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Open AccessArticle

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

1
Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, Spain
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Unidad de Tecnologías de la Comunicación e Información, Florida Universitaria, Carrer del Rei en Jaume I, 2, 46470 Catarroja, Spain
3
Facultad de Ciencia y Tecnología, Universidad Isabel I, Calle de Fernan Gonzalez, 76, 09003 Burgos, Spain
*
Author to whom correspondence should be addressed.
Energies 2019, 12(4), 662; https://doi.org/10.3390/en12040662
Received: 21 December 2018 / Revised: 30 January 2019 / Accepted: 14 February 2019 / Published: 19 February 2019
(This article belongs to the Special Issue Energy-Aware Cyber-Physical Systems)
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. View Full-Text
Keywords: cyber-physical systems; smart systems; artificial intelligence; bike sharing system cyber-physical systems; smart systems; artificial intelligence; bike sharing system
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MDPI and ACS Style

Diez, C.; Palanca, J.; Sanchez-Anguix, V.; Heras, S.; Giret, A.; Julián, V. Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach. Energies 2019, 12, 662.

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