Examining public acceptance of autonomous mobility
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Richardson et al. conducted an online and in-paper survey for 69 truck drivers and 17 fleet managers.
“Richardson et al. conducted an online and in paper survey for 69 truck drivers and 17 fleet managers [34].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
Sections 3.1 (Data Collection) and 3.2 (Demographics of the sample) describe this paper’s survey as an online survey of adults in Ireland, with 475 usable responses. That contradicts the attributed description of an online and paper survey of 69 truck drivers and 17 fleet managers. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIn Schoettle and Sivak's US, UK, and Australia survey, 92% were highly concerned about AV safety in poor weather and about vehicle-pedestrian interaction.
“The survey by Schoettle and Sivak in US, UK and Australia shows that 92% of the respondents are highly concerned about the safety of the AV in poor weather and about the interaction between the vehicle and pedestrians [34].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
The References identify a Schoettle and Sivak survey covering the U.S., U.K., and Australia. However, the cited paper’s discussion of AV safety (Section 4.1; page unavailable) does not report that 92% of those respondents were highly concerned about poor-weather safety or vehicle–pedestrian interaction; searches for those terms and the percentage found no such result. (LLM, conf=0.76)
Experimental — accuracy not yet measuredRichardson et al. survey: 60% highly concerned about liability.
“The survey by Richardson et al. shows that 60% of the respondents are highly concerned about the liability of the AV in case of accident [34].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
Section 4.5, “AV's Legal Liability” (page not provided), reports that 57.2% of respondents were unwilling to accept legal liability for an AV accident. That supports a broad point about reluctance over liability, but it does not show that 60% were highly concerned about liability; unwillingness to accept liability is a different measure. The cited paper is by Rezaei and Caulfield, not Richardson et al. (LLM, conf=0.82)
Experimental — accuracy not yet measuredSurveys show high levels of concern regarding vehicle security: 90.9% [34], 54% [199], 68% [37].
“Surveys showed high levels of concerns regarding security as follows:90.9% of respondents are concerned about vehicle security [34]54% of respondents are concerned about vehicle security [199]68% of respondents are concerned about vehicle security [37]”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
Section 4.1 reports concerns about autonomous-vehicle safety and security, particularly when a vehicle has no steering wheel. It does not report that 90.9%, 54%, or 68% of respondents were concerned about vehicle security, so the attributed percentages are unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSchoettle and Sivak found that males are more positive toward AV adoption than females.
“Schoettle and Sivak, illustrated that males are more positive toward AVs’ adoption [34].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
Section 4.6 reports that women were less likely than men to be interested in driving AVs, so the gender comparison is supported. But it presents this as the paper’s own finding and says it aligns with Bansal et al. (2017); the Literature Review mentions Schoettle and Sivak for willingness to pay, not for a gender difference in adoption. No page numbers are available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
In Richardson et al. survey, privacy and liability are major concerns, and 46.2% of truck drivers are concerned about loss of driving pleasure.
“Privacy and liability of AVs are the major sources of fleet managers and truck driver concerns, and a significant portion of truck drivers (46.2%) are concerned about the loss of driving pleasure.”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
Sections 4.4 (Recording Travel Data by AVs) and 4.5 (AV's Legal Liability) report privacy concerns and reluctance to accept liability among the paper’s survey respondents. They do not establish these as the major concerns of fleet managers or truck drivers, and the copy does not report that 46.2% of truck drivers feared losing driving pleasure. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPeople with higher education are more aware of AV benefits and concerns and are generally skeptical.
“Higher education people are more aware of AVs’ benefits and concerns and generally skeptical [34].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
Section 4.1 reports that few respondents believed AVs would operate more safely and securely than human drivers, supporting general skepticism. It does not establish that people with higher education are more aware of AV benefits and concerns or are more skeptical than others; searches for education and educated respondents found no such finding. (LLM, conf=0.82)
Experimental — accuracy not yet measuredDifferent surveys worldwide show high levels of concern regarding liability of AVs.
