After an earthquake occurs, field surveys are conducted by relevant authorities to assess the damage suffered by buildings. The field survey is essential as it ensures the safety of residents and provides the necessary information to local authorities for post-disaster recovery. In Japan, a primary (mandatory) exterior survey is conducted first, and a secondary (voluntary) interior survey is performed subsequently if the residents request a reinvestigation. However, a major challenge associated with field surveys is the substantial time cost of determining the damage grades. Moreover, an interior survey is performed only after receiving the reinvestigation request from occupants, which further delays the decision-making process. In addition, the risk of incorrect damage estimation during the exterior survey must be considered because underestimating the damage can endanger the residents. Therefore, in this study, a three-part analysis (Parts I–III), where each part corresponds to a distinct stage of the standard damage assessment procedure, was performed to characterize the relationship between the building parameters and damage grades at different stages. To further explore the possibility of accelerating decision-making, predictive modeling was performed in each part. The Part I results indicate that estimating the final damage grade for all buildings immediately after the exterior survey is similar to treating the exterior survey results as the final ones. The Part II results show that buildings that potentially require an interior survey can be predicted with reasonable accuracy after the exterior survey. In buildings for which reinvestigations have been requested, Part III demonstrates that the risk of underestimation in the exterior survey can be predicted reliably.
Skip Nav Destination
Article navigation
Research Article|
February 01, 2022
Statistical analysis and modeling to examine the exterior and interior building damage pertaining to the 2016 Kumamoto earthquake
Haoyi Xiu;
Haoyi Xiu
1
Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama, Japan
Search for other works by this author on:
Takayuki Shinohara;
Takayuki Shinohara
1
Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama, Japan
Search for other works by this author on:
Masashi Matsuoka, M. EERI;
1
Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama, JapanMasashi Matsuoka, Department of Architecture and Building Engineering, Tokyo Institute of Technology, 4259-G3-2 Nagatsuta-cho, Midori-ku, Yokohama 226-8502, Kanagawa, Japan. Email: matsuoka.m.ab@m.titech.ac.jp
Search for other works by this author on:
Munenari Inoguchi;
Munenari Inoguchi
2
Department of Urban Design, University of Toyama, Toyama, Japan
Search for other works by this author on:
Ken Kawabe;
Ken Kawabe
3
MS&AD InterRisk Research & Consulting, Inc., Tokyo, Japan
Search for other works by this author on:
Kei Horie
Kei Horie
3
MS&AD InterRisk Research & Consulting, Inc., Tokyo, Japan
Search for other works by this author on:
Earthquake Spectra (2022) 38 (1): 310–330.
Article history
received:
12 Aug 2020
accepted:
07 Jul 2021
first online:
10 Feb 2022
Citation
Haoyi Xiu, Takayuki Shinohara, Masashi Matsuoka, Munenari Inoguchi, Ken Kawabe, Kei Horie; Statistical analysis and modeling to examine the exterior and interior building damage pertaining to the 2016 Kumamoto earthquake. Earthquake Spectra 2022;; 38 (1): 310–330. doi: https://doi.org/10.1177/87552930211035408
Download citation file:
You could not be signed in. Please check your email address / username and password and try again.
Email alerts
Index Terms/Descriptors
Latitude & Longitude