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How does the built environment affect interest in the ownership and use of self-driving vehicles?

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  • Nodjomian, Adam T.
  • Kockelman, Kara

Abstract

Connected and automated (self-driving) vehicles (CAVs and AVs) will soon become a viable mode option, though their exact pattern of adoption and use is expected to vary based on consumer interests and concerns about the technology. Past work has shown the rate at which AVs are implemented depends on several factors, such as individual and household demographics and technology costs (Bansal and Kockelman, 2017; Lee et al., 2017; Daziano et al., 2017). This research analyzes another group of attributes that help predict how people will purchase and use AVs: land use characteristics.

Suggested Citation

  • Nodjomian, Adam T. & Kockelman, Kara, 2019. "How does the built environment affect interest in the ownership and use of self-driving vehicles?," Journal of Transport Geography, Elsevier, vol. 78(C), pages 115-134.
    • Handle: RePEc:eee:jotrge:v:78:y:2019:i:c:p:115-134
    DOI: 10.1016/j.jtrangeo.2019.05.016
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    References listed on IDEAS

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    Cited by:

    1. Tao, Tao & Cao, Jason, 2022. "Examining motivations for owning autonomous vehicles: Implications for land use and transportation," Journal of Transport Geography, Elsevier, vol. 102(C).
    2. Sakinah Fathrunnadi Shalihati & Andri Kurniawan & Sri Rum Giyarsih & Djaka Marwasta & Dimas Bayu Endrayana Dharmowijoyo, 2022. "Daily Activity Space for Various Generations in the Yogyakarta Metropolitan Area," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    3. Sindi, Safaa & Woodman, Roger, 2021. "Implementing commercial autonomous road haulage in freight operations: An industry perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 235-253.

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