典型文献
A Building Classification System for Multi-hazard Risk Assessment
文献摘要：
A uniform and comprehensive classification system,often referred to as taxonomy,is fundamental for the characterization of building portfolios for natural haz-ard risk assessment.A building taxonomy characterizes assets according to attributes that can influence the likeli-hood of damage due to the effects of natural hazards.Within the scope of the Global Earthquake Model(GEM)initiative,a building taxonomy(GEM Building Taxonomy V2.0)was developed with the goal of classifying buildings according to their seismic vulnerability.This taxonomy contained 13 building attributes,including the main material of construction,lateral load-resisting system,date of construction and number of stories.Since its release in 2012,the taxonomy has been used by hundreds of experts working on exposure and risk modeling efforts.These applications allowed the identification of several limita-tions,which led to the improvement and expansion of this taxonomy into a new classification system compatible with multi-hazard risk assessment.This expanded taxonomy(named GED4ALL)includes more attributes and several details relevant for buildings exposed to natural hazards beyond earthquakes.GED4ALL has been applied in sev-eral international initiatives,enabling the identification of the most common building classes in the world,and facilitating compatibility between exposure models and databases of vulnerability and damage databases.
文献关键词：
中图分类号：
作者姓名：
Vitor Silva;Svetlana Brzev;Charles Scawthorn;Catalina Yepes;Jamal Dabbeek;Helen Crowley
作者机构：
Risk Section,Global Earthquake Model,27100 Pavia,Italy;Department of Civil Engineering,University of British Columbia,Vancouver,BC V6T 1Z4,Canada;SPA Risk LLC,Denver,CO 80207,USA;Department of Civil Engineering,An-Najah National University,Nablus,State of Palestine;Seismic Risk Section,27100 Eucentre,Pavia,Italy
文献出处：
引用格式：
[1]Vitor Silva;Svetlana Brzev;Charles Scawthorn;Catalina Yepes;Jamal Dabbeek;Helen Crowley-.A Building Classification System for Multi-hazard Risk Assessment)[J].国际灾害风险科学学报（英文版）,2022(02):161-177
A类：
likeli,GED4ALL
B类：
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AB值：
0.587847
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