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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.
About the author
The author holds an M.Sc. degree in Geoinformatics from the University of Madras and an MTech degree in Remote Sensing from Birla Institute of Technology (BIT-Mesra). Now, a Lead GIS analyst and a developer, he has been working in the Remote Sensing and GIS development sector for the past 7 years.
