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Use of the global positioning system to measure the out-of-home mobility of older adults with differing cognitive functioning

Published online by Cambridge University Press:  16 May 2011

NOAM SHOVAL*
Affiliation:
Hebrew University of Jerusalem, Israel.
HANS-WERNER WAHL
Affiliation:
University of Heidelberg, Germany.
GAIL AUSLANDER
Affiliation:
Hebrew University of Jerusalem, Israel.
MICHAL ISAACSON
Affiliation:
Hebrew University of Jerusalem, Israel.
FRANK OSWALD
Affiliation:
Goethe University, Frankfurt, Germany.
TAMAR EDRY
Affiliation:
Hebrew University of Jerusalem, Israel.
RUTH LANDAU
Affiliation:
Hebrew University of Jerusalem, Israel.
JEREMIA HEINIK
Affiliation:
Tel Aviv University, Israel.
*
Address for correspondence: Noam Shoval, Department of Geography, Hebrew University of Jerusalem, Jerusalem, 91905, Israel. E-mail: noamshoval@huji.ac.il

Abstract

Cognitive impairment manifests in changed out-of-home mobility. Until recently, the assessment of outdoor mobility relied on the reports of family care-givers and institutional staff and used observational approaches, activity monitoring or behavioural checklists. This article presents data for 41 mildly demented, mildly cognitively impaired and healthy men and women aged 64–90 years in Tel-Aviv (Israel) who took part in an interdisciplinary project, SenTra, that is studying the outdoor activities of elderly people using advanced tracking technologies and that involves researchers from geography, social work, gerontology, psychology and medicine. The participants were tracked for 28 consecutive days using a location kit that combined a global positioning system (GPS) with radio frequency identification. The high-resolution spatial and temporal data enabled detailed analysis of the differences in the timing and distance of the participants' daily outdoor mobility patterns. It was found that the spatial range of the mobility of elderly people with cognitive impairment is severely restricted, with most out-of-home time spent in close proximity to their residences. We conclude that GPS is an advanced research tool able to understand out-of-home behaviour better than was possible with previous methods.

Type
Articles
Copyright
Copyright © Cambridge University Press 2011

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References

Anderson, J. 1971. Space-time budgets and activity studies in urban geography and planning. Environment and Planning, 3, 4, 353–68.CrossRefGoogle Scholar
Alsnih, R. and Hensher, D. A. 2003. The mobility and accessibility expectations of seniors in an aging population. Transportation Research, Part A, 37, 10, 903–16.Google Scholar
Axhausen, K. W., Zimmermann, A., Schönfelder, S., Rindsfüser, G. and Haupt, T. 2002. Observing the rhythms of daily life: a six-week travel diary. Transportation, 29, 2, 95–124.CrossRefGoogle Scholar
Blackman, T., Mitchell, L., Burton, E., Jenks, M., Parsons, M., Raman, S. and Williams, K. 2003. The accessibility of public spaces for people with dementia: a new priority for the ‘open city’. Disability and Society, 18, 3, 357–71.CrossRefGoogle Scholar
Bohte, W. and Maat, K. 2009. Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: a large-scale application in The Netherlands. Transportation Research Part C: Emerging Technologies, 17, 3, 285–97.CrossRefGoogle Scholar
Breeze, E., Jones, D. A., Wilkinson, P., Bulpitt, C. J., Grundy, C., Latif, A. M. and Fletcher, A. E. 2005. Area deprivation, social class, and quality of life among people aged 75 years and over in Britain. International Journal of Epidemiology, 34, 2, 276–83.CrossRefGoogle ScholarPubMed
