Monday, April 15, 2019 from 8:30 a.m. - 9:45 a.m. PDT
Activity Type: Educational Sessions
Activity ID: NPC198021
- Learn about designing a data-integration framework that uses multiple sources of data about bike/ped activity.
- Get a sense of what big data can and can't do to support state, regional, and local collaboration for bike/ped planning.
- Learn about the most up-to-date information about bike/ped data availability.
MORE SESSION DETAILS
Since early 2018, Caltrans has been working with several big data providers to integrate all available about active modes of travel on and near state-owned facilities. This data has been combined into an industry-leading integrated big data tool. This tool mixes data from special biking/walking apps, other app-based location-based data with mode inference, bike and pedestrian stationary counters, and survey data. It is designed to answer key questions that matter to a state DOT, for their own planning and to coordinate with local agencies. The panel, a mix of Caltrans officials and tool designers, discuss key decisions, share best practices for data integration, and review hurdles. Bike/ped data is hard to come by, and bike/ped data about lower-income residents is harder still. Get insights as the panelists discuss how the team overcame this particular hurdle with new data collection techniques. Watch then team demonstrate how to use the tool to answer important questions for active mode planning, then help design study questions.