Toward a better understanding of the impact of mass transit air pollutants on human health

Kim, Ki‐Hyun; Kumar, Pawan; Szulejko, Jan E.; Adelodun, Adedeji A.; Junaid, Muhammad Faisal; Uchimiya, Minori; Chambers, Scott D.

doi:10.1016/j.chemosphere.2017.01.113

Cited by 44 publications

(16 citation statements)

References 38 publications

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“…Vehicle emissions have become the dominant source of air pollutants. Transportation in metropolitan areas was reported to be the most significant source of contamination (Zhang and Batterman, 2013), and motor vehicles accounted for 30–50% of carbonaceous particle emissions (Kim et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have investigated the driving forces of urban traffic. One of the most apparent parts is human mobility, which has been further divided into the social, spatial, and socio-spatial dimensions (Kim et al., 2017). For instance, spatial configurations and arrangements of urban functions are closely related to human mobility in social-spatial dimensions.…”

Section: Introductionmentioning

confidence: 99%

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Urban form, traffic volume, and air quality: A spatiotemporal stratified approach

Tian

Yao

2021

Environment and Planning B: Urban Analytics and City Science

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Understanding the interplay between urban form, traffic volume, and air quality is significant for urban planning and environmental sustainability. However, limited progress has been made in bringing effective urban planning strategies to help control traffic demand and resulting air pollutants. Therefore, this study aims to investigate the interrelation between urban form, traffic volume, and air quality with a spatiotemporal stratified method. The method extracts and preprocesses traffic volume data in spatial (polluted and unpolluted zones) and temporal (periods in holidays and workdays) dimensions. Three decision tree models (random forest, random tree, M5 model tree) and two comparison models (multiple linear regression, artificial neural network) are used to examine the relationships. The final results show that the spatiotemporal stratification approach effectively reveals the interrelations, and the random forest model outperforms the other models. Specifically, highly aggregated roads and industrial areas are more associated with traffic volume in polluted zones. The dominance of waterway and vegetation shows a strong association with traffic volume in unpolluted zones. The degree of association also varies significantly between workdays and holidays. Our spatiotemporal stratified approach reveals heterogeneous relationships between urban form, traffic volume, and air quality and provides insightful references on sustainable urban development.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urban form, traffic volume, and air quality: A spatiotemporal stratified approach

Tian

Yao

2021

Environment and Planning B: Urban Analytics and City Science

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“…Increased use and exploitation of natural resources like coal, petroleum, etc., has led to large amounts of pollutants in the air . Elevated levels of major pollutants like CO 2 , CO, O 3 , NH 3 , SO x , NO x , etc., cause severe threats to human health and the environment, directly or indirectly .…”

Section: Hydrogels For Environmental Applicationsmentioning

confidence: 99%

Hydrogels for Medical and Environmental Applications

2020

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Hydrogels are heavily‐hydrated 3D microliths having loose, porous structures. Unlike organogels, elastomers, and carbohydrates, hydrogels are structures with water as a continuous phase/solvent. Being water‐based, they provide a lot of scope for facile improvizations in their structure and in introducing chemical functionalities. They can house various functional materials in their highly porous networks, making them potential candidates for diverse applications. Various possibilities in using different starting materials for hydrogels are described herein, and it is shown how choosing and optimizing these components that make up the hydrogel can modify their properties. Studying hydrogels and their formulations will enable the understanding of their multifunctional properties. External stimuli‐responsive and functional systems can be designed out of these microliths to suit a wide range of applications like biosensing, cancer therapy, regenerative medicine, drug delivery, environmental parameter sensing, water desalination, heavy‐metal adsorption, and water treatment. Environmental degradation is occurring at an alarming rate, cascading the adverse effects on the environment but also causing detrimental effects in public health. In this review, multiple perspectives from state‐of‐the‐art literature are brought together to examine hydrogels as very powerful, sustainable, cost‐effective, and simple solutions for the betterment of the environment and subsequently, public health.

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“…The 2018 Lancet commission on pollution point out that it correspond to about 16% of all deaths worldwide, where 4.2 million are due to ambient air PM 2.5 (Landrigan et al, 2018). On the other hand, there exists a clear evidence health effects of air pollution such as chronic obstructive pulmonary disease (COPD), lung cancer, cardiovascular disease, according to several studies (Backes et al, 2013;Costa et al, 2017;Gurjar et al, 2010;Ierodiakonou et al, 2016;Kim et al, 2017;Nyhan et al, 2013;Pope et al, 2009;Landrigan et al, 2018), especially, if we consider the latest research associated with prolonged and short-term contamination: "Given that even short-term exposures can elicit biochemical alterations associated with such diseases, occupational exposures in workplaces of generally low air pollution are also of concern. Measures to decrease emissions leading to poor air quality are the obvious first choice to pursue in the effort to protect human health" (Costa et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru

Romero

Díaz

Meldrum

et al. 2020

Heliyon

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A four yearlong air monitoring data (since 2015 to 2018) was collected to assess the impact of meteorological parameters such as temperature, relative humidity, wind speed and wind direction on the spatial and temporal variability of CO (carbon monoxide), NO 2 (nitrogen oxide), O 3 (ozone), SO 2 (sulfur dioxide), PM 10 and PM 2.5 (particulate matter with diameter aerodynamic less than 2.5 μm and 10 μm respectively) in Lima Metropolitan Area (LMA). Data from eight air quality monitoring stations, currently under the supervision of the National Meteorological and Hydrological Service (SENAMHI), was used to capture trafficrelated pollutants concentrations under various local traffic conditions. Effects on meteorological events on seasonal traffic-related pollutants concentration variability were identified. Using average data from the eight stations, it was found that the monthly mean traffic-related pollutants since 2015 to 2018 were higher in spring and winter and lower in autumn and summer. Low-wind speed was associated with events that contribute to elevated seasonal PM 2.5 levels. Correlation coefficients between PM 2.5 concentrations and meteorological variables fluctuated significaly across different seasons. High PM 2.5 concentrations were associated with low relative humidity and high wind conditions in spring. Results suggest that there exist a seasonal variation of PM 2.5 concentration, and set the need of future work on the understanding of the air pollution effects on human health.

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Toward a better understanding of the impact of mass transit air pollutants on human health

Cited by 44 publications

References 38 publications

Urban form, traffic volume, and air quality: A spatiotemporal stratified approach

Urban form, traffic volume, and air quality: A spatiotemporal stratified approach

Hydrogels for Medical and Environmental Applications

Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru

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