Please use this identifier to cite or link to this item: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(75)
Title: Predicting performance of design-build and design-bid-build projects
Authors: Ling, F.Y.Y. 
Chan, S.L. 
Chong, E.
Ee, L.P.
Keywords: Design/build
Models
Performance evaluation
Project management
Issue Date: 2004
Source: Ling, F.Y.Y., Chan, S.L., Chong, E., Ee, L.P. (2004). Predicting performance of design-build and design-bid-build projects. Journal of Construction Engineering and Management 130 (1) : 75-83. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(75)
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.
Source Title: Journal of Construction Engineering and Management
URI: http://scholarbank.nus.edu.sg/handle/10635/45799
ISSN: 07339364
DOI: 10.1061/(ASCE)0733-9364(2004)130:1(75)
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