TY - JOUR
T1 - Evaluating the Importance of Criteria for Electric Vehicle Implementation: A Case Study of Lithuania
AU - Victor Hugo
AU - Daniel Cruz
AU - Javier Salazar
JF - Journal of Smart Grids, Energy Analytics and Optimization
JO - J Smart Grids Energy Anal Optim
Y1 - 2025
VL - 4
IS - 1
SP - 95
N2 - This research outlines a structured framework comprising 7 primary categories and 50 underlying sub-factors designed to evaluate the rollout of electric vehicles (EVs). To establish the local importance weights for these sub-factors, the study employed two approaches: variants of the Average Rank Transformation and the Analytic Hierarchy Process (AHP). Consensus among the specialists was achieved by averaging the rankings assigned to both the main categories and the sub-factors, thereby resolving the assessment task. The mean local weights were further derived using three distinct Multiple Criteria Decision-Making (MCDM) techniques, thereby enhancing the overall reliability of the outcomes. Consequently, the overall (global) weights and ranking order of the sub-factors were determined. According to the specialists, the nationwide advancement of EVs is predominantly influenced by the elevated expenses associated with producing and acquiring EVs, the provision of monetary subsidies to buyers of EVs, the elimination of tailpipe emissions, the rollout of rapid charging facilities, and the current shortage of supporting infrastructure across the nation’s five major urban centers. The analysis indicates that, among the 50 sub-factors, the top 10 most influential ones (predominantly tied to economic considerations) collectively account for over 35% of the total global weight. Meanwhile, the 22 highest-priority sub-factors exceed the mean weight threshold (0.2) and together represent roughly 65%. These insights offer practical guidance for government officials responsible for shaping EV adoption strategies.
UR - https://isespub.com/b102456978
ER -