Visualization of Damage Caused by the 2019 Catastrophic Disaster in Chiba Prefecture by Integrating Different Information Sources

• Published in: Intelligence, Informatics and Infrastructure Vol. 1; no. J1; pp. 286 - 294
• Main Authors: OEDA, Shinichi, INAGE, Atsuto, SHINODA, Hiroki, Iizumi, Shunsuke, MIYAJIMA, Akiko
• Format: Journal Article
• Language: Japanese
• Published: Japan Society of Civil Engineers 11.11.2020
• ISSN: 2435-9262
• DOI: 10.11532/jsceiii.1.J1_286

Typhoon No. 15 in the first year of Reiwa, which hit the dawn on September 9, 2019, caused a great deal of damage mainly in the southern part of Chiba prefecture. Because of the seriousness of the damage, it was designated as a severe disaster by the government on October 11, 2019, and named "2019 Boso Peninsula Typhoon" by the Japan Meteorological Agency on February 19, 2020. In the case of a disaster over a wide area, it is necessary for the local government to collect the damage situation, and for the prefecture and the country to gather information and recover. However, in Typhoon No.15, it was difficult to collect information in local governments due to the effect of large-scale and long-term power outages, which greatly affected the recovery speed. In this study, in order to prepare for a huge typhoon in the future, we investigated and analyzed the damage situation of typhoon No. 15 by integrating various kinds of information in the southern area of Chiba prefecture. The results show that there is a time lag between the time of disaster and the time of application for a certificate of damage to a house. In addition, we report on the results of predicting the congestion of application windows in city halls using deep learning that can predict time series.