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Exploring trade-offs in frequency allocation in a transit network using bus route patterns: Methodology and application to large-scale urban systems

机译:使用公交路线模式探索公交网络中频率分配的权衡:方法论和在大规模城市系统中的应用

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Transit agencies seek to allocate their limited operational budget and fleet optimally to service routes in order to maximize user benefits. The Transit Network Frequency Setting Problem formulation developed in this study effectively captures the coupling between the routes and their prevailing patterns, which may have different subsets of stops visited at different times of the day. The number of riders is elastic to the prevailing number of bus trips at a given stop, which is the combination of different pattern dispatch frequencies. As a result, the study bridges the gap between the operator's perspective where the decision unit is the pattern schedule, and the user's perspective, which perceives frequencies at the route level. Two main formulations are introduced. The first one maximizes the number of riders and the total waiting time savings under budget, fleet, policy headway and bus loading constraints; the second minimizes the net cost under fleet, policy headway, bus loading, minimum ridership and minimum waiting time savings constraints. In both formulations, pattern headways are the decision variables. Spatial and temporal heterogeneity of ridership elasticity with respect to headway is captured. The formulations are applied to a large-scale test network for the Chicago area. The results show that a win-win solution is possible where both ridership and waiting time savings are increased, while the net cost is decreased. (C) 2015 Elsevier Ltd. All rights reserved.
机译:运输机构寻求将有限的运营预算和机队最佳地分配给服务路线,以最大程度地提高用户利益。在这项研究中开发的“公交网络频率设置问题”公式有效地捕获了路线及其主要模式之间的耦合,这些模式可能在一天的不同时间访问了不同的站点。在给定的站点上,车手的数量与主要的公交行程数量是弹性的,这是不同模式分配频率的组合。结果,该研究弥合了运营商的视角(决策单位是模式调度)与用户的视角之间的鸿沟,后者从感知路线级别上的频率。介绍了两个主要公式。第一个是在预算,车队,政策进展和公交车装载限制条件下,最大限度地增加乘客数量和总等待时间;第二种方法将车队,政策进展,公交车装载,最小乘车人数和最小等待时间节省约束下的净成本降至最低。在这两种公式中,模式前进都是决策变量。记录了骑行弹性相对于时空的时空异质性。该配方被应用于芝加哥地区的大规模测试网络。结果表明,双赢的解决方案是可能的,这既可以增加乘客量和等待时间,又可以降低净成本。 (C)2015 Elsevier Ltd.保留所有权利。

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