Modeling the flight departure delay using survival analysis in South Korea

Kim, Myeonghyeon; Bae, Jiheon

doi:10.1016/j.jairtraman.2020.101996

Cited by 15 publications

(3 citation statements)

References 43 publications

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“…3 Raw flight operations data, known as tower logs, include the departure/arrival airport (route), flight number, scheduled and actual departure (arrival) time, number of passengers, cargo weight, etc. ( Kim and Bae, 2021 ; Kim and Park, 2021 ). We received the data from Incheon international airport Corporation (IIAC) and Korea Airport Corporation (KAC), which manage the other airports in South Korea.…”

Section: Methodsmentioning

confidence: 99%

Passenger, airline, and policy responses to the COVID-19 crisis: The case of South Korea

Kim

Sohn

2022

Journal of Air Transport Management

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In recent years, domestic and international air passenger markets have expanded steadily around the world with the rapid growth of low cost carriers and aggressive route expansion; however, the unprecedented crisis caused by the coronavirus disease 2019 (COVID-19) pandemic resulted in greatly decreased air travel and an uncertain future for the aviation industry. The present study examined South Korean passengers, airlines, and government policy responses to the COVID-19 pandemic, and it suggests policy directions for the pandemic and post-pandemic periods. Air passengers respond to internal and external factors, and their demand for travel will increase with the reduction in global COVID cases and vaccine distribution. South Korean airlines have used various means to overcome decreased passenger numbers, such as domestic route transitions, freight transportation expansion, and mergers and acquisitions; Korean Air recorded a profit through its foray into cargo transport in 2020. The Korean government is trying to curb the spread of COVID-19 and help the industry to recover by establishing an airport quarantine system at Incheon international airport. As the COVID-19 pandemic continues, it is necessary to continuously monitor the responses of passengers, industry, and governments and to share relevant information.

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Section: Methodsmentioning

confidence: 99%

Passenger, airline, and policy responses to the COVID-19 crisis: The case of South Korea

Kim

Sohn

2022

Journal of Air Transport Management

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“…Metode regresi ini dilakukan untuk mengidentifikasi pengaruh antara peubah acak terhadap waktu survival sebagai variabel terikatnya [8] . Selanjutnya, model cox proportional hazard juga berfungsi untuk menganalisis hubungan antara hazard resiko dengan variabelvariabel utama yang mempengaruhi fungsi survival [9] . Kejadian-kejadian yang menjadi pokok bahasan dalam regresi ini merupakan masalah yang dapat dilihat dalam kehidupan sehari-hari.…”

Section: Pendahuluanunclassified

Perbandingan Metode Efron dan Breslow pada Regresi Cox Propotional Hazard yang Mengandung Ties

Imran¹,

Nashar

Nurwan

et al. 2023

JOSTECH

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This study concerned to apply the Cox proportional hazard regression model to the incidence of ties using two approaches, namely the Efron approach and the Breslow approach, and find out its application in cases of dengue hemorrhagic fever at Dr. Hasri Ainun Habibie Hospital, Gorontalo Regency. Dengue hemorrhagic fever data was taken from Dr. Hasri Ainun Habibie Hospital, Gorontalo Regency. There were seven variables considered in this study, namely age, sex, Hemoglobin, Erythrocytes, Leukocytes, Platelets, and type of treatment. Then tested the proportional hazard assumption, all variables met the proportional hazard assumption and were included in the model. After testing the Cox best model, the two approaches used gave different results where there was one significant variable, namely, leukocytes in the Efron approach, while there was no single variable. significant based on the Breslow approach

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“…Later research noticed that turnaround buffer time is taken as a means to reduce propagated delays from previous flight legs. Estimation methods, including survival analysis, quantile regression, and Bayesian models, are used to analyze flight departure delay with delay propagation-related factors [10][11][12][13]. Beside the effect of delay propagation on turnaround, researchers also notice this effect when a flight is airborne.…”

Section: Literature Reviewmentioning

confidence: 99%

A Comparative Analysis of Delay Propagation on Departure and Arrival Flights for a Chinese Case Study

Zhe

Wei

2021

Aerospace

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In recent years, flight delay costs the air transportation industry millions of dollars and has become a systematic problem. Understanding the behavior of flight delay is thus critical. This paper focuses on how flight delay is affected by operation-, time-, and weather-related factors. Different econometric models are developed to analyze departure and arrival delay. The results show that compared to departure delay, arrival delay is more likely to be affected by previous delays and the buffer effect. Block buffer presents a reduction effect seven times greater than turnaround buffer in terms of flight delays. Departure flights suffer more delays from convective weather than arrival flights. Convective weather at the destination airport for flight delay has a greater impact than at the original airport. In addition, sensitivity analysis of flight delays from an aircraft utilization perspective is conducted. We find that the effect of delay propagation on flight delay differs by aircraft utilization. This impact on departure delay is greater than the impact on arrival delay. In general, specific to the order of flights, the previous delay increases the impact on flight on-time performance as a flight flies a later leg. Buffer time has opposite effects on departure and arrival delay, with the order increasing. A decrease in buffer time with the order increasing, however, still has a greater reduction effect on departure delay than arrival delay. Specific to the number of flights operated by an aircraft, the more flights an aircraft flies in a day, the more the on-time performance of those flights will suffer from the previous delay and buffer time generally.

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Modeling the flight departure delay using survival analysis in South Korea

Cited by 15 publications

References 43 publications

Passenger, airline, and policy responses to the COVID-19 crisis: The case of South Korea

Passenger, airline, and policy responses to the COVID-19 crisis: The case of South Korea

Perbandingan Metode Efron dan Breslow pada Regresi Cox Propotional Hazard yang Mengandung Ties

A Comparative Analysis of Delay Propagation on Departure and Arrival Flights for a Chinese Case Study

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