期刊
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
卷 26, 期 1, 页码 10-21出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jlp.2012.08.001
关键词
Accident analysis model; Human Factors Analysis and Classification; System (HFACS); Bayesian Network (BN); Evidential Reasoning (ER) approach
资金
- Singapore's Agency for Science, Technology and Research (A*STAR) [0721340050]
- Poland's Ministry of Science and Higher Education (MSHE)
In this paper, an accident analysis model is proposed to develop the cost-efficient safety measures for preventing accidents. The model comprises two parts. In the first part, a quantitative accident analysis model is built by integrating Human Factors Analysis and Classification System (HFACS) with Bayesian Network (BN), which can be utilized to present the corresponding prevention measures. In the second part, the proposed prevention measures are ranked in a cost-effectiveness manner through Best-Fit method and Evidential Reasoning (ER) approach. A case study of vessel collision is analyzed as an illustration. The case study shows that the proposed model can be used to seek out accident causes and rank the derived safety measures from a cost-effectiveness perspective. The proposed model can provide accident investigators with a tool to generate cost-efficient safety intervention strategies. (C) 2012 Elsevier Ltd. All rights reserved.
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