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Quantifying Distance Overestimation From Global Positioning System in Urban Spaces

American journal of public health (1971), 2016-04, Vol.106 (4), p.651-653 [Peer Reviewed Journal]

Copyright American Public Health Association Apr 2016 ;American Public Health Association 2016 2016 ;ISSN: 0090-0036 ;EISSN: 1541-0048 ;DOI: 10.2105/AJPH.2015.303036 ;PMID: 26890178 ;CODEN: AJPHDS

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Title:
Quantifying Distance Overestimation From Global Positioning System in Urban Spaces
Author: Mooney, Stephen J ; Sheehan, Daniel M ; Zulaika, Garazi ; Rundle, Andrew G ; McGill, Kevin ; Behrooz, Melika R ; Lovasi, Gina Schellenbaum
Subjects: Accuracy ; AJPH Methods ; Algorithms ; Censuses ; Central business districts ; Data collection ; Dimensional Measurement Accuracy ; Environment ; Exercise/Physical Activity ; Geographic information systems ; Geographic Information Systems - instrumentation ; Geography ; Global positioning systems ; GPS ; Humans ; International conferences ; Medical research ; New York City ; Other Statistics/Evaluation/Research ; Outdoor air quality ; Public health ; Satellites ; Studies ; Travel ; Trees ; Urban areas ; Urban Health ; Urban Population ; Walking
Is Part Of: American journal of public health (1971), 2016-04, Vol.106 (4), p.651-653
Description: To investigate accuracy of distance measures computed from Global Positioning System (GPS) points in New York City. We performed structured walks along urban streets carrying Globalsat DG-100 GPS Data Logger devices in highest and lowest quartiles of building height and tree canopy cover. We used ArcGIS version 10.1 to select walks and compute the straight-line distance (Geographic Information System-measured) and sum of distances between consecutive GPS waypoints (GPS-measured) for each walk. GPS distance overestimates were associated with building height (median overestimate = 97% for high vs 14% for low building height) and to a lesser extent tree canopy (43% for high vs 28% for low tree canopy). Algorithms using distances between successive GPS points to infer speed or travel mode may misclassify trips differentially by context. Researchers studying urban spaces may prefer alternative mode identification techniques.
Publisher: United States: American Public Health Association
Language: English
Identifier: ISSN: 0090-0036
EISSN: 1541-0048
DOI: 10.2105/AJPH.2015.303036
PMID: 26890178
CODEN: AJPHDS
Source: ProQuest One Psychology
MEDLINE
PubMed Central
ProQuest Central

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Quantifying Distance Overestimation From Global Positioning System in Urban Spaces

Copyright American Public Health Association Apr 2016 ;American Public Health Association 2016 2016 ;ISSN: 0090-0036 ;EISSN: 1541-0048 ;DOI: 10.2105/AJPH.2015.303036 ;PMID: 26890178 ;CODEN: AJPHDS

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