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ProjectLIGTAS (Fuel Watch) — Automated Philippine fuel-price and station-intelligence layer fused with a national disaster/geo platform: a continuously refreshed master file of 11,346+ petrol stations with per-grade prices assembled from Department of Energy price monitoring reports, OpenStreetMap station geometry and partner APIs (no crowdsourcing), joined to flood-aware routing logic. Same operator also generates water-level and flood-report feeds, SOS/help-request records, transit schedules (MRT-3, LRT-1/2, P2P bus), traffic info, typhoon and earthquake tracks, and an AI flood-risk layer a…
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Automated Philippine fuel-price and station-intelligence layer fused with a national disaster/geo platform: a continuously refreshed master file of 11,346+ petrol stations with per-grade prices assembled from Department of Energy price monitoring reports, OpenStreetMap station geometry and partner APIs (no crowdsourcing), joined to flood-aware routing logic. Same operator also generates water-level and flood-report feeds, SOS/help-request records, transit schedules (MRT-3, LRT-1/2, P2P bus), traffic info, typhoon and earthquake tracks, and an AI flood-risk layer across 4 provinces / 63 cities.
Scale 11From 3 yearsCoverage Energy · Financials
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ProjectLIGTAS (Fuel Watch) — Automated Philippine fuel-price and station-intelligence layer fused with a national disaster/geo platform: a continuously refreshed master file of 11,346+ petrol stations with per-grade prices assembled from Department of Energy price monitoring reports, OpenStreetMap station geometry and partner APIs (no crowdsourcing), joined to flood-aware routing logic. Same operator also generates water-level and flood-report feeds, SOS/help-request records, transit schedules (MRT-3, LRT-1/2, P2P bus), traffic info, typhoon and earthquake tracks, and an AI flood-risk layer a…
Projectligtas offers (Alternative, Price, Geospatial, Supply Chain) — 11,346+ station master records; at ~5 fuel grades and continuous refresh this is roughly 1.7M price observations per year if every record is versioned. Additional volume: continuous water-level and flood-report series across 63 cities, per-event SOS/help-request records, and full MRT/LRT/bus schedule datasets. Total plausible archive order of magnitude 2-5M rows/year..
Fuel price benchmarking and pump-price inflation nowcasting for the Philippines; retail fuel margin and price-transparency monitoring; logistics and fleet routing cost models; catastrophe-model validation and flood-risk underwriting (station availability and price spikes as ground-truth loss proxies); EV/charging and retail siting; LGU disaster-response benchmarking; humanitarian supply-chain planning during typhoons.
The data is with 3 years of history.
Coverage spans APAC, US; Oil & Gas Refining and Marketing, Property & Casualty Insurance; alternative, price, geospatial, supply_chain; equities, commodities, derivatives.
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