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Preparing Society for Automated Vehicles: Perceptions of the Importance and Urgency of Emerging Issues of Governance, Regulations, and Wider Impacts

Author

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  • Su-Yen Chen

    (Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu 30013, Taiwan)

  • Hsin-Yu Kuo

    (Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu 30013, Taiwan)

  • Chiachun Lee

    (Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu 30013, Taiwan)

Abstract

This study explores the overall picture of how people perceive the importance level and urgency level regarding issues associated with automated vehicles, by sorting out ten issues, developing a questionnaire with 66 measurement items, and investigating how Artificial Intelligence (AI) experts and Computer Science (CS)/Electrical Engineering (EE) majors assessed these issues. The findings suggest that AI experts in Taiwan believed that the top five issues for preparing a society for autonomous vehicles (AVs) should include (1) data privacy and cybersecurity, (2) regulation considerations, (3) infrastructure, (4) governance, and (5) public acceptance. On the other hand, for their student counterparts, the results (1) demonstrate a somewhat different order from the third to the fifth place, (2) show an attention-focused profile on the issue of cybersecurity and data privacy, and (3) indicate that gender and a few wider-impact variables (technology innovation, infrastructure) are significant predictors for the assessment on the importance level of AVs, while some wider-impact variables (technology innovation, governance, economic benefits, infrastructure), which are positively associated, as well as concerns variables (cybersecurity and data privacy, regulations), which are negatively associated, could be predictors for the urgency level of AVs. Suggestions for future research and policymakers are provided.

Suggested Citation

  • Su-Yen Chen & Hsin-Yu Kuo & Chiachun Lee, 2020. "Preparing Society for Automated Vehicles: Perceptions of the Importance and Urgency of Emerging Issues of Governance, Regulations, and Wider Impacts," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7844-:d:417744
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    References listed on IDEAS

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    1. Su-Yen Chen & Chiachun Lee, 2019. "Perceptions of the Impact of High-Level-Machine-Intelligence from University Students in Taiwan: The Case for Human Professions, Autonomous Vehicles, and Smart Homes," Sustainability, MDPI, vol. 11(21), pages 1-14, November.
    2. Liu, Feiqi & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2019. "Can autonomous vehicle reduce greenhouse gas emissions? A country-level evaluation," Energy Policy, Elsevier, vol. 132(C), pages 462-473.
    3. Tom Cohen & Clémence Cavoli, 2019. "Automated vehicles: exploring possible consequences of government (non)intervention for congestion and accessibility," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 129-151, January.
    4. Luca Staricco & Valentina Rappazzo & Jacopo Scudellari & Elisabetta Vitale Brovarone, 2019. "Toward Policies to Manage the Impacts of Autonomous Vehicles on the City: A Visioning Exercise," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    5. Debbie Hopkins & Tim Schwanen, 2018. "Automated Mobility Transitions: Governing Processes in the UK," Sustainability, MDPI, vol. 10(4), pages 1-19, March.
    6. Dimitris Milakis, 2019. "Long-term implications of automated vehicles: an introduction," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 1-8, January.
    7. Araz Taeihagh & Hazel Si Min Lim, 2019. "Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 103-128, January.
    8. Marletto, Gerardo, 2019. "Who will drive the transition to self-driving? A socio-technical analysis of the future impact of automated vehicles," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 221-234.
    9. 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.
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    Cited by:

    1. Tan Yigitcanlar & Federico Cugurullo, 2020. "The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    2. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    3. Tanvi Maheshwari & Kay W. Axhausen, 2021. "How Will the Technological Shift in Transportation Impact Cities? A Review of Quantitative Studies on the Impacts of New Transportation Technologies," Sustainability, MDPI, vol. 13(6), pages 1-21, March.

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