SHS Web Conf.
Volume 64, 201914th European Architecture Envisioning Conference (EAEA14 2019)
|Number of page(s)||12|
|Published online||26 August 2019|
Acoustic comfort in the living environment and its association with noise representation: A systematic review
Ecole Nationale Supérieure d’Architecture de Nantes − Mauritius
Noise is commonly known to have adverse health effects on residents in urban living environment. In the past, great focus has been placed on the impact of external traffic noise on residents’ health and the development of urban noise mapping. On the other hand, neighbourhood noise − a combination of noise generated from outside residences and noise generated from within residences − are also considered to be as detrimental as external traffic noise and are yet to be widely investigated. This paper focuses on the systematic review of studies assessing neighbourhood noise with the intention of determining the presence of architectural variables and methods of noise representation for micro-scale areas. 153 articles are retrieved from specific research databases and out of which 12 were considered to be relevant to the study. The results indicate that architectural variables present in the studies were mostly related to the analysis of external traffic noise and that representation of noise in analyses were rarely devised which highlights the need for further investigation in this area.
© The Authors, published by EDP Sciences, 2019
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 work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.