Multi-source Data for Population Monitoring in the Digital Age:Current Situation and Prospects
Population monitoring is the basic work to support the party and the state to carry out multiple goals such as population planning,statistics,prediction and early warning,and is the cornerstone of scientific government decision-making.At present,the traditional data of population monitoring in China still have some problems,such as missing and rereporting,low quality,weak timeliness,incomplete attributes,and insufficient integration.It is difficult to implement effective and fine population management,and also limits the wide application of monitoring data in demographic research.With the rapid development of information technology and the further popularization of mobile terminals,a series of new data such as mobile phone signaling,Internet and remote sensing information that can directly or indirectly capture"population behavior"have emerged in large numbers and been applied to population monitoring,complementing traditional data collection methods such as census and survey.It is expected to form a more comprehensive and practical multi-source big data foundation for population monitoring through cross-collaboration.This paper systematically combs the multi-source data used for population monitoring in the digital era from three aspects:traditional data,new data and the fusion of traditional and new data.Firstly,by combing the classification of traditional population monitoring and related application research,it summarizes the main advantages,bottlenecks and shortcomings of traditional data,and then clarifies the demand targets and necessity of fusion of new data.Secondly,from the perspective of data classification,comparison of advantages and disadvantages,and application research,the relevant literature of new data is reviewed,focusing on the opportunity and challenge of applying new data at the present stage.Finally,by summarizing the advantages of fusion application of traditional data and new data,the issues to be further studied are refined.This study establishes a theoretical basis for using multi-source data to realize population dynamic monitoring,promote the informationization,standardization and refinement of floating population statistics,and support government policy making and demographic research.
multi-source datapopulation behaviorpopulation datademographic studiessurvey and census