scholarly journals The level of ambient sounds as an indicator of urban road safety

2020 ◽  
Vol 66 (4) ◽  
pp. 11-18
Author(s):  
Filip Zivkovic
Keyword(s):  
Urban Areas ◽  
Road Safety ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Summer Period ◽  
Urban Road ◽  
Sound Levels ◽  
Ambient Sound ◽  
As Stress ◽  
The City

Traffic in urban areas has led to environmental noise pollution. However, traffic is not only source of noise, so environmental noise is referred to as a communal noise, which is combination of several sources. All sources may lead to consequences on human health such as: stress, tinnitus, cardiovascular and respiratory diseases and death in extreme cases. In this regard, ambient sound levels were measured at 19 locations in the city of Belgrade, during the winter and summer period. The aim of this paper is to show ambient sounds level as an indicator of urban road safety, based on which it would be possible to complete the goals of creating cities suitable for the life of citizens.

Aspects of Urban Noise Pollution in a Large Brazilian City

2003 ◽  
Vol 34 (10) ◽  
pp. 16-22
Author(s):  
Paulo Henrique ◽  
Trombetta Zannin
Keyword(s):  
Urban Development ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Sound Level ◽  
Urban Noise ◽  
Sound Levels ◽  
The Us ◽  
Housing And Urban Development ◽  
The City

This paper presents the results obtained in a study on environmental noise pollution in the city of Curitiba, Brazil. The equivalent sound level values - LA,eq,2hr - were measured and tabulated for 1000 locations spread over the urban zones of the city of Curitiba. It was found that 93.3% out of the locations display, during the day, equivalent sound levels over 65 dB(A), and 40.3% out of the locations measured display during the day extremely high values of equivalent sound levels: over 75 dB(A). Measurement points were evaluated according to the assumptions established by two types of legislation: 1) local legislation: Law 8583 of 1995, which deals with urban noise and public comfort; 2) international legislation: the criteria of the US Department of Housing and Urban Development - HUD.

scholarly journals LiDAR based urban vegetation mapping as a basis of green infrastructure planning

2020 ◽  
Vol 171 ◽  
pp. 02008
Author(s):  
Krzysztof Pyszny ◽  
Mariusz Sojka ◽  
Rafał Wróżyński
Keyword(s):  
Green Infrastructure ◽  
Urban Areas ◽  
Laser Scanning ◽  
Noise Pollution ◽  
Point Clouds ◽  
Data Mapping ◽  
Vegetation Density ◽  
Island Effect ◽  
Detailed Assessment ◽  
The City

Planning green infrastructure in the cities is a challenging task for planners and city managers. Developing multifunctional green space systems provide many benefits including: increasing water retention, mitigating urban heat island effect, microclimate regulation, reducing air, water and noise pollution and conservation biodiversity. The greenery in the city also have an impact on human health. The paper presents the possibilities of using LiDAR data mapping vegetation density in urban areas on the example of Gorzów Wielkopolski (Poland). Maps made as a result of processing the point clouds obtained from airborne laser scanning represents the most accurate, comprehensive and detailed assessment of Gorzów Wielkopolski vegetation cover to date and establishes the baseline for greenery governance and planning of green infrastructure in the city.

scholarly journals Traffic Noise Levels in the City of Banja Luka

2018 ◽  
Vol 16 (1-2) ◽  
Author(s):  
Predrag Ilić ◽  
Dragana Nešković Markić ◽  
Ljiljana Stojanović Bjelić
Keyword(s):  
Noise Level ◽  
Environmental Problem ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Noise Levels ◽  
Great Problem ◽  
Health Institutions ◽  
Banja Luka ◽  
The City

Noise pollution, as a major environmental problem, is present in Banja Luka. The measured values exceeded the level of noise allowed, which is a great problem. Evaluation of the noise levels was carried out in the streets in the area with health institutions. Objectives of this research were to evaluate the environmental noise pollution in the City of Banja Luka due to traffic noise and to compare the measured noise levels in the city with legislation and to establish the connection between noise and the number of vehicles. Correlation between the noise level and number of vehicles was positive and significant during the study period (r=0.89). It is confirmed that, with the increase of the number of vehicle, the noise level increases, i.e. the decrease in the number of vehicle decreases the noise level.

