Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities

IF 3.8 2区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Health & Place Pub Date : 2024-06-25 DOI:10.1016/j.healthplace.2024.103300

Marcel Cardinali , Mariëlle A. Beenackers , Arjan van Timmeren , Uta Pottgiesser

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Abstract

Exploring the influence of green space characteristics and proximity on health via air pollution mitigation, our study analysed data from 1,365 participants across Porto, Nantes, Sofia, and Høje-Taastrup. Utilizing OpenStreetMap and the AID-PRIGSHARE tool, we generated nine green space indicators around residential addresses at 15 distances, ranging from 100m to 1500m. We performed a mediation analysis for these 135 green space variables and revealed significant associations between self-rated air pollution and self-rated health for specific green space characteristics. In our study, indirect positive effects on health via air pollution were mainly associated with green corridors in intermediate Euclidean distances (800-1,000m) and the amount of accessible green spaces in larger network distances (1,400–1,500m). Our results suggest that the amount of connected green spaces measured in intermediate surroundings seems to be a prime green space characteristic that could drive the air pollution mitigation pathway to health.

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城市绿地、自评空气污染与健康：对四个欧洲城市的绿地特征和邻近性的敏感性分析。

我们的研究分析了波尔图、南特、索菲亚和霍耶-塔斯特鲁普的 1365 名参与者的数据，探讨了绿地特征和邻近性通过减轻空气污染对健康的影响。利用 OpenStreetMap 和 AID-PRIGSHARE 工具，我们生成了住宅地址周围 15 个距离（从 100 米到 1500 米）的九个绿地指标。我们对这 135 个绿地变量进行了中介分析，结果显示，针对特定绿地特征，空气污染自评量与健康自评量之间存在显著关联。在我们的研究中，空气污染对健康的间接积极影响主要与中等欧氏距离（800-1000 米）的绿色走廊和较大网络距离（1400-1500 米）的可进入绿地数量有关。我们的研究结果表明，在中间环境中测量的连通绿地数量似乎是绿地的一个主要特征，可以推动空气污染对健康的缓解途径。

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