Constructing Datasets for Dependency Analysis of Critical Infrastructure: Bridging Knowledge Gaps through Spatial and Semi-Automated Analysis

Authors: Ryan Hruska, Idaho National Laboratory, Rob Edsall*, Idaho National Laboratory
Topics: Geographic Information Science and Systems, Hazards and Vulnerability, Applied Geography
Keywords: GIS, cartography, applied, infrastructure, hazards, risk, resilience
Session Type: Paper
Day: 4/5/2019
Start / End Time: 5:00 PM / 6:40 PM
Room: Hoover, Marriott, Mezzanine Level
Presentation File: No File Uploaded


Idaho National Laboratory works with government partners to analyze the complex infrastructure systems of the US that enable the provision of critical commodities and resources (e.g., power, fuels, water, communications, and others) across the country. Part of this mission is the cataloguing and understanding of both the locations (and characteristics) of individual assets in individual systems, and, importantly, the dependencies of those assets to other nodes in overlapping infrastructure networks. Knowing these relationships enables emergency planning for, and recovery efforts following, a natural or human-caused hazard. Understanding these dependencies has, until now, been done through a painstaking process of interviews, assessments, and reviews of records and incidents related to each and every node in the network. This has left sparse data about these connections – “missing” data in an age of data gluts – despite repeated calls from emergency personnel, law enforcement, and planners in their efforts to maintain or increase national, regional, and community resilience. At INL, this process has been made more efficient by the development of the All Hazards Analysis framework, which leverages concepts in geographic information science, data science, graph theory, and machine learning to build out datasets which include these connections. We will present these approaches as a means of building knowledge amidst data scarcity; using our approaches, we are now “wiring up the US” at a national scale to help government and lab analysts examine cascading impacts, particular vulnerabilities, and remediation strategies to strengthen the infrastructure crucial to national and societal functions.

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