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    Accuracy in estimating project cost construction contingency - a statistical analysis

    20323_downloaded_stream_311.pdf (156.9Kb)
    Access Status
    Open access
    Authors
    Baccarini, David
    Date
    2004
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Baccarini, David. 2004. Accuracy in estimating project cost construction contingency - a statistical analysis, Cobra 2004: RICS International Construction Conference, Responding to Change, 7-8 September, 2004. Headingley Stadium, U.K.
    Source Conference
    Cobra 2004: RICS International Construction Conference, Responding to Change
    Additional URLs
    http://www.rics.org/site/scripts/download_info.aspx?fileID=1848&categoryID=562
    Faculty
    Division of Humanities
    Faculty of Built Environment, Art and Design (BEAD)
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/29859
    Collection
    • Curtin Research Publications
    Abstract

    The cost performance of building construction projects is a key success criterion for project sponsors. Project cost performance is typically measured by comparing final cost against budget. A key component of the project budget for the construction contract is construction contingency, which caters for contract variations that arise during the implementation phase of projects. It is important for project sponsors to know the level of accuracy being achieved in estimating construction contingency. Statistical analysis of past projects provides a means for measuring the accuracy of construction contingency. The cost data for 48 road construction projects completed by an Australian government organisation were statistically analysed to investigate the accuracy of contingency. It was found that the average construction contingency was 5.24% of the Award Contract Value but the average value of contract variations was 9.92%. The organisation used a traditional percentage approach for estimating construction contingency. This suggests that the organisation has room to improve the accuracy of its construction contingency estimates by seeking alternative estimating methods. An investigation of an alternate estimating approach derived from the analysis of the data found that there were no significant correlations between project variables and construction contingency that might be used to create a prediction model for construction contingency.

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