Measuring and Modeling Multimodal Mode Use in the Longitudinal Section
Measuring and Modeling Multimodal Mode Use in the Longitudinal Section
复制标题
纵向截面中多模态使用的测量和建模
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
T. Kuhnimhof
中科院分区：
文献类型：
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作者：
T. Kuhnimhof
本文提出了一种纵向截面建模模式选择方法，该方法是在多日多主体出行行为模型的背景下开发的。纵向模式选择模型的挑战是真实再现各个模式选择随时间的变化和稳定性。这很重要，因为模式选择取决于个人模式偏好和例程。作者使用模式变化指数 MIX 量化了德国交通专家组 MOP 的 7 天旅行日记中的模式变化。作者还在个人每周活动报告中确定了与习惯模式使用相关的例程。在此分析的基础上，作者在所提出的模式选择模型中的效用函数中添加了一些元素，其中考虑了个人之前的模式使用情况。这些附加元素在估计模型时非常重要，因此有助于在建模较长时间段时重现单个模式使用的稳定性。最后，作者提出了这种纵向模式选择模型的应用。它在德国一个中等城市的旅行行为的为期 7 天的多智能体模拟中取得了令人鼓舞的结果。
The paper presents an approach of modeling mode choice in the longitudinal section which was developed in the context of a multiday multi agent model of travel behavior. The challenge of a longitudinal mode choice model is the realistic reproduction of variability and stability of individual mode choice over time. This is important because mode choice is subject to individual mode preferences and routines. Using the mode variation index MIX the authors quantified mode variation in the seven-day trip diaries of the German Mobility Panel MOP. The authors also identified routines in individual weekly mobility reports that are associated with habitual mode use. Building on this analysis, the authors added elements to the utility function in the presented mode choice model that take the previous mode use of the individual into account. These additional elements are significant when estimating the model and hence contribute to reproducing stability in individual mode use when modeling longer periods of time. Finally, the authors present an application of this longitudinal mode choice model. It was employed which encouraging results in a seven-day multi agent simulation of travel behavior in a medium sized German city.