TY - JOUR
T1 - Urban green spaces, self-rated air pollution and health
T2 - A sensitivity analysis of green space characteristics and proximity in four European cities
AU - Cardinali, Marcel
AU - Beenackers, Mariëlle A.
AU - van Timmeren, Arjan
AU - Pottgiesser, Uta
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Air quality
KW - Greenspace
KW - Mitigation
KW - Public health
KW - Structural equation modelling
UR - http://www.scopus.com/inward/record.url?scp=85196736311&partnerID=8YFLogxK
U2 - 10.1016/j.healthplace.2024.103300
DO - 10.1016/j.healthplace.2024.103300
M3 - Article
AN - SCOPUS:85196736311
SN - 1353-8292
VL - 89
JO - Health and Place
JF - Health and Place
M1 - 103300
ER -