Domestic Flights Research Articles

A detailed emission analysis between regional jet and narrow-body passenger aircraft

In this study, a comparison in terms of environmental impact is carried out between regional jet and narrow-body passenger aircraft with different Maximum Take-Off Weights (MTOW) and seating capacities considering the fuel burn and emissions. The flight trajectory is selected from Erzincan Yıldırım Akbulut Airport to Ankara Esenboğa Airport and that trajectory is a frequently performed domestic flight between Erzincan and Ankara. Integrated Aircraft Noise and Emissions Modelling Platform (IMPACT) developed by EUROCONTROL is used for the calculation of fuel burn, CO2, H2O, and other gas emissions (NOx, SOx, CO, HC, soot, and other trace compounds) for the per phase of flight. These emissions have an impact on human health, air quality, and the ecosystem, and cause air pollution, climate change, and global warming worldwide. Commercial air-transport-based simulations are created for regional jet and narrow-body passenger aircraft. According to the results, flying with regional jets which have lower MTOW from/to airports such as Erzincan Yıldırım Akbulut Airport, where the passenger density per aircraft is low, provides advantages in terms of fuel burn and emissions. It is expected that this study will serve as a guide for airline operators for fleet selection based on fuel burn and emission parameters.

Assessing the impacts of northeast alliance between American airlines and JetBlue airways

This paper investigates the impacts of Northeast Alliance (NEA) between American Airlines and JetBlue Airways on market concentration and airfares on routes to and from the four pertinent airports in Boston and New York regions. Using panel data covering quarterly domestic flight schedules and airfares for 11 U.S. airlines during the 2019–2021 period, we apply difference-in-difference method and find evidence for positive and significant NEA effect on market concentration on routes out of BOS, and negative and significant effect on routes out of EWR, but no significant effect for routes out of JFK and LGA. The overall NEA effects, including all four airports, are not significant. Furthermore, our airfare estimation results indicate that NEA has led to higher airfares on routes out of BOS, JFK and LGA, but not on routes out of EWR. These findings are valuable to supplement the recent antitrust investigation by the U.S. Department of Justice of this alliance.

Pengaruh Pelayanan Petugas Ruang Tunggu PT Angkasa Pura I Terhadap Kepuasan Pengguna Jasa di Bandar Udara Internasional Yogyakarta

Yogyakarta International Airport (YIA) is an international airport located in Temon district, Kulon Progo Regency, Special Region of Yogyakarta province. As an aviation service provider company, PT Angkasa Pura I needs to pay attention to the facilities and services in the passenger departure lounge. This research aims to discover the effect of the service of waiting room staff and how much influence it has on passenger satisfaction at Yogyakarta International Airport. This research uses quantitative methods. The data was collected through distributing questionnaires to 100 respondents using the waiting room area of domestic flights on November 1 to December 31, 2022. Data analysis was done by using simple linear regression with the service of the waiting room staff as the independent variable and passanger satisfaction as the dependent variable. The results show that the service of waiting room staff has a significant influence on passanger satisfaction, with a significance value of T = 16.293 > 1.661 with a significance value of 0.05. The service of waiting room staff as the independent variable influences passenger satisfaction by 73%. Meanwhile, the other 27% is influenced by other variables outside of this research. It can be concluded that Ho is rejected and Ha is accepted, which means that there is a significant influence of waiting room staff service on passanger satisfaction at Yogyakarta International Airport.

Air Traffic Management Using a GPU-Accelerated Genetic Algorithm

Abstract Air traffic management is becoming highly complex with the rapid increase in the number of commercial and cargo flights, leading to increased traffic congestion and flight delays. To mitigate these issues, we present a flight path generation system that distributes the aeroplanes across the airspace and imparts minimal delays to the flight if required, thus ensuring that the aircraft follows the shortest route wherein it encounters the least amount of traffic. We develop a parallel genetic algorithm in CUDA-C with a novel fitness function allowing the system to reach an optimal solution where the air traffic density is minimised. The proposed algorithm was tested on one day's domestic flight schedule and achieved an 18% reduction in traffic density, with the flight times and delays remaining proportional to the data observed in the existing air traffic management system.

