Analyzing barriers to the adoption and development of electric vehicles: A roadmap towards sustainable transportation system

被引:3
|
作者
Zhang, Hong [1 ]
Irfan, Muhammad [2 ,3 ,4 ,5 ,6 ]
Ai, Fengyi [7 ]
Al-Aiban, Khalid M. [8 ]
Abbas, Shujaat [9 ]
机构
[1] Jinggangshan Univ, Sch Business, Jian 343009, Peoples R China
[2] Shandong Management Univ, Business Sch, Jinan 250357, Peoples R China
[3] Azerbaijan State Univ Econ UNEC, European Ctr Econ, Istiqlaliyyat Str 6, Baku, Azerbaijan
[4] Western Caspian Univ, Dept Econ & Business, Baku 1001, Azerbaijan
[5] European Univ Lefke, Adv Res Ctr, TR-10, Northern Cyprus, Mersin, Turkiye
[6] ILMA Univ, Sch Business Adm, Karachi 75190, Pakistan
[7] Beijing Inst Technol, Sch Management, Beijing 100081, Peoples R China
[8] King Saud Univ, Coll Business Adm, Dept Publ Adm, POB 71115, Riyadh 11587, Saudi Arabia
[9] Ural Fed Univ, Grad Sch Econ & Management, Ekaterinburg, Russia
关键词
Renewable energy; Electric vehicles; Barriers; Sustainable urban transportation systems; Modified delphi method; FUEL-CELL VEHICLES; WIDESPREAD ADOPTION; CONSUMER ATTITUDES; DECISION-MAKING; EARLY ADOPTERS; RANGE ANXIETY; POLICY; DEPLOYMENT; DRIVERS; FLEET;
D O I
10.1016/j.renene.2024.121136
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Electric vehicles (EVs) are positioned as an alternate green energy technology, which potentially can enable the efficient transition to sustainable low-carbon emission transportation systems. However, different barriers hamper the public adoption of EVs. The degree to which these barriers prevent the adoption of EVs and the potential alternatives to these barriers are mostly unknown. To fill this research gap, the current study contributes by systematically identifying those barriers based on their importance. Initially, several barriers were identified using existing literature, and then by employing the modified Delphi method, a total of twenty-five barriers were classified into five significant dimensions. The Analytical Hierarchical Process (AHP) determined the rankings of these barriers based on weight allocation. As a next step, the Grey Technique for Order Preference by Similarity to Ideal Solution (G-TOPSIS) ranked alternative solutions to these barriers. The findings indicate that 'technological barrier' is the top-ranked barrier among all major dimensions. The overall ranking indicated that 'battery technology' is most influential among sub-dimensions. It is recommended that "investment in research and development" is the best alternative to overcome these barriers. In order to improve the renewable and sustainable urban transportation system, all stakeholders should cooperate in a consistent and coherent manner.
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页数:15
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