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Using mobile phone data to explore spatial-temporal evolution of home-based daily mobility patterns in Shanghai

机译:使用手机数据探讨上海家庭日常流动模式的空间时间演变

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This paper aims at investigating home-based daily mobility patterns in Shanghai. The dataset consists of Data over Signaling (DoS) from 107,100 anonymous mobile phone subscribers in Shanghai over 9 days in different seasons, which contains spatial-temporal information of subscribers. Daily mobility pattern is characterized as motif of the individual's daily trajectory in this paper. Homes of subscribers are recognized with a priori knowledge. Motifs are extracted from each individuals' daily trajectories. In this way, we have revealed the spatial-temporal evolution of home-based daily mobility patterns in Shanghai. We find that the spatial distribution of home-based daily mobility patterns inside the enclosed area of Middle Ring Road in weekdays diffuses to the enclosed area of Outer Ring Road in weekends. However, the spatial distribution of home-based daily mobility patterns in the areas outside Outer Ring Road seems to be invariant to weekdays and weekends and is more active than that inside the enclosed area of Outer Ring Road. These active areas include affordable housing communities, such as New Gucun Big Homeland and Xinkai Homeland. The phenomenon presented in this paper may correlate with socioeconomic factors in different regions of Shanghai and worth further investigation.
机译:本文旨在调查上海的家庭日常流动模式。 DataSet由来自上海107,100匿名移动电话用户的信令(DOS)的数据组成,在不同季节的9天内,其中包含用户的空间信息。每日移动模式的特征在于本文中个人日常轨迹的主题。用户的家园以先验的知识认可。主题是从每个人的每日轨迹中提取的。通过这种方式,我们揭示了上海家庭日常行动模式的空间演变。我们发现,在平日的中间环路中封闭区域内的家庭日常移动模式的空间分布扩散到周末外环道的封闭区域。然而,以家庭为基础的每日流动模式在外环线以外的区域的空间分布似乎是不变的工作日和周末,是比的外环路封闭区域内更加活跃。这些活跃区域包括经济实惠的住房社区,例如新的古村大家庭和Xinkai家园。本文提出的现象与上海不同地区的社会经济因素有关,值得进一步调查。

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