On the locations of electric vehicle charging facilities using a Geographic Information System

In this study, we analyze a location obtained by an electric vehicle (EV) charging facilities location model, using Geographic Information System (GIS) and organize what kind of consideration are necessary for location points obtained by numerical calculation. Generally, existing location model locate facilities to minimize a traveled distance to a facility of demands ranged spatially. However, demands of the facilities are traffic flows going through a road link and that is needed to locate without overlap. The model considering the traffic flow as a demand was proposed by Hodgson et al. as the flow-capturing location-allocation model (FCLM). In FCLM, "Cannibalization" that multiple facilities consume demands flowing on a same route makes the problem difficult. To avoid the cannibalization, FCLM is modeled to minimize the number of facilities located on a same route. However, EV has the feature that the driving distance is short so multiple facilities should be arranged on a sufficiently long route in order not to run out of battery. We have proposed a model considering the driving distance of EV to this problem. In this study, we analyze the obtained location and organized issues. Aiming for that the solution obtained by our model is used in business.