Analisis Pengawasan Inspektur Angkutan Udara Kantor Otoritas Bandar Udara Wilayah I Kelas Utama terhadap Penetapan Harga Tarif Tiket oleh Maskapai Lion Mentari Airlines

In domestic flights, currently many people choose economic services, of course this is a very competitive aviation business arena for users of aviation services in terms of fares, equipment, services, human resources, and flight security and safety. This study aims to determine the setting of tariffs, besides that this research also aims to determine the supervision of tariff implementation. Air Transport Inspector. This research uses a type of qualitative descriptive research method. To get answers from the research, the researcher made a research design in the form of observations, interviews, and documentation. The data obtained is in the form of interview results with the Air Transport Inspector at the Regional 1 Main Airport Authority Office. The results of the study show that the arrangements made by the Ministry of Transportation are the main basis for Aviation Business Entities in setting fares and facilitating supervision for Air Transport Inspectors. Fare inspection supervision is an SOP given by the Ministry of Transportation to Air Transport Inspectors. Not only that, tariff monitoring can occur when there are public reports and national holidays. Existing obstacles such as the occurrence of violations can be handled by a Ministerial Decree in accordance with the rules for enforcing sanctions.
 Keywords: Tariff, Policy, Supervision, Sanctions

Performance of screening of contacts of COVID-19 cases in same flight

Objective: To understand the performance of 2019-nCoV nucleic acid detection in screening of contacts of COVID-19 cases in same flights and provide evidence for the effective screening of persons at high risk for the infection in domestic flights. Methods: The information of passengers who took same domestic flights with COVID-19 cases in China from April 1, 2020 to April 30, 2022 were retrospectively collected,and χ2 test was used to analyze positive nucleic acid detection rates in the passengers in different times before the onsets of the index cases, in different seat rows and in epidemic periods of different 2019-nCoV variants. Results: During the study period, a total of 433 index cases were identified among 23 548 passengers in 370 flights. Subsequently, 72 positive cases of 2019-nCoV nucleic acid were detected in the passengers, in whom 57 were accompanying persons of the index cases. Further analysis of the another 15 passengers who tested positive for the nucleic acid showed that 86.67% of them had onsets or positive detections within 3 days after the diagnosis of the index cases, and the boarding times were all within 4 days before the onsets of the index cases. The positive detection rate in the passengers who seated in first three rows before and after the index cases was 0.15% (95%CI: 0.08%-0.27%), significantly higher than in the passengers in other rows (0.04%, 95%CI: 0.02%-0.10%, P=0.007),and there was no significant difference in the positive detection rate among the passengers in each of the 3 rows before and after the index cases (P=0.577). No significant differences were found in the positive detection rate in the passengers, except the accompanying persons, among the epidemics caused by different 2019-nCoV variants (P=0.565). During the Omicron epidemic period, all the positive detections in the passengers, except the accompanying persons, were within 3 days before the onset of the index cases. Conclusions: The screening test of 2019-nCoV nucleic acid can be conducted in the passengers took the same flights within 4 days before the onsets of the index cases on board. Passengers who seated within 3 rows from the index cases can considered as the close contacts at high risk for 2019-nCoV, for whom screening should be conducted first and special managements are needed. The passengers in other rows can be classified as general risk persons for screening and management.

Centrality anomalies for the domestic air transportation networks in the USA: an empirical benchmark.

Air transportation systems are a foundational infrastructure for the human's society. The lack of systematic and detailed investigation on a large amount of records for air flights has blocked seriously the deep understanding of the systems. By using the American domestic passenger flight records from 1995 to 2020, we constructed the air transportation networks and calculated the betweenness and the eigenvector centralities for the airports. It is found that in terms of eigenvector centrality, 15-30% airports in the unweighted and undirected networks behave anomalous. The anomalies disappear after considering the information of link weights or directionalites. Five widely used models for air transportation networks are evaluated, results for which tell us that the spatial constraints are required to eliminate the anomalies detected by the eigenvector centrality, and provide us some references for selecting the parameters in the models. We hope the empirical benchmarks reported in this paper can stimulate much more works on theoretical models for air transportation systems.

Electric domestic aviation. Is the Danish case feasible?

