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Study on Job-Housing Distribution and Human Activity Space Based on Mobile Phone Data

机译:基于手机数据的住房分配与人类活动空间研究

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This paper identifies traffic zone division and location of users' residence and work place in Songjiang District of Shanghai City based on mobile phone data, which can be used to analyze residents' commuting characteristics. Then, we proposed a novel way to discuss human activity space by means of anchor point theory. Classifying the important arrest points as anchor points helps locating the important points of residence in the living space as an anchor point. This paper described human activity space by convex polygons whose size represent the spatial range, length-width ratio represents the ductility. Meanwhile, we found that the size obeys an exponential distribution. This conclusion has very important practical application value for traffic and urban planning.
机译:本文基于手机数据,确定了上海市松江区的交通区划和用户住所及工作地点的位置,可用于分析居民的通勤特征。然后,我们提出了一种利用锚点理论讨论人类活动空间的新方法。将重要的逮捕点分类为锚点有助于将居住空间中的重要点定位为锚点。本文用凸多边形描述人类活动空间,凸多边形的大小代表空间范围,长宽比代表延展性。同时,我们发现大小服从指数分布。该结论对交通和城市规划具有非常重要的实际应用价值。

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