论文标题
使用地理空间迁移率的代表性特征（REFGEM）区分人口空间行为（REFGEM）
Differentiating Population Spatial Behavior using Representative Features of Geospatial Mobility (ReFGeM)
论文作者
论文摘要
通过观察或对照研究比较分层组，了解人类如何使用和消耗空间，这是设计更好的空间，城市和策略的关键。 GPS数据迹线提供了个体的详细运动模式，但由于收集的数据的规模和范围，可能难以解释。对于可行的见解，GPS痕迹通常会缩小为一个或多个表达感兴趣的空间现象的特征。但是，并不总是清楚应采用哪些空间功能，并且可以将大量努力投入到设计可能会或可能不会提供洞察力的功能上。在本文中，我们提出了一种替代方法：标准化功能集，具有可操作的解释，可以在许多数据集中有效运行。我们表明，这些特征可以区分不同的人类移动模式，尽管没有一个功能可以单独区分它们。
Understanding how humans use and consume space by comparing stratified groups, either through observation or controlled study, is key to designing better spaces, cities, and policies. GPS data traces provide detailed movement patterns of individuals but can be difficult to interpret due to the scale and scope of the data collected. For actionable insights, GPS traces are usually reduced to one or more features which express the spatial phenomenon of interest. However, it is not always clear which spatial features should be employed, and substantial effort can be invested into designing features which may or may not provide insight. In this paper we present an alternative approach: a standardized feature set with actionable interpretations that can be efficiently run against many datasets. We show that these features can distinguish between disparate human mobility patterns, although no single feature can distinguish them alone.
