Hurricane vulnerability modeling: Development and future trends

Abstract Catastrophe models help to evaluate the vulnerability of the building stock exposed to a hazard. This paper presents a history of the hurricane risk models in Florida, and discusses their relationship to the building codes. The first models were econometric, and failed to predict the insured building losses produced by hurricane Andrew. This led to a change in the loss projection paradigm and to the advent of modern catastrophe modeling. Advantages and challenges of the current methodologies are discussed, including the quality of input, validation, uncertainty, and scope of the outputs. The paper concludes with a brief overview of current and future research in vulnerability modeling.

[1]  D. G. Friedman Natural Hazard Risk Assessment for an Insurance Program , 1984 .

[2]  Laurie A. Johnson,et al.  The U.S. Hurricane Coasts: Increasingly Vulnerable? , 2007 .

[3]  Shiraj Bhinderwala Insurance Loss Analysis of Single Family Dwellings Damaged in Hurricane Andrew , 1995 .

[4]  Forrest J. Masters,et al.  Hurricane hazard modeling: The past, present, and future , 2009 .

[5]  Philip J. Schneider,et al.  HAZUS — Its Development and Its Future , 2006 .

[6]  Jean-Paul Pinelli,et al.  Validation of a probabilistic model for hurricane insurance loss projections in Florida , 2008, Reliab. Eng. Syst. Saf..

[7]  James R. McDonald,et al.  The development of wind damage bands for buildings , 2000 .

[8]  Lawrence A. Twisdale,et al.  Analysis of hurricane pressure cycling following missile impact for residential structures , 2003 .

[9]  P. R. Sparks,et al.  Wind speeds in tropical cyclones and associated insurance losses , 2003 .

[10]  Stephen J. Collier Enacting catastrophe: preparedness, insurance, budgetary rationalization , 2008 .

[11]  Jason Lin,et al.  HAZUS-MH Hurricane Model Methodology. II: Damage and Loss Estimation , 2006 .

[12]  James R. Martin,et al.  Technical Council on Lifeline Earthquake Engineering Monograph , 1999 .

[13]  Nirav Shah,et al.  The vulnerability of residential window glass to lightweight windborne debris , 2010 .

[14]  Philip R. Berke,et al.  A computer system for hurricane hazard assessment , 1984 .

[15]  Ronald L. Iman,et al.  Assessing hurricane effects. Part 1. Sensitivity analysis , 2002, Reliab. Eng. Syst. Saf..

[16]  Rh Leicester,et al.  A Statistical Analysis of the Structural Damage by Cyclone Tracy , 1976 .

[17]  Ronald L. Iman,et al.  Assessing hurricane effects. Part 2. Uncertainty analysis , 2002, Reliab. Eng. Syst. Saf..

[18]  Wimal Suaris,et al.  Residential Construction Failures Caused by Hurricane Andrew , 1995 .

[19]  Mark Edwards,et al.  Development of methods for assessing the vulnerability of Australian residential building stock to severe wind , 2010 .

[20]  K. C. Kapur,et al.  Methodology for Assessing the Resilience of Networked Infrastructure , 2009, IEEE Systems Journal.

[21]  Theodore Steinberg,et al.  Do-It-YourseIf Deathscape: The Unnatural History of Natural Disaster in South Florida , 1997, Environmental History.

[22]  Gary Y.K. Chock Modeling of hurricane damage for Hawaii residential construction , 2005 .

[23]  Stephanie E. Chang,et al.  Empirical Framework for Characterizing Infrastructure Failure Interdependencies , 2007 .

[24]  Mark A. Saunders,et al.  Normalized Hurricane Damage in the United States: 1900–2005 , 2008 .

[25]  Jean-Paul Pinelli,et al.  Predicting losses of residential structures in the state of Florida by the public hurricane loss evaluation model , 2010 .

[26]  Susan Tiefenbrun FORT MYERS (Florida) , 2012 .

[27]  Jose D. Mitrani,et al.  Critical Issues in Post Disaster Code Enforcement , 1994 .

[28]  B. Riley,et al.  EMERGENCY MANAGEMENT AGENCY , 2009 .

