A model for implementing soundscape maps in smart cities

IF 1.7 Q2 ACOUSTICS Noise Mapping Pub Date : 2018-03-01 DOI:10.1515/noise-2018-0004
Jian Kang, F. Aletta, Efstathios Margaritis, Ming Yang
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引用次数: 39

Abstract

Abstract Smart cities are required to engage with local communities by promoting a user-centred approach to deal with urban life issues and ultimately enhance people’s quality of life. Soundscape promotes a similar approach, based on individuals’ perception of acoustic environments. This paper aims to establish a model to implement soundscape maps for the monitoring and management of the acoustic environment and to demonstrate its feasibility. The final objective of the model is to generate visual maps related to perceptual attributes (e.g. ‘calm’, ‘pleasant’), starting from audio recordings of everyday acoustic environments. The proposed model relies on three main stages: (1) sound sources recognition and profiling, (2) prediction of the soundscape’s perceptual attributes and (3) implementation of soundscape maps. This research particularly explores the two latter phases, for which a set of sub-processes and methods is proposed and discussed. An accuracy analysiswas performed with satisfactory results: the prediction models of the second stage explained up to the 57.5% of the attributes’ variance; the cross-validation errors of the model were close to zero. These findings show that the proposed model is likely to produce representative maps of an individual’s sonic perception in a given environment.
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在智慧城市中实现声景地图的模型
摘要智能城市需要通过推广以用户为中心的方法来处理城市生活问题,并最终提高人们的生活质量,从而与当地社区互动。Soundscape提倡基于个人对声学环境的感知的类似方法。本文旨在建立一个用于声环境监测和管理的声景图实施模型,并证明其可行性。该模型的最终目标是从日常声学环境的录音开始,生成与感知属性(例如“平静”、“愉快”)相关的视觉地图。所提出的模型依赖于三个主要阶段:(1)声源识别和分析,(2)声景感知属性的预测和(3)声景地图的实现。本研究特别探讨了后两个阶段,提出并讨论了一组子过程和方法。进行了精度分析,结果令人满意:第二阶段的预测模型解释了高达57.5%的属性方差;模型的交叉验证误差接近于零。这些发现表明,所提出的模型很可能产生个人在特定环境中声音感知的代表性地图。
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来源期刊
Noise Mapping
Noise Mapping ACOUSTICS-
CiteScore
7.80
自引率
17.90%
发文量
5
审稿时长
12 weeks
期刊介绍: Ever since its inception, Noise Mapping has been offering fast and comprehensive peer-review, while featuring prominent researchers among its Advisory Board. As a result, the journal is set to acquire a growing reputation as the main publication in the field of noise mapping, thus leading to a significant Impact Factor. The journal aims to promote and disseminate knowledge on noise mapping through the publication of high quality peer-reviewed papers focusing on the following aspects: noise mapping and noise action plans: case studies; models and algorithms for source characterization and outdoor sound propagation: proposals, applications, comparisons, round robin tests; local, national and international policies and good practices for noise mapping, planning, management and control; evaluation of noise mitigation actions; evaluation of environmental noise exposure; actions and communications to increase public awareness of environmental noise issues; outdoor soundscape studies and mapping; classification, evaluation and preservation of quiet areas.
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