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Description
The Federal Flight Deck Officer (FFDO) program was mandated legislatively, as part of the Homeland Security Act of 2002. This study replicated earlier research that investigated pilots’ opinions of the current state of the FFDO program based on interviews. A Likert survey was created to allow simpler quantitative collection and

The Federal Flight Deck Officer (FFDO) program was mandated legislatively, as part of the Homeland Security Act of 2002. This study replicated earlier research that investigated pilots’ opinions of the current state of the FFDO program based on interviews. A Likert survey was created to allow simpler quantitative collection and analysis of opinions from large groups of pilots. A total of 43 airline pilots participated in this study. Responses to the Likert questions were compared with demographics, searching for significance through a Pearson chi-square test and frequencies were compared to earlier research findings. Significant chi-square results showed that those familiar with the program were more likely to agree the program should continue, it was effective, the screening and selection process of program applicants was adequate and the Federal Air Marshal Service’s management of the FFDO program was effective. Those with Military experience were more likely to disagree it was reasonable that FFDOs were required to pay for their own room and board during training or train on their own time. All those who shared an opinion agreed there should be a suggestion medium between FFDOs and their management. Unlike the prior study, all those familiar with the program agreed the weapons transportation and carriage procedures were adequate. Furthermore, all those who shared an opinion found the holster locking mechanism adequate, which was another reversal of opinion from the prior study. Similar to the prior study, pilots unanimously agree FFDOs were well trained and agreed that the program was effective and should continue.
ContributorsFerrara, Marc, M.S (Author) / Niemczyk, Mary (Thesis advisor) / Nullmeyer, Robert (Committee member) / Branaghan, Russell (Committee member) / Arizona State University (Publisher)
Created2017
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Description
The aviation industry is considered to be the safest when it comes to transportation of people and property. The standards by which companies provide air transportation are held are very high. Nevertheless, a shortage in the number of pilots exists and companies must look for ways to meet demands. One

The aviation industry is considered to be the safest when it comes to transportation of people and property. The standards by which companies provide air transportation are held are very high. Nevertheless, a shortage in the number of pilots exists and companies must look for ways to meet demands. One of the ways to resolve this issue is to introduce unmanned systems on a broader scale – to transport people and property. The public’s perception regarding this issue has not been well documented. This survey identified what the public’s attitude is towards the use of these systems. One hundred fifty-seven people participated in this survey. Statistical analyses were conducted to determine if participant demographics, previous aviation background, and comfort levels were significantly related to various transportation technologies. Those who were comfortable or uncomfortable with self-driving cars kept their same comfort level for other technologies such as drone delivery services. The survey also revealed that the vast majority of respondents did not feel comfortable being a passenger on fully autonomous aircraft. With an overwhelming percentage of society not comfortable with the idea of there being no pilot for the aircraft, it is important for companies working to implement this technology to pay close attention to the public perception of autonomous aircraft.
ContributorsWollert, Matthew Benjamin (Author) / Niemczyk, Mary (Thesis advisor) / Nullmeyer, Robert (Committee member) / Wallmueller, Katherine (Committee member) / Arizona State University (Publisher)
Created2018
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Description
Student pilots are the future of aviation and one of the biggest problems that they face as new pilots is fatigue. The survey was sent out asking if student pilots were fatigued, if they attribute flight training, school work, work outside of school, and social obligations to their sleep loss,

Student pilots are the future of aviation and one of the biggest problems that they face as new pilots is fatigue. The survey was sent out asking if student pilots were fatigued, if they attribute flight training, school work, work outside of school, and social obligations to their sleep loss, and how they spend their time on those activities. The survey was given to aviation students at Arizona State University (ASU) Polytechnic Campus. ASU student pilots were found to be fatigued through a single sample t-test. Other t-tests were done on each of the questions that asked student pilots how flight training, school work, work outside of school and social obligations affect their sleep loss. Flight training and school were found to be contributing to student pilots sleep loss. Work outside of school and social obligations were found to not be contributing to student pilots sleep loss. It was found that student pilots’ tendency to use a planner or calendar was found to not be significant. Along with this planning through the week when they will do assignments or study for exams was also not found to be significant. Students making lists of assignments and when they are due was also found to not be significant. The t-test also found that student pilots are neutral on the topic of whether good time management skills would help increase the amount of sleep that they get.
ContributorsHarris, Mariah Jean (Author) / Cooke, Nancy J. (Thesis advisor) / Nullmeyer, Robert (Thesis advisor) / Gray, Robert (Committee member) / Arizona State University (Publisher)
Created2019
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Description
The purpose of this research was to determine if students who are enrolled in a professional flight program exhibit significantly higher rates of depression, stress, and anxiety. This study compared professional flight students to non-professional flight students to determine whether professional flight students have higher rates of depression and anxiety.

