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Accommodating spatio-temporal dependency in airline demand modeling Journal of Air Transport Management (IF 5.428) Pub Date : 2024-03-12 Sudipta Dey Tirtha, Tanmoy Bhowmik, Naveen Eluru
The objective of the current study is to examine monthly air passenger departures at the airport level considering spatial interactions between airports. In this study, we develop a novel spatial grouped generalized ordered probit (SGGOP) model system of monthly air passenger departures at the airport level. Specifically, we estimate two variants of spatial models including spatial lag model and spatial
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Relationship between the terminal built environment and airport retail revenue Journal of Air Transport Management (IF 5.428) Pub Date : 2024-03-10 Yonglei Jiang, Ailing Huang, Shengguo Gao, Shunan Yu
Non-aeronautical business, including airport retail, is an essential source of airport revenue. The locations of retail stores in an airport terminal building significantly impact their revenue. Based on the retail store-level data from Dalian Zhoushuizi International Airport (DLC), the traditional panel data regression and machine learning methods were employed to explore the relationships between
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A heuristic-based multi-objective flight schedule generation framework for airline connectivity optimisation in bank structure: An empirical study on Air China in Chengdu Journal of Air Transport Management (IF 5.428) Pub Date : 2024-03-06 Huijuan Yang, Clara Buire, Daniel Delahaye, Meilong Le
As the first step of airline schedule planning, flight scheduling plays a pivotal role in shaping an airline’s competitiveness, defining its profitability and establishing service levels by determining the timetable for potential city pairs. Although full-service carriers consider the bank structure as an effective method to improve flight connectivity and optimise aircraft utilisation, existing literature
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Joint gate-runway scheduling considering carbon emissions, airport noise and ground-air coordination Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-22 Rong Hu, Deyun Wang, Huilin Feng, Junfeng Zhang, Xiaoran Pan, Songwu Deng
With the rapid increase in air traffic, the scheduling optimization of one single resource is difficult to meet the needs of airport surface operation. Thus, we propose a new joint scheduling model of airport gate and runway with three different objectives, i.e., service quality (minimizing the number of flights assigned to aprons), operation efficiency (maximizing the ground-air coordination) and
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A combined multi criteria model for aircraft selection problem in airlines Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-20 Buğra Bağcı, Murat Kartal
The management of airline companies entails a multitude of critical decisions, with the selection of aircraft standing out as one of the most pivotal. This decision is notably crucial due to the substantial associated costs, amplifying its importance. To navigate such critical decisions with precision, businesses have increasingly turned to decision support systems, artificial intelligence applications
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Validating aircraft noise models: Aviation environmental design tool at Heathrow Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-14 Ran Giladi, Eliav Menachi
Aircraft noise models are fundamental tools for noise abatement, control, enforcement, evaluation, and policy-making. Validation of aircraft noise models is necessary to ensure their reliability and credibility, particularly given their significant impact on society, the economy, and public health. However, validating such models is often a complex undertaking, and an acceptable validation methodology
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Network centrality driven airport efficiency: A weight-restricted network DEA Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-14 Samet Güner, Jorge Junio Moreira Antunes, Keziban Seçkin Codal, Peter Wanke
Network centrality is an intermediary between airport resource utilization and air traffic generation. A central position in the network with frequent and regular flights with hub nodes can boost air traffic by providing better accessibility, resulting in more efficient use of airport resources. However, this relationship has been largely ignored in the literature. Using data from the Turkish airport
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Airline delay propagation: Estimation and modeling in daily operations Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-08 Furkan Erdem, Taner Bilgiç
Airline companies try to increase their revenues, service level, and customer satisfaction in a highly competitive global sector. Airline schedule planning is crucial for airline companies to reach these objectives. Airline schedules are usually constructed assuming that there will be no disruption. But in reality, there are plenty of incidences such as weather conditions, mechanical failure, air traffic
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Global network structure and emissions implications of long-thin airline routes Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-08 Porter Burns, John Bowen