Carp, F. M. 1970. The mobility of retired people. In Cantilli, E. J. and Schmelzer, J. (eds), Transportation and Aging. US Government Printing Office, Washington DC, 2341.Google Scholar
Chapin, F. S. 1978. Human time allocation in the city. In Carlstein, T.Parkes, D. N. and Thrift, N. J. (eds), Timing Space and Spacing Time II: Human Activity and Time Geography. Edward Arnold, London, 1326.Google Scholar
Cobb, R. W. and Coughlin, J. F. 2000. How will we get there from here? Placing transportation on the aging policy agenda. Journal of Aging and Social Policy, 11, 2/3, 201–10.CrossRefGoogle ScholarPubMed
Doherty, S. T. and Miller, E. J. 2000. A computerized household activity scheduling survey. Transportation, 27, 1, 7597.CrossRefGoogle Scholar
Elgethun, K., Fenske, R. A., Yost, M. G. and Palcisko, G. J. 2003. Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument. Environmental Health Perspectives, 111, 1, 115–22.CrossRefGoogle ScholarPubMed
Gabriel, Z. and Bowling, A. 2004. Quality of life from the perspectives of older people. Ageing & Society, 24, 5, 675–91.CrossRefGoogle Scholar
Golant, S. M. 1979. Location and Environment of Elderly Population. V. H. Winston, Washington DC.Google Scholar
Golledge, R. G., Loomis, J. M., Klatzky, R. L., Flury, A. and Yang, X. 1991. Designing a personal guidance system to aid navigation without sight: progress on the GIS component. International Journal of Geographical Information Systems, 5, 4, 373–95.CrossRefGoogle Scholar
Golledge, R. G., Klatzky, R. L., Loomis, J. M., Speigle, J. and Tietz, J. 1998. A geographical information system for a GPS based personal guidance system. International Journal of Geographical Information Science, 12, 7, 727–49.CrossRefGoogle Scholar
Golob, T. F. and Hensher, D. A. 2007. The trip chaining activity of Sydney residents: a cross-section assessment by age group with a focus on seniors. Journal of Transport Geography, 15, 4, 298312.CrossRefGoogle Scholar
Goodchild, M. F. and Janelle, D. G. 1984. The city around the clock: space-time patterns of urban ecological structure (Halifax, Canada). Environment and Planning A, 16, 6, 807–20.CrossRefGoogle Scholar
Gregory, D. 1994. Geographical Imaginations. Blackwell, Cambridge, Massachusetts.Google Scholar
Gregory, D. 2000. Time-geography. In Gregory, D., Johnston, R., Gereldine, P., Watts, M. and Whatmore, S. (eds), Dictionary of Human Geography. Wiley-Blackwell, New York, 830–3.Google Scholar
Gren, M. 2001. Time-geography matters. In May, J. and Thrift, N. (eds), Timespace: Geographies of Temporality. Routledge, London, 208–25.Google Scholar
Hägerstrand, T. 1970. What about people in regional science? Papers of the Regional Science Association, 24, 1, 7–21.CrossRefGoogle Scholar
Hanson, P. 1977. The activity patterns of elderly households. Geografiska Annaler, 59, 2, 109–24.CrossRefGoogle Scholar
Harvey, D. 1989. The Condition of Postmodernity: An Enquiry into the Origins of Cultural Change. Blackwell, Oxford.Google Scholar
Hunter-Zaworski, K. 2007. Getting around in an aging society. Planning, 73, 5, 22–5.Google Scholar
Janelle, D. G., Goodchild, M. F. and Klinkenberg, K. 1988. Space-time diaries and travel characteristics for different levels of respondent aggregation. Environment and Planning A, 20, 7, 891906.CrossRefGoogle Scholar
Kang, H. and Scott, D. M. 2008. An integrated spatio-temporal GIS toolkit for exploring intrahousehold interactions. Transportation, 35, 2, 253–68.CrossRefGoogle Scholar
Kitamura, R., Nishii, K. and Goulias, K. 1990. Trip chaining behavior by central city commuters: a causal analysis of time-space constraints. In Jones, P. (ed.), Developments in Dynamic and Activity Based Approaches to Travel Analysis. Avebury, Aldershot, UK, 145–70.Google Scholar
