An agent-based model of modal choice with perception biases and habits

TL;DR

This paper introduces an agent-based simulation model of mobility choices that incorporates human perception biases and habits, enabling analysis of urban infrastructure impacts on modal preferences.

Contribution

It develops a novel Netlogo-based agent model integrating perception biases and habits, calibrated with survey data, for exploring mobility decision dynamics.

Findings

Model effectively simulates the influence of perception biases and habits on modal choice.

Calibration with survey data enhances model realism.

Online simulation tool allows interactive exploration of urban infrastructure effects.

Abstract

This paper presents an agent-based model of mobility choice, influenced by human factors such as habits and perception biases. It is implemented in a Netlogo simulator, calibrated from results of an online survey about perceptions of mobility. The simulator can be played online. It allows to modify urban infrastructure and observe modal report.