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How rainfall and air pollution influence flight delays and its associated economic losses: a case study based on Beijing-Shanghai flight in China? 降雨和空气污染如何影响航班延误及其相关的经济损失:基于中国京沪航班的案例研究?
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-11-14 DOI: 10.1016/j.jairtraman.2025.102929
Lai Gan , Shenglong Xie , Tianbao Zhang , Tanglu Li , Yi Zhou , Na Huang , Zhihua Pan , Fei Lun , Qiyuan Hu
Flight delays hinder travel efficiency, causing economic losses and posing huge challenges for the aviation industry. While rising flight delays signal the nexus among weather conditions, their specific impacts were still insufficiently understood, especially considering rainfall and air pollution. By integrating 117,218 Beijing-Shanghai flight records with meteorological dataset, this study quantifies how rainfall and air pollution at both departure and arrival cities influence flight delays at hourly, daily, and monthly scales. Rainfall intensity nonlinearly increases delays: from 36.3 min on clear days to 66.2 min in moderate and above rain. Compound rainfall scenarios led to 26–78 % greater delays compared to single-point rainfall condition. Extreme rainfall event resulted in higher cancellation risk and afternoon delay exceeding clear-day delay by over 150 min. Seasonal analysis identified summer accounting for 39.3 % of all delays, largely driven by monsoon rainfall. Winter delays, though lower in magnitude, were significantly influenced by air pollution, which contributed to 25 % of delay hours during this season. Economic losses due to flight delay reached RMB 254 million during study period, about 70 % attributable to rainfall. These multi-scale mechanisms highlight compound weather-pollution interactions, offering a scientific basis for aviation resilience strategies.
航班延误阻碍了旅行效率,造成了经济损失,给航空业带来了巨大挑战。虽然不断增加的航班延误表明了天气状况之间的联系,但它们的具体影响仍然没有得到充分的了解,特别是考虑到降雨和空气污染。通过将117,218个京沪航班记录与气象数据集相结合,本研究量化了出发和到达城市的降雨和空气污染如何在小时、日和月尺度上影响航班延误。降雨强度非线性增加延误:晴天时为36.3分钟,中雨及以上时为66.2分钟。与单点降雨情况相比,复合降雨情景导致的延误要多26 - 78%。极端降雨事件导致航班取消风险增加,下午延误时间比晴天延误时间多150多分钟。季节分析表明,夏季占所有延误的39.3%,主要是由季风降雨造成的。冬季延误的程度虽然较低,但受空气污染的影响很大,在冬季延误的时间中,空气污染占25%。在研究期间,航班延误造成的经济损失达2.54亿元,其中约70%归因于降雨。这些多尺度机制突出了天气与污染的复合相互作用,为航空弹性策略提供了科学依据。
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引用次数: 0
Addressing the systemic complexity of airline irregular operations: Toward integrated schedule recovery 解决航空公司不正常运营的系统复杂性:迈向综合时刻表恢复
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-11-06 DOI: 10.1016/j.jairtraman.2025.102925
Ahmed Abdelghany , Khaled Abdelghany
Irregular operations (IROPS) are among the most complex challenges in airline management. Drawing from both academic gaps and practitioner insight, this paper reframes IROPS as a system-level problem rooted in capacity–demand imbalances and characterized by deeply interdependent recovery decisions. We discuss main core recovery actions and maps the main directional interdependencies among them, highlighting how local actions propagate across the airline network. This reconceptualization shifts the focus from compartmentalized solutions toward integrated, operationally aligned recovery models. The contribution lies in redefining the problem itself to better reflect the realities of airline operations and decision-making. Our goal is to provide a foundation for future modeling, simulation, and optimization studies that more accurately represent the dynamics of large-scale disruption recovery.
