Key research themes
1. How can integrated traffic emission and simulation models improve predictions and management of vehicle emissions in urban environments?
This research theme focuses on the development and evaluation of vehicle emission models combined with traffic simulation tools to estimate and analyze traffic emissions accurately, addressing complexities like varied driving conditions, vehicle categories, and environmental factors. Accurate emission estimates are essential for policy-making and air quality controls in urban areas.
2. What spatial and temporal patterns characterize traffic-related pollutant concentrations in urban environments, and how do they influence exposure and health risk assessments?
This theme concentrates on empirical measurements and modeling studies analyzing the variability of pollutant concentration gradients near roads, intersections, and urban hotspots, accounting for factors such as distance from traffic, traffic congestion, meteorology, and vehicle type. Understanding pollutant spatial-temporal dynamics informs exposure assessment, pollution mitigation strategies, and urban planning.
3. Which pollutant-specific exposure assessments and chemical characterizations enhance understanding of traffic-related health risks and atmospheric processes?
This research theme explores pollutant-specific studies focusing on particulate matter composition, black carbon exposure, PAH concentrations, and secondary organic aerosol formation from traffic emissions. Such detailed chemical and exposure characterizations are vital for elucidating health impacts, source apportionment, atmospheric chemistry, and developing refined regulatory standards.