scholarly journals Impact of Air Transport on the Noise Level in the City of Burgas

2019 ◽  
Vol 101 ◽  
pp. 04003
Author(s):  
Stela Todorova ◽  
Kaloyan Haralampiev
Keyword(s):  
Regression Model ◽  
Noise Level ◽  
Urban Areas ◽  
Noise Pollution ◽  
Air Traffic ◽  
Noise Levels ◽  
Monthly Basis ◽  
Main Research ◽  
Independent Variables ◽  
The City

Aviation, as every type of transport, is responsible for a number of negative external effects to the environment. The main goal of this study is to reveal the relation between the noise level in the urban areas near to the Burgas airport and the air traffic. Our main research tasks are: to make a literature review of the problem; to gather data for the noise levels; to gather data for the air traffic; to choose relevant statistical methods and models for the revealing of the relation between the noise level and air traffic; to draw conclusions and to make recommendations about the noise pollution in the vicinity of Burgas Airport. The data are on monthly basis and cover the period from January 2015 to December 2017, i.e. 36 months. In our regression model we use three traffic indicators as independent variables: aircraft movements; passengers and freight. In the established regression model we introduce ‘the time’ as an additional factor, which provides concrete practical advantages. Our results show that two independent variables (aircraft movements and freight) affect the Twenty-four hours average equivalent level of noise due to flights. Aircraft movements are the most important factor and we expect their increasing in the future. This will lead to increased noise levels.

scholarly journals How Can Low-Frequency Noise Exposure Interact with the Well-Being of a Population? Some Results from a Portuguese Municipality

2019 ◽  
Vol 9 (24) ◽  
pp. 5566 ◽  
Author(s):  
Juliana Araújo Alves ◽  
Lígia Torres Silva ◽  
Paula Remoaldo
Keyword(s):  
Urban Areas ◽  
Noise Exposure ◽  
Low Frequency ◽  
Noise Pollution ◽  
Well Being ◽  
Sound Level ◽  
Frequency Noise ◽  
Low Frequency Noise ◽  
Sound Levels ◽  
Exposed Population

Noise pollution is the second most harmful environmental stressor in Europe. Portugal is the fourth European country most affected by noise pollution, whereby 23.0% of the population is affected. This article aims to analyze the effects of exposure to low frequency noise pollution, emitted by power poles and power lines, on the population’s well-being, based on a study of “exposed” and “unexposed” individuals in two predominantly urban areas in north-western Portugal. To develop the research, we used sound level (n = 62) and sound recording measurements, as well as adapted audiometric test performance (n = 14) and surveys conducted with the resident population (n = 200). The sound levels were measured (frequency range between 10 to 160 Hz) and compared with a criterion curve developed by the Department for Environment, Food and Rural Affairs (DEFRA). The sound recorded was performed 5 m away from the source (400 kV power pole). Surveys were carried out with the “exposed” and “unexposed” populations, and adapted audiometric tests were performed to complement the analysis and to determine the threshold of audibility of “exposed” and “unexposed” volunteers. The “exposed” area has higher sound levels and, consequently, more problems with well-being and health than the “unexposed” population. The audiometric tests also revealed that the “exposed” population appears to be less sensitive to low frequencies than the “unexposed” population.

scholarly journals Ruido en la ciudad. Contaminación auditiva y ciudad caminable / Noise in the city. Acustic pollution and the walkable city

2016 ◽  
Vol 32 (1) ◽  
pp. 65 ◽  
Author(s):  
Miriam Alfie Cohen ◽  
Osvaldo Salinas Castillo
Keyword(s):  
Environmental Management ◽  
Environmental Effects ◽  
Urban Areas ◽  
Public Policies ◽  
Noise Pollution ◽  
Public Spaces ◽  
The Public ◽  
City Environment ◽  
Green Areas ◽  
The City

