- Teknik Dergi
- Vol: 31 Issue: 2
- Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression M...
Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model
Authors : Özge Akboğa Kale, Selim Baradan
Pages : 9919-9940
Doi:10.18400/tekderg.470633
View : 16 | Download : 7
Publication Date : 2020-03-01
Article Type : Research
Abstract :Consequently, majority of studies in occupational safety leaned towards describing accidents with the aid of surveys and d escriptive statistics. This study intends to fill this gap by using inferential statistics to identify the factors that contribute to severity of injuries. Subsequently, cooperation with Social Security Institute of Turkey was achieved and an extensive archival study was performed. The information acquired from open-ended questions in forms were reorganized to be identified as variables. Categorically identified data set were analyzed statistically by using binary logistic regression analyses. The findings of the study showed that work experience, accident type, unsafe condition, unsafe act have statistically significant influence on Injury Severity Score.Keywords : Occupational Safety and Health, Logistic Regression Analysis, Injury Severity Score, Construction Accidents, Data Mining