Identifying relevant factors about work accidents in the road transport sector and the deaths relation in this scenario

Workers’ health and safety are a major concern in society, since work accidents have a major impact on productivity and economy. In Brazil, the accidents are officially reported through Work Accident Communication and they are available to the public. Thus, this study analyzed a balanced dataset con...

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Published inDyna (Medellín, Colombia) Vol. 90; no. 225; pp. 105 - 110
Main Authors Ferreira da Silva, Lucimara, Lavezo dos Reis, Beatriz, Dos Santos Jesus, Liandra, Leal, Gislaine Camila Lapasini, Cardoza Galdamez, Edwin Vladimir
Format Journal Article
LanguageEnglish
Published Bogota Universidad Nacional de Colombia 01.01.2023
Subjects
Accident prediction
Accident prevention
accidentes laborales
Accidents
Algorithms
Costs
Data mining
data mining; occupational safety and health; transport sector; work accidents
Fatalities
Illnesses
Injuries
Injury analysis
minería de datos
Occupational accidents
Occupational diseases
Occupational safety
occupational safety and health
Performance measurement
Performance prediction
Road transportation
Roads & highways
sector del transporte
seguridad y salud en el trabajo
transport sector
Transportation industry
work accidents
Work capacity
Work environment
Workers
Working conditions
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Summary:Workers’ health and safety are a major concern in society, since work accidents have a major impact on productivity and economy. In Brazil, the accidents are officially reported through Work Accident Communication and they are available to the public. Thus, this study analyzed a balanced dataset containing 1,206 records of deaths caused by work accidents related to the transport sector. Its aim was analyzing how the deaths in the transport sector are related with the other work accident factors. To achieve this goal, twelve performance data mining techniques are compared, through five performance metrics, regarding the predictive capacity of the occurrence of deaths caused by work accidents. In this context, the XGBoost and Naïve Bayes algorithms showed the best predictive capacity. The explanatory analysis indicates that work accidents followed by death in road transport are predictable due to the severity of the injuries and vital parts of the body are affected.
ISSN:0012-7353
2346-2183
DOI:10.15446/dyna.v90n225.105688