A methodology to compute emission projections from road transport (EmiTRANS) (Abstract, Julio Lumbrerasa, Rafael Borgea, Alberto Guijarroa, Jose M. Lopezb, M. Encarnacion Rodrígueza, Science Direct, Technological Forecasting and Social Change, Jan. 2014)
Also discussed here: Simulations to reduce emissions from road transport (Science Daily, Mar. 24, 2014)
Today we review a paper that describes a greenhouse gas emission simulation model that can evaluate possible options to reduce emissions from land transportation. Results indicate that highway speed and engine type are the most influential factors while advanced emission reduction is most efficient for hazardous air pollutants such as nitrogen oxides and particulate matter.
“this simulation model can assess the impact of policies and measures such as support systems for vehicle renewal, speed reduction, market penetration of less powerful engines, vehicles fuel change, the city circulation restriction policy and the biofuel usage awareness”
“Atmospheric emissions from road transport have increased all around the world during the last decades more rapidly than from other pollution sources….they contribute to more than 25% of total CO, CO2, NOx, and fine particle emissions in most of the European countries. "
“The conducted tests show that reducing the greenhouse emissions requires mostly non-technological measures (mobility restriction).. the renewal of the vehicles fleet with systems of advanced emission reduction is the most efficient option to reduce emissions of air pollutants (mainly nitrogen oxides and particulate matter).”
“speed on highways and the vehicle engine type are the most influential factors that contribute to CO2 emissions.”