The Platform

The Demand Surface Platform

Three integrated capabilities — data fusion, H3 spatial analysis, and planning intelligence outputs — that move agencies from fragmented data silos to defensible, auditable planning decisions. Built for the procurement standards and data-handling requirements of public-sector agencies.

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Layer 1

Data Fusion Engine

Mobvynt normalizes and merges four open-data streams into a unified spatiotemporal dataset. No proprietary location tracking, no PII — only the public feeds your agency already operates.

  • GTFS static schedules and GTFS-RT trip updates, vehicle positions
  • GBFS 2.3 bike-share station status, trip origination, and vehicle telemetry
  • Intersection counts via REST and NTCIP camera APIs (aggregated counts only)
  • LEHD LODES employment density and ACS 5-year commute pattern overlays
Explore all data sources
Update frequencyGTFS-RT: 30s / GBFS: 15s
RetentionRolling 24 months
NormalizationCommon H3 index + UTC epoch
PII handlingNo individual trips stored
Export formatsGTFS, GeoJSON, CSV, Shapefile
Layer 2

Demand Surface Analysis

H3 hexagonal grid at resolution 8 (0.74 km² per cell) for temporal demand mapping. Captures where people want to travel, not just where existing routes run — revealing coverage gaps invisible in TAZ-based models.

  • Hourly, daily, and weekly demand index per hex cell
  • Mode-split disaggregation: transit, bike-share, pedestrian, vehicle
  • Coverage gap scoring: demand density vs. nearest service interval
  • Equity-weighted demand overlay using ACS demographics
  • TAZ compatibility export for existing four-step model integration
Read the H3 methodology
Layer 3

Planning Intelligence Outputs

Actionable outputs designed for the documents your agency actually needs to produce — from LRTP project justifications to Title VI compliance filings.

Route Recommendations

Corridor-level recommendations ranked by demand gap score. Each recommendation includes supporting hex demand maps and modal split breakdown for inclusion in planning reports.

Coverage Gap Reports

Spatial analysis of high-demand hex cells with low or no transit service. Equity-weighted scoring available for Title VI documentation and Environmental Justice reporting.

GTFS Scenario Export

Proposed route changes exported as valid GTFS feeds compatible with CAD/AVL systems, GTFS validators, and trip planner sandbox environments for stakeholder review.

Modal Shift Analysis

Quantify mode substitution effects between transit, bike-share, and vehicle corridors. Supports CMAQ project applications and TDM program evaluation.

LRTP Scenario Comparison

Compare up to four network scenarios against the baseline demand surface. Visualize ridership impact projections for each alternative investment strategy.

Equity Impact Mapping

ACS-weighted demand analysis highlighting service access disparities for Title VI protected populations. Export-ready for federal compliance documentation.

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See the platform with your data

Connect your GTFS feed and see demand surface results from your own network in a 30-minute live demo.

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