缓解计划维护对地铁轨道吸引力影响的多模式解决方案方法
A multimodal solution approach for mitigating the impact of planned maintenance on metro rail attractiveness
摘要：
由于有计划的维修活动，可能无法提供城市铁路运输服务，这可能对服务质量产生重大影响，从而影响铁路的吸引力。为缓解计划中的服务中断，并保证乘客的无缝旅程和良好的旅行体验，可以以不同的方式利用现有服务和/或提供额外的按需服务，例如临时补充巴士线路。在此背景下，本文旨在开发一个数学规划模型，规划服务中断，由于维修考虑客运需求动态。特别是，所提出的方法处理服务中断的特点是时间表适应策略不适用的时间长，建议缓解行动，利用现有的服务和/或激活额外的，以尽量减少用户的不便。在此过程中，规划的基础设施状况（即，现有或正在维修的车辆）以及预测的运输需求，以便通过向乘客提供多式联运解决方案，相应调整服务。为了找到最佳的解决方案，分解解决方案的方法，提出了一个多阶段的合作框架与反馈模型的谈判过程中所涉及的演员。最后，基于一些性能指标，讨论了所提出的方法对实际案例研究的适用性。
英文摘要：
The possible unavailability of urban rail-based transport services due to planned maintenance activities may have significant consequences on the perceived quality of service, thus affecting railway attractiveness. To cope with the mitigation of planned service interruptions and to guarantee a seamless journey and a good travel experience for passengers, it is possible to exploit the existing services differently and/or provide additional on-demand services, such as temporary supplemental bus lines. In this context, this paper aims to develop a mathematical programming model for planning service interruptions due to maintenance considering passenger transport demand dynamics. In particular, the proposed approach deals with service interruptions characterized by a long duration for which timetable adaption strategies are not applicable, suggesting mitigation actions that exploit the already existing services and/or the activation of additional ones, with the aim of minimizing users' inconvenience. In doing so, the planned infrastructure status (i.e., available or under maintenance), as well as the forecasted transport demand, are taken into account to adapt the service accordingly by offering a multimodal transport solution to passengers. To find the best solution, a decomposition solution approach is proposed in combination with a multistage cooperative framework with feedback that models the negotiation process between the involved actors. Finally, the applicability of the proposed approach to real case studies is discussed based on some performance indicators.
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