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The rapid adoption of electric vehicles (EVs) is transforming urban transportation, offering significant environmental benefits by reducing carbon emissions and reliance on fossil fuels. However, the limited availability of electric vehicle charging stations (EVCSs) remains a critical barrier to widespread EV adoption. This study presents a comprehensive, sustainability-focused approach to EVCS location planning, integrating geographic information systems (GISs) with a hybrid multi-criteria decision-making framework. The methodology combines subjective, objective, and hybrid weighting techniques with decision-making methods, including SAW, TOPSIS, CoCoSo, and MARCOS, to evaluate and rank potential sites based on economic, social, and environmental dimensions. Using Ottawa, Canada, as a case study, the research assesses GIS data, calculates criteria weights, and identifies optimal EVCS locations through the final ranking of alternatives and Copeland methodology. This integrated approach supports the effective deployment of EVCS while promoting renewable energy adoption and advancing sustainable urban mobility solutions.

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Sustainable Urban Transportation Through Optimized Charging Station Placement with Geographic and Multi-Criteria Analysis

  • 章节

  • 发表日期：

    2026年

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  • Mohammad Reza Khodoomi,
  • Eric Ping Hung Li,
  • Babak Mohamadpour Tosarkani

摘要

The rapid adoption of electric vehicles (EVs) is transforming urban transportation, offering significant environmental benefits by reducing carbon emissions and reliance on fossil fuels. However, the limited availability of electric vehicle charging stations (EVCSs) remains a critical barrier to widespread EV adoption. This study presents a comprehensive, sustainability-focused approach to EVCS location planning, integrating geographic information systems (GISs) with a hybrid multi-criteria decision-making framework. The methodology combines subjective, objective, and hybrid weighting techniques with decision-making methods, including SAW, TOPSIS, CoCoSo, and MARCOS, to evaluate and rank potential sites based on economic, social, and environmental dimensions. Using Ottawa, Canada, as a case study, the research assesses GIS data, calculates criteria weights, and identifies optimal EVCS locations through the final ranking of alternatives and Copeland methodology. This integrated approach supports the effective deployment of EVCS while promoting renewable energy adoption and advancing sustainable urban mobility solutions.