Emergency management capabilities of interdependent systems: framework for analysis

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 conceptu...

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Bibliographic Details
Published in:Environment systems & decisions 2022-06, Vol.42 (2), p.149-176
Main Authors: Piraina, Mariachiara, Trucco, Paolo
Format: Article
Language:English
Subjects:
Adaptability
Adaptive systems
Classification
Collaboration
Complex adaptive systems
Control
Critical infrastructure
Earth and Environmental Science
Emergencies
Emergency management
Emergency preparedness
Emergency procedures
Environment
Environmental Management
Infrastructure
Literature reviews
Modelling
multidisciplinary
Organizational aspects
Quality Control
Reliability
Safety and Risk
Science
Situational awareness
Systems Theory
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Summary: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.
ISSN:2194-5403
2194-5411
DOI:10.1007/s10669-021-09840-0