IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v181y2024ics096585642400048x.html
   My bibliography  Save this article

Mode choice modeling for an electric vertical takeoff and landing (eVTOL) air taxi commuting service

Author

Listed:
  • Boddupalli, Sreekar-Shashank
  • Garrow, Laurie A.
  • German, Brian J.
  • Newman, Jeffrey P.

Abstract

In this study, a stated choice experiment was conducted to better understand individuals’ preferences for an air taxi commute service. Random taste parameter models with panel effects were used to model the choice among: (1) traditional auto, (2) transit, and (3) air taxi. We find that individuals who are male and are frequent ridesharing users are more likely to select the air taxi. A non-trader analysis of individuals who always selected the same mode across our eight stated choice scenarios showed that air taxi preferences are heterogeneous and polarized, with 14 percent always selecting air taxi and 14 percent never selecting air taxi. Among the traders, significant variation across individuals’ value of time (VOT) was observed. Results based on a negative lognormal distribution show the median in-vehicle VOTs for the air taxi mode was about 25 USD/hour, but 10 percent had VOTs higher than 64 USD/hour. Our results highlight the need for future studies of potential market demand for eVTOL aircraft to incorporate the percentage of the population who will likely never consider using an air taxi, as well as the distribution of VOTs for those who will consider using this new mode.

Suggested Citation

  • Boddupalli, Sreekar-Shashank & Garrow, Laurie A. & German, Brian J. & Newman, Jeffrey P., 2024. "Mode choice modeling for an electric vertical takeoff and landing (eVTOL) air taxi commuting service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    • Handle: RePEc:eee:transa:v:181:y:2024:i:c:s096585642400048x
    DOI: 10.1016/j.tra.2024.104000
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096585642400048X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2024.104000?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:181:y:2024:i:c:s096585642400048x. 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.