The Adoption of Autonomous Vehicles: A Socio-Technical Transition Perspective
This paper reviews the autonomous vehicle (AV) trials around the world and proposes a socio-technical transition (multi-level perspective) approach for facilitating the adoption of AVs in countries. Built on a comprehensive literature review and a review of ongoing AV trials and tests around the world, this paper utilizes both theoretical and empirical approaches in understanding the dynamics of AV adoption. Three AV transition models (government support, industry push and public transport oriented) are proposed to help countries introduce and adopt AVs as part of their transport systems.
Keywords: Autonomous Vehicles, Multi-Level Perspective, Socio-Technical Transition
Jel Classification: C46
Canıtez, F. (2021). The Adoption of Autonomous Vehicles: A Socio-Technical Transition Perspective. Alphanumeric Journal, 9(2), 143-162. http://dx.doi.org/10.17093/alphanumeric.847241
- AA (2021). Anadolu Ajansi Sirket Haberleri: https://www.aa.com.tr/tr/sirkethaberleri/otomotiv/turkiyenin-surucusuz-otobusu-testleri-basariyla-gecti/662238
- Acheampong, R. A., Cugurullo, F., Gueriau, M., & Dusparic, I. (2021). Can autonomous vehicles enable sustainable mobility in future cities? Insights and policy challenges from user preferences over different urban transport options. Cities, 112, 103134.
- Anderson, K., Shackley, S., Mander, S., & Bows, A. (2005). Decarbonising the UK: Energy for a climate conscious future. Tyndall Centre, Manchester.
- 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: Emerging Technologies, 67, 1-14.
- Bergman, N., Haxeltine, A., Whitmarsh, L., Köhler, J., Schilperoord, M., &Rotmans, J. (2008). Modelling socio-technical transition patterns and pathways. Journal of artificial societies and social simulation, 11(3), 7.
- Berrada, J., & Leurent, F. (2017). Modeling Transportation Systems involving Autonomous Vehicles: A State of the Art. Transportation Research Procedia, 27, 215-221.
- Bloomberg (2017). Taming the Autonomous Vehicle, A Primer for Cities. https://assets.bbhub.io/dotorg/sites/2/2017/05/TamingtheAutonomousVehicleSpreadsPDF.pdf
- Bösch, P. M., Becker, F., Becker, H., &Axhausen, K. W. (2017). Cost-based analysis of autonomous mobility services. Transport Policy.
- Brown, A., Gonder, J., & Repac, B. (2014). An analysis of possible energy impacts of automated vehicle. In Road vehicle automation (pp. 137-153). Springer, Cham.
- Bulkeley, H., Broto, V. C., Hodson, M., & Marvin, S. (Eds.). (2010). Cities and low carbon transitions. Routledge.
- Burns, L. D. (2013). Sustainable mobility: a vision of our transport future. Nature, 497(7448), 181.
- Canitez, F. (2019). Pathways to sustainable urban mobility in developing megacities: A socio-technical transition perspective. Technological Forecasting and Social Change, 141, 319-329.
- Carayannis, E. G., Barth, T. D., & Campbell, D. F. (2012). The Quintuple Helix innovation model: global warming as a challenge and driver for innovation. Journal of Innovation and Entrepreneurship, 1(1), 2.
- Cavallini, S., Soldi, R., Friedl, J., & Volpe, M. (2016). Using the quadruple helix approach to accelerate the transfer of research and innovation results to regional growth. Consortium Progress Consulting Srl & Fondazione FORMIT. Available online: http://bit. ly/2zgInpZ (accessed on 26 April 2018).
- CCAV (2018). Centre for Connected and Autonomous Vehicles. https://www.gov.uk/government/organisations/centre-for-connected-and-autonomous-vehicles/about
- Chen, T. D., Kockelman, K. M., & Hanna, J. P. (2016). Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions. Transportation Research Part A: Policy and Practice, 94, 243-254.