The aim of this work is to clarify whether electric-powered aviation can comply with requirements from the Danish government for a zero-emission carbon dioxide footprint by 2030 on domestic flight routes. The battery types are presented, in an attempt to determine whether electric air transportation can become commercially viable. The gap in evaluating the feasibility of moving by electric aircraft by 2030 is met through this research, by analysing the feasibility, through current developments, of delivering enough energy in terms of Wh/kg as compared to conventional fuel for a combustion-driven aircraft. The calculations, based on lithium (Li)-ion batteries with an energy density of 260 Wh/kg, showed that the goals will be met only with the development of new battery technology. The results indicate that there will be a reduction in carbon dioxide emissions by approximately 17%. According to aircraft manufacturers, it will be possible to accommodate up to 186 passengers in a fully electric-driven aircraft, which can meet the demand for domestic flights in Denmark. Other types of batteries, such as lithium–sulfur (Li–S) and lithium–oxygen (Li–O2) are relevant to investigate because of their higher energy density and usage of natural minerals other than just lithium.

Efektivitas Penyampaian Informasi Petugas Avsec Mengatasi Konflik Komunikasi dengan Penumpang Mengenai Kapasitas Powerbank Bandar Udara Adi Soemarmo

The delivery of information carried out by aviation security officers to passengers in conveying information in the form of provisions in carrying electronic devices in the form of power banks is a communication that must be carried out firmly but still in a sympathetic manner. In a domestic flight, the carrying of power bank electronic devices is very strictly regulated in a regulation in the form of Circular Letter Number 15 of 2018 concerning the provisions of carrying portable battery chargers (power banks) and spare lithium batteries on aircraft. The purpose of this study is to determine and explain the effectiveness of information delivery by aviation security officers in overcoming communication conflicts with passengers regarding power bank capacity at Adi Soemarmo Boyolali International Airport. This research is a quantitative study using data collection methods using questionnaires with the population being passengers who carry power banks with capacities exceeding the applicable regulations. The results of this study are with the value of tcount (10,657) ˃ ttable (1,1991) then there is an influence on how to deliver information carried out by aviation security officers in overcoming communication conflicts with passenge rs, besides the influence of the delivery of information carried out by aviation security officers in overcoming communication conflicts with passengers is 59.3%, the remaining 40.7% is influenced by other factors outside this study.
 Key words: Submission of Information, Communication Conflict, Power bank

Domestic flight network hub location problem under traffic disruption with sustainability provision

There are many models in the current literature used extensively for the last 20 years on hub location problems and collect-distributive network structures. A centrally hub located facility serves as the main distribution base and flows from other facilities are collected in this hub then distributed. This centralization approach and expansion of the operational network brings the advantage of economies of scale in these days. According to the airline companies, the flight network in form of a distributor increases the profit of airline companies and provides significant savings in costs. In this study, a new hub location problem as homogeneous multi allocation p-hub median problem is proposed and solved considering the effects of airplane types and characteristics on hub locations were investigated. The results showed that the constraints and parameters used in the developed model have a significant effect on hub site selection and assignment to the different flight routes of low-cost airline companies.

Study of Delay Prediction in the US Airport Network

In modern business, Artificial Intelligence (AI) and Machine Learning (ML) have affected strategy and decision-making positively in the form of predictive modeling. This study aims to use ML and AI to predict arrival flight delays in the United States airport network. Flight delays carry severe social, environmental, and economic impacts. Deploying ML models during the process of operational decision-making can help to reduce the impact of these delays. A literature review and critical appraisal were carried out on previous studies and research relating to flight delay prediction. In the literature review, the datasets used, selected features, selected algorithms, and evaluation tools used in previous studies were analyzed and influenced the decisions made in the methodology for this study. Data for this study comes from two public sets of domestic flight and weather data from 2017. Data are processed and split into training, validation, and testing data. Subsequently, these ML models are evaluated and compared based on performance metrics obtained using the testing data. The predictive model with the best performance (in choosing between logistic regression, random forest, the gradient boosting machine, and feed-forward neural networks) is the gradient boosting machine.

An econometric analysis for the determinants of flight speed in the air transport of passengers

Accurately determining an aircraft's flight speed is crucial for optimizing airline performance, as it directly impacts factors such as fuel consumption and emissions. Flying at speeds higher than what is recommended by the manufacturer can result in increased fuel burn. However, flying at slower speeds may lead to longer flight times and competitive disadvantages for airlines as passengers typically prefer shorter travel times. This study empirically investigates the driving forces in the decision-making process of airlines when setting flight speeds to reduce costs while maintaining the quality of service provided to customers. We develop econometric models of planned flight cruise speed and actual mean flight speed. We analyze a vast amount of data, comprising millions of domestic flights within Brazil. Our results allow for policy recommendations that identify opportunities for improvements in airline flight operations optimization, with implications for the environmental footprint of commercial aviation.

