Abstract
This study examines the social factors influencing the acceptance of autonomous buses, with a focus on perceived benefits, safety, and comfort. It also explores whether these factors differ among residents of cities with varying sizes and urban mobility solutions. A survey was conducted in three Polish cities, collecting data from 1,160 respondents. Structural Equation Modelling (SEM) was used to analyse relationships between perceived benefits, safety, comfort, and future intentions to use autonomous buses. Results indicate that safety and comfort positively influence future intentions to use autonomous buses. However, the effect of perceived benefits varies across cities, suggesting that urban mobility conditions shape public acceptance. The study focuses on Polish cities, which may limit generalizability. Future research should examine other geographical contexts. Findings provide insights for policymakers and manufacturers on enhancing public trust and promoting autonomous bus adoption. Improving public awareness and addressing safety concerns may increase societal acceptance of autonomous mobility. The study uniquely assesses how city characteristics influence social acceptance of autonomous buses.
References
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. https://doi.org/10.1016/J.TRF.2019.01.009
Acheampong, R., Cugurullo, F., Guériau, 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. https://doi.org/10.1016/J.CITIES.2021.103134
Adnan, N. (2024). Exploring the future: A meta-analysis of autonomous vehicle adoption and its impact on urban life and the healthcare sector. Transportation Research Interdisciplinary Perspectives, 26, 101110. https://doi.org/10.1016/j.trip.2024.101110
Ahmed, M., Iqbal, R., Amin, S., Alhabshneh, O., & Garba, A. (2022). Autonomous Vehicle and its Adoption: Challenges, Opportunities, and Future Implications. 2022 International Conference on Emerging Trends in Computing and Engineering Applications (ETCEA), 1-6. https://doi.org/10.1109/ETCEA57049.2022.10009804
Alatawneh, A., & Torok, A. (2025). Projecting AV sales in the EU-27 and UK: Insights from Euro emission standards and historical trends. Transport Policy, 163, 91-101. https://doi.org/10.1016/j.tranpol.2025.01.009
Alawadhi, M., Almazrouie, J., Kamil, M., & Khalil, K. A. (2020). A systematic literature review of the factors influencing the adoption of autonomous driving. International Journal of System Assurance Engineering and Management, 11(6), 1065-1082. https://doi.org/10.1007/s13198-020-00961-4
Aledhari, M., Rahouti, M., Qadir, J., Qolomany, B., Guizani, M., & Al-Fuqaha, A. (2024). Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques. IEEE Internet of Things Journal, 11(1), 378-402. https://doi.org/10.1109/JIOT.2023.3287489
Asmussen, K. E., Mondal, A., & Bhat, C. R. (2020). A socio-technical model of autonomous vehicle adoption using ranked choice stated preference data. Transportation Research Part C: Emerging Technologies, 121, 102835. https://doi.org/10.1016/J.TRC.2020.102835
Bęczkowska, S., Czerepicki, A., Grabarek, I., Kozłowski, M., & Zysk, Z. (2023). Autonomous Vehicles as Viewed by Future Users in Poland. Sustainability, 15(24), 16627. https://doi.org/10.3390/su152416627
Bilici, F., & Türkoğlu, İ. K. (2024). Autonomous Vehicle Technology and Technology Acceptance: The Role of Technological Readiness on Consumers’ Attitudes Towards Driverless Cars and Intention to Use in the Future. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 36(1), 383-407. https://doi.org/10.35234/fumbd.1385541
Böhm, P., Kocur, M., Firat, M., & Isemann, D. (2017). Which Factors Influence Attitudes Towards Using Autonomous Vehicles? Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct, 141-145. https://doi.org/10.1145/3131726.3131751
Budna, K., Rogowska, W., & Szpilko, D. (2025). Autonomiczny transport przyszłości – ocena ryzyka zagrożeń latających taksówek. Academy of Management, 9(1), 214-243. https://doi.org/10.24427/az-2025-0012
