基于百度迁徙的中国城市网络结构分析——以2015年和2019年春运数据为例

Analysis of Urban Network Structure in China Based on Baidu Migration Data——Take the Data of Spring Festival in 2015 and 2019 for Example

采用LBS百度迁徙春运数据,运用度中心性、位序规模法则、优势流方法,对比分析2015年、2019年我国城市网络结构及其变化特征,结果表明:①从城市网络的位序规模特征看,全国呈现出首位城市结构,2019年各级城市对外联系强度占比均较2015年有所降低,有向均衡方向发展的趋势;②从城市网络的层级特征看,全国一级、二级城市大体呈现“十字形”分布;③全国城市网络整体呈东部密集、西部稀疏的结构特征.东部地区特别是沿海地区有更完整的城市网络结构,全国除核心城市外,城市受地域距离影响明显;全国城市南北方向联系强度大于东西方向联系强度,南北方向的线路联系增加了西部的北京—西安—成都—广州.

Based on the data of LBS Baidu's Spring Festival migration,using degree centrality,rank scale rule and dominant flow method,the urban network structure and its change characteristics in 2015 and 2019 in China have comparatively been analyzed in this paper.The results show that,1)the result of Rank-Size Rule of city network shows,there is a high score on the law of the primate city in total,and the proportion of cities at all levels in 2019 is lower than that in 2015.2)From the perspective of the hierarchical characteristics of the urban network,the distribution of the first and second tier cities in China is generally“cross shaped”.3)the overall structure of the national urban network is dense in the East and sparse in the West.The eastern region,especially the coastal area,has a more complete urban network structure.In addition to the core cities,cities in China are significantly affected by regional distance;the strength of the North-South connection is greater than that of the East-West direction,and the North-South line connection increases the“Beijing-Xi'an-Chengdu-Guangzhou”in the West.