Portland State University

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?

The project was led by Yao Jan Wu, director of the Smart Transportation Lab at the University of Arizona. Co-investigators were Xianfeng Terry Yang of the University of Utah, who researches traffic operations and modeling along with connected automated vehicles, and Sirisha Kothuri of Portland State University, whose research has focused on improving signal timing to better serve pedestrians. Join them on Sept 15, 2021 for a free webinar to learn more.

"We want to improve mobility for all users, be it pedestrians, vehicle drivers or transit riders, and there are different strategies to do this. How do we harness data to drive us to these strategies?" Kothuri said.

Funded by the National Institute for Transportation and Communities (NITC), this multi-university collaboration addressed the question from three angles:

• Wu and his students in Arizona looked at the impact of speed management strategies on conventional roadways...

Prepared by TREC, the Federal Transit Administration (FTA) has just released a Manual on Pedestrian and Bicycle Connections to Transit.

TREC Director Jennifer Dill and TREC researcher Nathan McNeil worked with the FTA to develop the manual, a guidebook to creating a robust network for active transportation and transit users.

From defining "access sheds" to linking up transit and bike share, the newly published manual is a rich resource for planners and engineers looking to boost their city's bicycle and pedestrian transit access.

Dill and McNeil built the manual with a special...

While it’s generally accepted that dense, mixed-use development promotes active travel, researchers don’t have a consensus on exactly how, and to what degree, land use determines people’s travel patterns.

NITC’s latest report, Active Travel Behavior and Spatial-Temporal Land Use Mixing, provides some clarity on the topic.

NITC fellow Steven Gehrke focused his dissertation research on transportation-land use interaction, and sees land use mix as a multidimensional construct.

“We can refocus—away from increasing density—and think more about how we configure land uses,” Gehrke said.

According to Gehrke’s research, more density does not necessarily equal more walking. Rather, the complementarity, composition, and configuration of land use types is essential for cultivating walkability.

Gehrke, who graduates this spring with a Ph.D. in civil and environmental engineering from Portland State University, conducted three empirical studies under his dissertation grant. The first focused on improving measurements of land use mix, introducing a land use mix measurement of the composition and configuration of local land use types.

The second study looked at other smart growth principles, like employment concentration and pedestrian-...

A new NITC report offers a multimodal framework for transportation impact analysis – a welcome tool for professionals in many cities seeking more detailed data about non-drivers.

Improving Trip Generation Methods for Livable Communities, a research project headed by Kelly Clifton of Portland State University and Nico Larco of the University of Oregon, is the latest effort in an ongoing collaboration to create more open sourced, widely available data about non-motorized road users.

Over the last decades, cities have become more invested in fostering the conditions to support walking, biking and public transit.

The land development process presents a unique challenge.

Prior to a zoning change or new development, someone has to determine what its impact on the transportation system will be, and whether upgrades will be necessary to accommodate travelers to the new destination. Trip generation is the first step in the conventional transportation forecasting process.

Current trip generation methods used by engineers across the country tend to focus on motorized modes.

Without reliable trip generation rates for anyone but drivers, the transportation impact is difficult to predict. Certain land uses will draw far more walkers,...