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Uncertainty analysis of rework predictors in post-hurricane reconstruction of critical transportation infrastructure
2021
Progress in Disaster Science
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
doi:10.1016/j.pdisas.2021.100194
fatcat:dqlmolbzxncole4dnvxmrtxkoy