Enriching Travel Demand Forecasting Models with a Household Typology

Abstract

In the Québec province, in Canada, travel demand forecasting relies mainly on individual characteristics, whereas it appears that individual mobility behaviors also significantly depend on the attributes of relatives and people who live in the same household. This paper aims to better understand the interactions between the household structure and individual mobility behavior, as well as the effects of the age and life cycle of individuals and their relatives on individual trips. Considering that personal mobility is dependent on household attributes, a household typology is proposed to be included in the travel demand forecasting approach, which is initiated with large-scale household travel surveys. An allocation model of the people to a household type completes the process, so that in the future, transport demand could be predicted considering the person herself as well as her household type.

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