IDEAS home Printed from https://ideas.repec.org/a/taf/cjudxx/v22y2017i6p796-811.html
   My bibliography  Save this article

Plan pedestrian friendly environments around subway stations: lessons from Shanghai, China

Author

Listed:
  • Junfeng Jiao
  • Yong Chen
  • Ning He

Abstract

This research investigated pedestrians’ route directness, waiting time and satisfaction around subway stations in Shanghai, China. Twelve stations were selected from three different zones of the city. Six hundred questionnaires on people’s walking activities were collected. Results showed stations in the old city-centre had the best pedestrian route directness value and lowest waiting time followed by stations in the mid-ring and outer suburbs. Mid-ring stations had the best overall pedestrian satisfaction followed by stations in the old city centre and outer suburbs, which indicated there were other factors affecting pedestrians’ overall satisfaction other than walking directness and waiting time.

Suggested Citation

  • Junfeng Jiao & Yong Chen & Ning He, 2017. "Plan pedestrian friendly environments around subway stations: lessons from Shanghai, China," Journal of Urban Design, Taylor & Francis Journals, vol. 22(6), pages 796-811, November.
    • Handle: RePEc:taf:cjudxx:v:22:y:2017:i:6:p:796-811
    DOI: 10.1080/13574809.2017.1336060
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13574809.2017.1336060
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13574809.2017.1336060?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhenqi Zhou & Zhen Xu, 2020. "Detecting the Pedestrian Shed and Walking Route Environment of Urban Parks with Open-Source Data: A Case Study in Nanjing, China," IJERPH, MDPI, vol. 17(13), pages 1-16, July.
    2. UnHyo Kim & Jeongwoo Lee & Sylvia Y. He, 2021. "Pedestrianization Impacts on Air Quality Perceptions and Environment Satisfaction: The Case of Regenerated Streets in Downtown Seoul," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
    3. Sun, Guibo & Wallace, Dugald & Webster, Chris, 2020. "Unravelling the impact of street network structure and gated community layout in development-oriented transit design," Land Use Policy, Elsevier, vol. 90(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:cjudxx:v:22:y:2017:i:6:p:796-811. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/cjud20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.