ArticleInternational journal of environmental research and public health2018
Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Spatial Access to Cancer Care Providers in National Cancer Institute-Designated Cancer Center Catchment Areas.JCO clinical cancer informatics · 2026Article
- Evaluation of road infrastructure in Yerevan, Armenia through the lens of pedestrian and child safety: a school-based analysis.International journal of emergency medicine · 2025Article
- Supporting public transit research in healthcare settings: testing a free, fast, and secure method for routing public transit from patient address to the point of care.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- River dataset as a potential fluvial transportation network for healthcare access in the Amazon region.Scientific data · 2023Article
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Authors and funding
3 authors.
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Abstract
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.
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