Transportation infrastructure is crucial in determining accessibility and mobility metrics, which help us to optimize transportation systems. However, current representations of the local environment are less standardized, making it hard to extract relevant data. To address this, we propose a framework that enables geographic and categorical homogenization of environmental data and recombination with additional sociodemographic data. Ensuring semantic consistency, our framework leverages the styling rules of OSM Carto representation to extract land use and transportation infrastructure data worldwide. We evaluated the framework's performance in Munich, Germany, by refining WorldPops' distribution via OSM building data from our framework to synthetically derive a more accurate population distribution for Munich's districts. Our benchmark against official administrative ground truth shows a significant improvement compared to the baseline distributions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Enhancing Transportation Insights: A Scalable OpenStreetMap Harmonization and Synthesis Framework


    Beteiligte:
    Ziegler, David (Autor:in) / Herbst, Tobias (Autor:in) / Netzler, Fabian (Autor:in) / Krapf, Sebastian (Autor:in) / Lienkamp, Markus (Autor:in)


    Erscheinungsdatum :

    24.09.2024


    Format / Umfang :

    5639148 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    OpenStreetMap for traffic simulation

    Zilske, Michael / Neumann, Andreas / Nagel, Kai | DataCite | 2011

    Freier Zugriff


    Exploring OpenStreetMap Capability for Road Perception

    Zheng, Yang / Izzat, Izzat H. | IEEE | 2018


    EXPLORING OPENSTREETMAP CAPABILITY FOR ROAD PERCEPTION

    Zheng, Yang / Izzat, Izzat H. | British Library Conference Proceedings | 2018