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

• Main Authors: Duncan S. Procter (Author), Angie S. Page (Author), Ashley R. Cooper (Author), Claire M. Nightingale (Author), Bina Ram (Author), Alicja R. Rudnicka (Author), Peter H. Whincup (Author), Christelle Clary (Author), Daniel Lewis (Author), Steven Cummins (Author), Anne Ellaway (Author), Billie Giles-Corti (Author), Derek G. Cook (Author), Christopher G. Owen (Author)
• Format: Book
• Published: BMC, 2018-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract 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...