Quakeprep May 2026

| Metric | Control (n=700) | QuakePrep (n=1,400) | |--------|----------------|----------------------| | Households with bolted furniture | 18% → 22% | 19% → 71% | | Completed a full drill in past 90 days | 9% | 64% | | Able to receive an offline mesh alert (simulated network cut) | 0% | 93% | | Post-drill freeze response (observed in M6.0 real aftershock) | 41% | 12% |

$9.40 USD (control had no comparable system). 5. Technical Architecture [Seismic Node] --(WiFi/LoRa)--> [Local Broker (Raspberry Pi or cloud)] | v [QuakePrep Alert Server] | +-----------------+-----------------+ | | | [Mobile App] [SMS Gateway] [Mesh Rebroadcast] (gamified drills) (telco backup) (LoRa to home units) Security: All node data signed with Ed25519 keys to prevent false injection attacks. 6. Implementation Roadmap (24 months) | Phase | Duration | Activities | Estimated Budget (per 50k city) | |-------|----------|------------|----------------------------------| | 1 | Months 1–4 | Node calibration, community onboarding, app localization | $48k | | 2 | Months 5–12 | Deploy 120 seismic nodes, train 50 block captains, launch micro-drills | $210k | | 3 | Months 13–20 | LoRa mesh certification, offline alert testing, school integration | $135k | | 4 | Months 21–24 | Full city drill, data analysis, open-source release of hardware designs | $70k | quakeprep

is a three-tier, open-source framework designed to address these gaps. By combining (1) low-cost MEMS accelerometers, (2) a gamified citizen training protocol, and (3) a LoRa-based mesh network for offline alerting, QuakePrep reduces the per-capita cost of preparedness by an estimated 82% while increasing household plan adherence by 47% (pilot data, simulated). This paper outlines the architecture, pilot results, and a scalable implementation roadmap for medium-to-high seismicity zones. 2. Problem Statement | Current Gap | Consequence | |-------------|--------------| | Centralized EWS (US$ 500k–2M per region) | Excluded low-income and rural communities | | Annual drop drills (low realism, no feedback) | Muscle memory degrades; <20% of households secure furniture | | Cellular dependency for alerts | 70% of cell towers fail in M7+ events (post-event studies: 2015 Nepal, 2023 Turkey) | | Metric | Control (n=700) | QuakePrep (n=1,400)

This is a conceptual titled “QuakePrep: A Community-Based Framework for Proactive Earthquake Resilience.” This paper outlines the architecture, pilot results, and