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The research presented here explores the interactions between land use, household structure and travel patterns. The data are from an extensive travel diary of over 100,000 households in the Land of Upper Austria, combined with extensive data on land uses and local economic activities. Structural equation models are developed at both the person and household levels to explain mobility simultaneously in terms of socio-economic and spatial variables. The observed endogenous variables in these models include car ownership, rates of trip and journey (trip chain) generation, distance travelled, mean speed, and the interaction between distance and speed. Latent factors associated with mobility level and mobility intensity are formulated from these observed variables. It was found that socio-demographic factors affect mobility mostly through car availability, while spatial factors tend to affect mobility independent of car availability.

Mobility as a function of social and spatial factors: The case of the Upper Austria Region