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.
Highlights
Nowadays, urban mobility has become a crucial problem as population grows in cities, and so does pollution, traffic congestion, and the consumption of energy in the form of carbon-based fuels.In order to tackle this problem, many cities have implemented alternative transportation methods such as bike or car sharing systems
When the system wants to prevent the user from going to the selected destination station, it chooses an alternative station close enough, and the system uses the information provided by the transportation network analysis module and the bikes an parking availability prediction module to determine possible routes that may be interesting to the user and, help to balance the bike sharing system
In this paper an argumentation-based persuasive approach for recommending alternative stations for bike sharing systems has been proposed. This recommender is useful in bike sharing systems where users cannot always park their bikes in the desired station because the station is full at the time of the user’s arrival
Summary
Urban mobility has become a crucial problem as population grows in cities, and so does pollution, traffic congestion, and the consumption of energy in the form of carbon-based fuels. The digital transformation of cities into smart cities has provided us with a range of different information services that may be employed to implement a large mirage of applications devoted to improve urban mobility This has opened the door for the employment of new management strategies and policies based on information and cyber-physical systems. This way, the users can be used as balancing agents that help to provide a high quality service The scope of this persuasion system is for those bike sharing systems where it is not allowed to park the bicycle outside one of the stations (whether they are full or not).
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