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The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project

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  • Wu Gao
  • Kairong Hong

Abstract

This paper focuses on a three-dimensional portfolio balanced risk index model for large-scale infrastructure project risk evaluation as a hot topic of current research. Taking subjectivity utility and complex evaluation motivation into consideration, a method of combinational equilibrium evaluation is built using the index form to reflect whole loss changes of risk. For risk index evaluation and measurement issues, this paper first constructs a risk evaluation index system and three risk coefficients of single factor by questionnaire survey and fuzzy evaluation. Then we calculate the risk index of single factor, which arrives at the classification and combination risk index through AHP method. Finally, we verify the index validity by analysis of examples. With this research we expand the evaluation dimension and provide a new analytical tool for risk monitoring and warning.

Suggested Citation

  • Wu Gao & Kairong Hong, 2017. "The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project," Complexity, Hindawi, vol. 2017, pages 1-13, May.
    • Handle: RePEc:hin:complx:5174613
    DOI: 10.1155/2017/5174613
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    References listed on IDEAS

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    1. Karl Schurter & Bart J. Wilson, 2009. "Justice and Fairness in the Dictator Game," Southern Economic Journal, John Wiley & Sons, vol. 76(1), pages 130-145, July.
    2. Karl Schurter & Bart J. Wilson, 2009. "Justice and Fairness in the Dictator Game," Southern Economic Journal, John Wiley & Sons, vol. 76(1), pages 130-145, July.
    3. Sabrina Teyssier, 2012. "Inequity and risk aversion in sequential public good games," Public Choice, Springer, vol. 151(1), pages 91-119, April.
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    Cited by:

    1. Ru Liang & Zhaohan Sheng & Xiangyu Wang, 2018. "Methods Dealing with Complexity in Selecting Joint Venture Contractors for Large-Scale Infrastructure Projects," Complexity, Hindawi, vol. 2018, pages 1-14, January.

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