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Cho, Gi-Hyoug
Sustainable Urban Plaaning and Design Lab
Research Interests
  • Urban Planning, Urban Design, Travel Behavior, Urban Heat Island , Spatial Analysis

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Identifying walking trips from GPS and accelerometer data in adolescent females

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dc.contributor.author Cho, Gi-Hyoug -
dc.contributor.author Rodriguez, Daniel A. -
dc.contributor.author Elder, John P. -
dc.contributor.author Conway, Terry L. -
dc.contributor.author Evenson, Kelly R. -
dc.contributor.author Ghosh-Dastidar, Bonnie -
dc.contributor.author Shay, Elizabeth -
dc.contributor.author Cohen, Deborah Ann -
dc.contributor.author Veblen-Mortenson, Sara -
dc.contributor.author Pickrell, Julie -
dc.contributor.author Lytle, Leslie A. -
dc.date.accessioned 2015-01-07T00:08:53Z -
dc.date.available 2015-01-07T00:08:53Z -
dc.date.created 2015-01-06 -
dc.date.issued 2012-03 -
dc.identifier.citation JOURNAL OF PHYSICAL ACTIVITY & HEALTH, v.9, no.3, pp.421 - 431 -
dc.identifier.issn 1543-3080 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/9894 -
dc.description.abstract Background: Studies that have combined accelerometers and global positioning systems (GPS) to identify walking have done so in carefully controlled conditions. This study tested algorithms for identifying walking trips from accelerometer and GPS data in free-living conditions. The study also assessed the accuracy of the locations where walking occurred compared with what participants reported in a diary. Methods: A convenience sample of high school females was recruited (N = 42) in 2007. Participants wore a GPS unit and an accelerometer, and recorded their out-of-school travel for 6 days. Split-sample validation was used to examine agreement in the daily and total number of walking trips with Kappa statistics and count regression models, while agreement in locations visited by walking was examined with geographic information systems. Results: Agreement varied based on the parameters of the algorithm, with algorithms exhibiting moderate to substantial agreement with self-reported daily (Kappa = 0.33-0.48) and weekly (Kappa = 0.41-0.64) walking trips. Comparison of reported locations reached by walking and GPS data suggest that reported locations are accurate. Conclusions: The use of GPS and accelerometers is promising for assessing the number of walking trips and the walking locations of adolescent females. -
dc.description.statementofresponsibility open -
dc.language ENG -
dc.publisher HUMAN KINETICS PUBL INC -
dc.subject Physical activity measurement -
dc.subject Self-reports -
dc.subject Walking behavior -
dc.subject Youth -
dc.title Identifying walking trips from GPS and accelerometer data in adolescent females -
dc.type ARTICLE -
dc.identifier.scopusid 2-s2.0-84859500627 -
dc.type.rims ART -
dc.description.scopustc 13 *
dc.date.scptcdate 2015-11-04 *
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