Reliable, Granular and Timely Insight
Transforming Public Transport Insight with Kogenta Connect.
The Challenge: Planning with Partial Visibility
Public transport operators, authorities, and planners face a growing need to make data-driven decisions — yet the data itself is often fragmented, outdated, or incomplete. Common challenges include:
- Limited visibility of how passengers actually move across modes and networks
- Fragmented datasets across ticketing, sensors, and surveys
- Infrequent data refreshes that can’t keep pace with behavioural change
- Lack of ground truth for validating models and forecasts
- Difficulty combining data from multiple stakeholders in a privacy-safe way
Without reliable, granular, and timely insights into where, when, and why people travel, transport systems risk under- or over-serving demand – with real cost, congestion, and carbon consequences.
The Solution: Kogenta Connect for Transport.
Kogenta Connect provides a unified, high-fidelity data framework that reveals how people move through the transport network — combining survey intelligence, sensor and mobile movement data, and contextual demographics into a single, validated source of truth.
Built on the Kogenta Grid — our H3 hexagon-based spatial framework — every data layer aligns perfectly in space and time, giving operators and planners a continuous, high-resolution understanding of passenger behaviour.
Specialised Transport Data Layers.
Kogenta Connect combines standard and transport-specific layers for a comprehensive view of mobility:
Busyness Layer
A rich, AI-driven view of how busy different areas are – hour by hour, day by day, hex by hex. By fusing multiple independent signal sources into a unified model, this layer infers real-world human activity with exceptional accuracy and consistency. No single dataset dominates the output, ensuring robust, balanced insights that can be confidently compared across locations.
Forecasted Busyness Layer
A forward-looking model that predicts human activity at an hourly level across every H3 cell on the grid. Using advanced AI to learn behavioural patterns, fill data gaps, and synthesise historical trends, this layer enables planners and analysts to see not just what is happening – but what is likely to happen next.
Origin–Destination Flow Layer
An AI-enhanced, multi-modal model of movement between origins and destinations. Built on multi-modal network structures and trained on validated transport data, this layer delivers high-fidelity OD flows that reflect the real dynamics of how people travel – across modes, times, and regions.
Journey Layer
High-accuracy movement data based on detailed, individual journeys that have been anonymised and aggregated from opted-in applications, typically Transport or Panel applications and sourced via the Kogenta SDK where the user has opted in.
Places Layer
Catalogues commercial, civic and transport locations – shops, venues, schools, stations, and more – linking people movement to the points of interest in a location.
Demographics Layer
Profiles populations across age, household type, income, education and occupation – giving context to who resides in an area. Combined with Movement data, a powerful picture emerges of the demographics of the people travelling into, through and out of an area.
Expenditure Layer
Maps household and consumer spending across multiple categories – from groceries and entertainment to travel and luxury goods – providing deep insight into local purchasing power. When combined with Movement data a powerful view of the expenditure habits of the people travelling into, through and out of an area emerges.
Survey Layer
Rapid, geo-contextual surveys reach verified travellers, adding intent, satisfaction, and purpose data to enrich behavioural signals. Blends large-scale survey responses and opt-in data with behavioural signals, adding qualitative understanding to quantitative data. Sourced from reputable market research partners or directly by our own survey engine.
The Results: smarter, more sustainable, more responsive transport systems.
With Kogenta Connect, transport planners and operators can:
Visualise live and historical passenger movements
Quantify demand and catchment areas with precision
Simulate network changes using validated behavioural models
Measure the true impact of campaigns, events, or policy changes
Share consistent, privacy-compliant datasets across agencies
It’s the data foundation for smarter, more sustainable, and more responsive transport systems.