Member article by Rhevia
The Department for Transportʼs Transport Data Action Plan signals a clear shift in how transport decisions will increasingly be made across the UK more interoperable data, stronger standards, better AI readiness, and a move away from disconnected evidence sources. For local authorities, this means transport data can no longer sit in isolated surveys, PDF reports, or single-scheme studies. The expectation is moving toward reusable evidence layers that can be shared across teams, connected into wider transport systems, and used repeatedly for planning, validation, funding cases, and long-term network management.
In practical terms, this raises the bar for how schemes are assessed. It is no longer enough to know what infrastructure exists or what was originally designed.
Authorities increasingly need evidence of how environments are actually performing in the real world: whether pedestrians are using crossings as intended, where informal desire lines are emerging, how floating bus stop interactions differ by location, how school street behaviour changes throughout the day, and whether temporary traffic management layouts are producing unintended risk or delay. The DAP effectively moves the sector toward evidence that is continuous, explainable, and capable of feeding future AI and operational decision-making.
For many local authorities, this exposes a missing layer in the current transport data stack: live behavioural evidence. Most authorities already have strong datasets covering assets, counts, schedules, and infrastructure layouts. What is often missing is a consistent way to understand how people, vehicles, and assets actually behave within those environments, and whether that behaviour supports or undermines scheme objectives. This behavioural layer becomes increasingly important as authorities look to justify investment, respond to stakeholder concerns, and build stronger business cases around active travel, roadside safety, and multimodal integration.
This is where Rhevia fits naturally. We provide the behavioural movement layer that complements existing transport datasets, helping authorities understand how environments really move and creating a reusable evidence base for safer, more confident decisions. In the context of the DAP, this means enabling councils to connect real-world movement behaviour into the wider transport data ecosystem rather than relying on isolated snapshots or assumptions.
Register for the upcoming LCRIG-hosted webinar with Rhevia, taking place on 28 April to learn more.
https://www.gov.uk/government/publications/transport-data-strategy-innovation-through-data?utm_sour ce=chatgpt.com “Transport data strategy: innovation through data – GOV.UK”
(Image – Rhevia)