Route choice modelling, used in transport planning disciplines to model a set of potential routes that a person may chose based on individual preferences and route characteristics (Prato, 2009), can be used to explore potential environmental exposures during the commute. However, these methods are often not adopted due to the need for specialist knowledge and software (Aldred, 2014) meaning that the evidence base available to inform interventions is potentially limited by the uncertainties inherent in more basic route modelling, usually performed using geographic information system (GIS) software, to identify shortest or fastest paths between origins and destinations (