Wildlife everywhere faces a growing challenge: moving safely across an increasingly fragmented landscape. Roads, urban development, and other human-made barriers can make it harder for animals to access food, shelter, and breeding areas, while also increasing the risk of wildlife-vehicle collisions. To address this issue, researchers at Portland State University (PSU) worked on a groundbreaking effort to understand and protect the travel patterns of Oregon’s wildlife.

Every time a pedestrian pushes a button to cross the street, it creates a useful data point about how many people are walking through that intersection. Now, transportation planners and engineers in Oregon have easy access to that data: The newest feature we've added to BikePed Portal is a dashboard that lets you explore the Oregon Department of Transportation (ODOT)'s pedestrian push-button data from all over the state.

Over the past several years, in a series of research projects, researchers at Portland State University (PSU) have been developing a new approach to estimate active transportation volumes using machine learning.

In order to make sure bicyclists' needs are considered when improving a transportation system, planners and engineers need to know how many people are biking, and where. 

A new study launches next month, funded by the National Institute for Transportation and Communities (NITC).

"Transformative Transportation Survey Methods: Enhancing Household Transportation Survey Methods for Hard-To-Reach Populations," is a new article published in the September 2021 issue of Transportation Research Part D.

How can we use a variety of data-driven speed management strategies to make transportation safer and more efficient for all modes–whether you’re driving, walking or taking transit?

A national non-motorized count data archive, BikePed Portal provides a centralized standard count database for public agencies, researchers, educators, and other curious members of the public to view and download bicycle and pedestrian count data. It includes automated and manual counts from across the country, and supports screenline and turning movement counts.

Principal Investigator:  Sirisha Kothuri, Portland State University