Sbayti, H., El-Fadel, M. and Kaysi, I.
Effect of network roadway aggregation levels on modeling traffic-induced emissions inventories
Transportation Research Part D: Transport and Environment, 7, (3), . (doi:10.1016/S1361-9209(01)00017-7).
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Traffic-induced emissions pose a serious threat to air quality in heavily congested urban centers. While air quality can be characterized through field measurements and continuous monitoring, forecasting future conditions depends largely on estimating vehicle-emission factors coupled with mathematical modeling. Traffic and environmental planners have relied on overall average network speed in conjunction with speed-based emission factor models to estimate traffic emissions. This paper investigates the effect of three levels of roadway network aggregation, macro-scale (overall network basis), meso-scale (roadway functional class basis) and micro-scale (link-by-link basis) on emission inventories. A traffic model and an emission factor model were integrated to determine total emissions in the future Beirut Central District area for these three modeling approaches
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