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Explore how different wildfire scenarios could affect Berkeley's neighborhoods and routes, and see which access vulnerabilities and possible mitigations recur across scenarios. Built from public data.
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Read the full README ↗Explore how different wildfire scenarios could affect Berkeley's neighborhoods and routes, and see which access vulnerabilities and possible mitigations recur across scenarios. Live at https://ericdf.github.io/berkeley-wildfire-evacuation-explorer/ (the repository keeps its name, berkeley-wildfire-evacuation-explorer).
A browser scenario explorer on Berkeley's real street network and terrain. Pick a fire, run it, then see five results for that fire (each summarized over 15 runs, with a plain label saying whether it holds in nearly every run, depends on fire strength, or varies from run to run) and which tested changes improve them.
Official instructions: the City's Fire Weather and Evacuation page.
Why no evacuation times. The traffic model clears roads much faster than the City's 2025 Evacuation Time Study: with the fire off, its 90%-out times run 4–39% short of the study's on 7 of 8 calibration cases, more than 10% short on 3 (R02, the 1923 repeat, weekday 39% and night 12%; R05, Fire Zones 2–3, weekday 20%), and within 10% on Panoramic Hill (SOURCE_NOTES CD1–CD19, docs/model-fix-plan.md). So the explorer does not headline, rank or summarize with clearance times. Where a clock still appears (the run's clock, Expert view's results and Compare) it is labeled model time, not a forecast. The comparison with the study sits in Assumptions & limits, Model performance, as a known limitation. Product brief: docs/product-brief-spread-access.md (Eric, 2026-11-06).
The design brief is specification.md. Every insight taken from a document (the City's 2025 Evacuation Time Study, SB 99 and AB 747 reports, StoryMap and others), with page references and what we did with it, is in SOURCE_NOTES.md. What is still missing is listed in DATA_INVENTORY.md; problems found in other publishers' data, and whether they have been told, in ISSUES.md; where the project stands and what comes next, in HANDOFF.md. Design notes for work in progress are in docs/design/, and reports from finished analyses in docs/.
Where it stands (2026-11-04). The spec's Phase 1 (map, traffic and an illustrative fire on Berkeley's streets) is built, and most of Phase 2: interventions with costs, comparisons over many runs, and the Guided view's three tabs. Phase 3 (evidence-backed Berkeley inputs) is under way (docs/design/phase-3.md): City building footprints give the structures the fire reaches and an assumption range for those lost; LANDFIRE fuels are an opt-in setting; each zone's ACS persons per household and share of households without a vehicle are the default; enforcement of posted no-parking signs and daylighting is a plan setting. Structures do not yet change how the fire spreads, and home hardening is not modeled (docs/design/structure-spread.md).
No build step or dependencies. The simulator is plain ES modules and needs a local web server
(browsers block fetch from file://):
cd berkeley-wildfire-evacuation-explorer
python3 tools/serve.py
# open http://127.0.0.1:8766
Use 127.0.0.1 rather than localhost: if another server is listening on the same port
over IPv6, localhost may reach that one instead.
Loading takes a few seconds: about 10 MB of terrain and 2 MB of street network.
Guided view fits a phone: the map screen takes one screen with no page scrolling; drag the map with one finger, pinch to zoom, tap a street for its card. Expert view works on a phone but is built for a larger screen; on a phone it is one column: the map, then the choices, then the results.
Guided view (the default; rebuilt phone first on 2026-11-10, js/guided.js, js/guided-data.js, SOURCE_NOTES GV1–GV10). Four screens, the same on a phone and a desktop:
data/model/mitigations.json, or the network figure in data/model/spread-access.json, with a plain label ("In nearly every run", "Depends on fire strength", "Varies from run to run"; the rules below) and an Explain this pop-up (what it counts, the runs, the provenance category, limits, the watched run's figure).This is the beginning of the README. Read the rest at the original. Read the full README ↗