langford M, 2006, PROF GEOGR, V58, P294, DOI 10.1111/j.1467-9272.2006.00569.x
   Larsen K, 2008, INT J HEALTH GEOGR, V7, P0, DOI 10.1186/1476-072X-7-16
   Lee J, 2017, EDUC URBAN SOC, V49, P53, DOI 10.1177/0013124516630601
   Lei TL, 2010, INT J GEOGR INF SCI, V24, P283, DOI 10.1080/13658810902835404
   Luxen D, 2011, P 19 ACM SIGSPATIAL, V0, PP513, DOI 10.1145/2093973.2094062
   Macedo J, 2016, ENVIRON PLANN B, V43, P1096, DOI 10.1177/0265813515603369
   Mao L, 2013, HEALTH PLACE, V24, P115, DOI 10.1016/j.healthplace.2013.08.008
   Mavoa S, 2012, J TRANSP GEOGR, V20, P15, DOI 10.1016/j.jtrangeo.2011.10.001
   Merkel D, 2014, LINUX J, V2014, P2, DOI 10.5555/2600239.2600241
   Nobles M, 2014, ANN APPL STAT, V8, P1922, DOI 10.1214/14-AOAS728
   OSullivan D, 2000, INT J GEOGR INF SCI, V14, P85, DOI 10.1080/136588100240976
   Oliver LN, 2007, INT J HEALTH GEOGR, V6, P0, DOI 10.1186/1476-072X-6-41
   Openshaw S, 1984, MODIFIABLE AREAL UNI, V0, P0, DOI DOI 10.21428/CB6AB371.5C28C076
   PACIONE M, 1989, SCOT GEOGR MAG, V105, P12, DOI 10.1080/00369228918736746
   PENCHANSKY R, 1981, MED CARE, V19, P127, DOI 10.1097/00005650-198102000-00001
   Randall TA, 2001, J URBAN PLAN D-ASCE, V127, P1, DOI 10.1061/(ASCE)0733-9488(2001)127:1(1)
   Reklaitiene R, 2014, SCAND J PUBLIC HEALT, V42, P669, DOI 10.1177/1403494814544494
   [桑丽杰 Sang Lijie], 2013, 地理科学进展 PROGRESS IN GEOGRAPHY, V32, P950
   Saurman E, 2016, J HEALTH SERV RES PO, V21, P36, DOI 10.1177/1355819615600001
   Schlossberg M, 2006, J AM PLANN ASSOC, V72, P337, DOI 10.1080/01944360608976755
   Schuurman Nadine, 2006, INT J HEALTH GEOGR, V5, P43, DOI 10.1186/1476-072X-5-43
   Sherman Jill E, 2005, INT J HEALTH GEOGR, V4, P24, DOI 10.1186/1476-072X-4-24
   Talen E, 2003, ENVIRON PLANN B, V30, P181, DOI 10.1068/b12977
   Tan PY, 2017, LANDSCAPE URBAN PLAN, V158, P139, DOI 10.1016/j.landurbplan.2016.11.001
   Williams S, 2014, URBAN GEOGR, V35, P1066, DOI 10.1080/02723638.2014.936668
   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
NR 53
TC 58
Z9 71
U1 2
U2 53
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 15
PY 2019
VL 46
IS 5
BP 897
EP 913
DI 10.1177/2399808317736528
PG 17
WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies
GA ID7RV
UT WOS:000471881100007
DA 2026-05-02
ER

PT J
AU Hahm, Y
   Yoon, H
   Choi, Y
AF Hahm, Yeankyoung
   Yoon, Heeyeun
   Choi, Yunwon
TI The effect of built environments on the walking and shopping behaviors of pedestrians; A study with GPS experiment in Sinchon retail district in Seoul, South Korea
SO CITIES
LA English
DT Article
DE Built environment; Retail district; Walking behavior; Shopping behavior; Path analysis; Global Positioning System (GPS)
ID customer satisfaction; physical-activity; route-choice; university; city; town; attractiveness; mall; gentrification; surveillance
AB With this research, we aim to identify built environmental components of retail districts that affect pedestrian behaviors and influence their shopping behavior. We conducted GPS experiments to observe visitors' choice of walking route-pedestrian volume and visit duration-and the questionnaire survey to obtain their records of shopping on where and how much they spent in the Sinchon retail district of Seoul, South Korea. We then employed a path analysis to assess the causal relationship between the built environment, walking behavior, and shopping behavior. We found that pedestrians prefer streets with safety from vehicles, high design quality; higher hierarchy, centrality, and provision of resting places or other street amenities; and that all of these variables also increase pedestrian's visit duration and induce spending at stores on the street. This study would provide design guidelines to municipalities or private retailers looking to revitalize retail districts through environmental improvements.
C1 [Hahm, Yeankyoung; Yoon, Heeyeun] Seoul Natl Univ, Coll Agr & Life Sci, Dept Landscape Architecture & Rural Syst Engn, 1 Gwanak Ro, Seoul 08826, South Korea.
   [Yoon, Heeyeun] Seoul Natl Univ, Res Inst Agr & Life Sci, 1 Gwanak Ro, Seoul 08826, South Korea.
   [Choi, Yunwon] Seoul Natl Univ, Interdisciplinary Program Landscape Architecture, 1 Gwanak Ro, Seoul 08826, South Korea.
C3 Seoul National University (SNU); Seoul National University (SNU); Seoul National University (SNU)
RP Yoon, H (通讯作者)，Seoul Natl Univ, Coll Agr & Life Sci, Dept Landscape Architecture & Rural Syst Engn, 1 Gwanak Ro, Seoul 08826, South Korea.
EM hyyoon@snu.ac.kr; yunwon.choi@snu.ac.kr
FU National Research Foundation of Korea - Ministry of Science, ICT and Future Planning [NRF-2015R1C1A2A01055615]; Seoul National University [500-20180205]; Korea Environmental Industry and Technology Institute [KEITI 2014-001-310007]
CR Agrawal AW, 2008, J URBAN DES, V13, P81, DOI 10.4103/0971-9261.43034
   Unknown -, 1995, IMPROVING SURVEY QUE, V0, P0
   Appleyard D, 1964, THE VIEW FROM THE ROAD, V196, P0
   Arifin WN, 2016, SAGE OPEN, V6, P0, DOI 10.1177/2158244016650240
   Balram S, 2005, LANDSCAPE URBAN PLAN, V71, P147, DOI 10.1016/j.landurbplan.2004.02.007
   Beeco JA, 2014, LANDSCAPE URBAN PLAN, V127, P136, DOI 10.1016/j.landurbplan.2014.04.002
   Benneworth P, 2010, EUR PLAN STUD, V18, P1611, DOI 10.1080/09654313.2010.504345
   Blue VJ, 2001, TRANSPORT RES B-METH, V35, P293, DOI 10.1016/S0191-2615(99)00052-1
   BORGERS A, 1986, SOCIO ECON PLAN SCI, V20, P25, DOI 10.1016/0038-0121(86)90023-6
   Borgers A, 2009, PEDESTRIAN BEHAVIOR: MODELS, V0, P87
   Brockliss L, 2000, MINERVA, V38, P147, DOI 10.1023/A:1026596910667
   Bunnell G, 2006, PLAN PRACT RES, V21, P25, DOI 10.1080/02697450600901483
   Cachinho H, 2014, CITIES, V36, P131, DOI 10.1016/j.cities.2012.10.005
   Caramuta C, 2017, TRANSP RES PROC, V25, P551, DOI 10.1016/j.trpro.2017.05.438
   Carpenter JM, 2008, J RETAIL CONSUM SERV, V15, P358, DOI 10.1016/j.jretconser.2007.08.003
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Chaudhuri A, 2015, J TRANSP HEALTH, V2, P529, DOI 10.1016/j.jth.2015.07.001
   De Nisco A, 2013, INT J RETAIL DISTRIB, V41, P654, DOI 10.1108/IJRDM-05-2013-0106
   Dennis C, 2002, THE INTERNATIONAL REVIEW OF RETAIL, V0, P0
   Dijkstra J, 2009, PEDESTRIAN BEHAVIOR: MODELS, V0, P63
   Duives DC, 2013, TRANSPORT RES C-EMER, V37, P193, DOI 10.1016/j.trc.2013.02.005
   El-Adly MI, 2007, INT J RETAIL DISTRIB, V35, P936, DOI 10.1108/09590550710828245
   Ewing Reid, 2006, J PHYS ACT HEALTH, V3, PS223, DOI 10.1123/jpah.3.s1.s223
   Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766
   Ewing R, 2009, J URBAN DES, V14, P65, DOI 10.1080/13574800802451155
   Fine M, 2003, J SOC ISSUES, V59, P141, DOI 10.1111/1540-4560.t01-1-00009
   Garrido-Yserte R, 2010, ANN REGIONAL SCI, V44, P39, DOI 10.1007/s00168-008-0243-x
   Gehl J, 2013, HUMANISM FOR SALE, V0, P0
   Gehl Jan, 2006, URBAN DES INT, V11, P32, DOI 10.1057/palgrave.udi.9000162
   Gómez MI, 2004, J RETAILING, V80, P265, DOI 10.1016/j.jretai.2004.10.003
   GOSS J, 1993, ANN ASSOC AM GEOGR, V83, P18, DOI 10.1111/j.1467-8306.1993.tb01921.x
   Gumprecht B, 2003, GEOGR REV, V93, P51, DOI 10.1111/j.1931-0846.2003.tb00020.x
   Hack G, 2013, BUSINESS PERFORMANCE, V0, P0
   Hahm Y, 2017, HABITAT INT, V70, P50, DOI 10.1016/j.habitatint.2017.10.002
   Haklay M, 2001, ENVIRON PLANN B, V28, P343, DOI 10.1068/b2758t
   Hart C, 2013, J MARKET MANAG-UK, V29, P1753, DOI 10.1080/0267257X.2013.800900
   Hass-Klau C, 2014, THE PEDESTRIAN AND CITY, V0, P0
   Haytko DL, 2004, J RETAILING, V80, P67, DOI 10.1016/j.jretai.2004.01.005
   HELBING D, 1995, PHYS REV E, V51, P4282, DOI 10.1103/PhysRevE.51.4282
   Hirsch JA, 2016, ENVIRON BEHAV, V48, P55, DOI 10.1177/0013916515607312
   Hoogendoorn SP, 2004, TRANSPORT RES B-METH, V38, P169, DOI 10.1016/S0191-2615(03)00007-9
   Horacek TM, 2018, AM J HEALTH PROMOT, V32, P578, DOI 10.1177/0890117116666357
   Hsia H-C, 2013, J E ASIA SOC TRANSPO, V10, P1475
   Hu LK, 2014, SIGIR14: PROCEEDINGS OF THE 37TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, V0, PP345, DOI 10.1145/2600428.2609593
   Hui ECM, 2013, FACILITIES, V31, P194, DOI 10.1108/02632771311307070
   Humpel N, 2004, AM J PREV MED, V26, P119, DOI 10.1016/j.amepre.2003.10.005
   Imani F, 2012, PROCD SOC BEHV, V32, P53, DOI 10.1016/j.sbspro.2012.01.010
   Jacobs J, 1961, DEATH LIFE AM CITIES, V0, P0
   Kajalo S, 2016, FACILITIES, V34, P219, DOI 10.1108/F-06-2014-0055
   Kang CD, 2016, HABITAT INT, V57, P110, DOI 10.1016/j.habitatint.2016.07.006
   Kang CD, 2015, CITIES, V46, P94, DOI 10.1016/j.cities.2015.05.006
   Kim I, 2013, TRANSPORT RES A-POL, V49, P232, DOI 10.1016/j.tra.2013.01.018
   KITCHIN RM, 1994, J ENVIRON PSYCHOL, V14, P1, DOI 10.1016/S0272-4944(05)80194-X
   Knox SimonD, 2000, JOURNAL OF RETAILING AND CONSUMER SERVICES, V7, P33, DOI 10.1016/S0969-6989(98)00033-2
   Kockelman KM, 1997, TRANSPORTATION RES R, V1607, P116, DOI 10.3141/1607-16
   Kok VJ, 2016, NEUROCOMPUTING, V177, P342, DOI 10.1016/j.neucom.2015.11.021
   Korea Appraisal Board, 2017, 17 COMM COMM DISTR K, V0, P0
   Korpilo S, 2017, LANDSCAPE URBAN PLAN, V157, P608, DOI 10.1016/j.landurbplan.2016.08.005
   Kurose S, 2001, ENVIRON PLANN B, V28, P405, DOI 10.1068/b2622
   KVALE S, 1994, J PHENOMENOL PSYCHOL, V25, P147, DOI 10.1163/156916294X00016
   Kwon M, 2017, LANDSCAPE URBAN PLAN, V167, P302, DOI 10.1016/j.landurbplan.2017.07.008
   Lee Chanam, 2006, J PHYS ACT HEALTH, V3, PS77, DOI 10.1123/jpah.3.s1.s77
   Lehto XY, 2004, JOURNAL OF VACATION MARKETING, V10, P320, DOI 10.1177/135676670401000404
   Li F, 2004, JOURNAL OF PHYSICAL ACTIVITY AND HEALTH, V1, P398, DOI 10.1123/jpah.1.4.398
   Li FZ, 2005, J EPIDEMIOL COMMUN H, V59, P558, DOI 10.1136/jech.2004.028399
   Liu Z, 2018, LANDSCAPE URBAN PLAN, V0, P0
   Lo RH, 2009, J URBANISM INT RES P, V2, P145, DOI 10.1080/17549170903092867
   Lynch Kevin, 1964, THE IMAGE OF THE CITY, V0, P0
   Moiseeva A, 2010, J RETAIL CONSUM SERV, V17, P189, DOI 10.1016/j.jretconser.2010.03.011
   Moudon AV, 2007, AM J HEALTH PROMOT, V21, P448, DOI 10.4278/0890-1171-21.5.448
   Moura F, 2017, LANDSCAPE URBAN PLAN, V157, P282, DOI 10.1016/j.landurbplan.2016.07.002
   Mouratidis K, 2018, CITIES, V74, P7, DOI 10.1016/j.cities.2017.10.020
   Moussaïd M, 2011, P NATL ACAD SCI USA, V108, P6884, DOI 10.1073/pnas.1016507108
   Nase I, 2013, J PROP INVEST FINANC, V31, P160, DOI 10.1108/14635781311302582
   ORoarty B, 1997, EXPERT SYST APPL, V12, P417, DOI 10.1016/S0957-4174(97)83769-4
   Owen N, 2004, AM J PREV MED, V27, P67, DOI 10.1016/j.amepre.2004.03.006
   Özdemir D, 2017, CITIES, V65, P10, DOI 10.1016/j.cities.2017.02.008
   Paci R, 2000, RIVISTA ITALIANA DEGLI ECONOMISTI VOL, V5, P237, DOI 10.2139/ssrn.192948
   Papadimitriou E, 2009, TRANSPORT RES F-TRAF, V12, P242, DOI 10.1016/j.trf.2008.12.004
   Pietilä M, 2015, J OUTDOOR REC TOUR, V10, P44, DOI 10.1016/j.jort.2015.06.006
   Pocock DCD, 1976, TRANSACTIONS OF THE INSTITUTE OF BRITISH GEOGRAPHERS, V1, P493, DOI 10.2307/621905
   Proudfoot MJ, 1937, ECON GEOGR, V13, P425, DOI 10.2307/141589
   Rahaman KR, 2012, J URBAN PLAN DEV, V138, P26, DOI 10.1061/(ASCE)UP.1943-5444.0000094
   Robin T, 2009, TRANSPORT RES B-METH, V43, P36, DOI 10.1016/j.trb.2008.06.010
   Rosenstein B, 2002, INT J QUAL METH, V1, P1, DOI 10.1177/160940690200100302
   Ruoppila S, 2017, CITIES, V69, P56, DOI 10.1016/j.cities.2017.05.011
   Seodaemungu, 2016, SEOUL URBAN RENAISSA, V0, P0
   Sevtsuk A, 2012, REV INT GEOMATIQUE, V287, P305, DOI 10.3166/RIG.22.287-305
   Southworth M, 2005, J URBAN PLAN DEV, V131, P246, DOI 10.1061/(ASCE)0733-9488(2005)131:4(246)
   Speck J, 2013, WALKABLE CITY DOWNTO, V0, P0
   Teller C, 2008, J RETAIL CONSUM SERV, V15, P127, DOI 10.1016/j.jretconser.2007.03.003
   Teller C, 2008, INT REV RETAIL DISTR, V18, P381, DOI 10.1080/09593960802299452
   Valero A, 2016, W22501 NAT BUR EC RE, V0, P0
   Wang WL, 2014, TRANSPORT RES C-EMER, V44, P21, DOI 10.1016/j.trc.2014.03.009
   Wang Y, 2016, CITIES, V50, P1, DOI 10.1016/j.cities.2015.08.004
   Whyte W, 2001, SOCIAL LIFE SMALL UR, V0, P0
   Wishart D, 2017, J SAFETY RES, V63, P83, DOI 10.1016/j.jsr.2017.08.007
   Wu PCS, 2011, AUSTRALAS MARK J, V19, P30, DOI 10.1016/j.ausmj.2010.11.001
   Xi H, 2011, HUMAN-IN-THE-LOOP SIMULATIONS, V0, P69
   Yang WY, 2018, CITIES, V81, P24, DOI 10.1016/j.cities.2018.03.009
   Yoon H, 2015, URBAN STUD, V52, P20, DOI 10.1177/0042098014536785
   Yoon YG, 2007, URBAN COMMERCIAL ANA, V0, P0
   Yoshimura Y, 2017, APPL GEOGR, V81, P43, DOI 10.1016/j.apgeog.2017.02.002
   Zacharias J, 2005, J URBAN PLAN D-ASCE, V131, P195, DOI 10.1061/(ASCE)0733-9488(2005)131:3(195)
   Zacharias J, 2001, J PLAN LIT, V16, P3, DOI 10.1177/08854120122093249
   Zacharias J, 2003, J SHOPPING CTR RES, V10, P29
   Zhou PL, 2017, SOC SCI MED, V192, P74, DOI 10.1016/j.socscimed.2017.09.032
   Zhu W, 2006, J URBAN PLAN D-ASCE, V132, P166, DOI 10.1061/(ASCE)0733-9488(2006)132:3(166)
   Zhu W, 2009, PEDESTRIAN BEHAVIOR: MODELS, V0, P137
   2014, 1900, V416, V0, PP684, DOI 10.1016/J.PHYSA.2014.07.050
NR 110
TC 83
Z9 90
U1 10
U2 135
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUN 15
PY 2019
VL 89
IS 
BP 1
EP 13
DI 10.1016/j.cities.2019.01.020
PG 13
WC Urban Studies
SC Urban Studies
GA HY1PG
UT WOS:000467888300001
DA 2026-05-02
ER

PT J
AU Al-Saraifv, Q
   Grierson, D
AF Al-Saraifv, Qaaid
   Grierson, David
TI WALKING TO OCCUPATIONAL ACTIVITIES WITHIN THREE NEIGHBOURHOODS IN BASRA CITY
SO OPEN HOUSE INTERNATIONAL
LA English
DT Article
DE Neighbourhood; Walking to Occupational Activities; Subjective Instrument; Questionnaire
ID sedentary life-style; physical-activity; built environment; urban form; land-use; obesity; determinants; behavior; associations; walkability
AB Recognizing the demand for a reliable subjective instrument to gather information on walking to occupational activities on the neighbourhood scale, this paper outlines the Neighbourhood Walking to Occupational Activities Questionnaire (NWOAQ) recently developed at the Department of Architecture, University of Strathclyde. The approach follows reliable techniques in the design of questionnaires including the analysis of currently available instruments, interviews with the potential case study participants, and the use of the Theory of Planned Behaviour (TPB). It describes the testing of NWOAQ, following a 'mixed method' adopted to sample the population of three case studies in Basra City, in Iraq (Al-Saymmar, Al-Mugawleen, and AI-Abassya). Cronbach's 'Alpha Test' (Cronbach, 1951) was conducted on three significant variables selected; 'the perceived environment' variables; the 'constructs of the TPB' variables; and the 'walking outcome' variables. This displayed different alpha levels, which were; 0.76; 0.74; and 0.87, respectively. Based on CAT, the level of internal consistency that would render a group of indicators reliable should be no less than 0.60.
C1 [Al-Saraifv, Qaaid] Univ Basra, Basra, Iraq.
   [Grierson, David] Univ Strathclyde, Dept Architecture, Glasgow, Lanark, Scotland.
C3 University of Basrah; University of Strathclyde
RP Al-Saraifv, Q (通讯作者)，Univ Basra, Basra, Iraq.
EM Qaaid.alsaraify@gmail.com; d.grierson@strath.ac.uk
CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   AJZEN I, 2011, THEORY PLANNED BEHAV, V0, P1113
   Ajzen I, 1988, THEORY REASONED ACTI, V0, P0
   Unknown -, 2024, HEALTH ECONOMIC ASSESSMENT TOOL (HEAT) FOR WALKING AND CYCLING, V0, P0
   Bartlett JE, 2001, INFORM TECHNOLOGY, V19, P43, DOI 10.1109/LPT.2009.2020494
   Bauman AE, 2002, AM J PREV MED, V23, P5, DOI 10.1016/S0749-3797(02)00469-5
   Booth M, 2000, RES Q EXERC SPORT, V71 Suppl 2, P114, DOI 10.1080/02701367.2000.11082794
   BULPITT CJ, 1987, LANCET, V1, P494
   Cantrell BE, 2015, RESPONSIVE LANDSCAPES: STRATEGIES FOR RESPONSIVE TECHNOLOGIES IN LANDSCAPE ARCHITECTURE, V0, P0
   Cerin E, 2007, CITIES, V24, P209, DOI 10.1016/j.cities.2006.12.002
   Cerin E, 2007, HEALTH PLACE, V13, P713, DOI 10.1016/j.healthplace.2006.11.002
   Cerin E, 2013, BMC PUBLIC HEALTH, V13, P0, DOI 10.1186/1471-2458-13-309
   Clifton KJ, 2007, LANDSCAPE URBAN PLAN, V80, P95, DOI 10.1016/j.landurbplan.2006.06.008
   Creswell JW, 2014, RESEARCH DESIGN: QUALITATIVE, V0, P0, DOI 10.1007/S13398-014-0173-7.2
   Cronbach LJ, 1951, PSYCHOMETRIKA, V16, P297
   De Bourdeaudhuij I, 2003, AM J HEALTH PROMOT, V18, P83, DOI 10.4278/0890-1171-18.1.83
   DING D, 2012, ANN BEHAV MED, V0, P1
   Ding D, 2011, AM J PREV MED, V41, P442, DOI 10.1016/j.amepre.2011.06.036
   Dorling D, 2007, PLOS MED, V4, P13, DOI 10.1371/journal.pmed.0040001
   Feng J, 2010, HEALTH PLACE, V16, P175, DOI 10.1016/j.healthplace.2009.09.008
   Frank LD, 2004, AM J PREV MED, V27, P87, DOI 10.1016/j.amepre.2004.04.011
   Frank LD, 2005, INT REGIONAL SCI REV, V28, P193, DOI 10.1177/0160017604273853
   Friedman B, 1994, TRANSPORTATION RESEARCH RECORD, V1466, P63
   Giles-Corti B, 2002, SOC SCI MED, V54, P1793, DOI 10.1016/S0277-9536(01)00150-2
   Giles-Corti B, 2006, PREV MED, V42, P455, DOI 10.1016/j.ypmed.2006.01.019
   Grimm NB, 2000, BIOSCIENCE, V50, P571, DOI 10.1641/0006-3568(2000)050[0571:IATLTO]2.0.CO;2
   Handy SL, 1992, BUILD ENVIRON, V18, P253
   Handy SL, 2006, CONFERENCE PROCEEDINGS 35: RESEARCH ON WOMENS ISSUE IN TRANSPORTATION, V1, P29
   Handy SL, 1996, J PLAN EDUC RES, V15, P183, DOI 10.1177/0739456X9601500303
   Hess P, 1999, TRANSPORTATION RESEARCH RECORD: JOURNAL OF THE TRANSPORTATION RESEARCH BOARD, V1674, P9, DOI 10.3141/1674-02
   KISH L, 1974, J ROY STAT SOC B MET, V36, P1
   Kish L, 2004, STAT DESIGN RES, V83, P0
   Kitamura R, 1997, TRANSPORTATION, V24, P125, DOI 10.1023/A:1017959825565
   Lee C, 2008, BUILD RES INF, V36, P395, DOI 10.1080/09613210802045547
   Lee Chanam, 2006, J PHYS ACT HEALTH, V3, PS77, DOI 10.1123/jpah.3.s1.s77
   Lee C, 2006, TRANSPORT RES D-TR E, V11, P204, DOI 10.1016/j.trd.2006.02.003
   Lee C, 2006, ANN EPIDEMIOL, V16, P387, DOI 10.1016/j.annepidem.2005.03.003
   LeMarchand L, 1997, CANCER RES, V57, P4787
   Lovasi GS, 2009, AM J PUBLIC HEALTH, V99, P279, DOI 10.2105/AJPH.2008.138230
   Maddison R, 2009, INT J BEHAV NUTR PHY, V6, P0, DOI 10.1186/1479-5868-6-19
   Martínez-González MA, 1999, INT J OBESITY, V23, P1192, DOI 10.1038/sj.ijo.0801049
   Matthews CE, 2002, PHYS ACTIVITY ASSESS, V0, PP107, DOI 10.1136/BMJOPEN-2016-012655
   McCormack GR, 2006, INT J BEHAV NUTR PHY, V3, P0, DOI 10.1186/1479-5868-3-18
   Moudon Anne Vernez, 2006, J PHYS ACT HEALTH, V3, PS99, DOI 10.1123/jpah.3.s1.s99
   Norman Gregory J, 2006, J PHYS ACT HEALTH, V3, PS118, DOI 10.1123/jpah.3.s1.s118
   Pickett STA, 2013, EM RESILIENCE IN ECOLOGY AND URBAN DESIGN, V0, PP7, DOI 10.1007/978-94-007-5341-9_1
   Pikora T, 2003, SOC SCI MED, V56, P1693, DOI 10.1016/S0277-9536(02)00163-6
   Pikora TJ, 2002, AM J PREV MED, V23, P187, DOI 10.1016/S0749-3797(02)00498-1
   Rhodes RE, 2006, AM J HEALTH PROMOT, V21, P110, DOI 10.4278/0890-1171-21.2.110
   Rhodes RE, 2007, INT J BEHAV NUTR PHY, V4, P0, DOI 10.1186/1479-5868-4-51
   SAELENS B, 2011, NEIGHBORHOOD ENV WAL, V0, P0
   Sallis J, 2002, NEIGHBORHOOD ENV WAL, V0, P0
   Sallis J F, 2015, HEALTH BEHAVIOR: THEORY, V0, P0
   Sallis JE, 2006, ANNU REV PUBL HEALTH, V27, P297, DOI 10.1146/annurev.publhealth.27.021405.102100
   Sallis JF, 2006, FUTURE CHILD, V16, P89, DOI 10.1353/foc.2006.0009
   SALLIS JF, 1993, CRIT REV FOOD SCI, V33, P403, DOI 10.1080/10408399309527639
   Sallis JF, 2007, JOURNAL OF PHYSICAL ACTIVITY AND HEALTH, V4, P228
   THOMPSON SK, 1990, J AM STAT ASSOC, V85, P1050, DOI 10.2307/2289601
   Wing RR, 2001, DIABETES CARE, V24, P117, DOI 10.2337/diacare.24.1.117
NR 59
TC 2
Z9 3
U1 0
U2 6
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 0168-2601
EI 2633-9838
J9 OPEN HOUSE INT
JI Open House Int.
PD MAR 15
PY 2019
VL 44
IS 1
BP 53
EP 61
DI 
PG 9
WC Architecture; Environmental Studies; Urban Studies
SC Architecture; Environmental Sciences & Ecology; Urban Studies
GA HQ9CO
UT WOS:000462724400007
DA 2026-05-02
ER

