Management and Operations Commons^™

Airport Ground Access Choice Between Transportation Network Companies And Parking: A Case Study Of Hartsfield-Jackson Atlanta International Airport, Sen Wang, Yichen Zheng, Yi Gao

International Journal of Aviation, Aeronautics, and Aerospace

The segment between home and airports is an essential component in all air transportation trips. Travelers normally have different ground access options to commence their journeys. Using Hartsfield-Jackson Atlanta International Airport as a special case, this study proposes a theoretical framework for quantifying and comparing the overall cost of driving and parking at airport and the use of Transportation Network Companies (TNCs) ridesharing services such as Uber. Based on the cost comparison, we design an interactive web application to visualize the utility advantage area and summarize the corresponding demographic information. Our study has the potential to benefit airports, TNC operators, …

Risk Assessment Matrix Of Operational Safety (Ramos): Aviation Safety With A Matlab® Design Toolkit, Haoruo Fu M.S., Chien-Tsung Lu Ph.D., Zhenglei Ji M.S.

Journal of Aviation/Aerospace Education & Research

Safety is the priority of the aviation industry that requires continuous support and improvement. While the Safety Management Systems (SMS) is mandatory for the Federal Aviation Administration (FAA) Federal Aviation Regulation (FAR) Part 121 air carriers and Part 139 airports in the United States, SMS remains optional to General Aviation (GA) due to various reasons including limited budget and manpower associated with technologies. This paper aims to promote the adoption of MATLAB^® to develop a low-cost Risk Assessment Matrix of Operational Safety (RAMOS) (risk calculation and control) for GA operators. A case is presented to demonstrate the application of …

A Deep Bilstm Machine Learning Method For Flight Delay Prediction Classification, Desmond B. Bisandu Phd, Irene Moulitsas Phd

Journal of Aviation/Aerospace Education & Research

This paper proposes a classification approach for flight delays using Bidirectional Long Short-Term Memory (BiLSTM) and Long Short-Term Memory (LSTM) models. Flight delays are a major issue in the airline industry, causing inconvenience to passengers and financial losses to airlines. The BiLSTM and LSTM models, powerful deep learning techniques, have shown promising results in a classification task. In this study, we collected a dataset from the United States (US) Bureau of Transportation Statistics (BTS) of flight on-time performance information and used it to train and test the BiLSTM and LSTM models. We set three criteria for selecting highly important features …

Systematic Review Of Safety Management Systems In The United States General Aviation, Kenneth J. Gilbert Ii, Mba, Atp

Journal of Aviation/Aerospace Education & Research

A safety management system may benefit General Aviation by increasing safety and reducing accident rates. This paper aims to systematically review the existing literature in targeted databases for gaps concerning general aviation safety management systems. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology provided the overall structure. Science Direct®, Embry Riddle Aeronautical University's Scholarly Commons, and the Federal Aviation Administration’s (FAA) website were the three publicly available sources. Initial search criteria included PDF research articles (2006-2022), including the terms safety management system and general aviation. Additionally, keyword searches for the terms policy, promotion, risk management, …

Ads-B Communication Interference In Air Traffic Management, George Ray

International Journal of Aviation, Aeronautics, and Aerospace

Automated Dependent Surveillance Broadcast (ADS-B) provides position and state information about aircraft and is becoming an essential component in the global air traffic management system. ADS-B transponders broadcast this key information on a common frequency to both other aircraft and to secondary surveillance radar systems located at ground stations. Both the aircraft transponders and the ground stations work together to assist in managing the commercial airspace. Since the aircraft transponders all broadcast on the same frequency and are in close proximity there is an apparent risk of interference and the garbling of the communications needed to manage the airspace.

