IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v48y2025i5p1047-1069.html
   My bibliography  Save this article

Investigating work commuters mode choice behavior in Dalian city during pandemic: a hybrid choice model approach

Author

Listed:
  • Krishna Bhattarai
  • Shengchuan Zhao
  • EI Bachir Diop
  • Dong Zhang
  • Manmohan Joshi

Abstract

This study examined commuters' mode choice behavior during the COVID-19 pandemic, focusing on the impact of both tangibles and intangibles factors. To do so, the authors developed a Hybrid Choice Model (HCM) which investigated the effects of sociodemographic characteristics, travel attributes, and intangible factors such as satisfaction, safety, and discomfort, on travel behavior. The model was tested using Stated Preference data collected from commuters in Dalian City (China) via wenjuanxing, an online survey platform. The results indicate that individual characteristics played a significant role in shaping people's perceptions and mode choice behavior was influenced by sociodemographic factors, travel characteristics, and the aforementioned intangible factors. More specifically, individuals, who perceived a higher level of safety, measured in terms of worries about robbery, accidents, and pandemic concerns, were less likely to choose cars. People with a stronger perception of discomfort favored metro over bus. Private car users reported higher satisfaction. The findings will be useful to policymakers for establishing more resilient transport solutions.

Suggested Citation

  • Krishna Bhattarai & Shengchuan Zhao & EI Bachir Diop & Dong Zhang & Manmohan Joshi, 2025. "Investigating work commuters mode choice behavior in Dalian city during pandemic: a hybrid choice model approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 48(5), pages 1047-1069, July.
  • Handle: RePEc:taf:transp:v:48:y:2025:i:5:p:1047-1069
    DOI: 10.1080/03081060.2024.2410317
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2024.2410317
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03081060.2024.2410317?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:48:y:2025:i:5:p:1047-1069. 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.