| Title |
Analysis of the Relationship between Construction Accidents and PM10 Level using Big Data |
| Authors |
이민수(Lee, Minsu) ; 정재민(Jeong, Jaemin) ; 정재욱(Jeong, Jaewook) ; 이재현(Lee, Jaehyun) |
| DOI |
https://doi.org/10.5659/JAIK.2022.38.1.245 |
| Keywords |
PM10; Construction accident; Relative Importance; Correlation analysis; ANOVA |
| Abstract |
Due to construction work being done outdoors, construction workers are affected by harmful environmental factors such as Particulate Matter
(PM10) with a diameter of 10 ug/m³ or less. If directly inhaled by humans, it could have a fatal impact. Contrary to the diverse analysis
available regarding the health impact of PM10, there is not much research to be found in the correlation between construction accidents and
PM10 levels. Therefore, this study aims to analyze this relationship and its relative importance. The method used involved collecting data,
classifying data, analyzing the relative importance of construction accidents by concentration of PM10, correlation analysis between accidents
and PM10 and variance analysis of concentration levels of PM10 at construction accident sites. This analysis resulted in discovering that most
accidents occurred when the average level of PM10 (31ug/m³) was present. Regarding relative importance, it was identified that the frequency
of construction accidents had a significant positive relationship with the level of PM10 (R=0.846), the highest was at the level of PM10 (123
ug/m³). This study suggests that high levels of PM10 is a potential cause of accidents occurring at construction sites. |