Methodology
How FIELDBRIEF calculates city-level travel and current-location threat.
Assessment modes
- I am here now — current city threat.
- I plan to travel — pre-trip threat.
- I already arrived — on-trip threat.
- Compare two cities — side-by-side.
Scoring weights
| Category | Weight |
|---|---|
| Crime | 18% |
| Disease & Health | 15% |
| Government Advisory | 12% |
| Political & Civil Unrest | 9% |
| Natural Disaster & Weather | 8% |
| Transport & Route | 13% |
| Environmental | 5% |
| Accommodation | 4% |
| Arrival Time | 4% |
| Digital Security | 3% |
| Money Safety | 3% |
| Personal Modifier | 6% |
Risk tiers
- 0–24 Low
- 25–49 Moderate
- 50–69 Elevated
- 70–100 Extreme
City vs country fallback
Lookups try city first, then country, then a regional/world default.
Trip Readiness Score
Computed from the preparation checklist. Readiness measures preparation; it never reduces the threat figure.
Immediate Safety Score
For "I am here now" / "I already arrived" modes: weights short-term factors (crime, political, transport, arrival time, health, disaster).
Predict / Protect / Rescue / Restore
Every briefing includes structured PPRR actions tailored to the assessed location and situation.
AI-assisted assessment
When configured, FIELDBRIEF queries SearXNG for recent public web context and asks an enabled AI provider for a strict JSON briefing. AI is used as an assessment layer: it explains top drivers, refreshes field recommendations from current open-source signals, and records whether search and AI were actually used. The baseline calculator remains complete when AI is unavailable.
Refresh cadence
New assessments run the live-intelligence pipeline at creation time. Search results are cached for a short window to reduce repeated calls, while saved assessment pages show whether AI/search were used for that briefing. Scheduled refresh jobs can rescan saved assessments as the corpus grows.
Data limitations
Baseline scores are demo estimates. Always verify with official advisories before travel or movement.