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A JOINT MODEL OF PARTICIPATION IN NON-WORK ACTIVITIES AND TIME-OF-DAY CHOICE SET FORMATION FOR WORKERS

机译:参加非工作活动的联合模型和工时选择集的形成

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Non-work activity and travel participation is an important component of overall travel demandthat is complex to model as the greater degrees of flexibility associated with such travel induceslarger variability and randomness in this behavior. This paper aims to offer a framework formodeling the participation in and travel mileage allocated to non-work activities during varioustime periods of the day for workers. Five time-of-day blocks are defined for workers based onthe period of the day in relation to the work schedule. Individuals can choose to pursue non-workactivities in one or multiple time blocks and travel miles to accomplish the activities. A multiplediscrete-continuous extreme value (MCDEV) modeling approach is employed to model thisphenomenon. A unique element of the paper is the addition of a latent choice set generationmodel as a first component in the model system. This choice set generation model can be usedto determine the set of time-of-day periods that each individual will consider for the pursuit ofnon-work activities, while recognizing the fact that the consideration choice set is not explicitlyobserved (and is therefore latent) by the analyst. Thus, the model system presented in this paperis capable of modeling non-work activity engagement and associated travel mileage by time-of16day period while incorporating varying choice sets across individuals. The two-componentmodel system is applied to a survey sample drawn from the San Francisco area of the UnitedStates, and shown to perform substantially better than a pure MDCEV model that assumes aconstant choice set across the sample.
机译:非工作活动和旅行参与是总体旅行需求的重要组成部分 由于与这种旅行相关的更大程度的灵活性,因此建模起来很复杂 这种行为具有更大的可变性和随机性。本文旨在为以下方面提供一个框架 模拟各种工作期间非工作活动的参与程度和分配的旅行里程 工人一天中的时间段。根据以下内容为工人定义了五个时段 与工作时间表有关的一天的时间段。个人可以选择不工作 一个或多个时间段内的活动和行驶里程来完成活动。倍数 离散连续极值(MCDEV)建模方法用于对此建模 现象。本文的独特之处在于增加了潜在选择集生成 模型作为模型系统中的第一个组件。可以使用此选择集生成模型 确定每个人在追求某段时间时将考虑的一组时间段 非工作活动,同时认识到对价选择集未明确列出的事实 观察者观察到的(因此是潜在的)。因此,本文提出的模型系统 能够在16时之前对非工作活动参与度和相关旅行里程进行建模 一天的时间段,同时纳入各个人的不同选择集。两部分 模型系统应用于从美国旧金山地区提取的调查样本 状态,并且表现出比假设MDCEV模型的纯MDCEV模型更好的性能 在整个样本中设置不变的选择。

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