Traveler perceptions and airline choice: A multivariate probit approach

We investigate the factors that affect passenger decisions regarding airline choice. Three Multivariate Probit (MP) models are developed to analyze data for a sample of 853 respondents. This methodology allows for modeling the simultaneous, yet separate, consideration of airline choice determinants. Fare, safety and reliability, and friendly-and-helpful staff during flight are the most important determinants of airline choice. In-flight entertainment and frequent flyer program are considered to be less important. Results clearly depict differences in the significance of these factors among passengers with different socio-demographic and trip characteristics.     

An investigation of service quality,customer satisfaction and loyalty in China's airline market

Customer loyalty is a source of competitive advantage and an important intangible asset to any organisations, but empirical evidence from China's airline market regarding the determinants of passenger satisfaction and loyalty is lacking. This paper investigates the service quality of four major airlines in China's domestic market and explores the links between their service quality and customer satisfaction, as well as the conditions under which airlines can retain existing passengers. In line with previous studies, service quality variables are significant factors influencing customer satisfaction levels. However, satisfactory service was not found to result in higher customer loyalty among business travellers. In comparison to Hainan Airlines, passengers who travelled with Air China, China Southern and China Eastern were more likely to switch to an alternate carrier, indicating lower levels of brand loyalty. In addition, the frequent flyer programs (FFPs) have been largely a failure for the four major airlines in terms of increasing customer loyalty, as revealed in this study. It is necessary to draw distinctions between business and leisure travellers when studying the determinants of customer satisfaction and customer loyalty. Ticket pricing had a positive and significant effect on passengers' overall satisfaction and in turn strengthened customer loyalty among leisure travellers, but achieved no impact on the satisfaction and loyalty of business passengers. Some demographic variables such as gender, income and education are statistically significant for one group of passengers but not for another in the probit models estimated. It is suggested that different marketing strategies may be used to target different market segments to improve customer loyalty.     

Modelling airline flight cancellation decisions

In order to predict airline responses to Traffic Management Initiatives (TMIs), and reveal the underlying preference structures that shape these responses, we study US domestic airlines’ cancellation decisions in response to the Federal Aviation Administration (FAA)’s TMIs, in particular, to Ground Delay Programs (GDPs). By observing the actual flight-cancellation choices made by airline dispatchers, the airlines’ cancellation utility functions can be inferred through the use of binary choice models. The model captures how delays to a given flight and potential delay savings to other flights affect flight cancellation decisions. We also find larger, fuller, less frequent, shorter-distance, and spoke-bound flights are less likely to be cancelled, and that there is inter-airline variation in flight cancellation behaviour.     

The choice of air carrier, flight, and fare class

This paper reports the development and interpretation of air traveler choice models to gain insights into the tradeoffs air travelers make when they choose among different carriers, flights, and fare classes. Such insights can be used to support carrier decisions on flight scheduling, pricing, seat allocation, and ticket restrictions. This paper develops a conceptual framework and applies it to the choice of carrier, flight, and fare class as a basis for analyzing air travel demand in a competitive market. Model estimation results are used to quantify the importance of carrier preferences, market presence, quality of service, frequent flyer program membership, schedule convenience, and fares on carrier travel demand. The empirical results provide measures of the premium that business and leisure travelers are willing to pay to avoid schedule delays, to choose a carrier in which frequent-flyer program they participate, and to obtain the amenities and freedom from travel restrictions associated with higher fare classes.     

An analysis of traveler need for and willingness to purchase airline dynamic packaging: A Korean case study

This study analyzes (1) the need among air travelers for commission-based ancillary products and services from airline websites via dynamic packaging and (2) the willingness to purchase them. For this purpose, a survey is conducted with 2030 airline customers in Korea. This study aims to provide insights into Korean traveler preference to enable airlines serving Korean customers to formulate and implement successful business strategies that incorporate dynamic packaging into airline websites to expand ancillary revenues. The results confirm that Korean travelers demonstrate the need for and willingness to purchase commission-based ancillaries when purchasing tickets from airlines. On average, commission-based ancillary products are positively received by respondents. Airport transfers (e.g. rail and shuttle services), foreign currency exchange offers, and travel insurance are the most popular. Female travelers, travelers in their 20s, and frequent travelers (10 + times a year) report a significantly higher need for and willingness to purchase a set of commission-based ancillaries with flights from airline websites. Willingness to purchase third-party products from airlines is higher than in previous studies, and the preference rankings also differ. This study supports the viability of commission-based ancillary offerings from airline websites targeting Korean travelers. It shows the potential for airlines to successfully upsell and cross-sell via dynamic packaging strategies, one of the first steps toward becoming competitive travel retailers.     

Adoption and loyalty toward low cost carriers: The case of Taipei–Singapore passengers

This study explores the determinants for the duration of airline passengers to adopt a low cost carrier (LCC) and their loyalty toward the LCC. The analysis results of travel information on 338 passengers traveling between Taipei and Singapore show that business passengers take longer duration to accept the LCC. Cheaper fares and convenient booking channels can shorten the passenger’s duration to adopt the LCC, whereas airline image and safety consideration can increase the duration. Frequent flyer programs and convenient booking channels can increase the passengers’ loyalty toward the LCC.     

