中国人口流动网络特征及影响因素研究——基于腾讯位置大数据的分析

Research on the Characteristics and Influencing Factors of China’s Population Flow Network—Based on Tencent Location Big Data Analysis

文章基于2016年和2018年的腾讯位置大数据,采用社会网络分析法和QAP回归模型系统探究了中国人口流动网络的空间结构特征以及影响因素。研究结果表明:人口流动网络关联性增强,整体结构日趋稳健,但依然存在“东南密集,西北稀疏”的态势;经济发达、行政地位高的节点城市在人口流动网络中具有更强的吸引力和辐射力;人口流动网络的凝聚子群特征明显,人口流动仍以子群内流动为主,子群间联系较少;区域差异是人口流动的源动力,就业机会、工资收入以及迁移成本仍是影响人口流动的主要因素,随着生活水平的提高,舒适性需求对于人口流动的影响日渐凸显。

Based on Tencent location big data in 2016 and 2018,this paper uses social network analysis methods and QAP regression model system to explore the spatial structure characteristics and the influencing factors of China’s population flow network.The research results show that:The relevance of the population flow network has increased,and the overall structure has become increasingly stable,but there is still a trend of“being dense in the southeast and being sparse in the northwest”;Node cities with developed economy and high administrative status have stronger attractiveness and control in the population flow network;The characteristics of cohesive subgroups of the population flow network are obvious,and the population flow is still dominated by the flow within the subgroups,and there are few connections between the subgroups;Regional differences are the source of population mobility.Employment opportunities,wage income and migration costs are still the main factors affecting population mobility.With the improvement of living standards,the impact of comfort requirements on population mobility has become increasingly prominent.