Population Mobility Network Characteristics and Its Influencing Factors under the Influence of Typhoon Bebinca—— A Case Study of the Yangtze River Delta Region
Open Access
- 19 June 2025
- journal article
- Published by Purdue University (bepress) in CIB Conferences
- Vol. 1 (1) , 65
Abstract
With the increasing frequency of extreme weather events such as typhoons, the stability and resilience of the inter-city population mobility network is facing serious challenges. However, existing studies have failed to comprehensively reveal the dynamics of the overall regional network, especially the changes in network structure and drivers under disaster situations. Therefore, based on the Pressure-State-Response (PSR) framework and the complex network model, this paper constructs an assessment model for the characteristics of the population mobility network in the Yangtze River Delta (YRD) region under the influence of Typhoon Bebinca, in order to analyze the impact of the typhoon on the network structure and the changes in its driving factors. The study shows that the typhoon had a significant impact on the characteristics and patterns of the population mobility network in the YRD. First, during the typhoon, the network size and density decreased, long-distance mobility decreased, and mobility was concentrated among neighboring cities, showing the characteristics of “small world”. Second, after the typhoon landfall, the population inflow to the central city dropped significantly. Then, network connectivity declines during the typhoon, but modularity increases. Finally, in terms of drivers, differences in wind, air quality, residents' economic conditions, and the level of pollution control between cities significantly and negatively affect the network. In summary, this paper enriches the theoretical study of population mobility networks in disaster situations, and provides scientific basis and policy recommendations for enhancing emergency management capabilities and optimizing post-disaster recovery strategies in the YRD region.Keywords
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