A fuzzy simulation model for evaluating the concession items of public-private partnership schemes

S. Thomas Ng*, Jingzhu Xie, Martin Skitmore, Yau Kai Cheung

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

59 Citations (Scopus)

Abstract

The investment return, tariff regime and concession period are the most important items that influence the success of a concession-based public-private partnership (PPP) project. From the public partner's perspective, whether a scheme is value-for-money or not dominates the decision-making process. However, a seemingly favorable deal may turn out to be the least value-for-money option should it cause unnecessary social upheaval, such as excessive tariff increases or complaints. A scheme which is truly value-for-money is one which balances the interests of the public partner, investor and end-users. In this paper, a simulation model is proposed to assist a public partner to identify the concession period based on the expected investment and tariff regime. The needs for establishing different scenarios to represent the risks and uncertainties involved are presented, and a fuzzy multi-objective decision model is introduced to trade-off the associated three concession items. The combined features of the simulation and fuzzy multi-objective decision models enable the scenario most likely to result in a "win-win-win" concession scheme to be identified. A hypothetical example is used to illustrate the proposed model. This highlights the importance of the decision-makers' perception of the concession items in influencing their selection, and the influence of the group decision-making involved. © 2007 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)22-29
JournalAutomation in Construction
Volume17
Issue number1
DOIs
Publication statusPublished - Nov 2007
Externally publishedYes

Bibliographical note

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Research Keywords

  • Concession period
  • Fuzzy sets
  • Public-private partnership
  • Simulation
  • Tariff regime

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