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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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    as
    1. Jokinen, Jani-Pekka & Sihvola, Teemu & Mladenovic, Milos N., 2019. "Policy lessons from the flexible transport service pilot Kutsuplus in the Helsinki Capital Region," Transport Policy, Elsevier, vol. 76(C), pages 123-133.
    2. Markus Friedrich & Maximilian Hartl & Christoph Magg, 2018. "A modeling approach for matching ridesharing trips within macroscopic travel demand models," Transportation, Springer, vol. 45(6), pages 1639-1653, November.
    3. Alexandra König & Tabea Bonus & Jan Grippenkoven, 2018. "Analyzing Urban Residents’ Appraisal of Ridepooling Service Attributes with Conjoint Analysis," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    4. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
    5. Daniel J. Fagnant & Kara M. Kockelman, 2018. "Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas," Transportation, Springer, vol. 45(1), pages 143-158, January.
    6. Prateek Bansal & Akanksha Sinha & Rubal Dua & Ricardo Daziano, 2019. "Eliciting Preferences of Ridehailing Users and Drivers: Evidence from the United States," Papers 1904.06695, arXiv.org.
    7. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    8. Louis A. Merlin, 2019. "Transportation Sustainability Follows From More People in Fewer Vehicles, Not Necessarily Automation," Journal of the American Planning Association, Taylor & Francis Journals, vol. 85(4), pages 501-510, October.
    9. Morsche, Wietse te & La Paix Puello, Lissy & Geurs, Karst T., 2019. "Potential uptake of adaptive transport services: An exploration of service attributes and attitudes," Transport Policy, Elsevier, vol. 84(C), pages 1-11.
    10. Knie, Andreas & Ruhrort, Lisa & Gödde, Jan & Pfaff, Theresa, 2020. "Ride-Pooling-Dienste und ihre Bedeutung für den Verkehr. Nachfragemuster und Nutzungsmotive am Beispiel von "CleverShuttle" - eine Untersuchung auf Grundlage von Buchungsdaten und Kundenbefr," Discussion Papers, Research Group Digital Mobility and Social Differentiation SP III 2020-601, WZB Berlin Social Science Center.
    11. Alejandro Henao & Wesley E. Marshall, 2019. "The impact of ride-hailing on vehicle miles traveled," Transportation, Springer, vol. 46(6), pages 2173-2194, December.
    12. Becker, Henrik & Balac, Milos & Ciari, Francesco & Axhausen, Kay W., 2020. "Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 228-243.
    13. Laura Gebhardt & Mascha Brost & Alexandra König, 2019. "An Inter- and Transdisciplinary Approach to Developing and Testing a New Sustainable Mobility System," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
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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).
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    3. 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.
    4. 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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