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A multi-road user evaluation of the acceptance of connected and automated vehicles through the lenses of safety and justice

dc.contributor.authorMartínez-Buelvas, Laura
dc.contributor.authorRakotonirainy, Andry
dc.contributor.authorGrant-Smith, Deanna
dc.contributor.authorOviedo-Trespalacios, Oscar
dc.date.accessioned2024-10-07T13:24:20Z
dc.date.available2024-10-07T13:24:20Z
dc.date.issued2024-09-27
dc.date.submitted2024-10-05
dc.identifier.citationMartínez-Buelvas, L., Rakotonirainy, A., Grant-Smith, D., & Oviedo-Trespalacios, O. (2024). A multi-road user evaluation of the acceptance of connected and automated vehicles through the lenses of safety and justice. Transportation Research Part F: Traffic Psychology and Behaviour, 107, 521-536. https://doi.org/10.1016/j.trf.2024.09.011spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12747
dc.description.abstractAs technological development towards connected and automated vehicles (CAVs) continues to rise, addressing the challenges associated with their integration is crucial, especially regarding public acceptance. This study explores the acceptability of CAVs, focusing on their potential role in enhancing safety and justice within the transport system. Semi-structured interviews were conducted with a diverse participant group, including 18 car drivers (aged 20–79, M = 48.3, SD = 18.77) and 12 pedestrians (aged 18–61, M = 36.0, SD = 12.94). Thematic analysis was employed to identify and contextualise factors influencing CAV acceptability, encompassing usefulness, ease of use, effectiveness, affordability, and social acceptability. Results emphasised safety as a top priority for both drivers and pedestrians. Trust and system reliability were also common concerns, varying with participants’ roles and transport experiences. Both drivers and pedestrians identified cost and economic benefits as significant barriers to CAV acceptance. Moreover, shared apprehensions about justice in adopting CAVs acknowledged the imperfections inherent in technological advancements. Participants supported CAVs but raised concerns about potential harm to vulnerable road users. Both car drivers and pedestrians expressed concerns that introducing CAVs could exacerbate existing injustices these road users face. This study offers valuable insights into how individual differences influence CAV acceptability, contributing to understanding their preparedness to adopt advanced automotive technologies.spa
dc.format.extent16 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceTransportation Research Part F: Psychology and Behaviourspa
dc.titleA multi-road user evaluation of the acceptance of connected and automated vehicles through the lenses of safety and justicespa
dcterms.bibliographicCitationAhmed, M. L., Iqbal, R., Karyotis, C., Palade, V., & Amin, S. A. (2021). Predicting the public adoption of connected and autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 23(2), 1680–1688. https://doi.org/10.1109/TITS.2021.3109846spa
dcterms.bibliographicCitationAfghari, A. P., Papadimitriou, E., Li, X., Kaye, S. A., & Oviedo-Trespalacios, O. (2021). How much should a pedestrian be fined for intentionally blocking a fully automated vehicle? A random parameters beta hurdle model with heterogeneity in the variance of the beta distribution. Analytic Methods in Accident Research, 32, Article 100186. https://doi.org/10.1016/j.amar.2021.100186spa
dcterms.bibliographicCitationAnderson, J. M., Nidhi, K., Stanley, K. D., Sorensen, P., Samaras, C., & Oluwatola, O. A. (2014). Autonomous vehicle technology: a guide for policymakers. Rand Corporation.spa
dcterms.bibliographicCitationAsgari, H., & Jin, X. (2019). Incorporating attitudinal factors to examine adoption of and willingness to pay for autonomous vehicles. Transportation Research Record, 2673(8), 418–429. https://doi.org/10.1177/0361198119839987spa
