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Article
Transportation
Ahmed Abdelghany et al.
Summary: This study proposes three machine learning models to estimate flight block time for commercial airlines based on explanatory variables known during the flight planning process. Data from 2019 domestic flights in the U.S. is collected to analyze the variability of actual block time and identify significant factors influencing the variations. The results indicate that seasonality, aircraft type, departure/arrival hour, and airport congestion are important variables in explaining block time variations. However, the ML models show limited accuracy in predicting block time compared to a median-based approach. The study also evaluates the trade-off between block time padding and expected flight delays, as well as the differences in airlines' block time padding strategies.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2023)
Article
Transportation
Izaak L. Geursen et al.
Summary: Current state-of-the-art airline planning models have computational limitations. This article explores the applicability of machine learning techniques for airline planning and develops an A2C algorithm for fleet planning. The experimental results show that the A2C algorithm outperforms deterministic models and deep Q-network algorithm in terms of computational efficiency and complexity.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2023)
Article
Education & Educational Research
Davy Tsz Kit Ng
Summary: The COVID-19 pandemic has accelerated the digital transformation of universities worldwide. This study presents a case study of an online aviation learning program that engaged 108 university students from Mainland China and Hong Kong. By utilizing digital technologies and expanding the reach of the program, more students were attracted and their knowledge and motivation were enhanced.
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY
(2022)
Article
Transportation
Tony Diana
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2022)
Article
Economics
Cho Yin Yiu et al.
Summary: This study analyzed the future career prospects for Hong Kong aviation students in the post-pandemic period, finding that there was no significant difference in perceived career obstacles between students with and without specialized training. However, final-year students felt they lacked non-technical skills more than non-final-year students. Additionally, students showed an increasing interest in broadening their career options.
Article
Transportation
Peter Miani et al.
Summary: This study explores Australian undergraduate aviation students' perceptions of the industry and the skills needed for success post-COVID-19. Findings suggest students recognize the industry oversupply and are seeking support in developing non-technical skills to enhance competitiveness post-graduation. Universities should adapt programs to better prepare students for challenges in the post-COVID-19 aviation industry.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2021)
Article
Transportation
Aniel Jardines et al.
Summary: Convective weather has caused significant delays in European airspace in recent years, and climate experts predict an increase in frequency and intensity in the future. By analyzing historical data and using machine learning algorithms, solutions can be found to mitigate the impact of convective weather events. The study developed regression and classification supervised learning algorithms to predict airspace performance characteristics, with data sources including EUROCONTROL and EUMETSAT.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2021)
Article
Engineering, Industrial
Sebastian Wandelt et al.
Summary: This study proposes estimating and improving the robustness of transportation systems by utilizing the presence of communities in complex network representations. The community structure and the edges connecting communities help to create a framework for better analysis and protection of transportation systems efficiently and scalably.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Economics
Xiaoqian Sun et al.
Summary: COVID-19 has highlighted the potential for rethinking air transportation towards pandemic-resilient systems. Challenges in technological innovation and education of aviation professionals need to be addressed in order to seize opportunities for restructuring the aviation industry in a pandemic-resilient way.
Article
Transportation
Dothang Truong
Summary: This study used causal machine learning algorithms to predict the probability of flight delays in air transportation. The results showed that factors such as reported arrivals and departures, airport demands, capacity, efficiency, and traffic volume significantly impact the risk of flight delays, with causal relationships and network models demonstrating how these factors interact.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2021)
Article
Transportation
Suchithra Rajendran et al.
Summary: This research focuses on using machine learning algorithms to predict the demand for air taxi urban air mobility (UAM) services in different geographic regions of New York City at different times of the day. The experimental results suggest that gradient boosting consistently provides higher prediction performance, and specific locations, time periods, and weekdays have emerged as critical predictors.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2021)
Article
Transportation
Alvaro Rodriguez-Sanz et al.
Summary: The study utilizes machine learning techniques to analyze queue behavioral patterns at check-in and security controls in airports, aiming to predict and implement appropriate response policies. Random Forest algorithms are used to develop different models for parameter prediction and identify fundamental elements explaining queue behavior and predicting target variables through feature analysis techniques.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2021)
Review
Transportation
Filipe R. Lucini et al.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2020)
Article
Transportation
Ozge Peksatici et al.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2019)
Review
Engineering, Civil
Xiaoqian Sun et al.
JOURNAL OF ADVANCED TRANSPORTATION
(2017)
Article
Transportation
Seock-Jin Hong et al.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2016)
Article
Education & Educational Research
Devinder K. Yadav
INDUSTRY AND HIGHER EDUCATION
(2012)
Article
Management
Aleksandar Ilic et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2010)
Article
Education & Educational Research
Mahesh S. Raisinghani et al.
INTERNATIONAL JOURNAL OF DISTANCE EDUCATION TECHNOLOGIES
(2005)
