Traditionally, health researchers have used large-scale travel surveys to measure existing travel behavior and identify the determinants driving it. However, such surveys rely on self-reporting, which can be unreliable. Here, the authors discuss using wearable cameras that capture first-person point-of-view images to help objectively identify the duration, frequency, and mode of journeys and reveal potential errors inherent in self-reporting. Their approach could ultimately lead to a better understanding of the environments offering individuals opportunities to engage in more active forms of transportation. This column is part of a special issue on transit and transport. © 2002-2012 IEEE.

Original publication

DOI

10.1109/MPRV.2013.21

Type

Journal article

Journal

IEEE Pervasive Computing

Publication Date

04/02/2013

Volume

12

Pages

44 - 47