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Cox, R F, Issa, R R A and Koblegard, K (2005) Management’s Perception of Key Behavioral Indicators for Construction. Journal of Construction Engineering and Management, 131(03), 368–76.

Gunhan, S and Arditi, D (2005) Factors Affecting International Construction. Journal of Construction Engineering and Management, 131(03), 273–82.

Han, S H, Diekmann, J E and Ock, J H (2005) Contractor’s Risk Attitudes in the Selection of International Construction Projects. Journal of Construction Engineering and Management, 131(03), 283–92.

Jaselskis, E J, Gao, Z and Walters, R C (2005) Improving Transportation Projects Using Laser Scanning. Journal of Construction Engineering and Management, 131(03), 377–84.

Kim, K and de la Garza, J M (2005) Critical Path Method with Multiple Calendars. Journal of Construction Engineering and Management, 131(03), 330–42.

Lee, D (2005) Probability of Project Completion Using Stochastic Project Scheduling Simulation. Journal of Construction Engineering and Management, 131(03), 310–8.

Molenaar, K R (2005) Programmatic Cost Risk Analysis for Highway Megaprojects. Journal of Construction Engineering and Management, 131(03), 343–53.

  • Type: Journal Article
  • Keywords: Highway construction; Cost estimates; Risk analysis; Uncertainty analysis; Risk management; Transportation planning; Scheduling;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:3(343)
  • Abstract:
    Highway megaprojects (construction projects over $100 million) are fraught with uncertainty. These projects have historically experienced increases in project costs from the time that a project is first proposed or programmed until the time that they are completed. Persistent cost underestimation reflects poorly on the industry in general but more specifically on engineers. Traditional methods take a deterministic, conservative approach to project cost estimating and then add a contingency factor that varies depending on the stage of project definition, experience, and other factors. This approach falls short, and no industry standard stochastic estimating practice is currently available. This paper presents a methodology developed by the Washington State Department of Transportation (WSDOT) for its Cost Estimating Validation Process. Nine case studies, with a mean cumulative value of over $22 billion, are presented and analyzed. Programmatic risks are summarized as economic, environmental, third party, right-of-way, program management, geotechnical, design process, construction, and other minor risks. WSDOT is successfully using the range cost output from this procedure to convey project costs to management and the public.

Moselhi, O, Assem, I and El-Rayes, K (2005) Change Orders Impact on Labor Productivity. Journal of Construction Engineering and Management, 131(03), 354–9.

Rojas, E M and Mukherjee, A (2005) General-Purpose Situational Simulation Environment for Construction Education. Journal of Construction Engineering and Management, 131(03), 319–29.

Shapira, A and Raz, Y (2005) Comparative Analysis of Shoring Towers for High-Clearance Construction. Journal of Construction Engineering and Management, 131(03), 293–301.

Son, J, Mattila, K G and Myers, D S (2005) Determination of Haul Distance and Direction in Mass Excavation. Journal of Construction Engineering and Management, 131(03), 302–9.

Song, L and AbouRizk, S M (2005) Quantifying Engineering Project Scope for Productivity Modeling. Journal of Construction Engineering and Management, 131(03), 360–7.