Towards an objective decision-making framework for regional airport site selection

Airport site selection requires consideration of several criteria constrained by complicated trade-offs. Airport literature and practice provide valuable insights in terms of influencing factors and multicriteria assessment methods, at the pace that reported siting processes follow non uniform decision-making structures. Current developments in geoinformation unveil a valuable opportunity of development of a structured methodology in the field of airport siting. Brazilian public sector decision-makers recognize that such methodology has the potential to improve the allocation of federal budget for new regional airports, in terms of implementation time and political friction. This research proposes a methodology termed MESA - Metodologia de Escolha de Sítios Aeroportuários (in Portuguese, Airport Site Selection Methodology). The purpose of MESA is to be sound under technical grounds and at the same time provide a more objective decision-making process. The proposed methodology consists of 4 phases: i) literature review of airport site selection criteria; ii) criteria systematization; iii) setting up of eliminatory criteria and their thresholds; and iv) setting up of scoring criteria and of an approach for their quantification. Eliminatory criteria reduce the original screening area, while scoring criteria are used for ranking purposes. MESA combines GIS (Geographic Information System) and classic AHP (Analytic Hierarchy Process) with direct assessment of alternatives through specific techniques. So far, the methodology has been applied to two real cases in the Brazilian context. In addition to effectively reducing subjectivity in airport site location decision, MESA has been demonstrating to be a powerful tool for mitigating environmental and social impacts associated to airport site selection. MESA is designed in such a way that simplifies improvements and adaptations, making it widely applicable.     

Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily

In this paper a new approach was proposed so as to comparatively evaluate the quality of service alternatives. In particular, a fuzzy extension of the ServPerf service conceptual model was considered to estimate quality scores of fundamental service criteria, whereas the non-compensative multi-criteria decision-making ELECTRE III method was employed to point out the quality ranking of service alternatives on the basis of which the comparative service quality analysis was performed. In order to show the effectiveness of the proposed approach, an empirical study concerning service quality evaluation of the three international airports in Sicily (Italy) was conducted with detailed proposals for passenger service improvement. The results showed that only few key service aspects played a focal role in quality airport service. Moreover, the effects on the evaluation of service quality, arising from customers' uncertainties, were computed, thus demonstrating the effectiveness of the proposed approach.     

RISK assessment in airport maintenance runway condition using MCDA-C

This paper proposed the initial development of a multicriteria methodology for a runway maintenance monitoring using risk perception at airports with the MCDA-C methodology. To support morphological structuring and semantic judgments eight specialists in airport maintenance and operations were interviewed and the model was built based in their perceptions and deep technical knowledge on the subject. We found that the 7 most representative criteria were able to deal with approximately 80% of the perceived risk by the experts, indicating that a considerable part of the resources of the Brazilian airport infrastructure operations could be being redirected towards a more rational application. Finally, we applied the method in a real scenario situation by analyzing real data from the 29 the busiest Brazilian airports. Data showed objectively that 18 airports presented scores that clearly indicated being in a favorable (safer) or unfavorable (risky) condition regarding the criteria analyzed, guiding where the state can spend the resources with the best benefit.     

Determinants of Brazilian international flights: The role of hub-and-spoke and infrastructure variables

The objective of this study is to evaluate the determining factors influencing airline companies to operate international origin-destination (O-D) routes from different Brazilian airports. The results are based on a panel data model and support the assumption that statistically significant explanatory variables stem from gravity factors (GDP and an airport competition measure weighted by distance), hub-and-spoke variables and capacity inputs. We find that a composite variable made up by the airport capacity variables – given by the size of the terminal building and the length of runways – and its domestic connections have a positive effect on airport competitiveness. In conclusion, we find that not only well-known demand-side factors, but also supply-side variables – strategic decisions taken by airport management – matter in attracting international flights.     

Passengers perceptions of airport branding strategies: The case of Tom Jobim International Airport – RIOgaleão,Brazil

This study examines the passengers perceptions of Tom Jobim International Airport – RIOgaleão branding strategies and its impact to their experiences in light of the airport branding elements proposed by the literature. To achieve these aims it was conducted a semi-structured interview with the airport's branding manager and a questionnaire with the passengers (n = 92). The findings showed that the airport's new management company has been employing tourist branding strategies using a mix of elements, but it is possible that these actions have had the main objective of raising the airport to international service standards, whereby the operation of terminals by large companies is a trend. It was also concluded that some of the airport branding elements (i.e. logos and slogans) are well developed and represent a higher impact on passenger experience, while others (i.e. retail pricing strategies) require further attention and new approaches in order to improve passenger experience in the terminal.     

