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

Failure evolution model Industrial accident Information processing Major accidents (MAs) Prevention and control

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 16 05 2023
revised: 17 08 2023
accepted: 30 08 2023
medline: 9 10 2023
pubmed: 9 10 2023
entrez: 9 10 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37809582
doi: 10.1016/j.heliyon.2023.e19684
pii: S2405-8440(23)06892-5
pmc: PMC10558939
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e19684

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

Environ Pollut. 2020 Aug;263(Pt B):114493
pubmed: 32302876
Int J Environ Res Public Health. 2022 Aug 16;19(16):
pubmed: 36011759
J Loss Prev Process Ind. 2021 Sep;72:104583
pubmed: 36568490

Auteurs

Guirong Zhang (G)

School of Public Administration, Central South University, 410083 Changsha, PR China.

Shuai Wang (S)

School of Public Administration, Central South University, 410083 Changsha, PR China.

Wei Feng (W)

School of Public Administration, Central South University, 410083 Changsha, PR China.

Wanfu Ouyang (W)

School of Public Administration, Central South University, 410083 Changsha, PR China.

Classifications MeSH