Journal of Air Transport Management最新文献

{"title":"Multi-layer dynamic network model of traffic flow in terminal area and complexity analysis","authors":"Peng Yating,&nbsp;Shen Di,&nbsp;Wen Xiangxi,&nbsp;Yu Fuping,&nbsp;Ji Yuren","doi":"10.1016/j.jairtraman.2025.102881","DOIUrl":"10.1016/j.jairtraman.2025.102881","url":null,"abstract":"<div><div>Advanced modeling frameworks are required to examine multi-dimensional interactions among airspace structure, traffic flow, and safety threats due to the expanding complexity of terminal area (TMA) air traffic systems, which are fueled by increasing airspace congestion and operational inefficiencies. This paper proposes a novel three-layer dynamic network model to characterize TMA air traffic operations, integrating an air traffic situation evolution network (ATSEN) for spatiotemporal traffic distribution, an air traffic conflict network (ATCN) for safety-related conflict dynamics, and an integrated flow-driven dynamic network (IFDN) to map flow transmission patterns. To measure operational complexity and important risk indicators, an analytical framework that combines intricate network topology measurements and traffic flow dynamics is created. The model’s capacity to recognize crucial flight segments and assess operating conditions in real time is demonstrated by empirical validation using actual radar data from the Beijing TMA. Key findings show that network robustness and conflict intensities fluctuate under dynamic situations, with peak complexity occurring during periods of high traffic. In addition to providing useful insights for TMA design and operational decision-making, the framework gives air traffic controllers a multifaceted instrument to improve flow management, reduce congestion, and increase safety.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"131 ","pages":"Article 102881"},"PeriodicalIF":3.6,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997674","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":"Electric and fuel aircraft schedule optimizing problem with battery charging and swapping — The case of flight in china","authors":"Yuxiang Tang,&nbsp;Li Wang,&nbsp;Wenxuan Kang,&nbsp;Wenchao Liu,&nbsp;Yufeng Zhuang","doi":"10.1016/j.jairtraman.2025.102890","DOIUrl":"10.1016/j.jairtraman.2025.102890","url":null,"abstract":"<div><div>Under the trend of electrification, civil aviation is promoting electric aircraft to reduce emissions. In recent years, technological advancements have opened up the possibility of employing electric aircraft in flight routes. This paper will explore the scheduling problem of electric and fuel aircraft. The mixed operation mode of electric and fuel aircraft is necessary in the current state of green development since electric aircraft currently face significant challenges for operators of long haul routes. Meanwhile, the battery swapping technology can significantly reduce aircraft charging time at airports. Therefore, this paper investigates the optimization problem of the electric and fuel aircraft schedule with battery charging and swapping (ef-ASOP). We introduce a mixed integer programming formulation for the ef-ASOP to minimize total emission, charging, swapping and delay costs. The constraints of the model consider flow, charging and time constraints. We propose M-parameters bounds and two valid inequalities for model enhancement. The Air China case study demonstrates practical insights. The results show that an increase in the number of electric aircraft and battery capacity leads to a reduction in emission costs and an increase in delay costs. Electric aircraft and fuel aircraft are complementary. Some long haul routes cannot be operated by electric aircraft, but can be met by fuel aircraft. At the same time, fuel aircraft also help reduce delay costs. Meanwhile, more widespread deployment of battery swapping stations can reduce delays and improve passenger satisfaction.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"130 ","pages":"Article 102890"},"PeriodicalIF":3.6,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933012","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":"Technological progress and biases in airline productivity: A network MPI analysis under external disruptions","authors":"Ming-Miin Yu ,&nbsp;Li-Hsueh Chen","doi":"10.1016/j.jairtraman.2025.102892","DOIUrl":"10.1016/j.jairtraman.2025.102892","url":null,"abstract":"<div><div>This study aims to investigate the significant role of technological progress and its biases among different factors and outputs within a two-stage network production technology structure in influencing productivity changes in airlines. To address variations in productivity under external disruptions and market fluctuations, this study develops a novel network Malmquist Productivity Index (MPI) decomposition model, identifying both inter-group biases between inputs and outputs and intra-group biases among input factors and outputs. Analyzing data from 