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Emergency management capabilities of interdependent systems: framework for analysis

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  • Mariachiara Piraina

    (Politecnico di Milano)

  • Paolo Trucco

    (Politecnico di Milano)

Abstract

The management of emergencies affecting interdependent critical infrastructure (CI) systems is a complex issue of increasing concern. The existence of multiple cascading effects, limited situational awareness, and the need for coordination between several actors are factors that justify the conceptualisation of CI as a complex adaptive system (CAS). Although the capability concept has been extensively adopted in emergency management (EM) literature, proper classification and modelling of CI systems is lacking. This study aims to adopt a capability-based approach for EM to improve the adaptability to the prevailing and unpredictable circumstances, based on a combination of literature review and field research. It proposes a classification and modelling framework for the analysis of the intra- and inter-organisational capabilities using a pilot application involving the Italy–Switzerland cross-border transport infrastructure. This framework is suitable for modelling the EM capabilities under different operational contexts and emergency scenarios. Moreover, it enables the representation and description of a CI system through elementary components that capture the main features of a CAS. The obtained results indicate that the proposed framework can foster public–private collaboration in the development of CI protection and resilience programmes.

Suggested Citation

  • Mariachiara Piraina & Paolo Trucco, 2022. "Emergency management capabilities of interdependent systems: framework for analysis," Environment Systems and Decisions, Springer, vol. 42(2), pages 149-176, June.
  • Handle: RePEc:spr:envsyd:v:42:y:2022:i:2:d:10.1007_s10669-021-09840-0
    DOI: 10.1007/s10669-021-09840-0
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    1. Giada Feletti & Mariachiara Piraina & Boris Petrenj & Paolo Trucco, 2022. "Collaborative capability building for critical infrastructure resilience: assessment and selection of good practices," Environment Systems and Decisions, Springer, vol. 42(2), pages 207-233, June.

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