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城市空间环境对COVID-19的影响:北京的一个案例研究

Zhen Yang¹, Jiaxuan Li¹, Yu Li¹

¹School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing, China.

Frontiers in public health

|January 23, 2024

概括

城市空间环境显著影响COVID-19爆发频率. 更密集的区域和更多的设施与更高的频率相关,而绿色空间显示出负相关性,突出了公平城市规划的需要.

科学领域:

城市规划城市规划
公共卫生公共卫生
流行病学流行病学

背景情况:

流行病对城市地区构成重大挑战,需要对疾病爆发驱动因素有更深入的了解.
城市的空间环境是影响COVID-19等传染病传播和频率的关键因素.

研究的目的:

调查COVID-19爆发频率与北京城市空间环境元素之间的相关性.
分析不同社区等级 (低端,中端) 如何受到有关流行病频率的内部空间因素的影响.
为改善公共卫生应急响应提供城市规划策略的信息.

主要方法:

对COVID-19爆发地点和发病时间的空间分布分析.
地理加权回归模型用于评估外部空间环境因素.
聚类分析来分类社区等级.
双项逻辑回归用于检查不同社区等级内的内部空间环境因素.

主要成果:

在COVID-19爆发频率和建筑密度,体积比率,商业,服务和运输设施密度之间发现了积极的相关性.
在疫情爆发频率和水体和绿地覆盖面之间观察到负相关性.
内部空间因素显示出各种相关性:低端社区的房屋价格和家庭数量以及中端社区的家庭数量与疫情发生频率有积极联系.

结论:

城市外部空间元素显著影响COVID-19爆发频率,建筑环境密度发挥着关键作用.
内部空间特征和社会经济因素对社区类型的流行病频率有不同的影响.
解决收入不平等和居住区分是实现空间正义和公平分配城市环境资源的关键.

关键词:

在 COVID-19 疫情中,二项式逻辑回归二项式逻辑回归这是一种流行病流行病.地理加权回归研究城市空间环境城市空间环境

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