DOCSLIB.ORG

Analyse Et Sélection De Nouveaux Marchés Assia Kamal-Idrissi

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Analyse Et Sélection De Nouveaux Marchés Assia Kamal-Idrissi Optimisation des réseaux aériens : analyse et sélection de nouveaux marchés Assia Kamal-Idrissi To cite this version: Assia Kamal-Idrissi. Optimisation des réseaux aériens : analyse et sélection de nouveaux marchés. Algorithme et structure de données [cs.DS]. Université Côte d’Azur, 2020. Français. NNT : 2020COAZ4041. tel-03177526 HAL Id: tel-03177526 https://tel.archives-ouvertes.fr/tel-03177526 Submitted on 23 Mar 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Optimisation du r´eseau a´erien : analyse et s´election de nouveaux march´es Assia KAMAL-IDRISSI Laboratoire d’Informatique, Signaux et Syst`emes de Sophia Antipolis (I3S) UMR7271 UNS CNRS Pr´esent´ee en vue de l’obtention du Devant le jury, compos´ede : grade de docteur en Informatique d’Universit´eCˆote d’Azur Marie-Jos´eHuguet, PR, Institut National des Sciences Dirig´ee par : Appliqu´ees de Toulouse Jean-Charles REGIN Xavier Lorca, PR, Institut Mines-T´el´ecom d’Albi Jean-Charles R´egin, PR, Universit´eCˆote d’Azur Co-encadr´ee par : Arnaud Malapert, MCF, Universit´eCˆote d’Azur Arnaud MALAPERT Soutenue le : 19 octobre 2020 Optimisation du r´eseau a´erien : analyse et s´election de nouveaux march´es Composition du jury : Rapporteurs Marie-Jos´eHuguet, Professeure des Universit´es, Institut National des Sciences Appliqu´ees Xavier Lorca, Professeur des Universit´es, Institut Mines-T´el´ecom Examinateurs Jean-charles R´egin, Professeur des Universit´es, Universit´eCˆote d’Azur Arnaud Malapert, Maˆıtre de conf´erences, Universit´eCˆote d’Azur Invit´e Carine F´ed`ele, Maˆıtre de conf´erences, Universit´eCˆote d’Azur Christophe Imbert, Pr´esident, Milanamos R´emi Jolin, Directeur technique, Milanamos A mes chers parents......`amon cher mari......`ames petits anges A2 : Ahmed-Ali et Aline......je d´edie ce travail ♥ Remerciements En premier lieu, je remercie le très miséricordieux et TOUT-PUISSANT “ALLAH” qui m’a donné la force et l’audace pour compléter cette thèse. Je tiens à remercier Pr Marie-José Huguet et Pr Xavier Lorca, qui m’ont fait l’honneur d’être les rapporteurs de ces travaux de thèse. Je souhaite exprimer toute ma gratitude à mon directeur de thèse, Pr Jean-Charles Régin pour avoir accepté de diriger ce travail, pour la qualité de l’encadrement et du soutien qu’il m’a accordés pendant cette thèse. Mes plus grands remerciements vont à mon encadrant, Arnaud Malapert, avec qui j’ai eu la chance de travailler pendant ma thèse. Arnaud m’a appris énormément d’un point de vue scientifique, parfois dans des domaines que je n’aurais jamais pensé explorer. Et plus que des connaissances techniques, il m’a inculqué une véritable démarche scientifique, une manière de penser. Plus personnellement, je le remercie grandement pour ses conseils, ses encouragements, et pour les nombreux conseils et les riches discussions que nous avons eues ensemble avec Carine Fidèle. Vous avez fait de ces trois années et demi une bien belle expérience. Carine, je ne te remercierai jamais assez pour tout le soutien que tu m’as donné durant les dernières années de cette thèse sur le plan scientifique aussi bien que sur le plan humain. Tu n’es pas uniquement une co-encadrante pour ma thèse, tu es une amie... Je remercie également Christophe Imbert pour m’avoir accueillie à Milanamos et pour avoir encouragé l’esprit d’innovation à travers ce travail de thèse. Je remercie également Rémi Jolin pour son aide et ses conseils, sans oublier Valentin qui, bien que tôt parti de l’entreprise, m’a beaucoup aidé au début de la thèse. Chez Milanamos, j’ai également côtoyé plusieurs autres personnes auprès desquelles j’ai beaucoup appris sur le secteur aérien. Merci donc à Christophe Ritter, Natalya et Stéphane. Un grand merci à tous les amis et membres du Laboratoire I3S qui m’ont chaleureusement ac- cueilli et m’ont permis de travailler dans une ambiance aussi conviviale. Merci tout spécialement à Sandra, Rémi, Nico, Lætitia, Lætitia 2, Samvel, Oussama, Guillaume, Heytem, Ophélie, Ingrid, Piotr, Sara et Marie pour son aide et sa bonne volonté. C’était un plaisir pour moi de vous avoir connus. Le meilleur est pour la fin dit-on. Je suis et je serai toujours reconnaissante à mes parents sans qui je n’en serai pas