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.
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