2007
DOI: 10.1016/j.ijproman.2006.06.003
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A game theory approach for the allocation of risks in transport public private partnerships

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Cited by 258 publications
(140 citation statements)
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“…The first one is summarizing and refining the theoretical principles of RA, and its purpose is to guide the contractual arrangements of RA [4][5][6][7], but other studies have found that there are some deviations between the theoretical principles and the practical operation of RA, or even completely opposite [3]. The second one focuses on the quantitative studies of RA decision, and its main idea is to construct quantitative models of RA decision by AHP, fuzzy mathematics, game theory and other mathematical tools [8] [9]. In short, the normative research results showed increasingly out of touch with reality, and the quantitative studies of RA decision maybe more active which reflects the development trend of RA decision in the future.…”
Section: Research Status and Trends Of Ra In Engineering Managementmentioning
confidence: 99%
“…The first one is summarizing and refining the theoretical principles of RA, and its purpose is to guide the contractual arrangements of RA [4][5][6][7], but other studies have found that there are some deviations between the theoretical principles and the practical operation of RA, or even completely opposite [3]. The second one focuses on the quantitative studies of RA decision, and its main idea is to construct quantitative models of RA decision by AHP, fuzzy mathematics, game theory and other mathematical tools [8] [9]. In short, the normative research results showed increasingly out of touch with reality, and the quantitative studies of RA decision maybe more active which reflects the development trend of RA decision in the future.…”
Section: Research Status and Trends Of Ra In Engineering Managementmentioning
confidence: 99%
“…As risks are shaped by the perspectives from which we look at them, some studies have investigated this aspect such as [40,41,52,53]. Quantitative analysis and tools to assist with decision-making in risk allocation include game theory as a modelling and analysis framework-see, for example [17].…”
Section: General Framework For Ppps: a Solution Algorithmmentioning
confidence: 99%
“…To the best of our knowledge, contributions within this analysis framework make use of the Cardinal game theory modelling framework to analyse various decisions in PPP projects. To be more specific, the various decisions in PPP projects that have been addressed so far include bidding price [11], bid compensation for projects with costly bid preparation [12]; concession period-also referred to as stipend or honorarium [13][14][15]; costs and benefits allocation [16], risk sharing and allocation [17]; resource pricing and allocation [18], resource value increment allocation [19], royalties and subsidies negotiation [20], negotiation of changes in output-based specifications [21] and claims, financial renegotiations, and opportunistic behaviour [22][23][24]. To be the best of our knowledge, so far the decision problem concerned with the selection of the private sector partners has not been addressed yet within a game theory framework, although-at least conceptually-game theory is the most suitable analysis and solution framework as, by design, it allows one to take account of both the public sector perspective and the public sector perspective, and hence, it provides a more realistic solution for implementation.…”
Section: Introductionmentioning
confidence: 99%
“…Ho (2006) provided a theoretical model as the basis for G to renegotiate to be rescued from difficulties. Medda (2007) analyzed the bargaining process and the distribution of risk between the public and private sectors for transportation infrastructures. The Nanzih Wastewater Treatment Project that provides important experiences and lessons for both the public and private sectors is the first PPP application in Taiwan's wastewater treatment sector (Zheng, Tiong 2010).…”
Section: Reviewing the Documents Relevant To Taiwan High-speed Rail Pmentioning
confidence: 99%