dcterms.bibliographicCitationBansal, 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. https://doi.org/10.1016/j.trc.2016.01.019spa
dcterms.bibliographicCitationClements, L. M., & Kockelman, K. M. (2017). Economic effects of automated vehicles. Transportation Research Record, 2606(1), 106–114. https://doi.org/10.3141/ 2606-14spa
dcterms.bibliographicCitationChan and Lee, 2021 W.M. Chan, J.W.C. Lee 5G connected autonomous vehicle acceptance: the mediating effect of trust in the technology acceptance model Asian Journal of Business Research, 11 (1) (2021), pp. 40-60spa
dcterms.bibliographicCitationChee, P. N. E., Susilo, Y. O., Wong, Y. D., & Pernestål, A. (2020). Which factors affect willingness-to-pay for automated vehicle services? Evidence from public road deployment in Stockholm, Sweden. European Transport Research Review, 12(1), 1–17. https://doi.org/10.1186/s12544-020-00404-yspa
dcterms.bibliographicCitationChu, Y., & Liu, P. (2023). Human factor risks in driving automation crashes. In International Conference on Human-Computer Interaction (pp. 3–12). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35678-0_1spa
dcterms.bibliographicCitationCreswell, 1998 J.W. Creswell Qualitative inquiry and research design: choosing among five traditions Sage, Thousand Oaks, CA (1998)spa
dcterms.bibliographicCitationDavis, 1985 F.D. Davis A technology acceptance model for empirically testing new end-user information systems: theory and results Doctoral dissertation Massachusetts Institute of Technology (1985)spa
dcterms.bibliographicCitationDeb, S., Rahman, M. M., Strawderman, L. J., & Garrison, T. M. (2018). Pedestrians’ receptivity toward fully automated vehicles: research review and roadmap for future research. IEEE Transactions on Human-Machine Systems, 48, 279–290. https://doi.org/10.1109/THMS.2018.2799523spa
dcterms.bibliographicCitationDennis, S., Paz, A., & Yigitcanlar, T. (2021). Perceptions and attitudes towards the deployment of autonomous and connected vehicles: insights from Las Vegas, Nevada. Journal of Urban Technology, 28(3–4), 75–95. https://doi.org/10.1080/10630732.2021.1879606spa
dcterms.bibliographicCitationDixon, L. (2020). Autonowashing: the greenwashing of vehicle automation. Transportation Research Interdisciplinary Perspectives, 5, Article 100113. https://doi.org/ 10.1016/j.trip.2020.100113spa
dcterms.bibliographicCitationDogan, E., Costantini, F., & Le Boennec, R. (2020). Ethical issues concerning automated vehicles and their implications for transport. In Advances in transport policy and planning, 5 pp. 215–233). Academic Press. https://doi.org/10.1016/bs.atpp.2020.05.003.spa
dcterms.bibliographicCitationDuboz, A., Mourtzouchou, A., Grosso, M., Kolarova, V., Cordera, R., N¨ agele, S., … Ciuffo, B. (2022). Exploring the acceptance of connected and automated vehicles: focus group discussions with experts and non-experts in transport. Transportation Research Part F: Traffic Psychology and Behaviour, 89, 200–221. https://doi.org/ 10.1016/j.trf.2022.06.013spa
dcterms.bibliographicCitationEmory, K., Douma, F., & Cao, J. (2022). Autonomous vehicle policies with equity implications: patterns and gaps. Transportation Research Interdisciplinary Perspectives, 13, Article 100521. https://doi.org/10.1016/j.trip.2021.100521spa
dcterms.bibliographicCitationFaber, K., & Van Lierop, D. (2020). How will older adults use automated vehicles? Assessing the role of AVs in overcoming perceived mobility barriers. Transportation Research Part A: Policy and Practice, 133, 353–363. https://doi.org/10.1016/j.tra.2020.01.022spa
dcterms.bibliographicCitationFagnant, 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. https://doi.org/10.1016/j.tra.2015.04.003spa
