Impact of road traffic noise on annoyance and preventable mortality in European cities: A health impact assessment

Khomenko, Sasha; Cirach, Marta; Barrera-Gómez, Jose; Barboza, Evelise Pereira; Iungman, Tamara; Mueller, Natalie; Foraster, María; Tonne, Cathryn; Thondoo, Meelan; Jephcote, Calvin; Gulliver, John; Woodcock, James; Nieuwenhuijsen, Mark

doi:10.1016/j.envint.2022.107160

Cited by 43 publications

(12 citation statements)

References 28 publications

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“…Recent World Health Organization (WHO) publications emphasize that environmental noise can be viewed as a contaminant that significantly impacts public health [16]. Being subjected to noise levels from traffic that are dangerous to one's health (more than 55 dB) [17]. The European Union recommends a threshold of 55 dB for environmental noise [18].…”

Section: Noise In Urban Streetsmentioning

confidence: 99%

Evaluation of the Selected Sustainable Indicators for Urban Roads Network: Al-Kufa City as a Case Study

Al-shammari,

Al-jameel

2023

IOP Conf. Ser.: Earth Environ. Sci.

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One of the major concerns of the modern world is sustainable development. Sustainable transportation development is crucial in light of the increasing congestion and pollution in urban areas. Al-Kufa City is one of the most significant cities in Iraq. This study focuses on specific criteria such as public transportation, pedestrian facilities, pavement markings, noise level, and population density on the number of existing roads. The collected data showed that the average percentage of public transportation at selected locations is 4% for buses and 24.6% for minibuses with unplanned routes. Furthermore, pavement markings cover only about 0.48% of the whole network. Regarding the noise level, it was high and exceeded the standard limitations, reaches to 93.48 dBA. At the same time, the indicator of pedestrian facilities showed a significant lack of footbridges. Finally, the density of roads per population is 60.32km/100000 which is less than the expected value. Therefore, actions and improvements are necessary for the short and long term to develop a sustainable city living environment.

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Section: Noise In Urban Streetsmentioning

confidence: 99%

Evaluation of the Selected Sustainable Indicators for Urban Roads Network: Al-Kufa City as a Case Study

Al-shammari,

Al-jameel

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…As mentioned, noise maps are a diagnostic tool used to pursue control strategies, inform the public and make stakeholders aware of noise related issues. Therefore, the importance of creating noise maps has been growing over time (Yang et al 2020a;Khomenko et al 2022). In addition, with the growth of cities and consequently the population and the number of vehicles, tra c noise has become a pollutant that must be constantly monitored.…”

Section: Future Perspectives In This Fieldmentioning

confidence: 99%

Use of Noise Prediction Models for Road Noise Mapping in Locations That Do Not Have a Standardized Model: a Systematic Review

Meller

Lourenço

Melo

et al. 2022

Preprint

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Faced with the accelerated growth of cities and the consequent increase in the number of motor vehicles, urban noise levels, caused by vehicular traffic, have increased considerably. In order to assess noise levels in cities and to successfully implement noise control measures or to identify the location of the problem in different urban areas, it is first necessary to obtain information on the noise levels to which people are exposed. Noise maps are tools that have several potential applications as they are cartographic representations of the noise level distribution in area and over a period of time. This article aims to identify, select, evaluate and synthesize information, through a Systematic Literature Review, on the use of different road noise prediction models, in sound mapping computer programs in countries that do not have a standard noise prediction model. From a previous analysis of articles, the choice of topic was based on the identification of a variety of different models for predicting road noise in countries that do not have a standardized model for the use of sound mapping. The papers compiled by SLR showed that studies concentrated in China, Brazil and Ecuador, and that the most used traffic noise prediction models were the RLS-90 and the NMPB, and the most used mapping programs were SoundPLAN and ArcGIS with a grid size of 10 x 10 m. Most measurements were carried out during a 15 min period at a height from ground level of 1.5 m.

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“…10 A more recent study investigating noise exposure in 700 cities in Europe estimated that 42% of the adult urban population are exposed to such harmful levels. 11 Due to this widespread occurrence, noise is the second most important driver of the environmental burden of disease in Europe, behind fine particulate matter (PM) air pollution. In numbers, exposure to transportation noise is estimated to be responsible for 400–1,500 disability adjusted life years lost each year per million people in Western Europe.…”

Section: Introductionmentioning

confidence: 99%

Suicide and Transportation Noise: A Prospective Cohort Study from Switzerland

Wicki

Schäffer

Wunderli

et al. 2023

Environ Health Perspect

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Background: Although plausible from a pathophysiological point of view, robust evidence for effects of transportation noise on mental health remains scarce. Meanwhile, psychiatric diseases are among the most prevalent noncommunicable diseases worldwide, and suicide as a mortality outcome highly connected to mental disorders presents a pressing public health issue. The aim of this study was to investigate the association between source-specific transportation noise, particulate matter (PM) air pollution, residential greenness, and suicide by means of a nationwide cohort study. Methods: Road traffic, railway and aircraft noise exposure as well as exposure to air pollution [PM with aerodynamic diameter ( )] and greenness [normalized difference vegetation index (NDVI)] were linked to 5.1 million adults (age 15 y and older) in the Swiss National Cohort, accounting for their address history. Mean noise exposure in 5-y periods was calculated. Individuals were followed for up to 15 y (2001–2015). Time-varying Cox regression models were applied to deaths by suicide (excluding assisted suicide). Models included all three noise sources, , and NDVI plus individual and spatial covariates, including socioeconomic status. Effect modification by sex, age, socioeconomic indicators, and degree of urbanization was explored. Results: During the follow-up, there were 11,265 suicide deaths (10.4% poisoning, 33.3% hanging, 28.7% firearms, 14.7% falls). Road traffic and railway noise were associated with total suicides [hazard ratios: 1.040; 95% confidence interval (CI): 1.015, 1.065; and 1.022 (95% CI: 1.004, 1.041) per 10 dB day-evening-night level (Lden)], whereas for aircraft noise, a risk increase starting from 50 dB was masked by an inverse association in the very low exposure range (30–40 dB). Associations were stronger for females than males. The results were robust to adjustment for residential greenness and air pollution. Conclusion: In this longitudinal, nationwide cohort study, we report a robust association between exposure to road traffic and railway noise and risk of death by suicide after adjusting for exposure to air pollution and greenness. These findings add to the growing body of evidence that mental health disorders may be related to chronic transportation noise exposure. https://doi.org/10.1289/EHP11587

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Impact of road traffic noise on annoyance and preventable mortality in European cities: A health impact assessment

Cited by 43 publications

References 28 publications

Evaluation of the Selected Sustainable Indicators for Urban Roads Network: Al-Kufa City as a Case Study

Evaluation of the Selected Sustainable Indicators for Urban Roads Network: Al-Kufa City as a Case Study

Use of Noise Prediction Models for Road Noise Mapping in Locations That Do Not Have a Standardized Model: a Systematic Review

Suicide and Transportation Noise: A Prospective Cohort Study from Switzerland

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