Incorporating planned activities and events in a dynamic multi-day activity agenda generator
Incorporating planned activities and events in a dynamic multi-day activity agenda generator
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将计划的活动和事件纳入动态的多日活动议程生成器中
DOI：
10.1007/s11116-012-9402-0
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
H. Timmermans
中科院分区：
文献类型：
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作者：
L. Nijland;T. Arentze;H. Timmermans
日常议程形成的影响，正式的承诺，满足需求超过一定的门槛，并希望进行特定的活动，在预期的社会和宗教驱动的事件，如生日，圣诞节等作为研究计划的一部分，发展一个动态的基于活动的模型的运输需求，本文提出了一个模型来表示动态议程的形成，包括这些不同的基本过程。该模型的贝叶斯估计是基于通过对大约300名受访者的抽样进行基于网络的调查收集的数据。该调查使用了为期一天的活动日记的扩展，要求受访者回顾活动并确定前景中的计划活动。估计结果表明，计划中的活动影响议程的形成一般，但其意义和规模取决于活动类型，社会人口和居住特点。
Daily agenda formation is influenced by formal commitments, satisfaction of needs surpassing some threshold and the desire to conduct particular activities in anticipation of socially and religiously driven events such as birthdays, Christmas, etc. As part of a research program to develop a dynamic activity-based model of transport demand, this paper proposes a model to represent dynamic agenda formation, including these different underlying processes. Bayesian estimation of the model is based on data collected through a Web-based survey for a sample of approximately 300 respondents. The survey uses an extension of a 1-day activity diary where respondents are asked to recall activities in retrospect and to identify planned activities in prospect. Estimation results suggest that planned activities influence agenda formation in general, but that their significance and size depends on activity type, socio-demographics and dwelling characteristics.