Understanding acceptance of autonomous vehicles in Japan, UK, and Germany

References

• Bagozzi, R. P., & Lee, K. H. 1999. Consumer resistance to, and acceptance of, innovations. E. J. Arnould & S. L. M, Eds. NA - advances in consumer research, 26. 218–225. Association for Consumer Research. Visit http://acrwebsite.org/volumes/7902/volumes/v26/NA-26
   Google Scholar
• Bansal, P., Kockelman, K. M., & Singh, A. (2016). Assessing public opinions of and interest in new vehicle technologies: An Austin perspective. Transportation Research Part C, 67, 1–14. https://doi.org/10.1016/j.trc.2016.01.019
   Web of Science ®Google Scholar
• Chan, C.-Y. (2017). Advancements, prospects, and impacts of automated driving systems. International Journal of Transportation Science and Technology, 6(3), 208–216. https://doi.org/10.1016/j.ijtst.2017.07.008
   Google Scholar
• Clogg, C. C., Petkova, E., & Haritou, A. (1995). Statistical methods for comparing regression coefficients between models. American Journal of Sociology, 100(5), 1261–1293. https://doi.org/10.1086/230638
   Web of Science ®Google Scholar
• Daziano, R. A., Sarrias, M., & Leard, B. (2017). Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 150–164. https://doi.org/10.1016/j.trc.2017.03.003
   Web of Science ®Google Scholar
• Edensor, T. (2004). Automobility and national identity, representation, geography and driving practice, theory. Theory, Culture & Society, 21(4–5), 101–120. https://doi.org/10.1177/0263276404046063
   Web of Science ®Google Scholar
• Escandon-Barbosa, D., Salas-Paramo, J., Meneses-Franco, A. I., & Giraldo-Gonzalez, C. (2021). Adoption of new technologies in developing countries: The case of autonomous car between Vietnam and Colombia. Technology in Society, 66, 101674. https://doi.org/10.1016/j.techsoc.2021.101674. forthcoming.
   Web of Science ®Google Scholar
• European Commission. (2020). Special eurobarometer 496: Expectations and concerns from a connected and automated mobility, DG Communication, Brussels, 7 April. Visit https://data.europa.eu/euodp/en/data/dataset/S2231_92_1_496_ENG. 25 June 2020
   Google Scholar
• Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A, 77, 167–181. https://doi.org/10.1016/j.tra.2015.04.003.
   Google Scholar
• Gopinath, K., & Narayanamurthy, G. Early bird catches the worm! Meta-analysis of autonomous vehicles adoption – Moderating role of automation level, ownership and culture. (2022). International Journal of Information Management, 66(66), 102536. forthcoming. https://doi.org/10.1016/j.ijinfomgt.2022.102536
   Google Scholar
• Gruel, W., & Stanford, J. M. (2016). Assessing the long-term effects of autonomous vehicles: A speculative approach. Transportation Research Procedia, 13, 18–29. https://doi.org/10.1016/j.trpro.2016.05.003
   Google Scholar
• Haboucha, C. J., Ishaq, R., & Shiftan, Y. (2017). User preferences regarding autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 37–49. https://doi.org/10.1016/j.trc.2017.01.010
   Web of Science ®Google Scholar
• Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online Readings in Psychology and Culture, 2(1). https://doi.org/10.9707/2307-0919.1014
   Google Scholar
• Hulse, L. M., Xie, H., & Galea, R. (2018). Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age. Safety Science, 102, 1–13. https://doi.org/10.1016/j.ssci.2017.10.001
   Web of Science ®Google Scholar
• Infoholic Research. 2017. Autonomous vehicle market: Global drivers, restraints, opportunities, trends, and forecasts to 2023. Report 4327961. Bangalore, India: Infoholic Research.
   Google Scholar
• Kaye, S.-A., Lewis, I., Forward, S., & Delhomme, P. (2020). A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT. Accident Analysis and Prevention, forthcoming, 137. https://doi.org/10.1016/j.aap.2020.105441.
   Google Scholar
• Kyriakidis, M., Happee, R., & de Winter, J. C. F. (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 127–140. https://doi.org/10.1016/j.trf.2015.04.014
   Web of Science ®Google Scholar
• Leicht, T., Chtourou, A., & Ben Youssef, K. (2018). Consumer innovativeness and intentioned autonomous car adoption. The Journal of High Technology Management Research, 29(1), 1–11. https://doi.org/10.1016/j.hitech.2018.04.001
   Google Scholar
• Lipson, H., & Kurman, M. (2016). Driverless: Intelligent cars and the road ahead. MIT Press.
   Google Scholar
• Mukaidono, M. (2009). Current topics on safety technologies and its public acceptance. Journal of the Japan Society for Precision Engineering, in Japanese, 75 (9), 1041–1044. https://www.jstage.jst.go.jp/article/jjspe/75/9/75_9_1041/_article/-char/ja/. Japanese
   Google Scholar
• National highway traffic safety administration: Preliminary statement of policy concerning auto-mated vehicles, http://www.nhtsa.gov/staticfiles/rulemaking/pdf/Automated_Vehicles_Policy.pdf, 2013
   Google Scholar
• National Police Agency. (2016). Report on survey research on institutional issues of automatic driving. (in Japanese). https://www.npa.go.jp/koutsuu/kikaku/jidosoko/kentoiinkai/report/honbun.pdf
   Google Scholar
• Osborne, J. W. (2015). What is rotating in exploratory factor analysis? Practical Assessment, Research and Evaluation, 20 (2). https://scholarworks.umass.edu/pare/vol20/iss1/2/. Article 2.
