IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v9y2017i4p70-d116194.html
   My bibliography  Save this article

Exploring Data Model Relations in OpenStreetMap

Author

Listed:
  • Hippolyte Pruvost

    (Department of Computer Science, École Polytechnique de l’Université de Nantes, Rue Christian Pauc, 44300 Nantes, France
    These authors contributed equally to this work. This work was carried out at Maynooth University where Mr. Pruvost was a Summer Intern in 2017.)

  • Peter Mooney

    (Department of Computer Science, Eolas Building, North Campus, Maynooth University, W23 F2H6 Maynooth, Ireland)

Abstract

The OpenStreetMap (OSM) geographic data model has three principal object types: nodes (points), ways (polygons and polylines), and relations (logical grouping of all three object types to express real-world geographical relationships). While there has been very significant analysis of OSM over the past decade or so, very little research attention has been given to OSM relations. In this paper, we provide an exploratory overview of relations in OSM for four European cities. In this exploration, we undertake analysis of relations to assess their complexity, composition and flexibility within the OSM data model. We show that some of the patterns discovered by researchers related to OSM nodes and ways also exist in relations. We find some other interesting aspects of relations which we believe can act as a catalyst for a more sustained future research effort on relations in OSM. These aspects include: the potential influence of bulk imports of geographical data to OSM, tagging of relations, and contribution patterns of edits to OSM relations.

Suggested Citation

  • Hippolyte Pruvost & Peter Mooney, 2017. "Exploring Data Model Relations in OpenStreetMap," Future Internet, MDPI, vol. 9(4), pages 1-17, October.
  • Handle: RePEc:gam:jftint:v:9:y:2017:i:4:p:70-:d:116194
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/9/4/70/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/9/4/70/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephan Huber & Christoph Rust, 2016. "Calculate travel time and distance with OpenStreetMap data using the Open Source Routing Machine (OSRM)," Stata Journal, StataCorp LP, vol. 16(2), pages 416-423, June.
    2. Martin Dodge & Rob Kitchin, 2013. "Crowdsourced Cartography: Mapping Experience and Knowledge," Environment and Planning A, , vol. 45(1), pages 19-36, January.
    3. Pascal Neis & Dennis Zielstra & Alexander Zipf, 2013. "Comparison of Volunteered Geographic Information Data Contributions and Community Development for Selected World Regions," Future Internet, MDPI, vol. 5(2), pages 1-19, June.
    4. Peter Mooney & Padraig Corcoran, 2012. "Characteristics of Heavily Edited Objects in OpenStreetMap," Future Internet, MDPI, vol. 4(1), pages 1-21, March.
    5. Pascal Neis & Dennis Zielstra, 2014. "Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap," Future Internet, MDPI, vol. 6(1), pages 1-31, January.
    Full references (including those not matched with items on IDEAS)

    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. Pascal Neis & Dennis Zielstra, 2014. "Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap," Future Internet, MDPI, vol. 6(1), pages 1-31, January.
    2. Alexandra Fedorets & Franziska Lottmann & Michael Stops, 2019. "Job matching in connected regional and occupational labour markets," Regional Studies, Taylor & Francis Journals, vol. 53(8), pages 1085-1098, August.
    3. Mark J Holmes & Jesús Otero & Theodore Panagiotidis, 2018. "Climbing the property ladder: An analysis of market integration in London property prices," Urban Studies, Urban Studies Journal Limited, vol. 55(12), pages 2660-2681, September.
    4. Montag, Felix & Mamrak, Robin & Sagimuldina, Alina & Schnitzer, Monika, 2023. "Imperfect price information, market power, and tax pass-through," Working Papers 337, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    5. Fredriksson, Anders, 2017. "Location-allocation of public services – Citizen access, transparency and measurement. A method and evidence from Brazil and Sweden," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 1-12.
    6. Daniel Avdic & Tugba Bueyuekdurmus & Giuseppe Moscelli & Adam Pilny & Ieva Sriubaite, 2018. "Subjective and objective quality reporting and choice of hospital: Evidence from maternal care services in Germany," CINCH Working Paper Series 1803, Universitaet Duisburg-Essen, Competent in Competition and Health.
    7. Ander Iraizoz & José M Labeaga, 2022. "Incidence and Avoidance Effects of Spatial Fuel Tax Differentials: Evidence using Regional Tax Variation in Spain," Working Papers halshs-03789430, HAL.
    8. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    9. Francisco Manuel Pizzi, 2020. "¿Cuán lejos viajarías por nafta más barata? Efectos heterogéneos en ventas de combustibles ante un shock impositivo," Asociación Argentina de Economía Política: Working Papers 4389, Asociación Argentina de Economía Política.
    10. Jean-Victor Alipour & Valentin Lindlacher, 2022. "No Surprises, Please: Voting Costs and Electoral Turnout," CESifo Working Paper Series 9759, CESifo.
    11. Coskun, Sena & Dauth, Wolfgang & Gartner, Hermann & Stops, Michael & Weber, Enzo, 2024. "Working from Home Increases Work-Home Distances," IZA Discussion Papers 16855, Institute of Labor Economics (IZA).
    12. Renigier-Biłozor, Małgorzata & Źróbek, Sabina & Walacik, Marek & Janowski, Artur, 2020. "Hybridization of valuation procedures as a medicine supporting the real estate market and sustainable land use development during the covid-19 pandemic and afterwards," Land Use Policy, Elsevier, vol. 99(C).
    13. Martini, Gianmaria & Levaggi, Rosella & Spinelli, Daniele, 2022. "Is there a bias in patient choices for hospital care? Evidence from three Italian regional health systems," Health Policy, Elsevier, vol. 126(7), pages 668-679.
    14. Heuermann, Daniel F. & Assmann, Franziska & vom Berge, Philipp & Freund, Florian, 2017. "The distributional effect of commuting subsidies - Evidence from geo-referenced data and a large-scale policy reform," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 11-24.
    15. Jahn, Elke Jutta & Janeba, Eckhard & Agrawal, David, 2024. "Do Commuting Subsidies Drive Workers to Better Firms?," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302425, Verein für Socialpolitik / German Economic Association.
    16. Gao, Xin & An, Zhe & Li, Donghui & Xu, Weidong, 2024. "Does media affect the rival response to acquisition targets?," Journal of Empirical Finance, Elsevier, vol. 76(C).
    17. Felix Montag & Robin Mamrak & Alina Sagimuldina & Monika Schnitzer, 2023. "Imperfect Price Information, Market Power, and Tax Pass-Through," Rationality and Competition Discussion Paper Series 414, CRC TRR 190 Rationality and Competition.
    18. Ciani, Emanuele & de Blasio, Guido & Poy, Samuele, 2022. "A freeway to prosperity? Evidence from Calabria, South of Italy," Economics of Transportation, Elsevier, vol. 29(C).
    19. Léa Tardieu & Laetitia Tufféry, 2019. "From supply to demand factors : what are the determinants of attractiveness for outdoor recreation?," Post-Print hal-02883545, HAL.
    20. Cardullo, Paolo & Kitchin, Rob, 2017. "Being a ‘citizen’ in the smart city: Up and down the scaffold of smart citizen participation," SocArXiv v24jn, Center for Open Science.

    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:jftint:v:9:y:2017:i:4:p:70-:d:116194. 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.