Fine-Scale Spatiotemporal Analysis of Population Vulnerability to Earthquake Disasters: Theoretical Models and Application to Cities

doi:10.3390/su11072149

	Fine-Scale Spatiotemporal Analysis of Population Vulnerability to Earthquake Disasters: Theoretical Models and Application to Cities
	Yuan, Haihong 1; Gao, Xiaolu 2; Qi, Wei 2
刊名	SUSTAINABILITY
	2019-04-01
卷号	11 期号:7 页码:19
关键词	population vulnerability assessment methodology fine-scale spatiotemporal analysis Haidian District of Beijing
ISSN号	2071-1050
DOI	10.3390/su11072149
通讯作者	Yuan, Haihong(haihongyuan321@126.com)
英文摘要	China is particularly vulnerable to earthquakes and has suffered a high number of earthquake casualties. Therefore, it is imperative to develop effective methods for assessing population vulnerability in order to provide practical and useful information for pre-disaster preparedness and emergency management. However, there are many problems with existing approaches to assessing population vulnerability in China. This study developed a method combining dasymetric population mapping with population vulnerability indexing to estimate populations' vulnerability to earthquakes at block level in daytime and nighttime. The method aims to provide high spatial-temporal resolution information on vulnerable populations and population vulnerability. In a case study of Haidian District in Beijing, we combined our population spatialization model with a population vulnerability assessment model and sensitivity analysis to efficiently identify areas with high population vulnerability, the location of vulnerable populations, and key sensitive factors influencing population vulnerability during daytime and nighttime. This information can be used to identify where and which aspects of pre-disaster mitigation, preparedness, and emergency response activities should be prioritized. It is expected that these methods will be used to analyze vulnerable populations and population vulnerability in other areas of China.
资助项目	Key Research Base of Philosophy and the Social Sciences of Zhejiang Province[16JDGH041] ; MOE (Ministry of Education in China) Project of Humanities and Social Sciences[17YJCZH234] ; K. C. Wong Magna Fundof Ningbo University
WOS关键词	SOCIAL VULNERABILITY ; ECONOMIC VULNERABILITY ; URBAN AREAS ; INDICATORS ; HAZARD ; LEVEL
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	MDPI
WOS记录号	WOS:000466551600326
资助机构	Key Research Base of Philosophy and the Social Sciences of Zhejiang Province ; MOE (Ministry of Education in China) Project of Humanities and Social Sciences ; K. C. Wong Magna Fundof Ningbo University
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/59709]
专题	中国科学院地理科学与资源研究所
通讯作者	Yuan, Haihong
作者单位	1.Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo Univ Univ Angers Joint Inst Ningbo, Ningbo 315211, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Yuan, Haihong,Gao, Xiaolu,Qi, Wei. Fine-Scale Spatiotemporal Analysis of Population Vulnerability to Earthquake Disasters: Theoretical Models and Application to Cities[J]. SUSTAINABILITY,2019,11(7):19.
APA	Yuan, Haihong,Gao, Xiaolu,&Qi, Wei.(2019).Fine-Scale Spatiotemporal Analysis of Population Vulnerability to Earthquake Disasters: Theoretical Models and Application to Cities.SUSTAINABILITY,11(7),19.
MLA	Yuan, Haihong,et al."Fine-Scale Spatiotemporal Analysis of Population Vulnerability to Earthquake Disasters: Theoretical Models and Application to Cities".SUSTAINABILITY 11.7(2019):19.