Pub Date : 2026-04-01Epub Date: 2025-12-02DOI: 10.1016/j.jairtraman.2025.102935
Darin Lee, Erin Secatore, Ethan Singer, Eric Amel
This paper compares U.S. airline business models in the deregulation era and provides a data-driven analysis that comprehensively describes the market outcomes following U.S. airline industry consolidation in the 21st century. We detail how these market outcomes following consolidation have impacted consumers. Specifically, we find that: (1) notwithstanding industry consolidation, air travel is extremely accessible, with more choice in domestic and international air travel than two decades ago; (2) as of 2024, U.S. airfares are at or near all-time inflation-adjusted lows; and (3) airlines’ profitability in the post-consolidation era, while modest compared with other large companies, has enabled significant reinvestment in products and service to make travel more convenient, comfortable, and reliable.
{"title":"Business model evolution and consolidation of the U.S. airline industry: Market outcomes in the 21st century","authors":"Darin Lee, Erin Secatore, Ethan Singer, Eric Amel","doi":"10.1016/j.jairtraman.2025.102935","DOIUrl":"10.1016/j.jairtraman.2025.102935","url":null,"abstract":"<div><div>This paper compares U.S. airline business models in the deregulation era and provides a data-driven analysis that comprehensively describes the market outcomes following U.S. airline industry consolidation in the 21st century. We detail how these market outcomes following consolidation have impacted consumers. Specifically, we find that: (1) notwithstanding industry consolidation, air travel is extremely accessible, with more choice in domestic and international air travel than two decades ago; (2) as of 2024, U.S. airfares are at or near all-time inflation-adjusted lows; and (3) airlines’ profitability in the post-consolidation era, while modest compared with other large companies, has enabled significant reinvestment in products and service to make travel more convenient, comfortable, and reliable.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"132 ","pages":"Article 102935"},"PeriodicalIF":3.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145682226","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}
Pub Date : 2026-04-01Epub Date: 2025-12-19DOI: 10.1016/j.jairtraman.2025.102957
Jiayu Liu , Ningning Nicole Kong , Yi Gao
This study employs a Difference-in-Differences (DiD) to measure the land use change after a new airport terminal was being built. By comparing land use changes around airports with newly constructed terminals to those around airports without terminal expansion, the study isolates the effects of terminal developments on urban growth and land transformation. Land use data from the United States National Land Cover Database (NLCD) was analyzed across two treatment periods (2011 and 2016) to evaluate shifts in different land use categories such as developed, agricultural, and natural land. Findings indicate that new terminals construction is usually accompanied by accelerating urbanization, with high-intensity developments expanding at the expense of natural and agricultural lands. An exception appears in the 2011 treatment cohort, where agricultural land increasing stands out, likely reflecting concurrent regional conservation and restoration initiatives.
{"title":"Assessing spatial development footprint of urban areas surrounding new airport terminal infrastructure","authors":"Jiayu Liu , Ningning Nicole Kong , Yi Gao","doi":"10.1016/j.jairtraman.2025.102957","DOIUrl":"10.1016/j.jairtraman.2025.102957","url":null,"abstract":"<div><div>This study employs a Difference-in-Differences (DiD) to measure the land use change after a new airport terminal was being built. By comparing land use changes around airports with newly constructed terminals to those around airports without terminal expansion, the study isolates the effects of terminal developments on urban growth and land transformation. Land use data from the United States National Land Cover Database (NLCD) was analyzed across two treatment periods (2011 and 2016) to evaluate shifts in different land use categories such as developed, agricultural, and natural land. Findings indicate that new terminals construction is usually accompanied by accelerating urbanization, with high-intensity developments expanding at the expense of natural and agricultural lands. An exception appears in the 2011 treatment cohort, where agricultural land increasing stands out, likely reflecting concurrent regional conservation and restoration initiatives.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"132 ","pages":"Article 102957"},"PeriodicalIF":3.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786754","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}
Pub Date : 2026-04-01Epub Date: 2025-12-02DOI: 10.1016/j.jairtraman.2025.102950
Eeshan Bhaduri , Charisma F. Choudhury
