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Polycentric spatial structure and travel mode choice: the case of Shenzhen, China

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  • Yan Song
  • Yanping Chen
  • Xiaohong Pan

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  • Yan Song & Yanping Chen & Xiaohong Pan, 2012. "Polycentric spatial structure and travel mode choice: the case of Shenzhen, China," Regional Science Policy & Practice, Wiley Blackwell, vol. 4(4), pages 479-493, November.
    • Handle: RePEc:bla:rgscpp:v:4:y:2012:i:4:p:479-493
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    File URL: http://hdl.handle.net/10.1111/rsp3.2012.4.issue-4
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    Cited by:

    1. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Teller, David, 2020. "Study design impacts on built environment and transit use research," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Guo, Yuanyuan & He, Sylvia Y., 2021. "The role of objective and perceived built environments in affecting dockless bike-sharing as a feeder mode choice of metro commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 377-396.
    3. Ke Wang & Chandra R. Bhat & Xin Ye, 2023. "A multinomial probit analysis of shanghai commute mode choice," Transportation, Springer, vol. 50(4), pages 1471-1495, August.
    4. Zhang, Mengzhu & Zhao, Pengjun, 2021. "Literature review on urban transport equity in transitional China: From empirical studies to universal knowledge," Journal of Transport Geography, Elsevier, vol. 96(C).
    5. Jiansheng Wu & Tengyun Yi & Han Wang & Hongliang Wang & Jiayi Fu & Yuhao Zhao, 2022. "Evaluation of Medical Carrying Capacity for Megacities from a Traffic Analysis Zone View: A Case Study in Shenzhen, China," Land, MDPI, vol. 11(6), pages 1-19, June.
    6. Xiaoyan Li & Yanchuan Mou & Huiying Wang & Chaohui Yin & Qingsong He, 2018. "How Does Polycentric Urban Form Affect Urban Commuting? Quantitative Measurement Using Geographical Big Data of 100 Cities in China," Sustainability, MDPI, vol. 10(12), pages 1-14, December.

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