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Modeling Cross-National Differences in Automated Vehicle Acceptance

Author

Listed:
  • Shelly Etzioni

    (Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa 3200003, Israel)

  • Jamil Hamadneh

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics (BME), 1111 Budapest, Hungary)

  • Arnór B. Elvarsson

    (Infrastructure Management Consultants, 8008 Zürich, Switzerland)

  • Domokos Esztergár-Kiss

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics (BME), 1111 Budapest, Hungary)

  • Milena Djukanovic

    (Faculty of Electrical Engineering, University of Montenegro, 81000 Podgorica, Montenegro)

  • Stelios N. Neophytou

    (Department of Engineering, School of Sciences and Engineering, University of Nicosia (UNIC), Nicosia 1700, Cyprus)

  • Jaka Sodnik

    (ICT Department, Faculty of Electrical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia)

  • Amalia Polydoropoulou

    (Department of Shipping, Trade and Transport, Business School, University of the Aegean, 82 100 Chios, Greece)

  • Ioannis Tsouros

    (Department of Shipping, Trade and Transport, Business School, University of the Aegean, 82 100 Chios, Greece)

  • Cristina Pronello

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10125 Torino, Italy
    Sorbonne Universités-Université de Technologie de Compiègne, 60200 Compiègne, France)

  • Nikolas Thomopoulos

    (WISE-ACT Chair and Department of Tourism and Transport, School of Hospitality and Tourism Management, University of Surrey, Guildford GU2 7XH, UK)

  • Yoram Shiftan

    (Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa 3200003, Israel)

Abstract

The technology that allows fully automated driving already exists and it may gradually enter the market over the forthcoming decades. Technology assimilation and automated vehicle acceptance in different countries is of high interest to many scholars, manufacturers, and policymakers worldwide. We model the mode choice between automated vehicles and conventional cars using a mixed multinomial logit heteroskedastic error component type model. Specifically, we capture preference heterogeneity assuming a continuous distribution across individuals. Different choice scenarios, based on respondents’ reported trip, were presented to respondents from six European countries: Cyprus, Hungary, Iceland, Montenegro, Slovenia, and the UK. We found that large reservations towards automated vehicles exist in all countries with 70% conventional private car choices, and 30% automated vehicles choices. We found that men, under the age of 60, with a high income who currently use private car, are more likely to be early adopters of automated vehicles. We found significant differences in automated vehicles acceptance in different countries. Individuals from Slovenia and Cyprus show higher automated vehicles acceptance while individuals from wealthier countries, UK, and Iceland, show more reservations towards them. Nontrading mode choice behaviors, value of travel time, and differences in model parameters among the different countries are discussed.

Suggested Citation

  • Shelly Etzioni & Jamil Hamadneh & Arnór B. Elvarsson & Domokos Esztergár-Kiss & Milena Djukanovic & Stelios N. Neophytou & Jaka Sodnik & Amalia Polydoropoulou & Ioannis Tsouros & Cristina Pronello & N, 2020. "Modeling Cross-National Differences in Automated Vehicle Acceptance," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9765-:d:449636
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    References listed on IDEAS

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    Cited by:

    1. Miltos Kyriakidis & Jaka Sodnik & Kristina Stojmenova & Arnór B. Elvarsson & Cristina Pronello & Nikolas Thomopoulos, 2020. "The Role of Human Operators in Safety Perception of AV Deployment—Insights from a Large European Survey," Sustainability, MDPI, vol. 12(21), pages 1-24, November.
    2. Wang, Song & Li, Zhixia & Wang, Yi & Wyatt, Daniel Aaron, 2024. "How effective is automated vehicle education? – A Kentucky case study revealing the dynamic nature of education effectiveness," Transport Policy, Elsevier, vol. 147(C), pages 140-157.
    3. Jason Soria & Shelly Etzioni & Yoram Shiftan & Amanda Stathopoulos & Eran Ben-Elia, 2022. "Microtransit adoption in the wake of the COVID-19 pandemic: evidence from a choice experiment with transit and car commuters," Papers 2204.01974, arXiv.org.
    4. Liliana Andrei & Mihaela Hermina Negulescu & Oana Luca, 2022. "Premises for the Future Deployment of Automated and Connected Transport in Romania Considering Citizens’ Perceptions and Attitudes towards Automated Vehicles," Energies, MDPI, vol. 15(5), pages 1-23, February.

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