Brazilian airport economics from a geographical perspective

This paper discusses the revenue and expenditure functions of a sample of Brazil’s airports administered by Infraero, the Brazilian State enterprise responsible for administering the country’s major airports. It aims to identify what volume of movement at the airports associates with positive net earnings, i.e., the break-even point between revenue and expenditure, in view of aspects of airport movement and geographical factors. It examines airports serving regular airlines and with movement of up to 8 million passengers in 2010. Revenues and expenditures are explained by total passengers embarked and disembarked at each airport and by the potential of the airport’s ‘anchor city’. Multiple regression analysis achieved a high level of explanation for the dependent variables studied, i.e., revenues and expenditures. The model explains 81% and 91% of the variations in revenues and expenditures, respectively. The analysis shows that, considering the ranking of cities, Brazilian airports with less than 2 million passengers tend to operate at a financial loss, those with between 2 and 3 million passengers are at the transition stage between positive and negative earnings, while airports with more than 3 million passengers tend to make gains. However, the simulation modelling shows that the break-even point between expenditure and revenue functions can vary considerably when different ‘city potentials’ are considered. In this respect, the modelling offers investors a tool for analyzing passenger demand risk in the light of expectations for Brazilian cities’ potential.     

What is the busiest time at an airport? Clustering U.S. hub airports based on passenger movements

Accurate clustering of airports enables airport authorities and operators to precisely position themselves in the competitive market, facilitates airlines to efficiently allocate resources, and empowers the research community with credible data for new discoveries. Existing clustering studies largely use traffic volume, network connectivity, or operational efficiency to group airports into hierarchical clusters or parallel partitions. Developing a different perspective, this study focuses upon a key bottleneck of outbound passenger movements in airport terminals, the security checkpoints, and uses the Transportation Security Administration (TSA) Customer Throughput/Wait Times Reports to cluster hub airports of the United States. With the input data structured as univariate time-series, k-shape, a clustering algorithm that is robust to time axis distortion and computationally efficient, is selected to analyze the similarity of time-series using shape-based distance. The clustering results are validated by examining the raw and z-normalized data of selected airport clusters on six sampled dates. Analysis results indicate that k-shape is competent and efficient to process and cluster time-series data used for this specific research. This study offers a fresh perspective to cluster commercial airports using an infrequently employed dataset. The clustering results reveal how the geographical location, hub status in airlines' operational network, and destination type of an airport affect the movement of outbound passengers through terminals     

Analysis of airport noise through LAeq noise metrics

The methodology used in several countries for airport noise simulations, including Brazil, is based on Day-Night Sound Pressure Level (DNL) metric. However, DNL metrics can in some cases bring distortions for sound levels, daily and nightly. The purpose of this study is to make an analysis of airport noise through the L_Aeq metric and propose new alternatives based on Day Equivalent Sound Level (L_AeqD) and Night Equivalent Sound Level (L_AeqN) noise metrics. We also apply the concept of acoustic influence areas for the analysis.     

Management of airport congestion through slot allocation

The lack of airport slots (the time allocated for an aircraft to land or take off), particularly at airports which experience congestion, have reached unmanageable proportions in recent years. The International Civil Aviation Organization (ICAO) records that, by the end of 1997, there were 132 slot controlled international airports. The World of Civil Aviation, 1997–2000. ICAO Circular 273-AT/113, p. 12 (118 year round and 14 during peak seasons). Between 1989 and 1998 the reported number of commercial aircraft in service increased by about 60% from 11,253 to 18,139 aircraft. In 1998, 1463 jet aircraft were ordered, compared with 1309 in 1997, and 929 were delivered compared with 674 aircraft in 1997. In 1998, the total scheduled traffic carried by airlines of the 185 Contracting States of ICAO amounted to a total of about 1462 million passengers and about 26 million tonnes of freight. These figures¹ are reflective of the rapidly increasing frequency of aircraft movements at airports, calling for drastic management of airport capacity. To cope with the demand, airlines are forming strategic alliances with themselves by utilizing such commercial tools as franchising, leasing and interchange of aircraft. The management of airport capacity through slot allocation is a critical consideration for the world aviation community. This article analyses the problem and discusses various issues related thereto.     

