Applying Big Data to Small Projects

Sunday, May 7, 2017 | 4 p.m. - 5:15 p.m.
CM | 1.25
Add to My Log
#9109701

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.

Speakers

Chris McCahill , State Smart Transportation Initiative , Madison , WI (see bio)
Amy Cotter , Lincoln Institute of Land Poli , Cambridge , MA (see bio)
Chris Pangilinan , TransitCenter , New York , NY
Laura Schewel , StreetLight Data , San Francisco , CA