Air Transport Research Articles

Micro-Scale Ice Shoveling Effect Induced by Magnetic-Responsive Microfins.

Icing is ubiquitous in nature and engineering applications, and imposes threats to road and air transportations, wind energy infrastructures, etc. However, current active de-icing solutions, especially the most popular one, i.e., heating, suffer from high energy consumption whilst passive methods are often ineffective at high-speed, long-term, or large-particle conditions. Herein, a promising strategy adopting magnetic-responsive microfins (MRS)featuring reversible deformations is developed for de-icing. A novel micro-scale ice shoveling effect induced by the localized destruction of the ice adhesion interface owing to the inhomogeneous deformation is demonstrated, and its dependence on the ice particle size and temperature is investigated. An analytical model is proposed to describe the mechanism of this effect, showing a linear relation between the position of the magnet and the induced force agreeing well with experiments, leading to a system straightforward to predict and control. Specifically, the de-icing capacity of the surface becomes prominent when small-scale ice particles merge to large ones, providing a promising solution for applications on aircraft, wind turbines, etc., as the first of its kind to remove large particles under high-speed conditions effectively.

Estimation of the world market and application of nanomaterials in the aerospace industry

The object of the study is the global aerospace market status, segment analysis, dynamics, competition, and prospects. The methods of searching and analyzing literature data, summarizing, systematizing, and visualizing data with diagrams are used. The aerospace industry is at the forefront of technological innovation and is constantly searching for new advanced materials to improve productivity, efficiency, and safety. The aerospace market encompassing the design, manufacture, and maintenance of aircrafts, space vehicles, and related systems. It includes the commercial and military sectors, as well as the space exploration field. The world market of the aerospace industry was studied. Factors affecting the market positively and negatively were identified. According to the global aerospace market segmentation by vehicle types, the leading position in 2023 was occupied by the commercial aircrafts segment with a share of 63.4 %; by the vehicle size – by the narrow-body aircraft segment (72.4 %); by the end consumer – by the private sector segment (65.4 %); by operation – by manually operated aircrafts segment (79.4 %); and by geographic regions – by the North American segment (47.3 %). The main strategic trends and directions of the further aerospace market development are presented. The world market of aerospace materials was studied. Factors affecting market dynamics are identified, and market challenges are highlighted. According to the world aerospace market segmentation by the materials types, the leading place in 2022 belonged to the composite materials segment with a share of 69 %; by the aircraft type – to the commercial aircrafts segment (51 %); and by geographical regions – to the European segment (35.0 %). The trends of the sustainable aerospace industry development are summarized: modern aircraft design, use of sustainable aviation fuel, urban air mobility, modern traffic technology, and air transportation management optimization. For each trend, possible actions leading to changes in the aerospace industry are considered. The question of the nanomaterials use in the space industry is considered. Some characteristics and possibilities of application of nanocomposite materials, nanocoatings, nanofluids, nanosensors, and carbon nanotubes, as well as examples of the nanomaterials application in aircraft components are given. The industry problems are identified, and their possible solutions are given.

Modeling Civil Aviation Emissions with Actual Flight Trajectories and Enhanced Aircraft Performance Model

Aviation emissions are continuously increasing along with the rapid development of air transportation, and results in the deterioration in regional air quality and the global climate. Accurate emission estimation is of great importance for relevant policies promotion and the sustainable development of the environment. Previous studies focused on the total emissions of a flight and lacked high precision in both spatial and temporal resolutions, especially aviation activities near ground. In this research, we propose an open-sourced emission calculation framework based on actual flight trajectories (TrajEmission), which calculates both the ground and airborne emissions simultaneously according to the configuration parameters, trajectory characteristics, and ambient conditions. We compare the emission results with five emission inventory methods. The results indicate that pollutant (nitrogen oxides, carbon monoxide, and unburned hydrocarbons) emissions in the landing and takeoff (LTO) cycle might usually be underestimated due to a lack of trajectory-based methods. In addition, in the overall results, the method based on the great circle route leads to an overestimation of 56.8% of pollutant emissions compared to the method based on actual routes. We also investigate the extent to which other factors could influence the emission results. To summarize, the TrajEmission framework can build inventories for the whole process of flight movements with high spatial–temporal resolutions and provide solid data support for environmental science and other related fields.

Comparative Analysis of Gini Coefficient, GDP, Energy Consumption, and Transportation Modes on CO2 Using NARDL (Nonlinear Distributed Lag Autoregressive Model) for the USA

The significance of the transportation sector, notably in terms of the carbon emission factor, is an undeniable fact. Along with this fact, individuals’ transportation preferences depend on their income levels. In this context, when the issue is considered, the income level in the USA pushes people toward cheap air travel. The main reason for this is that it is cheap, accessible, and transports one to their destinations quickly. Thus, from the perspective of road transportation, bus transportation is popular among the public. The reason why both air and road transportation modes are empirically evaluated together through income distribution is due to the preference of the US people. In this context, the effectiveness of active transportation on both air and highways in the USA from 1975 to 2023 is investigated by taking into consideration the income distribution. Empirical findings obtained through the FMOLS, DOLS, CCR, and NARDL models demonstrate that all independent variables, including GDP, energy use, air transportation, and the Gini coefficient, affect carbon dioxide emissions. In addition, wavelet analysis is performed to comprehend the form of and fluctuations in the series, which are vital to monitoring the periodical changes.

A Security Framework for Railway Platform Development

The different modes of transport are air, water, and land transport, in which land transport includes rail transport, road transport and off-road transport. Most commonly using transport system are Roadways, Railways and Airways. In these frequently we use the railways, because it is cheaper and it is more convenient than other transport systems. The third largest railway network in the world is Indian railway network. But the accident’s occurs in the railways is higher. Mostly the accidents in the railway station occur between the railway platform and to the train, because of the platform gap. The platform gap is the gap exists between the train and to the platform. To avoid these accidents that the Indian government come with an indicative to increase the height of the platform. But it is not easy job to increase the height. At the time of working we cannot access the platforms. By applying my project it is easy to avoid the accidents as well as we can use the platform too. A human fall down in the gap exist between the platform and to the train can be totally avoided by introducing Mechanical platform edge extensions known as platform gap fillers which is used to bridge the gap between platform and to the train. This is more useful in the case of safeguard the human life and also it is cheaper than the cost which is involved for increase the height of the platform. In this regard the safety barrier setup present at the bottom of the platform will be automatically uplifted with the help of sensor, so the platform gap is closed with the safety barrier. And then it will retract again into the bottom at the platform after leaving the station. By this project the platform gap accidents can be avoided.

Spatial Analysis of Middle-Mile Transport for Advanced Air Mobility: A Case Study of Rural North Dakota

Integrating advanced air mobility (AAM) into the logistics of high-value electronic commodities can enhance efficiency and promote sustainability. The objective of this study is to optimize the logistics network for high-value electronics by integrating AAM solutions, specifically using heavy-lift cargo drones for middle-mile transport and using the mostly rural and small urban U.S. state of North Dakota as a case study. The analysis utilized geographic information system (GIS) and spatial optimization models to strategically assign underutilized airports as multimodal freight hubs to facilitate the shift from long-haul trucks to middle-mile air transport. Key findings demonstrate that electronics, because of their high value-to-weight ratio, are ideally suited for air transport. Comparative analysis shows that transport by drones can reduce the average cost per ton by up to 60% compared to traditional trucking. Optimization results indicate that a small number of strategically placed logistical hubs can reduce average travel distances by more than 13% for last-mile deliveries. Cost analyses demonstrate the viability of drones for middle-mile transport, especially on lower-volume rural routes, highlighting their efficiency and flexibility. The study emphasizes the importance of utilizing existing infrastructure to optimize the logistics network. By replacing truck traffic with drones, AAM can mitigate road congestion, reduce emissions, and extend infrastructure lifespan. These insights have critical implications for supply chain managers, shippers, urban planners, and policymakers, providing a decision support system and a roadmap for integrating AAM into logistics strategies.

