IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v52y2025i5d10.1007_s11116-024-10478-5.html
   My bibliography  Save this article

Bike lanes and ability to summon an autonomous scooter can increase willingness to use micromobility

Author

Listed:
  • Tianqi Zou

    (University of Washington)

  • Don MacKenzie

    (University of Washington)

Abstract

This paper investigates factors affecting people’s preferences for shared micromobility when autonomous technology is available. Using combined stated and revealed preference data from an online choice experiment, focusing on vehicle availability, bike infrastructure, and first and last mile connection to transit, this study is one of the first explorations on the intersection of shared micromobility and autonomous technology. Results from a mixed logit mode choice model suggest that access and drop off walking time have higher disutility than micromobility riding time, and autonomous technology that allows riders to summon a micromobility vehicle has the potential to reduce that disutility. Model results also confirm that whether people choose to use micromobility modes depends strongly on bike lane coverage of the trip they are making. While there are still many uncertainties and concerns about autonomous technology, this study can serve as the foundation for analyzing autonomous shared micromobility demand and providing broader implications for service providers, transportation planners, and policy makers to define business models, design and implement infrastructure, and regulate system operations.

Suggested Citation

  • Tianqi Zou & Don MacKenzie, 2025. "Bike lanes and ability to summon an autonomous scooter can increase willingness to use micromobility," Transportation, Springer, vol. 52(5), pages 1887-1904, October.
  • Handle: RePEc:kap:transp:v:52:y:2025:i:5:d:10.1007_s11116-024-10478-5
    DOI: 10.1007/s11116-024-10478-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-024-10478-5
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11116-024-10478-5?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:kap:transp:v:52:y:2025:i:5:d:10.1007_s11116-024-10478-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.