Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk Assessment
Increasing frequency and severity of urban flooding, driven by climate change and urban population growth, present major challenges. Traditional flood control infrastructure alone cannot fully prevent flood damage, highlighting the need for a comprehensive and multi-dimensional disaster management a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/14/7777 |
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| author | Hyung Jun Park Su Min Song Dong Hyun Kim Seung Oh Lee |
| author_facet | Hyung Jun Park Su Min Song Dong Hyun Kim Seung Oh Lee |
| author_sort | Hyung Jun Park |
| collection | DOAJ |
| description | Increasing frequency and severity of urban flooding, driven by climate change and urban population growth, present major challenges. Traditional flood control infrastructure alone cannot fully prevent flood damage, highlighting the need for a comprehensive and multi-dimensional disaster management approach. This study proposes the Flood Risk Index for Building (FRIB)—a building-level assessment framework that integrates vulnerability, hazard, and exposure. FRIB assigns customized risk levels to individual buildings and evaluates the effectiveness of a multi-dimensional method. Compared to traditional indicators like flood depth, FRIB more accurately identifies high-risk areas by incorporating diverse risk factors. It also enables efficient resource allocation by excluding low-risk buildings, focusing efforts on high-risk zones. For example, in a case where 5124 buildings were targeted based on 1 m flood depth, applying FRIB excluded 24 buildings with “low” risk and up to 530 with “high” risk, reducing unnecessary interventions. Moreover, quantitative metrics like entropy and variance showed that as FRIB levels rise, flood depth distributions become more balanced—demonstrating that depth alone does not determine risk. In conclusion, while qualitative labels such as “very low” to “very high” aid intuitive understanding, FRIB’s quantitative, multi-dimensional approach enhances precision in urban flood management. Future research may expand FRIB’s application to varied regions, supporting tailored flood response strategies. |
| format | Article |
| id | doaj-art-5a9e05a5c0164f90b6d1e3f9e690b6a9 |
| institution | Matheson Library |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-5a9e05a5c0164f90b6d1e3f9e690b6a92025-07-25T13:12:20ZengMDPI AGApplied Sciences2076-34172025-07-011514777710.3390/app15147777Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk AssessmentHyung Jun Park0Su Min Song1Dong Hyun Kim2Seung Oh Lee3Department of Civil & Environment Engineering, Hongik University, Seoul 04066, Republic of KoreaDepartment of Civil & Environment Engineering, Hongik University, Seoul 04066, Republic of KoreaDepartment of Civil & Environment Engineering, Hongik University, Seoul 04066, Republic of KoreaDepartment of Civil & Environment Engineering, Hongik University, Seoul 04066, Republic of KoreaIncreasing frequency and severity of urban flooding, driven by climate change and urban population growth, present major challenges. Traditional flood control infrastructure alone cannot fully prevent flood damage, highlighting the need for a comprehensive and multi-dimensional disaster management approach. This study proposes the Flood Risk Index for Building (FRIB)—a building-level assessment framework that integrates vulnerability, hazard, and exposure. FRIB assigns customized risk levels to individual buildings and evaluates the effectiveness of a multi-dimensional method. Compared to traditional indicators like flood depth, FRIB more accurately identifies high-risk areas by incorporating diverse risk factors. It also enables efficient resource allocation by excluding low-risk buildings, focusing efforts on high-risk zones. For example, in a case where 5124 buildings were targeted based on 1 m flood depth, applying FRIB excluded 24 buildings with “low” risk and up to 530 with “high” risk, reducing unnecessary interventions. Moreover, quantitative metrics like entropy and variance showed that as FRIB levels rise, flood depth distributions become more balanced—demonstrating that depth alone does not determine risk. In conclusion, while qualitative labels such as “very low” to “very high” aid intuitive understanding, FRIB’s quantitative, multi-dimensional approach enhances precision in urban flood management. Future research may expand FRIB’s application to varied regions, supporting tailored flood response strategies.https://www.mdpi.com/2076-3417/15/14/7777urban floodriskinundationdisaster |
| spellingShingle | Hyung Jun Park Su Min Song Dong Hyun Kim Seung Oh Lee Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk Assessment Applied Sciences urban flood risk inundation disaster |
| title | Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk Assessment |
| title_full | Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk Assessment |
| title_fullStr | Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk Assessment |
| title_full_unstemmed | Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk Assessment |
| title_short | Study on the Effectiveness of Multi-Dimensional Approaches to Urban Flood Risk Assessment |
| title_sort | study on the effectiveness of multi dimensional approaches to urban flood risk assessment |
| topic | urban flood risk inundation disaster |
| url | https://www.mdpi.com/2076-3417/15/14/7777 |
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