AI Article Synopsis
- - Construction safety is crucial as accidents can lead to significant property damage and loss of life, prompting research into their causes.
- - The study introduces a hybrid approach that combines the Human Factors Analysis and Classification System (HFACS) with Complex Network (CN) theory to analyze 863 construction accident cases and identify 46 causal factors.
- - By establishing an accident causal network, the research reveals six critical factors influencing accidents, enhancing the understanding of both the HFACS framework and CN theory, ultimately improving safety management in the construction sector.
Article Abstract
Construction safety is of significance since construction accidents can result in loss of property and large numbers of casualties. This research aims to identify the critical causes of construction accidents by introducing a hybrid approach. The hybrid approach is developed to identify the critical causes of construction accidents by combining the human factors analysis and classification system (HFACS) model with complex network (CN) theory. A total of 863 construction accident cases were collected, and 46 causal factors were identified. Subsequently, the accident causal network was established, and six critical causal factors were extracted. The hybrid analysis approach is demonstrated with a real construction accident case, and the results demonstrate that the hybrid approach could better identify the critical causal factors. Consequently, this research enables the enhancement of understanding the HFACS framework and CN theory, as well as a contribution to safety management in the construction industry at different levels.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/10803548.2024.2308453 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Development of targeted safety hazard management plans utilizing multidimensional association rule mining.
Heliyon
December 2024
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Investigating hidden hazards and implementing closed-loop management are essential strategies for accident prevention in the mining industry. This study tackles a key challenge in applying association rule mining to the development of hazard management plans for underground mines. The current approach mainly focuses on hazard description data, often underutilizing critical information such as hazard time and location.
View Article and Find Full Text PDFConstruction and validation of an educational game on biosafety in the central sterile supply department.
Rev Bras Enferm
December 2024
Universidade Federal do Paraná. Curitiba, Paraná, Brazil.
Objectives: to construct and validate an educational game on biosafety in the Central Sterile Supply Department of a hospital in Curitiba, PR.
Methods: the study was conducted using a quantitative approach, employing applied and technological research with an exploratory design. The process was divided into six stages, from the definition of the theme to the validation and application of the game.
Elaboration and validity of admission and discharge checklists in Neonatal Intensive Care Units.
Rev Gaucha Enferm
December 2024
Universidade Federal de Minas Gerais, Escola de Enfermagem, Departamento de Enfermagem Materno Infantil, Belo Horizonte, Minas Gerais, Brasil.
Objective: To develop and validate the content of checklists for safe admission and discharge in Neonatal Intensive Care Units.
Methods: A methodological study conducted between 2018 and 2020 in four stages: 1) literature review; 2) checklist construction; 3) content validity by 32 neonatal nursing specialists from different Brazilian states, predominantly from the southeastern region; 4) development of the final version of the instruments. Validity was performed using a Likert-type scale.
Multi-level Hierarchical Structure Analysis of Influencing Factors of Coal Mine Managers' Blame Avoidance Behavior.
Saf Health Work
December 2024
College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, Shaanxi, China.
Background: In the Chinese coal industry, widespread blame avoidance behavior (BAB) greatly impacts coal mine accidents. Therefore, it is necessary to stop the BAB of coal mine managers and raise the management level of coal mine enterprises for the safe development of Chinese coal industry.
Methods: Based on the semi-structured interviews and questionnaire surveys (20 middle-level managers in coal mines), this paper used the Grounded Theory and Nvivo Software qualitative research methodology to open, spindle, and selectively encode the interview data.
Correction method for ionization chamber dosimetry in flattening filter free radiotherapy based on Monte Carlo simulation.
Med Phys
December 2024
Division of Ionizing Radiation Metrology, National Institute of Metrology (NIM), Beijing, China.
Background: The clinical use of flattening filter free (FFF) radiotherapy has significantly increased in recent years due to its effective enhancement of dose rates and reduction of scatter dose. A proposal has been made to adjust the incident electron angle of the accelerator to expand the application of FFF beams in areas such as large planning target volumes (PTVs). However, the inherent softening characteristics and non-uniformity of lateral dose distribution in FFF beams inevitably lead to increased dosimetry errors, especially for ionization chambers widely used in clinical practice, which may result in serious accidents during FFF radiotherapy.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!