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The impact of perceived cyber-risks on automated vehicle acceptance: Insights from a survey of participants from the United States, the United Kingdom, New Zealand, and Australia

Author

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  • Khan, Shah Khalid
  • Shiwakoti, Nirajan
  • Stasinopoulos, Peter
  • Chen, Yilun
  • Warren, Matthew

Abstract

No study has systematically investigated the public's perceptions of cyber risks and their relationship with the acceptance of fully Connected and Automated Vehicles (CAVs). To address this knowledge gap, we developed a conceptual model and investigated the impact of the cyber-emulated risks (cyberattack, safety risk, connectivity risk, privacy risk, and performance risk) that may influence the adoption of CAVs. We tested the proposed model using structural equation modelling with a nationally representative sample of 2062 adults from the US, UK, New Zealand, and Australia.

Suggested Citation

  • Khan, Shah Khalid & Shiwakoti, Nirajan & Stasinopoulos, Peter & Chen, Yilun & Warren, Matthew, 2024. "The impact of perceived cyber-risks on automated vehicle acceptance: Insights from a survey of participants from the United States, the United Kingdom, New Zealand, and Australia," Transport Policy, Elsevier, vol. 152(C), pages 87-101.
  • Handle: RePEc:eee:trapol:v:152:y:2024:i:c:p:87-101
    DOI: 10.1016/j.tranpol.2024.05.002
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    References listed on IDEAS

    as
    1. Tonn, Gina & Kesan, Jay P. & Zhang, Linfeng & Czajkowski, Jeffrey, 2019. "Cyber risk and insurance for transportation infrastructure," Transport Policy, Elsevier, vol. 79(C), pages 103-114.
    2. ., 2023. "Financialisation, neoliberalism and globalisation," Chapters, in: Financialisation, chapter 6, pages 122-142, Edward Elgar Publishing.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Natalie Brown & Geneviève K. R. Williams & Anna Stodter & Melitta A. McNarry & Olga Roldan-Reoyo & Kelly A. Mackintosh & Isabel S. Moore & Elisabeth M. P. Williams, 2023. "A Global Women’s Rugby Union Web-Based Survey," IJERPH, MDPI, vol. 20(8), pages 1-7, April.
    5. David Morris & Garikayi Madzudzo & Alexeis Garcia-Perez, 2018. "Cybersecurity and the auto industry: the growing challenges presented by connected cars," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 18(2), pages 105-118.
    6. Kenesei, Zsófia & Ásványi, Katalin & Kökény, László & Jászberényi, Melinda & Miskolczi, Márk & Gyulavári, Tamás & Syahrivar, Jhanghiz, 2022. "Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 379-393.
    7. Rice, Stephen & Winter, Scott R., 2019. "Do gender and age affect willingness to ride in driverless vehicles: If so, then why?," Technology in Society, Elsevier, vol. 58(C).
    8. ., 2023. "Global trends in consumer behavior," Chapters, in: Cross-Cultural Consumer Behavior, chapter 5, pages 54-67, Edward Elgar Publishing.
    9. Nikitas, Alexandros & Parkinson, Simon & Vallati, Mauro, 2022. "The deceitful Connected and Autonomous Vehicle: Defining the concept, contextualising its dimensions and proposing mitigation policies," Transport Policy, Elsevier, vol. 122(C), pages 1-10.
    10. Khan, Shah Khalid & Shiwakoti, Nirajan & Stasinopoulos, Peter & Warren, Matthew, 2023. "Cybersecurity regulatory challenges for connected and automated vehicles – State-of-the-art and future directions," Transport Policy, Elsevier, vol. 143(C), pages 58-71.
    11. ., 2023. "Enhancing global integration," Chapters, in: The Global Challenge, chapter 3, pages 71-105, Edward Elgar Publishing.
    12. ., 2023. "Globalization and the desire for authoritarianism," Chapters, in: Authoritarian Capitalism in the Age of Globalization, chapter 3, pages 27-40, Edward Elgar Publishing.
    13. Li, Shunxi & Sui, Pang-Chieh & Xiao, Jinsheng & Chahine, Richard, 2019. "Policy formulation for highly automated vehicles: Emerging importance, research frontiers and insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 573-586.
    14. ., 2023. "Introduction to The Global Challenge," Chapters, in: The Global Challenge, chapter 1, pages 1-36, Edward Elgar Publishing.
    15. Hussain, Qinaat & Alhajyaseen, Wael K.M. & Adnan, Muhammad & Almallah, Mustafa & Almukdad, Abdulkarim & Alqaradawi, Mohammed, 2021. "Autonomous vehicles between anticipation and apprehension: Investigations through safety and security perceptions," Transport Policy, Elsevier, vol. 110(C), pages 440-451.
    16. Tonn, Gina & Reilly, Allison & Czajkowski, Jeffrey & Ghaedi, Hamed & Kunreuther, Howard, 2021. "U.S. transportation infrastructure resilience: Influences of insurance, incentives, and public assistance," Transport Policy, Elsevier, vol. 100(C), pages 108-119.
    17. Jiang, Like & Chen, Haibo & Chen, Zhiyang, 2022. "City readiness for connected and autonomous vehicles: A multi-stakeholder and multi-criteria analysis through analytic hierarchy process," Transport Policy, Elsevier, vol. 128(C), pages 13-24.
    18. Hamadneh, Jamil & Duleba, Szabolcs & Esztergár-Kiss, Domokos, 2022. "Stakeholder viewpoints analysis of the autonomous vehicle industry by using multi-actors multi-criteria analysis," Transport Policy, Elsevier, vol. 126(C), pages 65-84.
    19. Peng Jing & Gang Xu & Yuexia Chen & Yuji Shi & Fengping Zhan, 2020. "The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review," Sustainability, MDPI, vol. 12(5), pages 1-26, February.
    20. Benleulmi, Ahmed Ziad & Blecker, Thorsten, 2017. "Investigating the factors influencing the acceptance of fully autonomous cars," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 99-115, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    21. ., 2023. "Development indicators at the global level," Chapters, in: Macroeconomics for Development, chapter 2, pages 15-29, Edward Elgar Publishing.
    22. Edward Shih-Tse Wang & Ruenn-Lien Lin, 2017. "Perceived quality factors of location-based apps on trust, perceived privacy risk, and continuous usage intention," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(1), pages 2-10, January.
    23. Catão, Luis A. V. & de Faria, Pedro & Martins, António & Portela, Miguel, 2023. "Globalization and Firm Performance," IZA Discussion Papers 15903, Institute of Labor Economics (IZA).
    24. Nam, Taewoo, 2019. "Understanding the gap between perceived threats to and preparedness for cybersecurity," Technology in Society, Elsevier, vol. 58(C).
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