灾害学2012，Vol.27Issue(1)：98-100,110,4.
自然灾害社会脆弱性评估研究——以上海市为例
Assessment of Social Vulnerability to Natural Disasters:A Case Study of Shanghai
摘要
Abstract
A approach combining with the Projection Pursuit Classification Model (PPC) and Real Coding based Acceleration Genetic Algorithm (RAGA) is used to evaluate social vulnerability. A trial application of this method is made to Shanghai, China. The results show that ( 1) the social vulnerability of Chongming county, Baoshan district and Jinshan district is higher than that in other regions; ( 2) the social vulnerability of Huangpu district is the lowest, and then is Xuhui distric and Jingan district; (3 ) in Shanghai, the social vulnerability of fringe area is higher than that of the center.关键词
自然灾害/社会脆弱性/投影寻踪聚类模型/实数编码加速遗传算法(RAGA)/上海市Key words
natural hazards/ social vulnerability/ projection pursuit classification model ( PPC ) / Real Coding based Acceleration Genetic Algorithm (RAGA) / Shanghai分类
资源环境引用本文复制引用
陈磊,徐伟,周忻,马玉玲,袁艺,钱新,葛怡..自然灾害社会脆弱性评估研究——以上海市为例[J].灾害学,2012,27(1):98-100,110,4.基金项目
国家自然科学基金项目(40701005) （40701005）
国家科技支撑计划课题(2008BAK50B07) （2008BAK50B07）
国家减灾中心项目 （）
