  On-demand mobility services (FLEX) are often proposed as a solution for the
first/last mile problem. We study the potential of using FLEX to improve train
station access by means of a three-step sequential stated preference survey. We
compare FLEX with the bicycle, car and public transport for accessing two
alternative train stations. We estimate a joint access mode and train station
choice model. Estimating a latent class choice model with different nesting
structures, we uncover four distinct segments in the population. Two segments
(~50%) with a lower Willingness-to-Pay seem to be more likely to take-up FLEX.
Ex-urban car drivers seem to be the most likely segment to adopt FLEX, showing
great, since members of this segment are currently frequent users of the
private car. Our case study also shows that while FLEX competes primarily with
public transport when accessing local stations, it competes primarily with car
for reaching distant stations.
