Authors: Janjić, Aleksandar
Velimirović, Lazar 
Velimirović, Jelena 
Vranić, Petar 
Affiliations: Computer Science 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Estimating the optimal number and locations of electric vehicle charging stations: the application of multi-criteria p-median methodology
Journal: Transportation Planning and Technology
Issue Date: 22-Oct-2021
Rank: ~M23
ISSN: 0308-1060
DOI: 10.1080/03081060.2021.1992177
Abstract: 
Recent developments related to the widespread utilization of electric vehicles (EV) have required the building of sound and reliable public charging networks. In the literature, this task has usually been approached by optimizing the spatial distribution of a predefined number of stations, based on a number of selection criteria. Our study provides a new multi-criteria approach to the optimization of both charging station numbers and locations. The optimization procedure is based on the fulfilment of the following criteria: EV installation costs, walking distances to the charging station locations, location safety, access to parking, and power distribution network capacity. The novel methodology used for the analysis is the p-median based modified with an iterative approach and distances weighted with the Analytic Hierarchy Process (AHP) approach. The optimal number and site selection methodology of charging stations are verified based on a case study of the city of Niš (Serbia).
Keywords: Analytic Hierarchy Process (AHP) | case study | Electric vehicle charging station | modified p-median | multi-criteria analysis | optimization | site selection
Publisher: Taylor & Francis

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