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[1]LIU Zhicheng,XIAO Dongsheng.Research on Population Distribution with High Spatial Resolution Based on Multi-source Information[J].Journal of Seismological Research,2021,44(02):251-261.

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Research on Population Distribution with High Spatial Resolution Based on Multi-source Information

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: 44 Number of periods: 2021 02 Page number: 251-261 Column: Public date: 2021-06-30

Title:: Research on Population Distribution with High Spatial Resolution Based on Multi-source Information

Author(s):: LIU Zhicheng¹; XIAO Dongsheng¹; 2; (1.School of Civil Engineering and Surveying and Mapping,Southwest Petroleum University,Chengdu 610500,Sichuan,China)(2.Disaster Prevention and Emergency Research Center for Surveying,Mapping and Remote Sensing,Southwest Petroleum University,Chengdu 61050

Keywords:: emergency and rescue; principal component analysis; population distribution; POI; buildings

CLC:: P315.94

DOI:: -

Abstract:: The current spatialized data of population are normally static and of low resolution in time and space,and not so practical for emergency and rescue.To solve this problem,according to the theory of urban circle structure and principal component analysis,we proposed a method of estimating population on building-scale using high resolution data in time and space.Taking Chengdu City as an example,we calculated the location rate of different urban circles using the Tencent Location Big Data,and obtained the population distribution in the grid of 1 km×1 km of Chengdu in different periods of a day.Further,we used the Tyson Polygon based on the center of the building as the basic unit of population distribution,and calculated and weighted the contribution of the data from Tencent Easygo and the POI data from Baidu Map to the population distribution.In this way we obtained the distribution of population on building-scale in Qingyang District of Chengdu.R²,the coefficient of determination for the regression analysis of the street-scale statistics,is 0.926 4.Our results are more accurate and conform to the actual distribution of population in this area.

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Last Update: 2021-06-30