The Economics of Bicycling

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Dr. Kelly Clifton, associate professor of Civil and Environmental Engineering at PSU, will present results from Clifton's recent study that aims to make connections between our travel choices and our consumer behavior. Based upon a survey administered in the Portland metro area in the summer 2011, the analysis examines the various influences on mode choices to local restaurants. Similarly, patron spending and frequency of visits are also analyzed with respect to mode to better understand these complex relationships. In this talk, there will be an emphasis on comparing patrons that choose non-automobile modes to those who take a private vehicle. These findings are useful as communities around the country try to educate the business community about the potential impacts of investments in cycling, pedestrians and transit. 

Developing a Bicyclist Route Choice Model Using GPS Data

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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.

Crowdsourcing Cycling Safety and Route Data with the “ORcycle” Smartphone App

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ORcycle is a new smartphone application (for both Android and iOS) developed by Transportation, Technology, and People (TTP) lab researchers at Portland State University as part of an Oregon Department of Transportation (ODOT) research project. ORcycle collects user, route, infrastructure, crash, and safety data. ORcycle was successfully launched in early November 2014 and presents many improvements over existing or similar apps. Initial data findings and insights will be presented. Lessons learned as well as opportunities and challenges associated with smartphone data collection methods will be discussed. More information about the app can be found here: http://www.pdx.edu/transportation-lab/orcycle

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Why cycletrack networks should be the next great American transit project

Bicyclists and pedestrians 'count' too

Adjustment Factors for Estimating Miles Traveled by Non-Motorized Traffic

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Abstract: Traffic counts are an important piece of information used by transportation planners; however, while count programs are common for motor vehicles most efforts at counting non-motorized traffic – cyclists and pedestrians – are minimal. Long-term, continuous counts of non-motorized traffic can be used to estimate month of year and day of week adjustment factors that can be used to scale short-duration counts to estimates of annual average daily traffic. Here we present results from continuous counts of non-motorized traffic at 6 locations on off-street trails in Minneapolis, MN using two types of automated counters (active infrared and inductive loop detectors). We found that traffic volumes varied significantly by location, but the month of year and day of week patterns were mostly consistent across locations and mode (i.e., cycling, walking, or mixed mode). We give examples of how this information could be used to extrapolate short-duration counts to estimates of annual average daily traffic as well as Bicycle Miles Traveled (BMT) and Pedestrian Miles Traveled (PMT) for defined lengths of off-street trails. More research is needed to determine if non-motorized traffic patterns (and subsequently our adjustment factors) for off-street...

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Webinar: BikePed Portal - National Bicycle and Pedestrian Count Archive

Webinar: Bike Ped Portal, the National Bicycle and Pedestrian Count Archive

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This project builds on the success of NITC’s first Pooled Fund project that created the first national...

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Emerging Implications of Electric Bicycles

Room 204 of the Distance Learning Center Wing of the Urban Center on the Portland State University campus

Abstract: A variety of types of electric bicycles are now available to consumers in America and around the world. While there has been strong uptake of these vehicles in China, there remains uncertainty in other markets about their ultimate potential as a transportation mode. The technology is evolving in ways that are likely to better meet traveller's needs and the growth of this mode presents both opportunities and challenges. Since they have implications for transportation policy, planning and operations it is appropriate for the transportation profession to consider these vehicles carefully. This seminar will review developments and emerging issues with this form of transportation technology.

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Webinar: Four Types of Cyclists: A National Look

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

PRESENTATION ARCHIVE

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...
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Towards Effective Design Treatment for Right Turns at Intersections with Bicycle Traffic

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The overall goal of this research was to quantify the safety performance of alternative traffic control strategies to mitigate right-turning-vehicle/bicycle collisions, often called "right-hook" crashes, at signalized intersections in Oregon.

A two stage experiment was developed in the OSU high-fidelity driving simulator to investigate the causal factors of right-hook crashes at signalized intersections with a striped bike lane and no right-turn lane, and to then identify and evaluate alternative design treatments that could mitigate the occurrence of right-hook crashes.

Experiment 1 investigated motorist and environmental related causal factors of right-hook crashes, using three different motorist performance measures:

  1. visual attention,
  2. situational awareness (SA) and
  3. crash avoidance behavior.

Data was collected from 51 participants (30 male and 21 female) turning right 820 times in 21 different experimental scenarios. It was determined that the worst case right-hook scenario occurred when a bicycle was approaching the intersection at a higher speed (16 mph) and positioned in the blind zone of the motorist. In crash and near crash situations (measured by time-to-collision) the most common cause was a...

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