Abstract This study focuses on how urban functions influence the soundscape in streets by exploring associations among human behaviors, soundscape, acoustic indicators. On-site soundscape assessments were conducted in eight urban streets located in Seoul employing a soundwalk method. The eight streets were classified into two place functions: central business district (CBD) and commercial areas. Through the soundwalks, acoustic recordings and perceptual responses to soundscapes in the streets were collected. As a human behavioral indicator, crowd density was calculated in the streets. The results showed that place function plays a critical role in soundscape evaluation in urban streets. Pleasantness decreased with increasing Eventfulness on streets in CBD. In contrast, Pleasantness had a positive correlation with Eventfulness on commercial streets. This difference in the correlation could be attributed to the difference in the compositions of sound sources between central business and commercial areas. Traffic noise was the most dominant sound source in CBD, which increased Eventfulness and decreased Pleasantness of the soundscape in the streets. Meanwhile, sounds from human activities contributed to an increase in both Pleasantness and Eventfulness in commercial streets. Predictive models of soundscape reflecting the contexts of CBD and commercial streets were developed using acoustic parameters and crowd density. In the context of CBD, acoustic parameters describing spectro-temporal characteristics of traffic noise were important indicators, whereas crowd density was found to be a critical indicator to predict soundscape in the commercial streets. These findings could help in better understanding the relationships between the soundscape and place functions in urban streets.

中文翻译：

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比较韩国首尔中央商业街和商业街的声源、人类行为和声景之间的关联

摘要 本研究通过探索人类行为、声景、声学指标之间的关联，重点研究城市功能如何影响街道声景。现场声景评估在位于首尔的 8 条城市街道上采用声步法进行。8条街道被划分为中央商务区（CBD）和商业区两个地方功能。通过声音漫步，收集了声音记录和对街道声景的感知反应。作为人类行为指标，计算街道上的人群密度。结果表明，场所功能在城市街道声景评价中起着至关重要的作用。随着 CBD 街道上多事的增加，愉悦度下降。相比之下，宜人性与商业街的多事性呈正相关。这种相关性的差异可归因于中央商务区和商业区之间声源组成的差异。交通噪音是 CBD 最主要的声源，它增加了多事性并降低了街道声景的愉悦度。同时，来自人类活动的声音有助于增加商业街的宜人性和多事性。使用声学参数和人群密度开发了反映 CBD 和商业街环境的声景预测模型。在CBD背景下，描述交通噪声时空特征的声学参数是重要指标，而人群密度则是预测商业街声景的关键指标。