Abstract
AbstractElectric vehicles (EVs) serve an important role in lowering greenhouse gas emissions, which helps to mitigate global warming while also contributing to long-term growth. Thus, this research explores various criterions relevant to electric vehicle (EVs) adoption and causal relationships using the decision-making trial and evaluation laboratory (DEMATEL) method. From the comprehensive literature review, a set of criteria for EVs adoption were identified and are finalised through the Delphi method. The data was gathered from eleven experts and was analyzed using the DEMATEL method to develop the causal relationship between each criterion. The sensitivity analysis was performed to check the robustness of the model. The findings revealed that the key criteria for EV adoption include their causal relationships. It is observed that charging time, driving range and price are the most important criteria for an EV purchase. Battery capacities have a major and influential impact on other criteria like charging time, torque, driving range, and maximum power. Professionals and managers in the EV manufacturing industry can benefit from this prioritization of criteria by understanding the causal relationships between them. This study can also serve as guidance for EV engineers when it comes to implementing client preferences into vehicle design. It can also assist low-performing electric vehicles in determining their benchmarks. This work contributes to building an improved understanding of causal factors of electric vehicle adoption in resource-constrained environments for policy making.
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