Noise Pollution Analysis Using Geographic Information System, Agglomerative Hierarchical Clustering and Principal Component Analysis in Urban Sustainability (Case Study: Tehran)

Amir Esmael Forouhid (), Shahrzad Khosravi and Jafar Mahmoudi
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Amir Esmael Forouhid: Department of Civil Engineering, Parand Branch, Islamic Azad University, Parand P.O. Box 3761396361, Iran
Shahrzad Khosravi: Department of Industrial Engineering, North Branch, Islamic Azad University, Tehran P.O. Box 1496969191, Iran
Jafar Mahmoudi: Department of Sustainable Production Development, School of Industrial Engineering and Management, KTH, 100 44 Stockholm, Sweden

Sustainability, 2023, vol. 15, issue 3, 1-22

Abstract: In this study, a new approach has been used with SPSS and MATLAB analysis to study urban road traffic noise distribution mapping, to obtain the representative road traffic noise maps. The observation has been performed at a high traffic highway. The factors influencing noise level (traffic, road width, slope, and residential or administrative–commercial land) use were surveyed and recorded for each point and their local and time dependencies were computed. According to the analysis, the maximum value of goodness of fit index for the traffic and noise level relationship was 0.64, followed by 0.489 for the percentage of residential land use. The result of this study showed that the vehicle speed, width of the road, and the land use can affect different sound levels emitted by moving vehicles on road. The model predicts that by increasing one vehicle per hour, an increase in noise level by 0.002 dB will happen.

Keywords: noise pollution; urban noise measurements; traffic parameters; regression; noise contours maps (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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