A review on the factors influencing the adoption of new mobility technologies and services: autonomous vehicle, drone, micromobility and mobility as a service

References

• Abolhassani, L., Afghari, A. P., & Borzadaran, H. M. (2019). Public preferences towards bicycle sharing system in developing countries: The case of Mashhad, Iran. Sustainable Cities and Society, 44, 763–773. https://doi.org/10.1016/j.scs.2018.10.032
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Aguilera-García, Á, Gomez, J., & Sobrino, N. (2020). Exploring the adoption of moped scooter-sharing systems in Spanish urban areas. Cities, 96, 102424. https://doi.org/10.1016/j.cities.2019.102424
   Web of Science ®Google Scholar
• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior (action control) (pp. 11–39). Springer.
   Google Scholar
• Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261–277. https://doi.org/10.1037/h0076477
   Web of Science ®Google Scholar
• Alonso-González, M. J., Hoogendoorn-Lanser, S., van Oort, N., Cats, O., & Hoogendoorn, S. (2020). Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes. Transportation Research Part A: Policy and Practice, 132, 378–401. https://doi.org/10.1016/j.tra.2019.11.022
   Web of Science ®Google Scholar
• Aydin, B. (2019). Public acceptance of drones: Knowledge, attitudes, and practice. Technology in Society, 59, 101180. https://doi.org/10.1016/j.techsoc.2019.101180
   Web of Science ®Google Scholar
• Bansal, P., Kockelman, K. M., & Singh, A. (2016). Assessing public opinions of and interest in new vehicle technologies: An Austin perspective. Transportation Research Part C: Emerging Technologies, 67, 1–14. https://doi.org/10.1016/j.trc.2016.01.019
   Web of Science ®Google Scholar
• Becker, F., & Axhausen, K. W. (2017). Literature review on surveys investigating the acceptance of automated vehicles. Transportation, 44(6), 1293–1306. https://doi.org/10.1007/s11116-017-9808-9
   Web of Science ®Google Scholar
• Bieliński, T., & Ważna, A. (2020). Electric scooter sharing and bike sharing user behaviour and characteristics. Sustainability, 12(22), 9640. https://doi.org/10.3390/su12229640
   Web of Science ®Google Scholar
• Boucher, P. (2016). ‘You wouldn’t have your granny using them’: Drawing boundaries between acceptable and unacceptable applications of civil drones. Science and Engineering Ethics, 22(5), 1391–1418. https://doi.org/10.1007/s11948-015-9720-7
   PubMed Web of Science ®Google Scholar
• Butler, L., Yigitcanlar, T., & Paz, A. (2021). Barriers and risks of mobility-as-a-service (MaaS) adoption in cities: A systematic review of the literature. Cities, 109, 103036.
   Web of Science ®Google Scholar
• Caiati, V., Rasouli, S., & Timmermans, H. (2020). Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment. Transportation Research Part A: Policy and Practice, 131, 123–148. https://doi.org/10.1016/j.tra.2019.09.029
   Web of Science ®Google Scholar
• Campbell, A. A., Cherry, C. R., Ryerson, M. S., & Yang, X. (2016). Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transportation Research Part C: Emerging Technologies, 67, 399–414. https://doi.org/10.1016/j.trc.2016.03.004
   Web of Science ®Google Scholar
• Charness, N., Yoon, J. S., Souders, D., Stothart, C., & Yehnert, C. (2018). Predictors of attitudes toward autonomous vehicles: The roles of age, gender, prior knowledge, and personality. Frontiers in Psychology, 9, 2589. https://doi.org/10.3389/fpsyg.2018.02589
   PubMed Web of Science ®Google Scholar
• Choi, J. K., & Ji, Y. G. (2015). Investigating the importance of trust on adopting an autonomous vehicle. International Journal of Human-Computer Interaction, 31(10), 692–702. https://doi.org/10.1080/10447318.2015.1070549
   Web of Science ®Google Scholar
• Clothier, R. A., Greer, D. A., Greer, D. G., & Mehta, A. M. (2015). Risk perception and the public acceptance of drones. Risk Analysis, 35(6), 1167–1183. https://doi.org/10.1111/risa.12330
   PubMed Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• de Chardon, C. M., Caruso, G., & Thomas, I. (2017). Bicycle sharing system ‘success’ determinants. Transportation Research Part A: Policy and Practice, 100, 202–214. https://doi.org/10.1016/j.tra.2017.04.020
   Web of Science ®Google Scholar
• Degele, J., Gorr, A., Haas, K., Kormann, D., Krauss, S., Lipinski, P., Tenbih, M., Koppenhoefer, C., Fauser, J., & Hertweck, D. (2018). Identifying e-scooter sharing customer segments using clustering. IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 1–8 Jun, 2018.
   Google Scholar
• Dirsehan, T., & Can, C. (2020). Examination of trust and sustainability concerns in autonomous vehicle adoption. Technology in Society, 63, 101361. https://doi.org/10.1016/j.techsoc.2020.101361
   Web of Science ®Google Scholar
• Eccarius, T., & Lu, C.-C. (2020). Adoption intentions for micro-mobility – insights from electric scooter sharing in Taiwan. Transportation Research Part D: Transport and Environment, 84, 102327. https://doi.org/10.1016/j.trd.2020.102327
   Web of Science ®Google Scholar
• Eißfeldt, H., Vogelpohl, V., Stolz, M., Papenfuß, A., Biella, M., Belz, J., & Kügler, D. (2020). The acceptance of civil drones in Germany. CEAS Aeronautical Journal, 1–12. https://doi.org/10.1007/s13272-020-00447-w.
   Google Scholar
• Eker, U., Fountas, G., Anastasopoulos, P. C., & Still, S. E. (2020). An exploratory investigation of public perceptions towards key benefits and concerns from the future use of flying cars. Travel Behaviour and Society, 19, 54–66. https://doi.org/10.1016/j.tbs.2019.07.003
   Web of Science ®Google Scholar
• Fishman, E. (2016). Bikeshare: A review of recent literature. Transport Reviews, 36(1), 92–113. https://doi.org/10.1080/01441647.2015.1033036
   Web of Science ®Google Scholar
• Fishman, E., Washington, S., Haworth, N., & Mazzei, A. (2014). Barriers to bikesharing: An analysis from Melbourne and Brisbane. Journal of Transport Geography, 41, 325–337. https://doi.org/10.1016/j.jtrangeo.2014.08.005
   Web of Science ®Google Scholar
• Fishman, E., Washington, S., Haworth, N., & Watson, A. (2015). Factors influencing bike share membership: An analysis of Melbourne and Brisbane. Transportation Research Part A: Policy and Practice, 71, 17–30. https://doi.org/10.1016/j.tra.2014.10.021
   Web of Science ®Google Scholar
• Gkartzonikas, C., & Gkritza, K. (2019). What have we learned? A review of stated preference and choice studies on autonomous vehicles. Transportation Research Part C: Emerging Technologies, 98, 323–337. https://doi.org/10.1016/j.trc.2018.12.003
   Web of Science ®Google Scholar
• Haboucha, C. J., Ishaq, R., & Shiftan, Y. (2017). User preferences regarding autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 37–49. https://doi.org/10.1016/j.trc.2017.01.010
   Web of Science ®Google Scholar
• Hess, A.-K., & Schubert, I. (2019). Functional perceptions, barriers, and demographics concerning e-cargo bike sharing in Switzerland. Transportation Research Part D: Transport and Environment, 71, 153–168. https://doi.org/10.1016/j.trd.2018.12.013
   Web of Science ®Google Scholar
• Ho, C. Q., Hensher, D. A., Mulley, C., & Wong, Y. Z. (2018). Potential uptake and willingness-to-pay for Mobility as a Service (MaaS): A stated choice study. Transportation Research Part A: Policy and Practice, 117, 302–318. https://doi.org/10.1016/j.tra.2018.08.025
   Web of Science ®Google Scholar
• Ho, C. Q., Mulley, C., & Hensher, D. A. (2020). Public preferences for mobility as a service: Insights from stated preference surveys. Transportation Research Part A: Policy and Practice, 131, 70–90. https://doi.org/10.1016/j.tra.2019.09.031
   Web of Science ®Google Scholar
• Hoerler, R., Stünzi, A., Patt, A., & Del Duce, A. (2020). What are the factors and needs promoting mobility-as-a-service? Findings from the Swiss Household Energy Demand Survey (SHEDS). European Transport Research Review, 12(1), 1–16. https://doi.org/10.1186/s12544-020-00412-y
   Web of Science ®Google Scholar
• Hosseini, S., Barker, K., & Ramirez-Marquez, J. E. (2016). A review of definitions and measures of system resilience. Reliability Engineering & System Safety, 145, 47–61. https://doi.org/10.1016/j.ress.2015.08.006
