Developing a Web-Based Supporting Application for Individual Evacuation Plans Through Hazard Risk and Geographical Analyses
Munenari Inoguchi*,†, Takahiro Sekikawa**, and Keiko Tamura***
*Faculty of Informatics, Shizuoka University
3-5-1 Johoku, Naka-ku, Hamamatsu City, Shizuoka 432-8011, Japan
**Graduate School of Science and Technology, Niigata University, Niigata, Japan
***Risk Management Office, Niigata University, Niigata, Japan
After the 2011 East Japan Earthquake, the Japanese Cabinet Office has promoted local governments and communities to develop a “Community Disaster Management Plan.” Local governments started to hold workshops to develop the said plan for residents in local communities. However, only a few residents (i.e., those who are interested in disaster prevention) participate in these workshops; thus, most residents do not have opportunities to survey disaster prevention. Considering this issue, we decided to develop a supporting application for individual disaster management plans by analyzing hazard risks and land features. In this research, we focused on evacuation planning for residents. Furthermore, we developed it as web-based application as any resident connected to the internet may be struggling with their evacuation. In our proposed application, users have to take seven steps: (1) learn features of tsunami attack and countermeasures during a tsunami disaster, (2) set start point for evacuation, (3) set first and second goal for evacuation based on lessons learned from the “Miracle of Kamaishi,” (4) search the shortest evacuation route from start point through the first goal to the second goal, (5) review change of elevation on the evacuation route, (6) review hazard risks and land feature on the evacuation route and to reroute if necessary, and (7) download their settled evacuation route to their own devices as a GPX file. After developing a prototype of the application, we published it as a web service. While the publishing was in process, we gathered logs on how users took actions based on our proposed application. Approximately 10 days after publishing the prototype, we analyzed the path of users’ action flow, and we detected issues that need to be resolved to improve esidents’ disaster management capacity during tsunami disasters. Generally, our application helped prepared users for tsunami disaster prevention.
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