TY - JOUR
T1 - Building damage from the 2011 Great East Japan tsunami
T2 - Quantitative assessment of influential factors: A new perspective on building damage analysis
AU - Leelawat, Natt
AU - Suppasri, Anawat
AU - Charvet, Ingrid
AU - Imamura, Fumihiko
N1 - Funding Information:
Acknowledgments This research was partly funded by the Academy for Co-creative Education of Environment and Energy Science (ACEEES) of Tokyo Institute of Technology, the Ministry of Education, Culture, Sports, Science and Technology (MEXT), the Tokio Marine & Nichido Fire Insurance Co., Ltd. through the International Research Institute of Disaster Science (IRIDeS) at Tohoku University, and the Willis Research Network under the Pan-Asian/Oceanian tsunami risk modeling and mapping project. The detailed building damage data used in this study were collected during the damage surveys of the 2011 Tohoku tsunami conducted by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) and were officially provided by Ishinomaki city. The first author also would like to thank Prof. Junichi Iijima and Iijima Laboratory of Tokyo Institute of Technology, Tsunami Engineering Laboratory of Tohoku University, and Dr. Jing Tang.
PY - 2014/9
Y1 - 2014/9
N2 - Based on the classification provided by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), the damage level of buildings impacted by the 2011 Great East Japan tsunami can be separated into six levels (from minor damage to washed away). The objective of this paper is to identify the significant predictor variables and the direction of their potential relationship to the damage level in order to create a predicting formula for damage level. This study used the detailed data of damaged buildings in Ishinomaki city, Miyagi prefecture, Japan, collected by MLIT. The explanatory variables tested included the inundation depth, number of floors, structural material, and function of the building. Ordinal regression was applied to model the relationship between the ordinal outcome variable (damage level) and the predictors. The findings indicated that inundation depth, structural material, and function of building were significantly associated with the damage level. In addition to this new type of model, this research provides a valuable insight into the relative influence of different factors on building damage and suggestions that may help to revise the classification of current standards. This study can contribute to academic tsunami research by assessing the contribution of different variables to the observed damage using new approaches based on statistical analysis and regression. Moreover, practical applications of these results include understanding of the predominant factors driving tsunami damage to structures, implementation of the relevant variables into the proposed, or alternative model in order to improve current damage predictions by taking into account not only inundation depth, but also variables such as structural material and function of building.
AB - Based on the classification provided by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), the damage level of buildings impacted by the 2011 Great East Japan tsunami can be separated into six levels (from minor damage to washed away). The objective of this paper is to identify the significant predictor variables and the direction of their potential relationship to the damage level in order to create a predicting formula for damage level. This study used the detailed data of damaged buildings in Ishinomaki city, Miyagi prefecture, Japan, collected by MLIT. The explanatory variables tested included the inundation depth, number of floors, structural material, and function of the building. Ordinal regression was applied to model the relationship between the ordinal outcome variable (damage level) and the predictors. The findings indicated that inundation depth, structural material, and function of building were significantly associated with the damage level. In addition to this new type of model, this research provides a valuable insight into the relative influence of different factors on building damage and suggestions that may help to revise the classification of current standards. This study can contribute to academic tsunami research by assessing the contribution of different variables to the observed damage using new approaches based on statistical analysis and regression. Moreover, practical applications of these results include understanding of the predominant factors driving tsunami damage to structures, implementation of the relevant variables into the proposed, or alternative model in order to improve current damage predictions by taking into account not only inundation depth, but also variables such as structural material and function of building.
KW - 2011 Great East Japan tsunami
KW - Building damage level
KW - Ordinal regression
KW - Prediction
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U2 - 10.1007/s11069-014-1081-z
DO - 10.1007/s11069-014-1081-z
M3 - Article
AN - SCOPUS:84905381788
VL - 73
SP - 449
EP - 471
JO - Natural Hazards
JF - Natural Hazards
SN - 0921-030X
IS - 2
ER -