The …

Learning From Past In The Commercial Air Transport Industry: A Bibliometric Analysis And Systematic Literature Review In The Safety Management Framework, Alok Tyagi, Rajesh Tripathi Dr, Soufiane Bouarfa Dr

International Journal of Aviation, Aeronautics, and Aerospace

In the commercial air transport industry, numerous accidents have occurred because stakeholders have failed to learn lessons from the past. The reactive hazard identification (HI) methodology in the current regulatory safety management framework provides a fresh opportunity to negotiate the challenges of the air transportation sector's predicted growth and societal safety expectations. In the regulatory framework, ‘learning from the past’ is related to the reactive method of HI, and it is viewed as a data-driven decision-making process in this review. This literature review aims to investigate academic literature on ‘learning from the past’ in the aviation industry to comprehend an …

Stochastic Optimization To Reduce Aircraft Taxi-In Time At Igia, New Delhi, Rajib Das, Saileswar Ghosh, Rajendra Desai, Pijus Kanti Bhuin, Stuti Agarwal

International Journal of Aviation, Aeronautics, and Aerospace

Since there is an uncertainty in the arrival times of flights, pre-scheduled allocation of runways and stands and the subsequent first-come-first-served treatment results in a sub-optimal allocation of runways and stands, this is the prime reason for the unusual delays in taxi-in times at IGIA, New Delhi.

We simulated the arrival pattern of aircraft and utilized stochastic optimization to arrive at the best runway-stands allocation for a day. Optimization is done using a GRG Non-Linear algorithm in the Frontline Systems Analytic Solver platform. We applied this model to eight representative scenarios of two different days. Our results show that without …

Business Process Architecture For The Integration Of Artificial Intelligence At Aerospace Organizations, Andrew Walker

International Journal of Aviation, Aeronautics, and Aerospace

Artificial intelligence's capability is rapidly increasing, and the aerospace industry must capitalize on this computing revolution. The current study conducts an integrative literature review to identify current and potential AI applications beneficial to the aerospace industry. It utilizes the findings to develop a new high-level business process architecture integrating AI in the workplace. Business process elements are extracted from the literature using logical reasoning to modify a baseline architecture model. The new model is developed to allow the integration of artificial intelligence from a holistic perspective, at the more general level of employee interaction and at the more narrow level …

The Impact Of Unscheduled Maintenance To An Airline’S On Time Performance, Augusto Dalazen, Beatriz Barbi, Beatriz Ponzoni, Giovanna Simões, Lucas Kamalakian

Student Works

Unscheduled maintenance events have a significant impact on airlines performance and network operations. Some events can have its consequences minimized by simple actions due to its simplicity and lack of influence in the safe conduction of a flight.

This study aimed on collecting data regarding the cost and consequences of ground turn back events in the Airbus A320 family. The study suggested that after the implementation of proper supporting regulation on Crew Applied MEL, money would be saved as well as network disruption consequences could be avoided.

The data presented in this study reflects current Brazilian legislation, and data from …

Optimal Scheduling Of Aircraft Test And Evaluation Fleets To Balance Availability For Testing And Training, Sarah E. Hoops

Theses and Dissertations

The 96th Test Wing at Eglin Air Force Base manually schedules a fleet of approximately 26 aircraft to conduct a range of missions over a one-to-two year planning period. This study automates the scheduling process, does so in a manner that optimizes multiple planning goals related to aircraft availability for training, and provides the 96th Test Wing with a software tool for the implementation that can be used by operational analysts within the command. We formulate the scheduling problem as a multiobjective, nonlinear, binary integer math program that seeks to maximize both the lowest percent of time any aircraft is …

Investigating Supply Parts Delivery Delay From Supply Depot To King Khaled Air Base In Royal Saudi Air Force, Rashed S. Alkhathami

Theses and Dissertations

Aircraft supply parts is an important factor in preparing the aircraft to do its mission. Due to delayed delivery of parts or inefficient delivery process, time may be lost waiting for aircraft supply parts, causing mission delay or failure. By tackling the delivery delay causes we can insure improvement on delivery process. In order to gather data for this thesis two different tools were used, aircraft parts data and an interview. Data was gathered from the F15 maintenance and supply squadrons in the Royal Saudi Air Force. Results of this research showed diverting in the main duty of supply depot …

Building A Frameworks For Apron Planning, Design, Optimization, Future Proofing And Expansion, Adam K. Wing

<strong> Theses and Dissertations </strong>

Airports are a significant economic driver that impact local and national interests. As such, in an ever connected world, these critical components of infrastructure face a growing number of influences which contribute to systems complexity and frequently impede further development. The point of this dissertation is to discuss and highlight the benefit of systematic thinking as planners approach airport planning challenges and update the aging aviation infrastructure in many regions of the world.

