Electric Vehicle Charging Station Positioning Problem: Multi-Criteria Decision Making Analysis with Entropy, CoCoSo and EDAS Methods

Authors : Erol Özçekiç

Pages : 187-202

Doi:10.70754/biibfd.1594279

View : 24 | Download : 45

Publication Date : 2025-01-11

Article Type : Research Paper

Abstract :The increasing adoption of electric vehicles (EVs) underscores the critical need for an efficient and sustainable charging infrastructure. This study addresses the problem of optimal electric vehicle charging station (EVCS) location selection using a multi-criteria decision-making (MCDM) approach. Specifically, the Entropy, CoCoSo (Combined Compromise Solution), and EDAS (Evaluation Based on Distance from Average Solution) methods were applied to evaluate 25 potential locations in Altıeylül. The Entropy method was first employed to objectively determine the weight of each criterion based on their variability, ensuring that more significant factors had a greater impact on the final decision. Environmental, technical, and social criteria were incorporated to ensure that the selected sites would maximize accessibility, reduce air pollution, and enhance user convenience. The results revealed that Location_17 emerged as the top choice for EVCS placement based on both CoCoSo and EDAS rankings. While both methods provided consistent results for high-performing locations, significant discrepancies were observed for certain low-performing sites, highlighting the value of combining multiple MCDM methods. This study provides an informed framework for selecting optimal EVCS locations, offering a balanced evaluation of criteria, and contributes to the growing body of research on sustainable infrastructure planning for EVs.
Keywords : Elektrikli Araç Şarj İstasyonları, Çok Kriterli Karar Verme, Entropi, CoCoSo, EDAS