Professional Background & Credentials
My name is Rob Grant. I am presenting this briefing note as Technical Advisor to the School Transport Action Group (STAG). My evaluation of North Yorkshire Council’s proposed transport policy change is grounded in two decades of commercial transport modelling and enterprise data analytics:
Transport Planning & Engineering
I hold a Master's degree in Transport Planning and Engineering and worked professionally as a commercial Transport Planner. My background includes building network models, optimising vehicle routing, and analysing rural accessibility constraints.
Enterprise Analytics & Financial Risk
I spent 15 years leading data analytics functions in UK retail banking. My work focused on predictive risk modelling Predictive Risk Modelling A mathematical approach using historical data to forecast future operational friction, customer behavior, and financial liabilities under policy changes. , stress-testing financial forecasts, and auditing multi-million-pound operational budgets.
This briefing note and accompanying financial framework model do not present a political argument. They provide a rigorous, objective stress-test of the operational and financial assumptions underpinning the Council's projected budget savings.
What the Financial Framework Model Does
When North Yorkshire Council evaluated shifting transport eligibility from a pupil's catchment school to their nearest school, official reports projected a mature annual gross budget saving of £4,263,445.
Crucially, the Council's official figure represents a gross saving claim that assumes 100% opt-out—meaning it assumes that 100% of families losing transport passes will make private travel arrangements, requiring zero replacement transport from the Council. However, in separate executive assessments, NYC explicitly acknowledged an assumed 70% Opt-Out Rate Opt-Out Rate The estimated percentage of families who adapt to policy cuts by arranging their own travel, leaving 30% requiring alternative statutory council transport. (leaving 30% requiring alternative statutory transport).
The STAG Financial Framework Model keeps the Council's baseline savings target intact but introduces the inevitable operational friction, replacement transport, and statutory costs required to run the policy in the real world:
- Replacement Transport Contracts: The cost of commissioning taxis and minibuses for pupils who remain statutory eligible in rural villages after main bus routes are cut.
- Statutory Phased Commitments ( Cohort Lag Cohort Lag The operational delay in realizing savings caused by existing pupils retaining legal transport rights until Year 11, preventing instant route cuts. ): Existing pupils legally retain transport rights until Year 11 (a 5-year secondary career), preventing legacy bus routes from being cancelled overnight.
- Dispute Resolution Administration: Staff, legal, and panel costs incurred by processing parent appeals through Stage 1, Stage 2, and Ombudsman hearings.
When secondary operational costs and statutory phasing rules are introduced alongside NYC's own 70% opt-out expectation, the Council's claimed £4.26m savings are heavily eroded. Under standard operational defaults, the policy creates a net financial deficit for the Council.
An Industry-Standard Modelling Approach
A common question councillors ask is whether STAG’s model uses standard, accepted techniques. The answer is yes. The Council’s original estimate relied on a simple top-down assumption: if bus passes are cut by a certain percentage, transport spending drops by the exact same percentage. In real-world transport planning, this simple assumption fails because it ignores how physical vehicle contracts and rural geography work.
STAG's model replaces paper estimates with standard bottom-up transport logistics modelling. This is the exact same methodology used by commercial transport operators, government departments, and financial risk teams:
Department for Transport (DfT) Guidelines
DfT transport appraisal rules explicitly require planners to account for fixed vehicle step-costs Step-Costs Operating costs that remain constant across capacity bands—a bus operator charges for the whole vehicle regardless of whether 5 or 50 passengers board. . A bus operator charges for the entire vehicle contract regardless of whether 5 pupils or 50 pupils board the bus.
Commercial Routing Engines
Commercial transport software (like those used by bus companies and delivery fleets) always divides regions into distinct local feeder corridors rather than treating a whole county as one combined pool. This reflects real-world physical boundaries.
Local Authority Real-World Evidence
When other large rural councils—such as Essex County Council and Warwickshire County Council—reviewed transport policies, post-implementation audits proved that actual savings lagged years behind paper targets because older pupils retained legal transport rights, forcing legacy routes to keep running.
STAG’s model uses standard commercial transport planning and financial risk methodology. The difference between our model and the Council’s paper estimate is simple: the Council modelled entitlement cuts on paper, whereas STAG modelled how vehicle contracts and rural road networks operate in reality.
Model Architecture: Fully Open & Transparent Framework
We have engineered an open framework model. Nothing is hidden—there are no black-box algorithms Black-Box Algorithms Opaque calculations where inputs and rules are concealed from the user. STAG's framework is 100% linear, transparent, and auditable. , arbitrary fudge factors, or hidden automated calibrations. Every formula is linear and auditable. We have pre-loaded the framework with robust, defensible default values, but every single parameter remains 100% visible and fully amendable by any user to test alternative policy scenarios.
