Journal of Geo-information Science

Analysis of Urban Centrality and Community Patterns from the Perspective of "Intercity Mobility Flow" in China

YIN Yanzhong, WU Qunyong, LIN Han, ZHAO Zhiyuan

Journal of Geo-information Science, 2024, 26(3): 666-678. DOI: 10.12082/dqxxkx.2024.230157

网络类型	特点
专利联系网络^[37]	跨区域组团模式、克服了地理距离的摩擦阻力
科技创新网络^[38]	中国东南、华北及东北、西南地区形成了较大规模的科技创新子网络
公路客运流动网络^[35]	湖北省、福建省、湖南省、浙江省等省份形成相对独立的凝聚子群
高铁客流流动网络^[22]	铁路沿线易于形成社群结构；出现部分跨省级行政区城市的凝聚子群
城际贸易联系网络^[39]	新冠疫情对城际贸易网络结构产生了较大影响，上海社群明显减弱

Tab. 4 Regional integration development pattern from different network perspectives

Other figure/table from this article

Fig. 1 Research framework for urban centrality and community patterns in China
Fig. 2 Relationship of intercity mobility surpassing index and weighted degree centrality
Fig. 3 Parallel coordinate system diagram of the top ten cities ranked by S-index and weighted degree
Fig. 4 Transcendence probability distribution of intercity population flow in typical cities
Tab. 1 Division of urban centrality from October 2021 to September 2022 in China
Fig. 5 Spatial cluster characteristics of urban centrality from October 2021 to September 2022 in China
Fig. 6 Spatial clustering pattern of inter-monthly intercity mobility network in China from October 2021 to September 2022
Fig. 7 Spatial clustering pattern of intercity mobility network from October 2021 to September 2022 in China
Tab. 2 Summary table of urban community identification results from October 2021 to September 2022 in China
Tab. 3 Table of cities without stable community patterns from October 2021 to September 2022 in China