Literature DB >> 26890178

Quantifying Distance Overestimation From Global Positioning System in Urban Spaces.

Stephen J Mooney1, Daniel M Sheehan1, Garazi Zulaika1, Andrew G Rundle1, Kevin McGill1, Melika R Behrooz1, Gina Schellenbaum Lovasi1.   

Abstract

OBJECTIVES: To investigate accuracy of distance measures computed from Global Positioning System (GPS) points in New York City.
METHODS: 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.
RESULTS: 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).
CONCLUSIONS: 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.

Mesh:

Year:  2016        PMID: 26890178      PMCID: PMC4815998          DOI: 10.2105/AJPH.2015.303036

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


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