|本期目录/Table of Contents|

[1]何亚伯,汪洋,李祎琛,等.基于改进DEA交叉效率模型的洪水灾害区域脆弱性评价[J].中国安全生产科学技术,2016,12(5):86-90.[doi:10.11731/j.issn.1673-193x.2016.05.015]
 HE Yabo,WANG Yang,LI Yichen,et al.Evaluation on regional vulnerability of flood disaster based on improved DEA overlapping efficiency model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(5):86-90.[doi:10.11731/j.issn.1673-193x.2016.05.015]
点击复制

基于改进DEA交叉效率模型的洪水灾害区域脆弱性评价
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
12
期数:
2016年5期
页码:
86-90
栏目:
现代职业安全卫生管理与技术
出版日期:
2016-05-30

文章信息/Info

Title:
Evaluation on regional vulnerability of flood disaster based on improved DEA overlapping efficiency model
作者:
何亚伯汪洋李祎琛周又又
(武汉大学 土木建筑工程学院,湖北 武汉 430072)
Author(s):
HE Yabo WANG Yang LI Yichen ZHOU Youyou
(School of Civil and Architectural Engineering, Wuhan University, Wuhan Hubei 430072, China)
关键词:
洪水灾害区域脆弱性DEA交叉效率模型熵权法
Keywords:
flood disaster regional vulnerability DEA (data envelopment analysis) overlapping efficiency model entropy weight method
分类号:
X92
DOI:
10.11731/j.issn.1673-193x.2016.05.015
文献标志码:
A
摘要:
为了评价洪水灾害区域脆弱性,提出了应用改进DEA交叉效率模型和熵权法相结合的洪水灾害区域脆弱性评价方法。首先,在洪灾形成理论的基础上,构建洪灾区域脆弱性指标体系和评价标准;其次,应用改进DEA交叉效率模型计算不同区域的成灾效率,利用熵权法计算权重集结全局成灾效率。根据成灾效率的实际意义分析不同区域脆弱性的相对大小。最后,选取我国各省份洪灾作为实证分析的研究对象。研究结果表明:该方法能够准确评价区域洪灾脆弱性程度,评价结果与实际情况一致,具有较好的适用性。
Abstract:
An evaluation method based on the combination of improved DEA overlapping efficiency model and entropy weight method was proposed to evaluate the regional vulnerability of flood disaster. Firstly, the evaluation index system and evaluation standard for the regional vulnerability of flood disaster were constructed based on the theory of flood disaster formation. Secondly, the improved DEA overlapping efficiency model was applied to calculate the disaster formation efficiency of different areas, and the weights for assembling the overall disaster formation efficiency were determined by the entropy weight method, then the relative magnitude of vulnerability for different areas was analyzed according to the practical meaning of disaster formation efficiency. Finally, the case analysis was conducted on the flood disaster of each province in China. The results showed that the evaluation results were consistent with the actual situation. The regional vulnerability degree of flood disaster can be evaluated accurately by the method with a good applicability.

参考文献/References:

[1]Pelanda C. Disaster and Sociosystemic Vulnerability[M],Gorizia:Disaster Research Center,1981.
[2]Wisner B,Blaikie P,Cannon T,Davis I. At Risk: Natural Hazards, People’s Vulnerability and Disasters[M]. London: Routledge,1994.
[3]刘毅,黄建毅,马丽. 基于DEA模型的我国自然灾害区域脆弱性评价[J]. 地理研究,2010,29(7):1153-1162. LIU Yi,HUANG Jjianyi,MA Li. The assessment of regional vulnerability to natural disasters in China based on DEA model[J]. Geogrophical research,2010,29(7):1153-1162.
[4]Huang D P,Zhang R H,Huo Z G,et al. An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method[J]. Natural Hazards,2012,64(2): 1575- 1568.
[5]裴欢,王晓妍,房世峰. 基于DEA的中国农业旱灾脆弱性评价及时空演变分析[J]. 灾害学,2015,30(2):64-69. PEI Huan,WANG Xiaoyan,FANG Shifeng. Study on temporal-spatial evolution of agricultural drought vulnerability of China based on DEA model[J]. Journal of Catastrophology,2015,30(2):64-69.
[6]程翠云,钱新,盛金保,李雷,杨孟,陈兆丰. 基于数据包络分析的溃坝洪水灾害脆弱性评价 [J]. 水土保持通报,2010,30(3):144-147,157. CHENG Cuiyun,QIAN Xin,SHENG Jinbao,LI Li,YANG Meng,CHEN Zhaofeng. Evaluation of Vulnerability to Dam-break Disaster by Using the DEA Method[J]. Bulletin of Soil and Water Conservation,2010,30(3):144-147,157.
[7]石勇,许世远,石纯,孙阿丽,赵庆良. 基于DEA方法的上海农业水灾脆弱性评估[J]. 自然灾害学报,2011,20(5):188-192. SHI Yong,XU Shiyuan,SHI Chun,SUN Ali,ZHAO Qingliang. DEA-based assessment of agricultural vulnerability to flood in Shanghai[J]. Journal of Natural Disasters,2011,20(5):188-192.
[8]刘铁民. 事故灾难成因再认识——脆弱性研究[J]. 中国安全生产科学技术,2010,6(5):5-10. LIU Tiemin. Recognition of disaster causes-study of the vulnerability[J]. Journal of Safety Science and Technology,2010,6(5):5-10.
[9]温宁,刘铁民. 基于对抗交叉评价模型的中国自然灾害区域脆弱性评价[J]. 中国安全生产科学技术,2011,7(4):24-28. WEN Ning,LIU Tiemin. The assessment of regional vulnerability to natural disasters in China by using the aggressive-cross-evaluation model[J]. Journal of Safety Science and Technology,2011,7(4):24-28.
[10]葛全胜,周铭,郑景云. 中国自然灾害风险综合评估初步探究[M],北京:科学出版社,2008.
[11]魏权龄. 数据包络分析[J]. 科学通报,2000,45(17):1793-1808. WEI Quanling. Data envelopment analysis[J]. Chinese Science Bulletin,2000,45(17):1793-1808.
[12]Sexton T R,Silkman R H,Hogan A J. Data envelopment analysis:Critique and extensions[J]. New Directions for Program Evaluation,1986(32):73-105.
[13]Wang Y M,Wang S. Approaches to determining the relative importance weights for cross-efficency aggregation in data envelopment analysis[J]. Journal of the Operational Research Society,2013(64):60-69.
[14]Wu J,Sun J S,Liang L,Zha Y C. Determination of weights for ultimate cross efficiency using Shannon entropy[J]. Expert Systems with Applications,2011(38):5162-5165.
[15]孙加森. 数据包络分析(DEA)的交叉效率理论方法与应用研究[D].合肥:中国科学技术大学,2014.

相似文献/References:

[1]温宁,刘铁民.基于对抗交叉评价模型的中国自然灾害区域脆弱性评价[J].中国安全生产科学技术,2011,7(4):24.
 WEN Ning,LIU Tie-min.The assessment of regional vulnerability to natural disasters in China by using the aggressive-cross-evaluation model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(5):24.
[2]洪凡,李易.局部洪水灾害下集疏运路网韧性分析[J].中国安全生产科学技术,2023,19(2):20.[doi:10.11731/j.issn.1673-193x.2023.02.003]
 HONG Fan,LI Yi.Resilience analysis of collection and distribution road network under local flood disaster[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(5):20.[doi:10.11731/j.issn.1673-193x.2023.02.003]

备注/Memo

备注/Memo:
国家科技支撑计划课题项目(2014BAL05B07)
更新日期/Last Update: 2016-06-17