Urban air mobility (UAM) is increasingly being recognised as a promising response to the challenges of rapid urban expansion and its negative externalities. While technological advancements in vertical take-off and landing (VTOL) aircraft have accelerated development in this space, the widespread adoption of UAM services hinges on societal acceptance driven by public perceptions. Understanding these perceptions, especially their variation across regions and over time, is critical for developing policies to maximise their adoption rate. This study leverages a large-scale and long-term Twitter dataset to discern the spatio-temporal evolution of public perceptions towards UAM. To this end, we employed a combination of machine learning (ML) and a large language model (LLM) for performing sentiment classification. Subsequently, sentiment polarities are integrated with time series analysis, indicating the prevalence of positive perception for most of the last decade, while detecting the effect of various real-world events. In terms of spatial K-means clustering results, it reveals four clusters of countries with distinct characteristics. For example, people in countries like the USA and Australia are observed to be highly opinionated towards UAM, while public discourse in Germany and India is more neutral. Finally, dynamic topic modelling coupled with an LLM-based representation uncovers underlying themes of public discourse. Topic model findings underline three major global themes: (1) industry innovation and testing, (2) unmanned aviation systems, and (3) mobility benefits. Furthermore, we identified in some cases that local themes driven by specific incidents have a more substantial effect in shaping the preferences than the generic global ones. The paper hence contributes to the literature by providing the first global-level dynamic spatio-temporal assessment of future UAM services. The insights are expected to offer valuable policy guidance for policymakers, regulators, and industry stakeholders aiming to improve the public acceptance of UAM technologies and consequently the uptake.
{"title":"Shifting skies: A cross-country investigation of evolution of public perception toward urban air mobility through Twitter (X) discourse","authors":"Eeshan Bhaduri , Charisma F. Choudhury","doi":"10.1016/j.jairtraman.2025.102950","DOIUrl":"10.1016/j.jairtraman.2025.102950","url":null,"abstract":"<div><div>Urban air mobility (UAM) is increasingly being recognised as a promising response to the challenges of rapid urban expansion and its negative externalities. While technological advancements in vertical take-off and landing (VTOL) aircraft have accelerated development in this space, the widespread adoption of UAM services hinges on societal acceptance driven by public perceptions. Understanding these perceptions, especially their variation across regions and over time, is critical for developing policies to maximise their adoption rate. This study leverages a large-scale and long-term Twitter dataset to discern the spatio-temporal evolution of public perceptions towards UAM. To this end, we employed a combination of machine learning (ML) and a large language model (LLM) for performing sentiment classification. Subsequently, sentiment polarities are integrated with time series analysis, indicating the prevalence of positive perception for most of the last decade, while detecting the effect of various real-world events. In terms of spatial K-means clustering results, it reveals four clusters of countries with distinct characteristics. For example, people in countries like the USA and Australia are observed to be highly opinionated towards UAM, while public discourse in Germany and India is more neutral. Finally, dynamic topic modelling coupled with an LLM-based representation uncovers underlying themes of public discourse. Topic model findings underline three major global themes: (1) industry innovation and testing, (2) unmanned aviation systems, and (3) mobility benefits. Furthermore, we identified in some cases that local themes driven by specific incidents have a more substantial effect in shaping the preferences than the generic global ones. The paper hence contributes to the literature by providing the first global-level dynamic spatio-temporal assessment of future UAM services. The insights are expected to offer valuable policy guidance for policymakers, regulators, and industry stakeholders aiming to improve the public acceptance of UAM technologies and consequently the uptake.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"132 ","pages":"Article 102950"},"PeriodicalIF":3.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145682227","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}
Pub Date : 2026-04-01Epub Date: 2025-12-10DOI: 10.1016/j.jairtraman.2025.102937
Nicolò Avogadro, Chiara Morlotti, Renato Redondi
Demand forecasting is a pivotal aspect of the multifaceted business of airlines and airports, significantly influencing long-term strategic decisions. For airports, accurate traffic forecasts are particularly crucial for aligning infrastructure capacity with future needs, necessitating tailored approaches to capture complex demand dynamics. This paper proposes a novel modeling framework to formulate high-granular itinerary-level demand forecasts, ultimately ensuring robust system-level predictions. The modeling framework leverages a state-of-the-art integrated demand modeling coupled with a customized scenario analysis tool. We demonstrate the validity of the proposed approach in supporting airport strategic planning by reporting the outcomes of its application on the Italian airport system, formulating traffic forecasts up to 2035 and testing predictive ability based on actual traffic data for 2024. We showcase the adaptability of the framework in addressing diverse challenges that decision-makers and policymakers will face in the near future, such as implementing policies to support the aviation industry’s transition to net-zero emissions.
