Abstract
This article contributes to the growing research and policy interest on the challenges of achieving socially sustainable transportation. It analyses the determinants of transport mode use for journey to work among population groups considered as vulnerable to mobility and accessibility limitations. Using the 2001 Census of Canada, multilevel multinomial logistic regression models were estimated to assess the personal, social and economic factors that affect travel mode use of low-income persons in their journey to work in urban areas in Ontario and Quebec. The findings show important differences in the factors associated with car driving and public transit, between genders, and according to income level, educational achievement, household structure and immigration status. Furthermore, it is found that significant factors affecting travel mode use among low-income people in various urban areas are differentiated by province. The results point towards a geographic-based and balanced promotion of public and private mobility programmes and policies to address transport needs of low-income workers.
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