Volume 49 Issue 4
Apr.  2023
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PAN D,LUO F,LI Y Z,et al. Airport safety risk early warning under circumstance of non-suspend air construction based on DW-MEE[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(4):780-791 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0707
Citation: PAN D,LUO F,LI Y Z,et al. Airport safety risk early warning under circumstance of non-suspend air construction based on DW-MEE[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(4):780-791 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0707

Airport safety risk early warning under circumstance of non-suspend air construction based on DW-MEE

doi: 10.13700/j.bh.1001-5965.2021.0707
Funds:  Key Project of Science and Technology Research of Education Department in Hubei Province (D20201104); General Project of Social Science Foundation in Hubei Province (2021200); Annual Project of Philosophy and Social Science Planning in Henan Province (2022CSH031); The Doctor Fundation Project of Henan University of Engineering (D2022035)
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  • Corresponding author: E-mail:sailluof@126.com
  • Received Date: 24 Nov 2021
  • Accepted Date: 20 Mar 2022
  • Available Online: 02 Jun 2023
  • Publish Date: 11 Apr 2022
  • To carry out airport safety risk early warning under the circumstance of non-suspend air construction, a risk early warning model is constructed by integrating dynamic weight and matter-element extension analysis (DW-MEE). Through the analysis of historical accidents, literature, rules and regulations, and expert interviews, airport safety risk early warning index system under the circumstance of non-suspend air construction was preliminarily constructed, and 33 indexes were selected by Delphi method. The comprehensive safety risk warning situation and single index warning situation of the airport under the circumstance of non-suspend air construction were divided into four grades: no alarm, light alarm, medium alarm and heavy alarm. The dynamic warning model based on dynamic weight and matter-element extension analysis was established. The study found that among 10 sample airports, 1 is in red heavy alarm state, 3 are in yellow light alarm state, and 6 airports are in green no alarm state. The three indexes of pilot’s situational awareness, pilot’s professional skill level and airport non-suspend air construction safety supervision ability are the most sensitive to the influence of alarm situation, while the three indexes of construction’s influence on ground service, the scientific nature of non-stop construction emergency plan and the maintenance of power supply equipment are the least sensitive to the influence of comprehensive warning situation.

     

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