Electric Vehicle Charging locational suitability: MCDM and Fuzzy-Logic

Electric Vehicles (EV) palpably lie with both of ecological and long-term economic benefits. The array of rechargeable batteries inside an electric vehicle require electric power to be charged in a periodical manner. For the upcoming time being it would be less-costlier to maintain zero CO2 emission etc. The global inclination towards clean energy has also been nurturing the highest deployment of these vehicles. For the recharge-related issues the basic solution is to meticulously put-up Electric Vehicle Charging Stations or EVCS. For an urban area the pre-construction and site-selection planning have to carefully be dealt with time to push the usage-limit of EVs. Hence this work has cautiously employed a Remote Sensing and Geographic Information System (GIS)- dependent multi-criteria decision making (MCDM) approach to focus on the EVCS site-selection. For this MCDM process Fuzzy logic-based procedures acted as the backbone for all methods that are: Fuzzy Analytical Hierarchy Process(F-AHP) Weighted Overlay Tool Fuzzy Logic Tool on MATLAB and Fuzzy-Technique for Order Preference by Similarity to Ideal Solutions(TOPSIS). Kolkata city India has been taken as the study area.