The application of cluster analysis to identify the occupational profile of people injured in accidents in the Polish construction industry

7th International Symposium Actual Problems of Computational Simulation in Civil Engineering

土木建筑工程;计算机科学

Szóstak, M.^1

Wroclaw University of Science and Technology, 27 Wybrzeze Wyspiaskiego st., Wroclaw

50-370, Poland^1

关键词: Homogeneous group;    Occupational accident;    Similar datum;    Work experience;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/456/1/012027/pdf
DOI  :  10.1088/1757-899X/456/1/012027

来源: IOP

【 摘 要 】

Cluster analysis is a tool used to analyze data and to group similar data into homogeneous groups called clusters. The aim of cluster analysis is to detect "natural" clusters - groups that can be interpreted in a sensible way - in a set of analyzed data. The objective of the research is to present the occupational characteristics of people injured in occupational accidents in the Polish construction industry using cluster analysis. The article presents the results obtained from the analysis of occupational accidents, which occurred in the years 2008-2014 in five Polish voivodeships: Dolnoslaskie, Kujawsko-Pomorskie, Lubelskie, Lubuskie and Slaskie. The impact of the following features was identified and examined in the paper: the status of the victim's employment, his occupation, age, work experience, and also the preparation of the employee to perform duties at a workplace. 361 occupational accidents were analyzed. On the basis of the conducted cluster analysis, a professional profile of people who are most often injured in occupational accidents in the Polish construction industry was developed.