Identifying and modelling cognitive biases in mobility choices
This work addresses the need for realistic simulations of mobility choices to support serious games for the mobility transition, but it appears incremental as it builds on existing agent-based modeling techniques.
The study tackled the problem of modeling realistic daily mobility choices by surveying real mobility decisions to identify cognitive biases, and then implemented these biases in an agent-based simulation using GAMA to serve as a basis for a serious game about mobility transition.
This report presents results from an M1 internship dedicated to agent-based modelling and simulation of daily mobility choices. This simulation is intended to be realistic enough to serve as a basis for a serious game about the mobility transition. In order to ensure this level of realism, we conducted a survey to measure if real mobility choices are made rationally, or how biased they are. Results analysed here show that various biases could play a role in decisions. We then propose an implementation in a GAMA agent-based simulation.