Cycling Route Choice Preferences: A Taste Heterogeneity and Exogenous Segmentation Analysis Based on Age, Gender, Geller Typology, and E-Bike Use

Abstract

A range of factors influences cyclists’ route choices, yet infrastructure design often fails to account for the diverse preferences and needs of different groups. This study examines cycling route choice preferences using revealed preference GPS data from Melbourne, Australia. Path Size Logit (PSL) and Mixed Path Size Logit models are estimated to capture path correlation due to overlapping routes and taste heterogeneity in route choice preferences among cyclist groups, segmented by age, gender, e-bike use, and Geller typology. Using a hybrid generalized Breadth-First Search on Link Elimination (BFS-LE) approach, the study enhances the quality and diversity of the generated choice set. Resul..