Assessment, Management and Visualization of Critical InfraSystem Interdependencies

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PRINCIPAL INVESTIGATORS Ping Chen, Dept. of
Civil and Environmental Engineering Chris
Hendrickson, Professor, Dept. of Civil and
Environmental Engineering James Garrett Jr,
Professor, Dept. of Civil and Environmental
Engineering H Scott Matthews, Assistant
Professor, Dept. of Civil and Environmental
Engineering
Assessment, Management and Visualization of
Critical InfraSystem Interdependencies
Problem Statement
Intensified Interdependencies among critical
infrastructures expanded and improved the
services and products they have provided.
However, at the same time, multiple interruption
sources and various dependence-related
vulnerabilities have been created and threatened
the reliability of these infrasystems. Therefore,
evaluation of the security of our critical
infrastructure systems needs the examination of
the interdependencies among them and overall
assessment of the dependence-related disruptions.
Research Objective

• Develop a model to better understand and evaluate
  the dependence-related infrastructure
  disruptions.
• Quantitatively assess the dependences between
  these infrastructure sectors the changes to the
  economy that result from these interdependencies
  and the response time of economic sectors to any
  changes using tangible and representative data.
• Evaluate infrastructure security and
  survivability in the total supply chain
  connections.
• Recommend for infrastructure related policies and
  regulatory issues, such as resource allocation
  strategies in securing critical infrastructure
  sectors.

Modeling and Methods
Dependence-related Interruptions

• Economic Input Output Model details the monetary
  purchases and economic dependences between 500
  economic sectors, including selected
  infrastructure sectors and it explicitly solves
  the demand driven interruption estimation
  problem.
• Investigate the relevant infrastructure
  industries of their empirical assessment of the
  impact from failure of acquiring the supply from
  depended infrastructure sectors by designing and
  collecting surveys.
• Modified EIO Model considers the above influences
  from supply to demand sector and count these
  effects in the EIO transaction model. The
  modified EIO Model can be used in estimating the
  supply driven disruptions.
• The overall interruptions are the summary of
  direct and indirect ones.
• Scenarios analysis (1) The evolution of economic
  transaction network in the past 50 years and the
  scale and magnitude of effects from various
  influential factors (2) Localized supply chain
  disruption estimations using transportation
  satellite account.

Type I It is caused by changed demand and born
by the supply sectors. The instances include
technology reformation, reduced customer interest
after terrorist attacks, etc. on the demand
sectors.
Type II It is caused by changed supply and born
by the demand sectors. The instances include
system failure, natural disaster, etc on the
supply sectors.
Disruption Propagation and Interdependence
Visualization
Survey Response of short term disruption impact
vs. Economic Transactions
Expected Contributions

• Innovative model that can measure and evaluate
  the dependencies between infrastructure sectors
• Both qualitative and quantitative assessment of
  dependence-driven infrastructure interruptions
• Recommendations for resource allocation among
  infrastructure sectors to maximize the security
  and reliability effect
• Assess the security and reliability of
  infrastructures under their interconnections