Journal of Air Transport Management最新文献

{"title":"Evidence-based analysis on the hazard causation of general aviation in China","authors":"Wenchao Wang,&nbsp;Jian He,&nbsp;Jingjing Wang","doi":"10.1016/j.jairtraman.2025.102857","DOIUrl":"10.1016/j.jairtraman.2025.102857","url":null,"abstract":"<div><div>The insufficient hazard management capacity of general aviation enterprises has led to frequent safety incidents and placed the industry in a persistent safety dilemma. Enhancing hazard identification and control is therefore critical to improving the current unstable safety situation. This paper proposes an evidence-based analytical approach to systematically examine hazard causation in general aviation, integrating factors across human, technical, environmental, and managerial domains. Drawing on accident chain theory, a risk coefficient-based optimization model is developed, and an evidence-based hazard tracing method is constructed within the EBAS-HO framework, which builds upon and improves the HOP-HFACS model. Grey Relational Analysis and structural entropy theory are employed to assess hazard interactions and system structure. Results. The analysis of 43 accident cases identifies six key hazard factors: safety production cost, human error, occupational factors, emergency preparedness, technical safety measures, and environmental conditions. In addition, violations behavior serves as a critical mediating factor linking other variables to accident occurrence. Comparative model evaluation demonstrates that the proposed EBAS-HO framework outperforms traditional HFACS in terms of accuracy, structure, and predictive capability. Compared to conventional hazard identification approaches, the integration of evidence-based tracing and control enhances the visibility and traceability of system hazards, enabling more targeted safety interventions. This approach substantially improves hazard governance and safety management capacity in the general aviation sector.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102857"},"PeriodicalIF":3.9,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144579291","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}

{"title":"Effects of connection time on connected itineraries in Indian domestic aviation market","authors":"Mustansir Farooq,&nbsp;M. Manoj,&nbsp;K. Ramachandra Rao","doi":"10.1016/j.jairtraman.2025.102851","DOIUrl":"10.1016/j.jairtraman.2025.102851","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Connected air itineraries are an integral part of air travel. There is a mixed perception among passengers regarding connections at an intermediate airport as they present a range of difficulties, such as the chances of missing a flight, and loosing or delaying of checked-in baggage. In addition, operational issues (long inter-terminal transfers, inadequate availability of intra-airport shuttle services, delays in baggage check-in, etc.) at the airports also cause inconvenience to passengers using connected itineraries. One of the critical backend procedures to provide uninterrupted and efficient air travel for passengers is the provision of minimum connection time (MCT) at an airport for an itinerary with a connection, which is vital for flight operations. There have been discussions on the amount of time spent for a connection, and the conventional belief that passengers favour short connection times is widespread among air travellers. This study aims to analyse this hypothesis for domestic air itineraries by using a revealed preference data collected in India. A multinomial logit (MNL) specification with correction for price endogeneity is adopted to model airline itinerary choice of passengers. A recursive method in MNL is used to dynamically create the utility function to handle large and varying alternatives. For alternative choice set generation, actual (real) alternatives available to passengers are used in the MNL model. A piecewise linear specification is used to address the non-linearity of the connection time for direct itineraries (includes a stop, with no plane change) and connected itineraries (includes a stop, with a plane change). Results reveal that there is a positive influence of connection time on utilities up to 120 min for connected itineraries. The connection time duration of 90–120 min for connected itineraries is found to provide maximum utility to flyers, balancing the need for sufficient time to navigate transitions such as security checks and gate changes, while minimizing the inconvenience of extended waiting periods. For direct itineraries a connection time beyond 35 min is found to reduce the utility substantially on direct itineraries. To understand the economic significance of the connection time, the willingness to pay estimates are evaluated and validated by estimating confidence intervals using Monte Carlo simulations using a truncated normal distribution. Findings reveal that flyers are willing to pay INR 14 (USD 0.16) per minute up to 90 min and INR 30 (USD 0.36) per minute for reductions beyond 120 min for connected itineraries. In contrast, for direct itineraries, passengers are willing to pay INR 2.8 (USD 0.03) per minute for layovers up to 35 min and INR 66 (USD 0.77) per minute for reductions beyond 35 min. This paper provides insights regarding the willingness to pay for each additional minute on a connection, thereby can help carriers to schedule their connections and provide adequate connec","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102851"},"PeriodicalIF":3.9,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144579290","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}

{"title":"Do oil price fluctuations influence air travel Demand? Symmetric and asymmetric insights from Korea and Japan","authors":"Jungho Baek ,&nbsp;Soojoong Nam","doi":"10.1016/j.jairtraman.2025.102856","DOIUrl":"10.1016/j.jairtraman.2025.102856","url":null,"abstract":"<div><div>This article investigates how fluctuations in oil prices influence air travel demand in Korea and Japan, considering short- and long-term impacts. Using both ARDL and NARDL models, the study reveals that oil prices significantly influence air travel demand, with asymmetrical impacts more pronounced in Korea than in Japan. While both countries show short-term sensitivity to oil prices, Korea also experiences long-term effects. Economic growth and exchange rates are also critical factors affecting air travel demand. These findings suggest tailored policy approaches for Korea and Japan to enhance the resilience of their aviation sectors in response to oil price changes.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102856"},"PeriodicalIF":3.9,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570333","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}

