Site selection for electric vehicle charging stations using GIS with MCDM AHP FAHP and TOPSIS techniques. a review

Abstract

Electric vehicles are becoming more popular because they are not only helping countries' economies by lessening dependency on oil but also helping in creating clean environments that are more habitable and sustainable. One of the most crucial issues in promoting the usage of electric vehicles is the availability of charging stations (CS). This study proposed to use GIS-MCDM methods to produce a model that could be used for selecting appropriate locations for EVCS. MCDM AHP, and FAHP techniques will be used to weigh the criteria regarding accessibility and influence on environment. Four main criteria are selected for this work these are environmental, geographical, urbanity, and transportation, the weight of different criterion will be determined. The results will be integrated into GIS for the selection of various suitable locations for EV charging stations. TOPSIS will be used to rank the sites and choose the best locations for charging stations. At the end of the study, it is expected to have a reliable model for the selection of suitable locations for EVCS, which could be used for the selection of proper location for EVCS, for efficiency and effectiveness of electric vehicles charging within cities and along highways, this will improve the adoption and acceptability of EV across the world.