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Secondary GIS built environment data for health research: guidance for data development
Orion T Stewart1, Heather A Carlos2, Chanam Lee3
1Urban Form Lab, College of Built Environments, University of Washington, Seattle, WA, USA.
Geographic Information System (GIS) data offer objective built environment (BE) insights for public health research. However, data inconsistencies require careful management to ensure accuracy and completeness for active living studies.
Area of Science:
- Environmental health
- Geographic Information Systems
- Urban planning
Background:
- Built environment (BE) data in geographic information system (GIS) format are increasingly accessible.
- GIS data offer objective, low-cost, large-region BE data valuable for public health research and surveillance.
- Challenges include data limitations in capturing desired constructs, variable quality, and inconsistencies in definitions and spatial representations.
Purpose of the Study:
- To describe the range of BE characteristics measurable by GIS associated with active living.
- To assess the availability and inconsistencies of GIS BE data across nine U.S. small towns.
- To outline strategies for developing accurate, complete, and consistent GIS BE data for research.
Main Methods:
- Classified objectively measurable BE characteristics related to active living into nine domains based on a conceptual framework and literature.
- Assessed the availability of secondary GIS data for these domains across nine small towns.
- Examined inconsistencies in available GIS BE data, particularly tax parcel data, and explored data manipulation strategies.
Main Results:
- At least some GIS data were available for seven of the nine BE domains across all towns.
- High-resolution or behavioral BE data were often unavailable.
- Available GIS BE data, especially tax parcel data, exhibited varying attributes and detail levels, necessitating careful attention to definitions and spatial representations.
Conclusions:
- Secondary GIS BE data can be made accurate, complete, and consistent for research use, but requires meticulous data management and manipulation.
- Careful attention to the definition and spatial representation of BE characteristics is crucial.
- Protocols facilitate the necessary manipulation of secondary source data for health research.
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