MODELING ROUTE CHOICE BEHAVIOUR IN PUBLIC TRANSPORT NETWORK

Abstract

This thesis focuses on identifying relevant factors that affect passengers’ pre-trip route choice behavior on multimodal public transport network. Empirically, it evaluates different choice set generation methods under a comprehensive evaluation framework, and it identifies relevant factors that affects passenger route choice behavior on public transport network using revealed preference data from smart card and surveys. Methodologically, it formulates a new path-size definition to address the correlation during path-overlapping on public transport network, and it proposes a latent class choice model framework to address the availability issues of different access/egress modes in modeling route choice behavior of complete public transport trips. Last but not least, the application on MRT network has translational impact on the current travel data collected in Singapore as it complements the missing transfer station in smart card data. It demonstrates how to apply the model and get realistic estimation of travel flows on MRT stations and service lines.