Skip to main content
Log in

Ein Analyseansatz für Nutzerverhalten auf Basis von OSM-Daten

User Analysis Methods for OSM

  • Kollaborative Kartographie
  • Published:
KN - Journal of Cartography and Geographic Information Aims and scope Submit manuscript

Zusammenfassung

OpenStreetMap bietet nicht nur Zugriff auf eine große Zahl freier Geodaten, sondern auch auf die daraus ablesbaren Aktionen der beteiligten Akteure, die zudem teilweise GPS-Tracks von sich bereitstellen. Die in dieser Arbeit vorgestellten Methoden und Verfahren erschließen die OSM-Datenbank hinsichtlich Versionshistorie und Nutzerverhalten. Damit öffnen sie die black box OSM und ermöglichen Forschenden tiefer gehende Analysen ihrer inneren Struktur. Anhand ausgewählter Beispiele zeigen wir, wie statistische Auswertungen und Visualisierungen neue Einblicke in das Nutzerverhalten und die über soziale Netzwerke abgebildeten Nutzerstrukturen bieten.

Abstract

OpenStreetMap provides a huge amount of open geodata. This includes edit actions of its users. Additionally, a number of users provide GPS-tracks. In this article we show methods for the analysis of these data sources with focus on the active users allowing deeper insight for the researcher by opening the black box “OSM database”. We exemplify these methods on selected datasets with statistical analyses and visualizations giving new insights in user behavior and social network structures.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Literatur

  • Andrienko, Gennady; Gkoulalas-Divanis, Aris; Gruteser, Marco; Kopp, Christine; Liebig, Thomas; Rechert, Klaus (2013): The Liberation of Mobile Location Data and its Implications for Privacy Research. ACM SIGMOBILE Mobile Computing and Communication review 17 (2), 7–18.

    Article  Google Scholar 

  • Chow, Chi-Yin; Mokbel, Mohemad F. (2011): Privacy of Spatial Trajectories. In: Zheng, Yu; Zhou, Xiaofang (Hrsg.): Computing with Spatial Trajectories, 109–141.

  • Bittner, Christian; Glasze, Georg; Turk, Cate (2013): Tracing contingencies: analyzing the political in assemblages of web 2.0 cartographies. GeoJournal (Online First: http://link.springer.com/article/10.1007%2Fs10708-013-9488-8; 26.11.2013).

  • Budhathoki, Nama R.; Haythornthwaite, Caroline (2013): Motivation for Open Collaboration: Crowd and Community Models and the Case of OpenStreetMap. American Behavioral Scientist 57 (5), 548–575.

    Article  Google Scholar 

  • Dodge, Martin; Kitchin, Rob (2013): Crowdsourced cartography: mapping experience and knowledge. Environment and Planning A 45, 19–36.

    Article  Google Scholar 

  • Elwood, Sarah; Goodchild, Michael F.; Sui, Daniel Z. (2012): Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice. Annals of the Association of American Geographers 102 (3), 571–590.

    Article  Google Scholar 

  • Elwood, Sarah; Leszczynski, Agnieszka (2011): Privacy, reconsidered: New representations, data practices, and the geoweb. Geoforum 42 (1), 6–15.

    Article  Google Scholar 

  • Giddens, Anthony (1988): Die Konstitution der Gesellschaft. Grundzüge einer Theorie der Strukturierung. Frankfurt, New York: Campus Verlag.

    Google Scholar 

  • Glasze, Georg (2009): Kritische Kartographie. Geographische Zeitschrift 97 (4), 181–191.

    Google Scholar 

  • Goodchild, Michael F. (2007): Citizens as sensors: the world of volunteered geography. GeoJournal 69, 211–221.

    Article  Google Scholar 

  • Haklay, Muki (2013): Neogeography and the delusion of democratisation. Environment & planning A. International journal of urban and regional research 45 (1), 55–69.

    Google Scholar 

  • Harvey, Francis (2013): To Volunteer or to Contribute Locational Information? Towards Truth in Labeling for Crowdsourced Geographic Information. In: Daniel Sui; Sarah Elwood; Michael Goodchild (eds.): Crowdsourcing Geographic Knowledge. Volunteered Geographic Information (VGI) in Theory and Practice. Heidelberg, New York, London: Springer, 31–42.

    Google Scholar 

  • Jeung, Hoyoung; Yiu, Man Lung; Jensen, Christian S. (2011): Trajectory Pattern Mining. In: Zheng, Yu; Zhou, Xiaofang (Hrsg.): Computing with Spatial Trajectories, 143–177.

  • Kitchin, Rob; Gleeson, Justin; Dodge, Martin (2013): Unfolding mapping practices: a new epistemology for cartography. Transactions of the Institute of British Geographers 38 (3), 480–496.

    Article  Google Scholar 

  • Krumm, John (2009): A survey of computational location privacy. Personal and Ubiquitous Computing 13 (6), 391–399.

    Article  Google Scholar 

  • Latour, Bruno (2005): Reassembling the social: An introduction to actor-network-theory. Oxford: Oxford University Press.

    Google Scholar 

  • Laube, Patrick (2011): Raumzeitliches Data Mining. In: Schilcher, Matthäus (Hrsg.): Geoinformationssysteme. Beiträge zum 16. Münchner Fortbildungsseminar. Heidelberg: abcverlag, 50–62.

    Google Scholar 

  • Laube, Patrick (2009): Progress in Movement Pattern Analysis. In: Gottfried, Björn; Aghajan, Hamid (Hrsg.): Behaviour Monitoring and Interpretation — BMI. Smart Environments. Amsterdam, Berlin, Tokyo, Washington D.C.: IOS Press, 43–71.