1. Cohort Stacking (Phased Rollout)
Policy changes apply only to incoming Year 7 starters. Year 1 has 1 affected intake; Year 2 has 2; reaching a full 5-cohort stack in Year 5. Legacy bus routes must remain active to transport older children, destroying immediate route cancellation savings.
2. Geographic Partitioning (50 Zones)
North Yorkshire's affected population lives across 50 distinct primary feeder hubs. The model splits children across 50 rural micro-geographies Micro-Geographies Dividing the county into local primary feeder zones to reflect real village distribution rather than assuming impossible county-wide bus merging. , preventing the model from assuming impossible county-wide bus route merging.
3. Dynamic Vehicle Tiering
Within each zone, pupils unable to access large buses are assigned standard Taxis. As pupil volume in a cluster accumulates over time, the engine dynamically upgrades transport to Minibuses or Coaches to find the cheapest compliant contract.
Parameter Audit & Data Sources
Every input parameter in the model framework is transparent, amendable, and grounded in official NYC publications, statutory education guidelines, or regional transport market benchmarks:
| Parameter Name | Default | Source & Justification |
|---|---|---|
| Children Affected / Year | 340 | NYC Source Official NYC Executive Report estimate of new Year 7 pupils losing free transport annually. |
| Council Claimed Savings | £4,263,445 | NYC Source Official NYC gross budget target at maturity. Note: This gross figure assumes an impossible 100% opt-out rate. |
| Opt-Out Rate | 70% | NYC Source Official NYC parameter. NYC assumes 70% of affected families make private arrangements, leaving 30% (102 pupils/yr) requiring replacement transport. |
| School Career Duration | 5 Years | Statutory Rule Key Stage 3 & 4 secondary duration (Years 7–11). Existing pupils legally retain transport until completion. |
| Feeder Zones / Clusters | 50 Zones | Geographic Realism Maps to NYC’s 50+ rural primary hubs, reflecting real village distribution and preventing false routing integration. |
| Rural Isolation Rate | 25% | Transport Benchmark Proportion of deep rural pupils down narrow lanes inaccessible by minibus, requiring dedicated taxi runs. |
| Taxi Contract Rate | £150 / day | Realistic Market Rate Standard rural private hire contract rate (190 school days/yr, capacity 3 pupils). |
| Minibus Contract Rate | £250 / day | Realistic Market Rate Commercial 16-seat minibus contract rate with driver (triggered at 8+ pupils in a zone). |
| Coach Contract Rate | £500 / day | Realistic Market Rate Commercial 50-seat coach contract rate (triggered at 17+ pupils in a zone). |
| Appeals Rates (S1 / S2 / S3) | 45% / 50% / 20% | STAG Estimate Estimated proportion of affected families lodging Stage 1 reviews, Stage 2 panels, and Stage 3 Ombudsman complaints. |
| Appeals Unit Costs | £150 / £750 / £1,400 | STAG Estimate Estimated officer time, panel honorariums, clerk, and legal costs per appeal stage based on operational benchmarks. |
Scenario Sensitivity Testing
Because this model is built as an open, customizable framework, no parameters are hidden. Test the sensitivity of the policy's net budget outcome by adjusting key operational parameters below:
Live Scenario Controls
Adjust the sliders to observe how real-world operational variables impact 7-Year net savings in real time:
Transport Inelasticity & Network Economies of Scale
A central error in traditional municipal budgeting is assuming transport costs scale linearly with pupil numbers—i.e. assuming that withdrawing transport entitlement from 50% of pupils on a bus cuts route operating costs by 50%. In transport planning, this is demonstrably incorrect due to cost inelasticity Cost Inelasticity The logistical reality that vehicle contract expenses do not shrink proportionally when passenger numbers drop, because fixed costs remain mandatory. .
Fixed Vehicle Step-Costs
A 50-seat commercial coach costs ~£500/day regardless of whether it carries 50 pupils or 5 pupils. Driver wages, fuel, licensing, and vehicle capital costs are fixed. If policy changes reduce statutory pupils on a bus route from 35 down to 6, the Council cannot "half-cancel" the vehicle. As long as 6 pupils retain entitlement, the vehicle must run at full cost.
Route Fracturing & Cost Spikes
Cancelling a double-decker bus route leaves statutory pupils scattered across isolated villages. Because they live miles apart in deep countryside, picking them up on a single route creates illegal 2-hour travel times. The Council is forced to hire multiple taxis. Cost per pupil spikes from £10/day on a shared bus to £50–£150/day in bespoke taxis.
Statutory Minimum vs. Lowest Cost
In transport network logistics, minimal statutory coverage does not equal minimal financial cost. Efficient transport requires passenger volume to achieve economies of scale Economies of Scale Cost advantages gained when passenger volume increases, reducing the average cost per pupil carried across a network. . Consolidating pupils onto high-capacity buses is dramatically cheaper per head than running fragmented taxi networks across England's largest rural county.