Understanding Human Activities in Response to Typhoon Hato from Multi-Source Geospatial Big Data: A Case Study in Guangdong, China
文献类型：期刊论文
| 作者 | Huang, Sheng1,2; Du, Yunyan1,2; Yi, Jiawei1,2; Liang, Fuyuan1,2; Qian, Jiale1,2; Wang, Nan1,2; Tu, Wenna1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 14期号:5页码:17 |
| 关键词 | typhoon natural disaster human activity location request big data social media data resilience topic analysis |
| DOI | 10.3390/rs14051269 |
| 通讯作者 | Du, Yunyan(duyy@lreis.ac.cn) |
| 英文摘要 | Every year typhoons severely disrupt the normal rhythms of human activities and pose serious threats to China's coast. Previous studies have shown that the impact extent and degree of a typhoon can be inferred from various geolocation datasets. However, it remains a challenge to unravel how dwellers respond to a typhoon disaster and what they concern most in the places with significant human activity changes. In this study, we integrated the geotagged microblogs with the Tencent's location request data to advance our understanding of dweller's collective response to typhoon Hato and the changes in their concerns over the typhoon process. Our results show that Hato induces both negative and positive anomalies in humans' location request activities and such anomalies could be utilized to characterize the impacts of wind and rainfall brought by Hato to our study area, respectively. Topic analysis of Hato-related geotagged microblogs reveals that the negative location request anomalies are closely related to damage-related topics, whereas the positive anomalies to traffic-related topics. The negative anomalies are significantly correlated with economic loss and population affected at city level as suggested by an over 0.7 adjusted R-2. The changes in the anomalies can be used to portray the response and recovery processes of the cities impacted. |
| WOS关键词 | SOCIAL MEDIA DATA ; DAMAGE ASSESSMENT ; NATURAL DISASTERS ; TIME ; RESILIENCE ; INTENSITY ; AWARENESS ; SANDY |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000769342600001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/172235]  |
| 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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Sheng,Du, Yunyan,Yi, Jiawei,et al. Understanding Human Activities in Response to Typhoon Hato from Multi-Source Geospatial Big Data: A Case Study in Guangdong, China[J]. REMOTE SENSING,2022,14(5):17. |
| APA | Huang, Sheng.,Du, Yunyan.,Yi, Jiawei.,Liang, Fuyuan.,Qian, Jiale.,...&Tu, Wenna.(2022).Understanding Human Activities in Response to Typhoon Hato from Multi-Source Geospatial Big Data: A Case Study in Guangdong, China.REMOTE SENSING,14(5),17. |
| MLA | Huang, Sheng,et al."Understanding Human Activities in Response to Typhoon Hato from Multi-Source Geospatial Big Data: A Case Study in Guangdong, China".REMOTE SENSING 14.5(2022):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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