基于大数据的京沪人口流动流量、流向新变化  

Population inflow and outflow of Beijing and Shanghai based on big data analysis

作　　者：周晓津[1] 姚阳[1] 

机构地区：[1]广州市社会科学院,广东广州510410

出　　处：《大数据》2016年第3期49-59,共11页Big Data Research

基　　金：2015年国家社会科学基金一般项目"基于大数据的人口流动流量;流向新变化研究"(No.15BRK037)~~

摘　　要：位置大数据为人口流动流量、流向及其变化研究提供了条件,大数据人口推断比人口普查更加精准且成本大幅度降低。基于大数据的人口流动分析表明,2015年末北京、上海外来人口规模稳中有降,外来人口来源构成与2010年全国第六次人口普查相比也发生了较大变化,来自于邻近省份的外来人口增加。在加快实施国家大数据战略的背景下,应加快共享公共数据,推进人口流动大数据研究,以尽快构建基于大数据的国家人口基础信息库。With the help of LBS big data analysis, more about population floating and its changing is know while the outcome is more accurate and its cost less than traditional population investigation or census. Analysis shows that the population size from outside province of Beijing and Shanghai remains stable with a slight decline by the end of 2015. Compared with national population census of 2010, the inflow population structure has seen a great change, the inflow population from the neighboring provinces increased a lot. To speed up the implementation of the national big data strategy, the government should promote public data sharing, attract more scholars to engage in big data analysis and help to build the country＇s basic population database.

关 键 词：人口流动大数据 国家人口基础信息库 国家大数据战略 

分 类 号：C921[社会学—人口学]