Cases and Steps for Handling Baggage at PT. Gapura Angkasa at Kualanamu International Airport

The development of science and technology is currently growing rapidly. The need for a trip is also felt by customers in choosing transportation services that are considered to be able to take their journey to get to their destination quickly. One of them is felt in the world of aviation, both domestic and international flights. However, in flight there are also obstacles, for example, namely passenger baggage, luggage carried by passengers is also not free from various problems. These baggage service deviations can occur when passengers arrive at the final destination station or during post flight services. Therefore the purpose of this study is to find out how the case and baggage handling steps are. The author uses a qualitative method with a descriptive qualitative type where the data is contained in the form of statements or words that describe the results of research in the field. The data analysis technique used is descriptive analysis, namely by explaining the results of the research by presenting them in the form of descriptive sentences with 3 steps, namely data reduction, data presentation, and drawing conclusions. The results of this study indicate that cases of baggage deviation that occur are lost/stray baggage, damaged baggage, surplus baggage and pilfered. The steps taken by the lost and found officers are in accordance with the standard operating procedures of PT Gapura Angkasa and the officers use the facilities and infrastructure to make it easier for the lost and found unit officers to carry out their duties. Then the evaluation is carried out, namely passengers can provide an assessment of the performance of lost and found unit officers through a customer feedback form, through this form passengers can fill out all complaints or praise as desired.

Research on Airline Strategy under COVID-19: Flight Pricing and Human Resources Perspectives

The COVID-19 pandemic has led to a global recession in the economy. People travel less due to stricter restrictions set by governments worldwide and fewer business activities due to the spread of the disease. This means that the airlines will receive a sharp decrease in income, which is a disaster for them because the cost is inelastic. To help change the situation of the airlines, this paper presents a calibration method based on the data of Chinese airlines and international flight data. The proposed method contains three parts: long-term price strategy, including pricing setting for domestic and international flights; new ways of price discrimination and pricing differences pushing up the demands, the new policies for the flight attendants, including wearing masks and introducing policies to prevent the virus from spreading. The experimental method’s result shows that COVID-19’s impact on airlines can be significantly improved with an accurate way to regain customers’ trust and willingness to travel by air compared to the pre-COVID method of working.

MARS와 PAM을 활용한 순항 단계 고도 이탈 이상치 탐지

Recently, methods for analyzing and detecting precursor signs of aviation accidents through navigation data have been studied. However, most of the studies are limited to the takeoff and landing stages, and there are no rules specifying the cruise stage, so the cruise stage search studies are rare. At this stage, break away according to altitude and path rather than speed occur, and in this paper, we try to detect break away in altitude of cruise stage by clustering method. In the ADS-B flight data received from January to December 2019, 10% of flights from Jeju Airport to Gimpo Airport, the most frequently operated domestic flights, were sampled and studied about 4,400 flights. Through the Multivariate Adaptive Regression Splines (MARS) model and the simple linear regression model, the slope between the trajectories was calculated to define the cruise slope, an interval that can be defined as the cruise stage. In addition, the non-similarity between flights was calculated using the distance measurements, EDR and DTW. Two cluster methods were used: PAM, Hierarchical clustering, and flights were clustered through PAM with the largest average silhouette width. An outlier was determined through a non-similar value between the center of the cluster classified through PAM and the flights within the cluster, and about 12% of flights were detected. It is expected to be able to prevent aviation accidents by detecting altitude break away, one of the premonitory signs, earlier. In subsequent studies, outlier detection can be carried out using a Semi-supervised learning method to detect outliers based on normal data collected with the help of experts in the aviation field.