Research on the Carbon Emission Prediction and Reduction Strategies for the Civil Aviation Industry in China: A System Dynamics Approach

With the continuous growth in the volume of global air transportation, the carbon emissions of the civil aviation industry have received increasing attention. Carbon emission reduction in civil aviation is an inevitable requirement for achieving sustainable social development. This article aims to use system dynamics (SD) methods to establish a carbon emission model for the civil aviation industry that includes economic, demographic, technological, policy, and behavioral factors; analyze the key factors that affect carbon emissions; and explore effective emission reduction strategies. Researchers have found that SD-based carbon emission prediction has a high accuracy and is suitable for predicting carbon emissions in civil aviation. Through different scenario simulations, it has been found that any single emission reduction measure will struggle to effectively contribute to the expected carbon reductions in China’s civil aviation. Simultaneously adopting measures such as improving fuel efficiency, adopting clean energy, and using new-power aircraft is an effective way to reduce carbon emissions from civil aviation. In addition, policy intervention and technological innovation are equally crucial for achieving long-term emission reduction goals. The research results not only provide a scientific basis for the sustainable development of the aviation industry but also provide a reference for policymakers to formulate comprehensive emission reduction strategies.

The carbon footprint of vegetable imports into Aruba: A closer look at sea and air transport

This study aimed to give insights into low-carbon vegetable import strategies for Aruba, a Dutch Caribbean island. Our selected products were potatoes, lettuce, onions, tomatoes, and green beans. The products originated from 13 different countries, and 25 product-country combinations were identified. The system boundaries were from the farm until arrival at the supermarket. We identified actual maritime transport routes, and calculated greenhouse gas (GHG) emissions of passenger aircrafts flying from Amsterdam to Aruba. Vegetables imported by air had significantly higher GHG emissions (4.2–8.3 kg CO2eq per kg) than products imported by sea (0.4–2.3 kg CO2eq per kg). GHG emissions of road transport generally contributed more than those of other life cycle stages, except when products showed a high contribution of agriculture. Although sea transport was calculated with much detail, it usually did not contribute much to the GHG emissions. We recommend Life Cycle Practitioners to consider aircraft characteristics when calculating GHG emissions of air transport, and to include the weight of the 80 kg AKE container, used for cooled airfreight, when allocating impacts between passengers and freight. For this case study, GHG emissions of specific passenger aircrafts always resulted in lower GHG emissions compared to generic calculations.

Passenger Mobility Impact on Customer Satisfaction and Environmental Degradation Through Air Transportation Crowdshipping

Authors: This study investigates the impact and implications of passenger mobility through crowdshipping on customer satisfaction and environmental degradation. A questionnaire was used to collect data from customers who have been aeroplane passengers at Hang Nadim Airport in Batam, Indonesia. SmartPLS software was used to evaluate the quality of the questionnaire data and test the research hypotheses. The SmartPLS path model analysis results show that passenger mobility affects Crowdshipping, customer satisfaction, and environmental degradation; Crowdshipping affects passenger mobility and environmental degradation, and customer satisfaction affects environmental degradation. The findings of this study help understand and quantify potential strategies for logistics delivery by utilizing aeroplane passenger crowd shipping. Consequently, it can help policymakers and air transport companies develop air transport-based crowd shipping models to estimate the possible impacts from an economic and environmental point of view as well as environmental utilization.

