An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data

BACKGROUND: Increases in physical activity through active travel have the potential to have large beneficial effects on populations, through both better health outcomes and reduced motorized traffic. However accurately identifying travel mode in large datasets is problematic. Here we provide an open...

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Detalles Bibliográficos
Autores principales: Procter, Duncan S., Page, Angie S., Cooper, Ashley R., Nightingale, Claire M., Ram, Bina, Rudnicka, Alicja R., Whincup, Peter H., Clary, Christelle, Lewis, Daniel, Cummins, Steven, Ellaway, Anne, Giles-Corti, Billie, Cook, Derek G., Owen, Christopher G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6150970/
https://www.ncbi.nlm.nih.gov/pubmed/30241483
http://dx.doi.org/10.1186/s12966-018-0724-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6150970/
https://www.ncbi.nlm.nih.gov/pubmed/30241483
http://dx.doi.org/10.1186/s12966-018-0724-y

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