Modelling spatial distribution of fine-scale populations based on residential properties

doi:10.1080/01431161.2019.1579387

	Modelling spatial distribution of fine-scale populations based on residential properties
	Han, Dongrui 1,2; Yang, Xiaohuan 1,2; Cai, Hongyan 1; Xu, Xinliang 1; Qiao, Zhi 3; Cheng, Chuanzhou 1,2; Dong, Nan 4; Huang, Dong 1,2; Liu, Andi 5
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019-07-18
卷号	40 期号:14 页码:5287-5300
ISSN号	0143-1161
DOI	10.1080/01431161.2019.1579387
通讯作者	Yang, Xiaohuan(yangxh@lreis.ac.cn)
英文摘要	Fine-scale population gridded datasets are of great significance in emergency response, resource allocation, and traffic planning. Many studies have developed fine-scale population spatialization models based on building patch area (BPA) and building floor (BF). However, little attention has been given to house occupancy rate (HOR). Based on BPA, BF and HOR, this study proposed a novel fine-scale population spatialization method, taking the six districts of Beijing as the study area. The results showed that the HOR in central Beijing was higher than that of the surrounding area. The model with consideration of HOR was more accurate than that without it. In addition, the fine-scale population gridded map generated by this novel method was more accurate (mean prediction error = 8.47%). For all the testing samples, the relative errors of the population gridded data were between -13.54% and 16.04%. Thus, this study suggested that HOR could be a key indicator for fine-scale population modelling. Furthermore, the proposed method could be employed in generating fine-scale population gridded maps and could provide credible and fundamental data for rapid response and decision-making.
资助项目	Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010203] ; National Natural Science Foundation of China[41771460] ; National Key Research and Development Program of China[2017YFC0503803] ; Key project of the Chinese Academy of Sciences[ZDRW-ZS-2017-4]
WOS关键词	BUILDING POPULATION ; CHINA ; DENSITY ; IMAGERY ; PATTERNS
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000465406100001
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Key project of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48093]
专题	中国科学院地理科学与资源研究所
通讯作者	Yang, Xiaohuan
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Tianjin Univ, Sch Environm Sci & Engn, Key Lab Indoor Air Environm Qual Control, Tianjin, Peoples R China 4.CIGIS CHINA Ltd, Beijing, Peoples R China 5.Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada
推荐引用方式 GB/T 7714	Han, Dongrui,Yang, Xiaohuan,Cai, Hongyan,et al. Modelling spatial distribution of fine-scale populations based on residential properties[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(14):5287-5300.
APA	Han, Dongrui.,Yang, Xiaohuan.,Cai, Hongyan.,Xu, Xinliang.,Qiao, Zhi.,...&Liu, Andi.(2019).Modelling spatial distribution of fine-scale populations based on residential properties.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(14),5287-5300.
MLA	Han, Dongrui,et al."Modelling spatial distribution of fine-scale populations based on residential properties".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.14(2019):5287-5300.