The purpose of this research was to define, map, and quantify the network and environmental implications of “long-thin” routes (LTRs) – a type of route that has been discussed in the aviation industry but not formally studied. LTRs were defined through the use of global OAG scheduling data from 1998 to 2018. Flights were separated into seven aircraft class sizes (e.g., 75-150 seats, 150-225 seats)
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Comparison of artificial neural networks and regression analysis for airway passenger estimation Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-08 Didem Ari, Pinar Mizrak Ozfirat
With the increasing demand in operations, time is getting more important. In order to use time and energy more effectively, it is becoming more important for airline companies and airport managements to make strategic plans for the future. To make beneficial and correct strategic plans for airways, one of the factors that is needed to be considered is future passenger numbers. With more accurate passenger
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Buffer scheduling for improving on-time performance and connectivity with a multi-objective simulation–optimization model: A proof of concept for the airline industry Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-07 Isabelle M. van Schilt, Jonna van Kalker, Iulia Lefter, Jan H. Kwakkel, Alexander Verbraeck
Schedule design in the transportation and logistics sector is a widely studied problem. Transport service providers, such as the train industry and aviation, aim for schedules to be on-time according to the planning (i.e., on-time performance or OTP) in order to increase the service level by ensuring that passengers actually make their connections and to reduce costs. Transportation services also aim
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Airlines and climate policy uncertainty: Are the sector's stocks soaring or stalling? Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-06 Mutaju Isaack Marobhe, Jonathan Mukiza Kansheba
The present study examines the impact of uncertainties around climate policy on the stock returns of eight US airlines between 2007 and 2023. To examine how climate policies impact daily airline stock volatility through the long-run component of total volatility, the monthly climate policy uncertainty index is utilized. Using full-sample and out-of-sample estimations, we investigate the problem using
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Airport productivity and network centrality in the pandemic outbreak: Lessons from the Turkish airports Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-04 Samet Güner, Keziban Seçkin Codal
The adverse effects of the Covid-19 outbreak on airport performance have been noted in many studies, but the determinants of airport productivity in this period still need to be adequately discussed. Identifying performance drivers during the pandemic may offer insights into the efficient management of airports. In this study, the factors affecting airport productivity during the pandemic were revealed
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Machine learning and multi-objective optimization methodology for planning construction phases of airport expansion projects Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-02 Mamdouh Al-Ghzawi, Khaled El-Rayes
This study presents the development of an innovative methodology to optimize phasing plans of airport expansion projects to minimize construction-related disruptions in airport operations and project construction cost. This methodology integrates a machine learning model to predict the impact of generated phasing plans on flights ground movement time during construction, and a multi-objective genetic
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Can you judge a book by its cover? An analysis of travelers’ perceptions of airline logos and airlines’ business models Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-02 Jiayu Liu, Christina Starr Beck, Yi Gao
Airline logos are pivotal components reflecting brand identity. This study investigates whether airlines of the same business model tend to employ similar color schemes in their branding and how travelers associate airline logos with their respective business models. Using a comprehensive survey instrument with diverse logo formats, participants recruited from Amazon Mechanical Turk (MTurk) provided
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Exploring the antecedents of airline employee job satisfaction and dissatisfaction through employee-generated data Journal of Air Transport Management (IF 5.428) Pub Date : 2024-02-01 Tian-Yu Han, Jian-Wu Bi, Yanbo Yao
Understanding airline employee job satisfaction is critical for airlines to formulate effective strategies to improve it. However, little research has been done on this. To gain a deeper understanding, 53,718 items of employee-generated data from 225 airlines collected from Glassdoor are analyzed. The results show that: (1) Work–life balance, crew privileges, culture and values, compensation and benefits
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Comparative analysis of changes in passenger's perception for airline companies' service quality before and during COVID-19 using topic modeling Journal of Air Transport Management (IF 5.428) Pub Date : 2024-01-28 Dohun Kim, Chaehwan Lim, Hun-Koo Ha