“Different other surveys all over the world and across the years show that people have high levels of concerns regarding the liability of AVs as follows:”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
In Richardson et al. survey, 44% of truck drivers are not aware of AV technology, while 90% of fleet managers have knowledge.
“Significant portion of the truck drivers (44%) are not aware of the AV technology, while 90% of fleet managers already have the knowledge about the new technology.”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
The Data Collection section describes a public survey of road users, and section 4.4 reports awareness of AV travel-data recording, not awareness of AV technology among truck drivers or fleet managers. Searches for Richardson, truck drivers, fleet managers, 44%, and 90% found no passage supporting the attributed figures. (LLM, conf=0.76)
Experimental — accuracy not yet measuredSchoettle and Sivak found that almost 60% of respondents in the US, UK, and Australia would not pay more for AVs, while only 10% would pay much more.
“Schoettle and Sivak found that almost 60% of respondents in the US, UK, and Australia are not willing to pay more for the new technology, while only 10% are willing to pay much more [34].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
The Literature Review (page unavailable) identifies Schoettle and Sivak as researchers who surveyed willingness to pay for AVs, but does not report the claimed 60% and 10% findings or identify a US, UK, and Australian sample. Searches for those percentages and countries found no supporting passage in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn Richardson et al. survey, 74% of truck drivers feel safe about their jobs.
“74% of truck drivers feel safe about their jobs.”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
Section 3.2 describes an Irish national survey, while Section 4.1 reports respondents’ views about the safety of autonomous vehicles. Neither the supplied passages nor searches for “74% of truck drivers” and “Richardson” yielded a passage about truck drivers feeling secure in their jobs. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIn Richardson et al. survey, 51% of truck drivers believe AVs might increase traffic safety and comfort.
“51% of the truck drivers believe that AVs might increase traffic safety and comfort.”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
Section 4.1 reports the surveyed public’s views on AV safety, but does not identify truck drivers or give a 51% figure for improved safety and comfort. Searches for “51%,” “truck drivers,” and “Richardson” found no passage in our copy addressing the attributed survey result. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn Richardson et al. survey, 47% of truck drivers choose their job because of driving pleasure.
“47% of truck drivers choose their job because of driving pleasure.”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [34]
The Demographics of the sample section describes a survey of adults in Ireland, and §4.6 reports reasons for purchasing autonomous vehicles. Searches for Richardson, truck drivers, driving pleasure, and 47% found no passage addressing why truck drivers chose their jobs. (LLM, conf=0.75)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Fagnant, D. J., & Kockelman, K. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.04.003 · Cited by 3,214 · see citing works
Kyriakidis, M., Happee, R., & de Winter, J. C. F. (2015) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2015.04.014 · Cited by 1,383 · see citing works
Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
Bansal, P., Kockelman, K. M., & Singh, A. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.01.019 · Cited by 1,025 · see citing works
Katrakazas, C., Quddus, M., Chen, W., & Deka, L. (2015) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2015.09.011 · Cited by 800 · see citing works
Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age
Hulse, L. M., Xie, H., & Galea, E. R. (2017) · Safety Science · doi:10.1016/j.ssci.2017.10.001 · Cited by 701 · see citing works
Taeihagh, A., & Lim, H. S. M. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1494640 · Cited by 601 · see citing works
What drives people to accept automated vehicles? Findings from a field experiment
Xu, Z.-G., Zhang, K.-F., Min, H.-G., Wang, Z., Zhao, X.-M., & Liu, P. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.07.024 · Cited by 595 · see citing works
Cost-based analysis of autonomous mobility services
Bösch, P. M., Becker, F., Becker, H., & Axhausen, K. W. (2018) · Transport Policy · doi:10.1016/j.tranpol.2017.09.005 · Cited by 585 · see citing works
Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars
Kaur, K., & Rampersad, G. (2018) · Journal of Engineering and Technology Management · doi:10.1016/j.jengtecman.2018.04.006 · Cited by 557 · see citing works
What have we learned? A review of stated preference and choice studies on autonomous vehicles
Gkartzonikas, C., & Gkritza, K. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.12.003 · Cited by 515 · see citing works
Evaluating the safety impact of connected and autonomous vehicles on motorways
Papadoulis, A., Quddus, M., & Imprialou, M. (2019) · Accident Analysis & Prevention · doi:10.1016/j.aap.2018.12.019 · Cited by 480 · see citing works
Literature review on surveys investigating the acceptance of automated vehicles
Becker, F., & Axhausen, K. W. (2017) · Transportation · doi:10.1007/s11116-017-9808-9 · Cited by 418 · see citing works
Soteropoulos, A., Berger, M., & Ciari, F. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1523253 · Cited by 414 · see citing works
A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia
Schoettle, B., & Sivak, M. (2014) · 2014 International Conference on Connected Vehicles and Expo (ICCVE) · doi:10.1109/iccve.2014.7297637 · Cited by 400 · see citing works
Public Perceptions of Self-Driving Cars: The Case of Berkeley, California
Howard, D. J., & Dai, D. (2014) · Transportation Research Board 93rd Annual MeetingTransportation Research Board · Cited by 323 · see citing works
Advancements, prospects, and impacts of automated driving systems
Chan, C. (2017) · International Journal of Transportation Science and Technology · doi:10.1016/j.ijtst.2017.07.008 · Cited by 276 · see citing works
Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors
Liu, P., Guo, Q., Ren, F. Y., Wang, L., & Xu, Z. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.01.022 · Cited by 231 · see citing works
Automated driving: Safety blind spots
Noy, I. Y., Shinar, D., & Horrey, W. J. (2017) · Safety Science · doi:10.1016/j.ssci.2017.07.018 · Cited by 230 · see citing works
An Application on Multinomial Logistic Regression Model
El-Habil, A. M. (2012) · Pakistan Journal of Statistics and Operation Research · doi:10.18187/pjsor.v8i2.234 · Cited by 204 · see citing works
Autonomous vehicles: Scientometric and bibliometric review
Gandia, R. M., Antonialli, F., Cavazza, B. H., Neto, A. M., Lima, D. A. D., Sugano, J. Y., Nicolai, I., & Zambalde, A. L. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1518937 · Cited by 157 · see citing works
Forum, I. T. (2016) · ITF transport outlook/ITF Transport outlook · doi:10.1787/9789282108000-en · Cited by 152 · see citing works
A Study of Public Acceptance of Autonomous Cars
Jardim, A. S., Casley, S. V., & Quartulli, A. M. (2013) · Digital WPI · Cited by 85 · see citing works
Nikitas, A., Njoya, E. T., & Dani, S. (2019) · International Journal of Automotive Technology and Management · doi:10.1504/ijatm.2019.098513 · Cited by 83 · see citing works
Integrating People and Freight Transportation Using Shared Autonomous Vehicles with Compartments