The purpose of this research was to determine if students who are enrolled in a professional flight program exhibit significantly higher rates of depression, stress, and anxiety. This study compared professional flight students to non-professional flight students to determine whether professional flight students have higher rates of depression and anxiety. In addition, this study sought to determine if there were higher depression, anxiety, and stress levels in upperclassmen (juniors and seniors) than in lowerclassmen (freshman and sophomore). Finally, upperclassmen and underclassmen within professional flight programs were compared to test if upperclassmen professional flight students exhibit higher rates for depression, anxiety and stress. These groups were compared to each other by using a survey that measures depression, anxiety, and stress. There were no statistically significant results. No singular group is more or less prone to depression, anxiety, or stress.
ContributorsJacobs, Destry (Author) / Niemczyk, Mary (Thesis advisor) / Cooke, Nancy J. (Thesis advisor) / Nullmeyer, Robert (Committee member) / Cline, Paul (Committee member) / Arizona State University (Publisher)
Created2019
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Description
Aviation is a complicated field that involves a wide range of operations, from commercial airline flights to Unmanned Aerial Systems (UAS). Planning and scheduling are essential components in the aviation industry that play a significant role in ensuring safe and efficient operations. Reinforcement Learning (RL) has received increasing attention in

Aviation is a complicated field that involves a wide range of operations, from commercial airline flights to Unmanned Aerial Systems (UAS). Planning and scheduling are essential components in the aviation industry that play a significant role in ensuring safe and efficient operations. Reinforcement Learning (RL) has received increasing attention in recent years due to its capability to enable autonomous decision-making. To investigate the potential advantages and effectiveness of RL in aviation planning and scheduling, three topics are explored in-depth, including obstacle avoidance, task-oriented path planning, and maintenance scheduling. A dynamic and probabilistic airspace reservation concept, called Dynamic Anisotropic (DA) bound, is first developed for UAS, which can be added around the UAS as the separation requirement. A model based on Q-leaning is proposed to integrate DA bound with path planning for obstacle avoidance. Moreover, A deep reinforcement learning algorithm based on Proximal Policy Optimization (PPO) is proposed to guide the UAS to destinations while avoiding obstacles through continuous control. Results from case studies demonstrate that the proposed model can provide accurate and robust guidance and resolve conflict with a success rate of over 99%. Next, the single-UAS path planning problem is extended to a multi-agent system where agents aim to accomplish their own complex tasks. These tasks involve non-Markovian reward functions and can be specified using reward machines. Both cooperative and competitive environments are explored. Decentralized Graph-based reinforcement learning using Reward Machines (DGRM) is proposed to improve computational efficiency for maximizing the global reward in a graph-based Markov Decision Process (MDP). Q-learning with Reward Machines for Stochastic Games (QRM-SG) is developed to learn the best-response strategy for each agent in a competitive environment. Furthermore, maintenance scheduling is investigated. The purpose is to minimize the system maintenance cost while ensuring compliance with reliability requirements. Maintenance scheduling is formulated as an MDP and determines when and what maintenance operations to conduct. A Linear Programming-enhanced RollouT (LPRT) method is developed to solve both constrained deterministic and stochastic maintenance scheduling with an infinite horizon. LPRT categorizes components according to their health condition and makes decisions for each category.
ContributorsHu, Jueming (Author) / Liu, Yongming YL (Thesis advisor) / Yan, Hao HY (Committee member) / Lee, Hyunglae HL (Committee member) / Zhang, Wenlong WZ (Committee member) / Xu, Zhe ZX (Committee member) / Arizona State University (Publisher)
Created2023
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Description
The primary purpose of this research was to evaluate the differences in retention intention between men and women in collegiate aviation programs. Data was collected through the use of surveys and follow-up interviews. It was found that women are no more likely than men to consider dropping out of their

The primary purpose of this research was to evaluate the differences in retention intention between men and women in collegiate aviation programs. Data was collected through the use of surveys and follow-up interviews. It was found that women are no more likely than men to consider dropping out of their academic institution or abandoning the pursuit of a career in aviation. Regardless of retention intention, women in collegiate aviation programs report a much lower sense of belonging than men, which can be attributed to low self-efficacy, a lack of representation of women, and feeling disconnected from both peers and faculty. All of the women interviewed did not identify gender as a salient identity when describing these similar experiences and instead pointed to other social identities and factors to explain their feelings. Survey and interview results, however, indicate that women in collegiate aviation programs often responded to questions similarly regardless of experience level, race and ethnicity, or sexual orientation.
ContributorsShantz, Rachael M. (Author) / Cirillo, Michael (Thesis advisor) / Roscoe, Rod (Committee member) / Wallmueller, Katherine (Committee member) / Arizona State University (Publisher)
Created2022
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Description
There are significantly higher rates of pilot error events during surface operations at night than during the day. Events include incidents, accidents, wrong surface takeoffs and landings, hitting objects, turning on the wrong taxiway, departing the runway surface, among others. There is evidence to suggest that these events are linked

