Route Choice Preference of Cyclists: an agent-based simulation model for the city of Utrecht

Abstract

This research serves an informative guide and a repeatable approach regarding creating an agent-based modeling of cyclists route-choice preferences. It provides innovative features for the agent-based modeling of cyclists and urban planning domain. The study seeks to determine the underlying reasons for route choices made by cyclists and tries to implement these reasons as the parameters of cyclist agents route choice behavior in the agent-based model, on the given bike road network.