Beirigo, B. A., Schulte, F., & Negenborn, R. R. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.07.064 · Cited by 79 · see citing works
Operational performance of a congested corridor with lanes dedicated to autonomous vehicle traffic
Laan, Z. V., & Sadabadi, K. F. (2017) · International Journal of Transportation Science and Technology · doi:10.1016/j.ijtst.2017.05.006 · Cited by 61 · see citing works
Built environment, non-motorized travel and overall physical activity
Stefánsdóttir, H., Næss, P., & Ihlebæk, C. (2018) · Travel Behaviour and Society · doi:10.1016/j.tbs.2018.08.004 · Cited by 61 · see citing works
Three social car visions to improve driver behaviour
Rakotonirainy, A., Schroeter, R., & Soro, A. (2014) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2014.06.004 · Cited by 57 · see citing works
(2012) · Santa Clara Law Digital Commons (Santa Clara University) · Cited by 40 · see citing works
Examining the efficiency of autonomous vehicles in highway transport
Rezaei, M. (2020) · Arrow@dit (Dublin Institute of Technology) · Cited by 2 · see citing works
Flagged first, then by citations
1 of the 31 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [6]6. Biehl, A., Ermagun, A., Stathopoulos, A. Utilizing multi-stage behaviour change theory to model the process of bike share adoption, Transport Policy, 2019, Vol 77, pp 30-45
- [11]11. Delclòs-Alió, X., Marquet, O., Miralles-Guasch, C. Keeping track of time: A Smartphone- based analysis of travel time perception in a suburban environment. Travel Behaviour and Society, 2017, Vol 9, pp 1-9
- [41]41. Underwood, S. (2014). Automated Vehicles Forecast: Expert Forecast and Roadmap for Sustainable Transportation -Automated, Connected, and Electric Vehicle Systems. Vehicle Symposium Opinion Survey. Institute for Advanced Vehicle Systems, University of Michigan -Dearborn. Retrieved from http://graham.umich.edu/media/files/LC-IA- ACE-Roadmap-Expert-Forecast-Underwood.pdf.
Cited by
Sorted by citations
Public acceptance and perception of autonomous vehicles: a comprehensive review
Othman, K. (2021) · AI and Ethics · doi:10.1007/s43681-021-00041-8 · Cited by 347 · see citing works
Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS
Foroughi, B., Nhan, P. V., Iranmanesh, M., Ghobakhloo, M., Nilashi, M., & Yadegaridehkordi, E. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103158 · Cited by 138 · see citing works
Vu, H. T., & Lim, J. (2021) · Behaviour and Information Technology · doi:10.1080/0144929x.2021.1884288 · Cited by 135 · see citing works
Dong, J., Chen, S., Miralinaghi, M., Chen, T., Li, P., & Labi, S. (2023) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2023.104358 · Cited by 98 · see citing works
Miller, K., Chng, S., & Cheah, L. W. (2022) · Travel Behaviour and Society · doi:10.1016/j.tbs.2022.06.007 · Cited by 91 · see citing works
Maeng, K., & Cho, Y. (2021) · Travel Behaviour and Society · doi:10.1016/j.tbs.2021.08.001 · Cited by 55 · see citing works
Empirical evidence of bias in public acceptance of autonomous vehicles
Janatabadi, F., & Ermagun, A. (2021) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2021.12.005 · Cited by 50 · see citing works
Safety of autonomous vehicles: what are the insights from experienced industry professionals?
Rezaei, M., & Caulfield, B. M. (2021) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2021.07.005 · Cited by 47 · see citing works
Self-citationInfluence of perceived safety in the technology acceptance model
Yao, S., Xie, L., Chen, Y., Zhang, Y., Chen, Y., & Gao, M. (2023) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2023.10.010 · Cited by 46 · see citing works
Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research
Ho, J. S., Tan, B. C., Lau, T. C., & Khan, N. (2023) · Sustainability · doi:10.3390/su15021566 · Cited by 36 · see citing works
What drives tourists to adopt self-driving cars?
