From eb244d2093b3cc22b8ae27c10eb8c21be6efd915 Mon Sep 17 00:00:00 2001 From: vahid-ahmadi Date: Sat, 24 Oct 2026 11:19:52 +0100 Subject: [PATCH 1/2] Rerun on policyengine 6.10.2 and certified Microcosm UK data MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Make managed_microsimulation on the bundle-certified microcosm_uk_2024_25 build the only simulation path, holding the £3 cap all year because policyengine-uk 2.132.6 current law already applies the £2 cap from 2027. Drop the direct policyengine-uk pin, add uv.lock, record model and data provenance in the results JSON and on the page, regenerate results and update methodology text. Co-Authored-By: Claude Opus 5.5 --- .gitignore | 2 + README.md | 18 +- dashboard/app/page.jsx | 7 +- .../public/data/bus_fare_cap_results.json | 730 ++++--- dashboard/src/components/BaselineTab.jsx | 8 +- dashboard/src/components/MethodologyTab.jsx | 38 +- dashboard/src/components/ReformTab.jsx | 9 +- data/bus_fare_cap_results.json | 730 ++++--- pyproject.toml | 11 +- src/bus_fare_cap/pipeline.py | 131 +- src/bus_fare_cap/sources.py | 47 +- tests/test_results.py | 14 + uv.lock | 1717 +++++++++++++++++ 13 files changed, 2549 insertions(+), 913 deletions(-) create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore index 6aebe16..64aa727 100644 --- a/.gitignore +++ b/.gitignore @@ -8,3 +8,5 @@ node_modules/ .next/ .vercel/ .vercel +data/*.h5 +.venv/ diff --git a/README.md b/README.md index dcbd625..e0cd8fd 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # £2 bus fare cap analysis -Source-backed analysis of the £2 bus fare cap announced by the UK government on 22 July 2026, with PolicyEngine UK distributional context from the Enhanced FRS. +Source-backed analysis of the £2 bus fare cap announced by the UK government on 22 July 2026, with PolicyEngine UK distributional context from the certified Microcosm UK dataset. **Live dashboard:** https://bus-fare-cap.vercel.app @@ -15,11 +15,11 @@ The dashboard estimates the fiscal cost independently. The government figure is ## Analysis -PolicyEngine projects household bus and coach fare spending to 2027 by English region outside London, family type, age and income quintile. Household fares are imputed from the LCFS and calibrated to DfT Annual Bus Statistics in `policyengine-uk-data`, then allocated to household members by `person_bus_fare_spending` in `policyengine-uk`, which applies an NTS-derived age profile. This repo contains only the reform modelling and the dashboard. +PolicyEngine projects bus fare spending in 2027 by English region outside London, family type, age and income quintile. The simulation runs through `policyengine.py`'s `managed_microsimulation`, which pins `policyengine-uk` and the certified Microcosm UK dataset together; the results JSON records the policyengine and policyengine-uk versions and the dataset name, build revision and SHA-256. In `policyengine-uk`, `person_bus_fare_spending` prices each person's imputed local-bus trips at DfT passenger receipts per fare-paying boarding, and concessionary pass holders pay nothing. Current law in `policyengine-uk` already applies the £2 cap from January 2027, so the pipeline holds the cap at £3 to measure the base. This repo contains only the reform modelling and the dashboard. -Distributional calibration of household fares — DfT's London/outside-London receipts split (BUS05ai) and NTS0705a local-bus trip rates by income quintile — happens upstream in the policyengine-uk-data build (PolicyEngine/policyengine-uk-data#447); this repo consumes the calibrated dataset. The pipeline applies a 12.5% all-ticket reduction (range 10–15%), derived from Table 6 of DfT's £2-cap evaluation re-weighted for the £3-cap counterfactual and cap-era ticket mix. +The pipeline applies a 12.5% all-ticket reduction (range 10–15%), derived from Table 6 of DfT's £2-cap evaluation re-weighted for the £3-cap counterfactual and cap-era ticket mix. -Results are reported against two counterfactuals. The **fare reduction** (~£273m) assumes a £3 cap runs throughout 2027. **Versus funding expiry** (~£409m) reflects current law, under which £3 funding ends on 31 March 2027, so nine of twelve months would otherwise be uncapped; it adds an 8.3% cap-existence wedge derived from the £151m one-year cost of the £3 cap. The second figure is the like-for-like comparison with the government's £400m of England funding. Household savings sum to the modelled fiscal cost; average household effects divide each group's savings by all households in that group. The official funding figures are not inputs. +Results are reported against two counterfactuals. The **fare reduction** (~£354m) assumes a £3 cap runs throughout 2027. **Versus funding expiry** (~£531m) reflects current law, under which £3 funding ends on 31 March 2027, so nine of twelve months would otherwise be uncapped; it adds an 8.3% cap-existence wedge derived from the £151m one-year cost of the £3 cap. The second figure is the like-for-like comparison with the government's £400m of England funding. Household savings sum to the modelled fiscal cost; average household effects divide each group's savings by all households in that group. The official funding figures are not inputs. ## Layout @@ -31,15 +31,11 @@ Results are reported against two counterfactuals. The **fare reduction** (~£273 ```bash pip install -e ".[dev]" -export HF_TOKEN=hf_xxx +export HUGGING_FACE_TOKEN=hf_xxx # or a saved `huggingface-cli login` python -m bus_fare_cap --year 2027 ``` -The default private Enhanced FRS dataset is pinned for reproducibility. The optional Populace path remains available: - -```bash -BUS_FARE_CAP_POPULACE=1 python -m bus_fare_cap --year 2027 -``` +The Microcosm UK dataset is private. `uv.lock` pins `policyengine` 6.10.2, which certifies `policyengine-uk` 2.132.6 and the `microcosm_uk_2024_25` build it uses. ## Caveats @@ -47,7 +43,7 @@ BUS_FARE_CAP_POPULACE=1 python -m bus_fare_cap --year 2027 - London and the devolved nations are excluded from the policy-geography analysis. - The 12.5% reduction is a derived re-weighting of 2023 £2-cap evidence, not an observed £3→£2 outcome. - Existing local £2-or-lower fares and individual ticket prices cannot be identified. -- People in fare-spending households are an exposure proxy, not observed passengers or confirmed beneficiaries. +- People with modelled fare spending are an exposure proxy, not observed passengers or confirmed beneficiaries. Microcosm UK gives every person at least a few imputed local-bus trips a year, so everyone not eligible for a concessionary pass has some modelled fare spending. - The estimate is static and excludes induced demand. Route/operator fare data would enable a stronger ticket-level model. ## Dashboard diff --git a/dashboard/app/page.jsx b/dashboard/app/page.jsx index 8e1eafb..ef93373 100644 --- a/dashboard/app/page.jsx +++ b/dashboard/app/page.jsx @@ -120,10 +120,11 @@ function Dashboard() { PolicyEngine/bus-fare-cap . Built with{" "} - - policyengine-uk + + policyengine {" "} - v{data?.policyengine_uk_version || "2.89.2"}. + v{data?.policyengine_version} (policyengine-uk v{data?.policyengine_uk_version}) on{" "} + {data?.dataset_name}.

diff --git a/dashboard/public/data/bus_fare_cap_results.json b/dashboard/public/data/bus_fare_cap_results.json index 3d09799..19557cb 100644 --- a/dashboard/public/data/bus_fare_cap_results.json +++ b/dashboard/public/data/bus_fare_cap_results.json @@ -3,10 +3,20 @@ "projection_year_label": "2027", "policy_period_label": "1 January\u201331 December 2027", "currency": "GBP", - "dataset": "PolicyEngine UK Enhanced FRS (enhanced_frs_2024_25)", - "dataset_source": "enhanced-frs", - "simulation_stack": "policyengine-uk (direct)", - "policyengine_uk_version": "2.89.3", + "dataset": "PolicyEngine Microcosm UK (microcosm_uk_2024_25)", + "dataset_source": "microcosm-uk", + "simulation_stack": "policyengine.py (managed_microsimulation)", + "counterfactual_reform": { + "gov.dft.bus.fares.cap": { + "2027-01-01.2028-12-31": 3 + } + }, + "policyengine_version": "6.10.2", + "policyengine_uk_version": "2.132.6", + "policyengine_bundle_id": "uk-6.10.2", + "dataset_name": "microcosm_uk_2024_25", + "dataset_revision": "microcosm-uk-2024-25-national-20261019T083323Z-6cba5d71", + "dataset_sha256": "810ba980005a8b907cb51464279fa5e0125464b7af9a4871b7f6744c30951ece", "reform_definition": { "baseline_fare_cap_gbp": 3, "reform_fare_cap_gbp": 2, @@ -32,24 +42,24 @@ "cap_existence_reduction": 0.083, "months_vs_three_pound_cap": 3, "months_vs_no_cap": 9, - "distributional_calibration": "Upstream in policyengine-uk-data: BUS05ai regional split and NTS0705a income-quintile anchoring", - "incidence_method": "Derived all-ticket reduction applied to household fare spending, distributionally calibrated upstream in policyengine-uk-data", + "fare_spending_method": "policyengine-uk prices each person's imputed local-bus trips in Microcosm UK at DfT receipts per fare-paying boarding; concessionary pass holders pay nothing", + "incidence_method": "Derived all-ticket reduction applied to simulated person-level fare spending under a \u00a33 cap held all year", "behavioural": "static (no induced demand)" }, "sources": { "dft_fare": { "value": "\u00a33.4bn (England)", - "description": "DfT Annual Bus Statistics, year ending March 2025, table BUS05aii: passenger fare receipts on local bus services (England), ~52% of \u00a36.6bn operating revenue. Calibration target for bus_fare_spending, uplifted England->UK by population.", + "description": "DfT Annual Bus Statistics, year ending March 2025, table BUS05aii: passenger fare receipts on local bus services (England), ~52% of \u00a36.6bn operating revenue. Benchmark for bus_fare_spending, uplifted England->UK by population.", "url": "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025" }, "dft_subsidy": { "value": "\u00a33.0bn (England)", - "description": "DfT Annual Bus Statistics, year ending March 2025, table BUS05bii: total net government support for local bus services (England), of which \u00a30.8bn concessionary travel reimbursement. Calibration target for bus_subsidy_spending, uplifted England->UK by population.", + "description": "DfT Annual Bus Statistics, year ending March 2025, table BUS05bii: total net government support for local bus services (England), of which \u00a30.8bn concessionary travel reimbursement. Benchmark for bus_subsidy_spending, uplifted England->UK by population.", "url": "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025" }, "dft_income_quintile_trips": { "value": "Local bus trips/person/year, 2024: Q1 47.6 \u2026 Q5 13.0", - "description": "National Travel Survey table NTS0705a, 2024, 'Other local bus' (outside London): average