BACKGROUND The Greater Pittsburgh Community Food Bank (GPCFB) developed the Green Grocer mobile food market to address limited access to fresh, affordable food options in local communities. GPCFB and researchers from the University of Pittsburgh established a partnership for Green Grocer implementation and evaluation, including application of geospatial techniques to help identify locations of stops for Green Grocer. OBJECTIVES We used geospatial analyses to identify locations in Allegheny County with limited food access as potential stops for the Green Grocer mobile food market. METHODS Using census, county, city, and public health data, we conducted a spatial overlay analysis based on five key metrics: poverty/income rates, Supplemental Nutrition Assistance Program (SNAP) use, obesity rates, grocery/supermarket access, and mass transit access. We first defined our base target areas by finding the intersection of tracts with high rates of poverty, SNAP use, and obesity. To obtain our final recommended target neighborhoods, we then calculated the symmetric difference between these base target areas and areas of low grocery access and transit use. RESULTS As identified from our overlay analysis, six neighborhoods became the targeted pilot sites for Green Grocer. These particular communities had higher poverty rates than Pittsburgh, Allegheny County, and Pennsylvania averages. A separate pilot evaluation was conducted after the initial sites were selected to examine additional population characteristics and to help determine any modifications to the program. CONCLUSIONS Geospatial overlay analysis identified key locations to help the GPCFB target allocation of fresh food and produce. When used in tandem with other programmatic information and processes, this data-driven approach was essential in the development and identification of distribution of resources.

中文翻译：

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绿色食品杂货商：使用空间分析来确定移动食品市场的位置。

背景技术大匹兹堡社区食品银行（GPCFB）开发了Green Grocer移动食品市场，以解决当地社区对新鲜，负担得起的食品选择的有限获取的问题。GPCFB和匹兹堡大学的研究人员建立了绿色食品杂货商实施和评估合作伙伴关系，包括应用地理空间技术来帮助确定绿色食品杂货商的停靠点。目标我们使用地理空间分析来确定食品供应有限的阿勒格尼县的位置，以此作为绿色食品杂货店移动食品市场的潜在停靠点。方法使用人口普查，县，市和公共卫生数据，我们基于五个关键指标进行了空间覆盖分析：贫困/收入率，补充营养援助计划（SNAP）使用，肥胖率，杂货/超市准入和大众运输访问。我们首先通过找到贫困率高，使用SNAP和肥胖症的人群相交来定义基本目标区域。为了获得最终建议的目标邻里，我们然后计算了这些基本目标区域与杂货少和过境使用率低的区域之间的对称差异。结果从覆盖分析中可以看出，六个社区成为Green Grocer的目标试点。这些特定社区的贫困率高于匹兹堡，阿勒格尼县和宾夕法尼亚州的平均水平。在选择最初的地点之后，进行了单独的试点评估，以检查其他人口特征并帮助确定对该计划的任何修改。结论地理空间覆盖分析确定了关键位置，以帮助GPCFB目标分配新鲜食品和农产品。