IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v46y2023i1p1-21.html
   My bibliography  Save this article

Social equity impacts of rail transit investments using community perceptions: evidence from Chongqing

Author

Listed:
  • Lixun Liu
  • Adam Dennett
  • Robin Hickman

Abstract

Urban transit systems have differential impacts across population groups, including the perceptions of impacts. Nevertheless, the evaluation of difference in perceived benefits of transport investment is under researched, and few attempts have been made to quantify the extent to which transport provision meets users’ requirements. This paper explores how the impact of rail transit on development and regeneration differs across different income groups and migrants, assessing equity dimensions that arise through surveys on residents’ perceptions, using evidence from Chongqing, China. The analysis utilises both MANOVA and discriminant analysis. The result shows that the lowest income group perceives they benefit least from the rail transit impacts, while the highest income group perceives they benefit most. There is a significant unequal perceived benefit distribution between migrants and local residents within the low-income groups. Reflections are made on policies and planning interventions which might be introduced to achieve greater social equity in impacts.

Suggested Citation

  • Lixun Liu & Adam Dennett & Robin Hickman, 2023. "Social equity impacts of rail transit investments using community perceptions: evidence from Chongqing," Transportation Planning and Technology, Taylor & Francis Journals, vol. 46(1), pages 1-21, January.
  • Handle: RePEc:taf:transp:v:46:y:2023:i:1:p:1-21
    DOI: 10.1080/03081060.2022.2152454
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2022.2152454
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03081060.2022.2152454?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. Lixun Liu & Yujiang Wang & Robin Hickman, 2023. "How Rail Transit Makes a Difference in People’s Multimodal Travel Behaviours: An Analysis with the XGBoost Method," Land, MDPI, vol. 12(3), pages 1-23, March.

    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:transp:v:46:y:2023:i:1:p:1-21. 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/GTPT20 .

    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.