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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Main Authors: Mohammed Al Shaaili, Mubarak Al Alawi, Ronald Ekyalimpa, Bader Al Mawli, Abdullah Al-Mamun, Mohammed Al Shahri
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
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.
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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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