The purpose of the paper is to analyze the operational performance of a set of17 airlines that operate across Europe in 2008 and 2012, the period that imposed a burden of challenge to airline industry due to severe global economic crisis occurred in 2008.In addition to major carriers in Europe, the sample contains several airlines located in Central and South-East Europe that have been not been broadly investigated in the relevant literature. The study utilizes the standard DEA approach with the inputs consisting of several subsets (resources, costs, capacity, etc), while outputs encompass productivity and economic indices. The results of the model reveal that most of the South-East and Central European airlines are inefficient relative to their western counterparts. Still, these large western airlines tend to be inefficient compared to the major low-cost carriers operating in Europe. Moreover, the model enables obtaining insights into the cause of inefficiency of the airlines with particular implications for improvement in the future. Despite severe economic crisis, the model shows that airlines tend to recover faster than one could even expect it.

The idea of this research starts from an H2020 project (i.e. Syn+Air). The aim is to analyze the mode choice, as well as the variables that affect the travelers? airport access mode choice. For that purpose, we used multinomial logistics (MNL) regression to determine probability of mode choice given various multimodal chain alternatives. The inputs of the proposed model were based on the answers from the participants of the online survey which was disseminated in Europe. Through more than 2000 answers to the survey, we collected the data related to the factors that influence the airport access mode choice, travelers? attitude, motives for traveling, as well as the socio-demographics of participants. Afterwards, we investigated the influence of the main factors that have an impact on the non-coordination in the multimodal travel chain. The obtained results highlight the impact of the main factors affecting mode choice when travelling to/from airports.