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Association Rules Analysis of Safe Accidents Caused by Falling Objects

낙하물에 기인한 안전사고의 연관규칙 분석

Son, Ki-Young;Ryu, Han-Guk
손기영;류한국

  • Received : 2019.05.09
  • Accepted : 2019.07.10
  • Published : 2019.08.20

Abstract

Construction industry is one of the most dangerous industry. As the construction accidents occur due to the repeated factors found in each accidents, there is a limitation in analyzing all types of occupational accidents by the existing descriptive analysis and statistical test. In this study, we classified safety accidents caused by falling objects among the accident types occurring at construction sites into fatal and nonfatal accidents and deduced the factors. In addition, we deduced the association rules among the safety accidents factors caused by falling objects through the association rule analysis method among the machine learning techniques. Therefore, considering the association rules for fatal and nonfatal accidents proposed in this study, it would be possible to prevent accidents by searching for countermeasures against safety accidents caused by falling objects.

Keywords

construction safety;falling objects;data science;machine learning;association rules;hierarchical clustering

Acknowledgement

Supported by : National Research Foundation of Korea(NRF)