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Chan, A T S and Chan, E H W (2005) Impact of Perceived Leadership Styles on Work Outcomes: Case of Building Professionals. Journal of Construction Engineering and Management, 131(04), 413–22.

Cheng, E W L and Li, H (2005) Analytic Network Process Applied to Project Selection. Journal of Construction Engineering and Management, 131(04), 459–66.

Ekström, M A and Björnsson, H C (2005) Valuing Flexibility in Architecture, Engineering, and Construction Information Technology Investments. Journal of Construction Engineering and Management, 131(04), 431–8.

El-Rayes, K and Hyari, K (2005) {[}CONLIGHT:{]} Lighting Design Model for Nighttime Highway Construction. Journal of Construction Engineering and Management, 131(04), 467–76.

El-Rayes, K and Kandil, A (2005) Time-Cost-Quality Trade-Off Analysis for Highway Construction. Journal of Construction Engineering and Management, 131(04), 477–86.

Elazouni, A M and Metwally, F G (2005) Finance-Based Scheduling: Tool to Maximize Project Profit Using Improved Genetic Algorithms. Journal of Construction Engineering and Management, 131(04), 400–12.

Gil, N, Tommelein, I D, Stout, A and Garrett, T (2005) Embodying Product and Process Flexibility to Cope with Challenging Project Deliveries. Journal of Construction Engineering and Management, 131(04), 439–48.

Hinze, J (2005) Use of Trench Boxes for Worker Protection. Journal of Construction Engineering and Management, 131(04), 494–500.

Lee, E and Ibbs, C W (2005) Computer Simulation Model: Construction Analysis for Pavement Rehabilitation Strategies. Journal of Construction Engineering and Management, 131(04), 449–58.

  • Type: Journal Article
  • Keywords: Pavements; Reconstruction; Rehabilitation; Constructability; Computer aided simulation; Simulation models;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:4(449)
  • Abstract:
    Most state highways in the United States were built during the 1960s and 1970s with an infrastructure investment of more than $1 trillion. They now exceed their 20 year design lives and are seriously deteriorated. The consequences are high maintenance and road user costs because of degraded road surfaces and construction work zone delays. Efficient planning of highway rehabilitation closures is critical. This paper presents a simulation model, Construction Analysis for Pavement Rehabilitation Strategies (CA4PRS), which estimates the maximum amount of highway rehabilitation/reconstruction during various closure timeframes. The model balances project constraints such as scheduling interfaces, pavement materials and design, contractor logistics and resources, and traffic operations. It has been successfully used on several urban freeway rehabilitation projects with high traffic volume, including projects on I-10 and I-710. The CA4PRS helps agencies and contractors plan highway rehabilitation strategies by taking into account long-life pavement performance, construction productivity, traffic delay, and total cost.

Liu, M and Ling, Y Y (2005) Modeling a Contractor’s Markup Estimation. Journal of Construction Engineering and Management, 131(04), 391–9.

Navon, R and Shpatnitsky, Y (2005) Field Experiments in Automated Monitoring of Road Construction. Journal of Construction Engineering and Management, 131(04), 487–93.

Zhang, J, Eastham, D L and Bernold, L E (2005) Waste-Based Management in Residential Construction. Journal of Construction Engineering and Management, 131(04), 423–30.