Vulnerability analysis of Manhattan's motor fuel supply chain network

The authors extend the concept of a critical infrastructure (CI) network's vulnerability and advance a methodological approach for identifying the vulnerability of a CI extended over a large expanse of space - Manhattan's motor fuel supply chain - in the face of extreme weather events. In the methodological approach, they search for the network's disrupted component(s) having the maximum impact on the spatially extensive network's operability if maintained or repaired. To do so, the authors developed a bi-stage mixed integer stochastic mathematical program to rank disrupted elements that are the best candidates for fortifying investments. Simulation experiments with the model reveal that its solution identifies a different set of vulnerable components than are identified through the most commonly employed approach. Model results also indicate that a CI network's vulnerability in the face of extreme weather events is highly responsive to network topology in time of disaster and the objective function defined by the modeller.

• Record URL:
  • https://doi.org/10.1504/IJCIS.2019.098837
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/54690957
• Supplemental Notes:
  • Copyright © 2018 Inderscience Enterprises Ltd.
• Authors:
  • Beheshtian, Arash
  • Donaghy, Kieran
  • Zhang, Xue
  • Geddes, Rick
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 163-180
• Serial:
  • International Journal of Critical Infrastructures
  • Volume: 15
  • Issue Number: 2
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1475-3219

Subject/Index Terms

• TRT Terms: Climate change; Disaster resilience; Mixed integer programming; Motor fuels; Risk assessment; Service disruption; Simulation; Supply chain management
• Uncontrolled Terms: Critical infrastructure; Extreme events
• Geographic Terms: Manhattan (New York, New York)
• Subject Areas: Energy; Environment; Freight Transportation; Planning and Forecasting; Security and Emergencies;

Filing Info

• Accession Number: 01706805
• Record Type: Publication
• Files: TRIS
• Created Date: May 29 2019 5:07PM