Master of Science in Construction Management
Pramen P. Shrestha, Committee Chair
First Committee Member
David R. Shields
Second Committee Member
Neil D. Opfer
Graduate Faculty Representative
Nancy N. Menzel
Number of Pages
Construction projects typically are not withdrawn after going into the competitive bidding process. The decision of contracting authorities regarding which projects will proceed to the bidding stage depends, in part, upon the early estimates of probable cost. Efforts are made to make this estimate as realistic as possible. Irrespective of the estimate of probable cost, the actual project cost is established by the amount of the winning bid.
This study analyzed historical bid data of street construction projects undertaken by the Public Works Department, Clark County, Nevada, from 1991 through 2006. The focus of this study was on utilizing statistical models to develop improved methodologies for predicting bid-item unit pricing and reducing variances resulting in large discrepancies between project estimates and actual bid-award amounts. A regression model was developed to improve predictions of actual project costs based on calculations using all bid items. The resulting models were incorporated into a database and integrated into a computer software program to facilitate the predictive process for future projects.
Bid predictions; Costs; Databases; Estimations; Information technology; Prediction models; Public Works Department; Clark County; Nevada; Regression models; Road work; Street construction projects
Civil Engineering | Construction Engineering and Management
Pradhananga, Nipesh, "Quantity-based cost forecasting system for street construction projects" (2009). UNLV Theses, Dissertations, Professional Papers, and Capstones. 177.