Rethinking Planning with Big Mobility Data
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.
, StreetLight Data
Confirmed SpeakerCatherine Manzo brings more than ten years of business development and strategy experience to mobility analytics provider StreetLight Data. As StreetLight’s Senior Director of Channel Sales Currently, she helps transportation professionals, retailers, and investors utilize Big Data to understand travel patterns. Catherine earned her MS and an MBA from Yale University and her BS from Columbia University.
, Fehr & Peers
, Walnut Creek
Confirmed SpeakerKevin Johnson has 11 years of experience in transportation planning with Fehr & Peers. He has managed and provided technical oversight for various model development projects, traffic studies, highway operations projects, parking and circulation studies, big data projects, and multimodal transportation planning projects. He has worked extensively with travel demand models throughout California and has managed numerous travel behavior studies that have used the power of big data to answer compelling planning questions empirically.