- Download the Final Report (PDF)
- Download the Project Brief (PDF)
- Hear from the researcher—Register to attend the TCS2019 session "Fair and Accurate Data: Equity-informed Approach to Representation"
What is the quality of travel data for...Read more
What is the quality of travel data for...Read more
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,...Read more
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 National Institute for Transportation and Communities (NITC) is soliciting proposals for our two 2018 Pooled Fund projects:
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...Read more
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...Read more
A NITC education grant funded a new course for planners, engineers, scientists and students to help improve their data processing workflow.
Liming Wang, an assistant professor in the Toulan School of Urban Studies & Planning at Portland State University, is on a mission to simplify data processing. A NITC education grant supported his efforts to develop a new course: Introduction to Data Science (Aug 6 - 10, 2018). The course is designed to help students and professionals to improve their workflow for data-intensive research. The course covers how to collect data, clean them up, visualize, explore, model and eventually compile the data with findings in a report.
"I've pretty...Read more
As social media comes to permeate every aspect of modern life, public transit is no exception.
Transit agencies are increasingly making social media an integral part of their day-to-day management, using it to connect with riders about system alerts, live transit arrival information, service disruptions and customer feedback.
However, there is very little evidence to show how effective these efforts really are in achieving agency goals.
Measuring the Impacts of Social Media on Advancing Public Transit, a NITC project led by Jenny Liu of Portland State University, seeks to provide a better understanding of how transit agencies use social media and to develop some performance measures to assess the impacts of social media on promoting public transit.
This project aims to measure how social media actually impacts agency goals like increasing recruitment and retention of transit riders; increasing resources and customer satisfaction; addressing system performance efficiency; and improving employee productivity and morale.
A survey of 27 public transportation providers across the country found that although 94% of those surveyed agencies used some form of social media, only 28% had a social media plan or strategy prior to implementation.
Liu’s research explores the types of performance measures that could...Read more
A new NITC report introduces an important tool for safety analysis: a naturalistic method of data collection that can be used to improve the cycling experience.
Before now, most naturalistic studies (studies where data are collected in a natural setting, rather than a controlled setting) in bicycle safety research have been captured by stationary cameras and haven't followed cyclists along a route.
Researchers in this study used first-person video and sensor data to measure cyclists' reactions to specific situations.
Safety research in general has advanced significantly through naturalistic driving studies, which gather data from real drivers to illuminate the causes of traffic incidents both major and minor. For motorized vehicles, the U.S. Department of Transportation has been developing portable, vehicle-based data collection technologies since the early 1990s.
Their report, Utilizing Ego-centric Video to Conduct Naturalistic Bicycling Studies, offers a successful method for integrating video and sensor data to record cyclists...Read more
NITC researchers have tested a method of collecting transportation behavior data using a smartphone app, with promising results.
The process could save transit agencies “hundreds of thousands of dollars,” says lead researcher Christopher Bone, and give them access to comprehensive, real-time data about their ridership, all without compromising passengers’ privacy.
Christopher Bone, Marc Schlossberg, Ken Kato, Jacob Bartruff and Seth Kenbeek of the University of Oregon designed a custom mobile application, which allows passengers to volunteer information about their travel habits, and recruited passengers to use it in a test case.
Their report, “Crowdsourcing the Collection of Transportation Behavior Data,” was released this month.
Participants were asked to use the app for three weeks on Lane Transit District’s EmX bus line located in the Eugene-Springfield area in western Oregon. Researchers placed sensors on the buses and at stops to detect when someone using the app was boarding. When a user came within range of a sensor, they...Read more
Traffic congestion on urban roadways can influence operating costs and cause travel delays.
Portland State University master’s students Nicholas Stoll and Travis Glick will present a paper introducing solutions for locating the sources of congestion at the 2016 annual meeting of the Transportation Research Board.
With their faculty advisor, Miguel Figliozzi, Stoll and Glick looked into using bus GPS data to identify congestion hot spots.
By using high-resolution GPS data to visualize trends in bus behavior and movement, the researchers were able to examine the sources of delay on urban arterials.
These visualizations, which can be in the form of heat maps or speed plots like the one shown here on the right (an application of numerical method applied to a 2,000 ft segment of SE Powell), can be used by transportation agencies to identify locations where improvements are needed. For example, adding a queue jump lane at a congested intersection can improve flow.
The researchers used fine-grained bus data provided by TriMet to create the visualizations. Buses have been used as probes to estimate travel times before, but with...Read more