Traffic-induced emissions pose a serious threat to air quality inheavily congested urban centers. While air quality can becharacterized through field measurements and continuous monitoring,forecasting future conditions depends largely on estimatingvehicle-emission factors coupled with mathematical modeling. Trafficand environmental planners have relied on overall average networkspeed in conjunction with speed- Based emission factor models toestimate traffic emissions. This paper investigates the effect ofthree levels Of roadway network aggregation, macro-scale(overallnetwork basis), meso-scale(roadway functional class Basis)andmicro-scale(link-by-link basis)on emission inventories. A trafficmodel and an emission factor Model were integrated to determine totalemissions in the future Berirut Central District area for these threeModeling approaches.
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