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Examining individual-level tri-exposure to greenspace and air/noise pollution using individual-level GPS-based real-time sensing data

Author

Listed:
  • Liu, Dong
  • Kwan, Mei-Po
  • Kan, Zihan
  • Liu, Yang

Abstract

Although exposure to air/noise pollution and greenspace has been found to significantly affect people's physical and mental health outcomes, there is still a lack of knowledge on what built-environment and socioeconomic factors are significantly associated with people's tri-exposure to air/noise pollution and greenspace. This study analyzes the associations between built-environment and socioeconomic factors and the tri-exposure to greenspace and air/noise pollution in Hong Kong.

Suggested Citation

  • Liu, Dong & Kwan, Mei-Po & Kan, Zihan & Liu, Yang, 2023. "Examining individual-level tri-exposure to greenspace and air/noise pollution using individual-level GPS-based real-time sensing data," Social Science & Medicine, Elsevier, vol. 329(C).
    • Handle: RePEc:eee:socmed:v:329:y:2023:i:c:s0277953623003970
    DOI: 10.1016/j.socscimed.2023.116040
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    References listed on IDEAS

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    1. Mei-Po Kwan, 2018. "The Neighborhood Effect Averaging Problem (NEAP): An Elusive Confounder of the Neighborhood Effect," IJERPH, MDPI, vol. 15(9), pages 1-4, August.
    2. Dong Liu & Mei-Po Kwan & Zihan Kan & Jianying Wang, 2022. "Toward a Healthy Urban Living Environment: Assessing 15-Minute Green-Blue Space Accessibility," Sustainability, MDPI, vol. 14(24), pages 1-12, December.
    3. Junghwan Kim & Mei-Po Kwan, 2021. "How Neighborhood Effect Averaging Might Affect Assessment of Individual Exposures to Air Pollution: A Study of Ozone Exposures in Los Angeles," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 111(1), pages 121-140, January.
    Full references (including those not matched with items on IDEAS)

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