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Abstract This thesis offers a comprehensive risk assessment methodology that provides a decision support tool, directed for construction organizations, which can be utilized through the bidding decisions for infrastructure projects. Within this context the analytic network process technique is implemented to develop a risk assessment model, which is used to derive the relative priorities of the risk factors associated with infrastructure projects to determine the most capable contractor to deal with risks in infrastructure projects. The findings of the risk assessment model have demonstrated that the most significant sources of risk are Instability of Economic Conditions, vagueness of contract conditions, and immaturity of legal system in the country. Factors such as Strict Environment Regulation, Strict Safety & Health Requirements, and Corruptions were found to be relatively insignificant. The aim of this research is to develop a model that combines both research standpoints and develop a risk assessment model for infrastructure projects by using Analytic Network Process (ANP), to determine contractor capabilities and possibilities for this kind of projects. In order to be able to achieve the previously stated objectives supportive methodology was prepared, thus the methodology followed in this thesis is avowed below: Identification of the risk factors associated with infrastructure projects through literature review, discussion sessions, and experience. Development of the logical grouping for the identified risk factors according to the potential relations between them, and then creates the risk breakdown structure consequential from the logical grouping of the risk factors. Utilization of SUPERDECISIONS software to construct the (ANP) model and find the importance weights priorities of the risk factors. |