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Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey

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  • Rico Krueger
  • Taha H. Rashidi
  • Vinayak V. Dixit

Abstract

The literature suggests that autonomous vehicles (AVs) may drastically change the user experience of private automobile travel by allowing users to engage in productive or relaxing activities while travelling. As a consequence, the generalised cost of car travel may decrease, and car users may become less sensitive to travel time. By facilitating private motorised mobility, AVs may eventually impact land use and households' residential location choices. This paper seeks to advance the understanding of the potential impacts of AVs on travel behaviour and land use by investigating stated preferences for combinations of residential locations and travel options for the commute in the context of autonomous automobile travel. Our analysis draws from a stated preference survey, which was completed by 512 commuters from the Sydney metropolitan area in Australia and provides insights into travel time valuations in a long-term decision-making context. For the analysis of the stated choice data, mixed logit models are estimated. Based on the empirical results, no changes in the valuation of travel time due to the advent of AVs should be expected. However, given the hypothetical nature of the stated preference survey, the results may be affected by methodological limitations.

Suggested Citation

  • Rico Krueger & Taha H. Rashidi & Vinayak V. Dixit, 2019. "Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey," Papers 1905.11486, arXiv.org, revised Sep 2019.
  • Handle: RePEc:arx:papers:1905.11486
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    Cited by:

    1. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R., 2022. "Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 156-179.
    2. Md. Mokhlesur Rahman & Jean-Claude Thill, 2023. "What Drives People’s Willingness to Adopt Autonomous Vehicles? A Review of Internal and External Factors," Sustainability, MDPI, vol. 15(15), pages 1-29, July.
    3. Fatemeh Nazari & Mohamadhossein Noruzoliaee & Abolfazl Mohammadian, 2023. "Behavioral acceptance of automated vehicles: The roles of perceived safety concern and current travel behavior," Papers 2302.12225, arXiv.org, revised Jan 2024.
    4. Rashidi, Taha Hossein & Waller, Travis & Axhausen, Kay, 2020. "Reduced value of time for autonomous vehicle users: Myth or reality?," Transport Policy, Elsevier, vol. 95(C), pages 30-36.
    5. Bas, Javier & Zofío, José L. & Cirillo, Cinzia & Chen, Hao & Rakha, Hesham A., 2022. "Policy and industry implications of the potential market penetration of electric vehicles with eco-cooperative adaptive cruise control," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 242-256.
    6. Yu, Xiaojuan & van den Berg, Vincent A.C. & Verhoef, Erik T. & Li, Zhi-Chun, 2022. "Will all autonomous cars cooperate? Brands’ strategic interactions under dynamic congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    7. Rubén Cordera & Soledad Nogués & Esther González-González & José Luis Moura, 2021. "Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    8. Dannemiller, Katherine A. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Chandra R., 2021. "Investigating autonomous vehicle impacts on individual activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 402-422.
    9. Yefang Zhou & Hitomi Sato & Toshiyuki Yamamoto, 2021. "Shared Low-Speed Autonomous Vehicle System for Suburban Residential Areas," Sustainability, MDPI, vol. 13(15), pages 1-15, August.
    10. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    11. Stéphanie Souche & Florent Laroche, 2021. "Autonomous vehicle: attitude, activities, and feelings," Working Papers halshs-03488102, HAL.
    12. 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).
    13. Sahu, Saransh & Verma, Ashish, 2022. "Quantifying wider economic impacts of high-speed connectivity and accessibility: The case of the Karnataka high-speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 141-155.

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