- Dodgson, M. (2018). Technological collaboration in industry: strategy, policy and internationalization in innovation (Vol. 11). Routledge.
- EAVS (2018). European Added Value Assessment: A Common European approach to liability rules and insurance for connected and autonomous vehicles. https://www.europarl.europa.eu/RegData/etudes/STUD/2018/615635/EPRS_STU(2018)615635_EN.pdf
- Elzen, B., Geels, F. W., & Green, K. (Eds.). (2004). System innovation and the transition to sustainability: theory, evidence and policy. Edward Elgar Publishing.
- Etzkowitz, H., & Zhou, C. (2006). Triple Helix twins: innovation and sustainability. Science and public policy, 33(1), 77-83.
- Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167-181.
- Fagnant, D. J., & Kockelman, K. M. (2014). The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transportation Research Part C: Emerging Technologies, 40, 1-13.
- Faisal, A., Kamruzzaman, M., Yigitcanlar, T., & Currie, G. (2019). Understanding autonomous vehicles. Journal of transport and land use, 12(1), 45-72.
- Favarò, F., Eurich, S., & Nader, N. (2018). Autonomous vehicles’ disengagements: Trends, triggers, and regulatory limitations. Accident Analysis & Prevention, 110, 136-14
- Fernandes, P., & Nunes, U. (2010, September). Platooning of autonomous vehicles with intervehicle communications in SUMO traffic simulator. In Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on (pp. 1313-1318). IEEE.
- Fleetwood, J. (2017). Public health, ethics, and autonomous vehicles. American journal of public health, 107(4), 532-537.
- Fraedrich, E., & Lenz, B. (2014). Automated Driving–Individual and Societal Aspects Entering the Debate. In Transportation Research Record: Journal of the Transportation Research Board (TRR). 93nd Annual Meeting Transportation Research Board (TRB) (Vol. 12, p. 16).
- GATEway (2018). https://gateway-project.org.uk/about/
- Geels, F. W. (2002). Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study. Research policy, 31(8-9), 1257-1274.
- Geels, F. W. (2004). From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory. Research policy, 33(6-7), 897-920.
- Geels, F. W. (2005). The dynamics of transitions in socio-technical systems: a multi-level analysis of the transition pathway from horse-drawn carriages to automobiles (1860–1930). Technology analysis & strategic management, 17(4), 445-476.
- Geels, F. W. (2012). A socio-technical analysis of low-carbon transitions: introducing the multi-level perspective into transport studies. Journal of transport geography, 24, 471-482.
- Geels, F. W. (2017). Disruption and low-carbon system transformation: Progress and new challenges in socio-technical transitions research and the Multi-Level Perspective. Energy Research & Social Science.
- Geels, F. W., & Schot, J. (2007). Typology of sociotechnical transition pathways. Research policy, 36(3), 399-417.
- German AV Bill (2017). https://www.bgbl.de/xaver/bgbl/start.xav?startbk=Bundesanzeiger_BGBl#__bgbl__%2F%2F*%5B%40attr_id%3D%27bgbl117s1648.pdf%27%5D__1521401307129
- Guardian (2018). Video released of Uber self-driving crash that killed woman in Arizona: https://www.theguardian.com/technology/2018/mar/22/video-released-of-uber-self-driving-crash-that-killed-woman-in-arizona
- Hodson, M., & Marvin, S. (2010). Can cities shape socio-technical transitions and how would we know if they were?. Research policy, 39(4), 477-485.
- Howard, D., & Dai, D. (2014). Public perceptions of self-driving cars: The case of Berkeley, California. In Transportation Research Board 93rd Annual Meeting (Vol. 14, No. 4502).
- Huesemann, M., & Huesemann, J. (2011). Techno-fix: why technology won't save us or the environment. New Society Publishers.
