Journal article
SNAPScapes: Using Geodemographic Segmentation to Classify the Food Access Landscape
Urban science, v 2(3), p71
01 Sep 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Scholars are in agreement that the local food environment is shaped by a multitude of factors from socioeconomic characteristics to transportation options, as well as the availability and distance to various food establishments. Despite this, most place-based indicators of "food deserts", including those identified as so by the US Department of Agriculture (USDA), only include a limited number of factors in their designation. In this article, we adopt a geodemographic approach to classifying the food access landscape that takes a multivariate approach to describing the food access landscape. Our method combines socioeconomic indicators, distance measurements to Supplemental Nutrition Assistance Program (SNAP) participating stores, and neighborhood walkability using a k-means clustering approach and North Carolina as a case study. We identified seven distinct food access types: three rural and four urban. These classes were subsequently prioritized based on their defining characteristics and specific policy recommendations were identified. Overall, compared to the USDA's food desert calculation, our approach identified a broader swath of high-needs areas and highlights neighborhoods that may be overlooked for intervention when using simple distance-based methods.
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Details
- Title
- SNAPScapes: Using Geodemographic Segmentation to Classify the Food Access Landscape
- Creators
- Elizabeth Major - University of North Carolina at CharlotteElizabeth Delmelle - University of North Carolina at CharlotteEric Delmelle - University of North Carolina at Charlotte
- Publication Details
- Urban science, v 2(3), p71
- Publisher
- Mdpi
- Number of pages
- 20
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000621632500021
- Other Identifier
- 991021874423804721
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Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Environmental Sciences
- Environmental Studies
- Geography
- Regional & Urban Planning
- Urban Studies