This dissertation looks at a series of three papers that, examine the impact and influences of technology, distinguishes the effects of social and procedural changes, and offers …

Aviation Supply And Demand In The São Paulo And Rio De Janeiro Systems Evolution: An Exploratory Study, Leila Halawi, Bruno De Paula Balan, Renan Cipriano Da Cunha, Maria Claudia Ferreira Da Cunha

Publications

Aim/purpose – Multiple factors affect a passenger’s origin and destination airport choice. This study explores some of the leading indicators associated with performance in cities with more than one airport. Two important Multi-Airport Systems (MAS) in Brazil were the object of this study: São Paulo (Congonhas and Guarulhos) and Rio de Janeiro (Santos Dumont and Galeão), the most significant demand-generating centers in the country and the most critical distribution centers of flights from South America.

Design/methodology/approach – Using public databases presenting the evolution of supply and demand from 2013 to 2018, the evolution of flights, and the sales by airlines …

Business Benefits Associated With Improving Fatigue Regulations For Cargo Pilots, Arthur Chiari, Bruna De Gois E Silva, Nelson Christianini

Student Works

The central idea of this research is to assess business-related factors in the Pilots ́ Fatigue Regulations and evaluate if a more flexible regulation would improve productivity of airline cargo pilots in Brazil.

The results of the study have indicated that Brazilian Civil Aviation Authority (ANAC) can create a regulatory environment that may lead up to 34,28% of improved productivity of pilots ́ availability in cargo operations, which may contribute for gains up to USD $3.6 million for an airline with cargo 70 pilots flying 16.500 hours per year.

Aviation fatigue regulations are an extremely important subject in the aviation …

Modeling Airport Catchment Areas: Using Spatial Analysis Approach, Sitong Chen

The Journal of Purdue Undergraduate Research

Th e airport catchment area is the geographic area from which an airport can reasonably expect to draw commercial air service passengers. Th e purpose of this interdisciplinary research is to estimate airport catchment areas using a spatial analysis method for informed airport management. In order to ensure the comprehensiveness and reliability of the research, we chose to analyze the catchment areas for five airports of different sizes and in different geographic locations in the United States. The Huff model, which is usually used in marketing, economics, and retail research, was adopted in this study. We applied this model in …

Ramping Up For Cost And Performance Improvements, Arthur Zucchetti Lechmann, Guilherme Henrique Lima, João Paulo Lucchi, Paulo Henrique Azevedo Santana, Pedro Kamikihara

Student Works

The objective of this Research Project was to study the possible benefits of developing an improved Metering Control System. This study identified potential cost savings and reduced emissions through the greater use of a Metering Control System. The results of this research have indicated an annual cost reduction of $720,000 in fuel burn and a significant delay time reduction caused by accumulated ground traffic. In addition, during peak hours, it was concluded that savings could be potentially higher. Therefore, by optimizing the ground movement, it is also expected a lower level of CO2 emissions, an increased safety level due to …

The Impact Of Passenger Characteristics On Use Of Self-Service Technologies For Check-In Process: A Case Study Of Sydney Airport, Sarika Tyagi, Gabriel Lodewijks

Journal of Aviation Technology and Engineering

Due to the severe global competition in the aviation industry, airports give top priority to passenger services. Therefore, a study of characteristics associated with passenger services is one of the most important measurements in the aviation industry. The objective of this study was to analyze the impact of passenger characteristics on the use of self-service technology (SST) for the check-in process at Sydney Kingsford Smith Airport. A survey was conducted online amid the COVID-19 pandemic for data collection. Based on the collected responses, this study analyzed the sociological and demographic characteristics of the passengers and situational factors related to characteristics …

Feasibility Study Of Regional Air Mobility Services For High Priority Transportation In The San Joaquin Valley, Julia Roa, Joseph Oldham

Mineta Transportation Institute Publications

Regional Air Mobility (RAM) focuses on building upon existing airport infrastructure to transport people and goods using innovative aircraft that offer a huge improvement in efficiency, affordability, and community-friendly integration over existing regional transportation options. These aircraft, which typically carry less than 20 passengers or an equivalent weight in cargo, are flexible in terms of where they can take off and land, even using existing runways and infrastructure to maximize compatibility with today’s airports. This project examines the feasibility of RAM supporting high-speed transportation for high-priority passenger and cargo movement within Fresno County and connection to coastal urban centers. Some …

