Prediction of cost and schedule performance in post-hurricane reconstruction of transportation infrastructure.

ABSTRACT: This study aimed to develop predictive models that could be used to estimate the cost and schedule performance of reconstruction of transportation infrastructure damaged by hurricanes and to determine the predictors that are robustly connected to the developed models. Stepwise multiple linear regression and extreme bound analysis (EBA) were used to develop the models and determine the robust and fragile predictors, respectively. The results demonstrated that seven cost performance predictors and nine schedule performance predictors accounted for Adjusted R-Squared of 92.4% and 99.2%, respectively. The results of the EBA revealed that four cost and seven performance predictors were robustly connected to the developed cost and schedule performance predictive models. It was concluded that inc

SUBMITTER: Safapour E 

PROVIDER: S-EPMC10057790 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature