Using “Big Data” for Transportation Analytics: A Case Study of the LA Metro Expo Line

Using “Big Data” for Transportation Analytics: A Case Study of the LA Metro Expo Line

HomeUSC PriceUsing “Big Data” for Transportation Analytics: A Case Study of the LA Metro Expo Line
Using “Big Data” for Transportation Analytics: A Case Study of the LA Metro Expo Line
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ADMS (Archived Data Management System) archives real-time feeds from various systems (highways, arterials and public transport) of regional agencies, providing data on traffic flows, incidents and transit services. ADMS is a rich resource not only for system operations, management and planning, but also for analyzing the impact of system changes, from new infrastructure investments to fuel price fluctuations. Access to this extensive historical archive of real-time performance data from multimodal systems has provided a unique opportunity to demonstrate how "big data/" can be used for transportation planning and planning.
policy analysis. With funding from Metro, we are using ADMS to evaluate the impact of a major light rail investment in Los Angeles (the Expo Line) on the corridor-level performance of the multimodal transportation system, comparing corridor-level system performance before and after the opening of the railway. Our findings show a significant positive effect on public transport patronage, largely due to the existence of a latent demand for high-quality public transport.

Dr. Genevieve Giuliano is the Ferraro Chair in Effective Local Government and Senior Associate Dean of Research and Technology at the University of Southern California's Sol Price School of Public Policy, and director of the METRANS Transportation Center. Dr.'s current research Giuliano's work includes analysis of the growth and development of employment centers, research into how ports and supply chains respond to environmental regulations, and development of planning and management applications using real-time transportation system data. She received the TRB Distinguished Service Award (2006), the Thomas B. Deen Distinguished Lectureship Award (2007), and the Transportation Research Forum Outstanding Researcher Award (2012). She was recently appointed to the National Freight Advisory Committee.

Sandip Chakrabarti is a Ph.D. candidate in urban planning at the USC Sol Price School of Public Policy and a research assistant at the METRANS Transportation Research Center. His research focuses on the relationships between land use and transport, the influence of time value and reliability on travel behavior, and analysis of transport policy. Sandip completed his Master of City Planning degree from the Indian Institute of Technology (IIT) Kharagpur and worked as an urban planning consultant in New Delhi, India, before joining the Price School. Sandip has a bachelor's degree in architecture and is very interested in urban design and development.

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