An integrated ranking approach based on group multi-criteria decision making and sensitivity analysis to evaluate charging stations under sustainability


ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, vol.25, no.1, pp.96-121, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 1
  • Publication Date: 2023
  • Doi Number: 10.1007/s10668-021-02044-1
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, International Bibliography of Social Sciences, PASCAL, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Business Source Elite, Business Source Premier, CAB Abstracts, Geobase, Greenfile, Index Islamicus, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.96-121
  • Keywords: Electric vehicle charging station (EVCS), Location problem, Multi-criteria decision making (MCDM), Group aggregation technique, Sensitivity analysis, Sustainability, GROUP AGGREGATION, MOORA METHOD, CRITERIA, JUDGMENTS, SELECTION
  • Bursa Uludag University Affiliated: Yes


The increasing environmental pollution has led to the need to accelerate interest in electric vehicles. It is crucial to specify locations for electric vehicle charging stations (EVCSs) to meet the charge demand. The question that arises here is how to make a comprehensive evaluation of the alternative EVCS locations regarding sustainability. This study presents a new integrated group multi-criteria decision making (MCDM) approach for a robust evaluation of alternative EVCS locations. Two different group aggregation techniques (GATs) are applied to obtain the aggregated weights with AHP (analytical hierarchy process): aggregating individual judgments and aggregating individual priorities. For ranking alternative locations, two MCDM methods, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) were applied for both aggregated weights. Furthermore, we introduce two types of rankings from the sensitivity analysis based on the most selected alternatives for each rank position and the most selected rank position for each alternative. Finally, an integrated ranking is obtained by combining the results of group MCDM methods and sensitivity analysis to investigate the impact of GATs and MCDM methods. The proposed methodology is applied to rank the EVCS locations in Bursa, Turkey, with four main criteria and eight sub-criteria. The similarity measure results indicate that the GAT and the MCDM method have an impact on the evaluation scores and the rankings. The integrated group MCDM approach provides a comprehensive evaluation of the alternatives.