Interdependence analysis of schedule-cost-change-productivity-risk-quality associated with critical highway rehabilitation projects.

Advanced statistical analyses including a non-linear regression analysis built in a set of clusters with the goal of (1) analyzing the macroeconomic performance of the construction industry as a whole and at fourteen of its sub-sectors in terms of labor productivity, gross margin, and worker’s wages and (2) developing a quantitative model that predicts a firm’s profitability by analyzing various levels of labor productivity and taking crucial external factors into account. 

Schedule/cost/traffic integrated tradeoff analysis to devise the most feasible and economical scenarios for high-impact urban highway rehab projects: helping TxDOT choose the most realistic contract times and transportation management plans, resulting in immediate, tangible monetary savings in road user costs and agency costs.