Capturing human response to Winter Storm Frankie based on X (formerly known as Twitter) data.

Q3 Medicine
Seungil Yum
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引用次数: 0

Abstract

This study delves into how people responded to Winter Storm Frankie in the United States based on X (formerly known as Twitter®) data according to a multitude of regions, periods, sociodemographic characteristics, census regions, and geographical scales. This study finds that people actively respond to natural disasters on X during the winter storm week. Specifically, the highest number of keywords during the winter storm week is 1.6 times greater than the second-highest number of keywords during the prewinter storm week. Second, the spatial distribution of tweets exhibits significant fluctuations across different periods. For instance, in the prewinter storm week, more tweets are posted in the West region, while in the winter storm week, the Northeast region experiences a higher volume of uploads. Third, regional variables exert a substantial influence on the number of tweets. For instance, Ohio and Montana demonstrate higher elasticity than Pennsylvania. Fourth, many sociodemographic variables, such as gender, age, education, and income, are associated with individual responses. For example, a 1 percent increase in males corresponds to a 0.01 percent increase in tweets.

基于X(以前称为Twitter)数据捕捉人类对冬季风暴弗兰基的反应。
本研究基于X(以前称为Twitter®)数据,根据众多地区、时期、社会人口特征、人口普查区域和地理尺度,深入研究了美国人们对冬季风暴弗兰基的反应。本研究发现,在冬季风暴周期间,人们在X上对自然灾害做出了积极的反应。具体而言,冬季风暴周的关键词数量最高是冬季风暴前周的关键词数量第二高的1.6倍。其次,推文的空间分布在不同时期表现出显著的波动。例如,在冬前风暴周,西部地区发布的推文更多,而在冬季风暴周,东北地区的上传量更高。第三,区域变量对推文数量的影响较大。例如,俄亥俄州和蒙大拿州表现出比宾夕法尼亚州更高的弹性。第四,许多社会人口变量,如性别、年龄、教育程度和收入,都与个人的反应有关。例如,男性增加1%对应于推文增加0.01%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Emergency Management
Journal of Emergency Management Medicine-Emergency Medicine
CiteScore
1.20
自引率
0.00%
发文量
67
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