Analysis and Management of Current Road Traffic Noise

被引:0
作者
Guillermo Rey-Gozalo
Juan Miguel Barrigón Morillas
David Montes González
机构
[1] Instituto Universitario de Investigación para el Desarrollo Territorial Sostenible (INTERRA),Laboratorio de Acústica (Lambda), Departamento de Física Aplicada
[2] Universidad de Extremadura,Facultad de Ciencias de la Salud
[3] Avda. de la Universidad,undefined
[4] Universidad Autónoma de Chile,undefined
来源
Current Pollution Reports | 2022年 / 8卷
关键词
Road traffic noise; Road traffic modelling; Noise assessment methodologies; CNOSSOS-EU; Noise action plans;
D O I
暂无
中图分类号
学科分类号
摘要
Road traffic noise is one of the major environmental pollutants in cities around the world that continues to increase over the years despite the implementation of regulatory policies. The lack of engagement of national governments, the use of different or inadequate methodologies and the absence of implementation of measures to control road traffic noise are some of the causes why the population exposed to noise has not been reduced. There are a large number of recommendations, methodologies and procedures for adequate road traffic noise analysis and management in the scientific literature. The aim of this paper is to analyse the main findings of recent years with the objective of highlighting the current acoustic situation and to provide tools that can reverse it. Development of accurate noise analysis methods is close to reality. However, greater engagement and control by the authorities is needed for the implementation and efficiency of noise measures.
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页码:315 / 327
页数:12
相关论文
共 235 条
[31]  
Faulkner J-P(2002)An environmental noise study in the city of Cáceres Spain Appl Acoust 461–462 127-64
[32]  
Murphy E(2013)Urban streets functionality as a tool for urban pollution management Sci Total Environ 124 1279-65
[33]  
Arana M(2017)The LIFE DYNAMAP project: towards a procedure for dynamic noise mapping in urban areas Appl Acoust 14 20-183
[34]  
San Martin R(2021)Traffic noise modelling using land use regression model based on machine learning, statistical regression and GIS Energies 10 89-746
[35]  
Salinas JC(2018)Noise estimation model development using high-resolution transportation and land use regression J Expo Sci Environ Epidemiol 151 59-212
[36]  
Murphy E(2020)Classification of urban road traffic noise based on sound energy and eventfulness indicators Appl Sci 6 58-534
[37]  
Douglas O(2019)Anomalous events removal for automated traffic noise maps generation Appl Acoust 101 177-2429
[38]  
Cai Y(2019)Noise events monitoring for urban and mobility planning in Andorra la Vella and Escaldes-Engordany Environments 166 740-521
[39]  
Zijlema WL(2016)Dynamic noise mapping: a map-based interpolation between noise measurements with high temporal resolution Appl Acoust 144 203-1076
[40]  
Sørgjerd EP(2020)Method for in situ acoustic calibration of smartphone-based sound measurement applications Appl Acoust 148 526-531