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61	Impacts of weather on aviation delays at O.R. Tambo International Airport, South Africa Peck, Lara 11 1900 (has links) Weather-related delays in the aviation sector will always occur, however, through effective delay management and improved weather forecasting, the impact and duration of delays can be reduced. The research examined the type of weather that caused departure delays, due to adverse weather at the departure station, namely O. R. Tambo International Airport (ORTIA), over the period 2010 to 2013. It was found that the most significant weather that causes such delays are thunderstorms, followed by fog. Other noteworthy elements are rainfall, without the influence of other weather elements, and icing. It was also found that the accuracy of a weather forecast does not impact on the number of departure delays, and thus departure delays due to weather at the departure station are largely unavoidable. However, the length and impact of such delays can be reduced through improved planning. The study highlights that all weather-related delays can be reduced by improved weather forecasts, effective assessment of the weather forecast, and collaborative and timely decision making. A weather impact index system was designed for ORTIA and recommendations for delay reductions are made. / Geography / M. Sc. (Geography) Delays Weather Aviation O.R. Tambo International Airport South Africa Forecasting 551.6365096822 Airports -- United States -- Management Flight delays -- South Africa -- Gauteng Aeronautics -- Safety measures Airports -- Management Probability forecasts (Meteorology) OR Tambo International Airport
62	GIS mapping and analysis of aircraft noise at Cape Town International Airport Von Holdt, Diana (Diana Sheila) 12 1900 (has links) Thesis (MA)--Stellenbosch University, 2003. / ENGLISH ABSTRACT: The noise produced by aircraft during operations around airports represents a senous social, technical, economic and environmental problem which is only going to get worse as air traffic volumes increase. Rapid urbanisation, development encroachment and poor planning in the past have resulted in noisy airport runways being situated too close to residents' living space. Rapid industrial growth and lack of funding exacerbate noise problems in developing countries. Moreover, developing countries and especially South Africa tend to have moderate climates and open-window living, which makes insulation an ineffective solution to the noise problem. This study aims at employing GIS to establish the potential noise exposure of various sensitive land use categories and population groups in the noise-controlled area at Cape Town International Airport. Firstly, options for the demarcation of a noise-controlled area were evaluated. Thereafter, incompatible land uses and priority areas for land use compatibility projects were identified and recommendations made for urban renewal projects for these areas. Lastly, the noise-exposed population were profiled according to vulnerability characteristics and vulnerable groups identified and located. A recommendation was made that Cape Town International Airport set up an interactive map-based website to disseminate information to the public about noise and any other important issues concerning the airport. An Internet GIS application would empower citizens by providing them with a dynamic and interactive tool for improved public participation and a better understanding of the potential environmental and socio-economic effects of the airport. Noise complaints could also be investigated through the website and prompt feedback given to the communities complaining about aircraft noise. At the local community level where people are being annoyed every day and night resulting in negative health effects, the problem of aircraft noise demands urgent attention, and measures should be put in place to reduce vulnerability to noise and improve the overall quality of life of noiseweary residents. Keywords: aircraft noise, noise mapping, noise-controlled area, noise contours, land use compatibility, noise exposure / AFRIKAANSE OPSOMMING: Die geraas veroorsaak deur vliegtuie by lughawens bied ernstige sosiale, tegniese, ekonomiese en omgewingsprobleme, wat net erger gaan raak namate vlugverkeer toeneem. Snelle verstedeliking, ontwikkelings-oorskryding en swak beplanning in die verlede het veroorsaak dat raserige aanloopbane te nabyaan mense se leefruimte gebou is. Vinnige industriële groei en 'n tekort aan befondsing vererger geraasprobleme in ontwikkelende lande. Bowendien het ontwikkelende lande, en veral Suid Afrika, 'n matige klimaat en oop-venster-leefwyse wat isolering 'n oneffektiewe oplossing maak vir die geraasprobleem. Hierdie studie het ten doelom GIS te gebruik om die potensiële geraas blootstelling van sensitiewe grondgebruike en bevolkingsgroepe in die geraas-kontrole area by Kaapstad Internasionale Lughawe vas te stel. Eerstens is opsies vir die afbakening van die geraas-kontrole area geëvalueer. Daaropvolgend IS onversoenbare grondgebruike en prioriteitsareas VIr grondgebruikversoeningsprojekte geïdentifiseer en aanbevelings gemaak vir stedelike vernuwingsprojekte vir hierdie areas. Laastens is 'n profiel daargestel van die geraas-blootgestelde bevolkings volgens kwesbaarheidskenmerke en kwesbare groepe is geïdentifiseer en hulligging aangedui. 