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Assessing Urban Transport Systems through the Lens of Individual Behavior: Shenzhen and Hong Kong


  • Shengyuan Zhang

    () (Division of Social Science, Hong Kong University of Science and Technology)

  • Jimin Zhao

    () (Division of Social Science, Hong Kong University of Science and Technology
    Institute for Emerging Market Studies, Hong Kong University of Science and Technology)


This study aims to understand the existing urban passenger transport system in Hong and Shenzhen from the perspective of human travel behavior, examining closely what policy and individual factors influence individual travel behavior in the two cities. The research is based on comparisons drawn from household and individual travel surveys conducted in Shenzhen in 2014 and in Hong Kong in 2002 and 2011. Hong Kong operates a more efficient urban passenger transport system than Shenzhen in terms of prioritizing use of public transport and restricting the use of cars. However, due to lack of strong government leadership, Hong Kong lags behind Shenzhen in promoting EVs. Both cities have had little success promoting nonmotorized transportation because of the greater appeal of alternative transportation modes.

Suggested Citation

  • Shengyuan Zhang & Jimin Zhao, 2016. "Assessing Urban Transport Systems through the Lens of Individual Behavior: Shenzhen and Hong Kong," HKUST IEMS Working Paper Series 2016-34, HKUST Institute for Emerging Market Studies, revised Jun 2016.
  • Handle: RePEc:hku:wpaper:201634

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    References listed on IDEAS

    1. Dillon, Harya S. & Saphores, Jean-Daniel & Boarnet, Marlon G., 2015. "The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey," Research in Transportation Economics, Elsevier, vol. 52(C), pages 23-33.
    2. Pasaoglu, Guzay & Zubaryeva, Alyona & Fiorello, Davide & Thiel, Christian, 2014. "Analysis of European mobility surveys and their potential to support studies on the impact of electric vehicles on energy and infrastructure needs in Europe," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 41-50.
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    ASIF; carbon emissions; energy consumption; urban transportation; scenario analysis; transportation policy;

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