scholarly journals A Multilevel Analysis of Perceived Noise Pollution, Geographic Contexts and Mental Health in Beijing

2018 ◽  
Vol 15 (7) ◽  
pp. 1479 ◽  
Author(s):  
Jing Ma ◽  
Chunjiang Li ◽  
Mei-Po Kwan ◽  
Yanwei Chai
Keyword(s):  
Mental Health ◽  
Social Environment ◽  
Road Traffic ◽  
Noise Pollution ◽  
Policy Implications ◽  
Urban Residents ◽  
Road Traffic Noise ◽  
Rapid Urbanization ◽  
Healthy City ◽  
Wide Range

With rapid urbanization and increase in car ownership, ambient noise pollution resulting from diversified sources (e.g., road traffic, railway, commercial services) has become a severe environmental problem in the populated areas in China. However, research on the spatial variation of noise pollution and its potential effects on urban residents’ mental health has to date been quite scarce in developing countries like China. Using a health survey conducted in Beijing in 2017, we for the first time investigated the spatial distributions of multiple noise pollution perceived by residents in Beijing, including road traffic noise, railway (or subway) noise, commercial noise, and housing renovation (or construction) noise. Our results indicate that there is geographic variability in noise pollution at the neighborhood scale, and road traffic and housing renovation/construction are the principal sources of noise pollution in Beijing. We then employed Bayesian multilevel logistic models to examine the associations between diversified noise pollution and urban residents’ mental health symptoms, including anxiety, stress, fatigue, headache, and sleep disturbance, while controlling for a wide range of confounding factors such as socio-demographics, objective built environment characteristics, social environment and geographic context. The results show that perceived higher noise-pollution exposure is significantly associated with worse mental health, while physical environment variables seem to contribute little to variations in self-reported mental disorders, except for proximity to the main road. Social factors or socio-demographic attributes, such as age and income, are significant covariates of urban residents’ mental health, while the social environment (i.e., community attachment) and housing satisfaction are significantly correlated with anxiety and stress. This study provides empirical evidence on the noise-health relationships in the Chinese context and sheds light on the policy implications for environmental pollution mitigation and healthy city development in China.

A Review of Adverse Effects of Road Traffic Noise on Human Health

2018 ◽  
Vol 17 (01) ◽  
pp. 1830001 ◽  
Author(s):  
Devi Singh ◽  
Neeraj Kumari ◽  
Pooja Sharma
Keyword(s):  
Human Health ◽  
Work Performance ◽  
Road Traffic ◽  
Disease Risk ◽  
Traffic Noise ◽  
Cardiovascular Disease Risk ◽  
Noise Pollution ◽  
Health Hazards ◽  
Road Traffic Noise ◽  
Rapid Urbanization

Noise pollution due to road traffic is a potential threat to human health. Since it is a global hazard, the rapid urbanization and exponential traffic growth have aggravated the problem. Population residing along the busy traffic lanes is continuously exposed to the sound levels which are above the permissible limits. This constant exposure to noise pollution is a cause of concern as it leads to several adverse impacts on human health. Traffic noise causes irritation and annoyance, sleep disturbances, cardiovascular disease, risk of stroke, diabetes, hypertension and loss of hearing. It results in decreased work performance. The present review highlights the serious health hazards of road traffic noise (RTN) which needs to be curbed. Preventive measures of noise pollution can help in combating noise-induced health hazards and increased work performance.

The Study of the Beijing Traffic Noise Pollution Control Countermeasures

2014 ◽  
Vol 641-642 ◽  
pp. 853-859
Author(s):  
Wei Wang ◽  
Hui Zhao ◽  
Guan Xing Wang ◽  
Hua Zhen Zhou
Keyword(s):  
Road Traffic ◽  
Control Strategies ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Issues ◽  
Control Measures ◽  
Road Traffic Noise ◽  
Typical Time ◽  
The Status ◽  
And Control

Traffic noise is a major source of noise pollution in the urban environment, including road traffic noise and rail traffic noise, which has become one of the domestic large and medium cities in environmental issues to be solved. This paper analyzes the status of the Beijing traffic noise pollution and control strategies, and a typical apartment block selected as a case, analyzes its noise pollution elements, severity, time distribution, and draws a noise map of the plane area and a dormitory building in the noise conditions typical time. Last we discussed and gave the method based on noise control measures.

scholarly journals Noise Events Monitoring for Urban and Mobility Planning in Andorra la Vella and Escaldes-Engordany

