IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v49y2026i3p435-459.html

Identifying key factors associated with commuting burden and modelling their non-linear relationships: the case study of Shenzhen, China

Author

Listed:
  • Bo Wang
  • Qian Liu
  • Jixiang Liu
  • Yulin Jiang

Abstract

Being closely related to quality of life, commuting burden has received increasing academic attention, especially for its influencing factors, such as land use and transportation infrastructures. However, scholars have seldom investigated different dimensions of commuting burden simultaneously. Furthermore, linear or generalised linear assumptions dominate previous studies regarding built environment-commuting burden associations. Therefore, employing mobile phone location data in Shenzhen, China, and utilising K-means Clustering and Gradient Boosting Decision Tree methods, this study examines the refined non-linear relationships between the built environment and commuting burden. It finds: (1) three commuting burden patterns are observed; (2) the built environment has the largest collective contribution for predicting commuting burden, and the residential environment is more important than the workplace environment; (3) nonlinearity generally exists in the relationships between the built environment and commuting burden. This study enriches the literature regarding commuting burden and its influencing factors and provides policy references for commuting burden mitigation.

Suggested Citation

  • Bo Wang & Qian Liu & Jixiang Liu & Yulin Jiang, 2026. "Identifying key factors associated with commuting burden and modelling their non-linear relationships: the case study of Shenzhen, China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 49(3), pages 435-459, April.
    • Handle: RePEc:taf:transp:v:49:y:2026:i:3:p:435-459
    DOI: 10.1080/03081060.2025.2490843
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2025.2490843
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2025.2490843?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

    for a different version of it.

    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:49:y:2026:i:3:p:435-459. 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.