Analysis of the recent evolution of commercial air traffic CO2 emissions and fleet utilization in the six largest national markets of the European Union

This paper presents the results of a study performed to analyze the evolution of commercial air traffic and CO₂ emissions in the European Union, from 2010 to 2013. Data sources are the European Commission's Eurostat Air Transport Statistics (Eurostat) and EUROCONTROL flight plans database. The changes in the fuel efficiency are analyzed and the potential reasons for those changes investigated. The evolution in the airline fleet composition during the last decade is presented as one of the reasons for the improvement in fuel efficiency, measured in burnt fuel per total Revenue Tonne Kilometre (RTK), as well as the different parameters depending on the airline business model (network carriers, low cost companies, etc.) and the aircraft type.Results show a slight reduction in the traffic, both for passengers and cargo (about −0.8%), and a more important reduction in CO₂ emissions (−4.3%), thanks to an improvement in the fuel efficiency parameter (−3.5%) for the three years period. There has been a relevant change in the fleet composition in the last ten years, with the replacement of older models for more efficient ones, and a shift to larger aircraft, particularly in the regional segment. Traffic has decreased in shorter distances (internal EU traffic), but increased in more efficient long range flights (extra-EU traffic), resulting also in an improvement of the efficiency parameter as average aircraft size and stage length increases.     

Four shades of Open Skies: European Union and four main external partners

The Open Skies agreements are in the centre of the European Union’s external aviation policy. They form the basis of liberalisation of aviation between the EU and the rest of the world, opening up markets and promoting fair competition. The progress made since the original road map in 2005 depended both on the priorities of the European side and the individual strategy of each external partner. This paper discusses the status of the EU’s aviation relations with four important partners: USA, Russia, Morocco and Turkey.Aviation liberalisation is at a different stage of maturity in the four examples. The evolution of traffic over time can give an insight into the impact that gradual liberalisation had in each case: total traffic grows faster when restrictions are lifted, but new demand is not spread equally across airports on either side. The impact on concentration, measured with the Herfindahl–Hirschman Index (HHI) at airport level, varies significantly between the various markets. Political, geographic, demographic and economic factors influence the airline network dynamics and lead to distinct patterns of expansion. Special emphasis is given to the analysis of the role of airline alliances, ownership limitations and specific obstacles such as the visa limitations and the Siberian overflight royalties.     

An analysis of the determinants of air traffic volume for European metropolitan areas

This paper examines the determinants of air traffic volume in the major European urban regions, highlighting those that depend on the metropolitan features of cities. We used homogeneous urban and airline data that make international comparisons possible. We found that GDP, the level of economic decision-power, tourism functions, and the distance from a major air market account for more than two-thirds of the variation in air service. This seems to indicate that air service remains profoundly rooted in the metropolitan features of urban regions (notably size and decision-power), even if low-cost airlines are probably less linked to the latter because they partly focus on niche markets and regional airports. Much of the remainder is probably attributable to the specificities of the urban economy, to actors’ strategies and to competition from high-speed trains.     

Exploring the relationship between truck load capacity and traffic accidents in the European Union

Applying econometric techniques to EU28 panel data and controlling for explanatory variables such as road types, we find that increased truck load capacity does not necessarily aggravate road traffic safety. Specifically, heavy trucks do not seem to be linked with greater numbers of traffic fatalities/accidents, medium trucks appear to be the worst performers in terms of fatalities, and light trucks seem to be the worst for accidents. In summary, our results clarify the complex relationship between truck load capacity and road safety, pointing to the existence of a negative correlation for accidents per capita and an inverse U-shaped curve for fatalities per capita.     

CO2 emissions associated with hubbing activities in air transport: an international comparison

Hubbing is an important operational practice in air transport. Many studies have been conducted to examine the benefits and impacts of hubbing from an economic perspective. However, its impact on CO₂ emissions, especially across different air spaces, is not well understood. This paper explores the impact of hubbing activities in air transport from an environmental perspective. With a detailed methodology and data from the Greek and Hong Kong/Sanya flight information regions (FIRs), three levels of CO₂ emissions are estimated: airport-based, airspace-based and flight-based. After contrasting the CO₂ emission efficiencies of Athens International Airport (AIA) and the Hong Kong International Airport (HKIA), aircraft type and flight distance are examined to explain their emission efficiency differences. It is found that HKIA is associated with poorer CO₂ emission efficiency at the airport and airspace levels because of the larger aircraft and longer flight distance. However, when CO₂ emission efficiency at the flight level is considered, HKIA, with a higher passenger load factor, performs better. Major international hub airports should implement additional environmental measures to minimize the impact of hubbing activities on CO₂ emissions at the airport and airspace levels.     

