Analysis of public opinion and disaster loss estimates from typhoons based on Microblog data

被引：0
|
作者：
Li S. [1 ]
Zhao F. [2 ]
Zhou Y. [1 ]
Tian X. [3 ]
Huang H. [1 ]
机构：
[1] Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing
[2] National Disaster Reduction Center of China, Beijing
[3] Key Laboratory of Mining Goaf Disaster Prevention and Control of Ministry of Emergency Management, China Academy of Safety Science & Technology, Beijing
来源：
Qinghua Daxue Xuebao/Journal of Tsinghua University | 2022年 / 62卷 / 01期
关键词：
Disaster loss assessments; Disaster sentiment; Public opinions during typhoons; Typhoons;
D O I：
10.16511/j.cnki.qhdxxb.2021.26.031
中图分类号：
学科分类号：
摘要：
This study searched Microblog data related to Typhoon "Mangkhut" in 2018 and "Lekima" in 2019 and then used the Bayesian sentiment analysis model to analyze the public opinions related to these typhoons. The results show two different typhoon disaster public opinion temporal and spatial evolution laws and an emotional evolution law. Then, the urban typhoon disaster loss was estimated for coastal and inland cities based on the temporal and spatial evolution and emotional evolution laws. The data includes the city's geographic location, economy, population and typhoon disaster damage as well as sentiments. The disaster damage assessment model is consistent with the disaster assessment. The research results and methods provide references for disaster research and disaster relief demand analyses and guidelines for supply allocation in cities during initial emergency responses during typhoons. © 2022, Tsinghua University Press. All right reserved.
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页码：43 / 51
页数：8
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