An Overview of Construction Occupational Accidents in Hong Kong: A Recent Trend and Future Perspectives

Shafique, Muhammad; Rafiq, Muhammad

doi:10.3390/app9102069

Cited by 71 publications

(59 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Safety analysis focuses on identifying the most significant factors that affect the occurrence of an incident [1,2]. Analyzing occupational incidents based on industry and injury characteristics is important for finding causes of accidents, and managing prevention planning [3].…”

Section: Introductionmentioning

confidence: 99%

Segmentation of Severe Occupational Incidents in Agribusiness Industries Using Latent Class Clustering

2019

View full text Add to dashboard Cite

One of the principle objectives in occupational safety analysis is to identify the key factors that affect the severity of an incident. To identify risk groups of occupational incidents and the factors associated with them, statistical analysis of workers’ compensation claims data is performed using latent class clustering, for the segmentation of 1031 severe occupational incidents in agribusiness industries in the Midwest region of the United States between 2008–2016. In this study, severe incidents are those with workers’ compensation costs equal to or greater than $100,000 (USD). Based on the latent class clustering results, three risk groups are identified with injury nature as the most statistically distinctive classifier. The highest cost injuries include strain, tear, fracture, contusion, amputation, laceration, burn, concussion, and crushing. The most prevalent and statistically significant injury type is permanent partial disability. The study introduces a novel application of latent class clustering in the segmentation of high severity occupational incidents. The analytical approach and results of this study will aid safety practitioners in identifying occupational risk groups and analyzing injury patterns, and inform safety intervention plans to avoid the occurrence of similar incidents in agribusiness industries.

show abstract

Section: Introductionmentioning

confidence: 99%

Segmentation of Severe Occupational Incidents in Agribusiness Industries Using Latent Class Clustering

2019

View full text Add to dashboard Cite

show abstract

“…Occupational and work-related accidents were addressed by Shafique and Rafiq, "An Overview of Construction Occupational Accidents in the Hong Kong: A Recent Trend and Future Perspectives" [4], whereas Kakhki and co-workers discussed the "Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations" [5]. Also on the civil construction domain, Derlukiewicz discussed the "Application of a Design and Construction Method Based on a Study of User Needs In The Prevention of Accidents Involving Operators of Demolition Robots" [6].…”

Section: Special Issue Papersmentioning

confidence: 99%

Special Issue: Accident Analysis and Prevention: Experimental and Numerical Approaches

Sousa

Ptak

2020

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…One of the important purposes of occupational safety analysis of accidents is to clarify the critical causes that affected the severity of the incident [17]. In-depth safety analysis is the most important factor in ensuring safe production [18,19]. In addition, analyzing accidents based on business and injury characteristics is crucial for identifying their critical causes and implementing preventive management plans [20].…”

Section: Introductionmentioning

confidence: 99%

Characteristic Analysis of Occupational Confined Space Accidents in Taiwan and Its Prevention Strategy

Chiu

Chang

Wan

2020

IJERPH

View full text Add to dashboard Cite

According to the US Bureau of Labor Statistics (BLS), 882 people were killed or injured due to confined space accidents in 2011-2017. Occupational accident statistics published in 2008-2018 by the Taiwan Occupational Safety and Health Administration (OSHA, Taiwan) show that 70 people suffered from disasters and 52 were injured in the 64 accident reports involving confined spaces. In the US, on average, 126 people die each year in accidents related to confined spaces, and in Taiwan, an average of 8 people per year are casualties of accidents involving confined spaces, proving that it is an area of concern that cannot be neglected. When misjudgments occur in confined spaces, not only can people be hurt, but they can even lose their lives, and the risks associated with confined spaces can subsequently result in rescue personnel also being killed or injured. This study was conducted via the systematic causal analysis technique (SCAT), which was proposed and developed by the International Loss Control Institute (ILCI), with the intention of identifying the critical basic causes of the confined space accidents that have occurred over the years in the Taiwan area, in order to propose corresponding improvement strategies. After investigating the statistics in Taiwan, it was determined that hydrogen sulfide was involved in 45% of accidental deaths in confined spaces, followed by 11% involving carbon dioxide, 9% involving carbon monoxide, and 7% involving toluene. Additional analysis of non-standard acts identified "failure of operating procedures" as being involved in 27% of accidents, followed by 25% involving "improper personal protective equipment" and 23% involving "incorrect position". The analysis of non-standard conditions revealed that "dangerous workplace" was involved in 39% of accidents, "improper protective measures" in 30%, and "inadequate ventilation" in 27%. In accordance with our analysis results, it could be suggested that hazard prevention strategies for confined spaces, in addition to encouraging avoidance of non-standard acts by personnel, should also strive to improve these non-standard conditions. Otherwise, if not prevented deliberately and in a fundamental, relevant accidents will remain inevitable.

show abstract

An Overview of Construction Occupational Accidents in Hong Kong: A Recent Trend and Future Perspectives

Cited by 71 publications

References 48 publications

Segmentation of Severe Occupational Incidents in Agribusiness Industries Using Latent Class Clustering

Segmentation of Severe Occupational Incidents in Agribusiness Industries Using Latent Class Clustering

Special Issue: Accident Analysis and Prevention: Experimental and Numerical Approaches

Characteristic Analysis of Occupational Confined Space Accidents in Taiwan and Its Prevention Strategy

Contact Info

Product

Resources

About