Spatial Variation in Sound Frequency Components Across an Urban Area Derived from Mobile Surveys

Q1 Engineering Future Cities and Environment Pub Date : 2019-02-11 DOI:10.5334/FCE.54
Tatiana Alvares-Sanches, P. Osborne, P. White, A. Bahaj
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引用次数: 3

Abstract

Continuous exposure to noise can lead to premature hearing loss, reduced cognitive performance, insomnia, stress, hypertension, cardiovascular diseases and stroke. Road noise affects the health of >125 million people in the European Union and Member States are required to map major noise hotspots. These strategic noise maps are usually derived from traffic counts and propagation models because large- scale measurement of the acoustic environment using conventional methods is infeasible. In this study, the authors surveyed the entire city of Southampton, UK using a mobile survey technique, capturing spatial variations in street-level sound characteristics across multiple frequencies from all sound sources. Over 52,000 calibrated and georeferenced sound clips covering 11 Hz to 22.7 kHz are analysed here to investigate variations in sound frequency composition across urban space and then applied to two issues: the definition of naturalness in the acoustic environment; and perceptions of social inequity in sound exposure. Clusters of acoustic characteristics were identified and mapped using spectral clustering and principal components analysis based on octave bands, ecoacoustic indices and dBA. We found independent patterns in low, mid and high frequencies, and the ecoacoustic indices that related to land use. Ecoacoustic indices partially mapped onto greenspace, identifying naturalness, but not uniquely, probably because urban anthropogenic sounds occur at higher frequencies than in the natural areas where such indices were developed. There was some evidence of inequity in sound exposure according to social deprivation and ethnicity, and results differed according to frequency bands. The consequences of these findings and the benefits of city-wide sound surveys for urban planning are discussed.
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基于移动测量的城市区域内声音频率分量的空间变化
持续接触噪音会导致过早失聪、认知能力下降、失眠、压力、高血压、心血管疾病和中风。道路噪音影响欧洲联盟1.25亿人的健康,各成员国必须绘制主要噪音热点分布图。这些策略性的噪音图通常是从交通计数和传播模型中得出的,因为使用传统方法对声环境进行大规模测量是不可行的。在这项研究中,作者使用移动调查技术调查了英国南安普敦整个城市,捕捉了来自所有声源的多个频率的街道声音特征的空间变化。本文分析了覆盖11 Hz至22.7 kHz的52,000多个校准和地理参考声音片段,以研究城市空间中声音频率组成的变化,然后将其应用于两个问题:声学环境中的自然性定义;以及对声音暴露的社会不平等的看法。基于八度频带、生态声学指数和dBA,采用光谱聚类和主成分分析方法对声学特征聚类进行识别和映射。我们发现低、中、高频的独立模式,以及与土地利用相关的生态声学指数。生态声学指数部分映射到绿地上,识别自然,但不是唯一的,可能是因为城市人为声音发生的频率高于自然区域,这些指数被开发出来。有一些证据表明,社会剥夺和种族在声音暴露方面存在不平等,结果因频段而异。讨论了这些发现的后果和城市范围内的声音调查对城市规划的好处。
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来源期刊
Future Cities and Environment
Future Cities and Environment Engineering-Architecture
CiteScore
3.10
自引率
0.00%
发文量
7
审稿时长
17 weeks
期刊最新文献
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