dcterms.bibliographicCitationFereday, J., & Muir-Cochrane, E. (2006). Demonstrating rigor using thematic analysis: a hybrid approach of inductive and deductive coding and theme development. International Journal of Qualitative Methods, 5(1), 80–92. https://doi.org/10.1177/16094069060050010spa
dcterms.bibliographicCitationGill, T. (2021). Ethical dilemmas are really important to potential adopters of autonomous vehicles. Ethics and Information Technology, 23(4), 657–673. https://doi. org/10.1007/s10676-021-09605-yspa
dcterms.bibliographicCitationHaque, M. M., Oviedo-Trespalacios, O., Sharma, A., & Zheng, Z. (2021). Examining the driver-pedestrian interaction at pedestrian crossings in the connected environment: a hazard-based duration modelling approach. Transportation Research Part A: Policy and Practice, 150, 33–48. https://doi.org/10.1016/j. tra.2021.05.014spa
dcterms.bibliographicCitationHsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288. https://doi.org/10.1177/ 1049732305276687spa
dcterms.bibliographicCitationJiang, Z., Yu, D., Luan, S., Zhou, H., & Meng, F. (2022). Integrating traffic signal optimisation with vehicle microscopic control to reduce energy consumption in a connected and automated vehicles environment. Journal of Cleaner Production, 371, Article 133694. https://doi.org/10.1016/j.jclepro.2022.133694spa
dcterms.bibliographicCitationKarner, A., London, J., Rowangould, D., & Manaugh, K. (2020). From transportation equity to transportation justice: within, through, and beyond the state. Journal of Planning Literature, 35, 440–459. https://doi.org/10.1177/0885412220927691spa
dcterms.bibliographicCitationKaye, S. A., Lewis, I., Buckley, L., & Rakotonirainy, A. (2020). Assessing the feasibility of the theory of planned behaviour in predicting drivers’ intentions to operate conditional and full automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 173–183. https://doi.org/10.1016/j.trf.2020.08.015spa
dcterms.bibliographicCitationKaye, S. A., Li, X., Oviedo-Trespalacios, O., & Afghari, A. P. (2022). Getting in the path of the robot: pedestrians acceptance of crossing roads near fully automated vehicles. Travel Behaviour and Society, 26, 1–8. https://doi.org/10.1016/j.tbs.2021.07.012spa
dcterms.bibliographicCitationKelly, S., Kaye, S. A., & Oviedo-Trespalacios, O. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, 77, Article 101925. https://doi.org/10.1016/j.tele.2022.101925spa
dcterms.bibliographicCitationKim, M. K., Park, J. H., Oh, J., Lee, W. S., & Chung, D. (2019). Identifying and prioritising the benefits and concerns of connected and autonomous vehicles: a comparison of individual and expert perceptions. Research in Transportation Business and Management, 32, Article 100438. https://doi.org/10.1016/j. rtbm.2020.100438spa
dcterms.bibliographicCitationKim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283–311. https://doi.org/10.1111/j.1365-2575.2007.00269.xspa
dcterms.bibliographicCitationKonig, ¨ M., & Neumayr, L. (2017). Users’ resistance towards radical innovations: the case of the self-driving car. Transportation Research Part F: Traffic Psychology and Behaviour, 44, 42–52. https://doi.org/10.1016/j.trf.2016.10.013spa
dcterms.bibliographicCitationKroesen, M., Milakis, D., & Van Wee, B. (2023). Automated vehicles: changes in expert opinions over time. Transport Policy, 136, 1–10. https://doi.org/10.1016/j. tranpol.2023.03.005spa
dcterms.bibliographicCitationKyriakidis, M., Happee, R., & De Winter, J. C. (2015). Public opinion on automated driving: results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 127–140. https://doi.org/10.1016/j.trf.2015.04.014spa
dcterms.bibliographicCitationKyriakidis, M., Sodnik, J., Stojmenova, K., Elvarsson, A. B., Pronello, C., & Thomopoulos, N. (2020). The role of human operators in safety perception of AV deployment-insights from a large European survey. Sustainability, 12(21), Article 9166. https://doi.org/10.3390/su12219166spa
