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Network analysis for assessing urban resilience from the perspective of urban flooding: case study of Seoul, Korea

도시침수 관점에서의 도시회복력 평가를 위한 네트워크 분석: 서울특별시 중심으로

  • Park, HyungJun (Department of Civil Engineering, Hongik University) ;
  • Song, Sumin (Department of Civil Engineering, Hongik University) ;
  • Kim, DongHyun (Department of Civil Engineering, Hongik University) ;
  • Lee, Seung Oh (Department of Civil Engineering, Hongik University)
  • Received : 2024.03.03
  • Accepted : 2024.05.14
  • Published : 2024.06.30

Abstract

The quantification methods and definitions of resilience vary and are studied across many fields. However, this diversity can lead to gaps in interpretation regarding the meaning and indicators of resilience, potentially having a negative impact on resilience assessments. Therefore, uniform standards for defining and quantifying resilience are essential. This study presented a definition of resilience and socio-structural evaluation methods of resilience through network analysis. Furthermore, through analyzing various definitions of resilience, the definition of resilience in the context of urban flooding was presented. Distinguishing between static and dynamic resilience, an evaluation method based on common attributes was proposed. Lastly, the economic effects of introducing resilience were analyzed using an inundation trace map. Future research on the secondary effects through standardized resilience assessments is expected to be widely utilized in decision-making stages within urban flood policies.

회복력의 정량화방법과 정의는 다양하며 많은 분야에서 연구되어지고 있다. 하지만 이러한 다양성은 회복력의 의미, 지표 등에서 해석의 차이를 유발하여 회복력 평가 시 긍정적이지 않은 영향을 끼칠 수 있다. 따라서 회복력 평가의 일관성 있는 기준이 필요하며 본 연구에서는 회복력 평가에 있어 고려해야될 정의와 회복력의 사회·구조적 평가방법을 네트워크 분석을 통해 검토하였다. 다양한 회복력 정의의 분석을 통해 도시침수분야에서 의 회복력을 정의하였으며 회복력을 정적 및 동적 회복력으로 구별하여 일관성 있는 속성별 평가 방법을 제시하였다. 그리고 과거 침수흔적도를 활용하여 회복력을 도입함으로써 얻을 수 있는 경제적인 효과를 분석하였다. 평가지역의 대부분은 낮음등급으로 나타났으며 최대 약 96억원의 복구 비용이 발생하였다. 향후 통일된 기준의 회복력평가를 통한 2차적인 파급효과에 대한 연구가 수행된다면 도시침수 관리정책 내 의사결정 단계 등에서 다양하게 활용될 것으로 기대된다.

Keywords

Acknowledgement

본 결과물은 환경부의 재원으로 한국환경산업기술원의 기후위기대응 홍수방어능력 기술개발사업의 지원을 받아 연구되었습니다(2022003470001).

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