Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Land Use Regression Modeling of Outdoor Noise Exposure in Informal Settlements in Western Cape, South Africa

Chloé Sieber
ORCID logo ,
Martina S. Ragettli
,
Mark Brink
ORCID logo ,
Olaniyan Toyib
ORCID logo ,
Roslyn Baatjies
,
Apolline Saucy
,
Nicole Probst-Hensch
,
Mohamed Aqiel Dalvie
,
Martin Röösli
* ORCID logo
Version 1 : Received: 8 August 2017 / Approved: 9 August 2017 / Online: 9 August 2017 (06:03:00 CEST)

A peer-reviewed article of this Preprint also exists.

Sieber, C.; Ragettli, M.S.; Brink, M.; Toyib, O.; Baatjies, R.; Saucy, A.; Probst-Hensch, N.; Dalvie, M.A.; Röösli, M. Land Use Regression Modeling of Outdoor Noise Exposure in Informal Settlements in Western Cape, South Africa. Int. J. Environ. Res. Public Health 2017, 14, 1262. Sieber, C.; Ragettli, M.S.; Brink, M.; Toyib, O.; Baatjies, R.; Saucy, A.; Probst-Hensch, N.; Dalvie, M.A.; Röösli, M. Land Use Regression Modeling of Outdoor Noise Exposure in Informal Settlements in Western Cape, South Africa. Int. J. Environ. Res. Public Health 2017, 14, 1262.

Abstract

In developing countries, noise exposure and its negative health effects have been little explored. The present study aimed to assess the noise exposure situation in adults living in informal settings in the Western Cape Province, South Africa. We conducted continuous one-week outdoor noise measurements at 134 homes in four different areas. These data were used to develop a land use regression (LUR) model to predict A-weighted day-evening-night equivalent sound level (Lden) from geographic information system (GIS) variables. Mean noise exposure during day (6:00-18:00) was 60.0 A-weighted decibels (dB(A)) (interquartile range 56.9-62.9 dB(A)), during night (22:00-6:00) 52.9 dB(A) (49.3-55.8 dB(A)) and average Lden was 63.0 dB(A) (60.1-66.5 dB(A)). Main predictors of the LUR model were related to road traffic and household density. Model performance was low (adjusted R2=0.130) suggesting that other influences than represented in the geographic predictors are relevant for noise exposure. This is one of the few studies on the noise exposure situation in low- and middle-income countries. It demonstrates that noise exposure levels are high in these settings.

Keywords

noise measurement; road traffic noise; neighborhood noise; informal settings; developing country; South Africa.

Subject

Environmental and Earth Sciences, Other

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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