dcterms.bibliographicCitationLee and Hess, 2020 D. Lee, D.J. Hess Regulations for on-road testing of connected and automated vehicles: assessing the potential for global safety harmonisation Transportation Research Part A – Policy and Practice, 136 (2020), pp. 85-98spa
dcterms.bibliographicCitationLeicht, T., Chtourou, A., & Youssef, K. B. (2018). Consumer innovativeness and intentioned autonomous car adoption. The Journal of High Technology Management Research, 29(1), 1–11. https://doi.org/10.1016/j.hitech.2018.04.001spa
dcterms.bibliographicCitationLeung, L. (2015). Validity, reliability, and generalizability in qualitative research. Journal of Family Medicine and Primary Care, 4(3), 324–327. https://doi.org/ 10.4103/2249-4863.161306spa
dcterms.bibliographicCitationLi, D., & Wagner, P. (2019). Impacts of gradual automated vehicle penetration on motorway operation: a comprehensive evaluation. European Transport Research Review, 11, 1–10. https://doi.org/10.1186/s12544-019-0375-3spa
dcterms.bibliographicCitationLi, 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, 2022. https://doi.org/10.1155/2022/7489897spa
dcterms.bibliographicCitationLi, Afghari, Oviedo-Trespalacios, Kaye, & Haworth, 2023 X. Li, A.P. Afghari, O. Oviedo-Trespalacios, S.A. Kaye, N. Haworth Cyclists perception and self-reported behaviour towards interacting with fully automated vehicles Transportation research part A: policy and practice, 173 (2023), p. 103713spa
dcterms.bibliographicCitationLi et al., 2023 X. Li, S.A. Kaye, A.P. Afghari, O. Oviedo-Trespalacios Sharing roads with automated vehicles: a questionnaire investigation from drivers’, cyclists’ and pedestrians’ perspectives Accident Analysis & Prevention, 188 (2023), Article 107093spa
dcterms.bibliographicCitationLi, X., Oviedo-Trespalacios, O., Afghari, A. P., Kaye, S. A., & Yan, X. (2023). Yield or not to yield? An inquiry into drivers’ behaviour when a fully automated vehicle indicates a lane-changing intention. Transportation research part F: traffic psychology and behaviour, 95, 405-417spa
dcterms.bibliographicCitationLijarcio, I., Useche, S. A., Llamazares, J., & Montoro, L. (2019). Availability, demand, perceived constraints and disuse of ADAS technologies in Spain: findings from a national study. IEEE Access, 7, 129862–129873. https://doi.org/10.1109/ACCESS.2019.2939302spa
dcterms.bibliographicCitationLiu, N., Nikitas, A., & Parkinson, S. (2020). Exploring expert perceptions about the cyber security and privacy of connected and autonomous vehicles: a thematic analysis approach. Transportation Research Part F: Traffic Psychology and Behaviour, 75, 66–86. https://doi.org/10.1016/j.trf.2020.09.019spa
dcterms.bibliographicCitationLonghurst, 2010 R. Longhurst Semi-structured interviews and focus groups N. Clifford, M. Cope, T. Gillespie, S. French (Eds.), Key methods in geography (3rd ed.), SAGE (2010), pp. 143-156spa
dcterms.bibliographicCitationMartínez-Buelvas, L., Rakotonirainy, A., Grant-Smith, D., & Oviedo-Trespalacios, O. (2022). A transport justice approach to integrating vulnerable road users with automated vehicles. Transportation Research Part D: Transport and Environment, 113, Article 103499. https://doi.org/10.1016/j.trd.2022.103499spa
dcterms.bibliographicCitationManivasakan, H., Kalra, R., O’Hern, S., Fang, Y., Xi, Y., & Zheng, N. (2021). Infrastructure requirement for autonomous vehicle integration for future urban and suburban roads–Current practice and a case study of Melbourne, Australia. Transportation Research Part A: Policy and Practice, 152, 36–53. https://doi.org/ 10.1016/j.tra.2021.07.012spa
dcterms.bibliographicCitationMartínez-Buelvas, L., Rakotonirainy, A., Grant-Smith, D., Oviedo-Trespalacios, O. (2024). Impact of Connected and Automated Vehicles on Transport Injustices. 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Island, Korea, Republic of, 1609-1614. https://doi.org/10.1109/iv55156.2024.10588552.spa
