利用网络搜索查询阐明 2024 年能登半岛地震不断变化的信息需求

IF 2.6 Q3 ENVIRONMENTAL SCIENCES Progress in Disaster Science Pub Date : 2024-11-15 DOI:10.1016/j.pdisas.2024.100386
Akira Kodaka , Akihiko Nishino , Takashi Kanno , Kaya Onda , Kota Tsubouchi , Shingo Suzuki , Shuji Yamaguchi , Naohiko Kohtake
{"title":"利用网络搜索查询阐明 2024 年能登半岛地震不断变化的信息需求","authors":"Akira Kodaka ,&nbsp;Akihiko Nishino ,&nbsp;Takashi Kanno ,&nbsp;Kaya Onda ,&nbsp;Kota Tsubouchi ,&nbsp;Shingo Suzuki ,&nbsp;Shuji Yamaguchi ,&nbsp;Naohiko Kohtake","doi":"10.1016/j.pdisas.2024.100386","DOIUrl":null,"url":null,"abstract":"<div><div>The Noto Peninsula Earthquake that occurred on January 1, 2024, caused significant damage to the Noto Peninsula and surrounding areas. This study aims to contribute to evidence-based disaster response by identifying the information needs of the affected areas through a data-driven approach using web search queries. Specifically, the study focuses on the Oku-Noto region in Ishikawa Prefecture, which includes Wajima City, Suzu City, Anamizu Town, and Noto Town. By assigning anomaly scores to web search queries and applying statistical processing such as standardized scores, kurtosis, and skewness, this study elucidates the patterns of changes in information needs in the affected areas. From January 1, 2024, to June 23, 2024, a total of 15,107 search queries were extracted based on anomaly scoring, and 4790 queries were obtained after filtering out irrelevant data. These search queries were classified into five categories: “Hazard and Situation,” “Transportation,” “Critical Infrastructure,” “Coping and Recovery,” and “Daily Life.” The analysis revealed two distinct periods—around 10 days and one month after the disaster—where significant changes in the nature of information needs were observed. Furthermore, information needs related to “Transportation,” particularly road and traffic information, were relatively high, with a notable emphasis on the Noto Satoyama Kaido and Kanazawa Station.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100386"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries\",\"authors\":\"Akira Kodaka ,&nbsp;Akihiko Nishino ,&nbsp;Takashi Kanno ,&nbsp;Kaya Onda ,&nbsp;Kota Tsubouchi ,&nbsp;Shingo Suzuki ,&nbsp;Shuji Yamaguchi ,&nbsp;Naohiko Kohtake\",\"doi\":\"10.1016/j.pdisas.2024.100386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Noto Peninsula Earthquake that occurred on January 1, 2024, caused significant damage to the Noto Peninsula and surrounding areas. This study aims to contribute to evidence-based disaster response by identifying the information needs of the affected areas through a data-driven approach using web search queries. Specifically, the study focuses on the Oku-Noto region in Ishikawa Prefecture, which includes Wajima City, Suzu City, Anamizu Town, and Noto Town. By assigning anomaly scores to web search queries and applying statistical processing such as standardized scores, kurtosis, and skewness, this study elucidates the patterns of changes in information needs in the affected areas. From January 1, 2024, to June 23, 2024, a total of 15,107 search queries were extracted based on anomaly scoring, and 4790 queries were obtained after filtering out irrelevant data. These search queries were classified into five categories: “Hazard and Situation,” “Transportation,” “Critical Infrastructure,” “Coping and Recovery,” and “Daily Life.” The analysis revealed two distinct periods—around 10 days and one month after the disaster—where significant changes in the nature of information needs were observed. Furthermore, information needs related to “Transportation,” particularly road and traffic information, were relatively high, with a notable emphasis on the Noto Satoyama Kaido and Kanazawa Station.</div></div>\",\"PeriodicalId\":52341,\"journal\":{\"name\":\"Progress in Disaster Science\",\"volume\":\"24 \",\"pages\":\"Article 100386\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Disaster Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590061724000760\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Disaster Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590061724000760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

