Autonomous vehicles (AVs) in tourism – technology acceptance from the tourists’ perspective
DOI:
https://doi.org/10.14267/TURBULL.2022v22n4.1Keywords:
automation, autonomous vehicles (AVs), technology acceptance, systematic literature review, covariance-based structural equation modelling (CB-SEM)Abstract
Autonomous vehicles (AVs) could radically transform transport and tourism in the near future. As the technology spreads, consumer expectations may also change, which could lead to different decision being made. In this paper, an expanding of technology acceptance models is presented, highlighting the potential of AVs for tourism. The research involved online data collection (n=646), and the covariance-based structural equations modelling (CB-SEM) analysis method has been used to create the model. Based on the analysis, we have constructed a model that, in contrast to previous research, examines the applicability of AVs from the perspective of tourism. The new model suggests that the usability of AVs for tourism and the unusual travel environment have a positive, while the adherence to conventional vehicle use has a negative effect on the intention to use AVs.
References
ÁSVÁNYI K. – JUHÁSZ-DÓRA K. – JÁSZBERÉNYI M. – MICHALKÓ G. (2017): Literature review of renewable energy in the tourism industry. Journal of Environmental Management & Tourism. 8(2). pp. 476–491. https://doi.org/10.14505//jemt.v8.2(18).21
BROWN, T. A. (2015): Confirmatory Factor Analysis for Applied Research. New York, NY: Guilford Press.
BUCKLEY, L. – KAYE, S. A. – PRADHAN, A. K. (2018): Psychosocial factors associated with intended use of automated vehicles: A simulated driving study. Accident Analysis & Prevention. 115. pp. 202–208. https://doi.org/10.1016/j.aap.2018.03.021
CERVERO, R. – KOCKELMAN, K. (1997): Travel demand and the 3Ds: Density, diversity, and design. Transportation research part D: Transport and environment. 2(3). pp. 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6
CHEN, C. F. (2019): Factors affecting the decision to use autonomous shuttle services: Evidence from a scooter-dominant urban context. Transportation Research Part F: Traffic Psychology and Behaviour. 67. pp. 195–204. https://doi.org/10.1016/j.trf.2019.10.016
CHIN, W. W. (1998): The partial least squares approach to structural equation modeling. In: Marcoulides, G. A. (ed): Modern Methods for Business Research. Psychology Press, New York. pp. 295–336. https://doi.org/10.4324/9781410604385
COHEN, S. A. – HOPKINS, D. (2019): Autonomous vehicles and the future of urban tourism. Annals of Tourism Research. 74. pp. 33–42. https://doi. org/10.1016/j.annals.2018.10.009
CSERDI ZS. – KENESEI ZS. (2021): Az okos hotelekhez kapcsolódó attitűdöket befolyásoló tényezők nyomában: fókuszban a Z generáció. Turizmus Bulletin. 21(4). pp. 25–33. https://doi.org/10.14267/TURBULL.2021v21n4.3
DAVIS, F. D. (1986): A technology acceptance model for empirically testing new end-user information systems: Theory and results. Cambridge, MA: Massachusetts Institute of Technology.
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
DIXON, G. – HART, P. S. – CLARKE, C. – O’DONNELL, N. H. – HMIELOWSKI, J. (2020): What drives support for self-driving car technology in the United States? Journal of Risk Research. 23(3). pp. 275–287. https://doi.org/10.1080/13669877.2018.1517384
DRAGAN, D. – TOPOLŠEK, D. (2014): Introduction to structural equation modeling: review, methodology and practical applications. The 11th International Conference on Logistics and Sustainable Transport. 19–21 June 2014, Celje, Slovenia. pp. 1–27. Slovenia: University of Maribor, Faculty of Logistics.
DU, H. – ZHU, G. – ZHENG, J. (2021): Why travelers trust and accept self-driving cars: an empirical study. Travel Behaviour and Society. 22. pp. 1–9. https://doi.org/10.1016/j.tbs.2020.06.012
FALK, R. F. – MILLER, N. B. (1992): A Primer for Soft Modeling. Akron, OH: University of Akron Press.
GASKIN, C. J. – HAPPELL, B. (2014): On exploratory factor analysis: A review of recent evidence, an assessment of current practice, and recommendations for future use. International Journal of Nursing Studies. 51. pp. 511–521. https://doi.org/10.1016/j.ijnurstu.2013.10.005
HAIR, J. F. – CELSI, M. – ORTINAU, D. J. – BUSH, R. P. (2010): Essentials of Marketing Research. (Vol. 2). New York, NY: McGraw-Hill/Irwin.
