Trip chaining is a growing phenomenon in travel and activity behaviour. Ind
ividuals increasingly seek out opportunities to minimise the amount of trav
el required as part of activity fulfilment, given the competing demands on
time budgets and their valuation of travel time savings. This search for wa
ys of fulfilling (more) activities with less travel input has produced a nu
mber of responses, one of which is trip chaining. A particularly important
policy implication of trip chaining is the potential barrier it creates in
attracting car users to switch to public transport. This paper seeks to imp
rove our understanding of trip chaining as a barrier to public transport us
e. A series of discrete choice models are estimated to identify the role th
at socio-economic and demographic characteristics of households have on the
propensity to undertake trip chains of varying degrees of simplicity/compl
exity that involve use of the car or public transport with an embedded comm
uting or non-commuting primary purpose. Multinomial logit, nested logit and
random parameter logit models are developed and contrasted to establish th
e gains in relaxing the strict conditions of the multinomial logit model.