2024 年 1 月 1 日发生的能登半岛地震给能登半岛及周边地区造成了重大损失。本研究旨在通过使用网络搜索查询的数据驱动方法确定灾区的信息需求,从而为基于证据的灾害应对做出贡献。具体来说,研究重点是石川县奥能登地区,包括轮岛市、珠洲市、穴水町和能登町。本研究通过对网络搜索查询进行异常评分,并应用标准化评分、峰度和偏度等统计处理方法,阐明了灾区信息需求的变化规律。从 2024 年 1 月 1 日到 2024 年 6 月 23 日,根据异常评分共提取了 15107 条搜索查询,过滤掉无关数据后得到 4790 条查询。这些搜索查询被分为五类:"危害和情况"、"交通"、"关键基础设施"、"应对和恢复 "以及 "日常生活"。分析表明,在灾后 10 天和一个月左右这两个不同时期,信息需求的性质发生了显著变化。此外,与 "交通 "相关的信息需求,尤其是道路和交通信息,相对较高,其中能登里山街道和金泽站的需求尤为突出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries
The Noto Peninsula Earthquake that occurred on January 1, 2024, caused significant damage to the Noto Peninsula and surrounding areas. This study aims to contribute to evidence-based disaster response by identifying the information needs of the affected areas through a data-driven approach using web search queries. Specifically, the study focuses on the Oku-Noto region in Ishikawa Prefecture, which includes Wajima City, Suzu City, Anamizu Town, and Noto Town. By assigning anomaly scores to web search queries and applying statistical processing such as standardized scores, kurtosis, and skewness, this study elucidates the patterns of changes in information needs in the affected areas. From January 1, 2024, to June 23, 2024, a total of 15,107 search queries were extracted based on anomaly scoring, and 4790 queries were obtained after filtering out irrelevant data. These search queries were classified into five categories: “Hazard and Situation,” “Transportation,” “Critical Infrastructure,” “Coping and Recovery,” and “Daily Life.” The analysis revealed two distinct periods—around 10 days and one month after the disaster—where significant changes in the nature of information needs were observed. Furthermore, information needs related to “Transportation,” particularly road and traffic information, were relatively high, with a notable emphasis on the Noto Satoyama Kaido and Kanazawa Station.
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
相关文献
二甲双胍通过HDAC6和FoxO3a转录调控肌肉生长抑制素诱导肌肉萎缩
IF 8.9 1区 医学Journal of Cachexia, Sarcopenia and MusclePub Date : 2021-11-02 DOI: 10.1002/jcsm.12833
Min Ju Kang, Ji Wook Moon, Jung Ok Lee, Ji Hae Kim, Eun Jeong Jung, Su Jin Kim, Joo Yeon Oh, Sang Woo Wu, Pu Reum Lee, Sun Hwa Park, Hyeon Soo Kim
具有疾病敏感单倍型的非亲属供体脐带血移植后的1型糖尿病
IF 3.2 3区 医学Journal of Diabetes InvestigationPub Date : 2022-11-02 DOI: 10.1111/jdi.13939
Kensuke Matsumoto, Taisuke Matsuyama, Ritsu Sumiyoshi, Matsuo Takuji, Tadashi Yamamoto, Ryosuke Shirasaki, Haruko Tashiro
封面:蛋白质组学分析确定IRSp53和fastin是PRV输出和直接细胞-细胞传播的关键
IF 3.4 4区 生物学ProteomicsPub Date : 2019-12-02 DOI: 10.1002/pmic.201970201
Fei-Long Yu, Huan Miao, Jinjin Xia, Fan Jia, Huadong Wang, Fuqiang Xu, Lin Guo
来源期刊
Progress in Disaster Science
Progress in Disaster Science Social Sciences-Safety Research
CiteScore
14.60
自引率
3.20%
发文量
51
审稿时长
12 weeks
期刊介绍: Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.
期刊最新文献
Advancing geohazard risk assessment – A digital tool for steep slope management Drought disasters, vulnerability, severity, preparedness and response to the water sector: A comprehensive model approach for water governance and policy in South Africa Gender perspectives in disaster response: An evidence-based review Assessing regional resilience of different land use types during snowstorms using mobile data Game theory applications in managing stakeholder conflicts for building safety and resilience against natural disasters
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1