View Nicholas Stoll's presentation slides
View Nicholas Kobel's presentation slides
Nicholas Stoll, Graduate Research Assistant, Portland State University
Topic: Utilizing High Resolution Bus GPS Data to Visualize and Identify Congestion Hot-spots in Urban Arterials
The research uses high resolution bus data to examine sources of delay on urban arterials. A set of tools were created to help visualize trends in bus behavior and movement, which allowed for larger traffic trends to be visualized along urban corridors and urban streets. By using buses as probes and examining aggregated bus behavior, contoured speed plots were used to understand the behavior of roadways outside the zone of influence of bus stops. These speed plots can be utilized to discover trends and travel patterns with only a few days’ worth of data. Congestion and speed variation can be viewed by time of day and plots can help indicate delays caused by intersections, crosswalks, or bus stops.
This type of information is important to transit authorities looking to improve bus running times and reliability. Congested areas can be detected and ranked. Speed plots can be utilized to reevaluate bus stop locations, e.g. near-side vs. far-side, and to identify locations where improvement are needed, e.g. queue jump lanes. Transportation agencies can also benefit from this type of information because arterial performance measures are difficult to estimate.
Nicholas Kobel, Economic Planner, City of Portland Bureau of Planning and Sustainability
Topic: Evaluation of an Electric Bike Pilot Project at Three Employment Campuses in Portland, Oregon
Electric bicycles are growing more popular every year, but little research yet exists on how they might play a role in our transportation systems. Much of the literature on biking for transportation focuses on the standard bicycle and infrastructure to support it, less so on the vehicle itself. This project evaluates an electric bicycle program at three Kaiser Permanente campuses in the Portland, Oregon metropolitan area and examines participants' impressions of e-bikes.
Results support the hypothesis that e-bikes allow for a broader participation in cycling and for existing cyclists to go to more places.