A comparison of indirect connectivity in Chinese airport hubs: 2010 vs. 2015

Airport hubs’ indirect connectivity is important for any aviation network. Indirect connectivity describes the capacity of airport hubs to provide indirect connections over the airline network. As the Chinese aviation industry has experienced development, this paper offers a comparative analysis of indirect connectivity for Chinese airport hubs between 2010 and 2015. We investigate wave-system structures, weighted indirect connectivity (WIC) and indirect connections of the top ten airport hubs in China. In the spatial analysis, this paper surveys the spatial patterns of indirect connections at four important airport hubs. Beijing-Capital airport has strong indirect connectivity worldwide. Pudong and Hongqiao airports worked together to maximize the spatial coverage of Shanghai. Guangzhou-Baiyun airport has sufficient indirect connections across southern China, and it intends to expand its spatial influence into northern cities.     

Is spatial dispersal the dominant trend in air transport development? A global analysis for 2006–2015

The economic performance of a city or region is considered to be intertwined with its air travel capability. It is thus important for planners and stakeholders to understand the changes in the global aviation network. This study investigates the global aviation network, taking 10 years worth's OAG data from the years 2006–2015 and examines whether a spatial dispersal trend dominates the development of the aviation industry. It considers the aviation network at the airport level, and the airport–city level, which may consist of one or more airports. After clarification of the various definitions of concentration, we find that there appears a trend toward a dispersal pattern in the global aviation network at the airport level. On the other hand, there appears a slight concentration at the airport–city level. Besides, there have been some major capacity expansions at airports in the Middle East and East Asia, while the capacities of some traditional hubs in Europe and North America have become increasingly constrained since the 2008 global financial crisis. Furthermore, our study provides further observations consistent with the phenomenon of bypassing of traditional hubs, especially mega-hubs. Competition for passengers among hubs and secondary airports, especially in multi-airport cities, is discussed.     

A model to forecast airport-level General Aviation demand

General Aviation (GA) demand forecast plays an important role in aviation management, planning and policy making. The objective of this paper is to develop an airport-level GA demand forecast model. The GA demand at an airport is modeled as a function of social-economic and demographic factors, the availability of supply factors, the competition from the commercial aviation, the number of based aircraft, and the presence of a flight school. Our models suggest that the relative fuel price – fuel price compared with personal income – is a significant determinant of airport level GA demand. The elasticity of itinerant and local GA demand with respect to the relative fuel price is −0.43 and −0.52, respectively. Our results are compared with those reported in other studies. Furthermore, we made projections of GA demand for the airports in the Terminal Area Forecast (TAF) using three fuel price scenarios from the Energy Information Administration. Our projections under the “business-as-usual” fuel price scenario are close to those in the TAF. Our models could prove useful, for example, for the Federal Aviation Administration and airport planners to prepare airport-level GA demand forecast.     

The difference between hub and non-hub airports – An airside capacity perspective

Airport airside capacity is limited by the runway system capacity or apron capacity, whichever is more constraining. Sometimes, taxiway system can also impose constraint to airside capacity, but in the case of fully developed taxiway systems (involving parallel taxiway, high speed exits, etc.) that is usually not an issue. To determine which airside element is more constraining it is not always as simple as comparing runway system and apron capacities directly one to another. It is important to understand and take into consideration their relationship. Runway-apron relationship depends on demand characteristics e.g. dominant market segments (e.g. scheduled, charter, low-cost, general aviation, cargo), and/or specific traffic patterns (hubbing or point-to-point services, seasonality in demand, etc.).The paper brings up the issue of available airside capacity under different traffic characteristics, faced by hubs vs. non-hub airports, and the necessity to understand runway-apron interdependency in order to properly identify the bottleneck on the airside. Referring to earlier findings related to apron capacity analysis, the paper summarizes various factors that affect apron capacity at non-hub and hub airports and uses them to define the runway-apron relationship, as well as its role in the process of analyzing airside capacity under various demand characteristics.The main finding is that functional relationship between the runway system and aprons is much stronger in the case of hub airports, and should be carefully considered when analyzing airside capacity. Besides runway capacity, few other variables that affect apron capacity at hub airports are discussed. Generic examples are used to support the discussion.     

