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Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data
Liu, Zhang1,2; Du, Yunyan1,2; Ya, Jiawei1,2; Liang, Fuyuan3; Ma, Ting1,2; Pei, Tao1,2
2019-07-27
Source PublicationINTERNATIONAL JOURNAL OF DIGITAL EARTH
ISSN1753-8947
Pages21
Corresponding AuthorDu, Yunyan(duyy@lreis.ac.cn)
AbstractLocation-aware big data from social media have been widely used to quantitatively characterize natural disasters and disaster-induced losses. It is not clear how human activities collectively respond to a disaster. In this study, we examined the collective human activities in response to Typhoon Hato at multi spatial scales using aggregated location request data. We proposed a Multilevel Abrupt Changes Detection (MACD) methodological framework to detect and characterize the abrupt changes in location requests in response to Typhoon Hato. Results show that, at the grid level, most anomaly grids were located within a radius of 53 km around the typhoon trajectory. At the city level, there are significant spatial difference in terms of the human activity recovery duration (230 h on average). At the subnational level, the absolute magnitude of abrupt location request changes is strongly correlated with the typhoon-induced economic losses and the population affected.
KeywordHuman response typhoon natural disaster location-aware data rapid disaster assessment
DOI10.1080/17538947.2019.1645894
WOS KeywordSOCIAL MEDIA ; DAMAGE ASSESSMENT ; EARTHQUAKE ; TWITTER
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2017YFC1503003] ; National Key Research and Development Program[2017YFB0503605] ; National Mountain Flood Disaster Investigation Project[SHZH-IWHR-57]
Funding OrganizationNational Key R&D Program of China ; National Key Research and Development Program ; National Mountain Flood Disaster Investigation Project
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000479530900001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69003
Collection中国科学院地理科学与资源研究所
Corresponding AuthorDu, Yunyan
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Western Illinois Univ, Dept Geog, Macomb, IL 61455 USA
Recommended Citation
GB/T 7714
Liu, Zhang,Du, Yunyan,Ya, Jiawei,et al. Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2019:21.
APA Liu, Zhang,Du, Yunyan,Ya, Jiawei,Liang, Fuyuan,Ma, Ting,&Pei, Tao.(2019).Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data.INTERNATIONAL JOURNAL OF DIGITAL EARTH,21.
MLA Liu, Zhang,et al."Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data".INTERNATIONAL JOURNAL OF DIGITAL EARTH (2019):21.
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