Reduction techniques in modelling critical infrastructures under the infrastructure interdependencies simulator framework
by Arvind Singh; Krishan D. Srivastava; Jose R. Marti
International Journal of Critical Infrastructures (IJCIS), Vol. 9, No. 3, 2013

Abstract: Modern, urban population centres are comprised of highly interdependent networks of infrastructures. In normal operating conditions, these interdependencies can be neglected without much trouble, however, in times of emergency, these same interdependencies, often hidden, can debilitate relief efforts. The effects are often noted in disaster response post-mortems as poor distribution of resources and previously unseen vulnerabilities in the system. The infrastructure interdependencies simulator (I2Sim) was developed for the purpose of aiding decision makers in taking these interdependencies into account both in pre-planning and real time decision coordination. However, the number of infrastructures that require modelling can make simulations unwieldy. This paper presents methods for reducing the complexity of simulation by infrastructure aggregation. Statistical methods are outlined for defining the parameters of aggregated blocks and major issues encountered in the process of model reduction are outlined.

Online publication date: Mon, 28-Apr-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Critical Infrastructures (IJCIS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com