Journal of Advanced Transportation

Methodologies for the Analysis and Prevention of Aviation Safety Occurrences

Publishing date
01 Dec 2020
Submission deadline
07 Aug 2020

1University of Limerick, Limerick, Ireland

2Queensland University of Technology, Brisbane, Australia

3Kansas State University, Salina, USA

Methodologies for the Analysis and Prevention of Aviation Safety Occurrences


The systematic analysis of aircraft accidents and incidents (safety occurrences) is a key enabler for the enhancement of aviation safety. There is a fast growing body of research and practice in developing, validating, and implementing methodologies for the analysis of safety occurrences. This trend indicates not only the increasing emphasis on achieving continuous improvement in aviation safety performance, but also the need for smarter and more accurate analysis methodologies. The output of these analyses feeds into methodologies targeting and employed for accident prevention. Equally to analysis’ methodologies, the research efforts on improved prevention methodologies experience a fast-paced growth.

This special issue offers a publication venue for researchers and industry practitioners working on developing, validating, and implementing analysis and prevention methodologies for aviation safety occurrences. Its aim is to consolidate research developments and findings, by publishing both original research and comprehensive review papers.

Potential topics include but are not limited to the following:

  • Accident/incident classification methods
  • Empirical, analytical, and computational models for analysis of safety data
  • Nondeterministic methodologies for the analysis of safety data
  • Data-driven techniques and methods for safety occurrences’ analysis/prevention
  • Accident/incident causation models
  • Risk-based accident prevention models
  • Human factors approaches/models in accident analysis and prevention
  • State-of-the-art review of analysis/prevention methodologies
  • Comprehensive case studies in aviation accident/incident analysis and prevention
Journal of Advanced Transportation
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Acceptance rate19%
Submission to final decision134 days
Acceptance to publication17 days
Journal Citation Indicator0.480
Impact Factor2.3
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