A comparative analysis of intra-city human mobility by taxi

A comparative analysis of intra-city human mobility by taxi
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城市内出租车人员流动比较分析

DOI:
10.1016/j.physa.2014.10.085
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发表时间:
2015-02
期刊:
Physica A: Statistical Mechanics and its Applications
影响因子:
--
通讯作者:
Wenjun Wang, Lin Pan, Ning Yuan, Sen Zhang, Dong
Wenjun Wang, Lin Pan, Ning Yuan, Sen Zhang, Dong
中科院分区:
其他
文献类型:
--
作者:
Wenjun Wang, Lin Pan, Ning Yuan, Sen Zhang, Dong

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对人类运动行为的定量理解将为许多社会经济现象的机制提供有益的见解。本文通过分析两个国家五个大城市的出租车轨迹数据,探讨了人类的流动模式。我们关注每个数据集的三个统计数据:每次被占用行程的位移,每次被占用行程的持续时间,以及同一辆出租车连续被占用行程之间的时间间隔(事件间时间)。结果表明:在两个位移范围内,人类乘出租车出行的位移分布倾向于服从指数规律,而不是幂规律;行程时间分布可近似为对数正态分布;事件间时间分布可以用对数正态体后跟幂律尾来很好地表征。对于每一项考虑的指标,所有城市的重新调整后的分布都坍塌成一条主曲线。这些结果为支持城市内部人员流动的共同规律提供了实证证据。此外,我们表明机场位置可以在解释某些城市出租车出行位移分布的峰值中发挥作用。
Quantitative understanding of human movement behaviors would provide helpful insights into the mechanisms of many socioeconomic phenomena. In this paper, we investigate human mobility patterns through analyzing taxi-trace datasets collected from five metropolitan cities in two countries. We focus on three statistics for each dataset: the displacement of each occupied trip, the duration of each occupied trip, and the time interval between successive occupied trips by the same taxi (interevent time). The results indicate that the displacement distributions of human travel by taxi tend to follow exponential laws in two displacement ranges rather than power laws; the trip duration distributions can be approximated by log-normal distributions; the interevent time distributions can be well characterized by log-normal bodies followed by power law tails. For each considered measure, the rescaled distributions of all cities collapsed into a master curve. These results provide empirical evidence supporting the common regularity of intra-city human mobility. Moreover, we show that airport locations could play a role in explaining the spikes of displacement distributions of taxi trips in certain cities.
个人流动模式的多样性和聚合缩放法则的出现
DOI: 10.1038/srep02678
发表时间: 2013
期刊: SCIENTIFIC REPORTS
影响因子: 4.6
作者:
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影响因子: 3.7
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