là aujourd’hui. Maman, papa, je vous remercie pour votre amour et votre soutien inconditionnel tout au long de cette carrière. Je vous aime. Merci à ceux que j’aime : mes beaux-parents, mes sœurs, mes neveux et mes nièces d’avoir toujours cru en moi. Sans vous tous, ce travail n’aurait certainement pas vu le jour. i Enfin, tous les mots ne suffiront pas pour remercier la personne qui m’a le plus encouragé à faire cette thèse, qui a toujours cru en moi, qui a été présente à mes côtés dans les hauts et les bas, dans les joies et les tristesses, qui m’a appris à prendre du recul et à faire la part des choses, mon cher mari Mohamed El Afouani...Merci pour ton soutien inconditionnel, ton aide, tes encouragements, tes conseils et tes critiques constructives tout au long de la thèse....Cette thèse est aussi la tienne... Je dédie également la thèse à mes adorables enfants Ahmed-Ali et Aline qui ont supporté mon absence et mes sauts d’humeur... Mes trésors, un jour vous lirez peut être la thèse de votre maman et vous en serez fiers... Résumé Les problèmes rencontrés dans l’industrie aérienne sont divers et compliqués. Leur résolution réduit les coûts et maximise les revenus tout en améliorant la qualité de service, par exemple, en capturant de nouveaux passagers sur des vols existants ou sur de nouveaux marchés. La sélection des nouveaux marchés permet de définir la structure du réseau à opérer, et d’estimer le flux des passagers, leurs choix d’itinéraires ainsi que les revenus et les coûts impliqués par ces décisions. Nos travaux concernent l’amélioration du calculateur de parts de marché dans l’application PlanetOptim de la startup Milanamos. Cet outil permet aux décideurs des aéroports et des compagnies aériennes d’analyser l’historique des données et de simuler des marchés afin de trouver une opportunité économique. Ces travaux sont orientés vers les niveaux de décision stratégiques et tactiques. Grâce à une analyse poussée des données, le réseau aérien a pu être modélisé par un graphe indépendant du temps stocké dans une base de données orientée graphe Neo4j. Tout d’abord, nous avons défini le Flight Radius Problem, dans le cadre de la sélection des marchés, dont la résolution permet de déterminer un sous-réseau centré autour d’un vol pour lequel les parts de marchés du vol sont non négligeables. Plusieurs méthodes de résolution ont été proposées basées sur des requêtes ou des algorithmes de plus courts chemins couplés à des techniques d’accélération et de parallélisme. Nos algorithmes identifient rapidement un ensemble de marchés prometteurs centré sur un vol. Ensuite, pour accélérer le calcul des parts des marchés, nous avons proposé une nouvelle méthode basée sur le modèle logit. L’intégration de la théorie des graphes dans les bases de données ouvre de nouvelles perspectives pour l’analyse et la compréhension de grands réseaux. Mots-clés : transport aérien, choix d’itinéraire, graphe indépendant du temps, base de données orientée graphe, plus court chemin, parallélisme, logit. Abstract In the airline industry, problems are various and complicated. Solving these problems aims at reducing costs and maximizing revenues. Revenues can be increased while improving the qual- ity of service. For example, one way is to catch new passengers on existing flight connections or on new markets. The selection of new markets consists in determining network structure to operate, and to estimate passengers flow, their choice of itineraries as well as incomes and costs incurred by these decisions. Our research is about improving market planner engine. Milanamos develops an application for the analysis and simulation of markets intended for airports and airlines. It offers its customers a decision-making tool to analyze historical data and to simulate markets in order to find an economic opportunity. This project takes place earlier in the decision process. Thanks to a thorough data analysis, the air transport network could be modelized as a time-independent graph and stored in the Neo4j graph database. The first step consists in defining the Flight Radius problem which resolution allows to determine a sub-network centered around a flight for which market shares of the flight are meaningful. Several methods have been proposed based on queries or on shortest path algorithms combined with acceleration and parallelism techniques. Our algorithms identify some new markets for a flight. The second step consists in calculating market shares, a method has been proposed based on logit model to reduce a combinatorial on itineraries to evaluate. Combining graph theory with databases offers new opportunities for analyzing and studying large networks. Keywords: air transportation, itinerary choice, time-independant graph, graph database, shortest- path, parallelism, logit. Table des matières 1 Introduction 1 1.1 Analyse du problème industriel et scientifique ................... 