京都大学 / 新制・課程博士 / 博士(経済学) / 甲第24961号 / 経博第675号 / 新制||経||304(附属図書館) / 京都大学大学院経済学研究科経済学専攻 / (主査)教授 黒澤 隆文, 准教授 IVINGS Steven, 教授 坂出 健, 教授 Stokes Ray / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DFAM

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The air transportation system has grown significantly during the past few decades. The demand for air travel has increased tremendously as compared to the increase in the supply. The air transportation system can be divided into four subsystems: airports, airlines, air traffic control, and passengers, each of them having different interests. These subsystems interact in a very complex way resulting in various phenomena. On the airport side, there is excessive flight demand during the peak hours that frequently exceeds the airport capacity resulting in serious flight delays. These delays incur costs to the airport, passengers, and airlines. The air traffic pattern is also affected by the characteristics of the air transportation network. The current network structure of most major airlines in United States is a hub-and-spoke network. The airports are interested in reducing congestion, especially during the peak time. The airlines act as direct demand to the airport and as the supplier to the passengers. They sometimes compete with other airlines on certain routes and sometimes they collaborate to maximize revenue. The flight schedule of airlines directly affects the travel demand. The flight schedule that minimizes the schedule delay of passengers in directed and connected flights will attract more passengers. The important factors affecting the airline revenue include ticket price, departure times, frequency, and aircraft type operated on each route. The revenue generated from airline depends also on the behavior of competing airlines, and their flight schedules. The passengers choose their flight based on preferred departure times, offered ticket prices, and willingness of airlines to minimize delay and cost. Hence, all subsystems of air transportation system are inter-connected to each other, meaning, strategy of each subsystem directly affects the performance of other subsystems. This interaction between the subsystems makes it more difficult to analyze the air transportation system. Traditionally, analytical top-down approach has been used to analyze the air transportation problem. In top-down approach, a set of objectives is defined and each subsystem is fixed in the overall scheme. On the other hand, in a bottom-up approach, many issues are addressed simultaneously and each individual system has greater autonomy to make decisions, communicate and to interact with one another to achieve their goals when considering complex air transportation system. Therefore, it seems more appropriate to approach the complex air traffic congestion and airline competition problems using a bottom-up approach. In this research, an agent-based model for the air transportation system has been developed. The developed model considers each subsystem as an independent type of agent that acts based on its local knowledge and its interaction with other agents. The focus of this research is to analyze air traffic congestion and airline competition in a hub-and-spoke network. The simulation model developed is based on evolutionary computation. It seems that the only way for analyzing emergent phenomenon (such as air traffic congestion) is through the development of simulation models that can simulate the behavior of each agent. In the agent-based model developed in this research, agents that represent airports can increase capacity or significantly change landing fee policy, while the agents that represent airlines learn all the time, change their markets, fare structure, flight frequencies, and flight schedules. Such a bottom-up approach facilitates a better understanding of the complex nature of congestion and gains more insights into the competition in air transportation, hence making it easier to understand, predict and control the overall performance of the complex air transportation system. / Ph. D.

