Analysis of the Victims" Characteristics of the Industrial Accidents in South Korea in 2020

Kim, Younhee; Lee, Jaein

doi:10.5143/jesk.2022.41.5.397

Cited by 1 publication

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, extensive research has been carried out in recent decades to enhance safety performance on construction sites [3,4,16]. The socio-demographic factors, including gender, age, occupation, and work experience in relation to accident occurrences, have been widely analyzed to increase construction site safety performance [9,17,18]. These factors are vital in identifying vulnerable societal groups, thus aiding the implementation of protective policies tailored to those specific groups.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Furthermore, considering socio-economic variables is important in analyzing the provision of post-accident recovery support for victims [20]. Kim and Lee [9] also highlighted substantial disparities in victim characteristics, examining variables such as industry type, business size, worker age, accident patterns, work duration, and accident year. Additionally, Jo et al [21] analyzed the construction accidents and revealed that the elevated incidence and mortality rates among male workers were predominantly attributed to falls.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Additionally, accidents originate from various sources, including production materials, machinery, misplaced tools, and the behavior of both workers and supervisors. These last sources consist of workers ignoring the use of protective equipment, failing to conduct proper workplace inspections, and not ensuring the provision of necessary safety devices [9]. Further, Jeong [2] studied the location of injuries on the body and analyzed both fatal and non-fatal accidents in South Korea, emphasizing the importance of detailed information about the wounded part of the body for assessing accident severity.…”

Section: Introduction 1background Of the Studymentioning

confidence: 99%

See 2 more Smart Citations

Analysis of the Severity and Cause and Effect of Occupational Accidents in South Korea

Tuganishuri,

Yum,

Adhikari

et al. 2023

Sustainability

View full text Add to dashboard Cite

The industrial sector in South Korea has recently undergone significant growth; however, it is also known for its hazardous workplaces. Occupational accidents have had a widespread impact across various industries; therefore, the identification of accident-influencing factors is crucial to improve workplace safety. We analyzed the occupational accident database from the Ministry of Economy and Finance to examine the influencing factors, including worker information, project details, time-related variables, and accident descriptions. Exploratory and correspondence data analyses were performed to identify patterns and relationships between variables. We applied multinomial logistic models and random forest algorithms to understand the correlation between victim status and independent variables. Results showed that 67% of all accidents occurred among workers with less than one month of employment. The multinomial regression model achieved a prediction accuracy of 97.66% with a kappa value of 0.846, outperforming the random forest model (kappa = 0.844). The receiver operating curve illustrated that the random forest had higher misclassification rates when distinguishing between injuries and fatalities. To mitigate accidents among new workers, enhanced safety training and protective measures are needed to enforce a healthy workplace. This study contributes to ongoing efforts to advance workplace safety, reduce occupational accidents, and promote a healthier working environment.

show abstract