Search results for "Low-cost carrier"
showing 3 items of 3 documents
Operational and financial performance of Italian airport companies: A dynamic graphical model
2016
Abstract This paper provides evidence on the relationship within a set of financial and operational indicators for Italian airports over 2008–2014. The limited sample size of national and regional airports suggests to apply the penalised RCON ( V , E ) model, which falls within the class of Gaussian graphical models. It provides both estimate and easy way to visualise conditional independence structures of the variables. Moreover, it is particularly suitable for handling longitudinal data where small number of units and huge number of variables have been collected. Findings highlight that a qualified concept of size matters in determining good financial performance. Specifically, increasing…
Segmentation of low-cost flights users at secondary airports
2010
Abstract Low-cost carrier services are important for many tourist destinations. However, there is little information about the characteristics of travellers using low-cost airlines, and their flight preferences. The typical segmentation of air travellers is business versus leisure travellers; and business versus tourist fares. We use segmentation analysis focusing on low-cost travellers’ valuations of various flight attributes and trip-related characteristics, most notably those related to destinations, based on a sample of foreign travellers who used Girona Airport, Spain.
An Analytic Hierachy Process for Ranking Operating Costs of Low Cost and Full Service Airlines
2009
This paper develops an application of the analytic hierarchy process to rank the operating cost components of full service and low cost airlines. It takes into account the financial balance sheets and answers to a questionnaire submitted to the managers of selected airlines. The results suggest that the analytic hierarchy process can be appropriately used to obtain the ranking of the costs taking into account different views: financial, management and operative. Rental, office equipment and other supplies costs show the highest importance in the cost ranking, both for full services and low cost airlines. The robustness of the results is tested by Monte Carlo analysis.