A multi-instrumented approach to observing the activity rescheduling decision process

A multi-instrumented approach to observing the activity rescheduling decision process
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DOI:
10.1007/s11116-009-9225-9
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发表时间:
2010
期刊:
影响因子:
4.3
通讯作者:
A. Clark;S. Doherty
A. Clark;S. Doherty
中科院分区:
工程技术2区
文献类型:
--
作者:
A. Clark;S. Doherty

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活动调度模拟模型是一种新兴的交通需求预测方法。最重要的发展挑战是缺乏关于人们实际上如何进行日程安排和冲突解决过程的经验数据。本文提出了一种新的方法来收集数据的重新调度决策过程。数据收集涉及六个阶段:预先计划的时间表采访,编码的预先计划的时间表,每秒的全球定位系统跟踪,基于互联网的提示召回日记,检测重新安排的决定(通过比较计划与执行的活动),和最后的深入采访,探讨如何和为什么重新安排的决定。该方法的每个阶段都详细描述了从试点研究中得出的示例结果。主要发现包括:启发多种预先计划的进度报告方法(口头,点形式,日历);发现活动属性(时间,地点,涉及人员)计划在显著不同的时间范围,包括部分阐述;并提供新的见解如何和为什么重新安排决策。还发现了一种自动跟踪重新调度决策的方法。总体而言,新的方法有可能有助于整个调度过程,特别是重新安排和冲突解决子模型的更现实的模型的发展。
Activity scheduling simulation models represent an emerging and proposing approach to forecasting travel demand. The most significant developmental challenge is the lack of empirical data on how people actually proceed through the scheduling and conflict resolution process. This paper develops a new methodology to collect data about the rescheduling decision process. The data collection involves six stages: preplanned schedule interview, coding of the preplanned schedule, second-by-second Global Positioning System tracking, internet-based prompted recall diary, detection of rescheduling decisions (via comparison of planned versus executed activities), and a final in-depth interview probing the how and why of rescheduling decisions. Each stage of the methodology is described in detail with example results drawn from a pilot study. Key discoveries include: elicitation of multiple preplanned schedule reporting methods (verbal, point-form, calendar); discovery that activity attributes (time, location, involved persons) are planned on significantly different time horizons and include partial elaboration; and provision of new insights into how and why rescheduling decisions are made. A method for automatically tracking rescheduling decisions was also discovered. Overall, the new methodology has potential to contribute to the development of more realistic models of the entire scheduling process, especially rescheduling and conflict resolution sub-models.