Using OpenStreetMap as Data Source for Attractiveness in Travel Demand Models

In this paper, the authors present a methodology to extract points of interest (POI) data from OpenStreetMap (OSM) for the application in travel demand models. The authors use custom taglists to identify and assign POI elements to typical activities used in travel demand models. The authors then compare the extracted OSM data with official sources and point out that the OSM data quality depends on the type of POI but is generally as good as the data quality of official sources. It can therefore be used in travel demand models, however the authors recommend to perform plausibility checks to ensure a certain quality. Further, the authors present a methodology to calculate attractiveness measures for typical activities from single POIs and national trip generation guidelines. The authors show that the quality of these calculated measures is good enough, whereby they can be used in travel demand models. Hence, using the authors' approach allows a quick, automated and flexible generation of attractiveness measures for travel demand models.

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    • This paper was sponsored by TRB committee AEP50 Standing Committee on Transportation Demand Forecasting.
  • Authors:
    • Klinkhardt, Christian
    • Wörle, Tim
    • Briem, Lars
    • Heilig, Michael
    • Kagerbauer, Martin
    • Vortisch, Peter
  • Publication Date: 2021


  • English

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  • Accession Number: 01764120
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-00891
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:20AM