Quantification of the effects of audible rattle and source type on the human response to environmental vibration

The present research quantifies the influence of source type and the presence of audible vibration-induced rattle on annoyance caused by vibration in residential environments. The sources of vibration considered are railway and the construction of a light rail system. Data were measured in the United Kingdom using a socio-vibration survey (N = 1281). These data are analyzed using ordinal logit models to produce exposure{response relationships describing community annoyance as a function of vibration exposure. The influence of source type and the presence of audible vibration-induced rattle on annoyance are investigated using dummy variable analysis, and quantified using odds-ratios and community tolerance levels (CTL). It is concluded that the sample population is more likely to express higher levels of annoyance if the vibration source is construction compared to railway, and if vibration-induced rattle is audible

Introduction of innovative analysis methods in frequency and energy domain for the development of hydraulic components

International audienc

Railway noise annoyance modeling: Accounting for noise sensitivity and different acoustical features

International audienc

Nature and the City: Audiovisual interactions in pleasantness and psychophysiological reactions

International audienc

Noise Annoyance from Industrial and Road Traffic Combined Noises: A Survey and a Total Annoyance Model Comparison

International audienceThe literature on noise annoyance emphasizes that acoustical factors cannot totally explain the annoyance felt by a population exposed to community noises, and that some non-acoustical factors have an effect on annoyance. This research paper deals with the annoyance caused by combined noises coming from road traffic and an industrial site. This type of combination has been very little studied to date. An . in situ study was conducted in an area of a French town exposed to these two noise sources. To investigate the annoyance caused by these combined noises, the work involved both a mapping of the industrial and road traffic noises present in the survey area and a questionnaire designed to evaluate the noise annoyance experienced by residents and to identify the factors that probably influence noise annoyance. The results highlight the link between the noise levels measured and the annoyance felt by the respondents. They also show that certain non-acoustical factors have an impact on annoyance felt. Indeed, the results highlight a positive correlation between fear of industrial sites and the annoyance expressed. They also show correlations between some items to evaluate noise sensitivity and the annoyance expressed. No significant correlation has been found between annoyance and the other non-acoustical factors such as age, sex and length of residence. Finally, several total annoyance models were tested for this noise combination. Two of them, namely the strongest component model and a proposed perceptual version of the mixed model, were able to better predict total annoyance than the other tested models

Nature and the City: Audiovisual interactions in pleasantness and psychophysiological reactions

International audienc

Nature and the City: Audiovisual interactions in pleasantness and psychophysiological reactions

International audienc

Noise Pollution Indicators, In: R.H. Armon, O. Hanninen (eds.), Environmental Indicators

Noise is a major environmental issue, which gave birth in the last decades to extensive research and consecutively to the development of many estimation and mitigation engineering methods. The specificity of this pollution, which lies in its high spatiotemporal variations, its rich spectral component, its variety of sources, and the complexity of human hearing, explains the abundance of the existing noise indicators. Many energetic, statistical, noise event or emergence general indices have been developed. Complementing these, indicators have been produced to describe specific noise sources (road traffic, railway, aircraft...) and their resulting effects on human well-being, which makes the development of indicators directly influenced by the progress in modeling. This review shows the difficulty in finding a set of indicators able to capture both the physical characteristics of noise environments and its effects