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Influence of Urban Form on Travel Behaviour in Four Neighbourhoods of Shanghai

Author

Listed:
  • Haixiao Pan

    (Department of Urban Planning, Tongji University, Siping Road, Shanghai, China 200092, hxpank@online.sh.cn)

  • Qing Shen

    (School of Architecture, Planning, and Preservation, University of Maryland College Park, MD 20742, USA, qshen@umd.edu)

  • Ming Zhang

    (School of Architecture, University of Texas at Austin, 1 University Station B7500, Austin, Texas, TX 78712, USA, zhangm@mail.utexas.edu)

Abstract

Since the 1980s, much of the new urban development in China has departed significantly from the traditional pedestrian and bicycle-oriented urban form. This study examines the effects of the urban spatial transformation on travel, based on a travel survey of 1709 individuals from four selected neighbourhoods of Shanghai. Although pedestrian/ cyclist-friendly urban form may not avert the general trend of motorisation growth induced by rising income, it does help to slow down the pace of growth and reduces the need for high levels of motor vehicle ownership. In the pedestrian/cyclist-friendly neighbourhoods, residents travel shorter distances than in other neighbourhoods even though the same modes of travel are used. Pedestrian/cyclist-friendly urban form makes the non-motorised modes feasible options, which is essential to limit automobile dependence. These findings suggest that land use planning and urban design can effectively influence people's mobility demand and travel behaviour towards achieving `green transport' in urban China.

Suggested Citation

  • Haixiao Pan & Qing Shen & Ming Zhang, 2009. "Influence of Urban Form on Travel Behaviour in Four Neighbourhoods of Shanghai," Urban Studies, Urban Studies Journal Limited, vol. 46(2), pages 275-294, February.
    • Handle: RePEc:sae:urbstu:v:46:y:2009:i:2:p:275-294
    DOI: 10.1177/0042098008099355
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    References listed on IDEAS

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    2. Wang, Donggen & Chai, Yanwei & Li, Fei, 2011. "Built environment diversities and activity–travel behaviour variations in Beijing, China," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1173-1186.
    3. Dong Lin & Andrew Allan & Jianqiang Cui, 2016. "Exploring Differences in Commuting Behaviour among Various Income Groups during Polycentric Urban Development in China: New Evidence and Its Implications," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    4. Ao, Yibin & Yang, Dujuan & Chen, Chuan & Wang, Yan, 2019. "Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan, China," Journal of Transport Geography, Elsevier, vol. 74(C), pages 24-36.
    5. Lijie Gao & Shenghui Cui & Dewei Yang & Lina Tang & Jonathan Vause & Lishan Xiao & Xuanqi Li & Longyu Shi, 2016. "Sustainability and Chinese Urban Settlements: Extending the Metabolism Model of Emergy Evaluation," Sustainability, MDPI, vol. 8(5), pages 1-17, May.
    6. Jianxi Feng & Martin Dijst & Bart Wissink & Jan Prillwitz, 2014. "Understanding Mode Choice in the Chinese Context: The Case of Nanjing Metropolitan Area," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(3), pages 315-330, July.
    7. Bindong Sun & Tinglin Zhang & Zhou He & Rui Wang, 2017. "Urban Spatial Structure And Motorization In China," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 470-486, June.
    8. Mi-Kyeong Kim & Sangpil Kim & Hong-Gyoo Sohn, 2018. "Relationship between Spatio-Temporal Travel Patterns Derived from Smart-Card Data and Local Environmental Characteristics of Seoul, Korea," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    9. Huihui Wang & Weihua Zeng, 2019. "Revealing Urban Carbon Dioxide (CO 2 ) Emission Characteristics and Influencing Mechanisms from the Perspective of Commuting," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    10. Long Zhou & Guoqiang Shen & Yao Wu & Robert Brown & Tian Chen & Chenyu Wang, 2018. "Urban Form, Growth, and Accessibility in Space and Time: Anatomy of Land Use at the Parcel-Level in a Small to Medium-Sized American City," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    11. 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.
    12. Shen, Yue & Chai, Yanwei & Kwan, Mei-Po, 2015. "Space–time fixity and flexibility of daily activities and the built environment: A case study of different types of communities in Beijing suburbs," Journal of Transport Geography, Elsevier, vol. 47(C), pages 90-99.
    13. Donggen Wang & Tao Lin, 2019. "Built environment, travel behavior, and residential self-selection: a study based on panel data from Beijing, China," Transportation, Springer, vol. 46(1), pages 51-74, February.
    14. Jiang, Yang & Christopher Zegras, P. & Mehndiratta, Shomik, 2012. "Walk the line: station context, corridor type and bus rapid transit walk access in Jinan, China," Journal of Transport Geography, Elsevier, vol. 20(1), pages 1-14.
    15. Zhao, Pengjun, 2014. "Private motorised urban mobility in China’s large cities: the social causes of change and an agenda for future research," Journal of Transport Geography, Elsevier, vol. 40(C), pages 53-63.
    16. Andrew R. Watkins, 2016. "Commuting Flows and Labour Market Structure: Modelling Journey to Work Behaviour in an Urban Environment," Growth and Change, Wiley Blackwell, vol. 47(4), pages 612-630, December.
    17. Chen, Yulin, 2019. "Neighborhood form and residents' walking and biking distance to food markets: Evidence from Beijing, China," Transport Policy, Elsevier, vol. 81(C), pages 340-349.
    18. Wang, Donggen & Lin, Tao, 2013. "Built environments, social environments, and activity-travel behavior: a case study of Hong Kong," Journal of Transport Geography, Elsevier, vol. 31(C), pages 286-295.

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