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Shared Automated Mobility: Early Exploration and Potential Impacts

Author

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  • Stocker, Adam
  • Shaheen, Susan PhD

Abstract

Automated vehicles, if shared, have the potential to blur the lines between public and private transportation services. This chapter reviews possible future shared automated vehicle (SAV) business models and their potential impacts on travel behavior. By examining the impacts of non-automated shared mobility services like carsharing and ridesourcing, we foster a better understanding of how current shared mobility services affect user behavior. This serves as a starting point to explore the potential impact of SAV services. Several key studies covering the topic are discussed. Although the future of SAVs is uncertain, this chapter begins the dialogue around SAV business models that may develop, which are informed by current shared mobility services.

Suggested Citation

  • Stocker, Adam & Shaheen, Susan PhD, 2017. "Shared Automated Mobility: Early Exploration and Potential Impacts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5d55s8sp, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt5d55s8sp
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    Citations

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    Cited by:

    1. Shaheen, Susan & Cohen, Adam, 2018. "Shared ride services in North America: definitions, impacts, and the future of pooling," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2wr9q8c2, Institute of Transportation Studies, UC Berkeley.
    2. Lazarus, Jessica & Shaheen, Susan PhD & Young, Stanley & Fagnant, Daniel & Voege, Tom & Baumgardner, Will & Fishelson, James & Lott, Sam, 2017. "Shared Automated Mobility and Public Transport," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6589k2h1, Institute of Transportation Studies, UC Berkeley.
    3. Nemoto, Eliane Horschutz & Korbee, Dorien & Jaroudi, Ines & Viere, Tobias & Naderer, Gabriele & Fournier, Guy, 2023. "Integrating automated minibuses into mobility systems – Socio-technical transitions analysis and multi-level perspectives," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    4. Gurumurthy, Krishna Murthy & Kockelman, Kara M., 2020. "Modeling Americans’ autonomous vehicle preferences: A focus on dynamic ride-sharing, privacy & long-distance mode choices," Technological Forecasting and Social Change, Elsevier, vol. 150(C).

    More about this item

    Keywords

    Engineering; Automated vehicles; shared mobility; ridesourcing;
    All these keywords.

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