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The "Fast Track" project at the University of Oregon focuses on a mode of transportation that is sometimes left out of vehicle-to-infrastructure, or V2I, conversations: Bicycling. NITC researchers developed an app based on a new technology being integrated into modern cars: GLOSA, or Green Light Optimized Speed Advisory. GLOSA allows motorists to set their speed along corridors to maximize their chances of catching a "green wave" so they won't have to stop at red lights.

This project demonstrates how GLOSA can be used by bicyclists in the same way it is used by motorists, with a test site on a busy car and bike corridor feeding the University of Oregon campus: 13th Avenue in Eugene, Oregon. Researchers developed a smartphone app that tells a cyclist whether they should adjust their speed to stay in tune with the signals and catch the next green. The project demonstrates how university researchers, city traffic engineers, and signal-controller manufacturers can come together to help bicyclists be active participants in a smart transportation system.

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Summary: Cycling is on the rise across the U.S. and its popularity has grown beyond the usual leaders - Portland, OR, Seattle, WA, Davis, CA, Minneapolis, MN and Boulder, CO. New York City, NY Chicago, IL and Washington, DC are among those cities making significant investments in bike infrastructure in recent years and have realized substantial growth in people taking to the streets on two wheels. This presentation will summarize some results from our comprehensive assessment of the safety, operations, economic impacts, user experience, and perceptions of new protected bikeways in 5 cities U.S. cities (Austin, TX; Chicago, IL; Portland, OR; San Francisco, CA; and Washington, D.C.). To support this research, the team collected and analyzed 204 hours of video, 2,300 returned surveys of residents, and 1,111 returned surveys from people intercepted riding the new facilities.

Bios: Dr. Christopher M. Monsere is an Associate Professor of Civil and Environmental Engineering in the Maseeh College of Engineering & Computer Science at Portland State University. Dr. Monsere’s primary research interests are in the areas of multimodal transportation safety; management and dissemination of large transportation datasets; and...

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Summary: This presentation is a showcase of various GIS tools developed for bicycle network analysis and planning. The showcase includes a tool for assessing community-wide bikeability, a tool for forecasting bicycle volumes based on street topology, and a tool for evaluating different bicycle improvement plans in terms of exposure to danger situations for bicyclists. The tools will be demonstrated with case study data. The presentation will include a review of the Highway Capacity Manual Bicycle Level of Service and a discussion about using bicycle and pedestrian data collected through citizen-volunteer count programs.

Bio: Dr. Michael Lowry holds a joint appointment in Civil Engineering and Bioregional Planning at the University of Idaho. He is an affiliate researcher for the National Institute for Advanced Transportation Technology. His research focuses on capital investment decision-making and transportation planning for bicyclists and pedestrians. Dr. Lowry teaches courses related to sustainable transportation, engineering statistics, and economic analysis. He received his PhD in Civil and Environmental Engineering from the University of Washington and BS and MS from Brigham Young University.

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Abstract: Existing regional travel forecasting systems are not typically set up to forecast usage of bicycle infrastructure and are insensitive to bicyclists' route preferences in general. We collected revealed preference, GPS data on 162 bicyclists over the course of several days and coded the resulting trips to a highly detailed bicycle network model. We then use these data to estimate bicyclist route choice models. As part of this research, we developed a sophisticated choice set generation algorithm based on multiple permutations of labeled path attributes, which seems to out-perform comparable implementations of other route choice set generation algorithms. The model was formulated as a Path-Size Logit model to account for overlapping route alternatives. The estimation results show compelling intuitive elasticities for route choice attributes, including the effects of distance and delay; avoiding high-volumes of vehicular traffic, stops and turns, and elevation gain; and preferences for certain bike infrastructure types, particularly at bridge crossings and off-street paths. Estimation results also support segmentation by commute versus non-commute trip types, but are less clear when it comes to gender. The final model will be implemented as part of the regional travel forecasting system for Portland, Oregon, U.S.A.

Strong and Fearless | Enthused and Confident | Interested but Concerned | No Way No How


Originally developed by Roger Geller for the city of Portland, the “Four Types of Cyclists” typology (Strong and Fearless; Enthused and Confident; Interested but Concerned; No Way No How) has been adopted widely to help guide efforts to increase bicycling for transportation. This webinar will present findings from a new, national survey conducted in collaboration with the National Association of Realtors.  In Portland, 60 % of the population falls into the "interested but concerned" category, and they represent a promising segment of the population in terms of increasing the bicycle mode share. In this webinar, we will address the following questions:

  • Does the Four Types of Cyclists typology apply nationally? 
  • What are the characteristics of each type of cyclist? 
  • How does the existing environment, including bicycle infrastructure, affect the share of people in each category/type? 
  • What programs or infrastructure might increase bicycling for transportation among the...
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