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Contributors to Neighbour Noise Annoyance

Author

Listed:
  • Sarah L. Benz

    (ZEUS GmbH, Centre for Applied Psychology, Environmental and Social Research, 58093 Hagen, Germany)

  • Julia Kuhlmann

    (ZEUS GmbH, Centre for Applied Psychology, Environmental and Social Research, 58093 Hagen, Germany)

  • Dirk Schreckenberg

    (ZEUS GmbH, Centre for Applied Psychology, Environmental and Social Research, 58093 Hagen, Germany)

  • Jördis Wothge

    (German Environment Agency, Section Noise Abatement of Industrial Plants and Products, Noise Impact, 06844 Dessau-Roßlau, Germany)

Abstract

Noise from neighbours has been shown to be one of the most noise annoying sources in Germany, but research on the influencing factors for the annoyance ratings is scarce. Therefore, we investigated whether different personal and contextual (social, physical) factors contribute to neighbour noise annoyance to better understand the neighbour noise annoyance situation. A population-representative survey in four areas in Germany was conducted, with each area further stratified according to their density of agglomeration (inner city, urban outskirt, rural area). Randomly selected residents from each area were invited by mail to participate in the study, either online or via a paper–pencil mode. Noise annoyance was assessed for different noise sources (e.g., neighbourhood, road, railway, aircrafts, different types of industry). In total, 1973 questionnaires were completed. We identified several factors to be predictive of neighbour noise annoyance: satisfaction with the neighbourhood, relationship with neighbours, residential satisfaction, noise sensitivity, and density of agglomeration for people living in the inner city in comparison to rural areas. Particularly, social aspects such as the relationship with neighbours and satisfaction with the neighbourhood have been shown to affect neighbour noise annoyance.

Suggested Citation

  • Sarah L. Benz & Julia Kuhlmann & Dirk Schreckenberg & Jördis Wothge, 2021. "Contributors to Neighbour Noise Annoyance," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:8098-:d:605394
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    References listed on IDEAS

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    1. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Dirk Schreckenberg & Markus Meis & Cara Kahl & Christin Peschel & Thomas Eikmann, 2010. "Aircraft Noise and Quality of Life around Frankfurt Airport," IJERPH, MDPI, vol. 7(9), pages 1-24, August.
    4. Harris Héritier & Danielle Vienneau & Patrizia Frei & Ikenna C. Eze & Mark Brink & Nicole Probst-Hensch & Martin Röösli, 2014. "The Association between Road Traffic Noise Exposure, Annoyance and Health-Related Quality of Life (HRQOL)," IJERPH, MDPI, vol. 11(12), pages 1-16, December.
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    Cited by:

    1. Emanuele Quaranta & Gerald Müller, 2021. "Noise Generation and Acoustic Impact of Free Surface Hydropower Machines: Focus on Water Wheels and Emerging Challenges," IJERPH, MDPI, vol. 18(24), pages 1-7, December.
    2. Guoqing Di & Yihang Wang & Yao Yao & Jiangang Ma & Jian Wu, 2022. "Influencing Factors Identification and Prediction of Noise Annoyance—A Case Study on Substation Noise," IJERPH, MDPI, vol. 19(14), pages 1-14, July.

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