Airport CEOs and the Decentralized System of Airports: A Case Study

The job of the airport CEO is complex with responsibility for the security and safety of a large and dynamic facility and, yet the FAA does not have regulatory qualification and performance standards for the position. The purpose of this qualitative multi-case study was to explore the primary attributes that could be the leading indicators in the event national standards for the hiring of airport CEOs are pursued at major commercial airports. The guiding conceptual framework of the study was to combine competency with the concept of training and development. Airport CEOs from six airport facilities were interviewed, and an additional 13 airport CEOs were surveyed during the study. The benchmarks to participate in the study was that the participants were the current CEOs of a major commercial airport and that the airport accounted for at least 0.05 of a percent of all passengers embarking on a flight in the U.S. Data analysis was utilized to establish the themes from the data collection. There are 133 major commercial airports that handle 96% of all passenger traffic operations in the United States. There are 30 large, 31 medium, and 72 small hubs. The study participants represented 14% of the nation’s major commercial airports. The results attained indicated the decentralized hiring practices at nations’ major commercial airports. The findings identified the significance of industry knowledge, communication skills, and political astuteness as the leading indicators in the event national standards for the hiring of airport CEOs are pursued at major commercial airports. Additional future research is recommended

Inverse Optimal Planning for Air Traffic Control

We envision a system that concisely describes the rules of air traffic control, assists human operators and supports dense autonomous air traffic around commercial airports. We develop a method to learn the rules of air traffic control from real data as a cost function via maximum entropy inverse reinforcement learning. This cost function is used as a penalty for a search-based motion planning method that discretizes both the control and the state space. We illustrate the methodology by showing that our approach can learn to imitate the airport arrival routes and separation rules of dense commercial air traffic. The resulting trajectories are shown to be safe, feasible, and efficient

Simulated-airline-service flight tests of laminar-flow control with perforated-surface suction system

The effectiveness and practicality of candidate leading edge systems for suction laminar flow control transport airplanes were investigated in a flight test program utilizing a modified JetStar airplane. The leading edge region imposes the most severe conditions on systems required for any type of laminar flow control. Tests of the leading edge systems, therefore, provided definitive results as to the feasibility of active laminar flow control on airplanes. The test airplane was operated under commercial transport operating procedures from various commercial airports and at various seasons of the year

A Research Note on Street Pricing Requirements in Major U.S. Airport Retail Concessions Requests for Proposals

When reviewing the subject of airport marketing, much of the literature is broken down into issues external or internal to the airport. The external literature tends to divide and differentiate airports on the issues of size (passenger counts) and who is the target of the marketing campaign. Those articles and books that tend to focus on the larger commercial airports (Jarach, 2005; Halpern and Graham, 2013) note the role the airport can play in economic development. Much of the external marketing tasks for the larger commercial airports are aimed at either attracting more airline service to the community or working in conjunction with economic development and tourism agencies in promoting the desirability of the location. Some discussion may examine those few markets in the U.S. where competition can occur between airports, however as airports tend to be dominated by the type of airline in place, legacy or network carriers in contrast to low cost or ultra-low cost carriers, the airlines in place often drive customer choice

Iowa Aviation System Plan, 2004-2024

The Iowa Department of Transportation (DOT), working closely with the Federal Aviation Administration (FAA), strives to ensure that Iowa’s system of public airports is positioned to meet the needs of businesses, residents, and visitors to our state. Airports must be accessible and positioned to safely meet different levels of aviation activity. In partnership with the FAA and various cities, counties, and airport authorities, the Iowa DOT helps to direct the systematic development of public airports. This report is a summary of a more comprehensive technical report that outlines a strategic plan for improving the performance of airports in Iowa over the next 20 years. More information on the technical report and on individual reports prepared for each of the public airports can be obtained from the Iowa DOT, Office of Aviation website at www.iawings.com. The Iowa Aviation System Plan provides the Iowa DOT with an important tool to monitor the ability of airports to meet customer needs. The plan also provides a means to measure the effects of investment on the performance of the Iowa Aviation System. Over the next 20 years, federal, state, local, and private funding will be needed to ensure that the aviation system meets goals established in this study. It is estimated that at least $821 million will be needed over the next 20 years if airports in Iowa are to respond to objectives set by the system plan. In future years, the plan will enable the Iowa DOT to measure system performance. By tracking key indicators for the airport system, it will be possible for the Iowa DOT and the FAA to formulate strategies for responding to Iowa’s air transportation needs. The Iowa Aviation System Plan provides a guide for the state and its communities to ensure that the vision established for the Iowa Aviation System can be achieved

Iowa Aviation System, January 4, 2005

The 8 commercial and 103 general aviation airports throughout Iowa serve a variety of user needs and varying levels of demand. Commercial airports are those that have service by at least one scheduled commercial airline; all other airports are included in the general aviation category. As shown below, all aviation activity indicators for airports in Iowa are expected to grow in the coming years

Charged particle concepts for fog dispersion

Charged particle techniques hold promise for dispersing warm fog in the terminal area of commercial airports. This report focuses on features of the charged particle technique which require further study. The basic physical principles of the technique and the major verification experiments carried out in the past are described. The fundamentals of the nozzle operation are given. The nozzle characteristics and the theory of particle charging in the nozzle are discussed, including information from extensive literature on electrostatic precipitation relative to environmental pollution control and a description of some preliminary reported analyses on the jet characteristics and interaction with neighboring jets. The equation governing the transfer of water substances and of electrical charge is given together with a brief description of several semi-empirical, mathematical expressions necessary for the governing equations. The necessary ingredients of a field experiment to verify the system once a prototype is built are described

The Breach of Security at San Jose’s Airport Raises Broader Issues

This Transportation Security Perspective is the fifth in a continuing series produced by the National Transportation Safety and Security Center of the Mineta Transportation Institute. These examine major terrorist attacks and trends in terrorists targeting surface transportation. Previous perspectives include the bus attack in Abuja, Nigeria, the terrorist bombings in Volgograd, Russia; the assault on passengers at the Kunming train station in China; and more

Data-driven modeling of systemic delay propagation under severe meteorological conditions

The upsetting consequences of weather conditions are well known to any person involved in air transportation. Still the quantification of how these disturbances affect delay propagation and the effectiveness of managers and pilots interventions to prevent possible large-scale system failures needs further attention. In this work, we employ an agent-based data-driven model developed using real flight performance registers for the entire US airport network and focus on the events occurring on October 27 2010 in the United States. A major storm complex that was later called the 2010 Superstorm took place that day. Our model correctly reproduces the evolution of the delay-spreading dynamics. By considering different intervention measures, we can even improve the model predictions getting closer to the real delay data. Our model can thus be of help to managers as a tool to assess different intervention measures in order to diminish the impact of disruptive conditions in the air transport system.Comment: 9 pages, 5 figures. Tenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2013