Generation and calibration of transit hyperpaths
Generation and calibration of transit hyperpaths
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DOI：
10.1016/j.trc.2013.06.014
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发表时间：
2013-06
影响因子：
8.3
通讯作者：
Jan-Dirk Schmöcker;Hiroshi Shimamoto;F. Kurauchi
中科院分区：
文献类型：
--
作者：
Jan-Dirk Schmöcker;Hiroshi Shimamoto;F. Kurauchi
本文介绍了一种新的离散选择模型，旨在描述公共交通乘客在车站的行为。我们假设乘客选择一组公共汽车，他们从第一个到达。这导致了一个嵌套的模型配方中的上层（选择集的形成）是基于效用最大化。从选择集中的特定公共汽车的较低级别选择由公共汽车到达的频率分布给出。我们进一步考虑超路径特性的选择集配方，这意味着一般的选择集的效用增加，由于减少的等待时间减少的进一步的选项。我们讨论了模型的属性，并将我们的模型应用到一些选定的OD对的巴士网络的一个地方城市在日本，我们可以观察到乘客的行为，由于智能卡数据的可用性。我们发现，一些乘客群体之间的选择集变化相当显着，并讨论了公交分配模型的影响。
This paper introduces a new discrete choice model aimed at describing behaviour of public transport passengers at stops. We assume that passengers choose a set of buses from which they take the first arriving. This leads to a nested model formulation in which the upper level (choice set formation) is based on utility maximization. The lower level choice of a specific bus from the choice set is given by the frequency distribution of the bus arrivals. We further consider hyperpath characteristics in the choice set formulation which means that the utility of the choice set in general increases with the addition of further options due to a reduction in the reduced waiting time. We discuss model properties and apply our model to some selected OD pairs of the bus network of a local city in Japan where we could observe passenger behaviour due to the availability of smart card data. We find that choice sets vary fairly significantly between some passenger groups and discuss implications for transit assignment models.