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首页> 外文期刊>Frontiers in Public Health >Crowdsourced Mapping for Healthy Food Accessibility in Dallas, Texas: A Feasibility Study
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Crowdsourced Mapping for Healthy Food Accessibility in Dallas, Texas: A Feasibility Study

机译：德克萨斯州达拉斯健康食品可访问性的众群测绘：可行性研究

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Since its first use for describing a neighborhood lacking access to food in the 1990's, “food deserts” has been widely addressed by researchers and adopted as an indicator of neighborhood-level food insecurity by governmental agencies, such as USDA. However, mostly due to cost and difficulty in collecting georeferenced data and characteristics of grocery stores, the USDA Food Access Research Atlas is infrequently released, and considers only income, vehicle ownership, and distance to the nearest grocery store. In this paper, we explored the feasibility of a crowdsourced geospatial data source, coupled with additional measures, in supplementing the USDA's current designation of food deserts. We used Yelp data to map food deserts in the city of Dallas and compared them with those based on the 2015 USDA food retailer database. Although direct comparison was not possible due to time mismatch between the two data sources, the discrepancies highlighted the need of a more frequent identification of food deserts for timely policy intervention. Furthermore, we extended mapping to reveal other potential areas of concerns, by adding the Transit Score metric and Yelp's price descriptor of businesses. The resulting maps illustrated the areas with grocery stores nearby but with limited accessibility due to lack of public transit or potential financial barriers in purchasing foods due to high prices. Our findings demonstrate the current status and future potential of up-to-date crowdsourced, georeferenced data as a complement of official government data, which could serve to extend food access research and guide health policies.
机译：自第一次用于描述1990年代缺乏食物的社区的首次用途，“食物沙漠”已被研究人员广泛讨论，并通过政府机构等政府机构等邻里粮食不安全的指标。然而，主要是由于收集地理学店的成本和困难，USDA食品访问研究阿特拉斯很少发布，仅考虑收入，车辆所有权和到最近的杂货店的距离。在本文中，我们探讨了众群地理空间数据源的可行性，加上额外措施，在补充美国农业部的食物沙漠指定。我们使用Yelp数据来映射达拉斯市的食物沙漠，并将其与基于2015年美国农业部食品零售商数据库的人进行比较。虽然由于两种数据源之间的时间不匹配而无法进行直接比较，但差异突出了需要更频繁地识别食物沙漠以进行及时的政策干预。此外，我们通过增加业务的交通评分度量和Yelp的价格描述来扩展映射以揭示其他潜在的担忧区域。由此产生的地图说明了附近的杂货店的区域，但由于缺乏公共交通或潜在的财务障碍而导致由于高价格购买食物的潜在财务障碍。我们的调查结果表明，最新的众包的现状和未来潜力，作为官方政府数据的补充，可用于扩展粮食机关研究和指导卫生政策。

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