China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (5): 158-167.doi: 10.16265/j.cnki.issn1003-3033.2023.05.2014

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Evaluation of urban emergency management capabilities from perspective of safe development

CHENG Fangming1,2(), WANG Chenchen1,2, YUAN Xiaofang3   

  1. 1 School of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
    2 Xi'an Key Laboratory of Urban Public Safety and Fire Rescue, Xi'an Shaanxi 710054, China
    3 School of Management, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
  • Received:2022-12-13 Revised:2023-03-09 Online:2023-05-28 Published:2023-11-28

Abstract:

To reasonably and effectively evaluate urban emergency management capability and promote the construction of modern cities, an urban emergency management capacity evaluation system was constructed from six aspects: urban safety source governance capabilities, urban safety risk prevention and control capabilities, urban safety supervision and management capabilities, urban safety assurance capabilities, urban safety emergency rescue capabilities, and urban safety emergency recovery capabilities. The G1 method combined with the entropy weight method was used to calculate the combined weight to effectively reduce the subjective factors of weight calculation. The cloud model and the material-element extensibility model were used to construct a comprehensive evaluation model to strengthen the scientificity and accuracy of the evaluation work. Then a city was taken as an example to conduct application research to verify the scientificity and effectiveness of the model. The results show that the index system can comprehensively and accurately reflect the current situation of urban emergency management capacity, and the comprehensive evaluation model can accurately and scientifically evaluate urban emergency management capacity, which can provide decision-making basis for government emergency management.

Key words: safe development, urban emergency management, capability assessment, cloud model, matter-element extension model