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The influence of visual characteristics of barriers on railway noise perception

机译:障碍物的视觉特性对铁路噪声感知的影响

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Noise annoyance is considered as the main effect of noise, it is a complex and multifaceted psychological concept dealing with immediate behavioral and evaluative aspects. In the last decades the research has intensely investigated the correlation between noise exposure and noise annoyance, nevertheless recent studies confirm that non-auditory factors influence the noise perception of individuals. In particular audio-video interaction can play a fundamental role. Today Immersive Virtual Reality (IVR) systems allow building laboratory test providing realistic experiences of the surrounding environment to detect more accurate information about the reactions of the local population. Regarding the interventions for environmental noise control the barriers represent the main solution; however some aspects related to their visual characteristic have to be further investigated. This paper presented a case study, where a sample of residents living close to a railway line assessed noise-related aspects for several barriers with different visual characteristics in an IVR laboratory test In particular, three main factors were analyzed: the barrier type concerning the visibility of the noise source through the screen, the visual aspect of the barrier concerning some aesthetic issues and the noise level at the receiver concerning the acoustic performance of the barrier and the magnitude of the sound source. The main results of the ANOVA analysis showed that for transparent barriers Perceived Loudness and Noise Annoyance were judged lower than for opaque barriers; this difference increased as noise level increased.
机译:噪声烦恼被认为是噪声的主要影响,它是一个复杂且多方面的心理概念,涉及立即的行为和评估方面。在过去的几十年中,该研究集中研究了噪声暴露与噪声烦恼之间的相关性,然而最近的研究证实,非听觉因素会影响个人对噪声的感知。特别地,音频视频交互可以起基本作用。如今,沉浸式虚拟现实(IVR)系统允许进行实验室测试,从而提供周围环境的真实体验,以检测有关本地居民反应的更准确信息。关于环境噪声控制的干预措施,障碍是主要解决方案;然而,与它们的视觉特性有关的某些方面必须进一步研究。本文提供了一个案例研究,其中一个居住在铁路线上的居民样本在IVR实验室测试中评估了具有不同视觉特征的多个障碍物的噪声相关方面。特别是,分析了三个主要因素:与可见度有关的障碍物类型通过屏幕的噪声源,屏障的视觉方面(涉及一些美学问题)以及接收器处的噪声水平(涉及屏障的声学性能和声源的大小)。 ANOVA分析的主要结果表明,对于透明屏障,感知的响度和噪声烦恼被判定为低于不透明屏障;随着噪声水平的增加,这种差异也随之增加。

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