Transit planning traditionally emphasizes the spatial dimension of accessibility; networks are built to bridge locations in the city with the assumption that the provision of spatial connectivity is equivalent to providing people with access to their destinations. However, often underrepresented in transit analyses, is that travel time, not network proximity, is the fundamental unit of influence over people's travel behavior. It is the time lost in travel that drives whether or not people will… Read More

Cities such as San Francisco, Atlanta, and Portland are using novel methods of data collection to learn more about the use of their bicycle infrastructure. These data can help transportation planners better design or upgrade bicycle facilities. San Francisco created an open-source project, Cycle Tracks, a mobile app used to collect bike path data from bicyclists’ smartphones. These data then were used in the SF-CHAMP travel demand model to forecast how attractive Bike Facility A would be… Read More