Abstract

With the increasing trend of globalization, large-scale and diffuse population flow have become vital carriers characterizing users' spatial behaviors. Network analysis provides a new perspective to uncover the topology and evolution of the population flow and understand its influence on regional development. By gathering the Autonavi migration index during the Spring Festival travel rush (SFTR) in 2019, 2020, and 2021, the population flow networks among 31 cities of urban agglomeration in the middle reaches of the Yangtze River were constructed to analyze spatiotemporal dynamic characteristics and explore the structure resilience. Results show that although the changing trends of population flow during the 40-day SFTR of 2019, 2020, and 2021 are consistent, the population floating scale in 2020 and 2021 shows remarkable abnormalities before and after the Spring Festival due to the need for prevention and control of COVID-19. The intensity of population floating of the regional urban network in 2020 was the weakest, and Changsha became the focus of most population flow, while Wuhan was the most advantageous city in 2019 and 2021. As the third core city in the regional network, the siphon effect of Nanchang was still weak. A situation of tripartite confrontation in the region is formed. However, the higher intensity of population flow in 2021 increased the instability of the regional urban network, potentially exposing the region to higher risks and pressures. Therefore, it is necessary to pay more attention to the peripheral cities to improve regional resilience.

Highlights

  • With the increasing trend of globalization and the promotion of technology, the improvement in high-speed connection infrastructures has strengthened the connections between cities. e hierarchical space of cities dominated by administrative divisions tends to change into the functional space of the relational network

  • Autonavi migration data were obtained from the Autonavi big data platform based on the location-based services (LBSs) technology to construct the regional urban networks

  • Drawing on complex network theory and methods, we analyzed the characteristics of the urban network structure during the Spring Festival travel rush (SFTR) in each period at the population flow distribution levels, the popular population floating routes, the integration scale of population floating, and the criticality of urban nodes

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Summary

Introduction

With the increasing trend of globalization and the promotion of technology, the improvement in high-speed connection infrastructures (aviation, high-speed rail, telecommunications, Internet, etc.) has strengthened the connections between cities. e hierarchical space of cities dominated by administrative divisions tends to change into the functional space of the relational network. In the recent years, with the rapid development of society and economy, the connections among cities tend to be complicated and diversified, and the dynamic urban network in economy, technology, and information-driven by population flow has become a hot research topic. E “space of flows” theory proposed by Castells [1] can describe vividly the phenomenon of spatial connection in city networks. In a regional urban network, nodes and links correspond to cities and connections between cities, respectively. With the rise of flow space theory, regional urban networks were constructed based on the data of various resource flows among cities, and the special characteristics of their spatial structure were studied, which provide scientific support for the strategies of regional development.

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