The role of London airports in providing connectivity for the UK: regional dependence on foreign hubs

In a context of ongoing debate about the future UK aviation policy and its implications for regional economic development, this paper discusses the role of London Heathrow and the South East airports in providing connectivity for the UK, with particular focus on the international markets that originate from regional UK airports. Using an MIDT dataset of worldwide passenger itineraries served by the European airport network during May 2013, we first establish whether London Heathrow can currently be considered the most important hub for the UK, in terms of traffic generation, connectivity, and centrality, while also measuring the dependence of UK regions on foreign airports and airlines to remain connected with the rest of the world. Results show that, despite the competition, London Heathrow benefits from its massive traffic generation to remain the most central gateway for overall UK air transport markets. However, when only regional markets are considered, significant dependence on foreign hubs appears in many destinations, particularly to Asia–Pacific or the BRIC countries where above 80% of passengers use transfer flights. These results fit nicely with the observed trends of seat de-concentration and hub-bypassing in the airline industry. While dependence on foreign hubs can be interpreted as a sign of vulnerability, there is also the argument that bypassing Heathrow allows regional airports to develop new markets and reduce the level of congestion in the London airport system.     

Effects of competition and policy changes on Chinese airport productivity: An empirical investigation

This paper investigates the influence of competition and aviation policy reform (for example, the airport localization program and listing airports on stock markets) in China on the efficiency of Chinese airports. By using Data Envelopment Analysis, we estimate both the productivity level and its growth for 25 sample Chinese airports. After controlling for hub status and other airports' characteristics, we find that: (i) publicly listed airports are significantly more efficient than non-listed airports; (ii) airports with more competition are more efficient than their counterparts; (iii) the airports' efficiency and the technical progress are positively correlated with the airport localization program; and (iv) the impacts of open-skies agreements and airline mergers on the airports' efficiency are statistically insignificant.     

From hub to tourist destination – An explorative study of Singapore and Dubai's aviation-based transformation

The growth of air transport networks and deregulation have allowed small, low-populated places like Singapore and Dubai to become major international tourism destinations. Both have used tightly combined airline, airport and tourism strategies to help achieve this. Here we analyse developments in Singapore and Dubai by examining interactions between their airlines, airports, governments and tourism authorities, and how integrated management strategies leveraged their aviation traffic hubs to develop tourism destinations.     

Airline strategies for aircraft size and airline frequency with changing demand and competition: A simultaneous-equations approach for traffic on the north Atlantic

Airport planners need to know the forecast demand on the facilities provided airside at airports. For this they need to know how airlines will deal with traffic in terms of the size of aircraft and frequency of service. In response to increasing demand, airlines may increase capacity by increasing the frequency of flights or they may choose to increase aircraft size. This may yield operating cost economies. If the airports they operate from are capacity constrained they will be limited in the extent that they can change frequency that will limit their ability to compete with the number of frequencies offered. Consequently, these airports are excluded as are major hubs as frequencies will be influenced by connecting passengers. Routes are identified on the north Atlantic that can be analysed and conclusions are suggested on the basis of three stage least-squares estimates for pooled time series-cross section data. An increase in passengers on the whole will result in a larger increase in frequency than in aircraft size but the impact of competition does not yield significant results due to the strategy of excluding certain categories of airport.     

Current and future noise impacts of the UK hub airport

Noise is a negative byproduct of aviation operations, the effects of which can have a significant impact on human health and welfare. In this study, we model the present day noise impacts from two London airports: Heathrow and Gatwick. We monetize perceivable and attributable impacts using a willingness to pay for abatement from hedonic pricing studies, and we monetize other health impacts by combining the value of life years lost from mortalities and a cost of illness approach. We find that noise generated by operations at these two airports impacts 255,800 people, contributing to 54 myocardial infarctions and 17 premature mortalities each year. We find annual total damages of £80.3 million and £0.87 million attributable to Heathrow and Gatwick respectively. Further, we calculate expected noise impacts in 2030. Due to capacity constraints and technology improvements, noise impacts are expected to decrease to £76.5 million per annum if neither airport undergoes expansion. However, if Heathrow expands through runway extension or construction of an additional runway, total damages increase £92.5 million or £104.6 million respectively. Expanding Gatwick with a second independent runway results in total annual damages of £78.8 million.     

