Study on the Impact of Disaster Resilience on Disaster Damage Using Spatial Regression Analysis

This study developed and measured a disaster resilience index for local communities by utilizing the concept of “disaster resilience” to address the increasing damage caused by climate change-related disasters. Based on prior research, this study conceptualized disaster resilience into three components: resistance, recovery, and transformation. It further categorized resilience into four dimensions: social, economic, infrastructure, and institutional resilience. For each dimension, five measurement variables were selected, resulting in 60 measurement variables used to develop the disaster resilience index. To verify the validity of the index, its relationship with actual disaster damage was investigated using spatial regression analysis. The results of the analysis revealed a negative (-) relationship between the disaster resilience index and disaster damage, confirming that regions with higher disaster resilience experienced lower impacts from disasters.