'n Voorstel is gemaak dat Kaapstad Internasionale Lughawe 'n interaktiewe kaart-gebaseerde webwerf in werking moet stelom inligting oor geraas- en ander belangrike probleme in verband met die lughawe beskikbaar te stel vir die publiek en ander belanghebbendes. 'n Internet-GIS toepassing sal mense bemagtig deur hulle te voorsien van 'n dinamiese en interaktiewe meganisme wat sal lei tot beter gemeenskapsdeelname en ook 'n beter begrip van die potensiële omgewings- en sosio-ekonomiese uitwerking van die lughawe. Klagte oor geraas kan ook deur die webwerf hanteer en ondersoek word, en verder hulp verleen word deur vinnige terugvoering aan die gemeenskap wat die klagtes gelê het. Op plaaslike gemeenskapsvlak, waar mense elke dag en nag geïrriteerd raak en waar dit dan kan lei tot negatiewe gesondheidsinvloed, sal die probleem van vliegtuiggeraas dringend aangespreek moet word, en stappe geneem word ten einde kwesbaarheid van inwoners teenoor vliegtuiggeraas te verminder. Dit sal dan lei tot die algehele verbetering van die lewensgehalte van geraas-moeë Inwoners. Sleutelwoorde: vliegtuiggeraas, geraaskartering. geraas-kontrole area, geraaskontoere, grondgebruik versoenbaarheid, geraas blootstelling Cape Town International Airport Geographic information systems
63	Architektura ve službách Československých aerolinií. Interiéry reprezentačních cestovních kanceláří ČSA a letiště Praha-Ruzyně v 60. letech / Architekture and Czechoslovak Airlines (ČSA). Interiors of ČSA Offices and Prague Ruzyně International Airport in the Sixties Papežová, Petra January 2017 (has links) In the 1960s Czechoslovak Airlines (ČSA) set up offices in the countries to which they operated regular flights. ČSA branches abroad were to match high standards of other airlines premises. In those years travelling by air was still regarded a luxury. ČSA had to take these facts into consideration. The same group of architects, designers and artists who participated in the design of ČSA branch offices took also part in the outline of the new Prague Ruzyně international airport checking-in hall. This thesis aims to depict some former, now vanished, ČSA premises. In the 1990s ČSA closed down some offices abroad and the Prague Ruzyně international airport checking- in hall (now Terminal 1) was completely reconstructed. Press and other articles, archive documents, monographies as well as information provided directly by architects, designers and artists or their relatives were used in order to describe some previous ČSA publicly accessible premises and works of art that they included. On the basis of ascertained facts, it is obvious that in the 1960s ČSA offices abroad were not only to promote the good company reputation but further fulfilled a political role to create a positive picture of the Czechoslovak Republic. ČSA offices were designed by groups around Karel Filsak and Jan Šrámek. Their signatures can...
64	Highway Development Decision-Making Under Uncertainty: Analysis, Critique and Advancement El-Khatib, Mayar January 2010 (has links) While decision-making under uncertainty is a major universal problem, its implications in the field of transportation systems are especially enormous; where the benefits of right decisions are tremendous, the consequences of wrong ones are potentially disastrous. In the realm of highway systems, decisions related to the highway configuration (number of lanes, right of way, etc.) need to incorporate both the traffic demand and land price uncertainties. In the literature, these uncertainties have generally been modeled using the Geometric Brownian Motion (GBM) process, which has been used extensively in modeling many other real life phenomena. But few scholars, including those who used the GBM in highway configuration decisions, have offered any rigorous justification for the use of this model. This thesis attempts to offer a detailed analysis of various aspects of transportation systems in relation to decision-making. It reveals some general insights as well as a new concept that extends the notion of opportunity cost to situations where wrong decisions could be made. Claiming deficiency of the GBM model, it also introduces a new formulation that utilizes a large and flexible parametric family of jump models (i.e., Lévy processes). To validate this claim, data related to traffic demand and land prices were collected and analyzed to reveal that their distributions, heavy-tailed and asymmetric, do not match well with the GBM model. As a remedy, this research used the Merton, Kou, and negative inverse Gaussian Lévy processes as possible alternatives. Though the results show indifference in relation to final decisions among the models, mathematically, they improve the precision of uncertainty models and the decision-making process. This furthers the quest for optimality in highway projects and beyond. highway development decision making under uncertainty real options jump processes infinitely divisible distributions Lévy processes measure theory characteristic function characteristic exponent Lévy jump measure probability measure cádlág stochastic process Wiener process Poisson process compound Poisson process finite activity models jump diffusion models Merton model Gaussian jump process Kou model double exponential