Jászberényi, M., Miskolczi, M., Munkácsy, A., & Földes, D. (2022) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2022.07.013 · Cited by 34 · see citing works
Peer-to-Peer (P2P) carsharing and driverless vehicles: Attitudes and values of vehicle owners
Olaru, D., Greaves, S. P., Leighton, C., Smith, B., & Arnold, T. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2021.07.008 · Cited by 31 · see citing works
Othman, K. (2022) · Cogent Engineering · doi:10.1080/23311916.2022.2156063 · Cited by 31 · see citing works
Simulating a transition to autonomous mobility
Rezaei, M., & Caulfield, B. M. (2020) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2020.102175 · Cited by 30 · see citing works
Self-citationRowe, F., Medina, M. J., Journé, B., Coëtard, E., & Myers, M. D. (2023) · Journal of Information Technology · doi:10.1177/02683962231207108 · Cited by 27 · see citing works
Adnan, N. (2024) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2024.101110 · Cited by 23 · see citing works
The formation of initial trust by potential passengers of self-driving taxis
Xie, H., David, A., Mamun, M. R. A., Prybutok, V. R., & Sidorova, A. (2022) · Journal of Decision System · doi:10.1080/12460125.2021.2023258 · Cited by 23 · see citing works
Debbaghi, F.-Z., Rombaut, E., & Vanhaverbeke, L. (2024) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2024.10.003 · Cited by 21 · see citing works
Psychological consequences of legal responsibility misattribution associated with automated vehicles
Liu, P., Du, M., & Li, T. (2021) · Ethics and Information Technology · doi:10.1007/s10676-021-09613-y · Cited by 20 · see citing works
Moving toward a More Sustainable Autonomous Mobility, Case of Heterogeneity in Preferences
Farzin, I., Abbasi, M., Macioszek, E., Mamdoohi, A. R., & Ciari, F. (2022) · Sustainability · doi:10.3390/su15010460 · Cited by 17 · see citing works
Autonomous Driving Small-Scale Cars: A Survey of Recent Development
Li, D., Auerbach, P., & Okhrin, O. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3572394 · Cited by 22 · see citing works
Impact of Prior Knowledge about Autonomous Vehicles on the Public Attitude
Othman, K. (2023) · Civil Engineering Journal · doi:10.28991/cej-2023-09-04-017 · Cited by 12 · see citing works
Rezaei, M., Cao, M., Liu, Q., & Vos, J. D. (2023) · Journal of Advanced Transportation · doi:10.1155/2023/6065060 · Cited by 12 · see citing works
Safety Toolkit for Automated Vehicle Shuttle -Practical Implementation of Digital Twin
Sell, R., Malayjerdi, E., Malayjerdi, M., & Baykara, B. C. (2022) · International Conference on Connected Vehicles and Expo · doi:10.1109/iccve52871.2022.9742881 · Cited by 10 · see citing works
Exploring the evolution of public acceptance towards autonomous vehicles with the level of knowledge
Othman, K. (2023) · Innovative Infrastructure Solutions · doi:10.1007/s41062-023-01180-z · Cited by 10 · see citing works
Talking Cars, Doubtful Users—A Population Study in Virtual Reality
Derakhshan, S., Nezami, F. N., Wächter, M. A., Czeszumski, A., Keshava, A., Lukanov, H., Palol, M. V. D., Pipa, G., & Peter König, B. (2022) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2022.3168437 · Cited by 10 · see citing works
Projecting AV sales in the EU-27 and UK: Insights from Euro emission standards and historical trends
Alatawneh, A., & Török, Á. (2025) · Transport Policy · doi:10.1016/j.tranpol.2025.01.009 · Cited by 9 · see citing works
Barriers to autonomous vehicles adoption in Europe: Insights from literature and interviews
de Leo, G., & Miragliotta, G. (2026) · Journal of Urban Mobility · doi:10.1016/j.urbmob.2026.100194 · Cited by 9 · see citing works
Andrei, L., Negulescu, M. H., & Luca, O. (2022) · Energies · doi:10.3390/en15051698 · Cited by 9 · see citing works
Chng, S., Plananska, J., & Cheah, L. W. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100847 · Cited by 9 · see citing works
