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03 — Neighbourhood Prioritization & Targeting

Ranks postal codes by normalized thermal intensity within structure type groups, identifies priority neighbourhoods for retrofit incentive targeting, and tests sensitivity to normalization assumptions.

prioritization targeting incentive-programs sensitivity-analysis
Pythonpandasnumpymatplotlibseabornscipy

Key Findings

  • Top quartile of postal codes identified as priority targets for retrofit incentive programs
  • Ranking is robust to normalization parameter assumptions (basement fraction, floor height)
  • Year-over-year refresh enables macro-level M&V of neighbourhood-scale retrofit programs

Notebook