Campisi, T., Severino, A., Al‐rashid, M. A., & Pau, G. (2021). The development of the smart cities in the connected and autonomous vehicles (Cavs) era: From mobility patterns to scaling in cities. Infrastructure 6(7). https://doi.org/10.3390/infrastructures6070100
Chen, Y., Shiwakoti, N., Stasinopoulos, P., & Khan, S. K. (2022). State-of-the-Art of Factors Affecting the Adoption of Automated Vehicles. Sustainability, 14(11), 6697. https://doi.org/10.3390/su14116697
Chen, Y., Shiwakoti, N., Stasinopoulos, P., Khan, S. K., & Aghabayk, K. (2024). Exploring the association between socio-demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia. IET Intelligent Transport Systems, 18(1), 154-172. https://doi.org/10.1049/itr2.12441
Cugurullo, F., Acheampong, R., Dusparic, I., & Guériau, M. (2020). The transition to autonomous cars, the redesign of cities and the future of urban sustainability. Urban Geography, 42, 833-859. https://doi.org/10.1080/02723638.2020.1746096
De Francesco, C., Centorame, L., Toscano, G., & Duca, D. (2025). Opportunities, Technological Challenges and Monitoring Approaches in Agrivoltaic Systems for Sustainable Management. Sustainability, 17(2), 634. https://doi.org/10.3390/su17020634
Dianin, A., Gidam, M., Ravazzoli, E., Stawinoga, A. E., & Hauger, G. (2024). Individual accessibility impacts of public transport automation on (groups of) rural dwellers. Journal of Public Transportation, 26, 100098. https://doi.org/10.1016/j.jpubtr.2024.100098
Ding, Y., Li, R., Wang, X., & Schmid, J. (2022). Heterogeneity of autonomous vehicle adoption behavior due to peer effects and prior-AV knowledge. Transportation, 49(6), 1837-1860. https://doi.org/10.1007/s11116-021-10229-w
dos Santos, P. M., & Cirillo, M. Â. (2023). Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics - Simulation and Computation, 52(4), 1639-1650. https://doi.org/10.1080/03610918.2021.1888122
Duarte, F., & Ratti, C. (2018). The Impact of Autonomous Vehicles on Cities: A Review. Journal of Urban Technology, 25, 18-23. https://doi.org/10.1080/10630732.2018.1493883
Dudziak, A., Stoma, M., Kuranc, A., & Caban, J. (2021). Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland. Energies, 14(18), 5778. https://doi.org/10.3390/en14185778
Ejdys, J. (2017). Determinanty zaufania do technologii. Przegląd Organizacji, 935(12), 20-27. https://doi.org/10.33141/po.2017.12.03 (in Polish).
Ejdys, J., & Gulc, A. (2022). Factors Influencing the intention to use Assistive Technologies by older adults, Human Technology, 18(1), 6-28. https://doi.org/10.14254/1795-6889.2022.18-1.2
Ejdys, J. (2020). Trust-Based Determinants of Future Intention to Use Technology, Foresight-Russia, 14(1), 60-68. https://doi.org/10.17323/2500-2597.2020.1.60.68
European Commission. (2018). Communication from The Commission to The European Parliament, The Council, The European Economic and Social Committee, The Committee of The Regions, On the road to automated mobility: An EU strategy for mobility of the future, Pub. L. No. 52018DC0283. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:52018DC0283
Foroughi, B., Nhan, P. V., Iranmanesh, M., Ghobakhloo, M., Nilashi, M., & Yadegaridehkordi, E. (2023). Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS. Journal of Retailing and Consumer Services, 70, 103158. https://doi.org/10.1016/j.jretconser.2022.103158
Freemark, Y., Hudson, A., & Zhao, J. (2019). Are Cities Prepared for Autonomous Vehicles?: Planning for Technological Change by U.S. Local Governments. Journal of the American Planning Association, 85(2), 133-151. https://doi.org/10.1080/01944363.2019.1603760
Glimm, F., & Fabus, M. (2024). Determinants of the Willingness to Use Autonomous Mobility as a Service in Germany. Future Transportation, 4(3), 746-764. https://doi.org/10.3390/futuretransp4030035
