Abstract
The statistical characteristics of design error rectification costs experienced in 139 Australian construction projects are analyzed. Theoretical probability distributions are fitted to the design error cost data. A generalized Pareto probability function was found to provide thebestoveralldistribution fitfordesignerrorcosts.ThegeneralizedParetodistributionisusedtocalculatetheprobabilityofdesignerrorcosts being experienced for the selected sample. A mean design error cost of 14.2% of a project's contract value is reported. A significant difference between mean design error costs and project types was found for civil engineering (23.44%) and fit-out (22.50%) projects. Projects .Australian dollars ðA$Þ101M were found to experience significantly higher mean design error costs (26.18%) than other projects. Being abletodeterminethelikelihoodofdesignerrorrectificationcostsfromthederivedempiricalprobabilitydistributionwillprovideanameliorated assessment of risk before the commencement of construction. Strategies to reduce design error rectification costs are also discussed. DOI: 10.1061/(ASCE)CF.1943-5509.0000439. © 2014 American Society of Civil Engineers. Author keywords: Design error; Costs; Probability; Goodness of fit; Distribution fitting.
Published Version
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