首页|The comprehensive safety assessment method for complex construction crane accidents based on scenario analysis - A case study of crane accidents

The comprehensive safety assessment method for complex construction crane accidents based on scenario analysis - A case study of crane accidents

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原文链接
  • NETL
  • NSTL
  • Elsevier
Crane accidents pose a significant safety hazard in the infrastructure construction process, making a scientifically reliable safety assessment crucial. Addressing the limitations of traditional methods in adequately considering the complexity of crane accidents, this study proposes a safety assessment model based on Scenario Analysis Theory (SAT) and an improved Bayesian Network (BN) algorithm. The model constructs accident scenario elements, utilizes improved BN to model influencing factors and their interactions, and designs safety assessment functions for a quantitative analysis of crane accident safety. This study demonstrates that the proposed safety assessment model more comprehensively reflects the dynamic evolution of crane accidents. It provides more accurate and interpretable assessment outcomes, significantly aiding in risk prediction and decision-making for emergency management. Key stakeholders, including site management teams, and regulatory bodies, can leverage these findings to enhance emergency management capabilities and reduce the risk of accidents in construction projects.

Scenario Analysis TheoryImproved Bayesian NetworkCrane AccidentsSafety AssessmentEmergency Management

Wei He、Zelong Lin、Wei Li、CJ Wong、Dewei Kong、W.M. Edmund Loh

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College of Civil Engineering and Mechanics, Yanshan University, Qinhuangdao 066000, China||Hebei Key Laboratory of Green Construction and Intelligent Maintenance for Civil Engineering, Yanshan University, Qinhuangdao 066000, China

College of Civil Engineering and Mechanics, Yanshan University, Qinhuangdao 066000, China

National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China

School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia

College of Information Science and Engineering, Yanshan University, Qinhuangdao 066000, China

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2025

10.1016/j.cie.2024.110716

Computers & industrial engineering: An international journal

Computers & industrial engineering: An international journal

ISSN：0360-8352
年,卷(期)：2025.199(Jan.)
  • 79