Lechner, Christoph ; Schnaiter, David ; Siebert, Uwe ; Bose-O’Reilly, Stephan
Alternative Links zum Volltext:DOIVerlag
Dokumentenart: | Artikel |
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Titel eines Journals oder einer Zeitschrift: | International Journal of Environmental Research and Public Health |
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Verlag: | MDPI |
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Ort der Veröffentlichung: | BASEL |
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Band: | 17 |
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Nummer des Zeitschriftenheftes oder des Kapitels: | 5 |
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Seitenbereich: | S. 1580 |
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Datum: | 2020 |
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Institutionen: | Medizin > Lehrstuhl für Kinder- und Jugendmedizin |
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Identifikationsnummer: | Wert | Typ |
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10.3390/ijerph17051580 | DOI |
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Stichwörter / Keywords: | ; annoyance; road traffic noise; motorbike noise; motorcycle noise; exposure-response functions; non-acoustic factors; background noise |
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Dewey-Dezimal-Klassifikation: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin |
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Status: | Veröffentlicht |
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Begutachtet: | Ja, diese Version wurde begutachtet |
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An der Universität Regensburg entstanden: | Ja |
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Dokumenten-ID: | 50246 |
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Web of Science
Zusammenfassung
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 ...
Zusammenfassung
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