Prediction of environmental costs of construction noise and vibration at the preconstruction phase

Taehoon Hong, Changyoon Ji, Joowan Park, Seung Bok Leigh, Dong Yeon Seo

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12 Citations (Scopus)

Abstract

Construction noise and vibration in urban areas are environmental impacts that cause damage to humans. A model for predicting the environmental costs of construction noise and vibration was developed in this study. The model uses noise- and vibration-level data of construction equipment to predict the construction noise and vibration levels and estimates the environmental costs based on the predicted noise and vibration levels. Monte Carlo simulation was used to develop the model, considering the uncertainty of the noise- and vibration-level data of construction equipment. As it is difficult to collect actual compensation cost data for noise and vibration, the validity of the model was verified by comparing the actual noise and vibration levels measured at six receiving nodes with the predicted noise and vibration levels. The results showed that the predicted noise and vibration levels differed by 2.76 dBA (4.28%) and -3.76∈∈dBV (-5.35%) from the actual noise and vibration levels, respectively. The correlation coefficients of the predicted and measured results were 0.991 and 0.982, respectively, which show that the model was reasonably accurate. The case study showed that the environmental cost of noise and vibration was US$237,679.25 when the noise barrier was not installed. It is expected that the developed model can be used to establish a mitigation strategy for contractors to reduce damage due to construction noise and vibration in the preconstruction phase.

Original languageEnglish
Article number04014079
JournalJournal of Management in Engineering
Volume31
Issue number5
DOIs
Publication statusPublished - 2015 Sep 1

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All Science Journal Classification (ASJC) codes

  • Industrial relations
  • Engineering(all)
  • Strategy and Management
  • Management Science and Operations Research

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