HARRINGTON, D. (2009): Confirmatory Factor Analysis. New York, NY: Oxford University Press.
HESS, P. M. – VERNEZ MOUDON, A. – CATHERINE SNYDER, M. – STANILOV, K. (1999): Site design and pedestrian travel. Transportation Research Record. 1674(1). pp. 9–19. https://doi.org/10.3141/1674-02
HULSE, L. M. – XIE, H. – GALEA, E. R. (2018): Perceptions of autonomous vehicles: Relationships with road users, risk, gender, and age. Safety Science. 102. pp. 1–13. https://doi.org/10.1016/j.ssci.2017.10.001
IVANOV, S. H. – WEBSTER, C. (2017): Adoption of robots, artificial intelligence and service automation by travel, tourism, and hospitality companies – a cost-benefit analysis. International Scientific Conference “Contemporary Tourism – Traditions and Innovations. Bulgaria: Sofia University.
JARRELL, M. G. (1992): A comparison of two procedures, the Mahalanobis distance and the Andrews-Pregibon statistic, for identifying multivariate outliers.
JÁSZBERÉNYI M. – KOTOSZ B. (2009): Közlekedési szokások vizsgálata Budapest délnyugati agglomerációjában. Statisztikai Szemle. 87(2). pp.
-190.
JÁSZBERÉNYI M. – PÁLFALVI J. (2006): Közlekedés a gazdaságban. Aula Kiadó, Budapest.
KARNOUSKOS, S. (2020): The role of utilitarianism, self-safety, and technology in the acceptance of self-driving cars. Cognition, Technology & Work. pp. 1–9. https://doi.org/10.1007/s10111-020-00649-6
KELLERMAN, A. (2018): Automated and Autonomous Spatial Mobilities. Cheltenham – Northampton, MA: Edward Elgar Publishing.
KESZEY, T. (2020): Behavioural intention to use autonomous vehicles: Systematic review and empirical extension. Transportation Research Part C: Emerging Technologies. 119. 102732. https://doi.org/10.1016/j.trc.2020.102732
KLINE, R. B. (2015): Principles and Practice of Structural Equation Modeling. 4th edition. New York, NY – London: Guilford Press.
KOUL, S. – EYDGAHI, A. (2018): Utilizing technology acceptance model (TAM) for driverless car technology adoption. Journal of Technology Management & Innovation. 13(4). pp. 37–46. http://dx.doi.org/10.4067/S0718-27242018000400037
LEE, J. – LEE, D. – PARK, Y. – LEE, S. – HA, T. (2019): Autonomous vehicles can be shared, but a feeling of ownership is important: Examination of the influential factors for intention to use autonomous vehicles. Transportation Research Part C: Emerging Technologies. 107. pp. 411–422. https://doi.org/10.1016/j.trc.2019.08.020
LEICHT, T. – CHTOUROU, A. – YOUSSEF, K. B. (2018). Consumer innovativeness and intentioned autonomous car adoption. The Journal of High Technology Management Research. 29(1). pp. 1–11. https://doi.org/10.1016/j.hitech.2018.04.001
LEVINSON, H. S. – WYNN, F. H. (1963): Effects of density on urban transportation requirements. Highway Research Record. 1963(2). pp. 38–64.
