{"title":"Symbiotic evolution mechanism of urban air mobility industrial innovation ecosystem: Evidence from low altitude air mobility in Shenzhen","authors":"Xinhui Ren, Jiarui Wang","doi":"10.1016/j.jairtraman.2025.102750","DOIUrl":"10.1016/j.jairtraman.2025.102750","url":null,"abstract":"<div><div>The symbiotic evolution of subjects within the urban air mobility industrial innovation ecosystem is crucial for fostering coordinated development among stakeholders. It serves as a key foundation for achieving mutual benefits and driving high-quality growth in the low-altitude economy. Based on the conceptual model of the urban air mobility industrial innovation ecosystem, the Lokta-Volterra symbiotic evolution model is introduced. Different symbiotic evolution patterns within the system are simulated. Taking the innovation ecosystem of the low-altitude air mobility industry in Shenzhen as an example, the grey estimation method is used to measure the coefficient of symbiosis. This method helps identify the symbiotic relationship of the subjects within the system and analyze the mechanism of symbiotic evolution of the subjects within the innovation ecosystem of the urban air mobility industry under different evolutionary stages. The results show that: (1) The symbiotic relationship between the symbiotic subjects is determined by the symbiotic coefficient. (2) The symbiotic relationships among system subjects vary at different stages. When the symbiotic coefficients are all greater than zero, the subjects reach a reciprocal symbiotic relationship. (3) The innovation ecosystem of the low-altitude air traffic industry in Shenzhen is in the transition stage from growth to higher-order growth evolution. The subject has experienced the evolution process of dual-subject competitive symbiosis, single-subject biased symbiosis, and dual-subject competitive symbiosis. This study provides reference suggestions for the future symbiotic and synergistic development of the urban air mobility industry in the context of the low-altitude economy in other cities from the aspects of industrial balance, subject synergy and scenario innovation.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102750"},"PeriodicalIF":3.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403675","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}
Maria Cecília de Farias Domingos , Rogéria de Arantes Gomes , Hélio da Silva Queiroz Júnior , Viviane Adriano Falcão
{"title":"Unlocking efficiency and environmental impact: Analyzing concessioned Brazilian airports","authors":"Maria Cecília de Farias Domingos , Rogéria de Arantes Gomes , Hélio da Silva Queiroz Júnior , Viviane Adriano Falcão","doi":"10.1016/j.jairtraman.2025.102754","DOIUrl":"10.1016/j.jairtraman.2025.102754","url":null,"abstract":"<div><div>This study explores airport efficiency concerning environmental performance, considering both positive and negative impacts of operations, particularly related to air pollution. While operational efficiency is commonly assessed, this research uniquely evaluates efficiency gains during concession periods and their environmental ramifications. The research aims to redefine the efficiency analysis paradigm by integrating variables that either benefit or harm the system. It uses Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA) to evaluate airport performance, assessing environmental efficiency through Window Analysis annually from 2015 to 2023. The airports in the sample are categorized into groups based on the volume of passengers in which inefficient ones and the benchmarks are identified. The results highlight heterogeneous environmental efficiencies among airports, with notable variations during the pandemic. Regional airports demonstrate efficiency gains, indicating that decentralizing domestic operations and using more efficient aircraft can reduce pollutant emissions. Additionally, the benchmark analysis identifies high-traffic airports as more likely to emit pollutants. Strategically planning competition among nearby concessioned airports is crucial for sustainable efficiency. This study underscores the intricate environmental and operational dynamics in the airport sector, advocating for a holistic approach to sustainable efficiency. The findings offer valuable insights for regulators, airport operators, and policymakers, suggesting pathways for continuous improvement in Brazilian airports' environmental efficiency.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102754"},"PeriodicalIF":3.9,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143226027","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}
Jie Bao, Jiawei Kang, Junfeng Zhang, Zijie Zhang, Jiaqi Han
