The effect of including societal consequences for decisions on critical infrastructure vulnerability reductions
(2014) PSAM12- Abstract
- 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,... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5148983
- author
- Johansson, Jonas LU ; Hassel, Henrik LU and Svegrup, Linn LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Critical infrastructures, vulnerability reducing measures, societal consequences, Electric power system, decision context
- host publication
- PSAM12
- pages
- 11 pages
- publisher
- Probabilistic Safety Assessment and Management (PSAM)
- conference name
- PSAM12
- conference dates
- 2014-06-22 - 2014-06-27
- external identifiers
-
- scopus:85066651952
- language
- English
- LU publication?
- yes
- id
- f11b0524-cc83-4c96-a798-c0320594b49f (old id 5148983)
- date added to LUP
- 2016-04-04 10:56:32
- date last changed
- 2024-01-12 22:23:41
@inproceedings{f11b0524-cc83-4c96-a798-c0320594b49f, abstract = {{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<br/><br> 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 <br/><br> 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, <br/><br> however it is concluded that accounting for societal consequences in the decision-making process, when prioritizing between different vulnerability reducing measures, is of importance.}}, author = {{Johansson, Jonas and Hassel, Henrik and Svegrup, Linn}}, booktitle = {{PSAM12}}, keywords = {{Critical infrastructures; vulnerability reducing measures; societal consequences; Electric power system; decision context}}, language = {{eng}}, publisher = {{Probabilistic Safety Assessment and Management (PSAM)}}, title = {{The effect of including societal consequences for decisions on critical infrastructure vulnerability reductions}}, year = {{2014}}, }