This research aims to develop an assessment framework to analyze the user friendliness of Urban Air Mobility (UAM), a future mode that enables autonomous inner-city, on-demand transport in passenger drones. The relevant demand and acceptance drivers are derived from a meta-analysis of urban mode choice factors and studies on UAM mode choice and acceptance specifically. By applying this framework, the potential of UAM is analyzed in terms of users’ new options in their daily travel behavior, fostering seamless inter- and multi-modal mobility. Considering the factors relevant for gaining users’ confidence, three different operational concepts [UAMaaS (UAM as a service), UAT (Urban Air Taxi) and UAM platinum] are assessed, showing that the concepts answer different user segments’ needs.


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    Title :

    Identifying Demand and Acceptance Drivers for User Friendly Urban Air Mobility Introduction


    Additional title:

    Lect.Notes Mobility




    Publication date :

    2020-02-06


    Size :

    18 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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