A MIP model for locating slow-charging stations for electric vehicles in urban areas accounting for driver tours

• This study presents a more realistic model for locating EV charging stations.
• Demand calculation takes into account the different stops of the same traveler.
• The model is applied to a case-study city in Portugal that already has a network.
• Considering demand transference between the stops influences considerably the results.
• The network obtained by the model provides better demand coverage.

In this paper we propose an improved mathematical model for locating EV charging stations. We consider the successive activities of the travelers, i.e., a person with two main stops during the day should charge the vehicle in just one of the parking spots, hence avoiding double counting the demand. The model is tested for the city of Coimbra (Portugal), where there is a network of nine stations. We conclude that our solution is better than the one that was implemented in reality, moreover we are able to conclude that demand transference has a rather significant impact on the solutions.