3 1.1.1 Contexte industriel ............................. 3 1.1.2 Problématique ............................... 3 1.2 Objectifs de la thèse ................................. 4 1.2.1 Objectifs généraux ............................
Load more

Recommended publications
  • Scheme of Work Cambridge O Level Travel & Tourism 7096
    Scheme of Work Cambridge O Level Travel & Tourism 7096 For examination from 2017 Version 2 In order to help us develop the highest quality resources, we are undertaking a continuous programme of review; not only to measure the success of our resources but also to highlight areas for improvement and to identify new development needs. We invite you to complete our survey by visiting the website below. Your comments on the quality and relevance of our resources are very important to us. www.surveymonkey.co.uk/r/GL6ZNJB Would you like to become a Cambridge consultant and help us develop support materials? Please follow the link below to register your interest. www.cambridgeinternational.org/cambridge-for/teachers/teacherconsultants/ Copyright © UCLES July 2019 Cambridge Assessment International Education is part of the Cambridge Assessment Group. Cambridge Assessment is the brand name of the University of Cambridge Local Examinations Syndicate (UCLES), which itself is a department of the University of Cambridge. UCLES retains the copyright on all its publications. Registered Centres are permitted to copy material from this booklet for their own internal use. However, we cannot give permission to Centres to photocopy any material that is acknowledged to a third party, even for internal use within a Centre. Contents Contents .....................................................................................................................................................................................................................................................
    [Show full text]
  • 2019 Mega Hubs 2019
    September 2019 MEGA HUBS 2019 MAKE SMARTER MOVES CONTENTS MEGAHUBS DECODED About Megahubs 2019 3 The OAG Megahubs Index 2019 reveals the 50 most internationally connected airports in the world and the 25 most domestically connected airports in Top 50 Global Megahubs 4 the U.S. The index is generated by comparing the number of scheduled Top 25 Low-Cost Megahubs 8 connections to and from international flights with the number of destinations served from the airport. The Megahubs Index harnesses the world’s most Top 25 US Domestic Megahubs 10 comprehensive schedules database to dynamically build connections Top Megahubs by Region 12 through a dedicated analytics platform, Connections Analyser, and is further enhanced by OAG’s MCT Exception Table. – Asia Pacific 12 – Europe 12 In an increasingly competitive landscape, providing measures to enable comparison between leading international airports is key. The OAG Megahubs Index measures the effectiveness of the world’s leading international hubs as connecting points, – Middle East and Africa 13 globally and regionally, and provides a platform for comparison for these international airports. – North America 13 The OAG Megahubs Index 2019 presents connectivity data as a series of tables based on regional location and airline type. The index includes the dominant carrier at each hub and the share of flights operated by that carrier. – Latin America 13 Methodology Glossary of Codes 14 OAG has calculated the total number of all possible connections between inbound and outbound flights within a six-hour window, where either the inbound, outbound, or both flights are international, at the largest 200 airports in the world (based on total scheduled seats in July 2019) and at the largest 200 international airports (based on total international scheduled seats in July 2019) on the busiest day for global aviation over the 12 months to July 2019.