trips per person per year by household income quintile \u2014 Q1 47.6, Q2 37.5, Q3 24.8, Q4 18.5, Q5 13.0. Anchors the income distribution of household fare spending in the policyengine-uk-data build (assuming a common average fare per trip across quintiles).", + "description": "National Travel Survey table NTS0705a, 2024, 'Other local bus' (outside London): average trips per person per year by household income quintile \u2014 Q1 47.6, Q2 37.5, Q3 24.8, Q4 18.5, Q5 13.0. Reference for the income gradient of bus use; not a calibration input in this pipeline.", "url": "https://www.gov.uk/government/statistical-data-sets/nts07-car-ownership-and-access" }, "ons_population": { @@ -59,7 +69,7 @@ }, "nts_age_profile": { "value": "Bus trips by age; 17-20 peak", - "description": "National Travel Survey 2023 bus trips by age (concessionary-adjusted), used to allocate household bus fares to individuals.", + "description": "National Travel Survey 2023 bus trips by age (concessionary-adjusted). policyengine-uk uses this profile only to allocate reported household spending when journey data is absent; Microcosm UK supplies journeys.", "url": "https://www.gov.uk/government/statistics/national-travel-survey-2023/nts-2023-trips-by-purpose-age-mode-and-sex" }, "current_fare_cap_policy": { @@ -84,7 +94,7 @@ }, "dft_regional_fare_split": { "value": "England \u00a33,417m: London \u00a31,347m / outside London \u00a32,070m", - "description": "DfT Annual Bus Statistics table BUS05ai, year ending March 2025: passenger fare receipts by area. The within-England regional fare split is calibrated to this London/outside-London split in the policyengine-uk-data build, since the LCFS imputation under-captures London fares.", + "description": "DfT Annual Bus Statistics table BUS05ai, year ending March 2025: passenger fare receipts by area. Benchmark for the London/outside-London split of simulated fares.", "url": "https://www.gov.uk/government/statistical-data-sets/bus-statistics-data-tables" }, "three_pound_cap_2025_cost": { @@ -104,271 +114,271 @@ } }, "baseline": { - "total_bus_fare_bn": 4.231, - "total_bus_subsidy_bn": 3.578, - "population_m": 70.23, - "fare_paying_people_m": 19.36, + "total_bus_fare_bn": 4.886, + "total_bus_subsidy_bn": 3.664, + "population_m": 69.95, + "fare_paying_people_m": 48.53, "by_age_band": [ { "band": "0-15", - "fare_bn": 0.258, - "share": 0.061, - "people_m": 13.2 + "fare_bn": 0.602, + "share": 0.123, + "people_m": 12.42 }, { "band": "16-24", - "fare_bn": 0.703, - "share": 0.166, - "people_m": 7.23 + "fare_bn": 1.062, + "share": 0.217, + "people_m": 7.5 }, { "band": "25-44", - "fare_bn": 1.342, - "share": 0.317, - "people_m": 18.73 + "fare_bn": 1.884, + "share": 0.386, + "people_m": 18.81 }, { "band": "45-64", - "fare_bn": 1.056, - "share": 0.25, - "people_m": 17.73 + "fare_bn": 1.283, + "share": 0.263, + "people_m": 17.67 }, { "band": "65+", - "fare_bn": 0.871, - "share": 0.206, - "people_m": 13.33 + "fare_bn": 0.055, + "share": 0.011, + "people_m": 13.54 } ], "by_region": [ { "region": "London", - "fare_bn": 1.42 + "fare_bn": 1.358 }, { "region": "South East", - "fare_bn": 0.509 - }, - { - "region": "Yorkshire", - "fare_bn": 0.338 + "fare_bn": 0.513 }, { "region": "North West", - "fare_bn": 0.33 + "fare_bn": 0.51 }, { - "region": "Scotland", - "fare_bn": 0.301 + "region": "West Midlands", + "fare_bn": 0.468 }, { - "region": "Wales", - "fare_bn": 0.253 + "region": "Scotland", + "fare_bn": 0.398 }, { - "region": "West Midlands", - "fare_bn": 0.244 + "region": "Yorkshire", + "fare_bn": 0.361 }, { - "region": "North East", - "fare_bn": 0.214 + "region": "South West", + "fare_bn": 0.29 }, { "region": "East Midlands", - "fare_bn": 0.2 + "fare_bn": 0.241 }, { - "region": "South West", - "fare_bn": 0.197 + "region": "East of England", + "fare_bn": 0.24 }, { - "region": "East of England", - "fare_bn": 0.151 + "region": "North East", + "fare_bn": 0.211 }, { "region": "Northern Ireland", - "fare_bn": 0.075 + "fare_bn": 0.156 + }, + { + "region": "Wales", + "fare_bn": 0.14 } ], "breakdowns": { "region": [ { "group": "London", - "cost_bn": 1.42 + "cost_bn": 1.358 }, { "group": "South East", - "cost_bn": 0.509 - }, - { - "group": "Yorkshire", - "cost_bn": 0.338 + "cost_bn": 0.513 }, { "group": "North West", - "cost_bn": 0.33 + "cost_bn": 0.51 }, { - "group": "Scotland", - "cost_bn": 0.301 + "group": "West Midlands", + "cost_bn": 0.468 }, { - "group": "Wales", - "cost_bn": 0.253 + "group": "Scotland", + "cost_bn": 0.398 }, { - "group": "West Midlands", - "cost_bn": 0.244 + "group": "Yorkshire", + "cost_bn": 0.361 }, { - "group": "North East", - "cost_bn": 0.214 + "group": "South West", + "cost_bn": 0.29 }, { "group": "East Midlands", - "cost_bn": 0.2 + "cost_bn": 0.241 }, { - "group": "South West", - "cost_bn": 0.197 + "group": "East of England", + "cost_bn": 0.24 }, { - "group": "East of England", - "cost_bn": 0.151 + "group": "North East", + "cost_bn": 0.211 }, { "group": "Northern Ireland", - "cost_bn": 0.075 + "cost_bn": 0.156 + }, + { + "group": "Wales", + "cost_bn": 0.14 } ], "household_type": [ { "group": "Single", - "cost_bn": 1.67 + "cost_bn": 1.72 }, { - "group": "Couple No Children", - "cost_bn": 1.6 + "group": "Couple With Children", + "cost_bn": 1.551 }, { - "group": "Couple With Children", - "cost_bn": 0.864 + "group": "Couple No Children", + "cost_bn": 0.935 }, { "group": "Lone Parent", - "cost_bn": 0.097 + "cost_bn": 0.681 } ], "age_band": [ { "group": "0-4", - "cost_bn": 0.071 + "cost_bn": 0.004 }, { "group": "5-9", - "cost_bn": 0.104 + "cost_bn": 0.182 }, { "group": "10-14", - "cost_bn": 0.067 + "cost_bn": 0.348 }, { "group": "15-19", - "cost_bn": 0.191 + "cost_bn": 0.606 }, { "group": "20-24", - "cost_bn": 0.529 + "cost_bn": 0.524 }, { "group": "25-29", - "cost_bn": 0.406 + "cost_bn": 0.505 }, { "group": "30-34", - "cost_bn": 0.283 + "cost_bn": 0.458 }, { "group": "35-39", - "cost_bn": 0.406 + "cost_bn": 0.499 }, { "group": "40-44", - "cost_bn": 0.247 + "cost_bn": 0.421 }, { "group": "45-49", - "cost_bn": 0.207 + "cost_bn": 0.364 }, { "group": "50-54", - "cost_bn": 0.337 + "cost_bn": 0.361 }, { "group": "55-59", - "cost_bn": 0.301 + "cost_bn": 0.319 }, { "group": "60-64", - "cost_bn": 0.212 + "cost_bn": 0.239 }, { "group": "65-69", - "cost_bn": 0.274 + "cost_bn": 0.042 }, { "group": "70-74", - "cost_bn": 0.228 + "cost_bn": 0.006 }, { "group": "75-79", - "cost_bn": 0.119 + "cost_bn": 0.004 }, { "group": "80+", - "cost_bn": 0.25 + "cost_bn": 0.004 } ], "income_quintile": [ { "group": "Q1", - "cost_bn": 1.36 + "cost_bn": 1.204 }, { "group": "Q2", - "cost_bn": 1.036 + "cost_bn": 0.893 }, { "group": "Q3", - "cost_bn": 0.733 + "cost_bn": 0.979 }, { "group": "Q4", - "cost_bn": 0.634 + "cost_bn": 0.87 }, { "group": "Q5", - "cost_bn": 0.445 + "cost_bn": 0.939 } ] }, "official_comparison": { "total_bus_fare_bn": { - "ours": 4.23, + "ours": 4.89, "official": 4.02, - "kind": "Calibration target", + "kind": "Benchmark", "official_label": "DfT England \u00a33.4bn (BUS05aii) \u00d7 1.18 UK uplift", "url": "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025" }, "total_bus_subsidy_bn": { - "ours": 3.58, + "ours": 3.66, "official": 3.55, - "kind": "Calibration target", + "kind": "Benchmark", "official_label": "DfT England \u00a33.0bn (BUS05bii) \u00d7 1.18 UK uplift", "url": "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025" }, "population_m": { - "ours": 70.2, + "ours": 69.9, "official": 68.3, "kind": "Independent check", "official_label": "ONS UK mid-2023 population 68.3m", @@ -385,14 +395,14 @@ "end_date": "2027-12-31", "geography": "England outside London", "participating_services_only": true, - "people_potentially_affected_m": 14.34, + "people_potentially_affected_m": 37.99, "announced_cap_funding_bn": 0.4, "announced_total_extra_funding_bn": 0.454, "reported_scheme_cost_lower_bound_bn": 0.5, "official_total_scheme_cost_published": false, - "estimated_cost_bn": 0.273, - "estimated_cost_low_bn": 0.218, - "estimated_cost_high_bn": 0.327, + "estimated_cost_bn": 0.354, + "estimated_cost_low_bn": 0.283, + "estimated_cost_high_bn": 0.425, "fare_reduction": 0.125, "fare_reduction_low": 0.1, "fare_reduction_high": 0.15, @@ -402,739 +412,691 @@ "counterfactual": "\u00a33 cap for 3 months, no cap for 9 months", "blended_reduction": 0.1872, "cap_existence_reduction": 0.083, - "estimated_cost_bn": 0.409, - "estimated_cost_low_bn": 0.354, - "estimated_cost_high_bn": 0.463, + "estimated_cost_bn": 0.531, + "estimated_cost_low_bn": 0.46, + "estimated_cost_high_bn": 0.602, "effect_breakdowns": { "region": [ { - "group": "South East", - "cost_bn": 0.096 + "group": "North West", + "cost_bn": 0.095 }, { - "group": "Yorkshire", - "cost_bn": 0.063 + "group": "South East", + "cost_bn": 0.096 }, { - "group": "North West", - "cost_bn": 0.062 + "group": "West Midlands", + "cost_bn": 0.088 }, { - "group": "West Midlands", - "cost_bn": 0.046 + "group": "Yorkshire", + "cost_bn": 0.068 }, { - "group": "North East", - "cost_bn": 0.04 + "group": "South West", + "cost_bn": 0.054 }, { "group": "East Midlands", - "cost_bn": 0.037 + "cost_bn": 0.045 }, { - "group": "South West", - "cost_bn": 0.037 + "group": "East of England", + "cost_bn": 0.045 }, { - "group": "East of England", - "cost_bn": 0.028 + "group": "North East", + "cost_bn": 0.04 } ], "household_type": [ { - "group": "Single", - "cost_bn": 0.163 + "group": "Couple With Children", + "cost_bn": 0.185 }, { - "group": "Couple No Children", - "cost_bn": 0.157 + "group": "Single", + "cost_bn": 0.165 }, { - "group": "Couple With Children", - "cost_bn": 0.081 + "group": "Couple No Children", + "cost_bn": 0.095 }, { "group": "Lone Parent", - "cost_bn": 0.008 + "cost_bn": 0.086 } ], "age_band": [ - { - "group": "0-4", - "cost_bn": 0.007 - }, { "group": "5-9", - "cost_bn": 0.009 + "cost_bn": 0.032 }, { "group": "10-14", - "cost_bn": 0.005 + "cost_bn": 0.061 }, { "group": "15-19", - "cost_bn": 0.02 + "cost_bn": 0.084 }, { "group": "20-24", - "cost_bn": 0.048 + "cost_bn": 0.053 }, { "group": "25-29", - "cost_bn": 0.031 + "cost_bn": 0.042 }, { "group": "30-34", - "cost_bn": 0.032 + "cost_bn": 0.041 }, { "group": "35-39", - "cost_bn": 0.025 + "cost_bn": 0.044 }, { "group": "40-44", - "cost_bn": 0.029 + "cost_bn": 0.034 }, { "group": "45-49", - "cost_bn": 0.018 + "cost_bn": 0.029 }, { "group": "50-54", - "cost_bn": 0.03 + "cost_bn": 0.029 }, { "group": "55-59", - "cost_bn": 0.021 + "cost_bn": 0.032 }, { "group": "60-64", - "cost_bn": 0.02 + "cost_bn": 0.043 }, { "group": "65-69", - "cost_bn": 0.037 - }, - { - "group": "70-74", - "cost_bn": 0.038 - }, - { - "group": "75-79", - "cost_bn": 0.017 - }, - { - "group": "80+", - "cost_bn": 0.022 + "cost_bn": 0.007 } ], "income_quintile": [ { "group": "Q1", - "cost_bn": 