Journal
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
Volume 35, Issue 5, Pages 421-430Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compenvurbsys.2011.06.001
Keywords
Environmental noise; Urban acoustics; Urban indices; ANN
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The objective of this paper is to analyze the noise levels of an urban area by treating them as a function of several features resulting from block shapes and urban indices in a residential neighborhood of a medium sized Brazilian city. Inside this area a sample of 40 reference points was chosen for data collection and their noise levels were measured. The influence of urban indices on the sound ambience of streets is modeled with Artificial Neural Networks. The results show the relative importance of several variables on the output. In order of decreasing impact, the ANN models estimate that 'traffic volume' is at first place, followed by the 'Floor Space Index (FSI)', subsequently by the 'block shape' and at last by the 'building area/lot area ratio'. (C) 2011 Elsevier Ltd. All rights reserved.
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