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Background: This paper proposes a framework to cope with the lack of data at the time of a disaster by employing … predictive models. The framework can be used for disaster human impact assessment based on the socio-economic characteristics of … Data (PRED) is developed as a decision-making platform based on the Disaster Severity Analysis (DSA) Technique. Conclusions …
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, however, could also play a role in disaster preparedness. In particular, I examine whether governments that are deemed to be … investment in disaster preparedness. I find an inverse U-shaped relationship between repression and casualties, with countries at … either end of the distribution experiencing lower fatalities. -- natural disasters ; government repression ; disaster …
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I analyze damage from hurricane strikes on the United States since 1955. Using machine learning methods to select the most important drivers for damage, I show that large errors in a hurricane's predicted landfall location result in higher damage. This relationship holds across a wide range of...
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, however, could also play a role in disaster preparedness. In particular, I examine whether governments that are deemed to be … investment in disaster preparedness. I find an inverse U-shaped relationship between repression and casualties, with countries at …
Persistent link: https://www.econbiz.de/10013111993