The purpose of this paper is to compare changes in air passenger's perceptions of airline services before and during COVID-19. To conduct the comparative analysis, two approaches have been employed, topic modeling and sentimental analysis. Firstly, influential topics that reflect passenger's opinions are extracted from online reviews using the Latent Dirichlet Allocation (LDA) model. These topics are
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Taking flight: Exploring the relationship between air transport and Malaysian economic growth Journal of Air Transport Management (IF 5.428) Pub Date : 2024-01-25 Asif Raihan, Liton Chandra Voumik, Salma Akter, Abdul Rahim Ridzuan, Mochammad Fahlevi, Mohammed Aljuaid, Sebastian Saniuk
All facets of the tourism business, especially air travel, have been affected by the COVID-19 pandemic. The aviation industry continues to contribute to international economic expansion significantly. The article aims to identify the impact of the development of air transport on the economic development of the Malaysian economy. Therefore, the air-transportation-led growth hypothesis (ALGH) was investigated
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A study on the effect of job stress factors on mental health and service sabotage: Focusing on flight attendants in foreign airlines Journal of Air Transport Management (IF 5.428) Pub Date : 2024-01-20 Kyungjin Kate Yum, Jinyoung Olivia Choi, Sunghyup Sean Hyun
This study investigated the relationship among six job stress factors (job insecurity, meritocracy, vertical communication, acculturation stress, organizational silence, and psychological contract), mental health deterioration, and service sabotage in flight attendants working for foreign (non-Korean) airlines. Six job stressors were identified through a literature review and focus group interviews
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Using constraint programming to address the operational aircraft line maintenance scheduling problem Journal of Air Transport Management (IF 5.428) Pub Date : 2024-01-18 Jean-Baptiste Sciau, Agathe Goyon, Alexandre Sarazin, Jérémy Bascans, Charles Prud’homme, Xavier Lorca
Maintenance plays a major role in air transport management. Airlines are looking to reduce aircraft unavailability. Optimizing maintenance is a perspective to increase the operational potential of aircraft and offers novel managerial implications. Maintenance tasks are traditionally organized in periodic blocks of activities. In the modern aviation, more and more maintenance jobs can be performed between
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Constraints on women pilots in airline industry: A rising sector of international trade Journal of Air Transport Management (IF 5.428) Pub Date : 2024-01-14 Fatma Cande Yaşar Dinçer, Gözde Yirmibeşoğlu
Commercial airlines of air transportation have been going through a number of enormous changes since the 1980's with the impact of globalization in the whole world. Similarly, Türkiye participating in the globalization process has been deeply affected by the norms and values of international trade. This article focuses mainly on one of the changes, the access of women in a totally men dominated area
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How do increased job demands resulting from rationalization of costs exhaust flight attendants and push them to leave? An international study Journal of Air Transport Management (IF 5.428) Pub Date : 2024-01-14 Sari Mansour, Malik Faysal-Azeem
Cost effectiveness becomes a priority of airlines pushed organizations to achieve their objectives of being cost leader. This strategy generated multiple employees' related issues such as emotional exhaustion, work-family conflict, and a high turnover. However, these issues still need more research in the airline sector. In the current study, we aim to explore the indirect effect of increased job demands
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Looking for winning policies to address the climate issue in EU-aviation Journal of Air Transport Management (IF 5.428) Pub Date : 2024-01-06 Stef Proost
This paper analyzes the different climate policies that are used by the EU in the aviation sector. Using a simple model, we study their effects on welfare as well as on their acceptability. The efficiency and acceptability depend on the strength of the international agreements (Paris, 2015; CORSIA, 2020) and on the implementation of the policy within the EU. Four different policies are discussed: carbon
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Schedule-level optimization of flight block times for improved airline schedule planning: A data-driven approach Journal of Air Transport Management (IF 5.428) Pub Date : 2024-01-01 Ahmed Abdelghany, Khaled Abdelghany, Vitaly S. Guzhva
The development of flight block time schedules for future airline operations is a critical aspect of the schedule development process. It involves determining the appropriate gate-to-gate time for each flight to optimize on-time performance and ensure efficient utilization of flight resources. This article presents a modeling framework that addresses the airlines' scheduled block time (SBT) design
