Airports’ Performance and Efficiency Concerning Low-Cost Carriers Operation

• Autor(a) principal: Rosa, Tiago Miguel Raposo
• Data de Publicação: 2017
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.6/7928
• topic: Companhias de Baixo; Desempenho Aeroportuário; Eficiência Aeroportuária; Macbeth; Mcda; Spss; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Aeronáutica

In the last decade, LCCs (Low-cost Carriers) growth has created a more complex airline–airport– passenger relationship. Airports depend on airlines decision to operate in their infrastructures. However, LCCs have different service demands than legacy carriers. The study of LCCs’ growth enables airport’s decision makers to identify their positive and negative impacts on KPAs and on KPIs and therefore the impacts on airport’s global performance and efficiency. With this information, airports’ decision makers can structure their short and long-term actions plans and initiatives considering LCCs’ operation impacts. This research focuses on assessing airport’s performance and efficiency due to LCCs’ operations through an internal benchmarking. For this purpose, MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) was the Multi-Criteria Decision Analyses (MCDA) methodology chosen using the PESA–AGB (Performance Efficiency Support Analysis – Airport Global Benchmarking) model. Moreover, a statistical analysis is carried out, using LCCs’ traffic and PESA–AGB model outputs, to identify and quantify the airports’ KPAs (key performance areas) and airports’ overall scores that have a greater correlation with LCCs’ operations evolution, during an eleven years’ period (2003-2013), using Microsoft Excel and SPSS (Statistical Package for the Social Sciences). The final results depict a set of KPAs with a high level of correlation with the number of LCCs’ passengers and movements. Moreover, high Pearson correlation coefficients were determined when the correlation between the three airports’ overall performance and efficiency scores and LCCs’ traffic was studied.