Activity spaces characterise an individual's mobility patterns and provide critical insights important to a broad suite of applications. Emergent forms of disaggregate space-time data offer new opportunities to exploit a more granular approach to measuring and visualising activity spaces. Drawing on individual GPS trajectories for 365 participants covering a seven-day period the current paper presents a new measurement and visualisation framework examining the directionality of mobility patterns. This framework moves beyond existing work that measures activity spaces via a simple geometric shape (traditionally a convex hull) to introduce a new metric and associated visual analytic capturing a new dimension of the concept. Results have important consequences for policy and planning, with the hope that the framework can be redeployed across various situational and cultural contexts, leading to the creation of an expanding collection of comparative studies.

中文翻译：

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检查活动空间中移动模式的方向性：引入“移动雪花”视觉分析和测量框架

活动空间表征了个人的移动模式，并提供了对广泛的应用程序非常重要的关键见解。新兴形式的分解时空数据为利用更精细的方法来测量和可视化活动空间提供了新的机会。本文利用 365 名参与者在 7 天时间内的个人 GPS 轨迹，提出了一种新的测量和可视化框架，用于检查移动模式的方向性。该框架超越了通过简单的几何形状（传统上是凸包）测量活动空间的现有工作，引入了新的度量和相关的视觉分析，捕获了概念的新维度。结果对政策和规划产生重要影响，希望该框架能够在不同的情境和文化背景下重新部署，从而创建不断扩大的比较研究集。