A bottom-up risk-based resource allocation methodology to counter terrorism
by Luca Quadrifoglio
International Journal of Society Systems Science (IJSSS), Vol. 1, No. 1, 2008

Abstract: After September 11th, government officials have begun questioning the appropriateness of the current federal allocation formula to counter terrorism. Newly appointed Secretary Chertoff demanded the development of more rigorous risk-based mechanisms. This paper is one of the first addressing this request by developing the corresponding resource allocation optimisation model based on the current largely accepted rigorous definition of risk and suggesting a practical implementation of a decomposition methodology to solve it. It is shown how the proposed procedure works and can be carried out in practice within the current geographical hierarchical partitioning of the nation in a 'bottom-up' fashion: 'child' subsets provide their 'parents' with piecewise linear relationships indicating the cost-effectiveness of the allocated budget in reducing the overall risk. This information will be sufficient to solve the overall allocation problem. A successful implementation of the methodology would result in reducing the 'barrier' between theory and application, performing a better resource allocation to counter terrorism, ultimately using fewer resources more efficiently to make the nation safer.

Online publication date: Thu, 21-Aug-2008

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 Society Systems Science (IJSSS):
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