| Autor: |
Hermenth Raj Gunasegaran, Kanesan Muthusamy, Elango Natarajan, Krishnamoorthy Renganathan |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
2021 IEEE European Technology and Engineering Management Summit (E-TEMS). |
| DOI: |
10.1109/e-tems51171.2021.9524866 |
| Popis: |
The Construction Industry has always been regarded as one of the most taxing job domains with extreme high hazards and risks as well as occupational safety issues. Hence, there is extreme importance set upon the task of identifying the hazards and the cause of accidents on-site to reduce and diminish the injuries and fatalities rate. The main goal of this research is to identify and assess the hazards of a construction project using Decision Tree Analysis and Python Programming. This research also aims to determine the cause of the hazards and occurrence and propose recommendations. The discoveries through this research shows a lack of approach to the cause of accidents, which is a weakness in the current construction industry. By using Decision Tree Analysis through Python Programming, the cause of accidents and hazards were determined. The research results showed the cause of accidents through various categories and affirms the cause of accidents in the construction project. Based on the research outcome, recommendations are proposed to mitigate and reduce the cause of accidents. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
