Journal of Air Transport Management最新文献_第4页

Network structures in air transportation: A comprehensive review of applications and challenges 航空运输中的网络结构：应用和挑战的综合回顾

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-11 DOI: 10.1016/j.jairtraman.2025.102794

Sebastian Wandelt, Shuang Wang, Xinyue Chen, Changhong Zheng, Shuming Chang, Xiaoqian Sun

{"title":"Network structures in air transportation: A comprehensive review of applications and challenges","authors":"Sebastian Wandelt, Shuang Wang, Xinyue Chen, Changhong Zheng, Shuming Chang, Xiaoqian Sun","doi":"10.1016/j.jairtraman.2025.102794","DOIUrl":"10.1016/j.jairtraman.2025.102794","url":null,"abstract":"<div><div>Air transportation and its subsystems constitute complex systems with various interactions between its components. This leads to an ubiquitous presence of networks in many aspects of the industry, be it in the context of connectivity, efficiency, or resilience. This study presents a comprehensive survey of existing literature about networks and their usage in air transportation, highlighting the critical role that network structures play for the industry. Our review encompasses various types and dimensions of air transport-related networks. The application areas in our review cover, among others, connectivity/efficiency analysis, resilience, delay propagation, disease spreading, strategic airline planning, as well as operational airline scheduling. For each subject, we highlight advancements in network modeling and simulation techniques, alongside pointers into empirical studies that provide insights into the real-world application of network theories in air transport. By synthesizing findings from diverse research streams and publication venues, our review aims to identify existing overlaps/potential synergies and also reports on emerging trends, gaps, and future research directions.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"126 ","pages":"Article 102794"},"PeriodicalIF":3.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Challenges in urban air mobility implementation: A comparative analysis of barriers in Germany and the United States 城市空中交通实施的挑战：德国和美国障碍的比较分析

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-11 DOI: 10.1016/j.jairtraman.2025.102780

Mohammad Sadrani , Filippos Adamidis , Laurie A. Garrow , Constantinos Antoniou

{"title":"Challenges in urban air mobility implementation: A comparative analysis of barriers in Germany and the United States","authors":"Mohammad Sadrani , Filippos Adamidis , Laurie A. Garrow , Constantinos Antoniou","doi":"10.1016/j.jairtraman.2025.102780","DOIUrl":"10.1016/j.jairtraman.2025.102780","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) is a transport system enabling the movement of people and goods within urban areas using electric vertical take-off and landing (eVTOL) aircraft. Nonetheless, this concept remains an emerging technology with various challenges that can hinder its implementation. This research introduces a Multi-Criteria Decision-Making (MCDM) framework to prioritize barriers to UAM implementation in Germany and the USA. We identify 26 barriers across technological, economic, social, environmental, and operational aspects through a comprehensive literature review and expert interviews. Using the Fuzzy Best-Worst Method (FBWM), we determine the weight of each barrier based on input from industry and academic experts in Germany and the USA. Our findings reveal that economic aspects pose the greatest challenge in Germany, followed by social, operational, technological, and environmental aspects. In the USA, operational aspects are the most significant, followed by technological, economic, social, and environmental aspects. The operational aspect shows the largest difference between the two countries, while the environmental aspect shows the least. Globally, the top three barriers in Germany are price affordability, investment uncertainty, and user acceptance concerns. In the USA, the top three barriers are airspace utilization challenges, remote/autonomous operations, and system safety and cybersecurity issues, which rank tenth, twelfth, and sixteenth, respectively, in Germany. We also discuss the potential implications of our findings, offering strategies to effectively address high-priority barriers.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"126 ","pages":"Article 102780"},"PeriodicalIF":3.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamically forecasting airline departure delay probability distributions for individual flights using supervised learning 利用监督学习动态预测单个航班的航班起飞延误概率分布

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-11 DOI: 10.1016/j.jairtraman.2025.102788

