IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v262y2025ics0951832025004570.html
   My bibliography  Save this article

Analyzing the dynamic domino effect in fuel truck parking lots

Author

Listed:
  • Gholamizadeh, Kamran
  • Zarei, Esmaeil
  • BahooToroody, Ahmad

Abstract

Fuel truck parking lots are crucial components of transportation networks, facilitating the storage and organization of fuel trucks to ensure efficient fuel distribution. These facilities play a vital role in minimizing transportation delays and reducing emissions. However, the proximity of fuel tanks in these lots poses inherent risks, including fire, explosions, and domino accidents. The present study aimed to analyze the domino effect in fuel truck parking lots. To achieve this, a hybrid approach combining the Dempster-Shafer Theory (DST) method with the Bayesian networks (BNs) was employed for quantitative cause-consequence analysis. Additionally, empirical equations were utilized to model the consequences, followed by the dynamic analysis of the domino effect using the Multi-Agent (MA) method. The accuracy of the introduced hybrid method was evaluated through a case study conducted at one of the most sizable parking lots. The study demonstrated the effectiveness of proposed approach in quantifying risks and identifying mitigation strategies, highlighting its applicability in real-world scenarios. Moreover, the proposed hybrid model offers a scientifically rigorous framework for handling uncertainty, providing valuable insights for enhancing safety measures and mitigating risks in fuel truck parking lots.

Suggested Citation

  • Gholamizadeh, Kamran & Zarei, Esmaeil & BahooToroody, Ahmad, 2025. "Analyzing the dynamic domino effect in fuel truck parking lots," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
    • Handle: RePEc:eee:reensy:v:262:y:2025:i:c:s0951832025004570
    DOI: 10.1016/j.ress.2025.111256
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832025004570
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2025.111256?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.

    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:reensy:v:262:y:2025:i:c:s0951832025004570. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/reliability-engineering-and-system-safety .

    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.