Shared e-scooters could improve the sustainability of traffic by being an incentive to switch to public transportation and simultaneously being a potential first- and last mile-solution. Currently, it is not clear whether e-scooter sharing is a positive addition or an additional burden for urban traffic. This work evaluates the usage of shared e-scooters and its impacts on public transport, based on movement data of e-scooters distributed in the German city of Karlsruhe. A central research question answered in this work is whether shared e-scooters contribute to increasing the attractiveness of public transport or whether they substitute it. Since this question has hardly been investigated with the help of mobility data so far, a concept is to be developed, based on which e-scooter usage in connection with public transportation can be studied.


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    Titel :

    Data-based Usage Analysis of Shared e-scooters in the Context of Public Transport


    Beteiligte:
    Oehme, Rafael (Autor:in) / Titov, Waldemar (Autor:in) / Krauß, Konstantin (Autor:in) / Gnann, Till (Autor:in) / Schlegel, Thomas (Autor:in)

    Kongress:

    2022 International Conference on Intelligent Human Systems Integration 2022; 10.54941/ahfe100931; Intelligent Human Systems Integration, IHSI 2022. Integrating People and Intelligent Systems; 978-1-7923-8988-7


    Erscheinungsdatum :

    2022



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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