Erhardt Transport Lab

Transportation Engineering and Data Science

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Models and data to inform transportation decisions.

Annual spending on transportation infrastructure exceeds $70 billion in the US and £10 billion in the UK. Our goal is to provide the information necessary to make smart decisions about these important investments. We do this by developing more sophistocated modeling tools to forecast the effects of proposed projects, analyzing new and emerging data sources to understand the effects of past projects, and communicating both to improve policy and planning decisions.

Our lab is a part of an active and growing transportation group in the Department of Civil Engineering at the University of Kentucky, Kentucky's flagship university. We work in close collaboration with the Kentucky Transportation Center, which serves as the research arm of the state Transportation Cabinet.

We are located in beautiful Lexington, Kentucky, a vibrant small city with the nation's first urban growth boundary. Lexington is famous for bourbon, bluegrass and basketball, and offers easy access to hiking, rock climbing and other recreational opportunities.


Travel Demand Forecasting

Big Data

Planning and Policy

Research

Data Fusion

Developing a Big Data fusion tool to understand travel demand trends and measure transport project impacts.

Bicycle Route Choice

Using smartphone location data to estimate the air quality benefits of bicycle infrastructure.

Activity-Based Modeling

Updating an activity-based model to study congestion pricing in San Francisco.

Statewide Modeling

Assessing the utility and costs of statewide travel demand models.

Zephyr Foundation

Launching a non-profit foundation for improving travel analysis methods.

Transit Smart Card Data

Evaluating transit smart card data with privacy restrictions and limited penetration rates.

About Me

I bring a track record in transportation modeling and data analysis that spans both research and practice in the US and Europe. As a practicing engineer, I led the final development and early applications of some of the nation’s most sophisticated transportation modeling systems, including activity-based travel models, a dynamic traffic assignment model, and long-distance travel models. My PhD is from the Centre for Advanced Spatial Analysis (CASA), a highly inter-disciplinary program focused on building a new “science of cities”. I have worked in government, and for RAND Europe, a leading public-policy think tank. My recent research investigates the application of continuously collected transportation data to the systematic retrospective evaluation of transportation projects. This research provides a platform from which to better evaluate the accuracy of travel models in forecasting the effects of real-world transportation projects.

Outside of work I enjoy playing with sticks and building forts with my two boys and our Bernese Mountain Dog. On Fridays, I get lunch with the PI for the Erhardt Isotope Geochemistry Lab.