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This article uses structural equation models (SEM) as a data-mining tool to unravel the endogenous relationships among attitudinal measurements, satisfaction and the perceived utility within the theory of planned behaviour. Based on a mobility survey among Luxembourg cross-border workers, this experiment yields a critical view about the specification of measurement indicators to be used for the survey of attitudes and beliefs and to test SEM as an exploration and data-mining tool. The findings show that: the impact of attitudes on mode choice is mediated by self-reported satisfaction with commuting. Furthermore, using SEM with semantic differentials is efficient to estimate attitudes about transport modes in complement of Likert scales used for beliefs.

Modelling impacts of beliefs and attitudes on mode choices. Lessons from a survey of Luxembourg cross-border commuters