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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

Author

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  • Itai Kloog

    (Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel)

  • Lara Ifat Kaufman

    (Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel)

  • Kees De Hoogh

    (Environmental Exposure and Health Unit, Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Switzerland
    Epidemiology and Public Health, Socinstrasse 57, Basel University of Basel, 4002 Basel, Switzerland)

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 (R 2 0.93). Results in Bern (R 2 0.78) and Beer-Sheva (R 2 0.77) were only slightly lower. We conclude by suggesting that OSM data can be used reliably in environmental assessment studies.

Suggested Citation

  • Itai Kloog & Lara Ifat Kaufman & Kees De Hoogh, 2018. "Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study," IJERPH, MDPI, vol. 15(11), pages 1-21, November.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:11:p:2443-:d:179998
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    References listed on IDEAS

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    1. Amin Mobasheri & Yeran Sun & Lukas Loos & Ahmed Loai Ali, 2017. "Are Crowdsourced Datasets Suitable for Specialized Routing Services? Case Study of OpenStreetMap for Routing of People with Limited Mobility," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    2. Linda See & Alexis Comber & Carl Salk & Steffen Fritz & Marijn van der Velde & Christoph Perger & Christian Schill & Ian McCallum & Florian Kraxner & Michael Obersteiner, 2013. "Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
    3. Gordon L. Nichols & Yvonne Andersson & Elisabet Lindgren & Isabelle Devaux & Jan C. Semenza, 2014. "European Monitoring Systems and Data for Assessing Environmental and Climate Impacts on Human Infectious Diseases," IJERPH, MDPI, vol. 11(4), pages 1-43, April.
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    Cited by:

    1. Saturnino Luz & Masood Masoodian, 2022. "Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive Maps," Sustainability, MDPI, vol. 14(16), pages 1-19, August.

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