{"title":"A dynamic control method for airport ground movement optimization considering adaptive traffic situation and data-driven conflict priority","authors":"Jie Bao, Jiawei Kang, Junfeng Zhang, Zijie Zhang, Jiaqi Han","doi":"10.1016/j.jairtraman.2025.102753","DOIUrl":"10.1016/j.jairtraman.2025.102753","url":null,"abstract":"<div><div>The primary objective of this study is to address the taxiing uncertainty in airport ground movement optimization with a novel dynamic control method considering adaptive traffic situation and data-driven conflict priority. To better characterize the airport surface traffic situation, a refined link-level unimpeded taxi time (UTT) estimation method is designed to improve the UTT prediction accuracy, and a comprehensive airport operation evaluation method is developed to identify similar surface traffic situation scenarios. Then, a data-driven method is proposed to discover contributing factors to conflict priority assignment and obtain more realistic conflict resolution behaviors. Finally, the adaptive traffic situation and updated conflict priority approach are embedded into the proposed dynamic airport ground movement optimization framework. One month aircraft trajectory data is collected from a representative mega airport in China to illustrate the procedure. The results reveal that the dynamic control method could achieve better performance of airport ground movement than sequential approach through timely path-adjustment and effective collaboration with other aircraft. Moreover, the adaptive traffic situation approach could achieve better trade-off between computation efficiency and optimal solution, and the updated conflict priority approach tends to coordinate the taxiing aircraft to the route plan with lower additional taxi time and achieves a more balanced utilization of taxiway network. The study provides a promising approach to generate real-time conflict-free trajectories for airport operation in future surface trajectory-based operations (TBO) scenarios.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102753"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel slot optimization model for congested airports integrating IATA priority and operational priority","authors":"Weili Zeng , Changxing Xu , Xiang Shu , Xinyuan Chen , Wenbin Wei","doi":"10.1016/j.jairtraman.2025.102751","DOIUrl":"10.1016/j.jairtraman.2025.102751","url":null,"abstract":"<div><div>The Worldwide Slot Guidelines (WSG) are currently widely adopted for airport slot demand management. In some busy airports, coordinators are responsible for allocating slots according to the priority order outlined by the WSG. Particularly, historical slots with the highest priority should be directly allocated to the airline carrier holding that slot in the following same season. However, when airport capacity decreases, there may be situations where historical priority slots cannot be met, rendering the existing allocation guidelines ineffective. Currently, no research considers this situation. To complement the existing coordination priority, this paper first defines a new priority category from an operational perspective, referred to as operational priority. Furthermore, a weighted dual-objective slot optimization model is constructed, integrating both coordination priority and operational priority within the same optimization model framework. A constraint-based hierarchical search strategy is adopted to find the optimal results for different priority slots. Applying the model to Shanghai Pudong International Airport (ZSPD) in China, experimental results show that the proposed model can effectively meet the requests of airlines, with a slot adjustment amount of only 3.15% and a maximum displacement of fewer than 40 min. Since the proposed model considers operational priority, the optimized results regarding temporal and spatial distribution are more reasonable, effectively reducing flight delays and improving operational efficiency.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102751"},"PeriodicalIF":3.9,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new tool for robust aircraft routing: Superior Robust Aircraft Routing (sup-RAR)","authors":"Aykan Akıncılar , Ertan Güner","doi":"10.1016/j.jairtraman.2025.102744","DOIUrl":"10.1016/j.jairtraman.2025.102744","url":null,"abstract":"<div><div>Coping with uncertainty is one of the major challenges in airline operations planning. Due to its disruptive effect, researchers elaborate to build robust plans. However, it is still not clear “How to indicate a plan robust?” and “How to measure the robustness of a plan?” In order to fill these crucial gaps for robust aircraft routing sub-problem, a novel tool, which is named <strong>sup-robust aircraft routing (sup-RAR)</strong>, is introduced in this study. Contribution of this new methodology is 4-dimensional: <em>i</em>. Producing tractable aircraft routing plans that are completely invulnerable to pre-defined uncertainties (absolutely robust AR plans); <em>ii</em>. Reflecting uncertainty in delay via 3 novel point of views; <em>iii</em>. The very first attempt in the robust airline operations planning literature to develop an evaluation framework capable of assessing even absolutely robust plans, which brings with more reliable AR plans; <em>iv</em>. Leading more flexible and cost-efficient decisions by enabling renting option contrary to classical robust aircraft routing models. Following the introduction, necessity for such a tool is emphasized by indicating incapabilities of previous works. Then, the proposed sup-RAR methodology is introduced. To test validity and applicability of the sup-RAR methodology, a case study comprising of real dataset is conducted. In light of the results, astonishing insights are obtained.