[1] Canton, H., International energy agency—IEA, in The Europa Directory of International Organizations 2021. 2021, Routledge. p. 684-686.
[2] Henríquez, B.L.P., Energy sources for sustainable transportation and urban development. Transportation, Land Use, and Environmental Planning, 2020: p. 281-298.
[3] Lucken, E. and S. Shaheen, Incorporating Mobility-on-Demand (MOD) and Mobility-as-a-Service (MaaS) automotive services into public transportation, in Handbook of public transport research. 2021, Edward Elgar Publishing. p. 410-433.
[4] Rahimi, E., et al., Analysis of transit users’ waiting tolerance in response to unplanned service disruptions. Transportation Research Part D: Transport and Environment, 2019. 77: p. 639-653.
[5] Pignatta, G. and N. Balazadeh, Hybrid vehicles as a transition for full e-mobility achievement in positive energy districts: a comparative assessment of real-driving emissions. Energies, 2022. 15(8): p. 2760.
[6] Mohammadiha, A., H. Malakooti, and V. Esfahanian, Development of reduction scenarios for criteria air pollutants emission in Tehran Traffic Sector, Iran. Science of the Total Environment, 2018. 622: p. 17-28.
[7] Zhang, K., et al., Modeling acceptance of electric vehicle sharing based on theory of planned behavior. Sustainability, 2018. 10(12): p. 4686.
[8] Egbue, O. and S. Long, Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions. Energy policy, 2012. 48: p. 717-729.
[9] Pan, S., et al., Shared use of electric autonomous vehicles: Air quality and health impacts of future mobility in the United States. Renewable and Sustainable Energy Reviews, 2021. 149: p. 111380.
[10] Mahdavian, A., et al., Drivers and barriers to implementation of connected, automated, shared, and electric vehicles: An agenda for future research. IEEE Access, 2021. 9: p. 22195-22213.
[11] Ambrose, H., et al., Trends in life cycle greenhouse gas emissions of future light duty electric vehicles. Transportation Research Part D: Transport and Environment, 2020. 81: p. 102287.
[12] Liao, Z., M. Taiebat, and M. Xu, Shared autonomous electric vehicle fleets with vehicle-to-grid capability: Economic viability and environmental co-benefits. Applied Energy, 2021. 302: p. 117500.
[13] Hossain, M.S., et al., A comprehensive review on the integration of electric vehicles for sustainable development. Journal of Advanced Transportation, 2022. 2022(1): p. 3868388.
[14] Curtale, R., F. Liao, and P. van der Waerden, User acceptance of electric car-sharing services: The case of the Netherlands. Transportation Research Part A: Policy and Practice, 2021. 149: p. 266-282.
[15] Peng, M., L. Liu, and C. Jiang, A review on the economic dispatch and risk management of the large-scale plug-in electric vehicles (PHEVs)-penetrated power systems. Renewable and Sustainable Energy Reviews, 2012. 16(3): p. 1508-1515.
[16] Li, S., et al., The market for electric vehicles: indirect network effects and policy design. Journal of the Association of Environmental and Resource Economists, 2017. 4(1): p. 89-133.
[17] Shaheen, S.A. and A.P. Cohen, Growth in worldwide carsharing: An international comparison. Transportation Research Record, 2007. 1992(1): p. 81-89.
[18] Wang, D. and F. Liao, Analysis of first-come-first-served mechanisms in one-way car-sharing services. Transportation research part B: methodological, 2021. 147: p. 22-41.
[19] Le Vine, S. and J. Polak, The impact of free-floating carsharing on car ownership: Early-stage findings from London. Transport Policy, 2019. 75: p. 119-127.
[20] Clewlow, R.R., Carsharing and sustainable travel behavior: Results from the San Francisco Bay Area. Transport Policy, 2016. 51: p. 158-164.
[21] Davis, F.D., R. Bagozzi, and P. Warshaw, Technology acceptance model. J Manag Sci, 1989. 35(8): p. 982-1003.
[22] Marangunić, N. and A. Granić, Technology acceptance model: a literature review from 1986 to 2013. Universal access in the information society, 2015. 14: p. 81-95.
[23] Ajzen, I., The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 1991.
[24] Venkatesh, V., et al., User acceptance of information technology: Toward a unified view. MIS quarterly, 2003: p. 425-478.
[25] Venkatesh, V., J.Y. Thong, and X. Xu, Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 2012: p. 157-178.
