IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-33-4363-4_7.html
   My bibliography  Save this book chapter

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

In: Ieis 2020

Author

Listed:
  • Yuting Feng

    (Beijing Jiaotong University)

  • Xuemeng Guo

    (Beijing Jiaotong University)

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.

Suggested Citation

  • Yuting Feng & Xuemeng Guo, 2021. "Research on Risk Identification and Evaluation of PPP in Traffic Infrastructure Construction—Take X City Rail Transit as an Example," Springer Books, in: Menggang Li & Gábor Bohács & Guowei Hua & Daqing Gong & Xiaopu Shang (ed.), Ieis 2020, pages 77-98, Springer.
  • Handle: RePEc:spr:sprchp:978-981-33-4363-4_7
    DOI: 10.1007/978-981-33-4363-4_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-33-4363-4_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.