Location models of electric charging stations in the city of Rome

Abstract

The issue of the location of charging stations for electric vehicles is becoming very important due to governmental decisions on electric mobility. Many authors have addressed this problem with the support of graph theory and graph optimization. In dealing with this problem, typical operational research models and approaches used for facility location, such as p-median, coverage problem and queuing theory, have been resorted to. In this paper we apply these models to the location of charging stations in the city of Rome. In particular, we analyze the suitability of existing charging sites and suggest where to implement new chargers using a p-median-like model. Finally, we study the waiting time distribution when the nearest charging stations are occupied, and we use queuing theory to show how much demand for the service would improve with the implementation of the new charging points.