LILJAMO, T. – LIIMATAINEN, H. – PÖLLÄNEN, M. (2018): Attitudes and concerns on automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour. 59. pp. 24–44. https://doi.org/10.1016/j.trf.2018.08.010
MEURS, H. – HAAIJER, R. (2001): Spatial structure and mobility. Transportation Research Part D: Transport and Environment. 6(6). pp. 429–446. https://doi.org/10.1016/S1361-9209(01)00007-4
MISKOLCZI, M. – FÖLDES, D. – MUNKÁCSY, A. – JÁSZBERÉNYI, M. (2021): Urban mobility scenarios until the 2030s. Sustainable Cities and Society. 72. 103029. https://doi.org/10.1016/j.scs.2021.103029
PAGE, M. J. – McKENZIE, J. E. – BOSSUYT, P. M. et al. (2021): The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Systematic Reviews 10(89). https://doi.org/10.1186/s13643-021-01626-4
PANAGIOTOPOULOS, I. – DIMITRAKOPOULOS, G. (2018): An empirical investigation on consumers’ intentions towards autonomous driving. Transportation Research Part C: Emerging Technologies. 95. pp. 773–784. https://doi.org/10.1016/j.trc.2018.08.013
PINKE-SZIVA I. – KELLER K. (2021): Okos turizmus és okos rendezvények vizsgálata a Székesfehérvári Királyi Napok tükrében. Turizmus Bulletin. 21(2). pp. 34–42. https://doi.org/10.14267/TURBULL.2021v21n2.4
POTOGLOU, D. – KANAROGLOU, P. S. (2008): Modelling car ownership in urban areas: a case study of Hamilton, Canada. Journal of Transport Geography. 16(1). pp. 42–54. https://doi.org/10.1016/j.jtrangeo.2007.01.006
PRIDEAUX, B. – YIN, P. (2019): The disruptive potential of autonomous vehicles (AVs) on future low-carbon tourism mobility. Asia Pacific Journal of Tourism Research. 24(5). pp. 459–467. https://doi.org/10.1080/10941665.2019.1588138
RIBEIRO, M. A. – GURSOY, D. – CHI, O. H. (2021): Customer Acceptance of Autonomous Vehicles in Travel and Tourism. Journal of Travel Research. 0047287521993578. https://doi.org/10.1177/0047287521993578
RÖDEL, C. – STADLER, S. – MESCHTSCHERJAKOV, A. – TSCHELIGI, M. (2014): Towards autonomous cars: The effect of autonomy levels on acceptance and user experience. AutomotiveUI ‘14: Proceedings of the 6th international conference on automotive user interfaces and interactive vehicular applications. pp. 1–8. https://doi.org/10.1145/2667317.2667330
SYAHRIVAR, J. – GYULAVÁRI, T. – JÁSZBERÉNYI, M. – ÁSVÁNYI, K. – KÖKÉNY, L. – CHAIRY, C. (2021): Surrendering personal control to automation: Appalling or appealing? Transportation Research Part F: Traffic Psychology and Behaviour. 80. pp. 90–103. https://doi.org/10.1016/j.trf.2021.03.018
TAN, W. K. – LIN, C. Y. (2020): Driverless car rental at tourist destinations: From the tourists’ perspective. Asia Pacific Journal of Tourism Research. 25(11). pp. 1153–1167. https://doi.org/10.1080/10941665.2020.1825007
TUSSYADIAH, I. P. – ZACH, F. J. – WANG, J. (2017): Attitudes toward autonomous on demand mobility system: The case of selfdriving taxi. In: Schegg, R. – Stangl, B. (eds): Information and communication technologies in tourism 2017. Cham: Springer. pp. 755–766. https://10.1007/978-3-319-51168-9_54
VENKATESH, V. – BALA, H. (2008): Technology acceptance model 3 and a research agenda on interventions. Decision Sciences. 39(2). pp. 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
VENKATESH, V. – DAVIS, F. D. (2000): A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science. 46(2). pp. 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
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). pp. 425–478. https://doi.org/10.2307/30036540
VENKATESH, V. – THONG, J. Y. – XU, X. (2012): Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly. 36(1). pp. 157–178. https://doi.org/10.2307/41410412
WESTLAND, J. C. (2010): Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications. 9(6). pp. 476–487. https://doi.org/10.1016/j.elerap.2010.07.003
XU, Z. – ZHANG, K. – MIN, H. – WANG, Z. – ZHAO, X. – LIU, P. (2018): What drives people to accept automated vehicles? Findings from a field experiment. Transportation Research Part C: Emerging Technologies. 95. pp. 320–334. https://doi.org/10.1016/j.trc.2018.07.024
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 & Strategic Management. 33(5). pp. 505–519. https://doi.org/10.1080/09537325.2020.1826423
ZHANG, T. – TAO, D. – QU, X. – ZHANG, X. – LIN, R. – ZHANG, W. (2019): The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation Research Part C: Emerging Technologies. 98. pp. 207–220. https://doi.org/10.1016/j.trc.2018.11.018
ZHU, G. – CHEN, Y. – ZHENG, J. (2020): Modelling the acceptance of fully autonomous vehicles: a media-based perception and adoption model. Transportation Research Part F: Traffic Psychology and Behaviour. 73. pp. 80–91. https://doi.org/10.1016/j.trf.2020.06.004
Internetes források
SAE INTERNATIONAL (2018). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. https://www.sae.org/standards/content/j3016_201806/, Letöltve: 2022. január 5.
SOPER, D. S. (2021): A-priori Sample Size Calculator for Structural Equation Models. https://www. danielsoper.com/statcalc, Letöltve: 2022. január 5.
