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

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.