Golbabaei, F., Yigitcanlar, T., Paz, A., & Bunker, J. (2020). Individual predictors of autonomous vehicle public acceptance and intention to use: A systematic review of the literature. In Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 1–27. https://doi.org/10.3390/joitmc6040106
Gulc, A., & Budna, K. (2024). Classification of Smart and Sustainable Urban Mobility. Energies, 17(9), 2148. https://doi.org/10.3390/en17092148
Gulc, A. (2024). Mapping Smart and Sustainable Mobility Innovations in Modern Cities. Proceedings of the Future Technologies Conference (FTC) 2024, Vol. 2, 372-379, Lecture Notes in Networks and Systems, vol. 1155, Cham, Springer. DOI:10.1007/978-3-031-73122-8_24
Gulc, A., Budna, K. (2023). Czynniki determinujące wdrożenie rozwiązań z zakresu zrównoważonej i inteligentnej mobilności miejskiej. Przegląd Organizacji, 3, 24-36. DOI: 10.33141/po.2023.03.03
Guo, Y., Souders, D., Labi, S., Peeta, S., Benedyk, I., & Li, Y. (2021). Paving the way for autonomous Vehicles: Understanding autonomous vehicle adoption and vehicle fuel choice under user heterogeneity. Transportation Research Part A: Policy and Practice, 154, 364-398. https://doi.org/10.1016/j.tra.2021.10.018
Hafeez, F., Mas’ud, A. A., Al-Shammari, S., Sheikh, U. U., Alanazi, M. A., Hamid, M., & Azhar, A. (2024). Autonomous Vehicles Perception, Acceptance, and Future Prospects in the GCC: An Analysis Using the UTAUT-Based Model. World Electric Vehicle Journal, 15(5), 186. https://doi.org/10.3390/wevj15050186
Hendra, H., Fadhilah, N., Yani, I., Violin, V., Apramilda, R., & Kushariyadi, K. (2025). The Role of Marketing Campaigns Through Social Media and Perceived Usefulness on Purchase Intention of Electric Vehicle. International Journal of Engineering, Science and Information Technology, 5(2), 18-22. https://doi.org/10.52088/ijesty.v5i2.766
Hossain, N., Rahman, M. M., Ramasamy, D., Kadirgama, K., & Noor, M. M. (2024). Advancements, challenges, and implications for navigating the autonomous vehicle revolution. Journal of Mechanical Engineering and Sciences, 18(2), 10077-10093. http://dx.doi.org/10.15282/jmes.18.2.2024.9.0796
Huang, T. (2023). Psychological factors affecting potential users’ intention to use autonomous vehicles. PLoS ONE, 18(3): e0282915. https://doi.org/10.1371/journal.pone.0282915
Iacobucci, D. (2010). Structural equations modeling: Fit Indices, sample size, and advanced topics. Journal of Consumer Psychology, 20(1), 90-98. https://doi.org/10.1016/j.jcps.2009.09.003
Jing, P., Huang, H., Ran, B., Zhan, F., & 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. https://doi.org/10.3390/su11041155
Jing, P., Xu, G., Chen, Y., Shi, Y., & Zhan, F. (2020). The determinants behind the acceptance of autonomous vehicles: A systematic review. Sustainability, 12(5), 1719. https://doi.org/10.3390/su12051719
Kaye, S. A., Somoray, K., Rodwell, D., & Lewis, I. (2021). Users’ acceptance of private automated vehicles: A systematic review and meta-analysis. Journal of Safety Research, 79, 352-367. https://doi.org/10.1016/j.jsr.2021.10.002
Keszey, T. (2020). Behavioural intention to use autonomous vehicles: Systematic review and empirical extension. Transportation Research Part C: Emerging Technologies, 119. https://doi.org/10.1016/j.trc.2020.102732
Kettles, N., & Van Belle, J.-P. (2019). Investigation into the Antecedents of Autonomous Car Acceptance using an Enhanced UTAUT Model. 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (IcABCD), 1-6. https://doi.org/10.1109/ICABCD.2019.8851011
Li, D., Huang, Y., & Qian, L. (2022). Potential adoption of robotaxi service: The roles of perceived benefits to multiple stakeholders and environmental awareness. Transport Policy, 126, 120-135. https://doi.org/10.1016/j.tranpol.2022.07.004
Li, G., Liang, Y., Wang, H., Chen, J., & Chang, X. (2022). Factors Influencing Users’ Willingness to Adopt Connected and Autonomous Vehicles: Net and Configurational Effects Analysis Using PLS-SEM and FsQCA. Journal of Advanced Transportation. https://doi.org/10.1155/2022/7489897