- Kalra, N., & Groves, D. G. (2017). The Enemy of Good: Estimating the Cost of Waiting for Nearly Perfect Automated Vehicles. Rand Corporation.
- Kato, S., Takeuchi, E., Ishiguro, Y., Ninomiya, Y., Takeda, K., & Hamada, T. (2015). An open approach to autonomous vehicles. IEEE Micro, 35(6), 60-68.
- Kemp, R., & van Lente, H. (2011). The dual challenge of sustainability transitions. Environmental Innovation and Societal Transitions, 1(1), 121-124.
- Kemp, R., Schot, J., & Hoogma, R. (1998). Regime shifts to sustainability through processes of niche formation: the approach of strategic niche management. Technology analysis & strategic management, 10(2), 175-198.
- Kockelman, K., Loftus-Otway, L., Stewart, D., Nichols, A., Wagner, W., Li, J., & Liu, J. (2016). Best practices guidebook for preparing Texas for connected and automated vehicles (No. 0-6849-P1).
- Kompella, L. (2017). E-Governance systems as socio-technical transitions using multi-level perspective with case studies. Technological Forecasting and Social Change, 123, 80-94.
- Krueger, R., Rashidi, T. H., & Rose, J. M. (2016). Preferences for shared autonomous vehicles. Transportation research part C: emerging technologies, 69, 343-355.
- Lee, J., Lee, D., Park, Y., Lee, S., & Ha, T. (2019). Autonomous vehicles can be shared, but a feeling of ownership is important: Examination of the influential factors for intention to use autonomous vehicles. Transportation Research Part C: Emerging Technologies, 107, 411-422.
- Litman, T. (2017). Autonomous vehicle implementation predictions. Victoria Transport Policy Institute.
- Liu, J., Kockelman, K. M., Boesch, P. M., &Ciari, F. (2017). Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation. Transportation, 44(6), 1261-1278.
- Lutin, J. M., Kornhauser, A. L., & MASCE, E. L. L. (2013). The revolutionary development of self-driving vehicles and implications for the transportation engineering profession. Institute of Transportation Engineers. ITE Journal, 83(7), 28.
- Marletto, G. (2014). Car and the city: Socio-technical transition pathways to 2030. Technological Forecasting and Social Change, 87, 164-178.
- Masoud, N., & Jayakrishnan, R. (2017). Autonomous or driver-less vehicles: Implementation strategies and operational concerns. Transportation research part E: logistics and transportation review, 108, 179-194.
- Mersky, A. C., & Samaras, C. (2016). Fuel economy testing of autonomous vehicles. Transportation Research Part C: Emerging Technologies, 65, 31-48.
- Meyer, J., Becker, H., Bösch, P. M., &Axhausen, K. W. (2017). Autonomous vehicles: The next jump in accessibilities?. Research in Transportation Economics, 62, 80-91.
- NCSL (2018). National Conference of State Legislatures: http://www.ncsl.org/research/transportation/autonomous-vehicles-self-driving-vehicles-enacted-legislation.aspx
- Nykvist, B., & Whitmarsh, L. (2008). A multi-level analysis of sustainable mobility transitions: Niche development in the UK and Sweden. Technological forecasting and social change, 75(9), 1373-1387.
- OTAM (2020). Istanbul Technical University Automotive Technologies Research and Development Center.https://otam.com.tr/tosb-otam-ve-itu-meamdan-otonom-araclara-yonelik-buyuk-isbirligi/
- Rip, A., & Kemp, R. (1998). Technological change. Human choice and climate change, 2, 327-399.
- Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.
- Rojas-Rueda, D., Nieuwenhuijsen, M. J., Khreis, H., & Frumkin, H. (2020). Autonomous vehicles and public health. Annual review of public health, 41, 329-345.
- Ross, C., & Guhathakurta, S. (2017). Autonomous Vehicles and Energy Impacts: A Scenario Analysis. Energy Procedia, 143, 47-52.
