With the increase of urban population and the expansion of urban scale, understanding the urban structure could provide intellectual support for urban planning, traffic congestion, and even the spread of diseases. Little research has addressed the relationship between urban structure and human mobility. In this study, the community division method is applied to the itinerary network generated by taxi trajectory data, and the itinerary network is divided into several modules (called urban mobility communities). Our results suggest that the urban mobility community has different associated characteristics with travel distance and administrative area. When the travel distance increases, many adjacent communities gradually merge into large ones in the central area, while the communities remain similar in the suburban area. Moreover, we observed some communities around some pivotal roads are distributed as ribbons. The quantitative analysis of community division results demonstrates a phase transition between urban mobility community and travel distance. In particular, inspired by heterogeneous travel distance distribution and community boundary restrictions, we first construct a model that reflects the non-trivial relationship between urban mobility community and travel distance and reveals the phase transition between them. Our study represents the first attempt to prove that human mobility and urban structure can be reflected by each other.

随着城市人口的增加和城市规模的扩大，对城市结构的了解可以为城市规划，交通拥堵甚至疾病的传播提供智力支持。很少有研究解决城市结构与人口流动之间的关系。在这项研究中，将社区划分方法应用于滑行轨迹数据生成的行程网络，并将行程网络分为几个模块（称为城市流动性社区）。我们的结果表明，城市出行社区与出行距离和行政区域具有不同的相关特征。当旅行距离增加时，许多相邻社区逐渐在中心区域合并为大型社区，而在郊区则保持相似。此外，我们观察到一些关键道路周围的一些社区呈丝带状分布。社区划分结果的定量分析表明，城市流动性社区与出行距离之间存在相变。特别是，在异类的出行距离分布和社区边界限制的启发下，我们首先构建了一个模型，该模型反映了城市出行社区与出行距离之间的非平凡关系，并揭示了两者之间的相变。