2015 to 2021 for 16 global airlines, the study measures productivity changes and their components within the network production framework. The technological change is decomposed to analyze the bias characteristics of input factors such as labor and operational expenses, intermediate products like available seat kilometers and available freight ton kilometers, and output factors including revenue passenger kilometers and revenue freight ton kilometers. The findings indicate that efficiency improvements and technological progress are primary drivers of productivity growth, while output-biased technological change limits this growth. Efficiency improvements, increased magnitude of technological change, and input-biased technological change in the service stage contribute to overall productivity gains, mitigating the negative impact of efficiency deterioration and reduced technological change in the production stage. Notably, productivity regressed during 2020–2021, reflecting operational disruptions caused by external shocks such as the COVID-19 pandemic. These results suggest that targeted technological advancements and efficiency improvements in specific production and service stages can significantly influence overall productivity. The study provides strategic insights for airlines to navigate disruptions, emphasizing the importance of understanding and managing technological biases to enhance productivity.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"130 ","pages":"Article 102892"},"PeriodicalIF":3.6,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933099","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":"Analyzing network selection competition between airlines using Graph Model for Conflict Resolution in the foresight of two steps","authors":"Shawei He ,&nbsp;Peng Sun ,&nbsp;Jiangying Qin ,&nbsp;Changmin Jiang","doi":"10.1016/j.jairtraman.2025.102893","DOIUrl":"10.1016/j.jairtraman.2025.102893","url":null,"abstract":"<div><div>The selection of network structures is instrumental for airlines to gain upper hand in market competition. In the existing research, game theoretical methodologies are utilized to provide equilibria for suggesting strategies in competition. Nowadays, utilities for airlines are increasingly affected by factors which are difficult to calibrate, such as geopolitical events. Besides, airlines as wise decision makers not only consider the strategic moves in the foresight of one step, but also what could be the counteractions from opponent airlines. In this paper, the selection of network structures between two competing airlines are investigated using graph model for conflict resolution (GMCR), an effective methodology for solving strategic conflicts. The equilibria of competition are calculated without the requirement of explicit expression of utilities, and reflecting the perception of each airlines in two steps. Theorems are provided to indicate the existence of the equilibria in the competition, including Nash equilibria and sequentially stable (SEQ) equilibria for the foresight of two steps. Comparing with the equilibria calculated in the existing literature based on the same modelling settings, the Nash equilibria suggested by GMCR are consistent with those calculated by classical game theory approach. Besides, GMCR can indicate SEQ equilibria as an enhanced understanding of competition reflecting longer foresights of DMs. In particular, the SEQ equilibria in Scenarios 1 and 2 of this paper indicate alternative strategies by adopting which both airlines could be more profitable compared with the strategies suggested by Nash equilibria. As demonstrated in this paper, GMCR not only requires less information in modelling, but is also capable of providing more insightful strategies for DMs in aviation industry. Moreover, the framework of addressing the network selection problem using GMCR could provide a useful paradigm for analyzing wider range of strategic competition problems in aviation industry in the future.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"130 ","pages":"Article 102893"},"PeriodicalIF":3.6,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933098","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":"Applying Large Language Models to investigate how people with disabilities interact at airports","authors":"Steven Tanner McCullough ,&nbsp;Ariana Grant ,&nbsp;Evan Mistur ,&nbsp;June Young Park","doi":"10.1016/j.jairtraman.2025.102880","DOIUrl":"10.1016/j.jairtraman.2025.102880","url":null,"abstract":"<div><div>Rapid transition in social and environmental conditions consistently demand changes in how airport facilities are operated and managed, creating an ongoing stream of new and unique barriers to accessibility. In this paper, a novel framework in conjunction with Large Language Model (LLM) and accessibility design standards is used to discover the perceived accessibility of people with disability (PWD) in airports, mined from location-based social media reviews. The analysis uncovered key insights into how different airports perform in terms of accessibility among 64 hub airports in the United States. While some airports excel in most areas that are legislated by the Americans with Disabilities Act (ADA), others face challenges in providing consistent and inclusive experiences. Primarily, the initial arrival experiences at airports are seen as the most significant factor influencing PWD overall perceptions of accessibility throughout the entire airport, highlighting the importance of consistent and effective first contact in shaping the journey of PWD.