Preliminary Study on the Urban Flood Adaptive Capacity Index
Source abstract
Abstract
The increasing frequency and intensity of urban floods due to the climate crisis necessitate effective adaptation. In South Korea, flood vulnerability assessments have focused on preparedness, underscoring the need for adaptive capacity research. This study proposes the Urban Flood Adaptive Capacity Index (UFACI), a Fuzzy Logic-based framework that quantifies urban resilience. Developed from a socio-ecological systems (SES) perspective, the UFACI integrates economic resources, social capital, risk perception, and infrastructure. Fourteen indicators are applied using Fuzzy Logic to address uncertainties and enhance decision-making. The methodology is tested in 12 rainwater pumping station drainage areas in Seoul, providing actionable insights for flood management. This study contributes by shifting the focus from vulnerability to adaptive capacity, offering a systematic, data-driven approach to flood resilience assessment. Unlike conventional methods, the UFACI integrates socio-economic and physical factors, enabling targeted policy interventions and resource allocation. Its application in Seoul demonstrates its practical value, with potential adaptability for broader urban flood risk management.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Flood Risk Assessment and Management · Disaster Management and Resilience · Evacuation and Crowd Dynamics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil & Environment Engineering, Hongik University, Seoul 04066, Republic of Korea
Funding
Cooperative Research Method and Safety Management Technology in National Disaster funded by Ministry of Interior and Safety
References (54)
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