Uncertainty analysis of rework predictors in post-hurricane reconstruction of critical transportation infrastructure

Elnaz Safapour, Sharareh Kermanshachi

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8 Scopus citations

Abstract

The aims of this study are to identify the factors that contribute to occurrence of reworks in the reconstruction of transportation infrastructure following hurricanes, develop a model for predicting the costs associated with these reworks. In addition, this study determined the robustness and fragility of each rework predictor. Therefore, the stepwise multiple regression and extreme bound analysis (EBA) methods were adopted. The results demonstrated that the influential predictors are distance from highly-populated areas, shortage of laborers, logistics management, frequency of inspections, information management, coordination, environmental/safety issues, work suspensions, regulatory requirements, and temporary pathways. The outcomes provide accurate information that will be helpful in preventing/mitigating the cost of reworks in reconstruction of transport infrastructure.

Original languageEnglish (US)
Article number100194
JournalProgress in Disaster Science
Volume11
DOIs
StatePublished - Oct 2021

All Science Journal Classification (ASJC) codes

  • Environmental Science (miscellaneous)
  • Geography, Planning and Development
  • Safety Research
  • Earth and Planetary Sciences (miscellaneous)

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