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Related Experiment Videos

A risk-based approach for identifying key economic and infrastructure systems.

Kash Barker¹, Joost R Santos

¹School of Industrial Engineering, University of Oklahoma, 202 West Boyd Street, Room 124, Norman, OK 73019, USA. ashbarker@ou.edu

Risk Analysis : an Official Publication of the Society for Risk Analysis

|March 5, 2010

Summary

This study identifies critical infrastructure sectors by analyzing inventory dynamics and interdependencies. This helps policymakers focus on sectors most affected by and affecting disruptions, improving resilience.

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Area of Science:

Infrastructure resilience
Economic modeling
Risk management

Background:

Understanding infrastructure interdependencies is crucial for managing disruptive events.
Existing models may not fully capture inventory dynamics' impact on sector inoperability.
Policymakers need targeted strategies for critical infrastructure protection.

Purpose of the Study:

To introduce novel approaches for identifying key interdependent infrastructure sectors.
To enhance the understanding of how inventory dynamics influence sector inoperability.
To provide a framework for policymakers to prioritize critical infrastructure interventions.

Main Methods:

Integration of an inventory model with a risk-based interdependency model.
Development of the inventory dynamic inoperability input-output model.
Application of a case study using Bureau of Economic Analysis data on workforce-centered production.

Main Results:

Identification of key infrastructure sectors based on their interdependencies and inventory dynamics.
Quantification of sectors providing and receiving the most impact from inventory-caused delays.
Demonstration of practical insights for targeted policy interventions.

Conclusions:

The inventory dynamic inoperability input-output model effectively identifies critical infrastructure sectors.
Focusing on key sectors enhances the efficiency of policy interventions for infrastructure resilience.
Workforce-centered production analysis provides valuable insights into sector interdependencies.