- SAE (2014). Society of Automotive Engineers. On-Road Automated Vehicle Standards Committee, 2014. Taxonomy and Definitions for Terms Related to On-road Motor Vehicle Automated Driving Systems.
- Saeed, T. U., Burris, M. W., Labi, S., & Sinha, K. C. (2020). An empirical discourse on forecasting the use of autonomous vehicles using consumers’ preferences. Technological Forecasting and Social Change, 158, 120130.
- Santana, E. F. Z., Covas, G., Duarte, F., Santi, P., Ratti, C., & Kon, F. (2021). Transitioning to a driverless city: Evaluating a hybrid system for autonomous and non-autonomous vehicles. Simulation Modelling Practice and Theory, 107, 102210.
- Smith, A. (2007). Translating sustainabilities between green niches and socio-technical regimes. Technology analysis & strategic management, 19(4), 427-450.
- Smith, A., Stirling, A., & Berkhout, F. (2005). The governance of sustainable socio-technical transitions. Research policy, 34(10), 1491-1510.
- Smith, A., Voß, J. P., & Grin, J. (2010). Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges. Research policy, 39(4), 435-448.
- Thomopoulos, N., & Givoni, M. (2015). The autonomous car—a blessing or a curse for the future of low carbon mobility? An exploration of likely vs. desirable outcomes. European Journal of Futures Research, 3(1), 1-14.
- Todorovic, M., Simic, M., & Kumar, A. (2017). Managing Transition to Electrical and Autonomous Vehicles. Procedia Computer Science, 112, 2335-2344.
- UK (2018). UK Government. https://www.gov.uk/government/news/government-to-review-driving-laws-in-preparation-for-self-driving-vehicles
- UK Smart Mobility Living Lab (2018). http://uklivinglab.trl.co.uk/trl-living-lab-brochure.pdf
- Van der Brugge, R., Rotmans, J., & Loorbach, D. (2005). The transition in Dutch water management. Regional environmental change, 5(4), 164-176.
- Van Driel, H., & Schot, J. (2005). Radical innovation as a multilevel process: introducing floating grain elevators in the port of Rotterdam. Technology and Culture, 46(1), 51-76.
- Verbong, G., & Geels, F. (2007). The ongoing energy transition: lessons from a socio-technical, multi-level analysis of the Dutch electricity system (1960–2004). Energy policy, 35(2), 1025-1037.
- Wadud, Z., MacKenzie, D., & Leiby, P. (2016). Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles. Transportation Research Part A: Policy and Practice, 86, 1-18.
- Wang, S., Jiang, Z., Noland, R. B., & Mondschein, A. S. (2020). Attitudes towards privately-owned and shared autonomous vehicles. Transportation research part F: traffic psychology and behaviour, 72, 297-306.
- Whitmarsh, L. (2012). How useful is the Multi-Level Perspective for transport and sustainability research?. Journal of Transport Geography, 24, 483-487.
- Whitmarsh, L., & Wietschel, M. (2008). Sustainable transport visions: what role for hydrogen and fuel cell vehicle technologies?. Energy & environment, 19(2), 207-226.
- Whitmarsh, L., Swartling, Å. G., & Jäger, J. (2009). Participation of experts and non‐experts in a sustainability assessment of mobility. Environmental Policy and Governance, 19(4), 232-250.
- Zachariah, J., Gao, J., Kornhauser, A., & Mufti, T. (2014). Uncongested mobility for all: A proposal for an area wide Autonomous taxi system in New Jersey (No. 14-2373).
- Zhao, C., Li, L., Pei, X., Li, Z., Wang, F. Y., & Wu, X. (2021). A comparative study of state-of-the-art driving strategies for autonomous vehicles. Accident Analysis & Prevention, 150, 105937
Volume 9, Issue 2, 2021
Received: Dec. 26, 2020
Accepted: July 9, 2021
Published: Dec. 31, 2021
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