Kondo, K. and Kitamura, R. 1987. Time-space constraints and the formation of trip chains. Regional Science and Economics, 17, 1, 4965.CrossRefGoogle Scholar
Kwan, M. P. 1998. Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework. Geographical Analysis, 30, 3, 191216.CrossRefGoogle Scholar
Kwan, M. P. 1999. Gender, the home-work link, and space-time patterns of nonemployment activities. Economic Geography, 75, 4, 370–94.Google Scholar
Kwan, M. P. 2000. Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set. Transportation Research Part C, 8, 1–6, 185203.CrossRefGoogle Scholar
Kwan, M. P. 2002. Feminist visualisation: re-envisioning GIS as a method in feminist geographic research. Annals of the Association of American Geographers, 92, 4, 645–61.CrossRefGoogle Scholar
Kwan, M. P. 2004. GIS methods in time-geographic research: geocomputation and geovisualization of human activity patterns. Geografiska Annaler B, 86, 4, 267–80.CrossRefGoogle Scholar
Kwan, M. P. and Lee, J. 2004. Geovisualization of human activity patterns using 3-D GIS: a time geographic approach. In Goodchild, M. F. and Janelle, D. G. (eds), Spatially Integrated Social Science. Oxford University Press, New York, 4866.CrossRefGoogle Scholar
Lawton, M. P. 1999. Environmental taxonomy: generalizations from research with older adults. In Friedman, S. L. and Wachs, T. D. (eds), Measuring Environment Across the Life Span. American Psychological Association, Washington DC, 91–124.Google Scholar
Lawton, M. P. and Nahemow, L. 1973. Ecology and the aging process. In Eisdorfer, C. and Lawton, M. P. (eds), Psychology of Adult Development and Aging. American Psychological Association, Washington DC, 619–74.CrossRefGoogle Scholar
Le Faucheur, A., Abraham, P., Jaquinandi, V., Bouyé, P., Saumet, J. L. and Noury- Desvaux, B. 2008. Measurement of walking distance and speed in patients with peripheral arterial disease. Circulation: Journal of the American Heart Association, 117, 7, 897904.CrossRefGoogle ScholarPubMed
Lenntorp, B. 1999. Time-geography – at the end of its beginning. GeoJournal, 48, 3, 155–8.CrossRefGoogle Scholar
Mercado, R. and Páez, A. 2009. Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA. Journal of Transport Geography, 17, 1, 6576.CrossRefGoogle Scholar
Miller, H. J. 1991. Modeling accessibility using space-time prism concepts within geographical information systems. International Journal of Geographical Information Systems, 5, 3, 287301.CrossRefGoogle Scholar
Miller, H. J. 2005 a. A measurement theory for time geography. Geographical Analysis, 37, 1, 1745.CrossRefGoogle Scholar
Miller, H. J. 2005 b. Necessary space-time conditions for human interaction. Environment and Planning B: Planning and Design, 32, 3, 381401.CrossRefGoogle Scholar
Miller, H. J. and Bridwell, S. 2009. A field-based theory for time geography. Annals of the Association of American Geographers, 99, 1, 4975.CrossRefGoogle Scholar
Miskelly, F. 2004. A novel system of electronic tagging in patients with dementia and wandering. Age and Ageing, 33, 3, 304–6.CrossRefGoogle ScholarPubMed
Miskelly, F. 2005. Electronic tracking of patients with dementia and wandering using mobile phone technology. Age and Ageing, 34, 5, 497–9.CrossRefGoogle ScholarPubMed
Mitchell, L., Burton, E., Raman, S., Blackman, T., Jenks, M. and Williams, K. 2003. Making the outside world dementia-friendly: design issues and considerations. Environment and Planning B: Planning and Design, 30, 4, 605–63.CrossRefGoogle Scholar
