UCL Institute for Environmental Design and Engineering, The Bartlett, University College London (UCL), Central House, 14 Upper Woburn Place, London WC1H 0NN, UK.
Int J Environ Res Public Health. 2018 Aug 10;15(8):1712. doi: 10.3390/ijerph15081712.
Soundscape research needs to develop predictive tools for environmental design. A number of descriptor-indicator(s) models have been proposed so far, particularly for the "tranquility" dimension to manage "quiet areas" in urban contexts. However, there is a current lack of models addressing environments offering actively engaging soundscapes, i.e., the "vibrancy" dimension. The main aim of this study was to establish a predictive model for a vibrancy descriptor based on physical parameters, which could be used by designers and practitioners. A group interview was carried out to formulate a hypothesis on what elements would be influential for vibrancy perception. Afterwards, data on vibrancy perception were collected for different locations in the UK and China through a laboratory experiment and their physical parameters were used as indicators to establish a predictive model. Such indicators included both aural and visual parameters. The model, based on Roughness, Presence of People, Fluctuation Strength, Loudness and Presence of Music as predictors, explained 76% of the variance in the mean individual vibrancy scores. A statistically significant correlation was found between vibrancy scores and eventfulness scores, but not between vibrancy scores and pleasantness scores. Overall results showed that vibrancy is contextual and depends both on the soundscape and on the visual scenery.
声景研究需要开发环境设计的预测工具。到目前为止,已经提出了许多描述符-指标模型,特别是用于管理城市环境中“安静区域”的“宁静”维度。然而,目前还缺乏针对提供积极吸引人的声景的环境的模型,即“活力”维度。本研究的主要目的是建立一个基于物理参数的活力描述符的预测模型,供设计师和从业者使用。通过小组访谈,提出了一个假设,即哪些元素对活力感知有影响。然后,通过实验室实验在英国和中国的不同地点收集了活力感知数据,并将其物理参数用作建立预测模型的指标。这些指标包括听觉和视觉参数。该模型基于粗糙度、人的存在、波动强度、响度和音乐的存在作为预测因子,解释了个体活力得分平均值的 76%的方差。活力得分与事件丰富度得分之间存在统计学上显著的相关性,但与愉悦度得分之间不存在相关性。总体结果表明,活力是情境性的,既取决于声景,也取决于视觉环境。