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Discussing the “positive utilities” of autonomous vehicles: will travellers really use their time productively?

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  • Patrick A. Singleton

Abstract

Autonomous vehicles (AVs) are expected to reshape travel behaviour and demand in part by enabling productive uses of travel time—a primary component of the “positive utility of travel” concept—thus reducing subjective values of travel time savings (VOT). Many studies from industry and academia have assumed significant increases in travel time use and reductions in VOT for AVs. In this position paper, I argue that AVs’ VOT impacts may be more modest than anticipated and derive from a different source. Vehicle designs and operations may limit activity engagement during travel, with AV users feeling more like car passengers than train riders. Furthermore, shared AVs may attenuate travel time use benefits, and productivity gains could be limited to long-distance trips. Although AV riders will likely have greater activity participation during travel, many in-vehicle activities today may be more about coping with commuting burdens than productively using travel time. Instead, VOT reductions may be more likely to arise from a different “positive utility”—subjective well-being improvements through reduced stresses of driving or the ability to relax and mentally transition. Given high uncertainty, further empirical research on the experiential, time use, and VOT impacts of AVs is needed.

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  • Patrick A. Singleton, 2019. "Discussing the “positive utilities” of autonomous vehicles: will travellers really use their time productively?," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 50-65, January.
  • Handle: RePEc:taf:transr:v:39:y:2019:i:1:p:50-65
    DOI: 10.1080/01441647.2018.1470584
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    Cited by:

    1. Jiang, Ying & Guo, Zijian & Zhang, Runsen & Zong, Weiyan & Zhang, Junyi, 2023. "How do expected changes in life affect young people's stated ownership of privately-owned autonomous vehicles: A comparative study," Transport Policy, Elsevier, vol. 135(C), pages 71-81.
    2. Kroesen, Maarten & Milakis, Dimitris & van Wee, Bert, 2023. "Automated Vehicles: Changes in expert opinions over time," Transport Policy, Elsevier, vol. 136(C), pages 1-10.
    3. Liliana Andrei & Oana Luca & Florian Gaman, 2022. "Insights from User Preferences on Automated Vehicles: Influence of Socio-Demographic Factors on Value of Time in Romania Case," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    4. Jiawei Gui & Qunqi Wu, 2020. "Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou," Sustainability, MDPI, vol. 12(19), pages 1-46, September.
    5. Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
    6. Kassens-Noor, Eva & Dake, Dana & Decaminada, Travis & Kotval-K, Zeenat & Qu, Teresa & Wilson, Mark & Pentland, Brian, 2020. "Sociomobility of the 21st century: Autonomous vehicles, planning, and the future city," Transport Policy, Elsevier, vol. 99(C), pages 329-335.
    7. Faber, Koen & van Lierop, Dea, 2020. "How will older adults use automated vehicles? Assessing the role of AVs in overcoming perceived mobility barriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 353-363.
    8. Lee, Jaehyung & Lee, Euntak & Yun, Jaewoong & Chung, Jin-Hyuk & Kim, Jinhee, 2021. "Latent heterogeneity in autonomous driving preferences and in-vehicle activities by travel distance," Journal of Transport Geography, Elsevier, vol. 94(C).
    9. Swain, Ritwik & Truelove, Verity & Rakotonirainy, Andry & Kaye, Sherrie-Anne, 2023. "A comparison of the views of experts and the public on automated vehicles technologies and societal implications," Technology in Society, Elsevier, vol. 74(C).
    10. Poudel, Niranjan & Singleton, Patrick A., 2024. "Willingness to pay for changes in travel time and work time: A stated choice experiment of US commuters," Research in Transportation Economics, Elsevier, vol. 103(C).
    11. Tang, Jia & Mokhtarian, Patricia L. & Zhen, Feng, 2020. "How do passengers allocate and evaluate their travel time? Evidence from a survey on the Shanghai–Nanjing high speed rail corridor, China," Journal of Transport Geography, Elsevier, vol. 85(C).

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