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Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes

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  • Alonso-González, María J.
  • Hoogendoorn-Lanser, Sascha
  • van Oort, Niels
  • Cats, Oded
  • Hoogendoorn, Serge

Abstract

Mobility as a Service (MaaS) is expected to significantly change mobility patterns, yet it is still not clear who will embrace this new mobility paradigm and how MaaS will impact passengers’ transportation. In the paper, we identify factors relevant for MaaS adoption based on a survey comprised of over thousand respondents in the Netherlands. We find five clusters in relation to individuals’ inclinations to adopt MaaS in the context of urban mobility. We characterize each of the clusters, allowing for the examining of different customer segments regarding MaaS. The cluster with the highest inclination for future MaaS adoption is also the largest cluster (representing one third of respondents). Individuals in this cluster have multimodal weekly mobility patterns. On the contrary, current unimodal car users are the least likely to adopt MaaS. We identify high (mobility) ownership need and low technology adoption (present in three of the five clusters) as the main barriers that can hinder MaaS adoption. Policies that directly address these two barriers can stimulate MaaS adoption.

Suggested Citation

  • Alonso-González, María J. & Hoogendoorn-Lanser, Sascha & van Oort, Niels & Cats, Oded & Hoogendoorn, Serge, 2020. "Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 378-401.
    • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:378-401
    DOI: 10.1016/j.tra.2019.11.022
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    6. Lorena Torres Lahoz & Francisco Camara Pereira & Georges Sfeir & Ioanna Arkoudi & Mayara Moraes Monteiro & Carlos Lima Azevedo, 2023. "Attitudes and Latent Class Choice Models using Machine learning," Papers 2302.09871, arXiv.org.
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    8. Kucharski, Rafał & Cats, Oded, 2020. "Exact matching of attractive shared rides (ExMAS) for system-wide strategic evaluations," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 285-310.
    9. Reck, Daniel J. & Hensher, David A. & Ho, Chinh Q., 2020. "MaaS bundle design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 485-501.
    10. Ding, Xiaoshu & Qi, Qi & Jian, Sisi & Yang, Hai, 2023. "Mechanism design for Mobility-as-a-Service platform considering travelers’ strategic behavior and multidimensional requirements," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 1-30.
    11. Claudia Caballini & Maria Vittoria Corazza & Valentina Costa & Ilaria Delponte & Erika Olivari, 2022. "Assessing the Feasibility of MaaS: A Contribution from Three Italian Case Studies," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    12. Tobias Kuhnimhof & Christine Eisenmann, 2023. "Mobility-on-demand pricing versus private vehicle TCO: how cost structures hinder the dethroning of the car," Transportation, Springer, vol. 50(2), pages 707-731, April.
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    14. Paula Brezovec & Nina Hampl, 2021. "Electric Vehicles Ready for Breakthrough in MaaS? Consumer Adoption of E-Car Sharing and E-Scooter Sharing as a Part of Mobility-as-a-Service (MaaS)," Energies, MDPI, vol. 14(4), pages 1-25, February.
    15. Saleem, Muhammad Abid & Afzal, Hanan & Ahmad, Farooq & Ismail, Hina & Nguyen, Ninh, 2023. "An exploration and importance-performance analysis of bus rapid transit systems’ service quality attributes: Evidence from an emerging economy," Transport Policy, Elsevier, vol. 141(C), pages 1-13.
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    17. Marc Schabka & Aurelia Kammerhofer & Valerie Batiajew & Maria Juschten, 2022. "Driving Forces and Barriers for the Implementation of Mobility Services in Austria—A Practitioner Perspective," Sustainability, MDPI, vol. 14(18), pages 1-26, September.
    18. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    19. van Kuijk, Roy J. & de Almeida Correia, Gonçalo Homem & van Oort, Niels & van Arem, Bart, 2022. "Preferences for first and last mile shared mobility between stops and activity locations: A case study of local public transport users in Utrecht, the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 285-306.
    20. Jaroslav Mašek & Vladimíra Štefancová & Jaroslav Mazanec & Petra Juránková, 2023. "The Classification of Application Users Supporting and Facilitating Travel Mobility Using Two-Step Cluster Analysis," Mathematics, MDPI, vol. 11(9), pages 1-16, May.
    21. Cooper, Erin & Vanoutrive, Thomas, 2022. "Does MaaS address the challenges of multi-modal mothers? User perspectives from Brussels, Belgium," Transport Policy, Elsevier, vol. 127(C), pages 130-138.

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