Modelling impacts of beliefs and attitudes on mode choices. Lessons from a survey of Luxembourg cross-border commuters
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2018
- ISIDORE Id: 10670/1.f92f0d...
- halshs: halshs-01912734
- doi: 10.1016/j.trpro.2018.10.037
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.trpro.2018.10.037
info:eu-repo/semantics/OpenAccess
Mots-clés
Mobility survey Structural equation modelling Attitudes and beliefs Satisfaction Data-mining Semantic differentialsSujets proches
Modelmaking Modelling Model-making Molding (Clay, plaster, etc.) Clay modeling Modelling Mobility Internal migrationCiter ce document
Philippe Gerber et al., « Modelling impacts of beliefs and attitudes on mode choices. Lessons from a survey of Luxembourg cross-border commuters », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1016/j.trpro.2018.10.037
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Résumé
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.
