Title
Preliminary interdependency analysis: An approach to support critical-infrastructure risk-assessment.
Abstract
•Stages in PIA are, by design, flexible and iterative, supporting an assessor in the identification of interdependencies and the quantification of risk and resilience.•PIA is applied in a sufficiently complex case-study; the risk-analyses of Power (both transmission and distribution) and Telecommunication networks in the Rome area.•The quantitative PIA models are novel, sophisticated hybrids of stochastic and deterministic models. Of note is the mechanism of stochastic association, which provides a way of creating complex statistical dependence between components in models with an exceedingly large state-space. We illustrate an example of this kind of mechanism, and its interplay with deterministic state changes, in a dynamic model of interacting infrastructure.•In performing interdependency analysis using PIA, our studies highlight the need for model exploration using diverse 1) levels of model abstraction/fidelity, 2) risk measures, 3) notions of criticality, and 4) model parameter values. A demonstrated awareness of this need for diversity when building trustworthy models is sorely lacking in many quantitative interdependency studies and proposed methodologies. It is very difficult to see how trust can be built in a model and its predictions without this.
Year
DOI
Venue
2017
10.1016/j.ress.2017.05.030
Reliability Engineering & System Safety
Keywords
Field
DocType
Interdependency analysis,Risk assessment,Cascading failure,Critical infrastructure resilience
Psychological resilience,Interdependence,Fidelity,Operations research,Critical infrastructure,Risk assessment,Cascading failure,Resource allocation,Engineering,Reliability engineering,Scalability
Journal
Volume
ISSN
Citations 
167
0951-8320
0
PageRank 
References 
Authors
0.34
13
5
Name
Order
Citations
PageRank
Robin E. Bloomfield122744.91
Peter T. Popov218118.14
Kizito Salako3244.54
Vladimir Stankovic453852.80
David Wright519625.73