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Ahn, S, Lee, S and Steel, R P (2014) Construction Workers’ Perceptions and Attitudes toward Social Norms as Predictors of Their Absence Behavior. Journal of Construction Engineering and Management, 140(05).
Anh Tuan, B L, Tesfamariam, M G, Chen, Y, Hwang, C, Lin, K and Young, M (2014) Production of Lightweight Aggregate from Sewage Sludge and Reservoir Sediment for High-Flowing Concrete. Journal of Construction Engineering and Management, 140(05).
Anjaneyappa, V, Amarnath, M S and Srinivasamurthy, B R (2014) Compacting Characteristics of Light Compacting Equipment. Journal of Construction Engineering and Management, 140(05).
Chen, L and Manley, K (2014) Validation of an Instrument to Measure Governance and Performance on Collaborative Infrastructure Projects. Journal of Construction Engineering and Management, 140(05).
Dadi, G B, Goodrum, P M, Taylor, T R B and Carswell, C M (2014) Cognitive Workload Demands Using 2D and 3D Spatial Engineering Information Formats. Journal of Construction Engineering and Management, 140(05).
Heravi, G and Jafari, A (2014) Cost of Quality Evaluation in Mass-Housing Projects in Developing Countries. Journal of Construction Engineering and Management, 140(05).
Hu, D and Mohamed, Y (2014) Simulation-Model-Structuring Methodology for Industrial Construction Fabrication Shops. Journal of Construction Engineering and Management, 140(05).
Huang, Y and Pi, C (2014) Real-Option Valuation of Build-Operate-Transfer Infrastructure Projects under Performance Bonding. Journal of Construction Engineering and Management, 140(05).
Kim, J, Greene, M and Kim, S (2014) Cost Comparative Analysis of a New Green Building Code for Residential Project Development. Journal of Construction Engineering and Management, 140(05).
Kim, T W and Fischer, M (2014) Automated Generation of User Activity–Space Pairs in Space-Use Analysis. Journal of Construction Engineering and Management, 140(05).
Li, M, Chen, J, Xu, A, Xia, X and Wang, J (2014) Case Study of Innovative Top-Down Construction Method with Channel-Type Excavation. Journal of Construction Engineering and Management, 140(05).
Rajan, T A, Gopinath, G and Behera, M (2014) PPPs and Project Overruns: Evidence from Road Projects in India. Journal of Construction Engineering and Management, 140(05).
Sousa, V, Almeida, N M, Dias, L A and Branco, F A (2014) Risk-Informed Time-Cost Relationship Models for Sanitation Projects. Journal of Construction Engineering and Management, 140(05).
Wang, Y, Zhu, S and Wong, A S T (2014) Cooling Time Estimation of Newly Placed Hot-Mix Asphalt Pavement in Different Weather Conditions. Journal of Construction Engineering and Management, 140(05).
Xiong, W and Zhang, X (2014) Concession Renegotiation Models for Projects Developed through Public-Private Partnerships. Journal of Construction Engineering and Management, 140(05).
- Type: Journal Article
- Keywords: Partnerships; Time series analysis; Private sector; Project management; Public-private partnerships; Renegotiation; Compensation; Time-series analysis;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000843
- Abstract:
Contractual agreements between public agencies and private companies in the form of public-private partnerships (PPPs) have proven to be beneficial to both the public and private sectors. However, PPPs expose the concessionaire to a number of potential risks over the long concession period and the concessionaire may not be able to recover the large initial investment and obtain a reasonable rate of return if significant difficulties occur in the concession period. Hosting governments normally allow concession renegotiations when certain serious risk scenarios occur. International PPP practices have shown conflicting results from renegotiations, and many renegotiations have raised serious questions about the viability of the PPP approach. To facilitate renegotiations between the public and private sectors, this research has developed a concession renegotiation framework and compensation models for three common compensation measures, namely, toll adjustment, contract extension, and annual subsidy or unitary payment adjustment. The key issue in developing a quantitative compensation model is to estimate future cash flows, in which future traffic demand and operation and maintenance costs are important stochastic variables. Time-series models have been used to forecast these stochastic variables.
Xu, J and Song, X (2014) Suggestions for Temporary Construction Facilities’ Layout Problems in Large-Scale Construction Projects. Journal of Construction Engineering and Management, 140(05).