Desire to change one's multimodality and its relationship to the use of different transport means

Document Type

Journal Article

Publication Date


Subject Area

ridership - mode choice, technology - intelligent transport systems


San Francisco Bay Area, Multimodal transportation, Multimodal systems, Mode choice, Modal choice, Mobility, Market segmented groups, Cluster analysis, Choice of transportation, Aggregation


Using data collected from French employees of a transportation institute and residents of the US San Francisco Bay Area, we operationalize a segmentation of mobility patterns based on objective, subjective, and desired amounts of mobility by various modes and overall. We especially focus on the degree of multimodality in an individual's current modal mix and desired changes to that mix through the use of a "multimodality index". The clusters that result showed some similarities and some differences across countries, where the latter are likely due to disparities in the sampling strategies and in the land use/transportation/cultural milieux. In both cases, however, the clusters have useful policy implications, enabling us, for example, to distinguish car users who might be inclined to reduce car use and increase transit use from those who are largely content with their current modal baskets.


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