   Web of Science ®Google Scholar
• Howard, D., & Dai, D. (2014). Public perceptions of self-driving cars: The case of Berkeley, California. Transportation Research Board 93rd Annual Meeting, January 12–16, 2014.
   Google Scholar
• ITDP. (2021). Maximizing micromobility. https://www.itdp.org/wp-content/uploads/2021/06/ITDP_MaximizingMicromobility_2021_singlepage.pdf
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Jittrapirom, P., Caiati, V., Feneri, A. M., Ebrahimigharehbaghi, S., Alonso González, M. J., & Narayan, J. (2017). Mobility as a service: A critical review of definitions, assessments of schemes, and key challenges. Urban Planning, 2(2017), 13–25.
   Google Scholar
• Kamargianni, M., Li, W., Matyas, M., & Schäfer, A. (2016). A critical review of new mobility services for urban transport. Transportation Research Procedia, 14, 3294–3303. https://doi.org/10.1016/j.trpro.2016.05.277
   Google Scholar
• Kapser, S., & Abdelrahman, M. (2020). Acceptance of autonomous delivery vehicles for last-mile delivery in Germany – extending UTAUT2 with risk perceptions. Transportation Research Part C: Emerging Technologies, 111, 210–225. https://doi.org/10.1016/j.trc.2019.12.016
   Web of Science ®Google Scholar
• Kellermann, R., Biehle, T., & Fischer, L. (2020). Drones for parcel and passenger transportation: A literature review. Transportation Research Interdisciplinary Perspectives, 4, 100088. https://doi.org/10.1016/j.trip.2019.100088
   Google Scholar
• König, 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.2016.10.013
   Web of Science ®Google Scholar
• Krueger, R., Rashidi, T. H., & Rose, J. M. (2016). Preferences for shared autonomous vehicles. Transportation Research Part C: Emerging Technologies, 69, 343–355. https://doi.org/10.1016/j.trc.2016.06.015
   Web of Science ®Google Scholar
• Kyriakidis, 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.2015.04.014
   Web of Science ®Google Scholar
• Lavieri, P. S., & Bhat, C. R. (2019). Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future. Transportation Research Part A: Policy and Practice, 124, 242–261. https://doi.org/10.1016/j.tra.2019.03.009
   Web of Science ®Google Scholar
• Lavieri, P. S., Garikapati, V. M., Bhat, C. R., Pendyala, R. M., Astroza, S., & Dias, F. F. (2017). Modeling individual preferences for ownership and sharing of autonomous vehicle technologies. Transportation Research Record, 2665(1), 1–10. https://doi.org/10.3141/2665-01
   Web of Science ®Google Scholar
• Lee, D., Mulrow, J., Haboucha, C. J., Derrible, S., & Shiftan, Y. (2019). Attitudes on autonomous vehicle adoption using interpretable gradient boosting machine. Transportation Research Record, 2673(11), 865–878. https://doi.org/10.1177/0361198119857953
   Web of Science ®Google Scholar
• Lee, T. S., Lee, Y.-S., Lee, J., & Chang, B. C. (2018). Analysis of the intellectual structure of human space exploration research using a bibliometric approach: Focus on human related factors. Acta Astronautica, 143, 169–182. https://doi.org/10.1016/j.actaastro.2017.11.032
   Web of Science ®Google Scholar
• Leon, S., Chen, C., & Ratcliffe, A. (2021). Consumers’ perceptions of last mile drone delivery. International Journal of Logistics Research and Applications, 0(0), 1–20. https://doi.org/10.1080/13675567.2021.1957803
   Web of Science ®Google Scholar
• Li, X., Zhang, Y., Du, M., & Yang, J. (2019). Social factors influencing the choice of bicycle: Difference analysis among private bike, public bike sharing and free-floating bike sharing in Kunming, China. KSCE Journal of Civil Engineering, 23(5), 2339–2348.
