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Should we abandon activity type analysis? Redefining activities by their salient attributes

机译:我们应该放弃活动类型分析吗?通过活动的显着属性重新定义活动

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This paper poses a challenge and begins a search. The challenge is to reconsider the usefulness of traditional activity types ("work", "shopping", etc.) in the understanding and modelling of travel behaviour. The search is for the more salient attributes of activities that may serve to better explain complex travel behaviours—such as activity scheduling and tour formation. In particular, this paper focuses on explicit measures of the spatial, temporal and interpersonal flexibility of activities, along with several traditional attributes (frequency, duration, involved persons, travel time, and location). Data from a recent in-depth week-long activity scheduling survey was used to define and compare these attributes. Results show that considerable variability in the attributes between and within traditional activity groups is evident. This casts considerable uncertainty on assumptions that statically assign levels of spatial, temporal, and interpersonal flexibility to any given activity type. A Principal Components Analysis further revealed eight new distinct clusters of activities that share like attributes. The relative role of each attribute in each component is examined, and subjective interpretations emerged (e.g., "Long and frequent", "Space and time flexible" "Social networking"). The implications of these results for future model development and research are discussed. Future research should continue to expand the search for salient attributes and link them more directly to decision processes.
机译:本文提出了一个挑战,并开始进行搜索。面临的挑战是重新考虑传统活动类型(“工作”,“购物”等)在理解和建模旅行行为方面的用处。搜索的目的是寻找活动的更为突出的属性,这些属性可以用来更好地解释复杂的旅行行为,例如活动安排和旅行团组。特别是,本文重点关注活动的空间,时间和人际灵活性的显式度量,以及几种传统属性(频率,持续时间,涉及人员,出行时间和位置)。最近一次为期一周的深入活动调度调查得出的数据用于定义和比较这些属性。结果表明,传统活动组之间和内部的属性存在明显的差异。这给将静态的空间,时间和人际灵活性分配给任何给定活动类型的假设带来了很大的不确定性。主成分分析进一步揭示了八个共享相同属性的不同活动新集群。检查了每个属性在每个组件中的相对作用,并出现了主观的解释(例如,“长期频繁”,“时空灵活”,“社交网络”)。讨论了这些结果对未来模型开发和研究的影响。未来的研究应继续扩大对显着属性的搜索,并将它们更直接地链接到决策过程。

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