Queensland Premier David Crisafulli has emphasised a localised, data-driven approach to crisis communication in response to ex-Cyclone Alfred. His strategy prioritises accurate, timely, and locally relevant information, ensuring that decision-making remains in the hands of individuals and communities rather than being dictated by blanket orders.
"Mr Crisafulli insisted that households be given accurate, timely information and, wherever possible, be allowed to make their own decisions on what to do. The messaging had to be precise and locally focused, reflecting Mr Crisafulli’s nuanced communications strategy during the cyclone emergency."
This aligns with LiveFlow’s real-time, data-driven methodology, which enables decision-making at the local level based on hyper-local insights rather than one-size-fits-all directives.
How LiveFlow Aligns with This Approach
1. Precision Messaging Over Blanket Orders
Crisafulli’s focus on localised messaging ensures that each community receives information relevant to its conditions, avoiding unnecessary disruptions.
LiveFlow Application: Real-time data streams from IoT sensors (e.g., smart stormwater sensors, flood levels, and hyper-local weather stations) generate hyper-local alerts, preventing overreaction and ensuring critical warnings are taken seriously.
2. Hyper-Local Weather Stations as a Hub-and-Spoke Model
Rather than relying on broad weather forecasts, LiveFlow can integrate a network of hyper-local weather stations into a hub-and-spoke data model:
Hub: A central platform aggregating rainfall, wind, and stormwater data.
Spokes: IoT-enabled rainfall gauges, stormwater sensors, and wind sensors across different locations (e.g., city precincts, flood-prone areas).
LiveFlow Application:
Real-time rainfall mapping that updates every few minutes, dynamically adjusting alerts for specific locations.
Predictive flood modeling using historical data + real-time sensor input to anticipate potential stormwater overflow or flash flooding.
Automated council and emergency notifications with geo-targeted messages to affected areas only, reducing panic.
3. Empowering Households with Live Rainfall Data
Rather than issuing broad evacuation orders or school closures, LiveFlow enables households to access live rainfall, flood risk data, and road conditions in real time.
LiveFlow Application: A public-facing dashboard displaying:
Real-time rainfall intensity at a street-by-street level.
Localized flood risk indicators based on smart stormwater sensor readings.
Customised risk alerts based on individual property locations.
4. Supporting Local Councils with Automated Insights
Crisafulli’s strategy integrates local government authorities into decision-making, ensuring responses are data-driven and community-focused.
LiveFlow Application: Councils receive automated reports on:
Stormwater impacts from real-time sensor data.
Rainfall trends correlated with historical flood events.
AI-based risk projections for the next 24–48 hours.
Outcome: A Hyper-Local, Data-Responsive Model for Emergency Management
By leveraging hyper-local weather stations and real-time stormwater monitoring, LiveFlow enables a hub-and-spoke emergency management model that:
✅ Prevents misinformation by providing precise, location-based alerts.
✅ Empowers residents to make informed decisions based on real-time conditions.
✅ Enhances council response with AI-driven risk analysis and resource deployment.