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Multi-Domain, Locational Risk Models for Critical Infrastructure: Influence via Real Estate Transactions

Research output: Contribution to conferencePaperpeer-review

Abstract

Critical infrastructure owners and operators face a myriad of threats posed by sabotage, cyber intrusion, and supply chain disruptions. Locational risk---the role of proximity on the ability to implement adversarial tactics---is an increasingly important aspect of risk for the Energy Sector to assess. Real Estate ownership and associated property rights can support adversarial interests with multiple, legal avenues to access, develop, control, or monitor critical infrastructure. This paper provides three contributions to motivate a methodology to assess locational risk. First, this paper catalogs property rights and their potential for adversarial tactics as attested to by historical
incidents and legislation. Second, we survey methods from spatial statistics and social network analysis to measure locational risk in geospatial and organizational domains. Finally, we present initial results of case studies in Texas and Hawaii to illustrate how organizational influence varies with geospatial extent.
Original languageAmerican English
StatePublished - Jul 19 2026
EventIEEE PES General Meeting - Montreal, Canada
Duration: Jul 19 2026Jul 23 2026

Conference

ConferenceIEEE PES General Meeting
Country/TerritoryCanada
CityMontreal
Period07/19/2607/23/26

Keywords

  • critical infrastructure
  • energy resources
  • business organization
  • risk analysis
  • supply chain management

INL Publication Number

  • INL/CON-25-89079
  • 213205

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