IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v200y2025ics0965856425002563.html
   My bibliography  Save this article

Mode-choice modelling of a sustainable mobility transition considering different bicycle types

Author

Listed:
  • de Freitas, Lucas Meyer
  • Bekhor, Shlomo
  • Axhausen, Kay W.

Abstract

This paper investigates the mode-shift potentials of a road-space reallocation policy to reduce car use, improve liveability, and reduce transport-related emissions in urban areas. We show the mode-choice effects of repurposing 46 % of Zürich road surface area from cars to bicycles, e-bikes (25 km/h) and s-pedelecs (45 km/h) as well as internalizing external transport costs. The preferences for the different modes are analysed and discussed through the estimation of an Integrated Choice and Latent Variable mode-choice model. The model results show how s-pedelecs and e-bikes have a substantially higher demand potential than conventional bicycles among car drivers. At the same time, latent preferences are not only defined through car ownership in a binary way, namely owning a car or not, but also vary substantially when comparing owners of different car types. Besides considering individual-specific cycling travel times for the three different bicycle types, we also advance mode-choice modelling for cycling by introducing a new cycling infrastructure interaction parameter that includes route-specific cycling infrastructure information. Findings show that reallocating road space is more effective in promoting sustainable mobility than pricing mechanisms alone, highlighting the need for integrated policy measures to facilitate behavioral change.

Suggested Citation

  • de Freitas, Lucas Meyer & Bekhor, Shlomo & Axhausen, Kay W., 2025. "Mode-choice modelling of a sustainable mobility transition considering different bicycle types," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:transa:v:200:y:2025:i:c:s0965856425002563
    DOI: 10.1016/j.tra.2025.104628
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856425002563
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2025.104628?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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:transa:v:200:y:2025:i:c:s0965856425002563. 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.