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"130 ","pages":"Article 102880"},"PeriodicalIF":3.6,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917847","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":"Integrated hub airport location and fleets planning for airline-alliance-oriented freight transport system","authors":"Yu Zheng ,&nbsp;Yi Huang ,&nbsp;Hua Wang","doi":"10.1016/j.jairtraman.2025.102889","DOIUrl":"10.1016/j.jairtraman.2025.102889","url":null,"abstract":"<div><div>The rapid growth of e-commerce has led to a surge in air cargo demand. Rather than operating independently, airlines are increasingly collaborating to capture a larger market share. This study investigates the integrated hub airport location and fleet planning problem under the context of airline alliances to enhance sustainable urban freight transportation. Three optimization models are proposed in different airline cooperation modes: i) model INDHL-INDFP, where airlines independently determine hub airport locations and fleet planning, ii) model INTHL-INDFP, where airlines collaboratively decide hub airport locations while planning fleets individually based on their cargo demand, and iii) model INTHLFP, where airlines make integrated decisions on both hub locations and fleet planning. These models are applied to networks of varying scales, and their performance is compared. Results indicate that integrated decision-making within airline alliances effectively reduces total system costs, with cost-saving benefits becoming more pronounced as network size increases. Additionally, this approach aligns freighter capacity with cargo demand, enhancing system resilience to demand fluctuations. Sensitivity analysis further reveals that the optimal number of hub airports depends on network scale and varies under different airline cooperation strategies. Moreover, network size significantly influences the determination of the maximum number of flights connected to other hubs for a hub. This study provides valuable insights into optimizing airline cooperation strategies to improve efficiency and sustainability in air cargo transportation.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"130 ","pages":"Article 102889"},"PeriodicalIF":3.6,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904647","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 oil prices shocks in the valuation of stock prices of aviation companies","authors":"Mirko Gabbiadini,&nbsp;Michele Meoli,&nbsp;Stefano Paleari","doi":"10.1016/j.jairtraman.2025.102882","DOIUrl":"10.1016/j.jairtraman.2025.102882","url":null,"abstract":"<div><div>This study investigates the impact of oil price changes on the market value of the aviation industry. We analyze a sample of 121 airlines and 30 airports listed worldwide between 2000Q1 and 2023Q4 and find that overall, oil price changes deteriorate the market value of the aviation industry.</div><div>However, the marginal effect of oil price changes is more negative for airlines than for airports. When we disentangle oil price changes into demand shocks and supply shocks, we find that airlines benefit more from demand shocks, whereas airports are more resilient to supply shocks. Our results suggest that oil price changes contribute to a shift in value within the aviation industry, from airlines to airports, and that demand shock and supply shock exert a different impact between airlines and airports.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"130 ","pages":"Article 102882"},"PeriodicalIF":3.6,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144879901","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":"Cross-border capacity sharing in air traffic control: which area control centres in Europe are the best candidates?","authors":"Goran Pavlović ,&nbsp;Milan Stanojević ,&nbsp;Radosav Jovanović","doi":"10.1016/j.jairtraman.2025.102878","DOIUrl":"10.1016/j.jairtraman.2025.102878","url":null,"abstract":"<div><div>Air traffic in Europe is recovering strongly after a period of unprecedented traffic downturn caused by COVID-19 pandemic. Significant capacity bottlenecks again occur in various parts of the Air Traffic Management (ATM) network, leading to excessive delays and attracting pronounced public interest. Over the past decade, the concept of cross-border ATS (Air Traffic Services) provision