{"title":"Attitudes of airline passengers under uncertainty - A case study of the COVID-19 pandemic in Poland","authors":"Sonia Huderek-Glapska, Doris Antczak","doi":"10.1016/j.jairtraman.2024.102734","DOIUrl":"10.1016/j.jairtraman.2024.102734","url":null,"abstract":"","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102734"},"PeriodicalIF":3.9,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168343","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":"Package delivery by electric vertical takeoff and landing aircraft? An attractiveness assessment","authors":"Daniel Perez, Bo Zou, Nahid Parvez Farazi","doi":"10.1016/j.jairtraman.2024.102731","DOIUrl":"10.1016/j.jairtraman.2024.102731","url":null,"abstract":"<div><div>Electric vertical takeoff and landing aircraft (eVTOLs) are gaining growing interest recently. However, limited attention has been paid to the prospect of using eVTOLs for package delivery. To fill this void, this paper explores the attractiveness of eVTOL-based package delivery in terms of cost, energy consumption, and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions. Given that eVTOLs cannot take off/land at customer doorsteps, a two-leg system design is proposed and formulated as an optimization model. To implement the model, we consider multiple plausible eVTOL and ground vehicle types, their cost economics, and energy use and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emission characteristics. Applying the model in the Chicago metro region, we find that the attractiveness of eVTOL-based package delivery depends critically on the eVTOL and ground vehicle types. With an appropriate eVTOL-ground vehicle combination, eVTOL-based delivery can be attractive compared to van-only delivery in terms of total shipping cost, but not necessarily so from the energy and emission perspectives. This highlights the need for future R&D to further enhance the energy efficiency of eVTOLs. When designing eVTOL-based package delivery systems, the importance to account for the potential interactions between eVTOL traffic and commercial air traffic should also be recognized.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102731"},"PeriodicalIF":3.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168342","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":"Charge-discharge coupling strategy for dispatching problems with electric tractors at airports","authors":"Danwen Bao , Ziqian Zhang , Di Kang","doi":"10.1016/j.jairtraman.2024.102733","DOIUrl":"10.1016/j.jairtraman.2024.102733","url":null,"abstract":"<div><div>Airports worldwide are actively promoting the transition of ground service vehicles from traditional fuel-powered vehicles to electric vehicles. The key to the successful implementation of this transition lies in the development of efficient electric vehicle dispatching models that comprehensively consider the charge-discharge processes of electric vehicles. However, due to the nonlinear characteristics of charge-discharge processes, finding precise solutions poses a significant challenge. Previous researchers have often used traditional energy consumption models and constant charging rates to simplify calculations, but this has resulted in inaccurate estimates of the remaining battery charge level. Furthermore, the lack of diverse pacing and charging strategies for airport ground service vehicles necessitates more adaptable solutions to enhance operational efficiency. To address these challenges, this paper uses airport electric tractors as a case study, develops an accurate model that takes into account the start-stop process and a piecewise linear charging function, designs an improved genetic algorithm that incorporates a greedy algorithm and an adaptive strategy, and develops charge-discharge coupling strategies for different configuration scenarios at Nanjing Lukou Airport to meet current and future needs. The research results indicate that compared to traditional genetic algorithms, the proposed improved genetic algorithm significantly enhances solution accuracy and convergence speed. Additionally, with the increase in flight scale, airports can appropriately enhance their charging strategies; airports with dispersed aircraft stands should devise higher pacing strategies compared to those with dense aircraft stands.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102733"},"PeriodicalIF":3.9,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168341","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":"Enhanced self-separation decision making for autonomous flight operations in air corridors","authors":"Zhaoxuan Liu , Maolin Wang , Zhiyong Liu","doi":"10.1016/j.jairtraman.2024.102721","DOIUrl":"10.1016/j.jairtraman.2024.102721","url":null,"abstract":"<div><div>This paper discusses the emergency self-separation decision-making for autonomous aircraft operating in a high-density air corridor. Air corridors are longish airspace volumes, where multiple self-separated aircraft fly sequentially without instructions from the Air Traffic Controllers (ATCOs). However, due to high traffic volume and limited inter-distance between aircraft, the trailing aircraft becomes more conflict sensitive to environment changes (for instance, a sudden deceleration in the preceding aircraft). Therefore, to realize high traffic throughput while maintaining