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      A novel major accidents evolution model and its application in Chinese industrial accident

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          Abstract

          The accident mortality rate of major accidents (MAs) show that China is still in the bottleneck period of accident prevention and control. To further promote the MAs prevention and control, this paper presents a novel major accidents evolution model from the theoretical perspective of information processing (IP). Firstly, based on the safety science paradigm of accident prevention and the emergency management paradigm of accident control, a safety information processing (SIP) process is proposed. Secondly, established the SIP model for different stages of accident prevention and control, which involves danger information processing (DIP), potential hazard information processing (PHIP), risk information processing (RIP), and emergency information processing (EIP). Thirdly, revealed the SIP of various management subject and the failure principle of accident prevention and control, that is, MAs occur under the premise of continuous failures of DIP, PHIP, RIP, and EIP under the social-technical system. Finally, the DPRE-IP model is proposed from the whole evolution path of “danger-potential hazard-risk-accident”. To demonstrate the viability of the model, this model is applied to the “6·13” Wenling major explosion accident. The results show that the proposed DPRE-IP model can provide new ideas for the formulation of accident prevention and control measures and accident analysis.

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          Most cited references39

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          A Mathematical Theory of Communication

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            A new accident model for engineering safer systems

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              Human factors analysis of major coal mine accidents in China based on the HFACS-CM model and AHP method

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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                06 September 2023
                September 2023
                06 September 2023
                : 9
                : 9
                : e19684
                Affiliations
                [1]School of Public Administration, Central South University, 410083 Changsha, PR China
                Author notes
                []Corresponding author. School of Public Administration, Central South University, No. 22 South Shaoshan Road, Changsha 410083, PR China. 200201020@ 123456csu.edu.cn
                Article
                S2405-8440(23)06892-5 e19684
                10.1016/j.heliyon.2023.e19684
                10558939
                37809582
                6f68ee31-841d-4511-862e-dc029ebcfb80
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 16 May 2023
                : 17 August 2023
                : 30 August 2023
                Categories
                Research Article

                major accidents (mas),industrial accident,prevention and control,information processing,failure evolution model

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