Best use for travel intelligence
For travel decisions, noise mapping is most useful as a confidence-weighted risk model for hotels, neighborhoods, and transport corridors when station coverage is thin.
Data cluster
Station data, source proxies, complaints, airport context, and barrier geometry used to build place-level noise-risk models.
For travel decisions, noise mapping is most useful as a confidence-weighted risk model for hotels, neighborhoods, and transport corridors when station coverage is thin.
4 of 8 sources look official or agency-backed.
5 sources expose API, feed, CKAN/DataStore, JSON, XML, or similar machine-readable access.
1 sources have live, hourly, event-driven, warning, or frequent update language.
Combine ambient stations, complaints, barriers, airport context, and source proxies with explicit confidence bands so the system never implies false precision.
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.
Geospatial noise-mitigation and modeling layer for wall=noise_barrier and related barrier geometry near roads, rail lines, airports, and settlements.
OpenStreetMap Overpass API and ODbL geospatial data Geospatial and satelliteGeospatial enrichment for man_made=monitoring_station with monitoring:noise tagging, useful for mapping public or private noise-monitoring locations and nearby source context.
OpenStreetMap Overpass API and ODbL geospatial data Statistics, economy, and financeNational Statistical Office environmental-statistics publication with 24-hour average noise tables for Bangkok, vicinity stations, and some provinces, based on official monitoring summaries.
Public e-book and statistical tables TransportAirports of Thailand public environmental-management page describing environmental governance across all 6 AOT airports plus public complaint and community-contact context for airport-noise and related environmental impacts. Useful as reference and disclosure context, but direct automated fetch behavior can vary and it should not be treated as a stable live measurement feed.
Public sustainability and environmental reporting page Weather, environment, and disastersDepartment of Industrial Works factory-noise measurement method and compliance formula for 24-hour average sound level, background noise, disturbance noise, and maximum sound level from factory operations.
Official PDF regulation and measurement-method document Weather, environment, and disastersPollution complaint intake and routing for loud noise, vibration, construction, restaurants, entertainment venues, factories, and other nuisance-noise cases.
Official public complaint portal; no full open case database verified Weather, environment, and disastersHistorical daily average Leq data from Pollution Control Department noise-monitoring stations, typically published as yearly CSV files for nationwide station records.
CKAN dataset with CSV download resources Weather, environment, and disastersOfficial Pollution Control Department ambient-noise monitoring surface with station codes, area type, update time, Leq 24hr, hourly Leq, Lmin, Lmax, and station detail views. Daily station data is presented as preliminary monitoring data.
Public monitoring dashboard and station pages; no documented bulk public JSON API verified