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Human Factors, User Requirements, and User Acceptance of Ride-Sharing in Automated Vehicles

Author

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  • Natasha Merat

    (Institute for Transport Studies)

  • Ruth Madigan

    (Institute for Transport Studies)

  • Sina Nordhoff

    (Delft University of Technology)

Abstract

This paper provides an overview of the social-psychological factors that are likely to influence the trust and acceptance of shared SAE Level 4 Automated Vehicles (AVs). It begins with a short summary of what influences users’ engagement in ride-sharing for conventional vehicles, followed by the factors that affect user acceptance and trust of robotic systems. Using studies of human robot interaction (HRI), recommendations are made on how to improve users’ trust, acceptance and use of shared AVs. Results from real-world studies and on-line surveys provide some contradictory views regarding willingness to accept and use the systems, which may be partly due to the fact that on-line users have not had actual interactions with AVs. We recommend that the pathway to adoption and acceptance of AVs should be incremental and iterative, providing users with hands-on experience of the systems at every stage. This removes unrealistic, idealised, expectations, which can ultimately hamper acceptance. Manufacturers may also use new technologies, social-networks and crowd-sourcing techniques to receive feedback and input from consumers themselves, in order to increase adoption and acceptance of shared AVs.

Suggested Citation

  • Natasha Merat & Ruth Madigan & Sina Nordhoff, 2017. "Human Factors, User Requirements, and User Acceptance of Ride-Sharing in Automated Vehicles," International Transport Forum Discussion Papers 2017/10, OECD Publishing.
    • Handle: RePEc:oec:itfaab:2017/10-en
    DOI: 10.1787/0d3ed522-en
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    Cited by:

    1. Arto O Salonen & Noora Haavisto, 2019. "Towards Autonomous Transportation. Passengers’ Experiences, Perceptions and Feelings in a Driverless Shuttle Bus in Finland," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    2. SALLADARRE, Frédéric & LE BOENNEC, Rémy & BEL, Marlène, 2021. "Robotaxis or autonomous shuttles? The role of urban representations and travel habits in tomorrow's mode choice in France," MPRA Paper 113635, University Library of Munich, Germany.
    3. Wadud, Zia & Mattioli, Giulio, 2021. "Fully automated vehicles: A cost-based analysis of the share of ownership and mobility services, and its socio-economic determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 228-244.
    4. Rosell, Jordi & Allen, Jaime, 2020. "Test-riding the driverless bus: Determinants of satisfaction and reuse intention in eight test-track locations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 166-189.
    5. Sigma Dolins & Helena Strömberg & Yale Z. Wong & MariAnne Karlsson, 2021. "Sharing Anxiety Is in the Driver’s Seat: Analyzing User Acceptance of Dynamic Ridepooling and Its Implications for Shared Autonomous Mobility," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    6. Paddeu, Daniela & Shergold, Ian & Parkhurst, Graham, 2020. "The social perspective on policy towards local shared autonomous vehicle services (LSAVS)," Transport Policy, Elsevier, vol. 98(C), pages 116-126.
    7. Wu, Min & Yuen, Kum Fai, 2023. "Initial trust formation on shared autonomous vehicles: Exploring the effects of personality-, transfer- and performance-based stimuli," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    8. Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    9. Cylwik Stefan & Gabryelczyk Renata & Chlebus Marcin, 2020. "Ridesharing in the Polish Experience: A Study using Unified Theory of Acceptance and Use of Technology," Central European Economic Journal, Sciendo, vol. 7(54), pages 279-299, January.
    10. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    11. Fabio Antonialli & Danielle Attias, 2019. "Social and economic impacts of Autonomous Shuttles for Collective Transport: an in- depth benchmark study," Post-Print hal-02489808, HAL.
    12. Wang, Jinghui & Yang, Hao, 2023. "Low carbon future of vehicle sharing, automation, and electrification: A review of modeling mobility behavior and demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    13. Kurani, Kenneth S., 2019. "User Perceptions of Safety and Security: A Framework for a Transition to Electric-Shared-Automated Vehicles," Institute of Transportation Studies, Working Paper Series qt40g1637b, Institute of Transportation Studies, UC Davis.

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