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Comparison of performance between PMS and trombone arrival route topologies in terminal maneuvering area Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-30 Wenjing Liu, Daniel Delahaye, Fulya Aybek Cetek, Qiuhong Zhao, Philippe Notry
The contradiction between air traffic capacity and demand exerts congestion and delay, resulting in airspace operating at or above its capacity. This paper proposes a performance comparison of two arrival route topologies in Terminal Maneuvering Area (TMA) with a tailored optimization algorithm, including Point Merge System (PMS) and trombone paradigms. We aim at enhancing the capacity of arrival topologies
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An airport gate reassignment problem with gate closures Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-29 Dursen Deniz Poyraz, Meral Azizoğlu
In this study, we consider an airport gate reassignment problem where an airport has assigned gates to aircraft, but then a disruption occurs at some of the gates. After the disruption, we need to reassign the aircraft to the gates while taking into account both efficiency and stability measures. For efficiency, we want to use the gates as much as possible, considering both the number of aircraft and
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Analyzing global passenger flows based on choice modeling in the air transportation system Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-27 Katrin Kölker, Klaus Lütjens, Volker Gollnick
Airline passenger decisions determine operation of airlines and aircraft. Therefore, global air transport models need to consider these decisions. Thereby, we develop a discrete choice model for passenger decisions describing global passenger flows based on different parameters. The model distinguishes between passenger itineraries defined by attributes like ticket price, travel time and number of
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Assessment of aviation accident datasets in severity prediction through machine learning Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-28 Farzane Omrani, Hossein Etemadfard, Rouzbeh Shad
The importance and seriousness of civil aviation safety have become more noticeable due to the intricate advancement of air transportation. It is crucial to apply diverse datasets to evaluate and anticipate the degree of aviation safety. Data on the different causes of accidents can be analyzed and applied to predict and prevent potential accidents. The main goal of this research is to explore how
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Econometric evidence on the profits and revenues of Indian regional airports Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-27 Nivea Thomas, Kumar Neeraj Jha
The low profitability of regional airports is a major impediment to the development of regional aviation. Without subsidies, regional airports struggle to subsist financially. This paper elucidates the various revenue and expenditure heads of Indian airports and discusses the financial status of regional airports. This study also uses panel data from 42 Indian regional airports from 2014–2015 to 2018–2019
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Impact of emerging sustainable aircraft technologies on the existing operating ecosystem Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-21 Diego Babuder, Yulia Lapko, Paolo Trucco, Ray Taghavi
Emerging sustainable aircraft technologies—such as sustainable aviation fuel, electric and hydrogen propulsion—are expected to play a major role in the decarbonization of the aviation sector. Nevertheless, at present, the exact impact that their deployment will have on the existing operating ecosystem is not yet clear. To shed some light on this area, this paper adopts an exploratory research approach
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Quasi-stochastic optimization model for time-based arrival scheduling considering Standard Terminal Arrival (STAR) track time and a new delay-conflict relationship Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-21 Aitichya Chandra, Nipun Choubey, Ashish Verma, K.P. Sooraj
This paper presents a quasi-stochastic mixed integer programming model to determine the optimal arrival schedule of flights in the Terminal Area (TMA). The proposed formulation addresses two key aspects of TMA operations: (i) the variability induced due to the Standard Terminal Arrival (STAR) descent procedure and (ii) the risk of merging conflicts due to scheduling delays. The variability arising
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The nexus between air transport and economic growth geographically: An evidence based on heterogeneous panel data models Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-21 Gizem Kaya, Umut Aydın
This study examines the nexus between air transport and economic growth on continents by considering the heterogeneity in panel data with the data of 91 countries for the period 2002–2021. According to the result of the Pedroni's cointegration test, economic growth affects air transport in the long-run. These results are also supported by the results of the error correction model. In the short-run
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Air–rail timetable synchronisation: Improving passenger connections in Europe within and across transportation modes Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-16 Clara Buire, Aude Marzuoli, Daniel Delahaye, Marcel Mongeau
