IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8245-d600398.html
   My bibliography  Save this article

A Recommender System for Mobility-as-a-Service Plans Selection

Author

Listed:
  • Konstantina Arnaoutaki

    (Institute of Computer and Communication Systems, National Technical University of Athens, 15780 Athens, Greece)

  • Efthimios Bothos

    (Institute of Computer and Communication Systems, National Technical University of Athens, 15780 Athens, Greece)

  • Babis Magoutas

    (Institute of Computer and Communication Systems, National Technical University of Athens, 15780 Athens, Greece)

  • Attila Aba

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics (BME), 1119 Budapest, Hungary)

  • Domokos Esztergár-Kiss

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics (BME), 1119 Budapest, Hungary)

  • Gregoris Mentzas

    (Institute of Computer and Communication Systems, National Technical University of Athens, 15780 Athens, Greece)

Abstract

Transportation and mobility in smart cities are undergoing a grave transformation as new ways of mobility are introduced to facilitate seamless traveling, addressing travelers’ needs in a personalized manner. A novel concept that has been recently introduced is Mobility-as-a-Service (MaaS), where mobility services are bundled in MaaS Plans and offered to end-users through a single digital platform. The present paper introduces a recommender system for MaaS Plans selection that supports travelers to select bundles of mobility services that fit their everyday transportation needs. The recommender filters out unsuitable plans and then ranks the remaining ones on the basis of their similarity to the users’ characteristics, habits and preferences. The recommendation approach is based on Constraint Satisfaction Problem (CSP) formalisms combined with cosine similarity techniques. The proposed method was evaluated in experimental settings and was further embedded in real-life pilot MaaS applications. The experimental results showed that the proposed approach provides lists of MaaS PlanMaaS Plans that users would choose in a real-life MaaS setting, in most of the cases. Moreover, the results of the real-life pilots showed that the majority of the participants chose an actual MaaS Plan from the top three places of the recommendation lists.

Suggested Citation

  • Konstantina Arnaoutaki & Efthimios Bothos & Babis Magoutas & Attila Aba & Domokos Esztergár-Kiss & Gregoris Mentzas, 2021. "A Recommender System for Mobility-as-a-Service Plans Selection," Sustainability, MDPI, vol. 13(15), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8245-:d:600398
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8245/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/15/8245/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charness, Gary & Gneezy, Uri & Kuhn, Michael A., 2012. "Experimental methods: Between-subject and within-subject design," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 1-8.
    2. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    3. 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.
    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. Alper Ozpinar, 2023. "A Hyper-Integrated Mobility as a Service (MaaS) to Gamification and Carbon Market Enterprise Architecture Framework for Sustainable Environment," Energies, MDPI, vol. 16(5), pages 1-22, March.
    2. Douglas Mitieka & Rose Luke & Hossana Twinomurinzi & Joash Mageto, 2023. "Smart Mobility in Urban Areas: A Bibliometric Review and Research Agenda," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    3. Sebastian Kussl & Andreas Wald, 2022. "Smart Mobility and its Implications for Road Infrastructure Provision: A Systematic Literature Review," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    4. Enayat Rajabi & Sławomir Nowaczyk & Sepideh Pashami & Magnus Bergquist & Geethu Susan Ebby & Summrina Wajid, 2023. "A Knowledge-Based AI Framework for Mobility as a Service," Sustainability, MDPI, vol. 15(3), pages 1-15, February.

    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. Kazi Iqbal & Asad Islam & John List & Vy Nguyen, 2021. "Myopic Loss Aversion and Investment Decisions: From the Laboratory to the Field," Framed Field Experiments 000730, The Field Experiments Website.
    2. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
    3. Ruhrort, Lisa, 2020. "Reassessing the Role of Shared Mobility Services in a Transport Transition: Can They Contribute the Rise of an Alternative Socio-Technical Regime of Mobility?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(19), pages 1-1.
    4. Jie, Yun, 2020. "Responding to requests for help: Effects of payoff schemes with small monetary units," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).
    5. Ederer, Florian & Stremitzer, Alexander, 2017. "Promises and expectations," Games and Economic Behavior, Elsevier, vol. 106(C), pages 161-178.
    6. Margot Racat & Antonin Ricard & René Mauer, 2024. "Effectuation and causation models: an integrative theoretical framework," Small Business Economics, Springer, vol. 62(3), pages 879-893, March.
    7. Daniel R Clark & Dan Li & Dean A Shepherd, 2018. "Country familiarity in the initial stage of foreign market selection," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(4), pages 442-472, May.
    8. He, Brian Yueshuai & Zhou, Jinkai & Ma, Ziyi & Wang, Ding & Sha, Di & Lee, Mina & Chow, Joseph Y.J. & Ozbay, Kaan, 2021. "A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City," Transport Policy, Elsevier, vol. 101(C), pages 145-161.
    9. Hermann, Daniel & Musshoff, Oliver & Agethen, Katrin, 2014. "I will never switch sides: an experimental approach to determine drivers for investment decisions of conventional and organic hog farmers," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183084, European Association of Agricultural Economists.
    10. Shane Timmons & Terence J. McElvaney & Peter D. Lunn, 2019. "An experiment for regulatory policy on broadband speed advertising," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 3(2), pages 17-24, December.
    11. Lisa Dang & Widar von Arx, 2021. "How Can Rail Use for Leisure and Tourism Be Promoted? Using Leisure and Mobility Orientations to Segment Swiss Railway Customers," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    12. Gionata Castaldi & Grazia Cecere & Mariangela Zoli, 2021. "“Smoke on the beach”: on the use of economic vs behavioral policies to reduce environmental pollution by cigarette littering," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1025-1048, October.
    13. Nadine Chlaß & Lata Gangadharan & Kristy Jones, 2023. "Charitable giving and intermediation: a principal agent problem with hidden prices," Oxford Economic Papers, Oxford University Press, vol. 75(4), pages 941-961.
    14. Castillo, Geoffrey, 2020. "The attraction effect and its explanations," Games and Economic Behavior, Elsevier, vol. 119(C), pages 123-147.
    15. Charness, Gary & Cobo-Reyes, Ramón & Sánchez, Ángela, 2016. "The effect of charitable giving on workers’ performance: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PA), pages 61-74.
    16. Erkut, Hande, 2022. "Social norms and preferences for generosity are domain dependent," Games and Economic Behavior, Elsevier, vol. 131(C), pages 121-140.
    17. Peggy J. Liu & Kelly L. Haws & Cait Lamberton & Troy H. Campbell & Gavan J. Fitzsimons, 2015. "Vice-Virtue Bundles," Management Science, INFORMS, vol. 61(1), pages 204-228, January.
    18. Liu, Zhiyong & Li, Ruimin & Dai, Jingchen, 2022. "Effects and feasibility of shared mobility with shared autonomous vehicles: An investigation based on data-driven modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 206-226.
    19. Hasselwander, Marc & Bigotte, Joao F. & Antunes, Antonio P. & Sigua, Ricardo G., 2022. "Towards sustainable transport in developing countries: Preliminary findings on the demand for mobility-as-a-service (MaaS) in Metro Manila," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 501-518.
    20. Militão, Aitan M. & Tirachini, Alejandro, 2021. "Optimal fleet size for a shared demand-responsive transport system with human-driven vs automated vehicles: A total cost minimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 52-80.

    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:gam:jsusta:v:13:y:2021:i:15:p:8245-:d:600398. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.