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Spatio-Temporal Variation-Induced Group Disparity of Intra-Urban NO 2 Exposure

Author

Listed:
  • Huizi Wang

    (Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Xiao Luo

    (Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Chao Liu

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
    Shanghai Tongji Urban Planning and Design Institute Co., Ltd., Shanghai 200092, China)

  • Qingyan Fu

    (Shanghai Environmental Monitoring Center, Shanghai 200235, China)

  • Min Yi

    (Shanghai Environmental Monitoring Center, Shanghai 200235, China)

Abstract

Previous studies on exposure disparity have focused more on spatial variation but ignored the temporal variation of air pollution; thus, it is necessary to explore group disparity in terms of spatio-temporal variation to assist policy-making regarding public health. This study employed the dynamic land use regression (LUR) model and mobile phone signal data to illustrate the variation features of group disparity in Shanghai. The results showed that NO 2 exposure followed a bimodal, diurnal variation pattern and remained at a high level on weekdays but decreased on weekends. The most critical at-risk areas were within the central city in areas with a high population density. Moreover, women and the elderly proved to be more exposed to NO 2 pollution in Shanghai. Furthermore, the results of this study showed that it is vital to focus on land-use planning, transportation improvement programs, and population agglomeration to attenuate exposure inequality.

Suggested Citation

  • Huizi Wang & Xiao Luo & Chao Liu & Qingyan Fu & Min Yi, 2022. "Spatio-Temporal Variation-Induced Group Disparity of Intra-Urban NO 2 Exposure," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5872-:d:813690
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    References listed on IDEAS

    as
    1. Houston, Douglas & Ong, Paul & Jaimes, Guillermo & Winer, Arthur, 2011. "Traffic exposure near the Los Angeles-Long Beach port complex: using GPS-enhanced tracking to assess the implications of unreported travel and locations," University of California Transportation Center, Working Papers qt17w613sw, University of California Transportation Center.
    2. Houston, Douglas & Ong, Paul & Jaimes, Guillermo & Winer, Arthur, 2011. "Traffic exposure near the Los Angeles–Long Beach port complex: using GPS-enhanced tracking to assess the implications of unreported travel and locations," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1399-1409.
    3. Francesco Finazzi & Lucia Paci, 2019. "Quantifying personal exposure to air pollution from smartphone‐based location data," Biometrics, The International Biometric Society, vol. 75(4), pages 1356-1366, December.
    4. Wesley James & Chunrong Jia & Satish Kedia, 2012. "Uneven Magnitude of Disparities in Cancer Risks from Air Toxics," IJERPH, MDPI, vol. 9(12), pages 1-21, December.
    Full references (including those not matched with items on IDEAS)

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