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.     

A study on passengers' airport choice behavior using hybrid choice model: A case study of Seoul metropolitan area,South Korea

Improving explanatory power is significantly important to understand variables that affect attitudes and perceptions in the decision process. This paper estimates not only tangible attributes but also intangible perceptions and attitudes using a hybrid-choice model to study air passengers' flight choice behavior. The empirical study was conducted for the choice behavior of air passengers at Seoul Metropolitan Area, South Korea. The analysis uses a two-level Nested Logit model in order to examine which factors have more effect on passengers’ choice of airport and airline simultaneously by using airport and airline choice attributes. The study also estimated the parameters in the equations relating the latent variable by using Structural Equation Model (SEM). The results indicate that the models with latent variables have improved Goodness-of-Fit when compared to classical discrete choice models and effectively capture psychological factors that affect choice behavior of passengers.     

A study on the importance of airline selection attributes by airline type: An emphasis on the difference of opinion in between Korean and overseas aviation experts

The main purpose of this research is to understand the relative importance of airline selection attributes that are considered important by passengers when selecting an airline. Specifically, we analyzed how the attribute selections differed based on airline types, a Full Service Carrier (FSC) and a Low Cost Carrier (LCC). For this purpose, a Delphi analysis was performed with 34 Korean aviation experts and 32 overseas aviation experts as the target sample groups. Statistical tests including Mann-Whitney U Test and Wilcoxon Signed Rank Test, were used to analyze the selection attributes. In the case of FSCs, safety, flight schedule, cabin interior, and fast check-in processes were considered to be important selection attributes whereas for LCCs, air fare level, flight safety, the convenience of air ticket purchasing procedures, and additional charges were considered to be the important selection attributes. Additionally, there was a difference in the importance of airline selection attributes depending on whether it was a Korean or overseas aviation market. The result of these findings may be utilized as basic data in establishing a marketing strategy for an airline company to attract more passengers.     

Latent class models of international air carrier choice

This paper uses a market segmentation approach to identify airline passengers’ potential segments and preferences toward international air carriers. The modeling approaches consist of the stated preference method and the latent class model. The stated choice experiments were designed based on service attributes in the international airline choice context. Empirical data was collected from airline passengers who have flown from Taipei to Tokyo or from Taipei to Hong Kong. The latent class model accommodating preference heterogeneity outperforms the multinomial logit model as indication of a better approach to analyze airline choice behavior. The latent class model with individual socioeconomic and trip characteristics in segment membership functions also improved model fit relative to the corresponding latent class model without individual characteristics. The values of willingness to pay for service attribute improvements vary across international air routes and segments. Passengers are willing to pay more for better service quality. In order to develop effective marketing and operational strategies for the international air travel market, this study highlights the importance of exploring airline choice behaviors by routes and segments.     

Exploring the green image of airlines: Passenger perceptions and airline choice

During the last few years there has been an increasing trend for companies to market their products or services as green or environmentally friendly as part of their corporate social responsibility. Few studies have analyzed the effects of this recent focus on the environment and its impact on airline passengers. Therefore, we examine passengers' general attitudes towards the green image of different airlines, perceived differences in eco-friendliness among these airlines, and effects on airline choice during booking. We also investigate how passengers' recent experiences with an airline affect perceived eco-friendliness of that airline. In addition we compare passenger ratings of airline eco-friendliness to those published by independent 3rd parties. Our findings show that the green image of airlines does influence airline choice during booking. We observed a passenger willingness to pay extra for a green image, however, not as much as their willingness to pay extra for amenities, such as additional legroom.     

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.     

The impact of flight delays on passenger demand and societal welfare

US airline passengers increasingly have access to flight delay information from online sources. As a result, air passenger travel decisions can be expected to be influenced by delay information. In addition, delays affect airline operations, resulting in increased block times on routes and, in general, higher carrier costs and airfares. This paper examines the impact of flight delays on both passenger demand and airfares. Delays are calculated against scheduled block times as well as against more idealized feasible flight times. Based on econometric estimations, welfare impacts of flight delays are calculated. We find that flight delays on a route reduce passenger demand and raise airfares, producing significant decreases in both consumer and producer welfare. Since producer welfare effects are estimated to be three times as large as consumer welfare effects, we conclude that from an economic efficiency rationale, airlines should be required to pay for the bulk of flight delay remediation efforts.     

Exploring passenger preferences in airline service attributes: A note

This paper examines passengers' valuations on airline service attributes using stated preference analysis in the direct flight air market between Taiwan and China. An experiment design reflecting the characteristics of low cost airlines is used to collect stated preference data from Taiwanese air passengers. Empirical results reveal not only the implicit values of service attributes but also the preference differences in attributes between business and non-business travelers.     

Model of passenger behavior choice under flight delay based on dynamic reference point

Flight delay has always been a concern of scholars, but in previous studies, there has been little discussion of passenger behavior choice after flight delay. The paper based on the prospect theory, taking the Beijing-Shanghai route as an example, constructs the passenger behavior choice model under flight delay, and in order to explore the decision-making behavior of passengers with different attributes under different delay scenarios. The results show that the reference point of passengers' behavioral decision-making is dynamic due to different delay scenarios and passengers' attributes. For the same reason, passengers have different behavioral choices when encountering flight delay. Through empirical analysis, it is found that the choice of passengers based on prospect theory is in line with the actual choice of passengers. The choice model proposed in the paper can effectively describe the passenger's choice behavior.     

Modelling airport and airline choice behaviour with the use of stated preference survey data

The majority of studies of air travel choice behavior make use of revealed preference (RP) data, generally in the form of survey data collected from departing passengers. While the use of RP data has certain methodological advantages over the use of stated preference (SP) data, major issues arise because of the often low quality of the data relating to the un-chosen alternatives, in terms of explanatory variables as well as availability. As such, studies using RP survey data often fail to recover a meaningful fare coefficient, and are generally not able to offer a treatment of the effects of airline allegiance. In this paper, we make use of SP data for airport and airline choice collected in the US in 2001. The analysis retrieves significant effects relating to factors such as airfare, access time, flight time and airline and airport allegiance, illustrating the advantages of SP data in this context. Additionally, the analysis explores the use of non-linear transforms of the explanatory variables, as well as the treatment of continuous variations in choice behavior across respondents.     

Determinants of passengers’ choice of airline check-in services: A case study of American,Australian, Korean,and Taiwanese passengers

This paper investigates factors that influence whether air travelers’ choose conventional counter or self-service check-in, including kiosk and web check-in. It uses data collected from American, Australian, Korean, and Taiwanese passengers. The data suggests that a passenger’s choice of check-in service is strongly dependent on nationality and previous experiences of checking-in; i.e. a cultural bias exists in the behavior of passengers using airline check-in services. Taiwanese passengers prefer to use the conventional counter check-in service but Korean, Australian and American air travelers use more self-service check-in facilities. The analysis also highlights that passengers’ perceptions of the attributes of the check-in service significantly determine their choice of check-in option.     

Investigating business traveller heterogeneity: Low-cost vs full-service airline users?

This paper investigates business traveller heterogeneity using data from a survey carried out amongst airline passengers. Traditional methods employed are usually based on mean responses, thus providing an incomplete picture of what business travellers perceive to be the main sources of differentiation in the airline industry. Factor analysis was used to find types of travellers through grouping of preferred attributes. Then, ordered discrete response methods were used to assess which attributes are perceived in a different way by the two types of travellers identified by factor analysis, controlling for route and passenger characteristics. The results show that a substantial portion of business travellers, who previously did not fly for business reasons, use low-cost air services. Furthermore, after having experienced the low-cost product, business passengers tend to reassess the valuation of some attributes in a way which is more favourable to the LCC. Hence, we conclude that LCC marketing strategies should be aimed at getting business travellers to experience the low-cost product.     

Flying Australia–Europe via China: A qualitative analysis of the factors affecting travelers' choice of Chinese carriers using online comments data

Recently, Chinese carriers entered the Australia–Europe route, a market currently served by several established airlines. The paper aims to explore and identify the contextual factors affecting the choice of China-based carriers for long-haul travel. The paper's innovation is in the way it uses the online comments made by readers of an aviation news article. In doing so, the paper highlights the advantages and limitations of such a data source and the full range of positive and negative perceptions about Chinese airlines as recorded by potential and actual travelers. This study highlights that in order to understand flight choice, it is worthwhile to consider the conventional itinerary choice factors in the context of the socio-cultural and historical influences. For researchers, the paper provides some evidence that air travelers apply compensatory decision rule in making airline choices. This supports the validity of the assumption of random-utility based choice models used in the study of air travel behavior.     

Homogeneous service with heterogeneous products: Relationships among airline ticket fares and purchase fences

A fare table derived from homogeneous service is essential for revenue management applications in the airline industry. Restrictions or so-called fences are usually regarded as a useful tool to differentiate homogeneous seat service. Nevertheless, the relationships among fares and fences are not yet clear. This study aims to investigate passengers’ preferences on the choice of ticket alternatives describing by fares and fences and using Taiwan domestic air travel as an example. Regarding the attributes that an airline ticket may be attached such as departure time, booking time, ticket validity, changing fee, refund and fare, stated preference questionnaires are developed with multiple hypothetical scenarios for respondents to select in the experiment. 398 valid samples are collected for the logit model analysis. With the use of mixed logit model to accommodate both passengers’ heterogeneity and also the issue of relevant alternatives in the experiment, the results show statistical significance of all applied attributes with correct signs. In addition, passengers possess different attitudes on the fence of booking time, ticket validity, changing fee, and fare. Willingness-to-pay of each fence is further calculated to ultimately generate a fare table based on the combination of fences for practice use.     

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.     

Transformation of India's Domestic Airlines: A case study of Indian Airlines, Jet Airways, Air Sahara and Air Deccan

India, home to one-sixth of the world's population, is becoming one of the world's economic engines. Its bureaucratic and outdated regulatory policies have been reformed resulting in a three-fold increase in the number of scheduled airlines and a five-fold increase in the number of aircraft operated. This paper reviews how the new regulatory roadmap has transformed the supply of domestic air services. A large passenger survey conducted in Mumbai investigated the sensitivity of passengers to a change in fare and which flight products would encourage them to select either a full service airline or a low cost carrier. The study finds that there is a homogenous set of flight products required by leisure passengers, travelling on both full service and low cost airlines, however there is a considerable dissimilarity overall between the requirements of passengers using a full service airline and a low cost carrier.     

The impact of COVID-19 on airline passenger travel behavior: An exploratory analysis on the Chinese aviation market

China was the first airline market in the world to be hit hard by the COVID-19 pandemic. It has been gradually recovering as the pandemic is largely contained domestically. However, with the global pandemic spread and great uncertainty, there has been a remarkable change in airline passengers’ travel behavior. This paper collected air passenger-level data from TravelSky in the Chinese market. In addition to the analyses on aggregate passenger flow patterns, this paper explores changes in airline passenger travel behavior, such as ticket booking time, age distribution of passengers, refunds and ticket changes, and passenger arrival time at airports. This is one of the first studies to focus on micro-level changes in airline passenger travel behavior by using objective passenger-level data. The pandemic-induced psychological changes in air travelers are explored, providing useful managerial and policymaking implications for the normalization of the pandemic and the recovery of the airline market in the post-pandemic era.     

The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports

We empirically study passenger modal-choice behavior to access an international hub airport, by using stated preference (SP) data and by constructing a binomial logit model. We found that passenger modal choice is affected by the service level of the access modes: travel time, travel cost, waiting time, and delay cost. The results also indicate that if passengers choose access mode in advance they consider service frequency: departure timing from home, and the arrival timing at the airport. Moreover, our results indicate that travelers’ willingness to pay for saving time differs by time of a day. They are apt to pay more in the morning than in the afternoon. These outcomes must contribute to improve the access flight service from local to hub airports to handle the needs of passengers.     

Predicting the impact of Trans Java Toll Roads on demand for intercity air travel in Indonesia

This paper aims to explore the factors influencing a potential air passenger shift to autos due to the completion of the Trans Java Toll Road and an increase in airfares. The study focuses on intercity trips for nonbusiness purposes. A face-to-face interview survey of 751 air passengers was conducted in three main airports on Java Island, Indonesia. Both the theory of planned behavior and the discrete choice model were applied to understand the factors for influencing toll road use among air passengers. The empirical results reveal that psychological factors, consisting of attitudes, subjective norms, and perceived moral obligations significantly influenced intentions to use the toll road. Meanwhile, perceived control of external resources was essential for airline passengers in their intention to use toll roads. Sociodemographic factors such as age, gender, income, frequency of airplane use, travel time, and cost also significantly influenced the decision to drive. Female, older passengers, high-income passengers, and frequent flyers were more likely to continue flying. The finding confirms that the Trans Java Toll Road affected a decline in air demand on Java Island. However, traveling with family members, rather than airfare hikes, became a more substantial reason for air passengers to switch to driving the toll roads. This research found that air passengers were inelastic related to changes in travel time, while 6% were willing to switch due to airfare increases of 10%.     

A ticket to ride: Evolving landscapes of air travel accessibility in the United States

During the past decade, air passenger service in the United States has been exposed to numerous carrier bankruptcies, antitrust investigations, mergers, labor problems and a massive increase in competition. These internal elements, combined with the rising costs of fuel and the threat of terrorism combine to make a relatively uncertain air travel landscape for both passengers and operators. Moreover, these dynamics have generated significant geographical shifts in airline route structures and airports serviced by commercial carriers. These factors, combined with increasing levels of consumer access to fare and routing information, have altered the landscape of air travel accessibility in the United States. The purpose of this paper is to examine issues of consumer air travel accessibility through an analysis of three critical measures: flight segments, flight time and ticket costs. In addition, a typology of air passenger accessibility is generated for the 156 busiest commercial airports in the United States using these three measures. Results suggest significant local and regional biases in time and cost, relative to distance, for many US markets.