Mixed-Effects Modeling Framework for Amsterdam and Copenhagen for Outdoor NO₂ Concentrations Using Measurements Sampled with Google Street View Cars.

ABSTRACT: High-resolution air quality (AQ) maps based on street-by-street measurements have become possible through large-scale mobile measurement campaigns. Such campaigns have produced data-only maps and have been used to produce empirical models [i.e., land use regression (LUR) models]. Assuming that all road segments are measured, we developed a mixed model framework that predicts concentrations by an LUR model, while allowing road segments to deviate from the LUR prediction based on between-segment variation as a random effect. We used Google Street View cars, equipped with high-quality AQ instruments, and measured the concentration of NO₂ on every street in Amsterdam (n = 46.664) and Copenhagen (n = 28.499) on average seven times over the course of 9 and 16 months, res

SUBMITTER: Kerckhoffs J 

PROVIDER: S-EPMC9178915 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature