The cumulative effect of nuisances from road transportation in residential sectors on the Island of Montreal – Identification of the most exposed groups and areas

Carrier, Mathieu; Apparicio, Philippe; Séguin, Anne‐Marie; Crouse, Dan L.

doi:10.1016/j.trd.2016.03.005

Cited by 11 publications

(4 citation statements)

References 93 publications

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“…Finally, while the simultaneous analysis of exposure to air pollution and noise with the same methodology is a strength of our analysis, the two environmental indicators were still modeled separately. There exist several interesting attempts that assessed the cumulative effect of air pollution and noise (Carrier, Apparicio, Séguin, & Crouse, 2016), examined the trade-off between accessibility and (traffic-related) air pollution (da Schio, Boussauw, & Sansen, 2018) or combined a range of nuisances and urban amenities in one environmental equity indicator (Carrier et al, 2016, Pearce et al, 2010). In this vein, the data in our analysis could form the basis for a wider environmental equity analysis for Ghent.…”

Section: Discussionmentioning

confidence: 99%

Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium

Verbeek¹

2019

SSM - Population Health

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Following the growing empirical evidence on the health effects of air pollution and noise, the fair distribution of these impacts receives increasing attention. The existing environmental inequality studies often focus on a single environmental impact, apply a limited range of covariates or do not correct for spatial autocorrelation. This article presents a geospatial data analysis on Ghent (Belgium), combining residential exposure to air pollution and noise with socioeconomic variables and housing variables. The global results show that neighborhoods with lower household incomes, more unemployment, more people of foreign origin, more rental houses, and higher residential mobility, are more exposed to air pollution, but not to noise. Multiple regression models to explain exposure to air pollution show that residential mobility and percentage of rental houses are the strongest predictors, stressing the role of the housing market in explaining which people are most at risk. Applying spatial regression models leads to better models but reduces the importance of all covariates, leaving income and residential mobility as the only significant predictors for air pollution exposure. While traditional multiple regression models were not significant for explaining noise exposure, spatial regression models were, and also indicate the significant contribution of income to the model. This means income is a robust predictor for both air pollution and noise exposure across the whole urban territory. The results provide a good starting point for discussions about environmental justice and the need for policy action. The study also underlines the importance of taking spatial autocorrelation into account when analyzing environmental inequality.

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Section: Discussionmentioning

confidence: 99%

Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium

Verbeek¹

2019

SSM - Population Health

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“…Road traffic [15][16][17] is often the main source of air pollution in urban areas, so it is increasingly necessary to accurately estimate its contribution to urban air pollution. Therefore, many institutions have developed emission models and systems to predict the contribution of road transport to air pollution.…”

Section: Intelligent Transportation Systems and Traffic Pollutionmentioning

confidence: 99%

IoT based monitoring of air quality and traffic using regression analysis

Martín-Baos

Rodríguez-Benítez

García-Ródenas

et al. 2022

Applied Soft Computing

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“…This research has shown an inverse relationship between the level of noise pollution and the distance of the bikeway from the road edge. Moreover, in another research study conducted by Carrier et al ( 2016 ), air pollutions (especially NO 2 ) and noise pollution on the residents of the city of Montreal were evaluated. This study showed that 460 blocks of the studied areas had poor conditions and the people aged 65 years and over were the group most significantly affected.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of traffic noise pollution using geographic information system and descriptive statistical method: a case study in Mashhad, Iran

Gheibi

Karrabi

Latifi

et al. 2022

Environ Sci Pollut Res

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Environmental consequences and the epidemiologic results of noise pollution have chronic effects leading to widespread complications in the long run. As far as we know, there are a few studies for pollution monitoring and control systems in comparison with other environmental pollutants. One of the largest metropolitan cities located in Iran is Mashhad city as known as one of the biggest religious cities in the world. Different properties of this city including historical, industrial, and religious draw thousands of visitors to Mashhad, yearly. This fact motivates us to contribute to the concept of noise pollution in streets and sidewalks around the Holy Shrine, namely, Imam Reza. In this regard, different measurements using geographic information system (GIS) and descriptive statistical methods were conducted for our case study in Mashhad, Iran. All measurements and records were done during the peak of morning crowd (10–12 AM) and evening crowd (4–6 PM) on both sidewalks of each street around the Holy Shrine. This study showed that the pollution in the evening time span (4–6 PM) has the maximum level of noise. Among all streets in our case study in Mashhad, Iran, Tabarsi street has the most amount of noise pollution with a mean of 78 dB(A) for the mean intensity for each point, and Imam Reza street has the minimum amount of pollution with a mean of 72.75 dB(A). Our findings from the temporal perspective analysis confirm that the noise pollution peaks in the evening, when weather conditions are favorable. From the spatial perspective analysis, the most intensive noise pollution was observed around residential and accommodation land uses, which have the highest number of arterial routes towards the Holy Shrine.

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The cumulative effect of nuisances from road transportation in residential sectors on the Island of Montreal – Identification of the most exposed groups and areas

Abstract: The cumulative effect of nuisances from road transportation in residential sectors on the Island of Montreal-Identification of the most exposed groups and areas.

Cited by 11 publications

References 93 publications

Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium

Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium

IoT based monitoring of air quality and traffic using regression analysis

Evaluation of traffic noise pollution using geographic information system and descriptive statistical method: a case study in Mashhad, Iran

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