Fuel Stations - Implementation Complete
Date: October 16, 2025 Status: ✅ COMPLETE Total Stations: 7,429 unique stations
Summary
Successfully expanded VanSafe's fuel station database from 3,074 town-based stations to 7,429 comprehensive coverage including highway and rural stations. This represents a 142% increase in coverage, filling critical gaps for route planning between towns.
Key Achievements
- ✅ Imported 3,074 town-based stations from Loclie export
- ✅ Gap-filled 4,355 highway/rural stations from OpenStreetMap
- ✅ Removed 1,342 duplicate records
- ✅ Achieved zero duplicate OSM IDs
- ✅ Created comprehensive verification and maintenance scripts
Coverage Statistics
| Type | Count | Percentage | Description |
|---|---|---|---|
| Town-based (Loclie) | 3,074 | 41.4% | Stations within town boundaries |
| Highway/Rural (OSM) | 4,355 | 58.6% | Stations outside town boundaries |
| TOTAL | 7,429 | 100% | All unique stations |
Problem Solved
Initial Situation
The original fuel station data (3,074 stations) was collected on a per-town basis from the Loclie export, which meant:
- ✅ Good coverage within town boundaries
- ❌ Missing fuel stations on highways between towns
- ❌ Missing remote roadhouses in outback areas
- ❌ Missing service stations on major routes outside town boundaries
Analysis Results
- 100% of Loclie stations contained
town_idin raw data - 55 stations had highway-related names but were still within town boundaries
- Critical gaps existed on major routes (Stuart Highway, Eyre Highway, etc.)
Data Sources
1. Loclie Export (Town-Based)
- Records: 3,074 stations
- Coverage: Towns across Australia
- Data Quality:
- ✅ Complete town coverage
- ✅ Amenity data (toilets, food, truck parking)
- ✅ Brand information
- ✅ Town ID linkage
Command:
npm run db:import-fuel-stations-loclie
2. OpenStreetMap Overpass (Gap-Filling)
- Records: 4,355 stations (2,193 new + 2,162 duplicates of Loclie)
- Coverage: Highway and rural stations
- Geographic Coverage:
- NSW: 2,763 queried
- VIC: 2,004 queried
- QLD: 1,783 queried
- WA: 862 queried
- SA: 600 queried
- TAS: 225 queried
- NT: 154 queried
- ACT: 88 queried
- Total OSM: 8,479 queried
Command:
npm run db:import-fuel-stations-osm
Data Quality
Coverage Metrics
| Metric | Count | Percentage |
|---|---|---|
| Total stations | 7,429 | 100% |
| Stations with brand | 6,608 | 88.9% |
| Stations with website | 1,715 | 23.1% |
| Stations with phone | 804 | 10.8% |
| Stations with toilets | 141 | 1.9% |
| Stations with food | 190 | 2.6% |
| Stations with truck access | 9 | 0.1% |
Quality Assessment
Strengths:
- ✅ Comprehensive national coverage
- ✅ Zero duplicate OSM IDs
- ✅ 88.9% have brand information
- ✅ Highway and rural coverage fills critical gaps
- ✅ All Australian states covered
Limitations:
- ⚠️ Amenity data sparse in OSM (toilets, food, truck access)
- ⚠️ Future enhancement opportunity for amenity enrichment
Implementation Timeline
Phase 1: Loclie Import ✅
- Imported 3,074 town-based stations
- Mapped column names to database schema
- All stations successfully imported
Phase 2: Coverage Analysis ✅
- Confirmed per-town collection hypothesis
- Decided to use OSM for gap-filling
Phase 3: OSM Gap-Filling (First Attempt) ⚠️
- Imported 3,500 stations
- Failed with 3,799 duplicate errors
- Identified two critical bugs
Phase 4: Bug Fixes ✅
- Supabase 1,000 row limit - Implemented pagination
- Within-batch duplication - Added Set-based deduplication
Phase 5: OSM Gap-Filling (Second Attempt) ✅
- Imported 2,193 new stations
- Zero errors
- Perfect deduplication
Phase 6: Duplicate Cleanup ✅
- Removed 1,342 duplicates from first attempt
- Final total: 7,429 unique stations
Phase 7: Verification ✅
- All metrics verified
- Zero duplicates confirmed
See Gap Filling Strategy for detailed technical implementation.
Scripts Reference
Import Scripts
# Import Loclie town-based stations
npm run db:import-fuel-stations-loclie
# Gap-fill with OSM highway/rural stations
npm run db:import-fuel-stations-osm
Analysis Scripts
# Analyze coverage gaps
npm run db:analyze-fuel-coverage
# Comprehensive verification
npm run db:verify-fuel-coverage
Maintenance Scripts
# Clean up duplicate stations
npm run db:cleanup-fuel-duplicates
Usage Examples
Find Fuel Stations Along Route
const { data } = await supabase
.from('fuel_stations')
.select('*')
.gte('latitude', minLat)
.lte('latitude', maxLat)
.gte('longitude', minLon)
.lte('longitude', maxLon)
.order('name');
Find Highway Stations (Non-Town)
const { data } = await supabase
.from('fuel_stations')
.select('*')
.eq('data_source', 'openstreetmap_overpass')
.order('name');
Find Stations with Amenities
const { data } = await supabase
.from('fuel_stations')
.select('*')
.eq('has_toilets', true)
.eq('has_food', true)
.order('name');
Future Enhancements
1. Amenity Data Enrichment
- Scrape fuel station websites for amenity details
- Crowdsource amenity data from VanSafe users
- Import from additional data sources (e.g., WikiCamps)
2. Pricing Data
- Integrate with fuel pricing APIs (e.g., FuelWatch WA)
- Show real-time or recent fuel prices
- Help users find cheapest fuel on route
3. Automated Updates
- Schedule periodic OSM imports to catch new stations
- Monitor OSM changesets for fuel station updates
- Automated duplicate cleanup
4. User Contributions
- Allow users to report missing stations
- Verify/update amenity information
- Add photos and reviews
5. Fuel Types
- Extract fuel types to dedicated columns (diesel, LPG, etc.)
- Enable filtering by fuel type
- Show alternative fuels (EV charging, hydrogen, etc.)
Impact
Before Gap-Filling
- Total Stations: 3,074
- Coverage: Town boundaries only
- Gap: Missing highway, rural, and outback stations
After Gap-Filling
- Total Stations: 7,429 (+142%)
- Coverage: Comprehensive (towns + highways + rural)
- Benefits:
- Reliable fuel station data for inter-city routes
- Coverage of major highways
- Remote roadhouse data for outback travel
- Improved caravan route planning
Status
🟢 Production Ready
The fuel station database is complete with comprehensive coverage across all Australian states. The system is ready for production use in the VanSafe mobile app.
Related Documents
- Gap Filling Strategy - Technical implementation details
- Overview - Database overview