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BikeDNA Vienna: Bicycle Infrastructure Data & Network Assessment

Symbolfoto_VCÖ-Mobilitätspreis 2023
Copyright: Katharina Lutzky


BikeDNA is tailored to the particularities of bicycle infrastructure data analysis. Many cities lack readily available and complete bicycle infrastructure data. Moreover, even when such data are available, there is often little knowledge on its quality. Bicycle networks pose a particular challenge because they consist of a much high number of disconnected components and have a much lower degree of connectivity than road networks for motorized transport. This high degree of fragmentation poses a challenge when applying standard Geographical Information System (GIS) tools to investigate network quality issues.


BikeDNA is an open-source tool for reproducible quality assessment of bicycle infrastructure data with a focus on network structure and connectivity. The tool can be applied to any location where data is available. BikeDNA performs either a standalone analysis of one data set or a comparative analysis between OpenStreetMap and a reference data set, including feature matching. Here, we present the application of BikeDNA to the City of Vienna’s bicycle infrastructure data (municipal data vs. OpenStreetMap data). Data quality metrics are considered both globally for the entire study area and locally on grid cell level, thus exposing spatial variation in data quality. Interactive maps and HTML/PDF reports are generated to facilitate the visual exploration and communication of results. BikeDNA supports quality assessments of bicycle infrastructure data for a wide range of applications – from urban planning to OpenStreetMap data improvement or network research for sustainable mobility.


We applied BikeDNA to Vienna’s bicycle infrastructure data. The result is a comparative analysis of bicycle data quality for the city of Vienna, comparing the official municipal data (provided through Open Data Austria) with corresponding OpenStreetMap data. All results (interactive maps, plots, statistics, PDF reports etc.) as well as the fully reproducible code can be freely accessed online under https://github.com/anastassiavybornova/BikeDNA-Vienna/tree/bbox. For the example use case of Vienna, we hope that our results will be of interest to decision makers in bicycle infrastructure planning, e.g. for the colleagues at Mobilitätsagentur Wien, who are already informed about this project.


IT University of Copenhagen, NERDS research group


NERDS research group, IT University of Copenhagen

NERDS research group, IT University of Copenhagen

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