Research and practice methodAn Interactive Mapping Tool to Assess Individual Mobility Patterns in Neighborhood Studies
Introduction
Neighborhood and health studies have focused on the environmental correlates of diseases.1, 2, 3 However, despite refinements to assess residential environments (e.g., in circular or street network areas centered on the residence; with geographic databases, audits, or survey of residents),4, 5 studies have not taken into account, with few exceptions,6, 7, 8, 9 individuals' nonresidential activity places.1, 4, 10, 11, 12, 13, 14, 15 The result has been a mischaracterization of environmental exposures.16
A recent review1 of studies on cardiometabolic outcomes indicated that as much as 90% of the 131 reviewed studies accounted only for the residential environment; 6% took into account only nonresidential exposures (e.g., workplace or school); and only 4% accounted for both residence and another “anchor” point. This failure to take into account an individual's intimate connection with multiple geographic places (or spatial polygamy)15, 17 is one of the main limitations of neighborhood and health studies.13, 18 Accounting for daily mobility patterns and activity spaces is important for health promotion, as it allows identification of low-mobility populations with access to only low-resource/high-exposure residential environments and mobile populations traveling across exclusively low-resource environments; accurate assessment of environmental exposures in multiple activity places; and determination of appropriate activity places (e.g., residence or workplace) for targeting specific interventions.
To aid in developing a new generation of neighborhood and health studies that fully account for individual mobility patterns, the present article first describes the VERITAS application (Visualization and Evaluation of Route Itineraries, Travel Destinations, and Activity Spaces), a tool for researchers to geolocate individuals' activity places, routes between locations, and area delimitations of interest. Second, the paper attempts to formalize the theoretic grounds of a contextual expology (Table 1) and discusses methodologic challenges related to the assessment of “spatial behavior” (individual patterns of movement in space) and multiplace environmental exposures.
Section snippets
An Interactive Geolocation Survey Tool
The VERITAS application relies on a questionnaire-form builder that allows development of custom strategies to collect spatial information. For ease of presentation, VERITAS is described using the example of the VERITAS-RECORD (Residential Environment and CORonary Heart Disease) questionnaire designed for the RECORD Study,25, 26, 27, 28, 29, 30, 31 which focuses on relationships among geographic life environments, individual mobility, and risk factors for cardiovascular disease. VERITAS-RECORD,
Accounting for Daily Mobility in Contextual Expology: Opportunities and Challenges
As distinct from life-course residential mobility32 (which also can be surveyed using VERITAS), daily mobility is defined as the everyday movement of individuals over space between activity places. Daily mobility is of interest in environment–health research,11 as both a potential source of transportation-related physical activity33, 34 and as a vector of exposure to geographic environments.12, 16, 35, 36, 37, 38 A diagram and accompanying text depicting the “environment, mobility, and health”
Characterizing Spatial Behavior
It is of general interest in neighborhood and health studies to characterize individuals' spatial behavior (frequency and spatial patterns of mobility).8 The extent to which individuals' daily trajectories are circumscribed by residential neighborhoods likely modifies residential neighborhood influences, with weaker effects expected for mobile populations.49 This fact may explain why specific groups (e.g., seniors, the disadvantaged) are more sensitive to residential neighborhood exposures. In
Deriving Indicators of Environmental Exposure: Moving Toward a Contextual Expology
Recent work promotes improved measurement of neighborhood characteristics with random-effect modeling of survey/audit data58 or GIS (a field referred to here as to ecometrics).59 Whereas ecometrics focuses on the content of exposures,4 there is a need to develop a contextual expology (Table 1) as another subdiscipline focusing on the spatiotemporal configuration of exposures. Such a focus will allow researchers to define multiplace or activity space–bounded measures of exposure.38
A contextual
Deciding Which Locational Information to Retain/Discard for Exposure Assessment
A relevant distinction when selecting locational information for exposure assessment is whether the focus is on direct effects of environmental hazards on health or on the influence of accessibility to environmental resources on health behavior. For assessments of accessibility to environmental resources that influence behavior, it is critical to exclude from the set of locations considered for measurement places that people intentionally go to for doing an activity related to the behavior
Transformation of Raw Data to Define the Spatial Basis of Measurement
Convex activity-space polygons (ellipses or convex envelopes derived from all activity places collected in VERITAS-RECORD) are likely not appropriate for assessing exposures. Even after elimination of outliers,53 a convex activity-space polygon based on all travel destinations and routes often does not reflect the territories that are familiar to an individual50: such a polygon may indeed encompass areas to which the individual does not go38 (Figure 3).
