Assessing Barriers to Adoption of Battery Electric Vehicles Using Decision‐Making Trial and Evaluation Laboratory Combined With Analytic Network Process.

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Title: Assessing Barriers to Adoption of Battery Electric Vehicles Using Decision‐Making Trial and Evaluation Laboratory Combined With Analytic Network Process.
Authors: Kumar, Sanjeev1 (AUTHOR) ersanjeev124@gmail.com, Yadav, Dinesh1 (AUTHOR), Paramasivam, Prabhu2 (AUTHOR) lptprabhu@gmail.com, Gowroju, Swathi3 (AUTHOR), Gupta, Rupesh4 (AUTHOR), Kanti, Praveen Kumar5 (AUTHOR), Dabelo, Leliso Hobicho6 (AUTHOR) eliso.hobicho@meu.edu.et
Source: Energy Science & Engineering. Jan2026, Vol. 14 Issue 1, p236-256. 21p.
Subject Terms: *Electric vehicles, *Analytic network process, *Total cost of ownership, *Electric vehicle industry, *Infrastructure (Economics), *Evaluation methodology
Geographic Terms: India
Abstract: This study employs a hybrid technique based on the Decision‐Making Trial Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), and Multiple Criteria Decision methods to investigate the causation and mutual influence strength among the barriers to the growth of electric vehicles in India. DEMATEL is used to discern between cause‐and‐effect barriers, while ANP ranks and prioritizes the various obstacles. This study gives critical insights into the linkages between these hurdles that will aid in the development of measures to promote the rise of electric cars. According to the findings, the barriers to electric car adoption include a lack of charging infrastructure, issues of fire safety, supply chain hurdles, range anxiety, and high cost of ownership. Generally, this study leads to a better understanding of the multidimensional nature of electric cars' barriers and their interdependencies. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Data: Assessing Barriers to Adoption of Battery Electric Vehicles Using Decision‐Making Trial and Evaluation Laboratory Combined With Analytic Network Process.
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  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Jan2026, Vol. 14 Issue 1, p236-256. 21p.
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  Data: *<searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br />*<searchLink fieldCode="DE" term="%22Analytic+network+process%22">Analytic network process</searchLink><br />*<searchLink fieldCode="DE" term="%22Total+cost+of+ownership%22">Total cost of ownership</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+vehicle+industry%22">Electric vehicle industry</searchLink><br />*<searchLink fieldCode="DE" term="%22Infrastructure+%28Economics%29%22">Infrastructure (Economics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
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  Label: Abstract
  Group: Ab
  Data: This study employs a hybrid technique based on the Decision‐Making Trial Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), and Multiple Criteria Decision methods to investigate the causation and mutual influence strength among the barriers to the growth of electric vehicles in India. DEMATEL is used to discern between cause‐and‐effect barriers, while ANP ranks and prioritizes the various obstacles. This study gives critical insights into the linkages between these hurdles that will aid in the development of measures to promote the rise of electric cars. According to the findings, the barriers to electric car adoption include a lack of charging infrastructure, issues of fire safety, supply chain hurdles, range anxiety, and high cost of ownership. Generally, this study leads to a better understanding of the multidimensional nature of electric cars' barriers and their interdependencies. [ABSTRACT FROM AUTHOR]
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      – Type: doi
        Value: 10.1002/ese3.70349
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 236
    Subjects:
      – SubjectFull: Electric vehicles
        Type: general
      – SubjectFull: Analytic network process
        Type: general
      – SubjectFull: Total cost of ownership
        Type: general
      – SubjectFull: Electric vehicle industry
        Type: general
      – SubjectFull: Infrastructure (Economics)
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      – SubjectFull: Evaluation methodology
        Type: general
      – SubjectFull: India
        Type: general
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      – TitleFull: Assessing Barriers to Adoption of Battery Electric Vehicles Using Decision‐Making Trial and Evaluation Laboratory Combined With Analytic Network Process.
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            NameFull: Kumar, Sanjeev
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            NameFull: Yadav, Dinesh
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            NameFull: Paramasivam, Prabhu
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            NameFull: Gowroju, Swathi
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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              Value: 14
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            – TitleFull: Energy Science & Engineering
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