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Using mobile phone data to study dynamics of rural-urban mobility

机译:使用手机数据研究城乡流动的动态

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Understanding the dynamics of human mobility is important for addressing challenges caused by phenomena that rely on mobility, such as infectious disease transmission. Although various data sources exist for modeling human mobility, most current sources face challenges of resolution, cost, scalability, and privacy. We used population-based mobile phone communication data to study the dynamics of rural-urban mobility. We have proposed a measure of popularity, which we used to identify the most and the least popular urban areas for rural-urban movement. The concept of hierarchical population mobility is also suggested that can be used to derive a high-level visualization of spatial population movement patterns. The results from our experiments are quite promising.
机译:了解人类迁徙的动态对于应对由依赖迁徙的现象(例如传染病传播)引起的挑战非常重要。尽管存在用于建模人类流动性的各种数据源,但是大多数当前数据源都面临着分辨率,成本,可伸缩性和隐私性方面的挑战。我们使用了基于人口的手机通信数据来研究城乡流动的动态。我们提出了一种流行程度的度量标准,该度量标准用于确定最受城市和农村人口欢迎的城市地区。还提出了层次人口流动性的概念,该概念可用于导出空间人口移动模式的高级可视化。我们的实验结果很有希望。

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