dcterms.bibliographicCitationMiller, K., Chng, S., & Cheah, L. (2022). Understanding acceptance of shared autonomous vehicles among people with different mobility and communication needs. Travel Behaviour and Society, 29, 200–210. https://doi.org/10.1016/j.tbs.2022.06.007spa
dcterms.bibliographicCitationMitsopoulos-Rubens and Regan, 2018 E. Mitsopoulos-Rubens, M.A. Regan Measuring acceptability through questionnaires and focus groups M.A. Regan, T. Horberry, A. Stevens (Eds.), Driver acceptance of new technology: theory, measurement and optimisation, CRC Press (2018), pp. 89-104spa
dcterms.bibliographicCitationMorando, M. M., Tian, Q., Truong, L. T., & Vu, H. L. (2018). Studying the safety impact of autonomous vehicles using simulation-based surrogate safety measures. Journal of Advanced Transportation, 2018. https://doi.org/10.1155/2018/6135183spa
dcterms.bibliographicCitationNielsen, 1994 J. Nielsen Usability engineering Morgan Kaufmann (1994)spa
dcterms.bibliographicCitationNordhoff, S., Van Arem, B., & Happee, R. (2016). Conceptual model to explain, predict, and improve user acceptance of driverless podlike vehicles. Transportation Research Record, 2602(1), 60–67. https://doi.org/10.3141/2602-08spa
dcterms.bibliographicCitationNordhoff, S., Louw, T., Innamaa, S., Lehtonen, E., Beuster, A., Torrao, G., … Merat, N. (2020). Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: a questionnaire study among 9,118 car drivers from eight European countries. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 280–297. https://doi.org/10.1016/j.trf.2020.07.015spa
dcterms.bibliographicCitationNyholm, S., & Smids, J. (2020). Automated cars meet human drivers: responsible human-robot coordination and the ethics of mixed traffic. Ethics and Information Technology, 22, 335–344. https://doi.org/10.1007/s10676-018-9445-9spa
dcterms.bibliographicCitationOsborne, N., & Grant-Smith, D. (2021). In-depth interviewing. In S. Baum (Ed.), Methods in urban analysis (pp. 105–125). Springer. https://doi.org/10.1007/978-981- 16-1677-8_7.spa
dcterms.bibliographicCitationOwens, J. M., Sandt, L., Habibovic, A., McCullough, S. R., Snyder, R., Emerson, R. W., … Soriano, B. (2019). Automated vehicles and vulnerable road users: envisioning a healthy, safe and equitable future. Road Vehicle Automation, 6, 61–71. https://doi.org/10.1007/978-3-030-22933-7_7spa
dcterms.bibliographicCitationPapadoulis, A., Quddus, M., & Imprialou, M. (2019). Evaluating the safety impact of connected and autonomous vehicles on motorways. Accident Analysis and Prevention, 124, 12–22. https://doi.org/10.1016/j.aap.2018.12.019spa
dcterms.bibliographicCitationPayre, W., Cestac, J., & Delhomme, P. (2014). Intention to use a fully automated car: attitudes and a priori acceptability. Transportation Research Part F: Traffic Psychology and Behaviour, 27, 252–263. https://doi.org/10.1016/j.trf.2014.04.009spa
dcterms.bibliographicCitationPereira, R. H. M., Schwanen, T., & Banister, D. (2017). Distributive justice and equity in transportation. Transport Reviews, 37(2), 170–191. https://doi.org/10.1080/ 01441647.2016.1257660spa
dcterms.bibliographicCitationPettigrew, S., Fritschi, L., & Norman, R. (2018). The potential implications of autonomous vehicles in and around the workplace. International Journal of Environmental Research and Public Health, 15(9), 1876. https://doi.org/10.3390/ijerph15091876spa
dcterms.bibliographicCitationPratt, M. G., Kaplan, S., & Whittington, R. (2020). Editorial essay: the tumult over transparency: decoupling transparency from replication in establishing trustworthy qualitative research. Administrative science quarterly, 65(1), 1–19. https://doi.org/10.1177/0001839219887663spa
dcterms.bibliographicCitationPyrialakou, V. D., Gkartzonikas, C., Gatlin, J. D., & Gkritza, K. (2020). Perceptions of safety on a shared road: driving, cycling, or walking near an autonomous vehicle. Journal of Safety Research, 72, 249–258. https://doi.org/10.1016/j.jsr.2019.12.017spa
