Large-scale taxi O/D visual analytics for understanding metropolitan human movement patterns
Large-scale taxi O/D visual analytics for understanding metropolitan human movement patterns
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DOI：
10.1007/s12650-015-0278-x
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发表时间：
2015-05-01
影响因子：
1.7
通讯作者：
Liang, Ronghua
中科院分区：
文献类型：
--
作者：
Jiang, Xiaorui;Zheng, Chunyi;Liang, Ronghua
了解大都市的人类移动模式对于更好的城市规划和交通管理非常有用。出租车O/D数据作为探寻城市脉搏和人员流动规律最便捷、覆盖范围最广的数据源，越来越受到道路交通管理部门的重视。在本文中，我们设计了一个大型出租车 O/D 数据的可视化分析系统，以帮助理解人类流动的时空模式。系统首先通过O/D分布的全局热图视图帮助用户确定感兴趣的区域以进行进一步研究；对由套索或矩形区域选择工具选择的待分析区域的O/D数据的时空模式进行可视化编码；并通过多个协调可视化视图（包括圆形像素图、时空堆叠图和嵌套像素条）之间的交互，对出租车 O/D 数据的潜在时空模式进行多维分析。所提出的出租车 O/D 数据可视化分析系统在应用于杭州大规模真实出租车 GPS 数据时，得到了有关都市居民运动行为的有趣发现，并得到了良好的用户反馈。
It is very useful to understand metropolitan human movement patterns for better city planning and traffic management. As the most accessible and wide-coverage data source for probing the laws behind city pulse and human movement, taxi O/D data have been receiving more and more attention from road traffic administration offices. In this paper, we design a visual analysis system for big taxis O/D data for assisting understanding the spatio-temporal patterns of human mobility. The system first helps users determine the regions of interest for further investigation by the global heat map view of O/D distributions; visually encodes the spatio-temporal patterns of the O/D data of the to-be-analyzed regions chosen by lasso or rectangle region selection tools; and provides a multi-dimensidoneonal analysis of the latent spatio-temporal patterns of taxis O/D data through interactions between multiple coordinated views of visualizations including circular pixel graph, spatio-temporal stacked graph and nested pixel bar. The proposed system of taxis O/D data visual analysis gets interesting findings about the metropolitan residents' movement behavior when applied to large-scale real taxis GPS data in Hangzhou and receives good user feedbacks.