{"title":"Forecasting high-granular air passenger demand flows: An integrated modeling framework applied to the Italian airport system","authors":"Nicolò Avogadro, Chiara Morlotti, Renato Redondi","doi":"10.1016/j.jairtraman.2025.102937","DOIUrl":"10.1016/j.jairtraman.2025.102937","url":null,"abstract":"<div><div>Demand forecasting is a pivotal aspect of the multifaceted business of airlines and airports, significantly influencing long-term strategic decisions. For airports, accurate traffic forecasts are particularly crucial for aligning infrastructure capacity with future needs, necessitating tailored approaches to capture complex demand dynamics. This paper proposes a novel modeling framework to formulate high-granular itinerary-level demand forecasts, ultimately ensuring robust system-level predictions. The modeling framework leverages a state-of-the-art integrated demand modeling coupled with a customized scenario analysis tool. We demonstrate the validity of the proposed approach in supporting airport strategic planning by reporting the outcomes of its application on the Italian airport system, formulating traffic forecasts up to 2035 and testing predictive ability based on actual traffic data for 2024. We showcase the adaptability of the framework in addressing diverse challenges that decision-makers and policymakers will face in the near future, such as implementing policies to support the aviation industry’s transition to net-zero emissions.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"132 ","pages":"Article 102937"},"PeriodicalIF":3.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145734007","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}
Pub Date : 2026-03-01Epub Date: 2025-10-04DOI: 10.1016/j.jairtraman.2025.102894
Runming Wang , Bo Jiang , Rui Yang , Chenglong Li , Yuan Zheng , Xiang Kong
The terminal airspace of UAV takeoff and landing areas serves as the foundation for ensuring the safe and efficient operation of UAVs. Within this area, the air traffic environment is highly complex, making UAVs prone to collisions, delays, and other issues. However, research on terminal airspace and flight rules for UAV takeoff and landing areas remains scarce. This study designs a terminal airspace for small UAVs with a multi-layered annular frustum structure based on a hovering holding mode and proposes two operational modes for the terminal area: the Open Queue Approach (OQA) and the Directed Queue Approach (DQA). Mathematical models for performance evaluation metrics of these operational modes are developed. By establishing and solving a Mixed Integer Nonlinear Programming (MINP) model and developing a simulation environment for UAV terminal airspace operations using the SimPy library, the study proposes optimization-based and statistics-based methods for operational mode performance evaluation, quantitatively assessing the performance of different terminal area operational modes from the perspectives of volume, operational efficiency, and safety. In addition, controlled simulation experiments are conducted to compare the operational performance of the proposed hovering holding mode with a representative loitering holding mode under high-traffic scenarios. The results show that the hovering holding mode proposed in this paper can reduce UAV waiting time by 47.9 % compared to the loitering holding mode; the minimum airspace volume under the OQA operational mode is smaller than that of the DQA mode; the OQA mode demonstrates superior efficiency, while the DQA mode exhibits better performance from the perspective of safety.
