Analysing the potential for modal shift based on the logic of modal choice

Figures & data

Fig. 1: Metropolitan areas (Geneva, Lausanne and Bern) and sectors for surveying.

Tab. 1: Structure of the working sample by sex, age, education and household composition, in % of respondents.

Tab. 4: Description of the eight modal choice logics in the typology used since 2018.

Tab. 2: Variables included in the ordinal logistic regression model.

Fig. 2: Average weekly frequency of mode use by purpose and residential context (metropolitan areas), in trip-days (for calculation method: Kaufmann et al. 2020).

Tab. 3: Proportion of season ticket holders by residential context (metropolitan areas), in % of respondents.

Tab. 5: Distribution by modal choice logic by residential context (metropolitan areas), in % of respondents.

Tab. 6: Average weekly frequency of use of individual motorised transport by modal choice logic by residential context (metropolitan areas), in trip-days.

Tab.7: Participation in overall MIT traffic by modal choice logic by residential context (metropolitan areas), in % of MIT trip-days.

Tab.8: Ordinal logistic regression⁶ analysis (dependent variable: ordinal frequency of MIT use for commuting).

Kaufmann, V.; Gonzalez, J.; Bernier, E.; Drevon, G.; Messer, M. A. (2020): Analyse prospective des logiques de choix modal auprès de la population active urbaine (Cahier du LaSUR, 33E). Lausanne: EPFL, Faculté de L’Environnement Naturel, Architectural et Construit, Laboratoire de Sociologie Urbaine.

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