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How Case Studies Work

A case study applies all 11 models to a specific address with a specific business concept. It answers: should you open here?

The output is not a vague “it depends” — it’s a structured verdict with confidence levels, key risks, and the quantitative reasoning behind each model’s conclusion.

  1. Define the site — address, floor area, proposed lease terms
  2. Define the concept — what you’re opening, pricing, target customer, constraints
  3. Pull open data — all 31 datasets queried for the specific location and surrounding area
  4. Run math models — 11 models execute in parallel, each producing a quantitative output
  5. Run AI agent simulation — 10 synthetic personas reason about whether they’d visit
  6. Synthesize verdict — model outputs + agent consensus → go/no-go recommendation
LayerOutputExample
Huff ModelMarket share probability”You’d capture 4.2% of the 400m catchment”
Gravity ModelCustomer flow by origin zone”60% of customers will come from within 800m”
Catchment AnalysisGeographic boundary of reach”Primary catchment: 8,000 people”
RegressionRevenue benchmark”Comparable sites do ~HKD 1.2M/month”
Site RatingComposite score 0–100”Site scores 70/100 — above average”
GeodemographicsCustomer segment profile”Young professional + elderly mix”
Agent SimulationQualitative reasoning”7/10 agents would visit; main barrier: price”
VerdictGo/No-go with confidence”Conditional go — with concept adjustment”

The first full case study — 14 Wa In Fong East, Sheung Wan — is currently in development. It will include:

  • Complete model runs for the specific address
  • Synthetic population for the Sheung Wan TPU
  • Agent simulation results (10 personas, Claude Opus reasoning)
  • Sensitivity analysis: how the verdict changes with different business concepts
  • Comparison against alternative sites in Central & Western District

Every case study is fully reproducible:

  • All open data sourced from public APIs (documented in the Data section)
  • All model formulas from academic literature (documented in the Models section)
  • All agent prompts documented and versioned
  • Anyone with the address and business concept can re-run the same analysis