Li, J., Rombaut, E., & Vanhaverbeke, L. (2021). A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models. Computers, Environment and Urban Systems, 89, 101686. https://doi.org/10.1016/j.compenvurbsys.2021.101686
Li, Z., Cheng, K. W. E., & Chan, K. K. W. (2022). An Overview of Factors Influencing the Mass Adoption of Self-Driving Vehicles. 2022 IEEE 9th International Conference on Power Electronics Systems and Applications (PESA), 1-5. https://doi.org/10.1109/PESA55501.2022.10038422
Meidute‐Kavaliauskiene, I., Yıldız, B., Çiğdem, Ş., & Činčikaitė, R. (2021). Do people prefer cars that people don’t drive? A survey study on autonomous vehicles. Energies, 14(16), 4795. https://doi.org/10.3390/en14164795
Montoro, L., Useche, S. A., Alonso, F., Lijarcio, I., Bosó-Seguí, P., & Martí-Belda, A. (2019). Perceived safety and attributed value as predictors of the intention to use autonomous vehicles: A national study with Spanish drivers. Safety Science, 120, 865-876. https://doi.org/10.1016/j.ssci.2019.07.041
Netemeyer, R., Bearden, W., & Sharma, S. (2003). Scaling Procedures. SAGE Publications, Inc. https://doi.org/10.4135/9781412985772
Odile-Bernez, M. (2014). Comfort, the Acceptable Face of Luxury: An Eighteenth-Century Cultural Etymology. Journal for Early Modern Cultural Studies, 14(2), 3-21. https://doi.org/10.1353/jem.2014.0015
Orsot-Dessi, P., Ashta, A., Mor, S. (2023). The determinants of the intention to use autonomous vehicles. African Journal of Science, Technology, Innovation and Development, 15(5), 650–660. https://doi.org/10.1080/20421338.2023.2174754
Othman, K. (2021). Public acceptance and perception of autonomous vehicles: a comprehensive review. AI and Ethics, 1(3), 355-387. https://doi.org/10.1007/s43681-021-00041-8
Paddeu, D., Parkhurst, G., & Shergold, I. (2020). Passenger comfort and trust on first-time use of a shared autonomous shuttle vehicle. Transportation Research Part C: Emerging Technologies, 115, 102604. https://doi.org/10.1016/j.trc.2020.02.026
Panasewicz, K. & Jorge, A.A. (2023). Perspective of future use of autonomous robotaxes in cities. Academy of Management, 7(3), 213-232. DOI: 10.24427/az-2023-0042
Pang, S. M., Ho, J. S., Tan, B. C., Lau, T. C., & Khan, N. (2024). Navigating the Road to Acceptance: Unveiling Psychological and Socio-Demographic Influences on Autonomous Vehicle Adoption in Malaysia. Sustainability, 16(18), 8262. https://doi.org/10.3390/su16188262
Paschalidis, E., Hajiseyedjavadi, F., Wei, C., Solernou, A., Hamish Jamson, A., Merat, N., Romano, R., & Boer, E. R. (2020). Deriving metrics of driving comfort for autonomous vehicles: A dynamic latent variable model of speed choice. Analytic Methods in Accident Research, 28, 100133. https://doi.org/10.1016/J.AMAR.2020.100133
Pakusch, C., Stevens, G., Boden, A., & Bossauer, P. (2018). Unintended effects of autonomous driving: A study on mobility preferences in the future. Sustainability 10(7). https://doi.org/10.3390/su10072404
Peng, C., Horn, S., Madigan, R., Marberger, C., Lee, J. D., Krems, J., Beggiato, M., Romano, R., Wei, C., Wooldridge, E., Happee, R., Hagenzieker, M., & Merat, N. (2024). Conceptualising user comfort in automated driving: Findings from an expert group workshop. Transportation Research Interdisciplinary Perspectives, 24, 101070. https://doi.org/10.1016/j.trip.2024.101070
Pimenta, A. R., Kamruzzaman, M., & Currie, G. (2023). Long-term effects of autonomous vehicles on the built environment: a systematic scoping review towards conceptual frameworks. Transport Reviews, 43(6), 1083-1117. https://doi.org/10.1080/01441647.2023.2189325
Pinto, S., Caldeira, S., Martins, J. C., & Rodgers, B. (2017). Evolutionary analysis of the concept of comfort. Holistic Nursing Practice, 31(4), 243-252. https://doi.org/10.1097/HNP.0000000000000217
Prasetio, E. A., & Nurliyana, C. (2023). Evaluating perceived safety of autonomous vehicle: The influence of privacy and cybersecurity to cognitive and emotional safety. IATSS Research, 47(2), 160-170. https://doi.org/10.1016/J.IATSSR.2023.06.001
