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Abdallah, M, El-Rayes, K and Liu, L (2016) Minimizing Upgrade Cost to Achieve LEED Certification for Existing Buildings. Journal of Construction Engineering and Management, 142(02).
Ahmed, M O, El-adaway, I H, Coatney, K T and Eid, M S (2016) Construction Bidding and the Winner’s Curse: Game Theory Approach. Journal of Construction Engineering and Management, 142(02).
Aljassmi, H, Han, S and Davis, S (2016) Analysis of the Complex Mechanisms of Defect Generation in Construction Projects. Journal of Construction Engineering and Management, 142(02).
AlMaian, R Y, Needy, K L, Walsh, K D and Alves, T d C L (2016) A qualitative data analysis for supplier quality-management practices for engineer-procure-construct projects. Journal of Construction Engineering and Management, 142(02), 04015061.
Arroyo, P, Tommelein, I D and Ballard, G (2016) Selecting Globally Sustainable Materials: A Case Study Using Choosing by Advantages. Journal of Construction Engineering and Management, 142(02).
Austin, R B, Pishdad-Bozorgi, P and de la Garza, J M (2016) Identifying and Prioritizing Best Practices to Achieve Flash Track Projects. Journal of Construction Engineering and Management, 142(02).
Baqerin, M H, Shafahi, Y and Kashani, H (2016) Application of Weibull Analysis to Evaluate and Forecast Schedule Performance in Repetitive Projects. Journal of Construction Engineering and Management, 142(02).
Chen, Q, Jin, Z, Xia, B, Wu, P and Skitmore, M (2016) Time and Cost Performance of Design–Build Projects. Journal of Construction Engineering and Management, 142(02).
- Type: Journal Article
- Keywords: Delivery; Design–build; Construction industry; Time performance; Cost performance; Project characteristics; Contracting;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001056
- Abstract:
The design–build (DB) delivery method has been widely used in the United States due to its reputed superior cost and time performance. However, rigorous studies have produced inconclusive support and only in terms of overall results, with few attempts being made to relate project characteristics with performance levels. This paper provides a larger and more finely grained analysis of a set of 418 DB projects from the online project database of the Design–Build Institute of America (DBIA), in terms of the time-overrun rate (TOR), early start rate (ESR), early completion rate (ECR), and cost overrun rate (COR) associated with project type (e.g., commercial/institutional buildings and civil infrastructure projects), owners (e.g., Department of Defense and private corporations), procurement methods (e.g., best value with discussion and qualifications-based selection), contract methods (e.g., lump sum and GMP) and LEED levels (e.g., gold and silver). The results show best value with discussion to be the dominant procurement method and lump sum the most frequently used contract method. The DB method provides relatively good time performance, with more than 75% of DB projects completed on time or before schedule. However, with more than 50% of DB projects cost overrunning, the DB advantage of cost saving remains uncertain. ANOVA tests indicate that DB projects within different procurement methods have significantly different time performance and that different owner types and contract methods significantly affect cost performance. In addition to contributing to empirical knowledge concerning the cost and time performance of DB projects with new solid evidence from a large sample size, the findings and practical implications of this study are beneficial to owners in understanding the likely schedule and budget implications involved for their particular project characteristics.
Chiang, Y H, Li, V J, Zhou, L, Wong, F and Lam, P (2016) Evaluating Sustainable Building-Maintenance Projects: Balancing Economic, Social, and Environmental Impacts in the Case of Hong Kong. Journal of Construction Engineering and Management, 142(02).
Choi, K, Lee, H W, Mao, Z, Lavy, S and Ryoo, B Y (2016) Environmental, Economic, and Social Implications of Highway Concrete Rehabilitation Alternatives. Journal of Construction Engineering and Management, 142(02).
Dang, T and Bargstädt, H (2016) 4D Relationships: The Missing Link in 4D Scheduling. Journal of Construction Engineering and Management, 142(02).
De Marco, A, Rafele, C and Thaheem, M J (2016) Dynamic Management of Risk Contingency in Complex Design-Build Projects. Journal of Construction Engineering and Management, 142(02).
Hasan, A and Jha, K N (2016) Acceptance of the Incentive/Disincentive Contracting Strategy in Developing Construction Markets: Empirical Study from India. Journal of Construction Engineering and Management, 142(02).
He, W, Tang, W, Wei, Y, Duffield, C F and Lei, Z (2016) Evaluation of Cooperation during Project Delivery: Empirical Study on the Hydropower Industry in Southwest China. Journal of Construction Engineering and Management, 142(02).
Hyari, K H (2016) Handling Unbalanced Bidding in Construction Projects: Prevention Rather Than Detection. Journal of Construction Engineering and Management, 142(02).
Jarkas, A M (2016) Effect of Buildability on Labor Productivity: A Practical Quantification Approach. Journal of Construction Engineering and Management, 142(02).
Jiang, H, Lin, P and Qiang, M (2016) Public-Opinion Sentiment Analysis for Large Hydro Projects. Journal of Construction Engineering and Management, 142(02).
Jin, R, Han, S, Hyun, C and Cha, Y (2016) Application of Case-Based Reasoning for Estimating Preliminary Duration of Building Projects. Journal of Construction Engineering and Management, 142(02).
Kim, T, Lee, H W and Hong, S (2016) Value Engineering for Roadway Expansion Project over Deep Thick Soft Soils. Journal of Construction Engineering and Management, 142(02).
Leung, M, Yu, J and Chong, M L A (2016) Effects of Stress and Commitment on the Performance of Construction Estimation Participants in Hong Kong. Journal of Construction Engineering and Management, 142(02).
Lim, T, Park, S, Lee, H and Lee, D (2016) Artificial Neural Network–Based Slip-Trip Classifier Using Smart Sensor for Construction Workplace. Journal of Construction Engineering and Management, 142(02).
Lines, B C, Sullivan, K T and Wiezel, A (2016) Support for Organizational Change: Change-Readiness Outcomes among AEC Project Teams. Journal of Construction Engineering and Management, 142(02).
Liu, Y and Yeh, I (2016) Building Valuation Model of Enterprise Values for Construction Enterprise with Quantile Neural Networks. Journal of Construction Engineering and Management, 142(02).
Oh, E H, Naderpajouh, N, Hastak, M and Gokhale, S (2016) Integration of the Construction Knowledge and Expertise in Front-End Planning. Journal of Construction Engineering and Management, 142(02).
Rafiei, M H and Adeli, H (2016) A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units. Journal of Construction Engineering and Management, 142(02).
Said, H (2016) Modeling and Likelihood Prediction of Prefabrication Feasibility for Electrical Construction Firms. Journal of Construction Engineering and Management, 142(02).
Seyis, S, Ergen, E and Pizzi, E (2016) Identification of Waste Types and Their Root Causes in Green-Building Project Delivery Process. Journal of Construction Engineering and Management, 142(02).
Shokri, S, Ahn, S, Lee, S, Haas, C T and Haas, R C G (2016) Current Status of Interface Management in Construction: Drivers and Effects of Systematic Interface Management. Journal of Construction Engineering and Management, 142(02).
Shokri, S, Haas, C T, G. Haas, R C and Lee, S H (2016) Interface-Management Process for Managing Risks in Complex Capital Projects. Journal of Construction Engineering and Management, 142(02).
Tymvios, N and Gambatese, J A (2016) Perceptions about Design for Construction Worker Safety: Viewpoints from Contractors, Designers, and University Facility Owners. Journal of Construction Engineering and Management, 142(02).