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June 14, 2026Engineering Construction & Architectural Management

Data-driven analysis of key factors in building fire risk

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Authors

WZWeixuan ZhengYHYuzhao HuangWHWenwei Huang

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Overview

Randomized trial examines risk factors in building fires, indicating pathways for improved safety strategies.

Key Points

  • The study aims to analyze and identify key factors contributing to building fire risks through sophisticated data-driven methods.
  • Applied a framework using Text Mining, Association Rule Mining, and Complex Networks on 853 verified accident reports.
  • Extracted 51 factors using the TF-IDF algorithm and constructed a Coupled Risk Index for risk quantification.
  • Evaluated the topology and robustness using targeted attack simulations.
  • Identified a 'convergence-type' mechanism related to 'Lack of Fire Safety Training' in productive scenarios.
  • Revealed a 'divergent' mechanism linked to systemic and organizational flaws in non-productive scenarios.
  • Demonstrated that targeting high-importance nodes and high-vulnerability edges enhances governance under resource constraints.

Cite This Study

Zheng et al. (2026) studied this question.

synapsesocial.com/papers/6a2e4753b1cc60ccdea8bcf5https://doi.org/10.1108/ecam-01-2026-0125
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