Operational efficiency of Asia–Pacific airports

Airports are important drivers of economic development and thus under tremendous pressure from emerging competitors. However, few studies have analysed the operational efficiency of Asia–Pacific airports. This study therefore evaluated the operational efficiency of 21 Asia–Pacific airports between 2002 and 2011. A two-stage method was used: Data Envelopment Analysis (DEA) to assess airport efficiency, followed by the second-stage regression analysis to identify the key determinants of airport efficiency. The first-stage DEA results indicated that Adelaide, Beijing, Brisbane, Hong Kong, Melbourne, and Shenzhen are the efficient airports. The second-stage regression analysis suggested that percentage of international passengers handled by an airport, airport hinterland population size, dominant airline(s) of an airport when entering global airline strategic alliance, and an increase in GDP per capita are significant in explaining variations in airport efficiency.     

Hub competition and travel times in the world-wide airport network

The aim of this work is to measure the competition between airport hubs based on an analysis of travel times in the world-wide airport network. By considering the minimum travel time required to connect each pair of airports, it is possible to create new measures of hub competition, separating the effects of hub position and temporal coordination. This analysis was carried out at the global level, considering all 232 airports with more than 3 million seats yearly offered in departure flights in 2008, and also in relevant geographic markets. The results show a high level of competition among the most important world airports, but the major airports of Europe have a geographical advantage in relation to world markets over the major American and Asian airports. We also show that airports located in different continents often compete for the same origin–destination markets. Geographical position appears to be the most important variable explaining hub performance. Secondary hubs show a higher degree of specialization towards specific markets.     

Analysing and modelling some effects of solutions for matching the airport runway system capacity to demand

The paper deals with analysing and modelling some effects of three solutions for matching the airport runway system (landing) capacity to corresponding demand. These are: i) charging congestion applied to the NY LaGuardia airport (New York, USA); ii) deployment of the innovative operational procedures supported by the new technologies developing in the scope of European SESAR (Single European Sky ATM Research) and U.S. NextGen (Next Generation) program applied to the system of two closely-spaced parallel runways at Dubai International airport (Dubai, UAE (United Arab Emirates)); and iii) building the new additional runway(s) applied to the runway system of three London airports - Heathrow, Gatwick, and Stansted (London, UK).The results have shown that each of the considered solutions can contribute to more efficient and effective matching of the airport runway (landing) capacity to the current and expected (prospectively growing) airside demand under given (specified) conditions.     

What hurts the dominant airlines at hub airports?

This paper estimates a frequency equation to explain the determinants of network airline service levels at their hub airports. Drawing on European data for 2002–2013, we find that network airlines reduce frequencies when the share of low-cost airlines increases both on the route and at the hub airport. On the contrary, frequency choices of network airlines are not affected by competition from low-cost airlines operating in nearby secondary airports. We also find some evidence that mergers in Europe may result in a re-organization of the route structure in favor of the hubs of the larger airline.     

An empirical analysis of airport capacity expansion

Theoretical analyses of the impact of airport capacity expansion must model or make assumptions about the effect of capacity on demand, airline competition, aircraft types, fares and other characteristics of a given airport. In this paper, we use empirical data on historical schedules, fares, delays and demand for the busiest 150 airports in 2015 to examine the typical impact of historical capacity expansions. We find significant diversity in outcomes, with over half the expanded airports either using less than their pre-expansion capacity or remaining constrained even at post-expansion capacity by 2016. Many of the expected impacts, such as reductions in typical aircraft size, either do not materialise or are dominated by other effects (for example, recessions; airlines beginning or ending operations at an airport; changes in regulation). Behaviour on expansion is affected by slot control regulations and whether the airport is initially capacity-constrained. In particular, slot-controlled airports typically add new destinations and carriers on expansion rather than making significant changes to existing schedules.     

