Spatial distribution characteristics and disaster resilience assessment of traditional villages in earthquake-prone areas
Under the background of global climate change,traditional villages in earthquake-prone areas are facing multi-dimensional hazards from earthquakes,weather conditions,and geology disturbances.This study focuses on 179 traditional villages located in the earthquake-prone areas of Sichuan Province.Based on the theory of disaster resilience,a framework and indicator system for evaluating the disaster resilience of traditional villages were constructed at macro,meso,and micro scales,covering six dimensions including society culture,environment,ecology,architecture,and location.The study quantitatively evaluated the disaster resilience levels of traditional villages in the study areas under different spatial distributions.Traditional villages in the study areas are primarily distributed along river valleys,and based on topographical characteristics,they can be divided into highland mountain areas and plain hilly areas,which show significant differences in geographic location,topographic fluctuation and agglomeration degree.The overall level of disaster resilience of traditional villages in the study area is relatively low,and there is a significant spatial difference.Approximately 83.33%of traditional villages in highland mountain areas are in low or relatively low levels of disaster resilience,with only cultural and architectural dimensions showing higher resilience levels compared to plain hilly areas,while traditional villages in plain hilly areas have higher resilience levels in the social,environmental,ecological,and locational dimensions compared to highland mountain areas.This study establishes an evaluation indicator system for the disaster resilience of traditional villages in earthquake-prone areas,aiming to provide reference for enhancing the comprehensive disaster prevention and mitigation capabilities of traditional villages.
earthquake prone areastraditional villagesspatial distributionspatial analysisdisaster resilienceSichuan Province
NETL
NSTL
万方数据
