Yu, L;
Kang, J;
(2015)
Using Ann to Study Sound Preference Evaluation in Urban Open Spaces.
Journal of Environmental Engineering and Landscape Management
, 23
(3)
pp. 163-171.
10.3846/16486897.2015.1050399.
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Abstract
In soundscape research, subjective preference evaluation of a sound is crucial. Based on a series of field studies and laboratory experiments, influence of sound category and psychoacoustic parameters on sound preference evaluation is examined. It has been found that sound category and loudness and sharpness are important. Regarding a previous study, age and education level are also important to influence sound preference evaluation. In order to un-derstand user’s preference in terms of sound at a design stage, prediction of sound preference evaluation is essential. As sound preference evaluation is complicated and influenced by various factors linearly and non-linearly, artificial neural network (ANN) has been explored to make predictions of sound preference evaluation. A number of developed ANN models have been demonstrated, and it has been found that the models including input factors of sound catego-ry, loudness and sharpness produce better predictions than others. The best prediction model is the one that is based on an individual case study site. Based on the best prediction model, a mapping tool for sound preference evaluation has been developed and its usefulness for aiding landscape architects and urban designers has been demonstrated.
| Type: | Article |
|---|---|
| Title: | Using Ann to Study Sound Preference Evaluation in Urban Open Spaces |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3846/16486897.2015.1050399 |
| Publisher version: | https://doi.org/10.3846/16486897.2015.1050399 |
| Language: | English |
| Additional information: | Copyright Copyright Copyright © 2018 The Author(s). Published by VGTU Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Keywords: | sound preference evaluation, urban open space, ANN modelling |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10058521 |
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