[26] Zhang, Q., et al., Factors influencing the economics of public charging infrastructures for EV–A review. Renewable and Sustainable Energy Reviews, 2018. 94: p. 500-509.
[27] Schlüter, J. and J. Weyer, Car sharing as a means to raise acceptance of electric vehicles: An empirical study on regime change in automobility. Transportation Research Part F: Traffic Psychology and Behaviour, 2019. 60: p. 185-201.
[28] Tran, V., et al., Travelers’ acceptance of electric carsharing systems in developing countries: the case of China. Sustainability, 2019. 11(19): p. 5348.
[29] Hu, J.-W., A. Javaid, and F. Creutzig, Leverage points for accelerating adoption of shared electric cars: Perceived benefits and environmental impact of NEVs. Energy Policy, 2021. 155: p. 112349.
[30] Silberer, J., et al., Acceptance of Electric Car Sharing in Rural Areas. Journal of Advanced Transportation, 2022. 2022(1): p. 1960488.
[31] Axsen, J. and B.K. Sovacool, The roles of users in electric, shared and automated mobility transitions. Transportation Research Part D: Transport and Environment, 2019. 71: p. 1-21.
[32] Shen, D., et al., Social influence for perceived usefulness and ease-of-use of course delivery systems. Journal of Interactive Online Learning, 2006. 5(3): p. 270-282.
[33]Turan, B., et al., Transition towards sustainable mobility: the role of transport optimization. Central European Journal of Operations Research, 2024. 32(2): p. 435-456.
[34] Loengbudnark, W., et al., Battery and hydrogen-based electric vehicle adoption: A survey of Australian consumers perspective. Case Studies on Transport Policy, 2022. 10(4): p. 2451-2463.
[35] Higueras-Castillo, E., et al., Factors affecting adoption intention of electric vehicle: a cross-cultural study. Environment, Development and Sustainability, 2023: p. 1-37.
[36] Rebelo, F., et al. Acceptance of Autonomous Electric Vehicles as a Collective Passenger Transport: The Case of Portugal. in International Conference on Human-Computer Interaction. 2023. Springer.
[37] Madigan, R., et al., 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, 2017. 50: p. 55-64.
[38] Wang, S., J. Li, and D. Zhao, The impact of policy measures on consumer intention to adopt electric vehicles: Evidence from China. Transportation Research Part A: Policy and Practice, 2017. 105: p. 14-26.
[39] Company, N.I.O.R.a.D., www.niordc.ir. 2018.
[40] Jebb, A.T., V. Ng, and L. Tay, A review of key Likert scale development advances: 1995–2019. Frontiers in psychology, 2021. 12: p. 637547.
[41] Hair Jr, J.F., B.J. Babin, and N. Krey, Covariance-based structural equation modeling in the Journal of Advertising: Review and recommendations. Journal of Advertising, 2017. 46(1): p. 163-177.
[42] Hoyle, R.H., Handbook of structural equation modeling. 2012: Guilford press.
[43] Bollen, K.A., Structural equations with latent variables. 2014: John Wiley & Sons.
[44] Hair, J.F., et al., Multivariate Data Analysis New Jersey. 2010, Pearson Education London, UK.
[45] Hair, J.F., et al., Multivariate data analysis 6th Edition. 2006, Pearson Prentice Hall. New Jersey. humans: Critique and reformulation ….
[46] Kline, R.B., Principles and practice of structural equation modeling. 2023: Guilford publications.
[47] Nunnally, J.C., Psychometric theory—25 years ago and now. Educational Researcher, 1975. 4(10): p. 7-21.
[48]Taber, K.S., The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in science education, 2018. 48: p. 1273-1296.
[49] Mustafa, S., W. Zhang, and R. Li. Does environmental awareness play a role in EV adoption? A value-based adoption model analysis with SEM-ANN approach. in IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. 2021.
[50] Abbasi, H.A., et al., Consumer motivation by using unified theory of acceptance and use of technology towards electric vehicles. Sustainability, 2021. 13(21): p. 12177.
[51] Curtale, R. and F. Liao, User acceptance of one-way off-street Electric Car-Sharing services. 2020.
[52] Jain, N.K., K. Bhaskar, and S. Jain, What drives adoption intention of electric vehicles in India? An integrated UTAUT model with environmental concerns, perceived risk and government support. Research in Transportation Business & Management, 2022. 42: p. 100730.
[53] Wang, N., L. Tang, and H. Pan, Effectiveness of policy incentives on electric vehicle acceptance in China: A discrete choice analysis. Transportation Research Part A: Policy and Practice, 2017. 105: p. 210-218.
