Automated noise exposure assessment model for the health of construction workers

Jinwoo Choi, Hyuna Kang, Taehoon Hong, Hoyoung Baek, Dong Eun Lee

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number103657
JournalAutomation in Construction
Volume126
DOIs
Publication statusPublished - 2021 Jun

Bibliographical note

Funding Information:
This study was supported by the National Research Foundation of Korea (NRF) through a grant (NRF-2018R1A5A1025137) funded by the Korean government through the Ministry of Science and ICT.

Publisher Copyright:
© 2021 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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