The effect of COVID-19 on self-reported safety incidents in aviation: An examination of the heterogeneous effects using causal machine learning

Introduction: Disruptions to aviation operations occur daily on a micro-level with negligible impacts beyond the inconvenience of rebooking and changing aircrew schedules. The unprecedented disruption in global aviation due to COVID-19 highlighted a need to evaluate emergent safety issues rapidly. M...

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Detalles Bibliográficos
Autores principales: Choi, Youngran, Gibson, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Safety Council and Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729650/
https://www.ncbi.nlm.nih.gov/pubmed/36868668
http://dx.doi.org/10.1016/j.jsr.2022.12.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729650/
https://www.ncbi.nlm.nih.gov/pubmed/36868668
http://dx.doi.org/10.1016/j.jsr.2022.12.002

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