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哪些人可能无法避免因日常出行而接触到高水平的居住地污染?基于邻里效应平均问题(NEAP)的空气污染暴露证据。

Who Could Not Avoid Exposure to High Levels of Residence-Based Pollution by Daily Mobility? Evidence of Air Pollution Exposure from the Perspective of the Neighborhood Effect Averaging Problem (NEAP).

机构信息

College of Urban and Environmental Science, Peking University, Beijing 100871, China.

Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.

出版信息

Int J Environ Res Public Health. 2020 Feb 14;17(4):1223. doi: 10.3390/ijerph17041223.

Abstract

It has been widely acknowledged that air pollution has a considerable adverse impact on people's health. Disadvantaged groups such as low-income people are often found to experience greater negative effects of environmental pollution. Thus, improving the accuracy of air pollution exposure assessment might be essential to policy-making. Recently, the neighborhood effect averaging problem (NEAP) has been identified as a specific form of possible bias when assessing individual exposure to air pollution and its health impacts. In this paper, we assessed the real-time air pollution exposure and residential-based exposure of 106 participants in a high-pollution community in Beijing, China. The study found that: (1) there are significant differences between the two assessments; (2) most participants experienced the NEAP and could lower their exposure by their daily mobility; (3) three vulnerable groups with low daily mobility and could not avoid the high pollution in their residential neighborhoods were identified as exceptions to this: low-income people who have low levels of daily mobility and limited travel outside their residential neighborhoods, blue-collar workers who spend long hours at low-end workplaces, and elderly people who face many household constraints. Public policies thus need to focus on the hidden environmental injustice revealed by the NEAP in order to improve the well-being of these environmentally vulnerable groups.

摘要

人们普遍认识到,空气污染对人们的健康有相当大的不利影响。处于不利地位的群体,如低收入人群,往往更容易受到环境污染的负面影响。因此,提高空气污染暴露评估的准确性对于决策可能至关重要。最近,人们发现,在评估个人对空气污染及其健康影响的暴露情况时,邻里效应平均化问题(NEAP)是一种可能存在偏差的特殊形式。在本文中,我们评估了 106 名居住在北京一个高污染社区的参与者的实时空气污染暴露情况和居住环境暴露情况。研究发现:(1)这两种评估方法存在显著差异;(2)大多数参与者经历了 NEAP,他们可以通过日常活动来降低暴露水平;(3)但有三个日常活动水平低且无法避免居住社区内高污染的弱势群体属于例外情况:日常活动水平低、很少到居住社区以外活动的低收入人群;长时间在低端工作场所工作的蓝领工人;以及面临许多家庭限制的老年人。因此,公共政策需要关注 NEAP 所揭示的隐藏的环境不公平现象,以改善这些环境弱势群体的福祉。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dba/7068569/a0eba1504954/ijerph-17-01223-g001.jpg

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