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Autonomous vehicles: who will use them, and will they share?

Author

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  • William Clayton
  • Daniela Paddeu
  • Graham Parkhurst
  • John Parkin

Abstract

The advent of road transport automation is suggested to be one of four key technological transitions that could amount to a major transformation in mobility practices. Specifically, fully Automated Vehicles (AVs) might replace the current private car owner user model with fleets of on-demand synchronously-shared automated taxis. However, significant barriers to this vision becoming the norm remain. This paper examines two critical user-acceptance aspects of the transition: willingness to adopt AVs, and willingness to share an AV with others, particularly strangers. Our novel survey (n = 899) included a choice experiment featuring four future full automation transport services (private, synchronously/asynchronously shared, and public). Cluster analysis examined respondents' preferences and their demographic and psycho-social characteristics. We uncover significant uncertainty about willingness to adopt automation and sharing, and important differences between clusters within our sample. For example, under 50% of participants report willingness to use an AV over their normal mode, or would prefer an automated option to a current human-driven option. Our findings raise critical questions for policymakers and transport authorities. Not least, how can AV technologies help realise the environmental and social benefits of widespread vehicle sharing in a context of a travelling public that still prefers its privacy on-the-move?

Suggested Citation

  • William Clayton & Daniela Paddeu & Graham Parkhurst & John Parkin, 2020. "Autonomous vehicles: who will use them, and will they share?," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(4), pages 343-364, May.
  • Handle: RePEc:taf:transp:v:43:y:2020:i:4:p:343-364
    DOI: 10.1080/03081060.2020.1747200
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    Cited by:

    1. Noruzoliaee, Mohamadhossein & Zou, Bo, 2022. "One-to-many matching and section-based formulation of autonomous ridesharing equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 72-100.
    2. Paulo Antonio Maldonado Silveira Alonso Munhoz & Fabricio da Costa Dias & Christine Kowal Chinelli & André Luis Azevedo Guedes & João Alberto Neves dos Santos & Wainer da Silveira e Silva & Carlos Alb, 2020. "Smart Mobility: The Main Drivers for Increasing the Intelligence of Urban Mobility," Sustainability, MDPI, vol. 12(24), pages 1-25, December.
    3. Ali Alamdar Moghaddam & Hamid Mirzahossein & Robert Guzik, 2022. "Comparing Inequality in Future Urban Transport Modes by Doughnut Economy Concept," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    4. Amalia Polydoropoulou & Ioannis Tsouros & Nikolas Thomopoulos & Cristina Pronello & Arnór Elvarsson & Haraldur Sigþórsson & Nima Dadashzadeh & Kristina Stojmenova & Jaka Sodnik & Stelios Neophytou & D, 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    5. Sophia Hick & Hannah Biermann & Martina Ziefle, 2024. "How deep is your trust? A comparative user requirements’ analysis of automation in medical and mobility technologies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

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