The Management of Public-Private Partnership Projects, the Development of a Selection Model for Transportation Projects based on the Concept of Sustainability

Document Type : Original Article

Authors
Garshasb Khazaeni 1
Ali Khazaeni 2
1 Assistant Professor, Department of Civil Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran.
2 M.Sc., Grad., Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
10.22034/road.2023.420836.2212
Abstract
The limitation of budget resources to complete half-finished projects has caused a large number of government agencies and the public sector to monitor the attraction of private investors and to hold numerous calls to attract investors through public-private partnerships in the country. But all the projects defined for this method have not been successful and sometimes they have faced failure and waste of high preparation costs. In this article, a screening model has been developed that helps public sector employers to determine the chance of project success before holding a call and provides a tool for selecting projects in the organization's investment portfolio. For this purpose, the success criteria of public-private partnership projects in Iran were identified and categorized in the form of quantitative criteria. Then, a multi-criteria decision-making model based on the TOPSIS model has been developed, which can quantitatively measure the chance of success of each project and select projects based on the resilience of the business organization. The results of the implementation of the proposed model in several case projects in the field of urban transportation show that in order to achieve a balanced portfolio of public-private partnership projects, in addition to the characteristics of the project, the public sector must also pay attention to capacity building to accept more risks and control the social aspects of the project.
Keywords
Public-Private Partnership
Project Screening
Project Portfolio Management
Project Success Assessment
Organizational Risk Analysis
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