IDEAS home Printed from https://ideas.repec.org/a/eee/ijocip/v2y2009i1p38-50.html
   My bibliography  Save this article

Causes, cost consequences, and risk implications of accidents in US hazardous liquid pipeline infrastructure

Author

Listed:
  • Restrepo, Carlos E.
  • Simonoff, Jeffrey S.
  • Zimmerman, Rae

Abstract

In this paper the causes and consequences of accidents in US hazardous liquid pipelines that result in the unplanned release of hazardous liquids are examined. Understanding how different causes of accidents are associated with consequence measures can provide important inputs into risk management for this (and other) critical infrastructure systems. Data on 1582 accidents related to hazardous liquid pipelines for the period 2002–2005 are analyzed. The data were obtained from the US Department of Transportation’s Office of Pipeline Safety (OPS). Of the 25 different causes of accidents included in the data the most common ones are equipment malfunction, corrosion, material and weld failures, and incorrect operation. This paper focuses on one type of consequence–various costs associated with these pipeline accidents–and causes associated with them. The following economic consequence measures related to accident cost are examined: the value of the product lost; public, private, and operator property damage; and cleanup, recovery, and other costs. Logistic regression modeling is used to determine what factors are associated with nonzero product loss cost, nonzero property damage cost and nonzero cleanup and recovery costs. The factors examined include the system part involved in the accident, location characteristics (offshore versus onshore location, occurrence in a high consequence area), and whether there was liquid ignition, an explosion, and/or a liquid spill. For the accidents associated with nonzero values for these consequence measures (weighted) least squares regression is used to understand the factors related to them, as well as how the different initiating causes of the accidents are associated with the consequence measures. The results of these models are then used to construct illustrative scenarios for hazardous liquid pipeline accidents. These scenarios suggest that the magnitude of consequence measures such as value of product lost, property damage and cleanup and recovery costs are highly dependent on accident cause and other accident characteristics. The regression models used to construct these scenarios constitute an analytical tool that industry decision-makers can use to estimate the possible consequences of accidents in these pipeline systems by cause (and other characteristics) and to allocate resources for maintenance and to reduce risk factors in these systems.

Suggested Citation

  • Restrepo, Carlos E. & Simonoff, Jeffrey S. & Zimmerman, Rae, 2009. "Causes, cost consequences, and risk implications of accidents in US hazardous liquid pipeline infrastructure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(1), pages 38-50.
    • Handle: RePEc:eee:ijocip:v:2:y:2009:i:1:p:38-50
    DOI: 10.1016/j.ijcip.2008.09.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1874548208000127
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijcip.2008.09.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rae Zimmerman & Carlos E. Restrepo & Jeffrey S. Simonoff & Lester B Lave, 2007. "Risk and Economic Costs of a Terrorist Attack on the Electric System," Chapters, in: Harry W Richardson & Peter Gordon & James E. Moore II (ed.), The Economic Costs and Consequences of Terrorism, chapter 14, Edward Elgar Publishing.
    2. Jeffrey S. Simonoff & Carlos E. Restrepo & Rae Zimmerman, 2007. "Risk‐Management and Risk‐Analysis‐Based Decision Tools for Attacks on Electric Power," Risk Analysis, John Wiley & Sons, vol. 27(3), pages 547-570, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vaezi, Ali & Verma, Manish, 2018. "Railroad transportation of crude oil in Canada: Developing long-term forecasts, and evaluating the impact of proposed pipeline projects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 98-111.
    2. Qianxiang Zhu & Yuanqing Qin & Yue Zhao & Zhou Chunjie, 2020. "A hierarchical colored Petri net–based cyberattacks response strategy making approach for critical infrastructures," International Journal of Distributed Sensor Networks, , vol. 16(1), pages 15501477198, January.
    3. Siler-Evans, Kyle & Hanson, Alex & Sunday, Cecily & Leonard, Nathan & Tumminello, Michele, 2014. "Analysis of pipeline accidents in the United States from 1968 to 2009," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(4), pages 257-269.
    4. Moahamed Younes El Bouti & Mohamed Allouch, 2018. "Analysis of 801 Work-Related Incidents in the Oil and Gas Industry That Occurred Between 2014 and 2016 in 6 Regions," Energy and Environment Research, Canadian Center of Science and Education, vol. 8(1), pages 1-32, June.
    5. Zhao-ge Liu & Xiang-yang Li & Dilawar Khan Durrani, 2021. "Generating evacuation task plans for community typhoon emergencies: an integration of case-driven and model-driven approaches," Operational Research, Springer, vol. 21(1), pages 745-774, March.
    6. Singh, Abhishek Narain & Gupta, M.P. & Ojha, Amitabh, 2014. "Identifying critical infrastructure sectors and their dependencies: An Indian scenario," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(2), pages 71-85.
    7. Zhang, Qiongfang & Xu, Nan & Ersoy, Daniel & Liu, Yongming, 2022. "Manifold-based Conditional Bayesian network for aging pipe yield strength estimation with non-destructive measurements," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    8. Liu, Shengli & Liang, Yongtu, 2021. "Statistics of catastrophic hazardous liquid pipeline accidents," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    9. Babak Omidvar & Hamid Karimi Kivi, 2016. "Multi-hazard failure probability analysis of gas pipelines for earthquake shaking, ground failure and fire following earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 703-720, May.
    10. Aalirezaei, Armin & Kabir, Dr. Golam & Khan, Md Saiful Arif, 2023. "Dynamic predictive analysis of the consequences of gas pipeline failures using a Bayesian network," International Journal of Critical Infrastructure Protection, Elsevier, vol. 43(C).
    11. Shengli, Liu & Yongtu, Liang, 2019. "Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).
    12. Rae Zimmerman, 2009. "Making Infrastructure Competitive in an Urban World," The ANNALS of the American Academy of Political and Social Science, , vol. 626(1), pages 226-241, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rae Zimmerman, 2009. "Making Infrastructure Competitive in an Urban World," The ANNALS of the American Academy of Political and Social Science, , vol. 626(1), pages 226-241, November.
    2. Shen, Lijuan & Tang, Loon Ching, 2019. "Enhancing resilience analysis of power systems using robust estimation," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 134-142.
    3. Jeffrey S. Simonoff & Carlos E. Restrepo & Rae Zimmerman, 2007. "Risk‐Management and Risk‐Analysis‐Based Decision Tools for Attacks on Electric Power," Risk Analysis, John Wiley & Sons, vol. 27(3), pages 547-570, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ijocip:v:2:y:2009:i:1:p:38-50. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-critical-infrastructure-protection .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.