Quinones, M., Romero, J., Schmitz, A., & Díaz-Martín, A. M. (2024). What factors determine the intention to use and recommend public autonomous shuttles in a real-life setting? European Journal of Management and Business Economics. https://doi.org/10.1108/EJMBE-07-2023-0224
Rahman, M. M., & Thill, J. C. (2023a). What Drives People’s Willingness to Adopt Autonomous Vehicles? A Review of Internal and External Factors. Sustainability, 15(15), 11541. https://doi.org/10.3390/su151511541
Rahman, Md. M., & Thill, J. (2023b). Impacts of Connected and Autonomous Vehicles on Urban Transportation and Environment: A Comprehensive Review. Sustainable Cities and Society, 96, 104649. https://doi.org/10.1016/j.scs.2023.104649
Raj, A., Kumar, J. A., & Bansal, P. (2020). A multicriteria decision making approach to study barriers to the adoption of autonomous vehicles. Transportation Research Part A: Policy and Practice, 133, 122-137. https://doi.org/10.1016/J.TRA.2020.01.013
Rezaei, A., Cao, M., Liu, Q., & De Vos, J. (2023). Synthesising the Existing Literature on the Market Acceptance of Autonomous Vehicles and the External Underlying Factors. Journal of Advanced Transportation, (1), 6065060. https://doi.org/10.1155/2023/6065060
Sadeghpour, M., & İnce, E. B. (2024). Early Perspectives: Exploring the Potential Impacts of Autonomous Vehicles Through the Lens of Urban Mobility and Urban Form. Periodica Polytechnica Transportation Engineering, 52(3), 213-228. https://doi.org/10.3311/pptr.23576
Sciaccaluga, M., & Delponte, I. (2020). Investigation on human factors and key aspects involved in Autonomous Vehicles -AVs- acceptance: new instruments and perspectives. Transportation Research Procedia, 45, 708-715. https://doi.org/10.1016/J.TRPRO.2020.02.107
Seuwou, P., Chrysoulas, C., Banissi, E., & Ubakanma, G. (2020). Measuring consumer behavioural intention to accept technology: Towards autonomous vehicles technology acceptance model (AVTAM). Advances in Intelligent Systems and Computing, 1159, 507–516. https://doi.org/10.1007/978-3-030-45688-7_51
Shen, Y., & Deng, G. (2022). Examination of the Influential Factors for Intention to Use Shared Autonomous Vehicles Based on Discrete Choice Models. 2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE), 308-313. https://doi.org/10.1109/ICITE56321.2022.10101459
Sitinjak, C., Simic, V., & Pamucar, D. (2024). Psychological factors shaping public acceptance of the adoption of autonomous vehicles in Indonesia. Journal of Transport & Health, 34, 101726. https://doi.org/10.1016/J.JTH.2023.101726
Sutarto, A. P., Ansori, N., Widyanti, A., Trapsilawati, F., Rifai, A. P., Erlangga, R., & Woodman, R. (2023). Driving the Future: Using TAM and UTAUT to Understand Public Acceptance of Fully Autonomous Vehicles. 2023 10th International Conference on ICT for Smart Society (ICISS), 1-8. https://doi.org/10.1109/ICISS59129.2023.10291794
Szpilko, D., Budna, K., Drmeyan, H., & Remiszewska A. (2023). Sustainable and smart Mobility – Research Directions. A systematic literature review. Economics and Environment, 3(86), 31-61. https://doi.org/10.34659/eis.2023.86.3.584
Tapia, J. L., Sánchez-Borda, D., Iniesta, C., Badea, F., & Duñabeitia, J. A. (2023). Your language drives me nuts! Fostering Acceptance of Autonomous Vehicles. Research Square [Preprint]. https://doi.org/10.21203/rs.3.rs-3404499/v1
Tapia, J. L., Sánchez-Borda, D., Iniesta, C., Badea, F., & Duñabeitia, J. A. (2024). Shifting Perceptions and Emotional Responses to Autonomous Vehicles Using Simulated Experiences. Behavioral Sciences, 14(1), 29. https://doi.org/10.3390/bs14010029
Thapa, D., Gabrhel, V., & Mishra, S. (2021). What are the factors determining user intentions to use AV while impaired? Transportation Research Part F: Traffic Psychology and Behaviour, 82, 238-255. https://doi.org/10.1016/j.trf.2021.08.008