Regional aviation and economic growth: cointegration and causality analysis in Australia

Air transport is a critical link to regional, rural and remote communities in Australia. Air services provide important economic and social benefits but very little research has been done on assessing the value of regional aviation. This research provides the first empirical evidence that there is short and long run causality between regional aviation and economic growth. The authors analysed 88 regional airports in Australia over a period of 1985–86 to 2010–11 to determine the catalytic impacts of regional air transport on regional economic growth. The analysis was conducted using annual data related to total airport passenger movements – for the level of airport activity, and real aggregate taxable income – to represent economic growth. A significant bi-directional relationship was established: airports have an impact on regional economic growth and the economy directly impacts regional air transport. The economic significance of regional air transport confirms the importance of the airport as infrastructure for regional councils and the need for them to maintain and develop local airports. Funding should be targeted at airports directly to support regional development.     

Strategic development trend and key factors analysis of Airport City in Taiwan

In the past decade, many airports have shifted from being simple transfer ports to logistical transportation hubs and, more recently, into multi-functional airport cities. The emergence of the airport city provides evidence of advanced transportation development of a country or a region, as it serves as the impetus for national industry and a gateway to economic globalization. This paper explores the development trend of airport cities in Hong Kong, South Korea, Singapore as a basis for analysis of outcomes in Taiwan. Using grounded theory-based qualitative research, this study analyses and conceptualizes thirty key factors and seven trends for airport-city development via interviews with focus groups and experts. These development trends are verified by a contingency analysis with airport cities development intelligence. In addition, this study conducts an industrial matrix analysis and verb-term coding to propose action items for industrial categories in the case of Taiwan Taoyuan international airport.     

Drivers of long haul flight supply at secondary airports in Europe

Intercontinental air traffic is unevenly distributed between secondary European airports. While a few airports offer a remarkable number of long haul services, most non-hubs struggle to attract such flights. We discuss and test factors influencing secondary airport choice of long haul carriers. Results indicate that the economic power of the airport region has a significantly positive influence on long haul flight supply, while a sufficient runway length is only a condition sine qua non. Consequently, long runways at many secondary airports are underutilized and thus not economically viable.     

Privatization,corporatization, ownership forms and their effects on the performance of the world's major airports

This paper focuses on measuring and comparing productive efficiency and profitability among airports owned and operated by government departments, 100% government-owned corporations, independent airport authorities, mixed enterprises with government majority ownership and mixed enterprises with private majority ownership. The analysis is based on a cross-sectional, time-series dataset (2001–2003) for the major Asia-Pacific, European and North American airports. There is strong evidence that airports with government majority ownership and those owned by multi-level of government are significantly less efficient than airports with a private majority ownership; there is no statistically significant evidence to suggest that airports owned and operated by US government branches, independent airport authorities in North America, or airports elsewhere operated by 100% government corporations have lower operating efficiency than airports with a private majority ownership; airports with a private majority ownership achieve significantly higher operating profit margins than other airports; whereas airports with government majority ownership or multi-level government ownership have the lowest operating profit margin; and generally, airports with a private majority ownership derive a much higher proportion of their total revenue from non-aviation services than any other category of airports while offering significantly lower aeronautical charges than airports in other ownership categories excluding US airports. The results suggest that private–public–partnership with minority private sector participation and multi-level governments’ ownership should be avoided, supporting the majority private sector ownership and operation of airports.     

An econometric analysis of domestic air traffic demand in regional airports: Evidence from India

The Indian aviation industry has a vast potential to grow to cater to its population and commerce through developing air transport services to the regional airports. This paper examines the possible determinants of domestic air traffic demand in Indian regional airports serving below three million passengers per annum. Using multiple regression analysis, we find that distance to the nearest airport and accessibility of the airport significantly affect traffic volumes in regional airports. This study also highlights the specificities of Indian regional airports.     

Total factor productivity analysis of the UK airport industry: A Hicks-Moorsteen index method

This study examines the total factor productivity (TFP) change of the UK airport industry from 2001 to 2009 using a Hicks-Moorsteen index method. The results show that the industry experienced an average annual growth in TFP of 0.32 per cent with efficiency change being the main contributor to the TFP growth. We find that private UK airports enjoy slightly higher TFP growth than those in public or mixed ownership. Regulation and airport size are found to have statistically significant effects on the airport productivity level.