Abstract

• We studied a network of short-haul commuter flights in Europe, less than 300 n-miles. • Flights were simulated using crowd-sourced ADS-B/Mode-S data. • Flight range is the biggest clear discriminator in emissions. • Analysis is provided for fuel burn, CO 2 , NO x , CO, UHC, SO x , non-volatile particulate matter . • The network explored with geographical information identified routes, city pairs, frequency. We studied a network of commuter flights in Europe ( < 300 n-miles). The analysis of the network identified several connections with very short flights (100–150 n-miles) for which legitimate alternatives may be available. The short-haul network is served by a variety of turbofan and turboprop airplanes; 12 of these airplanes have been used for environmental analysis. Flights were simulated using crowd-sourced ADS-B/Mode-S data, via filtering and other mathematical treatments. Landing and take-off emissions had to be accounted by direct simulation of the missing segments in the flight trajectory. We demonstrate that these phases of flight are essential for accounting of short-haul emissions. Analysis is provided for fuel burn, CO 2 , NO x , CO, UHC, SO x and non-volatile particulate matter, as function of distance, altitude, city pairs. A sensitivity analysis is carried out to evaluate the effects of externalities. Finally, the continental flight network is explored with ancillary geographical information systems and identified routes that could be reviewed to reduce aviation emissions.

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