Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 10 results ...

Cho, Y, Kabassi, K, Pyeon, J, Choi, K, Wang, C and Norton, T (2013) Effectiveness Study of Methods for Removing Temporary Pavement Markings in Roadway Construction Zones. Journal of Construction Engineering and Management, 139(03), 257–66.

Comu, S, Iorio, J, Taylor, J E and Dossick, C S (2013) Quantifying the Impact of Facilitation on Transactive Memory System Formation in Global Virtual Project Networks. Journal of Construction Engineering and Management, 139(03), 294–303.

Doan, P and Menyah, K (2013) Impact of Irreversibility and Uncertainty on the Timing of Infrastructure Projects. Journal of Construction Engineering and Management, 139(03), 331–8.

Doloi, H (2013) Cost Overruns and Failure in Project Management: Understanding the Roles of Key Stakeholders in Construction Projects. Journal of Construction Engineering and Management, 139(03), 267–79.

Kim, B, Lee, H, Park, H and Kim, H (2013) Estimation of Greenhouse Gas Emissions from Land-Use Changes due to Road Construction in the Republic of Korea. Journal of Construction Engineering and Management, 139(03), 339–46.

Li, F, Phoon, K K, Du, X and Zhang, M (2013) Improved AHP Method and Its Application in Risk Identification. Journal of Construction Engineering and Management, 139(03), 312–20.

Lin, Y and Ho, S P (2013) Impacts of Governance Structure Strategies on the Performance of Construction Joint Ventures. Journal of Construction Engineering and Management, 139(03), 304–11.

Love, P E D, Wang, X, Sing, C and Tiong, R L K (2013) Determining the Probability of Project Cost Overruns. Journal of Construction Engineering and Management, 139(03), 321–30.

  • Type: Journal Article
  • Keywords: Australia; Construction costs; Probability; Project management; Australia; Cost overrun; Distribution fitting; Probability; Probability distribution;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000575
  • Abstract:
    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 to determine if the empirical distribution of the data follows a normal distribution. The Kolmogorov-Smirnov, Anderson-Darling, and chi-squared nonparametric tests are used to determine the goodness of fit of the selected probability distributions. A three-parameter Frechet probability function is found to describe the behavior of cost overruns and provide the best overall distribution fit. The Frechet distribution is then used to calculate the probability of a cost overrun being experienced. The statistical characteristics of contract size and cost overruns were also analyzed. The Cauchy (<A$1  million), Wakeby (A$1 to 10 million, <A$101  million) and four-parameter Burr (A$11 to 50 million) tests were found to provide the best distribution fits and used to calculate cost overrun probabilities by contract size. Ascertaining the best fit probability distribution from an empirical distribution at contract award can produce realistic probabilities of cost overruns, which should then be incorporated into a construction cost contingency.

Lu, W, Liu, A M M, Rowlinson, S and Poon, S W (2013) Sharpening Competitive Edge through Procurement Innovation: Perspectives from Chinese International Construction Companies. Journal of Construction Engineering and Management, 139(03), 347–51.

Zhang, P and Ng, F F (2013) Explaining Knowledge-Sharing Intention in Construction Teams in Hong Kong. Journal of Construction Engineering and Management, 139(03), 280–93.