Logistic regression in the identification of hazards in construction
Authors:
- Wojciech Drozd
Abstract
The construction site and its elements create circumstances that are conducive to the formation of risks to safety during the execution of works. Analysis indicates the critical importance of these factors in the set of characteristics that describe the causes of accidents in the construction industry. This article attempts to analyse the characteristics related to the construction site, in order to indicate their importance in defining the circumstances of accidents at work. The study includes sites inspected in 2014 - 2016 by the employees of the District Labour Inspectorate in Krakow (Poland). The analysed set of detailed (disaggregated) data includes both quantitative and qualitative characteristics. The substantive task focused on classification modelling in the identification of hazards in construction and identifying those of the analysed characteristics that are important in an accident. In terms of methodology, resource data analysis using statistical classifiers, in the form of logistic regression, was the method used.
- Record ID
- CUT693eaf932dfd415da08dbf5ee003a806
- Publication categories
- ; ;
- Author
- Journal series
- IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, e-ISSN 1757-899X, Irregular
- Issue year
- 2017
- Vol
- 245
- Pages
- [1-9]
- Article number
- 062012
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 8-9; Bibliografia (liczba pozycji) - 5; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 245
- Substantive notes
- Session IV: Theories and Methods in Civil Engineering and Architecture, BIM, Mathematical and Statistical Methods, Risk Management, Regional Planning, Sustainable Urban Development, Urban Sociology, Economics and Politics, GIS-Based Modelling and Planning, Computer Aided Design
- Conference
- World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium 2017 (WMCAUS 2017), 2017, 12-06-2017 - 16-06-2017, Prague, Czechy
- Keywords in English
- construction site, work safety, logistic regression
- DOI
- DOI:10.1088/1757-899X/245/6/062012 Opening in a new tab
- URL
- http://iopscience.iop.org/article/10.1088/1757-899X/245/6/062012 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 15
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT693eaf932dfd415da08dbf5ee003a806/
- URN
urn:pkr-prod:CUT693eaf932dfd415da08dbf5ee003a806
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.