Authors: Lan Mu*, University of Georgia
Topics: Medical and Health Geography, Geographic Information Science and Systems, Applied Geography
Keywords: SNAP, neighborhood, GIS
Session Type: Paper
Presentation File: No File Uploaded
Based on demographics and socioeconomic characteristics, ESRI’s Tapestry Segmentation classifies US residential neighborhoods into six urbanization summary groups, 14 LifeMode summary groups, and 67 segments. Each segment has a unique name such as Laptops and Lattes, Dorms to Diplomas, and Soccer Moms. Our previous study calculated travel time and distance from any block group to the most convenient SNAP Office and revealed that urbanity or rurality plays an essential role in SNAP office accessibility and program participation. In this study, we will couple our SNAP travel data to ESRI’s Tapestry Segmentation, in order to build the links between SNAP travel and SNAP participation with Tapestry life modes and segmentations. There are lots of sayings such as “your zip code determines your health,” or “your zip code determines your future.” They all emphasize that the environment can influence an individual’s life to a significant degree. We plan to geographically visualize, analyze and interpret such relationships between residential neighborhoods and SNAP travel and participation. The results are expected to shed light on the geographic configuration and allocation of SNAP administration.