Locating Electric Vehicle Charging Stations in Istanbul with AHP Based Mathematical Modelling

Abstract: In recent years, because of the soaring prices of oil and the environmental issues, automakers have offered electric vehicles for sustainable transportation. However, the transition to EVs is currently facing various shortcomings among which are: the high cost of EV batteries and their limited driving range, and underdeveloped charging station infrastructure. To overcome these shortcomings, it is significant to install sufficient charging station to the critical sites. In this paper, we address the problem of where to locate charging stations in districts of Istanbul, Turkey. The problem of where to locate electric vehicle charging station can be grouped as a decision making problem while many criteria and alternatives have to be considered simultaneously. Therefore, ten alternative locations are identified in Kadikoy and Atasehir, two districts of Istanbul. Three main criteria are formed from the literature review to compare these alternative locations with each other. Analytic Hierarchy Process (AHP) methodology is used to obtain composite weight of each alternative locations and to rank them. Then these weights are used as input for mathematical model to determine the number of charging station to install. The mathematical model is formulated to maximize the user utility under budget and capacity constraints to obtain optimal number of charging station for each alternative point. Therefore, the composite weights used in mathematical model affect the number of charging stations to locate. Finally, the integrating methodology yields effective and robust results.