   Web of Science ®Google Scholar
• Liao, F., & Correia, G. (2020). Electric carsharing and micromobility: A literature review on their usage pattern, demand, and potential impacts. International Journal of Sustainable Transportation, 1–30. https://doi.org/10.1080/15568318.2020.1861394
   Web of Science ®Google Scholar
• Lidynia, C., Philipsen, R., & Ziefle, M. (2017). Droning on about drones – acceptance of and perceived barriers to drones in civil usage contexts (advances in human factors in robots and unmanned systems (pp. 317–329). Springer.
   Google Scholar
• Liljamo, T., Liimatainen, H., & Pöllänen, M. (2018). Attitudes and concerns on automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 59, 24–44. https://doi.org/10.1016/j.trf.2018.08.010
   Web of Science ®Google Scholar
• Lopez-Carreiro, I., Monzon, A., Lois, D., & Lopez-Lambas, M. E. (2021). Are travellers willing to adopt MaaS? Exploring attitudinal and personality factors in the case of Madrid, Spain. Travel Behaviour and Society, 25, 246–261. https://doi.org/10.1016/j.tbs.2021.07.011
   Web of Science ®Google Scholar
• Manfreda, A., Ljubi, K., & Groznik, A. (2019). Autonomous vehicles in the smart city era: An empirical study of adoption factors important for millennials. International Journal of Information Management, 58(2021), Article 102050. https://doi.org/10.1016/j.ijinfomgt.2019.102050
   PubMed Web of Science ®Google Scholar
• Matyas, M., & Kamargianni, M. (2019). The potential of mobility as a service bundles as a mobility management tool. Transportation, 46(5), 1951–1968. https://doi.org/10.1007/s11116-018-9913-4
   Web of Science ®Google Scholar
• Matyas, M., & Kamargianni, M. (2021). An empirical investigation on consumers’ intentions towards autonomous driving. Travel Behaviour and Society, 23, 143–156. https://doi.org/10.1016/j.tbs.2020.12.002
   Web of Science ®Google Scholar
• Nair, G. S., Astroza, S., Bhat, C. R., Khoeini, S., & Pendyala, R. M. (2018). An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles. Transportation, 45(6), 1623–1637. https://doi.org/10.1007/s11116-018-9945-9
   Web of Science ®Google Scholar
• Nazari, F., Noruzoliaee, M., & Mohammadian, A. K. (2018). Shared versus private mobility: Modeling public interest in autonomous vehicles accounting for latent attitudes. Transportation Research Part C: Emerging Technologies, 97, 456–477. https://doi.org/10.1016/j.trc.2018.11.005
   Web of Science ®Google Scholar
• Noyons, E. (2001). Bibliometric mapping of science in a policy context. Scientometrics, 50(1), 83–98. https://doi.org/10.1023/A:1005694202977
   Web of Science ®Google Scholar
• Office of Inspector General. (2016). Public perception of drone delivery in the US (No. RARC-WP-17-001. https://www.uspsoig.gov/sites/default/files/document-library-files/2016/RARC_WP-17-001.pdf
   Google Scholar
• Osswald, S., Wurhofer, D., Trösterer, S., Beck, E., & Tscheligi, M. (2012, Oct 17). Predicting information technology usage in the car: Towards a car technology acceptance model. Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications.