This study addresses the integration of the railway and airline scheduling problems, in order to offer passengers smooth transfers between rail and air. This paper focuses on optimising the air and rail timetables at 18 major European airports including three hubs and their associated train stations. A multimodal passenger demand simulation, using constraint programming and based on real data, is proposed
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Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-16 David H. Hopfe, Kiljae Lee, Chunyan Yu
Recurrent Neural Networks (RNNs), known for handling complex data tasks like language translation and speech recognition, are seldom employed in airport management practice for daily and weekly passenger flow forecasting tasks. In this paper, we evaluate the effectiveness and adaptability of various neural network models (RNN, LSTM, GRU, Deep LSTM, Bidirectional LSTM, multivariate RNN, and multivariate
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Identifying the determinants of carbon emissions of individual airlines around the world Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-03 Xuanyu Yue, Julie Byrne
Increasing global demand for flights coupled with a focus on mitigating climate change will soon see the introduction of more stringent policy governing carbon emissions from aviation. Airlines face the challenge of catering to increased demand while achieving carbon reductions. We implement Log-Mean Divisia Index (LMDI) Modelling to identify the most influential factors of contributing to carbon emissions
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Efficiency assessment in European air traffic management—A fundamental analysis of data, models, and methods Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-03 Thomas Standfuss, Georg Hirte, Michael Schultz, Hartmut Fricke
The European air traffic management system is characterized by its dynamic and diverse nature. To effectively address future challenges, it is crucial to enhance efficiency and resilience within the system. As an integral part of the air traffic system, air navigation services operate as natural monopolies and are subject to regulatory measures. While operational and academic studies regularly address
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Assessing impacts of the Russia-Ukraine conflict on global air transportation: From the view of mass flight trajectories Journal of Air Transport Management (IF 5.428) Pub Date : 2023-12-01 Chen Chu, Hengcai Zhang, Jiayin Zhang, Lin Cong, Feng Lu
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Editorial Board Journal of Air Transport Management (IF 5.428) Pub Date : 2023-11-22
Abstract not available
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The association between emotional intelligence and decision making for pilots Journal of Air Transport Management (IF 5.428) Pub Date : 2023-11-14 Christine Beling, Graham Wild
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Towards a resilience assessment framework for the airport passenger terminal operations Journal of Air Transport Management (IF 5.428) Pub Date : 2023-11-03 Guilherme S. Zapola, Evandro J. Silva, Cláudio J.P. Alves, Carlos Müller
Airport terminals can generate and intensify the undesired phenomena that take place on transportation networks in the wake of disruptive events. The more resilient a terminal is, the more easily it will bounce back to the desired state, causing less nuisance to the users. In this study, we expand the state-of-the-art airport terminal resilience assessment through fast-time simulation and tailored
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Empirical analysis of Manager's perceptions towards aviation carbon emissions reduction Journal of Air Transport Management (IF 5.428) Pub Date : 2023-10-30 Hong Guan, Raafat George Saadé, Hao Liu
Aviation professionals are key to the successful implementation of aviation climate strategy (ies), yet little is known about their perceptions, adequacy and readiness to act upon it. This represents an important gap in the body of knowledge such that we do not know how decision-makers will act towards meeting their climate obligation goals. Motivated by this lack of understanding we set to evaluate
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Navigating multi-airport systems: A case study of brazilian airport concessions and the multi-airport system of rio de janeiro Journal of Air Transport Management (IF 5.428) Pub Date : 2023-10-26 Thiago Cardoso Araújo, Helena Gouvêa de Paula Hocayen
The public hearing on the seventh round of Brazilian airport concessions gave rise to debates on the multi-airport system and its coordinated modelling. Considering that the airport sector is an important source of both passenger and cargo traffic in a country the size of a continent such as Brazil, this article reviews the evolution of Brazilian airport concessions and outlines their perspectives
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Aircraft routing clusters and their impact on airline delays Journal of Air Transport Management (IF 5.428) Pub Date : 2023-10-27 Christopher Lonzius, Anne Lange
Airlines operate thousands of aircraft routings every day with a multitude of options to connect single flights integrated in a routing. Since airline delays entail significant costs for airlines and to societies, we aim to identify how far individual aircraft routings differ in on-time performance. We apply a novel approach to cluster aircraft routings and compute the routing strength to quantify
