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Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts Bern Region and South Israel as a Case Study

机译:在环境暴露评估研究中使用开放街道地图数据:马萨诸塞州东部伯尔尼地区和以色列南部为例

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摘要

There is an increase in the awareness of the importance of spatial data in epidemiology and exposure assessment (EA) studies. Most studies use governmental and ordnance surveys, which are often expensive and sparsely updated, while in most developing countries, there are often no official geo-spatial data sources. OpenStreetMap (OSM) is an open source Volunteered Geographic Information (VGI) mapping project. Yet very few environmental epidemiological and EA studies have used OSM as a source for road data. Since VGI data is either noncommercial or governmental, the validity of OSM is often questioned. We investigate the robustness and validity of OSM data for use in epidemiological and EA studies. We compared OSM and Governmental Major Road Data (GRD) in three different regions: Massachusetts, USA; Bern, Switzerland; and Beer-Sheva, South Israel. The comparison was done by calculating data completeness, positional accuracy, and EA using traditional exposure methods. We found that OSM data is fairly complete and accurate in all regions. The results in all regions were robust, with Massachusetts showing the best fits (R2 0.93). Results in Bern (R2 0.78) and Beer-Sheva (R2 0.77) were only slightly lower. We conclude by suggesting that OSM data can be used reliably in environmental assessment studies.
机译:人们越来越认识到空间数据在流行病学和暴露评估(EA)研究中的重要性。大多数研究使用政府和军械调查,这通常是昂贵的并且很少进行更新,而在大多数发展中国家,通常没有官方的地理空间数据源。 OpenStreetMap(OSM)是一个开源的自愿地理信息(VGI)映射项目。但是,很少有环境流行病学和EA研究使用OSM作为道路数据的来源。由于VGI数据是非商业性的或政府的,因此OSM的有效性经常受到质疑。我们调查流行病学和EA研究中使用OSM数据的鲁棒性和有效性。我们比较了三个不同地区的OSM和政府主要道路数据(GRD):美国马萨诸塞州;瑞士伯尔尼;和以色列南部的比尔谢瓦。比较是通过使用传统的曝光方法计算数据完整性,位置精度和EA来完成的。我们发现OSM数据在所有地区都相当完整和准确。在所有地区的结果都很可靠,马萨诸塞州表现出最佳拟合(R 2 0.93)。 Bern(R 2 0.78)和Beer-Sheva(R 2 0.77)的结果仅略低。最后,我们建议OSM数据可以在环境评估研究中可靠地使用。

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