This study applies discrete choice models for analysing travel and location choice behaviour of different populations in a suburban rail corridor. The models developed in the study provide flexible structures in estimating the interactive relationships of variables across individuals and alternatives in housing preferences. Statistically significant indicators are identified to explain travel and residential behavioural heterogeneity. A comparison of results derived from three different data sets from the corridor – Corridor Population, Working Population and Mawson Lakes Population – demonstrates the different needs and demands to which policy and plans need to respond. While all three modelled populations show similar characteristics in residential location choice (e.g. house type, affordability and the distance from house to train station), different preferences exist, such as the Working Population seeking more residential parking while the Mawson Lakes Population desires a better walking environment. This implies that policy should accordingly target different population groups. The results suggest that amendments to existing land use and transport plans are required, particularly in regard to detailed improvements to public transport services.