The Role of Organizational Trust in Shaping Commitment and Reducing Turnover Intention in Aviation

In the contemporary business landscape, advancements in artificial intelligence and robotics are rapidly transforming industries, including air transportation. Although the demand for human resources may diminish with technological progress, the necessity for skilled personnel remains critical. The air transportation sector, in particular, relies heavily on qualified professionals, whose contribution to sustainable business practices is substantial. However, despite their importance, these trained professionals may occasionally exhibit a turnover intention their positions. Such turnover in an industry where technology plays a pivotal role represents a significant loss for organizations. Mitigating turnover intentions may depend on the application of effective organizational behavior models, one of which is fostering an environment of trust within the organization. Increased trust in the organization can enhance employees’ commitment and job satisfaction, thereby reducing their turnover intention. The primary aim of this study is to identify the factors influencing turnover intention, with a specific focus on whether organizational trust affects this intention. Furthermore, the study seeks to determine whether organizational commitment mediates the relationship between organizational trust and turnover intention. To explore these dynamics, a survey was conducted with 404 ground and flight personnel employed in both public and private aviation sectors in Türkiye. The research findings show that trust has important implications in an organizational setting. As a result of the analysis conducted within the scope of the research, it was determined that organizational trust has no effect on turnover intention. The reason for the different result from the literature may be the sensitivity of the aviation industry and the high staff turnover rate. Due to these characteristics of the sector, employees of the aviation industry may show turnover intention even if they trust their organizations.

The Relationship Between Physical And Mental Workload On Job Fatigue In Maxim Car Drivers In Kupang City In 2024

Transportation is a system consisting of certain facilities along with the flow and control system that allows people or goods to move from one place to another efficiently at any time to support human activities. Indonesia as a developing country certainly has a very rapid development of services in the fields of land, sea and air transportation. Transportation owned by the Indonesian Nation certainly has innovations from past to present in order to advance transportation services, one of which is an online provider company. Online transportation companies offer transportation services such as online motorcycle taxis, online taxis, delivery of goods, food delivery and so on, thus making this service in demand by many people. Likewise in Kupang City where there are several online transportation options, one of which is Maxim car transportation which has the advantage of being quite cheap. The high demand for Maxim online transportation in Kupang City has an impact on the fatigue experienced by online transportation drivers. One of them is also felt by Maxim Mobil drivers. Based on the researcher's initial survey of Maxim drivers in Kupang city, fatigue often occurs in Maxim Car drivers due to the increase in Maxim Car users in Kupang City. This type of research is quantitative using analytic survey method and cros sectional research design. The sample in this study amounted to 81 respondents from a total population of 430 drivers selected using accidental sampling method. The results showed that there was no significant relationship between physical load and work fatigue and there was a significant relationship between mental load and fatigue in maxim car drivers in Kupang City.

International legal mechanisms for ensuring the responsibility of the air carrier before the passenger

Liability to passengers and cargo owners for damage caused during international air transportation is primarily borne by the carrier. From the content of the Warsaw and Montreal Conventions, it follows that the carrier can be any natural or legal person who has concluded a contract of carriage with the passenger or the consignor of the cargo and carries out this carriage on a remuneration basis. Reasons are required for the carrier to be liable as a party performing the contract. The plaintiff, who demands compensation, must prove the fact of breach of obligation by his counterparty, the presence and amount of damage, as well as the cause-and- effect relationship between the offense and the damage. However, the defendant (carrier) has the right to prove the absence of his fault and refer to the limitation of his liability. The Warsaw (1929) and Montreal (2009) conventions contain relatively detailed and fairly clear instructions on the carrier’s liability, establishing the grounds for exemption from it and, in most cases, limiting its size by the so-called relaxations in the air carrier’s liability regime. Like the norms of the internal transport legislation of the states, the norms of the conventions are of an imperative nature, with equal protection of the interests of consumers of services provided by transport organizations, and even the complexity of transport operation technologies, the mass of operations and the risks associated with the use of vehicles. This article examines the question of the extent to which international conventions and rules determining the liability of air carrier passengers have been successfully harmonized at the international level and eliminated the conflict of law problem, as well as the degree of development and effectiveness of these international conventions and rules, norms for ensuring the liability of air carriers to air passengers. Summarizing, the author notes that the Montreal Convention improves the situation of passengers and cargo owners, eliminates complications with lengthy court processes, to the advantage of the Warsaw Convention, which is somewhat outdated and does not correspond to today’s realities. The new convention strengthens competition in the air transport market, increases the responsibility of airlines to passengers and removes restrictions on compensation for loss of baggage or damage to the life and health of passengers, significantly simplifying the mechanism of obtaining it.

