The video begins at 3:55.

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Abstract: Portland is planning to launch a bike share system. Bike share is a new form of public transit that is rapidly spreading through the United States. In 2009, bike share operated in two U.S. cities. Today, 20 US cities operate systems with another 15 in the planning stages. In several cities, including Denver, Minneapolis and Washington, DC bike share has demonstrated the ability to bring new people to bicycling while reducing single occupancy vehicle trips. How will bike share work in the nation’s most bike friendly city (doesn’t everybody already have a bike)? What challenges does Portland face, and what opportunities does bike share offer to reach the Portland’s Bike Plan for 2030’s ambitious goals?

Speaker Bio: Steve Hoyt-McBeth is a project manager in the Portland Bureau of Transportation’s Active Transportation Division. He has worked on bike share at PBOT since 2008. Steve also manages PBOT’s employer and commuter Transportation Demand Management program, SmartTrips Business. He has 15 years experience working with local governments and neighborhoods in Oregon and California on land use, energy and transportation issues. Steve is a graduate of the University of Oregon.

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

Bicycle Safety (and Other) Research at CARRS-Q in Brisbane, Australia

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...

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The video begins at 3:15.

In 2005, Davis, California was the first city in the U.S. to be named a Platinum-level Bicycle Friendly Community by the League of American Bicyclists. Although Davis has long been held up as a model bicycling community, where residents bike as a normal part of their daily lives, it has not been rigorously studied. Several studies underway at UC Davis are helping to fill this gap: an analysis of the history of bicycling policy in Davis; a behavioral study of factors contributing to high levels of bicycling in Davis in comparison; and an evaluation of a recent campaign to get kids to bicycle to soccer games. This presentation offers highlights from a three studies to provide a critical assessment of Davis as a bicycling community.

Susan Handy is a professor in the Department of Environmental Science and Policy and the director of the Sustainable Transportation Center at the University of California Davis. Her research focuses on the connections between land use and transportation, and she is well known for her work on the impact of neighborhood design on travel behavior. She serves on three committees of the Transportation Research Board and on the editorial boards of several journals in the fields of planning, transportation, and public health.

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Measuring and modeling cyclists’ comfort and stress levels

Some researchers have tried to categorize cyclists’ levels of traffic stress utilizing facility or traffic data that can be readily measured in the field, such as motorized travel lanes, travel speeds, and type of bicycle infrastructure.

This seminar will present data and modeling results utilizing two novel data sources:

(a) real-world, on-road measurements of physiological stress as cyclists...

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Summary: Researchers from the transportation, planning and health fields share the common goal of promoting physically active lifestyle. One challenge that researchers often face is the measurement of physical activity, particularly among children. This is because the sporadic nature of children’s physical activity patterns makes it difficult to recall and quantify such activities. Additionally, children’s lower cognitive functioning compared to adults prevents them from accurately recalling their activities. This presentation will describe the design and application of a novel self-report instrument - the Graphs for Recalling Activity Time (GReAT) - for measuring children’s activity time use patterns. The instrument was applied in a study of children’s risk for obesity and diabetes in a predominately Hispanic community in Milwaukee, WI. Time-use data for two weekdays and one weekend day were collected for various physical and sedentary activities. The data was then assessed against measurements of the children’s cardiovascular fitness, weight status and insulin resistance through exploratory analysis and structured equation modeling. Findings on GReAT’s reliability and new evidence on the impacts of time-use in different activities on children’s risk for...

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The video begins at 2:06.

Abstract: The most fundamental need in a bicycling network is low-stress connectivity, that is, providing routes between people’s origins and destinations that do not require cyclists to use links that exceed their tolerance for traffic stress, and that do not involve an undue level of detour. Evaluating network connectivity therefore requires both a set of criteria for tolerable levels of traffic stress and measures of connectivity appropriate to a bikeway network. 

We propose criteria by which road segments can be classified into four levels of traffic stress (LTS), corresponding to four levels of traffic tolerance in the population. LTS 1 is suitable for children; LTS 2, based on Dutch bikeway design criteria, represents the traffic stress that most adults will tolerate; LTS 3 and 4 represent greater levels of stress. As a case study, every street in San Jose, California was classified by LTS. Maps in which only lower stress links are displayed reveal a city fractured into low-stress islands separated from one another by barriers that can only be crossed using high stress links. 

To measure connectivity, two points in the network are said to be connected at a given level of traffic stress if there is a path connecting them that uses only links that do not exceed that level of stress and whose length does not exceed a detour criterion (25% longer than the most direct...

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SEMINAR VIDEO

New Probe Data Sources to Measure Cycling Behavior and Safety


PRESENTATION SLIDES

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Emerging probe data sources from smartphones on on-board devices are able to measure behavior of cyclists with very high...

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