Analysis of China's Urban Network Structure from the Perspective of “Streaming”

Abstract

The urban network is an extension and improvement of the study of the traditional urban and regional spatial structure. It is one of the hot topics in the study of urban geography. Based on the Tencent LBSN data to build a city network, this paper uses the centrality and influence indicators to rank the importance and influence of the nodes of the Chinese urban network according to the complex network theory, and then integrates the methods of community detection and other methods to analyze the characteristics of the urban network in China during the transition period. The research shows that: $\bigcirc\!\!\!\!1$. The eigenvector centrality and PageRank take into account the number and quality of neighbor nodes at the same time. It can identify the important city nodes more effectively, and the identified urban network accords with Pareto law. $\bigcirc\!\!\!\!\!2$. The four major urban agglomerations of the Beijing-Tianjin-Hebei region, the Yangtze River Delta, the Pearl River Delta and Chengdu-Chongqing have a clear network structure. The national urbanization development strategy and important transportation facilities have a directional effect on the urban network. $\bigcirc\!\!\!\!\!3$. The urban network structure conforms to the “Hu Huanyong Line” law. However, the networks of the Guanzhong city group, the Lanzhou-Xining city group, the Hubao Egu city group, and the urban slopes of the northern slope of the Tianshan Mountains centered on U rumqi began to appear. Important infrastructure construction such as the “Lanxin Line” and the “Belt and Road” strategy have become potential forces for guiding the urban system to break through the “Hu Huanyong Line”. 4Central cities in Central China, Fujian Province, and Northeast China have a low level of network development and do not match the regional functions undertaken. Central cities in Central China, Fujian Province, and Northeast China have a low level of network development and do not match the regional functions undertaken. $\bigcirc\!\!\!\!\!5$. The phenomenon of excessive monopoly in the Pearl River Delta urban agglomeration should be given attention, and the links between key node cities and surrounding cities should be strengthened to ease the pressure on the core cities. Overall, LBSN data can effectively reveal the characteristics of China's urban network structure during the transition period, and improve effective case support for regional coordinated development, transportation system planning and construction.