Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/nhessd-1-3813-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
06 Aug 2013
Review status
This discussion paper has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The revised manuscript was not accepted.
Predicting the Texas Windstorm Insurance Association claim payout of commercial buildings from Hurricane Ike
J. M. Kim1, P. K. Woods1, Y. J. Park2, and K. Son3 1Texas A&M University, Department of Construction Science, College Station, TX, USA
2Korea Military Academy, Department of Construction Engineering and Environmental Sciences, Seoul, Republic of Korea
3University of Ulsan, School of Architecture, Ulsan, Republic of Korea
Abstract. Following growing public awareness of the danger from hurricanes and tremendous demands for analysis of loss, many researchers have conducted studies to develop hurricane damage analysis methods. Although researchers have identified the significant indicators, there currently is no comprehensive research for identifying the relationship among the vulnerabilities, natural disasters, and economic losses associated with individual buildings. To address this lack of research, this study will identify vulnerabilities and hurricane indicators, develop metrics to measure the influence of economic losses from hurricanes, and visualize the spatial distribution of vulnerability to evaluate overall hurricane damage. This paper has utilized the Geographic Information System to facilitate collecting and managing data, and has combined vulnerability factors to assess the financial losses suffered by Texas coastal counties. A multiple linear regression method has been applied to develop hurricane economic damage predicting models. To reflect the pecuniary loss, insured loss payment was used as the dependent variable to predict the actual financial damage. Geographical vulnerability indicators, built environment vulnerability indicators, and hurricane indicators were all used as independent variables. Accordingly, the models and findings may possibly provide vital references for government agencies, emergency planners, and insurance companies hoping to predict hurricane damage.

Citation: Kim, J. M., Woods, P. K., Park, Y. J., and Son, K.: Predicting the Texas Windstorm Insurance Association claim payout of commercial buildings from Hurricane Ike, Nat. Hazards Earth Syst. Sci. Discuss., 1, 3813-3855, doi:10.5194/nhessd-1-3813-2013, 2013.
J. M. Kim et al.
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC C1096: 'Review', David Etkin, 06 Sep 2013 Printer-friendly Version Supplement 
AC C1267: 'Reponse to the reviewer's comment', Kiyoung Son, 27 Sep 2013 Printer-friendly Version Supplement 
 
RC C1258: 'comments', Anonymous Referee #2, 26 Sep 2013 Printer-friendly Version Supplement 
AC C1414: 'Reponse to the reviewer's comment', Kiyoung Son, 11 Oct 2013 Printer-friendly Version Supplement 
J. M. Kim et al.
J. M. Kim et al.

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