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Puget Sound Regional Council (PSRC) Peer Review

Appendix C Peer Review Panel Member Biographies

C.1 Joe Castiglione, San Francisco County Transportation Authority

Joe Castiglione is a Deputy Director for Technology, Data and Analysis at the San Francisco County Transportation Authority (SFCTA) with 18 years experience in the development, application and refinement of advanced travel demand forecasting models. Prior to joining the SFCTA, he served in a variety of technical roles on travel forecasting and transportation planning projects in both the public and private sectors, focusing on activity-based travel demand forecasting models and their integration with advanced dynamic roadway and transit network models. He has extensively applied these model systems to transportation and land use planning and investment analyses.

C.2 Clint Daniels, San Diego Association of Governments

Clint Daniels is a Principal Researcher at the San Diego Association of Governments overseeing the forecasting and modeling group. Clint is responsible for developing long range forecasts of San Diego's population characteristics and demand for new infrastructure. Clint's recent projects include developing California's first Sustainable Communities Strategy, forecasting to support a new trolley extension from downtown San Diego to UC San Diego, and a traffic and revenue study to support the construction of a new port of entry between San Diego and Tijuana. Clint graduated from the University of Illinois with a Bachelor of the Arts in Urban and Regional Planning. Clint earned his Master of City and Regional Planning from Rutgers University in New Jersey, and he holds a Master of Business Administration from the Rady School of Management at University of California - San Diego.

C.3 Rick Donnelly, Parsons Brinckerhoff

Rick Donnelly is a Vice President at WSP Parsons Brinckerhoff. He has 29 years of experience developing, implementing, and applying travel forecasting, dynamic network, and freight and logistics models. His recent work has focused on the development of activity-based microsimulation models of freight and logistics systems, as well as statewide and metropolitan areas. This work has involved agent-based models built using machine learning techniques as well as more traditional formulations. Rick is actively involved in the Transportation Research Board, where he co-chairs their committee on travel forecasting resources. He is also a member of the freight and logistics committee of the Association for European Transport, is a visiting scientist at Los Alamos National Laboratory, and senior fellow at the University of Melbourne.

C.4 Josie Kressner, Transport Foundry

Josie Kressner started Transport Foundry in 2014 to enable transportation planners to use “big” data. Her efforts focus on new ways to utilize passively collected data. In particular, the National Science Foundation and the Transportation Research Board have funded projects to synthesize travel diaries from multiple passive data sources, including consumer and mobile phone data. She has a Ph.D. in Transportation Systems Engineering from Georgia Tech, B.S. in Civil Engineering from Washington University in St. Louis, and a B.A. in Architecture from Washington University in St. Louis.

Notice

This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The United States Government assumes no liability for its contents or use thereof.

The United States Government does not endorse manufacturers or products. Trade names appear in the document only because they are essential to the content of the report.

The opinions expressed in this report belong to the authors and do not constitute an endorsement or recommendation by FHWA.

This report is being distributed through the Travel Model Improvement Program (TMIP).

U.S. Department of Transportation

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February 2016

FHWA-HEP-16-051

U.S. Department of Transportation, Federal Highway Administration.

Updated: 5/23/2017
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