The state of Africa's air transport market amid COVID-19, and forecasts for recovery

The COVID-19 pandemic has raised air transport stakeholders' concerns about the state of the market, the potential timing of recovery, and recouping long-haul traffic. Passengers’ travel confidence must be restored, and air travel safety awareness raised. This paper estimates the immediate and long-term effects of COVID-19 on air transport markets and forecasts timescales for recovery of the markets for domestic and international flights in nine African countries. Intervention analysis and SARIMAX are employed for the analysis, using monthly time-series data from August 2003 to December 2021. The empirical results show that air transport is significantly elastic to the pandemic. It is forecast that air transport recovery may take around 28 months for domestic flights and 34 months for international flights, starting from 2020. The simulation analysis suggests that passenger flights may rebound to pre-crisis levels between 2022 and 2023. In general, the pandemic-induced fluctuations in the aviation market and the nature of the rebound may be considered to be part of a cyclical process rather than a structural change.

A Structure-Conduct-Performance Analysis Of Commercial Air Transportation Industry In Indonesia

To project the performance of an industry and a company, the market structure is one of the things that needs to be looked at. In addition, company behavior in the form of various strategies to increase customers also needs to be analyzed. Past performance will also be used to project industry and company performance. This research is descriptive research that aims to analyze the structure, behavior, and performance of the air transportation industry in Indonesia. The data used is secondary data and is limited to national airlines and the data used is also for domestic flight services in 2016-2020. Data were analyzed using a quantitative approach in the form of certain formulas, such as CR4, MES, and IHH. The results of the analysis conclude that the Indonesian commercial air transportation industry is in the form of a tight oligopoly or a dominant company with a competitive fringe. The behavior of national airlines in attracting consumers is carried out through various strategies, such as cooperating with other parties in marketing, providing onboard service strategies, and increasing timeliness. The performance of the aviation industry in 2016-2018 tends to increase. However, in 2019 and 2020 it tends to decrease. This can also be seen from the growth in passengers for each airline. In terms of load factor, Garuda and City Link experienced a significant decline from 2019 to 2020.

Impacts of travel bans and travel intention changes on aviation emissions due to Covid-19 pandemic.

The online version contains supplementary material available at 10.1007/s10668-023-02916-8.

Kajian Pemindahan Rute Penerbangan Bandar Udara Terhadap Kepuasan dan Nilai Pelanggan

After switching flight paths in July 2019 for both domestic and international flights, Husein Sastranegara Airport in Bandung was replaced by West Java International Airport in Majalengka. In comparison to Husein Sastranegara Airport, several airlines operating at Kertajati Airport saw a drop in passenger traffic. A survey was carried out in this study using a questionnaire that was given to 113 participants. The statistical package for social science (SPSS) application and structural equation modeling (SEM) with SmartPLS will subsequently be used to process the survey results. Data analysis revealed that airport accessibility (AA), terminal facilities (TF), and customer value are all positively impacted by the characteristics that contribute to an improvement in customer satisfaction (CS) (CV). Airport Accessibility is by far the most important of these characteristics, which serve as the standards by which travelers select their flights, according to the poll. The calculation's outcome demonstrates that rcount exceeds rtable. Customer satisfaction (CS) R-Count 0.889 and R-Table 0.183, Terminal facilities (TF) R-Count 0.885 and R-Table 0.183, Service innovation (SI) 0.856 and R-Table 0.183, and Customer Value R-Calculate 0.926 and R-Table 0.183 are the results using SPSS for these variables. From the experimental findings, it can be inferred that the supply of different services and amenities at the airport affects consumer happiness.

An evidence-base for reducing the CO2 emissions of national mega sports events: application of the three-hub model to the Japan 2019 Rugby World Cup

Reducing carbon emissions has emerged as an urgent sustainable tourism challenge for the organisers of global mega sports events. This study aims to contribute to the evidence-based for sustainable mega sports events, by examining the potential reduction in CO2 emissions related to the air travel of inbound tourists between each venue and prefecture of entry (airport) using the Japan 2019 Rugby World Cup as a case study. We apply the “three-hub model” of event delivery to measure the scope for domestic transport emissions reductions if the event had been delivered under this model. Using secondary Rugby World Cup 2019 ticket purchase data, our estimations indicated that the implementation of the three-hub model would have reduced the domestic transport emissions of inbound spectators by 62.7% (14,126.9 tCO2). We propose two indices for the destination scale of analysis, namely, the numbers of transportation routes that require domestic flights (a) between each venue and prefecture of entry (airport) and (b) between venues. A lack of research on the CO2 emissions generated by mega sports events leaves much scope for the development of the evidence-base required to assist event organising committees to respond to SDG #13 Climate Action.