This paper demonstrates the possibility and the viability of combining new data resources with traditional surveys to estimate a mode choice model for work/school trips. These modelling tools are used to evaluate the effects of behaviour change. Its purpose is to examine the travel mode choice preference of commutes to work/school. The proposed model is tested using a travel survey conducted in the Flanders region in Belgium referred to as the Onderzoek Verplaatsingsgedrag 5 (OVG), which translates to research on travel behaviour. The objective is to analyse the correlation between mode choice, mode characteristics and socio-economic attributes of individuals. These are computed using a multinomial logit model (MNL) through a utility function. After testing out the significance and correlation of over 50 mode-specific and individual-specific characteristics using the Biogeme package, travel time, education level, and income level were identified as the attributes with the highest utility in the model. The ...