{"title":"Towards safer general aviation operations using a vision-based decision support system for weather threat avoidance","authors":"Rahul Rathnakumar, Yongming Liu","doi":"10.1016/j.jairtraman.2024.102709","DOIUrl":"10.1016/j.jairtraman.2024.102709","url":null,"abstract":"<div><div>The commercial aviation sector has achieved significant advancements in safety owing to robust Air Traffic Management technologies and rigorous regulatory measures. In contrast, General Aviation (GA) operations present unique safety challenges that demand focused attention. This study proposes an innovative decision support system tailored for GA pilots to augment their situational awareness. Our approach leverages on-board camera data in conjunction with semantic weather descriptors to construct an uncertainty-aware neural network model. The model provides predictions with quantified uncertainties while handling multiple labels and categories across diverse weather conditions. To validate the effectiveness of our framework, extensive experiments were conducted utilizing a flight simulator as a data collection platform. The results demonstrate that our model showcased significant improvements over the multiple baselines. We also found that a cost-sensitive learning approach can provide more conservative predictions while yielding performance improvements. Ultimately, our decision support framework aims to complement existing weather data sources, such as Next Generation Weather Radar (NEXRAD) data and Meteorological Aerodrome Reports (METAR) from airports, without imposing the burden of mounting expensive and bulky on-board weather radar systems.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"123 ","pages":"Article 102709"},"PeriodicalIF":3.9,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747604","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":"Survival analysis of new intra-European scheduled air services","authors":"Richard Klophaus, Matthias Viehmann","doi":"10.1016/j.jairtraman.2024.102712","DOIUrl":"10.1016/j.jairtraman.2024.102712","url":null,"abstract":"<div><div>While route planning as a core issue of airline network management has received a lot of attention in academia, the same cannot be said for service closures. This paper analyzes the survival of new intra-European scheduled air services. We estimate a total of four Cox proportional hazards (PH) models with time-dependent covariates to assess the impact of airline, airport, route and service characteristics on survival probabilities, which include a stratified model by business model to estimate separate baseline hazards. The empirical analysis ends in 2019 before the COVID crisis. A key finding is that mainline carriers show a significantly increased likelihood of service discontinuation than low-cost carriers challenging the common notion of low-cost carriers’ footloose strategies.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"123 ","pages":"Article 102712"},"PeriodicalIF":3.9,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747564","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}
Zhongyi Jin , Kam K.H. Ng , Haoqing Wang , Shuaian Wang , Chenliang Zhang
{"title":"Electric airport ferry vehicle scheduling problem for sustainable operation","authors":"Zhongyi Jin , Kam K.H. Ng , Haoqing Wang , Shuaian Wang , Chenliang Zhang","doi":"10.1016/j.jairtraman.2024.102711","DOIUrl":"10.1016/j.jairtraman.2024.102711","url":null,"abstract":"<div><div>This study discusses the challenges and solutions surrounding the scheduling of electric airport ferry vehicles (EAFVs) in the aviation industry. With the rise of electric vehicle technology and the push for sustainability, the adoption of EAFVs presents a significant opportunity for reducing emissions in airport ground transportation. However, scheduling EAFVs involves integrated considerations of operational scheduling and charging scheduling. To address these challenges, this study proposes a mixed-integer nonlinear programming (MINLP) model aimed at minimizing total costs associated with EAFV utilization while adhering to flight time window constraints and ensuring electric power availability. Furthermore, we transform the proposed MINLP model into a solvable mixed-integer linear programming model, facilitating its solution using off-the-shelf commercial solvers. To meet the requirements of the large international airport, we propose a stabilization approach for solving the large-scale instances. Finally, we further analyze the influence of crucial parameters, including the number of EAFVs deployed, the number of flights for servicing, and the charging power of charging facilities. Managerial policies are proposed for the airport managers based on the findings. This research addresses both theoretical and practical aspects, offering valuable policy recommendations for the effective EAFV management and providing a foundation for further exploration in EAFV scheduling. The findings contribute to the advancement of sustainable transportation practices in the aviation industry.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"123 ","pages":"Article 102711"},"PeriodicalIF":3.9,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747568","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":"Optimizing air traffic management through point merge procedures: Minimizing delays and environmental impact in arrival operations","authors":"Henrik Hardell , Evelyn Otero , Tatiana Polishchuk , Lucie Smetanová","doi":"10.1016/j.jairtraman.2024.102706","DOIUrl":"10.1016/j.jairtraman.2024.102706","url":null,"abstract":"<div><div>We present an application of a mixed-integer programming (MIP) framework for automatic traffic synchronization, providing safe separation between the arriving traffic within the terminal maneuvering area (TMA) of an airport implementing point merge (PM) procedures. Additionally, the proposed methodology ensures conflict-free operations when departures and arrivals share a common runway. Based on real traffic scenarios for two European airports, we model realistic descent profiles and assume all the arrivals are performing the most fuel-efficient continuous descent operations (CDOs). We compare two scenarios: in the first, the arriving aircraft are strictly forced to adhere to the published arrival route structures, meaning that a turn towards the merge point may not be initiated prior to reaching the point merge system (PMS), while in the second scenario, aircraft may be assigned a shortcut from a published waypoint along the arrival route. We evaluate the resulting arrival flight efficiency and compare it to that of the actual flights, arriving during the hour selected for our optimization, noticing varying benefits for the two airports and whether shortcuts are allowed or not. Given the correct setting for the specific airport, we demonstrate that our approach provides significant benefits, including increased vertical performance as well as reduced time and distance, contributing to lower levels of noise and fuel savings, accompanied by reduced emissions.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"123 ","pages":"Article 102706"},"PeriodicalIF":3.9,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747565","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}
