基于多源数据的中国人口时空变化及流动格局

Spatiotemporal Changes and Mobility Patterns of China's Population Based on Multi-source Data

本文利用不同年份统计年鉴数据,通过人口密度、增速、洛伦兹曲线、尼基系数等指标计算方法对全国人口流动迁移趋势和分布均衡性变化特征进行分析。利用2020年春运返乡期间百度迁徙数据,基于网络中心性、联系强度、首位流以及K-壳分解算法分析人口流动空间分布格局。结果表明中国人口不均衡趋势越来越显著,中小型城市人口逐渐向区域中心级城市转移。华中地区形成多个人口流失集聚区,广东省和浙江省人口吸引能力最强。全国共形成20个城市群,其中京津冀、长三角、珠三角和成渝城市群内部人口流动联系最为紧密。

Based on the statistical yearbook,this study analyzes the trend of population migration and the characteristics of distribution balance changes by sevral measures including density,growth rate,Lorentz curve and Niki coefficient.Based on the migration data of Baidu during the spring transportation period in 2020,the spatial distribution pattern of population flow is analyzed based on network centrality,connection strength,primary flow and K-shell algorithm.The results show that the trend of population imbalance in China is more and more obvious,and the population of small and medium-sized cities is gradually transferred to regional central cities.Central China has become several population loss concentration areas.Guangdong Province and Zhejiang Province have the strongest population attraction.There are twenty urban agglomerations in China,among which Beijing Tianjin Hebei,Yangtze River Delta,Pearl River Delta and Chengdu Chongqing urban agglomerations have the highest intensity of population mobility.