Noise exposure of the residential areas close to urban expressways in a high-rise mountainous city

2021 ◽  
pp. 239980832110152
Author(s):  
Heng Li ◽  
Hui Xie
Keyword(s):  
Urban Areas ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Noise Levels ◽  
Night Time ◽  
Acoustic Environment ◽  
High Rise

Urban expressways can generate excessive noise in the surrounding urban areas, and it tends to be more complex in mountainous cities, due to the undulating terrain, dense population and compact urban structures. This article aims to investigate the objective acoustic environment and road traffic noise exposure, including the noisy evaluation, annoyance and effect of roadside apartments in residential areas close to urban expressways in the high-density, high-rise, mountainous city of Chongqing. Three housing estates were selected for a series of field measurements, questionnaire surveys and noise mapping. There was a significant negative correlation between night-time noise levels and the distances to the urban expressway ( p <  0.01). Moreover, the differences between the daytime and night-time noise levels were generally insignificant (0.7 to 3.6 dBA) at the roadside locations. Differences in reaction to noise exposure in a variety of both person-related and housing condition variables were found, especially between roadside and non-roadside locations or residents. In addition, 75.0% of roadside residents identified the traffic noise as ‘very’ or ‘extremely’ annoying, and 66.7% of them regarded the acoustic environment as the priority environmental factor that needs to be improved. Difference in the ‘bedroom-window orientation’ had a significant effect on subjective noise evaluation. Rectangular-shaped apartments along the roadside obtain better noise reduction capacities than tower-blocks through the simulation. The acoustic performance of road cuttings, as an appropriately designed earth embankment, is improved along with deeper vertical alignment, and slope angles of 30° and 75° should be avoided.

Development of Methodological Approaches to Organizing Monitoring of Road Traffic Noise Exposure of the Population

2021 ◽  
pp. 50-55
Author(s):  
VV Smirnov
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Noise Levels ◽  
Modern Cities ◽  
Monitoring And Surveillance ◽  
Exposure Levels

Introduction: Residents of modern cities and settlements are constantly exposed to noise. Excessive noise mainly attributed to road traffic ranks high among the complaints of the general population about living conditions. Careful selection of measuring sites plays an important role in monitoring noise exposure of the population. Current regulations and guidelines set the requirements for measuring and evaluating noise levels in a territory but provide no common approach to determining and selecting priority areas and noise measurement points, to establishing and substantiating appropriate observation periods, and to assessing health risks based on the exposure data. Materials and methods: In situ measurements were taken in residential areas of the historical center (four observation groups with 12 addresses) and new districts of the city (two observation groups with six addresses). Noise levels were measured at three points per address with three 5-minute measurements at a height of 1.5 ± 0.1 m above the ground taken per point. Points with the highest noise exposure levels were selected for organization of acoustic monitoring. Results and discussion: Six major observation groups were formed at 18 urban addresses. The results of measurement showed that statistically significant comparable levels of equivalent and maximum sound were registered in each group based on the same criteria and standard indicators. Grouping of addresses with similar or identical characteristics of observation zones will enable establishing noise exposures without conducting full-scale measurements. Additional observation groups can be formed in the presence of other indicators. Grouping of priority zones by location in observation groups will help register noise levels with minimal effort. Conclusions: Priority zones, points, periods of monitoring and surveillance in observation groups were established and justified. The findings served as the basis for elaboration of method approaches to monitoring and surveillance of road traffic noise exposure. Application of these approaches will contribute to increasing the efficiency of monitoring noise exposures of the population.

Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Herni Halim ◽  
◽  
Nur Fatin Najiyah Hamid ◽  
Mohamad Firdaus Mahamad Yusob ◽  
Nur Atiqah Mohamad Nor ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Noise Levels ◽  
Different Types

Factors Affecting Response to Road Noise

1977 ◽  
Vol 9 (5) ◽  
pp. 585-597 ◽  
Author(s):  
S M Taylor ◽  
F L Hall
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Individual Response ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Factors Affecting ◽  
Planning Decisions ◽  
Impact Reduction ◽  
Noise Impact

Investigation of the factors affecting individual response to noise provides an improved basis for the selection and implementation of noise impact reduction policies. This investigation is necessary because the cause and effect relationship between the level of noise exposure and noise response is confounded by personal and situational variables. Examination of the effects of these variables on response to road traffic noise with the use of data collected at residential sites in Southern Ontario suggests the following points for residential planning decisions. Arguments for taking no action to reduce noise impact are not supported. The sex, age, and socioeconomic compositions of residential areas are not important considerations for implementing measures to reduce noise impact. Life-style characteristics of residents on the other hand do affect response to noise. Methods to reduce noise must be effective indoors and outdoors to have a significant effect on attitudes: air conditioning alone is inadequate. Noise barriers appear to be more effective for improving attitudes than their noise reduction properties would suggest.

scholarly journals The Impact of Thin Asphalt Layers as a Road Traffic Noise Intervention in an Urban Environment

2021 ◽  
Vol 13 (22) ◽  
pp. 12561
Author(s):  
Ablenya Grangeiro de Barros ◽  
Jarl K. Kampen ◽  
Cedric Vuye
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Low Noise ◽  
Urban Environments ◽  
Comfort Level ◽  
Road Traffic Noise ◽  
Acoustic Measurements ◽  
Noise Levels ◽  
The Impact

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.

scholarly journals Analysis of the Acoustic Environment of Typical Residential Areas along a Light Rail Line Based on GIS

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yu Zhao ◽  
Qingwei Yang ◽  
Peiyin Yuan
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Scientific Basis ◽  
Light Rail ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Acoustic Environment ◽  
Rail Line ◽  
The Impact ◽  
Objective Indicators

