A Study to Assess the Performance of Disaster Management During the 2017 Yongji County Flood in China

被引:1
作者
Pang, Deliang [1 ,2 ]
Zhang, Xinxin [2 ]
Zhang, Jian [3 ]
机构
[1] Jilin Univ, NE Asian Res Ctr, Changchun 130400, Peoples R China
[2] Jilin Univ, NE Asian Studies Coll, Changchun 130400, Peoples R China
[3] Liaoning Univ, Sch Int Econom Int Relat, Shenyang 110136, Peoples R China
基金
中国国家自然科学基金;
关键词
2017 Yongji County Flood; Disaster management; Performance and outcomes; Intensive experiences of victims; NATURAL DISASTER; RISK; VULNERABILITY;
D O I
10.1007/s11115-022-00684-z
中图分类号
C93 [管理学]; D035 [国家行政管理]; D523 [行政管理]; D63 [国家行政管理];
学科分类号
12 ; 1201 ; 1202 ; 120202 ; 1204 ; 120401 ;
摘要
In 2017, Yongji County, which is located in Jilin Province, China, was devastated by its worst floods for generations. Consequently, the people of Yongji County suffered losses due to both the natural disaster and the deficiencies of disaster management. The aim of this research was to evaluate the factors that influenced the experiences of victims to provide insights into the performance of disaster management. Statistical analysis was employed to describe the functions and role of disaster management in the 2017 Yongji County flood. The Logistic regression also was adopted to explore the association between the performance and outcomes of disaster management experienced by victims, and gender, age, profession, frequency of disasters, the efficiency of defense measures, the efficiency of rescue, the loss of property, the degree of normal life and productivity recovery, the satisfaction of governmental compensation, the degree of disaster information disclosure, the government attitudes, the mechanism of accountability, and public safety education. This paper is among the first studies to identify the factors that affect victims' perceptions in assessing the performance of disaster management hosted by local government. Hence, this research makes an important contribution in assisting policymakers and officers in local government to improve performance in dealing with natural and environmental disasters.
引用
收藏
页码:775 / 790
页数:16
相关论文
共 22 条
[1]   A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China [J].
Chen, Junfei ;
Li, Qian ;
Wang, Huimin ;
Deng, Menghua .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (01)
[2]   Some economics of floods [J].
Freebairn, John .
ADVANCES IN ECOLOGICAL RESEARCH, VOL 39, 2006, 39 :125-137
[3]   Mapping social vulnerability to natural hazards in Italy: A suitable tool for risk mitigation strategies [J].
Frigerio, Ivan ;
De Amicis, Mattia .
ENVIRONMENTAL SCIENCE & POLICY, 2016, 63 :187-196
[4]   An AMSR-E data unmixing method for monitoring flood and waterlogging disaster [J].
Gu Lingjia ;
Zhao Kai ;
Zhang Shuang ;
Zheng Xingming .
CHINESE GEOGRAPHICAL SCIENCE, 2011, 21 (06) :666-675
[5]  
Guo DY., 2002, METROPOLITAN DISASTE, V6, P19
[6]   Flood loss analysis and quantitative risk assessment in China [J].
Li, Kaizhong ;
Wu, Shaohong ;
Dai, Erfu ;
Xu, Zhongchun .
NATURAL HAZARDS, 2012, 63 (02) :737-760
[7]  
[李丽娟 Li Lijuan], 2011, [冰川冻土, Journal of Glaciology and Geocryology], V33, P1414
[8]  
Li S., 2011, POW EN SOC GEN M 201, P24
[9]  
Li W. F., 2018, P 35 ANN M CHINESE M, P23
[10]  
[刘淑涵 Liu Shuhan], 2019, [地球信息科学学报, Journal of Geo-Information Science], V21, P1009