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      An Interactive Model among Potential Human Risk Factors: 331 Cases of Coal Mine Roof Accidents in China

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          Abstract

          In order to explore optimal strategies for managing potential human risk factors, this paper developed an interactive model among potential human risk factors based on the development processes of accidents. This model was divided into four stages, i.e., risk latency stage, risk accumulation stage, risk explosion stage and risk residue stage. Based on this model, this paper analyzed risk management procedures and relevant personal’s responsibility in each stage, and then probed into the interactive mechanism among human risk factors in three aspects, i.e., knowledge, information and communication. The validity and feasibility of the model was validated by analyzing a coal mine roof accident in China. In addition, the contribution of different functional levels’ personnel in risk evolution was discussed. It showed that this model can effectively reveal the interactive mechanism of potential human risk factors, and can thus give significant insights into the development of risk management theories and practices. It also proves that the contribution of different functional levels’ personnel in the model is different. This can further help practitioners design enhanced Behavioral-Based Safety (BBS) intervention approaches which can have a more sustainable and persistent impact on corporate personnel’s safety behavior. Specific recommendations and suggestions are provided fundamentally for future BBS practices in the coal mine industry.

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          Most cited references 74

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          On The Quantitative Definition of Risk

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            The concept of probability in safety assessments of technological systems.

             G Apostolakis (1990)
            Safety assessments of technological systems, such as nuclear power plants, chemical process facilities, and hazardous waste repositories, require the investigation of the occurrence and consequences of rare events. The subjectivistic (Bayesian) theory of probability is the appropriate framework within which expert opinions, which are essential to the quantification process, can be combined with experimental results and statistical observations to produce quantitative measures of the risks from these systems. A distinction is made between uncertainties in physical models and state-of-knowledge uncertainties about the parameters and assumptions of these models. The proper role of past and future relative frequencies and several issues associated with elicitation and use of expert opinions are discussed.
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              Highway accident severities and the mixed logit model: An exploratory empirical analysis

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                01 June 2018
                June 2018
                : 15
                : 6
                Affiliations
                [1 ]School of Resources & Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; tongruipeng@ 123456126.com (R.T.); zhaicunli@ 123456163.com (C.Z.); jiaqingli@ 123456163.com (Q.J.)
                [2 ]School of Economics and Management, Beihang University, Beijing 100191, China
                [3 ]Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beihang University, Beijing 100191, China
                [4 ]Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands; y.liu-9@ 123456tudelft.nl
                [5 ]School of Safety Engineering, China University of Labor Relations, Beijing 100048, China; xuesurui@ 123456126.com
                Author notes
                [* ]Correspondence: wuchunlin@ 123456buaa.edu.cn ; Tel.: +86-151-1693-8794
                ijerph-15-01144
                10.3390/ijerph15061144
                6025142
                29865150
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

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