NDLI: Assessing residential exposure to urban noise using environmental models: does the size of the local living neighborhood matter?

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Tenailleau, Quentin M. Bernard, Nadine Pujol, Sophie Houot, Hélène Joly, Daniel Mauny, Frédéric
Description	Country affiliation: France Author Affiliation: Tenailleau QM ( Laboratoire Chrono-environnement UMR6249 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France.); Bernard N ( 1] Laboratoire Chrono-environnement UMR6249 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France [2] Laboratoire ThéMA UMR6049 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France.); Pujol S ( 1] Laboratoire Chrono-environnement UMR6249 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France [2] Centre Hospitalier Régional Universitaire de Besançon, Besançon, France.); Houot H ( Laboratoire ThéMA UMR6049 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France.); Joly D ( Laboratoire ThéMA UMR6049 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France.); Mauny F ( 1] Laboratoire Chrono-environnement UMR6249 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France [2] Centre Hospitalier Régional Universitaire de Besançon, Besançon, France.)
Abstract	Environmental epidemiological studies rely on the quantification of the exposure level in a surface defined as the subject's exposure area. For residential exposure, this area is often the subject's neighborhood. However, the variability of the size and nature of the neighborhoods makes comparison of the findings across studies difficult. This article examines the impact of the neighborhood's definition on environmental noise exposure levels obtained from four commonly used sampling techniques: address point, façade, buffers, and official zoning. A high-definition noise model, built on a middle-sized French city, has been used to estimate LAeq,24 h exposure in the vicinity of 10,825 residential buildings. Twelve noise exposure indicators have been used to assess inhabitants' exposure. Influence of urban environmental factors was analyzed using multilevel modeling. When the sampled area increases, the average exposure increases (+3.9 dB), whereas the SD decreases (-1.6 dB) (P<0.01). Most of the indicators differ statistically. When comparing indicators from the 50-m and 400-m radius buffers, the assigned LAeq,24 h level varies across buildings from -9.4 to +22.3 dB. This variation is influenced by urban environmental characteristics (P<0.01). On the basis of this study's findings, sampling technique, neighborhood size, and environmental composition should be carefully considered in further exposure studies.
File Format	HTM / HTML
ISSN	15590631
Issue Number	1
Volume Number	25
e-ISSN	1559064X
Journal	Journal of Exposure Science and Environmental Epidemiology
Language	English
Publisher	Macmillan Publishers Limited
Publisher Date	2015-01-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Environmental Health Discipline Epidemiology Environmental Exposure Statistics & Numerical Data Noise Residence Characteristics Environmental Monitoring Methods Humans Models, Statistical Adverse Effects Urban Population Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Pollution Public Health, Environmental and Occupational Health Toxicology Epidemiology

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