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MaaS users: Who they are and how much they are willing-to-pay

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  • Tsouros, Ioannis
  • Tsirimpa, Athena
  • Pagoni, Ioanna
  • Polydoropoulou, Amalia

Abstract

Mobility-as-a-service (MaaS) is a concept that has gained popularity and interest in the last few years. A significant determinant of the successful integration of a MaaS scheme is demand from passengers and potential users. The current research explores demand and willingness-to-pay for MaaS, focusing on different MaaS plans and offered services. An online survey in Greater Manchester, United Kingdom is utilized in order to explore and model such preferences and choices. Data from the survey includes socio-demographic data, current travel patterns, and a menu-based, stated preference experiment where the users were able to design their ideal MaaS plan. We model user choices by estimating a multinomial logit model, calculating also willingness-to-pay (WTP) for different levels of offered services in the MaaS package (public transport, car-sharing, bike-sharing and taxi). Results of the paper shed light into demand and quantitative analysis regarding MaaS, which the current literature lacks and outlines a price range for mobility services which is close to relevant literature in other locations for public transport and car-sharing and provides WTP estimates for taxi and bike-sharing. Results from this paper are useful both to potential MaaS operators and mobility service providers who would consider joining such initiatives; as we highlight user preferences and willingness-to-pay and to policymakers; outlining the overall preference for MaaS and the effect of socio-demographic and travel habits on MaaS plan choices.

Suggested Citation

  • Tsouros, Ioannis & Tsirimpa, Athena & Pagoni, Ioanna & Polydoropoulou, Amalia, 2021. "MaaS users: Who they are and how much they are willing-to-pay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 470-480.
  • Handle: RePEc:eee:transa:v:148:y:2021:i:c:p:470-480
    DOI: 10.1016/j.tra.2021.04.016
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    References listed on IDEAS

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    Cited by:

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    2. Manuel Rey-Moreno & Rafael Periáñez-Cristóbal & Arturo Calvo-Mora, 2022. "Reflections on Sustainable Urban Mobility, Mobility as a Service (MaaS) and Adoption Models," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
    3. Chen, Ching-Fu & Fu, Chiang & Chen, Yu-Chun, 2023. "Exploring tourist preference for Mobility-as-a-Service (MaaS) – A latent class choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    4. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    5. Nikitas, Alexandros & Cotet, Corneliu & Vitel, Alexandra-Elena & Nikitas, Nikolaos & Prato, Carlo, 2024. "Transport stakeholders’ perceptions of Mobility-as-a-Service: A Q-study of cultural shift proponents, policy advocates and technology supporters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    6. Kayikci, Yasanur & Kabadurmus, Ozgur, 2022. "Barriers to the adoption of the mobility-as-a-service concept: The case of Istanbul, a large emerging metropolis," Transport Policy, Elsevier, vol. 129(C), pages 219-236.
    7. Kriswardhana, Willy & Esztergár-Kiss, Domokos, 2023. "Exploring the aspects of MaaS adoption based on college students’ preferences," Transport Policy, Elsevier, vol. 136(C), pages 113-125.
    8. van 't Veer, Renske & Annema, Jan Anne & Araghi, Yashar & Homem de Almeida Correia, Gonçalo & van Wee, Bert, 2023. "Mobility-as-a-Service (MaaS): A latent class cluster analysis to identify Dutch vehicle owners’ use intention," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).

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