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High-resolution assessment of road traffic noise exposure in Denmark

Thacher, Jesse D LU ; Poulsen, Aslak H ; Raaschou-Nielsen, Ole ; Jensen, Allan ; Hillig, Kristine ; Roswall, Nina ; Hvidtfeldt, Ulla ; Jensen, Steen S ; Levin, Gregor and Valencia, Victor H , et al. (2020) In Environmental Research 182. p.1-9
Abstract

Recent studies show associations between transportation noise and various diseases. However, selection bias remains an inherent limitation in many cohort studies. In this study, we aimed to model road traffic noise exposure across the entire Danish population and investigate its distribution in relation to area-level socioeconomic indicators and green space. Based on the Nordic prediction method, we estimated road traffic noise for all Danish residential addresses, in total 2,761,739 addresses, for the years 1995, 2000, 2005, 2010, and 2015 at the most and least exposed façades. Area-level sociodemographic variables encompassing education, income, and unemployment were collected and residential green within a 150 m radius buffer at the... (More)

Recent studies show associations between transportation noise and various diseases. However, selection bias remains an inherent limitation in many cohort studies. In this study, we aimed to model road traffic noise exposure across the entire Danish population and investigate its distribution in relation to area-level socioeconomic indicators and green space. Based on the Nordic prediction method, we estimated road traffic noise for all Danish residential addresses, in total 2,761,739 addresses, for the years 1995, 2000, 2005, 2010, and 2015 at the most and least exposed façades. Area-level sociodemographic variables encompassing education, income, and unemployment were collected and residential green within a 150 m radius buffer at the address level was estimated using high-resolution national land use classification data. Median levels of noise at both the most and least exposed facades across Denmark increased slightly from 1995 to 2015. Correlations between most and least exposed façades varied based on population density and building type, with the highest correlations between the most and least exposed façades found for semidetached homes and lowest for multistory buildings. Increasing median noise levels were observed across increasing levels of higher education, lower income, and higher unemployment. A decreasing trend in median noise levels with increasing levels of green space was observed. In conclusion, we showed that it is feasible to estimate nationwide, address-specific exposure over a long time-period. Furthermore, the low correlations found between most and least exposed façade for multistory buildings, which characterize metropolitan centers, suggests that the most exposed façade estimation used in most previous studies and predicts exposure at the silent façade relatively poorly.

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publishing date
type
Contribution to journal
publication status
published
keywords
Cohort Studies, Denmark, Environmental Exposure, Humans, Noise, Transportation, Socioeconomic Factors
in
Environmental Research
volume
182
article number
109051
pages
1 - 9
publisher
Elsevier
external identifiers
  • scopus:85077021134
  • pmid:31896468
ISSN
1096-0953
DOI
10.1016/j.envres.2019.109051
language
English
LU publication?
no
additional info
Copyright © 2019 Elsevier Inc. All rights reserved.
id
ed460728-d894-4d92-97a7-842585774f32
date added to LUP
2023-05-08 10:52:47
date last changed
2024-01-19 22:07:47
@article{ed460728-d894-4d92-97a7-842585774f32,
  abstract     = {{<p>Recent studies show associations between transportation noise and various diseases. However, selection bias remains an inherent limitation in many cohort studies. In this study, we aimed to model road traffic noise exposure across the entire Danish population and investigate its distribution in relation to area-level socioeconomic indicators and green space. Based on the Nordic prediction method, we estimated road traffic noise for all Danish residential addresses, in total 2,761,739 addresses, for the years 1995, 2000, 2005, 2010, and 2015 at the most and least exposed façades. Area-level sociodemographic variables encompassing education, income, and unemployment were collected and residential green within a 150 m radius buffer at the address level was estimated using high-resolution national land use classification data. Median levels of noise at both the most and least exposed facades across Denmark increased slightly from 1995 to 2015. Correlations between most and least exposed façades varied based on population density and building type, with the highest correlations between the most and least exposed façades found for semidetached homes and lowest for multistory buildings. Increasing median noise levels were observed across increasing levels of higher education, lower income, and higher unemployment. A decreasing trend in median noise levels with increasing levels of green space was observed. In conclusion, we showed that it is feasible to estimate nationwide, address-specific exposure over a long time-period. Furthermore, the low correlations found between most and least exposed façade for multistory buildings, which characterize metropolitan centers, suggests that the most exposed façade estimation used in most previous studies and predicts exposure at the silent façade relatively poorly.</p>}},
  author       = {{Thacher, Jesse D and Poulsen, Aslak H and Raaschou-Nielsen, Ole and Jensen, Allan and Hillig, Kristine and Roswall, Nina and Hvidtfeldt, Ulla and Jensen, Steen S and Levin, Gregor and Valencia, Victor H and Sørensen, Mette}},
  issn         = {{1096-0953}},
  keywords     = {{Cohort Studies; Denmark; Environmental Exposure; Humans; Noise, Transportation; Socioeconomic Factors}},
  language     = {{eng}},
  pages        = {{1--9}},
  publisher    = {{Elsevier}},
  series       = {{Environmental Research}},
  title        = {{High-resolution assessment of road traffic noise exposure in Denmark}},
  url          = {{http://dx.doi.org/10.1016/j.envres.2019.109051}},
  doi          = {{10.1016/j.envres.2019.109051}},
  volume       = {{182}},
  year         = {{2020}},
}