Supply-Driven Dynamic Inoperability Input-Output Price Model for Interdependent Infrastructure Systems
Publication: Journal of Infrastructure Systems
Volume 17, Issue 4
Abstract
A supply driven dynamic input-output inoperability model (SDIIM), which extends the classical dynamic inoperability input-output model (DIIM), is described in this paper. The classical DIIM was developed to help understand the infrastructure interdependencies of deliberate external attacks or unfortunate natural disasters, such as terrorist attacks or earthquakes and flooding. However, classical DIIM is a demand-driven model. More supply driven sectors exist than demand-driven sectors in interdependent infrastructure systems, but value-added perturbation is the predominant feature in supply driven sectors for an interrupt event. Moreover, compared to classical DIIM, the value added by the proposed SDIIM can be controlled more easily than the final demand of a disruptive event because the final demand perturbation may be affected by the psychological effect on consumers. A supply driven input-output inoperability model (IIM) has also been proposed to complement the classical IIM. However, the supply driven IIM is a static model, and only equilibrium values can be determined. The SDIIM presented in this paper has been formulated to model the behavior of the value-added input perturbation up to equilibrium and to characterize the required sector adjustments for achieving new levels of output values. In addition, the interdependency resilience coefficient and the interdependency index are discussed by using the SDIIM. In this paper, the large-scale snow disaster that occurred in south China in 2008 is used as a case study, in which the SDIIM is used to analyze the inoperability and dynamic output values recovery of sectors caused by a value-added disturbance. The SDIIM is shown to effectively compute interdependent inoperability and economic losses, which can provide valuable insights into risk assessment and the management of interdependent infrastructure systems and sectors of the economy.
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Acknowledgments
This study was supported, in part, by the National Natural Science Foundation of China under Grant Nos. UNSPECIFIED2009B090300309 and UNSPECIFIED60903174 and also by the Fundamental Research Funds for the Central Universities under Grant Nos.UNSPECIFIED2010QN016 and UNSPECIFIED2010MS017. The authors are thankful for the reviewer’s comments and suggestions. The authors are also grateful for the contributions of Dr. Yongze Yan at the Huazhong University of Science and Technology, China, and Dr. Yangmin Ou at Rice University. The authors also very much appreciate the editorial assistance of Jessica Freeman.
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Published In
Journal of Infrastructure Systems
Volume 17 • Issue 4 • December 2011
Pages: 151 - 162
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Jul 15, 2010
Accepted: Apr 7, 2011
Published online: Jun 15, 2011
Published in print: Dec 1, 2011
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