Maarten Beltman , Marta Ribeiro , Jasper de Wilde , Junzi Sun

{"title":"Dynamically forecasting airline departure delay probability distributions for individual flights using supervised learning","authors":"Maarten Beltman , Marta Ribeiro , Jasper de Wilde , Junzi Sun","doi":"10.1016/j.jairtraman.2025.102788","DOIUrl":"10.1016/j.jairtraman.2025.102788","url":null,"abstract":"<div><div>Punctuality is a key performance indicator for any airline, especially hub-and-spoke airlines, given their focus on short passenger connections. Flights that are delayed at departure need to compensate for lost time whilst airborne. Because fuelling takes place well before scheduled departure, predicted departure delays determine the planned fuel amounts for en-route speed optimization. To prevent unnecessary fuel burn, airlines benefit from highly accurate departure delay predictions. This study aims to extend previous work on airline departure delay forecasting to a dynamic and probabilistic domain, whilst incorporating novel day-of-operations airline information to further minimize prediction errors. Random Forest, CatBoost, and Deep Neural Network models are proposed for a case study on departure flights of a major hub-and-spoke airline from its hub airport between 1 January 2020 and 1 August 2023. The Random Forest model is selected for its probabilistic performance and high accuracy in predicting delays between 5 and 25 min, for which en-route speed optimization has the largest effect. At the 90 min prediction horizon, the model reaches a Mean Absolute Error of 8.46 min and a Root Mean Square Error of 11.91 min. For 76% of flights, the actual delay is within the predicted probability distribution range. Finally, this study puts a strong emphasis on explainability. Flight dispatchers are therefore provided with the main factors impacting the prediction, explaining the context of the flight. The versatility of the model is demonstrated in two shadow runs within the procedures of an international airline, where delays caused by familiar and unfamiliar factors were successfully predicted.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"126 ","pages":"Article 102788"},"PeriodicalIF":3.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on safety assessment of air traffic control in small and medium airports based on machine learning 基于机器学习的中小机场空中交通管制安全评估研究

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-08 DOI: 10.1016/j.jairtraman.2025.102790

Fanrong Sun , Di Shen , Dikai Yang , Meize Dai

引用次数: 0

The effect of financial performance on aviation carbon emissions 财务业绩对航空碳排放的影响

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-05 DOI: 10.1016/j.jairtraman.2025.102800

Shuai Yue , Weijun Liao , Qing Ji , Chunan Wang

引用次数: 0

Stochastic discrete event simulation of airline network and maintenance operations 航空网络与维修操作的随机离散事件仿真

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-05 DOI: 10.1016/j.jairtraman.2025.102789

Sara Varenna, Haonan Li, Marta Ribeiro, Bruno F. Santos

{"title":"Stochastic discrete event simulation of airline network and maintenance operations","authors":"Sara Varenna, Haonan Li, Marta Ribeiro, Bruno F. Santos","doi":"10.1016/j.jairtraman.2025.102789","DOIUrl":"10.1016/j.jairtraman.2025.102789","url":null,"abstract":"<div><div>The complexity of airline operations requires operations planning to be divided into multiple problems solved sequentially by the respective departments. This is particularly the case for (1) network planning and (2) maintenance planning. Despite the close interaction of these two departments, airlines typically evaluate plans from both domains separately. However, an integrated perspective is necessary to develop robust plans and effective recovery policies in this intrinsically uncertain environment. This paper presents a new modular, stochastic, discrete event simulation model of airline operations named ANEMOS (Airline Network and Maintenance Operations Simulation). ANEMOS contains both network and maintenance dynamics, allowing the evaluation of plans, policies, and scenarios from both domains. The model is validated using data from a major European airline. We show that the simulated results closely resemble the airline’s historical operational performance. ANEMOS is tested with a use-case investigating the effects of adding a second reserve aircraft to a fleet of fifty wide-body aircraft. The results show that the second reserve is capable of reducing cancellations by 55%. However, such does not cover the lost revenue associated with keeping an aircraft non-operational for a part of the time.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"125 ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A variant bagging forecasting framework for customer churn in airline 航空公司客户流失的变型套袋预测框架

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-04 DOI: 10.1016/j.jairtraman.2025.102795

Qiang Li , Yuangang Li , Ranzhe Jing

引用次数: 0

An empirical study investigating pilot sleep recovery patters after different time zone flights 不同时区飞行后飞行员睡眠恢复模式的实证研究

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-01 DOI: 10.1016/j.jairtraman.2025.102798

Junya Sun , Yang Liao , Ruishan Sun , Fei Lu , Yubin Zhou , Hongbo Jia

{"title":"An empirical study investigating pilot sleep recovery patters after different time zone flights","authors":"Junya Sun , Yang Liao , Ruishan Sun , Fei Lu , Yubin Zhou , Hongbo Jia","doi":"10.1016/j.jairtraman.2025.102798","DOIUrl":"10.1016/j.jairtraman.2025.102798","url":null,"abstract":"<div><div>Jet lag symptom recovery is an important challenge for pilots on flights across different time zones, but while many studies have investigated jet lag symptoms, few have examined jet lag symptom recovery in pilots, especially in empirical studies.</div><div>We used the Actigraph bracelet, a commonly used sleep monitoring tool in the Civil Aviation industry, to collect sleep quality indicators from pilots flying eastward or westward across different time zones (three flights from China to Europe and four from China to the Americas) and analyze the data to explore pilots' sleep recovery after flying across these zones.</div><div>Pilot sleep varied as an exponentially decreasing change function after crossing time zones, and after three days of rest, pilots' sleep reached base levels similar to that at three days prior to the flight.</div><div>By exploring pilot sleep recovery patterns across different number and direction of time zones, we modeled physiological processes underpinning jet lag symptom recovery and provided data supporting these patterns.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"125 ","pages":"Article 102798"},"PeriodicalIF":3.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accurate and fast-converging trajectory prediction based on Long Short-Term Memory neural networks 基于长短期记忆神经网络的精确快速收敛轨迹预测

