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2025 Vol.58, Issue 12S-4 Preview Page

Special Issue: 지능형 도시홍수 예측

Assessment of urban flood risk preparedness capacity using multi criteria decision making and network analysis

다기준의사결정기법과 네트워크 이론을 적용한 도시 침수 위험 대응능력 평가

Su Min Songa
,
Kwang ki Kimb
,
Seung Oh Leec*
송 수민a
,
김 광기b
,
이 승오c*
aMaster Course, Department of Civil Engineering, Hongik University, Seoul, Korea
bExecutive Director, Water Resources Department, Korea Engineering Consultants Corp., Seoul, Korea
cProfessor, Department of Civil Engineering, Hongik University, Seoul, Korea
a홍익대학교 토목공학과 석사과정
b한국종합기술 수자원부 상무
c홍익대학교 건설환경공학과 교수
*Corresponding Author
31 December 2025. pp. 1661-1671
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Abstract

Urban flood risks are intensifying due to climate change and rapid urbanization, necessitating robust countermeasures. However, there remains a lack of generalized or standardized methodologies to evaluate the effectiveness of such measures. To address this gap, this study proposes an integrated framework for assessing Urban Flood Risk Preparedness Capacity. The framework evaluates 'Potential Urban Flood Risk' using a Pressure-State-Response (PSR) indicator system, where weights are assigned via the CRITIC method and rankings are derived using the PROMETHEE II technique to generate a spatial priority map. Furthermore, 'Urban Flood Response Promptness' is quantified through a road network-based analysis utilizing closeness centrality to assess area-specific response capabilities. These two components are synthesized to establish a comprehensive Urban Flood Risk Preparedness Capacity Index. The application of this methodology demonstrated consistency with prior studies and historical damage records, thereby validating its feasibility. This framework is expected to serve as a universal and practical tool for identifying vulnerable areas and prioritizing policy and infrastructure investments in diverse urban settings.

Keywords
Urban flood
Urban flood risk preparedness capacity
Multi-Criteria Decision-Making (MCDM)
Network analysis

도시 침수 위험이 기후변화와 도시화로 증대되는 가운데, 도시침수에 대응하는 다양한 대응책이나 방법이 시행되고 있으나, 이러한 방법들에 대한 능력을 평가하는 일반화나 표준화된 방법론은 부재하다. 따라서 본 연구는 도시 침수 위험 대응 능력을 평가하는 통합 방법론을 제안한다. 잠재 도시 침수 위험은 PSR model을 통해 지표를 구성하고 CRITIC방법으로 가중치를 산정한 뒤 PROMETHEE II 기법을 이용하여 잠재적 도시침수 위험지역 순위 및 지수를 도출하였다. 도시 침수 대응 신속성은 도로망 기반 네트워크 분석의 근접 중심성으로 도시침수 대응능력이 높은 지역별 순위와 지수를 산정하였다. 또한 두 요소를 결합하여 최종적으로 도시 침수 위험 대응 능력 평가 지수를 산출하였다. 제안된 방법론 적용 결과 선행연구 및 실제 피해 사례와 일부 부합하여 방법의 적용 가능성을 확인하였다. 이 방법론은 도시별 취약·우선개선 지역을 식별하고 정책·인프라 투자 우선순위 설정을 지원하는 보편적·실용적 평가 프레임워크로 기능할 수 있을 것으로 기대된다.

키워드
도시침수
도시침수위험 대응능력
다기준의사결정기법
네트워크분석
References
1

Brans, J.P., and Vincke, P. (1985). “Note-A preference ranking organisation method: (The PROMETHEE method for multiple criteria decision-making).” Management Science, Vol. 31, No. 6, pp. 647-656.

2

Diakoulaki, D., Mavrotas, G., and Papayannakis, L. (1995). “Determining objective weights in multiple criteria problems: The critic method.” Computers & Operations Research, Vol. 22, No. 7, pp. 763-770.

10.1016/0305-0548(94)00059-H
3

Gupta, R., and Barman, A. (2022). “Capacity building & risk preparedness of urban community-an analysis on community-based disaster risk management in Silchar (India).” Open Access Repository, Vol. 8, No. 2, pp. 61-105.

4

Hwang, E., Choi, J., and Choi, D. (2018) “A study on the effective methods of securing the golden time of fire engine move out.” Journal of the Korean Society of Hazard Mitigation, Vol. 18, No. 5, pp. 119-126.

