Research has demonstrated the significant impacts of urban parking on traffic congestion and behaviour. This project focused on parking solutions in urban areas in the context of supply and demand of on-street parking, road congestion, transportation networks and traffic flows, parking by-laws, “smart parking”, pricing models and other factors. It built on previous research that analysed the relationships between parking supply, demand and the incidence of illegal commercial vehicle parking and developed a prototype traffic simulation tool that incorporates the driver decisions of parking space choice, and simulates the effects of parking search patterns on traffic congestion. This project expanded upon these preliminary efforts to deliver:
1. Enhanced behavioural models of parking choice.
2. A traffic simulation model of downtown Toronto and the Waterfront Area with auto and truck parking features.
3. Parking policy scenario analysis.