Skip to main content
TECHNICAL PAPERS
Aug 1, 2006

Modeling Cost Escalation in Large Infrastructure Projects

Publication: Journal of Construction Engineering and Management
Volume 132, Issue 8

Abstract

Cost overruns in large infrastructure projects have been commonplace in the past decades. Budgeting for cost escalation is a major issue in the planning phase of these projects. In this paper, we first review various methods of forecasting escalation factor and study the changes in construction costs in the past 25 years by analyzing movements of a cost index. We then introduce a system for modeling the escalation uncertainty in large multiyear construction projects. The system uses a Monte Carlo simulation approach and considers variability of project component durations and the uncertainty of escalation factor during the project lifetime and calculates the distribution for the cost. System application is demonstrated using a numerical example. The system can be used by planners and cost estimators for budgeting the effect of cost escalation in large projects with multiyear schedules.

Get full access to this article

View all available purchase options and get full access to this article.

References

Blair, A. N., Lye, L. M., and Campbell, W. J. (1993). “Forecasting construction cost escalation.” Can. J. Civ. Eng., 20(4), 602–612.
Capano, G. D., and Karshenas, S. (2003). “Applying accepted economic indicators to predict cost escalation for construction.” ASC Proc., 39th Annual Conf., 277–288.
Chatfield, C. (1975). The analysis of time series: Theory and practice, Chapman and Hall, London.
Clark, J. M. (2001). “Long term forecasts of inflation rates using quantitative tools.” Financial Engineering News, No. 20, February http://www.fenews.com/fen20/longtermforecasts.html (November 12, 2004).
Flyvbjerg, B., Holm, M. K. S., and Buhl, S. L. (2003). “How common and how large are cost overruns in transport infrastructure projects?” Transport Rev., 23(1), 71–88.
Flyvbjerg, B., Holm, M. K. S., and Buhl, S. L. (2004). “What causes cost overrun in transportation infrastructure projects?.” Transport Rev., 24(1), 3–18.
Grogan, T. (2003). “How to use ENR’s cost indexes.” Eng. News-Rec., March, 41–48.
Hanna, A. S., and Blair, A. N. (1993). “Computerized approach for forecasting the rate of cost escalation.” Proc., Comput. Civ. Build. Tech. Conf., 401–408.
Hanna, A. S., and Chao, L. (1994). “Quantification of cost uncertainties using neural network technique.” Proc., 1st Congress on Computing in Civil Engineering, Washington, D.C., Vol. I, 41–46.
Kress, G. (1985). Practical techniques of business forecasting, Quorum Books, Westport, Conn.
Makridakis, S., Wheelwright, S. C., and Hyndman, R. J. (1998). Forecasting methods and applications, Wiley, New York.
Pickrell, D. H. (1990). Urban rail transit projects: Forecast versus actual ridership and cost, U.S. Dept. of Transportation, Washington, D.C.
Reilly, J., McBride, M., Sangrey, D., MacDonald, D., and Brown, J. (2004). “The development of a new cost–risk estimating process for transportation infrastructure projects.” Civ. Eng. Pract., 19(1), 53–75.
Shi, J. J., Cheung, S. O., and Arditi, D. (2001). “Construction delay computation method.” J. Constr. Eng. Manage., 127(1), 60–65.
Sullivan, W. G., and Claycombe, W. W. (1977). Fundamentals of forecasting, Reston Publishing Co. Inc., Reston, Va.
Thomas, L. B., and Grant, A. P. (2000). “Forecasting inflation-surveys versus other forecasts.” Business Economics, July, 9–18.
Touran, A., Bolster, P. J., and Thayer, S. W. (1994). Risk assessment in fixed guideway construction, U.S. Dept. of Transportation, Federal Transit Administration, June.
Touran, A., and Lopez, R. (2005). “Modeling cost escalation as a risk factor in construction projects.” Proc., Construction Congress, San Diego.
Walpole, R. E., Myers, R. H., Myers, S. L., and Ye, K. (2002). “Chapter 8: Fundamental sampling distributions and data descriptions.” Probability & statistics for engineers & scientists, Prentice–Hall, Upper Saddle River, N.J., 209–215.
Westney, R. E. (1997). Engineer’s cost handbook: Tools for managing project costs, Marcel Dekker Inc., New York.
Williams, T. P. (1994). “Predicting changes in construction cost indexes using neural networks.” J. Constr. Eng. Manage., 120(2), 306–320.
Wilmot, C. G., and Cheng, G. (2003). “Estimating future highway construction cost.” J. Constr. Eng. Manage., 129(3), 272–279.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 132Issue 8August 2006
Pages: 853 - 860

History

Received: Sep 6, 2005
Accepted: Dec 28, 2005
Published online: Aug 1, 2006
Published in print: Aug 2006

Permissions

Request permissions for this article.

Authors

Affiliations

Ali Touran, M.ASCE [email protected]
Associate Professor, Dept. of Civil & Environmental Engineering, Northeastern Univ., 400 SN, Boston, MA 02115 (corresponding author). E-mail: [email protected]
Ramon Lopez
Dept. of Civil & Environmental Engineering, Northeastern Univ., 400 SN, Boston, MA; formerly, Graduate Student.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Figures

Tables

Media

Share

Share

Copy the content Link

Share with email

Email a colleague

Share