Journal of Air Transport Management最新文献

{"title":"A systematic review of general aviation accident factors, effects and prevention","authors":"Emma Sheffield,&nbsp;Seung-Yong Lee,&nbsp;Yahua Zhang","doi":"10.1016/j.jairtraman.2025.102859","DOIUrl":"10.1016/j.jairtraman.2025.102859","url":null,"abstract":"<div><div>General aviation, which comprises civilian aviation but excludes scheduled airline services and commercial air transport operations, continues to carry a poor safety record with a significantly higher accident rate compared to that of commercial aviation. This systematic literature review examined 46 studies to identify the most prominent causal and contributing factors to fixed-wing general aviation accidents, as well as effective measures to improve safety. Thematic analysis revealed five key themes: Human Factors (26), Training Deficiencies (21), Aircraft Characteristics (13), Pilot Characteristics (11), and Phase of Flight (9). Flight in low visibility conditions, such as instrument meteorological conditions (IMC) or night flight were consistently associated with increased fatality risk. Pilots operating under visual flight rules (VFR) without an instrument rating were especially vulnerable during inadvertent IMC encounters. Training deficiencies were another key factor, especially the lack of recurrent training in emergency procedures. Accident risk was also higher during specific flight phases: take-off, landing, and low-altitude manoeuvring were frequently associated with fatal stall/spin events due to minimal recovery margins. To mitigate these risks, targeted recurrent training is essential. Routine practice with certified flight instructors, alongside the use of approved flight simulators and distance learning, can improve both technical and non-technical pilot proficiency. Future research should investigate improved training methods, including the use of emerging technologies such as virtual and augmented reality, to enhance skill retention and reduce accident rates in general aviation.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102859"},"PeriodicalIF":3.9,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606098","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":"Dare to Fly? Analyzing psychological reactions and travel attitudes of Chinese social media users post-aviation accidents through text mining","authors":"Yunxiao Guo ,&nbsp;Jingqiang Tong ,&nbsp;Junrong Zhao ,&nbsp;Wei Pan ,&nbsp;Xiayu Du ,&nbsp;Jinghan Hu ,&nbsp;Qingfeng Yang ,&nbsp;Fangfang Wen ,&nbsp;Zhihong Ren","doi":"10.1016/j.jairtraman.2025.102858","DOIUrl":"10.1016/j.jairtraman.2025.102858","url":null,"abstract":"<div><h3>Background</h3><div>Commercial air travel is essential to modern society, but aviation accidents can have profound psychological impacts. The public's emotional responses and attitudes toward air travel are shaped by factors such as the severity of the incident and its social repercussions.</div></div><div><h3>Objectives</h3><div>The study analyzes how the Chinese public's concerns, emotional responses, attributions, and attitudes toward air travel change following aviation accidents with varying severity and social impact. Additionally, it extends the application of the emotion-social information model in disaster scenarios and online behavior, providing valuable insights for crisis management.</div></div><div><h3>Method</h3><div>The study employs the LDA topic model to identify public concerns, sentiment analysis with an affective dictionary, and Naive Bayes for emotional attribution. Comments before and after the incidents were analyzed using Wilcoxon rank tests to assess changes in attitudes toward air travel.</div></div><div><h3>Results</h3><div>Public attention focused on victims, causes, and crew responses. Severe accidents elicited sadness, while less severe incidents prompted disgust and fear. Positive societal impacts from accidents improved emotions but did not significantly affect travel attitudes. Negative emotions led to a notable shift in attitudes toward air travel, while positive emotions had a limited effect.</div></div><div><h3>Conclusions</h3><div>The study provides valuable insights into the emotional dynamics following aviation accidents, enhancing the understanding of the emotion-social information model. It highlights the lasting impact of negative emotions on travel attitudes and the limited influence of positive emotions, with implications for psychological interventions and crisis management.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102858"},"PeriodicalIF":3.9,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596434","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":"Spatial–temporal dynamics of airside congestion: A Macroscopic Fundamental Diagram perspective","authors":"Hasnain Ali,&nbsp;Xuan Tao Hoo,&nbsp;Van-Phat Thai,&nbsp;Duc-Thinh Pham,&nbsp;Sameer Alam","doi":"10.1016/j.jairtraman.2025.102850","DOIUrl":"10.1016/j.jairtraman.2025.102850","url":null,"abstract":"<div><div>Airport airside congestion, driven by the growing imbalance between air traffic demand and constrained capacity, presents significant operational challenges that affect efficiency, safety, and environmental impact. Effectively addressing this requires models that capture the complex interactions within the airside network (taxiways, runways, gates) to provide insights into traffic flow dynamics and mechanisms of congestion formation, spread, and dissipation. Traditional approaches – such as microsimulation methods and queuing models – are often either computationally demanding or focus on specific