Journal of Guangdong University of Technology ›› 2018, Vol. 35 ›› Issue (03): 79-86.doi: 10.12052/gdutxb.170160

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Public Participation in Decision-making of PPP Project Based on Bayesian Network

Fang Yuan, Liu Jun-huai, Xie Jing-zhu, Lu Xiao-qing, Zeng Yan-qian, Xie Han-xiong   

  1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2017-11-30 Online:2018-05-09 Published:2018-05-24
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Abstract: The decision making process of PPP projects always focuses on the profitability and meeting the interest of government sectors and private investors. The decision maker paid little attention to the requirement and preference of the public users, resulting in low social satisfaction and poor national economic effect. In order to reduce the risk of social stability which always comes from project's low social satisfaction, the feasibility and effectiveness of the public participating in the decision-making of PPP projects are discussed. Then a multi-objective decision making model based on Bayesian theory is established to help the decision maker adopting the method of adding the public factors in the planning stage of PPP project. The simulation process is introduced and the simulation results are analyzed through an assumed commercial project. The results show that the public and investor's satisfaction are both considered in the decision making process of project implement scheme. The decision making system based on Bayesian model offers a quantitative way to assist the decision maker in getting a reasonable result with good public participation.

Key words: Public Private Partnership, Bayesian network model, public participation, decision support system

CLC Number: 

  • F282
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