A statistical framework for measuring the temporal stability of human mobility patterns
A statistical framework for measuring the temporal stability of human mobility patterns
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DOI：
10.1080/02664763.2019.1711363
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发表时间：
2020-01-15
影响因子：
1.5
通讯作者：
Dobra, Adrian
中科院分区：
文献类型：
--
作者：
Dong, Zhihang;Chen, Yen-Chi;Dobra, Adrian
尽管收集全球定位系统定位数据的人类流动研究日益普及，但目前的统计文献尚未解决确定全球定位系统监测所需最短时间的问题。在本文中，我们解决了这个问题，铺设了一个理论框架，用于评估基于GPS定位数据的人类移动的时间稳定性。我们定义了几个措施的时间动态的人类时空轨迹的平均速度过程的基础上，并在一个空间观察窗口中的活动分布。我们展示了使用我们的方法与数据，包括GPS定位的185个人在18个月的过程中。我们的实证结果表明，GPS监测应在一段时间内进行，这是显着比以前建议的更长。此外，我们认为，GPS研究设计应考虑到人口群体。
Despite the growing popularity of human mobility studies that collect GPS location data, the problem of determining the minimum required length of GPS monitoring has not been addressed in the current statistical literature. In this paper, we tackle this problem by laying out a theoretical framework for assessing the temporal stability of human mobility based on GPS location data. We define several measures of the temporal dynamics of human spatiotemporal trajectories based on the average velocity process, and on activity distributions in a spatial observation window. We demonstrate the use of our methods with data that comprise the GPS locations of 185 individuals over the course of 18 months. Our empirical results suggest that GPS monitoring should be performed over periods of time that are significantly longer than what has been previously suggested. Furthermore, we argue that GPS study designs should take into account demographic groups.