Exposure-response relationships for transportation noise

Miedema, Harald S.; Vos, Henk

doi:10.1121/1.423927

Cited by 440 publications

(318 citation statements)

References 7 publications

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“…The MLE corresponds to the parameter values that are most probable (likely) given a set of observations. 6,8 We assume that each survey location, i ¼ 1; 2; …; N, can be regarded as a Bernoulli process, in which there is a probability y i that an individual will indicate being "highly annoyed" (or analogous description) by the noise. The total number of survey respondents is n ¼ P n i .…”

Section: Estimation Of Annoyance Model Parametersmentioning

confidence: 99%

“…3,6,8 As is typical, for convenience we maximize logðLÞ instead of L itself, and ignore constant terms that do not contribute to the result. Hence, most generally, we search for parameters a 1 ; :::; a N ; b 1 ; :::; b N maximizing log½Lða 1 ; :::; a N ; b 1 ; :::;…”

Section: Estimation Of Annoyance Model Parametersmentioning

confidence: 99%

“…Most previous dose-response curves have involved two or more explicit, adjustable parameters (e.g., a linear or higher-degree polynomial). 1,8,9 The model of Fidell et al 4 has one explicit parameter, the estimated noise dose. The rate of growth of community annoyance is assumed to be determined by loudness as perceived by an individual listener, which grows as signal energy to the power 0.3, as suggested by Stevens.…”

Section: Introductionmentioning

confidence: 99%

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Information-criterion based selection of models for community noise annoyance

Wilson

Valente²,

Nykaza³

et al. 2013

The Journal of the Acoustical Society of America

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Statistical evidence for various models relating day-night sound level (DNL) to community noise annoyance is assessed with the Akaike information criterion. In particular, community-specific adjustments such as the community tolerance level (CTL, the DNL at which 50% of survey respondents are highly annoyed) and community tolerance spread (CTS, the difference between the DNL at which 90% and 10% are highly annoyed) are considered. The results strongly support models characterizing annoyance on a community-by-community basis, rather than with complete pooling and analysis of all available surveys. The most likely model was found to be a 2-parameter logistic model, with CTL and CTS fit independently to survey data from each community.

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Section: Estimation Of Annoyance Model Parametersmentioning

confidence: 99%

Section: Estimation Of Annoyance Model Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Information-criterion based selection of models for community noise annoyance

Wilson

Valente²,

Nykaza³

et al. 2013

The Journal of the Acoustical Society of America

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“…It can be roughly estimated that the overall noise emission will increase by 5 dB(A) unless appropriate countermeasures are taken. This may also affect human health as annoyance and sleep disturbance may increase (Miedema & Vos, 1998;UNIFE et al, 2001). Annoyance and sleep disturbance are the most important health effects of environmental noise exposure.…”

Section: Railway Noisementioning

confidence: 99%

A methodology for developing high damping materials with application to noise reduction of railway track

Ahmad

2009

The Journal of the Acoustical Society of America

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For application in damping treatments, elastomeric materials should have a high damping loss factor, but this is inevitably linked to a strong temperature-dependence of the dynamic properties. A methodology is developed that allows a material to be formulated for a particular damping application where temperature-dependence has to be taken into account. The methodology is applied to the case of a tuned absorber system used for damping the vibration of a railway track. This is required to be effective over a temperature range -20 to 40 .To investigate the effect of the temperature on the performance of a rail damper, a simple Timoshenko beam model of the track vibration is used, to which are added single-frequency and dual-frequency tuned absorbers. The results show that a high noise reduction can be achieved for the optimum stiffness, provided that the loss factor is between about 0.25 and 0.4.In order to study the generic effects of high damping versus constant stiffness, the time-temperature superposition principle is used to convert frequency-dependence to temperature-dependence for a notional material with constant loss factor. This is used in the prediction of decay rates and thereby noise reduction. In addition, a weighted noise reduction is studied by using measured rail temperature distributions. This temperatureweighted noise reduction allows a single number measure of performance to be obtained which can be used to assess various elastomeric materials in order to determine the optimum material for a given situation.Two types of viscoelastic material, butyl and EPDM rubbers with various amount of fillers and plasticisers are investigated. The properties of both rubbers have been measured over the range of temperatures for frequencies 300-3000 Hz. For this a test rig had to be modified. For butyl, the best combination of filler and plasticiser gives temperature weighted noise reductions up to 5.9 dB(A). Butyl rubber is suitable for use in the rail absorber giving high noise reductions between 0 and 40 . The best EPDM compound gives a temperature-weighted noise reduction up to 6.2 dB(A). Comparing these two rubbers, EPDM is more suitable for low temperatures below 10 and butyl is more suitable for higher temperatures above 10 .

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“…The assessment of the impact of mobility on the urban sound climate and the quality of life, is mostly based on the calculation of noise maps, using a set of standard calculation schemes for the evaluation of the contribution of different sources. This has already been extended to mapping the expected percentage of highly annoyed people based on exposure-response relationships [2]; there have even been initiatives to produce an integrated presentation of different environmental and quality of life-maps [3,4].…”

Section: Introductionmentioning

confidence: 99%

The influence of traffic flow dynamics on urban soundscapes

et al. 2005

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The development and validation of a model for dynamic traffic noise prediction is presented. The model is composed of a GIS-based traffic microsimulation part coupled with an emission model, and a beamtrace-based 2.5D propagation part, which takes into account multiple reflections and diffractions. The model can be used to analyze the influence of real urban traffic situations (e.g., traffic flow management, road saturation) in the usual equivalent sound level maps. However, it also allows to calculate and visualize statistical noise levels and indicators derived from them. Novel descriptors based on the power spectrum of noise level fluctuations can be obtained. A part of Gentbrugge, Belgium, is taken as a validation area; different traffic demand scenarios are simulated.

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Exposure-response relationships for transportation noise

Cited by 440 publications

References 7 publications

Information-criterion based selection of models for community noise annoyance

Information-criterion based selection of models for community noise annoyance

A methodology for developing high damping materials with application to noise reduction of railway track

The influence of traffic flow dynamics on urban soundscapes

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