Kai Wang

Dr. Kai Wang

Department of Safety Engineering, College of Science and Engineering, Xi'an University of Science and Technology, Xi’an, Shaanxi, China
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 January 2018 in Journal of Thermal Analysis and Calorimetry
Verified
Journal Article
Closed access
PDF file
KWKai Wang
Kai Wang
JDJun Deng
Jun Deng
YZYan-Ni Zhang
Yan-Ni Zhang
CWCai-Ping Wang
Cai-Ping Wang

8 September 2022 in Energy
Verified
Journal Article
Closed access
KWKai Wang
Kai Wang
LHLihong Hu
Lihong Hu
JDJun Deng
Jun Deng
YZYanni Zhang
Yanni Zhang

18 March 2019 in Journal of Thermal Analysis and Calorimetry
Verified
Journal Article
Closed access
PDF file
KWKai Wang
Kai Wang
XLXiangrong Liu
Xiangrong Liu
JDJun Deng
Jun Deng
YZYanni Zhang
Yanni Zhang
SJShangrong Jiang
Shangrong Jiang

18 May 2022 in Energy
Verified
Journal Article
Closed access
KWKai Wang
Kai Wang
THTao Han
Tao Han
JDJun Deng
Jun Deng
YZYanni Zhang
Yanni Zhang

26 February 2024 in Energy
Verified
Journal Article
Closed access
KWKai Wang
Kai Wang
HHHao Huang
Hao Huang
JDJun Deng
Jun Deng
YZYanni Zhang
Yanni Zhang
QWQun Wang
Qun Wang

KWKai Wang
Kai Wang
ZWZhe Wang
Zhe Wang
JDjun deng
jun deng
YFYuanyuan Feng
Yuanyuan Feng
QLQuanfang Li
Quanfang Li
Community emergency management is directly related to the safety of people’s lives and properties and is concerned with economic development and social stability. This paper established an evaluation model of community emergency management capacity from the perspective of resilience based on hierarchical analysis (AHP) and distance between superior and inferior solutions (TOPSIS). In terms of infrastructure resilience, community organizational resilience, risk, and hidden danger management, emergency material security, emergency force construction, emergency literacy, and the evaluation index system of resilient community emergency management capacity were improved. By the AHP method, the weights of all indexes were determined scientifically. Combined with the TOPSIS method, the fit of the evaluated object which between the positive and negative ideal solution was calculated to determine the optimal evaluation among multiple experts. According to the validated assessment, the low-scoring indicators were analyzed to make practical suggestions for improvement. The results provide new theoretical methods and technical support for the assessment of community emergency response capacity, which also provides reference for the assessment of emergency response capacity in other fields.