中国地级以上城市人口流动网络研究——基于百度迁徙大数据的分析

发布时间：2018-04-05 18:45

  本文选题：百度迁徙　切入点：大数据　出处：《中国人口科学》2017年02期

【摘要】：文章基于百度迁徙大数据,运用复杂网络分析方法,构建中国334个城市间人口日常流动网络模型,测度并分析其复杂性网络特征。结果显示,城市行政级别的高低与人口流动影响力存在一定的正相关关系,大部分城市在人口流动上处于"相对平衡"状态;城市间人口流动网络显现出明显的等级层次性,东部沿海三大城市群依旧是人口流动的热点区域,但西部地区中心城市的网络影响力大幅提升。整个网络在空间上呈现出"两大四小"多中心的格局,其中北京与上海为"两大"中心,重庆、西安、广州和武汉为"四小"中心,6个中心节点在整个网络中处于绝对主导地位,但各自的流场分布又有所差异。网络中城市等级与流动距离存在一定的正相关关系,空间距离依然是人口流动的重要约束力。整个人口流动网络符合无标度网络特性,并呈现出典型的"小世界"网络特征,说明中国城市人口流动网络具有较高的连通性和可达性。
[Abstract]:Based on Baidu migration big data and using the complex network analysis method, this paper constructs the daily population mobility network model of 334 cities in China, measures and analyzes its complex network characteristics.The results show that there is a positive correlation between the level of urban administration and the influence of population mobility, and most cities are in a "relative equilibrium" state in terms of population mobility.The three urban agglomerations along the eastern coast are still the hot spots of population flow, but the influence of the central cities in the west is greatly enhanced.The whole network presents a multi-center pattern of "two big, four small" in space, with Beijing and Shanghai being the "two big" centers, Chongqing, Xi'an,Guangzhou and Wuhan are "four small" centers. Six central nodes are dominant in the whole network, but their flow field distribution is different.There is a positive correlation between urban class and mobility distance in the network, and spatial distance is still an important binding force of population mobility.The whole population mobility network accords with the characteristics of scale-free network and presents the typical "small world" network characteristics, which indicates that the urban population mobility network in China has high connectivity and accessibility.
【作者单位】： 兰州大学资源环境学院;兰州财经大学陇桥学院;
【基金】：国家自然科学基金项目“中国西部的企业迁移、园区发展与城市重构的互动模式研究”(编号:41571155)的阶段性成果
【分类号】：C922
，

本文编号：1715993