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Do People Prefer Cars That People Don’t Drive? A Survey Study on Autonomous Vehicles

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  • Ieva Meidute-Kavaliauskiene

    (Research Group on Logistics and Defense Technology Management, General Jonas Žemaitis Military Academy of Lithuania, Silo St. 5A, 10332 Vilnius, Lithuania)

  • Bülent Yıldız

    (Faculty of Economics and Administrative Sciences, Kastamonu University, Kastamonu 37150, Turkey)

  • Şemsettin Çiğdem

    (Faculty of Economics and Administrative Sciences, Gaziantep University, Gaziantep 27310, Turkey)

  • Renata Činčikaitė

    (Research Group on Logistics and Defense Technology Management, General Jonas Žemaitis Military Academy of Lithuania, Silo St. 5A, 10332 Vilnius, Lithuania)

Abstract

Only recently, smart cities are taking shape, thanks to the rapid development of Internet of Things (IoT), cloud computing, and other similar technologies. Given the high demands placed on advanced technologies such as autonomous driving, cloud data services, and high-precision sensors, smart cities are creating an intelligent transportation environment conducive to the introduction of autonomous vehicles (AVs). In this context, the use of AVs in transportation is also considered a form of transportation innovation. As a result, AVs are considered more favorable to people interested in new technologies because they appear to be technologically superior. Their association with the most up-to-date technology can serve as a symbol for those who wish to demonstrate their interest in new technologies through their appearance. The positive image of technological innovation projected by AVs may influence their acceptance among technology enthusiasts to a significant degree. In this context, this study investigates the effects of perceived advantage, perceived risk, and perceived safety on the intention to use autonomous vehicles. For this purpose, data were collected from vehicle users living in Turkey by survey method. Secondly, factor analyses and regression analyses were performed with the data set obtained from 611 participants. As a result of the analyses, it has been determined that the perceived advantage and perceived security increase the intention to use autonomous vehicles. In contrast, the perceived risk reduces this intention to use. According to these results, recommendations were made to the companies about the level of acceptance of this technology by the users to assess their investments in autonomous vehicles better.

Suggested Citation

  • Ieva Meidute-Kavaliauskiene & Bülent Yıldız & Şemsettin Çiğdem & Renata Činčikaitė, 2021. "Do People Prefer Cars That People Don’t Drive? A Survey Study on Autonomous Vehicles," Energies, MDPI, vol. 14(16), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4795-:d:609870
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    References listed on IDEAS

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    1. Dirsehan, Taşkın & Can, Ceren, 2020. "Examination of trust and sustainability concerns in autonomous vehicle adoption," Technology in Society, Elsevier, vol. 63(C).
    2. Peng Jing & Hao Huang & Bin Ran & Fengping Zhan & Yuji Shi, 2019. "Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    3. Penmetsa, Praveena & Adanu, Emmanuel Kofi & Wood, Dustin & Wang, Teng & Jones, Steven L., 2019. "Perceptions and expectations of autonomous vehicles – A snapshot of vulnerable road user opinion," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 9-13.
    4. 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.
    5. 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.
    6. Dahlen Silva & Dávid Földes & Csaba Csiszár, 2021. "Autonomous Vehicle Use and Urban Space Transformation: A Scenario Building and Analysing Method," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    7. Christina Pakusch & Gunnar Stevens & Alexander Boden & Paul Bossauer, 2018. "Unintended Effects of Autonomous Driving: A Study on Mobility Preferences in the Future," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    8. 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).
    9. Miralles-Guasch, Carme & Martínez Melo, Montserrat & Marquet Sarda, Oriol, 2014. "On user perception of private transport in Barcelona Metropolitan area: an experience in an academic suburban space," Journal of Transport Geography, Elsevier, vol. 36(C), pages 24-31.
    10. Bennett, Roger & Vijaygopal, Rohini & Kottasz, Rita, 2019. "Attitudes towards autonomous vehicles among people with physical disabilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 1-17.
    11. Tang, Christopher S. & Veelenturf, Lucas P., 2019. "The strategic role of logistics in the industry 4.0 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 1-11.
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