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Evaluating the economic impact of airports is crucial for understanding the benefits they bring to a region. However, when an area has more than one airport, it becomes essential to analyze each airport's contribution to the local economy to make informed investment and policy decisions. Thus, studying economic models that can distinguish each airport's impact on the region's economy becomes essential. In this context, this paper aims to compare three different approaches to determine the economic contributions of airports in a given region and identify their social and economic benefits. The International Civil Aviation Organization recommends using input–output analysis in this context. The study considered three weight factors for the input–output basic model: circular buffer, displacement time, and Huff's gravitational model. The analysis was performed using the three largest airports in São Paulo state, Brazil, due to their proximity and influence on the surrounding areas. The models were compared based on their efficiency and accuracy in reflecting the reality of the case study context. The study identified the most suitable model for establishing correlations between investments made in airport infrastructure and the generation of gross domestic product, employment, and added value. This study fills a gap in the existing literature by proposing improvements to the methods for evaluating airports' economic and social benefits. In recent times, airport investors, both in the government and private sectors, have become increasingly demanding in their need for accurate analyses before making investments. Therefore, the results of this paper will provide valuable insights into the benefits of investing in airport infrastructure and help policymakers and investors make informed decisions. [ABSTRACT FROM AUTHOR]

SUMMARY This work presents a methodology to evaluate the level of service (LOS) of an airport baggage claim. A psychometric scaling technique is employed to obtain quantitative data from qualitative [...]

Understanding how operational procedures and demand growth can influence the check-in level of service (LoS) is an important issue for airport operators, but the importance of these factors has never been determined. With the aim of filling this gap, this paper proposes a method to evaluate the main variables that can influence the LoS of an international airport check-in. The methodology used for this study included the collection and processing of data, infrastructure analysis, software simulation of 273 scenarios and non-linear regression. São Paulo–Guarulhos international airport, Brazil, was used as a case study. The main results suggest that, among operational procedures, the processing time at counters is the most important factor, followed by the number of counters per airline, the use of self-service technologies and the opening time of the check-in desks. Airport operators must be aware of increases in flight load factors and the addition of new flights to adjust the need for counters for each airline. [ABSTRACT FROM AUTHOR]

This paper analyses and quantifies the impact of demand and airport characteristics on the level of service (LoS) provided to passengers at baggage claim areas. A computer simulation was used to analyse operations and generate LoS indicators under various alternative scenarios. In total, 720 scenarios for domestic baggage claim facilities were analysed in this research. With Brazil hosting the Football World Cup and the Olympic Games, studies on baggage claim areas and airport characteristics are very important to ensure that Brazilian airports are ready for the anticipated volume of traffic demand. São Paulo/Guarulhos international airport was used as a case scenario and collection of data at this airport was only possible for domestic flights. The factors that oscillated most in the variable response (average waiting time) were the time taken for baggage to be moved from the aircraft to the carousel and the time passengers take to get from the aircraft to the carousel. This indicates that these two factors are those that have the greatest influence on average waiting times at the baggage claim area and suggests that management at the airport should pay considerable attention to the management/coordination of activities responsible for these variables. [ABSTRACT FROM AUTHOR]

SUMMARY This paper presents a linear programming model designed to determine the optimum fuel loading quantities along a route network for a Brazilian domestic airline. Assuming that there are no volume purchase or storage capacity restrictions on each station, the analysis is carried out for one aircraft on one day of its schedule. Results are extrapolated for a monthly and yearly basis. Through the proposed model, it is seen that such a fuel tankering technique leads to a 5% economical saving, but produces a 1% additional fuel burn. A discussion on the environmental impact for this procedure is also proposed. Copyright © 2011 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]