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Effects of Motorcycle Noise on Annoyance—A Cross-Sectional Study in the Alps

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  • Christoph Lechner

    (Institute for Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT—University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria
    Office of the Tyrolean Regional Government, Department for Emission, Safety and Sites, 6020 Innsbruck, Austria)

  • David Schnaiter

    (Independent Researcher Environment and Public Health, 6020 Innsbruck, Austria)

  • Uwe Siebert

    (Institute for Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT—University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria)

  • Stephan Böse-O’Reilly

    (Institute for Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT—University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria
    Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany
    University Children’s Hospital Regensburg (KUNO-Clinics), University of Regensburg, Clinic St. Hedwig, 93049 Regensburg, Germany)

Abstract

Motorcycle noise is an increasing noise problem, especially in Alpine valleys with winding roads and low environmental noise. The annoyance response to motorcycle engine noise is extraordinarily high in comparison to other traffic noise and cannot be explained by standard noise assessment curves. Therefore, the Tyrolean state government decided to initiate a multi-purpose study. Exposures were calculated based on sound-measurements taken across the entire district of Reutte in the western part of the State of Tyrol and a telephone survey ( n = 545) was conducted with regional participants. The influence of demographic characteristics; sensitivity to noise; attitudes towards motorcycles and background noise on the annoyance was examined using bivariate analyses. In addition; exposure-response curves and their 95% confidence intervals with cut-off points of 60% and 72% for “highly annoyed” were created. The exposure annoyance response curves for motorcycle noise show a shift of more than 30 dB in annoyance reaction compared to other road traffic noise. The annoyance response to motorcycle noise in this Alpine region is concentrated on summer Sundays and Saturdays and is independent of the background exposure caused by other road traffic

Suggested Citation

  • Christoph Lechner & David Schnaiter & Uwe Siebert & Stephan Böse-O’Reilly, 2020. "Effects of Motorcycle Noise on Annoyance—A Cross-Sectional Study in the Alps," IJERPH, MDPI, vol. 17(5), pages 1-15, February.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:5:p:1580-:d:326538
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    References listed on IDEAS

    as
    1. Jördis Wothge & Christin Belke & Ulrich Möhler & Rainer Guski & Dirk Schreckenberg, 2017. "The Combined Effects of Aircraft and Road Traffic Noise and Aircraft and Railway Noise on Noise Annoyance—An Analysis in the Context of the Joint Research Initiative NORAH," IJERPH, MDPI, vol. 14(8), pages 1-19, August.
    2. Rainer Guski & Dirk Schreckenberg & Rudolf Schuemer, 2017. "WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Annoyance," IJERPH, MDPI, vol. 14(12), pages 1-39, December.
    3. Christoph Lechner & David Schnaiter & Stephan Bose-O’Reilly, 2019. "Combined Effects of Aircraft, Rail, and Road Traffic Noise on Total Noise Annoyance—A Cross-Sectional Study in Innsbruck," IJERPH, MDPI, vol. 16(18), pages 1-26, September.
    4. Mark Brink & Dirk Schreckenberg & Danielle Vienneau & Christian Cajochen & Jean-Marc Wunderli & Nicole Probst-Hensch & Martin Röösli, 2016. "Effects of Scale, Question Location, Order of Response Alternatives, and Season on Self-Reported Noise Annoyance Using ICBEN Scales: A Field Experiment," IJERPH, MDPI, vol. 13(11), pages 1-19, November.
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