Award Date

December 2017

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Civil and Environmental Engineering and Construction

First Committee Member

Pramen P. Shrestha

Second Committee Member

Hualiang Teng

Third Committee Member

Mohamed Kaseko

Fourth Committee Member

Jin Ouk Choi

Fifth Committee Member

Ashok K. Singh

Number of Pages

116

Abstract

Cost and schedule savings are the main measures of a project’s success. Several factors affect the cost and schedule performances in a construction project, such as design changes, material, labor and equipment shortages, unpredictable weather conditions, and errors & omissions in contract documents.Some studies have shown that either the construction cost or the schedule performance of a project was dependent on the procurement factors, namely: bid cost, number of bidders, the bid cost deviation between the first and second bidder, the liquidated damage rate per day, the type of a contract, and the project location. However, a comprehensive study on the combined effect of procurement factors on performance metrics has not been yet conducted. Therefore, this study collected all the available contract procurement factors to determine the combined effect of these factors on the construction cost and the schedule performances. In addition, the multiple linear regression models within the study were developed to predict the performance metrics based on these factors.

For this study, the project data completed between the year 2000 and 2016 were collected from two state department of transportations (DOTs): Texas and Florida. The results showed that not only cost growth but also schedule growth had a significant correlation between the liquidated damage rate per day, the type of a contract funding, the type of a contractor, and the location of a project. The validation process showed that the models developed during this study could predict project performance metrics accurately. Further research is recommended with more state DOTs data to check whether the relationships between the procurement factors and project performance metrics are similar to those found in this study.

Disciplines

Civil Engineering

Language

English


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