   Google Scholar
• Oxford English Dictionary. (2020). Visit https://en.oxforddictionaries.com/definition/culture. 25 June 2020
   Google Scholar
• Papadimitriou, E., & Yannis, G. (2014). Needs and priorities of road safety stakeholders for evidence-based policy making. Transport Policy, 35, 286–294. https://doi.org/10.1016/j.tranpol.2014.06.006
   Web of Science ®Google Scholar
• Paternoster, R., Brame, R., Mazerolle, P., & Piquero, A. (1998). Using the correct statistical test for the equality of regression coefficients. Criminology, 36(4), 859–866. https://doi.org/10.1111/j.1745-9125.1998.tb01268.x
   Web of Science ®Google Scholar
• Payre, W., Cestac, J., & Delhomme, P. (2014). Intention to use a fully automated car: Attitudes and a priori acceptability. Transportation Research Part F: Traffic Psychology and Behaviour, 27(B), 252–263. https://doi.org/10.1016/j.trf.2014.04.009
   Google Scholar
• Potoglou, D., Whittle, C., Tsouros, I., & Whitmarsh, L.2020 Consumer intentions for alternative fuelled and autonomous vehicles: A segmentation analysis across six countries. Transportation Research Part D (3rd), Vol. 79 press.Rogers, E.M. ( press.Rogers, E.M.). press.Rogers, E.M. The Free Press. https://doi.org/10.1016/j.trd.2020.102243.
   Google Scholar
• SAE International. (2021). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles 30 April. Visit https://www.sae.org/standards/content/j3016_202104/. 20 July 2022
   Google Scholar
• Slovic, P. (1987). Perception of Risk. Science, 236(4799), 280–285. https://doi.org/10.1126/science.3563507
   PubMed Web of Science ®Google Scholar
• Souris, C., Theofilatos, A., & Yannis, G. (2019). Attitudes of Greek drivers towards autonomous vehicles A preliminary analysis using stated preference approach. Advances in Transportation Studies: an International Journal Section B, 48, 105–116. http://www.atsinternationaljournal.com/index.php/2019-issues/xlviii-july-2019/1062-attitudes-of-greek-drivers-towards-autonomous-vehicles-a-preliminary-analysis-using-stated-preference-approach.
   Google Scholar
• Sovacool, B. K., & Griffiths, S. (2020). The cultural barriers to a low-carbon future: A review of six mobility and energy transitions across 28 countries. Renewable and Sustainable Energy Reviews, 119, 109569. https://doi.org/10.1016/j.rser.2019.109569
   Web of Science ®Google Scholar
• Steers, R. M., Meyer, A. D., & Sanchez-Runde, C. J. (2008). National culture and the adoption of new technologies. Journal of World Business, 43(3), 255–260. https://doi.org/10.1016/j.jwb.2008.03.007
   Web of Science ®Google Scholar
• Suzuki, H. (2016). Non-Technical Issues for the implementation of highly automated driving systems. JARI Research Journal, J20160605(in Japanese), 1–4.
   Google Scholar
• Takahashi, A., & Kamada, T. (2016). Social acceptability of fully autonomous vehicles. Denso Technical Review, 21(in Japanese with English abstract), 22–29.
   Google Scholar
• Takahashi, T., & Sato, T. (2014). Proposal of environmental impact assessment index considering public acceptance application to power generation technologies. Journal of Japan Society of Energy and Resources, 35(2), 1–10. https://www.jstage.jst.go.jp/article/jjser/35/2/35_1/_article/-char/ja/. in Japanese with English abstract
   Google Scholar
• Tanaka, Y. (1995). Major factors of deciding public acceptance of a variety of technology. The Japanese Journal of Experimental Social Psychology, 35(1), 111–117. https://www.jstage.jst.go.jp/article/jjesp1971/35/1/35_1_111/_article. in Japanese with English abstract
   Google Scholar
• Theofilatos, A., & Yannis, G. (2014). Relationship between motorcyclists’ attitudes, behavior, and other attributes with declared accident involvement in Europe. Traffic Injury Prevention, 15(2), 156–164. https://doi.org/10.1080/15389588.2013.801554.
   PubMed Web of Science ®Google Scholar
• Venaik, S., & Brewer, P. (2013). Critical issues in the Hofstede and GLOBE national culture models. International Marketing Review, 30(5), 469–482. https://www.emerald.com/insight/content/doi/10.1108/IMR-03-2013-0058/full/html.
   Web of Science ®Google Scholar
• Yun, Y., Oh, H., & Myung, R. (2021). Statistical modelling of cultural differences in adopting autonomous vehicles. Applied Sciences, 11(19). https://www.mdpi.com/2076-3417/11/19/9030. forthcoming.
   Google Scholar