10.9798/KOSHAM.2018.18.5.119
5

Korea Meteorological Administration (KMA) (2023). Seoul metropolitan city climate change projection report, accessed 17 October 2025, <http://www.climate.go.kr>.

6

Lee, G.M., Choi, J.W., and Jun, K.S. (2020) “A study on urban flood vulnerability assesment considering social impact.” Vol. 11, No. 1, pp. 109-116.

7

Lee, H.N., Kim, D.H., Baek, S., Lee, J.H., and Kim, S.J. (2023a). “Grid-based flood risk assessment to determine flood risk ranking in urban river basins.” Journal of Digital Contents Society, Vol. 24, No. 11, pp. 2919-2927.

10.9728/dcs.2023.24.11.2919
8

Lee, S., Choi, Y., Ji, J., Lee, E., Yi, S., and Yi, J. (2023b). “Flood vulnerability assessment of an urban area: A case study in Seoul, South Korea.” Water, Vol. 15, No. 11, 1979.

10.3390/w15111979
9

Lee, S.M., Choi, Y.J., Lee, E.K., Ji, J.W., and Yi, J.E. (2022). “Development for rainfall classification based on local flood vulnerability using entropy weight in Seoul Metropolitan area.” Journal of Korea Water Resources Association, Vol. 55, No. 4, pp. 267-278.

10.3741/JKWRA.2022.55.4.267
10

Liu, D., Yang, Z., Xu, X., Wu, S., and Wang, Y. (2024). “Assessment and influencing factors of urban residents’ flood emergency preparedness capacity: An example from Jiaozuo City, China.” International Journal of Disaster Risk Reduction, Vol. 102, No. 2024, 104294.

10.1016/j.ijdrr.2024.104294
11

Organisation for Economic Co-operation and Development (OECD) (1993). Core set of indicators for environmental performance reviews: A synthesis report by the group on the state of the environment, accessed 15 December 2025, <https://one.oecd.org/document/OCDE/GD(93)179/en/pdf>.

12

Pazhuhan, M., and Amirzadeh, M. (2024). “Flood risk perception and disaster preparedness in marginalized flood-prone communities: Evidence from Saadi neighborhood, Shiraz, Iran,” Local Environment, Vol. 29, No. 5, pp. 680-704.

10.1080/13549839.2023.2300953
13

Romali, N.S., and Yusop, Z. (2021). “Flood damage and risk assessment for urban area in Malaysia,” Hydrology Research, Vol. 52, No. 1, pp. 142-159.

10.2166/nh.2020.121
14

Sawangnate, C., Chaisri, B., and Kittipongvises, S. (2022). “Flood hazard mapping and flood preparedness literacy of the elderly population residing in Bangkok, Thailand.” Water, Vol.14, No. 8, 1268.

10.3390/w14081268
15

Seoul Digital Foundation (SDF) (2023). Analysis of flood-prone areas for preparedness against torrential rain damage, accessed 17 October 2025, <https://sdf.seoul.kr/research-report/2290>.

16

Seoul Metropolitan Library (SML) (2019). Seoul city disaster prevention performance analysis and prediction system improvement plan (Basic Plan) report, accessed 17 October 2025, <https://lib.seoul.go.kr/s/bSrwXB6>.

17

Shah, A.A., Shaw, R., Ye, J., Abid, M., Amir, S.M., Pervez, A.K., and Naz, S. (2019). “Current capacities, preparedness, and needs of local institutions in dealing with disaster risk reduction in Khyber Pakhtunkhwa, Pakistan.” International Journal of Disaster Risk Reduction, Vol.34, pp. 165-172.

10.1016/j.ijdrr.2018.11.014
18

Song, Y.S., Park, J.P., Kim, H.Y., Jeong, S.M., and Park, M.J. (2020). “Development of flood vulnerability assessment method considering urban characteristics: Daegu Metropolitan City.” Journal of the Korean Society of Hazard Mitigation, Vol. 20, No. 6, pp. 353-360.

10.9798/KOSHAM.2020.20.6.353
19

Zafarani, R., Abbasi, M.A., and Liu, H. (2014). Social media mining: An introduction. Cambridge University Press, Cambridge, England, pp. 51-63.

10.1017/CBO9781139088510
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 58
  • No :12
  • Pages :1661-1671
  • Received Date : 2025-10-31
  • Revised Date : 2025-12-03
  • Accepted Date : 2025-12-03
  • DOI :https://doi.org/10.3741/JKWRA.2025.58.S-4.1661
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