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http://dx.doi.org/10.5620/eht.2013.28.e2013005

Development of Time-location Weighted Spatial Measures Using Global Positioning System Data  

Han, Daikwon (Department of Epidemiology and Biostatistics, Texas A&M School of Rural Public Health)
Lee, Kiyoung (Department of Environmental Health and Institute of Health and Environment, Graduate School of Public Health, Seoul National University)
Kim, Jongyun (Department of Environmental Health and Institute of Health and Environment, Graduate School of Public Health, Seoul National University)
Bennett, Deborah H. (Department of Public Health Sciences, School of Medicine, University of California at Davis)
Cassady, Diana (Department of Public Health Sciences, School of Medicine, University of California at Davis)
Hertz-Picciotto, Irva (Department of Public Health Sciences, School of Medicine, University of California at Davis)
Publication Information
Environmental Analysis Health and Toxicology / v.28, no., 2013 , pp. 5.1-5.7 More about this Journal
Abstract
Objectives Despite increasing availability of global positioning system (GPS), no research has been conducted to analyze GPS data for exposure opportunities associated with time at indoor and outdoor microenvironments. We developed location-based and time-weighted spatial measures that incorporate indoor and outdoor time-location data collected by GPS. Methods Time-location data were drawn from 38 female subjects in California who wore a GPS device for seven days. Ambient standard deviational ellipse was determined based on outdoor locations and time duration, while indoor time weighted standard deviational ellipse (SDE) was developed to incorporate indoor and outdoor times and locations data into the ellipse measure. Results Our findings indicated that there was considerable difference in the sizes of exposure potential measures when indoor time was taken into consideration, and that they were associated with day type (weekday/weekend) and employment status. Conclusions This study provides evidence that time-location weighted measure may provide better accuracy in assessing exposure opportunities at different microenvironments. The use of GPS likely improves the geographical details and accuracy of time-location data, and further development of such location-time weighted spatial measure is encouraged.
Keywords
Global positioning system; Indoor time-location weighted spatial measure; Time-location data;
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1 Cooper AR, Page AS, Wheeler BW, Hillsdon M, Griew P, Jago R. Patterns of GPS measured time outdoors after school and objective physical activity in English children: the PEACH project. Int J Behav Nutr Phys Act 2010;7:31.   DOI
2 Rainham D, Krewski D, McDowell I, Sawada M, Liekens B. Development of a wearable global positioning system for place and health research. Int J Health Geogr 2008;7:59.   DOI
3 Wiehe SE, Carroll AE, Liu GC, Haberkorn KL, Hoch SC, Wilson JS, et al. Using GPS-enabled cell phones to track the travel patterns of adolescents. Int J Health Geogr 2008;7:22.   DOI
4 Lee K, Kim JY, Putti K, Bennett DH, Cassady D, Hertz-Picciotto I. Use of portable global positioning system (GPS) devices in exposure analysis for time-location measurement. J Environ Health Sci 2009;35(6):447-453.
5 Leech JA, Nelson WC, Burnett RT, Aaron S, Raizenne ME. It's about time: a comparison of Canadian and American time-activity patterns. J Expo Anal Environ Epidemiol 2002;12(6):427-432.   DOI
6 Nethery E, Brauer M, Janssen P. Time-activity patterns of pregnant women and changes during the course of pregnancy. J Expo Sci Environ Epidemiol 2009;19(3):317-324.   DOI
7 Wallace LA. Human exposure to volatile organic pollutants: implications for indoor air studies. Annu Rev Energy Environ 2001; 26: 269-301.   DOI
8 Hertz-Picciotto I, Cassady D, Lee K, Bennett DH, Ritz B, Vogt R. Study of Use of Products and Exposure-Related Behaviors (SUPERB): study design, methods, and demographic characteristics of cohorts. Environ Health 2010;9:54.   DOI
9 Buliung RN, Remmel TK. Open source, spatial analysis, and activity- travel behaviour research: capabilities of the aspace package. J Geograph Syst 2008;10:191-216.   DOI
10 Yuill RS. The standard deviational ellipse: an updated tool for spatial description. Geogr Ann Ser B 1971;53(1):28-39.   DOI
11 McCurdy T, Graham SE. Using human activity data in exposure models: analysis of discriminating factors. J Expo Anal Environ Epidemiol 2003;13(4):294-317.   DOI
12 Kwan MP. Gender differences in space-time constraints. Area 2000; 32(2):145-156.   DOI
13 Bhat CR, Misra R. Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends. Transportation 1999;26(2):193-229.   DOI
14 Yamamoto T, Kitamura R. An analysis of time allocation to inhome and out-of-home discretionary activities across working days and non-working days. Transportation 1999;26(2):231-250.
15 Buliung R, Kanaroglou PS. A GIS toolkit for exploring geographies of household activity/travel behavior. J Trans Geogr 2006;14(1): 35-51.   DOI
16 Woods CR, Arcury TA, Powers JM, Preisser JS, Gesler WM. Determinants of health care use by children in rural western North Carolina: results from the Mountain Accessibility Project. Pediatrics 2003;112(2):e143-e152.   DOI
17 Wu J, Jiang C, Houston D, Baker D, Delfino R. Automated time activity classification based on global positioning system (GPS) tracking data. Environ Health 2011;10:101.   DOI
18 Kim T, Lee K, Yang W, Yu SD. A new analytical method for the classification of time-location data obtained from the global positioning system (GPS). J Environ Monit 2012;14(8):2270-2274.   DOI
19 Freeman NC, Saenz de Tejada S. Methods for collecting time/activity pattern information related to exposure to combustion products. Chemosphere 2002;49(9):979-992.   DOI
20 Elgethun K, Yost MG, Fitzpatrick CT, Nyerges TL, Fenske RA. Comparison of global positioning system (GPS) tracking and parent- report diaries to characterize children's time-location patterns. J Expo Sci Environ Epidemiol 2007;17(2):196-206.   DOI
21 Rodríguez DA, Brown AL, Troped PJ. Portable global positioning units to complement accelerometry-based physical activity monitors. Med Sci Sports Exerc 2005;37(11 Suppl):S572-S581.   DOI
22 Elgethun K, Fenske RA, Yost MG, Palcisko GJ. Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument. Environ Health Perspect 2003;111(1):115-122.
23 Milton R, Steed A. Mapping carbon monoxide using GPS tracked sensors. Environ Monit Assess 2007;124(1-3):1-19.   DOI
24 Phillips ML, Hall TA, Esmen NA, Lynch R, Johnson DL. Use of global positioning system technology to track subject's location during environmental exposure sampling. J Expo Anal Environ Epidemiol 2001;11(3):207-215.   DOI
25 Weijersa EP, Khlystov AV , Kosa GPA, Erisman JW. Variability of particulate matter concentrations along roads and motorways determined by a moving measurement unit. Atmos Environ 2004; 38(19): 2993-3002.   DOI
26 Vazquez-Prokopec GM, Stoddard ST, Paz-Soldan V, Morrison AC, Elder JP, Kochel TJ, et al. Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus. Int J Health Geogr 2009;8:68.   DOI
27 Kerr J, Duncan S, Schipperijn J. Using global positioning systems in health research: a practical approach to data collection and processing. Am J Prev Med 2011;41(5):532-540.   DOI
28 Krenn PJ, Titze S, Oja P, Jones A, Ogilvie D. Use of global positioning systems to study physical activity and the environment: a systematic review. Am J Prev Med 2011;41(5):508-515.   DOI