Advertisement

Hurricane Loss Estimation Model

  • Jean-Paul Pinelli
  • Josh Murphree
  • Chelakara Subramanian
  • Kurt Gurley
  • Anne Cope
  • Shahid Hamid
  • Sneh Gulati
Conference paper

Abstract

The paper presents a methodology to predict hurricane insurance losses for the State of Florida on an annualized basis and for predefined scenarios. Although several loss prediction commercial products exist in the market, this is one of the first public models entirely accessible for scrutiny to the scientific community. The model incorporates the latest state of the art techniques in hurricane prediction, and vulnerability modeling based on engineering criteria. Although the model was developed for Florida, it is applicable to any hurricane prone region. The methodology can also be extended to other types of hazards.

Keywords

Wind Speed Monte Carlo Monte Carlo Simulation Insurance Portfolio Damage Ratio 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Cope, A., Gurley, K., Pinelli, J., Hamid, S.. Simulation model for wind damage predictions in Florida, Proc. 11th ICWE, Texas Tech Lubbock TX, 2003Google Scholar
  2. 2.
    Florida Building Code, Tallahassee, FL, 2001Google Scholar
  3. 3.
    Lavelle, F., Vickery, P. J., Schauer, B., Twisdale, L. A., Laatsch, E.. “HAZUS-MH Hurricane Model,” Proc, 11th ICWE, Texas Tech, Lubbock, TX, 2003Google Scholar
  4. 4.
    Pinelli, J-P., Subramanian, C., Zhang, L., et al. “A Model to Predict Hurricanes Induced Losses for Residential Structure,” Proc, ESREL03, Maastricht, 2003.Google Scholar
  5. 5.
    Pinelli, J.-P., Zhang, L., Subramanian, C., et al. “Classification of Structural Models for Wind Damage in Florida,” Proc, 11th ICWE, Lubbock, TX, 2003.Google Scholar
  6. 6.
    Powell, M., Soukup, G., Morisseau, N., et al., “Florida Hurricane Loss Projection Model: Atmospheric Science Component,” Proc., 11th ICWE, Lubbock, TX, 2003Google Scholar
  7. 7.
    Russel, J., 2004 National Renovation & Insurance Repair Estimator, Craftsman Book Company, Carlsbad CA, October 2003Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Jean-Paul Pinelli
    • 1
  • Josh Murphree
    • 1
  • Chelakara Subramanian
    • 1
  • Kurt Gurley
    • 2
  • Anne Cope
    • 2
  • Shahid Hamid
    • 3
  • Sneh Gulati
    • 3
  1. 1.Florida Institute of TechnologyMelbourneUSA
  2. 2.University of FloridaGainesvilleUSA
  3. 3.Florida International UniversityMiamiUSA

Personalised recommendations