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Aleithawe, I, Sinno, R R and McAnally, W H (2012) Right-of-Way Acquisition Duration Prediction Model for Highway Construction Projects. Journal of Construction Engineering and Management, 138(04), 540–4.

Ashuri, B, Kashani, H, Molenaar, K R, Lee, S and Lu, J (2012) Risk-Neutral Pricing Approach for Evaluating BOT Highway Projects with Government Minimum Revenue Guarantee Options. Journal of Construction Engineering and Management, 138(04), 545–57.

Chen, Q and Jin, R (2012) Safety4Site Commitment to Enhance Jobsite Safety Management and Performance. Journal of Construction Engineering and Management, 138(04), 509–19.

Dyer, B, Goodrum, P M and Viele, K (2012) Effects of Omitted Variable Bias on Construction Real Output and Its Implications on Productivity Trends in the United States. Journal of Construction Engineering and Management, 138(04), 558–66.

Fortunato, B R, Hallowell, M R, Behm, M and Dewlaney, K (2012) Identification of Safety Risks for High-Performance Sustainable Construction Projects. Journal of Construction Engineering and Management, 138(04), 499–508.

Hwang, B and Ho, J W (2012) Front-End Planning Implementation in Singapore: Status, Importance, and Impact. Journal of Construction Engineering and Management, 138(04), 567–73.

Kog, Y C and Loh, P K (2012) Critical Success Factors for Different Components of Construction Projects. Journal of Construction Engineering and Management, 138(04), 520–8.

Li, X and Chen, X (2012) Using Grouting of Shield Tunneling to Reduce Settlements of Overlying Tunnels: Case Study in Shenzhen Metro Construction. Journal of Construction Engineering and Management, 138(04), 574–84.

Orabi, W and El-Rayes, K (2012) Optimizing the Rehabilitation Efforts of Aging Transportation Networks. Journal of Construction Engineering and Management, 138(04), 529–39.

  • Type: Journal Article
  • Keywords: Planning; Resource allocation; Optimization; Rehabilitation; Benefit cost ratios; Transportation networks; Construction management; Planning; Resource allocation; Optimization; Rehabilitation; Benefit-cost analysis; Transportation networks; Construction m
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000445
  • Abstract:
    Major roads and bridges in the United States are aging and deteriorating, which is causing significant human and economic losses. The required investments to rehabilitate these transportation networks exceed available funds and budgets. The rehabilitation efforts of these aging networks, therefore, need to be optimized to maximize their net benefits and reduce the effect of construction works on the traveling public. This paper presents the development of an innovative model aimed at aiding decision makers in planning and optimizing highway rehabilitation programs. This model provides new and unique capabilities, which include: allocating limited financial resources to competing highway rehabilitation projects, measuring the effect of rehabilitation efforts on network performance and road user savings, analyzing the expected benefits and costs of rehabilitation programs, and generating optimal tradeoffs between maximizing rehabilitation benefits and minimizing network service disruption using a genetic algorithm (GA)-based optimization module. An application example is analyzed to evaluate the performance of the proposed model and demonstrate its capabilities in identifying a wide range of optimal rehabilitation programs, in which each provides a unique and nondominated tradeoff between maximizing rehabilitation benefits and minimizing service disruption. This allows decision makers in departments of transportation to select and implement the rehabilitation programs that address their specific societal needs.

Rahman, M M and Kumaraswamy, M M (2012) Multicountry Perspectives of Relational Contracting and Integrated Project Teams. Journal of Construction Engineering and Management, 138(04), 469–80.

Wambeke, B W, Liu, M and Hsiang, S M (2012) Using Last Planner and a Risk Assessment Matrix to Reduce Variation in Mechanical Related Construction Tasks. Journal of Construction Engineering and Management, 138(04), 491–8.

Woldesenbet, A, Jeong, & H S and Oberlender, G D (2012) Daily Work Reports–Based Production Rate Estimation for Highway Projects. Journal of Construction Engineering and Management, 138(04), 481–90.