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京津冀区域日常人口流动网络及其结构特征

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结合地理空间分析和社会网络分析方法,基于2018年腾讯出行大数据,对京津冀区域内城市间及对区外人口流动的热度和网络特征进行分析.结果显示:京津冀区域主要城市的对外迁移热度呈现显著的层级分布特征;城市规模和交通影响力与对京联系强度的关联性较强,距离邻近性对第二层级城市对外联系的影响较大;汽车方式的对外人口流动网络受距离律影响显著,与周边城市联系热度较高;飞机、火车等对外联系方式则更符合经济律特征,区域内城市通过飞机和火车方式与全国性经济中心、交通枢纽联系紧密;区内人口流动网络形成以北京为中心的北部大凝聚子群以及东部、南部的3个小凝聚子群,群内联系紧密;区域人口迁移网络以北京—廊坊—天津为核心,以"京津石三角形"区域为密集区.
Daily Population Flow Network and Its Structural Characteristics in the Beijing-Tianjin-Hebei Region
By combining the methods of geospatial analysis and social network analysis,the paper analyzes the in-tensity and network characteristics of the intercity and outbound population flow of cities in the Beijing-Tianjin-Hebei region from Tencent location-based big data in 2018.Results show that the outbound migration of major cit-ies in the region under study presents an apparently hierarchical distribution pattern.City size or traffic influence has a strong correlation to the intensity of connections with Beijing.For those second-tier cities,proximity is the biggest contributor.A city's outbound population flow by car is significantly affected by the proximity principle,while the mode of outbound population flow by plane or by train is more governed by the economy.Cities in the region are closely connected with national economic centers and transportation hubs by means of planes and trains.The population flow network forms a large urban agglomeration in the northern part of the region plus three small ones in its southeast,with Beijing,Langfang,and Tianjin being the core of regional population migra-tion network,and the triangle region formed by Beijing,Tianjin,and Shijiazhuang being the core area of popula-tion flow.

Beijing-Tianjin-Hebeipopulation flowregional population pattern

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国际关系学院公共管理系

京津冀 人口流动 区域人口格局

国家社科基金项目

20BRK021

2024

城市观察
广州市社会科学界联合会

城市观察

CHSSCD
影响因子:0.591
ISSN:1674-7178
年,卷(期):2024.89(1)
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