Latest revision as of 21:52, 22 March 2021

Abstract

Rendering transport behaviours more sustainable is a pressing issue of our times. In this paper, we rely on the deep penetration of mobile phones in order to influence citizens’ behavior through data-driven mobility and persuasive profiles. Our proposed approach aims to nudge users on a personalized level in order to change their mobility behavior and make more sustainable choices. To achieve our goal, first we leverage pervasive mobile sensing to uncover users’ mobility patterns and use of transportation modes. Second, we construct users’ persuadability profiles by considering their personality and mobility behavior. With the use of the aforementioned information we generate personalized interventions that nudge users to adopt sustainable transportation habits. These interventions rely on persuasive technologies and are embedded in a route planning application for smartphones. A pilot study with 30 participants using the system for 6 weeks provided fairly positive evaluation results in terms of the acceptance of our approach and revealed instances of behavioural change.

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• http://dx.doi.org/10.1007/s10844-018-0528-1 under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.1007/s10844-018-0528-1 under the license https://creativecommons.org/licenses/by/4.0

• https://link.springer.com/content/pdf/10.1007/s10844-018-0528-1.pdf under the license https://creativecommons.org/licenses/by/4.0

• http://link.springer.com/content/pdf/10.1007/s10844-018-0528-1.pdf,

http://link.springer.com/article/10.1007/s10844-018-0528-1/fulltext.html,

http://dx.doi.org/10.1007/s10844-018-0528-1 under the license cc-by

• https://link.springer.com/article/10.1007/s10844-018-0528-1,

https://dblp.uni-trier.de/db/journals/jiis/jiis54.html#Anagnostopoulou20,

https://doi.org/10.1007/s10844-018-0528-1,

https://academic.microsoft.com/#/detail/2895170793 under the license https://creativecommons.org/licenses/by/4.0