Mollenkopf, H., Baas, S., Marcellini, F., Oswald, F., Ruoppila, I., Széman, Z., Tacken, M. and Wahl, H. W. 2005. A new concept of out-of-home mobility. In Mollenkopf, H., Marcellini, F., Ruoppila, I., Széman, Z. and Tacken, M. (eds), Enhancing Mobility in Later Life. Personal Coping, Environmental Resources and Technical Support. The Out-of-home Mobility of Older Adults in Urban and Rural Regions of Five European Countries. IOS Press, Amsterdam, 257–77.Google Scholar
Murakami, E. and Wagner, D. P. 1999. Can using global positioning system (GPS) improve trip reporting? Transportation Research, 7, 2/3, 149–65.Google Scholar
Neutens, T., Van de Weghe, N., Witlox, F. and De Maeyer, P. 2008. A three-dimensional networkbased space-time prism. Journal of Geographical Systems, 10, 1, 89–107.CrossRefGoogle Scholar
Oswald, F. and Wahl, H.-W. 2005. Dimensions of the meaning of home in later life. In Rowles, G. D. and Chaudhury, H. (eds), Coming Home: International Perspectives on Place, Time, and Identity in Old Age. Springer Publishing Company, New York, 2146.Google Scholar
Oswald, F., Wahl, H.-W., Voss, E., Schilling, O., Freytag, T., Auslander, G., Shoval, N., Heinik, J. and Landau, R. 2010. The use of tracking technologies for the analysis of outdoor mobility in the face of dementia: first steps into a project and some illustrative findings from Germany. Journal of Housing for the Elderly, 24, 1, 5573. doi:10.1080/02763890903327481.CrossRefGoogle Scholar
Paez, A., Scott, D., Potoglou, D., Kanaroglou, P. and Newbold, K. B. 2007. Elderly mobility: demographic and spatial analysis of trip making in the Hamilton CMA, Canada. Urban Studies, 44, 1, 123–46.CrossRefGoogle Scholar
Peace, S., Wahl, H.-W., Oswald, F. and Mollenkopf, H. 2007. Environment and ageing: space, time and place. In Bond, J., Dittmann-Kohli, F., Peace, S. and Westerhof, G. J. (eds), Ageing in Society: An Introduction to Social Gerontology. Third edition, Sage, London, 494501.Google Scholar
Perneczky, R., Pohl, C., Sorg, C., Hartmann, J., Tosic, N., Grimmer, T., Heitele, S. and Kurz, A. 2006. Impairment of activities of daily living requiring memory or complex reasoning as part of the MCI syndrome. International Journal of Geriatric Psychiatry, 21, 2, 158–62.CrossRefGoogle ScholarPubMed
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L. and Winblad, B. 2001. Current concepts in mild cognitive impairment. Archives of Neurology, 58, 11, 1985–92.CrossRefGoogle ScholarPubMed
Phillips, M. L., Hall, T. A., Esmen, N. A., Lynch, R. and Johnson, D. L. 2001. Use of global positioning system technology to track subject's location during environmental exposure sampling. Journal of Exposure Analysis and Environmental Epidemiology, 11, 3, 207–15.Google ScholarPubMed
Pred, A. 1990. Lost Words and Lost Worlds: Modernity and the Language of Everyday Life in Late Nineteenth-century Stockholm. Cambridge University Press, Cambridge.Google Scholar
Quiroga, C. A. and Bullock, D. 1998. Travel time studies with global positioning and geographic information systems: an integrated methodology. Transportation Research, 6C, 1/2, 101–27.Google Scholar
Rose, G. 1993. Feminism and Geography: The Limits of Geographical Knowledge. University of Minnesota Press, Minneapolis.Google Scholar
Rosenbloom, S. 2001. Sustainability and automobility among the elderly: an international assessment. Transportation, 28, 4, 375408.CrossRefGoogle Scholar
Rowles, G. D., Oswald, F. and Hunter, E. G. 2004. Interior living environments in old age. In Wahl, H.-W., Scheidt, R. and Windley, P. G. (eds), Aging in Context: Socio-physical Environments. Annual Review of Gerontology and Geriatrics 2003. Springer Publishing Company, New York, 167–93.Google Scholar
Schwanen, T. and Kwan, M.-P. 2008. The Internet, mobile phone and space–time constraints. Geoforum, 39, 3, 1362–77.CrossRefGoogle Scholar