不正常运营是航空公司管理中最复杂的挑战之一。根据学术差距和从业者的见解,本文将IROPS重新定义为植根于产能需求失衡的系统层面问题,并以高度相互依存的恢复决策为特征。我们讨论了主要的核心恢复行动,并绘制了它们之间的主要方向相互依赖关系,强调了本地行动如何在航空公司网络中传播。这种重新概念化将重点从分散的解决方案转移到集成的、操作一致的恢复模型上。其贡献在于重新定义问题本身,以更好地反映航空公司运营和决策的现实。我们的目标是为未来的建模、模拟和优化研究提供基础,以更准确地代表大规模中断恢复的动态。
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引用次数: 0
Exploring the determinants of domestic air travel across Africa 探索非洲国内航空旅行的决定因素
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-11-05 DOI: 10.1016/j.jairtraman.2025.102924
Tassew Dufera Tolcha , Eric Tchouamou Njoya , Panayotis Christidis
This study examines the determinants of domestic air travel demand within African countries, a region underrepresented in existing literature, which has predominantly focused on international routes or domestic travel in other continents. Using a gravity model, the study provides a comprehensive analysis that incorporates socio-economic variables and service-related factors. The findings indicate that domestic air travel demand is significantly influenced by socio-economic factors; specifically, larger educated populations and higher GDP per capita are positively associated with travel demand. The effect of government ownership of airlines on passenger demand is inconclusive: state ownership positively influences demand in Algeria, Ethiopia, and Morocco, but has a negative impact in Kenya, South Africa, and Nigeria. Service-related aspects also play a crucial role: higher flight frequencies, lower airfares, the presence of low-cost carriers (LCCs), and better connectivity positively influence domestic travel demand. These findings vary across countries, reflecting the diverse economic and infrastructural landscapes of Africa. The study highlights the importance of economic and infrastructural development in boosting domestic air travel across the continent. It suggests that policies aimed at supporting LCCs, enhancing airport connectivity, and promoting economic growth could effectively stimulate domestic air travel.
本研究考察了非洲国家国内航空旅行需求的决定因素,这是一个在现有文献中代表性不足的区域,主要集中在国际航线或其他大陆的国内旅行。该研究采用重力模型,对社会经济变量和服务相关因素进行了综合分析。研究发现,国内航空旅行需求受社会经济因素影响显著;具体来说,更多的受教育人口和更高的人均国内生产总值与旅游需求呈正相关。航空公司的政府所有权对乘客需求的影响是不确定的:在阿尔及利亚、埃塞俄比亚和摩洛哥,国有所有权对需求有积极影响,但在肯尼亚、南非和尼日利亚,国有所有权对需求有消极影响。与服务相关的方面也发挥着至关重要的作用:更高的航班频率、更低的机票价格、低成本航空公司(lcc)的存在以及更好的连通性对国内旅行需求产生了积极影响。这些调查结果因国家而异,反映了非洲不同的经济和基础设施格局。该研究强调了经济和基础设施发展对促进非洲大陆国内航空旅行的重要性。研究表明,旨在支持低成本航空公司、加强机场互联互通和促进经济增长的政策可以有效刺激国内航空旅行。
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引用次数: 0
Exploring air-rail cooperation in China under asymmetric dependency: An evolutionary game approach 非对称依赖下的中国空铁合作:一种进化博弈方法
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-11-05 DOI: 10.1016/j.jairtraman.2025.102923
Wanting Wu , Xi Chen , Hongchang Li
Air-rail transport for passenger travel is gaining attention as a sustainable solution to urbanization, climate change, and the growing demand for seamless travel. Despite its potential, air-rail cooperation in China remains underdeveloped, primarily due to asymmetric dependency between airlines and China Railway Group (CR). This study aims to investigate the dynamics of this cooperation, focusing on resource sharing, revenue distribution, and collaborative service models. By applying the theory of asymmetric dependency and constructing an evolutionary game model, this research analyzes the strategic interactions between CR and airlines. Additionally, it explores the role of policy tools, including subsidies, tax incentives, and penalties, in fostering sustainable cooperation. To enhance empirical relevance, the study incorporates a case study of the Shanghai Hongqiao hub to calibrate model parameters and bridge theoretical assumptions with real-world operational data. It is found that (1) Asymmetric dependency significantly influences air-rail cooperation, with CR's dominant position in railway resources restricting deeper collaboration and fairer revenue distribution; (2) Resource sharing and fair revenue distribution are crucial for the success of new air-rail cooperation, while collaborative service, though equally important, depends on the successful implementation of these two factors; (3) Economic incentives, such as additional airline revenue from increased occupancy, play a critical role in motivating participation in air-rail cooperation; (4) Punitive measures and subsidy policies reduce cooperation costs, fostering early-stage cooperation, while tax incentives are crucial for optimizing long-term benefit distribution. This research contributes to the understanding of the mechanisms underlying air-rail cooperation and provides practical policy recommendations for enhancing the efficiency and sustainability of air-rail transport systems.
