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

2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC) Pub Date : 2016-11-01 DOI:10.1109/BESC.2016.7804481

Zhicheng Liu, Jinbin Yu, Weiting Xiong, Jian Lu, Junyan Yang, Qiao Wang

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引用次数: 8

Abstract

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.

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基于手机数据的上海市居家日常出行模式时空演化研究

本研究旨在探讨上海市以家庭为基础的日常流动模式。该数据集由上海市107100名匿名手机用户在不同季节9天的信令数据(DoS)组成，包含用户的时空信息。日常活动模式是个体日常活动轨迹的母题。用户的家是用先验知识来识别的。主题是从每个人的日常生活轨迹中提取出来的。通过这种方式，我们揭示了上海以家庭为基础的日常流动模式的时空演变。研究发现，工作日中环线封闭区内居家日常流动模式的空间分布向周末外环线封闭区内扩散;然而，在外环线外区域的居家日常流动模式的空间分布似乎不受工作日和周末的影响，并且比在外环线封闭区域内更为活跃。这些活跃区域包括新谷村大家园、新开家园等经济适用房社区。这一现象可能与上海不同地区的社会经济因素有关，值得进一步研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)

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