There are significantly higher rates of pilot error events during surface operations at night than during the day. Events include incidents, accidents, wrong surface takeoffs and landings, hitting objects, turning on the wrong taxiway, departing the runway surface, among others. There is evidence to suggest that these events are linked to situational awareness. Improvements to situational awareness can be accomplished through training to instruct pilots to increase attention outside of the cockpit while taxiing at night. However, the Federal Aviation Administration (FAA) night time requirements are relatively low to obtain a private pilot certification. The purpose of this study was to determine the effect of flight training experience on conducting safe and incident-free surface operations at night, collect pilot opinions on night training requirements and resources, and analyze the need for night time on flight reviews. A survey was distributed to general aviation pilots and 239 responses were collected to be analyzed. The responses indicated a higher observed incident rate at night than during the day, however there were no significant effects of night training hours or type of training received (Part 61, Part 141/142, or both) on incident rate. Additionally, higher total night hours improved pilot confidence at night and decreased incident rate. The overall opinions indicated that FAA resources on night flying were effective in providing support, but overall pilots were not in support of or against adding night time requirements to flight reviews and found night training requirements to be somewhat effective.
ContributorsWhittard, Megan (Author) / Niemczyk, Mary (Thesis advisor) / Nullmeyer, Robert (Committee member) / Hampshire, Michael (Committee member) / Arizona State University (Publisher)
Created2020
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Description
Since the mid-2000s, the domestic aviation industry has been influenced by new, rapidly growing ultra low-cost carriers (ULCCs) such as Allegiant Air, Spirit Airlines, and Frontier Airlines. These carriers augment the existing low-cost airline model by operating largely point-to-point routes with a minimum of passenger amenities. Existing literature, however, is

Since the mid-2000s, the domestic aviation industry has been influenced by new, rapidly growing ultra low-cost carriers (ULCCs) such as Allegiant Air, Spirit Airlines, and Frontier Airlines. These carriers augment the existing low-cost airline model by operating largely point-to-point routes with a minimum of passenger amenities. Existing literature, however, is limited for North American ULCCs, often lumping them together with mainstream low-cost carriers. The pattern of markets served by ULCCs is incongruous with the models of other airlines and requires further research to examine causal factors. This paper sought to establish conclusions about ULCCs and the relevant market factors used for airport choice decisions.The relationship between ULCC operations and airport choice factors was analyzed using three methods: a collection of 2019 flight data to establish existing conditions and statistics, two regression analyses to evaluate airport market variables, and three case studies examining distinct scenarios through qualitative interviews with airport managers. ULCC enplanement data was assembled for every domestic airport offering scheduled ULCC service in 2019. Independent variable data informed by previous research were collected for every Part 139 airport in the U.S. The first regression analysis estimated a OLS regression model to analyze the log of enplanements. The second model estimated a binary logistic equation for ULCC service as a 0-1 dependent variable. Case studies for Bellingham, Washington, Waco, Texas, and Lincoln, Nebraska were selected based on compelling airport factors and relevant ULCC experience. Results of the research methods confirm certain theories regarding ULCC airport choice, but left others unanswered. Maps of enplanements and market share revealed concentrations of ULCC operations on the East Coast. Each regression analysis showed a strong and positive relationship between population figures and the existence and quantity of ULCC operations. Tourism employment was only significantly related to enplanements. Other factors including distance and competition variables were significantly associated to ULCC service. Case studies revealed the importance of airport fees and costs in ULCC decision-making; factors that proved difficult to investigate quantitatively in this research. Further research may shed light on this complex and ever- changing subset of the domestic commercial aviation industry.
ContributorsTaplin, Drew (Author) / Kuby, Michael (Thesis advisor) / King, David (Committee member) / Salon, Deborah (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Nicotine and tobacco use, whether it be through cigarette smoking or other devices, creates negative health conditions in pilots. The literature that was reviewed pertained to nicotine withdrawal symptoms and their negative impact on pilot performance. There have been studies conducted in order to explore how these symptoms impact pilot

Nicotine and tobacco use, whether it be through cigarette smoking or other devices, creates negative health conditions in pilots. The literature that was reviewed pertained to nicotine withdrawal symptoms and their negative impact on pilot performance. There have been studies conducted in order to explore how these symptoms impact pilot performance using cigarettes as the only nicotine device and does not specify the nicotine levels or the frequency of use. This thesis extends this work to examine the relationship between the nicotine withdrawal symptoms and the nicotine behaviors of pilots. It was hypothesized that the extent of withdrawal symptoms may differ by device and by nicotine levels and frequency of use, with higher levels and more frequent use being associated with more severe withdrawal symptoms. These behaviors included the device they use to take nicotine whether it be cigarettes, vaporizers, e-cigarettes, or smokeless tobacco. The behaviors also included exploration of how nicotine levels relate to withdrawal symptoms whether the nicotine level is as low as 3mg or high as 36mg. The last relationship that was explored was that between the withdrawal symptoms presented in pilots and how often they used nicotine, whether it be often as every day or less frequent as 1-2 times a year. It was found that there is no statistical relationship between nicotine withdrawal symptoms and the nicotine habits such as device used, nicotine level used, and frequency of use.
ContributorsBartlowe, Halie Marie (Author) / Cooke, Nancy J. (Thesis advisor) / Nullmeyer, Robert (Committee member) / Wende, Anthony (Committee member) / Arizona State University (Publisher)
Created2019