Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data
文献类型：期刊论文
| 作者 | Liu, Zhang2,3; Du, Yunyan2,3 ; Ya, Jiawei2,3; Liang, Fuyuan1; Ma, Ting2,3; Pei, Tao2,3
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| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2019-07-27 |
| 页码 | 21 |
| ISSN号 | 1753-8947 |
| 关键词 | Human response typhoon natural disaster location-aware data rapid disaster assessment |
| DOI | 10.1080/17538947.2019.1645894 |
| 通讯作者 | Du, Yunyan(duyy@lreis.ac.cn) |
| 英文摘要 | Location-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. |
| WOS关键词 | SOCIAL MEDIA ; DAMAGE ASSESSMENT ; EARTHQUAKE ; TWITTER |
| 资助项目 | National Key R&D Program of China[2017YFC1503003] ; National Key Research and Development Program[2017YFB0503605] ; National Mountain Flood Disaster Investigation Project[SHZH-IWHR-57] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:000479530900001 |
| 资助机构 | National Key R&D Program of China ; National Key Research and Development Program ; National Mountain Flood Disaster Investigation Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/69002]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Du, Yunyan |
| 作者单位 | 1.Western Illinois Univ, Dept Geog, Macomb, IL 61455 USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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