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Towards understanding work-as-done in air traffic management safety assessment and design

Author

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  • Woltjer, Rogier
  • Pinska-Chauvin, Ella
  • Laursen, Tom
  • Josefsson, Billy

Abstract

This paper describes the approach taken and the results to develop guidance, to include Resilience Engineering principles in methodology for safety assessment of functional changes, in Air Traffic Management (ATM). It summarizes the process of deriving resilience principles for ATM, originating from Resilience Engineering concepts and transposed into ATM operations. These principles are the foundation for guidance material incorporating Resilience Engineering (RE) concepts into safety assessment methodology. The guidance material provides a method using workshops generating qualitative descriptions of RE principles applied to ATM services of everyday work, as done currently and as envisioned after introduction of a new technology or way of working. The guidance material has been proposed as part of the safety assessment methodology of SESAR (Single European Sky ATM Research), and as stand-alone guidance for ATM design processes. The methodology was validated via a test case on the i4D/CTA (Controlled Time of Arrival) concept. Operational examples from the application of the developed guidance to the i4D/CTA concept are provided. Initial evaluation of the guidance suggests that the methodology (1) provides a narrative, vocabulary and documentation means of project discussions on resilience; (2) brings the discussions of safety and resilience closer to operational practice; (3) facilitates a broader systemic and integrative perspective on operational, management, business, safety, environmental, and human performance aspects; and (4) can extend the vocabulary of safety assessment to include the description of emergent properties, to better support functional changes in ATM.

Suggested Citation

  • Woltjer, Rogier & Pinska-Chauvin, Ella & Laursen, Tom & Josefsson, Billy, 2015. "Towards understanding work-as-done in air traffic management safety assessment and design," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 115-130.
    • Handle: RePEc:eee:reensy:v:141:y:2015:i:c:p:115-130
    DOI: 10.1016/j.ress.2015.03.010
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    References listed on IDEAS

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    1. de Carvalho, Paulo Victor Rodrigues, 2011. "The use of Functional Resonance Analysis Method (FRAM) in a mid-air collision to understand some characteristics of the air traffic management system resilience," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1482-1498.
    2. Herrera, I.A. & Woltjer, R., 2010. "Comparing a multi-linear (STEP) and systemic (FRAM) method for accident analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1269-1275.
    3. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    4. Karl E. Weick & Kathleen M. Sutcliffe & David Obstfeld, 2005. "Organizing and the Process of Sensemaking," Organization Science, INFORMS, vol. 16(4), pages 409-421, August.
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    Cited by:

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    2. Patriarca, Riccardo & Bergström, Johan & Di Gravio, Giulio, 2017. "Defining the functional resonance analysis space: Combining Abstraction Hierarchy and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 34-46.
    3. Santos, Paula Luisa Costa Teixeira & Monteiro, Paulo Adelino Antunes & Studic, Milena & Majumdar, Arnab, 2017. "A methodology used for the development of an Air Traffic Management functional system architecture," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 445-457.
    4. Ham, Dong-Han & Park, Jinkyun, 2020. "Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    5. Kaya, Gulsum Kubra & Hocaoglu, Mehmet Fatih, 2020. "Semi-quantitative application to the Functional Resonance Analysis Method for supporting safety management in a complex health-care process," Reliability Engineering and System Safety, Elsevier, vol. 202(C).

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