NDLI: Toward quantifying metrics for rail-system resilience: identification and analysis of performance weak resilience signals

Content Provider	Springer Nature Link
Author	Regt, Auk Siegel, Aron Wolf Schraagen, Jan Maarten
Copyright Year	2015
Abstract	This paper aims to enhance tangibility of the resilience engineering concept by facilitating understanding and operationalization of weak resilience signals (WRSs) in the rail sector. Within complex socio-technical systems, accidents can be seen as unwanted outcomes emerging from uncontrolled sources of entropy (functional resonance). Various theoretical models exist to determine the variability of system interactions, the resilience state and the organization’s intrinsic abilities to reorganize and manage their functioning and adaptive capacity to cope with unexpected and unforeseen disruptions. However, operationalizing and measuring concrete and reliable manifestations of resilience and assessing their impact at a system level have proved to be a challenge. A multi-method, ethnographic observation and resilience questionnaire, were used to determine resilience baseline conditions at an operational rail traffic control post. This paper describes the development, implementation and initial validation of WRSs identified and modeled around a ‘performance system boundary.’ In addition, a WRS analysis function is introduced to interpret underlying factors of the performance WRSs and serves as a method to reveal potential sources of future resonance that could comprise system resilience. Results indicate that performance WRSs can successfully be implemented to accentuate relative deviations from resilience baseline conditions. A WRS analysis function can help to interpret these divergences and could be used to reveal (creeping) change processes and unnoticed initiating events that facilitate emergence that degrades rail-system resilience. Establishing relevant change signals in advance can contribute to anticipation and awareness, enhance organizational learning and stimulate resilient courses of action and adaptive behavior that ensures rail operation reliability.
Starting Page	319
Ending Page	331
Page Count	13
File Format	PDF
ISSN	14355558
Journal	Cognition, Technology & Work
Volume Number	18
Issue Number	2
e-ISSN	14355566
Language	English
Publisher	Springer London
Publisher Date	2015-11-18
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Resilience Ethnographic observation Railway signaling Weak resilience signal WRS WRS analysis function Resilience state model for railway systems User Interfaces and Human Computer Interaction Industrial, Organisational and Economic Psychology Cognitive Psychology Automotive Engineering Aerospace Technology and Astronautics Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Philosophy Human-Computer Interaction Computer Science Applications

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