0.125 + "cost_bn": 0.144 }, { "group": "Q2", - "cost_bn": 0.122 + "cost_bn": 0.106 }, { "group": "Q3", - "cost_bn": 0.092 + "cost_bn": 0.097 }, { "group": "Q4", - "cost_bn": 0.053 + "cost_bn": 0.098 }, { "group": "Q5", - "cost_bn": 0.017 + "cost_bn": 0.086 } ] }, "average_effect_breakdowns": { "region": [ { - "group": "North East", - "annual_effect_gbp": 30.29 + "group": "West Midlands", + "annual_effect_gbp": 34.54 }, { - "group": "Yorkshire", - "annual_effect_gbp": 24.37 + "group": "North East", + "annual_effect_gbp": 33.14 }, { - "group": "South East", - "annual_effect_gbp": 22.22 + "group": "North West", + "annual_effect_gbp": 29.06 }, { - "group": "North West", - "annual_effect_gbp": 17.56 + "group": "Yorkshire", + "annual_effect_gbp": 28.43 }, { - "group": "West Midlands", - "annual_effect_gbp": 16.88 + "group": "South East", + "annual_effect_gbp": 24.19 }, { "group": "East Midlands", - "annual_effect_gbp": 16.24 + "annual_effect_gbp": 21.03 }, { "group": "South West", - "annual_effect_gbp": 13.3 + "annual_effect_gbp": 21.0 }, { "group": "East of England", - "annual_effect_gbp": 9.59 + "annual_effect_gbp": 16.58 } ], "household_type": [ { - "group": "Single", - "annual_effect_gbp": 19.85 + "group": "Lone Parent", + "annual_effect_gbp": 66.62 }, { - "group": "Couple No Children", - "annual_effect_gbp": 19.29 + "group": "Couple With Children", + "annual_effect_gbp": 47.02 }, { - "group": "Couple With Children", - "annual_effect_gbp": 19.07 + "group": "Couple No Children", + "annual_effect_gbp": 16.84 }, { - "group": "Lone Parent", - "annual_effect_gbp": 3.33 + "group": "Single", + "annual_effect_gbp": 14.49 } ], "age_band": [ { "group": "0-4", - "annual_effect_gbp": 2.52 + "annual_effect_gbp": 0.0 }, { "group": "5-9", - "annual_effect_gbp": 2.83 + "annual_effect_gbp": 11.19 }, { "group": "10-14", - "annual_effect_gbp": 1.83 + "annual_effect_gbp": 19.76 }, { "group": "15-19", - "annual_effect_gbp": 6.89 + "annual_effect_gbp": 28.12 }, { "group": "20-24", - "annual_effect_gbp": 16.66 + "annual_effect_gbp": 17.99 }, { "group": "25-29", - "annual_effect_gbp": 9.6 + "annual_effect_gbp": 14.44 }, { "group": "30-34", - "annual_effect_gbp": 9.39 + "annual_effect_gbp": 12.31 }, { "group": "35-39", - "annual_effect_gbp": 8.0 + "annual_effect_gbp": 13.15 }, { "group": "40-44", - "annual_effect_gbp": 9.09 + "annual_effect_gbp": 10.68 }, { "group": "45-49", - "annual_effect_gbp": 6.02 + "annual_effect_gbp": 9.59 }, { "group": "50-54", - "annual_effect_gbp": 9.39 + "annual_effect_gbp": 9.35 }, { "group": "55-59", - "annual_effect_gbp": 5.95 + "annual_effect_gbp": 9.36 }, { "group": "60-64", - "annual_effect_gbp": 6.32 + "annual_effect_gbp": 13.39 }, { "group": "65-69", - "annual_effect_gbp": 15.76 + "annual_effect_gbp": 2.49 }, { "group": "70-74", - "annual_effect_gbp": 15.37 + "annual_effect_gbp": 0.0 }, { "group": "75-79", - "annual_effect_gbp": 8.15 + "annual_effect_gbp": 0.0 }, { "group": "80+", - "annual_effect_gbp": 7.91 + "annual_effect_gbp": 0.0 } ], "income_quintile": [ { "group": "Q1", - "annual_effect_gbp": 24.67 + "annual_effect_gbp": 31.26 }, { "group": "Q2", - "annual_effect_gbp": 25.69 + "annual_effect_gbp": 25.36 }, { "group": "Q3", - "annual_effect_gbp": 19.94 + "annual_effect_gbp": 24.37 }, { "group": "Q4", - "annual_effect_gbp": 12.25 + "annual_effect_gbp": 24.4 }, { "group": "Q5", - "annual_effect_gbp": 4.63 + "annual_effect_gbp": 21.3 } ] }, - "household_effect_average_gbp": 18.2 + "household_effect_average_gbp": 25.51 }, - "baseline_fare_spending_bn": 2.182, + "baseline_fare_spending_bn": 2.834, "breakdowns": { "region": [ { - "group": "South East", - "cost_bn": 0.063 + "group": "North West", + "cost_bn": 0.064 }, { - "group": "Yorkshire", - "cost_bn": 0.042 + "group": "South East", + "cost_bn": 0.064 }, { - "group": "North West", - "cost_bn": 0.041 + "group": "West Midlands", + "cost_bn": 0.059 }, { - "group": "West Midlands", - "cost_bn": 0.031 + "group": "Yorkshire", + "cost_bn": 0.045 }, { - "group": "North East", - "cost_bn": 0.027 + "group": "South West", + "cost_bn": 0.036 }, { "group": "East Midlands", - "cost_bn": 0.025 + "cost_bn": 0.03 }, { - "group": "South West", - "cost_bn": 0.025 + "group": "East of England", + "cost_bn": 0.03 }, { - "group": "East of England", - "cost_bn": 0.019 + "group": "North East", + "cost_bn": 0.026 } ], "household_type": [ { - "group": "Single", - "cost_bn": 0.109 + "group": "Couple With Children", + "cost_bn": 0.123 }, { - "group": "Couple No Children", - "cost_bn": 0.105 + "group": "Single", + "cost_bn": 0.11 }, { - "group": "Couple With Children", - "cost_bn": 0.054 + "group": "Couple No Children", + "cost_bn": 0.064 }, { "group": "Lone Parent", - "cost_bn": 0.005 + "cost_bn": 0.057 } ], "age_band": [ - { - "group": "0-4", - "cost_bn": 0.004 - }, { "group": "5-9", - "cost_bn": 0.006 + "cost_bn": 0.021 }, { "group": "10-14", - "cost_bn": 0.004 + "cost_bn": 0.041 }, { "group": "15-19", - "cost_bn": 0.013 + "cost_bn": 0.056 }, { "group": "20-24", - "cost_bn": 0.032 + "cost_bn": 0.036 }, { "group": "25-29", - "cost_bn": 0.021 + "cost_bn": 0.028 }, { "group": "30-34", - "cost_bn": 0.021 + "cost_bn": 0.027 }, { "group": "35-39", - "cost_bn": 0.017 + "cost_bn": 0.03 }, { "group": "40-44", - "cost_bn": 0.019 + "cost_bn": 0.023 }, { "group": "45-49", - "cost_bn": 0.012 + "cost_bn": 0.019 }, { "group": "50-54", - "cost_bn": 0.02 + "cost_bn": 0.019 }, { "group": "55-59", - "cost_bn": 0.014 + "cost_bn": 0.021 }, { "group": "60-64", - "cost_bn": 0.013 + "cost_bn": 0.029 }, { "group": "65-69", - "cost_bn": 0.025 - }, - { - "group": "70-74", - "cost_bn": 0.025 - }, - { - "group": "75-79", - "cost_bn": 0.012 - }, - { - "group": "80+", - "cost_bn": 0.015 + "cost_bn": 0.004 } ], "income_quintile": [ { "group": "Q1", - "cost_bn": 0.084 + "cost_bn": 0.096 }, { "group": "Q2", - "cost_bn": 0.082 + "cost_bn": 0.071 }, { "group": "Q3", - "cost_bn": 0.061 + "cost_bn": 0.065 }, { "group": "Q4", - "cost_bn": 0.035 + "cost_bn": 0.065 }, { "group": "Q5", - "cost_bn": 0.011 + "cost_bn": 0.057 } ] }, "effect_breakdowns": { "region": [ { - "group": "South East", - "cost_bn": 0.063 + "group": "North West", + "cost_bn": 0.064 }, { - "group": "Yorkshire", - "cost_bn": 0.042 + "group": "South East", + "cost_bn": 0.064 }, { - "group": "North West", - "cost_bn": 0.041 + "group": "West Midlands", + "cost_bn": 0.059 }, { - "group": "West Midlands", - "cost_bn": 0.031 + "group": "Yorkshire", + "cost_bn": 0.045 }, { - "group": "North East", - "cost_bn": 0.027 + "group": "South West", + "cost_bn": 0.036 }, { "group": "East Midlands", - "cost_bn": 0.025 + "cost_bn": 0.03 }, { - "group": "South West", - "cost_bn": 0.025 + "group": "East of England", + "cost_bn": 0.03 }, { - "group": "East of England", - "cost_bn": 0.019 + "group": "North East", + "cost_bn": 0.026 } ], "household_type": [ { - "group": "Single", - "cost_bn": 0.109 + "group": "Couple With Children", + "cost_bn": 0.123 }, { - "group": "Couple No Children", - "cost_bn": 0.105 + "group": "Single", + "cost_bn": 0.11 }, { - "group": "Couple With Children", - "cost_bn": 0.054 + "group": "Couple No Children", + "cost_bn": 0.064 }, { "group": "Lone Parent", - "cost_bn": 0.005 + "cost_bn": 0.057 } ], "age_band": [ - { - "group": "0-4", - "cost_bn": 0.004 - }, { "group": "5-9", - "cost_bn": 0.006 + "cost_bn": 0.021 }, { "group": "10-14", - "cost_bn": 0.004 + "cost_bn": 0.041 }, { "group": "15-19", - "cost_bn": 0.013 + "cost_bn": 0.056 }, { "group": "20-24", - "cost_bn": 0.032 + "cost_bn": 0.036 }, { "group": "25-29", - "cost_bn": 0.021 + "cost_bn": 0.028 }, { "group": "30-34", - "cost_bn": 0.021 + "cost_bn": 0.027 }, { "group": "35-39", - "cost_bn": 0.017 + "cost_bn": 0.03 }, { "group": "40-44", - "cost_bn": 0.019 + "cost_bn": 0.023 }, { "group": "45-49", - "cost_bn": 0.012 + "cost_bn": 0.019 }, { "group": "50-54", - "cost_bn": 0.02 + "cost_bn": 0.019 }, { "group": "55-59", - "cost_bn": 0.014 + "cost_bn": 0.021 }, { "group": "60-64", - "cost_bn": 0.013 + "cost_bn": 0.029 }, { "group": "65-69", - "cost_bn": 0.025 - }, - { - "group": "70-74", - "cost_bn": 0.025 - }, - { - "group": "75-79", - "cost_bn": 0.012 - }, - { - "group": "80+", - "cost_bn": 0.015 + "cost_bn": 0.004 } ], "income_quintile": [ { "group": "Q1", - "cost_bn": 0.084 + "cost_bn": 0.096 }, { "group": "Q2", - "cost_bn": 0.082 + "cost_bn": 0.071 }, { "group": "Q3", - "cost_bn": 0.061 + "cost_bn": 0.065 }, { "group": "Q4", - "cost_bn": 0.035 + "cost_bn": 0.065 }, { "group": "Q5", - "cost_bn": 0.011 + "cost_bn": 0.057 } ] }, "average_effect_breakdowns": { "region": [ { - "group": "North East", - "annual_effect_gbp": 20.22 + "group": "West Midlands", + "annual_effect_gbp": 23.06 }, { - "group": "Yorkshire", - "annual_effect_gbp": 16.27 + "group": "North East", + "annual_effect_gbp": 22.12 }, { - "group": "South East", - "annual_effect_gbp": 14.83 + "group": "North West", + "annual_effect_gbp": 19.4 }, { - "group": "North West", - "annual_effect_gbp": 11.72 + "group": "Yorkshire", + "annual_effect_gbp": 18.98 }, { - "group": "West Midlands", - "annual_effect_gbp": 11.27 + "group": "South East", + "annual_effect_gbp": 16.15 }, { "group": "East Midlands", - "annual_effect_gbp": 10.84 + "annual_effect_gbp": 14.04 }, { "group": "South West", - "annual_effect_gbp": 8.88 + "annual_effect_gbp": 14.02 }, { "group": "East of England", - "annual_effect_gbp": 6.4 + "annual_effect_gbp": 11.07 } ], "household_type": [ { - "group": "Single", - "annual_effect_gbp": 13.25 + "group": "Lone Parent", + "annual_effect_gbp": 44.47 }, { - "group": "Couple No Children", - "annual_effect_gbp": 12.88 + "group": "Couple With Children", + "annual_effect_gbp": 31.39 }, { - "group": "Couple With Children", - "annual_effect_gbp": 12.73 + "group": "Couple No Children", + "annual_effect_gbp": 11.24 }, { - "group": "Lone Parent", - "annual_effect_gbp": 2.22 + "group": "Single", + "annual_effect_gbp": 9.67 } ], "age_band": [ { "group": "0-4", - "annual_effect_gbp": 1.68 + "annual_effect_gbp": 0.0 }, { "group": "5-9", - "annual_effect_gbp": 1.89 + "annual_effect_gbp": 7.47 }, { "group": "10-14", - "annual_effect_gbp": 1.22 + "annual_effect_gbp": 13.19 }, { "group": "15-19", - "annual_effect_gbp": 4.6 + "annual_effect_gbp": 18.77 }, { "group": "20-24", - "annual_effect_gbp": 11.12 + "annual_effect_gbp": 12.01 }, { "group": "25-29", - "annual_effect_gbp": 6.41 + "annual_effect_gbp": 9.64 }, { "group": "30-34", - "annual_effect_gbp": 6.27 + "annual_effect_gbp": 8.22 }, { "group": "35-39", - "annual_effect_gbp": 5.34 + "annual_effect_gbp": 8.78 }, { "group": "40-44", - "annual_effect_gbp": 6.07 + "annual_effect_gbp": 7.13 }, { "group": "45-49", - "annual_effect_gbp": 4.02 + "annual_effect_gbp": 6.4 }, { "group": "50-54", - "annual_effect_gbp": 