The study on the Internet of Things implication in improving the punctuality of air transportation in bad weather

Air travel is a popular choice for people who seek to travel outside in the present. It greatly promotes communication and economic development. However, flight delays can have seriously disappointing effects on various aspects. For passengers, they not only need a long time to wait and additional expenses, but they also experience more psychological stress. And airlines face economic losses, reduced customer satisfaction, and disruptions in flight scheduling, which further affect operational efficiency. Therefore, this paper aims to explore potential methods that are combined with the Internet of Things to improve the punctuality of air transportation in order to ease the hard situation of flight delays caused by bad weather. And based on the previous related papers, the author of this paper thinks a kind of meteorological monitoring and early warning system can be built based on the Internet of Things to improve real-time weather monitoring and flight scheduling, as well as ground service optimization. Hence, people can improve the punctuality of air transportation by optimizing resource utilization and cost management so that the whole industry can bring significant economic benefits to airline companies and improved travel experiences to passengers.

The value of statistical life in air and road transport

Purpose Accidents occur in all transport modes and can cause significant material damage and loss of life. To efficiently allocate resources that enable the reduction of accidents, it is necessary to estimate the value of a statistical life (VSL). This study aims to show how the statistical value of human life in air and road traffic is determined. Design/methodology/approach This study examines and applies recent empirical evidence aimed at clarifying the basic concept of the VSL and defining the reasons for its importance in evaluating public policies in aviation safety and road traffic safety. The research focuses on the principal equity indicators, both theoretical and empirical, that must be confronted to provide a credible estimate of the VSL. Findings Previous research shows that the VSL could have a considerable range of possible values. This study emphasizes that risk reduction funds need to be distributed in a consistent and equitable manner to achieve the best outcomes for society as a whole. Practical implications This research will guide future research efforts towards understanding the impact of the estimated statistical life value on air and road safety implications. Social implications This study strengthens awareness of the importance of the VSL in evaluating public policies in the field of aviation and road safety. Originality/value To the best of the authors’ knowledge, this study is one of the first to compare air and road traffic from the perspective of the VSL evaluation.

An Examination of the Sustainability Activities of Global Airline Collaborations within the Scope of IATA's Sustainability Goals

This study aims to evaluate the sustainability activities of the global airline alliances Star Alliance, SkyTeam, and OneWorld within the framework of the International Air Transport Association's (IATA) sustainability goals. Specifically, it focuses on key areas such as achieving net-zero carbon emissions by 2050, promoting new aircraft technologies, enabling greener travel (in terms of noise and air quality), enhancing energy, resource, and operational efficiency, managing cabin waste and recycling, adopting sustainable aviation fuels (SAF), and protecting biodiversity. Using a content analysis methodology, data were gathered from publicly available sources, including airline sustainability reports, annual reports, and information from the IATA website. This systematic analysis provides an objective evaluation of how well these airline alliances are aligning their strategies with IATA’s sustainability goals. The findings reveal significant disparities in the alliances’ commitments. For instance, Star Alliance and OneWorld members exhibit deficiencies in biodiversity conservation, while SkyTeam members show slower progress towards achieving the net-zero carbon emissions target. Additionally, all three alliances demonstrate varying degrees of success in adopting SAF and implementing other sustainable practices, such as waste management and the promotion of new aircraft technologies. By identifying the strengths and weaknesses across the alliances, this research offers critical insights into how the aviation sector can more effectively contribute to global sustainability efforts.

