Session Details
防災計画 (1)
Thu. Sep 5, 2024 9:30 AM - 10:50 AM JST
Thu. Sep 5, 2024 12:30 AM - 1:50 AM UTC
Thu. Sep 5, 2024 12:30 AM - 1:50 AM UTC
C402(川内北キャンパス講義棟Ｃ棟)
Chair: Takuya Maruyama
[IV-36]Basic analysis of the tendency of foreign visitors to Kanazawa City before and after The 2024 Noto Peninsula Earthquake.
*Daichi Naoi1, Yuma Morisaki1, Makoto Fujiu1 (1. Kanazawa University)
[IV-37]Basic analysis of population dynamics in the affected area before and after the 2024 Noto Peninsula earthquake - A study using the KDDI Location Analyzer.
*Taiki Mashio1, Yuma Morisaki1, Makoto Fujiu1 (1. KANAZAWA Univercity)
[IV-38]Estimation of Seriously Injured Individuals Distribution During Disasters Using Mobile Spatial Statistics and Disaster Scenarios
*Taro Aratani1, Sota Matsuda2, Takahiro Majima1 (1. National Institute of Maritime, Port and Aviation Technology, Japan, 2. Tokyo University of Marine Science and Technology)
[IV-39]Information on the trial and implementation of a common system to improve disaster response capabilities in the event of a large-scale disaster ① - Aiming to improve system proficiency through regular use -
*Kento Tamagawa1, Sayuri Yoshioka1, Toru Shimada1, Yoshinori Abe1, Shoichi Yokoyama1, Akiko Takeshima1, Mina Kobayashi1, Yukino Hiroki1, So Tsuchiya1, Kouki Kawase2, Yoshitomo Sugiyama2 (1. Kokusai Kogyo Co., Ltd., 2. Aichi Prefectural Government, Bureau of Construction, Publics Works Department, Planning Division)
[IV-40]Information on the trial and implementation of a common system to improvedisaster response capabilities in the event of a large-scale disaster 2-Ensuring redundancy in the event of communication breakdowns-
*Sayuri Yoshioka1, kento tamagawa1, toru shimada1, yoshinori abe1, syoichi yokoyama1, akiko takeshima1, mina kobayashi1, yukino hiroki1, so tsuchiya1, kouki kawase2, yoshitomo sugiyama2 (1. Kokusai Kogyo Co., Ltd., 2. Aichi Prefectural Government)
[IV-41]Estimating power outages and optimizing energy mix through simulation in Hokkaido
*Yuma Shoji1, naotsugu sato1 (1. Chuo University)
[IV-42]Preparation of a municipal version of the GNS 2023 using 2020 data
*Kyohei Yasukuni1,2, Kazuya Itoh1, Nobutaka Hiraoka3, Tomofumi KoyamA4, Mamoru Kikumoto5 (1. Tokyo city university, 2. Asia Air Survey Co.,Ltd., 3. National Institute of Occupational Safety and Health, Japan,, 4. Kansai university, 5. Yokohama National University Graduate School)