Othman, K. (2022a) Exploring the implications of autonomous vehicles: A comprehensive review. Innovative Infrastructure Solutions, 7(2), 165.Search in Google Scholar
Othman, K. (2022b) Multidimension analysis of autonomous vehicles: the future of mobility. Civil Engineering Journal, 7, 71-93.Search in Google Scholar
Abdelgawad, H. and Othman, K. (2020) Multifaceted synthesis of autonomous vehicles’ emerging landscape. In: Connected and autonomous vehicles in smart cities, 67-113. CRC Press.Search in Google Scholar
Kopelias, P., Demiridi, E., Vogiatzis, K., Skabardonis, A. and Zafiropoulou, V. (2020) Connected & autonomous vehicles–Environmental impacts–A review. Science of the total environment, 712, 135237.Search in Google Scholar
Spence, J.C., Kim, Y.B., Lamboglia, C.G., Lindeman, C., Mangan, A.J., McCurdy, A.P., Stearns, J.A., Wohlers, B., Sivak, A. and Clark, M.I. (2020) Potential impact of autonomous vehicles on movement behavior: a scoping review. American journal of preventive medicine, 58(6), e191-e199.Search in Google Scholar
Narayanan, S., Chaniotakis, E. and Antoniou, C. (2020) Shared autonomous vehicle services: A comprehensive review. Transportation Research Part C: Emerging Technologies, 111, 255-293.Search in Google Scholar
Othman, K. (2022) Cities in the Era of Autonomous Vehicles: A Comparison Between Conventional Vehicles and Autonomous Vehicles. In: Resilient and Responsible Smart Cities, 95-108. Cham: Springer International Publishing.Search in Google Scholar
Othman, K. (2021a) Public acceptance and perception of autonomous vehicles: a comprehensive review. AI and Ethics, 1(3), 355-387.Search in Google Scholar
Othman, K. (2023) Public attitude towards autonomous vehicles before and after crashes: A detailed analysis based on the demographic characteristics. Cogent Engineering, 10(1), 2156063.Search in Google Scholar
Othman, K. (2021b). Impact of autonomous vehicles on the physical infrastructure: Changes and challenges. Designs, 5(3), p.40.Search in Google Scholar
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.Search in Google Scholar
Berliner, R.M., Hardman, S. and Tal, G. (2019) Uncovering early adopter’s perceptions and purchase intentions of automated vehicles: Insights from early adopters of electric vehicles in California. Transportation research part F: traffic psychology and behaviour, 60, 712-722.Search in Google Scholar
Agarwal, R. and Prasad, J. (1997) The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision sciences, 28(3), 557-582.Search in Google Scholar
Brockman, B.K. and Morgan, R.M. (1999) The evolution of managerial innovations in distribution: what prospects for ECR? International Journal of Retail & Distribution Management, 27(10), 397-408.Search in Google Scholar
Freeman, C. (1995) The ‘National System of Innovation’in historical perspective. Cambridge Journal of economics, 19(1), 5-24.Search in Google Scholar
Hardman, S., Steinberger-Wilckens, R. and Van Der Horst, D. (2013) Disruptive innovations: the case for hydrogen fuel cells and battery electric vehicles. International Journal of Hydrogen Energy, 38(35), 15438-15451.Search in Google Scholar
Hsu, C.L., Lu, H.P. and Hsu, H.H. (2007) Adoption of the mobile Internet: An empirical study of multimedia message service (MMS). Omega, 35(6), 715-726.Search in Google Scholar
Johnson, V.L., Kiser, A., Washington, R. and Torres, R. (2018) Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111-122.Search in Google Scholar
Van Slyke, C., Ilie, V., Lou, H. and Stafford, T. (2007) Perceived critical mass and the adoption of a communication technology. European Journal of Information Systems, 16(3), 270-283.Search in Google Scholar
Davis, N. (2018) New laser technology lets driverless cars see round corners. Guardian. Retrieved from https://www.theguardian.com/technology/2018/mar/05/selfdriving-cars-may-soon-be-able-tosee-around-corners.Search in Google Scholar
Halsey, A. (2017) Driverless cars promise far greater mobility for the elderly and people with disabilities. Wash. Post Retrieved from. https://www.washingtonpost.com/local/trafficandcommuting/driverless-cars-promise-far-greater-mobility-for-theelderly-and-people-with-disabilities/2017/11/23/6994469c-c4a3-11e7-84bc-5e285c7f4512_story.html?utm_term=.b5549509a7a4.Search in Google Scholar
Wakabayashi, D. (2018) Self-driving Uber car kills Arizona pedestrian, where robots roam. The New York Times. Retrieved from https://www.nytimes.com/2018/03/19/technology/uber-driverless-fatality.htmlSearch in Google Scholar
Geer, J.G. and Kahn, K.F. (1993) Grabbing attention: An experimental investigation of headlines during campaigns. Political Communication, 10(2), 175-191.Search in Google Scholar