航空铁路客运作为城市化、气候变化和不断增长的无缝旅行需求的可持续解决方案,正受到人们的关注。尽管有潜力,但中国的空铁合作仍然不发达,主要是由于航空公司与中国中铁集团(CR)之间的不对称依赖。本研究旨在探讨这种合作的动态,重点关注资源共享、收益分配和协同服务模式。运用非对称依赖理论,构建演化博弈模型,分析了航空公司与航空公司之间的战略互动关系。此外,它还探讨了政策工具在促进可持续合作方面的作用,包括补贴、税收激励和处罚。为了增强实证相关性,本研究纳入了上海虹桥枢纽的案例研究,以校准模型参数,并将理论假设与实际运营数据联系起来。研究发现:(1)非对称依赖显著影响空铁合作,中铁在铁路资源中的主导地位制约了合作的深入和收益分配的公平;(2)资源共享和公平收入分配是新型空铁合作成功的关键,而协同服务虽然同样重要,但也取决于这两个因素的成功实施;(3)经济激励,如入住率增加带来的航空公司额外收入,在激励参与空铁合作方面发挥了关键作用;(4)惩罚性措施和补贴政策降低了合作成本,有利于早期合作,而税收优惠对于优化长期利益分配至关重要。本研究有助于理解空铁合作的机制,并为提高空铁运输系统的效率和可持续性提供切实可行的政策建议。
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引用次数: 0
A sequential approach to airport efficiency evaluation: Integrating two-stage DEA and truncated regression 机场效率评价的序贯方法:两阶段DEA与截断回归的整合
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-11-01 DOI: 10.1016/j.jairtraman.2025.102922
Thuong-Truyet Ngo , Nguyen Tan Huynh , Ching-Chiao Yang
This study aims to evaluate the efficiency of Vietnamese airports using a two-stage SBM-DEA model that captures both infrastructure and environmental performance. In the first stage, infrastructure efficiency is assessed through inputs such as terminal area, apron area, and runway area in relation to aircraft movements and fuel burned. The second stage focuses on environmental efficiency, incorporating throughputs and undesirable outputs such as emissions. The results show that only 27.3 % of airports achieve overall efficiency, a proportion significantly lower than the number of airports efficient in individual stages. To investigate potential determinants of performance, a truncated regression model is applied, examining factors such as urban location, hub status, distance to the city center, and population density. The findings reveal that urban location and distance to the city center significantly influence efficiency, while hub status and population density have negligible impacts. This study contributes to the literature by integrating undesirable outputs into a network DEA framework and refining the regression approach to account for contextual variables, offering practical insights for optimizing infrastructure planning and environmental management in Vietnam's aviation sector.