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The adverse impact of flight delays on passenger satisfaction: An innovative prediction model utilizing wide & deep learning Journal of Air Transport Management (IF 5.428) Pub Date : 2023-10-26 Cen Song, Xiaoqian Ma, Catherine Ardizzone, Jun Zhuang
This article addresses the substantial negative influence of flight delays on passenger satisfaction and aims to bridge the research gap in understanding passenger satisfaction during delayed flights. We present a passenger satisfaction prediction model leveraging a real dataset from Kaggle. Through an examination of the interplay between individual in-flight services and passenger characteristics
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Disruption and recovery of the US domestic airline networks during the COVID-19 pandemic Journal of Air Transport Management (IF 5.428) Pub Date : 2023-10-11 Kashin Sugishita, Hiroki Mizutani, Shinya Hanaoka
The COVID-19 pandemic has had serious impacts on the airline industry. Ensuring that aviation policies in emergent situations both guarantee network connectivity and maintain competition among airlines is crucial in these circumstances. To this end, we aimed to understand the network dynamics of individual airlines. In this study, we quantitatively reveal the day-to-day dynamics of these US domestic
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Are supply and demand the main key drivers of airport parking prices? The quantitative study Journal of Air Transport Management (IF 5.428) Pub Date : 2023-10-10 Alireza Mahpour, Majid Asadi, Amirhossein Baghestani
Parking pricing always poses a challenge to airport management due to their impact on revenue. According to previous studies, parking prices have not considered air transportation supply and demand simultaneously until now, which is why challenges have arisen. Also, no model identifies the factors affecting parking prices and expresses their relationship quantitatively. The contribution of the current
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An adaptive greedy heuristic for large scale airline crew pairing problems Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-29 Bahadır Zeren, Ender Özcan, Muhammet Deveci
A crew pairing represents a sequence of flight legs that constitute a crew work allocation, starting and ending at the same crew base. A complete set of crew pairings covers all flight legs in the timetable of an airline for a given planning horizon. That determines the rosters for the crew and their quality, since those pairings would potentially include layovers, deadheads and connection times which
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Game-theoretic analysis of the impact of crew overnight hotel cost on airlines’ fleet assignment and crew pairing Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-26 Chengjin Ding, Xinyuan Chen, Weiwei Wu, Wenbin Wei, Zelin Xin
Crew costs account for a high proportion of the total operational costs of an airline. The cost of overnight stay for the crew at a hotel is an important additional cost. To address this problem, this study establishes an integrated model to depict the interaction between the fleet assignment problem and the crew pairing problem. Because this cost is largely determined by the price agreed by the agreement
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Airline satisfaction and loyalty: Assessing the influence of personality, trust and service quality Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-25 Steven Leon, Sonoma Dixon
This study investigates the determinants of satisfaction and behavioral intention loyalty in the U.S. airline industry, adopting various predictors including personality traits, service quality, trust, and conative (commitment) loyalty. Based on a dataset of 624 respondents from an online survey, this study provides empirical evidence, using Ordinary Least Squares (OLS) regression, on the effects the
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An integrated vertiport placement model considering vehicle sizing and queuing: A case study in London Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-18 Jose Escribano Macias, Carl Khalife, Joseph Slim, Panagiotis Angeloudis
The increasing level of congestion and infrastructure costs in cities have created a need for more intelligent and flexible transport systems. Urban Air Mobility (UAM) introduces the third dimension to intra-urban transport at a minimal infrastructure cost, bypassing congestion and providing reliable travel times to users through the provision of air passenger transportation. The performance of UAM
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Developing an airport sustainability evaluation index through composite indicator approach Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-12 Xibei Jia, Sven Buyle, Rosário Macário
This paper proposes a holistic definition of airport sustainability comprising social, economic, operational, and environmental dimensions. Methodologically, a composite indicator approach is applied to build the Airport Sustainability Evaluation Index (ASEI), which aims to benchmark airports' sustainability performance across the four dimensions. To justify the issue of subjectivity in composite indicator
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AI-driven assistants for education and research? A case study on ChatGPT for air transport management Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-14 Sebastian Wandelt, Xiaoqian Sun, Anming Zhang
Artificial Intelligence is in the process to transform various parts of the aviation industry, from the reduction of delays and increasing fuel efficiency to better demand prediction models. The latest kid on the block is ChatGPT, a large language model developed by OpenAI, which has made into the news for its mind-blowing ability to create textual content in any structured language. Doing so, ChatGPT
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Investigating the robustness of UK airport net zero plans Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-10 Peter Hemmings, Michael Mulheron, Richard J. Murphy, Matt Prescott
Airports hold a critical role in the success of the air transport systems' transition to net zero greenhouse gas emissions. As airport net zero targets and plans are released, it is necessary to establish their alignment with current best practice. A net zero for airports framework is developed through literature review incorporating sector-specific themes of importance. Publicly available net zero
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Providing resilience due to adverse weather events: A cost-benefit analysis for the case of the Milan Malpensa airport in Italy Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-12 Francesca Pagliara, Marco Zingone
Climate change is one of the key challenges for the future of human society and the planet. A strong coordination of political strategies, both nationally and internationally, is necessary, as well as a change in the lifestyles of large parts of the population. In this context, this paper aims at introducing an application of the Cost-Benefit Analysis (CBA) for providing resilience of a transport infrastructure
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From passenger itineraries to climate impact: Analyzing the implications of a new mid-range aircraft on the global air transportation system Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-13 Markus Kühlen, Katrin Kölker, Florian Linke, Katrin Dahlmann, Volker Gollnick, Klaus Lütjens
Aircraft design usually focuses on utilizing new technologies to improve mission performance of individual aircraft and, thus, reduce cost, emissions and climate impact of the global air transportation system (ATS). However, efficiency gains in the ATS can also be achieved by improving the alignment of payload–range capabilities and aircraft–route assignment of the overall fleet. Therefore, this article
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Impact of cost approximation on the efficiency of collaborative regulation resolution mechanisms Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-14 Gérald Gurtner, Tatjana Bolić
Air Traffic Flow Management (ATFM) measures are often used to alleviate capacity demand imbalances. Usually, these measures impose a departure delay on flights crossing the airspace in question, where delay is assigned on a “First Planned First Served” (FPFS) base, which minimises total delay. Since delays typically have a different impact on individual flights in terms of cost, a procedure based on
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Predicting aircraft trajectory uncertainties for terminal airspace design evaluation Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-09 Xinting Zhu, Ning Hong, Fang He, Yu Lin, Lishuai Li, Xiaowen Fu
The terminal airspace that surrounds an airport is the area with high flight density and complex structure. Aircraft are asked to follow the standard arrival and departure routes in terminal airspace, yet the actual trajectories may deviate due to air traffic control (ATC) instructions, pilots' decisions, surveillance and flying performance variations, etc. Predicting aircraft trajectories considering
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Rostering of air traffic controllers – current practices in Europe, key performance trade-offs and future opportunities Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-05 Goran Pavlović, Radosav Jovanović, Milan Stanojević
The process of staff planning and rostering is one of the key factors affecting the performance of an Air Navigation Service Provider in terms of capacity and cost-efficiency delivered to airspace users. This paper gives a summary of previous works and current rostering practices applied at Area Control Centres (ACCs) in Europe. Furthermore, it identifies key trade-offs between rostering flexibility
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The transition toward sustainability of airport operators. Evidence from Italy Journal of Air Transport Management (IF 5.428) Pub Date : 2023-09-01 Antonio Thomas, Giuseppe Scandurra
Airport operators (AOs) manage an activity which a high economic, social, and environmental impact. For this reason, this sector is highly affected by the adoption of the SDGs and the introduction of specific regulations, such as EU directive 2014/95, which obliges large companies to widespread a not-financial disclosure aimed to demonstrate how their pursuit of the conditions of economic and financial