Clustered airline flight scheduling: Evidence from airline deregulation in Korea

This paper explores the impacts of competition level on airline scheduling in the Korean domestic short-haul routes where a hub-and-spoke system is not the optimal air transport network strategy. The empirical findings using the Korean airline panel data for the period 2006–2010 suggest that competition leads to less differentiated departure flight times as expected from spatial competition theory. Unlike the previous study on the U.S airline industry, the degree of this tendency for less differentiation differs across the type of routes: the Jeju island routes (leisure type) and the inland routes (business type), in the deregulated period. Following the May 2008 Deregulation Act we find an increasingly clustered pattern of airline scheduling in the Jeju island routes where there have been competitive pressures associated with new low cost entrants. This recent evidence would imply that airline carriers strategically schedule departure flight times and allocate flights between routes as competition increases in the deregulated period.     

Optimising flight connection times in airline bank structure through Simulated Annealing and Tabu Search algorithms

In hub and spoke airline networks, flight arrivals and departures generally have a bank structure to increase connections among spoke cities through a hub airport in order to provide cheaper service for higher volumes of air traffic. In this study, we introduce the airline bank optimisation problem with a novel mathematical model for improving flight connection times. The mathematical model aims to minimise the total connection times for transfer passengers and generates flight schedules regarding slot capacities in the hub airports. Since the problem is a combinatorial optimisation problem NP-hard and computational complexity increases rapidly for real-world problems, we employ the simulated annealing and the tabu search algorithms to achieve better solutions in a reasonable time. We generate sub-problems using real-world data and investigate the effectiveness of the algorithms. Finally, we present the results of a real case study of a Turkish airline company which has a hub airport connecting the flights between Middle Eastern and European cities.     

The effect of frequent flyer programs: A case study of the Korean airline industry

Frequent flyer programs are important for airlines in Korea in their marketing of services. This paper develops a conceptual model to investigate the effect of such programs by examining the relationships them and, airline service quality, pricing, passenger satisfaction, airline image, and airline selection. Path analysis is used to analyze data collected from Korean international air passengers. The results show that frequent flyer programs have direct and indirect effects on pricing, passenger satisfaction, airline image, and airline selection. In addition, their effects on passengers' selections are significantly different between Korean and foreign airlines.     

The impact of airline service quality on passengers’ behavioral intentions using passenger satisfaction as a mediator

This research study measures the perception of airline service quality based on data collected from Pakistan International Airline (PIA) passengers using SERVQUAL. It investigates the impact of service quality dimensions on passenger's behavioral intentions in presence of mediator (passenger satisfaction). The data is collected through an adopted SERVQUAL instrument from the respondents in the domestic and International waiting lounges of PIA. The data is analysed using reliability statistics, correlation analysis and through hierarchal regression analysis. A systematic random sampling technique is used to analyze the study sample and PROCESS macros was used to run mediation analysis. The results reveals that passenger's satisfaction mediates the relationship between airline service quality and behavioral intentions. Practically, PIA should not only improve on Service Quality but should build up quality consciousness among on ground and inflight employees; pay attention to reliable factors and establish customer goodwill through enhanced services; regard reliability factors and enhance employee accomplishment. Implications of these results for management policy and practice are highlighted as guidelines. PIA managers can now better understand the importance of service quality and its long-term benefits in the form of customer loyalty.     

A global model for estimating the block time of commercial passenger aircraft

This paper uses a two-stage statistical model to estimate the block time of commercial passenger aircraft. The model considers many of the factors contributing to airport congestion and provides a basis for future development of multivariate statistical models of the flight operation process. The model is tested using 2 million US domestic flights by six airlines in 2004. Model analysis provided insight regarding the relative impact of weather conditions and airport utilization on block time. In particular, population, arrival time, airport utilization, ice, and the interaction of poor weather conditions and traffic were found to be significant predictors of block time.     

Integrating frequent flyer programs in multilateral airline alliances

Forming branded alliances has become a common strategy in the airline industry. These can be defined as ‘multilateral alliances’ as opposed to bilateral alliances. Limited attention has been paid to assessing the impact of multilateral alliances on complex sub-networks, such as distribution networks, cargo alliances and frequent flyer programs. These sub-networks are ‘derivative networks’ within multilateral alliances. These derivative networks create several dilemmas as they evolve causing airline managers to confront fundamental questions regarding harmonization, conflict resolution, and organizational structure.     

The economics and geography of regional airline services in six countries

Do the determinants of service and pricing on “regional” routes – linking towns and smaller cities to main trunk routes and/or to each other – differ from the established results from the literature? We study all flights (about 3000) on all regional routes (about 250) with scheduled airline service from one of about 130 regional towns or cities, in regional airline markets in six countries: Australia, Canada, New Zealand, Norway, Sweden, and a sample of three U.S. states which closely resemble the other regions studied. For each flight we have observations on up to five prices offered at different times before flight date. We also have equipment type and social-economic data. Overall, our results give qualified support to the standard gravity model of the extent of service between city pairs, though with two interesting differences: operators on regional routes have greater flexibility in the size of aircraft they can deploy, which results in a finer-grained variability of service offerings and, the presence of competition on regional routes has a large effect on the total supply of seats. We are able to successfully estimate a well-specified airfare model, which shows strong effects of competition on prices, quite substantial intertemporal price discrimination, and interesting differences between regional and main trunk route pricing.     

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.     

Airline frequent flyer programs: equity and attractiveness

The scheme of a frequent flyer program describes how travelers accumulate and redeem their frequent flyer miles in the program, and determines the amount of benefits travelers can receive from the program (e.g., number of free trips). In the US, there are three basic types of frequent flyer program schemes (standard, discount, and non-mileage schemes). This paper investigates, by type of traveler, which scheme is most (or least) attractive to customers, so that each airline can select the most appropriate (or attractive) scheme for its target audience. The study results imply that the “non-mileage” scheme may be most attractive to travelers with low average trip miles (flown miles per trip), while the “standard” scheme may be most attractive to travelers with high average trip miles.     

An analysis of the greenhouse gas emissions profile of airlines flying the Australian international market

International commercial flights (with the exception of flights between countries in European Union including Iceland, Norway and Liechtenstein) are currently not subject to greenhouse gas emission reduction regulation. To formulate effective and efficiency policy to manage greenhouse gas emissions from air transport, policy makers need to determine the emissions profiles of all airlines currently flying into their country or region. In this paper, we use 2012 data on airlines' aircraft characteristics, passenger load and cargo load (obtained from statistics reported by Australian Government Bureau of Infrastructure, Transport and Regional Economics) to estimate the volume and carbon efficiency on each international route flying to and from Australia. This is the first study to use actual passenger and cargo load data to determine the greenhouse gas (specifically CO₂) efficiency of airlines operating in the Australian international aviation market. Airlines' CO₂ emission profile is dependent on many factors including but not limited to the aircraft used, payload, route taken, weather conditions. Our results reveal that the airlines’ CO₂ emission profile is not only dependent on the aircraft used and the number of passengers but also the amount of cargo on each flight.     

Calculating load factors for the transatlantic airline market using supply and demand data – A note on the identification of gaps in the available airline statistics

This paper takes a critical view of the verification of load factors for the direct transatlantic airline market by combining supply and demand-data. The supply-related data originate from the Official Airline Guide, a well-known data source that contains information on scheduled flights. The demand-related data originate from the Marketing Information Data Transfer database, a data set containing information on actual airline bookings. Combining both data sets enables us to calculate the seat occupancy of direct flights between North-West Europe and the US for 2001. Based on the results, we assess the utility of the joint use of these data sources for aviation economic research, and identify various gaps in the available airline statistics.     

Airline choice and tourism growth in the Azores

This study examines the effect of airline choice on tourism growth in the Azores. The results reveal that tourism numbers increased sharply as more alternative choices emerged to visitors after the entrance of low-cost carriers due to airline liberalization. Moreover, different airline types attract different kinds of visitors, contributing to tourism diversification. In particular, low-cost airline tourists are younger than those who travel in full-service airlines or charter flights. They are also more likely to buy a last-minute ticket and to come from Iberian and French markets. Charter flights, however, are important choices for those traveling to the Azores from more distant markets such as Sweden and Denmark.     

Recovering costs through price and service differentiation: Accounting for exogenous information on attribute processing strategies in airline choice

The entry of low cost airlines has thrown out a challenge to all airlines to find ways of attracting passengers, through a mix of fare discounting, greater frequency, improved flight times and no-frill's levels of on-board service. These competitive strategies have an impact on cost recovery. As airlines seek business in an increasingly heterogeneous passenger market, a greater understanding of what matters to potential passengers in choosing an airline grows in importance. Traditional studies of passenger airline choice assume that all attributes matter, but some to a lesser extent. What happens to the empirical evidence on willingness to pay when specific attributes are totally ignored by particular passengers? In this paper, we examine the impact of individual-specific attribute processing strategies (APS) on the inclusion/exclusion of attributes on the parameter estimates and behavioural outputs of models of airline service and fare level choice. Modelling practice assumes that whilst respondents may exhibit preference heterogeneity, they employ a homogenous APS with regards to how they process the presence/absence of attributes of stated choice (SC) experiments. We demonstrate how information collected exogenous of the SC experiment on whether respondents either ignored or considered each attribute of the SC task may be used in the estimation process, and how such information may be used to provide outputs that are attribute processing strategies segment specific.     

Evaluating frequent flyer programs from the air passengers' perspective

Frequent flyer programs are used as a common strategy in the airline industry. They can be defined as a service quality attribute that consists of some redemption of free flight miles and can determines the selection of airlines. It has been argued that they can act as an entry barrier, but limited attention has been paid to assessing the impact of this strategy on passengers’ perceptions of service. They are generally part of broad airline service quality parameters and thus can creates dilemmas for airline managers, passengers and regulators regarding their added value, costs and competitive effects on industrial organization.