关键词: 城市群, 城际人员流动, 流动性, 城市群安全, 大数据

Abstract:

This paper explored the characteristics of intercity human mobility and the 'negative effects' of massive intercity population movement in China by using mobile internet positioning big data. Two travel periods of Baidu Migration data were selected involving Spring Festival and usual travel time. Based on two mobility indicators, i.e., movement scale and movement scope, the spatial characteristics of intercity population movement were measured by local spatial autocorrelation. With a vital public health emergency, linear regression models were used to measure the differences in the negative effects of the national intercity population movement on different cities and urban agglomerations in China. It is found that three major urban agglomerations, namely, the Yangtze River Delta, the Pearl River Delta, and Beijing-Tianjin-Hebei, are the most significant high-value clustering area of mobility in China. Urban agglomerations and megacities are accompanied by higher risks of negative effects for their super mobility. First, the megacity-centered urban agglomeration will have a more significant negative consequence when it is affected by the negative effects of intercity mobility. Second, the megacity-centered urban agglomeration will significantly spread the negative effects through intercity mobility. It is proposed that the security of urban agglomeration should firstly guarantee the security of mobility. The security of urban agglomerations should be reflected in the resilience of intercity mobility networks. In the process of new urbanization, the development strategy of urban agglomerations needs to focus on the mobility and security of urban agglomerations from the perspective of territory spatial security.

Key words: urban agglomeration, intercity population movement, human mobility, security of urban agglomeration, big data