Golden Gate Airline Aims to Fill Holes in California Air Service

Rising like a phoenix from the ashes of Gem State and Air Pacific, the new carrier hopes to become living proof of the virtues of airline deregulation

Persistence in Airline Accidents

This paper analyses airline accident data from 1927-2006, through fractional integration. It is shown that airline accidents are persistent and (fractionally) cointegrated with airline traffic. There exists a negative relation between air accidents and airline traffic, with the effect of the shocks to that relationship disappearing in the long run. Policy implications are derived for countering accident events.Accidents; airline; Time series; Persistence; Long memory; Cointegration.

The Effects of Airline Behavior on Aircraft Accidents

The purpose of this paper is to study the effects of specific airline business decisions on aircraft accident propensity. Airline safety affects everyone and has large regulatory and policy implications. Existing research has focused largely on three areas: airline financial health, safety and the resulting effects of accidents. I use both Poisson and Negative Binomial models to study two different airline features: low-cost carriers and flight length, and how they relate to the probability of an aircraft accident. Based on results using a Generalized Negative Binomial model, I find statistically significant evidence at the 99% confidence level that a 1-unit increase in the flight length leads to a 0.11% decrease in the number of accidents. I also find statistically significant evidence at the 99% confidence level that when an airline is classified as a low-cost carrier, the number of accidents decreases by 79.16%. These results indicate that a homogenous safety regulation framework is not appropriate for the airline industry with regard to flight length and cost structure

Impact of airline service quality on overall and female passengers' satisfaction : a case study of Tonga's domestic aviation market : a 190.893 (120 credit) research report presented in partial fulfilment of the requirements for the degree of Master of Aviation at Massey University, Palmerston North, New Zealand

The primary objectives of this thesis are to determine the direct impact of airline service quality on passengers’ satisfaction in Tonga’s domestic aviation market. The determinants of airline service quality were identified by using the SERVQUAL dimensions (assurance, empathy, reliability, responsiveness and tangibles) as measurable indicators. A survey was conducted and 205 questionnaires were collected and analysed. Empirical results obtained via the structural equation modelling (SEM) approach revealed that airline service quality has a direct impact on overall and female passengers’ satisfaction. Furthermore, both overall and female passengers were mostly satisfied with the responsiveness dimension. The tangibles dimension was the dimension with the lowest level of satisfaction for overall passengers and the reliability dimension was the dimension with the lowest satisfaction for female passengers. Importantly, the research highlights the different levels of satisfaction among airline passengers in the monopolistic Tongan domestic aviation market. The findings have implications for the airline management

Great Lakes Airline Accident Investigation Report

A Douglas C-54-G, N 30070, operated by Great Lakes Airlines, Inc., made an emergency landing off the runway at the Gage Oklahoma Airport, at 0320 on June 15, 1954. The emergency landing was made because of an uncontrollable fire in the number 3 engine nacelle. There were no injuries to passengers or crew. The aircraft was destroyed by fire

Persistence on airline accidents

This paper analyses airline accidents data from 1927-2006. The fractional integration methodology is adopted. It is shown that airline accidents are persistent and (fractionally) cointegrated with airline traffic. Thus, there exists an equilibrium relation between air accidents and airline traffic, with the effect of the shocks to that relationship disappearing in the long run. Policy implications are derived for countering accidents events.

Airline planning benchmark problems—Part II : passenger groups, utility and demand allocation

This paper is the second of two papers entitled “Airline Planning Benchmark Problems”, aimed at developing benchmark data that can be used to stimulate innovation in airline planning, in particular, in flight schedule design and fleet assignment. The former has, to date, been under-represented in the optimisation literature, due in part to the difficulty of obtaining data that adequately reflects passenger choice, and hence schedule revenue. Revenue models in airline planning optimisation only roughly approximate the passenger decision process. However, there is a growing body of literature giving empirical insights into airline passenger choice. Here we propose a new paradigm for passenger modelling, that enriches our representation of passenger revenue, in a form designed to be useful for optimisation. We divide the market demand into market segments, or passenger groups, according to characteristics that differentiate behaviour in terms of airline product selection. Each passenger group has an origin, destination, size (number of passengers), departure time window, and departure time utility curve, indicating willingness to pay for departure in time sub-windows. Taking as input market demand for each origin–destination pair, we describe a process by which we construct realistic passenger group data, based on the analysis of empirical airline data collected by our industry partner. We give the results of that analysis, and describe 33 benchmark instances produced

TFP growth, change in efficiency, and technological progress in the U. S. airline industry: 1970 to 1981

An overview of the airline industry's early adaptations to deregulation using a best-practice cost function approach; measures cost efficiency and changes in total factor productivity growth for airlines in the 1970s and early 1980s and discusses how these findings relate to individual airline performance.Airlines ; Airline Deregulation Act of 1978