PDE accident model from a safety information perspective and its application to Zhangjiakou fire and explosion accident

Bing Wang*, Zhaozhen Zhu, Chao Wu, Hong Jian Zhang, Xiuping Liao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Accident models can provide theoretical frameworks for determining the causes and mechanisms of accidents, and thus are theoretical bases for accident analysis and prevention. The role of safety information in accident causation is profound. Thus, safety information is an important and essential perspective for developing accident models. This study presents a new accident model developed from a safety information perspective, called the Prediction—Decision—Execution (PDE) accident model. Because the PDE accident model is an emerging accident model that was proposed in 2018, its analysis logic and viability remain to be discussed. Thus, the main contributions of this study include two aspects: (i) detailed explanation of the analysis logic of the PDE accident model, and (ii) case-study examination of the Zhangjiakou fire and explosion accident, a serious accident that occurred in China in 2018, to demonstrate the viability of the PDE accident model. Results show that this is a safety-information-driven accident model that can provide a new and effective methodology for accident analysis and prevention, and safety management.

Original languageEnglish
Article number104333
Pages (from-to)1-7
Number of pages7
JournalJournal of Loss Prevention in the Process Industries
Volume68
DOIs
Publication statusPublished - Nov 2020
Externally publishedYes

Keywords

  • Safety information
  • Prediction—Decision—Execution (PDE)
  • Accident model
  • Accident analysis
  • Accident prevention
  • Zhangjiakou fire and explosion accident

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