本研究旨在利用两阶段SBM-DEA模型评估越南机场的效率,该模型同时捕捉基础设施和环境绩效。在第一阶段,通过与飞机运动和燃料消耗相关的终端面积、停机坪面积和跑道面积等输入来评估基础设施效率。第二阶段侧重于环境效率,包括吞吐量和排放等不良产出。结果表明,实现整体效率的机场仅占27.3%,这一比例明显低于各个阶段高效机场的数量。为了研究绩效的潜在决定因素,我们采用了截断回归模型,考察了城市位置、枢纽地位、到市中心的距离和人口密度等因素。研究发现,城市区位和距离对效率的影响显著,而枢纽地位和人口密度对效率的影响可以忽略不计。本研究通过将不良产出整合到网络DEA框架中,并改进回归方法以考虑上下文变量,为优化越南航空部门的基础设施规划和环境管理提供实用见解,从而为文献做出贡献。
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引用次数: 0
Flight wave identification and spatiotemporal connectivity analysis of air route networks in Chinese hub airports 中国枢纽机场航线网络飞行波识别与时空连通性分析
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-27 DOI: 10.1016/j.jairtraman.2025.102921
Jingcong Sun , Xiang Zhou , Ruiling Han
Air route network (ARN) connectivity is critical to the market coverage of civil aviation transport networks and the development quality of the civil aviation industry. However, existing studies have predominantly focused on its spatial connectivity characteristics. Based on this, this study first identifies 41 hub airports by analyzing the complexity of China's ARN and then analyzes their flight wave systems and characteristics. Further, using the seven air traffic control regions in China as spatial units, it examines the intra-regional and extra-regional route network connectivity characteristics of hub airports. The results indicate that (1) China's complex ARN is conducive to forming a clear hierarchical connectivity of nodes. (2) The number of hub airports with sawtooth flight waves is the highest. (3) Overall, China's hub airports possess strong potential for transfer connectivity. However, ARN connectivity and feeder capacity among the seven air traffic control regions differ in, for example, the high homogeneity of route connections between hub nodes, which increases competition in regional aviation markets; the feeder capacity and coverage of feeder routes from hub nodes are insufficient; and the rationality of route structure requires further improvement. This study fully explores flight schedule resources in addressing ARN connectivity issues. It identifies structural problems in China's ARN from the perspective of flight waves and, for the first time, uses a longer time series to analyze China's hub airport ARN connectivity. The findings provide theoretical support for optimizing aviation network layout and offer guidance for further enhancing airport transfer and feeder capacities.
航线网络互联互通关系到民航运输网络的市场覆盖和民航业的发展质量。然而,现有的研究主要集中在其空间连通性特征上。在此基础上,本研究首先通过分析中国ARN的复杂性来识别41个枢纽机场,然后分析其飞行波系统及其特征。以中国7个空中交通管制区域为空间单元,研究了枢纽机场区域内和区域外航线网络连通性特征。结果表明:(1)中国复杂的ARN有利于形成清晰的节点层次连通性。(2)出现锯齿状飞行波的枢纽机场数量最多。(3)总体而言,中国枢纽机场具有强大的中转互联互通潜力。然而,七个空中交通管制区域之间的ARN连通性和支线容量存在差异,例如,枢纽节点之间的航线连接高度同质化,这增加了区域航空市场的竞争;枢纽节点的支线容量和覆盖不足;航线结构的合理性有待进一步提高。本研究充分探索了航班时刻表资源在解决ARN连接问题中的应用。从飞行波的角度确定了中国ARN的结构性问题,并首次使用更长的时间序列来分析中国枢纽机场ARN的连通性。研究结果为优化航空网络布局提供了理论支持,并为进一步提高机场中转和支线能力提供了指导。
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引用次数: 0
Modeling aircraft emissions during the taxiing phase to assess air quality impacts: An Australian airport case study 模拟飞机在滑行阶段的排放以评估空气质量影响:一个澳大利亚机场的案例研究
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-27 DOI: 10.1016/j.jairtraman.2025.102918
Manori Dissanayaka , Tim Ryley , Bojana Spasojevic , Savindi Caldera
As the aviation industry targets net-zero carbon emissions by 2050, the International Civil Aviation Organisation (ICAO) also encourages member states to adopt initiatives to improve air quality by addressing other pollutants. Some airport operators voluntarily evaluate their impact on air quality. Limited literature is available on air quality assessment methods around airports. This paper proposes a refined ICAO air quality model focused on the taxiing phase, customised for both aircraft and airport specifics, providing more accurate emission estimates than the standard model. This enhanced model enables airport operators, airlines, and general aviation operators to create more precise air pollutant emission inventories. Additionally, the results indicate that per-passenger emissions of CO, NOx, HC, and SOx during taxiing are higher in general aviation than for commercial flights at the selected Australian airport case study, with CO emissions around 71 times higher. Consequently, general aviation flights should be included in airport emission inventories due to their significant contribution. In the Australian airport case study, the A330 commercial aircraft and the BE76 general aviation aircraft show the highest CO emissions per passenger during taxiing. Therefore, airlines and general aviation operators should increasingly consider per-passenger emissions during the taxiing phase, along with other factors, in their fleet and operational decisions.
