Examining the spatial congruence between data obtained with a novel activity location questionnaire, continuous GPS tracking, and prompted recall surveys

International Journal of Health Geographics

Volumn 12, Issue , 2013, Pages

  Shareck, Martine ^a,b,c   Kestens, Yan ^a,b   Gauvin, Lise ^a,b,c  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b CENTRE HOSPITALIER DE L UNIVERSITÉ DE MONTRÉAL   (Canada)

^c IRSPUM   (Canada)

Author keywords

Activity location questionnaire; Activity space; GPS devices; Mobility; Prompted recall survey; Spatial behaviour

Indexed keywords

ACCURACY ASSESSMENT; GPS; MOBILITY; PHYSICAL ACTIVITY; QUESTIONNAIRE SURVEY; SPATIAL ANALYSIS;

CANADA; MONTREAL; QUEBEC [CANADA];

ADULT; ARTICLE; CROSS-SECTIONAL STUDY; FEMALE; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INFORMATION PROCESSING; MALE; METHODOLOGY; MIDDLE AGED; MOBILE PHONE; PILOT STUDY; QUESTIONNAIRE; STATISTICS;

ADULT; CELLULAR PHONE; CROSS-SECTIONAL STUDIES; DATA COLLECTION; FEMALE; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; MALE; MIDDLE AGED; PILOT PROJECTS; QUESTIONNAIRES; STATISTICS AS TOPIC;

EID: 84883616926     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-12-40     Document Type: Article

References (38)