A Review of Aircraft Engine Fault Prediction and Performance Optimization Based on Deep Learning

This paper is aimed at presenting a systematic review of the recent studies on the use of deep learning techniques in aircraft engine health management for fault detection and performance enhancement. This comes in the light of increased growth in the air transport industry, the efficiency of aircraft engines and the efficiency of their maintenance have emerged as key issues in the safety and efficiency of air transport. This paper also identifies some of the key issues emerging from this area such as the data issues and the need to develop very accurate models for faulting and performance enhancement. Some of the most advanced techniques, namely the Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs) are discussed as potential solutions to these challenges. The theoretical descriptions of the working principles, as well as the strengths and weaknesses of the methods in question with regard to the problems of aircraft engine health management, are elaborated. Furthermore, this paper introduces the application of Reinforcement Learning as a new technique in the area of optimal control of engine parameters with the hope of improving the dependability and maintainability of aircraft engines and in the process of achieving sustainable growth in the aviation industry. The issues on model interpretability, model generalization and model deployment are also discussed and research guidelines for the future work in this field are also outlined. In this paper, the state of the art and the importance of deep learning as well as the applications of deep learning in aircraft engine health management are discussed based on the literature and case studies.

Feasibility Assessment of Rapid Response EEG in the Identification of Nonconvulsive Seizures During Military Medical Air Transport.

Traumatic brain injury often requires neurologic care and specialized equipment, not often found downrange. Nonconvulsive seizures (NCSs) and nonconvulsive status epilepticus (NCSE) occur in up to 30% of patients with moderate or severe traumatic brain injury and is associated with a 39% morbidity and an 18% mortality. It remains difficult to identify at bedside because of the heterogeneous clinical manifestations. The primary diagnostic tool is an electroencephalogram (EEG) which is large, requires an external power source, and requires a specialized technician and neurologist to collect and interpret the data. Rapid response EEG (rr-EEG) is an FDA-approved device that is pocket sized and battery powered and uses a disposable 10-electrode headset. Prior studies have demonstrated the noninferiority of rr-EEG in the identification of NCSE and NCS as compared to conventional EEG in hospitals. An unanswered question is whether rr-EEG could be used in the identification of NCSE and NCS by medics. In conjunction with the Critical Care Air Transport (CCAT) team, a simulation was created and implemented on a CCAT training mission. The simulation team included a neurology resident, who oversaw the simulation, a pulmonary critical care fellow, an intensive care unit nurse, and a respiratory therapy. A survey was provided before and after the simulation. The team was expected to review the rr-EEG to make clinical decisions during ground transport, takeoff, and landing. The neurology resident monitored and recorded the team's ability to distinguish between NCS and a normal EEG. In between, the neurology resident monitored the quality of the EEG for potential interference and loss of quality. The CCAT team was able to efficiently set up the rr-EEG on a patient manikin, correctly identify visual EEG wave forms of a patient in NCS, and utilize the proprietary audio program of a simulated patient in NCS. The team reported that the device was easily set up in the environment, and the data were interpretable despite vibration, aircraft auditory and electrical noise, and the ergonomics of the aircraft medical section. This pilot study has validated a potentially revolutionary technology in medical transport. The rr-EEG technology is measurably user-friendly and will improve patient outcomes. This device and simulation can reduce time to an EEG by hours to days allowing for immediate treatment and intervention, which can significantly reduce morbidity and mortality.

