Led by Xiaoyue Cathy Liu of the University of Utah (UU) and funded by the National Institute for Transportation and Communities, researchers have created a web-based modeling tool (see GitHub repository built for the Utah Transit Authority) that enables U.S. transit providers to explore the impacts of changing over their systems to electric buses*. The researchers ran the model for TriMet in Portland, OR as well, with TriMet results and analysis presented in the final report (PDF).

"The interactive visualization platform lets users explore various electric bus deployment budget scenarios, so that transit agencies can plan the most cost-effective way to transition their fleet from diesel to electric buses – while prioritizing disadvantaged populations," Liu said.

The research team, at University of Utah, Portland State University (PSU), and University of California, Riverside, set out to answer three questions: 

  1. What costs and benefits are associated...
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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.

BikePed Portal was established in 2015 by Transportation Research and Education Center (TREC) researchers at Portland State University through a pooled fund grant administered by the National Institute for Transportation and Communities (NITC). Other project partners include the Federal Highway Administration, Oregon Department of Transportation, Metro, Lane Council of Governments, Central Lane MPO, Bend MPO, Mid Willamette Valley Council of Governments, Rogue Valley Council of Governments, City of Boulder, City of Austin, Cycle Oregon, and Oregon Community Foundation.

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Cyclist stands next to the Hawthorne Bridge Bicycle Counter

Authored by Tammy Lee, Transportation Data Manager, Portland State University

For a deeper dive into bicycle volume data, watch the May 8 seminar with Tammy Lee and Kristin Tufte: Creating And Using A Publicly Available Multimodal Transportation Data Archive. Also, check out her earlier blog post on motor vehicle traffic volumes.

The weather these past few weeks has been beautiful: sunny, not too hot, not too cold, cherry trees blossoming… the ideal biking weather marred by a less than ideal pandemic.

Are social distancing measures affecting bike trips in Portland, OR? Maybe. Personally? Yes.

First, let’s get a few things out of the way before we provide summary observations:

  • Analyzing bike data is not as “easy” as evaluating vehicle traffic data: the infrastructure for monitoring bike (and pedestrian) data isn’t anywhere close to how vehicle traffic is monitored. There just aren’t many bicycle count detectors. So if one detector stops working then what little data that was available in the first place became that much littler.

  • ...
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a visualization of trips entering and exiting Salt Lake City
Nikola Markovic, University of Utah

The University of Utah has a new data visualization service to offer to state DOTs and other agencies. Using Small Starts funding from the National Institute for Transportation and Communities (NITC), researcher Nikola Markovic and his team have developed a suite of visual analysis tools to demonstrate how GPS trajectory data can help accurately model and analyze mobility trends. These data are typically purchased from...

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Street icons for bicycle and pedestrian
Photo by Cait McCusker
Nathan McNeil, Portland State University; Kristin Tufte, Portland State University

In the past decade bike and pedestrian count programs have sprung up all over the United States, gathering data to evaluate biking and walking infrastructure. However, these modes have not been studied with the quantitative rigor applied to motor vehicle travel. A research project funded by the National Institute for Transportation and Communities (NITC), led by Nathan McNeil of Portland State University (PSU), offers a method for monitoring the quality of this bike-ped count data.

"There has been an effort to...

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A screenshot from the STAT tool shows a map with embedded Tweets by location
Xiaoyue (Cathy) Liu, University of Utah; Ran Wei, University of California, Riverside; Aaron Golub and Liming Wang, Portland State University

With today's profusion of open data sources and real-time feeds, transit agencies have an unparalleled opportunity to leverage large amounts of data to improve transit service. Thanks to NITC researchers,...

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Automatic bicycle counter showing how many cyclists have passed today, and this year.
Principal Investigator:  Sirisha Kothuri, Portland State University
Learn more about this research by reading about the Pooled Fund research grant that started it, or the Project Overview page.

BIKE/PED COUNT SURVEY: CALL FOR INPUT

Researchers at Portland State University, University of Texas at Arlington, University of North Carolina at Chapel Hill and Toole Design Group are conducting a scan to identify locations where bicycle counts are taking place around North America, and hope to enlist your help! If you collect bike count data (or oversee counts) in your jurisdiction, please consider taking our quick survey to tell us a little bit about your count locations and data.

The survey can be accessed here: tinyurl.com/BikeCounterScan

THE NEW PROJECT

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Left: Bicycles on a trail; Right: Young woman buying transit pass

The National Institute for Transportation and Communities (NITC) is soliciting proposals for our two 2018 Pooled Fund projects:

RFP now open; proposals due Oct 1, 2018

This project will address the need of cities and municipalities to combine bicycle data from different sources (such as manual counts, automatic counts, and crowd-sourced data from apps such as Strava) to assess an accurate accounting of bicycle traffic on a network. Current work on data fusion techniques is limited and additional research is needed to fully understand the choice of weighting techniques, inclusion of spatial vs. temporal variation in the...

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People looking at laptops
Principal Investigator: Liming Wang, Portland State University
Learn more about this curriculum and how you can apply it at your school by viewing the one-page Executive Summary and the full Final Report on the Project Overview page.

This course is being offered again April 3–10, 2019. Learn more and register here.


"Scientific Computing for Planners, Engineers, and Scientists," our data science course for transportation professionals, has completed its second year and continues to help planners and engineers improve their data processing workflows.

Taking an ocean of numbers and converting it into compelling infographics, charts and narratives that communicate results is a key part of the transportation profession, and a daunting challenge. That's why we created this week-long data science course. It's also why we're offering a one-day workshop that focuses specifically on transportation...

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