Identifying and modelling cognitive biases in mobility choices
Computers and Society
2024-02-16 v1 Artificial Intelligence
Multiagent Systems
Abstract
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.
Cite
@article{arxiv.2402.09921,
title = {Identifying and modelling cognitive biases in mobility choices},
author = {Chloe Conrad and Carole Adam},
journal= {arXiv preprint arXiv:2402.09921},
year = {2024}
}
Comments
M1 internship report from Univ. Lyon 1 Claude Bernard. Internship was from October 2022 to June 2023