Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem

Mikołaj Schmidt, Paweł Zmuda-Trzebiatowski, Marcin Kiciński, Piotr Sawicki and Konrad Lasak
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Mikołaj Schmidt: Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland
Paweł Zmuda-Trzebiatowski: Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland
Marcin Kiciński: Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland
Piotr Sawicki: Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland
Konrad Lasak: Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland

Energies, 2021, vol. 14, issue 11, 1-34

Abstract: The article presents the issue of designing a network of electric vehicle charging stations (EVCSs) for servicing passenger and commercial vehicles and taking into account the already existing locations. The authors propose a five-stage multicriteria- and GIS-based EVCS location methodology (5MAGISEV) for designing the EVCS network that includes defining potential EVCS locations (stage 1), constructing a family of evaluation criteria (stage 2), generating alternatives (stage 3), selecting an appropriate multiple criteria decision aid method (stage 4) and conducting a multicriteria evaluation of alternatives (stage 5). The methodology was verified by its experimental application for solving the problem of EVCS location in Poznan, Poland. As a result of its application, a set of over 155,000 alternatives was generated in view of different EVCS location determination policies. A family of eight criteria with subcriteria was proposed to assess the solutions, including the evaluation of the degree of integration of the considered EVCSs with such issues as public transport (C1); urbanized areas (C2); main road network (C3); industrial areas (C4); and the location with respect to transport areas (C5), shops of various types (C6), address points (C7) and DYI stores (C8). Based on the selected method of multiple criteria decision aid (LBS), a solution was selected that constitutes a compromise design of the EVCS network.

Keywords: location problem; electromobility; electric vehicle charging station (EVCS); 5MAGISEV; multiple criteria decision aid (MCDA); light beam search (LBS) method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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