Low-Cost Carriers Versus Legacy Carriers: Passenger Preference During The Covid-19 Pandemic, Aaron Bushelle

Theses and Dissertations

The purpose of the current study was to identify whether passengers had a preference between traveling on low-cost carriers versus legacy carriers during the ongoing pandemic. Building off research conducted by another researcher, several dimensions were identified and utilized within the question items. For this research, the target population was persons residing within the United States who were at least 18 years old and have traveled since the start of the pandemic in the United States in January 2020. A questionnaire was distributed online, and convenience sampling was undertaken. A T-test was conducted, and results indicated that when it came …

The Impacts Of The Covid-19 Pandemic On Airport Demand Forecasts And Critical Aircraft For Commercial Service Airports Serving Southwest Michigan, Matthew Wietstock

Honors Theses

The COVID-19 pandemic has drastically altered the aviation industry and the nature of how airports predict their future use. This paper conducts a new analysis of the various prediction methods regarding airport demand forecasting using the commercial service airports serving Southwest Michigan. Primarily, the methods researched include time-series analysis using regressions, market-share analysis, and an examination of socio-economic factors. While no one method prevails over the other, the market-share analysis has proven to be the most realistic predictor in three of the four airports analyzed, with time-series analysis predicting the other. A thorough analysis of these forecasting methods can help …

Scheduling Aircraft Departures To Avoid Enroute Congestion, Johannes Martinez

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

When scheduled flights are forecast to overcrowd sections of enroute airspace, an air traffic control authority may need to delay departures. Mixed integer linear programming can be used to compute a schedule that resolves the congestion while bringing the sum of all delays to a minimum. Standard linear programming constraint formulations for such scheduling problems, however, have poor run times for instances of realistic size. A new constraint formulation based on cycles and paths through a route graph reduces run times in computational experiments. It shows particularly strong performance for schedules that approach the worst-case solution times in standard formulations.

Qualitative Findings From The Practice Of Outsourcing By The Aviation Technical Services Industry In Northern Europe: Comparison With Literature, Jukka Holkeri

Journal of Aviation Technology and Engineering

The outsourcing of maintenance and other technical services is a trend in both military and civil aviation. This article uses input from real outsourcing cases in Northern Europe to verify previous literature findings and to introduce new viewpoints to fill an identified research gap.

Interviews of deeply involved individuals from six cases were selected and analyzed using the Delphi method. The findings were synthesized using a framework that articulates contexts, observed outcomes, and generative mechanisms.

Many of the key literature findings were verified by this case analysis, but there were also some contradictions and new observations that had not been …

Characteristics Of Unmanned Aircraft System (Uas) Sightings And Airport Safety, Cheng Wang, Sarah M. Hubbard

Journal of Aviation Technology and Engineering

This paper presents the characteristics of unmanned aircraft system (UAS) sightings and discusses these characteristics in the context of airport safety using airport operational data. An unmanned aircraft in the vicinity of a commercial airport may be a potential threat to aircraft operations, and may result in operational and economic impacts if it causes an airport delay or shutdown. To ensure a record of UAS activity, the Federal Aviation Administration collects and publishes a UAS Sightings Report. This study analyzed UAS sightings and found that they vary by time of year and time of day, with more sightings in the …

The Effects Of 5g Implementation On The Aspects Of Sustainability In The Air Transportation Industry, Leila Halawi, Douglas Ashlock, Lucy Elias, Hannah Puchkoris, Anthony Williams

Publications

The concern of 5G C-band frequency interference with global aviation operations was founded on the criticality of a single-point failure with the radio altimeter operations. The research in this report intends to highlight the severe impact of 5G C-band implementation on the air transportation industry. It focuses on one airport in the United States, Seattle-Tacoma International Airport (SEA), one of the busiest airports in the country, flying both domestically and internationally. The results show that Boeing aircraft are affected more than Airbus for 5G interference. Further, the findings show that the United States should align its 5G implementation with other …

Sms For Part 135 Commuter And On-Demand Operations - The Practitioner’S Perspective, Michael Ott Msaam, Fraes, Atp, Anthony P. Carufe Atp, Chien-Tsung Lu Ph.D.

Journal of Aviation/Aerospace Education & Research

On May 15th, 2017, N452DA, a Learjet 35A operated by Trans-Pacific Air Charter, LLC, departed from Philadelphia to Teterboro, New Jersey (TEB) on a positioning flight under 14 Code of Federal Regulations § 91 (Part 91) in Visual Meteorological Conditions (VMC). While circling to land Runway 01 at TEB after executing the Instrument Landing System (ILS) Runway 06 approach, N452DA stalled and crashed one-half mile south of the approach end of runway 01. The flight records indicated that the crew committed numerous errors before the accident, including deviations from air traffic control (ATC) clearances, company standard operating procedures (SOP), and …

Impact Of Covid-19 On Aviation-Wildlife Strikes Across Europe, Isabel C. Metz, Marta Giordano, Dionysios Ntampakis, Marianna Moira, Anneke Hamann, Rosanne Blijleven, Jürgen J. Ebert, Alessandro Montemaggiori

Human–Wildlife Interactions

Collisions between aircraft and wildlife (i.e., wildlife strikes) pose a serious threat toward the safety of aircraft, its crew, and passengers. The effects of COVID-19 related travel restrictions on wildlife strikes are unknown. With this study, we aim to address this information gap by assessing the changes of wildlife hazard management performance across European airports during the lockdown period (e.g., period of reduced operations and borders closure in spring 2020). We also sought to raise awareness of the importance of wildlife strike prevention in times of reduced operations. The objective of our study was to compare wildlife strike data before …

Space Cargo: Ultra-Fast Delivery On Earth –Potential Of Using Suborbital Space Vehicles For The Transportation Of Cargo, Robert O. Walton, Robert A. Goehlich

International Journal of Aviation, Aeronautics, and Aerospace

No abstract provided.

Classifıcation Of Survivor/Non-Survivor Passengers In Fatal Aviation Accidents: A Machine Learning Approach, Tüzün Tolga İnan Dr.

International Journal of Aviation, Aeronautics, and Aerospace

The safety concept primarily examines the most fatal (resulting in dead passengers) accidents of aviation history in this study. The primary causes of most fatal accidents are; human, technical, and sabotage/terrorism factors. Although the aviation industry started with the first engine flight in 1903, the safety concept has been examined since the 1950s. The safety concept firstly examined the technical factors, and in the late 1970s, human factors started to analyze. Despite these primary causes, there have different factors that affect accidents. So, the study aims to determine the affecting factors of the most fatal accidents to classify the survivor/non-survivor …

Aviation Organization Strategy Development In National Airspace Modernization, Allan Will, Samuel M. Vance

International Journal of Aviation, Aeronautics, and Aerospace

The purpose of this qualitative study was to determine how small sub-directorates within larger organizations develop strategy to accomplish expansive legacy infrastructure re-engineering. There is significant, historical academic inquiry on Technological Transitions (TT)s with respect to infrastructure modernization; the conversion of the National Airspace System from ground-based to space-based navigation is an example of a TT. There are also studies on how to re-engineer legacy software systems to continue supporting organizational needs. This study is intended to explore a case of re-engineering the expansive legacy ground-based navigation system in the United States by efficiently reducing the size of the network …

Integrated Risk Assessment In Ramp Handling Operations: Risk Mapping For Turkish Airports, Ebru Yazgan, Vildan Durmaz, Ayşe Küçük Yılmaz, Konstantinos N. Malagas

International Journal of Aviation, Aeronautics, and Aerospace

Ramp handling acts a vital role in sustainable airport operations. The ramp related services provided to aircraft and their passengers at the airports are related to the landing, take-off, unloading and loading of the aircraft. Human resource is a key component in ramp handling operation and errors by employees cause significant accidents or incidents. The main purpose of the current study is to prioritize critical risk factors in ramp handling operations by using an integrated risk management approach and optimizing human performance while minimizing both failures and errors by employees. In this study, an integrated qualitative and quantitative risk assessment …