2021
DOI: 10.1016/j.buildenv.2021.108149
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Spatiotemporal analysis of pedestrian exposure to submicron and coarse particulate matter on crosswalk at urban intersection

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Cited by 15 publications
(5 citation statements)
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“…A similar trend is present for the period with ATIs. Pedestrians are exposed to varying concentrations of PM throughout the urban environment based on different types of road, traffic volume, time of day, and season [ 55 ], or specific high-exposure events, e.g., queuing by or walking across a crosswalk [ 56 ], which influence their cumulative exposure. As they move slower and cover less distance than cyclists, the variability can be lower, moreover, they are less frequently exposed to direct traffic exhaust than cyclists.…”
Section: Resultsmentioning
confidence: 99%
“…A similar trend is present for the period with ATIs. Pedestrians are exposed to varying concentrations of PM throughout the urban environment based on different types of road, traffic volume, time of day, and season [ 55 ], or specific high-exposure events, e.g., queuing by or walking across a crosswalk [ 56 ], which influence their cumulative exposure. As they move slower and cover less distance than cyclists, the variability can be lower, moreover, they are less frequently exposed to direct traffic exhaust than cyclists.…”
Section: Resultsmentioning
confidence: 99%
“…Our analysis also has several deficiencies, and certain limitations must be noted: (1) During completing this study (October and November 2022), a new COVID-19 outbreak occurred in Lanzhou, but we were prevented from including it in our study period because of the lag in data collection. (2) We estimated the impact of the most common socioeconomic background and epidemic condition factors on air quality for the lockdown; however, the impact of other factors such as urban greening ( Zheng et al, 2021 ), road network ( Wang et al, 2021d ), should not be ignored and deserves further research. (3) This study was based on ground-based observation, and attempts might be made to enrich the data sources in our future studies, Site sampling ( Kalisa and Adams, 2022 ), satellite observation and remote sensing ( Naqvi et al, 2021 ; Srivastava et al, 2021 ), and multi-source fusion data (Mamtimin et al, 2022; Campanelli et al, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“…Simultaneously, the residents' income has continued to grow and the number of vehicles, particularly private cars, has increased rapidly, making the transport sector an increasingly large air pollution source ( Huang et al, 2017 ; Zhao et al, 2018 ; Ye, 2017 ). Moreover, Lanzhou's river-valley topography and low-wind meteorological conditions are unfavorable for pollutant diffusion, causing their easy accumulation in the city sky ( Tang et al, 2022 ; Wang et al, 2021c ; Chen et al, 2020). Nevertheless, the number of days with good air quality has been increasing yearly and reached 85.2% in 2020, an increase of 62 days from 2014, due to the air pollution prevention measures adapted, such as strengthening of motor vehicle exhaust and industrial pollution control ( Lanzhou Ecology and Environment Bureau, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
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“…There is additional exposure in busy drop-off and pick-up zones. Specific studies show that some locations on the route to school can have high concentrations: bus stops [34] and pedestrian crossings [35]. However, travel is not necessarily the dominant contributor to daily exposure [18,36,37].…”
Section: Travel To and From Schoolmentioning
confidence: 99%