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Chen, Z, Li, H and Wong, C T C (2000) Environmental Management of Urban Construction Projects in China. Journal of Construction Engineering and Management, 126(04), 320–4.

Crowley, L G (2000) Friedman and Gates—Another Look. Journal of Construction Engineering and Management, 126(04), 306–12.

Drexler, J A and Larson, E W (2000) Partnering: Why Project Owner-Contractor Relationships Change. Journal of Construction Engineering and Management, 126(04), 293–7.

Dunston, P S, Savage, B M and Mannering, F L (2000) Weekend Closure for Construction of Asphalt Overlay on Urban Highway. Journal of Construction Engineering and Management, 126(04), 313–9.

Hiyassat, M A S (2000) Modification of Minimum Moment Approach in Resource Leveling. Journal of Construction Engineering and Management, 126(04), 278–84.

Javid, M and Seneviratne, P N (2000) Investment Risk Analysis in Airport Parking Facility Development. Journal of Construction Engineering and Management, 126(04), 298–305.

Koo, B and Fischer, M (2000) Feasibility Study of 4D CAD in Commercial Construction. Journal of Construction Engineering and Management, 126(04), 251–60.

Maio, C, Schexnayder, C, Knutson, K and Weber, S (2000) Probability Distribution Functions for Construction Simulation. Journal of Construction Engineering and Management, 126(04), 285–92.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2000)126:4(285)
  • Abstract:
    The need for reliable simulation systems has been discussed and recognized by many researchers. At the same time researchers have recognized that the quality of a simulation model's results are strictly related to the quality of the input probability distribution functions. The data used in this research were acquired from the Atkinson-Washington-Zachry joint venture on the Eastside Reservoir Project in California. The data were analyzed using BestFit software to obtain the parameters of the theoretical distribution functions that best described the field data set. The research validated previous warnings about the influence of the class interval decision on the selection of a distribution function when the chi-square fitting test is utilized. A second issue of importance that was encountered was the reliability of goodness-of-fit tests when dealing with large data sets.

Molenaar, K, Washington, S and Diekmann, J (2000) Structural Equation Model of Construction Contract Dispute Potential. Journal of Construction Engineering and Management, 126(04), 268–77.

Thomas, H R (2000) Schedule Acceleration, Work Flow, and Labor Productivity. Journal of Construction Engineering and Management, 126(04), 261–7.