View the presentation slides here.
This project builds on the success of NITC’s first Pooled Fund project that created the first national...
Read moreBy Jennifer Dill, Ph.D.
Professor, Urban Studies & Planning
Director, TREC
This week I’m at the International Travel Survey Conference in Australia. The conference happens every three years, attracting over 100 geeky people who spend time thinking about things like stated preference experiments, smartphone data collection, combining sampling frames, and respondent burden. I presented some work from our five city Green Lanes project, comparing our survey data with “objective” measures, such as videos and traffic counts. The focus was on intersections, where the protected lane is no longer separated from motor vehicles. An example of one design used in Portland, OR is shown in the adjacent figure.
Some of the comparisons are...
Read moreView slides
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.
Portland State students redesign busy Portland street for active transportation
Friday Transportation Seminar: Bicycle Safety (and Other) Research at CARRS-Q in Brisbane, Australia
LOCATION: PSU, Urban Center Building, Room 204 (Distance Learning Center Wing)
LIVESTREAM ONLINE: Click here on the day of the seminar to stream it live
SEMINAR VIDEO
This presentation will begin with an overview of the activities of the Centre for Accident Research and Road Safety-Queensland. Then a number of bicycle safety research projects...
Read moreThe video begins at 1:47.
Joseph Broach, PhD candidate in Urban Studies, will discuss the results of his research, which models the propensity of children aged 6-16 to walk or bike to parks and school without an adult chaperone, extending existing work on children’s active travel in several ways: 1) focus on travel without an adult, 2) inclusion of school and a non-school destinations, 3) separate walk and bike models, 4) consideration of both parent and child attitudes and perceived social norms, 5) explicit inclusion of household rules limiting walking or bicycling.
The video begins at 1:55.
View slides
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...
Read moreRoom 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.
View slides