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面向飞行全过程的民航事故致因关联网络分析

Translated title of the contribution: Causes and correlation network analysis of civil aviation accidents for whole flight phases
  • Dan Liu
  • , Yansheng Luo
  • , Shixuan Li
  • , Gangyan Xu
  • , Moxiao Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

In order to improve the safety level of China Civil Aviation, a cause analysis method, which focused on the whole process of 'taxiing-takeoff-climbing-cruising-falling-approaching and landing', was proposed based on association rules and SNA. Firstly, a total of 1 051 civil aviation accident cases from 2010 to 2022 were collected from Aviation Safety Information System. Then, a civil aviation accident causation index system based on ' human-machine-environment-management ' was established in combination with ' control navigation service procedure-training'. Secondly, the EasyData data service platform was used for annotation, followed by constructing the data-set of the cause of civil aviation accidents facing the whole process of flight. Furthermore, the FP-Growth algorithm was employed to mine the association rules with the flight phase as the subsequent term of rules. Finally, this study emphasized the co-occurrence frequency of association rules, and developed the correlation network of civil aviation accident causes by applying the centrality analysis of flight phase and accident causes. The results show that the most dangerous phases of flight are the approach and landing. Operation failures, runway safe accidents and cabin safe accidents are the main types. Among the 10 identified causes of civil aviation accidents, there are 4 human factors, 2 facilities and equipment factors, 3 environmental factors and 1 management factor.

Translated title of the contributionCauses and correlation network analysis of civil aviation accidents for whole flight phases
Original languageChinese (Simplified)
Pages (from-to)84-92
Number of pages9
JournalChina Safety Science Journal
Volume34
Issue number3
DOIs
Publication statusPublished - Mar 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cause of accident
  • civil aviation accidents
  • correlation network
  • social network analysis (SNA)
  • whole flight process

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Safety Research
  • Public Health, Environmental and Occupational Health

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