Literature DB >> 22829049

Performance of GPS-devices for environmental exposure assessment.

Johan Beekhuizen1, Hans Kromhout, Anke Huss, Roel Vermeulen.   

Abstract

Integration of individual time-location patterns with spatially resolved exposure maps enables a more accurate estimation of personal exposures to environmental pollutants than using estimates at fixed locations. Current global positioning system (GPS) devices can be used to track an individual's location. However, information on GPS-performance in environmental exposure assessment is largely missing. We therefore performed two studies. First, a commute-study, where the commute of 12 individuals was tracked twice, testing GPS-performance for five transport modes and two wearing modes. Second, an urban-tracking study, where one individual was tracked repeatedly through different areas, focused on the effect of building obstruction on GPS-performance. The median error from the true path for walking was 3.7 m, biking 2.9 m, train 4.8 m, bus 4.9 m, and car 3.3 m. Errors were larger in a high-rise commercial area (median error=7.1 m) compared with a low-rise residential area (median error=2.2 m). Thus, GPS-performance largely depends on the transport mode and urban built-up. Although ~85% of all errors were <10 m, almost 1% of the errors were >50 m. Modern GPS-devices are useful tools for environmental exposure assessment, but large GPS-errors might affect estimates of exposures with high spatial variability.

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Year:  2012        PMID: 22829049     DOI: 10.1038/jes.2012.81

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  13 in total

1.  Quantifying Distance Overestimation From Global Positioning System in Urban Spaces.

Authors:  Stephen J Mooney; Daniel M Sheehan; Garazi Zulaika; Andrew G Rundle; Kevin McGill; Melika R Behrooz; Gina Schellenbaum Lovasi
Journal:  Am J Public Health       Date:  2016-02-18       Impact factor: 9.308

2.  GPS-based microenvironment tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: model evaluation in central North Carolina.

Authors:  Michael S Breen; Thomas C Long; Bradley D Schultz; James Crooks; Miyuki Breen; John E Langstaff; Kristin K Isaacs; Yu-Mei Tan; Ronald W Williams; Ye Cao; Andrew M Geller; Robert B Devlin; Stuart A Batterman; Timothy J Buckley
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-03-12       Impact factor: 5.563

3.  Accounting for space, time, and behavior using GPS derived dynamic measures of environmental exposure.

Authors:  Marta M Jankowska; Jiue-An Yang; Nana Luo; Chad Spoon; Tarik Benmarhnia
Journal:  Health Place       Date:  2021-11-17       Impact factor: 4.931

4.  Dynamic Accuracy of GPS Receivers for Use in Health Research: A Novel Method to Assess GPS Accuracy in Real-World Settings.

Authors:  Jasper Schipperijn; Jacqueline Kerr; Scott Duncan; Thomas Madsen; Charlotte Demant Klinker; Jens Troelsen
Journal:  Front Public Health       Date:  2014-03-10

5.  Benefits of Mobile Phone Technology for Personal Environmental Monitoring.

Authors:  David Donaire-Gonzalez; Antònia Valentín; Audrey de Nazelle; Albert Ambros; Glòria Carrasco-Turigas; Edmund Seto; Michael Jerrett; Mark J Nieuwenhuijsen
Journal:  JMIR Mhealth Uhealth       Date:  2016-11-10       Impact factor: 4.773

6.  Mobility assessment of a rural population in the Netherlands using GPS measurements.

Authors:  Gijs Klous; Lidwien A M Smit; Floor Borlée; Roel A Coutinho; Mirjam E E Kretzschmar; Dick J J Heederik; Anke Huss
Journal:  Int J Health Geogr       Date:  2017-08-09       Impact factor: 3.918

Review 7.  How Sensors Might Help Define the External Exposome.

Authors:  Miranda Loh; Dimosthenis Sarigiannis; Alberto Gotti; Spyros Karakitsios; Anjoeka Pronk; Eelco Kuijpers; Isabella Annesi-Maesano; Nour Baiz; Joana Madureira; Eduardo Oliveira Fernandes; Michael Jerrett; John W Cherrie
Journal:  Int J Environ Res Public Health       Date:  2017-04-18       Impact factor: 3.390

8.  Validating a GPS-based approach to detect health facility visits against maternal response to prompted recall survey.

Authors:  Andrew Marsh; Siddhivinayak Hirve; Pallavi Lele; Uddhavi Chavan; Tathagata Bhattacharjee; Harish Nair; Harry Campbell; Sanjay Juvekar
Journal:  J Glob Health       Date:  2020-06       Impact factor: 4.413

9.  Estimation of exposure to atmospheric pollutants during pregnancy integrating space-time activity and indoor air levels: Does it make a difference?

Authors:  Marion Ouidir; Lise Giorgis-Allemand; Sarah Lyon-Caen; Xavier Morelli; Claire Cracowski; Sabrina Pontet; Isabelle Pin; Johanna Lepeule; Valérie Siroux; Rémy Slama
Journal:  Environ Int       Date:  2015-08-24       Impact factor: 9.621

10.  Using GPS-derived speed patterns for recognition of transport modes in adults.

Authors:  Anke Huss; Johan Beekhuizen; Hans Kromhout; Roel Vermeulen
Journal:  Int J Health Geogr       Date:  2014-10-11       Impact factor: 3.918

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