Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman
The strategic role of near-miss data in safety management is undeniably vital. This data provides early warnings of potential accidents, thus serving as a proactive tool for recognizing weak points in safety management and preventing disasters. Reinforcing this premise, an investigation was launched...
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Format: | Article |
Language: | English |
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Elsevier
2023-11-01
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Series: | Heliyon |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023088151 |
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author | Mohammed Al Shaaili Mubarak Al Alawi Ronald Ekyalimpa Bader Al Mawli Abdullah Al-Mamun Mohammed Al Shahri |
author_facet | Mohammed Al Shaaili Mubarak Al Alawi Ronald Ekyalimpa Bader Al Mawli Abdullah Al-Mamun Mohammed Al Shahri |
author_sort | Mohammed Al Shaaili |
collection | DOAJ |
description | The strategic role of near-miss data in safety management is undeniably vital. This data provides early warnings of potential accidents, thus serving as a proactive tool for recognizing weak points in safety management and preventing disasters. Reinforcing this premise, an investigation was launched to delve into the classification and analysis of near-miss accident data, aiming to augment safety prevention knowledge in the Nama Water Services (NWS) Company. The study engaged in comprehensive activities, including gathering near-miss reports, engaging with HSE personnel, formulating a standardized near-miss data form, and analyzing the collected data. Additionally, it proposed a structured guideline for identifying, analyzing, and classifying near-miss incidents, hinging on various parameters like types of hazards, operations, time of occurrence, and project segments. The findings highlighted that the construction projects involving pipelines and reservoirs experienced the most incidents, predominantly occurring during weekday mornings and afternoons. Major hazards included falls from scaffolds, falls within trenches, and lax housekeeping. Most notably, the operations most frequently associated with near-miss incidents were excavation, lifting, and loading. A deep dive into the root causes revealed that poor supervision, inadequacies in the safe work system, insufficient control measures, and inadequate training were the primary culprits. Furthermore, the study indicated that workers and equipment bore the brunt of these incidents. |
first_indexed | 2024-03-09T09:19:19Z |
format | Article |
id | doaj.art-ec030d8b63f34f18b992c882dd0af667 |
institution | Directory Open Access Journal |
issn | 2405-8440 |
language | English |
last_indexed | 2024-03-09T09:19:19Z |
publishDate | 2023-11-01 |
publisher | Elsevier |
record_format | Article |
series | Heliyon |
spelling | doaj.art-ec030d8b63f34f18b992c882dd0af6672023-12-02T07:03:22ZengElsevierHeliyon2405-84402023-11-01911e21607Near-miss accidents data analysis and knowledge dissemination in water construction projects in OmanMohammed Al Shaaili0Mubarak Al Alawi1Ronald Ekyalimpa2Bader Al Mawli3Abdullah Al-Mamun4Mohammed Al Shahri5Department of Civil and Architectural Engineering, Sultan Qaboos University, OmanDepartment of Civil and Architectural Engineering, Sultan Qaboos University, Oman; Corresponding author.Department of Civil and Architectural Engineering, Sultan Qaboos University, OmanNama Water Services Company, OmanDepartment of Civil and Architectural Engineering, Sultan Qaboos University, OmanDepartment of Civil and Architectural Engineering, Sultan Qaboos University, OmanThe strategic role of near-miss data in safety management is undeniably vital. This data provides early warnings of potential accidents, thus serving as a proactive tool for recognizing weak points in safety management and preventing disasters. Reinforcing this premise, an investigation was launched to delve into the classification and analysis of near-miss accident data, aiming to augment safety prevention knowledge in the Nama Water Services (NWS) Company. The study engaged in comprehensive activities, including gathering near-miss reports, engaging with HSE personnel, formulating a standardized near-miss data form, and analyzing the collected data. Additionally, it proposed a structured guideline for identifying, analyzing, and classifying near-miss incidents, hinging on various parameters like types of hazards, operations, time of occurrence, and project segments. The findings highlighted that the construction projects involving pipelines and reservoirs experienced the most incidents, predominantly occurring during weekday mornings and afternoons. Major hazards included falls from scaffolds, falls within trenches, and lax housekeeping. Most notably, the operations most frequently associated with near-miss incidents were excavation, lifting, and loading. A deep dive into the root causes revealed that poor supervision, inadequacies in the safe work system, insufficient control measures, and inadequate training were the primary culprits. Furthermore, the study indicated that workers and equipment bore the brunt of these incidents.http://www.sciencedirect.com/science/article/pii/S2405844023088151Near-missAccidentsHSEWater construction projectOman |
spellingShingle | Mohammed Al Shaaili Mubarak Al Alawi Ronald Ekyalimpa Bader Al Mawli Abdullah Al-Mamun Mohammed Al Shahri Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman Heliyon Near-miss Accidents HSE Water construction project Oman |
title | Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman |
title_full | Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman |
title_fullStr | Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman |
title_full_unstemmed | Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman |
title_short | Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman |
title_sort | near miss accidents data analysis and knowledge dissemination in water construction projects in oman |
topic | Near-miss Accidents HSE Water construction project Oman |
url | http://www.sciencedirect.com/science/article/pii/S2405844023088151 |
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