DOI QR코드

DOI QR Code

재난 후 재건사업의 영향요인에 관한 분석 - 재건접근 단계를 중심으로 -

Analysis of Influencing factors Post-Disaster Reconstruction Projects - Focused on the Reconstruction Approach phase -

  • 김화랑 (한국건설산업연구원 산업정책연구실) ;
  • 이광표 (한국건설산업연구원 산업정책연구실) ;
  • 전영준 (한국건설산업연구원 산업정책연구실) ;
  • 장현승 (서울과학기술대학교 건축학부)
  • Kim, Hwarang (Department of Industrial Policy Research, Construction & Economy Research Institute of Korea) ;
  • Lee, Kwangpyo (Department of Industrial Policy Research, Construction & Economy Research Institute of Korea) ;
  • Jun, Youngjoon (Department of Industrial Policy Research, Construction & Economy Research Institute of Korea) ;
  • Jang, Hyounseung (Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology)
  • 투고 : 2022.01.19
  • 심사 : 2022.02.03
  • 발행 : 2022.03.31

초록

최근 자연재해 발생빈도 증가로 막대한 인적 및 물적 피해가 발생함에 따라 재난관리에 관한 중요성이 증가하고 있다. 특히 발전적 재건 개념에 관한 중요성이 증가함에 따라 재건설 시 이에 관한 고려가 필요할 것으로 판단된다. 따라서 본 연구는 재난 후 재건설의 재건접근 단계 시 고려되어야 하는 영향요인에 관한 도출과 국외 재난 관련 전문가를 대상으로 한 설문조사를 통하여 영향요인별 상대적 중요도 평가와 상관분석을 수행하였다. 분석결과 가장 중요한 영향요인으로 '미래 환경변화에 대한 적응성'이 도출되었다. 본 연구 결과는 재건사업 수행 시 기초자료로 활용이 가능할 것으로 판단된다.

Recently, as the frequency of natural disasters has increased, causing enormous human and material damage, the importance of managing disasters is emphasized. In particular, as the concept of Build Back Better becomes meaningful, it has appeared that considering it during Post-disaster Reconstruction is a necessity. Therefore, in this study, the relative importance evaluation and correlation analysis were performed for each influencing factor through the derivation of the influencing factors that should be considered during the reconstruction approach stage of reconstruction after disasters, and a survey of overseas disaster-related experts. As a result of the analysis, 'Adaptability to the environment changes in the future was derived as the most significant influencing factor. It seems that the results of this study can be used as basic data when carrying out the reconstruction project.

키워드

과제정보

이 논문은 2020년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(No. NRF-2020R1C1C1011655).

