Laboratory annoyance and different traffic noise sources

Öhrström, Evy; Björkman, M.; Rylander, Ragnar

doi:10.1016/0022-460x(80)90303-x

Cited by 18 publications

(5 citation statements)

References 12 publications

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“…In a laboratory study by Öhström et al, 4 annoyances from two types of road-traffic noise ͑lorry and moped noises͒, railway noise, and aircraft noise were tested. Under the condition of controlled TAL ͑L Aeq ͒, lorry noise was the least annoying, followed by railway, aircraft, and moped noises, in that order.…”

Section: Discussionmentioning

confidence: 99%

“…However, several studies have revealed somewhat contradictory results. [4][5][6] Recent field studies in Korea [7][8][9] have yielded different results with regard to dose-response relationships and the railway bonus in comparison with those in western countries. 3,5 Annoyance responses to aircraft and railway noise in Korea were higher than in western countries.…”

Section: Introductionmentioning

confidence: 99%

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Noise-induced annoyance from transportation noise: Short-term responses to a single noise source in a laboratory

Kim

Lim²,

Hong³

et al. 2010

The Journal of the Acoustical Society of America

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An experimental study was performed to compare the annoyances from civil-aircraft noise, military-aircraft noise, railway noise, and road-traffic noise. Two-way within-subjects designs were applied in this research. Fifty-two subjects, who were naive listeners, were given various stimuli with varying levels through a headphone in an anechoic chamber. Regardless of the frequency weighting network, even under the same average energy level, civil-aircraft noise was the most annoying, followed by military-aircraft noise, railway noise, and road-traffic noise. In particular, penalties in the time-averaged, A-weighted sound level (TAL) of about 8, 5, and 5 dB, respectively, were found in the civil-aircraft, military-aircraft, and railway noises. The reason could be clarified through the high-frequency component and the variability in the level. When people were exposed to sounds with the same maximum A-weighted level, a railway bonus of about 3 dB was found. However, transportation noise has been evaluated by the time-averaged A-weighted level in most countries. Therefore, in the present situation, the railway bonus is not acceptable for railway vehicles with diesel-electric engines.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Noise-induced annoyance from transportation noise: Short-term responses to a single noise source in a laboratory

Kim

Lim²,

Hong³

et al. 2010

The Journal of the Acoustical Society of America

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show abstract

“…While several studies have already proven that long-term annoyance responses differ by source [ 11 , 45 ], the latter has only been reported by a few studies. The ranking of traffic modes regarding their impact on short-term annoyance in laboratory studies changed when the maximum sound pressure level was taken into account instead of the L Aeq [ 46 , 47 ]. However, to our knowledge, the current study is the first to compare the effect of road traffic with that of railway and air traffic on short-term annoyance with respect to the number of noise events.…”

Section: Discussionmentioning

confidence: 99%

Short-Term Annoyance Due to Night-Time Road, Railway, and Air Traffic Noise: Role of the Noise Source, the Acoustical Metric, and Non-Acoustical Factors

Weidenfeld

Sanok

Fimmers

et al. 2021

IJERPH

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Field studies on traffic noise-induced annoyance have predominantly used estimated outside noise levels. We intended to complement existing knowledge with exposure–response relationships that are based on precise indoor noise measurements. Acoustic recordings inside the bedrooms of nightly road traffic and annoyance ratings in the following morning were obtained from 40 suburban residents (mean age 29.1 years ± 11.7; 26 females). We derived exposure–response functions for the probability to be “annoyed at least a little” (%LA). Further analyses compared data from the current study with those from two earlier studies on railway and aircraft noise. Annoyance increased with the number of traffic events and the equivalent sound pressure level. The inclusion of non-acoustical factors (such as assessment of road transport) improved the prediction considerably. When comparing the different traffic noise sources, %LA was higher for road than for air traffic at a given LAeq,night, but higher for road and railway than for air traffic at a given number of noise events. Acoustical as well as non-acoustical factors impact short-term annoyance induced by road, railway, and air traffic. Annoyance varies across noise sources, which may be due to differences in acoustical characteristics or in the temporal noise distribution throughout the night.

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“…[1][2][3][4][5]). Synonyms for noise events, and other related terms describing event concepts, are: maxima [6], emergences [7,8], noise peaks [8], peak or max dB(A) levels [9], or peak noise/sound levels [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A study of the performance of a generalized exceedance algorithm for detecting noise events caused by road traffic

Brown

Coensel

2018

Applied Acoustics

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A key question for road traffic noise management is whether prediction of human response to road traffic noise could be improved by accounting for noise events instead of, or in addition to, energy equivalent or percentile measures of noise exposure. However, there is a critical prior question: how should noise events in road traffic be measured? Even at moderate traffic flow rates, detecting and counting noise events caused by road traffic is not a trivial exercise, and as yet there is no generally accepted noise event detection algorithm. This paper investigates the performance of a generalized exceedance algorithm for detecting noise events, constructed on the basis of the literature on noise events caused by road traffic. For this purpose, a microscopic traffic simulation model, coupled to an emission model that accounts for distributions of sound power levels of individual vehicles, is used to simulate one-hour time histories of the noise level in the proximity of a roadway, for an exhaustive set of traffic flow/composition and propagation distance conditions in unshielded locations. The validity and reliability of the number of noise events detected by the generalized algorithm in these one-hour time histories is then evaluated for a range of algorithm parameter sets. By discarding parameter sets that do not result in an algorithm that returns valid or reliable counts, and by examining redundancy in the remaining ones, a small number of representative parameter sets is identified, which may prove useful in the construction of event-based indicators supplementary to energy-equivalent measures of road traffic noise.

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Laboratory annoyance and different traffic noise sources

Cited by 18 publications

References 12 publications

Noise-induced annoyance from transportation noise: Short-term responses to a single noise source in a laboratory

Noise-induced annoyance from transportation noise: Short-term responses to a single noise source in a laboratory

Short-Term Annoyance Due to Night-Time Road, Railway, and Air Traffic Noise: Role of the Noise Source, the Acoustical Metric, and Non-Acoustical Factors

A study of the performance of a generalized exceedance algorithm for detecting noise events caused by road traffic

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