Urban Flood Resilience Assessment Based on VIKOR-GRA: A Case Study in Chongqing, China

Flooding has been considered as one of the major challenges of urban hazards resilience assessment. Improving urban flood risk resilience has become a critical issue for city management. However, urban flood assessment models on the resilience perspective are rare. Meanwhile, in the perspective of resilience, the existing studies using the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) assessment method for disaster assessment lack consideration of evaluation scenarios located in the midpoint of positive and negative ideal solutions. To address these issues, this study establishes an urban flood disaster resilience assessment model, selects indicators according to the TOSE (Technical, Organizational, Social and Economic) framework, ranks cities through the VIKOR-GRA (VlseKriterijumska Optimizacija I Kompromisno Resenje, Grey Relational Analysis) method, and proposes measures to improve urban disaster resilience through the resilience assessment. Chongqing is taken as an example in this study to verify the feasibility and effectiveness of the proposed model, and practical management opinions are presented to improve flood resilience in these cities. Through the analysis of actual cases, it can be seen that the model has good applicability and can better reflect the actual situation. The knowledge of flood resilience assessment methods is of particular value to policy makers, researchers and industry professionals in assessing potential risks and recognizing the importance of flood prevention mechanisms.

Automated summary

Flooding is a major challenge in urban hazards resilience assessment, but there are few urban flood assessment models from a resilience perspective. Existing studies using the TOPSIS assessment method lack evaluation scenarios between positive and negative ideal solutions. This study establishes an urban flood disaster resilience assessment model, ranks cities through the VIKOR-GRA method, and proposes measures to improve urban disaster resilience. Analysis of actual cases shows that the model has good applicability.