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Bashford, H H, Walsh, K D and Sawhney, A (2005) Production System Loading–Cycle Time Relationship in Residential Construction. Journal of Construction Engineering and Management, 131(01), 15–22.

Chen, Z, Li, H and Wong, C T C (2005) {[}EnvironalPlanning{]}: Analytic Network Process Model for Environmentally Conscious Construction Planning. Journal of Construction Engineering and Management, 131(01), 92–101.

Chester, M and Hendrickson, C (2005) Cost Impacts, Scheduling Impacts, and the Claims Process during Construction. Journal of Construction Engineering and Management, 131(01), 102–7.

Dzeng, R J, Tserng, H P and Wang, W C (2005) Automating Schedule Review for Expressway Construction. Journal of Construction Engineering and Management, 131(01), 127–36.

Elazouni, A M, Ali, A E and Abdel-Razek, R H (2005) Estimating the Acceptability of New Formwork Systems Using Neural Networks. Journal of Construction Engineering and Management, 131(01), 33–41.

Horman, M J and Kenley, R (2005) Quantifying Levels of Wasted Time in Construction with Meta-Analysis. Journal of Construction Engineering and Management, 131(01), 52–61.

Kaiser, M J, Pulsipher, A G and Byrd, R C (2005) Cost of Abrasive Cutting in Decommissioning Operations in the Gulf of Mexico. Journal of Construction Engineering and Management, 131(01), 137–48.

Kaiser, M J, Pulsipher, A G and Martin, J (2005) Cost of Site Clearance and Verification Operations in the Gulf of Mexico. Journal of Construction Engineering and Management, 131(01), 117–26.

Oliveros, A V O and Fayek, A R (2005) Fuzzy Logic Approach for Activity Delay Analysis and Schedule Updating. Journal of Construction Engineering and Management, 131(01), 42–51.

Singh, D and Tiong, R L K (2005) A Fuzzy Decision Framework for Contractor Selection. Journal of Construction Engineering and Management, 131(01), 62–70.

Tatum, C B (2005) Building Better: Technical Support for Construction. Journal of Construction Engineering and Management, 131(01), 23–32.

Yiu, C Y, Ho, H K, Lo, S M and Hu, B Q (2005) Performance Evaluation for Cost Estimators by Reliability Interval Method. Journal of Construction Engineering and Management, 131(01), 108–16.

Zhang, X (2005) Critical Success Factors for Public–Private Partnerships in Infrastructure Development. Journal of Construction Engineering and Management, 131(01), 3–14.

Zhang, X (2005) Paving the Way for Public–Private Partnerships in Infrastructure Development. Journal of Construction Engineering and Management, 131(01), 71–80.

  • Type: Journal Article
  • Keywords: Partnerships; Infrastructure; Private sector; Privatization; Financial management; Contracts;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:1(71)
  • Abstract:
    Infrastructure privatization has multidimensional impacts with long-term uncertainties and wide risk portfolios. A wide range of barriers to public–private partnerships (PPPs) in infrastructure development have been identified through a questionnaire survey, which are broadly classified into six aspects: (1) social, political, and legal risk; (2) unfavorable economic and commercial conditions; (3) inefficient public procurement framework; (4) lack of mature financial engineering techniques; (5) problems related to the public sector; and (6) problems related to the private sector. To explore measures for removing these barriers, a systematic research approach (literature review, case studies and interviews/correspondences with experts and experienced practitioners) has been taken to draw experience, learn lessons, and benchmark the best practices in international PPPs. An improved PPP protocol for infrastructure projects in general has been developed, addressing key issues in nine areas: (1) appropriate roles of governmental authorities; (2) best value for money approach; (3) effective management of adviser services; (4) formulation of appropriate PPP schemes; (5) use of relational contracts; (6) improvement of the procurement framework; (7) payment structure; (8) contract monitoring, termination, and step-in rights; and (9) transfer management. Effective measures for successful PPPs are identified in each of the nine areas.

Zheng, D X M, Ng, S T and Kumaraswamy, M M (2005) Applying Pareto Ranking and Niche Formation to Genetic Algorithm-Based Multiobjective Time–Cost Optimization. Journal of Construction Engineering and Management, 131(01), 81–91.