Land-use and socio-economics as determinants of traffic emissions and individual exposure to air pollution

This paper presents a modeling framework developed for the City of Montreal, Canada, and is intended to quantify two indicators that can explain the spatial distribution of traffic-related air pollution at a metropolitan level. The indicators are estimated at the level of the traffic analysis zone (TAZ) and include: (1) the average level of emissions generated per individual and (2) the level of emissions occurring in a zone as a proxy for air pollution exposure. A regional traffic assignment model is extended with capabilities for emission modeling at an individual trip level while taking into account vehicle (type and age) and trip attributes (road type, speed, and volume). We observe that individuals who generate higher emissions from travel tend to reside in areas with lower exposure to traffic emissions while individuals associated with low levels of travel emissions (e.g. travel smaller distances, conduct less trips, and use alternative modes) reside in areas with high levels of traffic pollution. A regression analysis of the two indicators against a set of land-use and socio-economic variables shows that generated emissions per individual are positively associated with car ownership and larger vehicles, while being negatively associated with ownership of newer vehicles, and location in dense and walkable neighborhoods with high levels of commercial land-use. Meanwhile, exposure to emissions is positively associated with dense and walkable neighborhoods and negatively associated with car ownership and larger vehicles. These findings indicate major inequities in the generation of and exposure to traffic-related air pollution.     

Carbon dioxide emissions and inland container transport in Taiwan

The aim of this study is to estimate the carbon dioxide (CO₂) emissions from inland container transport during the time period of 1998-2008 and predicts the trend of these emissions. The analyses show that the CO₂ emission from inland container transport in 1992 reached 1.03 million tonnes, and the figure drastically increased by 89.3% to 1.95 million tonnes in 2008. Using a multiple regression model, gross domestic product (GDP) and oil price are found to be the key drivers for CO₂ emission. The CO₂ mitigation strategies are discussed in the policy suggestions given that Taiwan is warming at twice global average rate.     

The impact of the current economic crisis on the geography of air traffic volumes: an empirical analysis

This paper presents a comprehensive analysis of air services dynamics during the recent economic crisis. Through a regression analysis, we show that at the country scale, the change in the supply of seats is highly dependent on economic growth, confirming the cyclical nature of the air sector. Hence the crisis of air services has much more affected the USA, Europe and Japan than the rest of the world. However, many countries deviate from this general trend. In a second step, using the existing literature, we explain some of these deviating figures. National specificities and airline strategies seem to influence the intensity of the crisis. We argue that the intensity of the crisis in the US is due to the structural oversupply of the air sector. Through other cases, especially the Middle East, we show that hubbing strategies might reduce the impact of the crisis, or at least make it less dependent upon local economic dynamics. In contrast with other authors, we found no positive impact of the share of low-cost carriers on the supply during the crisis, despite their success in some specific contexts like between Europe and Morocco.     

On the multi-dimensionality and sampling of air transport networks

Complex network theory is a framework increasingly used in the study of air transport networks, thanks to its ability to describe the structures created by networks of flights, and their influence in dynamical processes such as delay propagation. While many works consider only a fraction of the network, created by major airports or airlines, for example, it is not clear if and how such sampling process bias the observed structures and processes. In this contribution, we tackle this problem by studying how some observed topological metrics depend on the way the network is reconstructed, i.e. on the rules used to sample nodes and connections. Both structural and simple dynamical properties are considered, for eight major air networks and different source datasets. Results indicate that using a subset of airports strongly distorts our perception of the network, even when just small ones are discarded; at the same time, considering a subset of airlines yields a better and more stable representation. This allows us to provide some general guidelines on the way airports and connections should be sampled.     

Robustness of the air transport network

This paper presents a methodology for the detection of critical airports (those whose isolation would cause the largest losses in network connectivity) in the global air transport network (ATN), based on simulating an attack on selected ATN airports using different adaptive selection criteria. The performances of several node selection criteria are compared, together with a new criterion based on Bonacich power centrality. The results show that most critical airports can be detected with an adaptive strategy based on betweenness centrality. The detection of such airports may help the development of contingency plans to develop an appropriate response to any airport closure.     

