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Choice Behavior of Autonomous Vehicles Based on Logistic Models

Author

Listed:
  • Limin Tan

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Changxi Ma

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Xuecai Xu

    (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jin Xu

    (College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

To understand the public’s acceptance of autonomous vehicles, studies were conducted from the perspectives of personal attributes, travel demand and cognitions of autonomous vehicles based on 403 valid questionnaires. Influencing factors of whether travelers are purchasing autonomous vehicles, whether travelers without a driver’s license intend to take a driver’s license in the future and whether travelers are choosing an autonomous private car if travelers can only take a taxi or drive a private car are analyzed by building Logistic regression models. The results show that personal monthly income, driver’s license, driving confidence, preference for autonomous vehicles and convenience of arriving at public transport stations will affect the purchase decision of autonomous vehicles; teenagers, long-distance travelers, students and employees of enterprises and institutions, those who believe that traditional taxis/taxi-hailing are unsafe, and those who lack confidence in driving have a higher probability of choosing autonomous vehicles. This research can be used to predict the probability of future purchase and use decisions for autonomous vehicles based on data from other populations.

Suggested Citation

  • Limin Tan & Changxi Ma & Xuecai Xu & Jin Xu, 2019. "Choice Behavior of Autonomous Vehicles Based on Logistic Models," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
  • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:54-:d:299817
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    References listed on IDEAS

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    Cited by:

    1. Cai, Yunhao & Jing, Peng & Wang, Baihui & Jiang, Chengxi & Wang, Yuan, 2023. "How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    2. Enayat Mirzaei & Dominique Mignot, 2021. "An Empirical Analysis of Mode Choice Decision for Utilitarian and Hedonic Trips: Evidence from Iran," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    3. 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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