IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03687590.html
   My bibliography  Save this paper

Willingness to use MaaS in a developing country

Author

Listed:
  • Rodrigo Gandia
  • Fabio Antonialli
  • Julia Oliveira
  • Joel Sugano
  • Isabelle Nicolaï

    (LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay)

  • Izabela Cardoso Oliveira

Abstract

Mobility as a Service (MaaS) presents a shift from existing ownership-based transports and towards access-based ones and it has been recently gaining ground in urban mobility. MaaS is still surrounded by uncertainties and, its development and applicability are mainly centered in developed countries. However, MaaS is modular, adaptable and applicable to several realities. In this sense, this study aims to examine the perception of different transport models among students and to find the profile that can predict respondents' willingness to use MaaS in a developing country. This survey was applied to over 300 university students in a Brazilian city (Lavras). Using the CART algorithm, it was obtained classification trees to predict favorable responses related to MaaS use, based on several predictor variables (socio-economic characteristics, means of transport used, distance and other). It was observed that, car users are a little less sensitive to cost than non-car users. For car users, commute alternatives that take longer, with less flexibility and availabilityeven when offered at lower costsare not appealing, while non-car users accept and spend more time whether lower costs are available. Also, in general, the tree-based classification model predicted a positive adherence possibility for a MaaS scheme for both car users and non-car users (69%). As conclusions, this study suggests a willingness to MaaS model for creating value for commuters in a developing country. It was found that many MaaS' characteristics (e.g. app payment, transport integration, monthly plan, customization, son on.) presented a positive predicted possibility of substitution, especially for millennials. Also, it was found that bicycle may be a modal that can be explored for MaaS schemes worldwide, and casual carpooling could be used as strategy to apply MaaS in places where the public transport lacks efficiency.

Suggested Citation

  • Rodrigo Gandia & Fabio Antonialli & Julia Oliveira & Joel Sugano & Isabelle Nicolaï & Izabela Cardoso Oliveira, 2021. "Willingness to use MaaS in a developing country," Post-Print hal-03687590, HAL.
  • Handle: RePEc:hal:journl:hal-03687590
    DOI: 10.2495/TDI-V5-N1-57-68
    Note: View the original document on HAL open archive server: https://hal.science/hal-03687590
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03687590/document
    Download Restriction: no