has come under the spotlight as a potential solution to enhance capacity utilization. Two key strategic questions arise: what are the expected benefits and which Area Control Centres (ACCs) in Europe are the best candidates for such cooperation? To address those, we developed a two-phase approach supported by mathematical models. Results suggest that the potential savings at network level from the “super-ATCO (Air Traffic Control Officer)” concept amount to 300–350 ATCOs (or 7 %) compared to individual rostering on a single day of operations. However, up to 74 % of such theoretical savings can already be achieved by means of optimal pairing of ACCs. Our findings may assist policy-makers in establishing adequate incentive mechanisms for early adopters. Moreover, the developed methodology can serve as a valuable strategic asset for decision-makers and Network Manager to accelerate the implementation of ATS delegation, following recent adoption of the SES2+ regulation.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"129 ","pages":"Article 102878"},"PeriodicalIF":3.6,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827988","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":"Investigating cargo capacity determinants in desertic airports using Bayesian Network (BN) analysis","authors":"Sharaf AlKheder,&nbsp;Shrouq Almutairi","doi":"10.1016/j.jairtraman.2025.102879","DOIUrl":"10.1016/j.jairtraman.2025.102879","url":null,"abstract":"<div><div>Since the inauguration of Kuwait International Airport in 1960, Kuwait's transition from an oil-based economy to a key aviation industry player in the region has been marked. This study investigates the cargo capacity determinants at Kuwait International Airport (KIA) from 2011 to 2021, employing Bayesian Network (BN) analysis. It dissects aviation data into two five-year periods to discern time-sensitive influences on the aviation network, focusing on scheduled and non-scheduled cargo flights. The study tests economic factors like GDP, population, jet fuel prices, inflation rates, and exchange rates. Results indicate that GDP and exchange rate are pivotal for cargo capacity throughout the decade. In the first five years, the exchange rate solely influenced cargo capacity, while in the latter half, both the exchange rate and inflation were significant factors. Additionally, cargo capacity was indirectly impacted by fuel prices through inflation. A sensitivity analysis reveals the varying impacts on cargo capacity: inflation had the highest sensitivity, causing a 36 % increase in cargo capacity for a 7.5–15.5 % inflation rate increase during 2016–2021. Exchange rates and fuel prices followed with 32 % and 14 % sensitivity, respectively. The study also notes that changes in GDP and exchange rates had relatively minor effects on cargo capacity in the first half of the decade. This abstract summarizes the research's aim, methods, and crucial findings, emphasizing their relevance in understanding cargo capacity dynamics at KIA amidst Kuwait's economic evolution.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"129 ","pages":"Article 102879"},"PeriodicalIF":3.6,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826662","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 reciprocal impact between air passenger transport and international tourism in Singapore","authors":"Quang Hai Nguyen","doi":"10.1016/j.jairtraman.2025.102877","DOIUrl":"10.1016/j.jairtraman.2025.102877","url":null,"abstract":"<div><div>This study examines the interplay between air passenger transport and international tourism through the role of GDP (Gross Domestic Product) and trade openness in 11 key markets of Singapore. Co-integration tests indicate that although air passenger transport and international tourism may not be individually stable in some markets, their fluctuations are strongly and durably related. The estimation results using a combined SARIMA (Seasonal Autoregressive Integrated Moving Average), X (exogenous factors), and GARCH (Generalized Autoregressive Conditional Heteroskedasticity) model show that there is a strong interrelationship between air passenger transport and the number of international tourists to Singapore, but air passenger transport is less sensitive to fluctuations in the number of international tourists. GDP and trade openness also have significant impacts on the demand for both sectors, but at different levels across markets. The cyclical, seasonal, and external shock effects found in air passenger transport and international tourism indicate the diversity in behavior and characteristics of each market. The research results provide a basis for managers and policymakers to forecast and formulate development policies for tourism and air transport.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"129 ","pages":"Article 102877"},"PeriodicalIF":3.6,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771885","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}