Table 1.
Main causes of reconstruction failures after disasters.
Fig 1.
Overview of the study procedure.
Table 2.
List of potential cost and schedule performance predictors and type of survey questions.
Table 3.
Respondents’ demographic information.
Fig 2.
Illustration of EBA null hypothesis.
Fig 3.
Damage level of transport infrastructure by hurricanes.
Table 4.
Descriptive data analysis.
Table 5.
Comparison of variables with continuous data in reconstruction projects with good and poor cost performance.
Fig 4.
Comparison of scores of reconstruction cost performance predictors- Likert-scale data.
Table 6.
Comparison of variables with continuous data in reconstruction projects with good and poor schedule performance.
Fig 5.
Comparison of scores of reconstruction schedule performance predictors- Likert-scale data.
Table 7.
Results of stepwise multiple linear regression for cost performance in reconstruction projects.
Table 8.
Summary of model variables for cost performance in reconstruction projects.
Table 9.
Results of stepwise multiple linear regression for schedule performance in reconstruction projects.
Table 10.
Summary of model variables for schedule performance in reconstruction projects.
Table 11.
Results of EBA analysis for cost performance predictors.
Fig 6.
Schematic results of EBA for reconstruction cost performance predictors.
Table 12.
Results of EBA analysis for schedule performance predictors.
Fig 7.
Schematic results of EBA for reconstruction schedule performance predictors.
Fig 8.
Comparative analysis of cost and schedule performance predictors.
Fig 9.
Comparative analysis of robust cost and schedule performance predictors.
Table 13.
Data from two case studies.