Village geohazard resilience assessment based on contribution weight superposition and Shannon entropy method- a case study in Dechang County, China

It is essential to assess geohazard resilience at the village level for evidence-based geohazard mitigation and planning. This study introduces a framework that evaluates geohazard resilience in terms of the performance of geohazards, as well as the physical, social and informational dimensions. This framework was adopted in Dechang County to evaluate geohazard resilience at the village level. The results show that 24% of villages have high resilience levels. Those with low resilience are primarily located in the western and south-eastern parts of the study area. Most villages generally lack resilience during the resistance and recovery stages. The entropy weight method was used to examine the inhomogeneity index within and between indicators at each stage. The findings reveal that the recovery and adaptation stages demonstrate the greatest imbalance. The Kappa coefficient of the resilience assessment is 0.74, indicating a satisfactory level of accuracy. Our study identifies key factors for enhancing resilience and improving subsystem balance at each stage and across different dimensions. These findings contribute to a deeper understanding of geohazard resilience at the village level and provide a foundation for evidence-based decision-making and the efficient allocation of resources towards building resilient rural communities.