The scaling of human mobility by taxis is exponential
The scaling of human mobility by taxis is exponential
复制标题
DOI：
10.1016/j.physa.2011.11.035
复制
发表时间：
2012-03-01
影响因子：
3.3
通讯作者：
Xu, Ke
中科院分区：
文献类型：
--
作者：
Liang, Xiao;Zheng, Xudong;Xu, Ke
人类流动模式建模作为城市规划、交通预测和流行病预测的重要因素，几十年来一直受到研究人员的密切关注。幂律分布及其变化是从相当多的现实世界的人类移动数据集中观察到的，如钞票的移动，手机用户的位置跟踪和车辆的轨迹。在本文中，我们从北京的1万多辆出租车中收集了2000万条细粒度的轨迹，建立了模型。与人类移动数据中观察到的大多数模型相反，出租车在城市地区的移动位移倾向于遵循指数分布，而不是幂律。同样，经过的时间也可以用指数分布很好地近似。值得一提的是，对事件间时间的分析表明，与许多其他人类活动类似，人类流动性具有突发性。(C) 2011 Elsevier B.V.版权所有
As a significant factor in urban planning, traffic forecasting and prediction of epidemics, modeling patterns of human mobility draws intensive attention from researchers for decades. Power-law distribution and its variations are observed from quite a few real-world human mobility datasets such as the movements of banking notes, trackings of cell phone users locations and trajectories of vehicles. In this paper, we build models for 20 million trajectories with fine granularity collected from more than 10 thousand taxis in Beijing. In contrast to most models observed in human mobility data, the taxis' traveling displacements in urban areas tend to follow an exponential distribution instead of a power-law. Similarly, the elapsed time can also be well approximated by an exponential distribution. Worth mentioning, analysis of the interevent time indicates the bursty nature of human mobility, similar to many other human activities. (C) 2011 Elsevier B.V. All rights reserved.