由于航空业的目标是到2050年实现净零碳排放,国际民航组织(ICAO)也鼓励成员国采取措施,通过解决其他污染物来改善空气质量。部分机场营办商自愿评估其对空气质素的影响。关于机场周围空气质量评价方法的文献有限。本文提出了一个细化的国际民航组织空气质量模型,重点关注滑行阶段,针对飞机和机场的具体情况进行定制,提供比标准模型更准确的排放估计。这种增强的模型使机场运营商、航空公司和通用航空运营商能够创建更精确的空气污染物排放清单。此外,结果表明,在选定的澳大利亚机场案例研究中,通用航空在滑行期间的CO、NOx、HC和SOx的人均排放量高于商业航班,CO排放量约为商业航班的71倍。因此,由于通用航空航班的贡献很大,因此应将其纳入机场排放清单。在澳大利亚机场案例研究中,A330商用飞机和BE76通用航空飞机在滑行过程中显示出最高的每位乘客CO排放量。因此,在机队和运营决策中,航空公司和通用航空运营商应越来越多地考虑每位乘客在滑行阶段的排放量,以及其他因素。
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引用次数: 0
Frequent flyer programs in academic studies: A literature review of research progress since 2000 学术研究中的飞行常客计划:2000年以来研究进展的文献综述
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-26 DOI: 10.1016/j.jairtraman.2025.102920
Yi Gao, Jiayu Liu
Frequent flyer programs (FFPs) have evolved from simple mileage-based loyalty schemes into sophisticated, revenue-generating entities that play a central role in airline business models. This study conducts a systematic literature review of 107 academic papers on airline FFPs, synthesizing research across ten thematic areas, including their historical development, financial and operational structures, consumer benefits, behavioral impacts, and competitive implications. The review highlights how FFPs enhance airline profitability through increased customer retention, fare premiums, and partnerships with financial institutions, while also serving as strategic tools to maintain market dominance. However, findings reveal that while FFPs successfully drive short-term behavioral loyalty—particularly among elite-tier members—their ability to foster long-term emotional loyalty remains uncertain. Studies indicate that perceived benefits vary across traveler segments, with business travelers and frequent flyers valuing status and exclusivity, while leisure travelers prioritize monetary savings and redemption flexibility. FFPs also create significant switching costs, limiting competition and enabling dominant airlines to command fare premiums, particularly at hub airports. The review further examines challenges such as status demotion, fairness perceptions, regulatory scrutiny, and liability management, alongside emerging trends in personalization, gamification, and technology integration. Identified research gaps include the long-term financial sustainability of FFPs, the psychological mechanisms driving member engagement, and the evolving role of artificial intelligence and big data in loyalty management. Addressing these areas will be crucial for airlines to refine their FFP strategies and maintain customer trust in an increasingly dynamic and competitive aviation landscape.
