Modification of HFACS model for path identification of causal factors of collapse accidents in the construction industry

Engineering Construction & Architectural Management, Journal Year: 2024, Volume and Issue: unknown

Published: May 5, 2024

Purpose This study aims to modify the human factors analysis and classification system (HFACS) make it suitable for collapse accident in construction. Based upon modified HFACS, distribution patterns of causal across multiple levels were discerned among various stakeholders at construction sites. It explored correlations between two from different further determined causation paths perspectives level stakeholder. Design/methodology/approach The main research framework consisted data collection, coding analysis. Collapse reports collected with adequate information. HFACS was utilized all five each case. A hybrid approach stakeholder proposed frequency analysis, correlation path identification factors. Findings Eight external organizations fifth added original HFACS. Level-based analyses provided safety managers a holistic view inter-connected levels. Stakeholder-based its non-adjacent implemented based on client, government third parties. These identified useful develop specific plans avoiding accidents. Originality/value paper fulfils an need utilize model resulting accidents, which can provide opportunities tailoring preventive protective measures

Language: Английский

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Study on construction safety management in megaprojects from the perspective of resilient governance

Safety Science, Journal Year: 2024, Volume and Issue: 173, P. 106442 - 106442

Published: Feb. 1, 2024

Language: Английский

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Development and testing of immersive virtual reality environment for safe unmanned aerial vehicle usage in construction scenarios

Safety Science, Journal Year: 2024, Volume and Issue: 176, P. 106547 - 106547

Published: April 27, 2024

Language: Английский

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Analyzing Research Trends in Smart Construction Safety: A Topic Modeling Approach

Buildings, Journal Year: 2025, Volume and Issue: 15(4), P. 520 - 520

Published: Feb. 8, 2025

The construction industry is increasingly embracing smart technologies to enhance safety, efficiency, and sustainability. Despite their potential, the practical integration of such as digital twins, Internet Things (IoT), big data into safety management systems remains insufficiently explored. This study investigates how these can be effectively implemented improve outcomes. A systematic review literature conducted, culminating in development a conceptual framework for integrating systems. highlights application IoT, real-time monitoring, predictive risk management, resource optimization. findings reveal that significantly site by proactively identifying hazards, reducing accidents, improving allocation. Moreover, contribute environmental sustainability optimizing energy use lowering carbon emissions. research underscores dual benefits technological integration, advancing both objectives. While provides theoretical insights implications, further empirical across diverse environments necessary validate refine proposed framework.

Language: Английский

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Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches

Journal of Management in Engineering, Journal Year: 2023, Volume and Issue: 40(1)

Published: Oct. 5, 2023

To enhance the performance of learning from past fall-related accidents, this study developed an innovative framework for automatically extracting every individual causal factor accident investigation reports based upon modified human factors analysis and classification system. Multiple techniques including synthetic minority oversampling technique (SMOTE) algorithm handling imbalanced data, soft voting with unequal weights ensemble learning, hyperparameter optimization were adopted to improve automatic identification unstructured text data. Experimental results denoted there no classifiers best accuracy F1 score unanimously any 19 subcategories factors. Therefore, one or more specific preferred predicting performance. Further comparative analyses between seven demonstrated that model by (ELSV) could provide stable predictions low variance across different compared machine models. It was suggested ELSV ought be prioritized collectively identifying all These findings are beneficial substantial accidents high efficiency reliability, valuable insights can discerned utilized controlling risk fall-from-height at construction sites.

Language: Английский

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Are virtual reality applications effective for construction safety training and education? A systematic review and meta-analysis

Journal of Safety Research, Journal Year: 2023, Volume and Issue: 88, P. 230 - 243

Published: Dec. 2, 2023

Language: Английский

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EMERGING TRENDS IN CYBERSECURITY FOR CRITICAL INFRASTRUCTURE PROTECTION: A COMPREHENSIVE REVIEW

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(3), P. 576 - 593

Published: March 10, 2024

As critical infrastructure becomes increasingly interconnected and digitized, the need for robust cybersecurity measures to safeguard essential systems is more pressing than ever. This review article explores dynamic landscape of infrastructure, focusing on emerging trends, current challenges, future prospects. The historical overview delves into evolution cyber threats, emphasizing adaptive security measures. Key components are examined, elucidating specific challenges each sector faces. state analyzed, with a spotlight frameworks that guide organizations in bolstering their defenses. heart trends cybersecurity, covering artificial intelligence machine learning threat detection, IoT security, blockchain applications, advancements cloud computing security. Challenges threats horizon, including advanced persistent quantum implications, scrutinized provide insights potential vulnerabilities. Keywords: Cybersecurity; Critical Infrastructure; Artificial Intelligence; Internet-of-Things; Blockchain.

Language: Английский

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The Concept of Creating Digital Twins of Bridges Using Load Tests

Sensors, Journal Year: 2023, Volume and Issue: 23(17), P. 7349 - 7349

Published: Aug. 23, 2023

The paper sheds light on the process of creating and validating digital twin bridges, emphasizing crucial role load testing, BIM models, FEM models. At first, presents a comprehensive definition concept, outlining its core principles features. Then, framework for implementing concept in bridge facilities is discussed, highlighting potential applications benefits. One components highlighted testing validation updating model further use framework. Load emphasized as key step ensuring accuracy reliability twin, it allows refinement To illustrate practical application issues during tuning model, provides an example real bridge. It shows how utilized to generate computational model. results tests carried out are demonstrating importance data obtained from these calibrating which forms critical part

Language: Английский

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Navigating leadership styles through qualitative exploration for enhanced safety in the construction sector

Safety Science, Journal Year: 2024, Volume and Issue: 175, P. 106495 - 106495

Published: March 16, 2024

Language: Английский

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Hazard identification performance comparison between virtual reality and traditional construction safety training modes for different learning style individuals

Safety Science, Journal Year: 2024, Volume and Issue: 180, P. 106644 - 106644

Published: Aug. 19, 2024

Language: Английский

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