Exploring safety capacity from a risk and safety information integration perspective: Connotation, dimension mining...

Area of Science:

• Safety Science
• System Safety Analysis
• Theoretical Frameworks

Background:

• Safety capacity (SC) research currently lacks a robust theoretical foundation, focusing primarily on quantitative modeling for practical engineering problems.
• Existing SC research overlooks theoretical depth, necessitating an enriched understanding of its integrated theoretical system and connotation.
• The practical application of SC is widespread, yet its theoretical underpinnings require significant development.

Purpose of the Study:

• To enrich the theoretical connotation of safety capacity (SC) by addressing the lack of integrated theory.
• To establish new research directions for SC, specifically dimension mining (DM) and dimensionality reduction (DR).
• To demonstrate the practical utility of the redefined SC through a case study.

Main Methods:

• Redefining the theoretical connotation of SC.
• Applying safety similarity theory for dimension mining (DM) of SC.
• Summarizing and correcting the application of dimensionality reduction (DR) methods in SC research.
• Utilizing fault tree analysis (FTA) in a case study for DR of SC.

Main Results:

• A redefined theoretical connotation for SC, addressing theoretical gaps.
• Proposed core principles for DM of SC, leveraging safety similarity theory.
• A corrected and comprehensive understanding of DR in SC research.
• Successful application of DR of SC in analyzing a boiler explosion accident.

Conclusions:

• The redefined SC and its associated DM and DR methods offer a more comprehensive approach to system safety analysis.
• The study validates the practical applicability of the proposed SC framework in real-world accident investigations.
• Findings have significant implications for advancing both theoretical research and practical applications of safety capacity.