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协调公众和政府对空气污染暴露的反应:一个多源数据融合方法

Yifu Ou¹, Ke Chen², Ling Ma³

¹Department of Urban Planning and Design, The University of Hong Kong, Pokfulam, Hong Kong.

Journal of environmental management

|October 24, 2024

概括

公众对空气质量变化的关注,以颗粒物 (PM2.5) 来衡量,比政府的关注更显著. 这凸显了需要改进的环境政策,更好地与公众对清洁空气的需求保持一致.

科学领域:

环境科学环境科学
公共政策公共政策
数据科学数据科学数据科学

背景情况:

有效的空气污染控制需要将公众需求与政府清洁空气供应保持一致.
经验分析比较公众和政府对空气质量变化关注的情况,受数据和方法限制限制.

研究的目的:

评估空气污染暴露对公众和政府注意力的影响,使用多源数据融合.
量化颗粒物 (PM2.5) 水平与中国城市公众和政府的关注之间的关系.

主要方法:

利用遥感,社会传感和文本数据分析量化中国273个城市 (2011-2019) 的空气污染和注意力水平.
采用两阶段最小平方回归模型来解决暴露-反应关系中的反向因果关系.

主要成果:

单元增加的PM2.5水平与公众关注率上升17.7%,政府关注率上升12.7%.
与更一致的政府关注相比,公众的关注显示出更大的灵敏度和时空变异性.
确定了116个城市,公众与政府对空气质量变化的反应存在差异.

结论:

公众对空气质量变化的关注比政府的关注更为敏感,这表明需求驱动的反应.
调查结果强调了公众参与环境治理的重要性,并建议改进政策,以改善居民服务.
该研究为中国的空气污染控制战略提供了关键的见解,强调需要弥合注意力差距.

关键词:

暴露于空气污染的影响.环境治理环境治理遥感数据数据遥感数据社会传感数据的数据.两个阶段最小平方模型模型.

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