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Perceived benefits and concerns of autonomous vehicles: An exploratory study of millennials’ sentiments of an emerging market

Author

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  • Woldeamanuel, Mintesnot
  • Nguyen, Dang

Abstract

This exploratory research investigates the perception of the millennials on the Autonomous Vehicle (AV) technology in order to understand the relationship between tech-fluency and the positive view about the AV technology. While generational differences have always existed, millennials have distinctive qualities that are intrinsically embedded into their behavior. Using an exploratory survey, this study examines general sentiments regarding the various elements of AV technology. The results indicate that while both millennial and non-millennial generation cohorts indeed share common sentiments toward AVs, a majority of the issues presented by this study show an ultimate dichotomy between the two generational cohorts.

Suggested Citation

  • Woldeamanuel, Mintesnot & Nguyen, Dang, 2018. "Perceived benefits and concerns of autonomous vehicles: An exploratory study of millennials’ sentiments of an emerging market," Research in Transportation Economics, Elsevier, vol. 71(C), pages 44-53.
  • Handle: RePEc:eee:retrec:v:71:y:2018:i:c:p:44-53
    DOI: 10.1016/j.retrec.2018.06.006
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    Cited by:

    1. Ljubi, Klara & Groznik, Aleš, 2023. "Role played by social factors and privacy concerns in autonomous vehicle adoption," Transport Policy, Elsevier, vol. 132(C), pages 1-15.
    2. Wu, Jingwen & Liao, Hua & Wang, Jin-Wei, 2020. "Analysis of consumer attitudes towards autonomous, connected, and electric vehicles: A survey in China," Research in Transportation Economics, Elsevier, vol. 80(C).
    3. Maeng, Kyuho & Jeon, Seung Ryong & Park, Taeho & Cho, Youngsang, 2021. "Network effects of connected and autonomous vehicles in South Korea: A consumer preference approach," Research in Transportation Economics, Elsevier, vol. 90(C).
    4. Jiang, Ying & Guo, Zijian & Zhang, Runsen & Zong, Weiyan & Zhang, Junyi, 2023. "How do expected changes in life affect young people's stated ownership of privately-owned autonomous vehicles: A comparative study," Transport Policy, Elsevier, vol. 135(C), pages 71-81.
    5. Darius Kianersi & Suraj Uppalapati & Anirudh Bansal & Jeremy Straub, 2022. "Evaluation of a Reputation Management Technique for Autonomous Vehicles," Future Internet, MDPI, vol. 14(2), pages 1-21, January.
    6. Dhasmana, Samriddhi & Ghosh, Sajal & Kanjilal, Kakali, 2023. "Does investor sentiment influence ESG stock performance? Evidence from India," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    7. Jen Sim Ho & Booi Chen Tan & Teck Chai Lau & Nasreen Khan, 2023. "Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    8. Kassens-Noor, Eva & Dake, Dana & Decaminada, Travis & Kotval-K, Zeenat & Qu, Teresa & Wilson, Mark & Pentland, Brian, 2020. "Sociomobility of the 21st century: Autonomous vehicles, planning, and the future city," Transport Policy, Elsevier, vol. 99(C), pages 329-335.
    9. Li, Dun & Huang, Youlin & Qian, Lixian, 2022. "Potential adoption of robotaxi service: The roles of perceived benefits to multiple stakeholders and environmental awareness," Transport Policy, Elsevier, vol. 126(C), pages 120-135.
    10. Kumar, Girish & James, Ajith Tom & Choudhary, Krishna & Sahai, Rishi & Song, Weon Keun, 2022. "Investigation and analysis of implementation challenges for autonomous vehicles in developing countries using hybrid structural modeling," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    11. Sujanie Peiris & Janneke Berecki-Gisolf & Bernard Chen & Brian Fildes, 2020. "Road Trauma in Regional and Remote Australia and New Zealand in Preparedness for ADAS Technologies and Autonomous Vehicles," Sustainability, MDPI, vol. 12(11), pages 1-26, May.
    12. Ghazaleh Azimi & Alireza Rahimi & Xia Jin, 2022. "Exploring the attitudes of Millennials and Generation Xers toward ridesourcing services," Transportation, Springer, vol. 49(6), pages 1765-1799, December.

    More about this item

    Keywords

    Autonomous vehicles; Autonomous cars; Automated vehicles; Driverless vehicle; Self-driving vehicles; Self-driving cars; Millennials; New technology; Artificial intelligence; Connected vehicles; Car crash; Road traffic accidents; Commuting; Travel time; Safety and security;
    All these keywords.

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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