operation safety, an enhanced multi-attribute decision making (MADM) framework is presented in this paper to address the need for appropriate maneuver determination in a close proximity situation. Specifically, we decompose the MADM scheme into two main steps. In the first step, four candidate maneuver options are generated under different self-separation methodologies. Each candidate option is then evaluated via multiple attributes, which represent various performance objectives of the aircraft. In the second step, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to determine the optimal maneuver that realizes an adequate tradeoff among the competing objectives. By simulating aircraft maneuvers in diverse emergency scenarios and with various corridor traffic settings, experimental results have successfully demonstrated the effectiveness of the proposed MADM-based self-separation mechanism.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102721"},"PeriodicalIF":3.9,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168340","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":"An optimization framework for urban air mobility (UAM) planning and operations","authors":"Heeseung Shon , Jinwoo Lee","doi":"10.1016/j.jairtraman.2024.102720","DOIUrl":"10.1016/j.jairtraman.2024.102720","url":null,"abstract":"<div><div>This paper presents an optimized decision-support framework for the planning and operation of Urban Air Mobility (UAM) systems. Alleviating traffic congestion in metropolitan areas has been a persistent challenge for decades, leading to increased interest in aerial mobility solutions. Recent advancements in distributed electric propulsion, battery technology, and autonomous navigation have made electric vertical take-off and landing (eVTOL) aircraft a feasible option for intercity transport. For efficient UAM systems, we optimize the high-level planning of UAMs, i.e., determine the numbers of eVTOLs, vertiport spaces, and chargers, together with lower-level operations to control each eVTOL's operational state between in-service, charging, idling, and relocating. Accounting for spatio-temporal demand and cost heterogeneity, we formulate the UAM optimization framework as a mixed-integer programming problem. In our numerical study, we analyze a scenario involving three hypothetical vertiports in the Seoul Metropolitan Area, South Korea. The results reveal relationships between the optimal solution and several exogenous factors critical to eVTOL operations, including the targeted level of service for users and eVTOL charging speed. Additionally, we conduct Monte Carlo simulations to demonstrate the robustness of our solution against stochastic demand and variations in electric consumption.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102720"},"PeriodicalIF":3.9,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168339","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}
John Beasley , Martin Kunc , Toni Martinez-Sykora , Chris N. Potts
{"title":"A parametric method to enhance decision-making in airport terminal development","authors":"John Beasley , Martin Kunc , Toni Martinez-Sykora , Chris N. Potts","doi":"10.1016/j.jairtraman.2024.102722","DOIUrl":"10.1016/j.jairtraman.2024.102722","url":null,"abstract":"<div><div>Business cases and investment decisions for airports and passenger terminals are generally based on annual flight and passenger number forecasts. However, the design of a new passenger terminal is based on much shorter-term demands, typically a “peak hour”. Conventionally there are two methods for bridging the gap between annual demands and these short-term demands: a design day schedule, or a ratio-based method. There are important practical and theoretical limitations with these methods. In this paper, a complementary method is proposed that provides an improved theoretical basis for determining short-term demands and which can form part of a more informed decision-making process. Its application to a recent terminal design case is discussed.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102722"},"PeriodicalIF":3.9,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168338","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":"Perceived overqualification, prosocial service behavior, job crafting and person-group fit of the flight attendants: Testing a moderated-mediation model","authors":"Mustafa Changar , Harun Sesen , Senay Sahil Ertan , Gözde İnal Cavlan , Semih Soran","doi":"10.1016/j.jairtraman.2024.102723","DOIUrl":"10.1016/j.jairtraman.2024.102723","url":null,"abstract":"<div><div>This research aimed to comprehend how prosocial service behaviors of flight attendants can be improved in the airline industry, which is a crucial element of competitive advantage in human-centered sectors. We established a model comprising perceived overqualification, prosocial service behavior, job crafting, and person-group fit to achieve this purpose, under the framework of person-job fit theory. 