A new perspective to understand public response to the Typhoon Doksuri from coastal and inland regions
文献类型：期刊论文
| 作者 | Xu, Mengqiong5; Wang, Juanle4,5; Qu, Zheng3,5; Min, Xiaodong3,5; Sun, Yamin2,5 |
| 刊名 | HELIYON
 |
| 出版日期 | 2024-09-15 |
| 卷号 | 10期号:17页码:e36862 |
| 关键词 | Typhoon disaster Data mining Disaster prevention and mitigation Public opinion |
| DOI | 10.1016/j.heliyon.2024.e36862 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Massive amounts of data from social media possess the potential to rapidly identify the primary issues of concern in emergency disaster management. In summer 2023, Super Typhoon Doksuri which was an exceptionally special typhoon disaster that caused severe damage to China's coastal areas and disastrous impacts in inland regions, particularly triggered the most severe rainstorm in Beijing area in over a century. To enhance typhoon hazard reduction in both coastal and interior locations, it is crucial to examine public response to these events. This study uses microblog text data from July 27 to August 3 of 2023 to map the public response to Typhoon Doksuri. The Support Vector Machine (SVM) algorithm was used to classify the microblog text in combination with the typhoon path to analyze the spatial and temporal variations of the emotions of the affected individuals. The relationship between changes in public opinion, the distribution of topics, and the major disasters triggered by the residual circulation of Typhoon Doksuri in the Beijing-Tianjin-Hebei region is discussed. The Mentougou mega-storm in Beijing area that occurred in July 2023 is a typical case. The findings demonstrate that during the typhoon event, the focus of public attention changed with the movement of the typhoon path, and various public opinion topics exhibited temporal synchronization. Public sentiment indicates that the overall supportive sentiment is higher than is fearful sentiment. Based on this, it is crucial to strengthen the Beijing-Tianjin-Hebei cooperative emergency response, and response measures were proposed related to urban flood control and drainage construction, public awareness, backward areas, secondary disasters, resident relocation, and social media technology. |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS记录号 | WOS:001301500800001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/207933]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Wang, Juanle |
| 作者单位 | 1.Inst Disaster Prevent, Sch Resources & Environm, Sanhe 065201, Peoples R China 2.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Jiangsu Ocean Univ, Sch Marine Technol & Geomatics, Lianyungang 222005, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Mengqiong,Wang, Juanle,Qu, Zheng,et al. A new perspective to understand public response to the Typhoon Doksuri from coastal and inland regions[J]. HELIYON,2024,10(17):e36862. |
| APA | Xu, Mengqiong,Wang, Juanle,Qu, Zheng,Min, Xiaodong,&Sun, Yamin.(2024).A new perspective to understand public response to the Typhoon Doksuri from coastal and inland regions.HELIYON,10(17),e36862. |
| MLA | Xu, Mengqiong,et al."A new perspective to understand public response to the Typhoon Doksuri from coastal and inland regions".HELIYON 10.17(2024):e36862. |
入库方式： OAI收割
来源：地理科学与资源研究所
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