Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach
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. Mor...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/4/662 |
| _version_ | 1798035014431014912 |
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| author | Carlos Diez Javier Palanca Victor Sanchez-Anguix Stella Heras Adriana Giret Vicente Julián |
| author_facet | Carlos Diez Javier Palanca Victor Sanchez-Anguix Stella Heras Adriana Giret Vicente Julián |
| author_sort | Carlos Diez |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T20:52:14Z |
| format | Article |
| id | doaj.art-cdf8c1fea53a4194a280172d16fd3065 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T20:52:14Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-cdf8c1fea53a4194a280172d16fd30652022-12-22T04:03:49ZengMDPI AGEnergies1996-10732019-02-0112466210.3390/en12040662en12040662Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation ApproachCarlos Diez0Javier Palanca1Victor Sanchez-Anguix2Stella Heras3Adriana Giret4Vicente Julián5Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, SpainDepartamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, SpainUnidad de Tecnologías de la Comunicación e Información, Florida Universitaria, Carrer del Rei en Jaume I, 2, 46470 Catarroja, SpainDepartamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, SpainDepartamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, SpainDepartamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camí de Vera s/n, 46022 València, SpainThis 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.https://www.mdpi.com/1996-1073/12/4/662cyber-physical systemssmart systemsartificial intelligencebike sharing system |
| spellingShingle | Carlos Diez Javier Palanca Victor Sanchez-Anguix Stella Heras Adriana Giret Vicente Julián Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach Energies cyber-physical systems smart systems artificial intelligence bike sharing system |
| title | Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach |
| title_full | Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach |
| title_fullStr | Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach |
| title_full_unstemmed | Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach |
| title_short | Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach |
| title_sort | towards a persuasive recommender for bike sharing systems a defeasible argumentation approach |
| topic | cyber-physical systems smart systems artificial intelligence bike sharing system |
| url | https://www.mdpi.com/1996-1073/12/4/662 |
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