Managerial Smart Governance Model and Indicators as an Evaluation Methodology to Promote Public-Private Partnership in Infrastructure Projects | ||||
| Port-Said Engineering Research Journal | ||||
| Article 2, Volume 25, Issue 2, September 2021, Page 13-25 PDF (792.75 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/pserj.2021.54652.1082 | ||||
 View on SCiNiTO | ||||
| Author | ||||
ahmed mohamed selim 
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| Lecturer at the Department of Architecture Engineering, Modern Academy, Cairo, Egypt. | ||||
| Abstract | ||||
| Urbanization in recent decades faces great challenges, as a result of the rapid increase in population, whereas, The world's population will increase to be 9.2 billion in 2050, which means 2.2 billion more than now, therefore, that will affect directly in the countries infrastructure. Furthermore, the cost of the renewal and establishing new infrastructure will be too expensive and need huge budgets. This paper argues, smart governance through the context of cities infrastructure implementation, by activating citizens participation and using technology, in addition, the contribution of Public-Private Partnerships (PPPs) to provide smart solutions, funding, and improving the performance of operation and maintenance process for these projects, which considers the main pillar to face the urban growth challenges and achieving sustainable development. On another hand, and from analysis of the literature review for smart governance and (PPPs) approach, the study suggests a managerial governance model, which illustrate the role of the state, civil society, and the private sector, who play a critical role to achieve smart governance in infrastructure projects by (PPPs), to provide clear criteria to support the success of this type of projects, in addition, proposing indicators for smart governance in infrastructure projects to measure The extent of achieving effective participation between the parties to the suggested model. | ||||
| Keywords | ||||
| smart governance; public-private partnership; infrastructure projects; managerial model; smart governance indicators | ||||
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