Portland Bike Share: How Will Bike Share Work in the Nation's Most Bike Friendly City?

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.

Identifying the Safest Intersection Designs for Cyclists

Overcoming Barriers to Bicycling in Low-Income and Minority Communities

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The video begins at 6:36.

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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Student Study Abroad 2019: Sustainable Transportation in the Netherlands

Offered through the Initiative for Bicycle and Pedestrian Innovation at TREC, this four-credit PSU study abroad program (CE 495 / 595) presents an introduction to sustainable transportation and land use applications in the Dutch context.

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Before you apply for the program, check out some frequently asked questions or watch the recent Jan 11, 2019 information session:

PROGRAM OVERVIEW (June 23 - July 6, 2019)

The course creates an immersive experience to explore the Dutch approach to cycling, transit, innovative mobility and land use. The curriculum...

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Naito Parkway plan announced to give more walking space during Rose Festival

Webinar: Radar Point Cloud Segmentation using GMM in Traffic Monitoring

PRESENTATION ARCHIVE

OVERVIEW

Intelligent transportation systems (ITS) change our communities by improving the safety and convenience of people’s daily mobility. The system relies on multimodal traffic monitoring, that needs to provide reliable, efficient and detailed traffic information for traffic safety and planning. How to reliably and intelligently monitor intersection traffic with multimodal information is one of the most critical topics in intelligent transportation research.

In multimodal traffic monitoring, we gather traffic statistics for distinct transportation modes, such as pedestrians, cars and bicycles, in order to analyze and improve people’s daily mobility in terms of safety and convenience.

In this study, we use a high-resolution millimeter-wave (mmWave) radar sensor to obtain a relatively richer radar point cloud representation for a traffic monitoring scenario. Based on a new...

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Millennial Housing 2015: Walkability Wins Out As Cities Grow, Suburbs Urbanize For New Generation

Assessing Impacts of Time Use on Children's Physical Fitness in Relation to Risk for Obesity and Diabetes

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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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Low-Stress Bicyling and Bike Network Connectivity

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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