Compliance and data quality in GPS-based studies

Recent years have witnessed a growing volume of papers describing the use of GPS technology and other tracking technologies for obtaining data on time–space activities. These methods have several advantages over traditional methods of time–space data collection in terms of accuracy, resolution and length of the possible data collection period. However, to date, no work has been done on the compliance rates among participants and the resulting validity of the collected data. This paper presents a method that combines the use of a GPS receiver with Radio Frequency Identification (RFID) technology that was implemented in research on time–space activities of elderly persons with cognitive impairment. The method presented in this paper enables monitoring the level of compliance of the participants during their participation in the study and presents a unique opportunity to examine the extent to which participants in a GPS based study are able to comply with study requirements. Healthy older adults and those with cognitive decline were found to be generally compliant with a complex study protocol. These results serve as another step into the acceptance of GPS based studies as a valid methodology for mobility data collection.

[1]  F. Oswald,et al.  The use of advanced tracking technologies for the analysis of mobility in Alzheimer's disease and related cognitive diseases , 2008, BMC geriatrics.

[2]  Michael F. Goodchild,et al.  Space-Time Diaries and Travel Characteristics for Different Levels of Respondent Aggregation , 1988 .

[3]  Chandra R. Bhat,et al.  An analysis of the factors influencing differences in survey-reported and GPS-recorded trips , 2012 .

[4]  Kay W. Axhausen,et al.  Fatigue in long-duration travel diaries , 2007 .

[5]  Noam Shoval,et al.  Tracking technologies and urban analysis , 2008 .

[6]  F. Miskelly A novel system of electronic tagging in patients with dementia and wandering. , 2004, Age and ageing.

[7]  Kay W. Axhausen,et al.  Fatigue in long-duration travel diary surveys , 2005 .

[8]  Peter R. Stopher,et al.  In-Depth Comparison of Global Positioning System and Diary Records , 2011 .

[9]  M. Goodchild,et al.  The City around the Clock: Space—Time Patterns of Urban Ecological Structure , 1984 .

[10]  R. Lynch,et al.  Use of global positioning system technology to track subject's location during environmental exposure sampling , 2001, Journal of Exposure Analysis and Environmental Epidemiology.

[11]  Noam Shoval,et al.  The shoemaker's son always goes barefoot: Implementations of GPS and other tracking technologies for geographic research , 2014 .

[12]  K. Axhausen,et al.  Observing the rhythms of daily life , 2000 .

[13]  F. Miskelly Electronic tracking of patients with dementia and wandering using mobile phone technology. , 2005, Age and ageing.

[14]  J. Xia,et al.  The wayfinding process relationships between decision-making and landmark utility. , 2008 .

[15]  Philippe Terrier,et al.  How useful is satellite positioning system (GPS) to track gait parameters? A review , 2005, Journal of NeuroEngineering and Rehabilitation.

[16]  R. Petersen,et al.  Mild cognitive impairment , 2006, The Lancet.

[17]  Pierre Abraham,et al.  Measurement of Walking Distance and Speed in Patients With Peripheral Arterial Disease: A Novel Method Using a Global Positioning System , 2008, Circulation.

[18]  Peter Vovsha,et al.  Global Positioning System–Assisted Prompted Recall Household Travel Survey to Support Development of Advanced Travel Model in Jerusalem, Israel , 2011 .

[19]  J. Fortenberry,et al.  Adolescent travel patterns: pilot data indicating distance from home varies by time of day and day of week. , 2008, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[20]  J Anderson,et al.  Space-Time Budgets and Activity Studies in Urban Geography and Planning , 1971 .

[21]  Werner Brög,et al.  Immobility in travel diary surveys , 2006 .

[22]  J. Wolf Applications of New Technologies in Travel Surveys , 2006 .

[23]  N. Shoval,et al.  Application of Tracking Technologies to the Study of Pedestrian Spatial Behavior* , 2006 .

[24]  Roger Mackett,et al.  Setting Children Free: Children’s Independent Movement in the Local Environment , 2007 .

[25]  Kai Elgethun,et al.  Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument. , 2003, Environmental health perspectives.

[26]  Perry O. Hanson,et al.  THE TRAVEL-ACTIVITY PATTERNS OF URBAN RESIDENTS: DIMENSIONS AND RELATIONSHIPS TO SOCIODEMOGRAPHIC CHARACTERISTICS , 1981 .

[27]  P. Thornton,et al.  Revisiting Time—Space Diaries: An Exploratory Case Study of Tourist Behaviour in Cornwall, England , 1997 .