Basecast

What is Basecast

Basecast is Motionworks' population movement intelligence family. Where Placecast measures what happens at specific places and Pathcast measures traffic along linear segments, Basecast measures movement at the broadest geographic scale: total trips and person-miles traveled for the population living in counties and Designated Market Areas (DMAs) across the United States.

The unit of analysis in Basecast is the resident population of a geography, not visitors to it. Every metric — trips, person-miles traveled, trips per capita, stayed-at-home counts, and commute tallies — is anchored to people whose primary residence falls within the reporting county or DMA. This makes Basecast the right signal for understanding how a market's own population is moving, as distinct from who happens to be present in that market on a given day.

Basecast data are derived from trips observed in the Motionworks panel and processed through the Motionworks Population Intelligence Platform — the same methodology family that underlies Popcast and Placecast. Trips are summed to total counts and person-miles within each county or DMA for each date. Population weighting scales the observed panel to the resident population of each geography. Data are released monthly, covering each day of the prior month, with a 15-day latency after the close of the reporting period. The historical time series extends back to January 1, 2019.

Who uses Basecast

• Transportation and city planners use Basecast as a validation dataset for four-step and activity-based travel demand model outputs, and to understand how trip volume and commute patterns fluctuate by market area — informing decisions about transit routes, bike lanes, and other multi-mobility infrastructure.
• Urban resilience researchers use daily and monthly trip trends to track how the urban environment responds to shocks — pandemic-era distancing protocols, major weather events, infrastructure closures — and to measure recovery trajectories.
• Out-of-home and radio advertisers use Basecast's market-level travel trends to characterize general travel "health" in specific DMAs and to quantify the impact of storms or major events on travel in those markets.
• Retail and real estate developers use Basecast's underlying migration and commute patterns to evaluate suitable locations for offices, retail, and mixed-use development, grounding site selection in how the resident population actually moves.

Data dimensions at a glance

Methodology summary

Basecast is derived from trips observed in the Motionworks panel, processed through the Motionworks Population Intelligence Platform — the same methodology family that powers Popcast and Placecast. Trips are identified from quality-filtered, opted-in mobile location signals, then summed to total counts and person-miles within each county or DMA on each calendar date. Population weighting scales the observed panel to the resident population of each geography using Census-based control totals.

The product schema extends beyond raw trip counts to include derived behavioral indicators: stayed-at-home counts, zero-trip persons, went-to-work persons, and both mean and median per-capita trip and person-miles metrics. This enables both aggregate trend analysis and distributional comparisons across markets and time periods.

Full methodology → Motionworks Methods: Population Intelligence

Jobs this family powers

• Movement Analysis — Trip volume and person-miles trends by county and DMA, useful for understanding travel patterns, quantifying the impact of events on movement, and validating travel demand model outputs. Basecast by Date is the foundational time series for market-level mobility research.
• Audience Planning — County-level commute and travel patterns inform audience definitions and market selection for residents of specific geographies. Basecast's resident-anchored perspective complements Placecast's visitor-anchored view, together painting a complete picture of who is moving where and from which home geography.