    [Show full text]
  • Facts & Figures & Figures
    OCTOBER 2019 FACTS & FIGURES & FIGURES THE STAR ALLIANCE NETWORK RADAR The Star Alliance network was created in 1997 to better meet the needs of the frequent international traveller. MANAGEMENT INFORMATION Combined Total of the current Star Alliance member airlines: FOR ALLIANCE EXECUTIVES Total revenue: 179.04 BUSD Revenue Passenger 1,739,41 bn Km: Daily departures: More than Annual Passengers: 762,27 m 19,000 Countries served: 195 Number of employees: 431,500 Airports served: Over 1,300 Fleet: 5,013 Lounges: More than 1,000 MEMBER AIRLINES Aegean Airlines is Greece’s largest airline providing at its inception in 1999 until today, full service, premium quality short and medium haul services. In 2013, AEGEAN acquired Olympic Air and through the synergies obtained, network, fleet and passenger numbers expanded fast. The Group welcomed 14m passengers onboard its flights in 2018. The Company has been honored with the Skytrax World Airline award, as the best European regional airline in 2018. This was the 9th time AEGEAN received the relevant award. Among other distinctions, AEGEAN captured the 5th place, in the world's 20 best airlines list (outside the U.S.) in 2018 Readers' Choice Awards survey of Condé Nast Traveler. In June 2018 AEGEAN signed a Purchase Agreement with Airbus, for the order of up to 42 new generation aircraft of the 1 MAY 2019 FACTS & FIGURES A320neo family and plans to place additional orders with lessors for up to 20 new A/C of the A320neo family. For more information please visit www.aegeanair.com. Total revenue: USD 1.10 bn Revenue Passenger Km: 11.92 m Daily departures: 139 Annual Passengers: 7.19 m Countries served: 44 Number of employees: 2,498 Airports served: 134 Joined Star Alliance: June 2010 Fleet size: 49 Aircraft Types: A321 – 200, A320 – 200, A319 – 200 Hub Airport: Athens Airport bases: Thessaloniki, Heraklion, Rhodes, Kalamata, Chania, Larnaka Current as of: 14 MAY 19 Air Canada is Canada's largest domestic and international airline serving nearly 220 airports on six continents.
    [Show full text]
  • RSCAS 2018/44 Can Regulation Improve Service Quality? Evidence from European Air Passenger Rights
    RSCAS 2018/44 Robert Schuman Centre for Advanced Studies Florence School of Regulation Can Regulation Improve Service Quality? Evidence from European Air Passenger Rights Hinnerk Gnutzmann and Piotr Śpiewanowski European University Institute Robert Schuman Centre for Advanced Studies Florence School of Regulation Can Regulation Improve Service Quality? Evidence from European Air Passenger Rights Hinnerk Gnutzmann and Piotr Śpiewanowski EUI Working Paper RSCAS 2018/44 This text may be downloaded only for personal research purposes. Additional reproduction for other purposes, whether in hard copies or electronically, requires the consent of the author(s), editor(s). If cited or quoted, reference should be made to the full name of the author(s), editor(s), the title, the working paper, or other series, the year and the publisher. ISSN 1028-3625 © Hinnerk Gnutzmann and Piotr Śpiewanowski, 2018 Printed in Italy, September 2018 European University Institute Badia Fiesolana I – 50014 San Domenico di Fiesole (FI) Italy www.eui.eu/RSCAS/Publications/ www.eui.eu cadmus.eui.eu Robert Schuman Centre for Advanced Studies The Robert Schuman Centre for Advanced Studies, created in 1992 and currently directed by Professor Brigid Laffan, aims to develop inter-disciplinary and comparative research on the major issues facing the process of European integration, European societies and Europe’s place in 21st century global politics. The Centre is home to a large post-doctoral programme and hosts major research programmes, projects and data sets, in addition to a range of working groups and ad hoc initiatives. The research agenda is organised around a set of core themes and is continuously evolving, reflecting the changing agenda of European integration, the expanding membership of the European Union, developments in Europe’s neighbourhood and the wider world.
