Exploring the road safety impacts of public transport: a case study of Melbourne

This paper explores the impacts of travel to work by public transport on road safety at a macroscopic level using a case study of Melbourne. Random effect negative binomial regression is employed to model crashes at the statistical area level 2 (SA2). Results indicate that using public transport (i.e. train, tram, and bus) for travelling to work tends to reduce severe as well as total crashes, highlighting the great potential of public transport as a road safety solution. Safety issues related to cycling, walking, and motorcycling to work are also discussed.