Passengers' airport choice and airports' catchment area analysis in cross-border Upper Adriatic multi-airport region

Although much research has been performed on passengers' origin airport choice, there is little research on airports' catchment area size and even less on airports' catchment areas in cross-border regions. This paper addresses passengers' airport choice and analyzes airports' catchment area size and its homogeneity in the Upper Adriatic region. Using the results of passengers' survey at three regional airports (Ljubljana Jože Pučnik Airport (LJU), Venice Marco Polo Airport (VCE) and Trieste Pietro Savorgnan di Brazza Airport (TRS)) we have estimated the airports' catchment areas and airports market shares therein using multinomial logit (MNL) model structure. To additionally explore the passengers' airport choice behavior considering the different sensitivity across travellers to regional, demographic and airports attributes and account for preference heterogeneity in airport choice a mixed logit model was used. The results indicated that the three airports have relatively small core catchment areas and that the market share rapidly decreases with the increasing access time to airport. Partially, the results reinforced earlier findings showing that access time to airport is the most important determinant in airport choice for all segments (business/leisure and cross-border/domestic), however the sensitivity to access time is more pronounced in business and domestic group. Additionally, the results indicated pronounced loyalty to domestic airports and generally low importance of ticket prices, and show that in market conditions where all airports in the region have a low-cost carrier (LCC) the effect of LCC on airport choice is limited. Finally, the results indicated that the borders might have an influence on airport choice and that overall, in the cross-border regions the passengers’ airport choice process is even more complex than in non cross-border regions.     

Airports Council International, Greenport ’99 conference and exhibition – thinking green – strategies for balanced airport development in the next century, Amsterdam, The Netherlands 21–23 April, 1999

Airports Council International (ACI), ‘The Voice of the World’s Airports', is the only professional airport association in the world. ACI was formed in 1991 when the Airport Operator’s Council International (AOCI), the International Civil Airports Association (ICAA), and the Airport Associations Co-ordinating Council (AACC) merged to represent the world’s airports. ACI is based in Geneva, Switzerland with geographical regions in Africa, Asia, Europe, Latin America/Caribbean, North America, and the Pacific. Currently, ACIs membership consists of 528 members operating 1300 airports in more than 160 countries. ‘Greenport ’99’, the first conference of its kind, brought together organisations from around the world to discuss the future of airport development and its impact on the environment in the 21st century.     

Comparative analysis of efficiency for major Southeast Asia airports: A two-stage approach

Within the past few years, the economy of Southeast Asia has been expanding rapidly with the rise in demand for air transport services. International airports are important driving forces for Southeast Asia countries' economies. Therefore, the competitive ability of these airports is very essential in terms of development and competitiveness within the region. This paper investigates the capabilities of these airports by a two-stage approach. The strengths and weaknesses of each Southeast Asia airport are evaluated by Data Envelopment Analysis – Slack-Based Measurement (DEA-SBM) in the first stage. This is a non-parametric approach to measure the efficiency of 9 major airports in the area including Changi Airport (Singapore), Suvarnabhumi Airport (Thailand), Kuala Lumpur Airport (Malaysia), Soekarno Hatta Airport (Indonesia), Ninoy Aquino Airport (the Philippines), Noi Bai Airport, Tan Son Nhat Airport (Vietnam) and Guangzhou Baiyun Airport (China), Hong Kong Airport (Hong Kong). In the second stage, Tobit regression is used to estimate the influence of multiple factors toward the efficiency of each airport. By generalizing and comparing two stages, the analysis allows us to evaluate each airport's efficiency in seven years, as well as the impact of multiple factors in one airport's performance. The implications for improvement are also obtained and discussed.     

Measuring airports’ operating efficiency: a summary of the 2003 ATRS global airport benchmarking report

This paper provides a partial summary of the 2003 ATRS (Air Transport Research Society) Global Airport Benchmarking Report which uses the annual data for 2000–2001. The objective of the ATRS benchmarking report is to measure and compare the performance of several important aspects of airport management and operation: productivity and efficiency, unit costs and cost competitiveness, financial results. The report also examines the relationships between various performance measures and airport characteristics in order to better understand the observed differences in airport performance. This particular paper extracted from the benchmarking report focuses on measuring and comparing operating efficiency performance of the world’s major airports. In particular, the paper presents the results on the airports’ Variable Factor Productivities (VFP) after removing the effects of the variables beyond managerial control. In the process, it identifies the effects of various factors influencing airport’s VFP, and computes a ’residual’ VFP index as an indicator for airports’ operations efficiency.     

