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Carpenter, N and Bausman, D C (2016) Project Delivery Method Performance for Public School Construction: Design-Bid-Build versus CM at Risk. Journal of Construction Engineering and Management, 142(10).

  • Type: Journal Article
  • Keywords: Project delivery method; Design-Bid-Build (DBB); Construction Manager at Risk (CM at Risk); Project success factors; Project performance factors; Contracting;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001155
  • Abstract:
    The construction of public schools is a complex endeavor due to the involvement of multiple and diverse parties, funding and budgetary concerns, and statutory limitations imposed by local, state, and federal agencies, all of which serve to increase project risk. Project delivery methods using distinctive procedures to manage the design and construction process have been developed to reduce risk and improve project performance. To increase the probability of successful project outcomes, those responsible for public school construction require conclusive delivery method performance data. Completed in 2014, this two-year study used actual construction documents from 137 southeastern public schools to analyze and determine project delivery method cost, time, quality, and claims performance. The analysis indicated that performance of the Design-Bid-Build (DBB) method was significantly superior across all cost metrics, whereas the Construction Manager at Risk (CM at Risk) method produced higher levels of product and service quality. Essentially, public school administrators were paying a significant premium to obtain perceived improvements in both service and product quality. This research empowers decision-makers and benefits the public by providing evidence of the most efficient and effective means for the construction of new public schools.

Chang, C and Chen, S (2016) Transitional Public–Private Partnership Model in China: Contracting with Little Recourse to Contracts. Journal of Construction Engineering and Management, 142(10).

Chen, C, Wang, Q, Martek, I and Li, H (2016) International Market Selection Model for Large Chinese Contractors. Journal of Construction Engineering and Management, 142(10).

Choi, J O, O’Connor, J T and Kim, T W (2016) Recipes for Cost and Schedule Successes in Industrial Modular Projects: Qualitative Comparative Analysis. Journal of Construction Engineering and Management, 142(10).

Choi, K and Lee, H W (2016) Deconstructing the Construction Industry: A Spatiotemporal Clustering Approach to Profitability Modeling. Journal of Construction Engineering and Management, 142(10).

de Castro e Silva Neto, D, Cruz, C O, Rodrigues, F and Silva, P (2016) Bibliometric Analysis of PPP and PFI Literature: Overview of 25 Years of Research. Journal of Construction Engineering and Management, 142(10).

Duzkale, A K and Lucko, G (2016) Exposing Uncertainty in Bid Preparation of Steel Construction Cost Estimating: I. Conceptual Framework and Qualitative C-I-V-I-L Classification. Journal of Construction Engineering and Management, 142(10).

Duzkale, A K and Lucko, G (2016) Exposing Uncertainty in Bid Preparation of Steel Construction Cost Estimating: II. Comparative Analysis and Quantitative C-I-V-I-L Classification. Journal of Construction Engineering and Management, 142(10).

Gwak, H, Son, S, Park, Y and Lee, D (2016) Exact Time–Cost Tradeoff Analysis in Concurrency-Based Scheduling. Journal of Construction Engineering and Management, 142(10).

Harper, C M, Molenaar, K R and Cannon, J P (2016) Measuring Constructs of Relational Contracting in Construction Projects: The Owner’s Perspective. Journal of Construction Engineering and Management, 142(10).

Moret, Y and Einstein, H H (2016) Construction Cost and Duration Uncertainty Model: Application to High-Speed Rail Line Project. Journal of Construction Engineering and Management, 142(10).

Namian, M, Albert, A, Zuluaga, C M and Jaselskis, E J (2016) Improving Hazard-Recognition Performance and Safety Training Outcomes: Integrating Strategies for Training Transfer. Journal of Construction Engineering and Management, 142(10).

Poshdar, M, González, V A, Raftery, G M, Orozco, F, Romeo, J S and Forcael, E (2016) A Probabilistic-Based Method to Determine Optimum Size of Project Buffer in Construction Schedules. Journal of Construction Engineering and Management, 142(10).

Ramaji, I J and Memari, A M (2016) Product Architecture Model for Multistory Modular Buildings. Journal of Construction Engineering and Management, 142(10).

Salas, R and Hallowell, M (2016) Predictive Validity of Safety Leading Indicators: Empirical Assessment in the Oil and Gas Sector. Journal of Construction Engineering and Management, 142(10).

Sveikauskas, L, Rowe, S, Mildenberger, J, Price, J and Young, A (2016) Productivity Growth in Construction. Journal of Construction Engineering and Management, 142(10).