components (like runways), limiting their ability to capture broader network interactions and reducing their operational feasibility. This study proposes an alternative approach, adapting the Macroscopic Fundamental Diagram (MFD) to model airside traffic using three-dimensional aircraft trajectory data. By analyzing aggregate traffic variables – flow, density, and speed – the MFD provides a computationally efficient means of understanding airside congestion patterns and supports informed decision-making. This paper presents a novel methodology for constructing airside MFDs using A-SMGCS data from Singapore Changi Airport. The study also investigates the spatial and temporal factors contributing to congestion, offering insights into how congestion patterns develop and evolve under varying operational conditions. In the temporal domain, even during low-demand periods, departure and arrival banks contribute to congestion. Additionally, this study analyzes the impact of weather conditions on the airside network flow, highlighting the effects of variable wind and adverse weather, such as rain and thunderstorm, on airside congestion. In the spatial domain, traffic inhomogeneity – an uneven distribution of traffic on the airside network – reduces overall flow, particularly during congestion. These findings highlight the potential to improve airside capacity utilization and mitigate congestion by distributing traffic more evenly across both temporal and spatial domains, i.e., minimizing schedule banks and ensuring a balanced allocation of taxi routes.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102850"},"PeriodicalIF":3.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588385","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 influence of seat pitch, wi-fi, and other service features on airfares and passenger share in the U.S. domestic air travel market","authors":"Kiljae K. Lee ,&nbsp;Li Zou ,&nbsp;Scott Ambrose","doi":"10.1016/j.jairtraman.2025.102853","DOIUrl":"10.1016/j.jairtraman.2025.102853","url":null,"abstract":"<div><div>This study examines how six service features affect passenger share and airfare in the U.S. domestic market. Applying two-stage least squares and random forest models to 5248 O&amp;D records, we find seat pitch has the strongest impact. The relationship is nonlinear: share rises sharply at 29 inches, then levels off -- suggesting passengers may view 29 inches as a minimum comfort threshold. Wi-Fi impact plateaus: moving from no to paid Wi-Fi boosts share, but making it free adds little, suggesting connectivity is valued more than whether it is free. Live TV is negatively associated with share. USB access and aircraft age show modest positive association with both share and fares, while aircraft size has a strong positive association with share but a slight negative effect on fares. Building on recent empirical studies of service differentiation in aviation, these findings highlight that passenger preferences are evolving by valuing functional and digital connectivity.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102853"},"PeriodicalIF":3.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588384","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":"Study on the subsidy efficiency of small and medium-sized airports in China based on social economic impact","authors":"Yongkang Song ,&nbsp;Yanhua Li ,&nbsp;Hanchen Ke ,&nbsp;Keyan Zhao","doi":"10.1016/j.jairtraman.2025.102852","DOIUrl":"10.1016/j.jairtraman.2025.102852","url":null,"abstract":"<div><div>Existing studies on airport efficiency predominantly emphasize operational performance, often overlooking airports' social responsibilities as public infrastructure. This study adopts a socioeconomic impact analysis perspective to evaluate the subsidy efficiency of 56 small and medium-sized airports in China from 2015 to 2019, offering insights to improve the interaction between airport operations and socioeconomic development. The study consists of two main components. Firstly, Network Data Envelopment Analysis (NDEA) decomposes the subsidy process into two sub-processes: stimulating air transport volume and enhancing socioeconomic development, enabling a detailed efficiency assessment. Secondly, a panel data regression model is utilized to analyze the key factors influencing subsidy efficiency. The efficiency assessment highlights that the weak correlation between airport operations and regional economic development is the primary barrier to improving subsidy efficiency. Additionally, the results reveal significant geographic disparities, with airports in eastern regions exhibiting higher subsidy efficiency than those in the west. The panel regression analysis identifies several factors with substantial positive effects on subsidy efficiency, including the number of airlines and connected destinations, the city's population size, and highway passenger traffic. To the best of our knowledge, this study is among the first to evaluate airport subsidy efficiency, specifically focusing on social economic outcomes, particularly for small and medium-sized airports. By extending the scope of existing research on airport efficiency evaluation, this study contributes to a deeper understanding of the role of subsidies in supporting smaller airports and their relationship with social development.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"128 ","pages":"Article 102852"},"PeriodicalIF":3.9,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144579293","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":"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}