Modelling the enablers for adoption of electric vehicles in India

被引:2
作者
Gupta, Anshu [1 ]
Garg, Ananya [1 ]
机构
[1] Dr BR Ambedkar Univ Delhi, Sch Business Publ Policy & Social Entrepreneurshi, Delhi, India
关键词
Electric mobility; Electric vehicles; Sustainable transportation; Drivers for adoption; India; Interpretive structural modeling; CONSUMER PREFERENCES; MOBILITY; BARRIERS; DEMAND; CITIES; US;
D O I
10.1007/s13198-022-01687-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Environmental sustainability is one of the biggest challenge faced by humankind in the present times. It is much bigger for the countries that are densely populated and are witnessing continued increase in the demand of motorized vehicles. Transportation accounts for a wide range of environmental impact across the globe. Electric vehicles in this context are recognised as a promising green alternative to traditional gasoline vehicles, for reducing the dependency on crude oil, consumption of energy and emissions of greenhouse gases from the transport sector. Talking about countries like India, currently electric vehicles comprise less than 1% of the overall automotive market share. The Indian Government is encouraging the adoption of electric vehicles through several schemes and policies but the results are yet to be seen. The purpose of this study is to analyse the relationships between the major drivers that would support the adoption of the electric vehicles in India using Interpretive Structural Modeling Technique. MICMAC Analysis is also used in order to study the dependency and mutual relationship between the drivers. The results unveil that the Government Policies and Initiatives and the Technological Advancements could be the key drivers in accelerating the adoption process.
引用
收藏
页码:635 / 645
页数:11
相关论文
共 50 条
  • [21] Modeling electric vehicles adoption for urban commute trips
    Cen, Xuekai
    Lo, Hong K.
    Li, Lu
    Lee, Enoch
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2018, 117 : 431 - 454
  • [22] Barriers and motivators to the adoption of electric vehicles: A global review
    Pamidimukkala, Apurva
    Kermanshachi, Sharareh
    Rosenberger, Jay Michael
    Hladik, Greg
    GREEN ENERGY AND INTELLIGENT TRANSPORTATION, 2024, 3 (02):
  • [23] Electric vehicles revisited: a review of factors that affect adoption
    Coffman, Makena
    Bernstein, Paul
    Wee, Sherilyn
    TRANSPORT REVIEWS, 2017, 37 (01) : 79 - 93
  • [24] An Exploratory Analysis of Factors Affecting Adoption of Electric Vehicles
    Pamidimukkala, Apurva
    Kermanshachi, Sharareh
    Rosenberger, Jay Michael
    Hladik, Greg
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2024: TRANSPORTATION SAFETY AND EMERGING TECHNOLOGIES, ICTD 2024, 2024, : 845 - 854
  • [25] Adoption of electric vehicles in a laggard, car-dependent nation: Investigating the potential influence of V2G and broader energy benefits on adoption
    Philip, Thara
    Whitehead, Jake
    Prato, Carlo G.
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2023, 167
  • [26] Modelling interest in co-adoption of electric vehicles and solar photovoltaics in Australia to identify tailored policy needs
    Hajhashemi, Elham
    Sauri Lavieri, Patricia
    Nassir, Neema
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [27] Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector: An Interpretive Structural Modeling (ISM) Approach
    Prakash, Surya
    Poudel, Sameer Sharma
    Dwivedy, Maheshwar
    Shrestha, Dilesh Raj
    2018 5TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA), 2018, : 458 - 462
  • [28] The adoption and disadoption of electric vehicles by innovators
    Parthasarathy, Madhavan
    Lassar, Walfried
    MARKETING LETTERS, 2023, 34 (04) : 549 - 573
  • [29] The adoption and disadoption of electric vehicles by innovators
    Madhavan Parthasarathy
    Walfried Lassar
    Marketing Letters, 2023, 34 : 549 - 573
  • [30] Barriers to adoption of electric vehicles in Texas
    Apurva Pamidimukkala
    Sharareh Kermanshachi
    Jay Michael Rosenberger
    Greg Hladik
    Environmental Science and Pollution Research, 2024, 31 : 16735 - 16745