新冠疫情影响下中国城市网络特征时空变化研究  

Spatial-Temporal Evolution Characteristics of City Network in China under the Influence of the COVID-19 Epidemic

作　　者：施泓羽 唐炉亮[1] 郑枭于 杜韵琦 吴悦然 SHI Hongyu;TANG Luliang;ZHENG Xiaoyu;DU Yunqi;WU Yueran(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079;School of Geography and Planning,Sun Yat-Sen University,Guangzhou 510275,China)

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079 [2]中山大学地理科学与规划学院,广东广州510275

出　　处：《地理与地理信息科学》2023年第3期23-30,共8页Geography and Geo-Information Science

基　　金：国家重点研发计划项目(2017YFB0503604、2016YFE0200400);国家自然科学基金项目(41971405、41671442、41901394)。

摘　　要：新冠疫情(COVID-19)对人口流动与城市网络产生了巨大影响,该文基于百度人口迁徙数据,利用多维度特征评价方法分析疫情暴发前后中国城市网络的空间关联特征变化,有助于重大卫生事件突发期间人口出行和迁徙模式认知以及疫情后的社会恢复。结果表明:①城市网络中重要性相对较高的城市面对疫情等突发状况冲击时的韧性比低位城市小,加权优势度最大起伏可达0.380,且城市位次恢复需要更多时间;②城市间形成以长江三角洲、珠江三角洲、成渝、京津冀4个城市群为核心顶点的“筝型”城市网络结构,核心城市群中的大规模疫情暴发会明显抑制整个网络的人口流动规模和密度,并且其部分城市职能会暂时被周边核心城市分担;③城市集群结构韧性大,在长时间序列上保持稳定,间断性疫情暴发不会明显改变城市群结构,城市群内部的优势城市会发生明显变化;④疫情暴发会降低全国人口的出行意愿,但在疫情暴发前后,各城市与其主要人口流动城市间仍能保持健康的联系。The COVID-19 epidemic has had a tremendous impact on population mobility and city network.Studying its spatio-temporal evolution is of great significance for revealing the migration patterns of population during sudden health issues and assisting social recovery in the post-epidemic era.Based on Baidu migration big data,this paper uses multi-dimensional feature evaluation method to analyze the spatial correlation characteristics of city network in China,and explore its differences before and after the outbreak of COVID-19.It is found as follows.①High ranking cities with higher relative importance in the city network are less resilient than low ranking cities when they are impacted by emergencies such as epidemics,with the maximum fluctuation of the weighted dominance index reaching 0.380,and it takes more time for cities to recover their ranks.②A kite-shaped city network has been formed in China,with the urban agglomerations of the Yangtze River Delta,the Pearl River Delta,the Chengdu Chongqing and the Beijing Tianjin-Hebei as the core vertices.The large-scale outbreak of COVID-19 in the core urban agglomerations will significantly inhibit the scale and density of population flow in the entire network,and some urban functions of the urban agglomerations will be temporarily shared by the surrounding core cities.③The structure of urban agglomerations is resilient,and intermittent outbreaks will not significantly change the structure of urban agglomerations,which tends to remain stable over a long period of time after short-term turbulence,but the dominant cities within urban agglomerations have changed significantly.④The outbreak of the epidemic will reduce the travel intention of the national people,but healthy connections can still be maintained between cities and their main mobile cities before and after the outbreak of COVID-19.

关 键 词：COVID-19 人口流动 网络分析 社团检测 百度迁徙大数据 

分 类 号：C922[社会学—人口学]