Rather than using overly broad convex
Conclusion
The VERITAS application and related theoretic considerations aim to help foster a next generation of studies, with refined research questions, novel data, and a fresh set of analytic strategies. Such developments can contribute to a paradigm shift from the “neighborhood and health” classical dyad to a “neighborhoods, mobility, and health” triad. These more realistic empirical models of contextual/ecologic determinants of health that integrate rich information on individual spatial behavior will
References (64)
- et al.
Non-residential neighborhood exposures suppress neighborhood effects on self-rated health
Soc Sci Med
(2007) - et al.
You are where you shop: grocery store locations, weight, and neighborhoods
Am J Prev Med
(2006) - et al.
Conceptualizing the healthscape: contributions of time geography, location technologies and spatial ecology to place and health research
Soc Sci Med
(2010) - et al.
Using experienced activity spaces to measure foodscape exposure
Health Place
(2010) - et al.
Neighbourhoods in eco-epidemiologic research: delimiting personal exposure areasA response to Riva, Gauvin, Apparicio and Brodeur
Soc Sci Med
(2009) From place-based to people-based exposure measures
Soc Sci Med
(2009)The salience of neighborhood: some lessons from sociology
Am J Prev Med
(2008)- et al.
Activity space environment and dietary and physical activity behaviors: a pilot study
Health Place
(2011) - et al.
Active commuting and cardiovascular risk: a meta-analytic review
Prev Med
(2008) - et al.
Applying GPS to enhance understanding of transport-related physical activity
J Sci Med Sport
(2009)
GIS or GPS?A comparison of two methods for assessing route taken during active transport
Am J Prev Med
The built environment and location-based physical activity
Am J Prev Med
Using GPS in health research: a practical approach to data collection and processing
Am J Prev Med
Use of global positioning systems to study physical activity and the environment: a systematic review
Am J Prev Med
Mapping the walk to school using accelerometry combined with a global positioning system
Am J Prev Med
Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: a large-scale application in the Netherlands
Transp Res Part C
Neighbourhood inequalities in health and health-related behaviour: results of selective migration?
Health Place
The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology
Soc Sci Med
Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?
Soc Sci Med
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
Activity spaces: measures of social exclusion?
Transport Policy
The uses of spatial analysis in medical geography: a review
Soc Sci Med
A GIS toolkit for exploring geographies of household activity/travel behavior
J Transp Geogr
Understanding the experience of place: expanding methods to conceptualize and measure community integration of persons with serious mental illness
Health Place
The spatial dimensions of neighborhood effects
Soc Sci Med
Social inequalities in food exposure around schools in an urban area
Am J Prev Med
The influence of geographic life environments on cardiometabolic risk factors: a systematic review, a methodological assessment and a research agenda
Obes Rev
Toward the next generation of research into small area effects on health: a synthesis of multilevel investigations
J Epidemiol Community Health
Individual and collective bodies: using measures of variance and association in contextual epidemiology
J Epidemiol Community Health
Geographic life environments and coronary heart disease: a literature review, theoretical contributions, methodological updates, and a research agenda
Annu Rev Public Health
Neighborhoods and health
Ann N Y Acad Sci
A suite of methods for representing activity space in a healthcare accessibility study
Int J Health Geogr
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