Work

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

Year: 2025

Type: article

Abstract: 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.

Source: Korean Society of Hazard Mitigation

DOI: 10.9798/kosham.2025.25.2.47

Authors: Ah Hyeon Dong, Jung Eun Kang

Institution: Pusan National University

Language: English

Topic: Disaster Management and Resilience

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea