Public,private and mixed ownership and the performance of international airlines

Many airlines are neither completely public nor private enterprises but have hybrid or mixed public-private ownership. Theory and evidence regarding the performance of private, public and mixed ownership are addressed in the context of the international airline industry. The study empirically examines the influence of an airline's ownership structure on multiple dimensions of its performance. In general, the results indicate that public sector airlines under-perform relative private sector airlines. In addition, we find that airlines with mixed ownership tend to perform better than public sector airlines, but worse than private sector carriers.     

Three-stage airline fleet planning model

One of the main factors affecting airline success is bringing supply and demand as closely together as possible. In order to achieve this goal, an airline needs to adopt an appropriate methodological approach for the fleet planning process. Selection of an aircraft for operating a defined route network is a key element which has a direct impact on the increase of an airline's profitability and on the reduction of an airline's costs. The objective of this paper is to develop a robust model for fleet planning that deals with both fleet size and fleet composition problems for airlines operating on short haul and medium haul routes. The three-stage model for fleet planning involves approximate fleet composition, fleet sizing and aircraft type selection based on fuzzy logic, heuristic and analytic approaches, and multi-criteria decision making, respectively. This model is exemplified with a hypothetical airline based at Belgrade Airport.     

Airline emissions charges and airline networks

Emissions charges are an effective tool to control aviation carbon dioxide emissions. This paper investigates how airline emissions charges affect a monopoly airline's network choice. By considering simultaneously fully-connected, hub-spoke and mixed networks, we find that the impact of emissions charges on airline network configuration depends crucially on some relevant parameters, for example, the marginal benefit of the reduction of schedule delays and the disutility of additional travel time of connecting flights. Welfare analysis shows a discontinuity in the network configuration from the social planner's perspective and an inefficiency related to the airline's choice on mixed network.     

Airline fuel usage and carbon emissions: Determining factors

Using annual data on individual US airlines over the 1995–2015 period, this paper presents regression results relating an airline's total fuel usage to seven variables: the available ton miles of capacity (passengers plus freight and mail) provided by the airline; the average seat capacity of its aircraft, average stage length (flight distance); average load factor (measured by weight); the average vintage (construction year) of its aircraft; the percentage of the airline's flights that are delayed; and the average annual fuel price. The results show how fuel usage and carbon emissions depend on a small set of crucial variables. The estimated fuel-price effect allows the emissions impact of an optimal emissions charge to be computed, and the estimated delay effect shows the emissions impact of an industry-wide reduction in flight delays. The regression model is generated from a theoretical framework.     

Grounded: Characterising the market exit of European low cost airlines

The aim of this paper is to undertake a comprehensive study of low cost carrier (LCC) market entry and exit in Europe between 1992 and 2012. In the 20 year period between 1992 and 2012, 43 LCCs have taken advantage of the progressive liberalisation of the European aviation market and commenced scheduled flight operations within the continent. Of these 43, only 10 remain operational, a failure rate of 77%. This paper contributes to extant literature on LCCs by examining the market entry, business practices, operating longevity and fate of failed operators to characterise European LCC market exit. Drawing on the findings of a detailed continental-wide study, the paper identifies that an airline's start-up date, the nature and size of its operation and the size and composition of its aircraft fleet are key factors which influence LCC success and failure. The implications for both European and emerging LCC markets are discussed.     

An empirical analysis of the optimal overbooking policies for US major airlines

Overbooking in the airline industry has been studied intensively. However, these studies have paid little attention to the future revenue implications of rejecting (bumping) passengers. This paper seeks the optimal overbooking policies for US major airlines by considering how denied-boarding passengers would behave after they are bumped. The results imply that overbooking improves an airline's “current” revenue, but it also reduces the airline's future revenues. The results also imply that, although there is a significant negative overbooking effect, no airline should decrease overbooking levels because the positive side of overbooking is so strong that it more than offsets its negative side.     

Determinants of wave-system structures of network airlines at hub airports

This paper attempted to analyze the factors influencing the existence and configuration of wave-system structures of large network airlines at hub airports based on the statistical data of daily flight schedules. A bootstrapped binary logistic regression model was used to analyze the relationship between wave-system structure and its influential factors. Further, a partial least squared regression model was employed to uncover the determinants of wave-system structures' configuration. It is found that the interaction effects of two types of flight rates positively determine the existence of a wave-system structure, and the rate of airline's daily flights had the biggest impact on the configurations of wave-system structures.     

An empirical investigation of European airline business models: Classification and hybridisation

Airline business models are evolving and what was once a clear distinction between low-cost carriers (LCCs) and full-service carriers (FSCs) is now less apparent. LCCs and FSCs are merging into new hybrid carrier business models, a convergence accomplished in different ways by various airlines. This paper aims to establish how many types of business models exist and to examine the defining characteristics of the various levels of hybridisation. This is an empirical study based on a sample of 49 European airlines. Data are collected in a categorical format, where appropriate, or transformed into categorical variables if numerical. The methodology employed for analysis is the well-established k-modes technique. The clustering process indicates that there are four observable airline categories: FSCs, LCCs, and two hybrid types in between.     

The evolving low-cost business model: Network implications of fare bundling and connecting flights in Europe

In a context of limited organic growth, some low-cost airlines have considered business strategies that are changing two key principles of the low-cost airline business model: fare unbundling and point-to-point operations. Using a multivariate analysis we identify the influence of several route characteristics on the share that European pure low-cost and hybrid low-cost carriers have on the routes they operate. Results show that, from a network perspective, the distance between the archetypical low-cost carrier business model and the adapted low-cost carrier business model with a hybrid approach is widening. Differences are also clear between hybrids offering connecting services and hybrids offering fare bundling. The results are also important from an airport policy perspective, since secondary airports and legacy airports in transition could be able to reduce the gap between them and the main hub airports.     

The impact of an aircraft's service environment on perceptions of in-flight food quality

Airlines are currently striving to improve the quality and quantity of in-flight food, because research has shown that catering is a key attribute for a customer's satisfaction with airline service quality. But the role of an airline's service environment in forming customer perceptions about food quality has not yet been properly investigated. Using electronic word-of-mouth data from N = 3996 airline passengers, this study deploys a linear regression model at multiple levels to relate perceived in-flight food quality with both the overall service environment and its formative components. The results clearly unveil the importance of an aircraft's service environment on perceived in-flight catering quality; perceptions of food quality are primarily influenced by the quality of cabin staff service, followed by entertainment and seat quality. Instead of continuing with the current practice of signing up top chefs to improve menus, airlines may instead consider putting their management focus on service improvements.     

The impact of carbon emission fees on passenger demand and air fares: A game theoretic approach

The implementation of an environmental market-based measure on U.S. aviation industry is studied. Under this policy, each airline pays a carbon fee for the carbon dioxide emissions it generates. The impact on ticket prices and corresponding market shares is investigated via the joint estimation of an air travel demand model and an airlines' behavior model. In the demand model, aggregate air traffic data is used to determine the marginal effects of flight attributes that are specific to itinerary, airline and airport on market share. The airline's behavior model incorporates the carbon fee in the airline marginal cost. After the implementation of the carbon policy, the increased cost forces airlines to adjust ticket prices in order to maximize profits. The results obtained by the proposed model indicate a moderate price increase which strongly depends on the per tonne carbon price. Air travel demand falls from 2.4% to 21% depending on the carbon price level.     

A robust mathematical model and heuristic algorithms for integrated aircraft routing and scheduling,with consideration of fleet assignment problem

One of the most important airline's products is to determine the aircraft routing and scheduling and fleet assignment. The key input data of this problem is the traffic forecasting and allocation that forecasts traffic on each flight leg. The complexity of this problem is to define the connecting flights when passengers should change the aircraft to reach the final destination. Moreover, as there exists various types of uncertainties during the flights, finding a solution which is able to absorb these uncertainties is invaluable. In this paper, a new robust mixed integer mathematical model for the integrated aircraft routing and scheduling, with consideration of fleet assignment problem is proposed. Then to find good solutions for large-scale problems in a rational amount of time, a heuristic algorithm based on the Simulated Annealing (SA) is introduced. In addition, some examples are randomly generated and the proposed heuristic algorithm is validated by comparing the results with the optimum solutions. The effects of robust vs non-robust solutions are examined, and finally, a hybrid algorithm is generated which results in more effective solution in comparison with SA, and Particle Swarm Optimization (PSO).     

Measuring the LCC effect on charter airlines in the Spanish airport system

Using a robust transfer function model methodology, the present paper seeks to offer empirical evidence regarding the size and type of effects that low-cost carriers (LCCs) have had on traffic for charter carriers (CCs) in the Spanish airport system by geographic market. We show an unmistakable substitution relationship between CCs and LCCs in the latter's typical niche markets, national and European flights, while there is no reaction from the CCs in the segment of international flights outside the EU. Furthermore, substitution effects are smaller between CCs and LCCs on the domestic level than effects between LCCs and network carriers (NCs) and slightly larger on the European level. Lastly, CC traffic's different sensitivity to terrorist attacks, day of the week, air accidents and the economic crisis is also evident. CCs should therefore be considered an independent category that warrants individualized analyses.     

Detecting passengers' heterogeneity on airlines’ services using SP data

In this paper, the heterogeneity in passengers' perceptions of airlines' services has been investigated by using a Random Parameter Mixed logit model. To calibrate and validate the proposed model, data from a Stated Preferences choice experiments was used. The survey was conducted online and involved the whole population of the University of Calabria (Italy). The experiments were designed by considering the main service attributes characterizing air travellers’ experience in its entirety: before, during, and after the flight. Differently from the previous studies using Stated Preferences survey, two different groups of choice experiments were designed: the former referring to before/after the flight stages, and the last referring to during the flight experience. For each group, specific attributes were considered.Final findings remark that flyers' perceptions on airline's services vary among the different service aspects and among individuals. Specifically, we found that curtesy of cabin crew, space available, temperature, cleanliness, service on board and ticket cost are attributes referring to the during the flight stage of the travel that showed heterogeneity in passenger's perceptions. On the contrary, the attributes referring to the before/after the flight stages for which we detected heterogeneity in passengers' perceptions are waiting time at check-in, delay of flight departure, and ticket cost.     

The emergence and effects of the ultra-low cost carrier (ULCC) business model in the U.S. airline industry

The effects of “low cost carriers” (LCCs) such as Southwest Airlines and JetBlue Airways on the competitive landscape of the U.S. airline industry have been thoroughly documented in the academic literature and the popular press. However, the more recent emergence of another distinct airline business model—the “ultra low cost carrier” (ULCC)—has received considerably less attention. By focusing on cost efficiencies and unbundled service offerings, the ULCCs have been able to undercut the fares of both traditional network and low-cost carriers in the markets they serve.In this paper, we conduct an analysis of ULCCs in the U.S. aviation industry and demonstrate how these carriers' business models, costs, and effects on air transportation markets differ from those of the traditional LCCs. We first describe the factors that have enabled ULCCs to achieve a cost advantage over traditional LCCs and network legacy carriers. Then, using econometric models, we examine the effects of ULCC and LCC presence, entry, and exit on base airfares in 3,004 U.S. air transportation markets from 2010 to 2015. We find that in 2015, ULCC presence in a market was associated with market base fares 21% lower than average, as compared to an 8% average reduction for LCC presence. We also find that while ULCC and LCC entry both result in a 14% average reduction in fares one year after entry, ULCCs are three times as likely to abandon a market within two years of entry than are the LCCs. The results suggest that the ULCCs represent a distinct business model from traditional LCCs and that as the ULCCs grow, they will continue to play a unique and increasingly important role in the U.S. airline industry.     

A comparative performance analysis of airline strategic alliances using data envelopment analysis

As “open skies” agreements became more common among different countries and thus began to open up international routes to further competition, the global airline industry has undergone accelerated structural changes for the last two decades. These changes include the consolidation and expansion of airline strategic alliances throughout different regions of the world. Though airline strategic alliances are generally perceived to be a major driver for enhancing the operating efficiency and the subsequent competitiveness of participating member airlines, the concrete evidence supporting such a perception is still lacking in the literature. This paper is one of few attempts to evaluate the comparative efficiency of the strategic alliances among global airlines and then assess the managerial impact of airline alliances on the airline's comparative performances.     

Do low cost carriers have different corporate governance models?

In this paper, we investigate whether different business models in the same industry (passenger air transportation) lead to different corporate governance models. We found that low-cost carriers organise their boards differently from full service carriers to achieve lower costs and a faster decision-making process that is required by their business model. We also found that low-cost carriers and full service carriers solve their potential agency cost problems differently and that full service carriers have more board monitoring committees, and low-cost carriers have a closer coincidence of interests between shareholders and executive directors.     

Optimizing the benefits of urban road user charging

Traffic congestion is a feature of most modern cities but attempts to control it or limit its effects have met with only modest success. There is significant and continuing interest in the concept of charging city vehicle users, although apart from the use of parking charges actual operational schemes are few and far between. In this paper, we compare three alternative charging policies using a simplified model of travel demand and supply, which we combine with cost benefit techniques. The charging policies are area-based charging in which users pay to locate in or enter an area, terminal-charging based on supplementary parking fees in residential and non-residential locations and distance-based charging which is a charge related to how far users travel. The model allows for behavioural effects resulting from trip diversion and demand suppression, as well as capacity restraint (speed-flow feedback effects based on limited route capacity). In the case study, we parameterize the model using data and geographical dimensions based on London. We show that area based charging delivers the least benefits whilst a hybrid policy based on terminal and distance-based charges delivers the most. Because it is of topical interest, we compare our results and predictions with the Mayor's strategy for London, which is an area-based scheme. We conclude that the revenue generated using a hybrid policy would be as great as for an area based scheme whilst at the same time delivering substantially greater benefits to road users in terms of travel time and other savings.     

Introducing connecting flights in LCCs' business model: Ryanair's network strategy

In light of the ‘hybridization’ process characterizing airlines' business models, this work contributes to the literature by analyzing the rationale underpinning the decision to introduce connecting flights into the typical point-to-point networks of low-cost carriers (LCCs). By referring to the network of the largest European LCC, Ryanair, we provide evidence on how its new inter-connecting strategy is influenced by market, supply, and leg characteristics. Applying a probit model, results suggest that Ryanair is offering connecting flights on both non-directly offered markets and on markets that it already serves directly. The likelihood to observe a connecting flight increases at higher level of legs' frequency and at lower levels of Ryanair's legs' market share. Eventually, this new connecting strategy is negatively correlated with market distance, routing factor, direct frequency, and Ryanair's current O&D market share.     

The carrier-within-a-carrier strategy: An analysis of Jetstar

The carrier-within-a-carrier (CWC)—or “airline-within-an-airline” (AWA)—approach has become an integral part of many airlines' marketing strategies in the Asia–Pacific region where several full-service national airlines operate low-cost/low-fare subsidiary airlines. The CWC approach is a response to competition from low-cost carriers based on product differentiation, i.e., a ‘two brands’ business strategy aimed at defending market share. Most CWCs were established after 2001 as a response to deregulation and liberalization and generally adhere to the principals of low-cost/low-fare carriers. Typically, CWCs enter markets through new, point-to-point services and operate short-haul routes (one-to 2-h flying times) that might have been abandoned by full-service airlines (FSAs), whereas at other times they simply compete directly with FSAs on price. This paper analyses Jetstar, a subsidiary of Qantas, which has transitioned from a domestic CWC to an international medium- and long-haul carrier. In addition to its domestic Australian operations, Jetstar operates between Australia and the Asia–Pacific region and has established partnership arrangements operating within Asia, including Jetstar Asia (based in Singapore), Jetstar Vietnam and Jetstar Japan. Jetstar also has operations in New Zealand. The theoretical framework applied in this paper is based on the strategic windows concept, in which opportunities arise and a window opens, and Tregoe and Zimmerman's (1980) ‘driving forces’ model, in which nine attributes are listed and certain of these are exemplified by Qantas' strategy. The methodology adopts a case study approach that draws upon content analysis and ‘events in the making’ and features interviews with key respondents. The findings show that Jetstar disproved earlier criticism of the CWC strategy and further demonstrate that by careful planning, strategy and execution, Jetstar has been able to grow its capacity, maintain high load factors, increase revenue and (more importantly) increase profitability at a time when many airlines are consolidating or withdrawing services because of losses.