    [Show full text]
  • The Impacts of Globalisation on International Air Transport Activity
    Global Forum on Transport and Environment in a Globalising World 10-12 November 2008, Guadalajara, Mexico The Impacts of Globalisation on International Air Transport A ctivity Past trends and future perspectives Ken Button, School of George Mason University, USA NOTE FROM THE SECRETARIAT This paper was prepared by Prof. Ken Button of School of George Mason University, USA, as a contribution to the OECD/ITF Global Forum on Transport and Environment in a Globalising World that will be held 10-12 November 2008 in Guadalajara, Mexico. The paper discusses the impacts of increased globalisation on international air traffic activity – past trends and future perspectives. 2 TABLE OF CONTENTS NOTE FROM THE SECRETARIAT ............................................................................................................. 2 THE IMPACT OF GLOBALIZATION ON INTERNATIONAL AIR TRANSPORT ACTIVITY - PAST TRENDS AND FUTURE PERSPECTIVE .................................................................................................... 5 1. Introduction .......................................................................................................................................... 5 2. Globalization and internationalization .................................................................................................. 5 3. The Basic Features of International Air Transportation ....................................................................... 6 3.1 Historical perspective .................................................................................................................
    [Show full text]
  • An Effective Response to Covid-19 Impacts on Africa's
    Preliminary Draft AN EFFECTIVE RESPONSE TO COVID-19 IMPACTS ON AFRICA’S AVIATION SECTOR Draft Background Paper November 2020 Preliminary Draft Disclaimer This document has been produced with the aim of underpinning and stimulating the debate during the the High-level Conference to build consensus on a coordinated approach to restarting and rebuilding the African Aviation industry. The sources consulted at the document production are mostly public and on-line. The document also incorporates a preliminary analysis based on aviation sector databases. Therefore, the results presented below should be not be considered as definitive but rather as inputs to enrich the discussion among the representative stakeholders of the aviation sector. The different insights obtained during the High-Level Conference alongside the ongoing complementary analysis will enrich the final version of this document, which will be distributed in due course. African aviation recovery post Covid-19 1 Preliminary Draft Table of Contents 1 Assessment of the COVID-19 pandemic impact .........................................................................................4 1.1 Global impact of the Covid-19 in the aviation sector ............................................................................................. 4 1.2 The impact of the Covid-19 in Africa .............................................................................................................................. 6 1.2.1 Overall impact of the pandemic in the African aviation industry ........................................................
    [Show full text]
  • Terminal Area Forecast Fiscal Years 2014-2040
    Teminal Area Forecast Summary Fiscal Years 2014 - 2040 OK 15-0814 Preface This publication provides aviation data users with summary historical and forecast statistics on passenger demand and aviation activity at U.S. airports. The summary level forecasts are based on individual airport projections. The Terminal Area Forecast (TAF) includes forecasts for active airports in the National Plan of Integrated Airport Systems (NPIAS). The Federal Aviation Administration’s (FAA) Forecast and Performance Analysis Division, Office of Aviation Policy and Plans, develops the TAF. As its primary input, the TAF initially used the national forecasts of aviation activity contained in FAA Aerospace Forecasts, Fiscal Years 2014-2034. The final TAF considers the forecasts and assumptions contained in FAA Aerospace Forecasts, Fiscal Years 2015-2035. Beginning March, 2015 the tables for the national forecasts can be found at: http://www.faa.gov/about/office_org/headquarters_offices/apl/aviation_forecasts/ aerospace _forecasts/2015-2035/. The TAF is available on the Internet. The TAF model and TAF database can be accessed at: http://www.faa.gov/about/office _org/headquarters_offices/apl/aviation_forecasts/. The TAF model allows users to create their own forecast scenarios. It contains a query data application that allows the public to access and print historical (1990 to 2013) and forecast (2014 to 2040) aviation activity data by individual airport, state, or FAA region. The FAA welcomes public comment on the forecasts, as well as suggestions for improving the usefulness of the TAF. Roger Schaufele, Jr. Manager Forecast and Performance Analysis Division Office of Aviation Policy and Plans i Acknowledgements This document was prepared by the Forecast and Performance Analysis Division of the FAA Office of Aviation Policy and Plans under the direction of Roger Schaufele, Manager, Forecast and Performance Analysis Division.
