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Use of evidential reasoning and AHP to assess regional industrial safety
- Source :
- PLoS ONE, Vol 13, Iss 5, p e0197125 (2018), PLoS ONE
- Publisher :
- PUBLIC LIBRARY SCIENCE
-
Abstract
- China’s fast economic growth contributes to the rapid development of its urbanization process, and also renders a series of industrial accidents, which often cause loss of life, damage to property and environment, thus requiring the associated risk analysis and safety control measures to be implemented in advance. However, incompleteness of historical failure data before the occurrence of accidents makes it difficult to use traditional risk analysis approaches such as probabilistic risk analysis in many cases. This paper aims to develop a new methodology capable of assessing regional industrial safety (RIS) in an uncertain environment. A hierarchical structure for modelling the risks influencing RIS is first constructed. The hybrid of evidential reasoning (ER) and Analytical Hierarchy Process (AHP) is then used to assess the risks in a complementary way, in which AHP is hired to evaluate the weight of each risk factor and ER is employed to synthesise the safety evaluations of the investigated region(s) against the risk factors from the bottom to the top level in the hierarchy. The successful application of the hybrid approach in a real case analysis of RIS in several major districts of Beijing (capital of China) demonstrates its feasibility as well as provides risk analysts and safety engineers with useful insights on effective solutions to comprehensive risk assessment of RIS in metropolitan cities. The contribution of this paper is made by the findings on the comparison of risk levels of RIS at different regions against various risk factors so that best practices from the good performer(s) can be used to improve the safety of the others.
- Subjects :
- Critical Care and Emergency Medicine
Computer science
Economics
0211 other engineering and technologies
Analytic hierarchy process
Social Sciences
lcsh:Medicine
02 engineering and technology
Occupational safety and health
Accident Prevention
Cognition
Beijing
Risk analysis (business)
Risk Factors
11. Sustainability
0202 electrical engineering, electronic engineering, information engineering
Medicine and Health Sciences
Psychology
Data Mining
Industrial Development
Public and Occupational Health
lcsh:Science
Statistical Data
Data Management
Multidisciplinary
Probabilistic risk assessment
Evidential reasoning approach
Risk factor (computing)
Risk analysis (engineering)
HD61
Physical Sciences
Engineering and Technology
HD28
020201 artificial intelligence & image processing
Economic Development
Safety
Risk assessment
Information Technology
Statistics (Mathematics)
Research Article
Risk analysis
Employment
Computer and Information Sciences
Decision Making
Fire Safety
Risk Assessment
Safety engineering
Humans
Risk factor
Occupational Health
021110 strategic, defence & security studies
Models, Statistical
Urbanization
lcsh:R
Cognitive Psychology
Biology and Life Sciences
Reasoning
Fire Engineering
Accidents
Labor Economics
Cognitive Science
lcsh:Q
Mathematics
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Database :
- OpenAIRE
- Journal :
- PLoS ONE, Vol 13, Iss 5, p e0197125 (2018), PLoS ONE
- Accession number :
- edsair.doi.dedup.....ace7151c800c6a1055a2492d0f4acf9d