Reducing Automobile Dependency on Campus: Evaluating the Impact TDM Using Stated Preferences

In this paper, we evaluate the potential impacts of travel demand management strategies to reduce the commuting mode share of automobiles using stated preference data. The analysis is carried out on members of Université Laval in Quebec City (Canada). We measure the impact of travel time and cost as well as attitudes toward automobile, public transit and the environment. We find elasticities with respect to time and cost parameters that are low implying that large changes are required to have a noticeable impact. We find however that combining several policy interventions is more effective. Policies aiming at reducing automobile dependency by changing attitudes do not appear to be particularly effective.