The good, the bad and the forgettable — or lessons the US can learn from European transport policy

Transport policy has undergone considerable change over the past 30 years on both sides of the Atlantic. In many ways the US has led the way, and part of the impetus for change within Europe has been the result of demonstration effects from the US experiences. Nevertheless, the changes in Europe have not represented a mirror image of the reforms that have occurred in the USA. This suggests that there may be lessons from Europe that could be of interest on the western side of the Atlantic.Some of these lessons offer positive refinements or alternatives to what has been done in the USA (‘The Good’). An obvious example of this is the relative success of many cities in Europe in maintaining the vitality of their central areas though traffic restraint and public transport policies.The European lessons may not, of course, all be positive but may reflect paths that should be avoided rather than pursued (‘The Bad’). Subsidies for European airlines offer one example. This may prove to be a non-trivial issue at a time when there are undercurrents of pressure for some degree of reregulation of transport in the USA.Another form of policy experience is that which fades away into the distance as a possibility but has no real scope (‘The Forgettable’) — the forked tariff regime applied to international trucking in Europe is a case of this.The examples cited are simply illustrative, but given the globalization of economic activities that is occurring and the speed at which transport policy is continually developing, there is a case for exploring the insights that may be gained from considering the experiences of others.     

Why sustainable transport policies will fail: EU climate policy in the light of transport taboos

There is widespread consensus that current climate policy for passenger transportation is insufficient to achieve significant emission reductions in line with global climate stabilization goals. This article consequently has a starting point in the notion of ‘path dependency’ (Schwanen et al., 2011) and an observed ‘implementation gap’ (Banister and Hickman, 2013), suggesting that significant mitigation policies for transport do not emerge in the European Union because of various interlinked ‘transport taboos’, i.e. barriers to the design, acceptance and implementation of such transport policies that remain unaddressed as they constitute political risk. The paper argues that without addressing transport taboos, such as highly unequal individual contributions to transport volumes and emissions, social inequality of planned market-based measures, the role of lobbyism, and the various social and psychological functions of mobility, it will remain difficult to achieve significant emission reductions in passenger transport. Yet, transport taboos remain largely ignored among EU policy makers because their discussion would violate ‘order’, i.e. harm specific interests within neoliberal governance structures and the societal foundations and structures of transport systems built on these.     

Overall safety performance of the air traffic management system: Indicators and analysis

Defining means to assess safety performance and delve into their causes is one of the current and future challenges of the ATM sector. Following the experiences of the Aerospace Performance Factor by FAA and EUROCONTROL, this research aims to apply the Analytic Hierarchy Process (AHP) in order to build synthetic and user-friendly safety-related indicators. Through the analysis and combination of the safety events over time (accidents, incidents and issues), this model will pinpoint critical situations and will address the interventions of the decision makers.     

Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach

This paper uses a complex network approach to examine the network structure and nodal centrality of individual cities in the air transport network of China (ATNC). Measures for overall network structure include degree distribution, average path length and clustering coefficient. Centrality metrics for individual cities are degree, closeness and betweenness, representing a node’s location advantage as being directly connected to others, being accessible to others, and being the intermediary between others, respectively. Results indicate that the ATNC has a cumulative degree distribution captured by an exponential function, and displays some small-world (SW) network properties with an average path length of 2.23 and a clustering coefficient of 0.69. All three centrality indices are highly correlated with socio-economic indicators of cities such as air passenger volume, population, and gross regional domestic product (GRDP). This confirms that centrality captures a crucial aspect of location advantage in the ATNC and has important implications in shaping the spatial pattern of economic activities. Most small and low-degree airports are directly connected to the largest cities with the best centrality and bypass their regional centers, and therefore sub-networks in the ATNC are less developed except for Kunming in the southwest and Urumchi in the northwest because of their strategic locations for geographic and political reasons. The ANTC is relatively young, and not as efficient and well-developed as that of the US.     

Mode choice behavior analysis of air transport on the introduction of remotely piloted passenger aircraft

Remotely piloted aircraft (RPA) are expected to be applied to passenger aircraft; however there is a lack of research which analyzes choice behavior for RPA compared to conventionally piloted aircraft (CPA), in terms of socio-demographic characteristics. The purpose of this paper is to present a model for air travelers’ mode choice behaviors under the assumption that RPAs are introduced to the market. Results show that the fare of RPA should be lowered by a certain amount (i.e., discount factor of RPA) to compete with CPA, and the discount factor should be higher for older, female, and frequent travelers. The results also show that there are still concerns about RPA, and pilot on board is preferred. Through this study, it will be possible to predict the acceptance of newly introduced technology in consideration of socio-demographic characteristics of potential customers.     

