Impacts of a public transport supply on passengers and operators

公共交通供应对乘客和运营商的影响

• 批准号: 260577608
• 负责人: Professor Dr.-Ing. Markus Friedrich
• 金额: --
• 依托单位: Lehrstuhl für Verkehrsplanung und Verkehrsleittechnik
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/260577608?language=en
• 关键词: Impacts; public; transport; supply; passengers

This subproject aims at developing and applying methods, which support planners in the design of a public transport supply. To achieve this, manmade and algorithmic solutions for test instances (demonstrators) are created and compared. The methods for travel demand modelling and mathematical supply optimisation, which were developed and tested in the first project phase, are extended in the second project phase in such a way that they consider additional requirements coming from a spatial and temporal resolution of supply and demand. The following steps are carried out for this purpose:(1) Modelling of departure time choice, stop choice and capacity constraints in public transport assignment models.(2) Formalisation of typical procedures applied in public transport planning and integration of these procedures in the mathematical optimisation methods.(3) Evaluation of temporal availability, spatial accessibility and capacity violations for the comparison of manmade and algorithmic solutions.Based on the expectation that Mobility-as-a-Service (MaaS) in combination with automated vehicles can offer people attractive travel alternatives, public ridesharing systems will also be examined in the second project phase. MaaS can jeopardize or complement public transport. Based on previous findings, the research proposal assumes that traffic in urban regions will not function without high-capacity means of mass transport. However, mass transport may be supplemented by flexible ridesharing systems. Therefore, the importance of periodic timetables and the limitations of public ridesharing systems are examined.

这个分项目旨在制定和应用各种方法，支持规划人员设计公共交通供应。为了实现这一点，人造和算法的解决方案的测试实例（示威者）创建和比较。在项目第一阶段开发和测试的旅行需求建模和数学供应优化方法在项目第二阶段得到扩展，其方式是考虑到来自供求空间和时间分辨率的额外要求。本文的主要工作如下：（1）建立了公交配流模型中的发车时间选择、站点选择和容量约束模型。(2)公共交通规划中应用的典型程序的形式化，以及这些程序在数学优化方法中的整合。(3)评估时间可用性、空间可达性和容量违规，以比较人工和算法解决方案。基于移动即服务（MaaS）与自动驾驶汽车相结合可以为人们提供有吸引力的出行选择的期望，公共乘车系统也将在项目第二阶段进行研究。MaaS可能会危及或补充公共交通。根据以前的研究结果，研究建议假设，如果没有高容量的大众交通工具，城市地区的交通将无法正常运行。然而，公共交通可以通过灵活的拼车系统来补充。因此，定期时间表的重要性和公共共乘系统的局限性进行了研究。