Hurricane Loss Analysis Based on the Population-Weighted Index

@inproceedings{Kakareko2017HurricaneLA,
  title={Hurricane Loss Analysis Based on the Population-Weighted Index},
  author={Grzegorz Kakareko and Sungmoon Jung and O. Arda Vanli and Amanuel Tecle and Omar Khemici and Mahmoud M. Khater},
  booktitle={Front. Built Environ.},
  year={2017}
}
This paper discusses different measures for quantifying regional hurricane loss. The main measures used in the past are normalized percentage loss and dollar value loss. In this research, we show that these measures are useful but may not properly reflect the size of the population influenced by hurricanes. A new loss measure is proposed that reflects the hurricane impact on people occupying the structure. For demonstrating the differences among these metrics, regional loss analysis was… CONTINUE READING

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A probabilistic-based framework for impact and adaptation assessment of climate change on hurricane damage risks and costs

  • S. Bjarnadottir, Y. Li, M. G. Stewart
  • Struct. Saf. 33, 173–185. doi:10.1016/j. strusafe…
  • 2011
Highly Influential
4 Excerpts

Assessment of damage risks to residential buildings and cost– benefit of mitigation strategies considering hurricane and earthquake hazards

  • Y. Li
  • J. Perform. Construct. Facil. 26, 7–16. doi:10…
  • 2010
Highly Influential
4 Excerpts

Florida Public Hurricane Loss Projection Model Engineering Team

  • K. Gurley, J. Pinelli, C. Subramanian, A. Cope, L. Zhang, J. Murphree
  • Final Report. Miami: International Hurricane…
  • 2005
Highly Influential
4 Excerpts

Predicting the Vulnerability of Typical Residential Buildings to Hurricane Damage

  • A. D. Cope
  • Gainesville: University of Florida.
  • 2004
Highly Influential
16 Excerpts

Shifting economic impacts from weather extremes in the united states: a result of societal changes, not global warming

  • S. A. Changnon
  • Nat. Hazards 29, 273–290. doi:10.1023/A…
  • 2003
Highly Influential
10 Excerpts

Multi-Hazard Loss Estimation Methodology: Technical Manual

  • W. Holmes
  • Washington, DC: Federal Emergency Management…
  • 1999
Highly Influential
10 Excerpts

Case studies of wind damage to domestic and other low-rise buildings,

  • R. Leicester, G. Reardon
  • in Symposium on Natural Hazards in Australia…
  • 1976
Highly Influential
11 Excerpts

The Deadliest, Costliest, and Most Intense United States Tropical Cyclones from 1851 to 2006 (And Other Frequently Requested Hurricane Facts)

  • E. S. Blake, E. N. Rappaport, C. W. Landsea
  • Miami: NOAA/National Weather Service, National…
  • 2007
Highly Influential
4 Excerpts

Natural Hazard Risk Assessment for an Insurance Program

  • D. G. Friedman
  • Hartford: Geneva Papers on Risk and Insurance, 57…
  • 1984
Highly Influential
9 Excerpts

Multi-Hazard Loss Estimation Methodology

  • HAZUS MHMR.
  • FEMA. Available at: http://www.fema.gov
  • 2003
Highly Influential
3 Excerpts

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