A Conceptual Framework for Acceptance of Autonomous Vehicle in Malaysia DOI: https://doi.org/10.33093/ijomfa.2024.5.1.7
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Abstract
Mobility is evolving globally. Automated vehicle technology is consistently advancing with the development of Artificial Intelligence and information communication technology. The Autonomous Vehicle is acknowledged with the benefits of reducing traffic fatalities, reduced emissions and convenience. If autonomous vehicles are widely adopted, the Sustainable Development Goals could be achieved. Various studies have been conducted to investigate the psychological factors (internal) as well as assess the efforts of institutions (external) in promoting the adoption of autonomous vehicles. Nonetheless, there is very few studies examined the impacts of internal and external factors on the acceptance of autonomous vehicles simultaneously. Therefore, this study is taken to close the gap in understanding the acceptance of autonomous vehicles in Malaysia by integrating the internal factors and external factors in a model. By reviewing the past studies, a conceptual framework which can offer a comprehensive insight to the policymakers and car makers from the public’s perspective is proposed. Implications from this study can serve as a basis for prioritising the budget resources and development guidelines for the successful implementation of autonomous vehicles in Malaysia.
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References
AAA. (2019). Fact sheet: Vehicle technology survey-phase IV. Retrieved from https://newsroom.aaa.com/tag/self-driving-cars/ on 20 December 2022.
Abe, G., Itoh, M., & Tanaka, K. (2002). Dynamics of drivers’ trust in warning systems. In L. Basa˜nez (Ed.), IFAC Proceedings Volumes, Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (pp. 363–368).
Acheampong, R. A., & Cugurullo, F. (2019). Capturing the behavioural determinants behind the adoption of autonomous vehicles: Conceptual frameworks and measurement models to predict public transport, sharing and ownership trends of self-driving cars. Transportation research part F: traffic psychology and behaviour, 62, 349-375.
Ackaah, W., & Osei, K. K. (2021). Perception of autonomous vehicles–A Ghanaian perspective. Transportation research interdisciplinary perspectives, 11, 100437.
Anderson, J. M., Kalra, N., Stanley, K. D., Sorensen, P., Samaras, C., & Oluwatola, O. A. (2014). Autonomous vehicle technology: A guide for policymakers. Santa Monica, CA: RAND Corporation.
Adnan, N., Nordin, S.M., Rahman, I., Rasli, A.M., 2017. A new era of sustainable transport: an experimental examination on forecasting adoption behavior of EVs among Malaysian consumer. Transport. Res. Pol. Pract. 103, 279-295.
Bagloee, S. A., Tavana, M., Asadi, M., & Oliver, T. (2016). Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. Journal of modern transportation, 24, 284-303.
Boeglin, J., 2015. The costs of self-driving cars: reconciling freedom and privacy with tort liability in autonomous vehicle regulation. Yale J. Law Technol. 17, 171–368.
Buckley, L., Kaye, S.-A., & Pradhan, A. K. (2018). Psychosocial factors associated with intended use of automated vehicles: A simulated driving study. Accident Analysis & Prevention, 115, 202–208.
Choi, J. K., & Ji, Y. G. (2015). Investigating the importance of trust on adopting an autonomous vehicle. International Journal of Human-Computer Interaction, 31(10), 692-702.
Department of Motor Vehicles, California. “Autonomous Vehicles”. Retrieved from https://www.dmv.ca.gov/portal/vehicle-industry-services/autonomous-vehicles/ autonomous-vehicle-definitions/[Accessed 19th June 2020].
Dong, X., DiScenna, M., Guerra, E., (2019). Transit user perceptions of driverless buses. Transportation, doi: http://10.1007/s11116-017-9786-
Freedman, I.G., Kim, E., & Muennig, P.A. (2018) Autonomous vehicles. American Journal of Public Health, 107, 532 – 537.
Futurise, (2024). MyAV. Retrieved from website: https://futurise.com.my/myav on January 2024.
Garza, A.P. (2011). Look ma, no hands: wrinkles and wrecks in the age of autonomous vehicles. N. Engl. Law Rev. 46, 581–616.
Gold, C., K¨orber, M., Hohenberger, C., Lechner, D., & Bengler, K. (2015). Trust in automation–before and after the experience of take-over scenarios in a highly automated vehicle. Procedia Manufacturing, 3, 3025–3032. https://doi.org/10.1016/j.promfg.2015.07.84
Günthner, T. & Proff, H. (2021). On the way to autonomous driving: How age influences the acceptance of driver assistance systems. Transportation research part F: traffic psychology and behaviour, 81, 586-607.
Hussain, Q., Alhajyaseen, W. K., Adnan, M., Almallah, M., Almukdad, A., & Alqaradawi, M. (2021). Autonomous vehicles between anticipation and apprehension: Investigations through safety and security perceptions. Transport policy, 110, 440-451.
Lee, J.D., See, K.A., 2004. Trust in automation: designing for appropriate reliance. Hum. Factors, 46 (1), 50.
Liu, N., Nikitas, A., & Parkinson, S. (2020). Exploring expert perceptions about the cyber security and privacy of Connected and Autonomous Vehicles: A thematic analysis approach. Transportation research part F: traffic psychology and behaviour, 75, 66-86
Liu, C., Wang, Q. and Susilo, Y.O. (2019a), “Assessing the impacts of collection- delivery points to individual’s activity-travel patterns. A greener last mile alternative?”, Transportation Research Part E: Logistics and Transportation Review, No. 121, pp. 84–99.
