Assessment of urban seismic social vulnerability based on game theory combination and TOPSIS model: a case study of Changchun City

作者：Ming Ma, Yichen Zhang, Jiquan Zhang, Mingda Li, Jiale Zhu, Yang Wang · 发表于：Scientific Reports · 年份：2025 · DOI：10.1038/s41598-025-92372-3 · 被引用次数：10 · 研究领域：Disaster Management and Resilience、Infrastructure Resilience and Vulnerability Analysis、Agricultural risk and resilience

Earthquakes, as one of the common natural phenomena in China, can directly lead to the collapse of buildings and trigger secondary effects such as landslides and tsunamis, often resulting in significant property losses and casualties. Therefore, conducting seismic risk assessments for regions holds great practical significance. Current disaster research typically requires a comprehensive consideration of the probabilities of disaster-causing factors, the instability of disaster-prone environments, and the vulnerability of disaster-bearing entities. In low seismic risk areas, studying the vulnerability of these entities is particularly important. However, most current research on social vulnerability (SV) in the context of earthquake disasters employs a single weighting method, which is largely constrained by data types and makes it challenging to fully reflect the characteristics of social vulnerability. To address this issue, this study focuses on Changchun City and constructs a comprehensive index system consisting of 12 indicators from the perspectives of exposure, sensitivity, and coping capacity. The TOPSIS model and game theory-based combined weighting method have been utilized to calculate the Social Vulnerability Index (SoVI). In this framework, subjective weights were determined using the G2 method, while objective weights were computed by integrating the CRITIC method and the entropy weighting method, thus forming a more scientifically reasonable weight distribution...