Enhancing Infrastructure Resilience Under Conditions of Incomplete Knowledge of Interdependencies

L. Andrew Bollinger, Gerard P. J. Dijkema

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Abstract

    Today’s infrastructures — such as road, rail, gas, electricity and ICT — are highly interdependent, and may best be viewed as multi-infrastructure systems. A key challenge in seeking to enhance the resilience of multi-infrastructure systems in practice relates to the fact that many interdependencies may be unknown to the operators of these infrastructures. How can we foster infrastructure resilience lacking complete knowledge of interdependencies? In addressing this question, we conceptualize the situation of a hypothetical infrastructure operator faced with incomplete knowledge of the interdependencies to which his infrastructure is exposed. Using a computer model which explicitly represents failure propagations and cascades within a multi-infrastructure system, we seek to identify robust investment strategies on the part of the operator to enhance infrastructure resilience. Our results show that a strategy of constructing redundant interdependencies may be the most robust option for a financially constrained infrastructure operator. These results are specific to the infrastructure configuration tested. However, the developed model may be tailored to the conditions of real-world infrastructure operators faced with a similar dilemma, ultimately helping to foster resilient infrastructures in an uncertain world.
    Original languageEnglish
    Title of host publicationInternational Symposium for Next Generation Infrastructure Conference Proceedings: 30 September - 1 October 2014 International Institute of Applied Systems Analysis (IIASA),Schloss Laxenburg, Vienna, Austria
    EditorsT Dolan, B. Collins
    PublisherUCL STEaPP LONDON
    Pages9-14
    Number of pages6
    DOIs
    Publication statusPublished - 2015

    Keywords

    • Interdependencies, Resilience, Networks, Electricity Infrastructures, Incomplete Knowledge, Modeling and Simulation

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