Best use for travel intelligence
For travel decisions, motorcycle-taxi data is strongest for short soys, BTS/MRT last-mile access, and neighborhoods where a car taxi adds more friction than value.
Data cluster
Bangkok motorcycle-taxi win counts, driver counts, stand mapping, app-certification context, and last-mile data strategy.
For travel decisions, motorcycle-taxi data is strongest for short soys, BTS/MRT last-mile access, and neighborhoods where a car taxi adds more friction than value.
1 of 2 sources look official or agency-backed.
1 sources expose API, feed, CKAN/DataStore, JSON, XML, or similar machine-readable access.
0 sources have live, hourly, event-driven, warning, or frequent update language.
Separate win counts, driver counts, stand mapping, and app-certification context; many wins need manual coordinate validation.
Last checked: 2026-05-11.
Source confidence: This cluster is strongest when several sources describe the same traveler problem from different angles: official context, machine-readable feeds, and slower fallback documentation.
Counts of motorcycle-taxi stands (wins) and public motorcycle drivers in Bangkok. Useful for stand and driver supply context, not exact live availability or stand coordinates.
DLT/data.go.th dataset with downloadable resources and catalog metadata TransportBest free geospatial layer for taxi ranks, pickup points, and some motorcycle-taxi stands where tagged. Coverage is incomplete and informal stands often need manual validation.
OSM extracts and Overpass API using amenity=taxi, opening_hours, name, operator, and vehicle tags