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

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

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Klinkhardt, Christian / Woerle, Tim / Briem, Lars / Heilig, Michael / Kagerbauer, Martin / Vortisch, Peter

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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Title :

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

Additional title:

Transportation Research Record

Contributors:

Klinkhardt, Christian (author) / Woerle, Tim (author) / Briem, Lars (author) / Heilig, Michael (author) / Kagerbauer, Martin (author) / Vortisch, Peter (author)

Published in:

Transportation Research Record: Journal of the Transportation Research Board ; 2675 , 8 ; 294-303

Publication date :

2021-02-02

ISSN :

2169-4052 , 0361-1981

DOI :

https://doi.org/10.1177/0361198121997415

Type of media :

Article (Journal)

Type of material :

Electronic Resource