Gerber, A.S., Karlan, D. and Bergan, D. (2009) Does the media matter? A field experiment measuring the effect of newspapers on voting behavior and political opinions. American Economic Journal: Applied Economics, 1(2), 35-52.Search in Google Scholar
Kull, S., Ramsay, C. and Lewis, E. (2003) Misperceptions, the media, and the Iraq war. Political science quarterly, 118(4), 569-598.Search in Google Scholar
Siegrist, M. and Cvetkovich, G. (2000) Perception of hazards: The role of social trust and knowledge. Risk analysis, 20(5), 713-720.Search in Google Scholar
Siegrist, M. (2000) The influence of trust and perceptions of risks and benefits on the acceptance of gene technology. Risk analysis, 20(2), 195-204.Search in Google Scholar
Ward, C., Raue, M., Lee, C., D’Ambrosio, L. and Coughlin, J.F. (2017) Acceptance of automated driving across generations: The role of risk and benefit perception, knowledge, and trust. In: Human-Computer Interaction. User Interface Design, Development and Multimodality: 19th International Conference, HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I 19, 254-266. Springer International Publishing.Search in Google Scholar
Poczter, S.L. and Jankovic, L.M. (2014) The google car: driving toward a better future? Journal of Business Case Studies (JBCS), 10(1), 7-14.Search in Google Scholar
Stewart, L., Musa, M., Croce, N. (2019) Look no hands: self-driving vehicles' public trust problem. World economic Forum. https://www.weforum.org/agenda/2019/08/self-driving-vehicles-public-trust/Search in Google Scholar
American Automobile Association (AAA) (2018) Fact Sheet Vehicle Technology Survey—Phase IIIB. Retrieved online via https://publicaffairsresources.aaa.biz/download/10980/.Search in Google Scholar
Lienert, P. (2018) Most Americans wary of self-driving cars: Reuters/Ipsos poll. Retrieved from https://www.reuters.com/article/us-autos-selfdriving-usa-poll/most-americans-wary-of-selfdriving-cars-reuters-ipsos-poll-idUSKBN1FI034Search in Google Scholar
Nordhoff, S., Kyriakidis, M., Van Arem, B. and Happee, R. (2019) A multi-level model on automated vehicle acceptance (MAVA): A review-based study. Theoretical issues in ergonomics science, 20(6), 682-710.Search in Google Scholar
Janatabadi, F. and Ermagun, A. (2022) Empirical evidence of bias in public acceptance of autonomous vehicles. Transportation research part F: traffic psychology and behaviour, 84, 330-347.Search in Google Scholar
Liu, P., Guo, Q., Ren, F., Wang, L. and Xu, Z. (2019) Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors. Transportation Research Part C: Emerging Technologies, 100, 306-317.Search in Google Scholar
Ho, S.S., Leow, V.J.X. and Leung, Y.W. (2020) Driving without the brain? Effects of value predispositions, media attention, and science knowledge on public willingness to use driverless cars in Singapore. Transportation research part F: traffic psychology and behaviour, 71, 49-61.Search in Google Scholar
Nordhoff, S., Louw, T., Innamaa, S., Lehtonen, E., Beuster, A., Torrao, G., Bjorvatn, A., Kessel, T., Malin, F., Happee, R. and Merat, N. (2020) Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries. Transportation research part F: traffic psychology and behaviour, 74, 280-297.Search in Google Scholar
Golbabaei, F., Yigitcanlar, T., Paz, A. and Bunker, J. (2020) Individual predictors of autonomous vehicle public acceptance and intention to use: A systematic review of the literature. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 106.Search in Google Scholar
König, M. and Neumayr, L. (2017) Users’ resistance towards radical innovations: The case of the self-driving car. Transportation research part F: traffic psychology and behaviour, 44, 42-52.Search in Google Scholar
Charness, N., Yoon, J.S., Souders, D., Stothart, C. and Yehnert, C. (2018) Predictors of attitudes toward autonomous vehicles: The roles of age, gender, prior knowledge, and personality. Frontiers in psychology, 9, 2589.Search in Google Scholar
Jing, P., Huang, H., Ran, B., Zhan, F. and Shi, Y. (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, 11(4), 1155.Search in Google Scholar
Stilgoe, J. and Cohen, T. (2021) Rejecting acceptance: learning from public dialogue on self-driving vehicles. Science and Public Policy, 48(6), 849-859.Search in Google Scholar
DMV. (2022) Autonomous Vehicle Collision Reports. https://www.dmv.ca.gov/portal/vehicle-industry-services/autonomous-vehicles/autonomous-vehicle-collision-reports/Search in Google Scholar
United States Census Bureau. (2022) Growth in U.S. Population Shows Early Indication of Recovery Amid COVID-19 Pandemic.https://www.census.gov/newsroom/press-releases/2022/2022-population-estimates.htmlSearch in Google Scholar