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What to do with commuting time when driving autonomous vehicles? Results of a stated intention experiment

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  • Tian, Zhihui
  • Feng, Tao
  • Timmermans, Harry J.P.
  • Yao, Baozhen

Abstract

Rapid improvements in autonomous driving technology and the availability of autonomous vehicles (AVs) are expected to change people’s habitual travel patterns. Fully autonomous vehicles (FAVs) do not need to be maneuvered by their users, implying users are allowed to participate in a number of non-driving in-vehicle activities (IVAs) when their FAV is bringing them to their destination. People can therefore use their travel time for working, relaxation, entertainment, communication and possibly other activities. Since FAVs provide a different environment than traditional travel modes, such as trains and busses, people’s preferences for conducting IVAs in FAV travel has become an emerging issue in transportation research. Understanding people’s preferences for conducting IVAs during FAV travel will generate important information for future vehicle interior design and the development of transportation policies. Hence, this paper presents the outcomes of a research study that aims at increasing our understanding of the intentions of individuals to conduct IVAs when travelling by FAV’s and the endogenous and exogenous factors and variables influencing these intentions. We designed an experiment and analyzed the response data using simultaneous equation modeling to examine the intentions to conduct IVAs during FAV travel and potential correlations that may exist across IVAs. The results show significant heterogeneity in IVA intentions and correlations between IVAs. Youngsters, high-education-level groups, and employed show a higher intention to engage in most IVAs. In addition, gender, household income, motion sickness, and license ownership affect people’s intentions. The estimated results suggest that the intentions to conduct IVAs depend on trip length. Moreover, the potential correlation between IVAs is confirmed. For example, respondents who have intentions to conduct to sleep show interest in eating or drinking and play games, but are not inclined to work with a computer. In contrast, respondents who intend to use social media during FAV travel are less likely to sleep when travelling by FAV.

Suggested Citation

  • Tian, Zhihui & Feng, Tao & Timmermans, Harry J.P. & Yao, Baozhen, 2024. "What to do with commuting time when driving autonomous vehicles? Results of a stated intention experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:transa:v:187:y:2024:i:c:s0965856424002131
    DOI: 10.1016/j.tra.2024.104165
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    1. Teodorovicz, Thomaz & Kun, Andrew L. & Sadun, Raffaella & Shaer, Orit, 2022. "Multitasking while driving: a time use study of commuting knowledge workers to access current and future uses," LSE Research Online Documents on Economics 117830, London School of Economics and Political Science, LSE Library.
    2. Choi, Sungtaek & Mokhtarian, Patricia L., 2020. "How attractive is it to use the internet while commuting? A work-attitude-based segmentation of Northern California commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 37-50.
    3. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
    4. Jain, Juliet & Lyons, Glenn, 2008. "The gift of travel time," Journal of Transport Geography, Elsevier, vol. 16(2), pages 81-89.
    5. Cunningham, Mitchell L. & Regan, Michael A. & Horberry, Timothy & Weeratunga, Kamal & Dixit, Vinayak, 2019. "Public opinion about automated vehicles in Australia: Results from a large-scale national survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 1-18.
    6. Aliaksandr Malokin & Giovanni Circella & Patricia L. Mokhtarian, 2021. "Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters," Transportation, Springer, vol. 48(5), pages 2787-2823, October.
    7. Camagni, Roberto, 2009. "Territorial Impact Assessment for European regions: A methodological proposal and an application to EU transport policy," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 342-350, November.
    8. Lyons, Glenn & Jain, Juliet & Holley, David, 2007. "The use of travel time by rail passengers in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 107-120, January.
    9. Abrantes, Pedro A.L. & Wardman, Mark R., 2011. "Meta-analysis of UK values of travel time: An update," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 1-17, January.
    10. Jingya Gao & Andisheh Ranjbari & Don MacKenzie, 2019. "Would being driven by others affect the value of travel time? Ridehailing as an analogy for automated vehicles," Transportation, Springer, vol. 46(6), pages 2103-2116, December.
    11. Frei, Charlotte & Mahmassani, Hani S. & Frei, Andreas, 2015. "Making time count: Traveler activity engagement on urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 58-70.
    12. Pudāne, Baiba & van Cranenburgh, Sander & Chorus, Caspar G., 2021. "A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey," Journal of choice modelling, Elsevier, vol. 39(C).
    13. Imre Keseru & Cathy Macharis, 2018. "Travel-based multitasking: review of the empirical evidence," Transport Reviews, Taylor & Francis Journals, vol. 38(2), pages 162-183, March.
    14. Correia, Gonçalo Homem de Almeida & Looff, Erwin & van Cranenburgh, Sander & Snelder, Maaike & van Arem, Bart, 2019. "On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 359-382.
    15. 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).
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