HAZUS-MH Hurricane Model Methodology. II: Damage and Loss Estimation

Vickery, Peter J.; Skerlj, Peter F.; Lin, Jason; Twisdale, Lawrence A.; Young, Michael A.; Lavelle, Francis M.

doi:10.1061/(asce)1527-6988(2006)7:2(94)

Cited by 248 publications

(89 citation statements)

References 4 publications

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“…After several major hurricane and earthquake events worldwide, including Hurricane Hugo in 1989 and Hurricane Andrew in 1992, these firms made their models more sophisticated and their exposure databases more comprehensive (Cummins, 2007). Other companies subsequently developed in-house models, and US federal and state government supported development of two free open-source models: HAZUS-MH (Vickery et al, 2000a(Vickery et al, , 2000b(Vickery et al, , 2006a(Vickery et al, , 2006bFEMA, 2007) and the Florida Public Hurricane Loss Model (FPHLM) (Powell et al, 2005;Pinelli et al, 2008). The details and assumptions of the free models are available in the peerreview literature and technical documents, because they are intended for risk mitigation, regulation and emergency preparation, but the majority of cat models are proprietary and intended for pricing insurance or reinsurance policies, so their details are not public.…”

Section: Discussionmentioning

confidence: 99%

Risk and uncertainty in hydrometeorological hazards

Edwards¹,

Challenor²

2013

Risk and Uncertainty Assessment for Natural Hazards

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Section: Discussionmentioning

confidence: 99%

Risk and uncertainty in hydrometeorological hazards

Edwards¹,

Challenor²

2013

Risk and Uncertainty Assessment for Natural Hazards

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“…The personalized risk and vulnerability assessment of ResRe requires an engineering-based loss model to establish the relationship between wind speed and expected monetary losses for a given residential structure type. This is publicly available in the HAZUS-HM hurricane catastrophe model, a peer-reviewed, multi-hazard catastrophe model distributed by Federal Emergency Management Agency (FEMA) (Vickery et al 2006). A primary component of HAZUS-HM is a library of loss functions that relate hurricane wind speed and expected building losses (normalized to the value of the home) for various building types.…”

Section: Development Of a Mobile Applicationmentioning

confidence: 99%

A vulnerability assessment tool for residential structures and extreme wind events

Smith¹,

Roueche²,

Thompson³

et al. 2015

Proceedings of the Second International Conference on Performance-Based and Life-Cycle Structural Engineering (PLSE 2015)

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Studies of hurricane damage to residential buildings confirm that the risk of wind and/or water damage related losses can be mitigated via retrofit solutions. However, adoption of appropriate retrofits by homeowners has been limited despite its obvious benefits. For several reasons, including high cost of retrofitting, the practical difficulty of implementing upgrades, and other homeowner priorities, the level of structural retrofits remain low. This paper proposes a performance-based design approach to retrofitting, targeted for residential homeowners (and their construction team) to advise on incremental retrofits that ultimately result in desired performance targets for windresistant houses. To specifically engage the homeowner, a user-friendly smartphone application is developed that evaluates the wind resistance and vulnerability of existing homes. The app provides each homeowner an individualized vulnerability assessment, while engaging and educating them on the effects of structural systems and building characteristics on damage and on the options for retrofits and costs associated with the work. The vulnerability assessment is determined using a database of fragility curves, developed originally for the FEMA's HAZUS-MH program, and adapted for this use. The analysis yields the top three recommended retrofits for each house as-is, and its expected hurricane-induced economic losses compared against the predicted loss if all the retrofits were conducted. Beta trials of the mobile app will be conducted in at-risk coastal communities in Florida, USA. The authors suggest that direct engagement of homeowners in identifying wind mitigation techniques and solutions may yield more positive outcomes than traditional communication approach and it may eventually increase the number of building retrofits.

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“…The approaches to loss estimation are mostly probabilistic (Jain, Davidson, and Rosowsky 2005). The most notable structural loss estimation functions were given by Vickery et al (2006) for developing a loss estimation methodology that was implemented in HAZUS for hurricanes, and by Cimellaro, Reinhorn, and Bruneau (2010), who expressed losses as a function of intensity of an earthquake and recovery time. A detailed explanation of structural loss represented by different researchers was given by Eren Tokgoz (2012).…”

Section: Structural Loss Estimation Functionmentioning

confidence: 99%

Resilience quantification and its application to a residential building subject to hurricane winds

Tokgoz

Gheorghe

2013

Int J Disaster Risk Sci

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In order to overcome negative consequences of a disaster, buildings and infrastructures need to be resilient. After a disaster occurs, they must get back to their normal operations as quickly as possible. Buildings and infrastructures should incorporate both pre-event (preparedness and mitigation) and post-event (response and recovery) resilience activities to minimize negative effects of a disaster. Quantitative approaches for measuring resilience for buildings and infrastructures need to be developed. A proposed methodology for quantification of resilience of a given building type based on different hurricane categories is presented. The formulation for the resilience quantification is based on a model embedding several distinct parameters (for example, structural loss ratios, conditional probabilities of exceeding for damage states, estimated and actual recovery times, wind speed probability). The proposed resilience formulation is applied to a residential building type selected from HAZUS. Numerical results of resilience for the selected residential building type against Category 1, 2, and 3 hurricanes are presented in a dashboard representation. Resilience performance indicators between different types of buildings, which are identical except for their roof types, have been evaluated in order to present applicability of the proposed methodology.

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HAZUS-MH Hurricane Model Methodology. II: Damage and Loss Estimation

Cited by 248 publications

References 4 publications

Risk and uncertainty in hydrometeorological hazards

Risk and uncertainty in hydrometeorological hazards

A vulnerability assessment tool for residential structures and extreme wind events

Resilience quantification and its application to a residential building subject to hurricane winds

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