dcterms.bibliographicCitationQu, S. Q., & Dumay, J. (2011). The qualitative research interview. Qualitative Research in Accounting and Management, 8(3), 238–264. https://doi.org/10.1108/ 11766091111162070spa
dcterms.bibliographicCitationQueensland Government (2017). Cooperative and automated vehicle initiative. Online at: https://www.qld.gov.au/transport/projects/cavi/cavi-project [29.01.2024]spa
dcterms.bibliographicCitationRahman, M. M., Deb, S., Strawderman, L., Burch, R., & Smith, B. (2019). How the older population perceives self-driving vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 242–257. https://doi.org/10.1016/j.trf.2019.08.002spa
dcterms.bibliographicCitationRegan et al., 2017 M. Regan, M. Cunningham, V. Dixit, T. Horberry, A. Bender, K. Weeratunga, A. Hassan Preliminary findings from the first Australian national survey of public opinion about automated and driverless vehicles Australian and New Zealand Driverless Vehicle Initiative (2017)spa
dcterms.bibliographicCitationRegan et al., 2002 M.A. Regan, E. Mitsopoulos, N. Haworth, K. Young Acceptability of in-vehicle intelligent transport systems to Victorian car drivers Monash University Accident Research Centre (2002)spa
dcterms.bibliographicCitationReyes-Munoz, ˜ A., & Guerrero-Iba´nez, ˜ J. (2022). Vulnerable road users and connected autonomous vehicles interaction: a survey. Sensors, 22(12), 4614. https://doi. org/10.3390/s22124614spa
dcterms.bibliographicCitationSchrauth, B., Funk, W., Maier, S., & Kraetsch, C. (2021). The acceptance of conditionally automated cars from the perspective of different road user groups. European Journal of Transport and Infrastructure Research, 21(4), 81–103. https://doi.org/10.18757/ejtir.2021.21.4.5466spa
dcterms.bibliographicCitationSciarretta, A., & Vahidi, A. (2020). Energy saving potentials of CAVs. In A. Sciarretta, & A. Vahidi (Eds.), Energy-efficient driving of road vehicles: toward cooperative, connected, and automated mobility (pp. 1–31). Springer Link. https://doi.org/10.1007/978-3-030-24127-8_1.spa
dcterms.bibliographicCitationSepehri Rad, A., Memarmontazerin, S., & Saffarzadeh, M. (2021). Effect of connected and autonomous vehicles on traffic safety. Road, 29(108), 51–62. https://doi. org/10.22034/ROAD.2021.138099spa
dcterms.bibliographicCitationSharma, I., & Mishra, S. (2020). Modeling consumers’ likelihood to adopt autonomous vehicles based on their peer network. Transportation Research Part D: Transport and Environment, 87, Article 102509. https://doi.org/10.1016/j.trd.2020.102509spa
dcterms.bibliographicCitationSingleton, P. A., De Vos, J., Heinen, E., & Pudane, ¯ B. (2020). Potential health and well-being implications of autonomous vehicles. In D. Milakis, N. Thomopoulos, & B. van Wee (Eds.), Advances in transport policy and planning (pp. 163–190). Academic Press. https://doi.org/10.1016/bs.atpp.2020.02.002.spa
dcterms.bibliographicCitationSociety of Automotive Engineers (2021). SAE levels of driving automation™ refined for clarity and international audience. Online at: https://www.sae.org/blog/saej3016-update [31.11.2023]spa
dcterms.bibliographicCitationSohrabi, S., Khreis, H., & Lord, D. (2020). Impacts of autonomous vehicles on public health: a conceptual model and policy recommendations. Sustainable Cities and Society, 63, Article 102457. https://doi.org/10.1016/j.scs.2020.102457spa
dcterms.bibliographicCitationSundararajan et al., 2019 S. Sundararajan, M. Yousuf, M. Omay, A. Steinfeld, J.M. Owens Automated vehicles (AVs) for people with disabilities Road Vehicle Automation, 5 (2019), pp. 85-90spa
dcterms.bibliographicCitationSwain, R., Truelove, V., Rakotonirainy, A., & Kaye, S. A. (2023). A comparison of the views of experts and the public on automated vehicles technologies and societal implications. Technology in Society. , Article 102288. https://doi.org/10.1016/j.techsoc.2023.102288spa
