Vulnerability to Earthquake Hazard:Bucharest Case Study,Romania

作     者：Iuliana Armas Dragos Toma-Danila Radu Ionescu Alexandru Gavris 

作者机构：Department of Geomorphology-Pedology-GeomaticsFaculty of GeographyUniversity of Bucharest National Institute for Earth Physics Department of Tourism and GeographyBucharest University of Economic Studies 

出 版 物：《International Journal of Disaster Risk Science》 (国际灾害风险科学学报（英文版）)

年 卷 期：2017年第8卷第2期

页      面：182-195页

核心收录：

学科分类：0709[理学-地质学] 07[理学] 0303[法学-社会学] 0832[工学-食品科学与工程（可授工学、农学学位）] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 070801[理学-固体地球物理学] 0708[理学-地球物理学] 0705[理学-地理学] 0837[工学-安全科学与工程] 0706[理学-大气科学] 0813[工学-建筑学] 0704[理学-天文学] 0833[工学-城乡规划学] 

基　　金：supported by The Executive Unit for Financing the Higher Education and University Researches (UEFISCDI) the REVEAL Project No. 285/2011 the NUCLEU CREATOR Programme, Project No. PN-1635-02-03 

主　　题：Bucharest Romania Seismic loss estimation Seismic risk Spatial multicriteria analysis Vulnerability index 

摘      要：Recent seismic events show that urban areas are increasingly vulnerable to seismic damage,which leads to unprecedented levels of *** are complex systems and as such their analysis requires a good understanding of the interactions between space and the socioeconomic variables characteristic of the inhabitants of urban *** is a clear need to develop and test detailed models that describe the behavior of these interactions under seismic *** article develops an overall vulnerability index to seismic hazard based on a spatial approach applied to Bucharest,Romania,the most earthquake-prone capital in the European *** methodology relies on:(1) spatial post-processed socioeconomic data from the2011 Romanian census through multicriteria analysis;and(2) analytical methods(the Improved Displacement Coefficient Method and custom-defined vulnerability functions)for estimating damage patterns,incorporated in a GIS *** computed vulnerability indices for the128 census tracts of the *** sensitivity assessment tested the robustness of spatially identified patterns of building vulnerability in the face of uncertainty in model *** results show that useful seismic vulnerability indices can be obtained through interdisciplinaryapproaches that enhance less detailed datasets,which leads lead to better targeted mitigation efforts.