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Research Highlights

Network Effects of Disruptive Traffic Events

Juan Medina
Xiaoyue Cathy Liu
Current traffic management strategies are based on expected conditions caused by recurring congestion (e.g. by time of day, day of week), and can be very effective when provisions are also given for reasonable variations from such expectations. However, traffic variations due to non recurrent events (e.g. crashes) can be much larger and difficult to predict, making also challenging efforts to measure and forecast their disruptive effects. This project explores a proactive approach to manage n... Read More

Active Travel Behavior and Spatial-Temporal Land Use Mixing

Steven Gehrke
Urban policies have emphasized the importance of land use mixing as an intervention beholding of lasting planning and public health benefits. Transportation planners have identified potential in efficiency gains achieved by increasing land use mix and the subsequent shortening of trip lengths; whereas, public health research has accredited increased land use mixing as an effective policy for facilitating greater physical activity. However, despite the myriad benefits and extent of topical res... Read More