dcterms.bibliographicCitationTaiebat, M., Stolper, S., & Xu, M. (2019). Forecasting the impact of connected and automated vehicles on energy use: a microeconomic study of induced travel and energy rebound. Applied Energy, 247, 297–308. https://doi.org/10.1016/j.apenergy.2019.03.174spa
dcterms.bibliographicCitationTalebpour, A., & Mahmassani, H. S. (2016). Influence of connected and autonomous vehicles on traffic flow stability and throughput. Transportation Research Part C: Emerging Technologies, 71, 143–163. https://doi.org/10.1016/j.trc.2016.07.007spa
dcterms.bibliographicCitationTrosterer, ¨ S., G¨ artner, M., Mirnig, A., Meschtscherjakov, A., McCall, R., Louveton, N., & Engel, T. (2016). You never forget how to drive: driver skilling and deskilling in the advent of autonomous vehicles. In Proceedings of the 8th international conference on automotive user interfaces and interactive vehicular applications (pp. 209–216). Association for Computing Machinery. https://doi.org/10.1145/3003715.3005462spa
dcterms.bibliographicCitationTu, R., Alfaseeh, L., Djavadian, S., Farooq, B., & Hatzopoulou, M. (2019). Quantifying the impacts of dynamic control in connected and automated vehicles on greenhouse gas emissions and urban NO2 concentrations. Transportation Research Part D: Transport and Environment, 73, 142–151. https://doi.org/10.1016/j. trd.2019.06.008spa
dcterms.bibliographicCitationUseche, S. A., Penaranda-Ortega, ˜ M., Gonzalez-Marin, A., & Llamazares, F. J. (2021). Assessing the effect of drivers’ gender on their intention to use fully automated vehicles. Applied Sciences, 12(1), 103. https://doi.org/10.3390/app12010103spa
dcterms.bibliographicCitationYe, L., & Yamamoto, T. (2019). Evaluating the impact of connected and autonomous vehicles on traffic safety. Physica A: Statistical Mechanics and its Applications, 526, Article 121009. https://doi.org/10.1016/j.physa.2019.04.245spa
dcterms.bibliographicCitationVan Loon, R. J., & Martens, M. H. (2015). Automated driving and its effect on the safety ecosystem: how do compatibility issues affect the transition period? Procedia Manufacturing, 3, 3280–3285. https://doi.org/10.1016/j.promfg.2015.07.401spa
dcterms.bibliographicCitationVlassenroot and Brookhuis, 2018 S. Vlassenroot, K. Brookhuis Socio-psychological factors that influence acceptability of intelligent transport systems: a model Driver acceptance of new technology, CRC Press (2018), pp. 35-50spa
dcterms.bibliographicCitationWard, 2019 J. Ward Who's liable?: Developing a CTP insurance framework for automated vehicles Bulletin (Law Society of South Australia), 41 (2019), pp. 26-28spa
dcterms.bibliographicCitationWinston and Karpilow, 2020 C. Winston, Q. Karpilow Autonomous vehicles: The road to economic growth? Brookings Institution Press (2020)spa
dcterms.bibliographicCitationXing, Y., Zhou, H., Han, X., Zhang, M., & Lu, J. (2022). What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys. Technological Forecasting and Social Change, 176, Article 121454. https://doi.org/10.1016/j.techfore.2021.121454spa
dcterms.bibliographicCitationXu, X., & Fan, C.-K. (2019). Autonomous vehicles, risk perceptions and insurance demand: an individual survey in China. Transportation Research Part A: Policy and Practice, 124, 549–556. https://doi.org/10.1016/j.tra.2018.04.009spa
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dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/restrictedAccessspa
dc.identifier.doi10.1016/j.trf.2024.09.011
dc.subject.keywordsVulnerable road usersspa
dc.subject.keywordsSelf-driving vehiclesspa
dc.subject.keywordsSafetyspa
dc.subject.keywordsTransport justicespa
dc.subject.keywordsAcceptancespa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.publisher.facultyIngenieríaspa
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.