Identifying Region-wide Functions Using Urban Taxicab Trajectories
Identifying Region-wide Functions Using Urban Taxicab Trajectories
复制标题
使用城市出租车轨迹识别区域范围的功能
DOI：
10.1145/2821507
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发表时间：
2015
影响因子：
2
通讯作者：
Sang Oh Park
中科院分区：
文献类型：
--
作者：
Daqiang Zhang;Jiafu Wan;Zongjian He;Shengjie Zhao;Ke Fan;Sang Oh Park
随着城市的发展和扩大，各种区域，如居住区和行政区，现在出现的城市的一部分。每个区域的人员流动模式各不相同，这与整个区域的职能密切相关。在这篇文章中，我们提出了一个计划，发现区域范围内的功能，使用大规模的上海出租车轨迹，捕捉巨大的痕迹，超过13,000辆出租车在一段时间内约3年。我们调查这些出租车的轨迹，并进行了广泛的初步研究。然后，我们将城市分割成不连续的区域，使用Voronoi分解。通过将人们的上下车信息，我们完善的Voronoi分割结果，以确定区域范围内的功能区。最后，研究了各类城市功能区工作日和周末的人群活动频率。我们还研究了已确定的城市功能区域内或跨区域的人员流动性。实验结果表明，人的运动与城市功能区域有一定的界限，90%以上的人以较高的概率访问邻近（出行距离小于20 km）的功能区域。
With the urban development and enlargement, various regions such as residential zones and administrative districts now appear as parts of cities. People exhibit different mobility patterns in each region, which is closely relevant to region-wide functions. In this article, we propose a scheme to discover region-wide functions using large-scale Shanghai taxicab trajectories that capture enormous traces for more than 13,000 taxicabs over a period of about 3 years. We investigate these taxicab trajectories and conduct an extensive preliminary study. Then, we divide the city into disjointed regions using Voronoi decomposition. By incorporating people's pick-up and drop-off information, we refine the Voronoi partitioning results to identify region-wide functional areas. Finally, we study people's movement frequency on weekdays and weekends for every kind of urban functional regions. We also look into human mobility within or across the identified urban functional regions. Experimental results show that human movement is bounded with the function of urban regions, and more than 90% of people visit neighboring (less than 20km travel distance) functional regions with high probability.