CUNY Graduate School of Public Health and Health Policy, Department of Health Policy & Management, 55 W 125th Street, Room 605, New York City, New York, 10027, United States.
Department of Geography & Planning, University of Toronto, 100 St. George Street, Room 5047, Toronto, Ontario, M5S 3G3, Canada.
Health Place. 2020 Mar;62:102291. doi: 10.1016/j.healthplace.2020.102291. Epub 2020 Feb 10.
Google Street View (GSV) images can be used to "ground-truth" current and historical food retail data from approximately 2007 - when GSV was launched in a few US cities - to the present, facilitating analyses of food environments over time. A review of GSV images of all food retailers listed in a government database of licensed establishments in the Bronx, New York enabled records to be verified, businesses classified, and retail change quantified. The data revealed several trends likely to affect food access and health: increasing overall numbers of food retailers; the growth of dollar stores; and numerous openings, closings, and ownership changes across all food retail segments. Hot spot analysis identified statistically significant clusters of new dollar stores and bodegas, purveyors of less healthy processed foods, in lower-income neighborhoods in the South Bronx that face elevated rates of diet-related diseases. This article demonstrates the benefits and limitations of using GSV to conduct "virtual" food environment research.
谷歌街景(GSV)图像可用于“实地验证”从大约 2007 年(GSV 在美国几个城市推出之时)至今的当前和历史食品零售数据,从而能够分析食品环境随时间的变化。对纽约布朗克斯政府许可机构数据库中列出的所有食品零售商的 GSV 图像进行审查,能够核实记录、对企业进行分类并量化零售变化。这些数据揭示了一些可能影响食品供应和健康的趋势:食品零售商数量总体增加;美元店的增长;以及所有食品零售领域的大量开业、关闭和所有权变更。热点分析确定了在南布朗克斯低收入社区存在统计学上显著的新美元店和食品杂货店聚集区,这些社区供应更不健康的加工食品,面临与饮食相关疾病的高发率。本文展示了使用 GSV 进行“虚拟”食品环境研究的益处和局限性。