On-road mobile emission source is becoming one of the most important air pollution sources in the urbanized area, especially in urban regions with high traffic volume. This thesis presents a bottom-up methodology based on the results from large-scale microscopic agent-based transport model and associated with the use of local vehicle emission model, the Emission-FACtor-Hong Kong (EMFAC-HK) which developed from the Environmental Protection Department (EPD), to establish a high-resolution vehicle emission inventory for Hong Kong. With the aims of accurate vehicle emissions estimation, the vehicle emissions from this inventory were disaggregated with the vehicle emissions estimated by territory-wide vehicle emissions from the EPD. The multi-lateral detail analysis of this inventory...[ Read more ]

On-road mobile emission source is becoming one of the most important air pollution sources in the urbanized area, especially in urban regions with high traffic volume. This thesis presents a bottom-up methodology based on the results from large-scale microscopic agent-based transport model and associated with the use of local vehicle emission model, the Emission-FACtor-Hong Kong (EMFAC-HK) which developed from the Environmental Protection Department (EPD), to establish a high-resolution vehicle emission inventory for Hong Kong. With the aims of accurate vehicle emissions estimation, the vehicle emissions from this inventory were disaggregated with the vehicle emissions estimated by territory-wide vehicle emissions from the EPD. The multi-lateral detail analysis of this inventory was assessed with respect to different traffic parameters. This bottom-up method indicates that the diurnal cycle and spatial distribution of vehicle emissions rely on much up-to-date information. The deviation between the simulation result for the establishment of this emission inventory and the up-to-date traffic information has been investigated. Furthermore, this research proved that the introduction of an external source of new traffic data to MATSim can improve the accuracy of transport model, which in turn, the emission inventory accuracy can also be improved. This is the valuable tool when traffic counts or traffic information are not periodically updated, avoiding the use of arbitrary weighting factors to the roads and maintaining the validity of the emission inventory data for future improvements and studies. Based on the results of this study, it can improve the downstream air quality simulation work and the contribution of vehicle emissions to a different area or different road type have been investigated in this thesis