4. Conclusions and discussions
In this paper an agent-based model is presented to reproduce the social interaction in a participatory decision-making process about a transport decision. Social interaction is reproduced via a multi-state opinion dynamics model with 3 different opinions (approval, disapproval, neutral opinion). The model was applied in a very simple case study, both to test the model and to capture the intrinsic essence of the complex phenomena of social interaction. The decision-making process regards the introduction of a parking charge inside a University Campus, where a restricted and homogeneous community of people (professors) with the same interest made quite reasonable the simple opinion dynamics model we implemented. Simulation results show that a high connectivity helps the communication among nodes, in particular when different departments are highly connected, and it takes few time to reach the final decision; on the contrary, few links slow down the process and sometimes it requires too much time to reach consensus or dissent. A substantial majority in favour of the proposal would likely lead to consensus, while the outcome is not trivial with more divergent opinions or when the favourable group is composed of influential agents.