Understanding the travel behaviors of individuals who use public transit is essential for enhancing the performance, sustainability and efficiency of public transportation. Contemporary methods for collecting data on transportation behavior are focused on manual or automated procedures for counting the number of individual passengers entering or exiting transit vehicles. While such methods provide useful data for understanding transit demand throughout a network, they ignore the important… Read More

The University of Oregon has developed a catalytic learning model that simultaneously meets the needs of both the next generation’s transportation workforce and cities looking for innovative and catalytic ways to advance a new era of transportation goals. Named the Sustainable City Year Program (SCYP), the model links local community priorities (as expressed through local plans and city council goals) with courses from a range of disciplines at a nearby university. The UO program engages 500+… Read More