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102744"},"PeriodicalIF":3.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A combined approach using structural equation modeling and analytic hierarchy process in hub airports selection","authors":"Gabriel Bordeaux , António Couto , Edgar Jimenez","doi":"10.1016/j.jairtraman.2025.102752","DOIUrl":"10.1016/j.jairtraman.2025.102752","url":null,"abstract":"<div><div>This study presents a method to assist airlines in selecting a hub airport using Structural Equation Modeling (SEM) combined with Analytic Hierarchy Process (AHP). This approach aims to determine the most essential elements in this selection process using observed variables collected from 300 major airports worldwide. Research on key aspects for hub airport selection is still scarce in the literature. Furthermore, most studies rely on multicriteria analyses with weights obtained through expert interviews, potentially introducing subjectivity. Therefore, this paper presents a unique approach: criteria and sub-criteria values in the AHP are determined by the results achieved in the SEM, providing a reliable scale of priorities among variables in the process of choosing a hub. The SEM tested two hypotheses that were supported by comparing two latent variables related to airport and region characteristics with another latent variable referring to aspects present in the activity of the dominant airline within each facility. Subsequently, an AHP was implemented, with criteria and sub-criteria weights based on the standardized loading factors and regression coefficients from the SEM, using sets of airports for each established world region in the study. Results indicated that airport characteristics, particularly those related to the passenger terminals, have a greater influence on the main carrier activity than region characteristics. A regional analysis revealed that in the Americas, Europe, the Middle East, and Africa, this predominance is even more pronounced, whereas in Asia-Pacific region, there is a contrary trend in which the socioeconomic factors of the city appear to be more important than airport infrastructure. The weights assigned in the AHP, based on SEM values, confirmed cohesion between the two stages of the proposed model.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102752"},"PeriodicalIF":3.9,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexis Brun , Eric Feron , Sameer Alam , Daniel Delahaye
{"title":"Schedule optimization and staff allocation for airport security checkpoints using guided simulated annealing and integer linear programming","authors":"Alexis Brun , Eric Feron , Sameer Alam , Daniel Delahaye","doi":"10.1016/j.jairtraman.2025.102746","DOIUrl":"10.1016/j.jairtraman.2025.102746","url":null,"abstract":"<div><div>Security checkpoints are an important matter of concern for airport operators. When functioning effectively, they not only maintain the airport overall safety at a high level, but also provide passengers with a positive airport experience. The perceived quality of service at the airport greatly depends on the time spent by passengers at the security lines. To ensure optimal safety performance, screening lines have a limited capacity of passengers they can handle. Thus, to prevent extended waiting times for passengers, airports can only adjust the number of simultaneously open check lines. The airport operator must establish optimal schedules for opening security checkpoints and allocating necessary staff. Building upon a prior study focused on predicting the flow of passengers through the security checkpoints, this paper explores simulated annealing algorithm in conjunction with a queue simulator and an integer programming algorithm to establish the most effective opening schedule for security checkpoints based on the prediction given by this previous study. The presented approach also determines the best allocation for dedicated staff based on the forecasted passenger flow. This approach limits the number of open security lines and ensures a waiting time below the maximum limit of 45 min set by the airport. It also complies with the work regulations that security agents are subject to.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102746"},"PeriodicalIF":3.