Objectives : Korean government aims to achieve the reduction of more than half (60% or more) of industrial accident casualties by 2022.
For that, it is essential to prevent accidents at construction fields, which account for more than 50% of all indus...
Objectives : Korean government aims to achieve the reduction of more than half (60% or more) of industrial accident casualties by 2022.
For that, it is essential to prevent accidents at construction fields, which account for more than 50% of all industrial accidents.
By adopting big data technology to analyze past industrial accident cases and establishing safety measures,
construction safety accidents can be drastically reduced.
In this study, using text-mining technique, disaster causes are analyzed in various ways and safety measures are established.
Methods : As of 2020, the Korea Land & Housing corporation accounts for 30% of the total construction orders for public purposes in Korea (9.1trillion Korean won in 2020).
The author analyzed the construction safety accidents using text-mining technique, one of big data analysis techniques, for statistical data (1,305 cases) of accidents that occurred from 2016 to 2020.
Results and discussion : The author discusses the safety measures for type of accidents; scaffolding, formwork, and tower cranes that are concerned about large-scale accidents(disasters), and for 20 risky works of 7 types including falling, crushing/overturning, suffocation, collapsing, bumping, cutting, and stabbing.
Conclusions : The recently enacted Severe Accident Punishment Act and the amended Occupational Safety and Health Act focus on punishing perpetrators rather than preventative measures.
Accident cannot be prevented by punishment alone. It is appropriate to establish all safety policies focusing
on preventive measures rather than punishment.