Hub airport slot Re-allocation and subsidy policy to speed up air traffic recovery amid COVID-19 pandemic --- case on the Chinese airline market

With international air travels largely banned around the world amid the global COVID-19 pandemic, many gateway and hub airports have more ideal slots available for reallocation. Airport traffic recovery replaces airport congestion to become the primary challenge of major airports around the world. With the pandemic well controlled domestically in China, the government liberalizes the hub airport slots for those previously forbidden services to the small/regional airports. This paper thus analytically examines the effect of this slot liberalization. The government subsidy to the small airports has also been considered. It is found that the slot liberalization can speed up airport traffic recovery for both hub and small airports. The hub airport slot liberalization leads to a lower level of minimum subsidy to sustain the survival of the small airports. Given any fixed level of subsidy to the small airport, both the total airport traffic and social welfare would improve with the slot liberalization at the hub airport. When the government can adjust the level of subsidy after liberalizing the hub airport slots, the subsidy could be excessive, if the government emphasizes too much on airport traffic recovery. This would, however, harm the overall social welfare.     

Incorporating annoyance in airport environmental policy: noise, societal response and community participation

Airport capacity continues to be one of the air transport issues that creates the most concern. The major environmental constraint for airports is the noise generated by aircraft. Annoyed communities living around airports have become a limiting factor for airport capacity and operability. This paper brings together the existing literature in the fields of airport environmental capacity, non-acoustic factors of noise annoyance, NIMBYism and environmental conflicts. We also analyze the socio-environmental conflict between Barcelona airport and the community of Gavà Mar. This case shows that the lack of trust between parties, the impossibility of predicting noise exposure, the absence of opportunities for civil society to speak and the difficulty of accessing relevant information foster annoyance and mobilization in the communities that live around the airport. In addition, it is shown that, in such a situation, communities’ reactions can evolve to a post-NIMBY stage in which proactive attitudes replace reactive ones.     

Questioning airport expansion—A case study of Canberra International Airport

World air traffic is expected to grow substantially in the next decade and beyond. Associated with this are accelerated programs to build new airports and expand existing ones. However, aviation futures are increasingly contested globally on ecological and resource grounds, and in relation to the quality of life of affected local communities, and to growing fears associated with terrorism, wars and civil unrest. This case study addresses the issues arising from the privatisation and expansion of Canberra International Airport in Australia. Aircraft noise is a major concern for community groups, and land use planning also emerged as a key issue in a highly publicised conflict between a land developer and Canberra airport management. An important outcome is the recognition of the need for independent policy institutes—working in conjunction with community groups—to challenge the prevailing hegemony of the business-political nexus.     

Managing New Zealand's airports in the face of commercial challenges

This paper explores commercial issues surrounding managing airports in New Zealand. Airport managers face pressures from changing airport–airline relationships, low cost airlines, proposed new airports and the growing importance of non-aeronautical revenues in achieving commercial goals. New Zealand's airports have moved from an operating environment within which all the principal airports were owned and managed by central government to one where airports are run as commercial entities under a variety of ownership structures. New Zealand has a high dependence on air transport and for its size, a very developed regional airport network.     

Supply-and-demand models for exploring relationships between smaller airports and neighboring hub airports in the U.S.