This dissertation looks at the relationship between airport size (e.g. small, medium, large) and air service continuity and operational performance. It consists of three studies, each written in journal format. The first study analyzes the markets served pre- and post-recession while focusing on the operational strategies adopted by the top Major Carriers and Low-Cost Carriers (LCCs) in the United States. Findings show that LCCs have outpaced major carriers in terms of expanding their network and the number of markets served. During the same time, major carriers have gained a greater flight share in the markets they already serve. Post-recession, LCCs have shown preference to competing with major carriers over other LCCs. The second study investigates the declining service levels at small airports compared to large-hub airports, which continue to benefit from higher levels of service and increased airline presence. Using a fixed-effects conditional logistic regression, this study looked at factors contributing to service loss in region-to-region markets serving small communities between 2007 and 2013. Results show that 1) markets affected by a merger are indeed at a higher risk of losing service; 2) markets that are operated by a fuel-intensive, small-aircraft fleet have a higher chance to be discontinued and 3) an increased number of competitors greatly reduces potential market service loss. The third and final study proposes a new methodology to calculate original delay and propagated delays using combined aviation operational datasets that provide detailed flight information and causal factors behind delays. In addition to calculating original and propagated delay for the month of July of 2018, this study differentiated between original delays that occur during the turnaround phase, taxiing phase and en-route and incorporates causal factor information to identify the true source behind propagated delay. Two fixed-effects linear regression models were introduced that predict Total Propagated Delay and the share of propagated delay given an airport's ability to absorb upstream delay during the turnaround phase. Results show that most delay propagation chains originate at large-hub airports and are mostly concentrated at airports within the same geographical area. However, delays originating at large-hub airports were found to be the quickest to recover (i.e. least number of downstream flight legs affected) and large-hub airports have a higher ability to absorb delay at the turnaround phase compared to smaller airports given the significantly higher schedule buffer time airlines plan at large-hub airports. / Doctor of Philosophy / The changing nature of the air service industry is dependent on several key factors, including but not limited to the major and low-cost airlines, the frequency of service at different sized-airports and the operational performance of the airports in the system. Each airport can be classified by size based on the annual number of enplanements. This dissertation looks at the relationship between airport size (e.g. small, medium, large), service continuity and operational performance. It consists of three studies, each written in journal format. Over the past two decades, the U.S. air transportation network witnessed several economic downturns forcing airlines to shift their operational strategies, cease service or merge with an airline counterpart. The first study analyzes routes served before and after the recession by exploring the presence of major and low-cost carriers in these markets to understand how several economic downturns have influenced the operating strategy of airlines in the US. While Low-cost carriers focused on expanding their network and offering service in an increased number of new routes, major carriers increased their presence in the markets in which they already serve. Furthermore, after the recession, low-cost carriers chose to increasingly compete with major carriers over their low-cost counterparts. The second study explored the factors that can potentially contribute to the loss of service in routes serving small communities. While airlines continue to compete on the most profitable routes, small airports recently suffered from reduced service levels and in some instance service discontinuity. Results show that 1) routes that were once served by two airlines that merged are at a higher risk of losing service; 2) routes that are operated by a fuel-intensive small aircraft fleet have a higher chance to be discontinued and 3) an increased presence of airlines competing in a route greatly reduces potential service loss. In addition to evaluating service continuity, the third and final study looks at flight delays across the US and dives into the effect of airport size on propagated delay. Delays on a flight can be caused by inefficiencies and capacity restrictions at airports and may also be the result of delay that happen earlier in the day and that propagates to multiple flights downstream that share the same resources. That is, a delay can affect multiple flights whenever these flights are all operated by the same aircraft equipment. Costing the air transportation network billions of dollars annually, the third study examines the original and propagated delays at US airports by collecting data from multiple sources to incorporate the original source and cause of delay. Results show that most delay originates at large-hub airports and are mostly concentrated at airports within the same geographical area. However, delays originating at large-hub airports were found to be the quickest to recover and large-hub airports have a higher ability to absorb delay at the turn compared to smaller airports as airlines allocate additional minutes of schedule padding at large-hub airports.

No / The article focuses on emotional labour and self-identity at the Irish-owned Aer Lingus airline from 1998 to 2008. It has been suggested that emotional labour is likely to be an increasingly important feature of frontline service jobs. However, in this case management has reduced the level of emotional labour requirement while work organization, recruitment policy and training have changed to focus on sales and lower labour costs, intensifying workloads and reducing cabin crew autonomy. Although some may suggest that a reduction in emotional labour requirement would be a positive outcome for employees, this is not how it has been perceived by some cabin crew. Long-serving cabin crew in particular see these changes as an attack on their professionalism and a challenge to their identity as skilled emotion workers.

