@misc{12830,
  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 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.}},
  author       = {{Cardinali, Marcel and Beenackers, Mariëlle A. and Timmeren, Arjan van and Pottgiesser, Uta}},
  booktitle    = {{  Health & place : an international journal ; a social science & medicine publication}},
  issn         = {{1873-2054}},
  keywords     = {{Greenspace, Mitigation, Air quality, Public health, Structural equation modelling}},
  publisher    = {{Elsevier BV}},
  title        = {{{Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities}}},
  doi          = {{10.1016/j.healthplace.2024.103300}},
  volume       = {{89}},
  year         = {{2024}},
}