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Exposures to Air Pollution and Noise from Multi-Modal Commuting in a Chinese City

Author

Listed:
  • Yisi Liu

    (Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA)

  • Bowen Lan

    (Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Avenue West, Montreal, QC H3A 1A2, Canada)

  • Jeff Shirai

    (Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA)

  • Elena Austin

    (Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA)

  • Changhong Yang

    (Institute for Public Health and Information, Sichuan Center for Diseases Control and prevention, #6 Zhongxue Road, Chengdu 610041, China)

  • Edmund Seto

    (Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA)

Abstract

Background: Modern urban travel includes mixtures of transit options, which potentially impact individual pollution exposures and health. This study aims to investigate variations in traffic-related air pollution and noise levels experienced in traffic in Chengdu, China. Methods: Real-time PM 2.5 , black carbon (BC), and noise levels were measured for four transportation modes (car, bus, subway, and shared bike) on scripted routes in three types of neighborhoods (urban core, developing neighborhood, and suburb). Each mode of transportation in each neighborhood was sampled five times in summer and winter, respectively. After quality control, mixed effect models were built for the three pollutants separately. Results: Air pollutants had much higher concentrations in winter. Urban Core had the highest PM 2.5 and BC concentrations across seasons compared to the other neighborhoods. The mixed effect model indicated that car commutes were associated with lower PM 2.5 (−34.4 μg/m 3 ; 95% CI: −47.5, −21.3), BC (−2016.4 ng/m 3 ; 95% CI: −3383.8, −648.6), and noise (−9.3 dBA; 95% CI: −10.5, −8.0) levels compared with other modes; subway commutes had lower PM 2.5 (−11.9 μg/m 3 ; 95% CI: 47.5, −21.3), but higher BC (2349.6 ng/m 3 ; 95% CI: 978.1, 3722.1) and noise (3.0 dBA; 95% CI: 1.7, 4.3) levels than the other three modes of transportation. Conclusion: Personal exposure to air pollution and noise vary by season, neighborhood, and transportation modes. Exposure models accounting for environmental, meteorological, and behavioral factors, and duration of mixed mode commuting may be useful for health studies of urban traffic microenvironments.

Suggested Citation

  • Yisi Liu & Bowen Lan & Jeff Shirai & Elena Austin & Changhong Yang & Edmund Seto, 2019. "Exposures to Air Pollution and Noise from Multi-Modal Commuting in a Chinese City," IJERPH, MDPI, vol. 16(14), pages 1-16, July.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:14:p:2539-:d:248910
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    References listed on IDEAS

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    Cited by:

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    2. Hyungkyoo Kim, 2020. "Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    3. Bukola G. Olutola & Paulina Phoobane, 2023. "A Bibliometric Analysis of Literature on Prenatal Exposure to Air Pollution: 1994–2022," IJERPH, MDPI, vol. 20(4), pages 1-14, February.
    4. Jinyi Xiao & Hongyu Liu & Jing Wu, 2022. "The Status Quos and Causes of Concentrated Elderly Populations in Old Urban Communities in China," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    5. Yueming Wen & Jiawei Leng & Xiaobing Shen & Gang Han & Lijun Sun & Fei Yu, 2020. "Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review," IJERPH, MDPI, vol. 17(3), pages 1-37, February.

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