Barriers in Replacement of Conventional Vehicles by Electric Vehicles in India

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Decision Support System Technology Pub Date : 2023-05-12 DOI:10.4018/ijdsst.323135
Disha Bhattacharyya, Sudeepta Pradhan, Shabbiruddin
{"title":"Barriers in Replacement of Conventional Vehicles by Electric Vehicles in India","authors":"Disha Bhattacharyya, Sudeepta Pradhan, Shabbiruddin","doi":"10.4018/ijdsst.323135","DOIUrl":null,"url":null,"abstract":"Electric vehicles are an emerging and evolving technology that brings in remarkable environmental gains over conventional vehicles, contributing significantly towards a decrease in fossil fuel dependence. However, infiltrating into the existing automobile market requires huge investment in charging facilities and intricate planning to make it more approachable to the consumers. Identifying the crucial challenges and finding a solution has been a major hurdle to the manufacturers. While various non-government agencies and government policies are urging both consumers and manufacturers to adopt electric mobility, many industries remain unguided. The paper aims to identify, study, and rank 12 of these influential challenges faced by the manufacturers based on their impact on enhancing the manufacturing and sales of electric vehicles in India using the triangular fuzzy number (TFN) method. Results obtained reveal that inadequate charging infrastructure is one of the biggest hurdles.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Decision Support System Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijdsst.323135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Electric vehicles are an emerging and evolving technology that brings in remarkable environmental gains over conventional vehicles, contributing significantly towards a decrease in fossil fuel dependence. However, infiltrating into the existing automobile market requires huge investment in charging facilities and intricate planning to make it more approachable to the consumers. Identifying the crucial challenges and finding a solution has been a major hurdle to the manufacturers. While various non-government agencies and government policies are urging both consumers and manufacturers to adopt electric mobility, many industries remain unguided. The paper aims to identify, study, and rank 12 of these influential challenges faced by the manufacturers based on their impact on enhancing the manufacturing and sales of electric vehicles in India using the triangular fuzzy number (TFN) method. Results obtained reveal that inadequate charging infrastructure is one of the biggest hurdles.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
印度电动汽车取代传统汽车的障碍
电动汽车是一种新兴的、不断发展的技术,与传统汽车相比,它带来了显著的环境效益,对减少对化石燃料的依赖做出了重大贡献。然而,渗透到现有的汽车市场需要大量的充电设施投资和复杂的规划,使其更接近消费者。识别关键挑战并找到解决方案一直是制造商面临的主要障碍。虽然各种非政府机构和政府政策都在敦促消费者和制造商采用电动汽车,但许多行业仍然没有得到指导。本文旨在使用三角模糊数(TFN)方法,根据制造商对提高印度电动汽车的制造和销售的影响,识别、研究和排名12个制造商面临的这些有影响力的挑战。结果显示,充电基础设施不足是最大的障碍之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Decision Support System Technology
International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
18.20%
发文量
40
期刊最新文献
A Novel Query Method for Spatial Database Based on Improved K-Nearest Neighbor Algorithm Analysis and Evaluation of Roadblocks Hindering Lean-Green and Industry 4.0 Practices in Indian Manufacturing Industries Developing Fuzzy-AHP-Integrated Hybrid MCDM System of COPRAS-ARAS for Solving an Industrial Robot Selection Problem Generalized Parametric Intuitionistic Fuzzy Measures Based on Trigonometric Functions for Improved Decision-Making Problem An Efficient Method to Decide the Malicious Traffic
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1