| Title |
Analyzing the Influencing Factors and Spatial Characteristics of Urban Flood Damage Areas Using a Geographically Weighted Regression Model in Seoul |
| Authors |
김홍석(Kim, Hong-seok); 김충호(Kim, Chung Ho) |
| DOI |
https://doi.org/10.38195/judik.2026.02.27.1.5 |
| Keywords |
도시침수 피해; 공간지리가중회귀분석; 군집분석; 침수흔적도; 직접 요인; 간접 요인 Urban Flood Damage; Geographically Weighted Regression Analysis; Cluster Analysis; Flood Trace Map; Direct Factors; Indirect Factors |
| Abstract |
This study analyzes the influencing factors and spatial characteristics of urban flood damage areas in Seoul using a geographically weighted regression (GWR) model. The research was conducted in three stages. First, urban flood damage areas were identified using flood trace maps and micro-level spatial units. Second, the effects of direct and indirect factors on flood damage were examined. Third, spatial characteristics were classified based on local regression coefficients, resulting in three primary types: ‘Severe Urban Flood Damage Type’, ‘Cautionary Urban Flood Damage Type’, and ‘Stable Urban Flood Damage Type’. The ‘Severe Urban Flood Damage Type’ was further subdivided into two types: ‘Low-lying Areas adjacent to Rivers’ and ‘Areas affected by Multiple Factors’, yielding a total of four spatial types. The results indicate that urban flood damage should be managed through systematic interventions focused on areas with actual damage occurrences, and that place-based, customized response policies reflecting local characteristics are essential. This study contributes to the literature by empirically demonstrating the spatial heterogeneity of urban flood damage determinants and by proposing a typology that captures distinct spatial patterns of vulnerability. |