Time Series Models for Forecasting Construction Costs Using Time Series Indexes

被引:43
|
作者
Hwang, Seokyon [1 ]
机构
[1] Lamar Univ, Dept Civil Engn, Beaumont, TX 77710 USA
关键词
Construction costs; Time series analysis; Forecasting models; Continual prediction;
D O I
10.1061/(ASCE)CO.1943-7862.0000350
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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. DOI: 10.1061/(ASCE)CO.1943-7862.0000350. (C) 2011 American Society of Civil Engineers.
引用
收藏
页码:656 / 662
页数:7
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