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JDR Vol.16 No.2 pp. 275-286
(2021)
doi: 10.20965/jdr.2021.p0275

Paper:

Developing an Automated System for Simple Estimation of the Direct Damage Amounts from Earthquakes

Masaki Ikeda*,†, Qinglin Cui*,**, Toshihisa Toyoda**, Hiromitsu Nakamura*, and Hiroyuki Fujiwara*

*National Research Institute for Earth Science and Disaster Resilience (NIED)
3-1 Tennodai, Tsukuba, Ibaraki 305-0006, Japan

Corresponding author

**Center for Social Systems Innovation (CFSSI), Kobe University, Hyogo, Japan

Received:
October 31, 2019
Accepted:
November 30, 2020
Published:
February 1, 2021
Keywords:
direct damage amount, autonomous system, real time estimation, earthquake
Abstract

Earthquakes damage physical assets, such as houses, public infrastructure, fields, factories, facilities, as well as inventory of timbers, crops, or products. A direct damage amount is the primary evidence for financial measures to restore and reconstruct the affected areas. Therefore, from a policy perspective, it is essential to estimate it quickly and accurately. Cui et al. have proposed a simple method for estimating direct damages [1, 2]. This study aimed to build a prototype of automatic estimation system and discuss its social implementation. As a result, we succeeded in estimating three earthquakes – the 2018 Osaka Prefecture Northern Earthquake, 2018 Hokkaido Iburi Earthquake, and 2019 Yamagata-oki Earthquake – damage amounts automatically and defining some technical requirements for development. On the other hand, it is necessary to replace the Minryoku index, which is used for Cui’s estimation method and no longer being updated, by new physical assets quantity index, which is continuously updatable. Moreover, the estimation accuracy must be evaluated and improved in finer units of space.

Cite this article as:
Masaki Ikeda, Qinglin Cui, Toshihisa Toyoda, Hiromitsu Nakamura, and Hiroyuki Fujiwara, “Developing an Automated System for Simple Estimation of the Direct Damage Amounts from Earthquakes,” J. Disaster Res., Vol.16, No.2, pp. 275-286, 2021.
Data files:
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Last updated on Aug. 02, 2021