Prakhar Prakhar, Jaiswal Rachana, Gupta Shashank, Tiwari Aviral Kumar
Department of Business Management, HNB Garhwal (A Central) University, Srinagar, Uttarakhand, India.
Cyber Data Risk & Resilience, Morgan Stanley Advantage Services Private Limited, Commerz III, International Business Park, Oberoi Garden City, Off Western Express Highway, Goregaon (East), Mumbai, India.
J Environ Manage. 2024 Dec;372:123415. doi: 10.1016/j.jenvman.2024.123415. Epub 2024 Nov 24.
This study conducts a systematic literature review on electric vehicle (EV) adoption, mapping critical themes and presenting an integrated framework to advance understanding of EVs' role in sustainable transportation. Drawing on 917 Scopus-indexed articles and 23 stakeholder interviews, it explores economic, environmental, energy, and social (EEES) dynamics through the Theory-Context-Methodology (TCM) framework and causal loop diagrams. Findings reveal dominant theories, such as the Theory of Planned Behavior and Value-Belief Norm Theory, and underscore the importance of methodological approaches like regression analysis and structural equation modeling. Key research themes include adoption intention, green infrastructure, and sustainable transport policy, all aligning with Sustainable Development Goals (SDGs) 7 (Clean Energy), 11 (Sustainable Cities), and 13 (Climate Action). By constructing a causal loop diagram, this study illustrates complex interrelations among EEES factors, highlighting the reinforcing and balancing influences on EV adoption behavior. The proposed integrated framework provides a roadmap for future research, identifying significant gaps and strategic directions for policymakers, industry stakeholders, and researchers. Practical implications include guidelines to foster EV integration into smart cities, addressing infrastructure and environmental challenges while encouraging policy incentives to enhance public adoption. The study's theoretical implications include the expansion of existing behavioral theories, the development of an integrated theoretical framework that combines TCM and CLDs, the introduction of CLDs as a tool for complex systems analysis, and the identification of thematic clusters within EV adoption research. This review supports informed decision-making for sustainable urban mobility, positioning EVs as transformative in the global shift toward eco-friendly transportation solutions.
本研究对电动汽车的采用情况进行了系统的文献综述，梳理了关键主题，并提出了一个综合框架，以增进对电动汽车在可持续交通中作用的理解。该研究借鉴了917篇被Scopus索引的文章以及23次利益相关者访谈，通过理论—背景—方法（TCM）框架和因果循环图来探究经济、环境、能源和社会（EEES）动态。研究结果揭示了诸如计划行为理论和价值—信念—规范理论等主导理论，并强调了回归分析和结构方程建模等方法的重要性。关键研究主题包括采用意愿、绿色基础设施和可持续交通政策，所有这些都与可持续发展目标（SDG）7（清洁能源）、11（可持续城市）和13（气候行动）相一致。通过构建因果循环图，本研究阐述了EEES因素之间的复杂相互关系，突出了对电动汽车采用行为的增强和平衡影响。所提出的综合框架为未来研究提供了路线图，为政策制定者、行业利益相关者和研究人员确定了重大差距和战略方向。实际意义包括促进电动汽车融入智慧城市的指导方针，应对基础设施和环境挑战，同时鼓励政策激励措施以提高公众采用率。该研究的理论意义包括对现有行为理论的扩展、结合TCM和CLD的综合理论框架的发展、将CLD作为复杂系统分析工具的引入，以及在电动汽车采用研究中识别主题集群。本综述支持为可持续城市交通做出明智决策，将电动汽车定位为全球向环保交通解决方案转变中的变革力量。