    [Show full text]
  • Annual Report 2014-2015 Content
    Annual report 2014-2015 Content Overview 04 Chairman's letter 05 Board of Directors EGYPTAIR's 06 Group Corporate Structure Highlights Financial Review 07 Portfolio Nutshell 09 Executive Summary 17 Subsidiaries Financial Results 11 2015/16 Highlights 27 Financial Consolidated Results 12 Quality in Practice 13 Human Resources 14 Signposts of The Year Performance Review 30 Fleet Management 33 Alliances 91 Corporate Social 36 Training Center & IT Responsibilities 42 Subsidiaries performance 04 Chairman's letter 05 Board of Directors 06 Group Corporate Structure 07 Portfolio Nutshell Overview Chairman's letter Dear valued stakeholders While sectors evolve and economies change, we adapt and our business last. EGYPTAIR Holding strives to attain success in ways that reflect integrity of the people we invest in. We continue to seek new opportunities with a focus on rebalancing the group portfolio. Thus, we stepped towards implementing a major restructuring plan, which includes modernizing the fleet, developing the airlines’ network, and following a cost-reduction plan. Throughout 2016, EGYPTAIR faced various challenges that impacted the operating and financial performance of the group. Looking at this year’s (2015/2016) figures in context of the liquidity challenges the company achieved total revenue 17.912 billion. As for Revenue Passenger Km, it hit 17.442 billion with an annual total of 8.51m. We operate 220 daily departures, serving 72 airports in 47 countries. Rather than aiming directly for growth we are currently going through restructuring and implementing a turnaround strategy to ensure the right resources, processes and plans are in place to optimize areas as ( Pricing and revenue management, Network planning, Crew management,…) Fleet renewal plan has been conducted aiming to yield significant economies in terms of fuel and maintenance.
    [Show full text]
  • RCED-91-101 Airline Competition
    GAO April I!f!I 1 AIRLINE COMPETITION Effects of Airline Market Concentration and Barriers to Entry on Airfares - 143865 ___I--__... ..-.__ __.- ._.._.. ._._ ...-.__ .-.. I- --.-..__..-.___ -_.._-.- .^...._ _.__- .._.. _- ___. -I-~ -~~- United States General Accounting Office GAO Washington, D.C. 20648 Resources, Community, and Economic Development Division B-242870 April 26, 1991 The Honorable Jack Brooks Chairman, Committee on the Judiciary House of Representatives The Honorable JamesL. Oberstar Chairman, Subcommitteeon Aviation Committee on Public Works and Transportation House of Representatives The Honorable John C. Danforth Ranking Minority Member Committee on Commerce,Science, and Transportation United States Senate Rising fares on certain routes and a wave of mergers and bankruptcies have raised concernsthat the airline industry has becomeless competi- tive than envisioned when the Airline Deregulation Act of 1978 was passed.This report is one in a series of GAO reviews on competition in the nation’s airline industry. (SeeRelated GAO Products.) In an earlier report, we identified the presenceof factors that inhibit airlines from , entering a market, often called “barriers to entry,” and discussedtheir potential effects on competition.1This report presents estimates of how several other factors, such as an airline’s market share and airport con- gestion, as well as barriers to entry, affect air fares. It also discussesthe policy implications of our analysis. To conduct this analysis, we developed an econometricmodel that exam- ines how several competitive conditions influence an airline’s fare and market share on a route. The model also includes other factors, such as distance and traffic volume, that were consideredlikely to influence fares and market shares.
