Applying Big Data to Small Projects
You'll learn about:
How to use big data to both diagnose mobility problems and gather evidence that justifies implementing small, but impactful, policies and projects
How to make big data “small” and actionable by transforming it into specific metrics that are useful in the planning process
Best practices for coordination across academia, consultancies, agencies, and private sector corporations that are broadly applicable to the planning community beyond transportation
One of the greatest obstacles to effective planning has been a lack of knowledge about how people move around at a local scale. Big data from mobile devices can be a powerful tool for transportation planners who don’t have the resources for intensive travel studies. Yet the industry needs a blueprint for integrating this new type of information into their time-tested planning processes.
This session highlights projects in California and Virginia to show how to gather and deploy big data. Learn how key project players collaborated to transform archival data from mobile devices into useful metrics, used those metrics to diagnose transportation challenges, and finally evaluated and planned solution-oriented projects with community engagement and support. And gain a deeper understanding of how big data can help you identify relatively small multimodal projects that can add great benefit, given new knowledge about people’s travel patterns.
, State Smart Transportation Initiative
Confirmed SpeakerChris McCahill is an associate researcher at the State Smart Transportation Initiative (SSTI), operated by the University of Wisconsin and Smart Growth America, where he works primarily with reform-oriented State Departments of Transportation through knowledge-sharing and technical assistance. Before joining SSTI, he led research and training programs for the Project for Transportation Reform at the Congress for the New Urbanism in Chicago. Chris studied transportation engineering at the University of Connecticut, where he also worked as course instructor and researcher, focusing on urban transportation, land use, and parking policy.
, New York
, StreetLight Data
, San Francisco
Confirmed SpeakerLaura Schewel is co-founder and CEO of StreetLight Data, a mobility analytics provider that transforms big data from mobile devices useful analytics for transportation and urban planning. As CEO, Laura helped lead the development of StreetLight InSight®, the only online platform that provides customized travel pattern analytics derived from massive mobile data to the transportation industry. She is an advocate and researcher in advanced transportation, with particular expertise in transportation systems, sustainability and safety, and vehicle/system modeling and analysis. Prior to founding StreetLight Data, Laura worked to develop electric vehicle strategy at the Rocky Mountain Institute (RMI) and Federal Energy Regulatory Commission (FERC). She was a National Science Foundation Fellow, has authored several publications about sustainable transportation, was one of MIT Technology Review’s 35 Innovators Under 35, and has also won the International Transport Forum’s Young Researcher of the Year Award. Laura holds a master’s degree in Energy and Energy Resources from UC Berkeley and bachelor’s degrees in Engineering and Comparative Literature from Yale University.