[54] LI, H., R. Welsh, and A. Morris, Exploring pathways to negate safety concerns and improve public acceptance of alternative fuelled electric vehicles. WIT Transactions on The Built Environment, 2019. 182: p. 105-110.
[55] Sundarakani, B., H.-S. Rajamani, and A. Madmoune, Sustainability study of electric vehicles performance in the UAE: moderated by blockchain. Benchmarking: An International Journal, 2024. 31(1): p. 199-219.
[56] Rezvani, Z., J. Jansson, and M. Bengtsson, Consumer motivations for sustainable consumption: The interaction of gain, normative and hedonic motivations on electric vehicle adoption. Business Strategy and the Environment, 2018. 27(8): p. 1272-1283.
[57] Zhou, M., et al., Characterizing the motivational mechanism behind taxi driver’s adoption of electric vehicles for living: Insights from China. Transportation Research Part A: Policy and Practice, 2021. 144: p. 134-152.
[58] Wheaton, B., et al., Assessing reliability and stability in panel models. Sociological methodology, 1977. 8: p. 84-136.
[59] Bollen, K.A., Overall fit in covariance structure models: Two types of sample size effects. Psychological bulletin, 1990. 107(2): p. 256.
[60] Tabachnick, B. and L. Fidell, Using multivariate statistics. 5th ed2007. Boston, MA, 2007.
[61]Cucos, L., How to interpret model fit results in AMOS. Retrieved March, 2022. 11: p. 2022.
[62] MacCallum, R.C., M.W. Browne, and H.M. Sugawara, Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1996. 1(2): p. 130.
[63] Bentler, P.M. and D.G. Bonett, Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 1980. 88(3): p. 588.
[64] Li, H., R. Welsh, and A. Morris, The influence of driver’s psychological states on the safety perception of hydrogen electric vehicles. International Journal of Transport Development and Integration, 2019. 3(3): p. 207-221.
[65] Wang, J., et al., Trust in range estimation system in battery electric vehicles–A mixed approach. IEEE Transactions on Human-Machine Systems, 2024.
[66] Axsen, J., C. Orlebar, and S. Skippon, Social influence and consumer preference formation for pro-environmental technology: The case of a UK workplace electric-vehicle study. Ecological Economics, 2013. 95: p. 96-107.
[67] Kim, J., S. Rasouli, and H. Timmermans, Expanding scope of hybrid choice models allowing for mixture of social influences and latent attitudes: Application to intended purchase of electric cars. Transportation research part A: policy and practice, 2014. 69: p. 71-85.
[68] Mohiuddin, M., et al., Environmental knowledge, awareness, and business school students’ intentions to purchase green vehicles in emerging countries. Sustainability, 2018. 10(5): p. 1534.
[69] Mustafa, S., et al., Role of environmental awareness & self-identification expressiveness in electric-vehicle adoption. Transportation, 2024: p. 1-25.
[70] Fu, X., Understanding the adoption intention for electric vehicles: The role of hedonic-utilitarian values. Energy, 2024. 301: p. 131703.
[71] Wang, S., et al., Exploring the Role of Attitudinal Factors in Electric Vehicle Timeshare Rentals Adoption. Applied Sciences, 2022. 13(1): p. 12.
[72] Li, W., et al., The impact of social conformity on adopting decision of shared electric vehicles: a choice experiment analysis in China. International journal of environmental research and public health, 2022. 19(4): p. 1955.
[73] Luna, T.F., et al., The influence of e-carsharing schemes on electric vehicle adoption and carbon emissions: An emerging economy study. Transportation Research Part D: Transport and Environment, 2020. 79: p. 102226.
[74] Sierzchula, W., et al., The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy policy, 2014. 68: p. 183-194.
[75] Guo, P., et al., Incentive-based customer-oriented rebalancing strategy for one-way shared electric vehicles in sustainable urban governance. Journal of Cleaner Production, 2024. 469: p. 143192.
[76] Javanbakht, N., & Mirbaha, B. (2024). Evaluating Drivers’ Response to Road Hazard: A Simulation Study. Advances in Civil Engineering, 2024(1), 6788857.
[77] Javanbakht, N., & Mirbaha, B. (2023). A MODEL FOR EVALUATING DRIVERS'MEAN SPEED: USING PSYCHOLOGICAL AND DRIVING SIMULATOR DATA. Numerical Methods in Civil Engineering, 8(2), 48-55.
