IDEAS home Printed from https://ideas.repec.org/p/oec/itfaab/2017-09-en.html
   My bibliography  Save this paper

Shared Automated Vehicles: Review of Business Models

Author

Listed:
  • Adam Stocker

    (Transportation Sustainability Research Center)

  • Susan Shaheen

    (Transportation Sustainability Research Center)

Abstract

This paper provides an introduction to the current state of vehicle automation and shared mobility. The paper discusses current shared mobility business models to foster a better understanding of these systems at present and to set the stage for possible future shared automated vehicle (SAV) business models. The discussion covers current SAV pilot projects around the world and then explores potential SAV business and service models considering high or full automation (Level 4 and higher). The paper ends with a discussion of the literature regarding projected SAV impacts. Although the future of SAVs is uncertain, this briefing paper begins the dialogue around SAV business models that may develop, which are informed by current shared mobility services.

Suggested Citation

  • Adam Stocker & Susan Shaheen, 2017. "Shared Automated Vehicles: Review of Business Models," International Transport Forum Discussion Papers 2017/09, OECD Publishing.
  • Handle: RePEc:oec:itfaab:2017/09-en
    DOI: 10.1787/11bcbc7c-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/11bcbc7c-en
    Download Restriction: no

    File URL: https://libkey.io/10.1787/11bcbc7c-en?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohamed Alawadhi & Jumah Almazrouie & Mohammed Kamil & Khalil Abdelrazek Khalil, 2020. "Review and analysis of the importance of autonomous vehicles liability: a systematic literature review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1227-1249, December.
    2. Xiaowei Chen & Hongyu Zheng & Ze Wang & Xiqun Chen, 2021. "Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires," Transportation, Springer, vol. 48(4), pages 1541-1561, August.
    3. Cláudia A. Soares Machado & Nicolas Patrick Marie De Salles Hue & Fernando Tobal Berssaneti & José Alberto Quintanilha, 2018. "An Overview of Shared Mobility," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    4. Alejandro Tirachini, 2020. "Ride-hailing, travel behaviour and sustainable mobility: an international review," Transportation, Springer, vol. 47(4), pages 2011-2047, August.
    5. Félix Carreyre & Nicolas Coulombel & Jaâfar Berrada & Laurent Bouillaut, 2022. "Economic evaluation of autonomous passenger transportation services: a systematic review and meta-analysis of simulation studies," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 89-138.
    6. Berrada, Jaâfar & Mouhoubi, Ilyes & Christoforou, Zoi, 2020. "Factors of successful implementation and diffusion of services based on autonomous vehicles: users’ acceptance and operators’ profitability," Research in Transportation Economics, Elsevier, vol. 83(C).
    7. Behram Wali & Paolo Santi & Carlo Ratti, 2023. "A joint demand modeling framework for ride-sourcing and dynamic ridesharing services: a geo-additive Markov random field based heterogeneous copula framework," Transportation, Springer, vol. 50(5), pages 1809-1845, October.
    8. Barbour, Natalia & Menon, Nikhil & Zhang, Yu & Mannering, Fred, 2019. "Shared automated vehicles: A statistical analysis of consumer use likelihoods and concerns," Transport Policy, Elsevier, vol. 80(C), pages 86-93.
    9. Lucia Rotaris & Marko Bumbulovic, 2020. "Carsharing: Business models, and role of the decision maker," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(1), pages 63-94.
    10. Yang, Hongtai & Luo, Peng & Li, Chaojing & Zhai, Guocong & Yeh, Anthony G.O., 2023. "Nonlinear effects of fare discounts and built environment on ridesplitting adoption rates," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    11. Mohamed Alawadhi & Jumah Almazrouie & Mohammed Kamil & Khalil Abdelrazek Khalil, 0. "Review and analysis of the importance of autonomous vehicles liability: a systematic literature review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-23.
    12. Gelauff, George & Ossokina, Ioulia & Teulings, Coen, 2019. "Spatial and welfare effects of automated driving: Will cities grow, decline or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 277-294.
    13. Dean, Matthew D. & Kockelman, Kara M., 2021. "Spatial variation in shared ride-hail trip demand and factors contributing to sharing: Lessons from Chicago," Journal of Transport Geography, Elsevier, vol. 91(C).
    14. Laura Heubeck & Franziska Hartwich & Franziska Bocklisch, 2023. "To Share or Not to Share—Expected Transportation Mode Changes Given Different Types of Fully Automated Vehicles," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    15. Abe, Ryosuke, 2019. "Introducing autonomous buses and taxis: Quantifying the potential benefits in Japanese transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 94-113.
    16. Cleophas, Catherine & Cottrill, Caitlin & Ehmke, Jan Fabian & Tierney, Kevin, 2019. "Collaborative urban transportation: Recent advances in theory and practice," European Journal of Operational Research, Elsevier, vol. 273(3), pages 801-816.
    17. Vij, Akshay & Ryan, Stacey & Sampson, Spring & Harris, Susan, 2020. "Consumer preferences for on-demand transport in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 823-839.
    18. Carlos Oliveira Cruz & Joaquim Miranda Sarmento, 2018. "Maximizing the value for money of road projects through digitalization," Competition and Regulation in Network Industries, , vol. 19(1-2), pages 69-92, March.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oec:itfaab:2017/09-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/itoecfr.html .

    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.