315 flight attendants from two airline companies took part in this research, located in Istanbul, Turkey. IBM AMOS 21.0 software was applied for testing by establishing a structural equation model. The findings indicate that perceived overqualification of employees had a significant direct effect on their prosocial service behavior, as well as an indirect effect through job crafting. Moreover, person-group fit was established as the boundary condition that increases the influence of perceived overqualification on job crafting, displaying a moderated mediation effect. Our model is a novel attempt at the literature, being the first study to investigate the conditional influence of person-group fit in the airline industry under the context of person-job fit theory. This research explains how perceived overqualification can be a source of competitive advantage for companies aiming to excel through customer service by highlighting the importance of person-group fit in this association, which are valuable contributions to theory and practice.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102723"},"PeriodicalIF":3.9,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168337","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}
Hyeokjun Jang , Yeongmin Kwon , Kitae Jang , Suji Kim
{"title":"Urban air mobility for airport access: Mode choice preference associated with socioeconomic status and airport usage behavior","authors":"Hyeokjun Jang , Yeongmin Kwon , Kitae Jang , Suji Kim","doi":"10.1016/j.jairtraman.2024.102719","DOIUrl":"10.1016/j.jairtraman.2024.102719","url":null,"abstract":"<div><div>This study examined mode choice preference for airport access given the introduction of Urban Air Mobility (UAM) airport shuttle service and its associations with socioeconomic status and airport usage behavior. We designed the stated preference survey targeting Incheon International Airport in South Korea and collected data from 2604 respondents. We provided six scenarios composed of a combination of experimental attributes (travel time, travel cost, and transfer frequency) for five alternative transport modes (airport train, airport bus, taxi, passenger car, and UAM) to each respondent and asked them to choose one most preferred mode in each scenario. A mixed multinomial logit model was used to consider the underlying characteristics of the collected data. The modeling result confirms that the preference for taking UAM varies by people's socioeconomic status and airport usage behavior. People who have higher incomes, frequently use taxis, and want to arrive at airports quickly before boarding are more likely to take UAM for airport access. The findings imply that UAM may be able to become a kind of taxi service operating in the sky, but its expensive fares may discourage its popularization. The findings extend previous studies of airport-oriented UAM service as one of the first studies to consider airport usage behavior. This study provides policymakers with insight into feasible strategies to make UAM service a practical transportation mode for the public.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102719"},"PeriodicalIF":3.9,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168336","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}
Fatih Ecer , Gökhan Tanrıverdi , Mehmet Yaşar , Ömer Faruk Görçün
{"title":"Sustainable aviation fuel supplier evaluation for airlines through LOPCOW and MARCOS approaches with interval-valued fuzzy neutrosophic information","authors":"Fatih Ecer , Gökhan Tanrıverdi , Mehmet Yaşar , Ömer Faruk Görçün","doi":"10.1016/j.jairtraman.2024.102705","DOIUrl":"10.1016/j.jairtraman.2024.102705","url":null,"abstract":"<div><div>In line with the 2050 net zero emission target, sustainable aviation fuel (SAF) is recognized as one of the most effective decarbonization solutions for the aviation industry, which has been identified among the critical areas for mitigating climate change. However, although sustainability issues and decarbonization have attracted scholars' attention in various terms for the airline industry, we identified some significant theoretical and managerial gaps as follows: (i) the number of studies evaluating sustainable suppliers by airlines via multi-criteria decision-making (MCDM) approaches are very few, (ii) the extant literature has no paper addressing airlines' SAF supplier selection process, and (iii) no widely established criteria set in the literature to evaluate the SAF suppliers for airlines. We propose a novel model for the decision-making process of airlines' sustainable SAF supplier selection, including 39 criteria from 5 aspects considering the triple bottom of sustainability. The proposed model involves the combination of the logarithmic percentage change-driven objective weighting (LOPCOW) and measurement alternatives and ranking according to the compromise solution (MARCOS) approaches' extended forms based on the interval-valued fuzzy neutrosophic numbers (IVFNN). A comprehensive sensitivity and comparison control is further exploited to display the developed framework's robustness and practicality. Our results suggest that airlines prioritize the green initiatives of SAF suppliers over the economic aspect in the process of sustainable SAF supplier selection. We provide some managerial and policy insights for practitioners and policy-makers in the airline industry and some directions for further research.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"123 ","pages":"Article 102705"},"PeriodicalIF":3.9,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163412","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":"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}