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Download Free PDF. An Analysis of Urban Noise and its Impacts -Case Study. Urban noise, when excessive and continuous, impairs the quality of life in cities. The problem of excess noise has increased due to the imbalance between urban development and the increase in motorized traffic on streets and highways, and therefore the to such noise

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 Data supports smarter urban planning and contributes to the largest noise measuring network.• Passive Income: Earn crypto and passive income for sharing your environmental data. Participate in our measuring network and be rewarded for your efforts.• Find Quieter Spaces: Use Silencio to discover quieter venues, homes, and businesses based on real-time noise data.• Community Impact: Join a global community dedicated to fighting noise pollution and shaping healthier cities.• Privacy-First: We prioritize your privacy by ensuring your data is protected and shared only with consent.Why Choose Silencio?• Earn Crypto: Gain rewards with crypto and $SLC tokens by contributing data to the noise data network.• Broad Industry Impact: Your noise data supports industries that help build smarter, quieter urban environments.• Find Quiet Venues & Homes: Make better living and travel decisions by checking noise levels in homes, hotels, and restaurants.• Privacy and Security: Your data is encrypted, decentralized, and protected to prioritize your privacy.Join Silencio Today!Download Silencio now and be part of the solution. Earn crypto, find quieter venues, help shape healthier cities, and join the largest noise data network today.

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%. Download Free PDF. An Analysis of Urban Noise and its Impacts -Case Study. Urban noise, when excessive and continuous, impairs the quality of life in cities. The problem of excess noise has increased due to the imbalance between urban development and the increase in motorized traffic on streets and highways, and therefore the to such noise

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

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 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.

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Urban Noise as an Environmental Impact Factor in the Urban

Elements area proportion (branch, core, bridge, loop, perforation); edge element area > islet element area > other elements areas (core, branch, bridge, perforation, loop); loop element perimeter > edge element perimeter > core element perimeter > perimeter of other elements (islet, bridge, branch, perforation).(1)Areas with high green coverage can produce a stronger green space noise reduction effect. According to the regression results of the GWR geographically weighted regression model, various green space elements have different noise reduction capacities in different spatial locations, but they have better noise reduction performance in areas with high green coverage.(2)The green space close to the source of noise can play a stronger noise reduction effect. In an ecological sense, the islet is the closest to the source of the noise, with the highest degree of fragmentation, which can produce a large acoustic shadow area; The different actual noise reduction effects of green spaces with different patterns may be due to the uneven opportunities of their noise exposure. Therefore, in the process of planning and design, from the perspective of improving the urban acoustic environment, the configuration of high-quality green spaces in areas with high levels of noise pollution should be given priority, which may have better noise reduction effects.Based on the MSPA, this study classified the characteristics of urban green space patterns and discussed the impact of green space patterns on its noise reduction capacity. In the physical urban environment, the vegetation configuration of the green space itself is also worth discussing. In future research, the research object should be refined, and the vegetation configuration characteristics within the green space should be taken into account from the overall green space pattern characteristics, which can expand more means to improve the regional acoustic environment.There are also some limitations in our study. On a smaller scale, the noise reduction effect of urban green space will be affected by the properties of the green space itself and the specific situation, such as the composition of vegetation configuration, density, biomass, etc., and different seasons will also have an impact on the green space, which may lead to the configuration of the green space near the source of the noise being unable to produce the expected effect of noise reduction in the actual situation. In the research field of urban green space noise reduction, we need to combine the noise reduction laws and influencing factors of urban green space among different scales, and the planning of urban green space should also include different scales to improve the noise reduction capacity of urban green space and optimize the urban acoustic environment. Author ContributionsConceptualization, L.F. and J.W.; methodology, L.F. and J.W.; software, L.F. and J.W.; formal analysis, X.H.; investigation, L.F. and J.W.;. Download Free PDF. An Analysis of Urban Noise and its Impacts -Case Study. Urban noise, when excessive and continuous, impairs the quality of life in cities. The problem of excess noise has increased due to the imbalance between urban development and the increase in motorized traffic on streets and highways, and therefore the to such noise

Urban Noise: Measurement Duration and Modelling of Noise

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