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Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach

Author

Listed:
  • Carlos Diez

    (Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, Spain)

  • Javier Palanca

    (Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, Spain)

  • Victor Sanchez-Anguix

    (Unidad de Tecnologías de la Comunicación e Información, Florida Universitaria, Carrer del Rei en Jaume I, 2, 46470 Catarroja, Spain
    Facultad de Ciencia y Tecnología, Universidad Isabel I, Calle de Fernan Gonzalez, 76, 09003 Burgos, Spain)

  • Stella Heras

    (Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, Spain)

  • Adriana Giret

    (Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, Spain)

  • Vicente Julián

    (Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, Spain)

Abstract

This work proposes a persuasion model based on argumentation theory and users’ characteristics for improving the use of resources in bike sharing systems, fostering the use of the bicycles and thus contributing to greater energy sustainability by reducing the use of carbon-based fuels. More specifically, it aims to achieve a balanced network of pick-up and drop-off stations in urban areas with the help of the users, thus reducing the dedicated management trucks that redistribute bikes among stations. The proposal aims to persuade users to choose different routes from the shortest route between a start and an end location. This persuasion is carried out when it is not possible to park the bike in the desired station due to the lack of parking slots, or when the user is highly influenceable. Differently to other works, instead of employing a single criteria to recommend alternative stations, the proposed system can incorporate a variety of criteria. This result is achieved by providing a defeasible logic-based persuasion engine that is capable of aggregating the results from multiple recommendation rules. The proposed framework is showcased with an example scenario of a bike sharing system.

Suggested Citation

  • Carlos Diez & Javier Palanca & Victor Sanchez-Anguix & Stella Heras & Adriana Giret & Vicente Julián, 2019. "Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach," Energies, MDPI, vol. 12(4), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:662-:d:207090
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    References listed on IDEAS

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    1. Evangelia Anagnostopoulou & Efthimios Bothos & Babis Magoutas & Johann Schrammel & Gregoris Mentzas, 2018. "Persuasive Technologies for Sustainable Mobility: State of the Art and Emerging Trends," Sustainability, MDPI, vol. 10(7), pages 1-22, June.
    2. Linfeng Li & Miyuan Shan, 2016. "Bidirectional Incentive Model for Bicycle Redistribution of a Bicycle Sharing System during Rush Hour," Sustainability, MDPI, vol. 8(12), pages 1-15, December.
    3. Erdoğan, Güneş & Laporte, Gilbert & Wolfler Calvo, Roberto, 2014. "The static bicycle relocation problem with demand intervals," European Journal of Operational Research, Elsevier, vol. 238(2), pages 451-457.
    4. Schuijbroek, J. & Hampshire, R.C. & van Hoeve, W.-J., 2017. "Inventory rebalancing and vehicle routing in bike sharing systems," European Journal of Operational Research, Elsevier, vol. 257(3), pages 992-1004.
    5. Alvarez-Valdes, Ramon & Belenguer, Jose M. & Benavent, Enrique & Bermudez, Jose D. & Muñoz, Facundo & Vercher, Enriqueta & Verdejo, Francisco, 2016. "Optimizing the level of service quality of a bike-sharing system," Omega, Elsevier, vol. 62(C), pages 163-175.
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