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Ballesteros-Pérez, P, Skitmore, M, Pellicer, E and Zhang, X (2016) Scoring Rules and Competitive Behavior in Best-Value Construction Auctions. Journal of Construction Engineering and Management, 142(09).

Chan, A P C, Javed, A A, Lyu, S, Hon, C K H and Wong, F K W (2016) Strategies for Improving Safety and Health of Ethnic Minority Construction Workers. Journal of Construction Engineering and Management, 142(09).

Chen, Y, Dib, H, Cox, R F, Shaurette, M and Vorvoreanu, M (2016) Structural Equation Model of Building Information Modeling Maturity. Journal of Construction Engineering and Management, 142(09).

De Jorge Moreno, J, De Jorge Huertas, V and Rojas Carrasco, O (2016) Assessment of the Efficiency of the Spanish Construction Industry Using Parametric Methods: Case Study. Journal of Construction Engineering and Management, 142(09).

Dursun, O and Stoy, C (2016) Conceptual Estimation of Construction Costs Using the Multistep Ahead Approach. Journal of Construction Engineering and Management, 142(09).

Fang, D, Zhao, C and Zhang, M (2016) A Cognitive Model of Construction Workers’ Unsafe Behaviors. Journal of Construction Engineering and Management, 142(09).

Goodrum, P M, Miller, J, Sweany, J and Alruwaythi, O (2016) Influence of the Format of Engineering Information and Spatial Cognition on Craft-Worker Performance. Journal of Construction Engineering and Management, 142(09).

Govan, P and Damnjanovic, I (2016) The Resource-Based View on Project Risk Management. Journal of Construction Engineering and Management, 142(09).

Hanna, A S (2016) Benchmark Performance Metrics for Integrated Project Delivery. Journal of Construction Engineering and Management, 142(09).

Hosseini, S M A, de la Fuente, A and Pons, O (2016) Multicriteria Decision-Making Method for Sustainable Site Location of Post-Disaster Temporary Housing in Urban Areas. Journal of Construction Engineering and Management, 142(09).

Nguyen, L D, Tran, D Q and Chandrawinata, M P (2016) Predicting Safety Risk of Working at Heights Using Bayesian Networks. Journal of Construction Engineering and Management, 142(09).

Ramsey, D, El Asmar, M and Gibson, G E (2016) Quantitative Performance Assessment of Single-Step versus Two-Step Design-Build Procurement. Journal of Construction Engineering and Management, 142(09).

  • Type: Journal Article
  • Keywords: Procurement; Contracts; Project delivery; Performance; Contracting;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001145
  • Abstract:
    Design-build (DB) is an alternative project delivery system that is distinguished by a DB team acting as the single point of responsibility for a project in which the design and construction phases overlap. There are two main methods used to procure DB services: single-step and two-step procurement. Single-step DB involves a request for proposal (RFP) phase, whereas two-step DB involves both request for qualifications (RFQ) and RFP phases. There is an industry perception that more resources are spent to procure single-step DB projects as compared with two-step DB projects. Therefore, this paper focuses on quantifying the resource expenditures and efficiency impacts of single-step and two-step DB through investigating several procurement and project performance metrics. The paper presents results stemming from 32 completed projects. The results of the analysis show that the total cost to industry to develop single-step proposals is approximately 5% of the total project cost, whereas the cost to develop two-step proposals is approximately 1% of the total project cost. Additionally, the relative procurement duration was 18% of the total project time for single-step DB and 22% of the total project time for two-step DB. Moreover, the percentage of design completed at the RFP and award stages are presented. For single-step DB, 23% of the design was completed at the RFP stage, and 43% at the award stage. For two-step DB, 12% of the design was completed at the RFP stage, and 32% at the award stage. Most importantly, the findings contribute to the DB body of knowledge by quantifying a significant five-fold procurement cost difference between the two DB procurement methods, helping the industry implement procurement policy changes.

Shealy, T, Klotz, L, Weber, E U, Johnson, E J and Bell, R G (2016) Using Framing Effects to Inform More Sustainable Infrastructure Design Decisions. Journal of Construction Engineering and Management, 142(09).

Signor, R, Love, P E D and Olatunji, O (2016) Determining Overpricing in Brazilian Infrastructure Projects: A Forensic Approach. Journal of Construction Engineering and Management, 142(09).

Wang, C, Zhang, S, Du, C, Pan, F and Xue, L (2016) A Real-Time Online Structure-Safety Analysis Approach Consistent with Dynamic Construction Schedule of Underground Caverns. Journal of Construction Engineering and Management, 142(09).