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The Spanish airport system contains several regional airports within an amenity distance and alternative travel modes. Profitable airports cross-subsidise small airports, which are not required for regional development or connectivity. Airports are government-owned and centralised-managed by Spanish Airports and Air Navigation (AENA, for its Spanish acronym). This study aims to analyse the probability of an under-used public infrastructure and the AENA’s managerial ability as per the financial sustainability of the network in the long term.

The national regulatory framework determines the airports’ environment. Six airports revealed unobserved heterogeneity, avoiding model misspecification. The framework is defined through proxies of the singularities of the Spanish framework: public investments and geographical specifications. The stochastic frontier analysis model follows two time-varying specifications, accounting for airports’ environmental factors, to ensure the robustness of the results to differ from the inefficiency caused by AENA and external factors.

Airports’ infrastructure capacity and traffic are not correlated; regional airports become a financial burden for the system unless they specialise or differentiate. Proxies defining the airports’ context are relevant. Because airports do not compete for airlines and passengers, there are too many regional airports with little traffic, resulting in disused public infrastructure that falls far short of improving connectivity and regional development.

This study contributes to paying attention to the characteristics of the regulatory framework, such as management strongly centralised in AENA, airport charges decided by the owner, lack of competition and lack of an independent regulatory entity. Another original contribution considers reliable capital measures (airports’ infrastructure).

In this chapter, we estimate the allocative efficiency of Spanish airports in the pre-privatization period from 2009 until 2014. The estimation of an input-oriented distance system of equations allows us to calculate different allocative efficiency measures using two approaches. The results show that allocative inefficiencies exist for Spanish airports during this period. Moreover, in breaking down allocative efficiency changes by periods coinciding with different government strategies of privatization, we find important differences. In the initial period, when the government encouraged decentralized management of airports and privatization of the largest airports, allocative efficiency improved (from 2009 to 2012). In the second period, however, when the government focused on centralized airport management and privatization of the system as a whole (from 2012 to 2014), inefficiencies slightly increased again.

This study aims to analyze the effects of COVID-19 on airlines, airports and the destination Andalusia. On that basis, the study has assessed the bankruptcy of some airlines, closure and reduction of the frequency of air routes, COVID-19 measures at airports by governments, etc., to adapt to new circumstances, be efficient and plan their resources according to the tourist demand.

A review of the relevant literature on the impact of COVID-19 on the aviation industry, airports and tourism sector are undertaken to understand the link between them. The paper begins by explaining the effects of the pandemic on the aviation industry and discusses its impact in the Andalusian region. Furthermore, this study uses secondary data from IATA, AENA, EUROCONTROL, INE, OAG, UNTWO, etc., to support research results.

The results of the effects of the pandemic in Andalusia are being devastating and this destination is heavily dependent on tourism. The drastic drop in flight frequencies at airports during the pandemic has caused an average decrease of −65% in passenger arrivals at airports until October 2020 that is 23 million passengers, too many passengers for the Andalusian economy, which depends mainly on the tourism sector.

The study contributes toward assessing the COVID-19 effects on the aviation industry and tourist destinations. Both sectors will re-emerge in the medium term and at different speeds in different regions. The contribution of this study is essential for managers and operators of airlines, airports and tourist destinations to make better future decisions.

COVID-19 对安达卢西亚旅游业和航空业的影响

本研究旨在分析COVID-19对航空公司、机场和目的地安达卢西亚的影响。在此基础上, 研究评估了部分航空公司破产、关闭和减少航线班次、政府在机场采取的COVID-19措施等, 以适应新形势, 提高效率, 按需规划资源。

审查了关于COVID-19对航空业、机场和旅游部门影响的相关文献, 以了解它们之间的联系。文章首先解释了这一流行病对航空业的影响, 并分析了其对安达卢西亚地区的影响。本研究采用IATA、AENA、EUROCONTROL、INE 、UNTWO、OAG等机构的二手数据来支持研究结果。

安达卢西亚大流行的影响结果是毁灭性的, 这个目的地严重依赖旅游业。大流行期间, 机场的航班频次急剧下降, 导致安达卢西亚6个机场到2020年10月的旅客数量平均下降了−65%, 即2300万人次, 对于主要依靠旅游业的安达卢西亚经济来说, 旅客数量太多。

该研究有助于评估COVID-19对航空业和旅游目的地的影响。这两个行业将在中期内重新崛起, 并且在不同地区以不同的速度发展。本研究的贡献对于航空公司、机场和旅游目的地的管理者和经营者来说是非常必要的, 可以让他们在未来做出更好的决策。

Los efectos del COVID-19 en el turismo y sector aéreo andaluz

Este estudio tiene la finalidad de analizar los efectos del COVID-19 en las aerolíneas, aeropuertos y el destino Andalucía. Sobre esta base, el estudio ha valorado la quiebra de algunas aerolíneas, el cierre y reducción de la frecuencia de rutas aéreas, las medidas COVID-19 en los aeropuertos por parte de los gobiernos, etc., con la finalidad de adaptarse a las nuevas circunstancias, ser eficientes y planificar sus recursos según la demanda.

Se realiza una revisión de la literatura relevante sobre el impacto del COVID-19 en la industria de la aviación, los aeropuertos y el sector turístico para comprender el vínculo entre ellos. El artículo comienza explicando los efectos de la pandemia en la industria de la aviación y analiza su impacto en la región de Andalucía. Este estudio utiliza datos secundarios de IATA, AENA, EUROCONTROL, INE, OAG, UNTWO, etc., para respaldar los resultados de la investigación.

