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Incentive Contract Design for the Water-Rail-Road Intermodal Transportation with Travel Time Uncertainty: A Stackelberg Game Approach

机译:旅行时间不确定性的热轨道交通运输的激励合约设计:Stackelberg游戏方法

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摘要

In the management of intermodal transportation, incentive contract design problem has significant impacts on the benefit of a multimodal transport operator (MTO). In this paper, we analyze a typical water-rail-road (WRR) intermodal transportation that is composed of three serial transportation stages: water, rail and road. In particular, the entire transportation process is planned, organized, and funded by an MTO that outsources the transportation task at each stage to independent carriers (subcontracts). Due to the variability of transportation conditions, the travel time of each transportation stage depending on the respective carrier’s effort level is unknown (asymmetric information) and characterized as an uncertain variable via the experts’ estimations. Considering the decentralized decision-making process, we interpret the incentive contract design problem for the WRR intermodal transportation as a Stackelberg game in which the risk-neutral MTO serves as the leader and the risk-averse carriers serve as the followers. Within the framework of uncertainty theory, we formulate an uncertain bi-level programming model for the incentive contract design problem under expectation and entropy decision criteria. Subsequently, we provide the analytical results of the proposed model and analyze the optimal time-based incentive contracts by developing a hybrid solution method which combines a decomposition approach and an iterative algorithm. Finally, we give a simulation example to investigate the impact of asymmetric information on the optimal time-based incentive contracts and to identify the value of information for WRR intermodal transportation.
机译:在多式联运运输运营商(MTO)的利益中,激励合同设计问题对激励合同设计问题产生了重大影响。在本文中,我们分析了由三个连续运输阶段组成的典型的防水道路(WRR)多式联运:水,铁路和道路。特别是,由MTO计划,组织和资助的整个运输过程,这些运输工具将在每个阶段提供交通任务到独立运营商(分包)。由于运输条件的可变性,根据各个运营商的努力水平的每个运输阶段的旅行时间是未知的(不对称信息),并且通过专家估计表征为不确定的变量。考虑到分散的决策过程,我们将WRR多式联运的激励合约设计问题解释为一个Stackelberg游戏,其中风险中性MTO作为领导者和风险厌恶载体作为追随者。在不确定性理论的框架内,我们在期望和熵决策标准下制定了一个不确定的双级编程模型,为激励合同设计问题。随后,我们通过开发结合分解方法的混合解决方法和迭代算法来提供所提出的模型的分析结果,并通过开发混合解决方法来分析最佳时间的激励合同。最后,我们提供了一个模拟示例,以调查非对称信息对基于最佳时间的激励合约的影响,并确定WRR多式联运信息的价值。

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