Multi-day activity scheduling reactions to planned activities and future events in a dynamic model of activity-travel behavior
Multi-day activity scheduling reactions to planned activities and future events in a dynamic model of activity-travel behavior
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DOI：
10.1007/s10109-013-0187-2
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发表时间：
2014
影响因子：
2.9
通讯作者：
L. Nijland;T. Arentze;H. Timmermans
中科院分区：
文献类型：
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作者：
L. Nijland;T. Arentze;H. Timmermans
在基于活动的交通需求建模中，多日规划的建模一直缺乏关注。然而，目前正在制定新的动态的基于活动的方法。个人活动日程中计划活动和事件的频率和可执行性表明将这些预先计划的活动纳入新一代动态出行需求模型的重要性。阐述和结合以前的工作事件驱动的活动生成，本文的目的是开发和说明扩展的基于需求的活动生成模型，考虑到预先计划的活动和事件的可能影响。本文介绍了理论，并显示了扩展的模拟结果。对六种不同的活动进行了模拟，使用的参数值与先前的估计研究一致。结果表明，该模型运行良好，各参数的影响具有一致性、逻辑性和解释性。这些研究结果提供了进一步的证据，面子和结构效度的建议建模方法。
Modeling multi-day planning has received scarce attention in activity-based transport demand modeling so far. However, new dynamic activity-based approaches are being developed at the current moment. The frequency and inflexibility of planned activities and events in activity schedules of individuals indicate the importance of incorporating those pre-planned activities in the new generation of dynamic travel demand models. Elaborating and combining previous work on event-driven activity generation, the aim of this paper is to develop and illustrate an extension of a need-based model of activity generation that takes into account possible influences of pre-planned activities and events. This paper describes the theory and shows the results of simulations of the extension. The simulation was conducted for six different activities, and the parameter values used were consistent with an earlier estimation study. The results show that the model works well and that the influences of the parameters are consistent, logical, and have clear interpretations. These findings offer further evidence of face and construct validity to the suggested modeling approach.