Estimating the impact of airport privatization on airline demand: A regression-based event study

This paper develops an empirical model of passenger demand for routes of airports subject to either imminent or recent privatization. We investigate whether the privatization process produces a sequential impact over traffic. By employing a regression-based event methodology and controlling for fixed effects, price endogeneity and sample selection, we perform an econometric analysis of pre-privatization and post-privatization dynamic patterns of demand to infer the demand consequences of the major change in airport governance. We examine recent Brazilian airport privatization experience as a case. The main results suggest that privatization produced an overall increase in airline demand and that the airport notably recognized with the greatest demand potential and with the largest market penetration of a fast-growing low cost newcomer had the highest estimated ceteris paribus effect of privatization on demand.     

A transport carbon footprint methodology to assess airport carbon emissions

Airports are important nodes in the air transport system, but also local sources of environmental impacts. Emissions of CO₂ are among the most relevant ones because of their potential greenhouse effects. Many policies and guidelines have been identified at national and world level to reduce such kind of impacts. In this paper, a Transport Carbon Footprint methodology has been set to identify Unit Carbon Footprints (UCFs) linked to some identified emission macro-sources – i.e., land vehicles, on-ground aircraft, airport handling and terminal equipment – to compute the contribution of the single macro-source to the total amount of CO₂. Particularly, UCFs due to transport activities have been defined according to some relevant transport variables. The computation of UCF values for a given airport allows computing both the contribution of each macro-source and also evaluating the effectiveness of transport-related actions aiming at reducing the carbon impact. The methodology has been applied to the airport of Bologna, in Northern Italy, and its UCF values for the identified macro-sources have been computed.     

A systematic approach to assess the effectiveness of airport noise mitigation strategies

Regional airports are often located very close to the urban area they serve and the increasing traffic rate that many of them have experienced in the last years has produced several impacts on the communities living close to the airport area, mainly aviation noise. If not properly managed, noise impacts produced by airport operations can cut down significantly the development of airport air traffic with direct effects on the economic and territorial systems. Aeronautical noise has greatly reduced in the last decade, due to aircraft design technological improvements and more severe regulations. However, the noise reduction during a single event does not make the issue of the airport location – and then the whole noise impact – less significant. This paper proposes an assessment process to evaluate the effects of actions adopted to reduce airport noise impacts on populated areas. Both airport-related factors – such as number of take-off; day-evening-night distributions of movements; aircraft type; flying paths – and land-use characteristics have been considered and combined in a density index that synthesizes the impacts of airport noise on the territory. The assessment process has been tested on a real case, the airport of Bologna in Northern Italy. The predicted results, compared with available real data for the test case, are significant and encourage the use of the proposed assessment process as decision support system for the airport management.     

Implications of the ageing society and internationalisation for airport services: A perspective on passenger demand for personal space at airport terminals

“Per-passenger-space” has been used as one of the fundamental units of Level of Service (LOS) measurement to evaluate the capacity of airport terminals for passenger comfort and service satisfaction. This study addresses the questions of how air passengers perceive personal space as an airport service attribute, and how the territoriality of passengers is moderated by their age and cultural background. Participants were grouped depending on their age and nationality for a comparative study. The results from the Repertory Grid Technique (RGT) and open-ended questions supported the conclusion that passengers of different age and cultural backgrounds perceive personal space differently, and their service satisfaction would be partially affected by the availability of personal space within the airport terminal. These findings suggest a necessity for alternative LOS standards that are cost-effective and able to reflect changing age structure and cultural composition of air passengers.     

Airport traffic complexity and environment efficiency metrics for evaluation of ATM measures

For a given (current or planned) traffic demand, different air traffic management measures could result in different airport traffic complexity and efficiency. This paper presents the research on the relationship between airport traffic complexity and time and environmental efficiency for different air traffic control (ATC) tactics applied to the given or planned airport layout. Emphasis is placed on the evaluation of airport traffic complexity, aircraft fuel consumption, gas emissions and time efficiency for different ATC tactics and/or airport airfield layouts. For busy airports during peak hours, arrival queuing delays, taxi-in, taxi-out times and departure queuing delays increase, which induces additional unnecessary fuel consumption, gas emission and time inefficiency. In order to find a tool which could indicate potential delay generators, a measure of airport traffic complexity – called Dynamic Complexity is proposed. Experiments were performed for airports with different airfield layouts, for different traffic demands and ATC applied tactics using SIMMOD simulation model. Traffic situations were analyzed and delays were measured. The values of airport traffic complexity, fuel consumption and gas emissions were also determined. A comparative analysis of the results show: first, the proposed airport traffic complexity metric quite satisfactorily reflects the influence of traffic characteristics upon the environmental state of the system, and second, different ATM strategic and tactical measures (airport airfield infrastructure development and applied ATC tactics) could significantly reduce traffic complexity and increase time and environmental efficiency at the airport.     

