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The paper first investigates the influence of daily mobility of population on evaluation of aircraft noise effects. Then, a new air traffic assignment model that considers this activity is proposed. The main objective is to reduce the number of people affected by noise via lowering as much as possible the noise exposure level L den of individuals or groups of people who commute to the same locations during the day. It is hereby intended to reduce the noise impact upon individuals rather than to reduce the impact in particular-typically densely populated -areas. However, sending aircraft farther away from populated regions to reduce noise impact may increase fuel burn, thus affecting airline costs and sustainability. Therefore, a multi-objective optimization approach is utilized to obtain reasonable solutions that comply with overall air transport sustainability. The method aims at generating a set of solutions that provide proper balance between noise annoyance and fuel consumption. The reliability and applicability of the proposed method are validated through a real case study at Belgrade airport in Serbia. The investigation shows that there is a difference between the number of people annoyed (NPA) evaluated based on the census data and the NPA evaluated based on the mobility data. In addition, these numbers differ significantly across residential locations.The optimal results show that the proposed model can offer a considerable reduction in the

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Air traffic noise is one of the major constraints of airport development. Many airports recognized noise problem long ago and have introduced a variety of measures to reduce its impact. The number and types of the introduced measures differ between airports. In order to determine the most influential factors for the introduction of noise abatement measures in airport surroundings, the research presented in this paper examined 248 European airports. By analyzing the correlation of specific characteristics related to airports (number of runways and aircraft operations, distance from the city and the population of the city that it serves, gross domestic product (GDP) per capita) and the number of introduced noise abatement measures, five hypothesis were examined: the higher number of aircraft operations causes the introduction of a higher number of noise abatement measures (NAMs); the higher number of runways will affect the introduction of a higher number of NAMs; airports that are closer to the settlement will introduce a higher number of NAMs; the higher population in the vicinity of the airport will affect the introduction of higher number of NAMs; the higher GDP per capita will affect the introduction of a higher number of NAMs. The results of analysis has shown that number of NAMs introduced doesn’t have significant functional relationship with observed factors, except in some certain cases. Key words: noise, european airports.

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