Achieving sustainability objectives necessitates a transformation in passenger mobility behaviour. This paper introduces a Generative AI framework developed by the MUV platform to address the enduring attitude-behaviour gap in sustainable urban mobility. Anchored in Self-Determination Theory, the system utilises behavioural, contextual, and qualitative data to create personalised competitions that enhance intrinsic motivation. The framework features a threelayer architecture and a virtual mobility trainer to support game dynamics, while federated learning and bias audits provide ethical safeguards. The framework is set to be piloted at ISPRA, with a mixed-methods evaluation planned to assess its impact on behaviour and inclusivity. This study presents a replicable model for responsible AI-driven behavioural change in alignment with the European Green Deal.

Di Dio, S., Schillaci, D. (2025). GenAI for Sustainable Mobility Behavior Change: Building MUV's AI Driven Game Engine. In 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems [10.1109/MT-ITS68460.2025.11223550].

GenAI for Sustainable Mobility Behavior Change: Building MUV's AI Driven Game Engine

Di Dio, Salvatore;Schillaci, Domenico
2025-11-01

Abstract

Achieving sustainability objectives necessitates a transformation in passenger mobility behaviour. This paper introduces a Generative AI framework developed by the MUV platform to address the enduring attitude-behaviour gap in sustainable urban mobility. Anchored in Self-Determination Theory, the system utilises behavioural, contextual, and qualitative data to create personalised competitions that enhance intrinsic motivation. The framework features a threelayer architecture and a virtual mobility trainer to support game dynamics, while federated learning and bias audits provide ethical safeguards. The framework is set to be piloted at ISPRA, with a mixed-methods evaluation planned to assess its impact on behaviour and inclusivity. This study presents a replicable model for responsible AI-driven behavioural change in alignment with the European Green Deal.
nov-2025
Settore CEAR-08/D - Design
Di Dio, S., Schillaci, D. (2025). GenAI for Sustainable Mobility Behavior Change: Building MUV's AI Driven Game Engine. In 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems [10.1109/MT-ITS68460.2025.11223550].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/699712
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