TY - JOUR
T1 - Urban spatial structure and commute duration
T2 - An empirical study of China
AU - Sun, Bindong
AU - He, Zhou
AU - Zhang, Tinglin
AU - Wang, Rui
N1 - Publisher Copyright:
© 2016 Taylor & Francis Group, LLC.
PY - 2016/8/8
Y1 - 2016/8/8
N2 - Urban traffic is embedded in and fundamentally shaped by the spatial pattern of urban land use, such as city size, density, extent of polycentricity, and the relationship between employment and residential locations. Previous evidence, mainly from European and American cities, suggests that the duration of commute trips increases with city size and the spatial separation between jobs and housing. On the other hand, the influences of density and polycentricity are less clear. Using data from 164 cities in China, this study empirically analyzes the relationship between city average commute duration and multiple dimensions of urban spatial structure. Controlling for economic, demographic, and infrastructure characteristics, we find that commute duration correlates positively with city size and jobs–housing separation but negatively with density and polycentricity. As one of the earliest studies on commute cost in the rapidly urbanizing and motorizing Chinese cities, this study can help Chinese decision makers improve urban economic and environmental efficiency through spatial planning and policy making. Specifically, compact, mixed-use, and polycentric spatial development may ease the burden of commute, and thus substitute for unnecessary infrastructure investment and energy consumption during a period of rapid urban expansion in China.
AB - Urban traffic is embedded in and fundamentally shaped by the spatial pattern of urban land use, such as city size, density, extent of polycentricity, and the relationship between employment and residential locations. Previous evidence, mainly from European and American cities, suggests that the duration of commute trips increases with city size and the spatial separation between jobs and housing. On the other hand, the influences of density and polycentricity are less clear. Using data from 164 cities in China, this study empirically analyzes the relationship between city average commute duration and multiple dimensions of urban spatial structure. Controlling for economic, demographic, and infrastructure characteristics, we find that commute duration correlates positively with city size and jobs–housing separation but negatively with density and polycentricity. As one of the earliest studies on commute cost in the rapidly urbanizing and motorizing Chinese cities, this study can help Chinese decision makers improve urban economic and environmental efficiency through spatial planning and policy making. Specifically, compact, mixed-use, and polycentric spatial development may ease the burden of commute, and thus substitute for unnecessary infrastructure investment and energy consumption during a period of rapid urban expansion in China.
KW - China
KW - city size
KW - commute duration
KW - jobs–housing balance
KW - polycentricity
KW - urban spatial structure
UR - http://www.scopus.com/inward/record.url?scp=84975886646&partnerID=8YFLogxK
U2 - 10.1080/15568318.2015.1042175
DO - 10.1080/15568318.2015.1042175
M3 - Article
AN - SCOPUS:84975886646
SN - 1556-8318
VL - 10
SP - 638
EP - 644
JO - International Journal of Sustainable Transportation
JF - International Journal of Sustainable Transportation
IS - 7
ER -