   Google Scholar
• Panagiotopoulos, I., & Dimitrakopoulos, G. (2018). An empirical investigation on consumers’ intentions towards autonomous driving. Transportation Research Part C: Emerging Technologies, 95, 773–784. https://doi.org/10.1016/j.trc.2018.08.013
   Web of Science ®Google Scholar
• Payre, 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.2014.04.009
   Web of Science ®Google Scholar
• Rahimi, A., Azimi, G., & Jin, X. (2020). Examining human attitudes toward shared mobility options and autonomous vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 72, 133–154. https://doi.org/10.1016/j.trf.2020.05.001
   Web of Science ®Google Scholar
• Reddy, L. B., & DeLaurentis, D. (2016). Opinion survey to reduce uncertainty in public and stakeholder perception of unmanned aircraft. Transportation Research Record, 2600(1), 80–93. https://doi.org/10.3141/2600-09
   Web of Science ®Google Scholar
• Ribeiro, M. A., Gursoy, D., & Chi, O. H. (2022). Customer acceptance of autonomous vehicles in travel and tourism. Journal of Travel Research, 61(3), 620–636. https://doi.org/10.1177/0047287521993578
   Web of Science ®Google Scholar
• Roche-Cerasi, I. (2019). Public acceptance of driverless shuttles in Norway. Transportation Research Part F: Traffic Psychology and Behaviour, 66, 162–183. https://doi.org/10.1016/j.trf.2019.09.002
   Web of Science ®Google Scholar
• Rogov, M., & Rozenblat, C. (2018). Urban resilience discourse analysis: Towards a multi-level approach to cities. Sustainability, 10(12), 4431. https://doi.org/10.3390/su10124431
   Web of Science ®Google Scholar
• Rosenfeld, A. (2019). Are drivers ready for traffic enforcement drones? Accident Analysis & Prevention, 122, 199–206. https://doi.org/10.1016/j.aap.2018.10.006
   PubMed Web of Science ®Google Scholar
• Ryan, J., Wretstrand, A., & Schmidt, S. M. (2015). Exploring public transport as an element of older persons’ mobility: A capability approach perspective. Journal of Transport Geography, 48, 105–114. https://doi.org/10.1016/j.jtrangeo.2015.08.016
   Web of Science ®Google Scholar
• SAE. (2021). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. https://www.sae.org/standards/content/j3016_202104/
   Google Scholar
• Said, M., Zajdela, E. R., & Stathopoulos, A. (2021). Accelerating the adoption of disruptive technologies: The impact of COVID-19 on intention to use self-driving vehicles. arXiv preprint arXiv:2108.01615.
   Google Scholar
• Schikofsky, J., Dannewald, T., & Kowald, M. (2020). Exploring motivational mechanisms behind the intention to adopt mobility as a service (MaaS): insights from Germany. Transportation Research Part A: Policy and Practice, 131, 296–312. https://doi.org/10.1016/j.tra.2019.09.022
   Web of Science ®Google Scholar
• Schoettle, B., & Sivak, M. (2014). A survey of public opinion about autonomous and self-driving vehicles in the US, the UK, and Australia. Report No. UMTRI-2014-21. University of Michigan Transportation Research Institute, Ann Arbor, 2014. http://deepblue.lib.umich.edu/bitstream/handle/2027.42/108384/103024.pdf?sequence=1&isAllowed=y.