PT J
AU Vich, G
   Marquet, O
   Miralles-Guasch, C
AF Vich, Guillem
   Marquet, Oriol
   Miralles-Guasch, Carme
TI Green exposure of walking routes and residential areas using smartphone tracking data and GIS in a Mediterranean city
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Green space; Exposure; Smartphone tracking; GPS; Mediterranean cities
ID physical-activity; urban green; built environment; data-collection; gps tracking; open space; health; design; associations; neighborhood
AB The aim of this study was to explore the exposure to green elements of residents in a compact and dense Mediterranean city, with a main focus on the exposure to traditional green elements such as parks and gardens and also less-explored elements such as public squares, boulevards, and beaches. Differences between walking and residential environments between morphologically distinct residential areas are also analysed. To achieve this, both residential and GPS-based exposure measures were obtained with GIS and smartphone tracking data for 129 adult individuals from Barcelona, Spain. Results have shown how using smartphone tracking data allows obtaining a higher density of green elements and the different types of these elements that residential buffers are not able to detect. Furthermore, research findings highlight the importance of urban form in the provision of green spaces in cities and that alternative greenness can be found in other types of open spaces beyond public parks.
C1 [Vich, Guillem; Miralles-Guasch, Carme] Autonomous Univ Barcelona, Geog Dept, E-08193 Barcelona, Spain.
   [Miralles-Guasch, Carme] ICTA Inst Environm Sci & Technol, Barcelona 08193, Spain.
   [Marquet, Oriol] North Carolina State Univ, Dept Pk Recreat & Tourism Management, 2800 Faucette Dr, Raleigh, NC 27695 USA.
C3 Autonomous University of Barcelona; North Carolina State University
RP Vich, G (通讯作者)，Autonomous Univ Barcelona, Geog Dept, E-08193 Barcelona, Spain.
EM guillem.vich@uab.cat
FU Ministerio de Economia y Competitividad, Gobierno de Espana, Spain [CSO2016-74904-R]
CR Aibar E, 1997, SCI TECHNOL HUM VAL, V22, P3, DOI 10.1177/016224399702200101
   Almanza E, 2012, HEALTH PLACE, V18, P46, DOI 10.1016/j.healthplace.2011.09.003
   Anguelovski I, 2018, URBAN GEOGR, V39, P458, DOI 10.1080/02723638.2017.1349987
   Unknown -, 2016, URB GREEN SPAC HLTH, V0, P0
   Baró F, 2014, AMBIO, V43, P466, DOI 10.1007/s13280-014-0507-x
   Basagaña X, 2011, EPIDEMIOLOGY, V22, P765, DOI 10.1097/EDE.0b013e31823031c5
   Burgoine T, 2015, INT J HEALTH GEOGR, V14, P0, DOI 10.1186/1476-072X-14-8
   Carmona M, 2010, PUBLIC PLACES URBAN, VSecond, P0
   Case MA, 2015, JAMA-J AM MED ASSOC, V313, P625, DOI 10.1001/jama.2014.17841
   Chaix B, 2013, HEALTH PLACE, V21, P46, DOI 10.1016/j.healthplace.2013.01.003
   Cho GH, 2011, MED SCI SPORT EXER, V43, P365, DOI 10.1249/MSS.0b013e3181ebec3c
   de Vries S, 2013, SOC SCI MED, V94, P26, DOI 10.1016/j.socscimed.2013.06.030
   Delclòs-Alió X, 2017, J TRANSP GEOGR, V65, P165, DOI 10.1016/j.jtrangeo.2017.10.016
   Dempsey N, 2012, PROG PLANN, V77, P89, DOI 10.1016/j.progress.2012.01.001
   Donaire-Gonzalez D, 2016, JMIR MHEALTH UHEALTH, V4, P0, DOI 10.2196/mhealth.5771
   Dura-Guimera A, 2003, CITIES, V20, P387, DOI 10.1016/j.cities.2003.08.004
   European Commission, 2001, LOC SUST PROF EUR CO, V0, P0
   Evenson KR, 2017, BRIT J SPORT MED, V51, P1169, DOI 10.1136/bjsports-2016-096103
   Ewing R, 2016, LANDSCAPE URBAN PLAN, V148, P80, DOI 10.1016/j.landurbplan.2015.11.012
   Fuller RA, 2009, BIOL LETTERS, V5, P352, DOI 10.1098/rsbl.2009.0010
   Garcia-Ramon MD, 2004, CITIES, V21, P215, DOI 10.1016/j.cities.2004.03.006
   Handy SL, 2002, AM J PREV MED, V23, P64, DOI 10.1016/S0749-3797(02)00475-0
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   Hipp JA, 2011, J ENVIRON PSYCHOL, V31, P421, DOI 10.1016/j.jenvp.2011.08.008
   HORTON FE, 1971, ECON GEOGR, V47, P36, DOI 10.2307/143224
   Kabisch N, 2016, ECOL INDIC, V70, P586, DOI 10.1016/j.ecolind.2016.02.029
   Kerr J, 2011, AM J PREV MED, V41, P532, DOI 10.1016/j.amepre.2011.07.017
   Koohsari MJ, 2015, HEALTH PLACE, V33, P75, DOI 10.1016/j.healthplace.2015.02.009
   Korpilo S, 2017, LANDSCAPE URBAN PLAN, V157, P608, DOI 10.1016/j.landurbplan.2016.08.005
   Kwan MP, 2012, ANN ASSOC AM GEOGR, V102, P891, DOI 10.1080/00045608.2012.687348
   Lee K, 2018, COMPUT ENVIRON URBAN, V67, P124, DOI 10.1016/j.compenvurbsys.2017.09.012
   Madanipour A, 1999, ENVIRON PLANN B, V26, P879, DOI 10.1068/b260879
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   Markevych I, 2014, ENVIRON INT, V71, P29, DOI 10.1016/j.envint.2014.06.002
   Marquet O, 2018, COMPUT HUM BEHAV, V81, P215, DOI 10.1016/j.chb.2017.12.028
   Marquet O, 2015, CITIES, V42, P258, DOI 10.1016/j.cities.2014.10.012
   Matthews SA, 2013, AM BEHAV SCI, V57, P1057, DOI 10.1177/0002764213487345
   Natural England, 2010, NAT NEARB ACC NAT GR, V0, P0
   Oktay D, 2002, CITIES, V19, P261, DOI 10.1016/S0264-2751(02)00023-9
   Pallares-Barbera Montserrat, 2011, URBANI IZZIV, V22, P122, DOI 10.5379/urbani-izziv-en-2011-22-02-005
   Pathak V, 2008, ATMOS ENVIRON, V42, P3892, DOI 10.1016/j.atmosenv.2007.12.070
   Patterson Z, 2016, TRANSPORT RES REC, V0, PP35, DOI 10.3141/2594-07
   Pauleit Stephan, 2002, URBAN FORESTRY & URBAN GREENING, V1, P83, DOI 10.1078/1618-8667-00009
   Rojas C, 2016, J TRANSP GEOGR, V57, P227, DOI 10.1016/j.jtrangeo.2016.10.012
   Ryley T, 2006, J TRANSP GEOGR, V14, P367, DOI 10.1016/j.jtrangeo.2005.10.001
   Sarkar C, 2015, LANDSCAPE URBAN PLAN, V143, P112, DOI 10.1016/j.landurbplan.2015.06.013
   Schipperijn J, 2013, URBAN FOR URBAN GREE, V12, P109, DOI 10.1016/j.ufug.2012.12.002
   Shoshany M, 2012, J ARID ENVIRON, V78, P179, DOI 10.1016/j.jaridenv.2011.10.013
   Southworth M, 2005, J URBAN PLAN DEV, V131, P246, DOI 10.1061/(ASCE)0733-9488(2005)131:4(246)
   Taylor MS, 2015, LANDSCAPE URBAN PLAN, V136, P174, DOI 10.1016/j.landurbplan.2014.12.005
   Thompson CW, 2002, LANDSCAPE URBAN PLAN, V60, P59, DOI 10.1016/S0169-2046(02)00059-2
   Toftager M, 2011, J PHYS ACT HEALTH, V8, P741, DOI 10.1123/jpah.8.6.741
   Troped PJ, 2010, AM J PREV MED, V38, P429, DOI 10.1016/j.amepre.2009.12.032
   Vallée J, 2015, URBAN STUD, V52, P338, DOI 10.1177/0042098014528393
   Van Herzele A, 2012, POPUL ENVIRON, V34, P171, DOI 10.1007/s11111-011-0153-1
   Vich G, 2017, GEOGR J, V183, P426, DOI 10.1111/geoj.12220
   Zenk SN, 2011, HEALTH PLACE, V17, P1150, DOI 10.1016/j.healthplace.2011.05.001
NR 63
TC 40
Z9 45
U1 3
U2 78
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 APR 15
PY 2019
VL 40
IS 
BP 275
EP 285
DI 10.1016/j.ufug.2018.08.008
PG 11
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban Studies
GA HX2ZR
UT WOS:000467261400029
DA 2026-05-02
ER

PT J
AU Araldi, A
   Fusco, G
AF Araldi, Alessandro
   Fusco, Giovanni
TI From the street to the metropolitan region: Pedestrian perspective in urban fabric analysis
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Urban form; urban fabric; network constrained local indicators of spatial association; Bayesian clustering; multiple fabric assessment
ID local indicators; space syntax; model; representation; dimension; areas; lines; shape
AB The urban fabric is a fundamental small-scale component of urban form. Its quantitative analysis has so far been limited either in its geographical extent or in the diversity of components analysed. Moreover, the planning approach has traditionally privileged an aerial perspective. A new approach integrating the pedestrian point of view is proposed. Spatial analysis procedures are implemented with a twofold objective: identifying urban fabrics and studying their spatial organization within a large metropolitan area. The former is achieved through multiple fabric assessment, a three-step protocol using a network-based partition of urban space: (i) a set of skeletal streetscape indicators is implemented on each spatial unit, considering different constituents of the urban fabric; (ii) spatial patterns on the street network are identified, applying geostatistical analysis to each indicator; and (iii) spatial patterns with Bayesian clustering are recombined, allowing the identification and characterization of urban fabric types and subspaces within the city. This methodology is tested on the French Riviera metropolitan area, where nine families of urban fabric are identified. Disentangling the spatial organization of urban fabrics represents the second objective of this paper: the geographical distribution of urban fabrics is investigated, applying mathematical morphology and variography while considering network-constrained topological contiguities.
C1 [Araldi, Alessandro; Fusco, Giovanni] Univ Cote dAzur, ESPACE, CNRS, Nice, France.
C3 Universite Cote d'Azur; Centre National de la Recherche Scientifique (CNRS)
RP Araldi, A (通讯作者)，Univ Cote dAzur, ESPACE, CNRS, Nice, France.
EM alessandro.araldi@univ-cotedazur.fr
FU Nice Cote d'Azur Chamber of Commerce (CIFRE) [2015/1478]; Nice Cote d'Azur Chamber of Commerce (UMR ESPACE)
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Alexander C, 1987, A NEW THEORY OF URBAN DESIGN, V0, P0
   Allain Remy, 2004, MORPHOLOGIE URBAINE: GEOGRAPHIE, V0, P0
   Unknown -, 1965, DOCTOR OF APPLIED SCIENCE THESIS, V0, P0
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Araldi A, 2016, 9TH INTERNATIONAL CONFERENCE ON INNOVATION IN URBAN AND REGIONAL PLANNING (INPUT 2016), V0, PP32, DOI 10.1016/j.landurbplan.2012.04.001
   Araldi A, 2018, LECT NOTES COMPUT SC, V10962, P251, DOI 10.1007/978-3-319-95168-3_17
   Assunçao RM, 1999, STAT MED, V18, P2147, DOI 10.1002/(SICI)1097-0258(19990830)18:16<2147::AID-SIM179>3.0.CO;2-I
   Batty M, 2007, TOWN PLAN REV, V78, P125, DOI 10.3828/tpr.78.2.3
   Benediktsson JA, 2003, IEEE T GEOSCI REMOTE, V41, P1940, DOI 10.1109/TGRS.2003.814625
   Berghauser-Pont M, 2010, SPACEMATRIX: SPACE, V0, P0
   Borie A, 1984, METHODE ANAL MORPHOL, V0, P0
   Caniggia G, 1979, LETT EDILIZIA BASE, V0, P0
   CASTEX J, 1980, LECT VILLE VERSAILLE, V0, P0
   Chaudhry O, 2008, COMPUT ENVIRON URBAN, V32, P95, DOI 10.1016/j.compenvurbsys.2007.09.001
   Conzen MRG, 1960, I BRIT GEOGRAPHERS P, V27, P0
   Dauphine A, 1988, VARIOGRAMMES STRUCTU, V0, P0
   Dubey A, 2016, LECT NOTES COMPUT SC, V9905, P196, DOI 10.1007/978-3-319-46448-0_12
   Ewing R, 2013, METR PLANN DES, V0, PP1, DOI 10.5822/978-1-61091-209-9
   FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
   Fusco G, 2018, 24TH ISUF INTERNATIONAL CONFERENCE: CITY AND TERRITORY IN THE GLOBALIZATION AGE, V0, PP1313, DOI 10.4995/ISUF2017.2017.5219
   Fusco G, 2017, REV INT GEOMAT, V27, P455, DOI 10.3166/rig.2017.00045
   Fusco G, 2016, COMPUT ENVIRON URBAN, V60, P50, DOI 10.1016/j.compenvurbsys.2016.07.011
   Gehl Jan, 2010, CITIES FOR PEOPLE, V0, P0
   Gil J, 2012, URBAN MORPHOL, V16, P27
   Graff Ph, 2013, VILLE EXCEPTION NICE, V0, P0
   Hallowell GD, 2013, J SPACE SYNTAX, V4, P74
   Hamaina R, 2013, OPENSTREETMAP GLSCIE, V0, P249
   Harvey C, 2016, PROF GEOGR, V68, P149, DOI 10.1080/00330124.2015.1065546
   Hermosilla T, 2014, COMPUT ENVIRON URBAN, V44, P68, DOI 10.1016/j.compenvurbsys.2013.12.002
   HILLIER B, 1993, ENVIRON PLANN B, V20, P29, DOI 10.1068/b200029
   Hillier B, 2007, SPACE IS MACHINE, V0, P0
   Hillier Bill, 1988, THE SOCIAL LOGIC OF SPACE, V0, P0
   Hofmeister B, 2004, URBAN MORPHOL, V8, P3
   Jacobs J, 1992, THE DEATH AND LIFE OF GREAT AMERICAN CITIES, V0, P0
   Jiang B, 2015, INT J GEOGR INF SCI, V29, P498, DOI 10.1080/13658816.2014.988715
   Kropf K, 2017, PROCEEDINGS OF 11TH SPACE SYNTAX SYMPOSIUM, V0, P165
   Larkham PJ, 2011, URBAN MORPHOL, V15, P133
   Leduc T, 2015, REV INT GEOMAT, V25, P75, DOI 10.3166/RIG.25.75-98
   Legendre P, 1998, DEVELOPMENTS IN ENVIRONMENTAL MODELLING, V24, P0
   Levy A, 2005, ESPACES ET SOCIETES, V4, P25, DOI 10.3917/ESP.122.0025
   Long N, 2005, REV INT GEOMATIQUE, V15, P487, DOI 10.3166/rig.15.487
   LONGLEY P, 1992, REG STUD, V26, P437, DOI 10.1080/00343409212331347101
   LONGLEY PA, 1991, T I BRIT GEOGR, V16, P75, DOI 10.2307/622907
   Lynch Kevin, 1964, THE IMAGE OF THE CITY, V0, P0
   Marshall S, 2012, URBAN DES INT, V17, P257, DOI 10.1057/udi.2012.22
   Muratori S, 1959, STUDI OPERANTE STORI, V0, P0
   Nguyen L, 2017, COLOR RES APPL, V42, P131, DOI 10.1002/col.22022
   Okabe A, 2012, SPATIAL ANAL NETWORK, V0, P0
   Oliveira EA, 2018, ROY SOC OPEN SCI, V5, P0, DOI 10.1098/rsos.180468
   Parr JB, 2007, URBAN STUD, V44, P381, DOI 10.1080/00420980601075059
   Porta S, 2006, ENVIRON PLANN B, V33, P705, DOI 10.1068/b32045
   Rozenfeld HD, 2008, P NATL ACAD SCI USA, V105, P18702, DOI 10.1073/pnas.0807435105
   Sevtsuk A, 2012, URBAN NETWORK ANAL T, V0, P0, DOI DOI 10.3166/RIG.22.287-305
   Sevtsuk A, 2014, J PLAN EDUC RES, V34, P374, DOI 10.1177/0739456X14550401
   Steadman Philip, 1983, ARCHITECTURAL MORPHO, V0, P0
   Talen E, 2011, J URBAN DES, V16, P127, DOI 10.1080/13574809.2011.521029
   Tannier C, 2011, GEOGR ANAL, V43, P211, DOI 10.1111/j.1538-4632.2011.00814.x
   Turner A, 2007, ENVIRON PLANN B, V34, P539, DOI 10.1068/b32067
   Vernez MoudonA, 1997, URBAN MORPHOLOGY, V1, P3, DOI 10.51347/jum.v1i1.4047
   Vialard A, 2013, TYPOLOGY BLOCK FACES, V0, P0
   Yamada I, 2010, ANN ASSOC AM GEOGR, V100, P269, DOI 10.1080/00045600903550337
   Ye Y, 2014, URBAN MORPHOL, V18, P97
NR 69
TC 83
Z9 95
U1 4
U2 102
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 15
PY 2019
VL 46
IS 7
BP 1243
EP 1263
DI 10.1177/2399808319832612
PG 21
WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies
GA IS3MP
UT WOS:000482057700004
DA 2026-05-02
ER

PT J
AU Kozlowski, W
AF Kozlowski, Wojciech
TI Application of Active Crossing for Pedestrians as a Way to Improve their Safety
SO 3RD WORLD MULTIDISCIPLINARY CIVIL ENGINEERING, ARCHITECTURE, URBAN PLANNING SYMPOSIUM (WMCAUS 2018)
LA English
DT Proceedings Paper
AB Pedestrians, as a group of road users, are directly and the most exposed to contact with vehicles. 50% of accidents involving pedestrians in every EU country is mostly caused by the wrong behaviour of the driver towards the pedestrian. 70 % of these accidents occur directly on the crosswalk resulting in more than 200 fatal victims every year. Each local government strives to eliminate the fatal victims within the area of its voivodship, municipality or community. For years the pedestrians have been main victims of the road traffic and most of them losing their lives on the crosswalks, which are supposed to be the safest location to cross the flow of vehicular traffic. According to the most recent calculations, the unit cost of fatalities is about EUR 8,500,000, the unit cost of a seriously injured person is EUR 9,700,000 and the unit cost of a slightly injured in an accident is EUR 113,000. The figures above show that the cost of construction of even 30 most innovative crosswalks that will contribute to save at least one pedestrian is a very good investment in terms of costs (if one can translate safety into money). The article aims to analyse the impact of using active crosswalks for pedestrians as an improvement of pedestrian safety. The article includes examples of design solutions from a technical point of view, as well as design guidelines for the locations of crosswalks.
C1 [Kozlowski, Wojciech] Opole Univ Technol, Dept Rd & Bridges, Fac Civil Engn & Architecture, Ul Proszkowska 76, PL-45758 Opole, Poland.
C3 Opole University of Technology
RP Kozlowski, W (通讯作者)，Opole Univ Technol, Dept Rd & Bridges, Fac Civil Engn & Architecture, Ul Proszkowska 76, PL-45758 Opole, Poland.
EM w.kozlowski@po.opole.pl
CR Unknown -, 2017, WYP DROG POLSC 2016, V0, P0
   Unknown -, 2009, OS NIEW SLAB PRZESTR, V0, P0
   Unknown -, 2018, LUM SYST FON FAKT OZ, V0, P0
   Brutkowski M, 2017, STANDARDY DOSTEPNOSC, V0, P0
   Jarmoz K, 2014, PRACA ZBIOROWA OCHRO, V0, P0
   Jazdzik-Osmolska A, 2016, WYCENA KOSZTOW WYPADKOW I KOLIZJI DROGOWYCH NA SIECI DROG W POLSCE NA KONIEC ROKU 2015, V0, P0
   Kozlowski W, 2017, IOP C SERIES MAT SCI, V245, P0
NR 7
TC 0
Z9 0
U1 0
U2 1
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1757-8981
EI 
J9 IOP CONF SER-MAT SCI
PD JUN 15
PY 2019
VL 471
IS 
BP 
EP 
DI 10.1088/1757-899X/471/3/032068
PG 8
WC Architecture; Engineering, Civil; Urban Studies
SC Architecture; Engineering; Urban Studies
GA BM5ZD
UT WOS:000465811801019
DA 2026-05-02
ER

