IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i11p2443-d179998.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/11/2443/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/11/2443/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hone-Jay Chu & Yi-Chin Chen, 2018. "Crowdsourcing photograph locations for debris flow hot spot mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(3), pages 1259-1276, February.
    2. Andreas Spitz & Emőke-Ágnes Horvát, 2014. "Measuring Long-Term Impact Based on Network Centrality: Unraveling Cinematic Citations," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
    3. Xiaoshu Cao & Feiwen Liang & Huiling Chen & Yongwei Liu, 2017. "Circuity Characteristics of Urban Travel Based on GPS Data: A Case Study of Guangzhou," Sustainability, MDPI, vol. 9(11), pages 1-21, November.
    4. Abolghasem Sadeghi-Niaraki & Mohammadreza Jelokhani-Niaraki & Soo-Mi Choi, 2020. "A Volunteered Geographic Information-Based Environmental Decision Support System for Waste Management and Decision Making," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    5. Jan C. Semenza, 2015. "Prototype Early Warning Systems for Vector-Borne Diseases in Europe," IJERPH, MDPI, vol. 12(6), pages 1-19, June.
    6. Barbosu, Sandra & Gans, Joshua S., 2022. "Storm crowds: Evidence from Zooniverse on crowd contribution design," Research Policy, Elsevier, vol. 51(1).
    7. Jan C. Semenza, 2014. "Climate Change and Human Health," IJERPH, MDPI, vol. 11(7), pages 1-7, July.
    8. Tijana Đorđević & Nemanja Tomić & Dajana Tešić, 2023. "Walkability and Bikeability for Sustainable Spatial Planning in the City of Novi Sad (Serbia)," Sustainability, MDPI, vol. 15(4), pages 1, February.
    9. Xiping Yang & Zhixiang Fang & Ling Yin & Junyi Li & Yang Zhou & Shiwei Lu, 2018. "Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    10. Albina Mościcka & Krzysztof Pokonieczny & Anna Wilbik & Jakub Wabiński, 2019. "Transport Accessibility of Warsaw: A Case Study," Sustainability, MDPI, vol. 11(19), pages 1-21, October.
    11. Paul D. Juarez & Patricia Matthews-Juarez & Darryl B. Hood & Wansoo Im & Robert S. Levine & Barbara J. Kilbourne & Michael A. Langston & Mohammad Z. Al-Hamdan & William L. Crosson & Maurice G. Estes &, 2014. "The Public Health Exposome: A Population-Based, Exposure Science Approach to Health Disparities Research," IJERPH, MDPI, vol. 11(12), pages 1-30, December.
    12. Frajer, Jindřich & Fiedor, David, 2021. "A historical curiosity or a source of accurate spatial information on historical land use? The issue of accuracy of old cadastres in the example of Josephian Cadastre from the Habsburg Empire," Land Use Policy, Elsevier, vol. 100(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:11:p:2443-:d:179998. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.