Demanda aeroportuária de Manaus e sua influência para o setor de turismo da região

Falcão, Viviane Adriano

doi:10.1590/s2238-10312013000100008

Cited by 7 publications

(4 citation statements)

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“…In the research of the variables applied in the literature on demand for air transport, it was shown that for the study of an econometric model to forecast passenger demand, which is usually based on microeconomic analyzes, the best response to the model is a macroeconomic variable such as GDP. The importance of GDP for the definition of demand estimates can also be seen in the works presented by BNDES ( 2001), Sivrikaya and Tunç (2013), Falcão (2013), Valdes (2015), Wadud (2015), ABEAR (2015), Hakim and Merkert (2016) and Hakim and Merkert (2019).…”

Section: Resultsmentioning

confidence: 87%

“…Econometric models are widely used in demand studies (Karlaftis et al, 1996;Tsekeris, 2009;Marazzo et al, 2010;Kopsch, 2010;Falcão, 2013;Valdes, 2015;Wadud, 2015;Merkert, 2016;Merkert, 2019) to understand the importance of theoretical and experimental factors, as well as to forecast them within a certain margin of error and confidence interval. The demand forecast is the result of the relationship of independent variables, obtained through mathematical and statistical models.…”

Section: Application Of An Econometric Model To the Regional Aviation Market In Brazilmentioning

confidence: 99%

“…Based on economic theory and consulted literature (Falcão, 2013;Valdes, 2015;Wadud, 2015;Merkert, 2016;Merkert, 2019), the main variables for the demand forecast of a product are its price, the consumer income and the cost of related products.…”

Section: Econometric Modelingmentioning

confidence: 99%

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Air Transport Demand Forecast to Making the Regional Aviation Sustainable in Northeast of Brazil

Sampaio¹,

Andrade²,

Falcão³

et al. 2021

JSD

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Both researchers and Government Agencies see aviation as an important driver for regional development and national integration. Thus, this sector has been a matter of concern for the government who has ways to stimulate the aero activity. The Regional Aviation Development Program (PDAR) has been currently under development implemented in Brazil. This program foresees public investments in airport infrastructure and operational subsidies for airlines to enhance the sector operation and increase the number of locations served by regional aviation. This paper presents a model for estimating passenger demand potential through multiple linear regression to cover the great majority of the federative units (states) of Pernambuco, Paraíba, Rio Grande do Norte, Ceará, and Piauí in the northeast of Brazil. Subsequently, localities are suggested to optimize the resources of the PDAR, and we concluded that it is likely that there are regions with higher demand potential than some regions, which are already served by the airlines. Hence, we assumed that by strategically directing investments to specific localities, companies operate without subsidies, which in turn can be directed to airlines used to integrate the country. This making regional aviation more sustainable leading development to isolated localities, and thus efficiently contributing to reducing the Brazilian social inequality.

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Section: Resultsmentioning

confidence: 87%

Section: Application Of An Econometric Model To the Regional Aviation Market In Brazilmentioning

confidence: 99%

See 1 more Smart Citation

Air Transport Demand Forecast to Making the Regional Aviation Sustainable in Northeast of Brazil

Sampaio¹,

Andrade²,

Falcão³

et al. 2021

JSD

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“…The linear regression was used to verify the influence of air transport on CO 2 emissions, (26)(27)(28)(29)(30). The dependent variable is CO 2 emissions, and the independent variables are GDP, population, and the main component.…”

Section: Exploratory Data Analysismentioning

confidence: 99%

CO₂ Emissions in Air Transport: A Comparative Study Using Data Envelopment Analysis

Queiroz Júnior,

Celestino,

de Souza

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The international community has been actively addressing the issue of reducing carbon dioxide (CO2) emissions, as evidenced by various initiatives such as Rio 92, Rio +20, the Paris Agreement, and the 2030 Agenda. These endeavors aim to promote sustainability worldwide. While air transport accounts for only 2% of anthropogenic CO2 emissions, its projected growth has spurred the exploration of new technologies to enhance aircraft efficiency. Consequently, further studies are necessary to assess the efficiency and impact of air transport on CO2 emissions in most countries. A methodology utilizing data envelopment analysis (DEA) is proposed in this study for this purpose. This methodology correlates the structure and annual air movement of 21 countries with CO2 production, considering it an undesirable output. The clustering method establishes the relationship between DEA efficiency, the number of airports, air traffic movements (landings and take-offs), and annual economic factors such as gross domestic product in these countries. Additionally, a regression analysis is conducted to examine the influence of air transport on CO2 emissions from transport systems. The findings reveal that the U.S. and China exhibit low efficiency as outliers because of their significant economic disparities. Other countries are grouped based on economic similarities, with South American nations such as Colombia and Chile showing lower air traffic movement efficiency compared with economically powerful European countries such as the UK and Germany. However, the impact of air transportation variables on CO2 emissions remains substantial.

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COVID-19: The Vaccination Program and Its Influence on Air Travel Demand in the U.S.A.

Fernandes,

Falcão,

Silva

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Aviation was one of the sectors most affected by the COVID-19 pandemic. Therefore, this study aims to estimate the return of civil aviation in the U.S.A. after the start of the immunization campaign to combat the pandemic. The research is based on vaccination records after immunization started. First, we applied an ordinary least squares regression, which considers the sum of aircraft arrivals and landings as a dependent variable and the number of vaccine doses administered to the U.S. population as an independent variable. In addition, we examined the effect of the start of the COVID-19 pandemic and then the vaccination program on total aircraft movements. Finally, a regression analysis with a correction for heteroscedasticity was conducted, using the variables previously mentioned. We observed that the vaccination program was necessary to help the aviation sector recover enough in the U.S.A. to achieve the minimum number of operations that had taken place in 2019 at U.S. airports.

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Demanda aeroportuária de Manaus e sua influência para o setor de turismo da região

Cited by 7 publications

References 1 publication

Air Transport Demand Forecast to Making the Regional Aviation Sustainable in Northeast of Brazil

Air Transport Demand Forecast to Making the Regional Aviation Sustainable in Northeast of Brazil

CO₂ Emissions in Air Transport: A Comparative Study Using Data Envelopment Analysis

COVID-19: The Vaccination Program and Its Influence on Air Travel Demand in the U.S.A.

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Demanda aeroportuária de Manaus e sua influência para o setor de turismo da região

Cited by 7 publications

References 1 publication

Air Transport Demand Forecast to Making the Regional Aviation Sustainable in Northeast of Brazil

Air Transport Demand Forecast to Making the Regional Aviation Sustainable in Northeast of Brazil

CO2 Emissions in Air Transport: A Comparative Study Using Data Envelopment Analysis

COVID-19: The Vaccination Program and Its Influence on Air Travel Demand in the U.S.A.

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Product

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CO₂ Emissions in Air Transport: A Comparative Study Using Data Envelopment Analysis