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact analysis of Russian-Ukrainian war on airspace","authors":"Ivan Ostroumov , Viktoriia Ivannikova , Nataliia Kuzmenko , Maksym Zaliskyi","doi":"10.1016/j.jairtraman.2025.102742","DOIUrl":"10.1016/j.jairtraman.2025.102742","url":null,"abstract":"<div><div>The operation of global air transportation system is based on the safety and efficiency of provided services. Limiting airspace by closing some volumes requires reconfiguration of airplane trajectories. Russian-Ukrainian war led to the closure of the Ukrainian airspace for any civilian use since February 24, 2022. Airspaces of the Russian Federation and Belarus are limited in use due to sanctions and the high risk of military actions. In addition, ongoing military conflicts in the Middle East region hold airspaces of Afghanistan, Iran, Iraq, Syria, and Yemen at high risk for civil aviation. Airspace users have to avoid entering closed airspace, which results in increased trajectory length, total flight time, aircraft costs, and ticket prices for passengers. In our study, we analyzed the configuration of the closed airspace and its impact on the global air transportation system. A global air transportation graph is used to estimate additional trajectory length and horizontal flight efficiency for a particular departure airport. The impact of closed airspace configuration is estimated based on cumulated functions of the affected area by particular levels of additional trajectory length and horizontal flight efficiency index. Affected areas are estimated for Schiphol (EHAM) and O'Hare (KORD) international airports. Statistical analysis of trajectory data of particular flights indicates a significant increase in additional trajectory length and total flight time. The proposed model has been verified by comparison with the results of trajectory data analysis of 20 unique flight connections.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102742"},"PeriodicalIF":3.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flying safe: The impact of corporate governance on aviation safety","authors":"Hamed Khadivar , Pedram Fardnia , Thomas Walker","doi":"10.1016/j.jairtraman.2025.102743","DOIUrl":"10.1016/j.jairtraman.2025.102743","url":null,"abstract":"<div><div>This study examines the impact of various measures of corporate governance on airline safety, addressing a significant gap in the literature that explores safety performance within the aviation industry. Using data from seventy countries spanning the period from 1990 to 2016, we investigate the relationship between corporate governance quality indicators and airline accident rates while controlling for airlines’ financial health. Our findings suggest that airlines with less qualified and busier directors, as well as those experiencing higher degrees of director succession, are more prone to accidents. Conversely, longer CEO tenure is associated with a lower accident rate. Furthermore, our findings highlight the importance of a well-developed regulatory environment and transportation infrastructure: airlines based in countries with more stringent legal regulations, robust law enforcement, and superior air transport infrastructure exhibit better safety performance. Our research underscores the critical role of corporate governance in ensuring airline safety and emphasizes the significance of regulatory frameworks and infrastructure investments in shaping safety outcomes in the aviation industry. These results carry significant policy implications for aviation safety regulators responsible for developing, overseeing, and implementing policies aimed at improving aviation safety.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102743"},"PeriodicalIF":3.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sebastian Wandelt , Andrea Signori , Shuming Chang , Shuang Wang , Zhuoming Du , Xiaoqian Sun
{"title":"Unleashing the potential of operations research in air transport: A review of applications, methods, and challenges","authors":"Sebastian Wandelt , Andrea Signori , Shuming Chang , Shuang Wang , Zhuoming Du , Xiaoqian Sun","doi":"10.1016/j.jairtraman.2025.102747","DOIUrl":"10.1016/j.jairtraman.2025.102747","url":null,"abstract":"<div><div>Operations research (OR) has been applied in air transportation since the post-war period, starting from relatively simple static models and classical linear optimization techniques. Recent advancements in operations research, computational intelligence, and data management have significantly transformed the landscape of OR applications, addressing the growing complexity and demands of the modern aviation industry. This study explores the latest developments of OR applications within air transportation, focusing on key areas such as airline management, airport management, and air traffic management. We delve into the integration of big data, artificial intelligence and sustainability aspects, which has enabled unprecedented precision in, e.g., flight scheduling, air traffic control, and predictive maintenance. The adoption of modern heuristics based on machine learning algorithms and advanced solution techniques has facilitated to solve an increasingly larger and more complex set of mathematical models for improved resource allocation. This paper also highlights the shift towards holistic and integrated OR models that encompass the entire air transportation ecosystem, from airline operations to airport management. By analyzing these recent developments, we underscore the critical role of OR in driving efficiency, safety, and sustainability in air transportation, offering insights into future trends and potential research directions in this rapidly evolving field.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"124 ","pages":"Article 102747"},"PeriodicalIF":3.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169436","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}