{"title":"Determinants of car parking revenues: An econometric analysis of large European airports","authors":"Wilfred S. Manuela Jr. , Mark Friesen","doi":"10.1016/j.jairtraman.2024.102690","DOIUrl":"10.1016/j.jairtraman.2024.102690","url":null,"abstract":"<div><div>Parking facilities are a major source of commercial revenues for airports. Our paper identifies and analyzes key factors that impact parking revenues and the provision of parking facilities at the 10 largest European airports, based on data from 2011 to 2019. The econometric model consists of two equations due to the endogeneity of the number of parking spaces in the airport ‘parking revenue’ equation. We estimated the system of equations simultaneously using the generalized method of moments based on the Newey-West covariance estimator using the fixed effects model. The results indicate that the number of passengers, parking spaces, and parking fees impact airport parking revenues positively. The airport's catchment population impacts the number of airport parking spaces positively while the availability of alternative parking sites near the airport, the number of bus lines or routes serving the airport, a proxy for the ease of traveling to and from the airport, and an ownership structure that is majority private-owned tend to impact the number of parking spaces negatively.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"122 ","pages":"Article 102690"},"PeriodicalIF":3.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721261","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":"Examining airport agility at air cargo hub airports","authors":"Seock-Jin Hong , Woongyi Kim , Brian Hiatt","doi":"10.1016/j.jairtraman.2024.102710","DOIUrl":"10.1016/j.jairtraman.2024.102710","url":null,"abstract":"<div><div>The Covid-19 pandemic impacted nearly every aspect of airport operations, highlighting the importance of airport agility. Due to its importance, it is crutial for us to understand the role of agility at airports prior to and during unexpected disruptions. We investigated airport agility for air cargo hub airports using a structural equation model, particularly at Incheon International Airport (ICN). This study uses 27 variables to evaluate the agility of the air cargo business for a hub airport. We find that digital transformation, flight services, information sharing, and accessibility enhance the agility of air cargo hub airports. The survey shows that air cargo experts perceive ICN airport as having satisfactory agile response capabilities. Agility is essential to resilience, which will deliver a competitive advantage and aid the long-term prosperity of the air cargo business. Airports must collaborate to share, align, and improve their collective resilience to improve the productivity and performance of air cargo hubs. Developing innovative airport models enabled by new technologies, such as digital transformation, increases the efficiency and agility of the airport. The ICN's strategy as an air cargo hub airport is responsive to customer needs to mitigate disruptions through digitalization, offering value-added services with adaptability. The application of digitalization improves the airport's agility and efficiency and mitigates uncertainty in the air cargo industry.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"122 ","pages":"Article 102710"},"PeriodicalIF":3.9,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707332","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}
So-Young Park , Xinchen Wang , Yeeun Oh , Soo-Min Hong , Su-Han Woo
{"title":"Application of structural topic modeling in a literature review of air transport","authors":"So-Young Park , Xinchen Wang , Yeeun Oh , Soo-Min Hong , Su-Han Woo","doi":"10.1016/j.jairtraman.2024.102708","DOIUrl":"10.1016/j.jairtraman.2024.102708","url":null,"abstract":"<div><div>The aviation industry is highly susceptible to external environmental changes, including pandemics, conflicts, climate shifts, and economic fluctuations. Academic journals have adapted swiftly to address these challenges. Although significant academic efforts have provided valuable insights into air transportation, a comprehensive review with a large sample size was imperative. This study employed structural topic modeling (STM) to analyze 2,947 articles published in 55 journals between January 2000 and June 2023, offering an initial overview of the intellectual landscape of air transport research. The results identified and suggested 12 distinct topics in air transport research. It revealed the underlying research subthemes within each topic and discerned topic trends and latent relationships through prevalence and correlation analysis. This study contributes to the field in three key ways by: (1) introducing STM to air transport research, (2) pioneering a comprehensive review that covers all research topics in the aviation field, and (3) providing a valuable tool for understanding the current academic focus and identifying new research issues.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"122 ","pages":"Article 102708"},"PeriodicalIF":3.