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Research on Risk Identification and Evaluation of PPP in Traffic Infrastructure Construction—Take X City Rail Transit as an Example

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IEIS 2020

Abstract

Since the introduction of the PPP model in China at the end of the twentieth century, the PPP model has been widely used in China. As of the end of January 2019, 8735 new PPP projects with a total investment of 13.2 trillion yuan were included in the management database of the Ministry of Finance. In order to ensure the development and promotion of PPP projects, how to effectively manage the risks in PPP projects Identification, assessment and control have become the key to the development of the PPP model. This paper first reviews the relevant literature of the infrastructure PPP model through the method of literature research, introduces the classification and basic characteristics of the PPP model in China, and sorts out the existing literature from the aspects of risk identification, assessment and control. Secondly, this paper takes the X-city rail transit PPP project as the research object, identifies the risk factors based on the characteristics of the project’s PPP mode of “separation of network and transportation”, establishes a risk evaluation index system, and uses a fuzzy evaluation method based on AHP to evaluate the project. For risk evaluation, the SPC project company is used as the risk subject, and according to the different characteristics of different risks, its specific undertaking subjects are further subdivided. The risk sharing system for the PPP project of transportation infrastructure is designed, and suggestions are given.

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Acknowledgements

“Study on the Performance Evaluation System of PPP Passenger Flow-Value Flow” in the PPP Model of Urban Rail Transit supported by the National Natural Science Foundation of China (71973009).

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Correspondence to Yuting Feng .

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Feng, Y., Guo, X. (2021). Research on Risk Identification and Evaluation of PPP in Traffic Infrastructure Construction—Take X City Rail Transit as an Example. In: Li, M., Bohács, G., Hua, G., Gong, D., Shang, X. (eds) IEIS 2020. Springer, Singapore. https://doi.org/10.1007/978-981-33-4363-4_7

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