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

被引:2
作者
Cardinali, Marcel [1 ,2 ]
Beenackers, Marielle A. [3 ]
van Timmeren, Arjan [1 ]
Pottgiesser, Uta [1 ,2 ]
机构
[1] Delft Univ Technol, Fac Architecture & Built Environm, POB 5043, NL-2600GA Delft, Netherlands
[2] OWL Univ Appl Sci & Arts, Inst Design Strategies, D-32756 Detmold, Germany
[3] Univ Med Ctr Rotterdam, Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
基金
欧盟地平线“2020”;
关键词
Greenspace; Mitigation; Air quality; Public health; Structural equation modelling; LAND-SURFACE TEMPERATURE; USE REGRESSION-MODELS; SURROUNDING GREENNESS; PREGNANCY OUTCOMES; NITROGEN-DIOXIDE; GLOBAL BURDEN; MENTAL-HEALTH; FOLLOW-UP; QUALITY; ASSOCIATIONS;
D O I
10.1016/j.healthplace.2024.103300
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 H & oslash;je-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.
引用
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页数:14
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