A cropped image of a map depicting a growth scenario as presented in Chattanooga Area Regional Transportation Authority’s (CARTA) survey

Archived Newsletters

This section is dedicated to previously released newsletters. To be added to our mailing list, please contact us.

July 2022 Newsletter (Micromobility)

December 2021 Newsletter (TRB Announcement)

Presentations and Posters

This section is for T-SCORE work that may still be under peer review, but has published materials in other formats aside from white papers or journal publications.

A Method for Placing Shared E-Scooters Corrals Near Transit Stops Poster (Ziedan et al.)

Test Reports

This section is for work done by the center in collaboration with local governments, stakeholders and other entities.

Streamlining Suburban Transit Transit Signal Priority – Proof of Concept


Dr. Kari Watkins and Dr. Michael Hunter prepared this proof-of-concept policy document as part of the Georgia Smart Communities Challenge 2020. The lead agency was Sandy Springs, GA in partnership with Metropolitan Atlanta Rapid Transit Authority (MARTA) and Dunwoody, GA. Read the rest of the report here.

Journal Articles

In this section, readers can find work done by the center that was published in journals, as white papers and other forms of publication.

Using Big Data and Interactive Maps for Long-term and COVID-era Congestion Monitoring in San Francisco [Coming Soon!]


The San Francisco County Transportation Authority (SFCTA) monitors roadway performance as a part of the biennial Congestion Management Program (CMP). Recently, SFCTA switched from using Floating Car runs to INRIX probe data as the primary source for tracking roadway speeds and monitoring congestion. The transition resulted in considerable savings in time and effort. However, integrating and…
Estimating the uncertainty of traffic forecasts from their historical accuracy


Traffic forecasters may find value in expressing the uncertainty of their forecasts as a range of expected outcomes. Traditional methods for estimating such uncertainty windows rely on assumptions about reasonable ranges of travel demand forecasting model inputs and parameters. Rather than relying on assumptions, we demonstrate how to use empirical measures of past forecast accuracy to estimate…read the rest of the article here.
Walk-to-transit demand estimation methods applied at the parcel level to improve pedestrian infrastructure investment


Public transportation is a critical component of cities’ transportation system that can be supported by a safe, complete, and connected pedestrian infrastructure. Agencies spend millions of dollars each year to improve transit ridership, yet many of the transit destinations do not have adequate pedestrian infrastructure to connect to the transit stops creating a substantial barrier to…read the rest of the article here.
Investigating the Preferences of Local Residents Toward a Proposed Bus Network Redesign in Chattanooga Tennessee


Many transit agencies are considering or implementing bus network redesigns. Considering this growing trend, this study investigates the preferences of local residents for a proposed bus network redesign in Chattanooga, Tennessee. The study uses survey data collected by the Chattanooga Area Regional Transportation Authority and its partners as part of a bus network redesign planning process…read the rest of the article here.
Do transportation network companies increase or decrease transit ridership? Empirical evidence from San Francisco


Transportation network companies (TNCs), such as Uber and Lyft, have been hypothesized to both complement and compete with public transit. Existing research on the topic is limited by a lack of detailed data on the timing and location of TNC trips. This study overcomes that limitation by using data scraped from the Application Programming Interfaces of two TNCs, combined with Automated Passenger…read the rest of the article here.
The Changing Accuracy of Traffic Forecasts


Researchers have improved travel demand forecasting methods in recent decades but invested relatively little to understand their accuracy. A major barrier has been the lack of necessary data. We compiled the largest known database of traffic forecast accuracy, composed of forecast traffic, post-opening counts and project attributes for 1291 road projects in the United States and Europe. We…read the rest of the article here.
Why is Traffic Congestion Getting Worse? A Decomposition of the Contributors to Growing Congestion in San Francisco


Traffic congestion has worsened noticeably in San Francisco and other major cities over the past few years. This change could reasonably be explained by strong economic growth or other standard factors such as road and transit network changes. However, the worsening congestion also corresponds to the emergence of Transportation Network Companies (TNCs), such as Uber and Lyft, raising the question…Read the rest of the article here.