Opportunity
Transport Economic Impact Intelligence Platform
Transport authorities need to connect route, fare, station and service changes to wider outcomes such as jobs, housing delivery, town-centre activity, visitor spend and access to opportunity.
Decision snapshot
- Primary user
- Combined authorities, local transport authorities, economic-development teams and major transport-programme sponsors.
- Likely buyer
- Transport/economic-development bodies pay; analysts and economists use the system. Formal appraisal remains governed by DfT TAG and professional judgement.
- Why now
- Authorities may pay if they can update economic impact evidence faster between formal appraisal cycles.
- Initial wedge
- A transport economic-outcomes layer that joins operational changes with planning, property, employment and visitor data and preserves assumptions and outcome evidence over time.
- Key uncertainty
- Raise it above 78 if repeat deployments show faster, decision-used post-implementation evidence across several intervention types. Lower it below 65 if existing BI/TAG workflows are readily reusable.
The problem
Transport authorities need to connect route, fare, station and service changes to wider outcomes such as jobs, housing delivery, town-centre activity, visitor spend and access to opportunity.
Operational consequences
Transport, planning, property, employment and business evidence is often held separately, making appraisal and post-implementation evaluation slow and difficult to refresh.
Who is underserved
Combined authorities, local transport authorities, economic-development teams and major transport-programme sponsors.
Buyer and user context
Transport/economic-development bodies pay; analysts and economists use the system. Formal appraisal remains governed by DfT TAG and professional judgement.
Evidence
Current franchising programmes create more frequent local decisions with measurable economic consequences.
Evidence interpretation
The opportunity survives as an operational evidence-refresh layer rather than a replacement appraisal model. The original 78 score is slightly high because established appraisal methods and consulting capability are mature.
Demand
Authorities may pay if they can update economic impact evidence faster between formal appraisal cycles.
Validation approach
Run 3–5 live or historic transport interventions over 12 weeks and compare evidence-assembly time, update frequency and decision use against the current TAG/consultancy workflow.
Competition
DfT TAG, transport consultancies, GIS/BI, regional observatories and accessibility/economic modelling tools are strong substitutes.
Potential defensibility
A maintained intervention-to-outcome history, reusable data joins and longitudinal actual-vs-forecast evidence could create value beyond one-off appraisal.
The opportunity
A transport economic-outcomes layer that joins operational changes with planning, property, employment and visitor data and preserves assumptions and outcome evidence over time.
Intended outcome
Help authorities refresh and compare economic-impact evidence without replacing formal TAG appraisal.
Commercial model
Pricing classification
Public-sector analytics — medium confidence.
Indicative pricing
- 3–5 intervention pilot: £15,000–£30,000 - Annual authority licence: £25,000–£60,000 - Formal economic appraisal/consultancy: separately scoped
Evidence basis: Authorities already spend on appraisal and analytics, so value must come from reducing repeated evidence assembly and maintaining post-implementation outcomes.
Commercial test
Ask one authority to fund £15,000–£30,000 for a 12-week pilot covering 3–5 transport interventions. Continue only if evidence-assembly/update time falls by at least 25%, at least two live decisions use the outputs and the authority funds an annual monitoring cycle. Stop if existing TAG consultants, GIS/BI and observatory tools already provide equivalent refreshable evidence.
Monetisation models and pricing estimates are research-informed and indicative only. Where direct pricing evidence is unavailable, estimates may use comparable products, procurement data, adjacent market benchmarks and stated assumptions. They are not financial advice, forecasts or guarantees of commercial viability. Independent market, legal and financial validation is recommended before acting.
Score rationale
Underserved score 73/100
The score is revised from 78 to 73/100. The buyer need is real, but DfT appraisal infrastructure and mature consultancy/analytics capability reduce the underserved gap.
What would change the score
Raise it above 78 if repeat deployments show faster, decision-used post-implementation evidence across several intervention types. Lower it below 65 if existing BI/TAG workflows are readily reusable.
The score is evidence-informed editorial judgement based on manually reviewed sources. It is not a forecast or guarantee. How we score →
Evidence sources4
- DfT — Bus franchising manual
gov.uk · 29 Jan 2026
Practical guide to support local authorities with the bus franchising process.
- LCRCA — 2026 bus franchising rollout
liverpoolcityregion-ca.gov.uk
In one of the biggest shifts in local transport policy in a generation, the Liverpool City Region has appointed two new operators to run its first publicly cont
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