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タイトル
和文: 
英文:Analysis of Influential Factors on Building Damage from the 2011 Great East Japan Tsunami Using Multinomial Logistic Regression 
著者
和文: リーラワット ナット, サッパシー アナワット, チャーウエ イングリッド, 木村 裕行, 菅原 大助, 今村 文彦.  
英文: Natt Leelawat, Anawat Suppasri, Ingrid Charvet, Takayuki Kimura, Daisuke Sugawara, Fumihiko Imamura.  
言語 English 
掲載誌/書名
和文: 
英文:Proceedings of the 7th Thailand-Japan International Academic Conference 2014 
巻, 号, ページ         pp. 53-56
出版年月 2014年11月22日 
出版者
和文: 
英文: 
会議名称
和文: 
英文:The 7th Thailand-Japan International Academic Conference 2014 
開催地
和文:東京 
英文:Tokyo 
アブストラクト A number of buildings were damaged by the 2011 Great East Japan tsunami in Tohoku area. The objective of this paper is to determine the significant predictor variables and the direction of their relationship to the building damage level. This paper used the detailed data of damaged buildings in Kesennuma city, Japan, collected by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT). The tested explanatory variables included the inundation depth, number of floors, volume of the building, structural material, and function of the building. Through the multinomial logistic regression, the results found that the number of floors was significantly associated with the damage level; and the inundation depth, number of floors, volume of the building, structural material (reinforced material and masonry), and function of the building (commercial facility, transportation/storage facility, and public facility) were partially associated with the damage level. This study can contribute to academic research by assessing the contribution of different variables to the observed damage data applying statistical analysis and regression, as well as the practical contribution by providing scientifically-grounded understanding of the predominant factors driving tsunami damage to buildings.

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