6.27 + "annual_effect_gbp": 6.24 }, { "group": "55-59", - "annual_effect_gbp": 3.97 + "annual_effect_gbp": 6.25 }, { "group": "60-64", - "annual_effect_gbp": 4.22 + "annual_effect_gbp": 8.94 }, { "group": "65-69", - "annual_effect_gbp": 10.52 + "annual_effect_gbp": 1.66 }, { "group": "70-74", - "annual_effect_gbp": 10.26 + "annual_effect_gbp": 0.0 }, { "group": "75-79", - "annual_effect_gbp": 5.44 + "annual_effect_gbp": 0.0 }, { "group": "80+", - "annual_effect_gbp": 5.28 + "annual_effect_gbp": 0.0 } ], "income_quintile": [ { "group": "Q1", - "annual_effect_gbp": 16.47 + "annual_effect_gbp": 20.87 }, { "group": "Q2", - "annual_effect_gbp": 17.15 + "annual_effect_gbp": 16.93 }, { "group": "Q3", - "annual_effect_gbp": 13.31 + "annual_effect_gbp": 16.27 }, { "group": "Q4", - "annual_effect_gbp": 8.18 + "annual_effect_gbp": 16.29 }, { "group": "Q5", - "annual_effect_gbp": 3.09 + "annual_effect_gbp": 14.22 } ] }, @@ -1142,43 +1104,43 @@ "ticket_level_savings_estimated": false, "household_effect": { "population": "All households in England outside London", - "annual_effect_average_gbp": 12.15, + "annual_effect_average_gbp": 17.03, "by_region": [ { - "region": "North East", - "annual_effect_gbp": 20.22 + "region": "West Midlands", + "annual_effect_gbp": 23.06 }, { - "region": "Yorkshire", - "annual_effect_gbp": 16.27 + "region": "North East", + "annual_effect_gbp": 22.12 }, { - "region": "South East", - "annual_effect_gbp": 14.83 + "region": "North West", + "annual_effect_gbp": 19.4 }, { - "region": "North West", - "annual_effect_gbp": 11.72 + "region": "Yorkshire", + "annual_effect_gbp": 18.98 }, { - "region": "West Midlands", - "annual_effect_gbp": 11.27 + "region": "South East", + "annual_effect_gbp": 16.15 }, { "region": "East Midlands", - "annual_effect_gbp": 10.84 + "annual_effect_gbp": 14.04 }, { "region": "South West", - "annual_effect_gbp": 8.88 + "annual_effect_gbp": 14.02 }, { "region": "East of England", - "annual_effect_gbp": 6.4 + "annual_effect_gbp": 11.07 } ], - "allocation_base_bn": 0.273, - "method": "12.5% derived all-ticket reduction applied to simulated fare spending (distributionally calibrated upstream in policyengine-uk-data)" + "allocation_base_bn": 0.354, + "method": "12.5% derived all-ticket reduction applied to simulated fare spending (imputed journeys priced at DfT yields per boarding in policyengine-uk)" } } } diff --git a/dashboard/src/components/BaselineTab.jsx b/dashboard/src/components/BaselineTab.jsx index acb0a09..12e3bcd 100644 --- a/dashboard/src/components/BaselineTab.jsx +++ b/dashboard/src/components/BaselineTab.jsx @@ -12,7 +12,7 @@ function Stat({ label, value, sub, compare, compareFmt }) { {sub ?
{sub}
: null} {compare ? (
-{compare.kind === "Independent check" ? "independent check" : "2025 calibration anchor"}: {compareFmt(compare.official)} —{" "} +{compare.kind === "Independent check" ? "independent check" : "2024-25 benchmark"}: {compareFmt(compare.official)} —{" "} {compare.official_label.split(":")[0]} @@ -32,16 +32,16 @@ export default function BaselineTab({ data }) {
diff --git a/dashboard/src/components/MethodologyTab.jsx b/dashboard/src/components/MethodologyTab.jsx index 41d6df9..3d32592 100644 --- a/dashboard/src/components/MethodologyTab.jsx +++ b/dashboard/src/components/MethodologyTab.jsx @@ -4,7 +4,6 @@ import SectionHeading from "./SectionHeading"; export default function MethodologyTab({ data }) { const src = data.sources || {}; - const weights = data.assumptions?.age_allocation_weights || {}; const L = (s, text) => s ? ( {text} @@ -40,20 +39,14 @@ export default function MethodologyTab({ data }) {

2 · Household microsimulation

- Household bus & coach spending is imputed from the Living Costs and Food Survey in the - PolicyEngine UK Enhanced FRS, calibrated to{" "} - {L(src.dft_fare, "DfT's England-wide fare-receipts total")} and - uprated by PolicyEngine to {data.projection_year_label}. The model splits each - household's fare across its members with a{" "} - {L(src.nts_age_profile, "National Travel Survey bus-trips-by-age")} profile adjusted for - concessionary ages, so pension-age passengers — who travel free — carry almost no fare - weight. These weights are the model's own parameter, not an assumption made here. + Fare spending comes from the {data.dataset || "PolicyEngine Microcosm UK dataset"}, run + through policyengine-uk's bus fare model. Each person's imputed local-bus trips + are priced at DfT passenger receipts per fare-paying boarding for their area, with single + tickets priced at the fare cap in force. People eligible for a concessionary bus pass pay + no fares, so pension-age passengers carry no fare spending. Fares are compared with{" "} + {L(src.dft_fare, "DfT's England-wide fare-receipts total")} as a benchmark, not + calibrated to it here.

-
- {Object.entries(weights).map(([band, w]) => ( - {band}: {w} - ))} -

3 · Costing the £2 cap

@@ -64,10 +57,10 @@ export default function MethodologyTab({ data }) { {L(src.derived_fare_reduction, "derived")} from Table 6 of{" "} {L(src.dft_two_pound_cap_evaluation, "DfT's evaluation of the previous £2 cap")}: singles at the £3 cap save £1 (33%), those between £2 and £3 save less (~27% single-yield - reduction), weighted by a cap-era single trip share of 0.35–0.50. Fares arrive already - calibrated in the dataset build to{" "} - {L(src.dft_regional_fare_split, "DfT's London/outside-London receipts split")} and{" "} - {L(src.dft_income_quintile_trips, "NTS trip rates by income quintile")}. Region, family-type and quintile averages + reduction), weighted by a cap-era single trip share of 0.35–0.50. The base holds the £3 cap + in force all year; current law in policyengine-uk already applies the £2 cap from January + 2027, so the pipeline overrides that cap to £3 before measuring spending. Region, + family-type and quintile averages divide each group's saving by all its households, including non-bus users; age-band averages are per person in the policy geography. The government's funding figures are not inputs. Treating passenger savings as fiscal cost assumes pound-for-pound operator @@ -105,8 +98,13 @@ export default function MethodologyTab({ data }) {

6 · Interpretation

The policy runs 1 January–31 December 2027, so results are calendar-2027, not fiscal-year. - Family type is the benefit unit. Income quintiles fold household income deciles. People in - fare-spending households are an exposure proxy, not confirmed beneficiaries. + Family type is the benefit unit. Income quintiles fold household income deciles. People + with modelled fare spending are an exposure proxy, not confirmed beneficiaries. +

+

+ Results were produced with policyengine {data.policyengine_version} (policyengine-uk{" "} + {data.policyengine_uk_version}) on the certified {data.dataset_name} dataset, build{" "} + {data.dataset_revision}.

diff --git a/dashboard/src/components/ReformTab.jsx b/dashboard/src/components/ReformTab.jsx index 51eaa53..e1cec5e 100644 --- a/dashboard/src/components/ReformTab.jsx +++ b/dashboard/src/components/ReformTab.jsx @@ -52,7 +52,7 @@ export default function ReformTab({ data }) {
@@ -80,10 +80,9 @@ export default function ReformTab({ data }) { title="Who has bus-fare exposure in the policy geography?" description={ <> - PolicyEngine estimates household bus and coach fare spending in English regions outside - London, calibrated in the PolicyEngine UK dataset build to{" "} - {A(src.dft_regional_fare_split, "DfT's London/outside-London fare-receipts split")} and{" "} - {A(src.dft_income_quintile_trips, "NTS local-bus trip rates by income quintile")}. + PolicyEngine estimates bus fare spending in English regions outside London by pricing + each person's imputed local-bus trips at DfT receipts per fare-paying boarding, + with the £3 cap in force all year. We apply a 12.5% all-ticket reduction (range 10–15%){" "} {A(src.derived_fare_reduction, "derived")} from{" "} {A(src.dft_two_pound_cap_evaluation, "DfT's evaluation of the previous £2 cap")}. The diff --git a/data/bus_fare_cap_results.json b/data/bus_fare_cap_results.json index 3d09799..19557cb 100644 --- a/data/bus_fare_cap_results.json +++ b/data/bus_fare_cap_results.json @@ -3,10 +3,20 @@ "projection_year_label": "2027", "policy_period_label": "1 January\u201331 December 2027", "currency": "GBP", - "dataset": "PolicyEngine UK Enhanced FRS (enhanced_frs_2024_25)", - "dataset_source": "enhanced-frs", - "simulation_stack": "policyengine-uk (direct)", - "policyengine_uk_version": "2.89.3", + "dataset": "PolicyEngine Microcosm UK (microcosm_uk_2024_25)", + "dataset_source": "microcosm-uk", + "simulation_stack": "policyengine.py (managed_microsimulation)", + "counterfactual_reform": { + "gov.dft.bus.fares.cap": { + "2027-01-01.2028-12-31": 3 + } + }, + "policyengine_version": "6.10.2", + "policyengine_uk_version": "2.132.6", + "policyengine_bundle_id": "uk-6.10.2", + "dataset_name": "microcosm_uk_2024_25", + "dataset_revision": "microcosm-uk-2024-25-national-20261019T083323Z-6cba5d71", + "dataset_sha256": "810ba980005a8b907cb51464279fa5e0125464b7af9a4871b7f6744c30951ece", "reform_definition": { "baseline_fare_cap_gbp": 3, "reform_fare_cap_gbp": 2, @@ -32,24 +42,24 @@ "cap_existence_reduction": 0.083, "months_vs_three_pound_cap": 3, "months_vs_no_cap": 9, - "distributional_calibration": "Upstream in policyengine-uk-data: BUS05ai regional split and NTS0705a income-quintile anchoring", - "incidence_method": "Derived all-ticket reduction applied to household fare spending, distributionally calibrated upstream in policyengine-uk-data", + "fare_spending_method": "policyengine-uk prices each person's imputed local-bus trips in Microcosm UK at DfT receipts per fare-paying boarding; concessionary pass holders pay nothing", + "incidence_method": "Derived all-ticket reduction applied to simulated person-level fare spending under a \u00a33 cap held all year", "behavioural": "static (no induced demand)" }, "sources": { "dft_fare": { "value": "\u00a33.4bn (England)", - "description": "DfT Annual Bus Statistics, year ending March 2025, table BUS05aii: passenger fare receipts on local bus services (England), ~52% of \u00a36.6bn operating revenue. Calibration target for bus_fare_spending, uplifted England->UK by population.", + "description": "DfT Annual Bus Statistics, year ending March 2025, table BUS05aii: passenger fare receipts on local bus services (England), ~52% of \u00a36.6bn operating revenue. Benchmark for bus_fare_spending, uplifted England->UK by population.", "url": "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025" }, "dft_subsidy": { "value": "\u00a33.0bn (England)", - "description": "DfT Annual Bus Statistics, year ending March 2025, table BUS05bii: total net