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首页> 外文期刊>International journal of disaster resilience in the built environment >Autonomous evacuation and local community
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Autonomous evacuation and local community

机译：自主疏散和当地社区

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Purpose - The Aso area of Kumamoto Prefecture and the western part of Oita Prefecture in Japan experienced heavy rainfall from midnight until morning on 12 July 2012. Flooding and landslides caused by this torrential rain killed 31 people and injured 11. This paper aims to analyze a time series of flood risk perception and evacuation behavior, and to identify factors that promote effective autonomous evacuation. Design/methodology/approach - A time series of flood risk perception and evacuation behavior following the 2012 flood was developed and systematically analyzed. Differences between the data sets (compiled from survey data) for the evacuated group and the non-evacuated group were statistically evaluated. Then, an evacuation behavior model was developed to simulate which households would be likely to evacuate in different scenarios. The relationship between disaster prevention and activities of a local community were also statistically assessed. Findings - This study concludes that an assessment of river conditions and evacuation advice from fellow local community members are the factors that most strongly influence and promote autonomous evacuation. This study also revealed that the everyday activities of a local community have the potential to foster effective disaster prevention and emergency responses if they promote the building of relationships between community members. Originality/value - The research focused on actual decision-making and autonomous evacuation behavior. Whereas previous studies were limited to the analysis of activities of disaster prevention on a normal day, this study proved that the usual activity level in local community activities and relationships significantly affected evacuation behavior.
机译：目的-日本熊本县的阿苏地区和大分县的西部地区从午夜到2012年7月12日早晨经历了强降雨。这场暴雨造成的洪水和山体滑坡造成31人死亡，11人受伤。洪水风险感知和疏散行为的时间序列，并确定促进有效自主疏散的因素。设计/方法/方法-制定并系统分析了2012年洪水后洪水风险感知和疏散行为的时间序列。对撤离组和未撤离组的数据集（从调查数据汇总）之间的差异进行统计评估。然后，建立了疏散行为模型，以模拟在不同情况下可能疏散哪些家庭。还对灾害预防与当地社区活动之间的关系进行了统计评估。调查结果-该研究得出的结论是，对河流状况的评估和来自当地社区其他成员的疏散建议是最强烈影响和促进自主疏散的因素。这项研究还表明，如果当地社区的日常活动促进社区成员之间的关系建立，则有可能促进有效的防灾和应急响应。原创性/价值-研究重点在于实际决策和自主疏散行为。尽管先前的研究仅限于在正常的一天中进行防灾活动的分析，但这项研究证明，当地社区活动和关系中的常规活动水平显着影响了疏散行为。

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