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Why to buy or why not to buy? - Revealing the inherent mechanism and the psychological impacts on the behavior of purchasing automated vehicles

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  • Gu, Yingfan
  • Wang, Song
  • Li, Zhixia
  • Zhang, Guohui
  • Ai, Chengbo
  • Li, Pengfei

Abstract

This paper reveals the mechanism of how different personal variables interactively impact the purchasing behaviors for automated vehicles (AVs). Data is collected from a state-wide public survey study. The structural equation model-based path analysis is employed to reveal the variables' interrelationship. A hierarchical model is used to quantitatively understand the willingness to pay extra money for different automations levels. The revealed internal relationships between variables facilitate understanding why the variables impact an individual's purchasing behavior. The results show that rural residents are less likely to purchase an AV due to their lower income and familiarity levels compared to urban residents. Highly educated individuals who drive more frequently are more likely to pay for an AV because they demonstrate a higher ability to afford one. Safety concerns remain the primary factor influencing purchasing behavior. This study contributes to the literature by revealing internal heterogeneity and the psychological effects that influence purchasing behaviors for AVs, as well as the willingness to pay extra for each level of automation. The results are expected to be beneficial for government policymakers, vehicle manufacturers, and organizational stakeholders in devising long-term policies.

Suggested Citation

  • Gu, Yingfan & Wang, Song & Li, Zhixia & Zhang, Guohui & Ai, Chengbo & Li, Pengfei, 2025. "Why to buy or why not to buy? - Revealing the inherent mechanism and the psychological impacts on the behavior of purchasing automated vehicles," Research in Transportation Economics, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:retrec:v:109:y:2025:i:c:s0739885924001112
    DOI: 10.1016/j.retrec.2024.101516
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    as
    1. Prateek Bansal & Kara M. Kockelman, 2018. "Are we ready to embrace connected and self-driving vehicles? A case study of Texans," Transportation, Springer, vol. 45(2), pages 641-675, March.
    2. Guan, Jinping & Chen, Kexin & Mao, Runfei & Shamshiripour, Ali & Zhang, Xiaochun & Liang, Chen & Ben-Akiva, Moshe, 2024. "The willingness to pay for the automated vehicle subscription: Insights from a car-oriented population in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 188(C).
    3. Hohenberger, Christoph & Spörrle, Matthias & Welpe, Isabell M., 2016. "How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 374-385.
    4. Dawid, Herbert & Di, Xuan & Kort, Peter M. & Muehlheusser, Gerd, 2024. "Autonomous vehicles policy and safety investment: An equilibrium analysis with endogenous demand," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    5. Raj, Alok & Kumar, J. Ajith & Bansal, Prateek, 2020. "A multicriteria decision making approach to study barriers to the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 122-137.
    6. Mo, Lipo & Cui, Zhaoyu & Jia, Rongwen & Dong, Kangyin & Zhao, Chuan, 2024. "How does autonomous vehicles affect taxi industry? A two-stage Van Damme based tripartite evolutionary game perspective," Research in Transportation Economics, Elsevier, vol. 103(C).
    7. 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.
    8. Haddak, Mohamed Mouloud & Lefèvre, Marie & Havet, Nathalie, 2016. "Willingness-to-pay for road safety improvement," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 1-10.
    9. Anania, Emily C. & Rice, Stephen & Walters, Nathan W. & Pierce, Matthew & Winter, Scott R. & Milner, Mattie N., 2018. "The effects of positive and negative information on consumers’ willingness to ride in a driverless vehicle," Transport Policy, Elsevier, vol. 72(C), pages 218-224.
    10. Guan, Jinping & Du, Xinyu & Zhang, Jiayue & Maymin, Philip & DeSoto, Emma & Langer, Ellen & He, Zhengbing, 2024. "Private vehicle drivers’ acceptance of autonomous vehicles: The role of trait mindfulness," Transport Policy, Elsevier, vol. 149(C), pages 211-221.
    11. Wårell, Linda & Ek, Kristina, 2024. "Male lone wolves and sociable females – Preferences for shared and AV transport services," Research in Transportation Economics, Elsevier, vol. 108(C).
    12. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    13. Kassens-Noor, Eva & Kotval-Karamchandani, Zeenat & Cai, Meng, 2020. "Willingness to ride and perceptions of autonomous public transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 92-104.
    14. Zhao, Congyu & Jia, Rongwen & Dong, Kangyin, 2023. "How does smart transportation technology promote green total factor productivity? The case of China," Research in Transportation Economics, Elsevier, vol. 101(C).
    15. Xiaoxia Dong & Matthew DiScenna & Erick Guerra, 2019. "Transit user perceptions of driverless buses," Transportation, Springer, vol. 46(1), pages 35-50, February.
    16. Amalia Polydoropoulou & Ioannis Tsouros & Nikolas Thomopoulos & Cristina Pronello & Arnór Elvarsson & Haraldur Sigþórsson & Nima Dadashzadeh & Kristina Stojmenova & Jaka Sodnik & Stelios Neophytou & D, 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    17. Zhang, Ning & Wu, Yiping & Rong, Jian & Shao, Juan & Chen, Jiayuan & Zhou, Chenjing, 2023. "Analysis of truckers’ intentions in choosing freeways or parallel national and provincial roads," Research in Transportation Economics, Elsevier, vol. 101(C).
    18. Bakare, Bukola & Motuba, Diomo & Szmerekovsky, Joseph, 2022. "Do corporate social responsibility ratings have any effect on traffic congestion?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 98-119.
    19. Xinyu Cao & Zhiyi Xu & Frank Douma, 2012. "The interactions between e-shopping and traditional in-store shopping: an application of structural equations model," Transportation, Springer, vol. 39(5), pages 957-974, September.
    20. Behnood, Ali & Haghani, Milad & Golafshani, Emadaldin Mohammadi, 2022. "Determinants of purchase likelihood for partially and fully automated vehicles: Insights from mixed logit model with heterogeneity in means and variances," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 119-139.
    21. Chen, Zhe & Wang, Zhengli & Jiang, Hai, 2019. "Analyzing the heterogeneous impacts of high-speed rail entry on air travel in China: A hierarchical panel regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 86-98.
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    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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