참고문헌

  1. Al-Quershi, M.T., and Kishore, R. (2017). "Claim causes and types in indian construction Industry-Contractor's perspective," American Journal of Civil Engineering and Architecture, 5(5), pp. 196-203. https://doi.org/10.11648/j.ajce.20170504.11
  2. Amaratunga, D., and Haigh, R.P. (2011). "Introduction", in Amaratunga, D. and Haigh, R.P. (Eds).
  3. Carter, W.N. (2008). Asian Development Bank, Metro Manila., pp. 101-185.
  4. Chan, D.W., and Kumaraswamy, M.M. (1997). "A comparative study of causes of time overruns in Hong Kong construction projects," International Journal of project management, 15(1), pp. 55-63. https://doi.org/10.1016/S0263-7863(96)00039-7
  5. Chang, Y., Wilkinson, S., Potangaroa, R., and Seville, E. (2011). "Identifying factors affecting resource avaiability for post-disaster reconstruction: a case study in China," Constrcution Management and Economics, 29(1), pp. 37-48. https://doi.org/10.1080/01446193.2010.521761
  6. Collaborative, E.P. (2004). "Participatory planning guide for post-disaster reconstruction." EPC-Environmental Planning Collaborative, TCG International, LLC, pp. 1-22.
  7. Da Silva, J. (2010). Key considerations in post-disaster reconstruction, Practical Action Publishing, UK.
  8. Enshassi, A., and Zaiter, M.A. (2013). "Self-help approach in housing reconstruction and beneficiaries satisfaction in Palestine," In Proceedings of the international symposium on new technologies for urban safety of mega cities in Asia, pp. 9-11.
  9. Enshassi, A., Chatat, T., Von Meding, J., and Forino, G. (2017). "Factors influencing post-disaster reconstruction project management for housing provision in the Gaza Strip, Occupied Palestinian Territories," International Journal of Disaster Risk Science, 8(4), pp. 402-414. https://doi.org/10.1007/s13753-017-0155-4
  10. Felix, D., Branco, J.M., and Feio, A. (2013). "Temporary housing after disasters: A state of the art survey," Habitat International, 40, pp. 136-141. https://doi.org/10.1016/j.habitatint.2013.03.006
  11. GFDRR (Global Facility for Disaster Reduction and Recovery). (2017). Post-Disaster Needs Assessments Guidelines Volume B: Community Infrastructure.
  12. Hallegatte, S., Rentschler, J., and Walsh, B. (2018). Building Back Better. World Bank, Washington, DC.
  13. Hayles, C.S. (2010). "An examination of decision making in post disaster housing reconstruction," International Journal of Disaster Resilience in the Built Environment. 1(1), pp. 103-122 https://doi.org/10.1108/17595901011026508
  14. Ismail, D., Majid, T.A., Roosli, R., and Ab Samah, H.N. (2014). "A review of project management for post-disaster reconstruction project: from international NGOs (INGOs) perspective." Research in Civil and Environmental Engineering, 2(4), pp. 199-215.
  15. Ismail, D., Majid, T., and Roosli, R. (2017). "Analysis of Variance of the Effects of a Project's Location on Key Issues and Challenges in Post-Disaster Reconstruction Projects." Economies, 5(4), : 46. https://doi.org/10.3390/economies5040046
  16. Jenkins, S. (2015). "Resilience: The new paradigm in disaster management-An Australian perspective." World Journal of Engineering and Technology, 3(03), pp. 129-139. https://doi.org/10.4236/wjet.2015.33C020
  17. Jha, A.K. (2010). Safer homes, stronger communities: a handbook for reconstructing after natural disasters. The World Bank. Washington DC
  18. Kim, H.R., (2019). "Toward a Framework for Project Management of Post-Disaster Reconstruction Projects." P.h. thesis, Seoul National University of Science and Technology.
  19. Labadie, J.R. (2008). "Auditing of post-disaster recovery and reconstruction activities," Disaster Prevention and Management, 17(5), pp. 575-586. https://doi.org/10.1108/09653560810918612
  20. Le, K.N., and Tam, V.W.Y. (2007). "A survey on effective assessment methods to enhance student learning." Australasian Journal of Engineering Education, 13(2), pp. 13-20. https://doi.org/10.1080/22054952.2007.11464004
  21. Mizutori, M., and Guha-Sapir, D. (2020). Human Cost of Disasters: An Overview of the Last 20 years (2000-2019). Centre for Research on the Epidemiology of Disasters (CRED) and United Nations Office for Disaster Risk Reduction (UNDRR), Belgium and Switzerland.
  22. Muhammad, C., and Kashif, M. (2012). Analysis of Causes of Success and Failure of Post Disaster Reconstruction Projects.
  23. Nunnally, J.C. (1978). Psychometric Theory 2nd Edition, McGraw-Hill, New York.
  24. Operations, E., and Team, E.R. (2011). How-to guide: Managing post-disaster (re)-construction projects. Baltimore, MD: Catholic Relief Services.
  25. Ophiyandri, T., Amaratunga, D., Pathirage, C., and Keraminiyage, K. (2013). "Critical success factors for community-based post-disaster housing reconstruction projects in the pre-construction stage in Indonesia," International Journal of Disaster Resilience in the Built Environment, 4(2), pp. 236-249. https://doi.org/10.1108/IJDRBE-03-2013-0005
  26. Post-disaster Reconstruction of the Built Environment: Rebuilding for Resilience, Wiley, Chichester, pp. 1-12.
  27. Rawal, V., and Prajapati, D. (2007). Assessing Damage After Disasters: A Participatory Framework and Toolkit. Unnati--Organisation for Development Education.
  28. Simonovic, S.P., and Peck, A. (2013). "Dynamic resilience to climate change caused natural disasters in coastal megacities quantification framework." International Journal of Environment and Climate Change, pp. 378-401.
  29. Schneider, C. (2012). Sustainable Reconstruction in Urban Areas: A Handbook International Federation of Red Cross And Red Crescent Societies, Geneva.
  30. Sun, C., and Xu, J. (2011). "Estimation of time for Wenchuan Earthquake reconstruction in China," Journal of Construction Engineering and Management, 137(3), pp. 179-187. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000277
  31. Von Meding, J., Wong, J., Kanjanabootra, S., and Tafti, M.T. (2016). Competence-based system development for post-disaster project management. Disaster prevention and management, 25(3), pp. 375-394. https://doi.org/10.1108/DPM-07-2015-0164