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This paper investigates the price-setting behavior of full-service airlines in the European passenger aviation market. We develop a model of airline competition, which accommodates various market structures, some of which include low-cost players. Using data on published airfares of Lufthansa, British Airways, Alitalia and KLM for the main city-pairs from Italy to the rest of Europe, our empirical findings substantially confirm the propositions of the theoretical model. We find that competition among full-service carriers appears to affect the price levels of the business and the leisure segments asymmetrically: there are small reductions in the leisure segments and significant reductions in the business segment of the aviation market. In contrast, competition with low-cost carriers reduces both the business and leisure fares of full-service carriers quite uniformly, with an emphasis on the mid-segment fares. © 2012 Elsevier Ltd.

The paper analyses the reorganisation that European carriers have implemented after September 11 in the transatlantic flights. We model carriers’ conduct as a mixture of short- and long-term goals, where the weights depend on firm-specific variables (adjustment costs, financial situation) and subjective expectations on the crisis duration. Data provide some support to our conjectures that high adjustment costs induce low flexibility and a focus on the long-term; and that a bad financial situation shifts the carries attention to short-term. Finally, the analysis of the composition of short- and long-term reaction provides some insights into the carriers’ perspectives of the crisis duration.

Information, communication and transport networks have always been in a state of flux, while they also influence each other. Extensive research efforts have been made to investigate the dynamics in the structure and use of networks, e.g., by means of network geometries, small-world effects and scale-free phenomena. We will illustrate these new developments on the basis of airline network evolution. The present paper provides a new contribution to the analysis of topological properties of complex airline networks. Using Lufthansa's networks as an example, this paper aims to show the empirical relevance of various network indicators - such as connectivity and concentration - for understanding changing patterns in airline network configurations. After an extensive discussion of various statistical results, a decision-aid method, viz. multi-criteria analysis, is used to investigate the robustness of our findings. The results highlight the actual strategic choices made by Lufthansa for its own network, as well in combination with its partners in Star Alliance.