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Mobility-based environmental justice: Understanding housing disparity in real-time exposure to air pollution and momentary psychological stress in Beijing, China

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  • Tao, Yinhua
  • Chai, Yanwei
  • Zhang, Xue
  • Yang, Jie
  • Kwan, Mei-Po

Abstract

Environmental justice is a crucial environmental and social problem. Previous research in the cities of developed countries has found that ethnic minorities and low-income people were disproportionately exposed to the residential environment with more serious environmental risks. This study proposed a transition from the residence-based perspective to a mobility-based and context-aware approach to reinterpret environmental justice with a focus on the air pollution issue in urban China. A novel research protocol combining geographic ecological momentary assessment and portable air pollutant sensors was developed to collect and analyze real-time data of air pollution exposure and psychological stress for residents living in the same residential neighborhood of Beijing, China. The results show that residents of different types of housing were exposed to varying PM2.5 concentrations although they experienced similar levels of air pollution in their residential neighborhoods. Residents of public low-rent housing were the disadvantaged group because of their limited mobility, exposure to serious air pollution at home, and insensitive stress responses to air pollution. These findings not only uncover the mobility-based environmental justice issue in the context of government-led and egalitarianism-pursuing urban China, but also provide references for the residential mix policy on how to narrow the disparity in environmental pollution exposure from the perspective of human mobility.

Suggested Citation

  • Tao, Yinhua & Chai, Yanwei & Zhang, Xue & Yang, Jie & Kwan, Mei-Po, 2021. "Mobility-based environmental justice: Understanding housing disparity in real-time exposure to air pollution and momentary psychological stress in Beijing, China," Social Science & Medicine, Elsevier, vol. 287(C).
  • Handle: RePEc:eee:socmed:v:287:y:2021:i:c:s0277953621007048
    DOI: 10.1016/j.socscimed.2021.114372
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    References listed on IDEAS

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    1. Jing Ma & Gordon Mitchell & Guanpeng Dong & Wenzhong Zhang, 2017. "Inequality in Beijing: A Spatial Multilevel Analysis of Perceived Environmental Hazard and Self-Rated Health," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(1), pages 109-129, January.
    2. Jing Ma & Yinhua Tao & Mei-Po Kwan & Yanwei Chai, 2020. "Assessing Mobility-Based Real-Time Air Pollution Exposure in Space and Time Using Smart Sensors and GPS Trajectories in Beijing," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 110(2), pages 434-448, March.
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    5. Pearce, Jamie R. & Richardson, Elizabeth A. & Mitchell, Richard J. & Shortt, Niamh K., 2011. "Environmental justice and health: A study of multiple environmental deprivation and geographical inequalities in health in New Zealand," Social Science & Medicine, Elsevier, vol. 73(3), pages 410-420, August.
    6. Romero-Lankao, Patricia & Qin, Hua & Borbor-Cordova, Mercy, 2013. "Exploration of health risks related to air pollution and temperature in three Latin American cities," Social Science & Medicine, Elsevier, vol. 83(C), pages 110-118.
    7. Mei-Po Kwan, 2018. "The Limits of the Neighborhood Effect: Contextual Uncertainties in Geographic, Environmental Health, and Social Science Research," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(6), pages 1482-1490, November.
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    Cited by:

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    2. Balasooriya, Namal N. & Bandara, Jayatilleke S. & Rohde, Nicholas, 2022. "Air pollution and health outcomes: Evidence from Black Saturday Bushfires in Australia," Social Science & Medicine, Elsevier, vol. 306(C).

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