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Using OpenStreetMap as a Data Source for Attractiveness in Travel Demand Models

Klinkhardt, Christian; Wörle, Tim; Briem, Lars; Heilig, Michael; Kagerbauer, Martin; Vortisch, Peter

Abstract (englisch):
We present a methodology to extract points of interest (POIs) data from OpenStreetMap (OSM) for application in travel demand models. We use custom taglists to identify and assign POI elements to typical activities used in travel demand models. We then compare the extracted OSM data with official sources and point out that the OSM data quality depends on the type of POI and that it generally matches the quality of official sources. It can therefore be used in travel demand models. However, we recommend that plausibility checks should be done to ensure a certain quality. Further, we present a methodology for calculating attractiveness measures for typical activities from single POIs and national trip generation guidelines. We show that the quality of these calculated measures is good enough for them to be used in travel demand models. Using our approach, therefore, allows the quick, automated, and flexible generation of attractiveness measures for travel demand models.

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DOI: 10.1177/0361198121997415
Zugehörige Institution(en) am KIT Institut für Verkehrswesen (IFV)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0361-1981, 2169-4052
KITopen-ID: 1000130249
Erschienen in Transportation research record
Verlag SAGE Publications
Seiten No: 036119812199741
Vorab online veröffentlicht am 28.02.2021
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