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...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Progress in Disaster Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590061724000760 |
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| author | Akira Kodaka Akihiko Nishino Takashi Kanno Kaya Onda Kota Tsubouchi Shingo Suzuki Shuji Yamaguchi Naohiko Kohtake |
| author_facet | Akira Kodaka Akihiko Nishino Takashi Kanno Kaya Onda Kota Tsubouchi Shingo Suzuki Shuji Yamaguchi Naohiko Kohtake |
| author_sort | Akira Kodaka |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6ef3565b14af4afd9fb271c65bfdd946 |
| institution | OA Journals |
| issn | 2590-0617 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Progress in Disaster Science |
| spelling | doaj-art-6ef3565b14af4afd9fb271c65bfdd9462025-08-20T01:56:41ZengElsevierProgress in Disaster Science2590-06172024-12-012410038610.1016/j.pdisas.2024.100386Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queriesAkira Kodaka0Akihiko Nishino1Takashi Kanno2Kaya Onda3Kota Tsubouchi4Shingo Suzuki5Shuji Yamaguchi6Naohiko Kohtake7Graduate School of System Design and Management, Keio University, Collaboration Complex, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8526, Japan; Disaster and Risk Management Information Systems Research Unit, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok 10330, Thailand; Corresponding author at: Graduate School of System Design and Management, Keio University, Collaboration Complex, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8526, Japan.Graduate School of System Design and Management, Keio University, Collaboration Complex, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8526, JapanGraduate School of System Design and Management, Keio University, Collaboration Complex, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8526, JapanGraduate School of System Design and Management, Keio University, Collaboration Complex, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8526, JapanLY Research, LY Corporation, Kioi Tower 1-3 Kioicho, Chiyoda-ku, Tokyo 102-8282, JapanDisaster Resilience Research Division, National Research Institute for Earth Science and Disaster Resilience, 3-1 Tennodai, Tsukuba-shi, Ibaraki 305-0006, JapanLY Research, LY Corporation, Kioi Tower 1-3 Kioicho, Chiyoda-ku, Tokyo 102-8282, JapanGraduate School of System Design and Management, Keio University, Collaboration Complex, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8526, JapanThe 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.http://www.sciencedirect.com/science/article/pii/S2590061724000760Information needs2024 Noto Peninsula EarthquakeWeb search queryAnomaly-based importance scoring |
| spellingShingle | Akira Kodaka Akihiko Nishino Takashi Kanno Kaya Onda Kota Tsubouchi Shingo Suzuki Shuji Yamaguchi Naohiko Kohtake Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries Progress in Disaster Science Information needs 2024 Noto Peninsula Earthquake Web search query Anomaly-based importance scoring |
| title | Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries |
| title_full | Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries |
| title_fullStr | Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries |
| title_full_unstemmed | Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries |
| title_short | Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries |
| title_sort | elucidating ever changing information needs for the 2024 noto peninsula earthquake using web search queries |
| topic | Information needs 2024 Noto Peninsula Earthquake Web search query Anomaly-based importance scoring |
| url | http://www.sciencedirect.com/science/article/pii/S2590061724000760 |
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