While built environment characteristics, in particular transport infrastructure, play a pivotal role in modal practices (Ewing & Cervero, 2010, Van Acker et al., 2007), individual attributes, for instance travel dispositions and aptitudes, are equally decisive in the choice of modes of transport (Kaufmann, 2011). In this paper, we leverage a large panel survey dataset (n=10,202) covering the Greater Geneva region (straddling Switzerland and France) conducted in 2022. We pose three hypotheses. The first is that motility and accessibility both influence modal practices in specific ways. The second is that motility, defined as the potential to be mobile, varies as a function of the accessibility of one's environment. Finally, we hypothesize that motility has a compensatory dimension for deficiencies in accessibility. In order to test these, we adopt a Structural Equation Modeling (SEM) approach (Hoyle, 2014). We construct three latent variables-Motility, Accessibility and Mode Choice-which are first tested individually with Confirmatory Factor Analysis. The complex relationship between these three aspects is then evaluated with a SEM model. The model converges, with appropriate indicators of fit, and shows that motility is strongly connected with alternative mode choice, to a greater extent than accessibility. Results also show that individuals living in more accessible environments tend to possess higher motility, countering our third hypothesis.