DOI QR코드

DOI QR Code

복합재해 발생 예상 시 지방도로 중심의 재난 레질리언스 평가체계 구축

Establishment of Evaluation System for Disaster Resilience Focusing on the Local Road under Complex Disaster

  • 김영환 (강원대학교 방재전문대학원) ;
  • 전계원 (강원대학교 방재전문대학원)
  • Kim, Young-Hwan (Graduate School of Disaster Prevention, Kangwon National University) ;
  • Jun, Kye-Won (Graduate School of Disaster Prevention, Kangwon National University)
  • 투고 : 2020.10.01
  • 심사 : 2020.12.07
  • 발행 : 2020.12.31

초록

전 세계적으로 레질리언스의 중요성이 부각되고 있음에도 자연재해와 관련된 레질리언스의 단일정의는 명확하지 않은 실정이다. 그 이유는 레질리언스의 정의가 취약성, 복구, 적응력, 지속가능성과 같은 유사한 용어와 어떻게 관련되어 있는지에 대한 상관성에 대한 구체적인 정의가 없기 때문이다. 또한 국가와 지역마다 지형·지질학적 특성이 다르고 태풍과 가뭄, 지진의 재해종류가 다르듯 이에 대한 각각의 측정지표가 다르기 때문이다. 따라서 본 연구에서는 레질리언스의 정의를 본 연구의 공간적인 특성을 반영하여 '지방도로 또는 인명이나 시설물이 인접해 있는 지방도로에서 발생하는 복합재해(집중호우, 산사태, 토석류)에 대한 복원능력으로 정의하고 이를 도로중심 재난 레질리언스(DRR : Disaster Resilience focusing on the Road)로 구분하였다. 또한 도로중심 재난 레질리언스 인자의 도출을 위해 국내·외 문헌조사를 실시하였고, DRR평가체계 구축을 위한 계층구조 설정 및 AHP설문조사를 실시하였다. AHP설문 분석결과 지방도로 내부에 위치하고 있는 도로재난 직접영향인자(배수시설, 방호시설 등)의 가중치는 0.742로 나타났고, 지방도로 인근에 위치하고 있는 도로재난 간접영향인자(인구, 재산 등)의 가중치는 0.258로 나타나 도로재난 직접영향인자가 간접영향인자보다 상대적으로 높게 분석되었다.

Although the importance of resilience is emerging around the world, the single definition of resilience related to natural disasters is not clear. The reason for this is that there is no specific definition of how the definition of resilience relates to similar terms such as vulnerability, recovery, adaptability, and sustainability. In addition, it is because each country and region have different geographic and geological characteristics, and each measurement index is different, just as typhoons, droughts, and earthquakes have different types of disasters. Therefore, in this study, the definition of resilience is reflected in the spatial characteristics of this study as the ability to recover from'complex disasters (concentrated heavy rain, landslides, earth and stone flows) occurring on local roads or on local roads adjacent to people or facilities. Defined. And it was divided into DRR: Disaster Resilience focusing on the Road. In addition, domestic and foreign literature surveys were conducted to derive road-centered disaster resilience factors, and a hierarchical structure was established and AHP survey was conducted to establish a DRR evaluation system. As a result of the analysis of the AHP survey, the weight of direct road disaster influencing factors (drainage facilities, protection facilities, etc.) located inside local roads was 0.742, and the weight of indirect road disaster influencing factors (population, property, etc.) located near local roads. Was found to be 0.258, indicating that the direct impact factor of road disaster was relatively higher than that of the indirect impact factor.

키워드

과제정보

This research was supported by a grant (19CTAP-C141846-02) from Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure and Transport of Korean Government.

참고문헌

  1. Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., and Webb, J. (2008). A Place-based Model for Understanding Community Resilience to Natural Disasters. Global Environmental Change. 18(4): 598-606. https://doi.org/10.1016/j.gloenvcha.2008.07.013
  2. Cutter, S. L., Burton, C. G., and Emrich, C. T. (2010). Disaster Resilience Indicators for Benchmarking Baseline Conditions. Journal of Homeland Security and Emergency Management. 7(1).
  3. Godschalk, D. R. (2003). Urban Hazard Mitigation: Creating Resilient Cities. Natural Hazards Review. 4(3): 136-143. https://doi.org/10.1061/(ASCE)1527-6988(2003)4:3(136)
  4. Han, W. S. and Yu, J. W. (2015). Directions for Establishing Disaster Prevention Resilience in Response to Climate Change Disasters. National Territorial Policy Brief. 518: 1-8.
  5. Holling, C. S. (1973). Resilience and Stability of Ecological Systems. Annual Review of Ecology and Systematics. 4(1): 1-23. https://doi.org/10.1146/annurev.es.04.110173.000245
  6. Jeon, E. Y. and Byun, B. S. (2017). A Study on the Development and Application of Community Resilience Evaluation Indicators for Responding to Climate Change. The Korean Association of Professional Geographers. 51(1): 47-58.
  7. Ministry of the Interior and Safety (2018). Disaster Risk Assessment Criteria for Steep Slopes. Sejong: Ministry of the Interior and Safety.
  8. Nations, U. (2009). UNISDR Terminology on Disaster Risk Reduction. United Nations Office for Disaster Risk Reduction, Report. Switzerland: UNISDR.
  9. Pelling, M. (2003). The Vulnerability of Cities. Natural Disasters and Social Resilience London: Earthscan. London: Earthscan.
  10. Timmerman, P. (1981). Vulnerability Resilience and Collapse of Society. A Review of Models and Possible Climatic Appli-cations. Toronto, Canada. Institute for Environmental Studies, University of Toronto.
  11. UNISDR, M. (2009). UNISDR Terminology for Disaster Risk Redution. United Nations International Strategy for Disaster Reduction (UNISDR) Geneva. Switzerland: UNISDR.
  12. U.S. Army Corps of Engineers. (2018). Appendix a Usace Hurricane Debris Estimating Model. United States of America: U.S. Army Corps of Engineers.