PT J
AU Yoon, J
   Lee, C
AF Yoon, Jeongjae
   Lee, Chanam
TI Demands for Walkable Neighborhoods among Middle-aged and Older Adults: Do They Differ by Community Settings and Age Groups?
SO HOUSING POLICY DEBATE
LA English
DT Article
DE walkability; safety; residential consideration; residential choice; neighborhood environment
ID physical-activity; built environment; residential preference; socioeconomic-status; urban; walking; access; travel; affordability; behavior
AB Walkable communities are increasingly promoted for their health, social, and environmental benefits. However, the extent to which the demand or preference for walkable communities accords with various other housing demands across different populations is still questionable. Using data sets from two research projects focused on nonmetropolitan communities in Texas, this study examined to whom neighborhood walkability and safety are important when selecting a residence. It further explored environmental attributes that explained the differences in neighborhood preferences of older versus middle-age and urban versus rural home buyers. Multivariate logistic regressions showed that race/ethnicity, adiposity, personal attitudes, regional home locations, and residential experiences explained the odds of considering walkability and safety in residential selection. Environmental characteristics such as land uses, destinations, and perceived safety were differently valued among the subgroups of home buyers. Further efforts are needed to better understand diverse residential demands within the larger context of the community environment and demographic shift.
C1 [Yoon, Jeongjae; Lee, Chanam] Texas A&M Univ, Coll Architecture, Dept Landscape Architecture & Urban Planning, College Stn, TX 77843 USA.
   [Yoon, Jeongjae] KRIHS, Urban Res Div, Sejong, South Korea.
C3 Texas A&M University System; Texas A&M University College Station
RP Yoon, J (通讯作者)，Texas A&M Univ, Coll Architecture, Dept Landscape Architecture & Urban Planning, College Stn, TX 77843 USA.; Yoon, J (通讯作者)，KRIHS, Urban Res Div, Sejong, South Korea.
EM jjyoon@krihs.re.kr
FU National Institute of Health [1R01HL103478-01A1]; Scott & White Healthcare [W RGR 120803]
CR 198;r T, 2006, HOUS THEORY SOC, V23, P109, DOI 10.1080/14036090600773139
   Algert SJ, 2006, AM J PREV MED, V30, P365, DOI 10.1016/j.amepre.2006.01.009
   Unknown -, 2005, DOES BUILT ENV INFLU, V0, P0
   Arvidsson D, 2012, MED SCI SPORT EXER, V44, P280, DOI 10.1249/MSS.0b013e31822a9289
   Ball K, 2000, AUST NZ J PUBL HEAL, V24, P331, DOI 10.1111/j.1467-842X.2000.tb01579.x
   Boone-Heinonen J, 2011, PSYCHOL SPORT EXERC, V12, P54, DOI 10.1016/j.psychsport.2009.09.003
   Booth KM, 2005, J AM DIET ASSOC, V105, PS110, DOI 10.1016/j.jada.2005.02.045
   Boumeester HJFM, 2011, MEASUREMENT AND ANALYSIS OF HOUSING PREFERENCE AND CHOICE, V0, PP27, DOI 10.1007/978-90-481-8894-9_2
   Bracy NL, 2014, INT J BEHAV NUTR PHY, V11, P0, DOI 10.1186/1479-5868-11-24
   Burchell RW, 2002, COSTS SPRAWL 2000, V74, P0
   Cicirelli V, 2002, OLDER ADULTS VIEWS ON DEATH, V0, P0
   Craig CL, 2003, MED SCI SPORT EXER, V35, P1381, DOI 10.1249/01.MSS.0000078924.61453.FB
   Doescher MP, 2014, PREV MED, V69, P80, DOI 10.1016/j.ypmed.2014.08.027
   Ewing R, 2007, GROWING COOLER: THE EVIDENCE ON URBAN DEVELOPMENT AND CLIMATE CHANGE, V0, P0
   Forjuoh SN, 2017, AM J PREV MED, V52, P207, DOI 10.1016/j.amepre.2016.09.037
   Forsyth A, 2012, INT J HEALTH GEOGR, V11, P0, DOI 10.1186/1476-072X-11-14
   Foster S, 2008, PREV MED, V47, P241, DOI 10.1016/j.ypmed.2008.03.017
   Frank LD, 2007, SOC SCI MED, V65, P1898, DOI 10.1016/j.socscimed.2007.05.053
   Ge J, 2006, LANDSCAPE URBAN PLAN, V78, P165, DOI 10.1016/j.landurbplan.2005.07.004
   Gebel K, 2011, HEALTH PLACE, V17, P519, DOI 10.1016/j.healthplace.2010.12.008
   Gebel K, 2009, ANN BEHAV MED, V37, P228, DOI 10.1007/s12160-009-9098-3
   Giles-Corti B, 2002, PREV MED, V35, P601, DOI 10.1006/pmed.2002.1115
   Handy S, 2005, TRANSPORT RES D-TR E, V10, P427, DOI 10.1016/j.trd.2005.05.002
   Handy S, 2008, J AM PLANN ASSOC, V74, P209, DOI 10.1080/01944360802010418
   Herzog TR, 2001, ENVIRON BEHAV, V33, P653, DOI 10.1177/00139160121973179
   Hirt S, 2010, PROBL POST-COMMUNISM, V57, P3, DOI 10.2753/PPC1075-8216570501
   Hooker SP, 2005, PREV CHRONIC DIS, V2, P1, DOI 10.1016/S2214-109X(18)30357-7
   Jansen SJT, 2014, HOUS THEORY SOC, V31, P254, DOI 10.1080/14036096.2013.867279
   Jorgensen Anna, 2007, URBAN FORESTRY & URBAN GREENING, V6, P267, DOI 10.1016/j.ufug.2007.05.004
   Koschinsky J, 2016, HOUS POLICY DEBATE, V26, P835, DOI 10.1080/10511482.2015.1137965
   Lee C, 2004, J PLAN LIT, V19, P147, DOI 10.1177/0885412204267680
   Lee C, 2006, ANN EPIDEMIOL, V16, P387, DOI 10.1016/j.annepidem.2005.03.003
   Lee C, 2013, ANN BEHAV MED, V45, PS55, DOI 10.1007/s12160-012-9432-z
   Lees L, 2008, URBAN STUD, V45, P2449, DOI 10.1177/0042098008097099
   Liao FH, 2015, URBAN STUD, V52, P314, DOI 10.1177/0042098014527138
   Lund H, 2006, J AM PLANN ASSOC, V72, P357, DOI 10.1080/01944360608976757
   Maas J, 2009, ENVIRON PLANN A, V41, P1763, DOI 10.1068/a4196
   Martin SL, 2005, J RURAL HEALTH, V21, P239, DOI 10.1111/j.1748-0361.2005.tb00089.x
   Morrow-Jones HA, 2004, HOUS POLICY DEBATE, V15, P171
   Moudon Anne Vernez, 2006, J PHYS ACT HEALTH, V3, PS99, DOI 10.1123/jpah.3.s1.s99
   Moudon AV, 2003, AM J HEALTH PROMOT, V18, P21, DOI 10.4278/0890-1171-18.1.21
   Myers D, 2001, HOUS POLICY DEBATE, V12, P633, DOI 10.1080/10511482.2001.9521422
   Ory MG, 2016, BMC GERIATR, V16, P0, DOI 10.1186/s12877-016-0327-x
   Parks SE, 2003, J EPIDEMIOL COMMUN H, V57, P29, DOI 10.1136/jech.57.1.29
   Pivo G, 2011, REAL ESTATE ECON, V39, P185, DOI 10.1111/j.1540-6229.2010.00296.x
   Rabe-Hesketh S, 2012, MULTILEVEL LONGITUDI, V1, P0
   Rimmer JH, 2005, AM J HEALTH PROMOT, V19, P327, DOI 10.4278/0890-1171-19.5.327
   Roux AVD, 2010, ANN NY ACAD SCI, V1186, P125, DOI 10.1111/j.1749-6632.2009.05333.x
   Saelens BE, 2003, AM J PUBLIC HEALTH, V93, P1552, DOI 10.2105/AJPH.93.9.1552
   Saelens BE, 2008, MED SCI SPORT EXER, V40, PS550, DOI 10.1249/MSS.0b013e31817c67a4
   Sander W, 2005, J ECON GEOGR, V5, P351, DOI 10.1093/jnlecg/lbh061
   Schieman S, 2006, SOC PSYCHOL QUART, V69, P253, DOI 10.1177/019027250606900303
   Schulz AJ, 2006, SOC SCI MED, V62, P510, DOI 10.1016/j.socscimed.2005.06.028
   Schwanen T, 2005, TRANSPORT RES D-TR E, V10, P127, DOI 10.1016/j.trd.2004.11.002
   Schwanen T, 2005, J TRANSP GEOGR, V13, P83, DOI 10.1016/j.jtrangeo.2004.11.001
   Schwanen T, 2007, HOUS POLICY DEBATE, V18, P171, DOI 10.1080/10511482.2007.9521598
   Shaw K, 2008, GEOGR COMPASS, V2, P1697, DOI 10.1111/j.1749-8198.2008.00156.x
   Shigematsu R, 2009, MED SCI SPORT EXER, V41, P314, DOI 10.1249/MSS.0b013e318185496c
   Smart MJ, 2018, HOUS POLICY DEBATE, V28, P393, DOI 10.1080/10511482.2017.1371784
   Stewart OT, 2016, ENVIRON BEHAV, V48, P13, DOI 10.1177/0013916515612253
   Sturm R, 2004, PUBLIC HEALTH, V118, P488, DOI 10.1016/j.puhe.2004.02.007
   Talen E, 2001, J AM PLANN ASSOC, V67, P199, DOI 10.1080/01944360108976229
   Talen E, 2014, HOUS POLICY DEBATE, V24, P717, DOI 10.1080/10511482.2014.900102
   Talen E, 2010, J URBAN AFF, V32, P489, DOI 10.1111/j.1467-9906.2010.00518.x
   Tighe JR, 2016, HOUS POLICY DEBATE, V26, P785, DOI 10.1080/10511482.2015.1085426
   US Census Bureau, 2010, METR MICR STAT AR MI, V0, P0
   US Department of Housing and Urban Development, 2012, OFF SUST HOUS COMM H, V0, P0
   Van Dyck D, 2011, HEALTH PLACE, V17, P1011, DOI 10.1016/j.healthplace.2011.05.005
   Wilson DK, 2004, ANN BEHAV MED, V28, P20, DOI 10.1207/s15324796abm2801_4
   Witten K, 2011, ENVIRON PLANN A, V43, P205, DOI 10.1068/a43219
   World Health Organization, 2002, DEFINITION OF AN OLDER OR ELDERLY PERSON: PROPOSED WORKING DEFINITION OF AN OLDER PERSON IN AFRICA FOR THE MDS PROJECT, V0, P0
   Yu CY, 2015, ENVIRON BEHAV, V47, P268, DOI 10.1177/0013916513500959
NR 76
TC 3
Z9 4
U1 0
U2 31
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1051-1482
EI 2152-050X
J9 HOUS POLICY DEBATE
JI Hous. Policy Debate
PD NOV 2
PY 2019
VL 29
IS 6
BP 899
EP 930
DI 10.1080/10511482.2019.1621919
EA AUG 2019
PG 32
WC Development Studies; Urban Studies
SC Development Studies; Urban Studies
GA JW6NG
UT WOS:000480758200001
DA 2026-05-02
ER

PT J
AU Foster, A
   Newell, JP
AF Foster, Alec
   Newell, Joshua P.
TI Detroit's lines of desire: Footpaths and vacant land in the Motor City
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
ID google street view; urban; neighborhood; property; infrastructure; imaginary; geography; walking; people; city
AB Informal footpaths known as desire lines crisscross the city of Detroit and are visible from space. Despite their prevalence, especially in postindustrial cities, no comprehensive study of desire lines exists for any urban area. How extensive are these lines, how do people use them, and how are they changing over time? What is their potential to reinvigorate the fabric of neighborhoods and communities? We conducted a spatiotemporal analysis of desire lines in Detroit by combining remote sensing and spatial analysis with physical audits and interviews. Our results show that Detroit has more than 5680 of these footpaths, totaling more than 150 miles ( > 240 km). Transportation planners may value desire lines for their efficiency, reducing travel time and distance. Urban theorists and community activists, however, view desire lines as a form of resistance and reclamation of space for a public poorly served by urban institutions. The results of our mixed-methods approach demonstrate how these two perspectives can co-exist. Desire lines are creative attempts to expand urban possibilities, enhance efficiency, and reaffirm agency in increasingly regulated cities. Desire lines in Detroit, however, are rapidly disappearing. From 2010 to 2016, the Lower Eastside region of the city witnessed a 70 percent reduction in the total length of these lines. Our analysis shows that this correlates with changes in land ownership, management practices, and population dynamics. The loss of desire lines exposes the limits of informal practices and indicates the need for connections to broader relationships of power and governance. Creative engagements with the state can formalize lines and help residents realize their rights to the city.
C1 [Foster, Alec] Illinois State Univ, Dept Geog Geol & Environm, Campus Box 4400, Normal, IL 61790 USA.
   [Newell, Joshua P.] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
C3 Illinois State University; University of Michigan System; University of Michigan
RP Foster, A (通讯作者)，Illinois State Univ, Dept Geog Geol & Environm, Campus Box 4400, Normal, IL 61790 USA.
EM Alfost2@ilstu.edu; jpnewell@umich.edu
FU National Science Foundation [CBET-1444745]
CR Akers JM, 2013, URBAN GEOGR, V34, P1070, DOI 10.1080/02723638.2013.814272
   Unknown -, 2013, PRINCIPLES DESIGN 50, V0, P0
   Unknown -, 2016, ACHIEVING INTEGRATED, V0, P0
   Unknown -, 2016, AMERICAN FACTFINDER, V0, P0
   Unknown -, 2018, JEFFERSON CHALMERS N, V0, P0
   Atlas T, 2006, TELE ATLAS 2006 MAPP, V0, P0
   Barnes T, 2011, PROG HUM GEOG, V35, P712, DOI 10.1177/0309132510394978
   Bates C, 2017, WALKING THROUGH SOCIAL RESEARCH, V0, P0
   Bendiner-Viani G, 2013, ENVIRON PLANN D, V31, P708, DOI 10.1068/d17810
   Berland A, 2017, URBAN FOR URBAN GREE, V21, P11, DOI 10.1016/j.ufug.2016.11.006
   Boone CG, 2009, ANN ASSOC AM GEOGR, V99, P767, DOI 10.1080/00045600903102949
   Brownlow A, 2006, GEOFORUM, V37, P227, DOI 10.1016/j.geoforum.2005.02.009
   Bunge W, 1971, FITZGERALD GEOGRAPHY, V0, P0
   Cadogan Garnette, 2016, WALKING WHILE BLACK, V0, P0
   Clarke P, 2010, HEALTH PLACE, V16, P1224, DOI 10.1016/j.healthplace.2010.08.007
   Corcoran J, 2009, PAP REG SCI, V88, P119, DOI 10.1111/j.1435-5957.2008.00164.x
   Council DFP, 2012, DETR FOOD SYST REP 2, V0, P0
   Data Driven Detroit, 2015, ARCH TAX FOR DETR 20, V0, P0
   Data Driven Detroit, 2017, DDOT BUS STOPS, V0, P0
   Data Driven Detroit, 2015, NESHAP NOT TIED DEM, V0, P0
   Data Driven Detroit, 2014, BUS ROUT DDOT 2012, V0, P0
   Davidson K, 2012, DETROIT HAS TONS VAC, V0, P0
   Davis M, 2007, CITY READER, V0, P0
   de Certeau Michel, 1988, THE PRACTICE OF EVERYDAY LIFE, V0, P0
   Deleuze G, 1980, 1000 PLATEAUS CAPITA, V0, P0
   Dewar, 2015, CITY ABANDONMENT, V0, P0
   Edensor Tim, 2000, BODY AND SOCIETY, V6, P81, DOI 10.1177/1357034X00006003005
   Eisinger P, 2014, J URBAN AFF, V36, P1, DOI 10.1111/juaf.12071
   Esri, 2017, BUSINESS ANAL, V0, P0
   Esri, 2012, ESR BUS AN, V0, P0
   Fraser E, 2018, CULT GEOGR, V25, P441, DOI 10.1177/1474474017748508
   Gallagher John, 2010, REIMAGINING DETROIT: OPPORTUNITIES FOR REDEFINING AN AMERICAN CITY, V0, P0
   Gros Frederic, 2015, A PHILOSOPHY OF WALKING, V0, P0
   Haase D, 2014, LANDSCAPE URBAN PLAN, V132, P159, DOI 10.1016/j.landurbplan.2014.09.003
   Hackworth J, 2018, INT J URBAN REGIONAL, V42, P51, DOI 10.1111/1468-2427.12588
   Hales P, 2009, PUBLIC SPACE IDEOLOG, V0, P165
   Hall M, 2007, ARCHITEXT, V0, P1
   Hall M, 2007, ARCHITEXT, V0, P287
   Hantz Farms, 2018, WHAT WE HAV DON, V0, P0
   Harvey D, 2003, INT J URBAN REGIONAL, V27, P939, DOI 10.1111/j.0309-1317.2003.00492.x
   Harvey D, 2011, DESIRE LINES, V0, P0
   Heckert M, 2013, T GIS, V17, P808, DOI 10.1111/tgis.12000
   Herbert CW, 2018, CITY COMMUNITY, V17, P236, DOI 10.1111/cico.12275
   Hinchliffe Steve, 2006, SCI CULT-UK, V15, P123, DOI 10.1080/09505430600707988
   Horvath RJ, 1971, ANTIPODE, V3, P73
   Jiang H, 2003, HUM ECOL, V31, P215, DOI 10.1023/A:1023980713048
   Kinder Kimberley, 2016, DIY DETROIT: MAKING DO IN A CITY WITHOUT SERVICES, V0, P0
   LeDoux TF, 2013, HEALTH PLACE, V19, P1, DOI 10.1016/j.healthplace.2012.09.010
   Lee J, 2017, URBAN STUDIES, V0, P0
   Lefebvre H, 2009, STATE SPACE WORLD, V0, P0
   Lefebvre Henri, 1968, WRITINGS ON CITIES, V0, P0
   Lefer TB, 2008, PUBLIC HEALTH REP, V123, P474, DOI 10.1177/003335490812300408
   Lindquist M, 2007, OPEN HOUSE INT, V32, P17
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   Luckert E, 2012, CONSTELLATIONS, V4, P318
   Macfarlane Robert, 2012, THE OLD WAYS: A JOURNEY ON FOOT, V0, P0
   Middleton J, 2018, URBAN STUD, V55, P296, DOI 10.1177/0042098016649325
   Miller JT, 2016, URBAN FOR URBAN GREE, V19, P285, DOI 10.1016/j.ufug.2016.03.004
   Millington N, 2013, INT J URBAN REGIONAL, V37, P279, DOI 10.1111/j.1468-2427.2012.01206.x
   Mitchell Don, 2003, THE RIGHT TO THE CITY: SOCIAL JUSTICE AND THE FIGHT FOR PUBLIC SPACE, V0, P0
   Moor Robert, 2016, ON TRAILS: AN EXPLORATION, V0, P0
   Nakanishi H, 2013, J TRANSP GEOGR, V31, P181, DOI 10.1016/j.jtrangeo.2013.07.005
   Newell JP, 2013, CITIES, V31, P144, DOI 10.1016/j.cities.2012.07.004
   Nightingale AJ, 2011, GEOFORUM, V42, P153, DOI 10.1016/j.geoforum.2010.03.004
   Oda K, 2018, SUSTAINABILITY-BASEL, V10, P0, DOI 10.3390/su10041048
   Pearsall H, 2010, ENVIRON PLANN C, V28, P872, DOI 10.1068/c08126
   Pohl DG, 1997, HIST ROADS, V0, P0
   Purcell M, 2014, J URBAN AFF, V36, P141, DOI 10.1111/juaf.12034
   Quastel N, 2009, URBAN GEOGR, V30, P694, DOI 10.2747/0272-3638.30.7.694
   Reese LA, 2017, CITIES, V60, P367, DOI 10.1016/j.cities.2016.10.014
   Roy A, 2011, INT J URBAN REGIONAL, V35, P223, DOI 10.1111/j.1468-2427.2011.01051.x
   Roy C, 2013, MORE DESIRABLE LINES, V0, P0
   Rubin HJ, 2012, RUBIN, V3rd, P0
   Rundle AG, 2011, AM J PREV MED, V40, P94, DOI 10.1016/j.amepre.2010.09.034
   Safransky S, 2016, ANTIPODE, V0, P1
   Safransky S, 2018, ANN AM ASSOC GEOGR, V108, P499, DOI 10.1080/24694452.2017.1385380
   Safransky S, 2014, GEOFORUM, V56, P237, DOI 10.1016/j.geoforum.2014.06.003
   Sanborn, 2010, DETR PARC AN, V0, P0
   Scalway H, 2002, CONT FLANEUSE, V0, P0
   Schilling J, 2008, J AM PLANN ASSOC, V74, P451, DOI 10.1080/01944360802354956
   SEMCOG, 2017, ROADS, V0, P0
   Simone A, 2004, PUBLIC CULTURE, V16, P407, DOI 10.1215/08992363-16-3-407
   Sister C, 2010, GEOJOURNAL, V75, P229, DOI 10.1007/s10708-009-9303-8
   Sletto B, 2017, URBAN STUD, V54, P2360, DOI 10.1177/0042098016643475
   Smith N, 2017, URBAN STUD, V0, P1
   Solnit Rebecca, 2000, WANDERLUST: A HISTORY OF WALKING, V0, P0
   Throgmorton JamesA, 2000, DESIRE LINES : THE CHICAGO AREA TRANSPORTATION STUDY AND THE PARADOX OF SELF IN POST-WAR AMERICA. 1-1-2000. CHICAGO ESSAYS, V0, P0
   Tiessen M, 2007, RHIZOMES, V15, P1
   Tiessen M, 2007, CTHEORY, V0, P1
   Vitiello D, 2014, COMMUNITY DEV J, V49, P508, DOI 10.1093/cdj/bst087
   Warren S, 2017, SOC CULT GEOGR, V18, P786, DOI 10.1080/14649365.2016.1228113
   Wilson A, 2017, ENVIRON PLANN B, V0, P0
   Wilson J, 2017, DEMOLISH STORY ONE D, V0, P0
   Wolch J, 2010, ENVIRON PLANN A, V42, P2874, DOI 10.1068/a42259
   Wylie J, 2005, T I BRIT GEOGR, V30, P234, DOI 10.1111/j.1475-5661.2005.00163.x
NR 95
TC 17
Z9 21
U1 2
U2 39
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 SEP 15
PY 2019
VL 189
IS 
BP 260
EP 273
DI 10.1016/j.landurbplan.2019.04.009
PG 14
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public Administration; Urban Studies
GA IH2NC
UT WOS:000474330500024
DA 2026-05-02
ER