    Google Scholar 

  • Lee, Wang-Chien; Krumm, John (2011): Trajectory Preprocessing. In: Zheng, Yu; Zhou, Xiaofang (Hrsg.): Computing with Spatial Trajectories, 3–33.

  • Ludwig, Ina; Voss, Angi; Krause-Traudes, Maike (2011): A Comparison of the Street Networks of Navteq and OSM in Germany. In: Geertman, Stan; Reinhardt

  • Wolfgang; Toppen, Fred; Cartwright, William; Gartner, Georg; Meng, Liqiu; Peterson, Michael P. (Hrsg.): Advancing Geoinformation Science for a Changing World. Berlin, Heidelberg: Springer, 65–84.

  • Millonig, Alexandra; Brändle, Norbert; Ray, Markus; Bauer, Dietmar; van der Spek, Stefan (2009): Pedestrian Behaviour Monitoring: Methods and Experiences. In: Gottfried, Björn; Aghajan, Hamid (Hrsg.): Behaviour Monitoring and Interpretation — BMI. Smart Environments. Amsterdam, Berlin, Tokyo, Washington D.C.: IOS Press, 11–42.

    Google Scholar 

  • Monreale, Anna; Andrienko, Gennady; Andrienko, Natalia; Giannotti, Fosca; Pedreschi, Dino; Rinzivillo, Salvatore; Wrobel, Stefan (2010): Movement Data Anonymity through Generalization. Transactions on Data Privacy 3, 91–121.

    Google Scholar 

  • Mooney, Peter; Corcoran, Padraig (2013): Analysis of Interaction and Co-editing Patterns amongst Open-StreetMap Contributors. Transactions in GIS (Online First: http://onlinelibrary.wiley.com/doi/10.1111/tgis.12051/full; 26.1 1.2013).

  • Mooney, Peter; Corcoran, Padraig (2012): Characteristics of Heavily Edited Objects in OpenStreetMap. Future Internet 4, 285–305.

    Article  Google Scholar 

  • Müller, Astrid; Neis, Pascal; Auer, Michael; Zipf, Alexander (2010): Ein Routenplaner für Rollstuhlfahrer auf der Basis von OpenStreetMap-Daten. Konzeption, Realisierung und Perspektiven. Angewandte Geoinformatik 2010–22. AGIT-Symposium (Online First: http://koe-nigstuhl.geog.uni-heidelberg.de/publications/2010/Mueller/100421rollstuhlrouting_abstract_AM.pdf; 26.1 1.2013).

  • Neis, Pascal; Zipf, Alexander (2013): Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap. ISPRS International Journal of Geo-Information 1, 146–165.

    Article  Google Scholar 

  • Perkins, Chris (2013): Plotting practices and politics: (im) mutable narratives in OpenStreetMap. Transactions of the Institute of British Geographers (Online First: http://onlinelibrary.wiley.com/doi/10.1111/tran.12022/full; 26.11.2013).

  • Schatzki, Theodore R. (2002): The site of the social: a philosophical account of the constitution of social life and change. Philadelphia: The Pennsylvania State University Press.

    Google Scholar 

  • Siedentop, Stefan; Roos, Sebastian; Fina, Stefan (2013): Ist die „Autoabhängigkeit“ von Bewohnern städtischer und ländlicher Siedlungsgebiete messbar? Entwicklung und Anwendung eines Indikatorenkonzepts in der Region Stuttgart. Raumforschung Raumordnung 71, 329–341.

    Article  Google Scholar 

  • Stein, Klaus; Blaschke, Steffen (2010): Interlocking communication: Measuring collaborative intensity in social networks. In: Memon, Nasrullah; Alhajj, Reda (Hrsg.): From Sociology to Computing in Social Networks: Theory, Foundations and Applications. Wien: Springer, 231–252.

    Chapter  Google Scholar 

  • Stein, Klaus; Blaschke, Steffen (2009): Corporate Wikis: Comparative Analysis of Structures and Dynamics. In: Hinkelmann, Knut; Wache, Holger (Hrsg.): Proceedings of the 5th Conference on Professional Knowledge Management, Lecture Notes in Informatics. Bonn: Gesellschaft für Informatik, 77–86.

    Google Scholar 

  • Stein, Klaus; Schlieder, Christoph (2013): A Geowiki for Participatory Mobility. Proceedings of the 15th AGILE International Conference on Geographic Information Science. (Online First: http://www.agile-online.org/index.php/conference/proceedings/proceedings-2013; 26.11.2013).

  • Wehmeier, Thomas; Koch, Annika (2010): Mobilitätschancen und Verkehrsverhalten in nachfrageschwachen ländlichen Räumen. Informationen zur Raumentwicklung 7, 457–465.

    Google Scholar 

  • Zheng, You; Xie, Xing (2011): Location-Based Social Networks: Locations. In: Zheng, Yu; Zhou, Xiaofang (Hrsg.): Computing with Spatial Trajectories, 277–308.

  • Zielstra, Dennis; Zipf, Alexander (2010): A comparative study of proprietary geodata and volunteered geographic information for Germany. Proceedings of the 13th AGILE International Conference on Geographic Information Science (Online First: http://www.agile-online.org/Conference_Paper/CDs/agile_2010/Short-Papers_PDF/142_DOC.pdf; 26.11.2013).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dominik Kremer.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kremer, D., Stein, K. Ein Analyseansatz für Nutzerverhalten auf Basis von OSM-Daten. j. Cartogr. Geogr. inf. 64, 144–152 (2014). https://doi.org/10.1007/BF03544144

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03544144

Schlüsselwörter

Keywords

Navigation