Airport passenger leakage is the phenomenon of air passengers choosing to travel longer distances to access more extensive air services offered by airlines at an out-of-region hub (or, substitute) airport, instead of using their local airports. Airport leakage can cause further reduction in services offered by airlines at a local airport, thereby causing even further leakage, and so on, which can significantly impact an airport's role in the growth of the local economy. This paper explores the geographic and operational attributes of local-and-substitute airport pairs in the United States, explicitly accounting for the interactive feedback relationship between passenger volumes and air service characteristics that contribute to the onset, persistence, and exacerbation of airport passenger leakage. A two-stage least squares regression model of air passenger demand at small- and medium-sized airports is first presented, where local passengers may travel by vehicle to larger, out-of-region hub airports. The results confirm that airfare and passenger volume relationships exist between the local and substitute airport pairs included in the dataset, and that lower airfares at the substitute airport have a greater impact on airport choices made by larger travel groups. They also suggest the existence of positive feedback in that if an airport attracts increasingly smaller passenger numbers with fewer air services and fewer air services with fewer passengers, without external intervention airport leakage impacts may be irreversible and exacerbate over time. A conceptual market share equilibrium analysis is used to illustrate the mechanisms of a direct two-way feedback relationship between passenger volumes at a local airport and air service characteristics at both the local and substitute airports. With data, this quantitative framework can help guide airport planners in further assessing and verifying suspected passenger leakage issues at their airport. The results suggest that without intervention, airport leakage impacts may be difficult to reverse; further exacerbating the trend are technological advancements that make driving cheaper and easier (connected and autonomous vehicles). However, the results can also guide planners in choosing the types and degrees of infrastructure investments and airline incentives that may be used to expand or retain air services to attract passengers.     

Modelling the effects of capacity constraints on air travellers’ airport choice

This paper analyses the effects of limited capacity on air travellers’ airport choice. The analysis is based on a market-segment specific airport choice model that accounts for limited capacities. The region of Stuttgart in Germany serves as a case study to examine the impact of limited airport capacity on air travellers’ airport choice. Air travellers’ choice depends on the supply of flights and accessibility of the airports in their choice set as well as on their preferences and willingness-to-pay. To elaborate the effects of limited airport capacity, scenarios relating to the capacity situation at airports serving the air travel demand of the Stuttgart region are analysed. This paper reveals the mutual dependence among airports. Capacity constraints at one airport cause spill-over effects and thus influence air travel demand served at other airports. In some cases this may even lead to new capacity constraints elsewhere.     

Analysis of ground access modes choice King Khaled International Airport, Riyadh, Saudi Arabia

Airports are vital to the transportation system because air travel is the fastest means of transporting people and goods around the world. Airports also connect aviation systems with other modes of transportation.As a result, access modes to airports are critical to the aviation system, and studying air passenger decisions regarding mode choice is an essential part of airport management and system planning.Though there has been systematic analysis of car use to access airports, there has been less systematic attention to the use of the public transport system, especially the taxi service. The aim of this study is to identify King Khaled International Airport (KKIA) access mode characteristics and users, which has not been investigated previously concentrating on the mix between car and taxi using data collected specifically for this research.More than half (55.5%) of the travelers surveyed arrived at KKIA by private car; taxi and limousine passengers accounted for 42.2% of the sample. The Saudi Public Transit Company (SAPTCO), transported only 2.3% of the air passengers surveyed. These results are similar to findings for an airport in the United States and very different from findings for an airports in the East (e.g., Hong Kong).A binary logit model was developed to evaluate the access mode choice. It was found that income, luggage, travel access time, and nationality significantly affect mode choice.Results provide insight for improved planning of access to KKIA.     

Spatial and operational factors behind passenger yield of U.S. nonhub primary airports

Nonhub airports are an essential component in the National Plan of Integrated Airport Systems (NPIAS) of the United States in that they connect regional towns and small communities to the air transportation network. Understanding the interplay of operational and spatial factors in determining average passenger yield of nonhub airports provides airlines with valuable information for network planning and revenue management. This study examines factors contributing to the yield variation among nonhub airports in the U.S. Using ordinary least squares (OLS) based econometric models, this study captures the spatial dependence of passenger yield of nonhub airports, which tends to increase with a corresponding increase in distance to the nearest large hub airport. Nonhub airports surrounding large hub airports with higher passenger enplanements and higher average yields also have higher yields than other nonhub airports. In addition, this study finds the effect of Allegiant Airlines in lowering the average passenger yield of the nonhub airports served directly by the airline, which can be termed as ‘Allegiant Effect’. Findings of this study could provide valuable guidance for airlines to analyze network planning strategies and to identify future markets for growth and for policymakers when allocating resources to communities relying on these nonhub airports.     