Tomaszewska, E.J. & Florea, A. (2018). Urban smart mobility in the scientific literature — bibliometric analysis. Engineering Management in Production and Services, 10(2), 41-56. https://doi.org/10.2478/emj-2018-0010
Tripathi, V. (2024). Advancing Autonomous Vehicle Regulations in India: A Comparative Analysis and Global Engineering Insights. Indian Journal of Transport Engineering, 4(2), 1-11. https://doi.org/10.54105/ijte.B1909.04021124
Uzzaman, A., & Muhammad, W. (2024). A Comprehensive Review of Environmental and Economic Impacts of Autonomous Vehicles. Control Systems and Optimization Letters, 2(3), 303-309. https://doi.org/10.59247/csol.v2i3.131
Waltermann, J., & Henkel, S. (2025). The human element in autonomous driving: Motivations, expectations, and behavioral change. Technological Forecasting and Social Change, 213, 123992. https://doi.org/10.1016/j.techfore.2025.123992
Wang, G. (2020). Research on the Fleet Size of Shared Autonomous Vehicles in the Future City: An Example in Shanghai. CICTP 2020: Advanced Transportation Technologies and Development-Enhancing Connections - Proceedings of the 20th COTA International Conference of Transportation Professionals. https://doi.org/10.1061/9780784482933.389
Wang, S., Li, Z., Wang, Y., & Aaron Wyatt, D. (2022). How do age and gender influence the acceptance of automated vehicles? – Revealing the hidden mediating effects from the built environment and personal factors. Transportation Research Part A: Policy and Practice, 165, 376-394. https://doi.org/10.1016/J.TRA.2022.09.015
Widyanti, A., Erlangga, R., Sutarto, A. P., Trapsilawati, F., Ansori, N., Woodman, R., Pawitra, T. A., & Rifai, A. P. (2024). Driving forward together: The common intention of Indonesians in different residential areas to use autonomous vehicles. Transportation Research Interdisciplinary Perspectives, 24, 101049. https://doi.org/https://doi.org/10.1016/j.trip.2024.101049
Winkowska, J., Szpilko, D. & Pejić, S. (2019). Smart city concept in the light of the literature review. Engineering Management in Production and Services, 11(2), 70-86. https://doi.org/10.2478/emj-2019-0012
Wishart, D., Weaver, S., & Apuli, A. (2023). Autonomous vehicles: What are your intentions? Transportation Research Part F: Traffic Psychology and Behaviour, 99, 450-459. https://doi.org/10.1016/j.trf.2023.08.011
Xing, Y., Li, L., Sheng, X., Zhou, H., & Han, X. (2025). Understanding public perceptions of autonomous vehicles: A structural model to urban-rural differences and psychological factors. Transport Policy, 165, 70-84. https://doi.org/10.1016/j.tranpol.2025.02.016
Yuan, M., & Yu, R. (2024). Exploring the influential factors of initial trust in autonomous cars. Ergonomics, 1-19. https://doi.org/10.1080/00140139.2024.2439915
Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2021). Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory. Technology Analysis and Strategic Management, 33(5), 505-519. https://doi.org/10.1080/09537325.2020.1826423
Yuen, K. F., Huyen, D. T. K., Wang, X., & Qi, G. (2020). Factors influencing the adoption of shared autonomous vehicles. International Journal of Environmental Research and Public Health, 17(13), 1-16. https://doi.org/10.3390/ijerph17134868
Zhang, Y., & Kamargianni, M. (2023). A review on the factors influencing the adoption of new mobility technologies and services: autonomous vehicle, drone, micromobility and mobility as a service. Transport Reviews, 43(3), 407-429. https://doi.org/10.1080/01441647.2022.2119297
Zhao, X., & Chidambareswaran, T. (2023). Autonomous Mobile Robots in Manufacturing Operations. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 1-7. https://doi.org/10.1109/CASE56687.2023.10260631
Zilahy, D. (2023). Under-Estimated Factors in the Adoption of Self-Driving Cars. Interdisciplinary Description of Complex Systems, 21(2), 199-205. https://doi.org/10.7906/indecs.21.2.9

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