government support for local bus services (England), of which \u00a30.8bn concessionary travel reimbursement. Calibration target for bus_subsidy_spending, uplifted England->UK by population.", + "description": "DfT Annual Bus Statistics, year ending March 2025, table BUS05bii: total net government support for local bus services (England), of which \u00a30.8bn concessionary travel reimbursement. Benchmark for bus_subsidy_spending, uplifted England->UK by population.", "url": "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025" }, "dft_income_quintile_trips": { "value": "Local bus trips/person/year, 2024: Q1 47.6 \u2026 Q5 13.0", - "description": "National Travel Survey table NTS0705a, 2024, 'Other local bus' (outside London): average trips per person per year by household income quintile \u2014 Q1 47.6, Q2 37.5, Q3 24.8, Q4 18.5, Q5 13.0. Anchors the income distribution of household fare spending in the policyengine-uk-data build (assuming a common average fare per trip across quintiles).", + "description": "National Travel Survey table NTS0705a, 2024, 'Other local bus' (outside London): average trips per person per year by household income quintile \u2014 Q1 47.6, Q2 37.5, Q3 24.8, Q4 18.5, Q5 13.0. Reference for the income gradient of bus use; not a calibration input in this pipeline.", "url": "https://www.gov.uk/government/statistical-data-sets/nts07-car-ownership-and-access" }, "ons_population": { @@ -59,7 +69,7 @@ }, "nts_age_profile": { "value": "Bus trips by age; 17-20 peak", - "description": "National Travel Survey 2023 bus trips by age (concessionary-adjusted), used to allocate household bus fares to individuals.", + "description": "National Travel Survey 2023 bus trips by age (concessionary-adjusted). policyengine-uk uses this profile only to allocate reported household spending when journey data is absent; Microcosm UK supplies journeys.", "url": "https://www.gov.uk/government/statistics/national-travel-survey-2023/nts-2023-trips-by-purpose-age-mode-and-sex" }, "current_fare_cap_policy": { @@ -84,7 +94,7 @@ }, "dft_regional_fare_split": { "value": "England \u00a33,417m: London \u00a31,347m / outside London \u00a32,070m", - "description": "DfT Annual Bus Statistics table BUS05ai, year ending March 2025: passenger fare receipts by area. The within-England regional fare split is calibrated to this London/outside-London split in the policyengine-uk-data build, since the LCFS imputation under-captures London fares.", + "description": "DfT Annual Bus Statistics table BUS05ai, year ending March 2025: passenger fare receipts by area. Benchmark for the London/outside-London split of simulated fares.", "url": "https://www.gov.uk/government/statistical-data-sets/bus-statistics-data-tables" }, "three_pound_cap_2025_cost": { @@ -104,271 +114,271 @@ } }, "baseline": { - "total_bus_fare_bn": 4.231, - "total_bus_subsidy_bn": 3.578, - "population_m": 70.23, - "fare_paying_people_m": 19.36, + "total_bus_fare_bn": 4.886, + "total_bus_subsidy_bn": 3.664, + "population_m": 69.95, + "fare_paying_people_m": 48.53, "by_age_band": [ { "band": "0-15", - "fare_bn": 0.258, - "share": 0.061, - "people_m": 13.2 + "fare_bn": 0.602, + "share": 0.123, + "people_m": 12.42 }, { "band": "16-24", - "fare_bn": 0.703, - "share": 0.166, - "people_m": 7.23 + "fare_bn": 1.062, + "share": 0.217, + "people_m": 7.5 }, { "band": "25-44", - "fare_bn": 1.342, - "share": 0.317, - "people_m": 18.73 + "fare_bn": 1.884, + "share": 0.386, + "people_m": 18.81 }, { "band": "45-64", - "fare_bn": 1.056, - "share": 0.25, - "people_m": 17.73 + "fare_bn": 1.283, + "share": 0.263, + "people_m": 17.67 }, { "band": "65+", - "fare_bn": 0.871, - "share": 0.206, - "people_m": 13.33 + "fare_bn": 0.055, + "share": 0.011, + "people_m": 13.54 } ], "by_region": [ { "region": "London", - "fare_bn": 1.42 + "fare_bn": 1.358 }, { "region": "South East", - "fare_bn": 0.509 - }, - { - "region": "Yorkshire", - "fare_bn": 0.338 + "fare_bn": 0.513 }, { "region": "North West", - "fare_bn": 0.33 + "fare_bn": 0.51 }, { - "region": "Scotland", - "fare_bn": 0.301 + "region": "West Midlands", + "fare_bn": 0.468 }, { - "region": "Wales", - "fare_bn": 0.253 + "region": "Scotland", + "fare_bn": 0.398 }, { - "region": "West Midlands", - "fare_bn": 0.244 + "region": "Yorkshire", + "fare_bn": 0.361 }, { - "region": "North East", - "fare_bn": 0.214 + "region": "South West", + "fare_bn": 0.29 }, { "region": "East Midlands", - "fare_bn": 0.2 + "fare_bn": 0.241 }, { - "region": "South West", - "fare_bn": 0.197 + "region": "East of England", + "fare_bn": 0.24 }, { - "region": "East of England", - "fare_bn": 0.151 + "region": "North East", + "fare_bn": 0.211 }, { "region": "Northern Ireland", - "fare_bn": 0.075 + "fare_bn": 0.156 + }, + { + "region": "Wales", + "fare_bn": 0.14 } ], "breakdowns": { "region": [ { "group": "London", - "cost_bn": 1.42 + "cost_bn": 1.358 }, { "group": "South East", - "cost_bn": 0.509 - }, - { - "group": "Yorkshire", - "cost_bn": 0.338 + "cost_bn": 0.513 }, { "group": "North West", - "cost_bn": 0.33 + "cost_bn": 0.51 }, { - "group": "Scotland", - "cost_bn": 0.301 + "group": "West Midlands", + "cost_bn": 0.468 }, { - "group": "Wales", - "cost_bn": 0.253 + "group": "Scotland", + "cost_bn": 0.398 }, { - "group": "West Midlands", - "cost_bn": 0.244 + "group": "Yorkshire", + "cost_bn": 0.361 }, { - "group": "North East", - "cost_bn": 0.214 + "group": "South West", + "cost_bn": 0.29 }, { "group": "East Midlands", - "cost_bn": 0.2 + "cost_bn": 0.241 }, { - "group": "South West", - "cost_bn": 0.197 + "group": "East of England", + "cost_bn": 0.24 }, { - "group": "East of England", - "cost_bn": 0.151 + "group": "North East", + "cost_bn": 0.211 }, { "group": "Northern Ireland", - "cost_bn": 0.075 + "cost_bn": 0.156 + }, + { + "group": "Wales", + "cost_bn": 0.14 } ], "household_type": [ { "group": "Single", - "cost_bn": 1.67 + "cost_bn": 1.72 }, { - "group": "Couple No Children", - "cost_bn": 1.6 + "group": "Couple With Children", + "cost_bn": 1.551 }, { - "group": "Couple With Children", - "cost_bn": 0.864 + "group": "Couple No Children", + "cost_bn": 0.935 }, { "group": "Lone Parent", - "cost_bn": 0.097 + "cost_bn": 0.681 } ], "age_band": [ { "group": "0-4", - "cost_bn": 0.071 + "cost_bn": 0.004 }, { "group": "5-9", - "cost_bn": 0.104 + "cost_bn": 0.182 }, { "group": "10-14", - "cost_bn": 0.067 + "cost_bn": 0.348 }, { "group": "15-19", - "cost_bn": 0.191 + "cost_bn": 0.606 }, { "group": "20-24", - "cost_bn": 0.529 + "cost_bn": 0.524 }, { "group": "25-29", - "cost_bn": 0.406 + "cost_bn": 0.505 }, { "group": "30-34", - "cost_bn": 0.283 + "cost_bn": 0.458 }, { "group": "35-39", - "cost_bn": 0.406 + "cost_bn": 0.499 }, { "group": "40-44", - "cost_bn": 0.247 + "cost_bn": 0.421 }, { "group": "45-49", - "cost_bn": 0.207 + "cost_bn": 0.364 }, { "group": "50-54", - "cost_bn": 0.337 + "cost_bn": 0.361 }, { "group": "55-59", - "cost_bn": 0.301 + "cost_bn": 0.319 }, { "group": "60-64", - "cost_bn": 0.212 + "cost_bn": 0.239 }, { "group": "65-69", - "cost_bn": 0.274 + "cost_bn": 0.042 }, { "group": "70-74", - "cost_bn": 0.228 + "cost_bn": 0.006 }, { "group": "75-79", - "cost_bn": 0.119 + "cost_bn": 0.004 }, { "group": "80+", - "cost_bn": 0.25 + "cost_bn": 0.004 } ], "income_quintile": [ { "group": "Q1", - "cost_bn": 1.36 + "cost_bn": 1.204 }, { "group": "Q2", - "cost_bn": 1.036 + "cost_bn": 0.893 }, { "group": "Q3", - "cost_bn": 0.733 + "cost_bn": 0.979 }, { "group": "Q4", - "cost_bn": 0.634 + "cost_bn": 0.87 }, { "group": "Q5", - "cost_bn": 0.445 + "cost_bn": 0.939 } ] }, "official_comparison": { "total_bus_fare_bn": { - "ours": 4.23, + "ours": 4.89, "official": 4.02, - "kind": "Calibration target", + "kind": "Benchmark", "official_label": "DfT England \u00a33.4bn (BUS05aii) \u00d7 1.18 UK uplift", "url": "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025" }, "total_bus_subsidy_bn": { - "ours": 3.58, + "ours": 3.66, "official": 3.55, - "kind": "Calibration target", + "kind": "Benchmark", "official_label": "DfT England \u00a33.0bn (BUS05bii) \u00d7 1.18 UK uplift", "url": "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025" }, "population_m": { - "ours": 70.2, + "ours": 69.9, "official": 68.3, "kind": "Independent check", "official_label": "ONS UK mid-2023 population 68.3m", @@ -385,14 +395,14 @@ "end_date": "2027-12-31", "geography": "England outside London", "participating_services_only": true, - "people_potentially_affected_m": 14.34, + "people_potentially_affected_m": 37.99, "announced_cap_funding_bn": 0.4, "announced_total_extra_funding_bn": 0.454, "reported_scheme_cost_lower_bound_bn": 0.5, "official_total_scheme_cost_published": false, - "estimated_cost_bn": 0.273, - "estimated_cost_low_bn": 0.218, - "estimated_cost_high_bn": 0.327, + "estimated_cost_bn": 0.354, + "estimated_cost_low_bn": 0.283, + "estimated_cost_high_bn": 0.425, "fare_reduction": 0.125, "fare_reduction_low": 0.1, "fare_reduction_high": 0.15, @@ -402,739 +412,691 @@ "counterfactual": "\u00a33 cap for 3 months, no cap for 9 months", "blended_reduction": 0.1872, "cap_existence_reduction": 0.083, - "estimated_cost_bn": 0.409, - "estimated_cost_low_bn": 0.354, - "estimated_cost_high_bn": 0.463, + "estimated_cost_bn": 0.531, + "estimated_cost_low_bn": 0.46, + "estimated_cost_high_bn": 0.602, "effect_breakdowns": { "region": [ { - "group": "South East", - "cost_bn": 0.096 + "group": "North West", + "cost_bn": 0.095 }, { - "group": "Yorkshire", - "cost_bn": 0.063 + "group": "South East", + "cost_bn": 0.096 }, { - "group": "North West", - "cost_bn": 0.062 + "group": "West Midlands", + "cost_bn": 0.088 }, { - "group": "West Midlands", - "cost_bn": 0.046 + "group": "Yorkshire", + "cost_bn": 0.068 }, { - "group": "North East", - "cost_bn": 0.04 + "group": "South West", + "cost_bn": 0.054 }, { "group": "East Midlands", - "cost_bn": 0.037 + "cost_bn": 0.045 }, { - "group": "South West", - "cost_bn": 0.037 + "group": "East of England", + "cost_bn": 0.045 }, { - "group": "East of England", - "cost_bn": 0.028 + "group": "North East", + "cost_bn": 0.04 } ], "household_type": [ { - "group": "Single", - "cost_bn": 0.163 + "group": "Couple With Children", + "cost_bn": 0.185 }, { - "group": "Couple No Children", - "cost_bn": 0.157 + "group": "Single", + "cost_bn": 0.165 }, { - "group": "Couple With Children", - "cost_bn": 0.081 + "group": "Couple No Children", + "cost_bn": 0.095 }, { "group": "Lone Parent", - "cost_bn": 0.008 + "cost_bn": 0.086 } ], "age_band": [ - { - "group": "0-4", - "cost_bn": 0.007 - }, { "group": "5-9", - "cost_bn": 0.009 + "cost_bn": 0.032 }, { "group": "10-14", - "cost_bn": 0.005 + "cost_bn": 0.061 }, { "group": "15-19", - "cost_bn": 0.02 + "cost_bn": 0.084 }, { "group": "20-24", - "cost_bn": 0.048 + "cost_bn": 0.053 }, { "group": "25-29", - "cost_bn": 0.031 + "cost_bn": 0.042 }, { "group": "30-34", - "cost_bn": 0.032 + "cost_bn": 0.041 }, { "group": "35-39", - "cost_bn": 0.025 + "cost_bn": 0.044 }, { "group": "40-44", - "cost_bn": 0.029 + "cost_bn": 0.034 }, { "group": "45-49", - "cost_bn": 0.018 + "cost_bn": 0.029 }, { "group": "50-54", - "cost_bn": 0.03 + "cost_bn": 0.029 }, { "group": "55-59", - "cost_bn": 0.021 + "cost_bn": 0.032 }, { "group": "60-64", - "cost_bn": 0.02 + "cost_bn": 0.043 }, { "group": "65-69", - "cost_bn": 0.037 - }, - { - "group": "70-74", - "cost_bn": 0.038 - }, - { - "group": "75-79", - "cost_bn": 0.017 - }, - { - "group": "80+", - "cost_bn": 0.022 + "cost_bn": 0.007 } ], "income_quintile": [ { "group": "Q1", - "cost_bn": 0.125 + "cost_bn": 0.144 }, { "group": "Q2", - "cost_bn": 0.122 + "cost_bn": 0.106 }, { "group": "Q3", - "cost_bn": 0.092 + "cost_bn": 0.097 }, { "group": "Q4", - "cost_bn": 0.053 + "cost_bn": 0.098 }, { "group": "Q5", - "cost_bn": 0.017 + "cost_bn": 0.086 } ] }, "average_effect_breakdowns": { "region": [ { - "group": "North East", - "annual_effect_gbp": 30.29 + "group": "West Midlands", + "annual_effect_gbp": 34.54 }, { - "group": "Yorkshire", - "annual_effect_gbp": 24.37 + "group": "North East", + "annual_effect_gbp": 33.14 }, { - "group": "South East", - "annual_effect_gbp": 22.22 + "group": "North West", + "annual_effect_gbp": 29.06 }, { - "group": "North West", - "annual_effect_gbp": 17.56 + "group": "Yorkshire", + "annual_effect_gbp": 28.43 }, { - "group": "West Midlands", - "annual_effect_gbp": 16.88 + "group": "South East", + "annual_effect_gbp": 24.19 }, { "group": "East Midlands", - "annual_effect_gbp": 16.24 + "annual_effect_gbp": 21.03 }, { "group": "South West", - "annual_effect_gbp": 13.3 + "annual_effect_gbp": 21.0 }, { "group": "East of England", - "annual_effect_gbp": 9.59 + "annual_effect_gbp": 16.58 } ], "household_type": [ { - "group": "Single", - "annual_effect_gbp": 19.85 + "group": "Lone Parent", + "annual_effect_gbp": 66.62 }, { - "group": "Couple No Children", - "annual_effect_gbp": 19.29 + "group": "Couple With Children", + "annual_effect_gbp": 47.02 }, { - "group": "Couple With Children", - "annual_effect_gbp": 19.07 + "group": "Couple No Children", + "annual_effect_gbp": 16.84 }, { - "group": "Lone Parent", - "annual_effect_gbp": 3.33 + "group": "Single", + "annual_effect_gbp": 14.49 } ], "age_band": [ { "group": "0-4", - "annual_effect_gbp": 2.52 + "annual_effect_gbp": 0.0 }, { "group": "5-9", - "annual_effect_gbp": 2.83 + "annual_effect_gbp": 11.19 }, { "group": "10-14", - "annual_effect_gbp": 1.83 + "annual_effect_gbp": 19.76 }, { "group": "15-19", - "annual_effect_gbp": 6.89 + "annual_effect_gbp": 28.12 }, { "group": "20-24", - "annual_effect_gbp": 16.66 + "annual_effect_gbp": 17.99 }, { "group": "25-29", - "annual_effect_gbp": 9.6 + "annual_effect_gbp": 14.44 }, { "group": "30-34", - "annual_effect_gbp": 9.39 + "annual_effect_gbp": 12.31 }, { "group": "35-39", - "annual_effect_gbp": 8.0 + "annual_effect_gbp": 13.15 }, { "group": "40-44", - "annual_effect_gbp": 9.09 + "annual_effect_gbp": 10.68 }, { "group": "45-49", - "annual_effect_gbp": 6.02 + "annual_effect_gbp": 9.59 }, { "group": "50-54", - "annual_effect_gbp": 9.39 + "annual_effect_gbp": 9.35 }, { "group": "55-59", - "annual_effect_gbp": 5.95 + "annual_effect_gbp": 9.36 }, { "group": "60-64", - "annual_effect_gbp": 6.32 + "annual_effect_gbp": 13.39 }, { "group": "65-69", - "annual_effect_gbp": 15.76 + "annual_effect_gbp": 2.49 }, { "group": "70-74", - "annual_effect_gbp": 15.37 + "annual_effect_gbp": 0.0 }, { "group": "75-79", - "annual_effect_gbp": 8.15 + "annual_effect_gbp": 0.0 }, { "group": "80+", - "annual_effect_gbp": 7.91 + "annual_effect_gbp": 0.0 } ], "income_quintile": [ { "group": "Q1", - "annual_effect_gbp": 24.67 + "annual_effect_gbp": 31.26 }, { "group": "Q2", - "annual_effect_gbp": 25.69 + "annual_effect_gbp": 25.36 }, { "group": "Q3", - "annual_effect_gbp": 19.94 + "annual_effect_gbp": 24.37 }, { "group": "Q4", - "annual_effect_gbp": 12.25 + "annual_effect_gbp": 24.4 }, { "group": "Q5", - "annual_effect_gbp": 4.63 + "annual_effect_gbp": 21.3 } ] }, - "household_effect_average_gbp": 18.2 + "household_effect_average_gbp": 25.51 }, - "baseline_fare_spending_bn": 2.182, + "baseline_fare_spending_bn": 2.834, "breakdowns": { "region": [ { - "group": "South East", - "cost_bn": 0.063 + "group": "North West", + "cost_bn": 0.064 }, { - "group": "Yorkshire", - "cost_bn": 0.042 + "group": "South East", + "cost_bn": 0.064 }, { - "group": "North West", - "cost_bn": 0.041 + "group": "West Midlands", + "cost_bn": 0.059 }, { - "group": "West Midlands", - "cost_bn": 0.031 + "group": "Yorkshire", + "cost_bn": 0.045 }, { - "group": "North East", - "cost_bn": 0.027 + "group": "South West", + "cost_bn": 0.036 }, { "group": "East Midlands", - "cost_bn": 0.025 + "cost_bn": 0.03 }, { - "group": "South West", - "cost_bn": 0.025 + "group": "East of England", + "cost_bn": 0.03 }, { - "group": "East of England", - "cost_bn": 0.019 + "group": "North East", + "cost_bn": 0.026 } ], "household_type": [ { - "group": "Single", - "cost_bn": 0.109 + "group": "Couple With Children", + "cost_bn": 0.123 }, { - "group": "Couple No Children", - "cost_bn": 0.105 + "group": "Single", + "cost_bn": 0.11 }, { - "group": "Couple With Children", - "cost_bn": 0.054 + "group": "Couple No Children", + "cost_bn": 0.064 }, { "group": "Lone Parent", - "cost_bn": 0.005 + "cost_bn": 0.057 } ], "age_band": [ - { - "group": "0-4", - "cost_bn": 0.004 - }, { "group": "5-9", - "cost_bn": 0.006 + "cost_bn": 0.021 }, { "group": "10-14", - "cost_bn": 0.004 + "cost_bn": 0.041 }, { "group": "15-19", - "cost_bn": 0.013 + "cost_bn": 0.056 }, { "group": "20-24", - "cost_bn": 0.032 + "cost_bn": 0.036 }, { "group": "25-29", - "cost_bn": 0.021 + "cost_bn": 0.028 }, { "group": "30-34", - "cost_bn": 0.021 + "cost_bn": 0.027 }, { "group": "35-39", - "cost_bn": 0.017 + "cost_bn": 0.03 }, { "group": "40-44", - "cost_bn": 0.019 + "cost_bn": 0.023 }, { "group": "45-49", - "cost_bn": 0.012 + "cost_bn": 0.019 }, { "group": "50-54", - "cost_bn": 0.02 + "cost_bn": 0.019 }, { "group": "55-59", - "cost_bn": 0.014 + "cost_bn": 0.021 }, { "group": "60-64", - "cost_bn": 0.013 + "cost_bn": 0.029 }, { "group": "65-69", - "cost_bn": 0.025 - }, - { - "group": "70-74", - "cost_bn": 0.025 - }, - { - "group": "75-79", - "cost_bn": 0.012 - }, - { - "group": "80+", - "cost_bn": 0.015 + "cost_bn": 0.004 } ], "income_quintile": [ { "group": "Q1", - "cost_bn": 0.084 + "cost_bn": 0.096 }, { "group": "Q2", - "cost_bn": 0.082 + "cost_bn": 0.071 }, { "group": "Q3", - "cost_bn": 0.061 + "cost_bn": 0.065 }, { "group": "Q4", - "cost_bn": 0.035 + "cost_bn": 0.065 }, { "group": "Q5", - "cost_bn": 0.011 + "cost_bn": 0.057 } ] }, "effect_breakdowns": { "region": [ { - "group": "South East", - "cost_bn": 0.063 + "group": "North West", + "cost_bn": 0.064 }, { - "group": "Yorkshire", - "cost_bn": 0.042 + "group": "South East", + "cost_bn": 0.064 }, { - "group": "North West", - "cost_bn": 0.041 + "group": "West Midlands", + "cost_bn": 0.059 }, { - "group": "West Midlands", - "cost_bn": 0.031 + "group": "Yorkshire", + "cost_bn": 0.045 }, { - "group": "North East", - "cost_bn": 0.027 + "group": "South West", + "cost_bn": 0.036 }, { "group": "East Midlands", - "cost_bn": 0.025 + "cost_bn": 0.03 }, { - "group": "South West", - "cost_bn": 0.025 + "group": "East of England", + "cost_bn": 0.03 }, { - "group": "East of England", - "cost_bn": 0.019 + "group": "North East", + "cost_bn": 0.026 } ], "household_type": [ { - "group": "Single", - "cost_bn": 0.109 + "group": "Couple With Children", + "cost_bn": 0.123 }, { - "group": "Couple No Children", - "cost_bn": 0.105 + "group": "Single", + "cost_bn": 0.11 }, { - "group": "Couple With Children", - "cost_bn": 0.054 + "group": "Couple No Children", + "cost_bn": 0.064 }, { "group": "Lone Parent", - "cost_bn": 0.005 + "cost_bn": 0.057 } ], "age_band": [ - { - "group": "0-4", - "cost_bn": 0.004 - }, { "group": "5-9", - "cost_bn": 0.006 + "cost_bn": 0.021 }, { "group": "10-14", - "cost_bn": 0.004 + "cost_bn": 0.041 }, { "group": "15-19", - "cost_bn": 0.013 + "cost_bn": 0.056 }, { "group": "20-24", - "cost_bn": 0.032 + "cost_bn": 0.036 }, { "group": "25-29", - "cost_bn": 0.021 + "cost_bn": 0.028 }, { "group": "30-34", - "cost_bn": 0.021 + "cost_bn": 0.027 }, { "group": "35-39", - "cost_bn": 0.017 + "cost_bn": 0.03 }, { "group": "40-44", - "cost_bn": 0.019 + "cost_bn": 0.023 }, { "group": "45-49", - "cost_bn": 0.012 + "cost_bn": 0.019 }, { "group": "50-54", - "cost_bn": 0.02 + "cost_bn": 0.019 }, { "group": "55-59", - "cost_bn": 0.014 + "cost_bn": 0.021 }, { "group": "60-64", - "cost_bn": 0.013 + "cost_bn": 0.029 }, { "group": "65-69", - "cost_bn": 0.025 - }, - { - "group": "70-74", - "cost_bn": 0.025 - }, - { - "group": "75-79", - "cost_bn": 0.012 - }, - { - "group": "80+", - "cost_bn": 0.015 + "cost_bn": 0.004 } ], "income_quintile": [ { "group": "Q1", - "cost_bn": 0.084 + "cost_bn": 0.096 }, { "group": "Q2", - "cost_bn": 0.082 + "cost_bn": 0.071 }, { "group": "Q3", - "cost_bn": 0.061 + "cost_bn": 0.065 }, { "group": "Q4", - "cost_bn": 0.035 + "cost_bn": 0.065 }, { "group": "Q5", - "cost_bn": 0.011 + "cost_bn": 0.057 } ] }, "average_effect_breakdowns": { "region": [ { - "group": "North East", - "annual_effect_gbp": 20.22 + "group": "West Midlands", + "annual_effect_gbp": 23.06 }, { - "group": "Yorkshire", - "annual_effect_gbp": 16.27 + "group": "North East", + "annual_effect_gbp": 22.12 }, { - "group": "South East", - "annual_effect_gbp": 14.83 + "group": "North West", + "annual_effect_gbp": 19.4 }, { - "group": "North West", - "annual_effect_gbp": 11.72 + "group": "Yorkshire", + "annual_effect_gbp": 18.98 }, { - "group": "West Midlands", - "annual_effect_gbp": 11.27 + "group": "South East", + "annual_effect_gbp": 16.15 }, { "group": "East Midlands", - "annual_effect_gbp": 10.84 + "annual_effect_gbp": 14.04 }, { "group": "South West", - "annual_effect_gbp": 8.88 + "annual_effect_gbp": 14.02 }, { "group": "East of England", - "annual_effect_gbp": 6.4 + "annual_effect_gbp": 11.07 } ], "household_type": [ { - "group": "Single", - "annual_effect_gbp": 13.25 + "group": "Lone Parent", + "annual_effect_gbp": 44.47 }, { - "group": "Couple No Children", - "annual_effect_gbp": 12.88 + "group": "Couple With Children", + "annual_effect_gbp": 31.39 }, { - "group": "Couple With Children", - "annual_effect_gbp": 12.73 + "group": "Couple No Children", + "annual_effect_gbp": 11.24 }, { - "group": "Lone Parent", - "annual_effect_gbp": 2.22 + "group": "Single", + "annual_effect_gbp": 9.67 } ], "age_band": [ { "group": "0-4", - "annual_effect_gbp": 1.68 + "annual_effect_gbp": 0.0 }, { "group": "5-9", - "annual_effect_gbp": 1.89 + "annual_effect_gbp": 7.47 }, { "group": "10-14", - "annual_effect_gbp": 1.22 + "annual_effect_gbp": 13.19 }, { "group": "15-19", - "annual_effect_gbp": 4.6 + "annual_effect_gbp": 18.77 }, { "group": "20-24", - "annual_effect_gbp": 11.12 + "annual_effect_gbp": 12.01 }, { "group": "25-29", - "annual_effect_gbp": 6.41 + "annual_effect_gbp": 9.64 }, { "group": "30-34", - "annual_effect_gbp": 6.27 + "annual_effect_gbp": 8.22 }, { "group": "35-39", - "annual_effect_gbp": 5.34 + "annual_effect_gbp": 8.78 }, { "group": "40-44", - "annual_effect_gbp": 6.07 + "annual_effect_gbp": 7.13 }, { "group": "45-49", - "annual_effect_gbp": 4.02 + "annual_effect_gbp": 6.4 }, { "group": "50-54", - "annual_effect_gbp": 6.27 + "annual_effect_gbp": 6.24 }, { "group": "55-59", - "annual_effect_gbp": 3.97 + "annual_effect_gbp": 6.25 }, { "group": "60-64", - "annual_effect_gbp": 4.22 + "annual_effect_gbp": 8.94 }, { "group": "65-69", - "annual_effect_gbp": 10.52 + "annual_effect_gbp": 1.66 }, { "group": "70-74", - "annual_effect_gbp": 10.26 + "annual_effect_gbp": 0.0 }, { "group": "75-79", - "annual_effect_gbp": 5.44 + "annual_effect_gbp": 0.0 }, { "group": "80+", - "annual_effect_gbp": 5.28 + "annual_effect_gbp": 0.0 } ], "income_quintile": [ { "group": "Q1", - "annual_effect_gbp": 16.47 + "annual_effect_gbp": 20.87 }, { "group": "Q2", - "annual_effect_gbp": 17.15 + "annual_effect_gbp": 16.93 }, { "group": "Q3", - "annual_effect_gbp": 13.31 + "annual_effect_gbp": 16.27 }, { "group": "Q4", - "annual_effect_gbp": 8.18 + "annual_effect_gbp": 16.29 }, { "group": "Q5", - "annual_effect_gbp": 3.09 + "annual_effect_gbp": 14.22 } ] }, @@ -1142,43 +1104,43 @@ "ticket_level_savings_estimated": false, "household_effect": { "population": "All households in England outside London", - "annual_effect_average_gbp": 12.15, + "annual_effect_average_gbp": 17.03, "by_region": [ { - "region": "North East", - "annual_effect_gbp": 20.22 + "region": "West Midlands", + "annual_effect_gbp": 23.06 }, { - "region": "Yorkshire", - "annual_effect_gbp": 16.27 + "region": "North East", + "annual_effect_gbp": 22.12 }, { - "region": "South East", - "annual_effect_gbp": 14.83 + "region": "North West", + "annual_effect_gbp": 19.4 }, { - "region": "North West", - "annual_effect_gbp": 11.72 + "region": "Yorkshire", + "annual_effect_gbp": 18.98 }, { - "region": "West Midlands", - "annual_effect_gbp": 11.27 + "region": "South East", + "annual_effect_gbp": 16.15 }, { "region": "East Midlands", - "annual_effect_gbp": 10.84 + "annual_effect_gbp": 14.04 }, { "region": "South West", - "annual_effect_gbp": 8.88 + "annual_effect_gbp": 14.02 }, { "region": "East of England", - "annual_effect_gbp": 6.4 + "annual_effect_gbp": 11.07 } ], - "allocation_base_bn": 0.273, - "method": "12.5% derived all-ticket reduction applied to simulated fare spending (distributionally calibrated upstream in policyengine-uk-data)" + "allocation_base_bn": 0.354, + "method": "12.5% derived all-ticket reduction applied to simulated fare spending (imputed journeys priced at DfT yields per boarding in policyengine-uk)" } } } diff --git a/pyproject.toml b/pyproject.toml index 5d539b1..2aee46f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,13 +22,10 @@ dependencies = [ "pandas>=2.0", "tables>=3.9", "huggingface_hub>=0.20", - # The policyengine.py wrapper. Its [uk] extra exact-pins policyengine-uk - # (==2.89.2 as of bundle 5.0.1), which conflicts with the >=2.89.3 floor - # below, so policyengine-uk is installed directly instead of via the extra. - "policyengine>=4.17.10", - # person_bus_fare_spending and gov.dft.bus.fare_allocation_weight_by_age, - # which this analysis reads instead of allocating fares itself. - "policyengine-uk>=2.89.3", + # The policyengine.py release bundle. Its [uk] extra exact-pins + # policyengine-uk (2.132.6 in 6.10.2) and certifies the Microcosm UK dataset + # built with it, so policyengine-uk is not pinned separately here. + "policyengine[uk]==6.10.2", ] [project.optional-dependencies] diff --git a/src/bus_fare_cap/pipeline.py b/src/bus_fare_cap/pipeline.py index be58f3c..ed0f0e9 100644 --- a/src/bus_fare_cap/pipeline.py +++ b/src/bus_fare_cap/pipeline.py @@ -1,14 +1,12 @@ """Bus fare reform pipeline. Costs the £3-to-£2 English bus fare cap announced on 22 July 2026 using the -PolicyEngine UK Enhanced FRS. Household bus-fare spending is allocated to people -and reduced by a 12.5% (range 10-15%) all-ticket fare reduction derived from +certified PolicyEngine Microcosm UK dataset. Person-level bus-fare spending +(imputed NTS journeys priced at DfT yields per boarding) is reduced by a 12.5% (range 10-15%) all-ticket fare reduction derived from DfT's evaluation of the previous £2 cap, re-weighted for the £3-cap counterfactual and cap-era ticket mix. A second scenario prices the announcement against current law, under which the £3 cap's funding expires on -31 March 2027. Distributional calibration of fares (BUS05ai regional split, -NTS0705a income anchoring) happens upstream in -policyengine-uk-data. The result is an independent, +31 March 2027. The result is an independent, static microsimulation estimate; the government's funding figures are retained only as benchmarks. """ @@ -16,7 +14,6 @@ from __future__ import annotations import argparse -import importlib.metadata import json import os from pathlib import Path @@ -28,26 +25,20 @@ from .sources import ENGLAND_TO_UK_POPULATION_UPLIFT REPO_ROOT = Path(__file__).resolve().parents[2] -# Default simulation source: the PolicyEngine UK Enhanced FRS, downloaded from -# the private release at a pinned revision for reproducibility. This revision -# includes the BUS05ai/NTS0705a distributional calibration of -# bus_fare_spending (PolicyEngine/policyengine-uk-data#447). -DATASET = "enhanced_frs_2024_25.h5" -PRIVATE_REPO = "policyengine/policyengine-uk-data-private" -DATASET_REVISION = "32543d455762ce973791f364805621966b083825" -# Opt-in alternative: the Populace UK dataset, simulated through the -# policyengine.py wrapper (managed_microsimulation). Kept available but NOT -# triggered by default — set BUS_FARE_CAP_POPULACE=1 to use it. -POPULACE_DATASET = "populace_uk_2023" - - -def _use_populace() -> bool: - return os.environ.get("BUS_FARE_CAP_POPULACE", "").strip().lower() not in ( - "", - "0", - "false", - "no", - ) +# Simulation source: the Microcosm UK dataset certified by the installed +# policyengine.py release bundle, loaded through managed_microsimulation. The +# bundle pins policyengine-uk and the dataset build together, so the model +# version, dataset name and revision recorded in the output are exactly what +# produced the numbers. +# +# From policyengine-uk 2.13x, current law already contains the announced £2 cap +# from 1 January 2027 (gov.dft.bus.fares.cap), and person_bus_fare_spending +# prices imputed journeys at DfT yields per boarding. The analysis is defined +# against a £3 cap running all year, so the simulation holds the cap at £3 over +# the model's 2027 cap year (which runs to 5 April 2028). The model's +# representative uncapped single fare (£2.748) sits below £3, so this +# counterfactual equals uncapped fares in the model. +COUNTERFACTUAL_REFORM = {"gov.dft.bus.fares.cap": {"2027-01-01.2028-12-31": 3}} def _label(level: str) -> str: @@ -73,27 +64,41 @@ def _age_allocation_weights(sim, year) -> dict: def _load_sim(): - if _use_populace(): - # Populace UK via policyengine.py. managed_microsimulation returns a - # real policyengine_uk.Microsimulation, so .calculate(...) is unchanged. - from policyengine.tax_benefit_models.uk import managed_microsimulation - - return managed_microsimulation(dataset=POPULACE_DATASET) - - from huggingface_hub import hf_hub_download - from policyengine_uk import Microsimulation - from policyengine_uk.data import UKSingleYearDataset - - path = hf_hub_download( - repo_id=PRIVATE_REPO, filename=DATASET, repo_type="model", revision=DATASET_REVISION - ) - return Microsimulation(dataset=UKSingleYearDataset(path)) + """Certified Microcosm UK simulation under the £3-cap counterfactual.""" + if not os.environ.get("HUGGING_FACE_TOKEN"): + # The UK dataset is private; reuse a saved Hugging Face login if present. + from huggingface_hub import get_token + + token = get_token() + if token: + os.environ["HUGGING_FACE_TOKEN"] = token + import policyengine as pe + + return pe.uk.managed_microsimulation(reform=COUNTERFACTUAL_REFORM) + + +def _provenance(sim) -> dict: + bundle = getattr(sim, "policyengine_bundle", {}) or {} + return { + "policyengine_version": bundle.get("policyengine_version"), + "policyengine_uk_version": bundle.get("model_version"), + "policyengine_bundle_id": bundle.get("bundle_id"), + "dataset_name": bundle.get("runtime_dataset"), + "dataset_revision": bundle.get("runtime_dataset_revision"), + "dataset_sha256": bundle.get("runtime_dataset_sha256"), + } def run(args: argparse.Namespace) -> None: year = args.year - print(f"Step 1: Microsimulation on {DATASET} ...") + print("Step 1: Microsimulation on the certified Microcosm UK dataset ...") sim = _load_sim() + provenance = _provenance(sim) + print( + f" policyengine {provenance['policyengine_version']}, policyengine-uk " + f"{provenance['policyengine_uk_version']}, {provenance['dataset_name']} " + f"@ {provenance['dataset_revision']}" + ) print("Step 2: Person-level arrays ...") age = np.asarray(sim.calculate("age", period=year, map_to="person").values, float) @@ -108,10 +113,10 @@ def run(args: argparse.Namespace) -> None: ) pw = np.asarray(sim.calculate("bus_fare_spending", period=year, map_to="person").weights, float) - # Person's allocated annual bus fare; sums to the household total. The - # allocation (an NTS age profile of bus use, adjusted for concessionary - # travel) is modelled upstream as gov.dft.bus.fare_allocation_weight_by_age - # — see PolicyEngine/policyengine-uk#1801. + # Person's annual bus fare; sums to the household total. With journey + # data (as in Microcosm) policyengine-uk prices each person's imputed + # local-bus trips at DfT yields per boarding, with concessionary pass + # holders paying nothing. alloc = np.asarray( sim.calculate("person_bus_fare_spending", period=year, map_to="person").values, float, @@ -134,11 +139,6 @@ def run(args: argparse.Namespace) -> None: } in_policy_geography = np.isin(region_label, list(english_regions_outside_london)) - # Distributional calibration (BUS05ai regional split, NTS0705a income - # anchoring) lives upstream in policyengine-uk-data - # (calibrate_bus_fare_spending); this repo only applies reform modelling - # to the built dataset. See PolicyEngine/policyengine-uk-data#447. - def wsum(values): return float((np.asarray(values) * pw).sum()) @@ -375,8 +375,8 @@ def average_household_effect(dimension): "allocation_base_bn": round(estimated_cost_bn, 3), "method": ( "12.5% derived all-ticket reduction applied to simulated fare " - "spending (distributionally calibrated upstream in " - "policyengine-uk-data)" + "spending (imputed journeys priced at DfT yields per boarding " + "in policyengine-uk)" ), }, } @@ -407,8 +407,8 @@ def average_household_effect(dimension): # DfT Annual Bus Statistics, year ending March 2025 (England): BUS05aii # passenger fare receipts £3.4bn and BUS05bii net government support - # £3.0bn, uplifted England -> UK by population. These are the dataset's own - # calibration targets, shown here only to display what the build hit. + # £3.0bn, uplifted England -> UK by population. Shown as benchmarks for + # the simulated totals; they are not inputs to this pipeline. # https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025 uk_fare = sources.DFT_ENGLAND_FARE_RECEIPTS_BN * ENGLAND_TO_UK_POPULATION_UPLIFT uk_sub = sources.DFT_ENGLAND_SUBSIDY_BN * ENGLAND_TO_UK_POPULATION_UPLIFT @@ -416,14 +416,14 @@ def average_household_effect(dimension): "total_bus_fare_bn": { "ours": round(total_fare / 1e9, 2), "official": round(uk_fare, 2), - "kind": "Calibration target", + "kind": "Benchmark", "official_label": "DfT England £3.4bn (BUS05aii) × 1.18 UK uplift", "url": sources.DFT_FARE.url, }, "total_bus_subsidy_bn": { "ours": round(total_subsidy / 1e9, 2), "official": round(uk_sub, 2), - "kind": "Calibration target", + "kind": "Benchmark", "official_label": "DfT England £3.0bn (BUS05bii) × 1.18 UK uplift", "url": sources.DFT_SUBSIDY.url, }, @@ -441,18 +441,11 @@ def average_household_effect(dimension): "projection_year_label": str(year), "policy_period_label": "1 January–31 December 2027", "currency": "GBP", - "dataset": ( - "populace_uk_2023" - if _use_populace() - else "PolicyEngine UK Enhanced FRS (enhanced_frs_2024_25)" - ), - "dataset_source": "populace-uk" if _use_populace() else "enhanced-frs", - "simulation_stack": ( - "policyengine.py (managed_microsimulation)" - if _use_populace() - else "policyengine-uk (direct)" - ), - "policyengine_uk_version": importlib.metadata.version("policyengine-uk"), + "dataset": f"PolicyEngine Microcosm UK ({provenance['dataset_name']})", + "dataset_source": "microcosm-uk", + "simulation_stack": "policyengine.py (managed_microsimulation)", + "counterfactual_reform": COUNTERFACTUAL_REFORM, + **provenance, **sources.as_json(_age_allocation_weights(sim, year)), "baseline": { "total_bus_fare_bn": round(total_fare / 1e9, 3), diff --git a/src/bus_fare_cap/sources.py b/src/bus_fare_cap/sources.py index cc410fd..74b41e7 100644 --- a/src/bus_fare_cap/sources.py +++ b/src/bus_fare_cap/sources.py @@ -1,8 +1,8 @@ """Single registry of every non-PolicyEngine number used in the analysis. -Quantities PolicyEngine UK models (bus fares/subsidy imputed and calibrated in -the Enhanced FRS, ages, region, weights) come from the dataset at run time. -Everything else — the calibration targets, the England->UK uplift, the NTS age +Quantities PolicyEngine UK models (bus fares and subsidy, ages, region, weights +in the Microcosm UK dataset) come from the simulation at run time. +Everything else — the DfT benchmarks, the England->UK uplift, the NTS age profile, empirical assumptions, and validation context — lives here with a value, a description and a source URL, and is emitted verbatim into the results JSON so the dashboard renders no hardcoded numbers. @@ -70,14 +70,9 @@ MONTHS_VS_THREE_POUND_CAP = 3 MONTHS_VS_NO_CAP = 9 -# Distributional calibration of bus_fare_spending (DfT BUS05ai regional split, -# NTS0705a income anchoring) is applied upstream in policyengine-uk-data -# (calibrate_bus_fare_spending, PolicyEngine/policyengine-uk-data#447); the -# dataset arrives already calibrated. Sources below document those anchors. - -# DfT Annual Bus Statistics, year ending March 2025 (England). These remain the -# calibration anchors for household fare exposure, not a ticket-level estimate -# of the newly announced £3-to-£2 cap. +# DfT Annual Bus Statistics, year ending March 2025 (England). Shown as +# benchmarks for the simulated fare and subsidy totals; the Microcosm UK +# pipeline prices imputed journeys rather than calibrating to these here. # https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025 DFT_ENGLAND_FARE_RECEIPTS_BN = 3.4 # BUS05aii: passenger fare receipts DFT_ENGLAND_SUBSIDY_BN = 3.0 # BUS05bii: net government support @@ -98,7 +93,7 @@ class Source: "£3.4bn (England)", "DfT Annual Bus Statistics, year ending March 2025, table BUS05aii: passenger " "fare receipts on local bus services (England), ~52% of £6.6bn operating " - "revenue. Calibration target for bus_fare_spending, uplifted England->UK by " + "revenue. Benchmark for bus_fare_spending, uplifted England->UK by " "population.", "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025", ) @@ -106,7 +101,7 @@ class Source: "£3.0bn (England)", "DfT Annual Bus Statistics, year ending March 2025, table BUS05bii: total net " "government support for local bus services (England), of which £0.8bn " - "concessionary travel reimbursement. Calibration target for " + "concessionary travel reimbursement. Benchmark for " "bus_subsidy_spending, uplifted England->UK by population.", "https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2025/annual-bus-statistics-year-ending-march-2025", ) @@ -120,15 +115,15 @@ class Source: "Local bus trips/person/year, 2024: Q1 47.6 … Q5 13.0", "National Travel Survey table NTS0705a, 2024, 'Other local bus' (outside " "London): average trips per person per year by household income quintile — " - "Q1 47.6, Q2 37.5, Q3 24.8, Q4 18.5, Q5 13.0. Anchors the income " - "distribution of household fare spending in the policyengine-uk-data build " - "(assuming a common average fare per trip across quintiles).", + "Q1 47.6, Q2 37.5, Q3 24.8, Q4 18.5, Q5 13.0. Reference for the income " + "gradient of bus use; not a calibration input in this pipeline.", "https://www.gov.uk/government/statistical-data-sets/nts07-car-ownership-and-access", ) NTS_AGE_PROFILE = Source( "Bus trips by age; 17-20 peak", - "National Travel Survey 2023 bus trips by age (concessionary-adjusted), used " - "to allocate household bus fares to individuals.", + "National Travel Survey 2023 bus trips by age (concessionary-adjusted). " + "policyengine-uk uses this profile only to allocate reported household " + "spending when journey data is absent; Microcosm UK supplies journeys.", "https://www.gov.uk/government/statistics/national-travel-survey-2023/nts-2023-trips-by-purpose-age-mode-and-sex", ) CURRENT_FARE_CAP_POLICY = Source( @@ -174,9 +169,8 @@ class Source: DFT_REGIONAL_FARE_SPLIT = Source( "England £3,417m: London £1,347m / outside London £2,070m", "DfT Annual Bus Statistics table BUS05ai, year ending March 2025: passenger " - "fare receipts by area. The within-England regional fare split is " - "calibrated to this London/outside-London split in the policyengine-uk-data " - "build, since the LCFS imputation under-captures London fares.", + "fare receipts by area. Benchmark for the London/outside-London split of " + "simulated fares.", "https://www.gov.uk/government/statistical-data-sets/bus-statistics-data-tables", ) @@ -236,13 +230,14 @@ def as_json(age_allocation_weights: dict) -> dict: "cap_existence_reduction": CAP_EXISTENCE_REDUCTION, "months_vs_three_pound_cap": MONTHS_VS_THREE_POUND_CAP, "months_vs_no_cap": MONTHS_VS_NO_CAP, - "distributional_calibration": ( - "Upstream in policyengine-uk-data: BUS05ai regional split and " - "NTS0705a income-quintile anchoring" + "fare_spending_method": ( + "policyengine-uk prices each person's imputed local-bus trips in " + "Microcosm UK at DfT receipts per fare-paying boarding; " + "concessionary pass holders pay nothing" ), "incidence_method": ( - "Derived all-ticket reduction applied to household fare spending, " - "distributionally calibrated upstream in policyengine-uk-data" + "Derived all-ticket reduction applied to simulated person-level " + "fare spending under a £3 cap held all year" ), "behavioural": "static (no induced demand)", }, diff --git a/tests/test_results.py b/tests/test_results.py index c25a5a6..d756c50 100644 --- a/tests/test_results.py +++ b/tests/test_results.py @@ -119,3 +119,17 @@ def test_average_effect_breakdowns_are_positive(results): averages = cap["average_effect_breakdowns"] assert set(averages) == {"region", "household_type", "age_band", "income_quintile"} assert all(row["annual_effect_gbp"] >= 0 for rows in averages.values() for row in rows) + + +def test_results_record_certified_provenance(results): + """The page states which model and data build produced the numbers.""" + assert results["simulation_stack"] == "policyengine.py (managed_microsimulation)" + for key in ( + "policyengine_version", + "policyengine_uk_version", + "dataset_name", + "dataset_revision", + "dataset_sha256", + ): + assert results[key] + assert results["dataset_name"].startswith("microcosm_uk") diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..584c2d1 --- 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"2026-08-11T22:02:26.1Z" }, +] From 592c513319427eddcd72ea80c32af520a15c3c19 Mon Sep 17 00:00:00 2001 From: vahid-ahmadi Date: Sat, 24 Oct 2026 11:02:36 +0100 Subject: [PATCH 2/2] Fix intro fare-reduction figure to match the 12.5% the pipeline applies The intro said the estimate applies DfT's observed 6.3% all-ticket reduction; the pipeline applies the derived 12.5% (range 10-15%), as the Announcement and Methodology tabs already say. Keep 6.3% as the observed evaluation figure the 12.5% is derived from. Co-Authored-By: Claude Opus 5.5 --- dashboard/app/page.jsx | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/dashboard/app/page.jsx b/dashboard/app/page.jsx index ef93373..026453f 100644 --- a/dashboard/app/page.jsx +++ b/dashboard/app/page.jsx @@ -82,8 +82,11 @@ function Dashboard() { handleTabChange("baseline")}>Baseline tab shows the projected baseline bus fares by age and region. The{" "} handleTabChange("methodology")}>Methodology tab explains - how every result is computed, with a source for every assumption. The estimate applies - DfT's observed 6.3% all-ticket reduction to simulated household fare spending. + how every result is computed, with a source for every assumption. The estimate applies a + 12.5% all-ticket reduction (range 10–15%) for the £3-to-£2 step to simulated household + fare spending. We derive it from DfT's evaluation of the previous £2 cap, which + observed a 6.3% all-ticket fall on a pre-cap ticket mix; against current law, the headline + also counts the cap's continued existence once the £3 cap's funding expires.