Document Type : Original Article
Authors
1 Ph.D., Graduate, Faculty of Civil & Environmental Engineering, Tarbiat Modares University, Tehran, Iran.
2 Associate Professor, Faculty of Civil & Environmental Engineering, Tarbiat Modares University, Tehran, Iran.
Abstract
Keywords
Main Subjects
-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, Vol. 62, pp. 349-375. |
-Anderson, J. M., Nidhi, K., Stanley, K. D., Sorensen, P., Samaras, C., & Oluwatola, O. A., (2014), “Autonomous vehicle technology: A guide for policymakers: Rand Corporation”.
|
-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, Vol. 115, pp. 202-208.
|
-Cheein, F. A. A., De La Cruz, C., Bastos, T. F., & Carelli, R., (2009), ”Slam-based cross-a-door solution approach for a robotic wheelchair”, International Journal of Advanced Robotic Systems, Vol. 6(3), pp. 20- 32. |
-Choi, J. K., & Ji, Y. G., (2015), “Investigating the importance of trust on adopting an autonomous vehicle”, International Journal of Human-Computer Interaction, Vol. 31(10), pp. 692-702.
|
-Engelberg, J. K., Hill, L. L., Rybar, J., & Styer, T., (2015), “Distracted driving behaviors related to cell phone use among middle-aged adults”, Journal of Transport & Health,Vol. 2(3), pp. 434-440.
|
-Ghaffari Targhi, M., (2017), “Factors Influencing the Use of Autonomous and Shared Autonomous Vehicles in Alberta”, Graduate Studies.
|
-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, Vol. 98, pp. 323-337.
|
-Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R., (2006), “Multivariate data analysis”, Uppersaddle River: NJ: Pearson Prentice Hall.
|
-Hancock, G. R., Stapleton, L. M., & Mueller, R. O., (2018), “The reviewer’s guide to quantitative methods in the social sciences”, Routledge.
|
-Harst, L., Lantzsch, H., & Scheibe, M., (2019), “Theories predicting end-user acceptance of telemedicine use: systematic review”, Journal of medical Internet research, Vol. 21(5), pp. 131-152.
|
-Ingeveld, M., (2017), “Usage intention of automated vehicles amongst elderly in the Netherlands”.
|
-Jaccard, J., Wan, C. K., & Jaccard, J., (1996), “LISREL approaches to interaction effects in multiple regression: sage”.
|
-Jing, P., Xu, G., Chen, Y., Shi, Y., & Zhan, F., (2020), “The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review”, Sustainability, Vol. 12(5), pp. 120-142.
|
-Kline, R. B., (2011), “Convergence of structural equation modeling and multilevel modeling”.
|
-Kulviwat, S., Bruner II, G. C., & Al-Shuridah, O., (2009), “The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption”, Journal of business research, Vol. 62(7), pp. 706-712.
|
-Laroche, M., Yang, Z., McDougall, G. H., & Bergeron, J., (2005), “Internet versus bricks-and-mortar retailers: An investigation into intangibility and its consequences”, Journal of retailing, Vol. 81(4), pp. 251-267. |
-Leicht, T., Chtourou, A., & Youssef, K. B., (2018), “Consumer innovativeness and intentioned autonomous car adoption”, The Journal of High Technology Management Research, Vol. 29(1), pp. 1-11.
|
-Liu, H., Yang, R., Wang, L., & Liu, P. (2019), “Evaluating initial public acceptance of highly and fully autonomous vehicles”, International Journal of Human–Computer Interaction, Vol. 35(11), pp. 919-931. |
-Madigan, R., Louw, T., Wilbrink, M., Schieben, A., & Merat, N., (2017), “What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems”, Transportation research part F: traffic psychology and behaviour, Vol. 50, pp. 55-64.
-Morando, 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.
|
-Panagiotopoulos, I., & Dimitrakopoulos, G., (2018), “An empirical investigation on consumers’ intentions towards autonomous driving”, Transportation Research Part C: Emerging Technologies, Vol. 95, pp. 773-784. |
-Ram, S., & Sheth, J. N., (1989), “Consumer resistance to innovations: the marketing problem and its solutions”, Journal of Consumer Marketing.
|
-Schierz, P. G., Schilke, O., & Wirtz, B. W., (2010), “Understanding consumer acceptance of mobile payment services: An empirical analysis”, Electronic commerce research and applications, Vol. 9(3), pp. 209-216. |
-Schoettle, B., & Sivak, M., (2014), “A survey of public opinion about autonomous and self-driving vehicles in the US, the UK, and Australia”.
|
-Solbraa Bay, A. J. T., (2016), “Innovation adoption in robotics: consumer intentions to use autonomous vehicles”.
|
-Taherdoost, H., (2018), “A review of technology acceptance and adoption models and theories”, Procedia manufacturing, Vol. 22, pp. 960-967.
-Taherdoost, H., (2019), “Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies”, Global Journal of Engineering Sciences.
|
-Thierer, A., (2013), “Technopanics, threat inflation, and the danger of an information technology precautionary principle”, Minn. JL Sci. & Tech., 14, 309.
|
-Thierer, A., & Hagemann, R., (2015), “Removing roadblocks to intelligent vehicles and driverless cars”, Wake Forest JL & Pol'y, Vol. 5, pp. 339-360.
|
-Veiga, J. F., Floyd, S., & Dechant, K., (2001), “Towards modelling the effects of national culture on IT implementation and acceptance”, Journal of Information technology, Vol. 16(3), pp. 145-158.
|
-Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D., (2003), “User acceptance of information technology: Toward a unified view”, MIS quarterly.
|
-Wang, J., & Wang, X., (2019), “Structural equation modeling: Applications using Mplus: John Wiley & Sons”
|
-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, Vol. 98, pp. 207-220.
|
-Zmud, J., Sener, I. N., & Wagner, J., (2016), “Consumer acceptance and travel behavior: impacts of automated vehicles”.
|