A large neighborhood search heuristic to establish an optimal ad-hoc hubbing strategy in the wake of a large-scale airport outage

Abrupt airport outages can cause diversions and fuel-critical situations for flights, leading to costly passenger misconnections. We develop a large neighborhood search heuristic to optimize the rerouting of flights bound for a disrupted airport to a hub airport that is not disrupted, with the goal of accommodating passengers on existing flights departing the non-disrupted hub. The objective of the heuristic is to identify and reroute flights to the ad-hoc hub(s) – non-disrupted hub airport(s) – that minimize the sum of passenger travel time and wait time. We minimize the passenger cost as the sum of passenger travel time to the diversion airport and wait time for a connecting flight at the ad-hoc hub airport, subject to on-board fuel and diversion airport capacity constraints. We use the heuristic to determine how a coordinated traffic management strategy could have diverted flights immediately following a real-world airport outage.     

The effects of service quality dimensions and passenger characteristics on passenger's overall satisfaction with an airport

The objective of this paper is twofold. First, to identify service quality dimensions related to airports. Second, to examine the effects of those dimensions on passenger's overall satisfaction with an airport together with variables related to passenger characteristics. Data from an extensive survey applied in a main Brazilian international airport were used. Exploratory factor analysis was applied to extract dimensions of airport service quality as perceived by the passengers. The effects on the overall satisfaction level were estimated using a probabilistic approach. Findings underline implications regarding the use of meaningful service dimensions instead of a large set of variables as predictors of passenger satisfaction. Moreover, the study stresses the need for considering how passenger characteristics may be related to different perceived levels of service quality.     

Analysis of airport weather impact on on-time performance of arrival flights for the Brazilian domestic air transportation system

Air traffic operations are significantly impacted by weather conditions. These external factors may impose operational constraints and generate demand-capacity imbalances, leading to reduced on-time performance, additional airline costs and inconveniences to passengers. Efficient management of such disruptions requires an understanding of the main causes of flight delays towards increasing their predictability. In this study, we investigate the impacts of airport surface weather conditions on the likelihood of flight delays for the Brazilian domestic air transportation system. We use historical flight schedule, on-time performance and weather data and estimate a logit model to analyze how different meteorological variables at the airport of destination affect the probability of a delayed arrival. We obtain empirical evidence for the impacts of low ceiling and visibility conditions, precipitation and wind gusts on the likelihood of arrival delays for the set of Brazilian airports analyzed.     

Location of cargo terminals in metropolitan areas of developing countries: the Brazilian case

This article presents a procedure for establishing and ranking the areas that are candidates for building truck cargo terminals, based on the analytic hierarchy process (AHP) and considering location factors, with focus on accessibility considerations, expressed by indicators derived from graph theory. Accessibility is thus defined objectively for each area, contemplating its needs regarding production or consumption of cargo or promotion of intermodal transport of products. The proposed approach determines the most suitable area for locating the terminal according to the perception of each actor participating in the process as well as the set of actors, seeking to conjugate conflicting interests and facilitate convergence and the establishment of negotiated solutions. With this, it provides a more transparent and participative decision-making process and supplies basic elements for government bodies to formulate their socioeconomic development policies. The application of this procedure in the greater Rio de Janeiro metropolitan region demonstrated its feasibility in developing countries and in contexts with restricted data, funding and planning.     

The formulation and evaluation of transport route planning alternatives: a spatial decision support system for the Via Baltica project,Poland

Transport planning plays an undeniably key role in the economic growth of any region. However, when done heedlessly this planning can be detrimental to the biophysical and social environment of the region. In transport route planning generally one or a few alternative routes are proposed, usually representing the interest of the proponent. If required, an environmental impact assessment is carried out on these alternatives. Although, EIA and SEA are meant to be effective in taking informed decisions about the proposed route, these alternatives – the heart of impact assessment – are themselves devised in a subjective and non-spatial manner.Such an approach may easily overlook routes, which could otherwise have been more suitable. A planning system that directly takes into account environmental and socio-economic considerations in selecting alternative routes facilitates sustainable development. This paper presents a holistic and coherent spatial multi-criteria network analysis method for the generation of optimal routing alternatives under different policy visions, in a network of existing roads.The presented methodology was case-tested for the highly contested 340 km portion of the Via Baltica corridor in Poland, a part of the trans-European transport network (TEN-T) program. The methodology shows its ability to serve as a versatile effect-based decision support system for transport route planning at a strategically higher level of planning, particularly for (geographically) large-scale investment schemes.     

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.