Time Series Models for Forecasting Construction Costs Using Time Series Indexes

Construction often involves considerable time gaps between cost estimation and on-site operations. In addition, many operations are performed over a considerable period of time. Accordingly, estimating construction costs must consider the trend of costs in the market, where construction costs normally change over time. Insight into the trend of construction costs in the market, therefore, is beneficial, even critical, to the effective cost management of construction projects. In an effort to support such insight development, two time series models were built by analyzing time series index data and comparing them with existing methods in the present study. The developed time series models accurately predict construction cost indexes. In particular, the models respond sensitively and swiftly to a quick, large change of costs, which allows for accurate forecasting over the short- and long-term periods. Overall, the models are effective for understanding the trend of construction costs.

[1]  George E. P. Box,et al.  Time Series Analysis: Forecasting and Control , 1977 .

[2]  Ali Touran,et al.  Probabilistic Model for Cost Contingency , 2003 .

[3]  Tariq S. Abdelhamid,et al.  TIME SERIES ANALYSIS FOR CONSTRUCTION PRODUCTIVITY EXPERIMENTS , 1999 .

[4]  Richard A. Davis,et al.  Introduction to time series and forecasting , 1998 .

[5]  Tarek Hegazy,et al.  Predicting cost deviation in reconstruction projects: Artificial neural networks versus regression , 2003 .

[6]  Trefor P. Williams,et al.  Predicting Changes in Construction Cost Indexes Using Neural Networks , 1994 .

[7]  J. Sparkes,et al.  Awareness and use of forecasting techniques in british industry , 1984 .

[8]  Chester G. Wilmot,et al.  Estimating future highway construction costs , 2003 .

[9]  Garold D. Oberlender,et al.  Predicting Accuracy of Early Cost Estimates using Factor Analysis and Multivariate Regression , 2003 .

[10]  Seokyon Hwang,et al.  Dynamic Regression Models for Prediction of Construction Costs , 2009 .

[11]  M. A. Wincek.  Forecasting With Dynamic Regression Models , 1993 .

[12]  Sivajogi D. Koppula.  Forecasting Engineering Costs: Two Case Studies , 1981 .

[13]  James E. Diekmann.  Probabilistic Estimating: Mathematics and Applications , 1983 .

[14]  Raja R. A. Issa.  Application of Artificial Neural Networks to Predicting Construction Material Prices , 2000 .

[15]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[16]  Guru N. Rao,et al.  Integrated Analysis of Cost Risk and Schedule Risk , 1995 .

[17]  Ian Flood.  Modeling Uncertainty in Cost Estimates: A Universal Extension of the Central Limit Theorem , 1997 .

[18]  Sevgi Zeynep Dogan,et al.  Determining Attribute Weights in a CBR Model for Early Cost Prediction of Structural Systems , 2006 .

[19]  Alan Pankratz,et al.  Forecasting with Dynamic Regression Models: Pankratz/Forecasting , 1991 .