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JDR Vol.14 No.3 pp. 478-488
(2019)
doi: 10.20965/jdr.2019.p0478

Paper:

Quick Estimation Method of Property Damage and Human Casualty in the Event of a Large Earthquake

Takuya Oki, Toshihiro Osaragi, and Yoho Sakamoto

Tokyo Institute of Technology
2-12-1-M1-25 O-okayama, Meguro-ku, Tokyo 152-8550, Japan

Corresponding author

Received:
November 11, 2018
Accepted:
February 2, 2019
Published:
March 28, 2019
Keywords:
large earthquake, property damage, human casualty, local urban environment, multiple regression analysis
Abstract

Techniques for quickly and easily estimating wide-area damage are required to support various activities for reducing damage in the event of a large earthquake. In this paper, using a wide-area evacuation simulator, we estimate property damage and human casualties in 32 densely built-up wooden residential areas in Tokyo, assuming a large earthquake. Furthermore, the relationships among local urban environment, property damage, and human casualties are analyzed using multiple regression analysis.

Cite this article as:
T. Oki, T. Osaragi, and Y. Sakamoto, “Quick Estimation Method of Property Damage and Human Casualty in the Event of a Large Earthquake,” J. Disaster Res., Vol.14, No.3, pp. 478-488, 2019.
Data files:
References
  1. [1] T. Oki, T. Osaragi, and Y. Sakamoto, “Simulation Analysis on Relationships among Local Urban Characteristics, Property Damage, and Human Casualty in a Large Earthquake,” Papers and Proc. of the Geographic Information Systems Association, Vol.27, B-2-4, 2018 (in Japanese).
  2. [2] S. Iwase and F. Yamazaki, “Simplified Estimation Method for Building Damage due to Earthquakes,” J. of Japan Association for Earthquake Engineering, Vol.15, No.7, pp. 7_378-7_389, 2015 (in Japanese).
  3. [3] National Research Institute for Earth Science and Disaster Resilience (NIED), “Real-time Damage Estimation System and Disaster Prevention Information Sharing System among Government Ministries (SIP4D) and Future Developments (Part 1): Development of Real-time Damage Estimation, Disaster Information Collection, Analysis, and Utilization System,” SIP Disaster Prevention Symp., 2017, https://www.jst.go.jp/sip/dl/k08/sympo2017/koen_08.pdf (in Japanese) [accessed January 14, 2019]
  4. [4] T. Osaragi and T. Oki, “Wide-Area Evacuation Simulation Incorporating Rescue and Firefighting by Local Residents,” J. Disaster Res., Vol.12, No.2, pp. 296-310, 2017.
  5. [5] Y. Sakamoto, T. Osaragi, and T. Oki, “Wide-Area Evacuation Simulator and Comparison of Property and Human Damage at a Large Earthquake among Multiple Districts,” Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan, F-1, pp. 1012-1013, 2018 (in Japanese).
  6. [6] N. Hirokawa and T. Osaragi, “Earthquake Disaster Simulation System: Integration of Models for Building Collapse, Road Blockage, and Fire Spread,” J. Disaster Res., Vol.11, No.2, pp. 175-187, 2016.
  7. [7] T. Furuya and S. Sadohara, “Modelling and Simulation of Rescue Activity by the Local Residents in the Seismic Disaster,” ESRI Int. User Conf., 2004.
  8. [8] Tokyo Metropolitan Government, “Promotion Plan for Disaster Prevention City (revised in March, 2016),” 2016, http://www.toshiseibi.metro.tokyo.jp/bosai/bosai4.htm (in Japanese) [accessed November 6, 2018]
  9. [9] Tokyo Metropolitan Government, “The 8th Community Earthquake Risk Assessment Study,” 2018, http://www.toshiseibi.metro.tokyo.jp/bosai/chousa_6/home.htm (in Japanese) [accessed November 6, 2018]
  10. [10] Tokyo Metropolitan Government, “Estimation of Earthquake Damage in Tokyo,” 2012, http://www.bousai.metro.tokyo.jp/taisaku/1000902/1000401.html (in Japanese) [accessed November 6, 2018]

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Last updated on Apr. 22, 2019