Developing a Construction-Duration Model Based on a Historical Dataset for Building Project

Abstract The delay of vast building projects is still a common problem. This situation is extraordinarily severe to steel reinforced concrete (SRC) building projects that keep going to promote a new structure system in Taiwan's construction industry. The aim of this study is to develop a feasible contract duration model based upon few SRC building cases. A logical approach is employed to select and assure the “good” regression model identified when project characteristics were known and external uncertainties were reasonably estimated. Different necessary diagnostics had been adopted to examine the aptness of the model before inference. The cross-validation is used to validate the appropriateness of the variables selected and magnitudes of the regression coefficients. The mean of the square prediction errors (MSPR) is selected to measure the predictive ability of the model proposed, and the result shows that the predictive ability of the selected regression model could be adequate. Finally, several cases ...