As the number of urban dwellers worldwide increases and as governments struggle to meet the pressure a concurrent rise in personal travel places on cities, the importance in understanding travel demand becomes vital. Traditional approaches to understanding the interaction between built form and travel have focused on individual indicators such as population density or land use mix, while measuring outputs such as vehicle kilometers travelled or mode share. Activity spaces, in contrast, are a relatively new and underexplored measure of travel demand which looks at the distribution of trips throughout space. These activity spaces are the focus of the following manuscript. 
A variety of land use and accessibility measures are described and calculated, the goal being to discern their effect on activity spaces in the Montreal, Sherbrooke and Quebec metropolitan regions. Clustering is used to find representative combinations of urban form indicator values, or neighborhoods, after which statistical analysis is employed to quantify the relationships between these clusters and the travel patterns of the households living in them. The primary data sources for mobility are origin-destination surveys conducted 5 years apart in each city; three such surveys were used for Montreal, two for Quebec and one for Sherbrooke.
Results indicate that neighborhood type has a significant effect on the dispersion of travel, even after controlling for household size and type, number of trips and other demographic characteristics. Another key finding is that average activity space size is correlated with overall city size. Finally, the geometry of trip distribution is related to propensity for using specific transportation modes.