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Enregistrement W2944535965

Pondhopping: Changes in Airline Competition and Service Patterns on the North Atlantic

2018· article· en· W2944535965 sur OpenAlexaboutno aff
Dennis Nickson, David Pitfield

Notice bibliographique

RevueWestminsterResearch (University of Westminster) · 2018
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueAviation Industry Analysis and Trends
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConsolidation (business)AllianceCompetition (biology)BusinessDeregulationEconomyInternational tradeGeographyMarket economyEconomicsFinance
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This paper draws upon a range of research and data sources to examine recent developments in the North Atlantic air transport market. \n\nOver the last decade, major changes to the industry structure have taken place including mergers between United-Continental, Delta-Northwest, American-US Airways, British Airways-Iberia-bmi-Aer Lingus (IAG). The alliance between British Airways and American has gained anti-trust immunity and acquired the former services of US Airways while Delta has formed a new Joint Venture with Virgin Atlantic. Icelandair and Wow have developed budget hub operations between the two regions via Reykjavik and in the last two years, further disruption has been led by Norwegian’s low-cost transatlantic services, joined now by low-cost offerings from WestJet, Air Canada Rouge and IAG’s Level. The extent to which the network carriers are trying to tap a new market through these offerings versus merely frustrating the efforts of their upstart rivals is discussed. \n\nCapacity and frequency data from Innovata and OAG is used to examine the development of air services along with traffic data from ICAO, UK CAA and US DoT. It is shown that the alliances have curbed capacity, increased load factors and reduced the influence of secondary hubs in favour of the major cities and gateways. New non-stop routes have been facilitated by technological developments such as the 787 and 737Max.\n\nA case study is made of London and New York (the two largest markets) and the impact of airline consolidation through mergers and alliances on market concentration is assessed using the Herfindahl - Hirschman Index (HHI). This is applied to both frequency (flights/week) and capacity (seats/week). Capacity is shown to be more concentrated as the stronger players are able to utilise larger aircraft. Traffic and load factors on North Atlantic routes from these cities are also analysed in parallel. It is found that concentration in London has increased through the growing dominance of British Airways-American although tempered by the growth of Delta-Virgin Atlantic as a strong second force on the North Atlantic while United, which is one of the legacy operators through its acquisition of Pan Am’s London rights, has lost ground. The New York market demonstrates a different trend with the move of Continental from SkyTeam to the Star Alliance (and subsequent merger with United) creating a more even split between the three alliance groups on North Atlantic services from that city. The price advantage of connections through hubs over direct flights has often diminished since these all became controlled by the same three major airline and alliance groups.\n\nIt is concluded that the North Atlantic has become an oligopolistic market following recent industry consolidation but there are some incipient signs that this is being challenged by the new entrants with point to point services. Although there is a potential niche for direct transatlantic service from secondary airports and regional cities, it is not necessarily a large or low-cost one and the challenge will be whether the required combination of capacity, traffic volume and yields can be achieved to compete with the network carriers and the high frequencies from their reinvigorated hubs.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,038
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,070
Tête enseignante GPT0,230
Écart entre enseignants0,160 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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