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Societal consequences of critical infrastructure vulnerabilities: integrating power system and regional inoperability input-output models

Johansson, Jonas LU ; Svegrup, Linn LU and Hassel, Henrik LU (2013) European Safety and Reliability Conference (ESREL2013) In [Host publication title missing]
Abstract
Critical infrastructures provide indispensable services to society and extensive disruption of these give rise to large societal consequences. Most risk-related studies of critical infrastructures, however, focus rather narrowly on the direct consequences, e.g. expressed by services not supplied or cost of nonsupplied services. Although these measures might serve as a proxy for the direct societal effects, they are not suitable for gaining deeper insights into higher-order societal consequences of disruptions. To this end, the inoperability input-output model can be used, where national economic data is used as an approximation of interdependencies among societal sectors. The paper demonstrates an integrated model, consisting of a physical... (More)
Critical infrastructures provide indispensable services to society and extensive disruption of these give rise to large societal consequences. Most risk-related studies of critical infrastructures, however, focus rather narrowly on the direct consequences, e.g. expressed by services not supplied or cost of nonsupplied services. Although these measures might serve as a proxy for the direct societal effects, they are not suitable for gaining deeper insights into higher-order societal consequences of disruptions. To this end, the inoperability input-output model can be used, where national economic data is used as an approximation of interdependencies among societal sectors. The paper demonstrates an integrated model, consisting of a physical model of a critical infrastructure and a regional inoperability input-output model. In a case study a representative

model of the Swedish power transmission system, as the electric power system is generally recognized

as one of the most vital critical infrastructures, and Swedish regional economic input-output data is

used. The results from an analysis using this type of model can provide important information to societal riskrelated

decision making, e.g. by identifying regional areas characterized by both having vulnerable Power supply and strong electric power dependence. The proposed integrated model constitutes a valuable advance when assessing critical infrastructure vulnerabilities and societal consequences of failures. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Critical Infrastructure, Power System, Input-output models, National, Economic, Vulnerability
in
[Host publication title missing]
publisher
ESREL2013
conference name
European Safety and Reliability Conference (ESREL2013)
language
English
LU publication?
yes
id
9276b2d6-95f2-4291-817b-5e16a168c966 (old id 8053642)
date added to LUP
2015-10-09 15:35:22
date last changed
2016-10-31 10:13:37
@inproceedings{9276b2d6-95f2-4291-817b-5e16a168c966,
  abstract     = {Critical infrastructures provide indispensable services to society and extensive disruption of these give rise to large societal consequences. Most risk-related studies of critical infrastructures, however, focus rather narrowly on the direct consequences, e.g. expressed by services not supplied or cost of nonsupplied services. Although these measures might serve as a proxy for the direct societal effects, they are not suitable for gaining deeper insights into higher-order societal consequences of disruptions. To this end, the inoperability input-output model can be used, where national economic data is used as an approximation of interdependencies among societal sectors. The paper demonstrates an integrated model, consisting of a physical model of a critical infrastructure and a regional inoperability input-output model. In a case study a representative<br/><br>
model of the Swedish power transmission system, as the electric power system is generally recognized<br/><br>
as one of the most vital critical infrastructures, and Swedish regional economic input-output data is<br/><br>
used. The results from an analysis using this type of model can provide important information to societal riskrelated<br/><br>
decision making, e.g. by identifying regional areas characterized by both having vulnerable Power supply and strong electric power dependence. The proposed integrated model constitutes a valuable advance when assessing critical infrastructure vulnerabilities and societal consequences of failures.},
  author       = {Johansson, Jonas and Svegrup, Linn and Hassel, Henrik},
  booktitle    = {[Host publication title missing]},
  keyword      = {Critical Infrastructure,Power System,Input-output models,National,Economic,Vulnerability},
  language     = {eng},
  publisher    = {ESREL2013},
  title        = {Societal consequences of critical infrastructure vulnerabilities: integrating power system and regional inoperability input-output models},
  year         = {2013},
}