Analysis of human mobility from GPS trajectories becomes crucial in many aspects such as policy planning for urban citizens, location-based service recommendation/prediction, and especially mitigating the spread of biological and mobile viruses. In this paper, we propose a method to find temporal factors affecting the human mobility lifestyle. We collected GPS data from 100 smartphone users in Japan. We designed a model that consists of 13 temporal patterns. We then applied a multiple linear regression and found that people tend to keep their mobility habits on Thursday and the days in the second week of a month but tend to lose their habits on Friday. We also explained some reasons behind these findings.

中文翻译：

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时间因素对基于 GPS 的人类移动生活方式的影响

从 GPS 轨迹分析人类移动性在许多方面变得至关重要，例如城市居民的政策规划、基于位置的服务推荐/预测，尤其是减轻生物和移动病毒的传播。在本文中，我们提出了一种寻找影响人类出行生活方式的时间因素的方法。我们收集了日本 100 名智能手机用户的 GPS 数据。我们设计了一个由 13 个时间模式组成的模型。然后我们应用多元线性回归，发现人们倾向于在周四和一个月的第二周保持他们的出行习惯，但在周五往往会失去他们的习惯。我们还解释了这些发现背后的一些原因。