A Review and Analysis of Factors Affecting EV Adoption for Sustainable and Energy-Efficient Transportation Systems using Analytic Hierarchy Process Approach

被引:0
作者
Pant M. [1 ]
Sharma A. [1 ]
Palli S. [2 ]
Sharma S.K. [3 ,4 ]
Sharma R.C. [5 ]
机构
[1] School of Management, Graphic Era Hill University, Uttarakhand, Dehradun
[2] Dept. of Mech. Engg, Aditya Institute of Tech. and Management, Andhra Pradesh, Tekkali
[3] School of Engg. & Applied Sci, Gati Shakti Vishwavidyalaya, Gujarat, Vadodara
[4] “Friedrich List” Faculty of Transportation and Traffic Sci, Technical University, Dresden
[5] Dept. of Mech. Engg, Graphic Era (Deemed to be University), Uttarakhand, Dehradun
关键词
Analytic hierarchy process; Charging infrastructure; Government incentives; Range; Sustainability;
D O I
10.4273/ijvss.16.2.01
中图分类号
学科分类号
摘要
The objective of the work is to identify the key factors that affect the slow adoption of Electric Vehicles (EV's) using the Analytic Hierarchy Process (AHP) approach. The data was collected first from a self-administered questionnaire focused on the four dimensions, i.e. cost, range, charging infrastructure and government incentives from 194 respondents. The result obtained was then used to rank the first and second factors out of 4 identified earlier from a robust systematic literature review. The four factors and ranking were tested by conducting a focus group interview with 6 experts and the results were then matched. Finally, AHP was employed and it is found that the cost and range are still the major obstacles. Manufacturers and governments can incorporate these results to work on reducing costs and adopting cutting-edge technologies to increase battery range. © 2024. Carbon Magics Ltd.
引用
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页码:133 / 139
页数:6
相关论文
共 37 条
[1]  
Palli S., Koona R., Sharma S.K., Sharma R.C., A review on dynamic analysis of rail vehicle coach, Int. J. Vehicle Structures & Systems, 10, 3, pp. 204-211, (2018)
[2]  
Sharma S., Sharma R., An investigation of a locomotive structural crashworthiness using finite element simulation, SAE Int. J. Commer. Veh, 11, 4, pp. 235-243, (2018)
[3]  
Berman B., West T., Brooker A., Analysis of lifetime costs of electric and gasoline vehicles, J. Cleaner Production, 229, pp. 1188-1200, (2019)
[4]  
Schafer A., Jakobsson N., Nykvist B., Lofgren S., Total cost of ownership and market share for hybrid and electric vehicles in Europe, Transportation Research Part A: Policy and Practice, 139, pp. 149-166, (2020)
[5]  
Sierzchula W., Bakker S., Maat K., The influence of financial incentives and other socio-economic factors on electric vehicle adoption, Energy Policy, 68, pp. 183-194, (2014)
[6]  
Zhan Q., Sun X., Liu Y., Predicting the adoption of electric vehicles: An empirical study in China, Tech, Forecasting and Social Change, 135, pp. 186-195, (2018)
[7]  
Fulton L.M., Rai V., West T., Policy options to support electric vehicle adoption in the United States: A review of the literature, Renewable and Sustainable Energy Reviews, 134, (2020)
[8]  
Li Y., Liu X., Chen Q., Wang Y., Cost competitiveness analysis of electric buses compared with diesel buses in China, J. Cleaner Production, 315, (2021)
[9]  
Alvarez M.T.G., Carvajal P., Echeverri L.G., Total cost of ownership and payback period of electric and hybrid electric commercial vehicles in the United States, Transportation Research Part D: Transport and Environment, 89, (2020)
[10]  
Turrentine T., Kurani K., Why people buy plug-in electric cars: Income, purchase incentives and family size, Transportation Research Part D: Transport and Environment, 62, pp. 157-171, (2018)