Identification and Assessment of Risk Factors Affecting Post Disaster Reconstruction Projects

Demirci F. S., Okudan O., Işık Z.

8th International Project and Construction Management Conference (IPCMC2024), İstanbul, Turkey, 6 - 08 June 2024, pp.300-311

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.300-311
  • Yıldız Technical University Affiliated: Yes


The increasing pace of climate change and urbanization has recently maximized the severity and frequency of disasters. Natural disasters pose a serious threat to society by deteriorating the societies’ physical, environmental, economic, and social wellness. Post-disaster reconstruction projects are often deemed as key to relieving these stresses on the societies since these projects are commenced rapidly after a disaster to replace damaged social and critical infrastructures. Considering that post-disaster reconstruction projects are fast-tracked projects that are undertaken in a dynamic and turbulent post-disaster environment, they become vulnerable to a variety of risks stemming from the uncertainties. These risks should be identified and assessed properly to avoid cost overruns and substantial delays in these projects. Otherwise, full recovery of a community from a disaster can hardly be achieved. Examining the existing literature, risks that exist in the post-disaster reconstruction projects have not been identified and assessed, which, in turn, decision-makers are provided with limited knowledge about the potential risks of these projects. Thus, this study aims to identify and assess the risks that exist in post-disaster reconstruction projects. An in-depth literature review was initially conducted to get deep insight into studies focusing on post-disaster reconstruction projects. Next, the knowledge acquired during this literature review was used to synthesize risk factors that may escalate in these projects. Following this, a questionnaire survey was conducted with the participation of construction practitioners to assess the relative importance of the risks that were identified through the literature review. Lastly, the fuzzy TOPSIS method was implemented to analyze the collected data.