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staty: Quality Assurance for Public Transit Stations in OpenStreetMap

Published: 13 November 2020 Publication History
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  • Abstract

    We present staty, a browser-based tool for quality assurance of public transit station tagging in OpenStreetMap (OSM). Building on the results of a similarity classifier for these stations, our tool visualizes name tag errors as well as incorrect and/or missing station group relations. Detailed edit suggestions are provided for individual objects. This is done intrinsically without an external ground truth. Instead, the underlying classifier is trained on the OSM data itself. We describe how our tool derives errors and suggestions from station tag similarities and provide experimental results on the OSM data of the United Kingdom, the United States, and a dataset consisting of Germany, Switzerland, and Austria. Our tool can be accessed under https://staty.cs.uni-freiburg.de.

    References

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    Christopher Barron, Pascal Neis, and Alexander Zipf. 2014. A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis. Transactions in GIS 18, 6 (2014), 877--895.
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    Hongchao Fan, Alexander Zipf, Qing Fu, and Pascal Neis. 2014. Quality assessment for building footprints data on OpenStreetMap. International Journal of Geographical Information Science 28, 4 (2014), 700--719.
    [3]
    Stefan Funke, Robin Schirrmeister, and Sabine Storandt. 2015. Automatic Extrapolation of Missing Road Network Data in OpenStreetMap. In 2nd International Workshop on Mining Urban Data, Lille, France. 27--35.
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    Stefan Funke and Sabine Storandt. 2017. Automatic Tag Enrichment for Points-of-Interest in Open Street Map. In Proceedings of the 15th W2GIS 2017, Shanghai, China. 3--18.
    [5]
    Jean-François Girres and Guillaume Touya. 2010. Quality Assessment of the French OpenStreetMap Dataset. Transactions in GIS 14, 4 (2010), 435--459.
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    Mordechai Haklay. 2010. How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets. Environment and Planning B: Planning and Design 37, 4 (2010), 682--703.
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    Musfira Jilani, Padraig Corcoran, and Michela Bertolotto. 2014. Automated highway tag assessment of OpenStreetMap road networks. In Proceedings of the 22nd ACM SIGSPATIAL, Dallas/Fort Worth, USA. ACM, 449--452.
    [8]
    Nikos Karagiannakis, Giorgos Giannopoulos, Dimitrios Skoutas, and Spiros Athanasiou. 2015. OSMRec Tool for Automatic Recommendation of Categories on Spatial Entities in OpenStreetMap. In Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria. ACM, 337--338.
    [9]
    Xuejing Xie, Yi Zhou, Yongyang Xu, Yunbing Hu, and Chunling Wu. 2019. OpenStreetMap Data Quality Assessment via Deep Learning and Remote Sensing Imagery. IEEE Access 7 (2019).

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    cover image ACM Conferences
    SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems
    November 2020
    687 pages
    ISBN:9781450380195
    DOI:10.1145/3397536
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 13 November 2020

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    Author Tags

    1. OpenStreetMap Data
    2. Public Transit Data
    3. Quality Assurance

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    Overall Acceptance Rate 220 of 1,116 submissions, 20%

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