抄録
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.
| 本文言語 | English |
|---|---|
| 論文番号 | 100386 |
| ジャーナル | Progress in Disaster Science |
| 巻 | 24 |
| DOI | |
| 出版ステータス | Published - 2024 12月 |
UN SDG
この成果は、次の持続可能な開発目標に貢献しています
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SDG 11 住み続けられるまちづくり
ASJC Scopus subject areas
- 地理、計画および開発
- 環境科学(その他)
- 安全研究
- 地球惑星科学(その他)
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