Analysis of Electrical Power and Oil and Gas Pipeline Failures

  • Jeffrey Simonoff
  • Carlos Restrepo
  • Rae Zimmerman
  • Zvia Naphtali
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 253)

This paper examines the spatial and temporal distribution of failures in three critical infrastructure systems in the United States: the electrical power grid, hazardous liquids (including oil) pipelines, and natural gas pipelines. The analyses are carried out at the state level, though the analytical frameworks are applicable to other geographic areas and infrastructure types. The paper also discusses how understanding the spatial distribution of these failures can be used as an input into risk management policies to improve the performance of these systems, as well as for security and natural hazards mitigation.

Keywords: Electrical power, oil and gas pipelines, risk, count regression models


Poisson Regression Model Poisson Random Variable Overhead Transmission Line Critical Infrastructure Protection Natural Hazard Mitigation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. [1]
    B. Carreras, D. Newman, I. Dobson and A. Poole, Evidence for self- organized criticality in a time series of electric power system blackouts, IEEE Transactions on Circuits and Systems, vol. 51(9), pp. 1733-1740, 2004.CrossRefGoogle Scholar
  2. Edison Electric Institute, Statistical Yearbook of the Electric Utility Indus- try, Edison Electric Institute, Washington, DC, 2003.Google Scholar
  3. [3]
    M. Greenberg, N. Mantell, M. Lahr, F. Felder and R. Zimmerman, Short and intermediate economic impacts of a terrorist-initiated loss of electric power: Case study of New Jersey, Energy Policy, vol. 35(1), pp. 722-733, 2007.CrossRefGoogle Scholar
  4. North American Electric Reliability Council, Disturbance Analysis Work- ing Group (DAWG) Database, Princeton, New Jersey (, 2006.
  5. Office of Pipeline Safety, Pipeline Statistics, Pipeline and Hazardous Material Safety Administration, U. S. Department of Transportation, Washington, DC (ops. dot. gov/stats/stats. htm), 2007.Google Scholar
  6. Pipeline and Hazardous Materials Safety Administration, Pipeline ba- sics, U. S. Department of Transportation, Washington, DC (primis. phmsa. dot. gov/comm/PipelineBasics. htm), 2006.Google Scholar
  7. [7]
    C. Restrepo, J. Simonoff and R. Zimmerman, Unraveling geographic interdependencies in electric power infrastructure, Proceedings of the Thirty-Ninth Annual Hawaii International Conference on System Sciences, p. 248a, 2006.Google Scholar
  8. [8]
    C. Restrepo, J. Simonoff and R. Zimmerman, Vulnerabilities in the oil and gas sector, presented at the First Annual IFIP WG 11. 10 International Conference on Critical Infrastructure Protection, 2007.Google Scholar
  9. J. Simonoff, Analyzing Categorical Data, Springer-Verlag, New York, 2003. [10] J. Simonoff, C. Restrepo and R. Zimmerman, Risk management and risk analysis-based decision tools for attacks on electric power, to appear in Risk Analysis, 2007.Google Scholar
  10. [11]
    J. Simonoff, R. Zimmerman, C. Restrepo, N. Dooskin, R. Hartwell, J. Miller, W. Remington, L. Lave and R. Schuler, Electricity Case: Statistical Analysis of Electric Power Outages, Technical Report 05-013, Center for Risk and Economic Analysis of Terrorism Events, Los Angeles, California, 2005.Google Scholar
  11. [12]
    S. Talukdar, J. Apt, M. Ilic, L. Lave and M. Morgan, Cascading failures: Survival vs. prevention, Electricity Journal, vol. 16(9), pp. 25-31, 2003.CrossRefGoogle Scholar
  12. U. S. Census Bureau, Table HS-1 -Population: 1900-2002, Statistical Ab- stract of the United States, U. S. Department of Commerce, Washington, DC, (, 2003.
  13. U. S. Census Bureau, Table HS-43 -Energy supply and disposition by type of fuel: 1949-2002, Statistical Abstract of the United States, U. S. Depart-ment of Commerce, Washington, DC ( ), 2003.
  14. [15]
    R. Zimmerman, Critical infrastructure and interdependency, in The McGraw-Hill Homeland Security Handbook, D. Kamien (Ed. ), McGrawHill, New York, pp. 523-545, 2006.Google Scholar
  15. [16]
    R. Zimmerman and C. Restrepo, The next step: Quantifying infrastructure interdependencies to improve security, International Journal of Critical Infrastructures, vol. 2(2-3), pp. 215-230, 2006.CrossRefGoogle Scholar
  16. [17]
    R. Zimmerman, C. Restrepo, J. Simonoff and L. Lave, Risks and costs of a terrorist attack on the electricity system, in The Economic Costs and Consequences of Terrorism, H. Richardson, P. Gordon and J. Moore II (Eds. ), Edward Elgar, Cheltenham, United Kingdom, pp. 273-290, 2007.Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Jeffrey Simonoff
    • 1
  • Carlos Restrepo
    • 2
  • Rae Zimmerman
    • 3
  • Zvia Naphtali
    • 2
  1. 1.StatisticsNew York University's Stern School of BusinessNew YorkUSA
  2. 2.Institute for Civil Infrastructure SystemsWagner Graduate School of Public ServiceNew YorkUSA
  3. 3.Planning and Public AdministrationWagner Graduate School of Public ServiceNew YorkUSA

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