Data Story
What problem?
Growth corridors can become service deserts: more homes but insufficient, reachable, quality-assured NDIS/SRS & aged-care support. Low transparency also deters impact investment.
Our approach — BSSI (0–100)
BSSI = 0.5 · Coverage + 0.3 · Quality + 0.2 · Access
Coverage: providers per 1k residents (area-level)
Access: proximity to PT stops and key amenities
Quality: prototype Social Impact Layer today; production uses partial-audit transparency → Social Impact Score (SIS)
SIS = 0.40·Safety & Compliance + 0.25·Continuity & Capacity + 0.20·Workforce Quality + 0.15·Participant Experience.
Datasets (Victoria) used / referenced
Primary (used): Building Permit Activity Monthly Summaries (VBA) — aggregated to a 12-month permits index for Outer Melbourne (evidence CSV in repo).
Optional layers (referenced for Access/Coverage): Public Transport lines & stops, School locations, ABS SEIFA, NDIS Provider Register, VIC SRS register (locations).
Method (prototype)
Ingest VBA monthly summaries → extract Region table → compute 12-month totals → scale to PermitsGrowthIndex (0–100).
Combine with demo Coverage/Access/QualityProxy to compute BSSI, rank suburbs.
Map results in Google My Maps; publish area-level only.
Ethics & privacy
Area-level publishing; de-identified ratios; small-N protection; open methods; provider right-of-reply on audit summaries; explainable formulas; human-in-the-loop oversight.
Outputs
Interactive gap map (viewer link in Homepage/Source)
Top gap suburbs table
Evidence CSVs: monthly time series & 12-month summary (in GitHub)
Impact
Residents get clearer choices; councils plan housing with services; government reduces waste and fraud; investors can measure social risk and crowd-in capital.