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Quantifying the Decision-Making of PPPs in China by the Entropy-Weighted Pareto Front: A URT Case from Guizhou

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School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
2
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
3
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(6), 1753; https://doi.org/10.3390/su10061753
Received: 4 April 2018 / Revised: 11 May 2018 / Accepted: 23 May 2018 / Published: 27 May 2018
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
In recent years, value for money (VFM) evaluations using the Public Sector Comparator (PSC) method have gradually been adopted by governments worldwide in the field of public investment, and used as decision-making tools for public–private partnership (PPP) projects. However, there has been little research concerned with such emerging decision-making questions with VFM. This paper proposed a quantitative decision-making method of entropy-weighted Pareto front applied in the specific context of Chinese PPPs, with a case study of an Urban Transit Railway (URT) PPP project from Guizhou province. Factor analysis was used to extract the qualitative indicators of VFM evaluation, associate them with the quantitative characteristics of the project, and thus help public sector decision-makers choose the proper quantitative decision variables. View Full-Text
Keywords: decision-making; Public-Private Partnerships; value for money; Pareto Front; entropy weight; factor analysis decision-making; Public-Private Partnerships; value for money; Pareto Front; entropy weight; factor analysis
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Liu, F.; Liu, J.; Yan, X. Quantifying the Decision-Making of PPPs in China by the Entropy-Weighted Pareto Front: A URT Case from Guizhou. Sustainability 2018, 10, 1753.

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