Assessing railway accident risk through event tree analysis

Khalid, Nur Izyan Mustafa; Najdi, Nur Farah Najeeha; Adlee, Nurul Faziera Khairul; Misiran, Masnita; Sapiri, Hasimah

doi:10.1063/1.5121060

Cited by 7 publications

(4 citation statements)

References 18 publications

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“…Crawford [5] categorizes factors into human error, design errors, control room errors, and maintenance errors. Khalid et al [6] suggest a division based on error, inexperience, or fatigue. Rungskunroch et al [7] present a more comprehensive classification with seven groups, including driver error, signal operator error, infrastructure failure, equipment failure, human error, natural causes, and contributory factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Operational Elements Influencing the Occurrence of Unfavorable Incidents in the Railway System.

Ram B. Ghogare, Swapnaja Amol Ubale, R. M. Avchar

2024

jes

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The article delves into the intricacies of rail transport, addressing the repercussions of adverse events such as delays, incidents, and accidents within the railway system. It explores the impact of disruptions on the day-to-day responsibilities of railway employees, with a primary focus on Station managers. The study employs two distinct approaches: first, an experimental analysis involving traffic management personnel, where factors contributing to failures are examined through a questionnaire survey. Second, a comprehensive perspective is taken by leveraging expert knowledge, combined with Fault Tree Analysis and Event Tree Analysis methodologies. This combination is used to illustrate how alterations in the system, including erroneous decisions, can lead to subsequent undesirable events.

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Section: Literature Reviewmentioning

confidence: 99%

Operational Elements Influencing the Occurrence of Unfavorable Incidents in the Railway System.

Ram B. Ghogare, Swapnaja Amol Ubale, R. M. Avchar

2024

jes

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“…According to Dinmohammadi et al [16], one of the open and challenging areas still available in railway infrastructure research is the need for a practical methodology that can cope with the uncertainty of information for analyzing and mitigating the risks associated with the failure mechanism of the railway infrastructure components at a system level. The currently available methods used in the railway industry include the fault tree analysis method [18,19], the event tree analysis method [20], the Monte Carlo simulation model [21], the consequence analysis method [22], and the equivalent fatality analysis method [23]. These methods, however, all rely heavily on the availability and accuracy of reliability-related data, which in most cases are not readily available.…”

Section: Introductionmentioning

confidence: 99%

A Proactive Decision-Making Model for Evaluating the Reliability of Infrastructure Assets of a Railway System

Aikhuele,

Sorooshian

2024

Information

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Railway infrastructure is generally classified as either fixed or movable infrastructure assets. Failure in any of the assets could lead to the complete shutdown and disruption of the entire system, economic loss, inconvenience to passengers and the train operating company(s), and can sometimes result in death or injury in the event of the derailment of the rolling stock. Considering the importance of the railway infrastructure assets, it is only necessary to continuously explore their behavior, reliability, and safety. In this paper, a proactive multi-criteria decision-making model that is based on an interval-valued intuitionistic fuzzy set and some reliability quantitative parameters has been proposed for the evaluation of the reliability of the infrastructure assets. Results from the evaluation show that the failure mode ‘Broken and defective rails’ has the most risk and reliability concerns. Hence, priority should be given to the failure mode to avoid a total system collapse.

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“…Another aspect to be taken into consideration while designing LNG-related scenarios is the context of an incident. Such incidents might be elaborated for LNG storage tanks [ 17 ], pipelines, railway or road transportation [ 18 ]. As already argued, there are increasing quantities of LNG in use all over Europe, including LNG transportation.…”

Section: Introductionmentioning

confidence: 99%

Conventional Event Tree Analysis on Emergency Release of Liquefied Natural Gas

Zwęgliński

2022

IJERPH

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Liquefied natural gas (LNG) is stored in facilities located in urban areas and transported over public roads. A shift towards the broader use of LNG is economically and environmentally justified. However, it triggers an obvious need for an investigation of LNG risk through elaboration and validation of potential scenarios that the hazard might generate if it materialises. This background knowledge and past experiences were elaborated in the course of a literature review and field experiments towards designing the conventional event trees on LNG emergency release for three different units, such as a storage tank, a pipeline and in road or railway transportation. The research allowed us to answer the following question: what are the key scenario lines LNG incidents might follow? Thus, it constitutes a valuable tool for designing, planning, organising, executing and evaluating trainings and exercises on LNG emergencies.

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Assessing railway accident risk through event tree analysis

Cited by 7 publications

References 18 publications

Operational Elements Influencing the Occurrence of Unfavorable Incidents in the Railway System.

Operational Elements Influencing the Occurrence of Unfavorable Incidents in the Railway System.

A Proactive Decision-Making Model for Evaluating the Reliability of Infrastructure Assets of a Railway System

Conventional Event Tree Analysis on Emergency Release of Liquefied Natural Gas

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