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707326","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":"Stochastic infection risk models for aircraft seat assignment considering passenger vaccination status and seat location","authors":"Ching-Hui Tang, Yi-Hsiang Hsu","doi":"10.1016/j.jairtraman.2024.102707","DOIUrl":"10.1016/j.jairtraman.2024.102707","url":null,"abstract":"<div><div>We study optimal aircraft seat assignment for infectious diseases in view of the stochastic risk of infection for a passenger assigned to a seat. The stochastic risk is based on the passengers' vaccination status and the different risk probability distributions corresponding to seat locations at window, middle, or aisle. In addition, the influence of groups of passengers who prefer to be seated together on the risk of infection in the cabin is also analyzed. A stochastic programming technique is applied to develop both non-grouped and grouped scenario-based models. The objective is to minimize the risk of infection for the worst-case scenario, as formulated by the Min-Max objective approach. Numerical tests utilizing statistical data from 2369 flights in Taiwan were performed. The results show that the consideration of passengers’ vaccination status during seat assignment is useful, reducing the average risk of infection in the cabin by half. Grouped seat assignment does not seem to have a significant influence on the risk of infection, with an increase of only 1.28 and 1.25 times compared with non-grouped seat assignment. The recommendations are that more heavily vaccinated passengers be assigned to aisle seats, while passengers who have received fewer doses be assigned to window seats. In addition, considering the limited impact of group seating on the risk of infection, it may not be necessary for an airline to decline to accommodate such requests.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"122 ","pages":"Article 102707"},"PeriodicalIF":3.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657991","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":"Addressing the impact of airport pricing, investment and operations on greenhouse gas emissions","authors":"Hans-Martin Niemeier , Peter Forsyth","doi":"10.1016/j.jairtraman.2024.102704","DOIUrl":"10.1016/j.jairtraman.2024.102704","url":null,"abstract":"<div><div>The discussion of mitigating climate change has turned towards airports, which are a key element in the overall air transport industry. The paper analyses how measures at the airport level can help to directly or indirectly reduce emissions from the air transport sector. This topic is of relevance because, by now, external costs of the sector are internalised only partially. We distinguish between non-aviation and aviation emissions as well as those from airport access and egress. In addition, airports are regarded as a node by policymakers to reduce emissions. While a reduction of non-aviation emissions is straightforward and also attempted by many airports, the reduction in aviation emissions is mainly controlled by the airlines themselves and airports only have an indirect effect. Applying microeconomics, we analyse how operational factors, pricing and slot regimes can affect output and emissions. In the short run, with busy airports, differentiated charges might only lead to reduced emissions in the US, as the slot systems ration demand well. In the long run new capacity must be assessed by Cost Benefit Analysis with pricing of local and global environmental externalities. While full internalisation of external costs is, in principle, possible it has yet to be achieved. This means that there is a significant task to assess the emissions at airport with a view to enabling stronger policies to reduce emissions.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"122 ","pages":"Article 102704"},"PeriodicalIF":3.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657990","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}
{"title":"A privacy-preserving federated learning approach for airline upgrade optimization","authors":"Sien Chen , Yinghua Huang","doi":"10.1016/j.jairtraman.2024.102693","DOIUrl":"10.1016/j.jairtraman.2024.102693","url":null,"abstract":"<div><h3>Purpose</h3><div>A key issue of making upgrade decisions is to match the most relevant upgrade offers to the right customers at the right time. To optimize upgrade strategies and profitability, companies seek to break “data silos” between themselves and other business partners for a more holistic view of customers' consumption experiences. However, multi-source data fusion may lead to potential privacy leakage. To overcome these two challenges in data silos and privacy protection, this study introduced a privacy-preserving federated learning (FL) approach and explained the process of using FL in modeling airline passengers’ willingness to pay for upgrade offers.</div></div><div><h3>Design/methodology/approach</h3><div>Federated learning is a new confidential computing technique that allows companies to train a model cooperatively by exchanging model parameters instead of the actual raw data, which might include customers' privacy sensitive information. Using a case study of a Chinese airline company, this study demonstrated how FL-based upgrade models using multi-source data can be developed to improve the accuracy of predicting customers' willingness to pay for upgrades while preserving customers’ personal data privacy.</div></div><div><h3>Findings</h3><div>Comparing with traditional unilateral model using single-source data, the federated logistic regression and SecureBoost models demonstrate better model performance. This indicates that the proposed FL approach can enhance the accuracy of modeling airline passengers' willingness to pay for upgrade offers while preserving passengers’ data privacy. The findings also show that the FL-based models generally took longer running time than the traditional unilateral model due to the design of FL approach in ensuring data privacy.</div></div><div><h3>Originality</h3><div>This study contributes to the literature of upgrade optimization by introducing the new FL approach for developing machining learning models to predict customers’ reaction to upgrade offers. Although we focus on the airline industry in our case study, the proposed FL approach can be applied to other industries with a similar issue of upgrade optimization such as hotels or cruise lines, and car rental.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"122 ","pages":"Article 102693"},"PeriodicalIF":3.9,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530726","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}