Research Highlights
Agent-Based Model Simulating Pedestrian Behavioral Response to Environmental Structural Changes
Amy Lobben
Christopher Bone
Our research focused on understanding the travel behavior of individuals in complex urban environments. Specifically, we investigated how land use patterns and infrastructure influence how individuals across a broad range of travel abilities navigate through urban landscapes. Our overall project goal was to develop a transportation planning tool that allows users to simulate pedestrian travel behavior. The tool was built on a computation model that was developed through rigorous measures and ...
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Rapidly Expanding Mobile Apps for Crowd-sourcing Bike Data to New Cities
Sean Barbeau
Nevine Georggi , Julie Bond
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 comp...
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