{"title":"Investigating the electric vehicle adoption initiatives for achieving sustainable development goals","authors":"Shashi Kant Tripathi , Ravi Kant , Ravi Shankar","doi":"10.1016/j.sftr.2025.100469","DOIUrl":null,"url":null,"abstract":"<div><div>The present study aims to prioritize the electric vehicle adoption initiatives (EVAIs) for achieving the sustainable development goals (SDGs), considering India's EV sector as a case study. A novel research framework of sentence boundary extraction, a machine learning approach, and multi-criteria decision-making is proposed to achieve the research objective. The findings of the study highlight the top two key initiatives, namely, subsidizing solar-powered EV charging, and offering government incentives for EV production and purchases. Further, the EVAIs identified in this study support developing nations in achieving the most important SDGs, namely, affordable and sustainable transportation (SDG11.2), enhanced policy coherence (SDG17.14), and boosting the share of renewable energy (SDG7.2). The study offers actionable insights for EV stakeholders to advance a sustainable future.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"9 ","pages":"Article 100469"},"PeriodicalIF":3.3000,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Futures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666188825000395","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The present study aims to prioritize the electric vehicle adoption initiatives (EVAIs) for achieving the sustainable development goals (SDGs), considering India's EV sector as a case study. A novel research framework of sentence boundary extraction, a machine learning approach, and multi-criteria decision-making is proposed to achieve the research objective. The findings of the study highlight the top two key initiatives, namely, subsidizing solar-powered EV charging, and offering government incentives for EV production and purchases. Further, the EVAIs identified in this study support developing nations in achieving the most important SDGs, namely, affordable and sustainable transportation (SDG11.2), enhanced policy coherence (SDG17.14), and boosting the share of renewable energy (SDG7.2). The study offers actionable insights for EV stakeholders to advance a sustainable future.
期刊介绍:
Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.