Automated noise exposure assessment model for the health of construction workers

  • Choi, Jinwoo; 
  • Kang, Hyuna; 
  • Hong, Taehoon; 
  • Baek, Hoyoung; 
  • Lee, Dong-Eun
Citations

WEB OF SCIENCE

27
Citations

SCOPUS

33

초록

Although construction noise negatively affects both residents near construction sites and on-site workers, the health issues of construction workers exposed to high noise for a long time are often considered less important than those of residents who file civil complaints. Accordingly, this study developed an automated noise exposure assessment model to enhance the health of construction workers. Therefore, a model was developed to predict the noise level in real time, considering the equipment and work types at construction sites, and to automatically assess the noise exposure of the workers in the short and long terms. A case study conducted showed that conventional regulation standards should be strengthened to have an impact on the health of construction workers. The developed model can help construction companies manage construction noise and protect construction workers from excessive noise by providing scientific evidence of noise exposure to policymakers committed to guaranteeing the health of workers.

키워드

Construction noise; Worker health impact; Automated noise exposure assessment; Daily noise dose; Disability-adjusted life year (DALY); SITE LAYOUT; PERFORMANCE; POLLUTION; IMPACT; FRAMEWORK
제목
Automated noise exposure assessment model for the health of construction workers
저자
Choi, Jinwoo; Kang, Hyuna; Hong, Taehoon; Baek, Hoyoung; Lee, Dong-Eun
DOI
10.1016/j.autcon.2021.103657
발행일
2021-06
유형
Article
저널명
Automation in Construction
권
126