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Measuring the cost of resilience

Author

Listed:
  • Cook, Andrew
  • Delgado, Luis
  • Tanner, Graham
  • Cristóbal, Samuel

Abstract

Air traffic management research lacks a framework for modelling the cost of resilience during disturbance. There is no universally accepted metric for cost resilience. The design of such a framework is presented and the modelling to date is reported. The framework allows performance assessment as a function of differential stakeholder uptake of strategic mechanisms designed to mitigate disturbance. Advanced metrics, cost- and non-cost-based, disaggregated by stakeholder sub-types, are described. A new cost resilience metric is proposed and exemplified with early test data.

Suggested Citation

  • Cook, Andrew & Delgado, Luis & Tanner, Graham & Cristóbal, Samuel, 2016. "Measuring the cost of resilience," Journal of Air Transport Management, Elsevier, vol. 56(PA), pages 38-47.
  • Handle: RePEc:eee:jaitra:v:56:y:2016:i:pa:p:38-47
    DOI: 10.1016/j.jairtraman.2016.02.007
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    References listed on IDEAS

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    1. Cook, Andrew & Tanner, Graham & Williams, Victoria & Meise, Gerhard, 2009. "Dynamic cost indexing – Managing airline delay costs," Journal of Air Transport Management, Elsevier, vol. 15(1), pages 26-35.
    2. Randeep Bhatia & Murali Kodialam & T. V. Lakshman, 2006. "Finding disjoint paths with related path costs," Journal of Combinatorial Optimization, Springer, vol. 12(1), pages 83-96, September.
    3. Mark Turnquist & Eric Vugrin, 2013. "Design for resilience in infrastructure distribution networks," Environment Systems and Decisions, Springer, vol. 33(1), pages 104-120, March.
    4. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    5. Mayada Omer & Ali Mostashari & Roshanak Nilchiani, 2013. "Assessing resilience in a regional road-based transportation network," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 13(4), pages 389-408.
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    Cited by:

    1. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    2. Evler, Jan & Asadi, Ehsan & Preis, Henning & Fricke, Hartmut, 2021. "Airline ground operations: Optimal schedule recovery with uncertain arrival times," Journal of Air Transport Management, Elsevier, vol. 92(C).
    3. Montlaur, A. & Delgado, L., 2020. "Flight and passenger efficiency-fairness trade-off for ATFM delay assignment," Journal of Air Transport Management, Elsevier, vol. 83(C).
    4. Delgado, Luis & Gurtner, Gérald & Mazzarisi, Piero & Zaoli, Silvia & Valput, Damir & Cook, Andrew & Lillo, Fabrizio, 2021. "Network-wide assessment of ATM mechanisms using an agent-based model," Journal of Air Transport Management, Elsevier, vol. 95(C).
    5. Liao, Maozhu & Wu, Chuntao & Yan, Hongmeng, 2022. "Recovery of Chinese low-cost carriers after the outbreak of COVID-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 105(C).
    6. Adel Mottahedi & Farhang Sereshki & Mohammad Ataei & Ali Nouri Qarahasanlou & Abbas Barabadi, 2021. "Resilience analysis: A formulation to model risk factors on complex system resilience," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 871-883, October.

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