{"title":"Performance evaluation of operational modes in terminal airspace of UAV takeoff and landing areas","authors":"Runming Wang , Bo Jiang , Rui Yang , Chenglong Li , Yuan Zheng , Xiang Kong","doi":"10.1016/j.jairtraman.2025.102894","DOIUrl":"10.1016/j.jairtraman.2025.102894","url":null,"abstract":"<div><div>The terminal airspace of UAV takeoff and landing areas serves as the foundation for ensuring the safe and efficient operation of UAVs. Within this area, the air traffic environment is highly complex, making UAVs prone to collisions, delays, and other issues. However, research on terminal airspace and flight rules for UAV takeoff and landing areas remains scarce. This study designs a terminal airspace for small UAVs with a multi-layered annular frustum structure based on a hovering holding mode and proposes two operational modes for the terminal area: the Open Queue Approach (OQA) and the Directed Queue Approach (DQA). Mathematical models for performance evaluation metrics of these operational modes are developed. By establishing and solving a Mixed Integer Nonlinear Programming (MINP) model and developing a simulation environment for UAV terminal airspace operations using the SimPy library, the study proposes optimization-based and statistics-based methods for operational mode performance evaluation, quantitatively assessing the performance of different terminal area operational modes from the perspectives of volume, operational efficiency, and safety. In addition, controlled simulation experiments are conducted to compare the operational performance of the proposed hovering holding mode with a representative loitering holding mode under high-traffic scenarios. The results show that the hovering holding mode proposed in this paper can reduce UAV waiting time by 47.9 % compared to the loitering holding mode; the minimum airspace volume under the OQA operational mode is smaller than that of the DQA mode; the OQA mode demonstrates superior efficiency, while the DQA mode exhibits better performance from the perspective of safety.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"131 ","pages":"Article 102894"},"PeriodicalIF":3.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267565","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}
Pub Date : 2026-03-01Epub Date: 2025-10-03DOI: 10.1016/j.jairtraman.2025.102912
Bas de Bruijn, Annelies Oosterhoff, Bas Kodden
This study investigates how access to corporate aircraft moderates the relationship between business travel stress and employee well-being. Using the Job-Demands-Resources and Person-Environment Fit models, this research reveals that business travel stress relates to time pressure, travel environment, and work-family conflict, which affect physical, psychological, and social well-being. However, corporate aircraft use restores control, relieves stress, and reduces fatigue, emotional exhaustion, and work-family conflict. Additionally, it offers positive travel experiences that enhance employee energy, engagement, and job satisfaction. This study addresses a research gap by being the first to explore business travel stress and well-being in corporate aircraft operations, expanding the Job-Demands-Resources model. These findings provide a foundation for future research to further investigate the nuanced relationship between business travel stress and employee well-being. Organizations can benefit from the findings by redefining their business case for corporate aircraft, prioritizing stakeholder well-being as a primary source of return on investment.
{"title":"Business travel stress and the moderating effect of corporate aircraft utilization on employee Well-Being: Business aviation from a stakeholder perspective","authors":"Bas de Bruijn, Annelies Oosterhoff, Bas Kodden","doi":"10.1016/j.jairtraman.2025.102912","DOIUrl":"10.1016/j.jairtraman.2025.102912","url":null,"abstract":"<div><div>This study investigates how access to corporate aircraft moderates the relationship between business travel stress and employee well-being. Using the Job-Demands-Resources and Person-Environment Fit models, this research reveals that business travel stress relates to time pressure, travel environment, and work-family conflict, which affect physical, psychological, and social well-being. However, corporate aircraft use restores control, relieves stress, and reduces fatigue, emotional exhaustion, and work-family conflict. Additionally, it offers positive travel experiences that enhance employee energy, engagement, and job satisfaction. This study addresses a research gap by being the first to explore business travel stress and well-being in corporate aircraft operations, expanding the Job-Demands-Resources model. These findings provide a foundation for future research to further investigate the nuanced relationship between business travel stress and employee well-being. Organizations can benefit from the findings by redefining their business case for corporate aircraft, prioritizing stakeholder well-being as a primary source of return on investment.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"131 ","pages":"Article 102912"},"PeriodicalIF":3.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220957","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}
Pub Date : 2026-03-01Epub Date: 2025-09-13DOI: 10.1016/j.jairtraman.2025.102908
Danwen Bao , Jiajun Chu , Yuting Chen , Yu Yan
With the increasing demand for air travel, replacing fuel-powered towing vehicles (FTVs) with electric towing vehicles (ETVs) is a proven strategy for reducing airport ground service costs. The effective deployment and operation of these ETV fleets heavily rely on sophisticated optimization models to manage their daily scheduling and charging. However, previous optimization models often overlook comprehensive life cycle assessment (LCA) and employ simplified charging assumptions, limiting their accuracy and practical applicability. This study addresses these gaps by introducing an innovative Electric Towing Vehicle Routing Problem with Time Windows considering Life Cycle (ETVRPTW-LC) model, categorizing life cycle costs into fixed, operational, and environmental costs. Furthermore, integrating a three-stage linear charging and partial charging strategy enhances model fidelity by more accurately simulating the non-linear and operational realities of ETV recharging compared to traditional linear or full-charge approaches. The Adaptive Large Neighbourhood Search (ALNS) algorithm and Simulated Annealing (SA) algorithm are applied to address local optimality. Numerical experiments, using data from Nanjing Lukou International Airport across three scenarios, demonstrate key findings: (1) ETVs achieve a 5 %–10 % cost advantage over FTVs when considering life cycle costs. (2) ETV costs are concentrated in pre-operation and post-operation phases, while fuel-powered costs dominate the operational phase. Additionally, sensitivity analysis evaluates the impact of key operational parameters on life cycle costs. The results provide airport managers with optimized strategies for towing operations for cost efficiency and airport decarbonization.