{"title":"The effects of different subsidy policy modes on China’s air cargo market: The all-cargo airline and scale economies perspective","authors":"Haonan Lin,&nbsp;Jian Luo,&nbsp;Guofang Nan","doi":"10.1016/j.jairtraman.2025.102844","DOIUrl":"10.1016/j.jairtraman.2025.102844","url":null,"abstract":"<div><div>Air cargo subsidy policies are being implemented in several Chinese provinces to promote industrial development and stimulate regional economic growth. This study explores the impact of government quantity subsidies to the airline or shippers on the air cargo market. We consider the impact of these subsidy policies from the perspectives of all-cargo airline and economies of scale. Our findings show that the subsidy provided to the airline or shippers have similar effects on air cargo quantity, airline’s profits, and social welfare. However, these subsidies influence airline’s pricing decisions differently due to different payment streams. Thus, if the government focuses on air cargo volume or airline’s profit, both the airline and shipper can benefit from the subsidy policy, although social welfare may be compromised. This analysis provides managerial insights for the government to formulate air cargo policies accordingly.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102844"},"PeriodicalIF":3.9,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563860","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}

{"title":"Estimating the impacts of traffic intensity, weather conditions, and airspace structure on fuel consumption and flight time of Brazilian commercial aviation","authors":"João Basilio Tarelho Szenczuk ,&nbsp;Rogéria de A. Gomes ,&nbsp;Jorge M.R. Silva","doi":"10.1016/j.jairtraman.2025.102846","DOIUrl":"10.1016/j.jairtraman.2025.102846","url":null,"abstract":"<div><div>This study employs a statistical modeling approach to commercial aviation fuel consumption and flight time to assess air traffic management (ATM) performance. The study investigates the operational factors that impact ATM efficiency, exploring airport-specific performance. Using datasets from Automatic Dependent Surveillance - Broadcast (ADS-B) surveillance systems, the Brazilian air transport statistical database, and meteorological data, the research develops linear regression models to quantify the effects of traffic intensity, weather conditions, and airspace structure on fuel consumption and flight time. The data covers the Brazilian domestic market from 2018 to 2022, totaling more than 1.3 million flights analyzed. The findings suggest differences in the impacts of traffic intensity and adverse weather conditions among the busiest airports in Brazil. Some airports had better efficiency levels for the same traffic intensity level, while the airspace structure’s impact was somewhat more similar in all major airports. At SBGR, for example, the busiest airport in Brazil, the traffic intensity during arrivals caused about 74 kilograms of extra fuel per flight, while the airspace structure was associated with about 160 kilograms of extra fuel per flight. This research offers insights into quantifying potential savings from ATM improvements by providing a data-driven approach.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102846"},"PeriodicalIF":3.9,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549560","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}

{"title":"The impact of network optimization on airline financial performance: Evidence from China domestic routes","authors":"Yueer Zhou ,&nbsp;Wenliang Ma ,&nbsp;Yuchao Xu ,&nbsp;Xiangru Wu ,&nbsp;Linbo Li","doi":"10.1016/j.jairtraman.2025.102848","DOIUrl":"10.1016/j.jairtraman.2025.102848","url":null,"abstract":"<div><div>Network structure is a crucial strategic factor influencing airline revenue. A hub-and-spoke network can reduce airline costs due to economies of scale; however, it may lead to passenger leakage when alternative transportation modes are available. On the other hand, a point-to-point network offers greater convenience for passengers but is generally less profitable for airlines. This paper develops an optimization algorithm (Self-Regulated Ant Colony Optimization) to design a hybrid airline network that can simultaneously optimize route design and frequency setting. Then, applying a case study of the airline network of China Southern Airlines, we find that the designed hybrid network generates better financial performance, manifesting as higher revenue and larger load factors compared to the original network. At the same time, the airlines' operating time is significantly reduced. The results also indicate that, following network optimization, airlines tend to use smaller aircraft. Finally, we identify the characteristics of the suspended and newly generated routes after optimization. This paper has important policy implications for airline operations and network design.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102848"},"PeriodicalIF":3.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144534217","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}

