TECHNICAL PAPERS
Dec 1, 2008

Transportation-Based Framework for Deriving Perturbations to the Inoperability Input-Output Model

Publication: Journal of Infrastructure Systems
Volume 14, Issue 4

Abstract

The Inoperability Input-Output Model (IIM) provides a mechanism to enable examination of interdependencies among economic sectors to estimate the effects of a disruptive event. In previous IIM applications, parametric analyses were used to represent uncertain model inputs that created ambiguity in physical interpretations. This paper develops a transportation-based framework for decomposing the IIM inputs into two components: (1) workforce and (2) commodity flows. For workforce analysis, we estimate the number of workers using a particular asset, the normal income level, and the reduced income resulting from a disruption. For commodity analysis, we estimate the value of goods traveling across a particular asset and the resulting reduction due to a disruption. The workforce and commodity formulations were demonstrated using an ex post analysis of the 2003 closure of Virginia’s Midtown Tunnel. The study utilized a computer tool to execute the model and to perform sensitivity analysis to account for the data uncertainties.

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Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 14Issue 4December 2008
Pages: 293 - 304

History

Received: Jan 9, 2007
Accepted: Jan 29, 2008
Published online: Dec 1, 2008
Published in print: Dec 2008

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Authors

Affiliations

Matthew S. Haggerty [email protected]
Graduate MS Student, Systems and Information Engineering Dept., Univ. of Virginia, 1400 N George Mason Dr., Arlington, VA 22205 (corresponding author). E-mail: [email protected]
Joost R. Santos [email protected]
Research Assistant Professor, Systems and Information Engineering Dept., Univ. of Virginia, Olsson Hall, 151 Engineer’s Way, Charlottesville, VA 22904. E-mail: [email protected]
Yacov Y. Haimes, F.ASCE [email protected]
P.E.
Lawrence Quarles Professor of Engineering and Applied Science, Systems and Information Engineering Dept., Univ. of Virginia, Olsson 112, 151 Engineer’s Way, Charlottesville, VA 22904. E-mail: [email protected]

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