An Evacuation Simulator for Exploring Mutual Assistance Activities in Neighborhood Communities for Earthquake Disaster Mitigation
An Evacuation Simulator for Exploring Mutual Assistance Activities in Neighborhood Communities for Earthquake Disaster Mitigation
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DOI：
10.14246/irspsd.6.1_18
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发表时间：
2018-01-01
影响因子：
1.6
通讯作者：
Ohgai, Akira
中科院分区：
文献类型：
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作者：
Karashima, Kazuki;Ohgai, Akira
日本面临着遭受大地震袭击的巨大风险。当强烈地震发生时，各种其他灾害，如火灾，建筑物倒塌和道路堵塞同时发生。在这种情况下，很难确保公共消防公司和社区志愿者等开展的当地应急活动足够。考虑到这一问题，居民之间的相互援助，如消防，疏散受害者，并帮助需要援助的人到指定的安全地点，是非常重要的。本文提出了一个疏散活动模拟器的开发，考虑到各种地震灾害下的互助能力，以支持社区为基础的活动的探索。特别是，模拟器计算当地居民代理撤离到指定安全地点所需的时间，以及可以和不能撤离的代理数量。用户可以根据没有支援或有支援人员的情况，改变无法疏散到指定安全地点的人数比例。因此，用户可以比较各种结果的模拟结果。通过实验论证，得出了以下结论.通过对模拟结果的分析，用户可以理解，互助活动减少了人类的痛苦。此外，用户可以区分互助能力何时高或低，以及互助能力何时由于通勤人群的存在而根据一天中的时间而改变。因此，当互助能力较低时，用户可以探索用于减少人类痛苦的对策。
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.