Analysis of vehicle ownership evolution in Montreal, Canada using pseudo panel analysis

This paper employs a pseudo‐panel approach to study vehicle ownership evolution in Montreal region, Canada using cross‐sectional origin–destination survey datasets of 1998, 2003 and 2008. Econometric modeling approaches that simultaneously accommodate the influence of observed and unobserved attributes on the vehicle ownership decision framework are implemented. Specifically, we estimate generalized versions of the ordered response model–including the generalized, scaled‐ and mixed‐generalized ordered logit models. Socio‐demographic variables that impact household’s decision to own multiple cars include number of full and part‐time working adults, license holders, middle aged adults, retirees, male householders, and presence of children. Increased number of bus stops, longer bus and metro lengths within the household residential location buffer area decrease vehicle fleet size of households. The observed results also varied across years as manifested by the significance of the interaction terms of some of the variables with the time elapsed since 1998 variable. Moreover, variation due to unobserved factors are captured for part‐time working adults, number of bus stops, and length of metro lines. In terms of the effect of location of households, we found that some neighborhoods exhibited distinct car ownership temporal dynamics over the years.