PT J
AU Zhan, XY
   Ukkusuri, SV
AF Zhan, Xianyuan
   Ukkusuri, Satish V.
TI Spatial Dependency of Urban Sprawl and the Underlying Road Network Structure
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
ID growth
AB The spatial correlation between urban sprawl and the underlying road network has long been recognized in urban studies. Accessibility to road networks is often considered an approximation for the measurement of human mobility, which is a key factor in determining potential urban sprawl in the future. Despite the close relationship between urban development and road networks, the spatial dependency of these two spatial layers has never been systematically evaluated. This study conducted a comprehensive investigation on the spatial dependency between these two spatial layers using an urban expansion data set between 2000 and 2010 of East Asian regions and the road network data from OpenStreetMap. Four Chinese cities, namely Beijing, Shanghai, Chengdu, and Shenzhen, were selected to conduct the analysis. The spatial correlations between the urban sprawl and road networks were first quantitatively analyzed using Ripley's cross-K function. Highly significant spatial correlation has been observed in all four tested cities. A Bayesian network model was also developed to verify the predictability of urban sprawl using the spatial and structural features extracted from the existing road networks as well as the spatial pattern of the past built-up areas. The results show an affirmative answer to the predictability of urban sprawl by achieving an overall accuracy of 79% in classifying urban sprawl and undeveloped areas. Finally, the hidden dependencies among the urban sprawl and the extracted spatial features were interpreted and analyzed based on the Bayesian network structure learned from the data. (C) 2019 American Society of Civil Engineers.
C1 [Zhan, Xianyuan] JD Digits, JD Intelligent City Res, Beijing 100176, Peoples R China.
   [Zhan, Xianyuan; Ukkusuri, Satish V.] Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47907 USA.
C3 Purdue University System; Purdue University
RP Ukkusuri, SV (通讯作者)，Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47907 USA.
EM zhanxianyuan@jd.com; sukkusur@purdue.edu
CR Unknown -, 2010, ANAL URBAN GROWTH SP, V0, P0
   Bishop ChristopherM, 2006, MACHINE LEARNING, V128, P9
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Cheng HQ, 2003, LANDSCAPE URBAN PLAN, V62, P199
   Chou Yue-Hong, 1997, EXPLORING SPATIAL ANALYSIS IN GEOGRAPHIC INFORMATION SYSTEMS, V0, P0
   COOPER GF, 1992, MACH LEARN, V9, P309, DOI 10.1023/A:1022649401552
   Cressie NAC, 1991, STATISTICS FOR SPATIAL DATA, V0, P0
   Dixon PM, 2002, ENCYCLOPEDIA OF ENVIRONMETRICS, V3, P1796, DOI 10.1002/9781118445112.stat07751
   Dixon PM, 2014, WILEY STATSREF: STATISTICS REFERENCE ONLINE, V0, P0
   Fregolent L, 2016, J URBAN PLAN DEV, V142, P0, DOI 10.1061/(ASCE)UP.1943-5444.0000318
   Hall M, 2009, SIGKDD EXPLORATIONS, V11, P0, DOI 10.1145/1656274.1656278
   HARVEY RO, 1965, LAND ECON, V41, P1, DOI 10.2307/3144884
   Huang Y, 2004, IEEE T KNOWL DATA EN, V16, P1472, DOI 10.1109/TKDE.2004.90
   Irwin EG, 2007, P NATL ACAD SCI USA, V104, P20672, DOI 10.1073/pnas.0705527105
   Koller Daphne, 2009, PROBABILISTIC GRAPHICAL MODELS: PRINCIPLES AND TECHNIQUES, V0, P0
   Obregón-Biosca SA, 2016, J URBAN PLAN DEV, V142, P0, DOI 10.1061/(ASCE)UP.1943-5444.0000295
   Pearl J, 2009, CAUSALITY, V0, P0, DOI DOI 10.1017/CBO9780511803161
   Schneider A, 2015, ENVIRON RES LETT, V10, P0, DOI 10.1088/1748-9326/10/3/034002
   World Bank, 2015, WORLD BANK URB SPAT, V0, P0
   Xu C, 2015, J URBAN PLAN DEV, V141, P0, DOI 10.1061/(ASCE)UP.1943-5444.0000202
   Yang XJ, 2002, PHOTOGRAMM ENG REM S, V68, P725
   Yang XJ, 2003, INT J GEOGR INF SCI, V17, P463, DOI 10.1080/1365881031000086965
   Zischg J, 2019, COMPLEXITY, V0, P0, DOI DOI 10.1155/2019/2096749
NR 23
TC 6
Z9 6
U1 2
U2 46
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 15
PY 2019
VL 145
IS 4
BP 
EP 
DI 10.1061/(ASCE)UP.1943-5444.0000526
PG 8
WC Engineering, Civil; Regional & Urban Planning; Urban Studies
SC Engineering; Public Administration; Urban Studies
GA JP0NS
UT WOS:000497969500011
DA 2026-05-02
ER

PT J
AU Hong, KY
   Tsin, PK
   van den Bosch, M
   Brauer, M
   Henderson, SB
AF Hong, Kris Y.
   Tsin, Pak Keung
   van den Bosch, Matilda
   Brauer, Michael
   Henderson, Sarah B.
TI Urban greenness extracted from pedestrian video and its relationship with surrounding air temperatures
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Air temperature; Exposure assessment; Greenness; Urban heat island; Vegetation
ID land-surface temperature; google street view; health; space
AB Urban greenness has been associated with a wide range of health benefits, partially due to local cooling. Several studies on these health benefits have assessed individual and population exposure to urban greenness using the Normalized Difference Vegetation Index (NDVI) from different satellite platforms. Recent comparisons between birds-eye NDVI and street-level measurements suggest that NDVI can severely misclassify individual exposure which, in turn, can bias epidemiologic effect estimates. Pedestrian video data may provide a novel source of individual, eye-level information on both indoor and outdoor exposure to vegetation. The objective of this pilot study was to examine the potential of pedestrian video data for assessing exposure to urban greenness using secondary data collected for a different study on microscale urban air temperatures. Image processing was used to extract green, yellow, and shaded pixels from (similar to)10 million frames of video footage collected during 40 sampling runs of 20 urban routes measuring 8-10 km each. Resulting greenness values (combined total of green, yellow, and shaded pixels) were compared with concurrent air temperatures using correlations, time series plots, and maps. Correlations ranged from -0.61 to 0.34 and were in the expected direction for 31 of 40 runs. Time series plots and overlay maps showed clear inverse relationships in many cases. Most routes originally chosen to characterize higher temperature areas had negative correlations. Flat and weakly positive relationships tended to occur when conditions were overcast or routes were closer to large waterways. Secondary data are limited for such assessments, but the methods described here are promising for future exposure assessment at the individual level and evaluation of methods applied at the population level.
C1 [Hong, Kris Y.; Henderson, Sarah B.] BC Ctr Dis Control, Environm Hlth Serv, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada.
   [Tsin, Pak Keung; van den Bosch, Matilda; Brauer, Michael; Henderson, Sarah B.] Univ British Columbia, Sch Populat & Publ Hlth, 2206 East Mall, Vancouver, BC V6T 1Z3, Canada.
C3 BC Centre for Disease Control; University of British Columbia
RP Henderson, SB (通讯作者)，BC Ctr Dis Control, Environm Hlth Serv, 655 West 12th Ave, Vancouver, BC V5Z 4R4, Canada.
CR Unknown -, 2016, VANC STREET TREES, V0, P0
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   BRADSKI G, 2008, LEARNING OPENCV, V0, P0
   Garmin, 2019, GPSMAP 78 SER, V0, P0
   Gasparrini A, 2017, LANCET PLANET HEALTH, V1, PE360, DOI 10.1016/S2542-5196(17)30156-0
   Ho HC, 2014, REMOTE SENS ENVIRON, V154, P38, DOI 10.1016/j.rse.2014.08.012
   Imhoff ML, 2010, REMOTE SENS ENVIRON, V114, P504, DOI 10.1016/j.rse.2009.10.008
   James Peter, 2015, CURR EPIDEMIOL REP, V2, P131
   Jiang B, 2017, LANDSCAPE URBAN PLAN, V157, P270, DOI 10.1016/j.landurbplan.2016.07.010
   Kloog I, 2014, REMOTE SENS ENVIRON, V150, P132, DOI 10.1016/j.rse.2014.04.024
   Kosatsky T, 2012, AM J PUBLIC HEALTH, V102, P2367, DOI 10.2105/AJPH.2012.300670
   Larkin A, 2019, J EXPO SCI ENV EPID, V29, P447, DOI 10.1038/s41370-018-0017-1
   Li XJ, 2015, URBAN FOR URBAN GREE, V14, P675, DOI 10.1016/j.ufug.2015.06.006
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Met One Instruments Inc, 2005, 0649800 MET ON INSTR, V0, P0
   MIT Senseable City LabTreepedia, 2016, EXPL GREEN CAN CIT W, V0, P0
   Nieuwenhuijsen MJ, 2017, EPIDEMIOLOGY, V28, P63, DOI 10.1097/EDE.0000000000000549
   Oke Tim, 1994, THE CLIMATE OF VANCOUVER, V0, P0
   Rugel EJ, 2017, ENVIRON RES, V159, P474, DOI 10.1016/j.envres.2017.08.033
   Rundle AG, 2011, AM J PREV MED, V40, P94, DOI 10.1016/j.amepre.2010.09.034
   Silva HR, 2010, INT J BIOMETEOROL, V54, P13, DOI 10.1007/s00484-009-0247-y
   Tsin PK, 2016, URBAN CLIM, V18, P58, DOI 10.1016/j.uclim.2016.10.001
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Vancutsem C, 2010, REMOTE SENS ENVIRON, V114, P449, DOI 10.1016/j.rse.2009.10.002
   Völker S, 2013, ERDKUNDE, V67, P355, DOI 10.3112/erdkunde.2013.04.05
   Weier J, 2019, MEASURING VEGETATION, V0, P0
   Weng QH, 2004, REMOTE SENS ENVIRON, V89, P467, DOI 10.1016/j.rse.2003.11.005
   Zhang X, 2009, INT J REMOTE SENS, V30, P2105, DOI 10.1080/01431160802549252
NR 30
TC 13
Z9 13
U1 2
U2 46
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1618-8667
EI 
J9 URBAN FOR URBAN GREE
JI Urban For. Urban Green.
PD FEB 15
PY 2019
VL 38
IS 
BP 280
EP 285
DI 10.1016/j.ufug.2019.01.008
PG 6
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban Studies
GA HN2ZK
UT WOS:000460053300028
DA 2026-05-02
ER

PT J
AU Wang, H
   Yang, YQ
AF Wang, Hao
   Yang, Yuqi
TI Neighbourhood walkability: A review and bibliometric analysis
SO CITIES
LA English
DT Review
DE Neighbourhood walkability; Community walkability; GIS; Bibliometric analysis; Review
ID body-mass index; physical-activity; built environment; older-adults; active transportation; land-use; walking; health; obesity; gis
AB Walkability is defined as the extent to which the built environment is friendly to people who walk, which benefits the health of residents and increases the liveability of cities, and studies of walkability have increasingly attracted the attention of researchers worldwide. To provide a roadmap for research on neighbourhood/community walkability, this paper critically reviews the literature on neighbourhood/community walkability studies using geographical information systems (GIS), which is an objective tool universally used in this area. The literature review covers 136 papers that were published between 2008 and 2018 and retrieved from the Web of Science Core Collection database. Firstly, a bibliometric analysis is conducted to give a general view of recent studies. Secondly, a detailed critical review is performed from three major perspectives concerning neighbourhood walkability, namely, walkability measurements, the built environment and health, and the applications of walkability. Finally, research trends and future directions are discussed. The implications include: (a) factors affecting walkability and their interactions should be investigated; (b) more accurate data need to be available for the measurement of walkability; (c) relevant research in the contexts of different countries could be expanded and compared; (d) the application of walkability could be developed in terms of depth and width.
C1 [Wang, Hao; Yang, Yuqi] Cent Univ Finance & Econ, Sch Management Sci & Engn, Beijing, Peoples R China.
C3 Central University of Finance & Economics
RP Wang, H (通讯作者)，Cent Univ Finance & Econ, Sch Management Sci & Engn, Beijing, Peoples R China.
EM holy.wong@connect.polyu.hk
FU Humanities and Social Science Fund of the Ministry of Education of China [19YJCZH154]; Beijing Social Science Fund [17GLB030]; Youth Talents Programme of the Central University of Finance and Economics [QYP1711]; Fundamental Research Funds for the Central Universities [QL18012]
CR Abley S, 2005, WALKABILITY SCOPING PAPER, V0, P0
   Adams MA, 2015, AM J PREV MED, V49, P878, DOI 10.1016/j.amepre.2015.05.024
   Aziz HMA, 2018, TRANSPORT RES C-EMER, V86, P280, DOI 10.1016/j.trc.2017.11.008
   Azmi DI, 2015, PROCD SOC BEHV, V170, P557, DOI 10.1016/j.sbspro.2015.01.057
   Badland H, 2013, INT J HEALTH GEOGR, V12, P0, DOI 10.1186/1476-072X-12-58
   Barnett DW, 2017, INT J BEHAV NUTR PHY, V14, P0, DOI 10.1186/s12966-017-0558-z
   Bastian E, 2016, PROF GEOGR, V68, P462
   Bertazzon S, 2017, INT J ENV RES PUB HE, V14, P0, DOI 10.3390/ijerph14080834
   Bird EL, 2018, BMC PUBLIC HEALTH, V18, P0, DOI 10.1186/s12889-018-5870-2
   Bracy NL, 2014, INT J BEHAV NUTR PHY, V11, P0, DOI 10.1186/1479-5868-11-24
   Burgoine T, 2015, INT J HEALTH GEOGR, V14, P0, DOI 10.1186/1476-072X-14-8
   Cao XY, 2009, TRANSPORT REV, V29, P359, DOI 10.1080/01441640802539195
   Carlson JA, 2016, HEALTH PLACE, V38, P48, DOI 10.1016/j.healthplace.2016.01.001
   Carr LJ, 2011, BRIT J SPORT MED, V45, P1144, DOI 10.1136/bjsm.2009.069609
   Carr LJ, 2010, AM J PREV MED, V39, P460, DOI 10.1016/j.amepre.2010.07.007
   Case C, 2013, APPL GEOGR, V38, P96, DOI 10.1016/j.apgeog.2012.11.012
   Charreire H, 2012, INT J BEHAV NUTR PHY, V9, P0, DOI 10.1186/1479-5868-9-59
   Chow CK, 2014, PLOS ONE, V9, P0, DOI 10.1371/journal.pone.0110042
   Clark AF, 2014, TRANSPORTATION, V41, P325, DOI 10.1007/s11116-013-9476-3
   Cubukcu E, 2015, PROCD SOC BEHV, V168, P229, DOI 10.1016/j.sbspro.2014.10.228
   Cui XZ, 2018, ECOL INDIC, V93, P704, DOI 10.1016/j.ecolind.2018.05.056
   Cunningham GO, 2004, AM J HEALTH PROMOT, V18, P435, DOI 10.4278/0890-1171-18.6.435
   Cutts BB, 2009, SOC SCI MED, V69, P1314, DOI 10.1016/j.socscimed.2009.08.020
   DHaese S, 2016, INT J BEHAV NUTR PHY, V13, P0, DOI 10.1186/s12966-016-0452-0
   DHaese S, 2014, INT J BEHAV NUTR PHY, V11, P0, DOI 10.1186/s12966-014-0104-1
   Dalton AM, 2013, PLOS ONE, V8, P0, DOI 10.1371/journal.pone.0067575
   De Meester F, 2012, BMC PUBLIC HEALTH, V12, P0, DOI 10.1186/1471-2458-12-7
   den Braver NR, 2018, BMC MED, V16, P0, DOI 10.1186/s12916-017-0997-z
   Dewulf B, 2012, INT J HEALTH GEOGR, V11, P0, DOI 10.1186/1476-072X-11-43
   Duncan DT, 2014, ENVIRON HEALTH PERSP, V122, P1359, DOI 10.1289/ehp.1307704
   Duncan DT, 2011, INT J ENV RES PUB HE, V8, P4160, DOI 10.3390/ijerph8114160
   Duncan MJ, 2010, J URBAN HEALTH, V87, P782, DOI 10.1007/s11524-010-9488-7
   Dunton GF, 2014, AM J PREV MED, V46, P136, DOI 10.1016/j.amepre.2013.10.009
   Dygryn J, 2015, INT J ENV RES PUB HE, V12, P12988, DOI 10.3390/ijerph121012988
   Dygryn J, 2010, J HUM KINET, V24, P93, DOI 10.2478/v10078-010-0025-2
   Ellis G, 2016, ENVIRON PLANN B, V43, P130, DOI 10.1177/0265813515610672
   Forsyth A, 2015, URBAN DES INT, V20, P274, DOI 10.1057/udi.2015.22
   Frank LD, 2017, INT J HEALTH GEOGR, V16, P0, DOI 10.1186/s12942-017-0077-9
   Frank LD, 2006, J AM PLANN ASSOC, V72, P75, DOI 10.1080/01944360608976725
   Frank LD, 2004, AM J PREV MED, V27, P87, DOI 10.1016/j.amepre.2004.04.011
   Frank LD, 2005, INT REGIONAL SCI REV, V28, P193, DOI 10.1177/0160017604273853
   Frumkin Howard, 2004, URBAN SPRAWL PUBLIC, V0, P0
   Gebel K, 2005, CREATING HEALTHY ENVIRONMENTS-A REVIEW OF LINKS BETWEEN THE PHYSICAL ENVIORNMENT, V0, Physical activity and obesity
   Gebel K, 2011, HEALTH PLACE, V17, P519, DOI 10.1016/j.healthplace.2010.12.008
   Gebel K, 2009, ANN BEHAV MED, V37, P228, DOI 10.1007/s12160-009-9098-3
   Gell NM, 2015, DISABIL HEALTH J, V8, P290, DOI 10.1016/j.dhjo.2014.12.002
   Giles-Corti B, 2003, AM J HEALTH PROMOT, V18, P93, DOI 10.4278/0890-1171-18.1.93
   Gose M, 2013, INT J ENV RES PUB HE, V10, P5083, DOI 10.3390/ijerph10105083
   Grasser G, 2017, EUR J PUBLIC HEALTH, V27, P145, DOI 10.1093/eurpub/ckw118
   Gullón P, 2017, INT J HEALTH GEOGR, V16, P0, DOI 10.1186/s12942-017-0095-7
   Hajna S, 2016, PLOS ONE, V11, P0, DOI 10.1371/journal.pone.0151544
   Hajna S, 2015, BMJ OPEN, V5, P0, DOI 10.1136/bmjopen-2015-008964
   Hajna S, 2015, BMC PUBLIC HEALTH, V15, P0, DOI 10.1186/s12889-015-2082-x
   Handy SL, 2002, AM J PREV MED, V23, P64, DOI 10.1016/S0749-3797(02)00475-0
   Hanibuchi T, 2011, BMC PUBLIC HEALTH, V11, P0, DOI 10.1186/1471-2458-11-657
   Harvey C, 2015, LANDSCAPE URBAN PLAN, V142, P18, DOI 10.1016/j.landurbplan.2015.05.007
   Heath Gregory W, 2006, J PHYS ACT HEALTH, V3, PS55, DOI 10.1123/jpah.3.s1.s55
   Hill JL, 2012, INT J BEHAV NUTR PHY, V9, P0, DOI 10.1186/1479-5868-9-105
   Hinckson E, 2017, INT J BEHAV NUTR PHY, V14, P0, DOI 10.1186/s12966-017-0597-5
   Hinckson E, 2017, BMJ OPEN, V7, P0, DOI 10.1136/bmjopen-2017-016128
   Hinckson EA, 2014, BMJ OPEN, V4, P0, DOI 10.1136/bmjopen-2013-004475
   Hirsch JA, 2016, ENVIRON BEHAV, V48, P55, DOI 10.1177/0013916515607312
   Hurvitz PM, 2014, PREV MED, V69, P181, DOI 10.1016/j.ypmed.2014.08.034
   James P, 2015, ENVIRON RES, V142, P703, DOI 10.1016/j.envres.2015.09.005
   Kim HJ, 2016, J PHYS ACT HEALTH, V13, P481, DOI 10.1123/jpah.2015-0221
   Lee IM, 2008, MED SCI SPORT EXER, V40, PS512, DOI 10.1249/MSS.0b013e31817c65d0
   Lee KY, 2014, INT J ENV RES PUB HE, V11, P12594, DOI 10.3390/ijerph111212594
   Lee SM, 2017, ENVIRON BEHAV, V49, P136, DOI 10.1177/0013916515623823
   Leslie E, 2007, HEALTH PLACE, V13, P111, DOI 10.1016/j.healthplace.2005.11.001
   Li FZ, 2009, PREV MED, V48, P237, DOI 10.1016/j.ypmed.2009.01.005
   Lovasi GS, 2013, PREV MED, V57, P189, DOI 10.1016/j.ypmed.2013.05.012
   Lovasi GS, 2012, AM J PREV MED, V43, P378, DOI 10.1016/j.amepre.2012.06.018
   Lwin KK, 2011, COMPUT ENVIRON URBAN, V35, P408, DOI 10.1016/j.compenvurbsys.2011.05.002
   Macdonald L, 2016, BMC PUBLIC HEALTH, V16, P0, DOI 10.1186/s12889-016-2994-0
   Malambo P, 2016, PLOS ONE, V11, P0, DOI 10.1371/journal.pone.0166846
   Marshall JD, 2009, ENVIRON HEALTH PERSP, V117, P1752, DOI 10.1289/ehp.0900595
   McCormack G, 2004, J SCI MED SPORT, V7, P81, DOI 10.1016/S1440-2440(04)80282-2
   Moran M, 2016, J TRANSP LAND USE, V9, P43, DOI 10.5198/jtlu.2015.556
   Moran MR, 2017, INT J ENV RES PUB HE, V14, P0, DOI 10.3390/ijerph14060607
   Naharudin N, 2017, 2017 EUROPEAN NAVIGATION CONFERENCE (ENC 2017), V0, PP75, DOI 10.1109/EURONAV.2017.7954195
   Norman GJ, 2013, AM J HEALTH BEHAV, V37, P277, DOI 10.5993/AJHB.37.2.15
   Nyunt MSZ, 2015, INT J BEHAV NUTR PHY, V12, P0, DOI 10.1186/s12966-015-0276-3
   Owen N, 2007, AM J PREV MED, V33, P387, DOI 10.1016/j.amepre.2007.07.025
   Portegijs E, 2017, INT J ENV RES PUB HE, V14, P0, DOI 10.3390/ijerph14030333
   Pucher J, 2010, AM J PUBLIC HEALTH, V100, P1986, DOI 10.2105/AJPH.2009.189324
   Reis RS, 2013, AM J PREV MED, V45, P269, DOI 10.1016/j.amepre.2013.04.020
   Rigolon A, 2017, LANDSCAPE URBAN PLAN, V165, P73, DOI 10.1016/j.landurbplan.2017.05.007
   Saelens BE, 2008, MED SCI SPORT EXER, V40, PS550, DOI 10.1249/MSS.0b013e31817c67a4
   Sallis JF, 2004, TRANSPORT RES A-POL, V38, P249, DOI 10.1016/j.tra.2003.11.003
   Salvo G, 2018, INT J ENV RES PUB HE, V15, P0, DOI 10.3390/ijerph15050897
   Sarkar C, 2013, BMC PUBLIC HEALTH, V13, P0, DOI 10.1186/1471-2458-13-695
   Southworth M, 2005, J URBAN PLAN DEV, V131, P246, DOI 10.1061/(ASCE)0733-9488(2005)131:4(246)
   Southworth M, 1997, J AM PLANN ASSOC, V63, P28, DOI 10.1080/01944369708975722
   SOUTHWORTH M, 1993, J AM PLANN ASSOC, V59, P271, DOI 10.1080/01944369308975880
   SOUTHWORTH M, 1995, J AM PLANN ASSOC, V61, P65, DOI 10.1080/01944369508975620
   Spoon S, 2005, WHAT DEFINES WALKABI, V0, P0
   Taleai M, 2018, KSCE J CIV ENG, V22, P279, DOI 10.1007/s12205-017-2538-x
   Todd M, 2016, PREV MED, V93, P57, DOI 10.1016/j.ypmed.2016.09.019
   Van Dyck D, 2013, INT J BEHAV NUTR PHY, V10, P0, DOI 10.1186/1479-5868-10-108
   Van Holle V, 2014, INT J BEHAV NUTR PHY, V11, P0, DOI 10.1186/s12966-014-0110-3
   Wang Y, 2016, CITIES, V50, P1, DOI 10.1016/j.cities.2015.08.004
   Wen M, 2012, HEALTH PLACE, V18, P1314, DOI 10.1016/j.healthplace.2012.09.002
   Wu YT, 2016, J AGING PHYS ACTIV, V24, P599, DOI 10.1123/japa.2015-0241
   Yin L, 2017, COMPUT ENVIRON URBAN, V64, P288, DOI 10.1016/j.compenvurbsys.2017.04.001
   Zandieh R, 2017, INT J ENV RES PUB HE, V14, P0, DOI 10.3390/ijerph14070740
   Zhu XM, 2008, AM J PREV MED, V34, P282, DOI 10.1016/j.amepre.2008.01.024
NR 106
TC 219
Z9 256
U1 33
U2 545
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 15
PY 2019
VL 93
IS 
BP 43
EP 61
DI 10.1016/j.cities.2019.04.015
PG 19
WC Urban Studies
SC Urban Studies
GA JA9AR
UT WOS:000488142900004
DA 2026-05-02
ER

