IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p5872-d813690.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/5872/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/10/5872/
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chunrong Jia & Wesley James & Satish Kedia, 2014. "Relationship of Racial Composition and Cancer Risks from Air Toxics Exposure in Memphis, Tennessee, U.S.A," IJERPH, MDPI, vol. 11(8), pages 1-12, July.
    2. Ander Wilson & Jessica Tryner & Christian L'Orange & John Volckens, 2020. "Bayesian nonparametric monotone regression," Environmetrics, John Wiley & Sons, Ltd., vol. 31(8), December.
    3. Whitney E. Zahnd & Cathryn Murphy & Marie Knoll & Gabriel A. Benavidez & Kelsey R. Day & Radhika Ranganathan & Parthenia Luke & Anja Zgodic & Kewei Shi & Melinda A. Merrell & Elizabeth L. Crouch & Hea, 2021. "The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States," IJERPH, MDPI, vol. 18(4), pages 1-26, February.
    4. Eun-hye Yoo & Qiang Pu & Youngseob Eum & Xiangyu Jiang, 2021. "The Impact of Individual Mobility on Long-Term Exposure to Ambient PM 2.5 : Assessing Effect Modification by Travel Patterns and Spatial Variability of PM 2.5," IJERPH, MDPI, vol. 18(4), pages 1-16, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5872-:d:813690. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.