PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Steering into the future: public perceptions and acceptance of autonomous buses

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Kierowanie w przyszłość: postrzeganie i akceptacja społeczna autonomicznych autobusów
Języki publikacji
EN
Abstrakty
EN
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.
PL
Celem przeprowadzonych badań była analiza społecznych uwarunkowań wdrożenia autonomicznych auto-busów, ze szczególnym uwzględnieniem postrzeganych korzyści, bezpieczeństwa i komfortu. Przeprowadzone badania miały również na celu weryfikację na ile analizowane czynniki różnią się w zależności od wielkości miast i stosowanych rozwiązań w zakresie mobilności miejskiej. Badania ankietowe zostały przeprowadzone w trzech polskich miastach (Łomża, Warszawa, Wrocław), na próbie 1160 respondentów. Do analizy zależności między postrzeganymi korzyściami, bezpieczeństwem, komfortem a przyszłymi intencjami korzystania z autonomicznych autobusów wykorzystano modelowanie równań strukturalnych (SEM). Wyniki wskazują, że bezpieczeństwo i komfort mają pozytywny wpływ na przyszłe intencje w zakresie korzystania z autonomicznych autobusów. Jednocześnie wpływ postrzeganych korzyści różni się w zależności od miasta, co sugeruje, że warunki mobilności miejskiej kształtują społeczną akceptację analizowanej technologii.
Rocznik
Tom
Strony
art. no. 1140
Opis fizyczny
Bibliogr. 94 poz., rys., tab.
Twórcy
autor
  • Białystok University of Technology, Wiejska Street 45A, 15-351 Bialystok, Poland
  • Białystok University of Technology
  • Białystok University of Technology
  • Instituto Politécnico de Viana do Castelo, Portugal
Bibliografia
  • 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
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-98d41306-55c9-4c8d-a7da-268e57752ec6
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.