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Audio-Visual Preferences and Tranquillity Ratings in Urban Areas

机译:市区的视听喜好和宁静等级

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During a survey related to acoustic and visual perception of users of urban areas, 614 people have been interviewed in Pisa (Italy). The work aims to identify and quantify the effects of parameters influencing the perception of tranquillity in order to understand the soundscape and to propose a method based on the perception of tranquillity for the detection of quiet areas within urban ones. A linear model that predicts the tranquillity perceived in different environments, based on their visual and acoustic characteristics, is proposed. Users were interviewed by operators inside the areas, using a direct approach of standardized questionnaires and oral questions. Simultaneous noise measurements and soundwalks have been performed, together with visual registrations. The linear model obtained predicts the perceived tranquillity based on the statistical level L A10 (A-weighted noise level exceeded for 10% of the measurement time) the sound sources and visual elements. The perceived tranquillity results negatively correlated to L A10 and to the presence of sound sources or negative visual elements. The presence of beneficial sound sources is positively correlated to the perceived tranquillity. However, the effect of the noise level is regulated by environmental characteristics. Perceived tranquillity is proposed as an indicator to identify quiet areas in the urban environment, according to European Directive 49/2002/EC. The obtained model identifies the areas that would get a higher tranquillity value than a fixed threshold value and therefore would be perceived as quiet. The model can be used as a cost-benefit analysis support tool to identify the best solution between the reduction of noise levels and the regeneration of urban areas, referring to the tranquillity perceived by the users.
机译:在一项与城市用户的听觉和视觉感知有关的调查中,在比萨(意大利)接受了614人的采访。这项工作旨在识别和量化影响宁静感的参数的影响,以便了解声景,并提出一种基于宁静感的方法来检测城市中的安静区域。提出了一种线性模型,该模型根据视觉和听觉特征预测在不同环境中感知到的宁静。使用标准化问卷和口头问题的直接方法,由区域内的操作员对用户进行了采访。同时进行了噪声测量和声音行走,并进行了视觉记录。所获得的线性模型基于统计水平L A10(在测量时间的10%内超过A加权噪声水平)声源和视觉元素来预测感知到的宁静。感知到的宁静结果与L A10以及声源或负面视觉元素的存在负相关。有益声源的存在与感知到的宁静度呈正相关。但是,噪声水平的影响受环境特性的限制。根据欧洲指令49/2002 / EC,建议将感知到的宁静作为识别城市环境中安静区域的指标。所获得的模型识别出将获得比固定阈值高的宁静值并因此被视为安静的区域。该模型可以用作成本效益分析支持工具,以参考用户所感觉到的宁静来确定降低噪音水平和城市地区再生之间的最佳解决方案。

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