Evaluation of an urban traffic Noise–Exposed population based on points of interest and noise maps: The case of Guangzhou

Wang, Haibo; Chen, Hanjie; Cai, Ming

doi:10.1016/j.envpol.2017.11.036

Cited by 46 publications

(17 citation statements)

References 20 publications

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“…Urban and transportation development is having a huge effect on the human living environment. As one of the significant parts of traffic pollution, traffic noise has become an issue of concern in urban areas [1,2]. Constant exposure to noise will lead to health effects such as sleep disturbance [3,4,5], annoyance [6,7,8], cardiovascular effects [9], learning impairment [10,11], hypertension ischemic heart disease [12,13] and depressed mood [14].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

Wang

Cai

Cui

2019

IJERPH

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In order to realize the simulation and evaluation of road traffic noise among urban buildings, a spatial subdivision-based beam-tracing method is proposed in this study. First, the road traffic source is divided into sets of point sources and described with the help of vehicle emission model. Next, for each pair of source and receiver, spatial subdivision-based beam-tracing method is used in noise paths generation. At last, noise distribution can be got by noise calculation of all receivers considering the complex transmission among urban buildings. A measurement experiment with a point source is carried out to validate the accuracy of the method; the 0.8 m height and 2.5-m height average errors are about 0.9 dB and 1.2 dB, respectively. Moreover, traffic noise analysis under different building layouts and heights are presented by case applications and conclusions can be reached: (1) Different patterns result in different noise distributions and patterns designed as self-protective can lead to an obvious noise abatement for rear buildings. Noise differences between the front and rear buildings are about 7–12 dB with different patterns. (2) Noise value might not show a linear variation along with the height as shielding of different layers is various in reality.

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Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

Wang

Cai

Cui

2019

IJERPH

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“…Conventional urban studies have only partially approached the question of sound and have excluded several of its sensory components (Agnew, 2011). These studies generally focus on the evaluation of the physical factor, through noise maps that usually identify places exposed to high Sound Pressure Levels (SPLs) to avoid their excessive propagation (Geraghtya & O'Mahony, 2016;Campello, Peral, Campillo & Velasco, 2017;Vasilyev, 2017;Wang, Chen & Cai, 2018;Di et al, 2018). However, reducing these levels does not per se guarantee the improvement of the quality of the urban environment, since the SPLs do not differentiate the different nuances of sound, which, in some cases, can evoke experiences highly accepted by people: improving the people's mood, trigger pleasant memories and encourage relaxation and recovery (Yang & Kang, 2005;Payne, 2013;Cerwén, 2016).…”

Section: Soundscape Research In Citiesmentioning

confidence: 99%

– The European Conference on Arts & Humanities 2020: Official Conference Proceedings

2020

ECAH Official Conference Proceedings

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“…Within the main sources of noise found in cities are railways, airports, industries, and traffic. The latter is considered the source that most affects people, especially in areas with high population density [3]. Similarly, in recent years the local population has become very noise-conscious due to the exponentially growing air traffic [4].…”

Section: Introductionmentioning

confidence: 99%

Noise Impact Assessment Using Corine Land Cover Methodology: A Case Study in Funza, Colombia

Luque-Villa¹,

Acosta-Santos²,

Vargas-Cediel³

et al. 2020

IJSDP

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The spatial distribution of sound pressure levels was analyzed in Funza, Colombia. This survey allowed the identification of several noise sources linked to human activities in the area. To accomplish this, 52 sampling points were distributed all over Funza; measurements were done during day and night time according to environmental regulations. With the sound pressure levels of each point an environmental noise map was generated for both, day and night time. This map was generated with the software ArcGIS 10.5 and compared with regulations. Compliance of environmental noise in Funza was evaluated with a land use cover map; this map was made applying Corine Land Cover methodology adapted to Colombia. Results obtained showed that, during day time 18% of the Funza area complied, while at night time is only 9.6%. The low percentage of compliance is related to high traffic in the main roads that flows to Bogota; in addition to El Dorado airport landing route located South West of Funza.

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Evaluation of an urban traffic Noise–Exposed population based on points of interest and noise maps: The case of Guangzhou

Cited by 46 publications

References 20 publications

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

– The European Conference on Arts & Humanities 2020: Official Conference Proceedings

Noise Impact Assessment Using Corine Land Cover Methodology: A Case Study in Funza, Colombia

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