Assessing and Prioritizing Risks in regional infrastructure projects based on public-private partnership (PPP) method using a combination of fuzzy multi-criteria decision making techniques (Case study: Freeway)

Authors

• ebrahim jokar ¹
• babak aminnejad ²
• alireza lork ³

¹ Assistant Professor, Department of Civil Engineering, Dariun Branch, Islamic Azad University, Dariun, Iran

² Assistant Professor, Department of Civil Engineering, Rodehen Branch, Islamic Azad University, Rodehen, Iran.

³ Assistant Professor, Department of Civil Engineering, Safadasht Branch, Islamic Azad University, Safadasht, Iran.

10.30495/jzpm.2021.26822.3807

Abstract

One of the most important indicators of economic development in a country is regional planning for the construction of infrastructure projects. Public-private partnership (PPP) contracts provide a viable solution for governments to overcome constraints, but due to the complexity, length of time, and high uncertainties of this contractual approach, it carries many risks. Therefore, the main purpose of research is to identify and evaluate the most important risks in PPP projects with a case study in Iranian freeway projects. In the present article, by in-depth study of the research literature and application of the Delphi method, the most important risks of public-private partnership projects were identified then qualitative analysis is performed to determine the significant risks and the risk assessment model is developed using a combination of fuzzy multi-criteria decision making techniques. The results of quantitative risk analysis using FAHP method showed that the first level risks in seven different categories including economic risk and financing, construction, operational, legal, political, other risks and government risks, respectively, have the greatest impact on this type of projects. The results of quantitative risk analysis using FAHP method showed that the first level risks in seven different categories including economic risk and financing, construction, operational, legal, political, other risks and government risks, respectively, have the greatest impact on this type of projects. Also, the results of sub-criteria ranking showed that high financing costs, quality of performance and standards, lack of support infrastructure have the greatest impact on these projects. Finally, the results of FTOPSIS showed that projects A, B and C were more affected by risks, respectively. The findings help with strengthening the capabilities of developing countries for risk management in freeway PPP projects.

Keywords

• Infrastructure Project Risks
• Public-Private Partnership (PPP)
• Integrated Fuzzy Multi-Criteria Decision Making Techniques
• Risk Management Pattern

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