Are on-time performance statistics worthless? An empirical study of the flight scheduling strategies of Brazilian airlines

Eufrásio, Ana Beatriz R.; Eller, Rogéria Arantes Gomes; Oliveira, Alessandro V. M.

doi:10.1016/j.tre.2020.102186

Cited by 12 publications

(9 citation statements)

References 22 publications

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“…One of the strategies of flight delay management is flight schedule recovery, which can include adjusting the flight schedules and speeds, besides rerouting flights to minimize the impact of delays. Prince and Simon 4 , Kang and Hansen 3 , Bendinelli et al 28 , Eufrásio et al 23 , and Calzada and Fageda 29 , among many others, investigate the association between market competition and airlines’ concern with punctuality. Airport operations: refers to the management and coordination of all activities performed at the endpoint airports of a flight.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, the more delays at a given time at a specific airport, the greater the congestion. In a similar way as Eufrásio et al 23 , who estimate the effect of airport congestion on block time formation, here we inspect the effect of congestion on planned cruise and mean actual flight speeds. Greater congestion at the destination airport is expected to induce lower speeds.…”

Section: Methodsmentioning

confidence: 99%

“…( 5 ): where are route and month interacted fixed effects, that is, they accommodate route-to-route variations in each month of the year. See an alternative procedure for accommodating seasonal variation across routes in Eufrásio et al 23 and Oliveira et al 32 . With this specification, each route now has time-specific variation across the year.…”

Section: Methodsmentioning

confidence: 99%

“…Prince and Simon 4 , Kang and Hansen 3 , Bendinelli et al 28 , Eufrásio et al 23 , and Calzada and Fageda 29 , among many others, investigate the association between market competition and airlines' concern with punctuality. • Airport operations: refers to the management and coordination of all activities performed at the endpoint airports of a flight.…”

Section: Methodsmentioning

confidence: 99%

“…Forbes et al 22 note that airlines can improve their OTP by increasing the time between takeoff and scheduled landing. Eufrásio et al 23 decomposes the extra time added to the scheduled flight time between operational and strategic factors in the Brazilian air market and find evidence that reaffirms the existence of this practice. For Skaltsas 9 , a reliable schedule that reduces the propagation of delays through an airline's network increases customer satisfaction.…”

Section: Literature Reviewmentioning

confidence: 99%

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An econometric analysis for the determinants of flight speed in the air transport of passengers

Almeida

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2023

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Accurately determining an aircraft's flight speed is crucial for optimizing airline performance, as it directly impacts factors such as fuel consumption and emissions. Flying at speeds higher than what is recommended by the manufacturer can result in increased fuel burn. However, flying at slower speeds may lead to longer flight times and competitive disadvantages for airlines as passengers typically prefer shorter travel times. This study empirically investigates the driving forces in the decision-making process of airlines when setting flight speeds to reduce costs while maintaining the quality of service provided to customers. We develop econometric models of planned flight cruise speed and actual mean flight speed. We analyze a vast amount of data, comprising millions of domestic flights within Brazil. Our results allow for policy recommendations that identify opportunities for improvements in airline flight operations optimization, with implications for the environmental footprint of commercial aviation.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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An econometric analysis for the determinants of flight speed in the air transport of passengers

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Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)

Zhang,

Xu,

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et al. 2024

Neural Comput & Applic

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Accurate sector-based air traffic flow predictions are essential for ensuring the safety and efficiency of the air traffic management (ATM) system. However, due to the inherent spatial and temporal dependencies of air traffic flow, it is still a challenging problem. To solve this problem, some methods are proposed considering the relationship between sectors, while the complicated spatiotemporal dynamics and interdependencies between traffic flow of route segments related to the sector are not taken into account. To address this challenge, the attention-enhanced graph convolutional long short-term memory network (AGC-LSTM) model is applied to improve the short-term sector-based traffic flow prediction, in which spatial structures of route segments related to the sector are considered for the first time. Specifically, the graph convolutional networks (GCN)-LSTM network model was employed to capture spatiotemporal dependencies of the flight data, and the attention mechanism is designed to concentrate on the informative features from key nodes at each layer of the AGC-LSTM model. The proposed model is evaluated through a case study of the typical enroute sector in the central–southern region of China. The prediction results show that MAE reduces by 14.4% compared to the best performing GCN-LSTM model among the other five models. Furthermore, the study involves comparative analyses to assess the influence of route segment range, input and output sequence lengths, and time granularities on prediction performance. This study helps air traffic managers predict flight situations more accurately and avoid implementing overly conservative or excessively aggressive flow management measures for the sectors.

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Airline schedule buffers and flight delays: A discrete model

Brueckner

Czerny

Gaggero

2021

Economics of Transportation

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Are on-time performance statistics worthless? An empirical study of the flight scheduling strategies of Brazilian airlines

Cited by 12 publications

References 22 publications

An econometric analysis for the determinants of flight speed in the air transport of passengers

An econometric analysis for the determinants of flight speed in the air transport of passengers

Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)

Airline schedule buffers and flight delays: A discrete model

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