Analysis of effectiveness of tsunami evacuation principles in the 2011 Great East Japan tsunami by using text mining

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• 作者：Nam-Yi Yun ; Seok-Won Lee
• 关键词：The 2011 Great East Japan earthquake and tsunami ; Disaster mitigation ; Evacuation principle ; Human impact ; Text Mining ; Naïve Bayes classifier
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：75
• 期：20
• 页码：12955-12966
• 全文大小：648 KB
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721
• 卷排序：75

文摘

Evacuation of the 2011 Great East Japan Earthquake and Tsunami was a large-scale evacuation of over thousands of people escaping from the earthquake-induced tsunami. The survivors’ evacuation experiences provided valuable insights into the factors that helped with survival and some very important practical issues regarding tsunami evacuation. Therefore, this article analyzes an effectiveness of tsunami evacuation principles from descriptive comments from the survivors and the non-survivors in the 2011 disaster using text mining method. As a result using the Naïve Bayesian classifier, it identifies some of the evacuation behaviors differences taken by the survivors or by the non-survivors under the disaster as an effectiveness of the evacuation principles, and attempts to understand how to provide more practical instructions. Therefore, these results give effective recommendations for evacuation preparation against catastrophic earthquake and tsunami disasters in the future.