Publication:
Bibliometric Analysis of Electric Vehicle Adoption and Environmental Sustainability Research (2014?2024): Trends and Implications

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dc.citedby1
dc.contributor.authorHassan A.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAl-Sharafi M.A.en_US
dc.contributor.authorIbrahim M.en_US
dc.contributor.authorIahad N.A.en_US
dc.contributor.authorGunasekaran S.S.en_US
dc.contributor.authorid57703332100en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid57196477711en_US
dc.contributor.authorid59217761300en_US
dc.contributor.authorid57201450886en_US
dc.contributor.authorid55652730500en_US
dc.date.accessioned2025-03-03T07:46:17Z
dc.date.available2025-03-03T07:46:17Z
dc.date.issued2024
dc.description.abstractElectric vehicles (EVs) offer major sustainability benefits through reductions in greenhouse gas emissions and noise pollution. This study presents a bibliometric analysis of the literature on EV adoption and environmental sustainability from 2014 to 2024. The aim is to uncover publication trends, influential countries, research themes, gaps, and future directions. A systematic search of Scopus yielded 121 documents for analysis using VOSviewer. Results reveal an upward trajectory in publications, signaling intensifying research attention, especially post-2019. The US and China dominate research outputs. However, developing countries are underrepresented, indicating a contextual knowledge gap. Analysis of keywords and citations shows emphasis on environmental impacts, consumer attitudes, charging infrastructure, incentives, costs, and policy. Key themes represent research priorities for scholars and stakeholders. Multi-country collaborations and studies grounded in developing world contexts can enrich the discourse. Interdisciplinary perspectives embracing technical, social, economic and policy dimensions are valuable. The study provides a foundation to advance research and evidence-based policies for accelerated EV adoption globally through targeted strategies addressing region-specific barriers. ? The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-031-61463-7_3
dc.identifier.epage58
dc.identifier.scopus2-s2.0-85198416820
dc.identifier.spage43
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85198416820&doi=10.1007%2f978-3-031-61463-7_3&partnerID=40&md5=a92e4ab17bfa70eb1412ba9c9efb62b4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36977
dc.identifier.volume1161
dc.pagecount15
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleStudies in Computational Intelligence
dc.titleBibliometric Analysis of Electric Vehicle Adoption and Environmental Sustainability Research (2014?2024): Trends and Implicationsen_US
dc.typeBook chapteren_US
dspace.entity.typePublication
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