An intelligent railway safety risk assessment support system for railway operation and maintenance analysis

Research output: Contribution to journalArticlepeer-review

Standard

Harvard

APA

Vancouver

Author

Bibtex

@article{b3cf33a852474198909c04d75ca2f4b7,
title = "An intelligent railway safety risk assessment support system for railway operation and maintenance analysis",
abstract = "The paper presents the development of an intelligent railway safety risk assessment based support system. The proposed method can evaluate qualitative and quantitative safety risk data and information in a uniform manner for railway safety risk assessment. It permits the safety risk analysts to assess the risks associated with the failure modes directly using linguistic terms, i.e. qualitative descriptors. The proposed intelligent railway safety risk assessment system is capable of assessing the risks at component level, sub-system level and system level. It can assess not only “hard” risks (e.g. risks of a system), but also “soft” risks (e.g. staff risks). The outcomes of safety risk assessment are represented in two formats, risk score and risk category with a belief of percentage, which provide very useful safety risk information to railway designers, operators, engineers and maintainers for risk response decision making. An illustrative example of staff risk assessment in a railway depot is used to demonstrate the proposed intelligent railway safety risk assessment system. The results indicate that by using the proposed system, risks associated with a railway depot can be assessed effectively and efficiently.",
keywords = "Railway safety, safety risk assessment, fuzzy reasoning approach, qualitative descriptor, staff safety risk assessment",
author = "Min An and Wanchang Lin and Alan Stirling",
year = "2013",
month = may,
day = "12",
doi = "10.2174/1874447801307010027",
language = "English",
volume = "7",
pages = "27--42",
journal = "The Open Transportation Journal",
issn = "1874-4478",
publisher = "Bentham Science Publishers",

}

RIS

TY - JOUR

T1 - An intelligent railway safety risk assessment support system for railway operation and maintenance analysis

AU - An, Min

AU - Lin, Wanchang

AU - Stirling, Alan

PY - 2013/5/12

Y1 - 2013/5/12

N2 - The paper presents the development of an intelligent railway safety risk assessment based support system. The proposed method can evaluate qualitative and quantitative safety risk data and information in a uniform manner for railway safety risk assessment. It permits the safety risk analysts to assess the risks associated with the failure modes directly using linguistic terms, i.e. qualitative descriptors. The proposed intelligent railway safety risk assessment system is capable of assessing the risks at component level, sub-system level and system level. It can assess not only “hard” risks (e.g. risks of a system), but also “soft” risks (e.g. staff risks). The outcomes of safety risk assessment are represented in two formats, risk score and risk category with a belief of percentage, which provide very useful safety risk information to railway designers, operators, engineers and maintainers for risk response decision making. An illustrative example of staff risk assessment in a railway depot is used to demonstrate the proposed intelligent railway safety risk assessment system. The results indicate that by using the proposed system, risks associated with a railway depot can be assessed effectively and efficiently.

AB - The paper presents the development of an intelligent railway safety risk assessment based support system. The proposed method can evaluate qualitative and quantitative safety risk data and information in a uniform manner for railway safety risk assessment. It permits the safety risk analysts to assess the risks associated with the failure modes directly using linguistic terms, i.e. qualitative descriptors. The proposed intelligent railway safety risk assessment system is capable of assessing the risks at component level, sub-system level and system level. It can assess not only “hard” risks (e.g. risks of a system), but also “soft” risks (e.g. staff risks). The outcomes of safety risk assessment are represented in two formats, risk score and risk category with a belief of percentage, which provide very useful safety risk information to railway designers, operators, engineers and maintainers for risk response decision making. An illustrative example of staff risk assessment in a railway depot is used to demonstrate the proposed intelligent railway safety risk assessment system. The results indicate that by using the proposed system, risks associated with a railway depot can be assessed effectively and efficiently.

KW - Railway safety

KW - safety risk assessment

KW - fuzzy reasoning approach

KW - qualitative descriptor

KW - staff safety risk assessment

U2 - 10.2174/1874447801307010027

DO - 10.2174/1874447801307010027

M3 - Article

VL - 7

SP - 27

EP - 42

JO - The Open Transportation Journal

JF - The Open Transportation Journal

SN - 1874-4478

ER -