TY - JOUR
T1 - From mobility patterns to behavioural change: leveraging travel behaviour and personality profiles to nudge for sustainable transportation
AU - Anagnostopoulou, Evangelia
AU - Urbancic, Jasna
AU - Bothos, Efthimios
AU - Magoutas, Babis
AU - Bradesko, Luka
AU - Schrammel, Johann
AU - Mentzas, Gregoris
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Behavioural change · Mobility patterns · Personality · Data-driven profile · Sustainable transportation
KW - Behavioural change · Mobility patterns · Personality · Data-driven profile · Sustainable transportation
U2 - 10.1007/s10844-018-0528-1
DO - 10.1007/s10844-018-0528-1
M3 - Article
SN - 0925-9902
SP - 1
EP - 22
JO - Journal of Intelligent Information Systems
JF - Journal of Intelligent Information Systems
ER -