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Quantitative model evaluates disaster risk using spatial hazard factors in high-risk areas, suggesting effective management tools.
This study proposes a quantitative disaster risk assessment model based on field surveys in response to the growing need for effective field-oriented risk evaluation under increasing disaster uncertainty. The model quantifies the likelihood of disaster occurrence and the severity of potential human casualties to calculate a risk score, and employs a risk matrix approach to determine the overall risk level. The study targets 115 high-risk sites in Jeju Special Self-Governing Province that are vulnerable to fluvial and coastal disasters. Risk factors are quantified through checklist-based on-site investigations to assess disaster risk levels. The analysis reveals significant differences in composite risk levels depending on local characteristics, with particularly high risks observed in low-lying and coastal cluster areas. These findings suggest that field-based risk assessment systems can serve as useful tools for prioritizing future disaster management policies.
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Ahn et al. (2025) studied this question.
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