The baggage system at Denver: prospects and lessons

This article discusses the fundamental design difficulties of the fully automated baggage system originally planned for the New Denver Airport, and their implications for airport and airline management. Theory, industrial experience, and the reality at Denver emphasize the difficulty of achieving acceptable standards of performance when novel, complex systems are operating near capacity. United Airlines will thus make the Denver system ‘work’ by drastically reducing its complexity and performance. Automated baggage systems are risky. Airlines and airports considering their use should assess their design cautiously and far in advance, and install redundant, supplemental systems from the start.     

The geographical efficiency of Spain's regional airports: A quantitative analysis

Previous studies of the role of regional airports in the Spanish economy have focused on calculating efficiency using air traffic as the output and airport infrastructure data as the input. We present an alternative quantitative analysis based upon the geographical structure within the airport's market basin. We formulate a ‘geographical efficiency’ model that considers territorial variables within the airport hinterland. Input data for our model include the socio-economic structure of the population, intermodal transport links, industrial and tourism potential and existing leisure-related services. The output is the annual number of passengers associated with such constraints. The result is a relative efficiency estimate that shows uneven patterns of geographical efficiency amongst Spain's regional airports and also provides insights into opportunities for expanding some of these critical items of infrastructure. They suggest that some of Spain's regional airports may be better placed than others to compete in a liberalized market that exhibits a clear tendency in favor of coastal, tourism-based airports.     

Market segmentation analysis for airport access mode choice modeling with mixed logit

Accessing airports can be considered as a crucial issue since passengers need not miss their flights. This issue makes the mode choice to access the airports important to study on and develop policies regarding it. Many studies show destination type as domestic or international affects the airport access mode choice, along with other factors. In this study, we investigate the effect of destination type of mode choice using mixed logit, using market segmentation approach. Market segmentation regarding destination type as domestic or international is a first in airport access mode choice modeling. Revealed-preference data was collected by face-to-face passenger surveys at Ataturk International Airport in Istanbul, Turkey, in 2015. We did market segmentation analysis for Multinomial Logit (MNL) and Mixed Logit (ML) models. When MNL and ML models were compared, it was observed that ML was superior to MNL. Further, results of market segmentation analysis revealed that using segmented models produced more accurate results than using the pooled model; both in MNL and ML. This finding was also supported by the value of time estimates; there were significant differences between domestic and international travel markets in terms of airport access mode choice. These results showed that different transportation policies may be introduced for domestic and international traveler segments, which also were explained.     

Analyzing air cargo flows of international routes: an empirical study of Taiwan Taoyuan International Airport

Air cargo demand is an important aspect of the operation and planning of private and public agencies responsible for airports. While most existing studies in this field include only geo-economic characteristics of airports and their hinterlands as explanatory variables, this study develops a gravity model of air cargo flows by trying to incorporate more factors that might influence international air cargo flows of an airport. The model is developed based on the panel data of air cargo services on scheduled routes at Taiwan Taoyuan International Airport during the years 2004-2007. The results indicate that population, air freight rate and three dummy variables, including the regional economic bloc of the “Chinese Circle”(an informal partnership between Hong Kong, Macao, Taiwan and mainland China), the Open Sky Agreements and long established colonial links, are key determinants of international air cargo flows from/to Taiwan. These results suggest a wider array of factors needs to be considered in policy.     

Lessons learnt from the market for air freight ground handling at Amsterdam Airport Schiphol

On 16 April 2013, the European Parliament adopted a new, amended airport ground handling Regulation, which will replace the old Directive 96/67 EC on ground handling services. The new Regulation will further open up European airports for competition on the ground handling market. Even long before the introduction of Directive 96/67/EC, Amsterdam Airport has had a liberalised handling regime. Against the background of the further liberalisation of the European ground handling market, this paper investigates the characteristics of the open ground handling market for air cargo at Amsterdam Airport and the lessons that can be learnt from the Amsterdam experience. We find that an open handling market brings greater freedom of choice for airlines and lower handling fees. However, we do not see any (serious) market failure for the airport that would justify intervention by the market regulator, by limiting the number of handlers for example.     

Investigating travelers’ multi-impulse buying behavior in airport duty-free shopping for Chinese traveler: Intrinsic and extrinsic motivations

Airport duty-free shopping is becoming the most important source of revenue and profit. As airports provide a unique retailing environment that differs from the day-to-day distribution channels, observation of travelers' shopping behavior in airports shows that it is different from that in traditional retail store environments. Duty-free retailers at airports must recognize this specific shopping behavior to maximize their sales performance. We examine the relationship between two different types of impulse buying behaviors: cognitive and affective. We also study travelers' satisfaction/loyalty in the context of airport duty-free shopping using two moderators of this relationship: intrinsic and extrinsic motivations. Data were collected from outbound Chinese travelers, who represent the largest proportion of travelers worldwide, to identify implications for airport duty-free retailers. This study found a positive relationship between affective impulse buying behavior and travelers' satisfaction, an aspect that also generates loyalty in the context of airport duty-free shopping. Furthermore, travelers' extrinsic motivations moderate the negative relationship between affective impulse buying behavior and travelers' satisfaction. This study provides insights that airport duty-free retailers can utilize to motivate travelers’ consumption and enhance their satisfaction in duty-free shopping, thereby increasing consumer loyalty.     

Estimating the sensitivity of small airport catchments to competition from larger airports: A case study in Indiana

An accurate estimation of airport catchment area enables airlines and airport operators to make informed decisions and to target potential markets precisely. This study uses the state of Indiana as a case study to estimate traffic leakage from the local airport, Indianapolis International Airport (IND), to two large hub airports in Illinois, the neighboring state of Indiana, namely Chicago O'Hare International Airport (ORD) and Chicago Midway International Airport (MDW). By using a decision making model that considers flying cost and access cost, this study simulates from local passengers' perspective which origin airport delivers the most cost effective flight itinerary. Using the top 20 routes of IND in 2018 as model inputs, the catchment area of two Chicago based airports in Indiana with variable coverage is plotted for different traveling scenarios. The analysis shows that an airport catchment area is sensitive to location, service level and traffic volume of competing airports nearby, as well as purpose of travel (business or leisure), number of travelers in a group (single, couple, family or multiple), length of trip, destination (domestic or international), preference of airlines (network carrier or budget carrier), and frequent flyer program status (premier member or general member). These findings could be valuable to all three aforementioned airports as well as airlines serving these airports when allocating operational and marketing resources. More importantly, this study creates a generic model that could be used by virtually any airport to estimate scenario-based catchment area using readily available itinerary and spatial data without resorting to expensive passenger surveys.     

Statistical modelling of runway incursion occurences in the United States

Runway incursions are an important aviation safety concern; between 2002 and 2015 there were 16,785 runway incursions at United States airports ranging in size from small general aviation (GA) to large commercial airline hubs. When examining airports with the 50 highest incursion count over the past 5 years, the predominant categories were large hubs, which accounted for 21 airports and general aviation (GA) airports which accounted for 16 airports. In June 2015, the Federal Aviation Administration (FAA) announced the Runway Incursion Mitigation (RIM) program to identify airport risk factors that might contribute to a runway incursion and develop strategies to help airport stakeholders mitigate those risks. Different size airports serve different aircraft fleets, serve different operating volumes, and have different resources available (both funds and technologies) for incursion mitigation. Therefore, it is valuable to determine the correlating factors that affect incursions at different size airports. This paper uses econometrics based modelling techniques to identify statistically significant factors in data provided by the (FAA) public web sites on runway incursions. The model identified statistically significant variables that correlate with incursions, based on severity, for airports categories defined by the National Plan of Integrated Airport Systems (NPIAS).The model results indicate that operational incidents (OI) are more likely at large hub airports. In contrast, at GA/non-hub airports, pilot deviations (PD) were significant for less severe incursions (severity C and D). Only one variable, “number of years since 2002”, was found to be significant for all the three airport categories; this variable was correlated with severity A incursions and indicated a statistically significant reduction in severity A incursions, despite an overall 80% increase in incursions between 2002 and 2015.