Urban noise

Author: m | 2025-04-23

It reviews the physical assessment of urban noise, ratings, descriptors and criteria, transportation noise, effects of noise on health, community response, urban noise prediction and urban noise control, and is designed to be used at postgraduate and research level. (source: Nielsen Book Data) Subjects.

Urban noise profile. Example of a 10s segment urban noise

1. IntroductionThe development and renewal of cities have brought higher noise levels and more noise worries [1,2,3,4,5,6,7]. Traffic noise is a common noise source in urban environments [8]. It is also the main source of urban space noise pollution [9,10]. Traffic noise is believed to disturb residents’ sleep, increase cardiovascular disease, have adverse effects on mental health, and cause more noise annoyance [11]. It was shown that a green belt between the noise source and the receiver can reduce the noise level perceived by the receiver in a 1946 investigation in the Panama jungle [12]. As the noise reduction function of vegetation has been confirmed by many studies, green space noise reduction has been the focus of an increasing number of studies.How to reduce noise and the relevant annoyance by configuring urban internal vegetation has been followed by studies in the field of green space noise reduction [13,14,15,16,17]. The noise reduction potential of green space in cities has attracted much attention. At present, the studies on the relationship between urban green space and noise mainly focus on the vegetation composition and structure configuration on a small scale, such as local green belts and small green spaces. At the level of urban planning, little of the literature guides the reduction effect of urban green space on the urban noise environment. At the same time, few studies can analyze the effect of the green space form on urban regional environmental noise separately at the spatial level. The reason is that the impact of urban green space on noise reduction is weaker than urban structures such as buildings, and the impact mechanism of urban green space and buildings on urban environmental noise has not been explored, so it is difficult to separate the green space form and urban environmental noise from the overall urban morphological characteristics. A study discussed the impact of urban green space on traffic noise through the measured data of acoustic instruments and the ordinary least square linear regression model [18]. One study showed that noise barriers significantly affect the dispersion of noise-borne air pollutants near roads on the receptor side [19,20]. However, whether it is the data provided by environmental noise detection stations or the noise data directly measured by sound pressure meters, it contains the impact of various urban form factors on the results, The type of sound source at the measuring point is difficult to be represented by a certain noise.According to the existing research, urban green space has a significant effect on regulating the urban atmospheric environment, including noise [21,22,23]. From the perspective of green space influencing factors [24], more green space area [25], vegetation density [26], and more compact vegetation configuration can more effectively reduce

Urban Noise: Management of City Noise

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. Full article (This article belongs to the Special Issue Urban Noise) ► Show Figures 18 pages, 2548 KiB Open AccessArticle Noise Estimation Using Road and Urban Features by Guillermo Rey Gozalo, Enrique Suárez, Alexandra L. Montenegro, Jorge P. Arenas, Juan Miguel Barrigón Morillas and David Montes González Cited by 25 | Viewed by 4547 Abstract Noise pollution must be considered to achieve sustainable cities because current levels of exposure to environmental noise are a considerable risk to the health and quality of life of citizens. Urban features and sound levels were registered in 150 streets in the Chilean [...] Read more. Noise pollution must be considered to achieve sustainable cities because current levels of exposure to environmental noise are a considerable risk to the health and quality of life of citizens. Urban features and sound levels were registered in 150 streets in the Chilean cities of Talca and Valdivia to analyze the relationship between both types of variables. Urban variables related to street location, urban land use, street geometry, road traffic control, and public and private transportation showed very significant correlations with the noise levels, and multiple regression models were developed from these variables for each city. Models using only urban variables in Valdivia and Talca explained 71%

