TY - GEN
T1 - Development of Prototype System to Generate Chronological Response Scenario Dataset by Assembling Multi-responders' Action Logs at Past Disaster
AU - Inoguchi, Munenari
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In recent years, various kinds of disasters such as landslide disasters, heavy rain-fall disasters, and earthquake disasters have occurred in any area of Japan. In the case of a large-scale disaster, local governments tend to verify the disaster response, identify issues, and consider solutions. However, in the case of other disasters, the response is managed on a department-by-department basis, and it is rarely summarized comprehensively and the overall picture of the disaster response is not reviewed. On the other hand, assuming training, a disaster response scenario is essential. However, although experienced people and researchers create scenarios reviewing past disasters as examples, they are based on their own experience and they are not necessarily reflected all the actual conditions of past disasters.Against this issue, we designed and developed a web application that comprehensively organizes the action logs in chronological order reflecting the structure of the organization even though those action logs are managed individually by each department. With this tool, based on the accumulated dataset, past response logs are given to a user as situations for each time step, and the user can easily and quickly experience disaster response drill.
AB - In recent years, various kinds of disasters such as landslide disasters, heavy rain-fall disasters, and earthquake disasters have occurred in any area of Japan. In the case of a large-scale disaster, local governments tend to verify the disaster response, identify issues, and consider solutions. However, in the case of other disasters, the response is managed on a department-by-department basis, and it is rarely summarized comprehensively and the overall picture of the disaster response is not reviewed. On the other hand, assuming training, a disaster response scenario is essential. However, although experienced people and researchers create scenarios reviewing past disasters as examples, they are based on their own experience and they are not necessarily reflected all the actual conditions of past disasters.Against this issue, we designed and developed a web application that comprehensively organizes the action logs in chronological order reflecting the structure of the organization even though those action logs are managed individually by each department. With this tool, based on the accumulated dataset, past response logs are given to a user as situations for each time step, and the user can easily and quickly experience disaster response drill.
KW - action logs
KW - chronology
KW - disaster response drill
KW - disaster response scenario
UR - http://www.scopus.com/inward/record.url?scp=85125344562&partnerID=8YFLogxK
U2 - 10.1109/BigData52589.2021.9672009
DO - 10.1109/BigData52589.2021.9672009
M3 - 会議への寄与
AN - SCOPUS:85125344562
T3 - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
SP - 3519
EP - 3521
BT - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
A2 - Chen, Yixin
A2 - Ludwig, Heiko
A2 - Tu, Yicheng
A2 - Fayyad, Usama
A2 - Zhu, Xingquan
A2 - Hu, Xiaohua Tony
A2 - Byna, Suren
A2 - Liu, Xiong
A2 - Zhang, Jianping
A2 - Pan, Shirui
A2 - Papalexakis, Vagelis
A2 - Wang, Jianwu
A2 - Cuzzocrea, Alfredo
A2 - Ordonez, Carlos
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Big Data, Big Data 2021
Y2 - 15 December 2021 through 18 December 2021
ER -