Othman, K. (2023) · Cogent Engineering · doi:10.1080/23311916.2023.2220502 · Cited by 8 · see citing works
Perceptions of Autonomous Vehicles: A Case Study of Jordan
Abudayyeh, D., Almomani, M. A., Almomani, O., Alsoud, H., & Alsalman, F. (2023) · World Electric Vehicle Journal · doi:10.3390/wevj14050133 · Cited by 8 · see citing works
Mouratidis, K., & Peters, S. (2025) · Journal of Urban Technology · doi:10.1080/10630732.2025.2509532 · Cited by 7 · see citing works
Kurse, T. K., Gebresenbet, G., & Daba, G. F. (2024) · Infrastructures · doi:10.3390/infrastructures9120237 · Cited by 7 · see citing works
Kaßens-Noor, E., Siegel, J. E., & Decaminada, T. (2021) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2021.723475 · Cited by 7 · see citing works
Understanding the Changes in Public Perception toward Autonomous Vehicles over Time
Rezwana, S., Shaon, M. R. R., & Lownes, N. (2023) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784484876.032 · Cited by 7 · see citing works
Perceptions of autonomous vehicles among older adults and people with physical disability
Win, A. T., Nelson, J. D., & Ho, C. Q. (2025) · Journal of Urban Mobility · doi:10.1016/j.urbmob.2025.100165 · Cited by 6 · see citing works
Framework, model and algorithm for the global control of urban automated driving traffic
Li, K., Han, X., & Jin, X. (2024) · Frontiers of Engineering Management · doi:10.1007/s42524-023-0294-9 · Cited by 6 · see citing works
Sadeghpour, M., & Beyazıt, E. (2024) · Transportation Planning and Technology · doi:10.1080/03081060.2024.2367131 · Cited by 6 · see citing works
Khan, S. K., Shiwakoti, N., Stasinopoulos, P., & Warren, M. (2024) · IET Intelligent Transport Systems · doi:10.1049/itr2.12541 · Cited by 5 · see citing works
Paschalidis, E., Zhai, S., Guo, J., Wei, T., Liu, P., & Chen, H. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2212220 · Cited by 6 · see citing works
Naujokienė, L., Peleckienė, V., Vaičiūtė, K., & Kulikauskienė, K. (2025) · Sustainability · doi:10.3390/su17125510 · Cited by 5 · see citing works
Chen, Y., Stasinopoulos, P., Shiwakoti, N., & Khan, S. K. (2023) · Sensors · doi:10.3390/s23177388 · Cited by 5 · see citing works
Machine Learning Techniques for Fatal Accident Prediction
Zermane, H., Zermane, A., & Tohir, M. Z. M. (2024) · ACC Journal · doi:10.2478/acc-2024-0003 · Cited by 5 · see citing works
Consumer preferences and willingness to pay for data privacy in automated vehicles
Huang, Y., & Qian, L. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104585 · Cited by 4 · see citing works
Sadeghpour, M., & Beyazıt, E. (2024) · Periodica Polytechnica Transportation Engineering · doi:10.3311/pptr.23576 · Cited by 4 · see citing works
Ethical and moral decision-making for self-driving cars based on deep reinforcement learning
Qian, Z., Guo, P., Wang, Y., & Xiao, F. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-224553 · Cited by 4 · see citing works
Madala, K., Krishnamoorthy, J., Gonzalez, C. A., Shivkumar, A., & Solmaz, M. (2022) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2022-01-0065 · Cited by 4 · see citing works
Park, I. R., Kim, S., & Moon, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0313143 · Cited by 3 · see citing works
Othman, K. (2023) · The Open Transportation Journal · doi:10.2174/18744478-v17-e230419-2022-6 · Cited by 3 · see citing works
Li, J., Zhang, W., Feng, Z., & Huang, W. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2480873 · Cited by 2 · see citing works
Grosso, M., Mourtzouchou, A., Duboz, L., Raileanu, I. C., Raposo, M. A., Garus, A., Krause, J., Ciuffo, B., Naegele, S., Kolarova, V., et al. (2023) · Transportation research procedia · doi:10.1016/j.trpro.2023.11.551 · Cited by 1 · see citing works
The influence of virtual character actions and emotional expressions on trust in autonomous vehicles