Liu, H., Yang, R., Wang, L. and Liu, P. (2019b), “Evaluating Initial Public Acceptance of Highly and Fully Autonomous Vehicles”, International Journal of Human– Computer Interaction, Vol. 35 No. 11, pp. 919–931.
Luttrell, K., Weaver, M., & Harris, M. (2015). The effect of autonomous vehicles on trauma and health care. Journal of Trauma and Acute Care Surgery, 79, 678–682.
IIHS, 2010. New Estimates of Benefits of Crash Avoidance Features on Passenger Vehicles (Status Report No. 45). Insurance Institute for Highway Safety. Jing,
Jain, N. K., Bhaskar, K., & Jain, S. (2022). What drives adoption intention of electric vehicles in India? An integrated UTAUT model with environmental concerns, perceived risk and government support. Research in Transportation Business & Management, 42, 100730.
Musselwhite, C., Avineri, E., & Susilo, Y. O. (2014). Legitimising risk taking: Articulating dangerous behaviour on the road. Transportation Planning and Technology, 37(1), 62–82.
National Highway Traffic Safety Administration. (2018). Critical reasons for crashes investigated in the national motor vehicle crash causation survey. NHTSA’s National Center for Statistics and Analysis, U.S. Department of Transportation. Available: https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812115 (January 2019).
Nastjuk, I., Herrenkind, B., Marrone, M., Brendel, A. B., & Kolbe, L. M. (2020). What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user’s perspective. Technological Forecasting and Social Change, 161, Article 120319.
Noy, I.Y., Shinar, D., Horrey, W.J., 2018. Automated driving: safety blind spots. Saf. Sci. 102, 68–78
Nyholm, S., Smids, J., 2016. The ethics of accident-algorithms for self-driving cars: an applied trolley problem? Ethical Theory Moral Pract 19 (5), 1275–1289. https://doi. org/10.1007/s10677-016-9745-2.
Pascale, M. T., D. Rodwell, P. Coughlan, S. A. Kaye, S. Demmel, S. G. Dehkordi, and S. Glaser. 2021. “Passengers’ acceptance and perceptions of risk while riding in an automated vehicle on open, public roads.” Transp. Res. Part F Traffic Psychol. Behav. 83 (Nov): 274–290. https://doi.org/10.1016/j.trf.2021.10.012.
Pyrialakou, V. D., Gkartzonikas, C., Gatlin, J. D., & Gkritza, K. (2020). Perceptions of safety on a shared road: Driving, cycling, or walking near an autonomous vehicle. Journal of Safety Research, 72, 249–258. https://doi.org/10.1016/j.jsr.2019.12.017
SAE Automotive, 2018. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles; Report J3016_201806; SAE Automotive: Warrendale, PA, USA.
Singleton, P. A., De Vos, J., Heinen, E., & Pudane, B. (2020). Potential health and well- being implications of autonomous vehicles. In M. Dimitris, N. Thomopoulo, & B. Van Wee (Eds.), Policy implications of Autonomous Vehicles. Advances in Transport Policy and Planning. Elsevier.
Shariff, A., Bonnefon, J. F. & Rahwan, I. (2017). Psychological roadblocks to the adoption of self-driving vehicles: Nature Human. Behaviour 1, 694–696. https://doi.org/ 10.1038/s41562-017-0202-6
Sohrabi, S., Dadashova, B., Khreis, H., Sener, I. N., & Zmud, J. (2021). Quantifying the health and health equity impacts of autonomous vehicles: A conceptual framework and literature review. Journal of Transport & Health, 22, 101120.
Sommer, K. (2013). Continental mobility study 2011. Continental AG.
Tan, H., Zhao, X., Yang, J., 2022. Exploring the influence of anxiety, pleasure and subjective knowledge on public acceptance of fully autonomous vehicles. Comput. Hum. Behav. 131, 107187.
TheGuardian, 2023. Cruise robotaxi service hid severity of accident, California officials claim. Retrieved from website: https://www.theguardian.com/business/2023/dec/04/california-cruise-robotaxi-san-francisco-accident-severity on 24 December 2023.
The Verge, 2023. Mercedes-Benz is the first to bring Level 3 automated driving to the US. Retrieved from website: https://www.theverge.com/2023/1/27/23572942/mercedes-drive-pilot-level-3-approved-nevada on 24 December 2023.
Tyagi, A. K., & Aswathy, S. U. (2021). Autonomous Intelligent Vehicles (AIV): Research statements, open issues, challenges and road for future. International Journal of Intelligent Networks, 2, 83-102.
UN (2018). Road Safety Strategy. Retrieved from website: https://www.un.org/sites/un2.un.org/files/2020/09/road_safety_strategy_booklet.pdf on 23 Dec 2023.
WHO. (2023). Road traffic injuries. Retrieved from website: https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries on 24 December 2023.
Wu, J., Liao, H., Wang, J. W., & Chen, T. (2019). The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 37-46.
Xu, Z. Zhang, K.F., Min, H. Wang, Z., Zhao, X. & Liu, P. (2018). What drives people to accept automated vehicles? Findings from a field experiment. Transportation Research Part C, 95, 320–334. https://doi.org/10.1016/j.trc.2018.07.024
Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R., & Zhang, W. (2019). The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation research part C: emerging technologies, 98, 207–220.