Restricted accessResearch articleFirst published online 2025
Resilience Evaluation of Regional Transportation Network Based on Game Theory and Extensible Cloud Model: A Case Study of the Beijing-Tianjin-Hebei Region
Currently, existing resilience evaluation methods of regional transportation networks often rely on single metrics or subjective weighting methods, which do not fully capture the complex and multidimensional nature of comprehensive resilience evaluation and analysis. Therefore, in this study, a seismic resilience evaluation model was developed that integrates game theory-based weighting with an extension cloud model. Using the construction of a comprehensive evaluation framework, this newly established model scientifically assesses the resilience of regional transportation networks under strong earthquake conditions. This study has three stages. First, based on the resilience characteristics of regional transportation networks, a corresponding evaluation index system was constructed from both functional and structural dimensions. Second, a method was proposed to evaluate the resilience of regional transportation networks by integrating subjective and objective weighting techniques grounded in game theory, combined with a comprehensive fuzzy-random qualitative and quantitative topological cloud model. Finally, taking the historical earthquake scenario of Sanhe-Pinggu as a case study, the resilience of the transportation network in the Beijing-Tianjin-Hebei region was evaluated using the established model. Based on the relevant evaluation results, limits and improvement strategies for the resilience of the transportation network in the Beijing-Tianjin-Hebei region are also discussed. This evaluation index system and evaluation model were found to reflect the resilience level of regional transportation networks and be suitable for the resilience evaluation of regional transportation networks in the context of a major earthquake. This research provides evidence-based reference and decision support for similar regional transportation network resilience evaluation and improvement.
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