Environments ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 24 ◽  
Author(s):  
Rosa Alsina-Pagès ◽  
Robert Garcia Almazán ◽  
Marc Vilella ◽  
Marc Pons
Keyword(s):  
Urban Areas ◽  
Road Traffic ◽  
Signal To Noise Ratio ◽  
Traffic Noise ◽  
Critical Factor ◽  
Noise Pollution ◽  
Urban Environments ◽  
Road Traffic Noise ◽  
City Life ◽  
The Impact

Noise pollution is a critical factor and it has an important impact on public health, with the relationship between road traffic noise (RTN) and several illnesses in urban areas of particular concern. Andorra is currently developing a national strategy regarding noise pollution in their urban environments. The Ministry of Environment, Agriculture and Sustainability is trying to to identify, monitor, map and model the effects of noise pollution and design mitigation policies to reduce the impact in certain priority areas. This analysis should take into account the existence of different types of anomalous noise events (ANEs) present in the street, e.g., horns, people talking, music, and other events that coexist with RTN, to characterize the soundscape of each of the locations. This paper presents a preliminary analysis considering both the Signal-to-Noise Ratio (SNR) and the duration of the ANEs to evaluate their presence in urban areas in the three different locations in Andorra la Vella and Escaldes-Engordany. The experiments conducted required a 10-h recording campaign distributed in the three locations under study, which was evaluated on two different days, one during the week and the other on the weekend. Afterwards, the data were carefully labeled and the SNR of each event was evaluated to determine the potential impact of the four categories under study: vehicles, works, city life and people.

scholarly journals Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 17 (17) ◽  
pp. 6175
Author(s):  
Janice Hegewald ◽  
Melanie Schubert ◽  
Alice Freiberg ◽  
Karla Romero Starke ◽  
Franziska Augustin ◽  
...  
Keyword(s):  
Mental Health ◽  
Anxiety Disorders ◽  
Road Traffic ◽  
Meta Analysis ◽  
Traffic Noise ◽  
Significant Risk ◽  
Aircraft Noise ◽  
Road Traffic Noise ◽  
Railway Traffic ◽  
Depression Risk

Recent evidence suggests that traffic noise may negatively impact mental health. However, existing systematic reviews provide an incomplete overview of the effects of all traffic noise sources on mental health. We conducted a systematic literature search and summarized the evidence for road, railway, or aircraft noise-related risks of depression, anxiety, cognitive decline, and dementia among adults. We included 31 studies (26 on depression and/or anxiety disorders, 5 on dementia). The meta-analysis of five aircraft noise studies found that depression risk increased significantly by 12% per 10 dB LDEN (Effect Size = 1.12, 95% CI 1.02–1.23). The meta-analyses of road (11 studies) and railway traffic noise (3 studies) indicated 2–3% (not statistically significant) increases in depression risk per 10 dB LDEN. Results for road traffic noise related anxiety were similar. We did not find enough studies to meta-analyze anxiety and railway or aircraft noise, and dementia/ cognitive impairment and any traffic noise. In conclusion, aircraft noise exposure increases the risk for depression. Otherwise, we did not detect statistically significant risk increases due to road and railway traffic noise or for anxiety. More research on the association of cognitive disorders and traffic noise is required. Public policies to reduce environmental traffic noise might not only increase wellness (by reducing noise-induced annoyance), but might contribute to the prevention of depression and anxiety disorders.

Research for Noise Reduction Performance of Rubberized Asphalt Overlay

2015 ◽  
Vol 744-746 ◽  
pp. 1335-1338 ◽  
Author(s):  
Hong Bo Zhang ◽  
Hua Tan
Keyword(s):  
Noise Reduction ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Test Method ◽  
Good Effect ◽  
Road Traffic Noise ◽  
Asphalt Overlay ◽  
Sources Of Pollution ◽  
Reduction Effect

In the environment of noise pollution, the noise of pavement is one of the main sources of pollution. It has serious impact on the natural and social environment and interference with people's learning and work. The research shows that the tire or road noise will be a major part of the traffic noise when the car speed is greater than 30km/h and the truck speed is greater than 50km/h [1]. This paper analyzes the status quo of study of rubber asphalt overlay noise reduction and mechanism. Through effective traffic noise test method, we have analysis the noise reduction effect of rubber asphalt overlay. Results of the study shows that rubber asphalt overlay can well reduce road traffic noise and it has a good effect of improving the comfort of driving.

scholarly journals Road Traffic Noise Pollution a Hazard

1970 ◽  
Vol 42 (4) ◽  
pp. 435-440
Author(s):  
Tayyaba Aftab ◽  
Farzana Bashir ◽  
Tahira Shafiq
Keyword(s):  
Noise Level ◽  
Road Traffic ◽  
Traffic Noise ◽  
Working Hours ◽  
Noise Pollution ◽  
Road Traffic Noise ◽  
Engineering Controls ◽  
Frequent Use ◽  
High Level ◽  
Average Noise Level

