Predicting Performance of Design-Build and Design-Bid-Build Projects
by Florence Yean Yng Ling, (Asst. Prof., Dept. of Bldg., Natl. Univ. of Singapore, 4 Architecture Dr., Singapore 117566 (corresponding author). E-mail: bdglyy@nus.edu.sg), Swee-Lean Chan, (Asst. Prof., Dept. of Bldg., Natl. Univ. of Singapore, 4 Architecture Dr., Singapore 117566. E-mail: bdgcsl@nus.edu.sg), Edwin Chong, (Res. Asst., Dept. of Bldg., Natl. Univ. of Singapore, 4 Architecture Dr., Singapore 117566), and Lee Ping Ee, (Res. Asst., Dept. of Bldg., Natl. Univ. of Singapore, 4 Architecture Dr., Singapore 117566)
Journal of Construction Engineering and Management, Vol. 130, No. 1, January/February 2004, pp. 75-83, (doi 10.1061/(ASCE)0733-9364(2004)130:1(75))
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| Document type: |
Journal Paper |
| Abstract: |
Design-build (DB) and design-bid-build (DBB) are two principal project delivery systems used in many countries. This paper reports on models constructed to predict performance of DB and DBB projects on 11 areas, using project-specific data collected from 87 building projects. The study included collecting, checking, and validating industry data, and the statistical development of multivariate linear regression models for predicting project performance. Robust models are developed to predict construction and delivery speeds of DB and DBB projects. Gross floor area of the project is the most significant factor affecting speed. Besides this, for DBB projects, contractors’ design ability, and adequacy of plant and equipment would ensure speedy completion of the projects. For DB projects, if the contract period is allowed to vary during tender evaluation, this would slow down the project. Robust models to predict turnover and system quality of DB projects are also constructed. A DB contractor’s track record is an important variable. They must have completed past projects to acceptable quality and have ability in financial, health and safety management. |
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