PT J
AU Lakhotia, S
   Rao, KR
   Tiwari, G
AF Lakhotia, Sneha
   Rao, K. Ramachandra
   Tiwari, Geetam
TI Accessibility of Bus Stops for Pedestrians in Delhi
SO JOURNAL OF URBAN PLANNING AND DEVELOPMENT
LA English
DT Article
AB Walking, including access trips to public transport (PT), constitutes approximately 60% of commute trips in urban India. However, the quality of pedestrian infrastructure remains poor in Indian cities, leading to inconvenience and high risk to pedestrians. To assess this quality, pedestrian accessibility audits were conducted around 360 bus stops in Delhi. To ensure representativeness, bus stops were selected based on multicriteria stratified sampling, with the following three criteria: relative risk of pedestrian fatality, socioeconomic variables, and distance from city center. The Public Transport Accessibility (PTA) toolkit was used, which has a specific checklist of measurable definitions for rating the access indicators. PTA scores for pedestrian accessibility were predominantly low across Delhi. There was significant spatial clustering of the scores, indicating spatial disparity in the quality of pedestrian infrastructure, which was found to be in tandem with the spatial disparity of income levels. The authors advocate that this toolkit can be used effectively by city authorities and policymakers to undertake location- and indicator-specific improvements in pedestrian infrastructure around PT stops. This toolkit is pertinent for Indian cities, because virtual streetscape audit tools are not currently available.
C1 [Lakhotia, Sneha; Rao, K. Ramachandra; Tiwari, Geetam] Indian Inst Technol Delhi, Transportation Res & Injury Prevent Programme, Dept Civil Engn, New Delhi 110016, India.
C3 Indian Institute of Technology Delhi
RP Lakhotia, S (corresponding author), Indian Inst Technol Delhi, Transportation Res & Injury Prevent Programme, Dept Civil Engn, New Delhi 110016, India.
NR 0
TC 0
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 15
PY 2019
VL 145
IS 4
BP 
EP 
DI 10.1061/(ASCE)UP.1943-5444.0000525
PG 11
WC Engineering, Civil; Regional & Urban Planning; Urban Studies
SC Engineering; Public Administration; Urban Studies
UT 
ER

PT J
AU Omer, I
   Kaplan, N
AF Omer, Itzhak
   Kaplan, Nir
TI Structural properties of the angular and metric street network's centralities and their implications for movement flows
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Urban movement; street network structure; distance type; space syntax; agent-based model
ID space syntax; route choice; urban
AB The street network's angular centralities have been found more suitable than metric centralities for explaining the observed pedestrian and vehicle movement flows in various urban areas. Some studies relate this state to 'network effects' - outcomes of the underlying street network structure. However, we have yet to be ascertained how 'network effects' work and why angular centralities are superior to metric centralities for modeling movement in the network. The aim of this article is to clarify this issue. The investigation entailed analysis of the street network centralities and movement flows obtained through agent-based simulations conducted for two cities that differ in the pattern and size of their street networks. The findings indicate that the correlations between street network centralities and simulated movement flows, and the superiority of angular centralities in this respect, can be affected by two network's interrelated structural properties: (i) agents who calculate the shortest paths by means of metric distance pass through street segments with relatively high angular Betweenness more often than do agents who calculate the shortest paths by means of angular distance pass through street segments with a relatively high metric Betweenness; and (ii) the angular foreground sub-network (street segments in which Betweenness and Closeness values increase significantly across spatial scale) is relatively more prominent and fits the simulated movement flows better than do the metric foreground sub-networks. These structural properties are found to be nearly identical in both study cities.
C1 [Omer, Itzhak] Tel Aviv Univ, Dept Geog & Human Environm, Urban & Social Geog, Tel Aviv, Israel.
   [Omer, Itzhak] Tel Aviv Univ, Urban Space Anal Lab, Tel Aviv, Israel.
   [Kaplan, Nir] Tel Aviv Univ, Porter Sch Environm Studies, Tel Aviv, Israel.
   [Kaplan, Nir] Tel Aviv Univ, Urban Space Anal Lab, Dept Geog & Human Environm, Tel Aviv, Israel.
C3 Tel Aviv University; Tel Aviv University; Tel Aviv University; Tel Aviv University
RP Omer, I (通讯作者)，Tel Aviv Univ, Sch Geosci, Fac Exact Sci, Dept Geog & Human Environm, Tel Aviv, Israel.
EM omery@post.tau.ac.il
CR Unknown -, 2013, COMP STUDY SET SPACE, V0, P0
   Unknown -, 2009, P 7 INT SPAC SYNT S, V0, P0
   Batty M, 2003, INT J GEOGR INF SCI, V17, P673, DOI 10.1080/1365881031000135474
   Batty M, 2001, ENVIRON PLANN B, V28, P321, DOI 10.1068/b2803ed
   Chan SHY, 2011, EUR PHYS J B, V84, P563, DOI 10.1140/epjb/e2011-10889-3
   Dalton RC, 2003, ENVIRON BEHAV, V35, P107, DOI 10.1177/0013916502238867
   Desyllas J, 2003, CASA WORKING PAPERS, V62, P0
   Golledge RG, 1995, SPATIAL INFORM THEOR, V988, P182
   HILLIER B, 1993, ENVIRON PLANN B, V20, P29, DOI 10.1068/b200029
   Hillier B, 2005, LECT NOTES COMPUT SC, V3693, P475
   Hillier B, 2012, ENVIRON PLANN B, V39, P12, DOI 10.1068/b34047t
   Jayasinghe A, 2015, INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING, V5, P134, DOI 10.7708/ijtte.2015.5(2).05
   Jiang B, 2007, PHYSICA A, V384, P647, DOI 10.1016/j.physa.2007.05.064
   Jiang B, 2011, INT J GEOGR INF SCI, V25, P51, DOI 10.1080/13658811003712864
   Johnson J, 2013, HYPERNETWORKS IN THE SCIENCE OF COMPLEX SYSTEMS, V0, P978
   Lage Alvim Serra M, 2017, P 11 INT SPAC SYNT S, V0, P0
   Manley EJ, 2015, TRANSPORT RES C-EMER, V56, P195, DOI 10.1016/j.trc.2015.03.020
   Marcus L, 2015, P 10 INT SPAC SYNT S, V0, P0
   Marshall S, 2005, STREETS AND PATTERNS, V0, P0
   Omer I, 2017, COMPUT ENVIRON URBAN, V64, P57, DOI 10.1016/j.compenvurbsys.2017.01.007
   Omer I, 2015, COMPUT ENVIRON URBAN, V54, P219, DOI 10.1016/j.compenvurbsys.2015.08.005
   Omer I, 2015, INT J GEOGR INF SCI, V29, P2121, DOI 10.1080/13658816.2015.1063638
   Penn A, 2003, ENVIRON BEHAV, V35, P30, DOI 10.1177/0013916502238864
   Pont Meta Berghauser, 2015, P 10 INT SPACE SYNTA, V0, P0
   Salingaros NA, 2005, PRINCIPLES URBAN STR, V0, P0
   Torrens PM, 2012, COMPUT ENVIRON URBAN, V36, P1, DOI 10.1016/j.compenvurbsys.2011.07.005
   Turner A, 2009, LECT NOTES COMPUT SC, V5756, P489, DOI 10.1007/978-3-642-03832-7_30
   Wilensky Uri, 1999, NETLOGO, V0, P0
NR 28
TC 14
Z9 16
U1 1
U2 19
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 JUL 15
PY 2019
VL 46
IS 6
BP 1182
EP 1200
DI 10.1177/2399808318760571
PG 19
WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies
GA IK4AD
UT WOS:000476528600012
DA 2026-05-02
ER

PT J
AU Zuniga-Teran, AA
   Stoker, P
   Gimblett, RH
   Orr, BJ
   Marsh, SE
   Guertin, DP
   Chalfoun, NV
AF Zuniga-Teran, Adriana A.
   Stoker, Philip
   Gimblett, Randy H.
   Orr, Barron J.
   Marsh, Stuart E.
   Guertin, David P.
   Chalfoun, Nader V.
TI Exploring the influence of neighborhood walkability on the frequency of use of greenspace
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
ID physical-activity; response rates; space; health; community; exposure; benefits; impact; city; size
AB The use of greenspace has been linked to multiple wellbeing benefits, however there are many factors that influence whether or not residents visit greenspace. In this study, we explore the factors that influence the frequency of greenspace visitation, with a focus on perceptions of walkability, travel mode, and proximity to greenspace. We use a questionnaire to capture perceptions and behaviors of residents (N = 309) and greenspace users (N = 103) in Tucson, Arizona. We estimated binary logistic regression models to identify predictors of daily, weekly, monthly, and yearly visits to greenspace. Results suggest that perceptions of walkability, along with mode of travel, and proximity to greenspace are associated with the frequency of use of greenspace. Walkability elements that were found to influence the probability of greenspace visitation include perceptions of traffic safety (pedestrian and biking infrastructure), surveillance (the extent to which people inside buildings can see pedestrians on the street), and community (spaces that allow social interaction). This study provides empirical evidence to support policies that will improve walkability in neighborhoods so that public health goals of increasing physical activity and wellbeing are achieved.
C1 [Zuniga-Teran, Adriana A.; Stoker, Philip] Univ Arizona, Sch Landscape Architecture & Planning, Tucson, AZ USA.
   [Zuniga-Teran, Adriana A.] Univ Arizona, Udall Ctr Studies Publ Policy, 803 E First St, Tucson, AZ 85719 USA.
   [Gimblett, Randy H.; Orr, Barron J.; Marsh, Stuart E.; Guertin, David P.] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ USA.
   [Chalfoun, Nader V.] Univ Arizona, Sch Architecture, Tucson, AZ USA.
C3 University of Arizona; University of Arizona; University of Arizona; University of Arizona
RP Zuniga-Teran, AA (通讯作者)，Univ Arizona, Udall Ctr Studies Publ Policy, 803 E First St, Tucson, AZ 85719 USA.
EM aazunigat@email.arizona.edu; philipstoker@email.arizona.edu; gimblett@ag.arizona.edu; smarsh@email.arizona.edu; dpg@email.arizona.edu; chalfoun@email.arizona.edu
FU CONACYT (Mexican government); Wilderness Society; University of Arizona; Lloyd's Register Foundation; Inter American Institute for Global Change Research (IAI) [CRN3056]; National Science Foundation [GEO-1128040]
CR Ambrey CL, 2016, PUBLIC HEALTH, V133, P38, DOI 10.1016/j.puhe.2015.11.013
   Aziz NAA, 2018, INT J BUS SOC, V19, P1
   Barton H, 2003, SHAPING NEIGHBORHOODS- A GUIDE FOR HEALTH, V0, P0
   Cerin E, 2013, BMC PUBLIC HEALTH, V13, P0, DOI 10.1186/1471-2458-13-309
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Conniff A, 2016, URBAN FOR URBAN GREE, V19, P103, DOI 10.1016/j.ufug.2016.06.019
   Coombes E, 2010, SOC SCI MED, V70, P816, DOI 10.1016/j.socscimed.2009.11.020
   Coon JT, 2011, ENVIRON SCI TECHNOL, V45, P1761, DOI 10.1021/es102947t
   Ewing R, 2009, J URBAN DES, V14, P65, DOI 10.1080/13574800802451155
   Fleming CB, 2013, FIELD METHOD, V25, P388, DOI 10.1177/1525822X12466888
   Francis J, 2012, J ENVIRON PSYCHOL, V32, P401, DOI 10.1016/j.jenvp.2012.07.002
   Frank LD, 2010, BRIT J SPORT MED, V44, P924, DOI 10.1136/bjsm.2009.058701
   Giles-Corti B, 2005, AM J PREV MED, V28, P169, DOI 10.1016/j.amepre.2004.10.018
   Grow HM, 2008, MED SCI SPORT EXER, V40, P2071, DOI 10.1249/MSS.0b013e3181817baa
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   Herrick C, 2009, ENVIRON PLANN A, V41, P2437, DOI 10.1068/a41309
   Hilisdon M, 2006, PUBLIC HEALTH, V120, P1127, DOI 10.1016/j.puhe.2006.10.007
   Hoehner CM, 2005, AM J PREV MED, V28, P105, DOI 10.1016/j.amepre.2004.10.023
   Hordyk SR, 2015, HEALTH PLACE, V34, P74, DOI 10.1016/j.healthplace.2015.03.016
   Jackson R, 1996, J CLIN EPIDEMIOL, V49, P1441, DOI 10.1016/0895-4356(95)00047-X
   Liu HX, 2017, J CLEAN PROD, V163, PS181, DOI 10.1016/j.jclepro.2015.09.012
   McCormack GR, 2014, BMC PUBLIC HEALTH, V14, P0, DOI 10.1186/1471-2458-14-962
   McLemore M, 2011, PIMA COUNTYS URBAN L, V0, P0
   Menard S, 2009, LOGISTIC REGRESSION, V0, P0, DOI DOI 10.4135/9781483348964
   Moura F, 2017, LANDSCAPE URBAN PLAN, V157, P282, DOI 10.1016/j.landurbplan.2016.07.002
   Mowen Andrew, 2007, J PHYS ACT HEALTH, V4, P167
   Mytton OT, 2012, HEALTH PLACE, V18, P1034, DOI 10.1016/j.healthplace.2012.06.003
   Parsons NL, 2014, FIELD METHOD, V26, P191, DOI 10.1177/1525822X13500120
   Porter SR, 2006, RES HIGH EDUC, V47, P229, DOI 10.1007/s11162-005-8887-1
   Reid RER, 2017, OBES SURG, V27, P1589, DOI 10.1007/s11695-016-2494-4
   Rupprecht CDD, 2015, LANDSCAPE URBAN PLAN, V143, P205, DOI 10.1016/j.landurbplan.2015.07.003
   Sandifer PA, 2015, ECOSYST SERV, V12, P1, DOI 10.1016/j.ecoser.2014.12.007
   Schindler M, 2018, URBAN FOR URBAN GREE, V31, P169, DOI 10.1016/j.ufug.2018.02.009
   Shan XZ, 2014, APPL GEOGR, V51, P26, DOI 10.1016/j.apgeog.2014.03.006
   SULLIVAN DA, 1982, RES AGING, V4, P159, DOI 10.1177/0164027582004002002
   Twohig-Bennett C, 2018, ENVIRON RES, V166, P628, DOI 10.1016/j.envres.2018.06.030
   Ward JS, 2016, HEALTH PLACE, V40, P44, DOI 10.1016/j.healthplace.2016.04.015
   Willemse L, 2015, SOME PERCEPTIONS PRE, V16, P0
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wolff D, 2011, INT J ENV RES PUB HE, V8, P579, DOI 10.3390/ijerph8020579
   Yuan YH, 2017, SUSTAINABILITY-BASEL, V9, P0, DOI 10.3390/su9091552
   Zhang S, 2018, LANDSCAPE URBAN PLAN, V180, P27, DOI 10.1016/j.landurbplan.2018.08.004
   Zuniga-Teran A, 2016, FRONTIERS ARCHITECTU, V6, P66
   Zuniga-Teran AA, 2019, SUSTAINABILITY-BASEL, V11, P0, DOI 10.3390/su11113055
   Zuniga-Teran AA, 2017, INT J ENV RES PUB HE, V14, P0, DOI 10.3390/ijerph14010076
   Zuniga-Teran AA, 2016, FRONT ARCHIT RES, V5, P433, DOI 10.1016/j.foar.2016.09.004
NR 46
TC 59
Z9 67
U1 9
U2 103
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 15
PY 2019
VL 190
IS 
BP 
EP 
DI 10.1016/j.landurbplan.2019.103609
PG 12
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public Administration; Urban Studies
GA IW3HL
UT WOS:000484871000026
DA 2026-05-02
ER

PT J
AU Sousa, A
   Santos, B
   Goncalves, J
AF Sousa, Adriana
   Santos, Bertha
   Goncalves, Jorge
TI Pedestrian Environment Quality Assessment in Portuguese Medium-Sized Cities
SO 3RD WORLD MULTIDISCIPLINARY CIVIL ENGINEERING, ARCHITECTURE, URBAN PLANNING SYMPOSIUM (WMCAUS 2018)
LA English
DT Proceedings Paper
AB The features of pedestrian spaces contribute to sustainable urban mobility and consequently to improve the quality of the built environment. A pedestrian space free of obstacles, with slight slopes, continuous, agreeable, attractive and safe, is definitely a space that invites to enjoyment and socialization. With the aim of improving the pedestrian circulation conditions, the present paper describes a set of approaches for assessing the quality of pedestrian environment and presents an adapted approach that can be used in medium-sized cities. Land use, pedestrian facilities and road/traffic attributes are the most common topics addressed in the pedestrian environment evaluation. These attributes can be expressed in scores and their spatial distribution can be represented using Geographical Information Systems (GIS), supporting the decision making process of pedestrian system improvement. For Portuguese medium-sized cities, the Pedestrian Environmental Quality Index (PEQI) was adapted and tested through a case study in Covilha city. The main steps of the methodology include the definition of relevant data, preparation of survey forms, training of data collection teams, data collection, database organization, PEQI calculation and GIS data visualization, management and maps production. The case study focused on the areas that have a significant pedestrian flow, either because of commercial, services and recreation activities, or because they are important links of the public transport system. As main findings, it was possible to conclude that the selected approach allows a great flexibility in the incorporation of new attributes and weights according to specific technical goals and scenarios (calibration).
C1 [Sousa, Adriana; Santos, Bertha; Goncalves, Jorge] Univ Beira Interior, Dept Civil Engn & Architecture, Calcada Fonte do Lameiro, P-6200358 Covilha, Portugal.
   [Santos, Bertha] Univ Beira Interior, CERIS CESUR, P-6200358 Covilha, Portugal.
   [Goncalves, Jorge] Univ Beira Interior, CITTA, P-6200358 Covilha, Portugal.
C3 Universidade da Beira Interior; Universidade da Beira Interior; Universidade da Beira Interior
RP Santos, B (通讯作者)，Univ Beira Interior, Dept Civil Engn & Architecture, Calcada Fonte do Lameiro, P-6200358 Covilha, Portugal.
EM bsantos@ubi.pt
CR Asadi-Shekari Z, 2015, SAFETY SCI, V0, P0
   Clifton K, 2007, LANDSCAPE URBAN PLAN, V0, P0
   Latif ZA, 2012, 2012 IEEE 8TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS, V0, PP383, DOI 10.1109/CSPA.2012.6194754
   Litman TA, 2017, EC VALUE WALKABILITY, V0, P0
   Livi A, 2004, PEDESTRIAN ENV DATA, V0, P0
   Meeder M, 2017, TRANSP RES PROC, V27, P141, DOI 10.1016/j.trpro.2017.12.095
   Sousa A, 2016, EVALUATION PEDESTRIA, V0, P0
   TRB, 2010, HCM2010 HIGHW CAP MA, V3, P0
   UCLA, 2013, PEQI FULL PROT, V0, P0
NR 11
TC 10
Z9 11
U1 0
U2 9
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1757-8981
EI 
J9 IOP CONF SER-MAT SCI
PD JUN 15
PY 2019
VL 471
IS 
BP 
EP 
DI 10.1088/1757-899X/471/6/062033
PG 10
WC Architecture; Engineering, Civil; Urban Studies
SC Architecture; Engineering; Urban Studies
GA BM5ZD
UT WOS:000465811802084
DA 2026-05-02
ER

PT J
AU Taylor, M
   Thompson, S
AF Taylor, Michael
   Thompson, Susan
TI An Analysis of Active Transport in Melbourne: Baseline Activity for Assessment of Low Carbon Mobility Interventions
SO URBAN POLICY AND RESEARCH
LA English
DT Article
DE Active transport; car-dependent city; walking; cycling; household travel survey
ID population health; walking; city
AB This paper analyses current active transport usage in a car-dependent metropolis using household travel survey data. A major conclusion emerges: most people and households did not undertake any reportable active transport usage, despite increasing policy support, education and promotion encouraging uptake. Less than a quarter of the population recorded travel on foot and just over 2% by bicycle, although there are differences by gender and age. There are important implications for policy development and urban design interventions aimed at encouraging greater use of the active modes. This research shows we still have some way to go to achieve the levels of active transport uptake necessary for the creation of environmentally sustainable and healthy communities.
C1 [Taylor, Michael] Univ South Australia, Sch Nat & Built Environm, Transport Planning, Adelaide, SA, Australia.
   [Thompson, Susan] Univ NSW, Fac Built Environm, City Futures Res Ctr, Sydney, NSW, Australia.
C3 Adelaide University; University of South Australia; University of New South Wales Sydney
RP Taylor, M (通讯作者)，Univ South Australia, Sch Nat & Built Environm, Transport Planning, Adelaide, SA, Australia.
EM map.taylor@unisa.edu.au
FU CRC for Low Carbon Living [RP2015]
CR Unknown -, 2015, STAT AUSTR CIT 2014, V0, P0
   BITRE, 2015, TRAFFIC CONGESTION C, V0, P0
   Cole Rachel, 2006, J PHYS ACT HEALTH, V3, P164, DOI 10.1123/jpah.3.2.164
   DEJTR, 2016, VISTA ONL, V0, P0
   Giles-Corti B, 2016, LANCET, V388, P2912, DOI 10.1016/S0140-6736(16)30066-6
   Givoni Moshe, 2013, MOVING TOWARDS LOW CARBON MOBILITY, V0, P0
   JONES PM, 1979, ENVIRON PLANN A, V11, P59, DOI 10.1068/a110059
   Kent JL, 2018, URBAN POLICY RES, V36, P20, DOI 10.1080/08111146.2017.1299704
   Mackett RL, 2013, TRANSPORT POLICY, V26, P66, DOI 10.1016/j.tranpol.2012.01.002
   Mackie H, 2010, ROAD TRANSP RES, V19, P54
   Morency C, 2011, TRANSPORT POLICY, V18, P800, DOI 10.1016/j.tranpol.2011.03.010
   Negron-Poblete P, 2014, JOURNAL OF URBANISM: INTERNATIONAL RESEARCH ON PLACEMAKING AND URBAN SUSTAINABILITY, V9, P51, DOI 10.1080/17549175.2014.990916
   Ogilvie D, 2004, BMJ-BRIT MED J, V329, P763, DOI 10.1136/bmj.38216.714560.55
   Plaut PO, 2005, TRANSPORT RES D-TR E, V10, P347, DOI 10.1016/j.trd.2005.04.002
   Pucher J, 2011, AM J PUBLIC HEALTH, V101, PS310, DOI 10.2105/AJPH.2010.300067
   Pucher J, 2010, AM J PUBLIC HEALTH, V100, P1986, DOI 10.2105/AJPH.2009.189324
   Sallis JF, 2016, LANCET, V387, P2207, DOI 10.1016/S0140-6736(15)01284-2
   Sallis JF, 2015, INT J BEHAV NUTR PHY, V12, P0, DOI 10.1186/s12966-015-0188-2
   Stevenson M, 2016, LANCET, V388, P2925, DOI 10.1016/S0140-6736(16)30067-8
   Tudor-Locke Catrine, 2005, INT J BEHAV NUTR PHYS ACT, V2, P5, DOI 10.1186/1479-5868-2-5
   Wasfi RA, 2013, HEALTH PLACE, V23, P18, DOI 10.1016/j.healthplace.2013.04.006
   Zmud J, 2013, TRANSPORT SURVEY METHODS: BEST PRACTICE FOR DECISION MAKING, V0, P1
NR 22
TC 3
Z9 3
U1 0
U2 23
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0811-1146
EI 1476-7244
J9 URBAN POLICY RES
JI Urban Policy Res.
PD JAN 2
PY 2019
VL 37
IS 1
BP 62
EP 81
DI 10.1080/08111146.2018.1437031
PG 20
WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies
GA HW0HR
UT WOS:000466362000005
DA 2026-05-02
ER

