利用 Twitter 数据了解冬季风暴 "本吉 "的灾害脆弱性

IF 1.7 Q2 GEOGRAPHY
Seungil Yum
{"title":"利用 Twitter 数据了解冬季风暴 \"本吉 \"的灾害脆弱性","authors":"Seungil Yum","doi":"10.1111/rsp3.12563","DOIUrl":null,"url":null,"abstract":"<div><p>This study highlights how Winter Storm Benji played a significant role in human responses and displacements on the basis of a multitude of periods, geographic scales, and social vulnerability. This study collects Twitter data between November 20 and December 24, 2017 for Winter Storm Benji in the United States, which was one of the heaviest December storms on record in the southern United States. This study finds that tweets during the week of the winter storm were roughly four times higher than those in the pre‐winter storm week. Second, the southern United States significantly shows a higher proportion of tweets during the winter storm week. Third, US states show different displacements with other variables controlled. For example, Texas and Louisiana show less displacements than Florida. Fourth, vulnerable people responded differently to the natural disaster according to social vulnerability categories. For instance, vulnerable people in the housing type &amp; transportation category are highly associated with the natural disaster event, whereas those in the socioeconomic status category are not related to it.</p></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1757780224001598/pdfft?md5=ae60cf4f7f7a5ccd2c383ca11c9af391&pid=1-s2.0-S1757780224001598-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Disaster vulnerability from Winter Storm Benji with Twitter data\",\"authors\":\"Seungil Yum\",\"doi\":\"10.1111/rsp3.12563\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study highlights how Winter Storm Benji played a significant role in human responses and displacements on the basis of a multitude of periods, geographic scales, and social vulnerability. This study collects Twitter data between November 20 and December 24, 2017 for Winter Storm Benji in the United States, which was one of the heaviest December storms on record in the southern United States. This study finds that tweets during the week of the winter storm were roughly four times higher than those in the pre‐winter storm week. Second, the southern United States significantly shows a higher proportion of tweets during the winter storm week. Third, US states show different displacements with other variables controlled. For example, Texas and Louisiana show less displacements than Florida. Fourth, vulnerable people responded differently to the natural disaster according to social vulnerability categories. For instance, vulnerable people in the housing type &amp; transportation category are highly associated with the natural disaster event, whereas those in the socioeconomic status category are not related to it.</p></div>\",\"PeriodicalId\":45520,\"journal\":{\"name\":\"Regional Science Policy and Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1757780224001598/pdfft?md5=ae60cf4f7f7a5ccd2c383ca11c9af391&pid=1-s2.0-S1757780224001598-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Regional Science Policy and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1757780224001598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional Science Policy and Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1757780224001598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0

摘要

本研究强调了冬季风暴 "本吉 "如何在多个时期、地理范围和社会脆弱性的基础上对人类的反应和流离失所发挥了重要作用。本研究收集了 2017 年 11 月 20 日至 12 月 24 日期间美国冬季风暴本吉的推特数据,这场风暴是美国南部有记录以来 12 月最猛烈的风暴之一。本研究发现,冬季风暴发生当周的推文数量大约是冬季风暴发生前一周的四倍。其次,美国南部在冬季风暴周期间的推文比例明显更高。第三,在控制其他变量的情况下,美国各州显示出不同的位移。例如,得克萨斯州和路易斯安那州的流离失所人数少于佛罗里达州。第四,根据社会弱势类别,弱势人群对自然灾害的反应不同。例如,住房类型和ampamp;交通类别中的弱势人群与自然灾害事件高度相关,而社会经济地位类别中的弱势人群与自然灾害事件无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disaster vulnerability from Winter Storm Benji with Twitter data

This study highlights how Winter Storm Benji played a significant role in human responses and displacements on the basis of a multitude of periods, geographic scales, and social vulnerability. This study collects Twitter data between November 20 and December 24, 2017 for Winter Storm Benji in the United States, which was one of the heaviest December storms on record in the southern United States. This study finds that tweets during the week of the winter storm were roughly four times higher than those in the pre‐winter storm week. Second, the southern United States significantly shows a higher proportion of tweets during the winter storm week. Third, US states show different displacements with other variables controlled. For example, Texas and Louisiana show less displacements than Florida. Fourth, vulnerable people responded differently to the natural disaster according to social vulnerability categories. For instance, vulnerable people in the housing type & transportation category are highly associated with the natural disaster event, whereas those in the socioeconomic status category are not related to it.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.60
自引率
5.90%
发文量
92
期刊介绍: Regional Science Policy & Practice (RSPP) is the official policy and practitioner orientated journal of the Regional Science Association International. It is an international journal that publishes high quality papers in applied regional science that explore policy and practice issues in regional and local development. It welcomes papers from a range of academic disciplines and practitioners including planning, public policy, geography, economics and environmental science and related fields. Papers should address the interface between academic debates and policy development and application. RSPP provides an opportunity for academics and policy makers to develop a dialogue to identify and explore many of the challenges facing local and regional economies.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信