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