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Usage and User Characteristics—Insights from MOIA, Europe’s Largest Ridepooling Service

Author

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  • Nadine Kostorz

    (Institute for Transport Studies, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany)

  • Eva Fraedrich

    (MOIA GmbH, Alexanderufer 5, 10117 Berlin, Germany)

  • Martin Kagerbauer

    (Institute for Transport Studies, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany)

Abstract

New, i.e., shared and digitized, mobility services have been entering urban mobility markets around the globe. Among these new offerings is ridepooling, a mobility solution that bundles requests from passengers with similar routes in real-time and matches them with a vehicle. Ridepooling is quite novel in Germany and knowledge about users, changes in travel behavior, and impacts on the urban traffic system is scarce. To address this gap, we conducted an online survey among users and non-users of MOIA, a German ridepooling provider. Over 12,000 respondents completed the survey. The article presents results on ridepooling users’ characteristics and usage patterns. We found that MOIA users cover all age groups and are multimodal travelers—which leads us to assume that ridepooling enriches mobility portfolios and also serves as an alternative to the private car. MOIA is mostly used occasionally and, in particular, during the evening or the night. A specific focus of the article lies on users with mobility impairments as well as how and by whom ridepooling is used on work-related trips. Both topics are particularly relevant in light of changing travel patterns and transforming urban transport systems towards more sustainability.

Suggested Citation

  • Nadine Kostorz & Eva Fraedrich & Martin Kagerbauer, 2021. "Usage and User Characteristics—Insights from MOIA, Europe’s Largest Ridepooling Service," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:958-:d:482702
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    References listed on IDEAS

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    Cited by:

    1. Zwick, Felix & Axhausen, Kay W., 2022. "Ride-pooling demand prediction: A spatiotemporal assessment in Germany," Journal of Transport Geography, Elsevier, vol. 100(C).
    2. Ulfia Annette Lenfers & Nima Ahmady-Moghaddam & Daniel Glake & Florian Ocker & Jonathan Ströbele & Thomas Clemen, 2021. "Incorporating Multi-Modal Travel Planning into an Agent-Based Model: A Case Study at the Train Station Kellinghusenstraße in Hamburg," Land, MDPI, vol. 10(11), pages 1-20, November.
    3. Lukas Berthold & Malte Fliedner & Arne Schulz, 2025. "A shift scheduling model for ridepooling services," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(2), pages 349-373, June.
    4. Gödde, Jan & Ruhrort, Lisa & Allert, Viktoria & Scheiner, Joachim, 2023. "User characteristics and spatial correlates of ride-pooling demand – Evidence from Berlin and Munich," Journal of Transport Geography, Elsevier, vol. 109(C).
    5. Burghard, Uta & Scherrer, Aline, 2022. "Sharing vehicles or sharing rides - Psychological factors influencing the acceptance of carsharing and ridepooling in Germany," Energy Policy, Elsevier, vol. 164(C).

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