[29]  T. V. S. R. Appa Rao,et al.  Knowledge-based expert system for damage assessment and vulnerability analysis of structures subjected to cyclones , 1997 .

[30]  Norio Okada,et al.  A multi-regional general equilibrium analysis taking account of disaster risk , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[31]  C. T. Salzano,et al.  Water penetration resistance of residential window installation options for hurricane-prone areas , 2010 .

[32]  F. D. Beresford,et al.  AN ASSESSMENT OF POTENTIAL CYCLONE DAMAGE TO DWELLINGS IN AUSTRALIA , 1980 .

[33]  Jean-Paul Pinelli,et al.  Assessment of hurricane-induced internal damage to low-rise buildings in the Florida Public Hurricane Loss Model , 2012 .

[34]  N. O. Nawari The Role of Data Mining Techniques in the Prediction of Hurricane Damages , 2008 .

[35]  Edward N. Rappaport,et al.  THE DEADLIEST, COSTLIEST, AND MOST INTENSE UNITED STATES TROPICAL CYCLONES FROM 1851 TO 2004 (AND OTHER FREQUENTLY REQUESTED HURRICANE FACTS) , 2005 .

[36]  David V. Rosowsky,et al.  Long-term hurricane risk assessment and expected damage to residential structures , 2001, Reliab. Eng. Syst. Saf..

[37]  N. Stubbs,et al.  A Damage Simulation Model for Buildings and Contents in a Hurricane Environment , 1996 .

[38]  Shahid Hamid,et al.  State of Florida hurricane loss projection model: Atmospheric science component , 2005 .

[39]  James R. McDonald,et al.  Procedure for Predicting Wind Damage to Buildings , 1981 .

[40]  Clarence D. Smith THE DESTRUCTIVE STORM OF NOVEMBER 25–27, 1950 , 1950 .

[41]  Kishor C. Mehta Wind load history: ANSI A58.1-1972 to ASCE 7-05 , 2010 .

[42]  Ronald L Iman,et al.  Uncertainty Analysis for Computer Model Projections of Hurricane Losses , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[43]  Takeshi Fujii,et al.  A Predicting Method of Typhoon Wind Damages , 1996 .

[44]  Mohammed S. Khan,et al.  Design and Construction Deficiencies and Building Code Adherence , 1994 .

[45]  M. E. Johnson,et al.  Hurricane Loss Estimation Models: Opportunities for Improving the State of the Art , 2004 .

[46]  Dorothy Reed,et al.  Multi-Hazard Analysis of Utility Lifeline Systems , 1999 .

[47]  R. Howard,et al.  The decision to seed hurricanes. , 1972, Science.

[48]  Paul Fronstin,et al.  The Determinants of Residential Property Damage Caused by Hurricane Andrew , 1994 .

[49]  John W. van de Lindt,et al.  Methodology for Wind-Driven Rainwater Intrusion Fragilities for Light-Frame Wood Roof Systems , 2010 .

[50]  Jean-Paul Pinelli,et al.  Vulnerability of mid-high rise commercial-residential buildings in the Florida Public Hurricane Loss Model , 2009 .

[51]  Forrest J. Masters,et al.  Post-2004 Hurricane Field Survey of Residential Building Performance , 2011 .

[52]  T. L. Murlidharan,et al.  Handling Uncertainties in Knowledge Modeling and Acquisition for the Development of a Knowledge‐Based System , 1999 .

[53]  Means Residential cost data , 1982 .

[54]  Ronald L Iman,et al.  Sensitivity Analysis for Computer Model Projections of Hurricane Losses , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[55]  Lloyd V. Urban,et al.  Report of Activities , 1988 .

[56]  Rachel A. Davidson,et al.  Quantitative Model to Forecast Changes in Hurricane Vulnerability of Regional Building Inventory , 2003 .

[57]  F. Nateghi-A Assessment of wind speeds that damage buildings , 1996 .

[58]  Dorothea Hilhorst,et al.  Mapping Vulnerability: Disasters, Development and People , 2004 .

[59]  A. C Khanduri,et al.  Vulnerability of buildings to windstorms and insurance loss estimation , 2003 .