Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 9 results ...

Apipattanavis, S, Sabol, K, Molenaar, K R, Rajagopalan, B, Xi, Y, Blackard, B and Patil, S (2010) Integrated Framework for Quantifying and Predicting Weather-Related Highway Construction Delays. Journal of Construction Engineering and Management, 136(11), 1160–8.

Ashuri, B and Lu, J (2010) Time Series Analysis of ENR Construction Cost Index. Journal of Construction Engineering and Management, 136(11), 1227–37.

Bhargava, A, Anastasopoulos, P C, Labi, S, Sinha, K C and Mannering, F L (2010) Three-Stage Least-Squares Analysis of Time and Cost Overruns in Construction Contracts. Journal of Construction Engineering and Management, 136(11), 1207–18.

Blackman, I Q and Picken, D H (2010) Height and Construction Costs of Residential High-Rise Buildings in Shanghai. Journal of Construction Engineering and Management, 136(11), 1169–80.

Chen, J, Su, M and Huang, D (2010) Application of a SOM-Based Optimization Algorithm in Minimizing Construction Time for Secant Pile Wall. Journal of Construction Engineering and Management, 136(11), 1189–95.

Lingard, H, Francis, V and Turner, M (2010) Work-Family Conflict in Construction: Case for a Finer-Grained Analysis. Journal of Construction Engineering and Management, 136(11), 1196–206.

Marsh, K and Fayek, A R (2010) SuretyAssist: Fuzzy Expert System to Assist Surety Underwriters in Evaluating Construction Contractors for Bonding. Journal of Construction Engineering and Management, 136(11), 1219–26.

Shepherd, S and Woskie, S R (2010) Case Study to Identify Barriers and Incentives to Implementing an Engineering Control for Concrete Grinding Dust. Journal of Construction Engineering and Management, 136(11), 1238–48.

Thal, A E, Cook, J J and White, E D (2010) Estimation of Cost Contingency for Air Force Construction Projects. Journal of Construction Engineering and Management, 136(11), 1181–8.

  • Type: Journal Article
  • Keywords: Construction costs; Construction management; United States Air Force; Estimation; Construction costs; Contingency; Construction management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000227
  • Abstract:
    Risk and associated cost overruns are critical problems for construction projects, yet the most common practice for dealing with them is the assignment of an arbitrary flat percentage of the construction budget as a contingency fund. Therefore, our goal was to identify significant variables that may influence, or serve as indicators of, potential cost overruns. We analyzed data from 203 Air Force construction projects over a full range of project types and scopes using multiple linear regression to develop a model to predict the amount of required contingency funds. The proposed model uses only data that would be available prior to the award of a construction contract. The variables in the model were categorized as project characteristics, design performance metrics, and contract award process influences. Based on the performance metric used, the model captures 44% of actual cost overruns versus the 20% captured by the current practice. Furthermore, application of the model reduces the average contingency budgeting error from 11.2 to only 0.3%.