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JDR Vol.6 No.2 pp. 193-203
(2011)
doi: 10.20965/jdr.2011.p0193

Paper:

Disaster Prevention in Industrial Society – Principal Features of Disaster

Mamoru Ozawa* and Yoji Shibutani**

*Faculty of Safety Science, Kansai University, 7-1 Hakubai-cho, Takatsuki, Osaka 569-1098, Japan

**Department of Mechanical Engineering, Osaka University, 2-1 Yamada-oka, Suita, Osaka 565-0871, Japan

Received:
November 10, 2010
Accepted:
December 16, 2010
Published:
April 1, 2011
Keywords:
disaster prevention, spatiotemporal evolution, CA simulation, heinrich’s law, weibull distribution
Abstract

Disasters have several principal features, appeared when neglected detailed and unique behaviors, consistent throughout events, which we discuss based on practical disaster data. The principal features we focused on are dynamics of technologies and society, spatiotemporal evolution and diversity in scenarios leading to disasters, and probability distribution based on disaster scale. Among these features, the probability distribution is normalized to fall into a specified curve consistent with theWeibull distribution and Heinrich’s law. Numerical simulation via cellular automata (CA) simulation with a metaphor model gives Heinrich’s law under the specified constraint, suggesting that the Weibull distribution or Heinrich’s law gives a representative statistical characteristics universal throughout disasters.

Cite this article as:
Mamoru Ozawa and Yoji Shibutani, “Disaster Prevention in Industrial Society – Principal Features of Disaster,” J. Disaster Res., Vol.6, No.2, pp. 193-203, 2011.
Data files:
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