American Journal of Community Psychology · 2012 · 214 citations · 29 references
Social SciencesGeographyHuman GeographyGeographic Information SystemsNeighborhood StudiesSpatial AnalysisCensus GeographyNeighborhood AnalysisNeighborhood DemographyNeighborhood DevelopmentNeighborhood FormNeighborhood StructureCensus Tract AnalysisGeographic Information System DataLow IncomeNeighborhood Change Over TimeNeighborhood ContextsNeighborhood ImprovementPerceived Neighborhood Quality
Neighborhoods are central to health‑disparity research, yet most studies simplify boundaries by using census geography, which may misrepresent residents’ lived spaces. The study aims to show that GIS tools can create more authentic neighborhood definitions that better reflect residents’ perceptions. Using GIS, the authors collected and analyzed resident‑drawn neighborhood maps from low‑income communities across ten cities. Resident maps were on average 30 % smaller than census tracts, with 25 % seeing their neighborhood as very small, and multilevel analysis revealed that longer‑term, higher‑educated, and more engaged residents perceived larger neighborhoods, while higher density and mixed use areas were linked to smaller perceived scales and higher collective efficacy to larger scales.
Neighborhood is a social and geographic concept that plays an increasingly important role in research and practice that address disparities in health and well-being of populations. However, most studies of neighborhoods, as well as community initiatives geared toward neighborhood improvement, make simplifying assumptions about boundaries, often relying on census geography to operationalize the neighborhood units. This study used geographic information system (GIS) tools to gather and analyze neighborhood maps drawn by residents of low-income communities in 10 cities. The median resident map size was approximately 30 percent smaller than the median census tract, but 25 percent of residents viewed their neighborhood as quite small (less than one-fifth of the typical census tract). Multi-level modeling showed significant within context variation in perceived neighborhood scale. Longer term residents with higher education and income and who were more engaged in the neighborhood held more expansive views. But there were also contextual influences with higher density and mixed use areas associated with smaller perceived neighborhoods, and higher collective efficacy associated with larger neighborhood sizes. Artificially imposed neighborhood units may misrepresent resident experience, but GIS tools can be used to craft more authentic neighborhood definitions for research and practice.
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