Accuracy of buffers and self-drawn neighbourhoods in representing adolescent GPS measured activity spaces: An exploratory study
dc.contributor.author | Christensen A | |
dc.contributor.author | Griffiths C | |
dc.contributor.author | Gorse G | |
dc.contributor.author | Radley D | |
dc.contributor.author | Hobbs, M. | |
dc.date.accessioned | 2021-04-29T04:14:40Z | |
dc.date.available | 2021-04-29T04:14:40Z | |
dc.date.issued | 2021 | en |
dc.date.updated | 2021-04-22T08:01:42Z | |
dc.description.abstract | Background: There continues to be a lack of understanding as to the geographical area at which the environment exerts influence on behaviour and health. This exploratory study compares different potential methods of both researcher- and participant-defined definitions of neighbourhood reflect an adolescent’s activity space. Methods: Seven consecutive days of global positioning system (GPS) tracking data were collected at 15 second intervals using a small exploratory adolescent sample of 14–18 year olds (n=69) in West Yorkshire, England. A total of 304,581 GPS tracking points were collected and compared 30 different definitions of researcher-defined neighbourhoods including radial, network and ellipse buffers at 400m, 800m, 1000m, 1600m and 3000m, as well as participant36 defined self-drawn neighbourhoods. Results: This exploratory study supports emerging evidence cautioning against the use of static neighbourhood definitions for defining exposure. Traditional buffers (network and radial) capture at most 67% of activity space (home radial), and at worst they captured only 3.5% (school network) and range from capturing between 3-88% of total time. Similarly, self-drawn neighbourhoods captured only 10% of actual daily movement. Interestingly, 40% of an adolescent’s self-drawn neighbourhood was not used. We also demonstrate that buffers capture a range of space (22-95%) where adolescents do not go, thus misclassifying the exposure. Conclusion: Our exploratory findings demonstrate that neither researcher- nor participant46 defined definition of neighbourhood adequately captures adolescent activity space. Further research with larger samples are needed to confirm the findings of this exploratory study. | en |
dc.identifier.citation | Christensen A, Griffiths C, Hobbs M, Gorse G, Radley D (2021). Accuracy of buffers and self-drawn neighbourhoods in representing adolescent GPS measured activity spaces: An exploratory study. Health & Place. 69. 102569-102569. | en |
dc.identifier.doi | http://doi.org/10.1016/j.healthplace.2021.102569 | |
dc.identifier.issn | 1353-8292 | |
dc.identifier.uri | https://hdl.handle.net/10092/101843 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Elsevier BV | en |
dc.rights | All rights reserved unless otherwise stated | en |
dc.rights.uri | http://hdl.handle.net/10092/17651 | en |
dc.subject | GIS | en |
dc.subject | environment | en |
dc.subject | perceived neighbourhoods | en |
dc.subject.anzsrc | 1117 Public Health and Health Services | en |
dc.subject.anzsrc | 1604 Human Geography | en |
dc.subject.anzsrc | Field of Research::09 - Engineering::0909 - Geomatic Engineering::090903 - Geospatial Information Systems | en |
dc.subject.anzsrc | Field of Research::16 - Studies in Human Society::1604 - Human Geography::160402 - Recreation, Leisure and Tourism Geography | en |
dc.subject.anzsrc | Field of Research::16 - Studies in Human Society::1604 - Human Geography::160403 - Social and Cultural Geography | en |
dc.subject.anzsrc | Field of Research::11 - Medical and Health Sciences::1117 - Public Health and Health Services::111704 - Community Child Health | en |
dc.title | Accuracy of buffers and self-drawn neighbourhoods in representing adolescent GPS measured activity spaces: An exploratory study | en |
dc.type | Journal Article | en |
uc.college | Faculty of Health | |
uc.department | School of Health Sciences |
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