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Predicting Future Situations Requiring Resilient Performance and Deriving Competencies to Strengthen in Preparation: An Analysis Based on the Aviation Safety Reporting System (ASRS)

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the critical role of resilience in aviation safety, focusing on the analysis of near-miss incidents reported in the Aviation Safety Reporting System (ASRS). The study employs advanced natural language processing techniques to identify resilience competencies from these incidents, aiming to predict future situations where resilient performance will be crucial. Through clustering and time series analysis, the research pinpoints specific competencies that need strengthening to enhance aviation safety. The findings highlight the importance of anticipating, monitoring, responding, and learning in maintaining safety standards. The chapter concludes with a method to prepare for future situational changes, contributing to the prevention of accidents and the maintenance of near-miss incidents as learning opportunities.

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Title
Predicting Future Situations Requiring Resilient Performance and Deriving Competencies to Strengthen in Preparation: An Analysis Based on the Aviation Safety Reporting System (ASRS)
Authors
Mako Ono
Miwa Nakanishi
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-96-9330-6_39
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