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Effects of Temporal Factors on Human Mobility Lifestyle Through GPS Information

机译:时间因素对通过GPS信息的人类流动性生活方式的影响

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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 mitigating biological and mobile viruses' spread. This paper proposes 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 with 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 for these findings.
机译:从GPS轨迹的人类流动分析在许多方面都至关重要,例如城市公民,基于位置的服务推荐/预测和减轻生物和移动病毒的蔓延的政策规划。本文提出了一种寻找影响人类流动性生活方式的时间因素的方法。我们从日本的100个智能手机用户收集了GPS数据。我们设计了一个具有13个时间模式的模型。然后,我们应用了多元线性回归,发现人们倾向于在周四和一个月的第二周的日子里保持流动性习惯,而是在周五失去习惯。我们还解释了这些发现的一些原因。

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