Study on Estimation Methods of Regional Outflow Population
Li Yuejiao1; Yang Xiaohuan2; Cai Hongyan2
Corresponding AuthorLi Yuejiao()
AbstractSince the reform and opening up, with the rapid economic and social development in our country, as well as the progress of urbanization and the deepening reform of the management system, the scale of China's floating population has been growing rapidly. In the sixth census in 2010, the floating population reached more than 220 million, which accounted for 16.5% of the total population. Compared with the year in 2000, it increased 82.89%, and the number of people increased 100 million. The floating population is a rapidly changing group with strong dynamics, which brings great difficulties to the monitoring work of the floating population. At present, although the existing monitoring methods of floating population have paid relatively high economic and social costs, they still can't reflect the dynamic change process of the floating population well. In this paper, on the basis of the remote sensing data and socio-economic data, the linear regression model, geographically weighted regression model and neural network model were used to estimate the number of outflow population in the study area. The study found that the simulation results of the geographically weighted regression model are more consistent with the changing process of floating population, followed by the neural network model, the linear regression model is less effective. In addition, the population mobility in 2008-2010 was greater than that in 2005-2008, and the pattern of floating population in the recent two years was changing rapidly.
KeywordOutflow population Estimation Linear regression model Geographically weighted regression model Neural network model
Indexed BySCI
WOS Research AreaBiotechnology & Applied Microbiology ; Chemistry
WOS SubjectBiotechnology & Applied Microbiology ; Chemistry, Multidisciplinary
WOS IDWOS:000456610100366
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Document Type期刊论文
Corresponding AuthorLi Yuejiao
Affiliation1.Beijing Polytech, Beijing 100176, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Li Yuejiao,Yang Xiaohuan,Cai Hongyan. Study on Estimation Methods of Regional Outflow Population[J]. CHIMICA OGGI-CHEMISTRY TODAY,2018,36(6):1217-1218.
APA Li Yuejiao,Yang Xiaohuan,&Cai Hongyan.(2018).Study on Estimation Methods of Regional Outflow Population.CHIMICA OGGI-CHEMISTRY TODAY,36(6),1217-1218.
MLA Li Yuejiao,et al."Study on Estimation Methods of Regional Outflow Population".CHIMICA OGGI-CHEMISTRY TODAY 36.6(2018):1217-1218.
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