Designing cascading disaster networks by means of natural language processing
Designing cascading disaster networks by means of natural language processing
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DOI：
10.1016/j.ijdrr.2021.102623
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发表时间：
2021-10
影响因子：
5
通讯作者：
Fumihiro Sakahira;U. Hiroi
中科院分区：
文献类型：
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作者：
Fumihiro Sakahira;U. Hiroi
在这项研究中，我们提出了一种评估级联灾害的方法，使用自然语言处理，全面，客观地提取灾害事件之间的因果关系的基础上，报纸的文章，并构建级联灾害网络。通过从坂神淡路大地震和东日本大地震的日本报纸文章中提取的数据说明了该方法的适用性。这两次灾害都表现出复杂的连锁关系，所提出的方法基于每个网络结构提取了坂神淡路大地震的“灾区工厂生产停止”和东日本大地震的“灾区以外的计划停电”等升级点。当与亚历山大的级联灾害的规模相匹配时，这两个灾难性事件都被证实达到5级。
In this study, we propose a method for evaluating cascading disasters using natural language processing to comprehensively and objectively extract causal relations between disaster events based on newspaper articles and construct cascading disaster networks. The applicability of this method is illustrated by employing data extracted from Japanese newspaper articles on the Great Hanshin-Awaji Earthquake and the Great East Japan Earthquake. Both disasters showed complex chain relations, and the proposed method extracted escalation points such as the “stoppage of factory production in the stricken area” for the Great Hanshin-Awaji Earthquake and “scheduled power outages outside the stricken areas” for the Great East Japan Earthquake based on each network structure. When matched with Alexander's magnitude scale for cascading disasters, both these catastrophic events were confirmed to reach Level 5.