Analyzing the dynamic domino effect in fuel truck parking lots

Kamran Gholamizadeh, Esmaeil Zarei and Ahmad BahooToroody

Reliability Engineering and System Safety, 2025, vol. 262, issue C

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.

Keywords: Parking lots; Domino effect analysis; Dempster-Shafer method; Bayesian network; Multi-agent analysis (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832025004570
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:262:y:2025:i:c:s0951832025004570

DOI: 10.1016/j.ress.2025.111256

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().