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contributor authorGonzalo Pita
contributor authorJean-Paul Pinelli
contributor authorKurt Gurley
contributor authorJudith Mitrani-Reiser
date accessioned2017-05-08T22:23:34Z
date available2017-05-08T22:23:34Z
date copyrightMay 2015
date issued2015
identifier other43930042.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/79466
description abstractThis paper presents a comprehensive review of methods to assess building vulnerability for hurricane catastrophe models. The review identified five main types of assessment approaches judging by the underlying methodology: past-loss data, enhanced damage data, heuristic, physics, and simulation. The applicability of past-loss data-only vulnerability methods proved insufficient for the diversity of situations insurance companies faced. Therefore, modelers complemented this method with engineering and meteorology expert knowledge; these are the enhanced-data models. Expert opinion and subjective probabilities drive the heuristic models; these were short lived in the United States, but are still used when data are scarce. Component-based methods were developed as a more realistic alternative to enhanced-data models by assessing vulnerability within an engineering framework complemented with expert opinion. Simulation models enhanced the physical models with a probabilistic simulation of the wind-structure interaction and more realistic assessment of the hazard. This paper also reviews some influential postdisaster studies utilized for validation. In addition, this paper presents a temporal and spatial map showing linkages between models. The development of interior damage models, as well as the future of vulnerability models and possible applications, is discussed.
publisherAmerican Society of Civil Engineers
titleState of the Art of Hurricane Vulnerability Estimation Methods: A Review
typeJournal Paper
journal volume16
journal issue2
journal titleNatural Hazards Review
identifier doi10.1061/(ASCE)NH.1527-6996.0000153
treeNatural Hazards Review:;2015:;Volume ( 016 ):;issue: 002
contenttypeFulltext


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