Urban noise profile. Example of a 10s segment urban noise file

The decline of the overall green space noise reduction capacity. In this regard, there is a relatively consistent conclusion with many previous studies [18,42]. 4.3. Regulate the Characteristics of Urban Green Space Distribution to Improve the Noise Reduction Capacity of Green SpaceAccording to Table 2 and Figure 8E, increasing the area and proportion of islets is an efficient method to reduce urban environmental noise, improve the green space coverage of high-density noise source areas, increase the small green space among them, and correspond to the actual urban environment. There are various ancillary green spaces, parks, etc. More allocation of such highly fragmented green space has strong operability and can produce better noise reduction effects, especially, optimizing the location of a green space can enhance its mitigation effect on the level of noise pollution [18].First of all, we need to pay attention to the strong noise reduction capacity of the core and edge. Therefore, deploying these two green space elements near the noise source can play a better role in noise reduction [18]. However, the large urban green spaces corresponding to the core, such as comprehensive parks, wetland parks, scenic spots, and other large urban green spaces, depend on the natural background, and it is difficult to deploy them from the planning perspective. Therefore, if it is necessary to give better play to the noise reduction capacity of the core and edge, it is necessary to configure the areas with high noise, such as construction land, commercial land, etc., near the large green spaces and use the edge effect of green space core to reduce noise. At the same time, in the interior of the large green space, reducing the interference factors of internal core green space, maintaining the continuity of green space, and configuring complex core green space shapes as far as possible also helps to improve the noise reduction capacity of green space [19].Secondly, when the area of branch and bridge elements remains unchanged, the more complex the shape is, the more it can improve its noise reduction capacity, corresponding to various road green belts in the urban environment. Therefore, the feasible operation to improve the noise reduction capacity through branches and bridges is to configure the ribbon green space with the smallest area and the most complex shape in the middle and high-density noise source areas of the city [19]. 5. ConclusionsUrban green space patterns can significantly affect the net noise reduction of green space. Larger green patches, higher green coverage, more complex green space shapes, and more fragmented urban green space can produce higher noise reduction. The urban green space elements corresponding to the MSPA analysis method are islet area proportion > edge area proportion > other. It reviews the physical assessment of urban noise, ratings, descriptors and criteria, transportation noise, effects of noise on health, community response, urban noise prediction and urban noise control, and is designed to be used at postgraduate and research level. (source: Nielsen Book Data) Subjects. An urban noise monitoring terminal (NMT) is a specialized device designed to accurately measure and record noise levels in urban environments. These terminals provide real-time data on noise pollution, enabling cities to monitor, assess, and manage urban noise effectively.

Urban Noise as an Environmental Impact Factor in the Urban

The transmission efficiency of noise and form acoustic shadow areas [13,14,27]. However, in the urban environment, a large green space is often determined by the original natural environment of the city, and it is difficult to improve the acoustic environment simply by increasing green space area and biomass. Therefore, how to use the limited green space in the city to produce a better noise reduction effect has become a topic worthy of discussion. In the research of morphological spatial patterns, MSPA research methods are widely used in various studies. Morphological spatial pattern analysis (MSPA) is an image processing method that uses corrosion, expansion, open calculation, and closed calculation to segment, recognize, and classify the graphics, mainly describing the geometric arrangement and connectivity of map elements [28,29]. At present, most studies based on MSPA focus on species’ habitat environment, migration corridor construction [30,31], and green space landscape pattern [32]. This method can rapidly identify the morphological pattern of elements in space. Through the morphological spatial pattern analysis of urban green space, the spatial pattern characteristics of urban green space can be quickly extracted; Combined with ecological interpretation and correlation analysis, we can further explore the law of change in noise reduction capacity of urban green space with different pattern characteristics.Some studies have explored the relationship between urban green space and noise levels at the urban scale [26]. In addition, some scholars have discussed the impact of auditory and thermal perception on people’s acoustic perception in different environments [25,26]. However, the research on the relationship between urban green space and noise level from the perspective of green space noise reduction is limited now, and the influencing factors of green space noise reduction effect are still unclear. To explore the change in noise reduction capacity of urban green space under different pattern characteristics, we aim to ① explore the change in noise reduction capacity of green space under different patterns characteristics in urban environments; ② identify the influencing factors of urban green space noise reduction capacity; ③ propose a method to enhance the noise reduction capacity of urban green space.Therefore, this study mainly focuses on urban elements such as urban green space and, according to the MSPA morphological spatial pattern analysis method, rapidly identifies the spatial pattern characteristics of urban green space and summarizes the distribution pattern characteristics of green space in the Fuzhou high-tech zone. It also obtains noise reduction maps of urban green spaces by simulating noise with and without green spaces and performing difference calculations and summarizes the spatial distribution characteristics of the net noise reduction of green spaces. It analyzes the correlation between the characteristics of the green space distribution pattern and green space noise reduction to explore the

