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Mobility as a Service and Public Transport: A Rapid Literature Review and the Case of Moovit

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  • Georgina Santos

    (School of Geography and Planning, Cardiff University, Cardiff CF10 3WA, UK)

  • Nikolay Nikolaev

    (School of Geography and Planning, Cardiff University, Cardiff CF10 3WA, UK)

Abstract

Mobility as a Service (MaaS) is often proposed as a tool for achieving sustainable mobility and, in particular, increasing the share of public transport trips in cities. In this paper we conduct a rapid review of the literature on MaaS and, using Moovit as a case study, we explore the association between the popularity of searches in Google using the term “Moovit” and the share of workers that commute by public transport. The exercise focuses on metropolitan areas in the United States over the period 2010 to 2019. We find a positive correlation, and we speculate that metropolitan areas with pre-existing higher shares of workers commuting by public transport tend to be metropolitan areas where use of Moovit is more likely.

Suggested Citation

  • Georgina Santos & Nikolay Nikolaev, 2021. "Mobility as a Service and Public Transport: A Rapid Literature Review and the Case of Moovit," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3666-:d:524164
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    References listed on IDEAS

    as
    1. Georgina Santos, 2018. "Sustainability and Shared Mobility Models," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    2. Ho, Chinh Q. & Mulley, Corinne & Hensher, David A., 2020. "Public preferences for mobility as a service: Insights from stated preference surveys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 70-90.
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    Cited by:

    1. Iria Lopez-Carreiro & Andres Monzon & Elena Lopez, 2023. "MaaS Implications in the Smart City: A Multi-Stakeholder Approach," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    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. Duan, Sophia Xiaoxia & Tay, Richard & Molla, Alemayehu & Deng, Hepu, 2022. "Predicting Mobility as a Service (MaaS) use for different trip categories: An artificial neural network analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 135-149.
    4. Nir Sharav & Yoram Shiftan, 2021. "Optimal Urban Transit Investment Model and Its Application," Sustainability, MDPI, vol. 13(16), pages 1-29, August.
    5. 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.

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