    File URL: https://libkey.io/10.2495/TDI-V5-N1-57-68?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801, September.
    2. Martin, Elliot & Shaheen, Susan Alison & Lidicker, Jeffrey, 2010. "Carsharing’S Impact On Household Vehicle Holdings: Results From A North American Shared-Use Vehicle Survey," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0850h6r5, Institute of Transportation Studies, UC Berkeley.
    3. Martin, Elliot & Shaheen, Susan A & Lidicker, Jeffrey, 2010. "Carsharing's Impact on Household Vehicle Holdings: Resultsvfrom a North American Shared-Use Vehicle Survey," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3bn9n6pq, Institute of Transportation Studies, UC Berkeley.
    4. Martin, Elliot & Shaheen, Susan Alison & Lidicker, Jeffrey, 2010. "Carsharing’S Impact On Household Vehicle Holdings: Results From A North American Shared-Use Vehicle Survey," Institute of Transportation Studies, Working Paper Series qt0850h6r5, Institute of Transportation Studies, UC Davis.
    5. Sophie Dantan & Julie Bulteau & Isabelle Nicolaï, 2017. "Enhancing sustainable mobility through a multimodal platform: would travellers pay for it?," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 20(1/2), pages 33-55.
    6. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    7. Shaheen, Susan PhD & Chan, Nelson & Gaynor, Theresa, 2016. "Casual Carpooling in the San Francisco Bay Area: Understanding User Characteristics, Behaviors, and Motivations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4dh2h0rf, Institute of Transportation Studies, UC Berkeley.
    8. Lyons, Glenn & Hammond, Paul & Mackay, Kate, 2019. "The importance of user perspective in the evolution of MaaS," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 22-36.
    9. Hensher, David A., 2017. "Future bus transport contracts under a mobility as a service (MaaS) regime in the digital age: Are they likely to change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 86-96.
    10. Croce, Antonello Ignazio & Musolino, Giuseppe & Rindone, Corrado & Vitetta, Antonino, 2019. "Sustainable mobility and energy resources: A quantitative assessment of transport services with electrical vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    11. Ambrosino, Giorgio & Nelson, John D. & Boero, Marco & Pettinelli, Irene, 2016. "Enabling intermodal urban transport through complementary services: From Flexible Mobility Services to the Shared Use Mobility Agency," Research in Transportation Economics, Elsevier, vol. 59(C), pages 179-184.
    12. Corinne Mulley, 2017. "Mobility as a Services (MaaS) – does it have critical mass?," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 247-251, May.
    13. Shaheen, Susan A. & Chan, Nelson D. & Gaynor, Teresa, 2016. "Casual carpooling in the San Francisco Bay Area: Understanding user characteristics, behaviors, and motivations," Transport Policy, Elsevier, vol. 51(C), pages 165-173.
    14. Peraphan Jittrapirom & Valeria Caiati & Anna-Maria Feneri & Shima Ebrahimigharehbaghi & María J. Alonso González & Jishnu Narayan, 2017. "Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges," Urban Planning, Cogitatio Press, vol. 2(2), pages 13-25.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ho, Chinh Q. & Tirachini, Alejandro, 2024. "Mobility-as-a-Service and the role of multimodality in the sustainability of urban mobility in developing and developed countries," Transport Policy, Elsevier, vol. 145(C), pages 161-176.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rodrigo Gandia & Julia Oliveira & Fabio Antonialli & Joel Sugano & Isabelle Nicolaï & Izabela Cardoso Oliveira, 2019. "Consumer Predisposition And Behavior Towards Mobility-As-A-Service Among University Students In A Developing Country," Post-Print halshs-03687634, HAL.
    2. Rodrigo Gandia & Fabio Antonialli & Julia Oliveira & Lucas Patrício & Joel Sugano & Isabelle Nicolaï & Izabela Cardoso Oliveira, 2021. "Casual Carpooling as a Strategy to Implement Mobility-as-a-Service schemes in a Developing Country," Post-Print hal-03687581, HAL.
    3. Xiaowei Chen & Hongyu Zheng & Ze Wang & Xiqun Chen, 2021. "Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires," Transportation, Springer, vol. 48(4), pages 1541-1561, August.
    4. Rodrigo Gandia & Fabio Antonialli & Isabelle Nicolaï & Joel Sugano & Julia Oliveira & Izabela Oliveira, 2021. "Casual Carpooling: A Strategy to Support Implementation of Mobility-as-a-Service in a Developing Country," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    5. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    6. Storme, Tom & De Vos, Jonas & De Paepe, Leen & Witlox, Frank, 2020. "Limitations to the car-substitution effect of MaaS. Findings from a Belgian pilot study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 196-205.
    7. Julie Bulteau & Thierry Feuillet & Sophie Dantan, 2019. "Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses," Post-Print hal-02113257, HAL.
    8. 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.
    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. Nadine Gatzert & Katrin Osterrieder, 2020. "The future of mobility and its impact on the automobile insurance industry," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(1), pages 31-51, March.
    11. 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.
    12. Lovejoy, Kristin, 2012. "Mobility Fulfillment Among Low-car Households: Implications for Reducing Auto Dependence in the United States," Institute of Transportation Studies, Working Paper Series qt4v44b5qn, Institute of Transportation Studies, UC Davis.
    13. Boyacı, Burak & Zografos, Konstantinos G., 2019. "Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 244-272.
    14. Lopez-Carreiro, Iria & Monzon, Andres & Lopez-Lambas, Maria E., 2021. "Comparison of the willingness to adopt MaaS in Madrid (Spain) and Randstad (The Netherlands) metropolitan areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 275-294.
    15. Pangbourne, Kate & Mladenović, Miloš N. & Stead, Dominic & Milakis, Dimitris, 2020. "Questioning mobility as a service: Unanticipated implications for society and governance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 35-49.
    16. Yue Guo & Fu Xin & Xiaotong Li, 2020. "The market impacts of sharing economy entrants: evidence from USA and China," Electronic Commerce Research, Springer, vol. 20(3), pages 629-649, September.
    17. Golalikhani, Masoud & Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Antunes, António Pais, 2021. "Carsharing: A review of academic literature and business practices toward an integrated decision-support framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    18. Xin-Wei Li & Hong-Zhi Miao, 2023. "How to Incorporate Autonomous Vehicles into the Carbon Neutrality Framework of China: Legal and Policy Perspectives," Sustainability, MDPI, vol. 15(7), pages 1-24, March.
    19. Susan Shaheen & Nelson Chan & Helen Micheaux, 2015. "One-way carsharing’s evolution and operator perspectives from the Americas," Transportation, Springer, vol. 42(3), pages 519-536, May.
    20. Matthew Clark & Kate Gifford & Jillian Anable & Scott Le Vine, 2015. "Business-to-business carsharing: evidence from Britain of factors associated with employer-based carsharing membership and its impacts," Transportation, Springer, vol. 42(3), pages 471-495, May.

    More about this item

    Keywords

    Mobility as a Service; Consumer behavior; Travel behavior; Urban mobility; Treebased classification model;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03687590. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.