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Understanding Shared Autonomous Vehicle Preferences: A Comparison between Shuttles, Buses, Ridesharing and Taxis

Author

Listed:
  • Samuel Chng

    (Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore 487372, Singapore)

  • Sabreena Anowar

    (Department of Civil and Environmental Engineering, Department of Architectural Studies, University of Missouri, Columbia, MO 65211, USA)

  • Lynette Cheah

    (Engineering Systems and Design, Singapore University of Technology and Design, Singapore 487372, Singapore)

Abstract

Shared autonomous vehicles (AVs) will soon be introduced in public transportation as cities and their transportation systems become ‘smarter’. This brings long-term environmental, economic and societal benefits to cities. However, shared AVs will not only need to overcome technological challenges but also prevail against social barriers for successful marketplace penetration. Hence, we proposed and investigated the acceptance of four shared AV service designs for public use in this study, namely, autonomous buses, shuttles, AV rideshares and autonomous or robo-taxis. An online survey conducted in Singapore with 734 adults found the greatest receptiveness toward the introduction of autonomous shuttles, in part due to perceptions that they will perform well and be easy to adopt. This aligns with ongoing shared AV trials where AV shuttles are mostly used. Larger autonomous buses had the second-highest acceptance. AV rideshares and taxis seem to largely appeal to the existing regular users of the conventional counterparts of these services. These results suggest that to encourage a mode switch from public transport to ridesharing and taxis, or vice versa, shared AVs need to appeal to users beyond being an automated version of existing modes. That is, shared AVs need to address an underserved or unmet transportation need or population.

Suggested Citation

  • Samuel Chng & Sabreena Anowar & Lynette Cheah, 2022. "Understanding Shared Autonomous Vehicle Preferences: A Comparison between Shuttles, Buses, Ridesharing and Taxis," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13656-:d:949664
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    References listed on IDEAS

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    1. Merfeld, Katrin & Wilhelms, Mark-Philipp & Henkel, Sven & Kreutzer, Karin, 2019. "Carsharing with shared autonomous vehicles: Uncovering drivers, barriers and future developments – A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 66-81.
    2. Yutong Cai & Hua Wang & Ghim Ping Ong & Qiang Meng & Der-Horng Lee, 2019. "Investigating user perception on autonomous vehicle (AV) based mobility-on-demand (MOD) services in Singapore using the logit kernel approach," Transportation, Springer, vol. 46(6), pages 2063-2080, December.
    3. Pettigrew, Simone & Cronin, Sophie L., 2019. "Stakeholder views on the social issues relating to the introduction of autonomous vehicles," Transport Policy, Elsevier, vol. 81(C), pages 64-67.
    4. Samuel Chng & Lynette Cheah, 2020. "Understanding Autonomous Road Public Transport Acceptance: A Study of Singapore," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    5. Penmetsa, Praveena & Adanu, Emmanuel Kofi & Wood, Dustin & Wang, Teng & Jones, Steven L., 2019. "Perceptions and expectations of autonomous vehicles – A snapshot of vulnerable road user opinion," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 9-13.
    6. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
    7. Felix Becker & Kay W. Axhausen, 2017. "Literature review on surveys investigating the acceptance of automated vehicles," Transportation, Springer, vol. 44(6), pages 1293-1306, November.
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    Cited by:

    1. Wei Luo & Silong Wei & Yi Wang & Pengpeng Jiao, 2023. "People’s Intentions to Use Shared Autonomous Vehicles: An Extended Theory of Planned Behavior Model," Sustainability, MDPI, vol. 15(16), pages 1-17, August.

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