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Marie L Bergmann

Biographic Data

ID9446733
NAMEMarie L Bergmann
GIVEN NAMESMarie L
FAMILY NAMEBergmann
SIGNATUREBERGMANN M L
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Can green cycling paths reduce commuter exposure to ultrafine particles? A repeated measures study in Copenhagen, Denmark

    Open Access•Gonzalo B Hevia-Ramos, George Napolitano et al.•ARTICLE•Sustainable Cities and Society•2026

    Background In urban environments, road traffic is the primary source of ultrafine particle (UFP) exposure. Cycling along green paths, away from traffic, may reduce commute-related air pollution exposure. This study quantifies commuter exposure to UFP in urban environments and the potential reduction when cycling on green paths. Methods Over six weeks (February-March 2024), 40 cycling trips were performed on a fixed 8.3 km route (∼35 minutes) in C…

No prominent works on this page.

  • Can green cycling paths reduce commuter exposure to ultrafine particles? A repeated measures study in Copenhagen, Denmark

    Open Access•Gonzalo B Hevia-Ramos, George Napolitano et al.•ARTICLE•Sustainable Cities and Society•2026

    Background In urban environments, road traffic is the primary source of ultrafine particle (UFP) exposure. Cycling along green paths, away from traffic, may reduce commute-related air pollution exposure. This study quantifies commuter exposure to UFP in urban environments and the potential reduction when cycling on green paths. Methods Over six weeks (February-March 2024), 40 cycling trips were performed on a fixed 8.3 km route (∼35 minutes) in C…

Air Quality and Health Impacts (1 works) · Cycling (1 works) · Data collection (1 works) · Urban Green Space and Health (1 works) · Urban Transport and Accessibility (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae