This brief analyzes the approach and findings of the UCLA partnership with the Saban Community Clinic in piloting a transportation research fair.
A growing number of communities are discovering the value of their streets as important public spaces for many aspects of daily life. This manual presents an opportunity to these communities to design their streets for health, safety, livability, sustainability, and more.
Scholars, municipalities and federal agencies have proposed new measures for evaluating street performance for non-automobile modes including transit service, bicyclists and pedestrians.
This paper concerns the methods for calculating Pedestrian Level of Service and Bicycle Level of Service as they are presented in the 2010 Highway Capacity Manual.
Bicycle and pedestrian counts enable robust understanding of costs, benefits, behavior, and more. Data from four San Gabriel Valley cities provide an understanding of the effectiveness of walking and cycling infrastructure and safety investment.
Bicycle and pedestrian counts enable robust understanding of costs, benefits, behavior, and more. Data from the City of Carson provide an understanding of the effectiveness of walking and cycling infrastructure and safety investment.
Bicycle and pedestrian counts enable robust understanding of costs, benefits, behavior, and more. Data from the City of Cudahy provide an understanding of the effectiveness of walking and cycling infrastructure and safety investment.
Following the first parklet installation in San Francisco in 2010, cities across the United States and Canada have started installing parklets at an ever-increasing rate. This study examines a variety of effects of two Downtown Los Angeles parklets on their surrounding neighborhood.
Parklets are small public spaces created by converting parking spots into recreational areas for people. The city of Los Angeles installed its first parklets in early 2013, and this study seeks to examine the effect of these two parklets on their adjacent downtown community.
This white paper identifies potential relationships between improved bicycle count data and travel demand modeling in the Los Angeles region.
