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Comparison of Annoyance from Railway Noise and Railway Vibration

Bibliographic Data

ID15488043
AuthorsMikael Ögren (0000-0002-4559-4127, University of Gothenburg, corresponding author), Anita Gidlöf-Gunnarsson (Örebro University), Michael G Smith (0000-0001-8541-9625, University of Gothenburg), Sara Gustavsson (0000-0001-7469-5851, University of Gothenburg), Kerstin Persson Waye (0000-0003-3789-4557, University of Gothenburg)
Year2017
Volume14
Issue7
Pages805-805
Publication date2017-07-19
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph14070805
PMID28753921
OpenAlexW2738940208
LanguageEN
Citations received2
References cited12

The aim of this study is to compare vibration exposure to noise exposure from railway traffic in terms of equal annoyance, i.e., to determine when a certain noise level is equally annoying as a corresponding vibration velocity. Based on questionnaire data from the Train Vibration and Noise Effects (TVANE) research project from residential areas exposed to railway noise and vibration, the dose response relationship for annoyance was estimated. By comparing the relationships between exposure and annoyance for areas both with and without significant vibration exposure, the noise levels and vibration velocities that had an equal probability of causing annoyance was determined using logistic regression. The comparison gives a continuous mapping between vibration velocity in the ground and a corresponding noise level at the facade that are equally annoying. For equivalent noise level at the facade compared to maximum weighted vibration velocity in the ground the probability of annoyance is approximately 20% for 59 dB or 0.48 mm/s, and about 40% for 63 dB or 0.98 mm/s

Acoustics · Annoyance · Facade · Noise (video · Physics · Structural engineering · Vibration · Acoustic Wave Phenomena Research · Computer Science · Engineering · Environmental Science · Noise Effects and Management · Vehicle Noise and Vibration Control · Artificial Intelligence

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Citations per year0.4
Citation span2021 - 2026 (6)
Highly citedNo

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