Literature DB >> 34710441

Annoyance due to residential road traffic and aircraft noise: Empirical evidence from two European cities.

Peter Preisendörfer1, Ulf Liebe2, Heidi Bruderer Enzler3, Andreas Diekmann4.   

Abstract

Based on a study in two European cities, Mainz in Germany and Zurich in Switzerland, the article investigates both acoustical and non-acoustical factors affecting indoor annoyance due to residential road traffic and aircraft noise. We specifically focus on three factors: (1) the role of windows as a feature of the building where people live; (2) the role of individual environmental concern as a general attitude; and (3) the role of household income as an indicator of socioeconomic resources. Empirical results show that closed windows in general and closed high-quality windows in particular are an important barrier against outdoor road traffic and aircraft noise, as well as a helpful subjective coping tool against corresponding annoyances. Environmental concern, too, proves to be a significant predictor of noise annoyance. Environmentally highly concerned people articulate feelings of annoyance more often than environmentally less concerned ones. As expected income is negatively related to road traffic noise annoyance. However, we find a positive association of income with annoyance from aircraft noise. Although objective exposure to aircraft noise is lower for high-income households, they feel stronger annoyed by noise from airplanes. Income shows various indirect effects on noise annoyance. A comparative analysis of road traffic and aircraft noise annoyance yields similarities, but also remarkable differences in terms of their influence factors.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Environmental concern; Household income; Noise annoyance; Noise exposure; Noise protection; Window quality

Mesh:

Year:  2021        PMID: 34710441     DOI: 10.1016/j.envres.2021.112269

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  1 in total

1.  Influencing Factors Identification and Prediction of Noise Annoyance-A Case Study on Substation Noise.

Authors:  Guoqing Di; Yihang Wang; Yao Yao; Jiangang Ma; Jian Wu
Journal:  Int J Environ Res Public Health       Date:  2022-07-09       Impact factor: 4.614

  1 in total

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