Optimal location for electric vehicle charging station using multiobjective assessment method
Abstract The accelerating adoption of electric vehicles (EVs) underscores the urgent need for an efficient and accessible EV charging infrastructure. A key challenge in this domain is the optimal placement of charging stations, which requires the simultaneous consideration of technical, environmenta...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-07-01
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| Series: | Sustainable Energy Research |
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| Online Access: | https://doi.org/10.1186/s40807-025-00184-w |
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| author | S. Subash N. Narmadhai |
| author_facet | S. Subash N. Narmadhai |
| author_sort | S. Subash |
| collection | DOAJ |
| description | Abstract The accelerating adoption of electric vehicles (EVs) underscores the urgent need for an efficient and accessible EV charging infrastructure. A key challenge in this domain is the optimal placement of charging stations, which requires the simultaneous consideration of technical, environmental and economic criteria. This study proposes a systematic Multicriteria Decision-Making (MCDM) framework based on the Complex Proportional Assessment (COPRAS) method to identify optimal locations for EV charging hubs. The model evaluates candidate sites by integrating critical factors, including proximity to high-traffic zones, availability of parking facilities and user convenience, each assigned a weight based on its significance. The input data are normalized, utility degrees are computed and composite scores are derived to establish a ranked list of potential locations. The novelty of this work lies in the customized application of the COPRAS method for urban EV infrastructure planning, offering a comprehensive evaluation framework that balances diverse stakeholder priorities. The results provide valuable insights for urban planners, policymakers and stakeholders involved in sustainable transportation development. By ensuring accessibility, cost-effectiveness and environmental sustainability, the proposed approach contributes to the strategic expansion of EV infrastructure and supports the transition to a low-carbon mobility ecosystem. |
| format | Article |
| id | doaj-art-8efbf52e99a24668b1fb6d92cd510ce2 |
| institution | Kabale University |
| issn | 2731-9237 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Sustainable Energy Research |
| spelling | doaj-art-8efbf52e99a24668b1fb6d92cd510ce22025-08-20T04:03:01ZengSpringerOpenSustainable Energy Research2731-92372025-07-0112112510.1186/s40807-025-00184-wOptimal location for electric vehicle charging station using multiobjective assessment methodS. Subash0N. Narmadhai1Power Electronics and Drives, Government College of TechnologyElectrical and Electronics Engineering, Government College of TechnologyAbstract The accelerating adoption of electric vehicles (EVs) underscores the urgent need for an efficient and accessible EV charging infrastructure. A key challenge in this domain is the optimal placement of charging stations, which requires the simultaneous consideration of technical, environmental and economic criteria. This study proposes a systematic Multicriteria Decision-Making (MCDM) framework based on the Complex Proportional Assessment (COPRAS) method to identify optimal locations for EV charging hubs. The model evaluates candidate sites by integrating critical factors, including proximity to high-traffic zones, availability of parking facilities and user convenience, each assigned a weight based on its significance. The input data are normalized, utility degrees are computed and composite scores are derived to establish a ranked list of potential locations. The novelty of this work lies in the customized application of the COPRAS method for urban EV infrastructure planning, offering a comprehensive evaluation framework that balances diverse stakeholder priorities. The results provide valuable insights for urban planners, policymakers and stakeholders involved in sustainable transportation development. By ensuring accessibility, cost-effectiveness and environmental sustainability, the proposed approach contributes to the strategic expansion of EV infrastructure and supports the transition to a low-carbon mobility ecosystem.https://doi.org/10.1186/s40807-025-00184-wSustainable transportationEV charging stationsDecision-making trial and evaluation laboratoryComplex proportional assessmentUncertainty |
| spellingShingle | S. Subash N. Narmadhai Optimal location for electric vehicle charging station using multiobjective assessment method Sustainable Energy Research Sustainable transportation EV charging stations Decision-making trial and evaluation laboratory Complex proportional assessment Uncertainty |
| title | Optimal location for electric vehicle charging station using multiobjective assessment method |
| title_full | Optimal location for electric vehicle charging station using multiobjective assessment method |
| title_fullStr | Optimal location for electric vehicle charging station using multiobjective assessment method |
| title_full_unstemmed | Optimal location for electric vehicle charging station using multiobjective assessment method |
| title_short | Optimal location for electric vehicle charging station using multiobjective assessment method |
| title_sort | optimal location for electric vehicle charging station using multiobjective assessment method |
| topic | Sustainable transportation EV charging stations Decision-making trial and evaluation laboratory Complex proportional assessment Uncertainty |
| url | https://doi.org/10.1186/s40807-025-00184-w |
| work_keys_str_mv | AT ssubash optimallocationforelectricvehiclechargingstationusingmultiobjectiveassessmentmethod AT nnarmadhai optimallocationforelectricvehiclechargingstationusingmultiobjectiveassessmentmethod |