Los resultados de los efectos de la pandemia en Andalucía están siendo devastadores y este destino depende en gran medida del turismo. La drástica caída de la frecuencia de vuelos en los aeropuertos durante la pandemia ha provocado un descenso medio del −65% en las llegadas de pasajeros en los seis aeropuertos andaluces hasta octubre de 2020, es decir, 23 millones de pasajeros, demasiados pasajeros para una economía andaluza que depende principalmente del sector turístico.

El estudio contribuye a evaluar los efectos del COVID-19 en el sector aéreo y los destinos turísticos. Ambos sectores resurgirán a medio plazo y a distintas velocidades en diferentes regiones. La contribución de este estudio es fundamental para que los gestores y operadores de aerolíneas, aeropuertos y destinos turísticos tomen mejores decisiones futuras.

Airports are limited in terms of capacity. Particularly, runways can only accommodate a certain number of movements (arrivals and departures) while ensuring safety and determined operational requirements. In such a constrained operating environment, any reduction in system capacity results in major delays with significant costs for airlines and passengers. Therefore, the efficient operation of airports is a critical cornerstone for demand and delay management of the whole air transportation system. Runway scheduling deals with the sequencing of arriving and departing aircraft at airports such that a predefined objective is optimized subject to several operational constraints, like the dependency of separation on the leading and trailing aircraft type or the runway occupancy time. This study aims to develop a model that acts as a tactical runway scheduling methodology for reducing delays while managing runway usage.

By considering real airport performance data with scheduled and actual movements, as well as arrival/departure delays, this study presents a robust model together with an optimization algorithm, which incorporates the knowledge of uncertainty into the tactical operational step. The approach transforms the planning problem into an assignment problem with side constraints. The coupled landing/take-off problem is solved to optimality by exploiting a time-indexed (0, 1) formulation for the problem. The Binary Integer Linear Programming approach allows to include multi-criteria and multi-constraints levels and, even with some major simplifications, provides fewer sequence changes and target time updates, when compared to the usual approach in which the plan is simply updated in case of infeasibility. Thus, the use of robust optimization leads to a protection against tactical uncertainties, reduces delays and achieves more stable operations.

This model has been validated with real data from a large international European airport in different traffic scenarios. Results are compared to the actual sequencing of flights and show that the algorithm can significantly contribute to the reduction of delay, while adhering as much as possible to the operative procedures and constraints, and to the objectives of the airport stakeholders. Computational experiments performed on the case study illustrate the benefits of this arrival/departure integrated approach: the proposed algorithm significantly reduces weighted aircraft delay and computes efficient runway schedule solutions within a few seconds and with little computational effort. It can be adopted as a decision-making tool in the tactical stage. Furthermore, this study presents operational insights regarding demand and delay management based on the results of this work.

Scheduling arrivals and departures at runways is a complex problem that needs to address diverse and often competing considerations among involved flights. In the context of the Airport Collaborative Decision Making programme, airport operators and air navigation service providers require arrival and departure management tools that improve aircraft flows at airports. Airport runway optimization, as the main element that combines airside and groundside operations, is an ongoing challenge for air traffic management.

This study aims to analyze the relationship between Málaga’s airport, air transport, companies and the local economy.

It is a bibliographic study, and it uses secondary data from Aeropuertos Españoles y Navegación Aérea, Instituto de Estadística y Cartografía de Andalucía, España Exportación e Inversiones, Instituto Nacional de Estadística and International Air Transport Association to support research results. The investigation has reviewed and collected data on the specific paradigm of research which discusses, investigates and evaluates the impact of the Málaga Costa del Sol airport and its regional context.

The results of this study suggest that Málaga Costa del Sol airport promotes an increase of the establishment of companies in the city and how this plays an important role in the tourist, air cargo and logistics development and Málaga local economy. This is a great opportunity for companies and Destination Marketing Organizations (DMOs) help add value to local products, bet on tourist quality and design customized products with high added value, as long as the pandemic lasts, and everyone is vaccinated.

The contribution of this study is double. To the best of the author’s knowledge, this study shows for the first time to Málaga Costa del Sol airport such as a multifunctional airfield (tourist-cargo-logistics-accessible) and not only as tourist airport. Second, this study shows the influence of Málaga airport in the establishment of large national and international companies in the city of Málaga and urban development. Furthermore, this paper contributes to the literature by presenting new evidence on the spatial spillover effects of airports on economic development in cities.

This paper aims to investigate the nature of what is referred to as the Knowledge Management Engineering & Maintenance Program, which is based on practices that influence the dissemination of knowledge in a structured and sustained manner within a small-sized airport. The air transport system has undergone important changes, particularly in the development of new knowledge management (KM) approaches. In practice, however, results have been mixed. Some programs have been successful, but implementation failures are common and the intended users are frequently reluctant to use such management structures. A possible explanation for efficiency and effectiveness gaps of services provided by these knowledge structures may relate to the advantages and disadvantages of the knowledge processes that airports highlight as a result of their differential structural properties.

Using data collected from the Engineering & Maintenance Department at a Spanish Airport, this work has examined how the existence of some knowledge structures is linked to knowledge transfer and how this component is linked to customer service (external users, e.g. passengers; and internal users, including any airport staff).

This paper reports a KM program, which is customized and based on four knowledge structures: technical infrastructure; people to facilitate and drive the process; a system that supports and rewards sharing; and the team leader.

Conducting this type of single case study (an interview-based case study approach) is to be understood foremost as a prelude to further quantitative studies including common measures for passengers and users, staff, managers and board members.

In an applied sense, the model provides engineering and maintenance practitioners with identifiable factors, which enable the four frameworks and address the relevant issues by changing strategies at both the individual and the organizational levels. Without a KM program, practitioners may lose the ability to see the market signals stemming from the transport system members and they may decide to go solely by their own ways of doing and interpreting things.