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Timetable quality from the perspective of a railway infrastructure manager in a deregulated market: An interview study with Swedish practitioners

机译:从监督市场中铁路基础设施经理的角度来看的时间表质量:与瑞典从业者进行面试学习

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摘要

Railway capacity allocation in a deregulated market requires planners to solve a mathematically complex optimization problem while simultaneously arbitrating the wants and needs of different stakeholders. This paper analyses timetable quality from the perspective of timetable planners working for the Swedish infrastructure manager Trafikverket. Seven quality aspects are discussed-feasibility, disturbance resistance, competition management, capacity safeguarding, application fulfilment, attractiveness and compatibility with surrounding planning areas. Each aspect is introduced, including references to legal documents, development projects, and research literature. Further, an interview study with eight practitioners gives insight into the current state of practice in Sweden. The practitioners consider feasibility to be both most important and easiest to handle. Capacity safeguarding is considered least important, despite its prevalence in legal documents and envisioned process developments, and is also considered hardest to handle. In general, formal rules and guidelines seem important for emphasising the importance of a quality aspect in the planning process. To better support the planners in their arbitrating role, timetable planning tools based on mathematical optimization models could be implemented. For example, support tools could be used to analyse different solutions, and could unburden the planner from working with feasibility aspects by providing automatic conflict identification and resolution.
机译:解除管制市场中的铁路容量分配要求规划者解决数学上复杂的优化问题,同时仲裁不同利益相关者的需求和需求。本文从为瑞典基础设施经理Trafikverket工作的时间表规划者的角度分析了时间表质量。讨论了七种质量方面 - 可行性,抗干扰,竞争管理,能力保障,应用履行,吸引力和与周边规划领域的兼容性。介绍了每个方面,包括参考法律文件,发展项目和研究文献。此外,有八名从业者的面试学习介绍了瑞典目前的实践状态。从业者认为可行性最重要,最容易处理。尽管其在法律文件和设想的流程开发中存在普遍存在,但仍被认为是最重要的,并且也被认为是最难处理的能力保障。一般而言,正式规则和指导方针似乎很重要,以强调规划过程中质量方面的重要性。为了更好地支持策划者在仲裁作用中,可以实现基于数学优化模型的时间表规划工具。例如,可以使用支持工具来分析不同的解决方案,并且可以通过提供自动冲突识别和分辨率来解除策划者的可行性方面。

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