1. Kwan M-P. Gender differences in space-time constraints. Area 2000, 32:145-156.
2. Chaix B, Merlo J, Evans D, Leal C, Havard S. Neighbourhoods in eco-epidemiologic research: delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur. Soc Sci Med 2009, 69:1306-1310.
3. Hurvitz PM, Moudon AV. Home versus nonhome neighborhood: quantifying differences in exposure to the built environment. Am J Prev Med 2012, 42:411-417.
4. Kestens Y, Lebel A, Daniel M, Theriault M, Pampalon R. Using experienced activity spaces to measure foodscape exposure. Health Place 2010, 16:1094-1103.
5. Setton E, Marshall JD, Brauer M, Lundquist KR, Hystad P, Keller P, Cloutier-Fisher D. The impact of daily mobility on exposure to traffic-related air pollution and health effect estimates. J Expo Sci Environ Epidemiol 2011, 21:42-48.
6. Zenk SN, Schulz AJ, Matthews SA, Odoms-Young A, Wilbur J, Wegrzyn L, Gibbs K, Braunschweig C, Stokes C. Activity space environment and dietary and physical activity behaviors: a pilot study. Health Place 2011, 17:1150-1161.
7. Inagami S, Cohen DA, Finch BK. Non-residential neighborhood exposures suppress neighborhood effects on self-rated health. Soc Sci Med 2007, 65:1779-1791.
8. Spielman SE, Yoo EH. The spatial dimensions of neighborhood effects. Soc Sci Med 2009, 68:1098-1105.
9. Kwan MP. The uncertain geographic context problem. Ann Assoc Am Geogr 2012, 102:958-968.
10. Golledge RG, Stimson RJ. Activities in time and space. Spatial behavior: a geographic perspective 1997, 620. New York: Guilford Press.
11. Schönfelder S, Axhausen KW. Structure and innovation of human activity spaces 2004, Zurich: Institute for Transport Planning and Systems and Swiss Federal Insitute of Technology Zurich.
12. Bohte W, Maat K. 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 2009, 17:285-297.
13. Newsome TH. Urban activity spaces - illustrations and application of a conceptual model for integrating the time and space dimensions. Transportation 1998, 25:357-377.
14. Song C, Qu Z, Blumm N, Barabasi AL. Limits of predictability in human mobility. Science 2010, 327:1018-1021.
15. Wiehe SE, Carroll AE, Liu GC, Haberkorn KL, Hoch SC, Wilson JS, Fortenberry JD. Using GPS-enabled cell phones to track the travel patterns of adolescents. Int J Health Geogr 2008, 7:22.
16. Wiehe SE, Hoch SC, Liu GC, Carroll AE, Wilson JS, Fortenberry JD. Adolescent travel patterns: pilot data indicating distance from home varies by time of day and day of week. J Adolesc Health 2008, 42:418-420.
17. Gonzalez MC, Hidalgo CA, Barabasi AL. Understanding individual human mobility patterns. Nature 2008, 453:779-782.
18. 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.
19. Thierry B, Chaix B, Kestens Y. Detecting activity locations from raw GPS data: A novel kernel-based algorithm. Int J Health Geogr 2013, 12:14.
20. Foley DL. The use of local facilities in a Metropolis. Am J Sociol 1950, 56:238-246.
21. Sherman JE, Spencer J, Preisser JS, Gesler WM, Arcury TA. A suite of methods for representing activity space in a healthcare accessibility study. Int J Health Geogr 2005, 4:24.
22. Vallee J, Cadot E, Grillo F, Parizot I, Chauvin P. The combined effects of activity space and neighbourhood of residence on participation in preventive health-care activities: the case of cervical screening in the Paris metropolitan area (France). Health Place 2010, 16:838-852.
23. Mason M, Cheung I, Walker L. Substance use, social networks, and the geography of urban adolescents. Subst Use Misuse 2004, 39:1751-1777.
24. Macintyre S, Ellaway A. Social and local variations in the use of urban neighbourhoods: a case study in Glasgow. Health Place 1998, 4:91-94.
25. Chaix B, Kestens Y, Perchoux C, Karusisi N, Merlo J, Labadi K. An interactive mapping tool to assess individual mobility patterns in neighborhood studies. Am J Prev Med 2012, 43:440-450.
26. Goldberg DW, Cockburn MG. The effect of administrative boundaries and geocoding error on cancer rates in California. Spatial and Spatio-temporal Epidemiology 2012, 3:39-54.
27. Secrétariat aux enquêtes Origine-Destination métropolitaines Enquête Origine-Destination 2008: La mobilité des personnes dans la région de Montréal 2008, Montréal: Agence métropolitaine de transport, Secrétariat aux enquêtes Origine-Destination métropolitaines.
28. Statistics Canada Time spent on various activities, by sex [http://www.statcan.gc.ca/tables-tableaux/sum-som/l01/cst01/famil36a-eng.htm], Statistics Canada.
29. Bureau of Labor Statistics American Time Use Survey [http://www.bls.gov/tus/charts/students.htm], Bureau of Labor Statistics.
30. Mason MJ. Attributing activity space as risky and safe: the social dimension to the meaning of place for urban adolescents. Health Place 2010, 16:926-933.
31. Axhausen KW, Zimmermann A, Schönfelder S, Rindsfüser G, Haupt T. Observing the rhythms of daily life: a six-week travel diary. Transportation 2002, 29:95-124.
32. Crocker L, Algina J. Introduction to classical and modern test theory 1986, New York: Holt, Rinehart, and Winston.
33. Fuller D, Gauvin L, Kestens Y, Daniel M, Fournier M, Morency P, Drouin L. Use of a new public bicycle share program in Montreal, Canada. Am J Prev Med 2011, 41:80-83.
34. Batch geocodeur [http://www.batchgeocodeur.mapjmz.com/], Batch geocodeur.
35. Buliung RN, Roorda MJ, Remmel TK. Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto travel-activity panel survey (TTAPS). Transportation 2008, 35:697-722.
36. Stopher PR, Greaves SP. Household travel surveys: where are we going?. Transportation Research Part A: Policy and Practice 2007, 41:367-381.
37. Jacquez GM. A research agenda: does geocoding positional error matter in health GIS studies?. Spat Spatiotemporal Epidemiol 2012, 3:7-16.
38. Morency C, Paez A, Roorda MJ, Mercado R, Farber S. Distance traveled in three Canadian cities: spatial analysis from the perspective of vulnerable population segments. J Transp Geogr 2011, 19:39-50.