Spatial/temporal variability in transportation emissions and air quality in NYC cordon pricing

摘要: Abstract Understanding the temporal and spatial variation of air quality (AQ) impact due to congestion pricing is important since health economic benefits improvements depend on distribution traffic-related pollution. Aiming improve our knowledge AQ impacts from pricing, this study integrates a disaggregate agent-based travel demand model with hyper-local examine emissions, quality, exposure. Studying schemes in NYC, we find that daily single-occupancy-vehicle trips charging area decreases by 14.5% 24.3% under low high schemes, respectively. Correspondingly, PM2.5 concentration 5–25% Central Manhattan areas low-toll scenario, more than 10% across almost all New York City high-toll scenario. Our results indicate non-linear relations between adaptation behavior resulting quality/exposure impacts.