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    A Site Suitability Analysis to Reduce Lead Poisoning Through Small-Scale Retail in Syracuse, NY

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    MS-GIST_2022_Hernandez.pdf
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    Description:
    MS-GIST Report
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    Author
    Hernandez, Erika
    Issue Date
    2022-05
    Keywords
    blood lead
    food desert
    overlay weighted model
    GIS
    Boolean logic
    multi-criteria analysis
    site suitability
    Advisor
    Mason, Jennifer
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Collection Information
    This item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu.
    Abstract
    Syracuse, New York has been fighting an uphill battle against lead. It’s in their homes, soil, and water and disproportionately affects lower-income communities. Children are especially sensitive before the age of 6, experiencing decreased cognitive function, reduced motor control, developmental disabilities, and death, among others. 12 percent of children in Syracuse tested positive for elevated blood lead levels, four times the national average. Diet can help combat lead contamination by increasing iron levels. Iron and lead bind to the same transport protein in the small intestine where metals are absorbed into the bloodstream. With only 77 grocery stores to cover 25.5 square miles and over 140,000 people, Syracuse’s residents may rely on convenience stores, dollar stores, and fast-food restaurants to pick up the slack. Combating food insecurity may be possible by targeting food deserts and increasing access to healthy foods. To find the areas where small-scale retail would benefit the most, a Boolean Suitability Analysis was used to find food deserts using poverty levels, minority status, population density, existing grocery stores, and vacant lot parcel data. A Weighted Linear Combination Suitability Analysis found the locations that ranked higher for the intersection of food deserts, childhood elevated blood lead levels, current lead violations, and tracts with high numbers of children under 5-years-old. Of the 165 locations from the resulting analysis, 65 locations ranked between medium and high suitability. This analysis will help local officials, community leaders, and non-profit organizations determine where to combat food deserts and elevated blood lead levels in children.
    Type
    Electronic Report
    text
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Geographic Information Systems Technology
    Degree Grantor
    University of Arizona
    Collections
    MS-GIST (Master's Reports)

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