TECHNICAL PAPERS
Sep 1, 2005

Crew Production Rates for Contract Time Estimation: Bent Footing, Column, and Cap of Highway Bridges

Publication: Journal of Construction Engineering and Management
Volume 131, Issue 9

Abstract

Both the importance and process of estimating highway construction time have increased in significance as roadway user costs themselves have become more significant. In estimating construction time, few parameters are more significant than work item crew production rates and factors significantly affecting the rates. A standardized data collection tool was used to acquire a total of 93 data points from 22 ongoing Texas highway projects between February 2002 and May 2004, for selected critical work items: Footing, column-rectangle, column-round, and cap. With the data, several hypothesized drivers of the crew production rates were analyzed. The statistically significant drivers found from the analyses include: footing size (m3ea) , excavation depth (m), and number (No.) of footings per bent for footing work item; column size (m3ea) , column height (m), No. of columns per bent for column-rectangle; column height (m), diameter (m), and No. of columns per bent for column-round; cap size (m3ea) , cap length (m), and shape of cap (rectangle versus inverted T) for cap. Findings from this study will enable highway agencies to enhance accuracy of contract time estimation for highway bridge construction. The methodology for obtaining field-based production rates will also be beneficial for future researchers.

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Acknowledgments

This paper is written based on a research project sponsored by the Texas Department of Transportation and special thanks to the inspectors and contractors who helped the data collection for this study.

References

Albright, S. C., Winston, W. L., and Zappe, C. (2003). Data analysis & decision making, Curt Hinrichs, A Division of Thomson Learning, Inc., Pacific Grove, Calif.
Everett, J. G., and Farghal, S. H. (1997). “Data representation for predicting performance with learning curves.” J. Constr. Eng. Manage., 123(1), 46–52.
Hanna, A. S., Peterson, P., and Lee, M. (2002). “Benchmarking productivity indicators for electrical/mechanical projects.” J. Constr. Eng. Manage., 128(4), 331–337.
Herbsman, Z. J., and Ellis, R. (1995). Synthesis of Highway Practice 215: Determination of Contract Time for Highway Construction Projects, Transportation Research Board, National Cooperative Highway Research Program, National Academy Press, Washington, D.C.
Huh, Y. (2004). “Highway bridge construction production rates for contract time estimation.” Dissertation, Dept. of Civil Engineering, Univ. of Texas at Austin, Austin, Tex.
Koehn, E., and Brown, G. (1985). “Climatic effects on construction.” J. Constr. Eng. Manage., 111(2), 129-137.
Sanders, S. R., and Thomas, H. R. (1991). “Factors affecting masonry-labor productivity.” J. Constr. Eng. Manage., 117(4), 626–644.
Sanders, S. R., and Thomas, H. R. (1993). “Masonry productivity forecasting model.” J. Constr. Eng. Manage., 119(1), 163–179.
Smith, S. D. (1999). “Earthmoving productivity estimation using linear regression techniques.” J. Constr. Eng. Manage., 125(3), 133–141.
Sonmez, R. (1996). “Construction labor productivity modeling with neural networks and regression analysis.” Dissertation, Dept. of Civil Eng., Iowa State Univ., Ames, Iowa.
Stevens, J. (2002). “Applied multivariate statistics for the social sciences.” eBook Lawrence Erlbaum Associates Inc. ⟨http://www.netlibrary.com⟩ (Mar. 30, 2004).
Thomas, H. R., and Raynar, K. A. (1997). “Scheduled overtime and labor productivity: A quantitative analysis.” J. Constr. Eng. Manage., 123(2), 181–188.
Thomas, H. R., Smith, G. R., and Sanders, S. R. (1989). “An exploratory study of productivity forecasting using the factor model for masonry, PTI Rep. 9005, Pennsylvania Transportation Institute, Pennsylvania State Univ., University Park, Pa.
Thomas, S. R. (2003). “Quantitative methods for project analysis.” Class (CE 395R.6) Note, Dept. of Civil Engineering, Univ. of Texas at Austin, Austin, Tex.
Wonnacott, T. H.and Wonnacott, R. J. (1981). “Regression: A second course in statistics.”Krieger Publishing Company, Malabar, Fla.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 131Issue 9September 2005
Pages: 1013 - 1020

History

Received: Sep 9, 2004
Accepted: Feb 17, 2005
Published online: Sep 1, 2005
Published in print: Sep 2005

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Authors

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James T. O’Connor, M.ASCE
C.T. Wells Professor of Project Management and Professor of Civil Engineering, Dept. of Civil Engineering, Univ. of Texas, Austin, TX 78712-1076. E-mail: [email protected]
Youngki Huh
Assistant Professor, School of Architecture, Pusan National Univ., 30 Jangjeon-Dong, Geumjeong-Gu, Busan 609-735, Republic of Korea. E-mail: [email protected]

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