Identifying and modelling cognitive biases in mobility choices
Chloe Conrad, Carole Adam

TL;DR
This paper investigates cognitive biases in daily mobility choices through a survey and develops an agent-based simulation to model these biases, aiming to create a realistic tool for a mobility transition serious game.
Contribution
It introduces a survey-based analysis of cognitive biases in mobility decisions and implements these biases in an agent-based simulation model.
Findings
Various cognitive biases influence mobility choices
Mobility choices are not always made rationally
The simulation incorporates identified biases for realism
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.
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Taxonomy
TopicsUrban Transport and Accessibility · Transportation and Mobility Innovations · Aviation Industry Analysis and Trends