La contaminación auditiva es un fenómeno poco estudiado en la relación ciudad-ambiente. La combinación de ruido constante y permanente, el uso indiscriminado del automóvil y las políticas públicas desintegradas provocan una gestión ambiental incierta y poco clara frente a esta problemática. El modelo de ciudad caminable pretende generar espacios urbanos donde se reduzca el uso del transporte, se enfaticen las bondades de la movilidad a pie y en bicicleta, y se rehabiliten espacios públicos y áreas verdes, mecanismos que podrían reducir la contaminación auditiva y otras afectaciones ambientales.AbstractNoise pollution is a phenomenon insufficiently studied in the city-environment relationship. The combination of constant and permanent noise, indiscriminate use of cars and the poorly integrated public policies, cause an inaccurate and unclear environmental management. The model of a “walkable city” intends to address urban areas where transport use is reduced, the benefits of mobility through walking and cycling are emphasized and the public spaces and green areas are remediated. All those instruments could reduce noise pollution and other environmental effects.

scholarly journals EVALUATION OF DRIVER VISIBILITY FROM MOBILE LIDAR DATA AND WEATHER CONDITIONS

2016 ◽  
Vol XLI-B1 ◽  
pp. 577-582 ◽  
Author(s):  
H. González-Jorge ◽  
L. Díaz-Vilariño ◽  
H. Lorenzo ◽  
P. Arias
Keyword(s):  
Road Safety ◽  
Weather Conditions ◽  
Point Clouds ◽  
Lidar Data ◽  
Climate Information ◽  
Urban Road ◽  
The Road ◽  
Braking Distance ◽  
On The Road ◽  
The City

Visibility of drivers is crucial to ensure road safety. Visibility is influenced by two main factors, the geometry of the road and the weather present therein. The present work depicts an approach for automatic visibility evaluation using mobile LiDAR data and climate information provided from weather stations located in the neighbourhood of the road. The methodology is based on a ray-tracing algorithm to detect occlusions from point clouds with the purpose of identifying the visibility area from each driver position. The resulting data are normalized with the climate information to provide a polyline with an accurate area of visibility. Visibility ranges from 25 m (heavy fog) to more than 10,000 m (clean atmosphere). Values over 250 m are not taken into account for road safety purposes, since this value corresponds to the maximum braking distance of a vehicle. Two case studies are evaluated an urban road in the city of Vigo (Spain) and an inter-urban road between the city of Ourense and the village of Castro Caldelas (Spain). In both cases, data from the Galician Weather Agency (Meteogalicia) are used. The algorithm shows promising results allowing the detection of particularly dangerous areas from the viewpoint of driver visibility. The mountain road between Ourense and Castro Caldelas, with great presence of slopes and sharp curves, shows special interest for this type of application. In this case, poor visibility can especially contribute to the run over of pedestrians or cyclists traveling on the road shoulders.

scholarly journals An Assessment of Noise Levels in Sylhet City Corporation, Bangladesh

2019 ◽  
pp. 1-11
Author(s):  
Md. Sultan Mahmud ◽  
Rony Basak
Keyword(s):  
Land Use ◽  
Noise Level ◽  
Urban Areas ◽  
Noise Pollution ◽  
World Health ◽  
Noise Levels ◽  
Pollution Levels ◽  
Land Use Types ◽  
Health Organization ◽  
The City

Noise pollution is a silent villain as it’s quite easy for being ignored by us. Urban areas are more exposed to this deadly agenda as the density of population and their belongings are excessive in there. This study differentiated noise levels of Sylhet City Corporation, a growing city of Bangladesh into different types according to the land use purpose of the city like residential, silent etc. One hundred and sixty-eight noise level readings, taken at 14 different positions during the morning, afternoon, evening, and night of selective weekdays which are categorized as busy days, typical days and weekends were utilized for this research. Results put the average noise level readings in the city centers at between 45 dB(A) and 95 dB (A), dissented from the permissible limits of the World Health Organization (WHO) as well as national standardization organization: Department of Environment (DOE) in all the land use types, with the highest noise pollution levels recorded for transportation, commercial and silent typed areas. The result of the one-way ANOVA test completed where the dependent variable was noise and the independent variable was land use types uncovers a factually huge mean noise levels over the study area (F (4,115) = 9.52, p = 1.1079). Tukey’s HSD method also carried away which showed the uneven difference of noise levels between the land types. The study represents noise pollution auditing, and the immediate needs to control urban noise pollution with convenient and effective policies some of which is recommended at the end of the study.

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