Exploring the impact of public transport strikes on travel behavior and traffic congestion

Public transport (PT) disruption can occur due to various factors such as malfunctions and breakdowns of vehicles, power outages, and personnel strikes. This paper explores the network-wide impacts of PT strikes (train, tram, and bus strikes) on traffic congestion in Melbourne, Australia using a network modeling approach. A primary survey aimed to investigate the mode shift of users when each public transport mode ceases was conducted with 648 public transport users in May 2016. Findings show that train withdrawal was expected to result in 43% of users shifting to car. Smaller yet significant shifts to car was also expected with bus withdrawal (34%) and tram withdrawal (17%). Based on the survey results and the use of a four-step transport model, train withdrawal was expected to increase the number of severely congested road links by 130% and reduce the average travel speed from 48 km/h to 39 km/h (20% decrease). Bus and tram withdrawal was also found to increase congestion although the result was less severe. Future research should investigate the switching behavior in actual withdrawal events and explore the long-term effects of public transport withdrawal.     

Differential pricing strategies of air freight transport carriers in the spot market

The single pricing approach fails to reflect different demand changes in response to its cargo space prices at different sales periods. This might be an obstacle to maximize the cargo space revenue of air freight carriers. This paper conducts the empirical analysis on pricing strategies in the spot market for two competitive air freight transport carriers operating on the same segment. It concludes that two carriers gain more revenues with the optimized differential pricing approach than with the single pricing approach. In theory, the research enriches the current literature in terms of pricing strategy optimization under the competition of two parties. In practice, it provides references for air freight transport carriers in their decision-making of applying the differential pricing strategy.     

Including aviation in the European emissions trading scheme: Impacts on the industry,CO2 emissions and macroeconomic activity in the EU

In July 2008, motivated by the expected high growth of aviation and the related impacts on climate change, the European Parliament adopted a directive to include airlines in the European Emissions Trading Scheme. This paper discusses possible impacts of this inclusion on the aviation industry in terms of CO₂ emissions and the macroeconomic activity in the EU. The analysis uses the Energy–Environment–Economy Model for Europe, a dynamic simulation model to investigate impacts of the European Emissions Trading Scheme on air transport. The impacts on air transport output and the macroeconomic effects are estimated to be small. This was robust to varying the carbon price. However, air transport CO₂ emissions were expected to decrease by up to 7.4%, which is more than that estimated previously and stems mainly from the supply-side reaction of the industry.     

Air transport liberalisation and the development of third level airports in France

The liberalisation of air transport in the European Union encouraged a proliferation of new entry airlines exploiting the opportunities offered by minor airports. This was particularly apparent in France where “third level” airports experienced growth associated with start-up airlines using low-capacity aircraft. A summary of these trends is followed by a detailed examination of the Centre-East District, which demonstrates that the aspirations of both airlines and airports have been compromised by recent restructuring of the French airline industry. Far from providing greater competition, deregulation has increased the quasi-monopoly of Air France as market forces proved to be stronger than liberalisation. As a result, many third level airports face an uncertain future, especially in the light of the terrorist attack on the United States and its likely effect on airline economics.     

Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19

This paper estimates the relationship between the strength of economic shocks and temporal recovery in the world air transport industry. Our results show that world recovery of passenger demand to pre-COVID-19 levels is estimated to take 2.4 years (recovery by late-2022), with the most optimistic estimate being 2 years (recovery by mid-2022), and the most pessimistic estimate 6 years (recovery in 2026). Large regional differences are detected, Asia Pacific has the shortest estimated average recovery time 2.2 years, followed by North America 2.5 years and Europe 2.7 years. For air freight the results show a shorter average world recovery time of 2.2 years compared to passenger demand. At the regional level, Europe and Asia Pacific are comparable with average recovery times of 2.2 years while North America is predicted to recover faster in 1.5 years. The results show that the strength of economic shocks of various origins impacts the linear growth of passenger and freight traffic and the temporal recovery of the industry in a predictable transitory way. Hence, the impact of the COVID-19 recession will represent a temporary, although long-lasting, correction to previous growth levels.