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Using Online Simulation Technique for Revenue-Based Value for Money Assessment Model in PPP Project

机译:PPP项目中基于在线模拟技术的基于收益的货币评估模型

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Infrastructure public private partnerships (PPP) procurement must be carefully selected on the basis of value for money when compared to conventional procurement. While the value for money analysis has been widely used to ensure low procurement cost in PPP, little is known with respect to its effectiveness and data source. The paper explores existing value for money assessment model and reports its deficiencies in ignoring project revenue and network data collecting. Addressing the current issues, a new revenue based value for money assessment model with Monte Carlo simulation technique is proposed. Data used for simulation come from project participants who obtain and share data through an online virtual collaborative platform. By applying this online technique, project data is more easily shared and reused. This data transmission process is automated and seamless. Then, the effectiveness of new model was examined by using a hypothetical toll road case. It shows that the new value for money assessment model demonstrates the significant advantage in estimating the risk, cost, and revenue variance and assisting the public agency to make decision in the procurement phase.
机译:与常规采购相比,必须根据物有所值精心选择基础设施公私合营(PPP)采购。物有所值分析已被广泛用于确保PPP中较低的采购成本,但对其有效性和数据来源知之甚少。本文探索了现有的物有所值评估模型,并报告了其在忽略项目收入和网络数据收集方面的不足。针对当前问题,提出了一种新的基于蒙特卡罗模拟技术的基于收入的物有所值评估模型。用于仿真的数据来自项目参与者,他们通过在线虚拟协作平台获取和共享数据。通过应用此在线技术,可以更轻松地共享和重用项目数据。该数据传输过程是自动化且无缝的。然后,通过一个假设的收费公路案例研究了新模型的有效性。它表明,新的物有所值评估模型显示出在评估风险,成本和收入差异以及协助公共机构在采购阶段做出决策方面的显着优势。

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