{"title":"A life cycle assessment of electric towing vehicle routing problem with time windows: Three-stage linear charging and partial charging strategy","authors":"Danwen Bao , Jiajun Chu , Yuting Chen , Yu Yan","doi":"10.1016/j.jairtraman.2025.102908","DOIUrl":"10.1016/j.jairtraman.2025.102908","url":null,"abstract":"<div><div>With the increasing demand for air travel, replacing fuel-powered towing vehicles (FTVs) with electric towing vehicles (ETVs) is a proven strategy for reducing airport ground service costs. The effective deployment and operation of these ETV fleets heavily rely on sophisticated optimization models to manage their daily scheduling and charging. However, previous optimization models often overlook comprehensive life cycle assessment (LCA) and employ simplified charging assumptions, limiting their accuracy and practical applicability. This study addresses these gaps by introducing an innovative Electric Towing Vehicle Routing Problem with Time Windows considering Life Cycle (ETVRPTW-LC) model, categorizing life cycle costs into fixed, operational, and environmental costs. Furthermore, integrating a three-stage linear charging and partial charging strategy enhances model fidelity by more accurately simulating the non-linear and operational realities of ETV recharging compared to traditional linear or full-charge approaches. The Adaptive Large Neighbourhood Search (ALNS) algorithm and Simulated Annealing (SA) algorithm are applied to address local optimality. Numerical experiments, using data from Nanjing Lukou International Airport across three scenarios, demonstrate key findings: (1) ETVs achieve a 5 %–10 % cost advantage over FTVs when considering life cycle costs. (2) ETV costs are concentrated in pre-operation and post-operation phases, while fuel-powered costs dominate the operational phase. Additionally, sensitivity analysis evaluates the impact of key operational parameters on life cycle costs. The results provide airport managers with optimized strategies for towing operations for cost efficiency and airport decarbonization.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"131 ","pages":"Article 102908"},"PeriodicalIF":3.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047094","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}
Pub Date : 2026-03-01Epub Date: 2025-10-24DOI: 10.1016/j.jairtraman.2025.102916
Konstantinos Pechlivanis , Dimitrios Ziakkas
{"title":"Prompt engineering in generative AI applications for commercial single pilot operations (SiPO): An emerging competency","authors":"Konstantinos Pechlivanis , Dimitrios Ziakkas","doi":"10.1016/j.jairtraman.2025.102916","DOIUrl":"10.1016/j.jairtraman.2025.102916","url":null,"abstract":"","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"131 ","pages":"Article 102916"},"PeriodicalIF":3.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145358853","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}
Pub Date : 2026-03-01Epub Date: 2025-11-15DOI: 10.1016/j.jairtraman.2025.102928
Chaocao Yang , Shuai Xu , Xudong Xie , Yuan Li , Ming Ji , Xuqun You
Air technicians' safety behavior is crucial to aviation safety, and thus it is important to identify factors that may enhance such behavior and explore its mechanisms. By incorporating Safety-Specific Transformational Leadership (SSTL), safety climate, and neuroticism, this study examines whether, how, and when SSTL predicts air technicians' safety behaviors from the perspective of both organizational and individual factors. Correlation, mediation, and moderation analyses were conducted on data from a sample of 995 air technicians from six aviation enterprises in China. The results indicate that SSTL was positively related to air technicians' safety behavior and that this relationship was partially mediated by safety climate. Moreover, neuroticism moderated this effect, such that the positive relationship between SSTL and safety behavior was stronger in air technicians with a higher level of neuroticism. Theoretically, this study combines leadership and personality in a unified framework, enriching understanding of their joint role in predicting safety behaviors. Practically, it guides aviation enterprises to strengthen SSTL and adopt personality-sensitive management to enhance technicians’ safety behaviors.
