Evaluating pedestrian exposure to traffic-related airborne particles: Insights for sustainable and healthier urban environments.
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| Title: | Evaluating pedestrian exposure to traffic-related airborne particles: Insights for sustainable and healthier urban environments. |
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| Authors: | Tran, Phuong T.M.1,2 (AUTHOR), Kalairasan, Mano1 (AUTHOR), Beshay, Peter F.R.1 (AUTHOR), Biswal, Basanta Kumar1 (AUTHOR), Nguyen, Teron3 (AUTHOR), Balasubramanian, Rajasekhar1 (AUTHOR) ceerbala@nus.edu.sg |
| Source: | Atmospheric Environment. Aug2025, Vol. 354, pN.PAG-N.PAG. 1p. |
| Subject Terms: | *Air quality monitoring, *Urban planning, *Air pollutants, *Cities & towns, *Urban pollution, *Air pollution, Pedestrians |
| Abstract: | Vehicular traffic is a major source of urban air pollution in Southeast Asia (SEA), posing significant health risks to pedestrians due to exposure to fine particulate matter (PM 2.5), black carbon (BC), and ultrafine particles (UFPs). Despite this issue of health concern, limited data exists linking the spatial and temporal variations of these pollutants and related pedestrian exposure in the region. Due to the unique urban topography, road infrastructure, and meteorological conditions in SEA, high-resolution air quality monitoring studies are essential to better understand pedestrian exposure patterns. This study addresses this knowledge gap by conducting a comprehensive real-time mobile measurement campaign in Singapore as a case study, using portable instruments to assess pedestrian exposure to the traffic-derived air pollutants across diverse urban road categories. We developed three land-use regression (LUR) models to identify the determinants and spatial distributions of PM 2.5 , BC, and UFP concentrations along the pedestrian pathways. Unlike previous stationary or vehicular-based LUR studies, our walking-based approach represents an effective assessment of pedestrian exposure. The results showed mean levels of PM 2.5 , BC and UFPs ranged from 16.4 to 20.0 μg m−3, 2.2–5.8 μg m−3 and 11.3 × 103 to 31.7 × 103 # cm-3, respectively, with BC and UFPs more strongly correlated with vehicular traffic emissions than PM 2.5 , particularly near highways and major arterial roads. Urban greenery, including tree density and park areas, was found to significantly reduce pedestrian exposure. These findings provide insights into the relationship between urban design, traffic patterns, and pedestrian health, offering strategies to mitigate traffic-related air pollution and promote healthier cities in SEA. [Display omitted] • We assessed walking-based exposure to PM 2.5 , BC and UFPs in Southeast Asia. • No significant difference was found among different types of urban roads for PM 2.5 • Higher BC and UFPs on major roads indicate the influence of vehicular emissions. • Land-use regression models identified key factors driving pedestrian exposure variability. [ABSTRACT FROM AUTHOR] |
| Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 185080708 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluating pedestrian exposure to traffic-related airborne particles: Insights for sustainable and healthier urban environments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tran%2C+Phuong+T%2EM%2E%22">Tran, Phuong T.M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kalairasan%2C+Mano%22">Kalairasan, Mano</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beshay%2C+Peter+F%2ER%2E%22">Beshay, Peter F.R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Biswal%2C+Basanta+Kumar%22">Biswal, Basanta Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nguyen%2C+Teron%22">Nguyen, Teron</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Balasubramanian%2C+Rajasekhar%22">Balasubramanian, Rajasekhar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ceerbala@nus.edu.sg</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Aug2025, Vol. 354, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Air+quality+monitoring%22">Air quality monitoring</searchLink><br />*<searchLink fieldCode="DE" term="%22Urban+planning%22">Urban planning</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+pollutants%22">Air pollutants</searchLink><br />*<searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br />*<searchLink fieldCode="DE" term="%22Urban+pollution%22">Urban pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrians%22">Pedestrians</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Vehicular traffic is a major source of urban air pollution in Southeast Asia (SEA), posing significant health risks to pedestrians due to exposure to fine particulate matter (PM 2.5), black carbon (BC), and ultrafine particles (UFPs). Despite this issue of health concern, limited data exists linking the spatial and temporal variations of these pollutants and related pedestrian exposure in the region. Due to the unique urban topography, road infrastructure, and meteorological conditions in SEA, high-resolution air quality monitoring studies are essential to better understand pedestrian exposure patterns. This study addresses this knowledge gap by conducting a comprehensive real-time mobile measurement campaign in Singapore as a case study, using portable instruments to assess pedestrian exposure to the traffic-derived air pollutants across diverse urban road categories. We developed three land-use regression (LUR) models to identify the determinants and spatial distributions of PM 2.5 , BC, and UFP concentrations along the pedestrian pathways. Unlike previous stationary or vehicular-based LUR studies, our walking-based approach represents an effective assessment of pedestrian exposure. The results showed mean levels of PM 2.5 , BC and UFPs ranged from 16.4 to 20.0 μg m−3, 2.2–5.8 μg m−3 and 11.3 × 103 to 31.7 × 103 # cm-3, respectively, with BC and UFPs more strongly correlated with vehicular traffic emissions than PM 2.5 , particularly near highways and major arterial roads. Urban greenery, including tree density and park areas, was found to significantly reduce pedestrian exposure. These findings provide insights into the relationship between urban design, traffic patterns, and pedestrian health, offering strategies to mitigate traffic-related air pollution and promote healthier cities in SEA. [Display omitted] • We assessed walking-based exposure to PM 2.5 , BC and UFPs in Southeast Asia. • No significant difference was found among different types of urban roads for PM 2.5 • Higher BC and UFPs on major roads indicate the influence of vehicular emissions. • Land-use regression models identified key factors driving pedestrian exposure variability. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.atmosenv.2025.121255 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Air quality monitoring Type: general – SubjectFull: Urban planning Type: general – SubjectFull: Air pollutants Type: general – SubjectFull: Cities & towns Type: general – SubjectFull: Urban pollution Type: general – SubjectFull: Air pollution Type: general – SubjectFull: Pedestrians Type: general Titles: – TitleFull: Evaluating pedestrian exposure to traffic-related airborne particles: Insights for sustainable and healthier urban environments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tran, Phuong T.M. – PersonEntity: Name: NameFull: Kalairasan, Mano – PersonEntity: Name: NameFull: Beshay, Peter F.R. – PersonEntity: Name: NameFull: Biswal, Basanta Kumar – PersonEntity: Name: NameFull: Nguyen, Teron – PersonEntity: Name: NameFull: Balasubramanian, Rajasekhar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13522310 Numbering: – Type: volume Value: 354 Titles: – TitleFull: Atmospheric Environment Type: main |
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