TRAP: A Novel Road-level Spatial Interpolation to Improve Estimation Errors of Air Pollution

Spatial interpolation techniques have been used in air pollution studies to generate area-level estimates. Despite the benefits of a mathematically sound concept, rapid implementation, and user-friendly software, interpolation suffers in areas with a low number of monitoring stations and when the built environment is ignored. The purpose of this study is to introduce TRAP, a nearly finished R package that is a new road-scale spatial interpolation method that uses road weighting. The NO2 results in Seoul showed a small variation during the summer, but large daily variations during the winter. The road-overlaid outcomes gave improved results relative to
the roadside measurements.