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Stackelberg Game Theory-Based Optimization Model for Design of Payment Mechanism in Performance-Based PPPs

机译:基于Stackelberg博弈论的基于绩效的PPPs支付机制设计优化模型

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摘要

Payment mechanisms lie at the heart of public-private partnership (PPP) contracts. A good design of the payment mechanism should consider the owner's goals in the project, allocate risks appropriately to stakeholders, and assure satisfactory performance by providing reasonable compensation to the private developer. This paper proposes a Stackelberg game theory-based model to assist public agencies in designing payment mechanisms for PPP transportation projects. The interests of both public and private sectors are considered and reflected by a bilevel objective function. The model aims to search for solutions that maximize a project's overall performance for the sake of social welfare while simultaneously maximizing return for the sake of private investment. A variable elimination method and genetic algorithm are used to solve the optimization model. A case study based on a real PPP project is discussed to validate the effectiveness of the proposed model. The solutions provided by the model reveal that the optimal payment mechanism structure could be established such that it would satisfy owners' requirements for overall project performance while optimizing project total payments to contractors.
机译:付款机制是公私伙伴关系(PPP)合同的核心。良好的付款机制设计应考虑所有者在项目中的目标,适当地将风险分配给利益相关者,并通过向私人开发商提供合理的补偿来确保令人满意的表现。本文提出了一种基于Stackelberg博弈论的模型,以协助公共机构设计PPP运输项目的付款机制。双重目标函数考虑并反映了公共部门和私营部门的利益。该模型旨在寻求解决方案,以实现社会福利最大化的项目整体绩效,同时为了私人投资最大化回报。采用变量消除法和遗传算法求解优化模型。讨论了一个基于实际PPP项目的案例研究,以验证所提出模型的有效性。该模型提供的解决方案表明,可以建立最佳付款机制结构,以使其既能满足业主对总体项目绩效的要求,又能优化对承包商的项目总付款。

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  • 来源
    《Journal of Construction Engineering and Management》 |2020年第4期|04020029.1-04020029.13|共13页
  • 作者

  • 作者单位

    Univ Washington Coll Built Environm Dept Construct Management 120F Architecture Hall Box 351610 Seattle WA 98195 USA;

    Univ Washington Dept Construct Management 120F Architecture Hall Box 351610 Seattle WA 98195 USA;

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  • 正文语种 eng
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