Tran, T. T. H., Peillard, É., Walsh, J., Moreau, G., & Thomas, B. H. (2026) · Virtual Reality · doi:10.1007/s10055-026-01334-1 · Cited by 1 · see citing works
How service logics shape autonomous vehicle acceptance under varying operational scenarios
Xie, A. (2026) · Transport Policy · doi:10.1016/j.tranpol.2026.104404 · Cited by 1 · see citing works
Impact of Autonomous Vehicles Accidents on the Public Attitude Towards This Emerging Technology
Othman, K. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-7753-4_41 · Cited by 1 · see citing works
Impacts of highly automated vehicles on urban passenger transport and tourism
Miskolczi, M. (2022) · doi:10.14267/phd.2022039 · Cited by 1 · see citing works
Dong, J., Chen, S., & Labi, S. (2023) · doi:10.5703/1288284317701 · Cited by 1 · see citing works
Reason induced visual attention for explainable autonomous drivingPreprint
Chen, S., Dong, J., Du, R., Li, Y., & Labi, S. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.07380 · Cited by 1 · see citing works
Talking cars, doubtful users - a population study in virtual realityPreprint
Nezami, F. N., Wächter, M. A., Keshava, A., Czeszumski, A., Lukanov, H., Palol, M. V. D., Pipa, G., & Peter König, B. (2021) · doi:10.31234/osf.io/bsjy6
Veículos autónomos na via pública: perceções sociais acerca da implementação
Afonso, B. A., de Oliveira, M. C., & Vicente, P. N. (2023) · Observatorio (OBS*) · doi:10.15847/obsobs17320232143
Understanding User Perceptions and Knowledge: A Survey of Public Acceptance of Driving AutomationPreprint
Zhou, H., Itoh, M., & Kitazaki, S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4798031
Tran, T. T. H., Peillard, É., Walsh, J. A., Moreau, G., & Thomas, B. H. (2025) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw66409.2025.00277
Understanding Public Acceptance Intentions Toward Driverless Robotaxis in ChinaPreprint
Wu, Y., Zhao, Q., Zhang, H., Pei, Y., Wan, Z., & Zhang, Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5497770
Lanzi, P., Spiller, E., Brambati, F., & Giampaolo, N. (2025) · Lecture notes in mobility · doi:10.1007/978-3-032-06763-0_94
Bibliometric mapping of global public acceptance trends in autonomous vehicles
Abdulwahab, A. M., & Sukor, N. S. A. (2026) · Discover Sustainability · doi:10.1007/s43621-026-02587-1
Won, Y., & Lim, J. (2026) · Travel Behaviour and Society · doi:10.1016/j.tbs.2026.101310
Han, X., Wang, E., Rui, Z., Wang, L., & Liu, Q. (2026) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2026.103667
From understanding resistance to fostering acceptance: how mindsets impact GenAI adoption
Wieland, J., Keating, L. A., & Mohnen, A. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2706666
Pigeon, C., Alauzet, A., & Paire‐Ficout, L. (2026) · Journal of Transport & Health · doi:10.1016/j.jth.2026.102448
Franssen, M., Gao, R., van der Spek, E. D., & Martens, M. H. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2746452
Franssen, M., van der Spek, E. D., & Martens, M. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1917625
- Authors
- Rezaei, A., & Caulfield, B.
- Affiliations
- Trinity College Dublin (IE)
- Corresponding author
- Caulfield, Brian
- ORCID
- Caulfield, Brian
- Venue
- Travel Behaviour and Society
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 21
- Pages
- 235-246
- ISSN
- 2214-367X (ISSN-L)
- OpenAlex
- W3045556522
- Cited by
- 72
- References
- 31
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 9 · 2023: 20 · 2022: 11 · 2021: 9 · 2020: 1
- FWCI
- 3.68
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Travel Behaviour and Society (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion, cc-by-nc-sa)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- autonomous vehicles, public acceptance, technology adoption, willingness to pay, privacy concerns, data recording, vehicle safety, liability, commuting
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review