PT J
AU Annunziata, A
   Pisano, C
AF Annunziata, Alfonso
   Pisano, Carlo
TI The Myth of Pedestrianisation or the Reasons of Hierarchy
SO NEW METROPOLITAN PERSPECTIVES: LOCAL KNOWLEDGE AND INNOVATION DYNAMICS TOWARDS TERRITORY ATTRACTIVENESS THROUGH THE IMPLEMENTATION OF HORIZON/E2020/AGENDA2030, VOL 2
LA English
DT Proceedings Paper
DE Hierarchy; Arteriality; Constitution; Configuration; Network
ID emergence
AB The rediscovery of the functional and symbolic role of environmental networks, cycling and pedestrian paths, and open spaces, particularly in the urban realm, leads to an increasing sensitivity to the discontinuity of territories generated by the main mobility networks. Thus, an instance of domestication emerges, resulting in transformation strategies of large mobility infrastructures - or their portions - into multi-functional pedestrian spaces. However, pedestrianisation interventions have not been completely defined within a theoretical system that clearly establishes modes and conditions of implementation. This article aims to point out how the conditions of hierarchy constitute a supporting tool for controlling and verifying the project of pedestrianisation. The article focuses on a concrete case of modification of an urban road network: the transformation of a portion of an important distributor road in the urban area of Cagliari into a pedestrian space. This analysis uses the fundamental conditions of hierarchy as a tool to assess to what extent the modification of the road network articulation has resulted in conditions of lesser inter-connectivity, legibility and functionality.
C1 [Annunziata, Alfonso] Univ Cagliari, I-09124 Cagliari, Italy.
   [Pisano, Carlo] Univ Florence, I-50121 Florence, Italy.
C3 University of Cagliari; University of Florence
RP Annunziata, A (通讯作者)，Univ Cagliari, I-09124 Cagliari, Italy.
EM tutoralfannunziata@gmail.com
CR Alexander C, 1977, PATTERN LANGUAGE, V0, P0
   Alfonso Annunziata, 2015, JOURNAL OF CIVIL ENGINEERING AND ARCHITECTURE, V9, P0, DOI 10.17265/1934-7359/2015.08.009
   Barabási AL, 1999, SCIENCE, V286, P509, DOI 10.1126/science.286.5439.509
   DONINI G, 2008, MARGINI DELLA MOBILITA, V0, P0
   Gehl Jan, 1987, LIFE BETWEEN BUILDINGS: USING PUBLIC SPACE, V0, P0
   Jacobs J, 1992, THE DEATH AND LIFE OF GREAT AMERICAN CITIES, V0, P0
   Jiang B, 2009, INT J GEOGR INF SCI, V23, P1033, DOI 10.1080/13658810802004648
   MAGNANI C, 1989, CASABELLA, V53, P28
   Marshall S, 2005, STREETS AND PATTERNS, V0, P0
   Marshall S, 2016, J TRANSP LAND USE, V9, P29, DOI 10.5198/jtlu.2015.744
   Pisano C, 2018, PATCHWORK METROPOLIS, V0, P0
   Salingaros NA, 2005, PRINCIPLES URBAN STR, V0, P0
   Xie F, 2007, GEOGR ANAL, V39, P336, DOI 10.1111/j.1538-4632.2007.00707.x
   Yerra BM, 2005, ANN REGIONAL SCI, V39, P541, DOI 10.1007/s00168-005-0230-4
NR 18
TC 0
Z9 0
U1 0
U2 6
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2190-3018
EI 2190-3026
J9 SMART INNOV SYST TEC
PD JUN 15
PY 2019
VL 101
IS 
BP 172
EP 181
DI 10.1007/978-3-319-92102-0_19
PG 10
WC Engineering, Civil; Regional & Urban Planning; Urban Studies
SC Engineering; Public Administration; Urban Studies
GA BM2EK
UT WOS:000460948500019
DA 2026-05-02
ER

PT J
AU Woo, A
   Yu, CY
   Lee, S
AF Woo, Ayoung
   Yu, Chia-Yuan
   Lee, Sugie
TI Neighborhood walkability for subsidized households: Revisiting neighborhood environments of Housing Choice Voucher and Low-Income Housing Tax Credit households
SO CITIES
LA English
DT Article
DE Subsidized housing; Built environment; Walkabiliry; Environmental disparity; Street Smart Walk Score
ID poverty deconcentration; built environment; public-health; walking; travel; opportunity; race; overweight; community; geography
AB Scholars and planners have emphasized the importance of the living environments provided to marginalized families by subsidized housing. Many previous studies have focused primarily on the socio-demographics environments of subsidized housing, but it remains unknown if subsidized housing programs facilitate disadvantaged populations' access to walkable environments. Furthermore, little attention has been devoted to the potential differences in walkability of the environments provided by tenant-based programs such as Housing Choice Voucher (HCV), and project-based programs like the Low-Income Housing Tax Credit (LIHTC). This study examined the spatial distribution of HCV and LIHTC housing units and their environmental attributes in the American city of Austin, Texas. Binary logistic regression models were used to estimate various walkable environments around subsidized households. We found that the walkability characteristics varied between the two subsidized housing programs. HCV households were mostly in neighborhoods with high accessibility to amenities and significant sidewalk completeness, but had low densities of crosswalks and transit stops. Meanwhile, LIHTC households were principally found in census block groups characterized by poor sidewalk completeness. Other walkability features, such as the Street Smart Walk Score and the crosswalk density, were not significantly related to neighborhoods containing LIHTC households. These findings will help planning practitioners understand the spatial attributes of subsidized households and better improve their neighborhood walkability.
C1 [Woo, Ayoung] Sejong Univ, Dept Architecture, Seoul, South Korea.
   [Yu, Chia-Yuan] Univ Cent Florida, Sch Publ Adm, Orlando, FL 32816 USA.
   [Lee, Sugie] Hanyang Univ, Dept Urban Planning & Engn, Seoul, South Korea.
C3 Sejong University; State University System of Florida; University of Central Florida; Hanyang University
RP Yu, CY (通讯作者)，4364 Scorpius St,HPA II Room 340, Orlando, FL 32816 USA.
EM awoo@sejong.ac.kr; ychiayuan@gmail.com; sugielee@hanyang.ac.kr
CR Unknown -, 2000, REPORT ON SCOTTISH ENTERPRISE: SKILLSEEKERS TRAINING FOR YOUNG PEOPLE, V0, P0
   Basolo V, 2013, CITYSCAPE, V15, P135
   BBC Research and Consulting, 2009, COMPR HOUS MARK STUD, V0, P0
   Boarnet M, 2001, TRANSPORT RES A-POL, V35, P823, DOI 10.1016/S0965-8564(00)00019-7
   Bostock L, 2001, HEALTH SOC CARE COMM, V9, P11, DOI 10.1046/j.1365-2524.2001.00275.x
   Briggs XD, 2005, GEOGRAPHY OF OPPORTUNITY: RACE AND HOUSING CHOICE IN METROPOLITAN AMERICA, V0, P17
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Deng L, 2007, J PLAN EDUC RES, V27, P20, DOI 10.1177/0739456X07301467
   Ellen IG, 1997, HOUS POLICY DEBATE, V8, P833, DOI 10.1080/10511482.1997.9521280
   Ellen IG, 2005, DOES FEDERALLY SUBSI, V0, P0
   Ewing R, 2001, TRANSPORT RES REC, V0, PP87, DOI 10.3141/1780-10
   Ewing R, 2001, TRANSPORT Q, V55, P33
   Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766
   Ewing R, 2009, J PLAN LIT, V23, P347, DOI 10.1177/0885412209335553
   Frank LD, 2004, AM J PREV MED, V27, P87, DOI 10.1016/j.amepre.2004.04.011
   Freeman Lance, 2004, CENSUS 2000 SURVEY SERIES, V0, P0
   GALSTER GC, 1995, HOUS POLICY DEBATE, V6, P7, DOI 10.1080/10511482.1995.9521180
   Galster GeorgeC, 2013, NEIGHBOURHOOD EFFECTS OR NEIGHBOURHOOD BASED PROBLEMS?, V0, PP215, DOI 10.1007/978-94-007-6695-2
   Galvez M, 2010, WHAT DO WE KNOW HOUS, V0, P0
   Guhathakurta S, 2000, URBAN AFF REV, V35, P520, DOI 10.1177/10780870022184516
   Hwang J, 2017, J TRANSP HEALTH, V6, P40, DOI 10.1016/j.jth.2017.05.003
   Kim J, 2004, ENVIRON BEHAV, V36, P313, DOI 10.1177/0013916503260236
   KIM YJ, 2016, SUSTAINABILITY-BASEL, V8, P0, DOI 10.3390/SU8040396
   Koschinsky J, 2015, CITYSCAPE, V17, P13
   Koschinsky J, 2017, ENVIRON PLAN B-URBAN, V44, P343, DOI 10.1177/0265813515625641
   Koschinsky J, 2016, HOUS POLICY DEBATE, V26, P835, DOI 10.1080/10511482.2015.1137965
   Lee C, 2013, J COMMUN HEALTH, V38, P12, DOI 10.1007/s10900-012-9592-6
   Lens MC, 2011, CITYSCAPE, V13, P135
   Loo BPY, 2017, INT J URBAN SCI, V21, P54, DOI 10.1080/12265934.2016.1235488
   Lund H, 2002, J PLAN EDUC RES, V21, P301, DOI 10.1177/0739456X0202100307
   Massey DouglasDenton, 1998, AMERICAN APARTHEID: SEGREGATION AND THE MAKING OF THE UNDERCLASS, V0, P0
   McCormack GR, 2011, INT J BEHAV NUTR PHY, V8, P0, DOI 10.1186/1479-5868-8-125
   Murakami E, 1997, NAT PERS TRANSP SURV, V0, P0
   Newman SJ, 1997, HOUS POLICY DEBATE, V8, P703, DOI 10.1080/10511482.1997.9521275
   Oakley D, 2008, URBAN AFF REV, V43, P599, DOI 10.1177/1078087407309432
   Park M, 2013, J HOUS BUILT ENVIRON, V28, P451, DOI 10.1007/s10901-012-9319-0
   Pucher J, 2003, AM J PUBLIC HEALTH, V93, P1509, DOI 10.2105/AJPH.93.9.1509
   Retting RA, 2003, AM J PUBLIC HEALTH, V93, P1456, DOI 10.2105/AJPH.93.9.1456
   Rohe WM, 2001, J AM PLANN ASSOC, V67, P279, DOI 10.1080/01944360108976236
   Saelens BE, 2003, ANN BEHAV MED, V25, P80, DOI 10.1207/S15324796ABM2502_03
   Saelens BE, 2008, MED SCI SPORT EXER, V40, PS550, DOI 10.1249/MSS.0b013e31817c67a4
   Schwartz AF, 2010, HOUSING POLICY US, V0, PP1, DOI 10.2139/ssrn.1699183.
   Squires GD, 2005, URBAN STUD, V42, P47, DOI 10.1080/0042098042000309694
   Talen E, 2014, J AM PLANN ASSOC, V80, P67, DOI 10.1080/01944363.2014.935232
   USCensus Bureau, 2017, AM FACTFINDER FACT S, V0, P0
   *US DEP HOUS URB D, 2017, LOW INC HOUS TAX CRE, V0, P0
   Van Zandt S, 2009, URBAN GEOGR, V30, P490, DOI 10.2747/0272-3638.30.5.490
   Walter RJ, 2015, HOUSING STUD, V30, P1064, DOI 10.1080/02673037.2015.1009004
   Wang XH, 2005, HOUSING STUD, V20, P29, DOI 10.1080/0267303042000308714
   Weisner, 2010, CHAOS AND ITS INFLUENCE ON CHILDRENS DEVELOPMENT: AN ECOLOGICAL PERSPECTIVE, V0, PP211, DOI 10.1037/12057-013
   Williams EP, 2015, CURR OBES REP, V4, P363, DOI 10.1007/s13679-015-0169-4
   Williamson AR, 2009, URBAN AFF REV, V45, P119, DOI 10.1177/1078087409336529
   Woo A, 2017, APPL GEOGR, V83, P37, DOI 10.1016/j.apgeog.2017.03.014
   Woo A, 2016, COMMUNITY DEV, V47, P45, DOI 10.1080/15575330.2015.1104369
   Woo A, 2016, URBAN STUD, V53, P2488, DOI 10.1177/0042098015593448
   Woo A, 2015, APPL GEOGR, V64, P87, DOI 10.1016/j.apgeog.2015.09.004
   Zhu Xuemei, 2013, WORLD HEALTH DES, V6, P68
NR 57
TC 21
Z9 28
U1 1
U2 23
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUN 15
PY 2019
VL 89
IS 
BP 243
EP 251
DI 10.1016/j.cities.2019.03.002
PG 9
WC Urban Studies
SC Urban Studies
GA HY1PG
UT WOS:000467888300021
DA 2026-05-02
ER

PT J
AU Cao, J
   Duncan, M
AF Cao, Jason
   Duncan, Michael
TI Associations among Distance, Quality, and Safety When Walking from a Park-and-Ride Facility to the Transit Station in the Twin Cities
SO JOURNAL OF PLANNING EDUCATION AND RESEARCH
LA English
DT Article
DE walking tolerance; stated preference; land use; economic development; transit-oriented development
ID built environment; public transport; travel; accessibility; preference; behavior; access; users
AB Planners are interested in moving park-and-ride facilities away from transit stations and leaving space nearby for development. However, the literature offers no indication on how park-and-riders would tolerate longer walking distances. This study applies stated preference surveys to examine park-and-riders' walking tolerance and other influential factors. We found that park-and-riders overwhelmingly prefer short walking distances but a pedestrian-friendly environment can offset the disutility of walking distances. With safe intersections, good pedestrian infrastructure, and an attractive building appearance, this study indicates that park-and-riders will walk up to two blocks more than they otherwise would. They stated that security, sidewalk, and crosswalk conditions are the most critical.
C1 [Cao, Jason] Univ Minnesota, Humphrey Sch Publ Affairs, 301 19th Ave S, Minneapolis, MN 55455 USA.
   [Cao, Jason] Beihang Univ, Beijing, Peoples R China.
   [Duncan, Michael] Florida State Univ, Dept Urban & Reg Planning, Tallahassee, FL 32306 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities; Beihang University; State University System of Florida; Florida State University
RP Cao, J (通讯作者)，Univ Minnesota, Humphrey Sch Publ Affairs, 301 19th Ave S, Minneapolis, MN 55455 USA.
EM cao@umn.edu
CR Agrawal AW, 2008, J URBAN DES, V13, P81, DOI 10.4103/0971-9261.43034
   Bhat CR, 2007, TRANSPORT RES B-METH, V41, P506, DOI 10.1016/j.trb.2005.12.005
   Cao Jason, 2017, EXPLORING WALKING TO, V0, P0
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Chia J, 2016, INT J SUSTAIN TRANSP, V10, P805, DOI 10.1080/15568318.2016.1156792
   Daniels R, 2013, J TRANSP LAND USE, V6, P5, DOI 10.5198/jtlu.v6i2.308
   Duncan M, 2013, TRANSPORT POLICY, V25, P148, DOI 10.1016/j.tranpol.2012.11.014
   Durand CP, 2016, J TRANSP HEALTH, V3, P154, DOI 10.1016/j.jth.2015.08.007
   El-Geneidy A, 2014, TRANSPORTATION, V41, P193, DOI 10.1007/s11116-013-9508-z
   Farhan B, 2005, T GIS, V9, P91, DOI 10.1111/J.1467-9671.2005.00208.X
   Forsyth A, 2008, J URBAN DES, V13, P1, DOI 10.1080/13574800701816896
   Furth PG, 2000, TRANSPORT RES REC, V0, PP15, DOI 10.3141/1731-03
   Greenwald MJ, 2001, TRANSPORT RES REC, V0, PP33, DOI 10.3141/1780-05
   Guerra E, 2012, TRANSPORT RES REC, V0, PP101, DOI 10.3141/2276-12
   He BH, 2012, PROCD SOC BEHV, V43, P294, DOI 10.1016/j.sbspro.2012.04.102
   HENSHER DA, 1994, TRANSPORTATION, V21, P107, DOI 10.1007/BF01098788
   Horner MW, 2007, SOCIO-ECONOMIC PLANNING SCIENCES, V41, P255, DOI 10.1016/J.SEPS.2006.04.001
   Kim S, 2007, TRANSPORT RES A-POL, V41, P511, DOI 10.1016/j.tra.2006.11.001
   Kuby M, 2004, TRANSPORT RES A-POL, V38, P223, DOI 10.1016/j.tra.2003.10.006
   Loutzenheiser D, 1997, TRANSPORTATION RESEARCH RECORD, V1604, P40, DOI 10.3141/1604-06
   Louviere JJ, 2000, STATED CHOICE MODELS, V0, P0, DOI DOI 10.1017/CBO9780511753831.008
   Mason P, 2011, HEALTH PLACE, V17, P727, DOI 10.1016/j.healthplace.2011.01.010
   Murray A, 2003, J GEOGR SYST, V5, P93, DOI 10.1007/s101090300105
   Oneill W, 1992, TRANSPORTATION RESEARCH RECORD, V1364, P131
   Olszewski P, 2005, TRANSPORT RES REC, V1927, P38, DOI 10.3141/1927-05
   Park S, 2014, KSCE J CIV ENG, V18, P651, DOI 10.1007/s12205-014-0073-6
   Roorda MJ, 2009, J TRANSP ENG, V135, P935, DOI 10.1061/(ASCE)TE.1943-5436.0000072
   Saelens BE, 2008, MED SCI SPORT EXER, V40, PS550, DOI 10.1249/MSS.0b013e31817c67a4
   Shirgaokar M, 2005, TRANSPORT RES REC, V1927, P46, DOI 10.3141/1927-06
   Sun GB, 2016, CITIES, V56, P91, DOI 10.1016/j.cities.2016.03.001
   Syed S, 2009, TRANSPORT RES REC, V0, PP155, DOI 10.3141/2110-19
   Tao T, 2020, J TRANSP GEOGR, V82, P0, DOI 10.1016/j.jtrangeo.2019.102560
   Train KE, 2003, DISCRETE CHOICE MODE, V0, P0
   Transit Cooperative Research Program, 2003, 100 TCRP, V0, P0
   Vargo Scott, 2013, GREEN LINE WALKABILI, V0, P0
   Walton D, 2010, INT J SUSTAIN TRANSP, V4, P212, DOI 10.1080/15568310902927040
   Wang JY, 2017, J TRANSP GEOGR, V64, P132, DOI 10.1016/j.jtrangeo.2017.08.013
   Wang JYT, 2004, TRANSPORT RES B-METH, V38, P709, DOI 10.1016/j.trb.2003.10.002
   Yang Y, 2012, AM J PREV MED, V43, P11, DOI 10.1016/j.amepre.2012.03.015
   Zhao F, 2003, TRANSPORT RES REC, V0, PP34, DOI 10.3141/1835-05
NR 40
TC 14
Z9 17
U1 0
U2 31
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0739-456X
EI 1552-6577
J9 J PLAN EDUC RES
JI J. Plan. Educ. Res.
PD DEC 15
PY 2019
VL 39
IS 4
BP 496
EP 507
DI 10.1177/0739456X19883858
PG 12
WC Regional & Urban Planning; Urban Studies
SC Public Administration; Urban Studies
GA JM5YP
UT WOS:000496290100008
DA 2026-05-02
ER

PT J
AU Pont, MB
   Stavroulaki, G
   Marcus, L
AF Pont, Meta Berghauser
   Stavroulaki, Gianna
   Marcus, Lars
TI Development of urban types based on network centrality, built density and their impact on pedestrian movement
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Built density; network centrality; typo-morphology; pedestrian flow
ID space syntax; model
AB A better understanding of the relationship between the built environment and urban processes is central in guiding urban processes in more sustainable trajectories. Of particular importance to this endeavour is the idea of urban types. However, on closer scrutiny, while such types may capture the symbolic dimension of urban form, they frequently do not capture its performance or functional dimension. This prohibits precise policy formulation on the topic. This paper first presents a methodology for generating urban types relevant to urban practice (using analytical and statistical methods) and, second, an empirical test of the differences in performance concerning their influence on the presence of people in public space (an essential driver of many other urban processes). For this reason, a large (and to our knowledge unique) pedestrian survey of three European metropolitan areas was conducted and used to test the performance of the urban types developed. The results prove that the methodology for developing the types is robust, as it picks up generally recognised spatial patterns in all three cities. Further, the types were able to explain the intensity of pedestrian flow, its spatial distribution and fluctuations of intensity in space and time. These are vital steps forward and provide more useable typologies in urban planning and design practice.
C1 [Pont, Meta Berghauser] Chalmers Univ Technol, Urban Design & Planning & Leads, Spatial Morphol Grp SMoG, Dept Architecture & Civil Engn, Gothenburg, Sweden.
   [Stavroulaki, Gianna] Chalmers Univ Technol, SMoG Res Grp, Dept Architecture & Civil Engn, Gothenburg, Sweden.
   [Marcus, Lars] Chalmers Univ Technol, SMoG Res Grp, Dept Architecture & Civil Engn, Urban Design & Leads, Gothenburg, Sweden.
C3 Chalmers University of Technology; Chalmers University of Technology; Chalmers University of Technology
RP Pont, MB (通讯作者)，Chalmers Univ Technol, Dept Architecture & Civil Engn, SE-41296 Gothenburg, Sweden.
EM meta.berghauserpont@chalmers.se
CR Unknown -, 2011, 51 EUR C REG SCI ASS, V0, P0
   Barthelemy M, 2017, ENVIRON PLAN B-URBAN, V44, P256, DOI 10.1177/0265813515599982
   Batty M, 2013, NEW SCI CITIES, V0, P0
   Batty M, 2007, TOWN PLAN REV, V78, P125, DOI 10.3828/tpr.78.2.3
   Berghauser Pont M, 2015, 10 SPAC SYNT S LOND, V0, P0
   Berghauser Pont M, 2017, P 24 INT SEM URB FOR, V0, P0
   Berghauser Pont M, 2017, P 11 SPAC SYNT C LIS, V0, P0
   Berghauser PontM, 2014, NORDIC J ARCHITECTUR, V2, P11
   Dalton RC, 2003, ENVIRON BEHAV, V35, P107, DOI 10.1177/0013916502238867
   FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
   Fusco G, 2017, ISUF 2017 24 INT C V, V0, P0
   Gehl Jan, 2010, CITIES FOR PEOPLE, V0, P0
   Gil J, 2012, URBAN MORPHOL, V16, P27
   Hanson J, 2000, URBAN DES INT, V0, PP97, DOI 10.1057/PALGRAVE.UDI.9000011
   Hiller B, 2002, URBAN DESIGN INTERNATIONAL, V7, P153, DOI 10.1057/PALGRAVE.UDI.9000082
   HILLIER B, 1993, ENVIRON PLANN B, V20, P29, DOI 10.1068/b200029
   Hillier B, 2005, SPACE SYNTAX 5TH INTERNATIONAL SYMPOSIUM, VOL 1, PROCEEDINGS
   Hillier B, 2012, THE JOURNAL OF SPACE SYNTAX, V3, P155
   Hillier Bill, 1996, SPACE IS MACHINE CON, V0, P0, DOI DOI 10.1016/S0142-694X(97)89854-7
   Jacobs Jane, 1961, THE DEATH AND LIFE OF GREAT AMERICAN CITIES, V0, P0
   Jenks M, 2000, COMPACT CITIES SUSTA, V0, P0
   Kostof Spiro, 1991, CITY SHAPED URBAN PA, V0, P0
   Kurkcu A, 2017, TRANSPORT RES REC, V0, PP72, DOI 10.3141/2644-09
   Levy A, 1999, URBAN MORPHOL, V3, P79
   Moudon AV, 1994, ORDERING SPACE TYPES, V0, P289
   Oliveira V, 2016, URBAN BOOK SERIES, V0, PP1, DOI 10.1007/978-3-319-32083-0
   Ozbil A, 2011, URBAN DES INT, V16, P125, DOI 10.1057/udi.2011.2
   Peponis J, 1997, GEOFORUM, V28, P341, DOI 10.1016/S0016-7185(97)00016-X
   Peponis John, 2015, THE JOURNAL OF SPACE SYNTAX, V6, P109
   Pont MB, 2010, SPACEMATRIX SPACE DE, V0, P0
   Prosperi D, 2009, FOOTPRINT, V0, PP1, DOI 10.7480/FOOTPRINT.3.2.706
   Read S, 1999, ENVIRON PLANN B, V26, P251, DOI 10.1068/b260251
   Read S, 1999, 5 SPAC SYNT S, V0, P0
   Serra M, 2013, ANATOMY EMERGING MET, V0, P0
   Song Y, 2007, J URBAN DES, V12, P1, DOI 10.1080/13574800601072640
   STEINIGER S, 2008, TRANSACTIONS IN GIS, V12, P31, DOI 10.1111/J.1467-9671.2008.01085.X
   Tan PN, 2005, INTRODUCTION TO DATA MINING, V1st, P0
   Turner A, 2007, ENVIRON PLANN B, V34, P539, DOI 10.1068/b32067
   Vialard A, 2014, PROCEEDINGS OF THE 21ST INTERNATIONAL SEMINAR ON URBAN FORM (ISUF): OUR COMMON FUTURE IN URBAN MORPHOLOGY, V0, P166
   Wilmink FW, 1984, MULTIVARIATE STATISTICAL METHODS IN PHYSICAL ANTHROPOLOGY, V0, PP135, DOI 10.1007/978-94-009-6357-3_11
   Wunderlich FM, 2008, J URBAN DES, V13, P125, DOI 10.1080/13574800701803472
NR 41
TC 56
Z9 59
U1 1
U2 52
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 2399-8083
EI 2399-8091
J9 ENVIRON PLAN B-URBAN
JI Env. Plan. B-Urban Anal. City Sci.
PD OCT 15
PY 2019
VL 46
IS 8
BP 1549
EP 1564
DI 10.1177/2399808319852632
PG 16
WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies
GA IX8OC
UT WOS:000485946000011
DA 2026-05-02
ER