Urban Noise: Measurement Duration and Modelling of Noise

Author / Affiliation / Email Share This Special Issue Special Issue Editor Prof. Dr. Guillermo Rey Gozalo E-Mail Website Guest Editor INTERRA, Department of Applied Physics, University of Extremadura, Cáceres, Spain Interests: urban noise; environmental acoustics; noise mapping; urban planning; soundscape; sound perception; acoustic assessment; bioacoustics; acoustic characterization of recycled materials Special Issues, Collections and Topics in MDPI journals Special Issue Information Dear Colleagues,The mobility of people and goods by means of transport is a vital part of today's society. However, noise pollution is one of the main problems associated with this mobility because of its harmful impact on human health and well-being. Noise is therefore a factor in urban sustainability that must be considered. In this regard, actions targeting transportation noise sources are not enough to mitigate this environmental problem, so the development of green and quiet areas as well as changes to buildings are necessary to reduce the exposure of the population to environmental noise. Decreasing sound levels is not always technically feasible and is sometimes not enough to improve people's perception of noise. This Special Issue, "Urban noise" aims to create a scientific space where the problem of urban noise is treated from different approaches. Contributors from different perspectives are invited to submit original research papers on the following topics: temporal and spatial methodologies for the assessment of urban noise; sound perception in urban environments, quiet and green areas; relationships among urban morphology and facilities, sound levels and noise perception; methodologies and indicators for the assessment of the soundscape; applications for the assessment of urban noise; free display interfaces for urban noise data; and the influence of building morphology and composition on urban sound propagation and attenuation.Prof. Dr. Guillermo Rey GozaloGuest EditorManuscript Submission InformationManuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website.

Urban Noise: Management of City Noise - svantek.com

Aspects influencing the population perception are still little-known. This [...] Read more. Low-noise thin asphalt layers (TALs) are a feasible solution to mitigate road traffic noise in urban environments. Nevertheless, the impacts of this type of noise intervention are reported mostly regarding noise levels, while non-acoustic aspects influencing the population perception are still little-known. This study investigates the implementation of TALs in two streets of Antwerp, Belgium. The effectiveness of the intervention was measured via noise modelling and acoustic measurements of road traffic noise. A reduction of 2.8 dB in noise exposure was observed in Lden and Lnight, while SPB measurements showed decreases up to 5.2 dB on the roadside. The subjective impacts of the TALs were evaluated via self-administered surveys and compared to results from control streets. The annoyance indicators were positively impacted by the TALs implementation, resulting in annoyance levels similar or lower than in the control streets. The TALs did not impact the reported physical complaints, sleep quality, and comfort level to perform activities. Full article (This article belongs to the Special Issue Urban Noise) ► Show Figures 17 pages, 10067 KiB Open AccessArticle Statistical Road-Traffic Noise Mapping Based on Elementary Urban Forms in Two Cities of South Korea by Phillip Kim, Hunjae Ryu, Jong-June Jeon and Seo Il Chang Cited by 16 | Viewed by 3915 Abstract 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 [...] Read more. 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. It reviews the physical assessment of urban noise, ratings, descriptors and criteria, transportation noise, effects of noise on health, community response, urban noise prediction and urban noise control, and is designed to be used at postgraduate and research level. (source: Nielsen Book Data) Subjects. An urban noise monitoring terminal (NMT) is a specialized device designed to accurately measure and record noise levels in urban environments. These terminals provide real-time data on noise pollution, enabling cities to monitor, assess, and manage urban noise effectively.