My Master thesis focuses on the design of the marketing strategy of a low-cost airline SparrowJet. The first chapter of the theoretical parts contains the required basics of theoretical information necessary to develop a marketing plan. In the second chapter is an analysis of the air transportation market with an emphasis on the low-cost segment. The final chapter of the theoretical part is dedicated to the marketing mix in the transportation. The practical part of my thesis begins with the situation analysis, which includes: the PEST analysis, Porters five forces analysis, a competition analysis and a customer analysis. My work is concluded with a complete proposal of a marketing strategy for the airline, including both basic strategy of S-T-P and a marketing mix.

The air transportation market has been growing steadily for the past three decades since the airline deregulation in 1978. With competition also becoming more intense, airline companies have been trying to enhance their market shares and profit margins by composing favorable flight schedules and by efficiently allocating their resources of aircraft and crews so as to reduce operational costs. In practice, this is achieved based on demand forecasts and resource availabilities through a structured airline scheduling process that is comprised of four decision stages: schedule planning, fleet assignment, aircraft routing, and crew scheduling. The outputs of this process are flight schedules along with associated assignments of aircraft and crews that maximize the total expected profit. Traditionally, airlines deal with these four operational scheduling stages in a sequential manner. However, there exist obvious interdependencies among these stages so that restrictive solutions from preceding stages are likely to limit the scope of decisions for succeeding stages, thus leading to suboptimal results and even infeasibilities. To overcome this drawback, we first study the aircraft routing problem, and develop some novel modeling foundations based on which we construct and analyze an integrated model that incorporates fleet assignment, aircraft routing, and crew pairing within a single framework. Given a set of flights to be covered by a specific fleet type, the aircraft routing problem (ARP) determines a flight sequence for each individual aircraft in this fleet, while incorporating specific considerations of minimum turn-time and maintenance checks, as well as restrictions on the total accumulated flying time, the total number of takeoffs, and the total number of days between two consecutive maintenance operations. This stage is significant to airline companies as it directly assigns routes and maintenance breaks for each aircraft in service. Most approaches for solving this problem adopt set partitioning formulations that include exponentially many variables, thus requiring the design of specialized column generation or branch-and-price algorithms. In this dissertation, however, we present a novel compact polynomially sized representation for the ARP, which is then linearized and lifted using the Reformulation-Linearization Technique (RLT). The resulting formulation remains polynomial in size, and we show that it can be solved very efficiently by commercial software without complicated algorithmic implementations. Our numerical experiments using real data obtained from United Airlines demonstrate significant savings in computational effort; for example, for a daily network involving 344 flights, our approach required only about 10 CPU seconds for deriving an optimal solution. We next extend Model ARP to incorporate its preceding and succeeding decision stages, i.e., fleet assignment and crew pairing, within an integrated framework. We formulate a suitable representation for the integrated fleeting, routing, and crew pairing problem (FRC), which accommodates a set of fleet types in a compact manner similar to that used for constructing the aforementioned aircraft routing model, and we generate eligible crew pairings on-the-fly within a set partitioning framework. Furthermore, to better represent industrial practice, we incorporate itinerary-based passenger demands for different fare-classes. The large size of the resulting model obviates a direct solution using off-the-shelf software; hence, we design a solution approach based on Benders decomposition and column generation using several acceleration techniques along with a branch-and-price heuristic for effectively deriving a solution to this model. In order to demonstrate the efficacy of the proposed model and solution approach and to provide insights for the airline industry, we generated several test instances using historical data obtained from United Airlines. Computational results reveal that the massively-sized integrated model can be effectively solved in reasonable times ranging from several minutes to about ten hours, depending on the size and structure of the instance. Moreover, our benchmark results demonstrate an average of 2.73% improvement in total profit (which translates to about 43 million dollars per year) over a partially integrated approach that combines the fleeting and routing decisions, but solves the crew pairing problem sequentially. This improvement is observed to accrue due to the fact that the fully integrated model effectively explores alternative fleet assignment decisions that better utilize available resources and yield significantly lower crew costs. / Ph. D.

