Petri Giovanni, Expert Paul, Jensen Henrik J, Polak John W
ISI Foundation, Via Alassio 11/c, Turin, Italy.
Sci Rep. 2013;3:1798. doi: 10.1038/srep01798.
Understanding the relation between patterns of human mobility and the scaling of dynamical features of urban environments is a great importance for today's society. Although recent advancements have shed light on the characteristics of individual mobility, the role and importance of emerging human collective phenomena across time and space are still unclear. In this Article, we show by using two independent data-analysis techniques that the traffic in London is a combination of intertwined clusters, spanning the whole city and effectively behaving as a single correlated unit. This is due to algebraically decaying spatio-temporal correlations, that are akin to those shown by systems near a critical point. We describe these correlations in terms of Taylor's law for fluctuations and interpret them as the emerging result of an underlying spatial synchronisation. Finally, our results provide the first evidence for a large-scale spatial human system reaching a self-organized critical state.
理解人类移动模式与城市环境动态特征的尺度之间的关系对当今社会至关重要。尽管最近的进展揭示了个体移动的特征,但新兴人类集体现象在时空上的作用和重要性仍不明确。在本文中,我们通过使用两种独立的数据分析技术表明,伦敦的交通是由相互交织的集群组成的,这些集群遍布整个城市,并有效地表现为一个单一的相关单元。这是由于代数衰减的时空相关性,类似于临界点附近系统所表现出的相关性。我们根据波动的泰勒定律描述这些相关性,并将其解释为潜在空间同步的新兴结果。最后,我们的结果为大规模空间人类系统达到自组织临界状态提供了首个证据。