    [Show full text]
  • Fiscal Years 2015-2040
    Preface This publication provides aviation data users with summary historical and forecast statistics on passenger demand and aviation activity at U.S. airports. The summary level forecasts are based on individual airport projections. The Terminal Area Forecast (TAF) includes forecasts for active airports in the National Plan of Integrated Airport Systems (NPIAS). The Federal Aviation Administration’s (FAA) Forecast and Performance Analysis Division, Office of Aviation Policy and Plans, develops the TAF. As its primary input, the TAF initially used the national forecasts of aviation activity contained in FAA Aerospace Forecasts, Fiscal Years 2015-2035. The final TAF considers the forecasts and assumptions contained in FAA Aerospace Forecasts, Fiscal Years 2016-2036. Beginning March, 2016 the tables for the national forecasts can be found at: http://www.faa.gov/data_research/aviation/aerospace_forecasts/ media/2016_National_ Forecast_Report.pdf The TAF is available on the Internet. The TAF model and TAF database can be accessed at: http://www.faa.gov/data_research/aviation/taf The TAF model allows users to create their own forecast scenarios. It contains a query data application that allows the public to access and print historical (1990 to 2014) and forecast (2015 to 2040) aviation activity data by individual airport, state, or FAA region. The FAA welcomes public comment on the forecasts, as well as suggestions for improving the usefulness of the TAF. Roger Schaufele, Jr. Manager Forecast and Performance Analysis Division Office of Aviation Policy and Plans i Acknowledgements This document was prepared by the Forecast and Performance Analysis Division of the FAA Office of Aviation Policy and Plans under the direction of Roger Schaufele, Manager, and Michael Lukacs, Deputy Division Manager, Forecast and Performance Analysis Division.
    [Show full text]
  • Winging to Africa's Heart
    RwandaiR Winging to AfricA’s heArt www.rwandair.com RwandaiR Winging to AfricA’s heArt RwandAir is a young airline with a young fleet: it is making full use of Rwanda’s position to link with Africa’s capitals and beyond written by: John o’hanlon research by: RobeRt hodgson RwandaiR wanda may be one of Africa’s The country’s new national carrier began Since 2009, RwandAir has built a NextGen and a Bombardier Dash 8-200. smallest nations, and one with operations on 1st December 2002 under the reputation as a reliable timekeeper that RwandAir was the first African carrier to an unenviable recent history name RwandAir Express, with passenger offers affordable fares to most capital cities fly the 737-800 NG with its interior mood to say the least, but since its transportation as its primary activity though it in eastern Africa while operating a young, lighting and enhanced ‘Sky’ interior design. Rnow President Paul Kagame held a concession to carry out airport ground state-of-the-art fleet. Passenger numbers This aircraft offers a much higher operating was elected in 2003 it has experienced a handling of freight at Kigali International have just about doubled each year as the range capability than was previously decade of relative peace and security. This airport, Kanombe, as an ancillary activity. airline acquired new aircraft and opened available, in the region of 6,000 kilometres. has enabled Rwanda to take advantage of In March 2009, following a tragic accident new destinations. Today the airline operates RwandAir is now able to offer direct flights to its strategic location within the African at Kanombe, it was decided that the airline a fleet of seven aeroplanes made up of two south-western Europe, Asia Minor and South- continent.
    [Show full text]
  • Sparse Networks with Core-Periphery Structure
    Sparse Networks with Core-Periphery Structure Cian Naik Department of Statistics, University of Oxford e-mail: [email protected] Fran¸coisCaron Department of Statistics, University of Oxford e-mail: [email protected] Judith Rousseau Department of Statistics, University of Oxford e-mail: [email protected] Abstract: We propose a statistical model for graphs with a core-periphery structure. To do this we define a precise notion of what it means for a graph to have this structure, based on the sparsity properties of the subgraphs of core and periphery nodes. We present a class of sparse graphs with such properties, and provide methods to simulate from this class, and to perform posterior inference. We demonstrate that our model can detect core-periphery structure in simulated and real-world networks. MSC 2010 subject classifications: Primary 62F15, 05C80; secondary 60G55. Keywords and phrases: Bayesian Nonparametrics, Completely Random Measures, Poisson random measures, Networks, Random Graphs, Sparsity, Point Processes. 1. Introduction Network data arises in a number of areas, including social, biological and trans- port networks. Modelling of this type data has become an increasingly important field in recent times, partly due to the greater availability of the data, and also due to the fact that we increasingly want to model complex systems with many interacting components. A central topic within this field is the design of ran- dom graph models. Various models have been proposed, building on the early arXiv:1910.09679v1 [stat.ME] 21 Oct 2019 work of [12]. A key goal with these models is to capture important properties of real-world graphs.
    [Show full text]