Resilience and safety for in-time monitoring, prediction, and mitigation of emergent risks in commercial aviation

Resilience and safety for in-time monitoring, prediction, and mitigation of emergent risks in commercial aviation

Holbrook, J. (NASA Langley Research Center)
Prinzel III, L.J. (NASA Langley Research Center)
Stewart, M.J. (San Jose State University)
Smith, B.E. (NASA Ames Research Center)
Matthews, B.L. (Stinger Ghaffarian Technologies, Inc.)

2019-05-07

Safety in aviation has been historically defined in terms of the occurrence of accidents or recognized risks; that is, safety is typically defined in terms of things that go wrong. An alternative and complementary approach is to focus on what goes right, and identify how to make that happen again. Focusing on the rare cases of failures attributed to “human error” provides little information about why human performance almost always goes right. Similarly, focusing on the lack of safety provides limited information about how to improve safety. This work builds upon a growing literature on resilience engineering and new approaches to safety (Hollnagel, 2014; Hollnagel, Woods, & Leveson, 2006). Data were collected from commercial airline pilots and air traffic controllers that illustrate the prevalence and value of resilient behaviors observed as routine in everyday operations. Results of data analyses as well as approaches to identify novel methods for data collection on resilient behavior for use in development of in time safety monitoring, prediction, and mitigation technologies are described.

http://resolver.tudelft.nl/uuid:dd0f13ba-50d2-4330-bd10-4d5e75f3f097

Conference proceedings

conference paper

(c) 2019 the author(s)