{"title":"Leadership, safety climate, and neuroticism: Integrating organizational and individual factors into the prediction of air technicians’ safety behaviors","authors":"Chaocao Yang , Shuai Xu , Xudong Xie , Yuan Li , Ming Ji , Xuqun You","doi":"10.1016/j.jairtraman.2025.102928","DOIUrl":"10.1016/j.jairtraman.2025.102928","url":null,"abstract":"<div><div>Air technicians' safety behavior is crucial to aviation safety, and thus it is important to identify factors that may enhance such behavior and explore its mechanisms. By incorporating Safety-Specific Transformational Leadership (SSTL), safety climate, and neuroticism, this study examines whether, how, and when SSTL predicts air technicians' safety behaviors from the perspective of both organizational and individual factors. Correlation, mediation, and moderation analyses were conducted on data from a sample of 995 air technicians from six aviation enterprises in China. The results indicate that SSTL was positively related to air technicians' safety behavior and that this relationship was partially mediated by safety climate. Moreover, neuroticism moderated this effect, such that the positive relationship between SSTL and safety behavior was stronger in air technicians with a higher level of neuroticism. Theoretically, this study combines leadership and personality in a unified framework, enriching understanding of their joint role in predicting safety behaviors. Practically, it guides aviation enterprises to strengthen SSTL and adopt personality-sensitive management to enhance technicians’ safety behaviors.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"131 ","pages":"Article 102928"},"PeriodicalIF":3.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575890","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}
Urban air mobility (UAM) integrates autonomy, electrification, and sharing technologies into air travel with the prospect of connected multimodal transportation systems. Despite technological advances, public acceptance is identified in the literature to be a potential barrier to the widespread UAM deployment in the early stages and its sustainable long-run growth. Here, we investigate whether and what population cohorts embrace UAM as a travel mode to get to an airport by collecting a stated preferences sample dataset in Chicago. A hybrid choice model is then estimated, which accounts for latent or taste heterogeneity in the UAM acceptance behavior, to identify heterogeneous cohorts of UAM (non)users by their (un)observable characteristics and traits. The results provide behavioral and strategic insights that can inform stakeholders and policy makers. Notably, the propensity for UAM is found to be promoted by utilitarian and hedonic beliefs, hindered by acrophobia, and unassociated with safety and security concerns, environmental concerns, and perception of transportation-related benefits. The statistical insignificance of complementary ground access to UAM vertiports can inform strategic infrastructure investment decisions on locating vertiports, specifically by discouraging investments in establishing vertiports in Chicago North Side and downtown. By estimating the model in the willingness-to-pay space, the value of time (hours/$) for UAM, ridehail, rail, and car are directly measured at 72.736, 42.929, 16.268, and 12.357, respectively.
{"title":"Assessing public acceptance of urban air mobility: Behavioral insights","authors":"Fatemeh Nazari , Mohamadhossein Noruzoliaee , Khandker Nurul Habib","doi":"10.1016/j.jairtraman.2025.102907","DOIUrl":"10.1016/j.jairtraman.2025.102907","url":null,"abstract":"<div><div>Urban air mobility (UAM) integrates autonomy, electrification, and sharing technologies into air travel with the prospect of connected multimodal transportation systems. Despite technological advances, public acceptance is identified in the literature to be a potential barrier to the widespread UAM deployment in the early stages and its sustainable long-run growth. Here, we investigate whether and what population cohorts embrace UAM as a travel mode to get to an airport by collecting a stated preferences sample dataset in Chicago. A hybrid choice model is then estimated, which accounts for <em>latent or taste heterogeneity</em> in the UAM acceptance behavior, to identify heterogeneous cohorts of UAM (non)users by their (un)observable characteristics and traits. The results provide behavioral and strategic insights that can inform stakeholders and policy makers. Notably, the propensity for UAM is found to be promoted by utilitarian and hedonic beliefs, hindered by acrophobia, and unassociated with safety and security concerns, environmental concerns, and perception of transportation-related benefits. The statistical insignificance of complementary ground access to UAM vertiports can inform strategic infrastructure investment decisions on locating vertiports, specifically by discouraging investments in establishing vertiports in Chicago North Side and downtown. By estimating the model in the willingness-to-pay space, the value of time (hours/$) for UAM, ridehail, rail, and car are directly measured at 72.736, 42.929, 16.268, and 12.357, respectively.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"131 ","pages":"Article 102907"},"PeriodicalIF":3.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047095","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}
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