jump process leptokurtic volatility smile infinite activity models pure jumps process generalized hyperbolic model modified Bessel function negative inverse Gaussian model geometric Brownian motion model log-normal distribution model normality assumption heavy-tailed distribution asymmetric distribution quantile-quantile plot Rydberg algorithm parameter calibration moments cummulants sum of squares Monte Carlo simulation least-squares regression backward dynamic programming discrete-time Markov chain land price traffic demand highway service quality index data collection traffic volume Annual Average Daily Traffic Ontario Ministry of Transportation Land Registry Office Freedom of Information Act seasonality value of transportation types of transportation systems importance of highway systems cost of wrong decisions monetary cost private sector cost human cost land expropriation environmental cost irreversibility cost factor time cost factor political cost factor opportunity cost opportunity cost of wrong decisions economic cost of wrong decisions economic cost of mis-estimation economic profit of wrong decisions cost of inaction price of making right decisions scope of decisions rehabilitation decision land acquisition decision expansion decision uncertainty modeling land acquisition cost expropriation cost construction cost material cost Montréal-Mirabel International Airport Pickering Airport 407 Express Toll Route Highway 407 Statistics
65	Highway Development Decision-Making Under Uncertainty: Analysis, Critique and Advancement El-Khatib, Mayar January 2010 (has links) While decision-making under uncertainty is a major universal problem, its implications in the field of transportation systems are especially enormous; where the benefits of right decisions are tremendous, the consequences of wrong ones are potentially disastrous. In the realm of highway systems, decisions related to the highway configuration (number of lanes, right of way, etc.) need to incorporate both the traffic demand and land price uncertainties. In the literature, these uncertainties have generally been modeled using the Geometric Brownian Motion (GBM) process, which has been used extensively in modeling many other real life phenomena. But few scholars, including those who used the GBM in highway configuration decisions, have offered any rigorous justification for the use of this model. This thesis attempts to offer a detailed analysis of various aspects of transportation systems in relation to decision-making. It reveals some general insights as well as a new concept that extends the notion of opportunity cost to situations where wrong decisions could be made. Claiming deficiency of the GBM model, it also introduces a new formulation that utilizes a large and flexible parametric family of jump models (i.e., Lévy processes). To validate this claim, data related to traffic demand and land prices were collected and analyzed to reveal that their distributions, heavy-tailed and asymmetric, do not match well with the GBM model. As a remedy, this research used the Merton, Kou, and negative inverse Gaussian Lévy processes as possible alternatives. Though the results show indifference in relation to final decisions among the models, mathematically, they improve the precision of uncertainty models and the decision-making process. This furthers the quest for optimality in highway projects and beyond. highway development decision making under uncertainty real options jump processes infinitely divisible distributions Lévy processes measure theory characteristic function characteristic exponent Lévy jump measure probability measure cádlág stochastic process Wiener process Poisson process compound Poisson process finite activity models jump diffusion models Merton model Gaussian jump process Kou model double exponential jump process leptokurtic volatility smile infinite activity models pure jumps process generalized hyperbolic model modified Bessel function negative inverse Gaussian model geometric Brownian motion model log-normal distribution model normality assumption heavy-tailed distribution asymmetric distribution quantile-quantile plot Rydberg algorithm parameter calibration moments cummulants sum of squares Monte Carlo simulation least-squares regression backward dynamic programming discrete-time Markov chain land price traffic demand highway service quality index data collection traffic volume Annual Average Daily Traffic Ontario Ministry of Transportation Land Registry Office Freedom of Information Act seasonality value of transportation types of transportation systems importance of highway systems cost of wrong decisions monetary cost private sector cost human cost land expropriation environmental cost irreversibility cost factor time cost factor political cost factor opportunity cost opportunity cost of wrong decisions economic cost of wrong decisions economic cost of mis-estimation economic profit of wrong decisions cost of inaction price of making right decisions scope of decisions rehabilitation decision land acquisition decision expansion decision uncertainty modeling land acquisition cost expropriation cost construction cost material cost Montréal-Mirabel International Airport Pickering Airport 407 Express Toll Route Highway 407 Statistics

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