1-Hour Call Risk ⓘ 1-Hour Call Risk KPI
Probability (%) of receiving at least one emergency call in the immediate next 60 minutes based on real-time station weather and diurnal patterns.
18.5%
MODERATE
3-Hour Call Risk ⓘ 3-Hour Call Risk KPI
Tactical probability (%) of receiving an emergency call over the upcoming 3-hour window. Used for crew readiness and short-term staffing allocations.
42.1%
MODERATE
Expected 6h Volume ⓘ Expected 6h Call Volume KPI
Predicted cumulative number of emergency calls expected across the entire 6-hour operational shift window.
1.25
Predicted Calls
Est. Time to Next Call ⓘ Est. Time to Next Call KPI
Machine learning regression estimate of inter-arrival delay (hours and minutes) before the next emergency dispatch occurs.
3.2 hrs
~192 minutes
📈 24-Hour Forward Call Risk Forecast ⓘ 24-Hour Forward Call Risk Chart
Plots the hourly emergency call risk profile over the upcoming 24 hours, capturing diurnal peak activity (midday and evening spikes).
🚑 Incident Category Risk Breakdown ⓘ Incident Category Risk Chart
Displays predicted breakdown across NERIS incident categories: Medical, Hazardous Situations (incl. MVAs), Fire, Public Service, and No Emergency/Cancelled.
⚡ 8.5-Year Feature Importances (XGBoost) ⓘ Feature Importances Chart
Shows top predictive features driving emergency call probability across 8.5 years (diurnal hour, precipitation, temperature, recent call volume, wind speed).
🌡️ Weather Sensitivity (Temp vs Risk) ⓘ Weather Sensitivity Chart
Illustrates how ambient temperature variations (winter freezes <32°F to summer heatwaves >85°F) impact emergency call dispatch risk.