Reflection of Crew Resource Management (CRM) Trainings to Real-Life Field Practice in Air Passenger Transportation: A Qualitative Research

In the air transportation sector, flight safety stands as one of the foremost values. To ensure safety, airlines rely on Crew Resource Management (CRM) training. These training programs aim to foster coordination, communication, and awareness among all personnel involved in flight operations, encouraging rational responses to potential issues as a unified team. Naturally, as is the case with any training process, the practical applicability of CRM training alongside its theoretical structure is of paramount importance. Hence, this study, conducted within the framework of qualitative research, delves into the perspectives of cabin crew members regarding CRM training by evaluating its content, benefits, and real-life field applications. Employing interview-based methodology, qualitative data were gathered from 19 cabin crew participants through purposive sampling. The collected data underwent descriptive analysis, leading to certain conclusions. The findings illustrate that CRM training has a positive impact on emotional and knowledge management, communication skills, team collaboration, and a proactive approach in matters of safety. It underscores that CRM training significantly permeates into the realm of real-world applications—namely, flight operations. However, participants highlighted certain issues and emphasized the need for more practical, interactive, and participant-centered training methods for the enhancement of CRM training, aiming to address those concerns.

Helicopter Emergency Medical Services (HEMS) Transportation Utilization for Acute Ischemic Strokes at a Community-Based Hospital in South Florida

Background: A comprehensive stroke center (CSC) servicing remote areas in South Florida became HEMS direct-from-field capable on October 15, 2020. This analysis reviews the utilization of this service and compares it to ground EMS (GEMS). Methods: This is a retrospective cohort study from October 15, 2020, to July 31, 2021, that collected HEMS adult stroke alert data and compared it to the prior year's summary GEMS stroke alert data. Using HEMS transportation logs, presenting stroke symptoms and prehospital assessment were abstracted, in addition to initial NIHSS, downgrade rate, stroke diagnosis percentage, treatment rate, and times. Results: The analysis included a total of 52 direct transport HEMS stroke alerts. Assessment tools utilized by HEMS included the Cincinnati stroke scale (4%) and the FAST-ED (37%); most cases (59%) did not document a stroke assessment tool. The median NIHSS was 10, with 37% presenting a score <6. Cases were downgraded upon arrival in 27% and after CT imaging in 15% of cases. Significantly (p<.001), more HEMS cases were diagnosed as stroke (69%) compared to GEMS (57%). Stroke treatment rates remained similar (HEMS=23%; GEMS=24%). Median door-to-needle times were significantly faster for HEMS (15 min) than GEMS (25 min) (p<.05). Median door-to-puncture times were clinically faster for HEMS (61mins) than GEMS (66 mins). Conclusion: Prehospital triage could be improved to better detect the 77% of patients who are not eligible for acute stroke reperfusion treatments and may benefit from ground as opposed to air transportation. The current HEMS triage, although not consistently documented, appropriately selects stroke victims, but not necessarily those who need air transport to a higher care level. Patients arriving via HEMS receive similar access to stroke treatment and, if treated, significantly faster treatment times.

Features and prospects of the Russian civil aircraft industry development under sanctions pressure from Western countries

The specifics and prospects of development of the Russian civil aircraft industry under sanctions pressure from Western countries have been considered. The study analyzes secondary data from open sources. The main provisions and conclusions of the work are as follows. The United States of America and its European satellites have imposed comprehensive sanctions against Russian air carriers, including a ban on aircraft deliveries. Lessors who owned foreign airplanes made demands for their return, and foreign registrars suspended airworthiness certificates for domestic airplanes. Western sanctions against Russian airlines have caused significant damage to Russia, but have also become a serious stimulus for the domestic aviation industry development. Significant time and investment will be required to resolve the problems encountered. Russia has the necessary potential to restore the aviation industry and ensure safe passenger and cargo transportation in the required volume. The country is currently working systematically to revitalize the industry, implementing advanced developments and establishing serial production of a wide range of civil aircraft. The success of the domestic aviation industry development depends mainly on the state’s efforts, as it has the access to almost all production and design capacities. In addition, effective measures are needed to influence the air transportation industry in order to balance the supply and demand for aircraft.