Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow
Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow
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DOI：
10.1109/tits.2015.2498187
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发表时间：
2016-09
影响因子：
8.5
通讯作者：
Yuxin Ma;Tao Lin;Z. Cao;Chen Li-;Fei Wang;Wei Chen
中科院分区：
文献类型：
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作者：
Yuxin Ma;Tao Lin;Z. Cao;Chen Li-;Fei Wang;Wei Chen
研究城市范围内的人类运动对于理解流动性和交通模式非常重要。而不是调查个人的轨迹，我们采用欧拉的方法来分析人群流动之间的地理网络和社会网络，这是从移动的手机数据中提取。我们设计了一套可视化技术来说明网络流量的动态演变。我们贡献了一个可视化分析系统，这是所谓的流动查看器的设计和实现，支持情境感知的理解和可视化推理的人的流动。我们在两个月内用一个真实的全市700万用户的数据集来验证我们的方法。
Studying human movement citywide is important for understanding mobility and transportation patterns. Rather than investigating the trajectories of individuals, we employ an Eulerian approach to analyze the crowd flows among a geographical network and a social network, which are extracted from mobile phone data. We design a suite of visualization techniques to illustrate the dynamic evolutions of the flow over the networks. We contribute the design and implementation of a visual analytics system, which is called Mobility Viewer, that supports situation-aware understanding and visual reasoning of human mobility. We exemplify our approach with a real citywide data set of seven million users in two months.