Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Estimating construction contingency: Accommodating the potential for cost overruns in road construction projects

    Access Status
    Fulltext not available
    Authors
    Love, Peter
    Sing, C.
    Carey, B.
    Kim, J.
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Love, P. and Sing, C. and Carey, B. and Kim, J. 2015. Estimating construction contingency: Accommodating the potential for cost overruns in road construction projects. Journal of Infrastructure Systems. 21 (2).
    Source Title
    Journal of Infrastructure Systems
    DOI
    10.1061/(ASCE)IS.1943-555X.0000221
    ISSN
    1076-0342
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/20921
    Collection
    • Curtin Research Publications
    Abstract

    © 2014 American Society of Civil Engineers. The determination of a project's cost contingency is a pervasive problem as the amount that is incorporated into an estimate is invariably insufficient to accommodate a project's actual cost overrun. The cost overruns experienced in 49 road construction projects procured using traditional lump contracts are analyzed. The theoretical probability distributions are fitted to cost overrun data derived from the sampled projects whose contract values ranged from AU $0.5 and AU $97 million. Goodness of fit tests are used in conjunction with probability-probability (P-P) plots to compare the sample distribution from the known theoretical distribution. A log logistic probability density function (PDF) was found to best describe the behavior of cost overruns. The cumulative distribution function is then used to determine a realistic probability of a cost overrun being experienced from the point at which a contract is awarded. This is required so that public sector clients can determine an appropriate contingency at contract award, which takes into account the nuances that contribute to increasing project costs. The research findings and methodology adopted to determine the best fit probability distribution provides a more robust approach for governing a construction contingency for road construction projects so that they can be procured successfully.

    Related items

    Showing items related by title, author, creator and subject.

    • Determining the probability of project cost overruns
      Love, Peter; Wang, Xiangyu; Sing, Michael; Tiong, Robert (2013)
      The statistical characteristics of cost overruns experienced from contract award in 276 Australian construction and engineering projects were analyzed. The skewness and kurtosis values of the cost overruns are computed ...
    • Overruns in Transportation Infrastructure Projects
      Love, Peter; Sing, Michael; Wang, Xiangyu; Irani, Z.; Thwala, D. (2014)
      Transportation infrastructure projects are prone to cost and schedule overruns. At the time of contract award, a construction contingency budget is often used to accommodate for unplanned events such as scope changes. ...
    • Probability Distribution Fitting of Cost Overrun Profiles
      Love, Peter; Sing, Michael; Wang, Xiangyu; Yung, Ping (2012)
      The statistical characteristics of cost overruns experienced from contract award in 276 Australian construction and engineering projects were analysed. The skewness and kurtosis values of the cost overruns are computed ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.