Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK
Achieving net-zero carbon in the UK by 2050 will necessitate the decarbonisation of the transportation systems. However, there are challenges to this, especially for vehicles in cities where the charging infrastructure is at its minimum. Overcoming these challenges will undoubtedly encourage electri...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/7/2497 |
| _version_ | 1827623717982699520 |
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| author | Mostafa Mahdy AbuBakr S. Bahaj Philip Turner Naomi Wise Abdulsalam S. Alghamdi Hidab Hamwi |
| author_facet | Mostafa Mahdy AbuBakr S. Bahaj Philip Turner Naomi Wise Abdulsalam S. Alghamdi Hidab Hamwi |
| author_sort | Mostafa Mahdy |
| collection | DOAJ |
| description | Achieving net-zero carbon in the UK by 2050 will necessitate the decarbonisation of the transportation systems. However, there are challenges to this, especially for vehicles in cities where the charging infrastructure is at its minimum. Overcoming these challenges will undoubtedly encourage electrical vehicle (EV) use, with commensurate reductions in emission coupled with better environmental conditions in cities, e.g., air quality. Drivers, on the whole, are reluctant to invest in an EV if they cannot access a convenient charging point within their living area. This research provides a methodology to support the planning for the optimum siting of charging infrastructure, so it is accessible to as many citizens as possible within a city. The work focuses on Winchester City and District in the UK. The multi-criteria decision approach is based on the Analytical Hierarchy Process (AHP) linked to site spatial assessment using Geographical Information System (GIS). The assessment considered key criteria such as road type, road access, on-road parking availability, road slope, proximity to fuel stations, current/planned charging points, car parks and population distributions. The process contains two suitability filters, namely, restricted road and suitability mask. In the first, all restricted roads were excluded from further analysis, which resulted in reducing the road segments from over 9000 to around 2000. When applying the second filter an overall result of 44 suitable EV charging point locations was achieved. These locations were validated using the Google Earth<sup>®</sup> imaging platform to check actual locations against those predicted by the analysis. The presented methodology is accurate and is generalisable to other cities or regions. |
| first_indexed | 2024-03-09T11:54:37Z |
| format | Article |
| id | doaj.art-868d8948943e45d6a3287dbceb0219e5 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T11:54:37Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-868d8948943e45d6a3287dbceb0219e52023-11-30T23:10:59ZengMDPI AGEnergies1996-10732022-03-01157249710.3390/en15072497Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UKMostafa Mahdy0AbuBakr S. Bahaj1Philip Turner2Naomi Wise3Abdulsalam S. Alghamdi4Hidab Hamwi5Energy & Climate Change Division, Sustainable Energy Research Group, Faculty of Engineering & Physical Science, University of Southampton, Southampton SO16 7QF, UKEnergy & Climate Change Division, Sustainable Energy Research Group, Faculty of Engineering & Physical Science, University of Southampton, Southampton SO16 7QF, UKEnergy & Climate Change Division, Sustainable Energy Research Group, Faculty of Engineering & Physical Science, University of Southampton, Southampton SO16 7QF, UKWinchester City Council, Winchester SO23 9LJ, UKElectrical and Computer Engineering Department, King Abdulaziz University, Jeddah 21589, Saudi ArabiaKuwait Institute for Scientific Research (KISR), Safat 13109, KuwaitAchieving net-zero carbon in the UK by 2050 will necessitate the decarbonisation of the transportation systems. However, there are challenges to this, especially for vehicles in cities where the charging infrastructure is at its minimum. Overcoming these challenges will undoubtedly encourage electrical vehicle (EV) use, with commensurate reductions in emission coupled with better environmental conditions in cities, e.g., air quality. Drivers, on the whole, are reluctant to invest in an EV if they cannot access a convenient charging point within their living area. This research provides a methodology to support the planning for the optimum siting of charging infrastructure, so it is accessible to as many citizens as possible within a city. The work focuses on Winchester City and District in the UK. The multi-criteria decision approach is based on the Analytical Hierarchy Process (AHP) linked to site spatial assessment using Geographical Information System (GIS). The assessment considered key criteria such as road type, road access, on-road parking availability, road slope, proximity to fuel stations, current/planned charging points, car parks and population distributions. The process contains two suitability filters, namely, restricted road and suitability mask. In the first, all restricted roads were excluded from further analysis, which resulted in reducing the road segments from over 9000 to around 2000. When applying the second filter an overall result of 44 suitable EV charging point locations was achieved. These locations were validated using the Google Earth<sup>®</sup> imaging platform to check actual locations against those predicted by the analysis. The presented methodology is accurate and is generalisable to other cities or regions.https://www.mdpi.com/1996-1073/15/7/2497AHPelectrical vehicles and infrastructureMCDMspatial sitingcharging pointsWinchester District |
| spellingShingle | Mostafa Mahdy AbuBakr S. Bahaj Philip Turner Naomi Wise Abdulsalam S. Alghamdi Hidab Hamwi Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK Energies AHP electrical vehicles and infrastructure MCDM spatial siting charging points Winchester District |
| title | Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK |
| title_full | Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK |
| title_fullStr | Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK |
| title_full_unstemmed | Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK |
| title_short | Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK |
| title_sort | multi criteria decision analysis to optimise siting of electric vehicle charging points case study winchester district uk |
| topic | AHP electrical vehicles and infrastructure MCDM spatial siting charging points Winchester District |
| url | https://www.mdpi.com/1996-1073/15/7/2497 |
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