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JDR Vol.12 No.6 pp. 1161-1173
doi: 10.20965/jdr.2017.p1161
(2017)

Paper:

Time-Series Analysis of Workload for Support in Rebuilding Disaster Victims’ Lives – Comparison of the 2016 Kumamoto Earthquake with the 2007 Niigataken Chuetsu-oki Earthquake –

Munenari Inoguchi*, Keiko Tamura**, Haruo Hayashi***, and Keisuke Shimizu*

*Shizuoka University
3-5-1 Johoku, Naka-ku, Hamamatsu city, Shizuoka 432-8011, Japan

Corresponding author

**Niigata University, Niigata, Japan

***National Research Institute for Earth Science and Disaster Resilience (NIED), Ibaraki, Japan

Received:
August 17, 2017
Accepted:
November 3, 2017
Online released:
November 29, 2017
Published:
December 1, 2017
Keywords:
Kumamoto Earthquake, disaster victim support, workload, time-series analysis
Abstract

Japan has experienced many disasters. However, the question of when and how much work is generated in support of rebuilding disaster victims’ lives remains unsolved. Considering this situation, this study solves the question through a time-series analysis of daily workload in support of rebuilding the lives of victims of the 2016 Kumamoto Earthquake. In addition, a correlation analysis is conducted through comparison with the case of the 2007 Chuetsu-oki Earthquake that a prior study focused on, and another correlation analysis is conducted between municipalities affected by the Kumamoto Earthquake. These analyses do not indicate the presence of a high correlation in tasks for which the requirements for payment vary depending on the disaster but do indicate the presence of a high correlation between disasters in tasks for which the requirements for payment are uniform, thereby indicating the presence of a possible generalization. In addition, the correlation analysis results of comparisons between municipalities affected by the Kumamoto Earthquake indicate a high correlation between local public entities that have suffered great human and property damage. These results indicate that when a certain condition is met, it is highly likely that daily workload can be estimated.

Cite this article as:
M. Inoguchi, K. Tamura, H. Hayashi, and K. Shimizu, “Time-Series Analysis of Workload for Support in Rebuilding Disaster Victims’ Lives – Comparison of the 2016 Kumamoto Earthquake with the 2007 Niigataken Chuetsu-oki Earthquake –,” J. Disaster Res., Vol.12, No.6, pp. 1161-1173, 2017.
Data files:
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Last updated on Oct. 03, 2018