IDEAS home Printed from https://ideas.repec.org/h/spr/trachp/978-3-030-72976-9_1.html
   My bibliography  Save this book chapter

Autonomous on-Demand Vehicles and the (R)evolution of Public Transport Business Models

In: The Robomobility Revolution of Urban Public Transport

Author

Listed:
  • Fabio Antonialli

    (École Centrale Lyon)

Abstract

This chapter brings an overview of the evolution of automation in public transport, from the first automated metros until the most recent advances and trials in mixed-traffic conditions with Autonomous Vehicles for Collective Transport (AVCTs). It presents a typology of uses with five stages of on-demand services with AVCTs exemplified by many cutting edge experimentations distributed among the five proposed stages. The arrival of AVCTs shows an imminent disruption in the history of public transport, reconfiguring not only the forms of use but also its whole business model structure.

Suggested Citation

  • Fabio Antonialli, 2021. "Autonomous on-Demand Vehicles and the (R)evolution of Public Transport Business Models," Transportation Research, Economics and Policy, in: Sylvie Mira-Bonnardel & Fabio Antonialli & Danielle Attias (ed.), The Robomobility Revolution of Urban Public Transport, chapter 0, pages 3-21, Springer.
    • Handle: RePEc:spr:trachp:978-3-030-72976-9_1
    DOI: 10.1007/978-3-030-72976-9_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:trachp:978-3-030-72976-9_1. 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.