Developing a Fuzzy Value-for-Money Analysis Model for Annuity-Based Public-Private Partnership Infrastructure Projects under Consideration of Risk Mitigation Capability
Publication: Journal of Construction Engineering and Management
Volume 146, Issue 7
Abstract
Optimal allocation of risk between the public and private sector is instrumental to the enhancement of value-for-money (VFM) for public-private partnership (PPP) infrastructure projects. This study offers a novel method that considers the risk mitigation capability (RMC) of the public and private sector to evaluate VFM of a PPP infrastructure project under the performance-based annuity (PPP/AP) scheme. It is the first attempt to incorporate both the RMC and risk allocation decisions into VFM development quantitatively. This model applies a combination of the Takagi-Sugeno fuzzy inference system and statistical methods. The perceptional data from Indonesian PPP experts were collected to estimate model parameters and assess the VFM of a 73 km Indonesian public road, and then used to illustrate the application of the model. The result shows that moderate levels of RMC for both the public and private sector, worsened by suboptimal risk allocation, lead to a no-go decision with PPP/AP. The proposed model makes earlier PPP decision-making possible for the public sector before invitations for bids.
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Data Availability Statement
Data generated or analyzed during the study are available from the corresponding author by request.
Acknowledgments
Some parts of this study were based on the research work conducted during the first author’s postdoctoral research visit at Technical University Berlin with the full support of Alexander von Humboldt Foundation. However, the final product of this research was based on the equal contribution of the two authors. Moreover, the authors express gratitude to the respondents for the willingness to participate in the survey and to the two anonymous reviewers for providing useful comments that helped improve the quality of the original manuscript.
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©2020 American Society of Civil Engineers.
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Received: May 23, 2019
Accepted: Feb 11, 2020
Published online: May 11, 2020
Published in print: Jul 1, 2020
Discussion open until: Oct 11, 2020
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