Dr. Ho-Ling Hwang
Senior Researcher and Project Manager
Center for Transportation Analysis
Oak Ridge National Laboratory
February 27, 2015, 2:30 – 3:30 PM
410 John D. Tickle Engineering Building
Dr. Ho-Ling Hwang is a Senior Researcher and Project Manager at the Center for Transportation Analysis (CTA) of Oak Ridge National Laboratory. Dr. Hwang has dedicated herself to the areas of passenger and freight transportation data and modeling for over 20 years. Her passion for transportation research has led to an expertise in statistical data analysis, data mining, and modeling, as well as in the development of Geospatial Information System (GIS) and non-GIS based visualization decision support systems. Currently, she is the Project Manager and Principle Investigator for the Research and Data Analysis Supports to New York State Department of Transportation, as well as the Technical Manager of the Freight Analysis Framework for the Federal Highway Administration, and manager of numerous other transportation data related projects at the CTA. Dr. Hwang earned her Ph.D. in Operations Research and Statistics from Rensselaer Polytechnic Institute, Troy, New York.
Talk Abstract: The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive national picture of freight movement among states and major metropolitan areas by all modes of transportation. It provides a national picture of current freight flows to, from, and within the United States, assigns selected flows to the transportation network, and projects freight flow patterns into the future. The FAF was designed as a policy tool for the U.S. Department of Transportation (USDOT) by the Federal Highway Administration (FHWA) and has become a major data product for the larger transportation community. This presentation will provide some insight on CTA’s role in developing the FAF Origin-Destination database, including: its relationship with the Census’s Commodity Flow Survey, how it was constructed, what limits that users need to consider when using the data, etc. Some new changes impacting the forthcoming FAF release 4 will also be discussed.