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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. David R. Agrawal & Elke J. Jahn & Eckhard Janeba, 2024. "Do Commuting Subsidies Drive Workers to Better Firms?," CESifo Working Paper Series 10981, CESifo.
    9. 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.
    10. Léa Tardieu & Laetitia Tufféry, 2019. "From supply to demand factors : what are the determinants of attractiveness for outdoor recreation?," Post-Print hal-02883545, HAL.
    11. 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.
    12. Acosta, Camilo & Lyngemark, Ditte Håkonsson, 2021. "The internal spatial organization of firms: Evidence from Denmark," Journal of Urban Economics, Elsevier, vol. 124(C).
    13. Reuter-Oppermann, Melanie & Wolff, Clemens & Pumplun, Luisa, 2021. "Next Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124665, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Kathleen Kürschner & Michael Kvasnicka, 2018. "The 2015 European Refugee Crisis and Residential Housing Rents in Germany," ERES eres2018_156, European Real Estate Society (ERES).
    15. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2019. "Property heterogeneity and convergence club formation among local house prices," Journal of Housing Economics, Elsevier, vol. 43(C), pages 1-13.
    16. David Kuklinski & Justus Vogel & Cornelia Henschke & Christoph Pross & Alexander Geissler, 2023. "Robotic-assisted surgery for prostatectomy – does the diffusion of robotic systems contribute to treatment centralization and influence patients’ hospital choice?," Health Economics Review, Springer, vol. 13(1), pages 1-16, December.
    17. Cárdenas, Jeisson & Gutiérrez, Luis H. & Otero, Jesús, 2017. "Investigating diesel market integration in France: Evidence from micro data," Energy Economics, Elsevier, vol. 63(C), pages 314-321.
    18. Dauth, Wolfgang & Haller, Peter, 2020. "Is there loss aversion in the trade-off between wages and commuting distances?," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    19. S. Travis Waller & Sai Chand & Aleksa Zlojutro & Divya Nair & Chence Niu & Jason Wang & Xiang Zhang & Vinayak V. Dixit, 2021. "Rapidex: A Novel Tool to Estimate Origin–Destination Trips Using Pervasive Traffic Data," Sustainability, MDPI, vol. 13(20), pages 1-27, October.
    20. Malecki, Edward J., 2017. "Real people, virtual places, and the spaces in between," Socio-Economic Planning Sciences, Elsevier, vol. 58(C), pages 3-12.

    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.