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Noise Mapping

Ed. by Asdrubali, Francesco

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2084-879X
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Soundscape approach integrating noise mapping techniques: a case study in Brighton, UK

Francesco Aletta / Jian Kang
Published Online: 2015-10-16 | DOI: https://doi.org/10.1515/noise-2015-0001

Abstract

In the guidelines about the management of areas of good environmental noise quality recently published by the European Environment Agency (EEA) it is suggested to combine different methodologies, like noise mapping, sound level measurements and the soundscape approach. Such a recommendation has started to be recognised by a number of local authorities in Europe that are gradually integrating a holistic concept into their environmental noise policies. This research aimed to explore and demonstrate the possibility to integrate conventional noise mapping methods and soundscape methods in an actual urban redevelopment project. A case study was made using the Valley Gardens project in Brighton & Hove (UK). Different scenarios of sound-pressure level distributionswere simulated for both traffic sound sources (i.e. noise maps) and natural sound sources (i.e. sound maps). Additionally, individual responses about the sound environment of the place collected during an on-site question survey were used to implement soundscape maps.

The overall picture revealed that the road traffic noise should be reduced, but also it is feasible that preferred sounds likewater features or birdsong could be introduced to make the sound environment more appropriate for the place. Generally, within the framework of this research, noise maps, sound maps and soundscape maps were used together to "triangulate" different layers of information related to the acoustic environment and the way it is perceived, providing a possible working procedure to consider for planners and policy-makers in the future.

Keywords: Urban sound planning; Noise Mapping; Urban soundscape; Landscape management

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About the article

Received: 2015-05-15

Accepted: 2015-07-03

Published Online: 2015-10-16


Citation Information: Noise Mapping, Volume 2, Issue 1, ISSN (Online) 2084-879X, DOI: https://doi.org/10.1515/noise-2015-0001.

Export Citation

©2015 F. Aletta and J. Kang. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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