Literature DB >> 17572312

GIS or GPS? A comparison of two methods for assessing route taken during active transport.

Mitch J Duncan1, W Kerry Mummery.   

Abstract

INTRODUCTION: Current methods of assessing routes taken during active transport rely on subjective recall of trip length and barriers encountered enroute or the utilization of objective measures (Geographic Information Systems -[GIS]) that may not represent actual travel patterns. This study examined the utility of Global Positioning Systems (GPS) to measure actual routes taken compared with GIS-estimated travel distance and barriers encountered.
METHODS: Comparisons between GPS and GIS routes were performed for 59 of 75 children who wore a GPS during the journey to school on a single occasion. Home and school addresses were reported by parents and geocoded in GIS. Children were provided with a GPS and were instructed to travel their normal route to and from school. Data were collected between March and November 2005 and exported to the GIS to determine travel distance, number of busy streets crossed, and the ratio of busy streets to the total streets traveled on. Data analysis was performed in August 2006.
RESULTS: No differences were observed between GPS-measured journeys to and from school on any of the examined variables. No differences were observed between GIS and GPS measures of travel distance (p>0.05). GIS-estimated travel routes crossed a significantly (p<0.05) higher number of busy streets (GIS: 1.68+/-0.12 vs GPS: 1.19+/-0.11) and traveled on a higher ratio of busy streets to total streets traveled on (GIS: 0.46+/-0.03 vs GPS: 0.35+/-0.04) (p<0.05) compared with GPS-measured actual travel routes.
CONCLUSIONS: Geographic Information Systems provides estimates of travel distance similar to GPS-measured actual travel distances. Travel routes estimated by GIS are not representative of actual routes measured by GPS, which indicates that GIS may not provide an accurate estimate of barriers encountered. The continued use of GPS in active transport research in encouraged.

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Year:  2007        PMID: 17572312     DOI: 10.1016/j.amepre.2007.02.042

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  45 in total

1.  Identifying walking trips from GPS and accelerometer data in adolescent females.

Authors:  Daniel A Rodriguez; Gi-Hyoug Cho; John P Elder; Terry L Conway; Kelly R Evenson; Bonnie Ghosh-Dastidar; Elizabeth Shay; Deborah Cohen; Sara Veblen-Mortenson; Julie Pickrell; Leslie Lytle
Journal:  J Phys Act Health       Date:  2011-05-11

2.  Comparing GPS, Log, Survey, and Accelerometry to Measure Physical Activity.

Authors:  Peter James; Jennifer Weissman; Jean Wolf; Karen Mumford; Cheryl K Contant; Wei-Ting Hwang; Lynne Taylor; Karen Glanz
Journal:  Am J Health Behav       Date:  2016-01

3.  Examining commute routes: applications of GIS and GPS technology.

Authors:  Hannah M Badland; Mitch J Duncan; Melody Oliver; J Scott Duncan; Suzanne Mavoa
Journal:  Environ Health Prev Med       Date:  2010-03-20       Impact factor: 3.674

4.  Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution?

Authors:  Kristin Meseck; Marta M Jankowska; Jasper Schipperijn; Loki Natarajan; Suneeta Godbole; Jordan Carlson; Michelle Takemoto; Katie Crist; Jacqueline Kerr
Journal:  Geospat Health       Date:  2016-05-31       Impact factor: 1.212

5.  Influence of the built environment on pedestrian route choices of adolescent girls.

Authors:  Daniel A Rodríguez; Louis Merlin; Carlo G Prato; Terry L Conway; Deborah Cohen; John P Elder; Kelly R Evenson; Thomas L McKenzie; Julie L Pickrel; Sara Veblen-Mortenson
Journal:  Environ Behav       Date:  2015-05-01

6.  Are GIS-modelled routes a useful proxy for the actual routes followed by commuters?

Authors:  Alice M Dalton; Andrew P Jones; Jenna Panter; David Ogilvie
Journal:  J Transp Health       Date:  2015-06-01

7.  Patterns of GPS measured time outdoors after school and objective physical activity in English children: the PEACH project.

Authors:  Ashley R Cooper; Angie S Page; Benedict W Wheeler; Melvyn Hillsdon; Pippa Griew; Russell Jago
Journal:  Int J Behav Nutr Phys Act       Date:  2010-04-22       Impact factor: 6.457

8.  Global positioning system: a new opportunity in physical activity measurement.

Authors:  Ralph Maddison; Cliona Ni Mhurchu
Journal:  Int J Behav Nutr Phys Act       Date:  2009-11-04       Impact factor: 6.457

9.  The "path" not taken: exploring structural differences in mapped- versus shortest-network-path school travel routes.

Authors:  Ron N Buliung; Kristian Larsen; Guy E J Faulkner; Michelle R Stone
Journal:  Am J Public Health       Date:  2013-07-18       Impact factor: 9.308

10.  Environmental supportiveness for physical activity in English schoolchildren: a study using Global Positioning Systems.

Authors:  Andrew P Jones; Emma G Coombes; Simon J Griffin; Esther Mf van Sluijs
Journal:  Int J Behav Nutr Phys Act       Date:  2009-07-17       Impact factor: 6.457

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