The impact of partial capacity reduction on network vulnerability against cascading failure
by Kashin Sugishita; Yasuo Asakura
International Journal of Critical Infrastructures (IJCIS), Vol. 14, No. 2, 2018

Abstract: Recent natural and man-made disasters have revealed the inherent weakness in mutually dependent critical infrastructures. A potential risk in such complex systems is that an influence of failures in one system can propagate along dependency and multiple systems can be broken simultaneously. Hence it is important to understand risks hidden behind dependency. Under the background, we investigate the impact of partial capacity reduction on network vulnerability against cascading failure. This study demonstrates that the partial capacity reduction increases the vulnerability of the whole network and failures can spread out easily. We also show that how critical nodes whose removals bring about devastating damage on the whole network appear in a network. Our results indicate a possibility that nodes which are located not only inside but also outside of the area of the capacity reduction can turn into critical nodes.

Online publication date: Mon, 21-May-2018

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