Effects of Topological Changes in the Individuals Decision-Making in relation to Transportation Methods in a City

The thesis+internship will explore the individual decision-making processes of travelers in an urban system using various forms of transport within a city. The candidate will develop a numerical model simulating the collective choice between different travel modes (bikes, cars, public transport), based on an evolutionary population game that will be coupled to a stylized modeling of the division of the street network's limited surface between bike lanes, public transport priority lanes, normal traffic lanes and parkings. This coupling will allow us to evaluate how policy decisions, that act at the street network level, influence the modal share dynamics.