Shoval, N., Auslander, G., Freytag, T., Landau, R., Oswald, F., Seidl, U., Wahl, H. W., Werner, S. and Heinik, J. 2008. The use of advanced tracking technologies for the analysis of mobility in Alzheimer's disease and related cognitive diseases. BioMedCentral Geriatrics, 8, 7.CrossRefGoogle ScholarPubMed
Shoval, N. and Isaacson, M. 2006. Application of tracking technologies to the study of pedestrian spatial behavior. Professional Geographer, 58, 2, 172–83.Google Scholar
Silverstein, N., Flaherty, G. and Tobin, T. S. 2002. Dementia and Wandering Behavior: Concern for the Lost Elder. Springer Publishing Company, New York.Google Scholar
Spinney, J., Scott, D. M. and Newbold, K. B. 2009. Transport mobility benefits and quality of life: a time-use perspective of elderly Canadians. Transport Policy 16, 1, 111.CrossRefGoogle Scholar
Szalai, A. (ed.)1972. The Use of Time: Daily Activities of Urban and Suburban Populations in Twelve Countries. Mouton, The Hague.Google Scholar
Terrier, P. and Schutz, Y. 2005. How useful is satellite positioning system (GPS) to track gait parameters? A review. Journal of NeuroEngineering and Rehabilitation, 2, 28.CrossRefGoogle ScholarPubMed
Thornton, P. R., Williams, A. M. and Shaw, G. 1997. Revisiting time-space diaries: an exploratory case study of tourist behaviour in Cornwall, England. Environment and Planning A, 29, 10, 1847–67.CrossRefGoogle Scholar
Timmermans, H., Arentze, T. and Joh, C. H. 2002. Analysing space–time behaviour: new approaches to old problems. Progress in Human Geography, 26, 2, 175–90.CrossRefGoogle Scholar
Wahl, H.-W. and Gitlin, L. N. 2007. Environmental gerontology. In Birren, J. E. (ed.), Encyclopedia of Aging. Second edition, Elsevier, Oxford, 494501.Google Scholar
Wahl, H.-W. and Iwarsson, S. 2007. Person–environment relations in old age. In Fernandez-Ballesteros, R. (ed.), Geropsychology: European Perspectives for an Ageing World. Hogrefe, Göttingen, Germany, 4966.Google Scholar
Wahl, H.-W. and Lang, F. 2006. Psychological aging: a contextual view. In Conn, P. M. (eds), Handbook of Models for Human Aging. Elsevier, Amsterdam, 881–95.CrossRefGoogle Scholar
Wahl, H.-W., Mollenkopf, H., Oswald, F. and Claus, C. 2007. Environmental aspects of quality of life in old age: conceptual and empirical issues. In Mollenkopf, H. and Walker, A. (eds), Quality of Life in Old Age: International and Multidisciplinary Perspectives. Springer, Dordrecht, The Netherlands, 101–22.CrossRefGoogle Scholar
Wahl, H.-W. and Oswald, F. 2010. Environmental perspectives on aging. In Dannefer, D. and Phillipson, C. (eds), International Handbook of Social Gerontology. Sage, London, 111–24.CrossRefGoogle Scholar
Winblad, B., Palmer, K., Kivipelto, M., Jelie, V., Fratiglioni, L., Wahlund, L.-O., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., Arai, H., Basun, H., Blennow, K., De Leon, M., Decarli, C., Erkinjuntti, T., Giacobini, E., Graff, C., Hardy, J., Jack, C., Jorm, A., Ritchie, K., Van duijn, C., Visser, P. and Petersen, R. C. 2004. Mild cognitive impairment – beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment. Journal of Internal Medicine, 3, 3, 240–6.CrossRefGoogle Scholar
Wolf, J., Guensler, R. and Bachman, W. H. 2001. Elimination of the travel diary: experiment to derive trip purpose from GPS travel data. Paper presented at the 80th annual meeting of the Transportation Research Board, 7– 11 January, Washington DC.Google Scholar
Zito, R., D'Este, G. and Taylor, M. A. P. 1995. Global positioning in the time domain: how useful a tool for intelligent vehicle-highway systems? Transportation Research, 3C, 4, 193209.Google Scholar