{"title":"Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model","authors":"Özge A. Kale, S. Baradan","doi":"10.18400/tekderg.470633","DOIUrl":null,"url":null,"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.","PeriodicalId":49442,"journal":{"name":"Teknik Dergi","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teknik Dergi","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.18400/tekderg.470633","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 18
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.
期刊介绍:
The scope of Teknik Dergi is naturally confined with the subjects falling in the area of civil engineering. However, the area of civil engineering has recently been significantly enlarged, even the definition of civil engineering has somewhat changed.
Half a century ago, engineering was simply defined as “the art of using and converting the natural resources for the benefit of the mankind”. Today, the same objective is expected to be realised (i) by complying with the desire and expectations of the people concerned and (ii) without wasting the resources and within the sustainability principles. This change has required an interaction between engineering and social and administrative sciences. Some subjects at the borderline between civil engineering and social and administrative sciences have consequently been included in the area of civil engineering.
Teknik Dergi defines its scope in line with this understanding. However, it requires the papers falling in the borderline to have a significant component of civil engineering.