{"title":"Air transportation and inclusive growth in Tunisia: Evidence from Autoregressive Distributed Lag and wavelet coherence approach","authors":"Manel Ouni ,&nbsp;Rafaa Mraihi","doi":"10.1016/j.jairtraman.2025.102849","DOIUrl":"10.1016/j.jairtraman.2025.102849","url":null,"abstract":"<div><div>The inclusive growth paradigm has gained significant attention, with several organizations emphasizing its importance. However, while the concept of inclusive growth remains a topic of ongoing debate, the specific role of air transportation in promoting inclusive growth remains underexplored, particularly in its capacity to enhance accessibility, promote regional development, and integrate marginalized areas into national and global economies. This study investigates the relationship between air transportation and inclusive growth in Tunisia using annual data from 1965 to 2021. This study utilized the Autoregressive Distributed Lag (ARDL) model to analyze both short- and long-term relationships between the variables. At the same time, the wavelet coherence approach is used to examine how these relationships evolve over time and across different frequencies. The results from the ARDL model indicate that air transport, foreign direct investment, and social globalization are key determinants of inclusive growth in Tunisia. Moreover, the wavelet coherence analysis reveals that these factors positively influence inclusive growth, while the wavelet causality identifies a bidirectional causality between inclusive growth and the regressors, with variations in the timing and frequency of causality. This study contributes to the growing literature on transport infrastructure and inclusive growth by providing robust methodological insights and practical policy recommendations. These findings show the critical role of air transportation as a catalyst for sustainable and inclusive growth, emphasizing the importance of targeted investments and strategic policy interventions in Tunisia.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102849"},"PeriodicalIF":3.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514265","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}

{"title":"Multi-agent learning for data-driven air traffic management applications","authors":"Chuhao Deng,&nbsp;Hong-Cheol Choi,&nbsp;Hyunsang Park,&nbsp;Inseok Hwang","doi":"10.1016/j.jairtraman.2025.102843","DOIUrl":"10.1016/j.jairtraman.2025.102843","url":null,"abstract":"<div><div>Research in developing data-driven models for Air Traffic Management (ATM) has gained tremendous interest in recent years. However, data-driven models are known to have long training time and require large datasets to achieve good performance, and the majority of proposed data-driven models ignores ATM system’s multi-agent characteristic. To fill the research gaps, this paper proposes a Multi-Agent Bidirectional Encoder Representations from Transformers (MA-BERT) model, which fully considers the multi-agent characteristic of the ATM system and outputs results based on all agents in the airspace. Additionally, compared to most data-driven models that are designed for a single application, the proposed MA-BERT’s encoder architecture enables it to be pre-trained through a self-supervised method and fine-tuned for a variety of data-driven ATM applications, saving a substantial amount of training time and data usage. The proposed MA-BERT is tested and compared with other widely used models using the Automatic Dependent Surveillance-Broadcast (ADS-B) data recorded in three airports in South Korea in 2019. The results show that MA-BERT can achieve much better performance than the comparison models, and by pre-training MA-BERT on a large dataset from a major airport and then fine-tuning it to other airports and applications, a significant amount of the training time can be saved. For newly adopted procedures and constructed airports where no historical data is available, the results show that the pre-trained MA-BERT can achieve high performance by updating regularly with small amount of data.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102843"},"PeriodicalIF":3.9,"publicationDate":"2025-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510993","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}

{"title":"The economic impact of the inoperability of the airport at a small-island tourism destination: The case of Madeira","authors":"António Almeida ,&nbsp;Luiz Pinto Machado ,&nbsp;Brian Garrod","doi":"10.1016/j.jairtraman.2025.102845","DOIUrl":"10.1016/j.jairtraman.2025.102845","url":null,"abstract":"<div><div>Climate change means that tourism on small islands is increasingly vulnerable to the disruptive effects of adverse weather conditions. Many small islands rely upon a single airport, so when weather conditions cause inbound flights to be delayed, diverted, or even cancelled, this will tend to reduce tourists' length of stay. There may also be longer-term damage to the destination's image in terms of transport reliability. This paper sets out to estimate the economic impact of weather-related flight delays and cancellations at a small-island tourism destination. Using Madeira as an example, a two-stage estimation approach was developed using both primary and secondary data. Based on the premise that around 1% of tourists are affected by delays that result in shorter stays, several scenarios were developed and estimates of their economic impacts computed. The results suggest that while the short-term economic impact may be relatively small, the longer-term effects may be more substantial.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102845"},"PeriodicalIF":3.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502424","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}

{"title":"Why a multi-airport system? A tale of three metropolitan areas in China","authors":"Fan Xiao ,&nbsp;Frédéric Dobruszkes ,&nbsp;Huihui Mo ,&nbsp;Jiaoe Wang","doi":"10.1016/j.jairtraman.2025.102847","DOIUrl":"10.1016/j.jairtraman.2025.102847","url":null,"abstract":"<div><div>Regional airport systems worldwide vary across metropolitan areas. A pertinent question is why some metropolitan areas have multiple airports. This study aimed to examine the emergence of a multi-airport system (MAS) in the emerging economy as an interdisciplinary topic at multiple scales, given that the basic transport aspects are already well understood. By comparing three metropolitan areas in China based on a qualitative case study approach, this study shows how new mega-airports are embedded in multilevel development as spatial strategies and explores how contingent factors shape different evolutionary paths of regional airport systems. It extends the understanding of MAS from a regional perspective.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102847"},"PeriodicalIF":3.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489767","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}