Framework System v4.2
System Methodology
A transparent overview of the mathematical models and logic engines powering Citilyze.
Live Dashboard Indices
Urban Stability (USI)
Measures real-time operational resilience based on municipal service resolution efficiency.
USI = ((Total - Open) / Total) * 100* Auckland baseline applies a +20 point normalization offset.
Institutional Integrity (III)
Assesses governance quality by measuring the density of critical category complaints vs volume.
III = 100 - (Serious_Complaints / Total) * 100* Clamped at a 30-40 minimum baseline depending on region.
Analytics Engine Logic
Correlation Scoring
Utilizes a weighted average model to correlate infrastructure spending with reported incidents.
WS = Σ (Value_i * Weight_i) / Σ (Weight_i)Anomaly Detection
Identifies pricing or volume outliers using a standard deviation thresholding algorithm.
Anomaly if |Value - Mean| > (2 * σ)Mayor Mode Simulation (Projections)
The simulation engine propagates input parameters across a systemic impact matrix to forecast city-wide outcomes.
Forecast Stability
Infra*0.4 + Services*0.3 + Corruption*0.2 + Transparency*0.1
Forecast Integrity
Corruption*0.5 + Transparency*0.4 + Infra*0.1
Public Trust
Transparency*0.4 + Services*0.4 + Corruption*0.2
Crime Projection
Max(0, 100 - (Corruption*0.6 + Services*0.4))
Efficiency ROI
Transp*0.3 + Infra*0.4 + (100-Corruption)*0.3
SDG Alignment mapping
SDG 11: Sustainable Cities
- 11.5Disaster risk reduction (Incident Tracking)
- 11.aRegional planning (Infrastructure Indices)
- 11.bPreparedness (Emergency Capability)
SDG 16: Strong Institutions
- 16.6Inclusive Institutions (Transparency scoring)
- 16.10Information Access (Public Data Feeds)
Last Engine Audit: March 2026
Citilyze Intelligence v4.2.1