Rethinking Planning with Big Mobility Data

Sunday, May 7, 2017 | 1 p.m. - 2:15 p.m.
CM | 1.25
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You'll learn about:

  • Specific planning questions that big data can answer faster, easier, and cheaper than is possible using traditional data sources

  • How big data can be used to validate assumptions about mobility behavior empirically 

  • The real-world planning data collection challenges that can be addressed using big data   

Big data has become a planning “buzzword” with good reason—anonymous, archival location data from mobile devices helps planners answer important questions about their communities that were previously difficult, expensive, and time-consuming to address. Explore case studies from projects across California that illustrate the power of big data to answer compelling planning questions empirically, such as:

·        What are the origins/destinations of travelers in a region or on a specific roadway?

·        Where do residents of a region work and shop?

·        Where do commuters to a region live?

·        How do travel patterns vary by time of day, type of day, and time of year?

·        What types of trips cause congestion along particular corridors?

·        What is the average length of trips from a region?

·        What are the demographic characteristics of users of a corridor?

These questions have always interested transportation planners, but they have typically been answered through extrapolation using conventional tools such as license plate studies, surveys, and travel demand models. Learn how planners can use big data to answer these questions faster, easier, and cheaper than they can with traditional data sources.

Speakers

Catherine Manzo , StreetLight Data , San Francisco , CA (see bio)
Kevin Johnson , AICP , Fehr & Peers , Walnut Creek , CA (see bio)