• DocumentCode
    110951
  • Title

    A Socio-Physical Approach to Systemic Risk Reduction in Emergency Response and Preparedness

  • Author

    Ross, William ; Gorod, Alex ; Ulieru, Mihaela

  • Author_Institution
    Adaptive Risk Manage. Lab., Univ. of New Brunswick, Fredericton, NB, Canada
  • Volume
    45
  • Issue
    8
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1125
  • Lastpage
    1137
  • Abstract
    This paper proposes a socio-physical approach that considers jointly the interaction and integration of the social and physical views of a system to improve emergency response and preparedness. This is accomplished through a reduction of systemic risk, which refers to a risk that could be greater than the sum of the risks of the individual system constituents. Using network analysis, it is shown that the explicit socio-physical approach yields meaningful qualitative and quantitative differences when compared with approaches that focus on the social and physical views in isolation. The benefits of this proposed approach are illustrated on a case study using clustering analysis and a proof-of-concept simulation. This new approach leads to systemic risk reduction by enabling a more informed and coordinated response strategy following an incident and a better identification of possible consequences and preparation strategies prior to an incident.
  • Keywords
    emergency management; network theory (graphs); pattern clustering; risk management; clustering analysis; emergency preparedness; emergency response; explicit socio-physical approach; network analysis; proof-of-concept simulation; systemic risk reduction; Accidents; Educational institutions; Emergency services; Hazards; Hospitals; Risk management; Clustering coefficient; emergency response and preparedness; risk reduction; situational awareness; socio-physical view; systemic risk;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics: Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2216
  • Type

    jour

  • DOI
    10.1109/TSMC.2014.2336831
  • Filename
    6866197