Abstract:
This study aims at developing productivity estimating model for basecoarse works of road construction projects using multiple regression techniques. The model was developed based on 63 set of data collected in the West Bank in Palestine. This model type is very useful, especially in its simplicity and ability to be handled by calculator or a simple computer program. It has a good benefit in productivity estimating since the information needed could be extracted easily from scope definition of the projects. The developed MLR model can predict the productivity of basecoarse works for road construction with high degree of accuracy with 94.75% and the coefficients of determination R2 equal to 0.93. This indicates that the relationship between the independent and dependent variables of the developed model is good and the predicted values from a forecast model fit with the real-life data.
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