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Contrasting vulnerability reduction measures for critical infrastructures: using power system and regional inoperability input-output models

Författare

Summary, in English

Critical infrastructures provide society with services that are essential for its functioning and extensive disruptions of these give rise to large societal consequences. Vulnerability analysis gives

important decision information concerning improving their ability to withstand strains. To analyze vulnerabilities in infrastructures models for estimating consequences due to failures are needed.

Consequences arising from a critical infrastructure disruption can be estimated from an infrastructural or a societal viewpoint. Most risk and vulnerability related studies of critical infrastructures, however,

focus rather narrowly only on the direct infrastructural consequences, e.g. expressed as services not supplied. An integrated model, consisting of a physical model of a critical infrastructure (the Swedish electric transmission system) and an inoperability input-output model to estimate societal consequences is used. The paper analyze and contrast how the two viewpoints may affect the decision of which vulnerability reducing measures to implement. Vulnerability reducing measures are implemented as addition of branches to the existing power system. The results show a relatively large difference when considering estimated effectiveness but the ranking of the measures is to some extent, congruent, however it is concluded that accounting for societal consequences in the decision-making process, when prioritizing between different vulnerability reducing measures, is of importance.

Publiceringsår

2014

Språk

Engelska

Dokumenttyp

Konferensbidrag

Ämne

  • Other Engineering and Technologies

Nyckelord

  • Critical Infrastructures
  • Societal Consequences
  • Decision making
  • Input-Output Models
  • Economic
  • Power System

Conference name

Probabilistic Safety Assessment & Management conference (PSAM12)

Conference date

2104-06-22 - 2104-06-27

Conference place

Honolulu, Hawaii, United States

Status

Published

Forskningsgrupp

  • LUCRAM (Lund University Center for Risk Analysis and Management