Journal of Air Transport Management最新文献

Towards a typology of airline vertical strategies 走向航空公司垂直战略的类型学

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-05-02 DOI: 10.1016/j.jairtraman.2025.102810

Lars-Michael Wendel , Sascha Albers , Wouter Dewulf

引用次数: 0

More seats, more tourists? Evidence from Peru1 更多的座位，更多的游客？来自秘鲁的证据

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-05-02 DOI: 10.1016/j.jairtraman.2025.102796

Jesús Gutiérrez, Enzo Defilippi

引用次数: 0

Advanced Air Mobility(AAM)and emergency services: The Association of Southeast Asian Nations(ASEAN)Case study 先进的空中机动能力（AAM）和紧急服务：东南亚国家联盟（东盟）案例研究

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-16 DOI: 10.1016/j.jairtraman.2025.102787

Dimitrios Ziakkas, Hans C. Natakusuma

{"title":"Advanced Air Mobility(AAM)and emergency services: The Association of Southeast Asian Nations(ASEAN)Case study","authors":"Dimitrios Ziakkas, Hans C. Natakusuma","doi":"10.1016/j.jairtraman.2025.102787","DOIUrl":"10.1016/j.jairtraman.2025.102787","url":null,"abstract":"<div><div>The research paper explores the potential benefits of integrating electric Vertical TakeOff and Landing (eVTOL) aircraft into emergency medical services (EMS) in the ASEAN-5 countries (Indonesia, Malaysia, the Philippines, Thailand, and Singapore). The study addresses significant urban traffic congestion, which hinders efficient emergency response, and evaluates how eVTOL EMS can mitigate these issues. The methodology employs a mixed-method approach over six months, combining qualitative case studies and quantitative surveys to assess public perception, operational challenges, and the effectiveness of eVTOL EMS. Key findings indicate high public support for eVTOL EMS, primarily due to anticipated faster response times and reduced traffic delays. However, challenges such as regulatory differences, infrastructure limitations, and workforce constraints must be addressed to implement eVTOL EMS successfully. The paper concludes that while eVTOL EMS shows promise, further research and strategic planning are essential to optimize its integration into the ASEAN region's urban emergency services and a proposed structure for future ICAO annexes.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"126 ","pages":"Article 102787"},"PeriodicalIF":3.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143832558","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

Impacts of the COVID-19 pandemic on airline performance and tourism demand: Evidence from a quasi-natural experiment in Southwest China 新冠肺炎疫情对航空公司业绩和旅游需求的影响——来自西南地区准自然实验的证据

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-11 DOI: 10.1016/j.jairtraman.2025.102797

Chuntao Wu , Hongmeng Yan , Wenjing Xue , Yonglei Jiang

{"title":"Impacts of the COVID-19 pandemic on airline performance and tourism demand: Evidence from a quasi-natural experiment in Southwest China","authors":"Chuntao Wu , Hongmeng Yan , Wenjing Xue , Yonglei Jiang","doi":"10.1016/j.jairtraman.2025.102797","DOIUrl":"10.1016/j.jairtraman.2025.102797","url":null,"abstract":"<div><div>This paper empirically investigates the factors that impact airline performance and the effects of airline performance on domestic tourism demand considering the impact of the COVID-19 pandemic. Firstly, the Tobit model is employed to study the significant factors and underlying mechanisms that affect flight cancellation rate. Secondly, the panel vector autoregressive model (PVAR) is applied to quantitatively measure the degree and duration of the impact of COVID-19 on flight frequency and passenger numbers. Finally, the possible impact of airline performance (flight frequency) on tourism demand during the COVID-19 pandemic is further discussed. The results suggest that travel bans, the number of confirmed cases in destination, route diversity, and share of low-cost carriers’ seats are the main reasons for the rise in flight cancellation rate, while high load factors reduce flight cancellations. Meanwhile, the negative impacts of new COVID-19 cases on both flight frequency and tourism demand gradually attenuated to stability over the study period with a lag effect. In addition, as the impact of the pandemic and travel policies gradually diminishes, airline operation recovers faster and earlier than tourism demand, indicating the airline industry may play a key role in the revival of tourism. The findings contribute to the relevant debates on the ‘air access–tourism’ relationship by taking major emergencies as a quasi-natural experiment.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"126 ","pages":"Article 102797"},"PeriodicalIF":3.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817249","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

Identifying alternative airports in weighted air transport networks 在加权航空运输网络中确定备选机场

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-11 DOI: 10.1016/j.jairtraman.2025.102792

Woratat Leelaworaset, Kashin Sugishita, Shinya Hanaoka

引用次数: 0

A study on the strategic behavior of players participating in air-rail intermodal transportation based on evolutionary games 基于演化博弈的空铁联运参与者策略行为研究

IF 3.9 2区工程技术

Journal of Air Transport Management Pub Date : 2025-04-11 DOI: 10.1016/j.jairtraman.2025.102793

Bo Sun , Zehui Xu , Ming Wei , Xin Wang

{"title":"A study on the strategic behavior of players participating in air-rail intermodal transportation based on evolutionary games","authors":"Bo Sun , Zehui Xu , Ming Wei , Xin Wang","doi":"10.1016/j.jairtraman.2025.102793","DOIUrl":"10.1016/j.jairtraman.2025.102793","url":null,"abstract":"<div><div>This study elaborated a tripartite evolutionary game model of civil aviation, high-speed rail (HSR), and passengers in an air-rail intermodal transport system (ARITS). It is used to find the optimal interaction between civil aviation, HSR, and passengers on non-direct journeys, as expressed in payoffs of the three players and decision-making behaviors in game. Payoff matrices of three game players were created considering travel time, fare, and mileage cost. The replicated dynamic equations were then derived to analyze the stability of the evolutionary model and the dynamic behavior of each game player under the initial status. Finally, a case of five transport corridors in China was conducted to assess the effects of such key factors as discounted fares, travel time, and mileage costs on the evolutionary trend and final strategy. The results strongly indicated that each game player would tend to choose the strategy with the highest payoff, in which civil aviation and HSR were ultimately inclined to a cooperative strategy while passengers eventually preferred to support the construction of ARITS. Besides, the variation of each game player's factors affected the trend of the tripartite evolutionary game. Still, only the discount on fares may change the final strategies of three game players, in which civil aviation would be more likely to change into a competitive strategy due to individual interests.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"126 ","pages":"Article 102793"},"PeriodicalIF":3.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817163","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

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