Dissertation (DPhil)--University of Stellenbosch, 2007. / Bibliography. Also available via the Internet.

Thesis (M. Env. St.)--University of Adelaide, 1984. / Includes bibliographical references.

Thesis (Ph. D.)--University of Sydney, 2003. / Title from title screen (viewed Apr. 29, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Public Health, Faculty of Medicine. Includes bibliography. Also available in print form.

The main content of this master´s thesis is Airport Operations Management and it´s application on regional airport Brno – Tuřany. The study analyses common airport operations at the airports and compares it with actual situation at Brno airport. Focusing on comparsion, new upgrading or suggestions for increasing the operations are made. The part of thesis encloses also an approach to contemporary issues in greening the airports and air traffic.

No description available.

The identification of the distribution of air passengers among airports is an important task of the airport planner. It would be useful to understand how trip makers choose among competing airports. The ultimate purpose of this study is to research into , passengers' choice of airport so that the airport system can be planned on a more reliable basis. The choice of airport of passengers originating from central England in 1975 is explained by constructing multinomial disaggregate behavioural models of logit form. The data used for model calibration, were collected during two Civil Aviation Authority surveys. This work makes contribution to: -The definition of the major determinants of airport choice, -The responsiveness of passengers, choice to changes in these determinants, - The policy implications for the regional airports - The transferability of the model in time and space. The method of analysis has been selected after outlining the potential advantages and shortcomings of logit and probit models and after a test on the validity of the Independence from Irrelevant Alternatives (I.I.A.) property has been carried out. The results show that the multinomial logit model used for the airport choice is good in terms of its explanatory ability and successful in predicting the choices actually made. Travel time to the airport, frequency of flights and air fare are found to be decisive factors for a passenger to select a given airport but are not of equal importance. By influencing-these factors, it appears that there exists room for the transport planner to shift traffic from one airport to another to have an economically and/or environmentally efficient airport system. In their original form, the models have been tested and found not to be transferable to the London area in 1978. However, after a Bayesian updating procedure was applied, the business and inclusive tours models were transferable. The leisure model was not statistically transferable but had a good predictive ability while the domestic model was not transferable. Finally, subsequent directions ·for further research are outlined.

A General System Planning Methodology (G.S.P.M.) has been proposed in this dissertation with the objective to promote planning practices improvements regardless to the characteristics of the planning context and to the nature of the planning field where it may be applied. The G.S.P.M. is a normative planning methodology based on procedural theory of planning, and it is addressed mainly to the multi-disciplinary planning actors dealing with the multi-objective planning context. The G.S.P.M. has been given a "procedural framework" supported by two Axiomatic Theories, and three objectives of planning have been selected to express simultaneously the G.S.P.M. effectiveness and the aimed Planning Improvement, and they are; Planning Adequacy, Planning Flexibility and Planning Continuity. The National Airport System Planning (N.A.S.P.) has been selected to be the planning field test for the G.S.P.M. and two different planning contexts have been selected to be respectively, the investigation field and the application field for the G.S.P.M. test. A sample of five developed countries have been chosen to represent the investigation field as follows; Norway, U.S.A., United Kingdom, Federal Republic of Germany, and Canada. A sample of four Middle Income and Economically Active Countries(M.I.E.A.C.) have been chosen as the application field, and Brazil has been selected the prime country with three further Brazilian Scenarios designed with the help of Developmental Scenarios Writing to represent that sample. A Multiple Cross System Analysis Matrix(M.C.S.A.M.) has been designed to be an instrument for the G.S.P.M. operational process within the application test in the N.A.S.P. of the two sample of countries. The M.C.S.A.M. is a bidimensional assessment matrix supported by planning theories and operated by multi-disciplinary planning actors to select the preferred aspects of planning which have been used to identify the characteristics of the planning context and planning environment. The M.C.S.A.M. has been designed to select also the preferred planning factors and goals which may represent the potentially most effective planning factors and goals within the given planning context. A Developed Countries Realist N.A.S.P. Methodology Model has been identified within the investigation field which would express the common N.A.S.P. framework within the developed countries, representing the "emphatical understanding" from which we supposed to learn their planning practices. A M.I.E.A.C. N.A.S.P. Realist Methodology Model has been identified within the application field which would express the common N.A.S.P. framework within the M.I.E.A. Countries. This realist model which has been obtained from the Brazilian Scenarios has been also called the Brazilian Planned Scenario N.A.S.P. which is supposed to be the ideal planning context hypothetically designed to improve the actual Brazilian N.A.S.P. practices, as a planning exercise of "predictable understanding". The comparative analyses of the two N.A.S.P. Realist Methodology Models has defined a Tailoring Process of Planning where the adequate planning method can be identified with the appropriate level of technology to the identified planning context.

Nowadays, the aviation technology has become much reliable than ever, and air transportation is by far the best choice for long distance transportation. Airports serve as the flight nodes for air transportation, and the construction and development of airports are often considered as the most important development plans of the entire country or the local government. The huge amount of cost for constructing an airport and the long (usually more than fifty years) life cycle demand a comprehensive plan in the initial stage of an airport construction. Underestimating the transportation demand of the airport may make it difficult to extend the airport in the future and affect its subsequent operations. On the other hand, overestimating the transportation demand of the airport may result in over-investment and poor operation performance. Around the world, airports are often considered as enterprises. The governments and airport administrators have begun to pay attention to the operation performance of airports and adopt every indicator of the conduct in order to carry on the performance assessment. By doing so, they hope to reduce the operating cost, increase profit, and enlarge their competition advantages. Of the indicators of the operation performance, yearly enplanement has widely been considered as a key indicator. This research collected the data pertaining to commercial airports in the mainland of the United States whose yearly enplanements are over 2,500 passengers. It employs statistical method and decision tree to analyse the relationship between the population change of the metropolitan (population, density of population, population change, etc.) and the yearly enplanement change of airports. Also, we discuss the relationship among the number of airports in a metropolitan, the distance from an airport to the closest business center, the distance from the airport to another nearest airport, and the yearly enplanement change of the airport.

There is no abstract available for this dissertation.

Thesis (M. Sc.)--University of Hong Kong, 2000. / Cover title. Includes bibliographical references.