   Google Scholar
• Sener, I. N., Zmud, J., & Williams, T. (2019). Measures of baseline intent to use automated vehicles: A case study of Texas cities. Transportation Research Part F: Traffic Psychology and Behaviour, 62, 66–77. https://doi.org/10.1016/j.trf.2018.12.014
   Web of Science ®Google Scholar
• Slowik, P., & Kamakaté, F. (2017). New mobility: Today’s technology and policy landscape. White Paper. International Council on Clean Transportation, Washington, DC.
   Google Scholar
• Tan, L. K. L., Lim, B. C., Park, G., Low, K. H., & Yeo, V. C. S. (2021). Public acceptance of drone applications in a highly urbanized environment. Technology in Society, 64, 101462. https://doi.org/10.1016/j.techsoc.2020.101462
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
   Web of Science ®Google Scholar
• Vij, A., Ryan, S., Sampson, S., & Harris, S. (2020). Consumer preferences for mobility-as-a-service (MaaS) in Australia. Transportation Research Part C: Emerging Technologies, 117, 102699. https://doi.org/10.1016/j.trc.2020.102699
   Web of Science ®Google Scholar
• Wang, X., Wong, Y. D., Li, K. X., & Yuen, K. F. (2020). This is not me! Technology-identity concerns in consumers’ acceptance of autonomous vehicle technology. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 345–360. https://doi.org/10.1016/j.trf.2020.06.005
   Web of Science ®Google Scholar
• Ye, J., Zheng, J., & Yi, F. (2020). A study on users’ willingness to accept mobility as a service based on UTAUT model. Technological Forecasting and Social Change, 157, 120066. https://doi.org/10.1016/j.techfore.2020.120066
   Web of Science ®Google Scholar
• Yigitcanlar, T., Wilson, M., & Kamruzzaman, M. (2019). Disruptive impacts of automated driving systems on the built environment and land use: An urban planner’s perspective. Journal of Open Innovation: Technology, Market, and Complexity, 5(2), 24. https://doi.org/10.3390/joitmc5020024
   Google Scholar
• Yoo, W., Yu, E., & Jung, J. (2018). Drone delivery: Factors affecting the public’s attitude and intention to adopt. Telematics and Informatics, 35(6), 1687–1700. https://doi.org/10.1016/j.tele.2018.04.014
   Web of Science ®Google Scholar
• Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2020a). Factors influencing autonomous vehicle adoption: An application of the technology acceptance model and innovation diffusion theory. Technology Analysis & Strategic Management, 1–15. https://doi.org/10.1080/09537325.2020.1826423
   Web of Science ®Google Scholar
• Yuen, K. F., Huyen, D. T. K., Wang, X., & Qi, G. (2020b). Factors influencing the adoption of shared autonomous vehicles. International Journal of Environmental Research and Public Health, 17(13), 4868. https://doi.org/10.3390/ijerph17134868
   PubMed Web of Science ®Google Scholar
• Yuen, K. F., Wong, Y. D., Ma, F., & Wang, X. (2020c). The determinants of public acceptance of autonomous vehicles: An innovation diffusion perspective. Journal of Cleaner Production, 270, 121904. https://doi.org/10.1016/j.jclepro.2020.121904
   Web of Science ®Google Scholar
• Zijlstra, T., Durand, A., Hoogendoorn-Lanser, S., & Harms, L. (2020). Early adopters of mobility-as-a-service in the Netherlands. Transport Policy, 97, 197–209. https://doi.org/10.1016/j.tranpol.2020.07.019
   Web of Science ®Google Scholar
• Zmud, J., Sener, I. N., & Wagner, J. (2016). Self-driving vehicles: Determinants of adoption and conditions of usage. Transportation Research Record, 2565(1), 57–64. https://doi.org/10.3141/2565-07
   Web of Science ®Google Scholar