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Washington D.C. Data Dashboard Comes to BikePed Portal

Washington D.C. Data Dashboard Comes to BikePed Portal

28 December, 2022

In a big step forward for nonmotorized planning, a dashboard with bike data from the Washington, D.C. metro area is coming to BikePed Portal. Previously, a planner looking to see the latest biking numbers for the nation's capital would have to look at info from several jurisdictions, including Arlington County, the City of Alexandria, the District Department of Transportation, Fairfax County, Montgomery County, and the National Park Service, which manages counters on several trails and natural areas in the greater metro area.

Now, with funding from a National Park Service (NPS) Cooperative Ecosystem Studies Unit (CESU), a unique program that facilitates partnerships between federal and non-federal entities and research institutions, Virginia Tech and the University of North Carolina Highway Safety Research Center (HSRC) are teaming up with data specialists at Portland State University (PSU) to create a new dashboard that will a…

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Winter 2023 Graduate Courses in Transportation at Portland State

Winter 2023 Graduate Courses in Transportation at Portland State

22 December, 2022

The winter term at Portland State University starts January 9, and registration opens December 19 for non-degree students. (Students who are already enrolled in a PSU degree program can register online now.) Lifelong learning is a guiding principle of PSU, and anyone interested can take transportation courses through the non-degree application process or as a post-baccalaureate student. Taking a course can be a good way to see if one of our graduate degree programs is right for you. Check out the course offerings below to see what's available this coming term.

See PSU’s COVID-19 Student Resources for the latest info…

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Assessing The Perception Of E-Scooters As A Practical And Equitable First-Mile/Last-Mile Solution

22 December, 2022

Portland State University graduate Mike McQueen, who earned his masters in civil engineering in 2020 and now works at ICF as a transportation data specialist and engineer, has published an article in the November 2022 issue of Transportation Research Part A: Policy and Practice.

The article, "Assessing the perception of E-scooters as a practical and equitable first-mile/last-mile solution," is a revised version of McQueen's masters thesis, "Comparing the Promise and Reality of E-Scooters: a Critical Assessment of Equity Improvements and Mode-Shift," which is available for download on PDX Scholar. The article updates the statistical model used to a mixed multinomial (MMNL) regression model, which allows for better control of random variations in taste among respondents, and makes findings about the…

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PSU student Cameron Bennett at his e-bike poster at TRB 2022

PSU Masters Student Cameron Bennett Receives Second Eisenhower Fellowship

21 December, 2022

We are proud to acknowledge Portland State University engineering masters student Cameron Bennett, who has been awarded a Dwight David Eisenhower Transportation Fellowship for the second year in a row. Bennett, who won his first Eisenhower Fellowship last year, will receive another presented by the U.S. Department of Transportation at this year's annual meeting of the Transportation Research Board (TRB). He is also being honored as the National Institute for Transportation and Communities (NITC) Masters Student of the Year.

Connect with Cameron on LinkedIn.

During his master's program, Cameron has served two terms as President of the Institute of Transportat…

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Sangwan Lee of Portland State University Investigates Transportation Mode Choice in the Era of Autonomous Vehicles

21 December, 2022

New mobility technologies, such as shared mobility services and autonomous vehicles (AVs), continue to evolve. How do travelers decide whether to adopt new transportation modes or continue to use conventional modes? "Transportation Mode Choice Behavior in the Era of Autonomous Vehicles: The Application of Discrete Choice Modeling and Machine Learning" is a 2022 dissertation by Sangwan Lee of Portland State University which uses machine learning to examine this question.

Lee, who earned his PhD from the Nohad A. Toulan School of Urban Studies and Planning in 2022 working with faculty advisor Liming Wang, is now a research associate working in employment research at LX Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation in Jeonju, South Korea. He is currently working on several…

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