A road traffic noise study was conducted in Lahore at 18 busy places of high traffic flow in peak working hours of the day. It has been found that the day time average noise level has crossed the permissible limit of 85dB(A) at 90% busy points in the city. The maximum average noise level recorded in Lahore was 104 dB(A). This high level attributed to vehicular traffic specially auto rickshaw with ineffective silencers (without filters) and frequent use of the pressure horns by buses, wagons and trucks etc. The findings of the survey provide enough baseline data for engineering controls and interim legislation against traffic noise pollution. Key words: Noise pollution, Traffics load , Community health, Lahore city Bangladesh J. Sci. Ind. Res. 42(4), 435-440, 2007

scholarly journals Road Traffic Noise Pollution Analysis for Cernavoda City

2017 ◽  
Vol 252 ◽  
pp. 012057 ◽  
Author(s):  
L. Manea ◽  
A. Manea ◽  
D. Florea ◽  
S. Tarulescu
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Road Traffic Noise

scholarly journals Acoustic Energy Harvesting in Nigeria: Prospects, Technical Problems and Socio-Economic Obstacles

2020 ◽  
pp. 16-33
Author(s):  
Michael U. Onuu
Keyword(s):  
Energy Harvesting ◽  
Road Traffic ◽  
Acoustic Energy ◽  
Road Traffic Noise ◽  
Noise Power ◽  
Noise Levels ◽  
Noise Sources ◽  
Technical Problems ◽  
Wide Range ◽  
Acoustic Energy Harvesting

Aims: To investigate the prospects or potentials of acoustic energy harvesting in Nigeria as well as highlight technical problems and socio-economic obstacles. Study Design: The study re-examined existing data, noise levels and noise power, from road traffic, aircraft, industrial/occupational, outdoor and indoor noise sources. Noise levels and noise power obtained from recent measurements of such noise sources were also examined and analyzed. The data were compared with values from noise sources used for electricity in other countries of the world. Technical problems and socio-economic obstacles have been highlighted. Place and Duration of Study: The study was carried out in Abakaliki, Ebonyi State, Nigeria. The duration was one year: April, 2019 and April, 2020. Methodology: Wide range noise level measurements, analysis and re-examination of existing data on road traffic, aircraft, industrial/occupational, outdoor and indoor noise were conducted, in line with the objectives of the study, in cities, industries as well as homes with different noise features. Measurements were carried out using sound level meter, SLM, (Bruel and Kjaer 2203) with  – octave band filter and SLM, EXTECH 407750 with RS232, sound level recorder (B & K 7005), and noise level (statistical) analyzer (B & K 2121) to obtain noise levels and indices. Also, noise power was subsequently obtained for each of the various noise levels and indices. Results: Maximum noise levels, Lmax.; noise power, Wmax.; octave band pressure levels, BPLs; and other indices for the different noise sources were determined. Lmax. and Wmax for aircraft were as high as 116 dB and 0.4 W, respectively, while those for industry and road traffic ranged from 104.0 dB-131.0 dB and 67.5 dB-85.6 dB corresponding to 0.025 W-12.59 W and 0.0000056 W-0.00036 W, respectively. Spectral power of road traffic noise varied between 5.17 x 10-5 W and 9.69 x 10-3 W. Outdoor and household noise sources had Lmax. of up to 48.5 dB and 88.0 dB, that is, 0.000000071 W and 0.00063 W, for quiet and noisy periods, respectively. It was observed that road traffic noise has the highest potential for acoustic energy harvesting in Nigeria being reasonably steady over time, especially, on intra-city roads. Availability of tricycles/motorcycles in abundance and frequent use of horn by motorists support this assertion. The noise levels and noise power from these sources obtained in this investigation are higher than those that have been used as input to acoustic energy harvesters (AEHs) such as piezoelectric based and triboelectric nanogenerators (TRENGs) to achieve known efficiencies as reported elsewhere. Conclusion: The noise power is such that it could be used in powering microelectronic components, devices and in lighting light emitting diodes (LEDs). Power supply (PS) audio noise harvesters (ANHs) have been identified as potential noise energy sources since there is wide range use of air-conditioned by the political class, elites and government agencies in Nigeria where maximum temperature of 47.2°C is attainable. These findings show the viability of AEH in Nigeria and their addition to the existing body of knowledge in the emerging area of AEH will open a new window of research in AEH in this part of the world. Other prospects of AEH in Nigeria, technical problems and socio-economic obstacles are highlighted.

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