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Anastasopoulos, P C, Haddock, J E and Peeta, S (2014) Cost Overrun in Public-Private Partnerships: Toward Sustainable Highway Maintenance and Rehabilitation. Journal of Construction Engineering and Management, 140(06).

  • Type: Journal Article
  • Keywords: Construction costs; Partnerships; Sustainable development; Highways and roads; Rehabilitation; Maintenance; Cost overrun; Public-private partnerships; Sustainable highway preservation; Highway maintenance and rehabilitation; Contracting;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000854
  • Abstract:
    Transportation agencies worldwide have been preparing themselves to face the growing demand for transportation infrastructure by forming public-private partnerships (PPP), contractual agreements formed between public and private sector entities, to allow for greater private sector participation in the delivery of transportation projects. However, there is one major concern that needs to be addressed: the issue of accurately estimating maintenance and rehabilitation costs at the project planning stage. The accuracy of these estimates plays a significant role in determining project characteristics, and in selecting appropriate projects and PPP approaches for implementation, so that they may lead to sustainable highway preservation strategies. This paper compares the contract winning bid cost with the final as-built cost of highway maintenance and rehabilitation projects, determines possible cost overruns across the projects and identifies influential factors that affect them. The analysis is performed separately by PPP contracting approach, and thereby relaxes the assumption of past research that cost overrun behaves identically across different contracting approaches. The results show that a number of factors play a role in the determination of cost overrun, including the project size (cost, duration, and length) and specific maintenance and rehabilitation activities.

Becker, T C, Jaselskis, E J and El-Gafy, M (2014) Improving Predictability of Construction Project Outcomes through Intentional Management of Indirect Construction Costs. Journal of Construction Engineering and Management, 140(06).

Chen, Y Q, Zhang, Y B and Zhang, S J (2014) Impacts of Different Types of Owner-Contractor Conflict on Cost Performance in Construction Projects. Journal of Construction Engineering and Management, 140(06).

El-Abbasy, M S, Senouci, A, Zayed, T, Mirahadi, F and Parvizsedghy, L (2014) Condition Prediction Models for Oil and Gas Pipelines Using Regression Analysis. Journal of Construction Engineering and Management, 140(06).

Hawas, F and Cifuentes, A (2014) Valuation of Projects with Stochastic Cash Flows and Intertemporal Correlations: Practical Modeling Guidelines. Journal of Construction Engineering and Management, 140(06).

Ko, C and Chung, N (2014) Lean Design Process. Journal of Construction Engineering and Management, 140(06).

Lee, H W, Choi, K and Gambatese, J A (2014) Real Options Valuation of Phased Investments in Commercial Energy Retrofits under Building Performance Risks. Journal of Construction Engineering and Management, 140(06).

Maghrebi, M, Travis Waller, S and Sammut, C (2014) Assessing the Accuracy of Expert-Based Decisions in Dispatching Ready Mixed Concrete. Journal of Construction Engineering and Management, 140(06).

O’Connor, J T, O’Brien, W J and Choi, J O (2014) Critical Success Factors and Enablers for Optimum and Maximum Industrial Modularization. Journal of Construction Engineering and Management, 140(06).

Russell, M M, Hsiang, S M, Liu, M and Wambeke, B (2014) Causes of Time Buffer and Duration Variation in Construction Project Tasks: Comparison of Perception to Reality. Journal of Construction Engineering and Management, 140(06).

West, J (2014) Collaborative Patterns and Power Imbalance in Strategic Alliance Networks. Journal of Construction Engineering and Management, 140(06).

Zhang, S, Migliaccio, G C, Zandbergen, P A and Guindani, M (2014) Empirical Assessment of Geographically Based Surface Interpolation Methods for Adjusting Construction Cost Estimates by Project Location. Journal of Construction Engineering and Management, 140(06).