This study aims to explore policy implications, production and consumption processes between the airline and tourism industries. In particular, policy initiatives, product developments, innovation and consumption patterns are taken into consideration in order to identify the relationship between the two industries within the context of Cyprus. The airline industry, after the implementation of liberalization, has changed considerably in terms of market size, type of airlines and operations. In the case of destination management, innovation and policy planning are key parameters of success. Additionally, new business production methods are imperative, given the emergence of a ‘new-tourist’ who is educated, seeking shorter breaks and more frequent and cheaper trips in unique and unexplored destinations. Both quantitative and qualitative methods of analysis are employed. In particular, 26 interviews of ‘power-elite’ policymakers and stakeholders in Cyprus are used to explore policy implications for the identification of implementation outcomes and their impact on product developments and innovation. Furthermore, 300 self-administered questionnaires were distributed to British travellers to Cyprus, so as to identify the role of the airlines and the extent of the importance attributed to destination. The results of the study suggest a gap in the relation of the tourism and airline industries’ interaction at policy level, outcome, and implementation. More specifically, the airline policy enables the industry to become more adaptive and creative, and innovation is depicted via low-cost carriers (LCCs). The tourism industry has developed a policy that reflects the post/neo-Fordism trends of consumption and production, which refers to niche products. However, there is a dearth of policy theory and implementation, with consistent failures and delays. Thus, tourism is at the stage of renovation without essential innovation in contrast to the airline industry, which is a leader, and a proponent of innovation. In terms of consumption, Factor Analysis suggests that British tourists tend to book their holiday trips based on three categories of airline attributes: ‘Customer service’, ‘Price-sensitive & Internet’ and ‘Selection in travel behaviour’. Cluster analysis suggests three main categories of tourists, namely, ‘Traditional’, ‘Demanding/Opportunists’ and ‘Ambivalent’. The results confirm that consumers have changed and tourism destinations must be able to adapt to their demands and to offer a variety of services and products in order to survive in a competitive global market. In the case of the airline industry and holiday trips, convenience and the airport that the airline is flying from is more important than the cost of the ticket.

Background: Due to the deregulation of the European airline industry within the 1980’s, competition between airlines has intensified greatly. The emergence of low-cost carriers has given rise to the competition on price. However, meeting customer demands and delivering high-quality service, beyond the mere price factor, is still crucial for an airline’s survival. Previous literature has focused on the interactive marketing aspect between employees and passengers when it comes to service quality and customer satisfaction. Today, there is a gap between what management does to satisfy its employees. This research will evaluate what should be done by management in order to meet customer expectations and perform an excellent service.   Purpose: The purpose of this study is to determine how Germania’s management inhibited its employees in delivering superior service quality and how distributed communication within the Service Marketing Triangle negatively affects the Internal Marketing Model. The study’s empirical findings contribute to existing internal marketing literature and result in an extension of the Internal Marketing Model according to Ahmed and Rafiq (2002).   Method: A qualitative method consisting of semi-structured interviews with four former airline employees and two focus groups of 13 students was applied. This setup gives insight into both the consumer and employee perspective. Additionally, to handle the great amount of data, a thematic analysis was applied.   Conclusion: This study shows how Germania inhibited its employees from performing their work and deliver the service quality that was expected by customers. These inhibitions were mainly found in the tools that the company provided. The shortcomings can be found within the Service Marketing Triangle and an extension of the Internal Marketing Model is concluded from these. The findings and existing theory prove, that employee motivation, job satisfaction and employee empowerment are crucial aspects when it comes to meeting customer expectations and hence, delivering excellent service. The degree of the employees’ empathy, competence, and professionalism determine, whether the customer is satisfied and whether they are loyal to the airline.