Natural disaster management mechanisms for probabilistic earthquake loss

Chun-Pin Tseng and Cheng-Wu Chen ()

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2012, vol. 60, issue 3, 1055-1063

Abstract: High rates of urbanization, environmental degradation, and industrial development have affected all nations worldwide, but in disaster-prone areas, the impact is even greater serving to increase the extent of damage from natural catastrophes. As a result of the global nature of environmental change, modern economies have had to adapt, and sustainability is an extremely important issue. Clearly, natural disasters will affect the competitiveness of an enterprise. This study focuses on natural disaster management in an area in which the direct risks are posed by the physical effects of natural disasters such as floods, droughts, tsunamis, and rising sea levels. On a local level, the potential impact of a disaster on a company and how much damage (loss) it causes to facilities and future business are of concern. Each company must make plans to mitigate predictable risk. Risk assessments must be completed in a timely manner. Disaster management is also very important to national policy. Natural disaster management mechanisms can include strategies for disaster prevention, early warning (prediction) systems, disaster mitigation, preparedness and response, and human resource development. Both governmental administration (public) and private organizations should participate in these programs. Participation of the local community is especially important for successful disaster mitigation, preparation for, and the implementations of such measures. Our focus in this study is a preliminary proposal for developing an efficient probabilistic approach to facilitate design optimization that involves probabilistic constraints. Copyright Springer Science+Business Media B.V. 2012

Keywords: Hazard analysis; Dynamic financial analysis; Risk control; Computer-aided assessment (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/s11069-011-9889-2

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