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-03-26 DOI: 10.1016/j.jairtraman.2025.102777

Yuting Xi , Man Liang , Alessandro Gardi , Roberto Sabatini , Daniel Delahaye

{"title":"Accurate and fast-converging trajectory prediction based on Long Short-Term Memory neural networks","authors":"Yuting Xi , Man Liang , Alessandro Gardi , Roberto Sabatini , Daniel Delahaye","doi":"10.1016/j.jairtraman.2025.102777","DOIUrl":"10.1016/j.jairtraman.2025.102777","url":null,"abstract":"<div><div>With the emergence of Urban Air Mobility (UAM), the safety and efficiency of airspace operations will largely depend on the necessary evolutions of conventional Air Traffic Management (ATM) decision support systems. In this context, trajectory predictionwill be one of the most critical functions in future air traffic deconfliction services, and suitable algorithms will have to be implemented in both ground-based and airborne systems. These algorithms must be far more accurate, efficient and flexible than in present-day ATM. This study introduces a Long Short-Term Memory (LSTM)-based adjustable interpolation algorithm, which can be incorporated into future UAM decision support system architectures. In the absence of UAM operational data, the verification of the proposed algorithm focuses on a series of scenarios encompassing both airliner and helicopter flight trajectories. Results demonstrate that the proposed method reduces computation time by half without significantly sacrificing prediction accuracy compared to conventional linear interpolation methods. Furthermore, accuracy improvements of at least 50% are achieved compared to raw data, with no substantial increase in computational time. Additionally, the algorithm complexity is evaluated via big O notation analysis, showing that our proposed approach allows to train accurate prediction models efficiently even when a large amount of training iterations is required. With further developments, this algorithm shows high potential as the foundation trajectory prediction for UAM services in dense urban airspace, enhancing conflict detection and resolution capabilities and mitigating risks.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"125 ","pages":"Article 102777"},"PeriodicalIF":3.9,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Airfares adjustment to fuel price shocks: Evidence from the Brazilian airline market 燃油价格冲击下的机票调整：来自巴西航空市场的证据

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-03-24 DOI: 10.1016/j.jairtraman.2025.102785

Francisco Teixeira Raeder

{"title":"Airfares adjustment to fuel price shocks: Evidence from the Brazilian airline market","authors":"Francisco Teixeira Raeder","doi":"10.1016/j.jairtraman.2025.102785","DOIUrl":"10.1016/j.jairtraman.2025.102785","url":null,"abstract":"<div><div>Between January 2017 and July 2024, aviation kerosene prices experienced fluctuations due to external shocks. When the World Health Organization classified Covid-19 as a pandemic, in 2020, fuel prices fell drastically. However, as the global health crisis receded and governments abandoned mobility restrictions, demand for air travel progressively recovered. As a consequence, there was a rapid increase in prices. Additionally, in 2022, the conflict between Russia and Ukraine further intensified pressure on aviation fuel prices. Considering that fuel expenses constitute approximately one-third of airlines' cost structure, this study aims to analyze the relationship between aviation kerosene prices and domestic airfares in Brazil. The initial hypothesis suggests that, in an environment characterized by imperfect competition, the pass-through of prices between fuel costs and airfares occurs asymmetrically. Specifically, positive shocks in fuel prices would be quickly and fully reflected in airfare adjustments, while negative shocks would be delayed or have lesser impacts on airfares. However, results from a nonlinear autoregressive distributed lag (NARDL) model combined with the derivation of asymmetric cumulative multipliers do not support this hypothesis. Instead, evidence of symmetric pass-through was found, indicating that airfares respond symmetrically to fuel price shocks in the short term. Despite the dominance of only three companies in the domestic aviation market in Brazil, there are indications of fierce competition among airlines in the analyzed period. During periods of crisis, companies face difficulties in passing cost increases onto prices.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"125 ","pages":"Article 102785"},"PeriodicalIF":3.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0