Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem
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 (5MAGISE...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/11/3214 |
| _version_ | 1797531934216159232 |
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| author | Mikołaj Schmidt Paweł Zmuda-Trzebiatowski Marcin Kiciński Piotr Sawicki Konrad Lasak |
| author_facet | Mikołaj Schmidt Paweł Zmuda-Trzebiatowski Marcin Kiciński Piotr Sawicki Konrad Lasak |
| author_sort | Mikołaj Schmidt |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:50:59Z |
| format | Article |
| id | doaj.art-9fd55db2c64748ce951df7d9ae216707 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T10:50:59Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9fd55db2c64748ce951df7d9ae2167072023-11-21T22:13:07ZengMDPI AGEnergies1996-10732021-05-011411321410.3390/en14113214Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design ProblemMikołaj Schmidt0Paweł Zmuda-Trzebiatowski1Marcin Kiciński2Piotr Sawicki3Konrad Lasak4Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, PolandFaculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, PolandFaculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, PolandFaculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, PolandFaculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, PolandThe 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.https://www.mdpi.com/1996-1073/14/11/3214location problemelectromobilityelectric vehicle charging station (EVCS)5MAGISEVmultiple criteria decision aid (MCDA)light beam search (LBS) method |
| spellingShingle | Mikołaj Schmidt Paweł Zmuda-Trzebiatowski Marcin Kiciński Piotr Sawicki Konrad Lasak Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem Energies location problem electromobility electric vehicle charging station (EVCS) 5MAGISEV multiple criteria decision aid (MCDA) light beam search (LBS) method |
| title | Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem |
| title_full | Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem |
| title_fullStr | Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem |
| title_full_unstemmed | Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem |
| title_short | Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem |
| title_sort | multiple criteria based electric vehicle charging infrastructure design problem |
| topic | location problem electromobility electric vehicle charging station (EVCS) 5MAGISEV multiple criteria decision aid (MCDA) light beam search (LBS) method |
| url | https://www.mdpi.com/1996-1073/14/11/3214 |
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