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What Makes Parents Consider Shared Autonomous Vehicles as a School Travel Mode?

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  • Mahsa Aboutorabi Kashani

    (Faculty of Civil & Environmental Engineering, Transportation Planning Department, Tarbiat Modares University, Tehran P.O. Box 14115-111, Iran)

  • Salehe Kamyab

    (Faculty of Civil & Environmental Engineering, Transportation Planning Department, Tarbiat Modares University, Tehran P.O. Box 14115-111, Iran)

  • Amir Reza Mamdoohi

    (Faculty of Civil & Environmental Engineering, Transportation Planning Department, Tarbiat Modares University, Tehran P.O. Box 14115-111, Iran
    Department of Civil, Geological & Mining Engineering, Polytechnique Montréal, Montréal University, Montréal, QC H3C 3J7, Canada)

  • Grzegorz Sierpiński

    (Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

Abstract

The integration of shared mobility and autonomous vehicles (AVs) could potentially change the way parents decide to transport their children to and from school. A better understanding of the factors influencing parents’ intentions to use shared autonomous vehicles (SAVs) for school transportation is necessary to enhance their children’s mobility. Unlike prior research, this paper significantly contributes to the literature by exploring the impacts of socioeconomic, travel-related, and psychological factors and their interactions. Using Google Forms for an online survey, the authors collected 1435 valid responses from parents in Kerman city schools in Iran. The estimation results of the generalized ordered logit model indicate the significant impact of parents’ socioeconomic status (occupation, education, income), travel behavior (accident experience, crash severity, travel cost), and attitude (innovativeness, perceived usefulness, environmental concern, pro-driving, safety), and their children-related factors (gender, the most frequently used travel mode, the possibility of tracking the child). The findings show that an increase in parents’ education, perceived usefulness, and environmental concern increase the likelihood of their intentions to use SAVs. Finally, based on the findings, several implications are suggested to increase parents’ intentions to use SAVs for transporting their children and to make SAVs a safe, affordable, and sustainable transport solution.

Suggested Citation

  • Mahsa Aboutorabi Kashani & Salehe Kamyab & Amir Reza Mamdoohi & Grzegorz Sierpiński, 2023. "What Makes Parents Consider Shared Autonomous Vehicles as a School Travel Mode?," Sustainability, MDPI, vol. 15(23), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16180-:d:1284922
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    References listed on IDEAS

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    1. Roehrich, Gilles, 2004. "Consumer innovativeness: Concepts and measurements," Journal of Business Research, Elsevier, vol. 57(6), pages 671-677, June.
    2. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    3. Webb, Jeremy & Wilson, Clevo & Kularatne, Thamarasi, 2019. "Will people accept shared autonomous electric vehicles? A survey before and after receipt of the costs and benefits," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 118-135.
    4. Thomas Leicht & Anis Chtourou & Kamel Ben Youssef, 2018. "Consumer innovativeness and intentioned autonomous car adoption," Post-Print hal-02511554, HAL.
    5. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
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