Zaiton Haron, David Oldham, Khairulzan Yahya, Rozana Zakaria


This paper presents a new technique for predicting noise from construction site using probabilistic approach. The advantage of the method is its ability to predict a set of noise levels during a working day period weighted by their probabilities of cumulative distribution or temporal distribution. This method has introduced different degree of noises according to different indices such as L10, L50 and L90. The indices could be used to avoid the annoyance due to construction activities and the complaints from nearby residents during construction activities. The temporal distribution of the model could be applied to predict the equivalent continuous sound level (LAeq) experienced over a short period as commonly practiced by the local authority staff when checking for conformance with a specified level during the construction process. The method could be used as the basis of an operational management tool for noise abatement scheme towards maintaining a more sustainable environment.


Prediction of noise, Probability, Temporal distribution, Noise annoyance, Equivalent noise level

Full Text:



Beaman, A.L., and Jones, R.D. (1977). Noise from Construction and Demolition SitesMeasured level and Their Prediction, CIRIA Report 64.

BS 5228, Part 1: (1997) Noise and vibration control on construction and open sites.

Carpenter, F. (1997) Construction noise prediction at the planning stage of new developments, Building Acoustics, 3(4): p. 239-249

Carpenter, F., Gibbs, B.M., and Lewis, J. (1997) BS 5228: The prediction of noise from construction sites. in Proceeding of Institute of Acoustics.

Department of Environment (DOE), Malaysia (1996) The 1995 Enviromental quality report in Department of Environment.

Department of Environment (DOE), Malaysia (2004) The planning guidelines for environmental noise limits and control.

Ferguson, I. (1995). Dust and Noise in the Construction Process, HSE Contract Research Report 73/1995.

Gilchrist, A., Allouche, E.N., and Cowan, D. (2003) Prediction and mitigation of construction noise in an urban environment. Canadian Journal of Civil Engineering, 30: p. 659-672.

Haron, Z., and Oldham, D. J. (2004) Stochastic Modeling in Environmental and Building Acoustics, Journal of Recent Research Development, Sound and Vibration, 2, 213-


Haron, Z., and Oldham, D. J (2005). Environmental noise modeling using stochastic in Proceeding of the Institute of Acoustics, 27(4)

Jafferson, K and Vasudevan R.N (1997) The prediction of construction site noise-an

example of the application old and new BS5228 methods, in Proceeding of the

Institute of Acoustics 19(8):245-250

Koyasu, M. (1984). Evaluation and control of construction noise: The state of art. In

Proceeding of Internoise'84. Honolulu, USA.

Large, J.B., and Ludlow, J.E. (1975) Community reaction to construction noise. in Proceeding of the Inter-noise, Sendai.MATLAB, Version 7.2, The MathWorks, Inc.

Nelson, P.M. (1972). The combination of noise from separate time varying sources. TRRL Report LR 526.

Nelson, P.M. (1973a). A computer model for determining the temporal distribution of noise from road traffic. TRRL Laboratory Report 611.

Nelson, P.M. (1973b). The combination of noise from separate time varying sources. Applied Acoustics, 6(1): p. 1-21. 37.

Waddington, D.C., and Lewis, J. (2000) The preliminary estimation of noise from construction sites. in Proceedings of the Institute of Acoustics, Liverpool.

DOI: https://doi.org/10.11113/mjce.v20n1.207


  • There are currently no refbacks.

Copyright © 2018 Penerbit UTM Press, Universiti Teknologi Malaysia.
Disclaimer : This website has been updated to the best of our knowledge to be accurate. However, Universiti Teknologi Malaysia shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.
Best viewed: Mozilla Firefox 4.0 & Google Chrome at 1024 × 768 resolution.