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Awad, A and Fayek, A R (2013) Adaptive Learning of Contractor Default Prediction Model for Surety Bonding. Journal of Construction Engineering and Management, 139(06), 694–704.
Badu, E, Owusu-Manu, D, Edwards, D J and Holt, G D (2013) Analysis of Strategic Issues Underpinning the Innovative Financing of Infrastructure within Developing Countries. Journal of Construction Engineering and Management, 139(06), 726–37.
Brodetskaia, I, Sacks, R and Shapira, A (2013) Stabilizing Production Flow of Interior and Finishing Works with Reentrant Flow in Building Construction. Journal of Construction Engineering and Management, 139(06), 665–74.
Cariaga, I and El-Diraby, T E (2013) Assessing the market potential for housing construction products in Mexico. Journal of Construction Engineering and Management, 139(06), 717–25.
Chen, Q, Jin, R and Soboyejo, A (2013) Understanding a Contractor’s Regional Variations in Safety Performance. Journal of Construction Engineering and Management, 139(06), 641–53.
Cho, Y, Wang, C and Zhuang, Z (2013) Framework for Empirical Process to Improve Nonnuclear Gauge Performance in Hot-Mix Asphalt Pavement Construction. Journal of Construction Engineering and Management, 139(06), 601–10.
Chong, H Y, Zin, R M and Chong, S C (2013) Employing Data Warehousing for Contract Administration: e-Dispute Resolution Prototype. Journal of Construction Engineering and Management, 139(06), 611–9.
Kim, Y A, Ryoo, B Y, Kim, Y and Huh, W C (2013) Major Accident Factors for Effective Safety Management of Highway Construction Projects. Journal of Construction Engineering and Management, 139(06), 628–40.
Le, Y, Wang, Y, Luo, C and Peng, Y (2013) Integration of Financial and Contract Management on the Shanghai Expo Construction Program. Journal of Construction Engineering and Management, 139(06), 738–48.
Park, T, Kim, B and Kim, H (2013) Real Option Approach to Sharing Privatization Risk in Underground Infrastructures. Journal of Construction Engineering and Management, 139(06), 685–93.
Russell, J S (2013) Shaping the Future of the Civil Engineering Profession. Journal of Construction Engineering and Management, 139(06), 654–64.
Solla, M, González-Jorge, H, Varela, M and Lorenzo, H (2013) Ground-Penetrating Radar for Inspection of In-Road Structures and Data Interpretation by Numerical Modeling. Journal of Construction Engineering and Management, 139(06), 749–53.
Xia, B, Molenaar, K, Chan, A, Skitmore, M and Zuo, J (2013) Determining Optimal Proportion of Design in Design-Build Request for Proposals. Journal of Construction Engineering and Management, 139(06), 620–7.
- Type: Journal Article
- Keywords: Design/build; Construction industry; Design-build; Proportion of design; Request for proposals; Delphi method;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000643
- Abstract:
The design-build (DB) system is a popular and effective delivery method of construction projects worldwide. After owners decide to procure their projects through the DB system, they may wish to determine the optimal proportion of design to be provided in the DB request for proposals (RFP), which serves as a solicitation for design-builders and describes the scope of work. However, this presents difficulties to DB owners and there is little, if any, systematic research in this area. This paper reports on an empirical study in the United States entailing both an online questionnaire survey and Delphi survey to identify and evaluate the factors influencing owners’ decisions in determining the proportion of design to include in DB RFPs. Eleven factors are identified, i.e., (1) clarity of project scope, (2) applicability of performance specifications, (3) desire for design innovation, (4) site constraints, (5) availability of competent design-builders, (6) project control requirements, (7) user group involvement level, (8) third-party requirements, (9) owner experience with DB, (10) project complexity, and (11) schedule constraints. A statistically significant agreement on the 11 factors was also obtained from the (mainly nonowner) Delphi experts. Although some of the experts hold different opinions on how these factors affect the proportion of design, these findings furnish various stakeholders with a better understanding of the delivery process of DB projects and the appropriate provision of project information in DB RFPs. Because the result is mainly industry opinion concerning the optimal proportion of design, in addition and for completeness future studies should be conducted to obtain a big picture of the optimal proportion of design by means of seeking owners’ inputs.
Yeung, J F Y, Chan, A P C, Chan, D W M, Chiang, Y H and Yang, H (2013) Developing a Benchmarking Model for Construction Projects in Hong Kong. Journal of Construction Engineering and Management, 139(06), 705–16.
Yu, W, Wang, K and Wang, M (2013) Pricing Strategy for Best Value Tender. Journal of Construction Engineering and Management, 139(06), 675–84.