TY - JOUR
T1 - A study on influential factors on building damage in Kesennuma, Japan from the 2011 great East Japan Tsunami
AU - Leelawat, Natt
AU - Suppasri, Anawat
AU - Charvet, Ingrid
AU - Kimura, Takayuki
AU - Sugawara, Daisuke
AU - Imamura, Fumihiko
N1 - Publisher Copyright:
© 2015, Chulalongkorn University 1. All rights reserved.
PY - 2015/6/5
Y1 - 2015/6/5
N2 - A number of buildings were damaged by the 2011 Great East Japan tsunami in the Tohoku area. The research objective is to determine the significant predictor variables of the level of building damage. This paper used detailed data on damaged buildings in Kesennuma City, Japan, collected by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT). The tested explanatory parameters included the inundation depth, number of floors, volume of the building, debris flow, structural material, and function of the building. Through multinomial logistic regression, the results found that the number of floors was significantly associated with the damage level; the inundation depth, structural material (reinforced concrete 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 observed damage data by applying statistical analysis, as well as the practical contribution of providing an examination of the predominant factors driving tsunami damage to buildings.
AB - A number of buildings were damaged by the 2011 Great East Japan tsunami in the Tohoku area. The research objective is to determine the significant predictor variables of the level of building damage. This paper used detailed data on damaged buildings in Kesennuma City, Japan, collected by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT). The tested explanatory parameters included the inundation depth, number of floors, volume of the building, debris flow, structural material, and function of the building. Through multinomial logistic regression, the results found that the number of floors was significantly associated with the damage level; the inundation depth, structural material (reinforced concrete 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 observed damage data by applying statistical analysis, as well as the practical contribution of providing an examination of the predominant factors driving tsunami damage to buildings.
KW - 2011 great east japan tsunami
KW - Building damage level
KW - Multinomial logistic regression
KW - Prediction
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U2 - 10.4186/ej.2015.19.3.105
DO - 10.4186/ej.2015.19.3.105
M3 - Article
AN - SCOPUS:84930940576
SN - 0125-8281
VL - 19
SP - 105
EP - 115
JO - Engineering Journal
JF - Engineering Journal
IS - 3
ER -