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Cited by 358

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Beyond Food Deserts: Measuring and Mapping Racial Disparities in Neighborhood Food Environments

Raja, Samina, Changxing Ma, Yadav, Pavan·2008·Journal of Planning Education and Research

Abstract

Given the emerging focus on improving food environments and food systems through planning, this article investigates racial disparities in neighborhood food environments. An empirical case of Erie County, New York tests the hypothesis that people belonging to different racial groups have access to different neighborhood food destinations. Using multiple methods—Gini coefficients and Poisson regression—we show that contrary to studies elsewhere in the country there are no food deserts in Erie County. However, like other studies, we find an absence of supermarkets in neighborhoods of color when compared to white neighborhoods. Nonetheless, our study reveals an extensive network of small grocery stores in neighborhoods of color. Rather than soliciting supermarkets, supporting small, high-quality grocery stores may be a more efficient strategy for ensuring access to healthful foods in minority neighborhoods.

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Metadata

Authors
Raja, S., Ma, C., & Yadav, P.
Venue
Journal of Planning Education and Research
Published
2008-01-24
Volume
27
Issue
4
Pages
469-482
ISSN
  • 0739-456X (ISSN-L)
  • 1552-6577
OpenAlex
W2132563096
Cited by
358
References
22
FWCI
27.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Beyond Food Deserts: Measuring and Mapping Racial Disparities in Neighborhood Food Environments. https://app.cochat.ai/papers/10.1177/0739456x08317461
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Raja, S., Ma, C., & Yadav, P. (2008). Beyond Food Deserts: Measuring and Mapping Racial Disparities in Neighborhood Food Environments. Journal of Planning Education and Research. https://doi.org/10.1177/0739456x08317461

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.