飞行常客计划(ffp)已经从简单的基于里程的忠诚度计划演变为复杂的、产生收入的实体,在航空公司的商业模式中扮演着核心角色。本研究对107篇关于航空公司ffp的学术论文进行了系统的文献综述,综合了10个主题领域的研究,包括它们的历史发展、财务和运营结构、消费者利益、行为影响和竞争影响。该报告强调了ffp如何通过提高客户保留率、票价溢价和与金融机构的合作来提高航空公司的盈利能力,同时也作为保持市场主导地位的战略工具。然而,研究结果显示,虽然ffp成功地推动了短期的行为忠诚——尤其是在精英阶层成员中——但他们培养长期情感忠诚的能力仍然不确定。研究表明,不同的旅行者群体对积分带来的好处有所不同,商务旅行者和常旅客更看重身份和排他性,而休闲旅行者则更看重省钱和兑换灵活性。ffp还造成了巨大的转换成本,限制了竞争,使占主导地位的航空公司能够获得票价溢价,尤其是在枢纽机场。该报告进一步探讨了地位降级、公平观念、监管审查和责任管理等挑战,以及个性化、游戏化和技术集成等新兴趋势。已确定的研究空白包括ffp的长期财务可持续性、推动会员参与的心理机制,以及人工智能和大数据在忠诚度管理中的不断发展的作用。解决这些问题对于航空公司完善其FFP战略并在日益动态和竞争激烈的航空环境中保持客户信任至关重要。
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引用次数: 0
Can low altitude economy development bring economic and environmental dividends? --evidence from Chinese cities 低空经济发展能否带来经济和环境红利?——来自中国城市的证据
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-25 DOI: 10.1016/j.jairtraman.2025.102919
Jun Tang
Despite the promising development of the low-altitude economy, its economic and environmental effects remain largely unexplored. This study investigates the effects of a low-altitude economy on economic growth and environmental protection and its mechanisms. Based on the panel data of 282 Chinese cities from 2012 to 2022, a synthetic difference-in-difference model and a causal mediator model are adopted to empirically test the effects of the low-altitude economy on total factor productivity and carbon emissions and its mechanisms. The findings indicate that (1) low-altitude economy enhances the city's total factor productivity while adding to the carbon emission intensity. (2) The low-altitude economy primarily drives economic growth through mechanisms such as technological innovation, resource allocation, and industrial upgrading. (3) The low-altitude economy influences carbon emissions by utilizing mechanisms related to energy efficiency and energy structure. Due to its reliance on fossil fuels, the low-altitude economy significantly offsets the contribution of energy efficiency enhancement to emission reduction. (4) Heterogeneity analysis reveals that the low-altitude economy exerts a more significant effect on plain regions, while its effect is more pronounced in regions with both high and low road network density.
尽管低空经济发展前景广阔,但其经济和环境影响仍未得到充分开发。本文探讨了低海拔经济对经济增长和环境保护的影响及其机制。基于2012 - 2022年中国282个城市的面板数据,采用综合差中差模型和因果中介模型,实证检验了低空经济对全要素生产率和碳排放的影响及其机制。研究结果表明:(1)低空经济提高了城市全要素生产率,同时增加了碳排放强度。②低空经济主要通过技术创新、资源配置和产业升级等机制驱动经济增长。③低空经济利用能源效率和能源结构相关机制影响碳排放。由于对化石燃料的依赖,低空经济显著抵消了提高能效对减排的贡献。(4)异质性分析表明,低空经济对平原地区的影响更为显著,而在路网密度高低的地区,低空经济的影响更为明显。
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引用次数: 0
Prompt engineering in generative AI applications for commercial single pilot operations (SiPO): An emerging competency 商业单试点操作(SiPO)生成式人工智能应用中的快速工程:一种新兴能力
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-24 DOI: 10.1016/j.jairtraman.2025.102916
Konstantinos Pechlivanis , Dimitrios Ziakkas
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引用次数: 0
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Journal of Air Transport Management
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