scholarly journals Road Traffic Noise Forecast (RTNF) in the Process of Creating Urban Space - Case Study of Poland

2018 ◽  
Vol 151 ◽  
pp. 012020
Author(s):  
K Szopińska
Keyword(s):  
Urban Space ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Space Case

scholarly journals Landscape depressions can create silent zones in noise polluted parks

2021 ◽  
Vol 263 (4) ◽  
pp. 2550-2554
Author(s):  
Timothy Van Renterghem ◽  
Pieter Thomas ◽  
Dick Botteldooren
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Pressure Level ◽  
Road Traffic Noise ◽  
Efficient Measure ◽  
Natural Means

Excessive road traffic noise exposure in (sub)urban parks hinders its restorative function and will negatively impact the number of visitors. Especially in such green environments, noise abatements by natural means, well integrated in the landscape, are the most desired solutions. Although dense vegetation bordering the park or raised berms could come first in mind, local landscape depressions are typically underused. In this work, a case-study of a small suburban park, squeezed in between two major arterial roads, is analyzed. The spatially dependent road traffic noise exposure in the park is assessed in detail by mobile sound pressure level measurements. Local reductions of up to 6-7 dBA are found at landscape depressions of only a few meters deep. It can therefore be concluded that this is an efficient measure and should be added to the environmental noise control toolbox for noise polluted parks.

Creation of Theoretical Road Traffic Noise Model with the Help of GIS

2017 ◽  
Author(s):  
Kinga Szopinska
Keyword(s):  
Urban Space ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Model ◽  
Road Traffic Noise ◽  
The European Union ◽  
Noise Emission ◽  
Starting Point ◽  
Information Layer ◽  
Gis Data

Road traffic noise, as a form of environmental pollution, is an important element causing discomfort among inhabitants and leading to the emergence of noise nuisance influencing the shaping of urban space. The basic tool in combating noise is a Strategic Noise Map (SNM), which, understood as a system, constitutes an element of a city’s information layer. The system, illustrating the noise situation within a city, is prepared by means of a calculationmeasurement method using specialized computer programs. The assessment of road traffic noise begins by defining the amount of noise emissions coming from acoustically-homogenous sections (emission map), and ends with determining the extent of noise propagation in urban space (immission map). The above process is based on the analysis of actual input data describing, in a detailed manner, the analyzed road infrastructure in terms of the characteristics of the road section, information on the volume and type of traffic, and data on the organization of traffic. Under such extensive analysis of the condition of the environment, it is appropriate to apply GIS data as a methodological basis for creating SNMs. GIS data make it possible to unify the rules for collecting and archiving values characterizing the condition of the environment, as well as parameters influencing the level of noise. The aim of work is create a theoretical road traffic noise model with the help of GIS. The scope of information in attribute tables of acoustically-homogenous road sections comprising a GIS thematic layer was described in detail. The above information are the basis for generating digital road traffic noise emission maps as well as being the starting point for assessing road traffic noise in the area of a city in the form of immission maps. The article additionally analyzes the results of data derived from the first phase of noise mapping in Europe, as well as familiarizing the reader with the procedure of modelling road traffic noise emission in accordance with the CNOSSOS-EU which will become binding as of 31 December 2018 throughout the European Union, and which was introduced by the provisions of the new noise directive – Directive 2015/996 of 19 May 2015.

A method of assessing measures to reduce road traffic noise: A case study in Santiago, Chile

2013 ◽  
Vol 74 (12) ◽  
pp. 1486-1491 ◽  
Author(s):  
Alejandro Dintrans ◽  
Margarita Préndez
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise

Contingent valuation of road traffic noise: A case study in the urban area of Quito, Ecuador

2017 ◽  
Vol 5 (4) ◽  
pp. 722-730 ◽  
Author(s):  
Luis Bravo-Moncayo ◽  
Ignacio Pavón-García ◽  
José Lucio-Naranjo ◽  
Roberto Mosquera
Keyword(s):  
Contingent Valuation ◽  
Urban Area ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise

scholarly journals Road Traffic Noise Modeling. Case Study: Vaslui Town, North-Eastern Romania.

2019 ◽  
Author(s):  
Ionuț ȘOREA ◽  
◽  
Cristian Constantin STOLERIU ◽  
Adrian URSU ◽  
◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Modeling ◽  
North Eastern

scholarly journals The Impact of Road Traffic Noise on Housing Prices – Case Study in Poland

2020 ◽  
Vol 28 (2) ◽  
pp. 21-36
Author(s):  
Kinga Szopińska ◽  
Małgorzata Krajewska ◽  
Janusz Kwiecień
Keyword(s):  
Real Estate ◽  
Road Traffic ◽  
Traffic Noise ◽  
Housing Prices ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
High Traffic Volume ◽  
The Impact ◽  
Source Of Information

AbstractNoise as a form of environmental pollution negatively affects the attractiveness of residential areas. Its adverse effect is particularly noticeable in the vicinity of roads with high traffic volume. Along with the dynamic development of roads, the problem of the impact of traffic noise on the prices of residential real estate is now common. The purpose of this article was to determine the impact of road traffic noise from a busy route on residential property prices using strategic noise map (SNM) resources as a source of information on real estate. Housing estate was identified in the area of the Polish city of Bydgoszcz. Assuming that the prices of real estate reflect its characteristics, the article attempts to verify the following hypothesis: for residential premises located at Kujawska St., noise is a feature that reduces their price. SNM resources, statistical analyses and econometric modelling were used in the research. The studies show that housing prices vary with acoustic zones, but differences in prices in the areas surveyed are not statistically significant. In addition, the undertaken research has shown that SNM resources can be a source of information on real estate, especially in the context of environmental factors.

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