Manhattan Food Bank Optimization
This GIS project analyzes the most effective locations for establishing new food banks across Manhattan by combining population density, existing food bank sites, and public transit accessibility. Using open data from Esri NYC Office, the New York City Department of Sanitation, HRA Emergency Food Program, and GetFoodNYC, the project visualizes community need while emphasizing accessibility for low-income families. The analysis provides a data-driven approach to food security planning in one of the nation’s most densely populated cities.
Key Metrics
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Integrated 2019 NYC population by generation with existing emergency food program datasets.
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Mapped existing food banks against underserved neighborhoods using ArcGIS.
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Included bus and subway routes to measure accessibility by public transit.
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Applied spatial analysis to propose ideal new food bank locations.
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Designed clear maps and legends to visualize need and accessibility for decision-making.
Data Sources:
Tools Used:


Date:
November 2021
Insights
Community
How can health and school nutrition data help identify vulnerable populations that would benefit most from food banks?
Urban Planning
How does population density influence the demand for new food bank sites?
Assistance
Where should resources be prioritized to maximize community impact and accessibility?

Certifications
Through Esri’s Basics of Map Projections course, Allison deepened her knowledge of cartographic principles that underpin modern GIS work. By exploring how projections shape the accuracy and interpretation of maps, she expanded her skills in transforming raw geographic data into clear, reliable visual narratives.
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