An Evacuation Simulator for Exploring Mutual Assistance Activities in Neighborhood Communities for Earthquake Disaster Mitigation
Authored by Kazuki Karashima, Akira Ohgai
Date Published: 2018
DOI: 10.14246/irspsd.6.1_18
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Abstract
Japan is at great risk of being struck by huge earthquakes. When a
strong earthquake occurs, various other disasters such as fire,
collapsing buildings, and road blockages simultaneously occur as a
result. In such a situation, it is difficult to ensure that the local
emergency activities by, for example, the public fire company and
community volunteers, are sufficient. Considering this issue, mutual
assistance among residents, such as firefighting, evacuating victims,
and helping those in need of assistance to designated safety sites, is
extremely important. This paper proposes the development of an
evacuation activities simulator, considering the capability of mutual
assistance under various earthquake disasters to support exploration of
community-based activities. In particular, the simulator calculates the
time that local resident agents take to evacuate to the designated
safety site, and the number of agents that can and cannot evacuate.
Users can change the ratio of those who cannot evacuate to the
designated safety site based on whether they are without some support or
with persons who support them. Therefore, users can compare the
simulation results of various outcomes. Through the experimental
demonstration the following findings were obtained. Confirming the
simulation results, users can understand that human suffering is reduced
by mutual assistance activities. In addition, users can distinguish when
the capability of mutual assistance is high or low, and when the
capability of mutual assistance is changed according to the time of day
due to the presence of the commuting population. Therefore, users can
explore the countermeasures used to reduce human suffering when the
capability of mutual assistance is low.
Tags
Agent-based model
Disaster mitigation
Earthquake
Mutual assistance
Multi-agent
simulation
Community-based activities