The acoustic environment of urban residential areas is closely related to road traffic noise. More specifically, the effect of the light rail on the old residential area in Chongqing is potentially profound. Using geographic information system (GIS) to construct a map of the urban light rail’s influence on the acoustic environment of residential areas, the influence of noise can be determined. Very few studies exist on the impact of light rails on the acoustic environment of residential areas, and there is no literature on the impact of light rails on the acoustic environment of residential areas using GIS. In this study, the degree of influence of a light rail on nearby residential areas and the diffusion degree of light rail noise in these areas during various times of the day were analysed by measuring the objective indicators of acoustic landscape elements and evaluating subjective indicators. The layout mode of the residential areas and the light rail were superimposed, and other traffic noise influences were eliminated. This method provides a scientific basis for the planning, design, and reconstruction of residential areas.

scholarly journals MODELLING URBAN NOISE IN CITYGML ADE: CASE OF THE NETHERLANDS

2017 ◽  
Vol IV-4/W5 ◽  
pp. 73-81 ◽  
Author(s):  
K. Kumar ◽  
H. Ledoux ◽  
T. J. F. Commandeur ◽  
J. E. Stoter
Keyword(s):  
Urban Areas ◽  
Input Data ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Motor Vehicles ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Noise Mapping ◽  
Urban Noise

Road traffic and industrial noise has become a major source of discomfort and annoyance among the residents in urban areas. More than 44&amp;thinsp;% of the EU population is regularly exposed to road traffic noise levels over 55 dB, which is currently the maximum accepted value prescribed by the Environmental Noise Directive for road traffic noise. With continuously increasing population and number of motor vehicles and industries, it is very unlikely to hope for noise levels to diminish in the near future. Therefore, it is necessary to monitor urban noise, so as to make mitigation plans and to deal with its adverse effects. The 2002/49/EC Environmental Noise Directive aims to determine the exposure of an individual to environmental noise through noise mapping. One of the most important steps in noise mapping is the creation of input data for simulation. At present, it is done semi-automatically (and sometimes even manually) by different companies in different ways and is very time consuming and can lead to errors in the data. In this paper, we present our approach for automatically creating input data for noise simulations. Secondly, we focus on using 3D city models for presenting the results of simulation for the noise arising from road traffic and industrial activities in urban areas. We implemented a few noise modelling standards for industrial and road traffic noise in CityGML by extending the existing Noise ADE with new objects and attributes. This research is a steping stone in the direction of standardising the input and output data for noise studies and for reconstructing the 3D data accordingly.

Prediction of L10 and Leq Noise Levels Due to Vehicular Traffic in Urban Area Using ANN and Adaptive Neuro-Fuzzy Interface System (ANFIS) Approach

2019 ◽  
Vol 15 (2) ◽  
pp. 92-105
Author(s):  
Vilas K Patil ◽  
P.P. Nagarale
Keyword(s):  
Noise Level ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Vehicular Traffic ◽  
Noise Levels ◽  
Anfis Model ◽  
Neuro Fuzzy ◽  
Interface System

Recently in urban areas, road traffic noise is one of the primary sources of noise pollution. Variation in noise level is impacted by the synthesis of traffic and the percentage of heavy vehicles. Presentation to high noise levels may cause serious impact on the health of an individual or community residing near the roadside. Thus, predicting the vehicular traffic noise level is important. The present study aims at the formulation of regression, an artificial neural network (ANN) and an adaptive neuro-fuzzy interface system (ANFIS) model using the data of observed noise levels, traffic volume, and average speed of vehicles for the prediction of L10 and Leq. Measured noise levels are compared to the noise levels predicted by the experimental model. It is observed that the ANFIS approach is more superior when compared to output given by regression and an ANN model. Also, there exists a positive correlation between measured and predicted noise levels. The proposed ANFIS model can be utilized as a tool for traffic direction and planning of new roads in zones of similar land use pattern.

scholarly journals Evaluation of road traffic noise near tube-shaped bus rapid transit shelters

2021 ◽  
Vol 9 (72) ◽  
Author(s):  
Geanesson Alberto de Oliveira Santos ◽  
Eriberto Oliveira do Nascimento ◽  
Paulo Henrique Trombeta Zannin
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Sound Level ◽  
Urban Traffic ◽  
Bus Rapid Transit ◽  
Road Traffic Noise ◽  
Rapid Transit ◽  
Noise Levels

Noise pollution is generally imperceptible, but it can cause various disorders, including psychological disorders, hearing loss and cardiovascular disease. Curitiba Municipal Law 10.625:2002 establishes upper limits of daytime noise exposure according to zoning areas and land use in the City of Curitiba. The purpose of this study was to evaluate noise immissions of urban traffic in the proximities of Bus Rapid Transit (BRT) shelters in Curitiba, Brazil. Daytime traffic noise levels were measured between 8am and 5pm near the entrance of these bus shelters in July and August 2014. Fifty-four measurement points at parks, residences, stores, schools, universities and hospitals in different zoning groups of the municipality were selected as a function of the type of population. The noise levels were recorded using a class I sound level meter. Brazil has no specific standard or law for traffic noise immissions, so the guidelines of the Brazilian standard ABNT NBR 10151:2000 were used. It was concluded that 74% of the measured noise levels varied from 70 to 76 dB(A). Only point 48, close to the Antônio Meireles Sobrinho BRT Shelter, was considered free of noise pollution. Traffic noise accounts for an overall average of 73 dB(A). A few bus shelters installed on the same street had an absolute average difference of 3 dB(A), while bus shelters located farther away from roads were the least noisy. The lowest average traffic noise levels, i.e., 71 dB(A), were recorded on roads for exclusive use by BRT buses.

Sign in / Sign up

Export Citation Format

Share Document