We fuse data from many different passive sources to give you a better idea of who, when, where, and why people are traveling.
“CityCast.io was effective at letting us test different service scenarios, and Josie Kressner was a pleasure to work with! I appreciate having a platform that works across multiple cities and look forward to being able to generalize from multi-city studies in the future.”
GREG ERHARDT PHD
ASSOCIATE PROFESSOR OF CIVIL ENGINEERING
UNIVERSITY OF KENTUCKY
Why?
Mobility is critical to the health and growth of any metropolitan region. To decide where roads, buildings, trains, buses, and sidewalks should be built or improved in the future, one must know about the population and their movements.
Traditionally, governments and the private sector have collected surveys in order to understand the relationship between demographics and travel behavior when planning for the future, but surveys are increasingly expensive and onerous.
What?
Transport Foundry produces person-level synthetic travel data. Synthetic data are representative of the real environment, but they do not contain any one person's exhibited travel to protect individual privacy. This means that collectively the data maintain the statistical relationships that are most important to planners, engineers, and researchers, but individually the travel data are generated using statistical techniques and data fusion.
The person-level synthetic travel data include nearly 100% of the population with individual information like gender, age, household income, and number of vehicles. Appended to each person's demographic data is a travel diary that reveals where, when, why, and how each person travels.
How?
We combine passive consumer and location data (including GPS, signal, and Wi-Fi) from a multitude of sources to produce data that meticulously mimics the travel patterns of citizens within a particular city, without compromising the privacy of individuals.
We employ a synthesis process that fuses data from many different passive sources to give you a better idea of individual travel behavior.
In addition, we build tools to make this data consumable, including visualization and analytical tools for broader audiences.