On the relationship between land use and sound sources in the urban environment

Margaritis, Efstathios; Kang, Jian; Aletta, Francesco; Axelsson, Östen

doi:10.1080/13574809.2020.1730691

Cited by 14 publications

(14 citation statements)

References 21 publications

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“…In this paper three "area types" out of the 11 locations sampled in London were identified, corresponding to different patterns of (psycho)acoustic metrics. Separating the land use and urban function from an outline of sound sources is a challenging task as the two are inter-related [46][47][48]. For this case study, the area types were: traffic-dominated areas, active areas, and quiet areas.…”

Section: Different Reductions In Different Area Typesmentioning

confidence: 99%

Assessing the changing urban sound environment during the COVID-19 lockdown period using short-term acoustic measurements

et al. 2020

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The implementation of lockdown measures due to the COVID-19 outbreak has resulted in wide-ranging social and environmental implications. Among the environmental impacts is a decrease in urban noise levels which has so far been observed at the city scale via noise mapping efforts conducted through the framework of the Environmental Noise Directive. This study aims to understand how lockdown measures have manifested at a local level to better determine how the person-level experience of the urban soundscape has been affected and how these affects differ across urban space typologies. Taking London as a case study, a series of 30-second binaural recordings were taken at 11 locations representing a cross-section of urban public spaces with varying compositions of sound sources during Spring 2019 (pre-lockdown, N = 620) and Spring 2020 (during-lockdown, N = 481). Five acoustic and psychoacoustic metrics (LAeq, LA10, LA90, Loudness, Sharpness) were calculated for each recording and their changes from the pre-lockdown scenario to the lockdown scenario are investigated. Clustering analysis was performed which grouped the locations into 3 types of urban settings based on their acoustic characteristics. An average reduction of 5.4 dB (LAeq) was observed, however significant differences in the degree of reduction were found across the locations, ranging from a 10.7 dB to a 1.2 dB reduction. This study confirms the general reduction in noise levels due to the nationally imposed lockdown measures, identifies trends which vary depending on the urban context and discusses the implications for the limits of urban noise reduction.

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Section: Different Reductions In Different Area Typesmentioning

confidence: 99%

Assessing the changing urban sound environment during the COVID-19 lockdown period using short-term acoustic measurements

et al. 2020

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“…Finally, land-use-related urban form indicators were calculated as the fraction of land use in each grid cell. Various studies have been performed to analyze the relationship between land-use characteristics and road-traffic or environmental noise [16][17][18][19][20][21][22]. Categories of land use in this study were residential, commercial, industrial, and green area, and were defined, respectively, as:…”

Section: Representative Values Of the Road-traffic Noise Level And Urban Form Indicators Of A Grid Cellmentioning

confidence: 99%

“…between land-use characteristics and road-traffic or environmental noise [16][17][18][19][20][21][22]. Categories of land use in this study were residential, commercial, industrial, and green area, and were defined, respectively, as:…”

Section: Representative Values Of the Road-traffic Noise Level And Urban Form Indicators Of A Grid Cellmentioning

confidence: 99%

Statistical Road-Traffic Noise Mapping Based on Elementary Urban Forms in Two Cities of South Korea

Kim

Ryu²,

Jeon

et al. 2021

Sustainability

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Statistical models that can generate a road-traffic noise map for a city or area where only elementary urban design factors are determined, and where no concrete urban morphology, including buildings and roads, is given, can provide basic but essential information for developing a quiet and sustainable city. Long-term cost-effective measures for a quiet urban area can be considered at early city planning stages by using the statistical road-traffic noise map. An artificial neural network (ANN) and an ordinary least squares (OLS) model were developed by utilizing data on urban form indicators, based on a 3D urban model and road-traffic noise levels from a normal noise map of city A (Gwangju). The developed ANN and OLS models were applied to city B (Cheongju), and the resultant statistical noise map of city B was compared to an existing normal road-traffic noise map of city B. The urban form indicators that showed multi-collinearity were excluded by the OLS model, and among the remaining urban forms, road-related urban form indicators such as traffic volume and road area density were found to be important variables to predict the road-traffic noise level and to design a quiet city. Comparisons of the statistical ANN and OLS noise maps with the normal noise map showed that the OLS model tends to under-estimate road-traffic noise levels, and the ANN model tends to over-estimate them.

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“…The importance given to preferred urban sounds as a way to improve the quality of life of citizens, or the relevance of certain urban acoustic environments, of high cultural value in their own right, to be preserved and restored if degraded, have changed it all. At present, urban soundscape studies is a research field closely linked to urban sustainable design, resulting in spaces where ambient noise is not the protagonist of the scene because of its magnitude, but as a consequence of the way in which it is perceived, including health-related issues [4][5][6]. The city of Granada, in southern Spain, is not far from this strategic movement of using soundscape evaluations to complement and accompany legal commitments, meaning that urban acoustic climate research, by means of soundwalks, is not a new discipline.…”

Section: Urban Design and Sound Perception In Contextmentioning

confidence: 99%

Urban Soundscape Assessment by Visually Impaired People: First Methodological Approach in Granada (Spain)

et al. 2021

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Soundscape assessments by citizens are starting to emerge as a common practice, normally carried out in context by means of soundwalks along selected paths with volunteers. However, when such assessments are carried out, either in situ or in laboratory experiments, visually impaired citizens are not usually involved. To address this question, three soundwalks were carried out in 2020 in the city of Granada, in southern Spain, with the participation of visually impaired people. In this paper, we present the lessons learnt from this research with respect to the methodology issues that have to do with soundwalking and the surveying procedures when people with limited vison are participating, the assessment results, and a comparison with a soundscape evaluation carried out in 2019 without the collaboration of visually impaired people. The results of this preliminary campaign highlight that: (1) Adapting soundscape assessment protocols from standards for visually impaired people is a methodological challenge that requires research attention; (2) Some of the different patterns in the assessment of the soundscape pleasantness between visually impaired and nonvisually impaired participants emerged; (3) The perception of quietness may differ for visually impaired people when orientation and identification are factors that play a role in the acoustic environment evaluation.

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On the relationship between land use and sound sources in the urban environment

Cited by 14 publications

References 21 publications

Assessing the changing urban sound environment during the COVID-19 lockdown period using short-term acoustic measurements

Assessing the changing urban sound environment during the COVID-19 lockdown period using short-term acoustic measurements

Statistical Road-Traffic Noise Mapping Based on Elementary Urban Forms in Two Cities of South Korea

Urban Soundscape Assessment by Visually Impaired People: First Methodological Approach in Granada (Spain)

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