PT J
AU Tsai, WL
   Yngve, L
   Zhou, YH
   Beyer, KMM
   Bersch, A
   Malecki, KM
   Jackson, LE
AF Tsai, Wei-Lun
   Yngve, Leah
   Zhou, Yuhong
   Beyer, Kirsten M. M.
   Bersch, Andrew
   Malecki, Kristen M.
   Jackson, Laura E.
TI Street-level neighborhood greenery linked to active transportation: A case study in Milwaukee and Green Bay, WI, USA
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Eco-health; EnviroAtlas; Urban greenspace
ID physical-activity; built environment; ecosystem services; health-benefits; public-health; mental-health; weight status; urban green; walking; associations
AB Sedentary lifestyles contribute to many adverse health outcomes and pose concerns for public health worldwide. Studies show that road network design and greenery are critical, independent factors in supporting active lifestyles. Yet greenery along the road network has been insufficiently assessed. This study modelled individual weekly participation in active transportation (AT) using spatially refined measures of street versus overall neighborhood greenery in greater Milwaukee and Green Bay, Wisconsin, USA. Measures of AT (walking or biking for commutes or errands) were collected by the Survey of the Health of Wisconsin. Meter-scale landcover was used to estimate percent tree cover and aggregate greenery (tree and herbaceus cover combined) at increasing distances from each residence (n = 423) along neighborhood streets and in circular buffers. Street greenery metrics were designed to indicate the provision of ecosystem services, including shade and aesthetics, which promote physical activity by enhancing the safety and beauty of the publicly-accessible outdoor environment. Positive associations were consistently observed for street tree cover (e.g., adjusted odds ratio for a 10% increase in sidewalk tree cover within 500 m = 1.19; 95% CI: 1.02-1.40; and in street tree cover within 1250 m = 1.39; 95% CI: 1.09-1.79). Aggregate greenery was significant only in circular buffers, where it was negatively associated with AT. Sensitivity analysis revealed that herbaceous cover alone was consistently negatively associated with AT. Findings inform urban design to promote healthy lifestyles by distinguishing street tree cover as a positive factor in AT. Studies in additional geographic areas and causal designs are recommended.
C1 [Tsai, Wei-Lun] US EPA, Res Triangle Pk, NC 27711 USA.
   [Yngve, Leah] US EPA, Res Triangle Pk, NC USA.
   [Zhou, Yuhong; Beyer, Kirsten M. M.] Med Coll Wisconsin, Div Epidemiol, Inst Hlth & Soc, Milwaukee, WI 53226 USA.
   [Bersch, Andrew] Univ Wisconsin, Dept Populat Hlth Sci, Madison, WI USA.
   [Malecki, Kristen M.] Univ Wisconsin, Dept Populat Hlth Sci, Wisconsin Alumni Res Fdn, Madison, WI USA.
   [Jackson, Laura E.] US EPA, Natl Hlth & Environm Effects Res Lab, Off Res & Dev, Res Triangle Pk, NC 27711 USA.
C3 United States Environmental Protection Agency; United States Environmental Protection Agency; Medical College of Wisconsin; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; United States Environmental Protection Agency
RP Jackson, LE (通讯作者)，US EPA, Epidemiol Branch, Environm Publ Hlth Div, Natl Hlth & Environm Effects Res Lab,Off Res & De, 109 TW Alexander Dr,13105-02, Res Triangle Pk, NC 27711 USA.
EM jackson.laura@epa.gov
FU Wisconsin Partnership Program (PERC) Award [223 PRJ 25DJ]; National Institutes of Health's Clinical and Translational Science Award [5UL 1RR025011]; National Heart Lung and Blood Institute [1 RC2 HL101468];  [P2C HD047873]
CR Adams MA, 2011, PREV MED, V52, P326, DOI 10.1016/j.ypmed.2011.02.020
   Akpinar A, 2016, URBAN FOR URBAN GREE, V20, P407, DOI 10.1016/j.ufug.2016.10.013
   Unknown -, 2013, VAC LOT HDB, V0, P0
   Unknown -, 2014, SMART LOCATION DATABASE, V0, P0
   Unknown -, 2019, REPORT, V0, P0
   Baumgardner D, 2012, ENVIRON POLLUT, V163, P174, DOI 10.1016/j.envpol.2011.12.016
   Beyer KMM, 2014, INT J ENV RES PUB HE, V11, P3453, DOI 10.3390/ijerph110303453
   Boone-Heinonen J, 2011, PSYCHOL SPORT EXERC, V12, P54, DOI 10.1016/j.psychsport.2009.09.003
   Browning M, 2017, INT J ENV RES PUB HE, V14, P0, DOI 10.3390/ijerph14070675
   Bull F, 2010, INNOVATIVE APPROACHE, V0, P0
   Cerin E, 2017, INT J BEHAV NUTR PHY, V14, P0, DOI 10.1186/s12966-017-0471-5
   Christiansen LB, 2016, J TRANSP HEALTH, V3, P467, DOI 10.1016/j.jth.2016.02.010
   Ding D, 2016, LANCET, V388, P1311, DOI 10.1016/S0140-6736(16)30383-X
   Donovan GH, 2017, URBAN FOR URBAN GREE, V22, P120, DOI 10.1016/j.ufug.2017.02.010
   Ellaway A, 2005, BMJ-BRIT MED J, V331, P611, DOI 10.1136/bmj.38575.664549.F7
   [EPA] U.S. Environmental Protection Agency, 2016, ENVIROATLAS EST INT, V0, P0
   [EPA] U.S. Environmental Protection Agency, 2010, ENVIROATLAS GREEN BA, V0, P0
   [EPA] U.S. Environmental Protection Agency, 2010, ENVIROATLAS MILW WI, V0, P0
   Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766
   Forsyth A, 2008, URBAN STUD, V45, P1973, DOI 10.1177/0042098008093386
   Galper DI, 2006, MED SCI SPORT EXER, V38, P173, DOI 10.1249/01.mss.0000180883.32116.28
   Giles-Corti Billie, 2010, N S W PUBLIC HEALTH BULL, V21, P122, DOI 10.1071/NB10027
   GOPAL S, 1994, PHOTOGRAMM ENG REM S, V60, P181
   Grasser G, 2013, INT J PUBLIC HEALTH, V58, P615, DOI 10.1007/s00038-012-0435-0
   Hallal PC, 2012, LANCET, V380, P247, DOI 10.1016/S0140-6736(12)60646-1
   HERE N, 2011, NAVTEQ STREETS ESR F, V0, P0
   Hirsch JA, 2016, ENVIRON BEHAV, V48, P55, DOI 10.1177/0013916515607312
   Hoehner CM, 2005, AM J PREV MED, V28, P105, DOI 10.1016/j.amepre.2004.10.023
   Holliday KM, 2017, HEALTH PLACE, V45, P181, DOI 10.1016/j.healthplace.2017.03.013
   Howard EJ, 2014, MODELING GPS BASED W, V0, P16p
   Hwang LD, 2016, INT J ENV RES PUB HE, V13, P0, DOI 10.3390/ijerph13040412
   Kondo MC, 2017, LANDSCAPE URBAN PLAN, V157, P193, DOI 10.1016/j.landurbplan.2016.07.003
   Kwan MP, 2018, INT J ENV RES PUB HE, V15, P0, DOI 10.3390/ijerph15091841
   Langemeyer J, 2018, LAND USE POLICY, V77, P542, DOI 10.1016/j.landusepol.2018.05.049
   Laxy Michael, 2015, BMC PUBLIC HEALTH, V15, P237, DOI 10.1186/s12889-015-1576-x
   Lederbogen F, 2011, NATURE, V474, P498, DOI 10.1038/nature10190
   Lee IM, 2012, LANCET, V380, P219, DOI 10.1016/S0140-6736(12)61031-9
   Lin JJ, 2010, URBAN STUD, V47, P867, DOI 10.1177/0042098009351938
   Lu Y, 2018, SOC SCI MED, V208, P41, DOI 10.1016/j.socscimed.2018.05.022
   Maas J, 2008, BMC PUBLIC HEALTH, V8, P0, DOI 10.1186/1471-2458-8-206
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   McGinn AP, 2007, HEALTH PLACE, V13, P588, DOI 10.1016/j.healthplace.2006.07.002
   McMorris O, 2015, ENVIRON RES, V137, P94, DOI 10.1016/j.envres.2014.11.010
   Montiel LisaM, 2004, AN UPDATE ON URBAN HARDSHIP, V0, P0
   Nieto FJ, 2010, BMC PUBLIC HEALTH, V10, P0, DOI 10.1186/1471-2458-10-785
   Olson J, 2016, POPULATION HLTH INTE, V0, P44
   Pereira G, 2013, ENVIRON HEALTH-GLOB, V12, P0, DOI 10.1186/1476-069X-12-49
   Pickard BR, 2015, ECOSYST SERV, V14, P45, DOI 10.1016/j.ecoser.2015.04.005
   Pickett STA, 2001, ANNU REV ECOL SYST, V32, P127, DOI 10.1146/annurev.ecolsys.32.081501.114012
   Pikora T, 2003, SOC SCI MED, V56, P1693, DOI 10.1016/S0277-9536(02)00163-6
   Reid CE, 2017, INT J ENV RES PUB HE, V14, P0, DOI 10.3390/ijerph14111411
   Richardson EA, 2013, PUBLIC HEALTH, V127, P318, DOI 10.1016/j.puhe.2013.01.004
   Roux AVD, 2007, AM J PUBLIC HEALTH, V97, P493, DOI 10.2105/AJPH.2006.087734
   Rundle AG, 2016, AM J PREV MED, V50, PE65, DOI 10.1016/j.amepre.2015.07.033
   Säumel I, 2016, ENVIRON SCI POLICY, V62, P24, DOI 10.1016/j.envsci.2015.11.012
   Sallis JF, 2016, LANCET, V387, P2207, DOI 10.1016/S0140-6736(15)01284-2
   Sallis JF, 2015, INT J BEHAV NUTR PHY, V12, P0, DOI 10.1186/s12966-015-0188-2
   Sallis JF, 2012, CIRCULATION, V125, P729, DOI 10.1161/CIRCULATIONAHA.110.969022
   Sallis JE, 2006, ANNU REV PUBL HEALTH, V27, P297, DOI 10.1146/annurev.publhealth.27.021405.102100
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, P0, DOI 10.1186/s12940-016-0103-6
   Sarkar C, 2018, LANCET PLANET HEALTH, V2, PE162, DOI 10.1016/S2542-5196(18)30051-2
   Sarkar C, 2015, LANDSCAPE URBAN PLAN, V143, P112, DOI 10.1016/j.landurbplan.2015.06.013
   Shih M, 2013, PEDIATR OBES, V8, P411, DOI 10.1111/j.2047-6310.2012.00123.x
   Ståhl T, 2001, SOC SCI MED, V52, P1, DOI 10.1016/S0277-9536(00)00116-7
   Troped PJ, 2014, J AGING PHYS ACTIV, V22, P114, DOI 10.1123/japa.2012-0137
   Tsai WL, 2019, URBAN FOR URBAN GREE, V41, P104, DOI 10.1016/j.ufug.2019.03.011
   Tsai WL, 2018, INT J ENV RES PUB HE, V15, P0, DOI 10.3390/ijerph15020340
   Tsai WL, 2016, AM J PREV MED, V50, P509, DOI 10.1016/j.amepre.2015.09.022
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Vich G, 2018, URBAN FORESTRY URBAN, V0, P0
   Vich G, 2019, J TRANSP HEALTH, V12, P50, DOI 10.1016/j.jth.2018.11.003
   Vich G, 2017, GEOGR J, V183, P426, DOI 10.1111/geoj.12220
   Warburton DER, 2006, CAN MED ASSOC J, V174, P801, DOI 10.1503/cmaj.051351
   Ward BWC, 2015, EARLY RELEASE OF SELECTED ESTIMATES BASED ON DATA FROM THE 2014 NATIONAL HEALTH INTERVIEW SURVEY, V0, P0
   Whitfield GP, 2015, MMWR SURVEILL SUMM, V64, P1
   WHO, 2010, SCREENING DONATED BLOOD FOR TRANSFUSION: TRANSMISSIBLE INFECTIONS, V0, P1
   World Health Organization, 2019, CRITICALLY IMPORTANT ANTIMICROBIALS FOR HUMAN MEDICINE, V0, P0
NR 79
TC 64
Z9 67
U1 5
U2 77
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 NOV 15
PY 2019
VL 191
IS 
BP 
EP 
DI 10.1016/j.landurbplan.2019.103619
PG 12
WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Physical Geography; Public Administration; Urban Studies
GA JF8DD
UT WOS:000491614300010
PM 40949605
DA 2026-05-02
ER

PT J
AU Im, HN
   Choi, CG
AF Im, Ha Na
   Choi, Chang Gyu
TI The hidden side of the entropy-based land-use mix index: Clarifying the relationship between pedestrian volume and land-use mix
SO URBAN STUDIES
LA English
DT Article
DE diversity; entropy-based land use mix index; land-use mix; pedestrian volume; street vitality
ID walking activity; urban form; travel; density; associations; destinations; environment; diversity; seoul; city
AB This study clarifies the previously unknown limitations of the entropy-based land-use mix index and suggests conditions under which the index is valid. The land-use mix index has an n-shaped relationship to dependent variables, which was evidenced by this study, but previous studies have ignored the problem. This study identified a non-linear relationship between the land-use mix index and a common dependent variable of interest, pedestrian volume. Pedestrian volume is a common measure of the vitality of a district and/or a city and a major goal of urban design and regeneration. Using mathematical analysis, simulation, and empirical analysis, this study found that the land-use mix index had an inconsistent quadratic relationship to pedestrian volume. It was confirmed that an analytical model using the land-use mix index, and that index squared, should be used together when samples representative of entire cities are tested. Otherwise, in samples from predominantly residential areas, the land-use mix index positively relates to pedestrian volume, whereas, in predominantly commercial areas, it will be negative. Previous studies failed to observe the hidden side of the entropy-based land-use mix index in commercial areas because their focus was mainly on residential areas or residents. Future studies should clarify the logical and theoretical relationships between the index and the outcome variable of interest, review the characteristics of the data and, then, implement appropriate statistical analyses by being aware of the hidden side.
C1 [Im, Ha Na] Seoul Inst, Seoul, South Korea.
   [Choi, Chang Gyu] Hanyang Univ, Seoul, South Korea.
C3 Hanyang University
RP Choi, CG (通讯作者)，Hanyang Univ, Grad Sch Urban Studies, 222 Wangsimni Ro, Seoul 133791, South Korea.
EM cgchoi@hanyang.ac.kr
FU Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science and ICT [NRF-2016R1A2B4010260]
CR Brown BB, 2009, HEALTH PLACE, V15, P1130, DOI 10.1016/j.healthplace.2009.06.008
   Calthorpe P, 1993, THE NEXT AMERICAN METROPOLIS: ECOLOGY, V0, P0
   Cerin E, 2007, HEALTH PLACE, V13, P713, DOI 10.1016/j.healthplace.2006.11.002
   Cervero R, 1997, TRANSPORT RES D-TR E, V2, P199, DOI 10.1016/S1361-9209(97)00009-6
   Cervero R, 2003, AM J PUBLIC HEALTH, V93, P1478, DOI 10.2105/AJPH.93.9.1478
   Cervero R, 1989, AM SUBURBAN CTR LAND, V0, P0
   윤영준, 2014, JOURNAL OF KOREA PLANNING ASSOCIATION 국토계획, V49, P95
   Christian HE, 2011, INT J BEHAV NUTR PHY, V8, P0, DOI 10.1186/1479-5868-8-55
   Congress for the New Urbanism, 2000, CHARTER NEW URBANISM, V0, P0
   Duncan MJ, 2010, J URBAN HEALTH, V87, P782, DOI 10.1007/s11524-010-9488-7
   Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766
   Forsyth A, 2008, URBAN STUD, V45, P1973, DOI 10.1177/0042098008093386
   Frank LD, 1994, TRANSPORTATION RESEARCH RECORD: JOURNAL OF THE TRANSPORTATION RESEARCH BOARD, V1466, P37, DOI 10.1073/PNAS.1100480108
   Frank L, 2008, TRANSPORTATION, V35, P37, DOI 10.1007/s11116-007-9136-6
   Frank LD, 2005, AM J PREV MED, V28, P117, DOI 10.1016/j.amepre.2004.11.001
   Gehl J, 2013, STUDY PUBLIC LIFE, V0, P0
   Hajna S, 2014, HEALTH PLACE, V29, P79, DOI 10.1016/j.healthplace.2014.06.002
   Hajrasouliha A, 2015, URBAN STUD, V52, P2483, DOI 10.1177/0042098014544763
   Hess PM, 2001, TRANSPORT RES REC, V0, P17
   Jacobs J, 1992, THE DEATH AND LIFE OF GREAT AMERICAN CITIES, V0, P0
   Kockelman KM, 1996, THESIS, V0, P0
   Korea Transport Institute, 2001, KOR TRANSP SURV DB C, V0, P0
   Lee Jooah, 2013, JOURNAL OF KOREA PLANNING ASSOCIATION 국토계획, V48, P269
   Liu XH, 2009, YB ASS PACIFIC COAST, V72, P164, DOI 10.1353/PCG.0.0030
   Manaugh K, 2013, J TRANSP LAND USE, V6, P63, DOI 10.5198/jtlu.v6i1.291
   Rodríguez DA, 2009, AM J PREV MED, V37, P397, DOI 10.1016/j.amepre.2009.07.008
   Shannon C, 1949, MATH THEORY INFORM, V0, P0
   Song Y, 2004, REG SCI URBAN ECON, V34, P663, DOI 10.1016/j.regsciurbeco.2004.02.003
   Song Y, 2013, COMPUT ENVIRON URBAN, V42, P1, DOI 10.1016/j.compenvurbsys.2013.08.001
   Sung Hyun-Gun, 2014, JOURNAL OF KOREA PLANNING ASSOCIATION 국토계획, V49, P159
   Sung HG, 2013, CITIES, V35, P164, DOI 10.1016/j.cities.2013.07.010
   Sung H, 2015, J PLAN EDUC RES, V35, P117, DOI 10.1177/0739456X14568021
   Sung H, 2014, ENVIRON PLANN B, V41, P637, DOI 10.1068/b39116
   van Eck JR, 2008, ANN REGIONAL SCI, V42, P123, DOI 10.1007/s00168-007-0141-7
   WILSON AG, 1969, J TRANSP ECON POLICY, V3, P108
   Wilson A, 2010, GEOGR ANAL, V42, P364, DOI 10.1111/j.1538-4632.2010.00799.x
   Yun Na Yeong, 2013, JOURNAL OF KOREA PLANNING ASSOCIATION 국토계획, V48, P135
   Zhang M, 2004, J AM PLANN ASSOC, V70, P344, DOI 10.1080/01944360408976383
NR 38
TC 46
Z9 56
U1 5
U2 94
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0042-0980
EI 1360-063X
J9 URBAN STUD
JI Urban Stud.
PD JUL 15
PY 2019
VL 56
IS 9
BP 1865
EP 1881
DI 10.1177/0042098018763319
PG 17
WC Environmental Studies; Urban Studies
SC Environmental Sciences & Ecology; Urban Studies
GA IH9SY
UT WOS:000474847900010
DA 2026-05-02
ER

