Application of Location Service Data in the Research on Population Mobility Characteristics
On the basis of sorting out the current situation and existing problems of traditional data and Big Data for population mobility research,this paper uses the method of combining traditional data and Baidu spatio-temporal Big Data,and takes the research on population mobility characteristics in Puyang City as an example to clarify the meaning of various types of Baidu spatio-temporal Big Data.Aiming at the specific research content of population mobility in Puyang City,it selects the corresponding data,improves the accuracy of population mobility research,and realizes the research time diversification and spatial refinement.The research finds that Puyang City is a city of out-of-population,with a large scale of population outflow and a cyclical mobility characteristic of"going out on weekdays and returning home in Spring Festival".And the population outflow is mostly concentrated in neighboring provinces and cities and economically developed areas,which is a typical labor export city.The spatial difference of population outflow within the city area is large,and the population outflow in rural areas is more serious.
population mobilitylocation service dataBaidu spatio-temporal Big Dataspatial difference
万方数据
维普
