School of Economics and Management, Southwest Jiaotong University, Chengdu, 610031, China.
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, 610031, China.
Sci Rep. 2017 Jul 24;7(1):6249. doi: 10.1038/s41598-017-06508-1.
The regularity of human mobility has been extensively studied because of its prominent applications in a considerable number of important areas. Entropy, in addition to many other measures, has long been used to quantify the regularity of human mobility. We adopt the commonly used spatial entropy and develop an analogical temporal entropy to separately investigate the spatial and temporal regularities of human mobility. The underlying data are from an automated transit fare collection system operated by a metropolitan public transit authority in China. The distributions of both spatial and temporal entropies and their dependences on several widely used statistics are examined. The spatial and temporal entropies present a statistically significant correlation, which has not previously been reported to the best of our knowledge.
人类移动性的规律性已经得到了广泛的研究，因为它在许多重要领域都有突出的应用。除了许多其他度量之外，熵也长期以来一直被用于量化人类移动性的规律性。我们采用常用的空间熵，并开发了类似的时间熵，分别研究人类移动性的空间和时间规律性。基础数据来自中国一家大都市公共交通当局运营的自动交通票务收集系统。我们检查了空间熵和时间熵的分布及其对几个广泛使用的统计数据的依赖性。空间熵和时间熵之间存在显著的统计学相关性，这是我们所知的以前没有报道过的。