PT J
AU Yun, HY
   Zegras, C
   Arreola, DHP
AF Yun, Hae Young
   Zegras, Christopher
   Arreola, Daniel Heriberto Palencia
TI "Digitalizing Walkability": Comparing Smartphone-Based and Web-Based Approaches to Measuring Neighborhood Walkability in Singapore
SO JOURNAL OF URBAN TECHNOLOGY
LA English
DT Article
DE Smartphone app-based; on-site audit; web-based audit; Inter-Rater Reliability; Inter-Method Reliability; observation time comparison
ID irvine-minnesota inventory; measure built environments; land-use; transport; audit; agreement; walking; kappa; reliability; attributes
AB We evaluated two digitally enabled approaches to measuring neighborhood walkability: a smartphone-based, on-site pedestrian environmental audit tool, WalkTracker (WTracker), and remote, Web-based (Web) observations. Specifically, we examined street segments and intersections of a neighborhood in Singapore assessing: (1) the Inter-Rater Reliability (IRR) of each approach; (2) the Inter-Method Reliability (IMR) across the two approaches; and (3) the average observation times of the two approaches. Each approach had high IRR for the land use and traffic-related domains, with the Web performing better than WTracker for land use. In these same two domains, the two tools were relatively consistent (high IMR), although higher agreement was found within the tools than across them (IRR higher than IMR). For subjective or fine-grained features, both approaches had low IRR, with the Web-based approach performing worse than the app-based approach. Performance across the instruments was also worse than the reliability of measurements within each instrument (IMR lower than IRR). Some items were not observable via the Web. In terms of observation time, there was no statistically significant time difference in measurements between the two observation methods, not including the round-trip travel time to the site. A hybrid approach, combining the two approaches, might be most appropriate.
C1 [Yun, Hae Young] Natl Univ Singapore, Asia Res Inst, Singapore, Singapore.
   [Zegras, Christopher] MIT, Dept Urban Studies & Planning, Cambridge, MA 02139 USA.
   [Arreola, Daniel Heriberto Palencia] Singapore MIT Alliance Res & Technol, Future Urban Mobil Interdisciplinary Res Grp, Singapore, Singapore.
C3 National University of Singapore; Massachusetts Institute of Technology (MIT); Singapore-MIT Alliance for Research & Technology Centre (SMART)
RP Yun, HY (通讯作者)，Natl Univ Singapore, Asia Res Inst, Singapore, Singapore.
EM ariyhy@nus.edu.sg
FU Singapore University of Technology and Design (SUTD) through the SUTD-MIT postdoctoral fellowship; National Research Foundation Singapore through the Singapore MIT Alliance for Research and Technology's Future Urban Mobility IRG research program
CR Badland HM, 2010, J URBAN HEALTH, V87, P1007, DOI 10.1007/s11524-010-9505-x
   Barter Paul A, 2013, MEGACITY MOBILITY CU, V0, PP225, DOI 10.1007/978-3-642-34735-1_12
   Ben-Joseph E, 2013, HEALTH PLACE, V19, P138, DOI 10.1016/j.healthplace.2012.11.001
   Boarnet MG, 2006, AM J PREV MED, V30, P153, DOI 10.1016/j.amepre.2005.09.018
   Brownson RC, 2004, J PHYS ACTIVITY HLTH, V1, P189, DOI 10.1123/JPAH.1.3.191
   Brownson RC, 2009, AM J PREV MED, V36, PS99, DOI 10.1016/j.amepre.2009.01.005
   CERIN E, 2013, INT J BEHAV NUTR PHY, V10, P0
   Cerin E, 2011, HEALTH PLACE, V17, P937, DOI 10.1016/j.healthplace.2011.04.005
   CICCHETTI DV, 1990, J CLIN EPIDEMIOL, V43, P551, DOI 10.1016/0895-4356(90)90159-M
   *CIT POP, 2016, JUR E PLANN AR SING, V0, P0
   Clarke P, 2010, HEALTH PLACE, V16, P1224, DOI 10.1016/j.healthplace.2010.08.007
   Clifton KJ, 2007, LANDSCAPE URBAN PLAN, V80, P95, DOI 10.1016/j.landurbplan.2006.06.008
   *DEP STAT SING, 2015, YB STAT SING 2015, V0, P0
   *DEP STAT SING, 2017, YB STAT SING 2017, V0, P0
   Department of Statistics Singapore, 2011, CENS POP 2010 STAT R, V0, P0
   Ewing Reid, 2006, J PHYS ACT HEALTH, V3, PS223, DOI 10.1123/jpah.3.s1.s223
   Ewing R, 2016, J PLAN EDUC RES, V36, P5, DOI 10.1177/0739456X15591585
   Ewing R, 2009, J URBAN DES, V14, P65, DOI 10.1080/13574800802451155
   Forsyth A, 2015, URBAN DES INT, V20, P274, DOI 10.1057/udi.2015.22
   Frackelton A, 2015, TRANSP RES BOARD 94, V0, P0
   Frank LD, 2006, J AM PLANN ASSOC, V72, P75, DOI 10.1080/01944360608976725
   *GOOGL EARTH, 2017, GOOGL EARTH DESKT, V0, P0
   Grasser G, 2013, INT J PUBLIC HEALTH, V58, P615, DOI 10.1007/s00038-012-0435-0
   Han SS, 2005, PROG PLANN, V64, P69, DOI 10.1016/j.progress.2005.01.001
   Han SS, 2010, J TRANSP GEOGR, V18, P314, DOI 10.1016/j.jtrangeo.2009.06.010
   Haque MM, 2013, TRANSPORT POLICY, V27, P20, DOI 10.1016/j.tranpol.2012.11.017
   Humpel N, 2004, AM J PREV MED, V26, P119, DOI 10.1016/j.amepre.2003.10.005
   Koh PP, 2013, J TRANSP GEOGR, V26, P43, DOI 10.1016/j.jtrangeo.2012.08.012
   LANDIS JR, 1977, BIOMETRICS, V33, P159, DOI 10.2307/2529310
   Lockett D, 2005, CAN J NURS RES, V37, P48
   Millstein RA, 2013, BMC PUBLIC HEALTH, V13, P0, DOI 10.1186/1471-2458-13-403
   Moudon AV, 2007, AM J HEALTH PROMOT, V21, P448, DOI 10.4278/0890-1171-21.5.448
   Oakes J Michael, 2007, EPIDEMIOL PERSPECT INNOV, V4, P16, DOI 10.1186/1742-5573-4-16
   Olszewski P, 2005, TRANSPORT RES REC, V1927, P38, DOI 10.3141/1927-05
   Phillips CB, 2017, INT J HEALTH GEOGR, V16, P0, DOI 10.1186/s12942-017-0101-0
   Pikora TJ, 2002, AM J PREV MED, V23, P187, DOI 10.1016/S0749-3797(02)00498-1
   PIKORA TJ, 2002, SYSTEMATIC PEDESTRIA, V0, P0
   QUERCIA D, 2015, DIG LIF WALK STREETS, V0, P0
   Rundle AG, 2011, AM J PREV MED, V40, P94, DOI 10.1016/j.amepre.2010.09.034
   Saelens BE, 2008, MED SCI SPORT EXER, V40, PS550, DOI 10.1249/MSS.0b013e31817c67a4
   SALLIS JF, 2015, PH D MICROSCALE AUDI, V0, P0
   Schlossberg Marc, 2015, J URBAN, V8, P260, DOI 10.1080/17549175.2014.990915
   Schlossberg M, 2009, TRANSP RES RECORD, V0, PP83, DOI 10.3141/2105-11
   Su M, 2014, BMC PUBLIC HEALTH, V14, P0, DOI 10.1186/1471-2458-14-109
   TAY H, 2012, THESIS, V0, P0
   THOMPSON WD, 1988, J CLIN EPIDEMIOL, V41, P949, DOI 10.1016/0895-4356(88)90031-5
   Troped PJ, 2006, JOURNAL OF PHYSICAL ACTIVITY AND HEALTH, V3, P158, DOI 10.1123/jpah.3.s1.s158
   UEBERSAX JS, 1987, PSYCHOL BULL, V101, P140, DOI 10.1037/0033-2909.101.1.140
   Van Holle V, 2015, HEALTH PLACE, V34, P118, DOI 10.1016/j.healthplace.2015.05.004
   Viera AJ, 2005, FAM MED, V37, P360
   WASSWA B, 2016, THESIS, V0, P0
   Wilson JS, 2012, AM J PREV MED, V42, P193, DOI 10.1016/j.amepre.2011.09.029
   Zegras PC, 2015, NECTAR SER TRANSP, V0, P115
   Zegras PC, 2015, CAMB J REG ECON SOC, V8, P113, DOI 10.1093/cjres/rsu028
NR 54
TC 10
Z9 13
U1 0
U2 14
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1063-0732
EI 1466-1853
J9 J URBAN TECHNOL
JI J. Urban Technol.
PD JUL 3
PY 2019
VL 26
IS 3
BP 3
EP 43
DI 10.1080/10630732.2019.1625016
EA JUN 2019
PG 41
WC Urban Studies
SC Urban Studies
GA IO0CP
UT WOS:000473845400001
DA 2026-05-02
ER

PT J
AU Marshall, AJ
   Grose, MJ
   Williams, NSG
AF Marshall, Adrian J.
   Grose, Margaret J.
   Williams, Nicholas S. G.
TI Footpaths, tree cut-outs and social contagion drive citizen greening in the road verge
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Nature strip; Spatial contagion; Sidewalk; Urban biodiversity; Urban design; Urban forest; Urban greening
ID street trees; ecosystem services; urban landscapes; land-cover; gardens; vegetation; space; water; city; distinction
AB Verge gardening is a citizen-led form of public urban greening where residents plant and maintain understorey and trees in the road easement, and it has the potential to significantly increase the diversity and complexity of street greenery which is, most commonly, mown grass and monocultures of street trees. In Melbourne, Australia, two forms of verge gardening - understorey planted by residents and street trees planted by residents- were investigated. The distribution of verge gardens was tested for correlation with a range of urban form and social factors that included the proportion of garden in residential parcels, the proportion of the street set aside as road verge, age of street development, the presence of footpaths, tree cut-outs (tree pits) and social disadvantage. By better understanding the factors associated with verge gardening, we hope planners, urban designers and land managers will be able to better incorporate verge gardening into urban greening strategies and so maximise the biodiversity, ecosystem function and human amenity benefits associated with this significant public activity. We found that verge gardening was common, occurring in almost a quarter (22.1%) of verges and was strongly associated with verges without footpaths, tree cut-outs rather than continuous verges, and verges on local roads rather than collector roads. Neighbourhoods with proportionally more garden had more verge gardening. With the exception of the oldest streets in our study, streets that were newer had more verge gardening than those that were older. The presence of street trees planted by local government was associated with less verge gardening. Verge gardening was less common in neighbourhoods with greater social disadvantage, and spatial contagion increased the likelihood of neighbours having verge gardens. Local government can facilitate verge gardening through engagement, education, adopting alternative street types, using tree cut-outs to better strategic advantage, and targeting areas of social disadvantage.
C1 [Marshall, Adrian J.; Grose, Margaret J.] Univ Melbourne, Melbourne Sch Design, Bldg 133, Melbourne, Vic 3010, Australia.
   [Marshall, Adrian J.; Williams, Nicholas S. G.] Univ Melbourne, Sch Ecosyst & Forest Sci, Melbourne, Vic, Australia.
C3 University of Melbourne; University of Melbourne
RP Marshall, AJ (通讯作者)，Univ Melbourne, Melbourne Sch Design, Bldg 133, Melbourne, Vic 3010, Australia.
EM adrianjohnmarshall@gmail.com; mgrose@unimelb.edu.au; nsw@unimelb.edu.au
FU Federal Government Australian Postgraduate Award; Frank Keenan Scholarship; Australian Government Research Training Program Scholarship; Faculty of Architecture, Building and Planning Travel Scholarship; University of Melbourne's School of Design
CR African Conservation Trust, 2017, VERG GARD SHIFT CONS, V0, P0
   Unknown -, 2006, AUSTRALIAS QUARTER ACRE: THE STORY OF THE ORDINARY SUBURBAN GARDEN, V0, P0
   Unknown -, 2017, DEM WORLD URB AR, V13th, P0
   Unknown -, 1912, MOULTONS DIRECTORY S, V0, P0
   Unknown -, 2013, SUBMISSION PARLIAMEN, V0, P1
   Unknown -, 2017, MELWAY, V0, P0
   Unknown -, 1917, MORGANS STREET DIREC, V0, P0
   Unknown -, 2014, GUERRILLA GARDENING, V0, P0
   Armson D, 2013, URBAN FOR URBAN GREE, V12, P282, DOI 10.1016/j.ufug.2013.04.001
   Askew LE, 2004, AUST GEOGR, V35, P17, DOI 10.1080/0004918024000193702
   Australian Bureau of Statistics, 2018, REG POP GROWTH, V0, P2015
   Australian Bureau of Statistics, 2016, 1270055001 ASGS AUST, V1, P0
   Austroads, 2009, GUID ROAD SAF, V0, P0
   Ben-Joseph E, 2007, J AM PLAN ASS, V0, P37
   Biddulph M, 2010, J AM PLANN ASSOC, V76, P199, DOI 10.1080/01944361003622688
   Bowden-Butler E, 2001, STUD HIST GARD DES L, V21, P108
   Breen P, 2004, WSUD 2004: CITIES AS CATCHMENTS. INTERNATIONAL CONFERENCE ON WATER SENSITIVE URBAN DESIGN, V0, P0
   City of Monash, 2014, PLANTING NATURE STRI, V0, P0
   City of Whittlesea, 2015, URBAN NATURE STRIP G, V0, P0
   Cliff AndrewDavid, 1981, SPATIAL PROCESSES: MODELS APPLICATIONS, V0, P0
   Cogger C, 2016, SOWING SEEDS CITY EC, V0, PP1, DOI 10.1007/978-94-017-7453-6
   Collins street directory, 1922, COLLINS STREET DIREC, V0, P0
   Cook EM, 2012, URBAN ECOSYST, V15, P19, DOI 10.1007/s11252-011-0197-0
   de Vries S, 2013, SOC SCI MED, V94, P26, DOI 10.1016/j.socscimed.2013.06.030
   Dennis M, 2016, ECOSYST SERV, V17, P208, DOI 10.1016/j.ecoser.2016.01.003
   Department of Environment Land Water and Planning, 2017, ROAD NETW VICM TRANS, V0, P0
   Donovan GH, 2010, LANDSCAPE URBAN PLAN, V94, P77, DOI 10.1016/j.landurbplan.2009.07.019
   Dowling R, 2010, URBAN POLICY RES, V28, P391, DOI 10.1080/08111146.2010.508870
   Feagan RB, 1999, URBAN GEOGR, V20, P617, DOI 10.2747/0272-3638.20.7.617
   Fernández-Juricic E, 2001, BIODIVERS CONSERV, V10, P2023, DOI 10.1023/A:1013133308987
   Finley R, 2013, R FINLEY GUERILLA GA, V0, P0
   Garden JG, 2010, LANDSCAPE ECOL, V25, P1013, DOI 10.1007/s10980-010-9476-z
   Giles-Corti B, 2011, HEALTH PLACE, V17, P545, DOI 10.1016/j.healthplace.2010.12.011
   Gillner S, 2015, LANDSCAPE URBAN PLAN, V143, P33, DOI 10.1016/j.landurbplan.2015.06.005
   Goddard MA, 2013, ECOL ECON, V86, P258, DOI 10.1016/j.ecolecon.2012.07.016
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P90, DOI 10.1016/j.tree.2009.07.016
   Grove JM, 2006, ECOSYSTEMS, V9, P578, DOI 10.1007/s10021-006-0116-z
   Guitart D, 2012, URBAN FOR URBAN GREE, V11, P364, DOI 10.1016/j.ufug.2012.06.007
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Hadden E, 2014, HELLSTRIP GARDENING: CREATE A PARADISE BETWEEN THE SIDEWALK AND THE CURB, V0, P0
   Hall T, 2010, URBAN POLICY RES, V28, P411, DOI 10.1080/08111146.2010.496715
   Heritage Council of Victoria, 1999, VICT HER DAT, V0, P0
   Hochschild TR, 2013, CHILDHOOD, V20, P229, DOI 10.1177/0907568212458128
   Hunter MCR, 2012, LANDSCAPE URBAN PLAN, V105, P407, DOI 10.1016/j.landurbplan.2012.01.013
   Jenerette GD, 2011, ECOL APPL, V21, P2637, DOI 10.1890/10-1493.1
   Kendal D, 2012, URBAN FOR URBAN GREE, V11, P257, DOI 10.1016/j.ufug.2012.03.005
   Kiesling FM, 2010, J ENVIRON PSYCHOL, V30, P315, DOI 10.1016/j.jenvp.2010.02.004
   Kirkpatrick JB, 2007, LANDSCAPE URBAN PLAN, V79, P314, DOI 10.1016/j.landurbplan.2006.03.006
   Kirkpatrick JB, 2012, LANDSCAPE URBAN PLAN, V107, P147, DOI 10.1016/j.landurbplan.2012.05.015
   Kirkpatrick JB, 2011, LANDSCAPE URBAN PLAN, V101, P244, DOI 10.1016/j.landurbplan.2011.02.029
   Larsen L, 2006, LANDSCAPE URBAN PLAN, V78, P85, DOI 10.1016/j.landurbplan.2005.06.002
   Larson KL, 2010, HUM ECOL, V38, P747, DOI 10.1007/s10745-010-9359-6
   Lawson K, 2016, THE CANBERRA TIMES, V0, P0
   Leonard RJ, 2018, URBAN FOR URBAN GREE, V30, P108, DOI 10.1016/j.ufug.2018.01.016
   Lerman SB, 2012, ECOL SOC, V17, P0, DOI 10.5751/ES-05175-170445
   Leuzinger S, 2010, AGR FOREST METEOROL, V150, P56, DOI 10.1016/j.agrformet.2009.08.006
   Lin BB, 2017, LANDSCAPE URBAN PLAN, V157, P239, DOI 10.1016/j.landurbplan.2016.07.007
   Lovasi GS, 2008, J EPIDEMIOL COMMUN H, V62, P647, DOI 10.1136/jech.2007.071894
   Lowry JH, 2012, URBAN ECOSYST, V15, P247, DOI 10.1007/s11252-011-0185-4
   Marshall AJ, 2019, URBAN FOR URBAN GREE, V44, P0, DOI 10.1016/j.ufug.2019.126423
   Munshi-South J, 2012, MOL ECOL, V21, P1360, DOI 10.1111/j.1365-294X.2012.05476.x
   Mustafa D, 2010, ENVIRON PLANN D, V28, P600, DOI 10.1068/d13108
   Nassauer JI, 2009, LANDSCAPE URBAN PLAN, V92, P282, DOI 10.1016/j.landurbplan.2009.05.010
   Natural Habitats, 2018, VEG VERG NAT HEB, V0, P0
   Nesbitt L, 2019, LANDSCAPE URBAN PLAN, V181, P51, DOI 10.1016/j.landurbplan.2018.08.007
   Nielsen MB, 2015, URBAN ECOSYST, V18, P1103, DOI 10.1007/s11252-015-0471-7
   Nielson L, 2005, J AM WATER RESOUR AS, V41, P93, DOI 10.1111/j.1752-1688.2005.tb03720.x
   Oprea M, 2009, BIODIVERS CONSERV, V18, P2361, DOI 10.1007/s10531-009-9593-7
   Ossola A, 2019, LANDSCAPE URBAN PLAN, V185, P141, DOI 10.1016/j.landurbplan.2019.02.014
   Pauleit S, 2000, LANDSCAPE URBAN PLAN, V52, P1, DOI 10.1016/S0169-2046(00)00109-2
   Prévot AC, 2018, BIOL CONSERV, V226, P1, DOI 10.1016/j.biocon.2018.07.008
   RICHARDS NA, 1984, URBAN ECOL, V8, P99, DOI 10.1016/0304-4009(84)90009-3
   Säumel I, 2016, ENVIRON SCI POLICY, V62, P24, DOI 10.1016/j.envsci.2015.11.012
   Sands & McDougall, 1860, SANDS MCDOUGALLS MEL, V0, P0
   Sanusi R, 2016, J ENVIRON QUAL, V45, P167, DOI 10.2134/jeq2015.01.0039
   Schabenberger O, 2005, STATISTICAL METHODS FOR SPATIAL DATA ANALYSIS, V0, P0
   Shanahan Danielle F, 2015, AM J PUBLIC HEALTH, V105, P470, DOI 10.2105/AJPH.2014.302324
   Shire of Melton, 2019, NAT GUID BOOKL, V0, P0
   Standish RJ, 2013, LANDSCAPE ECOL, V28, P1213, DOI 10.1007/s10980-012-9752-1
   Taylor MS, 2015, LANDSCAPE URBAN PLAN, V136, P174, DOI 10.1016/j.landurbplan.2014.12.005
   Tews J, 2004, J BIOGEOGR, V31, P79, DOI 10.1046/j.0305-0270.2003.00994.x
   Threlfall CG, 2016, FRONT ECOL EVOL, V4, P0, DOI 10.3389/fevo.2016.00066
   Threlfall CG, 2017, J APPL ECOL, V54, P1874, DOI 10.1111/1365-2664.12876
   Vailshery LS, 2013, URBAN FOR URBAN GREE, V12, P408, DOI 10.1016/j.ufug.2013.03.002
   Von Hausen Michael, 2013, DYNAMIC URBAN DESIGN: A HANDBOOK FOR CREATING SUSTAINABLE COMMUNITIES WORLDWIDE, V0, P0
   VSN International, 2011, GENST 18 WIND, V0, P0
   Zagorski T, 2004, AUST GEOGR STUD, V42, P207, DOI 10.1111/j.1467-8470.2004.00260.x
   Zhou WQ, 2009, SOC NATUR RESOUR, V22, P744, DOI 10.1080/08941920802074330
NR 92
TC 20
Z9 25
U1 1
U2 31
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1618-8667
EI 1610-8167
J9 URBAN FOR URBAN GREE
JI Urban For. Urban Green.
PD AUG 15
PY 2019
VL 44
IS 
BP 
EP 
DI 10.1016/j.ufug.2019.126427
PG 13
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban Studies
GA IW2BY
UT WOS:000484779000023
DA 2026-05-02
ER

PT J
AU Agryzkov, T
   Tortosa, L
   Vicent, JF
   Wilson, R
AF Agryzkov, Taras
   Tortosa, Leandro
   Vicent, Jose F.
   Wilson, Richard
TI A centrality measure for urban networks based on the eigenvector centrality concept
SO ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
LA English
DT Article
DE Network graphs; street networks; spatial analysis; network centrality; eigenvector centrality
ID street centrality; algorithm; location; retail
AB A massive amount of information as geo-referenced data is now emerging from the digitization of contemporary cities. Urban streets networks are characterized by a fairly uniform degree distribution and a low degree range. Therefore, the analysis of the graph constructed from the topology of the urban layout does not provide significant information when studying topology-based centrality. On the other hand, we have collected geo-located data about the use of various buildings and facilities within the city. This does provide a rich source of information about the importance of various areas. Despite this, we still need to consider the influence of topology, as this determines the interaction between different areas. In this paper, we propose a new model of centrality for urban networks based on the concept of Eigenvector Centrality for urban street networks which incorporates information from both topology and data residing on the nodes. So, the centrality proposed is able to measure the influence of two factors, the topology of the network and the geo-referenced data extracted from the network and associated to the nodes. We detail how to compute the centrality measure and provide the rational behind it. Some numerical examples with small networks are performed to analyse the characteristics of the model. Finally, a detailed example of a real urban street network is discussed, taking a real set of data obtained from a fieldwork, regarding the commercial activity developed in the city.
C1 [Agryzkov, Taras; Tortosa, Leandro; Vicent, Jose F.] Univ Alacant, Carretera St Vicente Raspeig S-N, Alicante 03690, Spain.
   [Wilson, Richard] Univ York, Dept Comp Sci, York, N Yorkshire, England.
C3 Universitat d'Alacant; University of York - UK
RP Tortosa, L (通讯作者)，Univ Alacant, Carretera St Vicente Raspeig S-N, Alicante 03690, Spain.
EM tortosa@ua.es
FU Spanish Government [TIN2014-53588-P]
CR Agryzkov T, 2012, APPL MATH COMPUT, V219, P2186, DOI 10.1016/j.amc.2012.08.064
   Batty M, 2013, NEW SCI CITIES, V0, P0
   Berkhin P, 2005, INTERNET MATH, V2, P73, DOI 10.1080/15427951.2005.10129098
   BONACICH P, 1991, SOC NETWORKS, V13, P155, DOI 10.1016/0378-8733(91)90018-O
   BONACICH P, 1987, AM J SOCIOL, V92, P1170, DOI 10.1086/228631
   Bradlow ET, 2005, MARKET LETT, V16, P267, DOI 10.1007/s11002-005-5891-3
   Brandes U, 2001, J MATH SOCIOL, V25, P163, DOI 10.1080/0022250X.2001.9990249
   Chambers R, 1988, APPL PRODUCTION ANAL, V0, P0
   Crucitti P, 2006, PHYS REV E, V73, P0, DOI 10.1103/PhysRevE.73.036125
   Fischer MM, 2011, SPRINGERBR REG SCI, V0, PP1, DOI 10.1007/978-3-642-21720-3
   FREEMAN LC, 1979, SOC NETWORKS, V1, P215, DOI 10.1016/0378-8733(78)90021-7
   FREEMAN LC, 1991, SOC NETWORKS, V13, P141, DOI 10.1016/0378-8733(91)90017-N
   FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
   Haining RobertP, 2003, SPATIAL DATA ANAL TH, V0, P0
   HILLIER B, 1989, EKISTICS, V56, P5
   Hillier Bill, 1999, SPACE IS THE MACHINE: A CONFIGURATIONAL THEORY OF ARCHITECTURE, V0, P0
   Hillier Bill, 2007, PROGRESSIN PLANNING, V67, P205, DOI 10.1016/J.PROGRESS.2007.03.001
   Hillier Bill, 1988, THE SOCIAL LOGIC OF SPACE, V0, P0
   Jiang B, 2002, T GIS, V6, P295, DOI 10.1111/1467-9671.00112
   Katz Leo, 1953, PSYCHOMETRIKA, V18, P39, DOI 10.1007/BF02289026
   Langville AN, 2004, INTERNET MATHEMATICS, V1, P335, DOI 10.1080/15427951.2004.10129091
   Latora V, 2004, A MEASURE OF CENTRALITY BASED ON NETWORK EFFICIENCY, V0, P0
   Newman MEJ, 2003, A MEASURE OF BETWEENNESS CENTRALITY BASED ON RANDOM WALKS, V0, P0
   NIEMINEN J, 1974, SCAND J PSYCHOL, V15, P332, DOI 10.1111/j.1467-9450.1974.tb00598.x
   Oyana TJMargai, 2015, SPATIAL ANALYSIS: STATISTICS, Visualization, P0
   Page L, 1999, 199966 STANF INFOLAB, V0, P0
   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
   Porta S, 2012, URBAN STUD, V49, P1471, DOI 10.1177/0042098011422570
   Porta S, 2009, ENVIRON PLANN B, V36, P450, DOI 10.1068/b34098
   SABIDUSSI G, 1966, PSYCHOMETRIKA, V31, P581, DOI 10.1007/BF02289527
   Salingaros NikosA, 1998, JOURNAL OF URBAN DESIGN, V3/1, P53, DOI 10.1080/13574809808724416
   Sevtsuk A, 2012, URBAN NETWORK ANAL T, V0, P0, DOI DOI 10.3166/RIG.22.287-305
   Sevtsuk A, 2010, THESIS MIT, V0, P0
   Sevtsuk A, 2014, J PLAN EDUC RES, V34, P374, DOI 10.1177/0739456X14550401
NR 38
TC 50
Z9 57
U1 1
U2 24
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 2399-8083
EI 2399-8091
J9 ENVIRON PLAN B-URBAN
JI Env. Plan. B-Urban Anal. City Sci.
PD MAY 15
PY 2019
VL 46
IS 4
BP 668
EP 689
DI 10.1177/2399808317724444
PG 22
WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies
SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies
GA IC3JU
UT WOS:000470857200005
DA 2026-05-02
ER

