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Using OpenStreetMap point-of-interest data to model urban change—A feasibility study

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  • Liming Zhang
  • Dieter Pfoser

Abstract

User-generated content is a valuable resource for capturing all aspects of our environment and lives, and dedicated Volunteered Geographic Information (VGI) efforts such as OpenStreetMap (OSM) have revolutionized spatial data collection. While OSM data is widely used, considerably little attention has been paid to the quality of its Point-of-interest (POI) component. This work studies the accuracy, coverage, and trend worthiness of POI data. We assess the accuracy and coverage using another VGI source that utilizes editorial control. OSM data is compared to Foursquare data by using a combination of label similarity and positional proximity. Using the example of coffee shop POIs in Manhattan we also assess the trend worthiness of OSM data. A series of spatio-temporal statistical models are tested to compare change in the number of coffee shops to home prices in certain areas. This work overall shows that, although not perfect, OSM POI data and specifically its temporal aspect (changeset) can be used to drive urban science research and to study urban change.

Suggested Citation

  • Liming Zhang & Dieter Pfoser, 2019. "Using OpenStreetMap point-of-interest data to model urban change—A feasibility study," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-34, February.
    • Handle: RePEc:plo:pone00:0212606
    DOI: 10.1371/journal.pone.0212606
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    Cited by:

    1. Shiqin Liu & Carl Higgs & Jonathan Arundel & Geoff Boeing & Nicholas Cerdera & David Moctezuma & Ester Cerin & Deepti Adlakha & Melanie Lowe & Billie Giles-Corti, 2021. "A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data," Papers 2105.08814, arXiv.org.
    2. Oliveira, Renata Lúcia Magalhães de & Dablanc, Laetitia & Schorung, Matthieu, 2022. "Changes in warehouse spatial patterns and rental prices: Are they related? Exploring the case of US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 104(C).
    3. Alice Barreca, 2022. "Architectural Quality and the Housing Market: Values of the Late Twentieth Century Built Heritage," Sustainability, MDPI, vol. 14(5), pages 1-24, February.

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