IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v194y2025ics096585642500059x.html
   My bibliography  Save this article

On measuring walking accessibility: A link-based utility approach

Author

Listed:
  • Liang, Zheng
  • Lo, Hong K.
  • Ng, Ka Fai
  • Axhausen, Kay W.

Abstract

This study formulates a measure of walking accessibility that takes into account the impacts of seven street-level walking attributes, including sidewalk length, footbridge, staircases, at-grade crosswalk, tunnel, ramp, and escalators based on the random utility theory. We integrate the measure with the link-based recursive logit model, which is calibrated with revealed route choice data collected through an unobtrusive pedestrian following survey. This link-based walking accessibility measure does not require knowledge of the path sets, and hence can provide an unbiased accessibility assessment independent of path choice generation. We apply this approach to analyze the performance of walking accessibility to the Kwun Tong Mass Transit Railway station in Hong Kong as a case study. The proposed approach can be used as a practical tool to identify areas with deficient walking accessibility that need improvement and to forecast the expected outcome of any improvement schemes without bias.

Suggested Citation

  • Liang, Zheng & Lo, Hong K. & Ng, Ka Fai & Axhausen, Kay W., 2025. "On measuring walking accessibility: A link-based utility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 194(C).
  • Handle: RePEc:eee:transa:v:194:y:2025:i:c:s096585642500059x
    DOI: 10.1016/j.tra.2025.104431
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096585642500059X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2025.104431?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.

    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:eee:transa:v:194:y:2025:i:c:s096585642500059x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.