Municipal Spatial Sustainability

Decision question

How can a local authority compare service scenarios without hiding the boundary between official observations, modelling assumptions and derived screening estimates?

This demonstrator combines public WasteDataFlow reporting with property and statistical-geography context from GBlocks and published UK greenhouse-gas conversion factors. It deliberately excludes route optimisation, licensed road geometry and claims about a real authority's operating model.

Evidence & trust

Municipal scenario evidence

Bounded evidencesupporting authority

The analysis is reproducible and bounded to an early screening decision. It is not a production service design or a claim about an authority's performance.

Observed basis

Official open reporting

WasteDataFlow fields used by the script were cross-checked against raw source data

Spatial context

Property and OA spine

Aggregated outputs avoid publishing per-property personal information

Reproducibility

Byte-identical rerun

Generated outputs were independently rerun and compared on 16 July 2026

Model boundary

Screening only

No route optimisation or licensed road geometry is represented

Decision use

Supports a decision to commission deeper discovery, verify service assumptions and obtain operational route/fleet evidence.

Known limits

• Illustrative service-frequency assumptions are not observed operating facts.
• Property counts are demand-location proxies, not confirmed collection stops or households.
• Carbon results are screening estimates and should not be used as an operational forecast.

Decision evidence

Is there enough evidence to compare two service scenarios?

Evidence is separated from scenario choices and interpretation before it is used.

Observed

Reported waste flows

Public reporting supplies a consistent historical evidence base at the available reporting geography.

Basis: Defra WasteDataFlow open reporting

Observed

Spatial demand context

Property and output-area counts provide a governed aggregation context for a bounded study area.

Basis: GBlocks open-data spine

Assumed

Service frequency

Weekly or fortnightly frequencies are explicit scenario inputs, not claims about a real authority's current service.

Inferred

Relative carbon screening

Published conversion factors and stated resource assumptions support directional comparison, not route-level forecasting.

Limit / gap

Operational route evidence

Fleet, depot, stop, traffic, contamination and routable-network evidence would be required before procurement or operational change.

Decision this can support

Decide whether the directional difference is material enough to justify an operational discovery phase with validated fleet, route, household and service-frequency data.

Why it matters

The useful output is not a more colourful map. It is a decision card that makes the evidence boundary reviewable: what is known, what was chosen for the scenario, what was calculated, and what must be obtained next.

Public-scope guardrail

This page is intentionally de-identified. It contains no recruiter conversation, employer, compensation, application or private sourcing context. The demonstrator should remain described as personal research unless a separate, authorised client engagement exists.