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Measuring the potential for self-connectivity in global air transport markets: Implications for airports and airlines
Cranfield University, England.
University of Edinburgh, Scotland.
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
2016 (English)In: JOURNAL OF TRANSPORT GEOGRAPHY, ISSN 0966-6923, Vol. 57, 70-82 p.Article in journal (Refereed) Published
Abstract [en]

One of the strategies that air travellers employ to save money is self-connectivity, i.e. travelling with a combination of tickets where the airline/s involved do not handle the transfer themselves. Both airports and airlines, particularly low-cost carriers, have recently started catering to the needs of this type of passengers with the introduction of transfer fees or the development of self-connection platforms. The evidence provided by the existing literature, however, suggests that the degree of implementation of these strategies falls short of its true potential. In order to investigate how much self-connectivity could be observed in global air transport markets, this paper develops a forecasting model based on a zero-inflated Poisson regression on MIDT data. We identify the airports that have the highest potential to facilitate self-connections, as well as the factors that hinder or facilitate the necessary airline agreements at major locations. The results from this paper have many implications in regards to the widespread implementation of self-connection services and the future of the air travel industry. (C) 2016 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2016. Vol. 57, 70-82 p.
Keyword [en]
Self-connectivity; Air transport networks; Connection builder; Poisson regression
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-134093DOI: 10.1016/j.jtrangeo.2016.09.013ISI: 000390509600008OAI: oai:DiVA.org:liu-134093DiVA: diva2:1067528
Available from: 2017-01-22 Created: 2017-01-22 Last updated: 2017-01-26

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Rodriguez Deniz, Hector
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Department of Computer and Information ScienceFaculty of Science & Engineering
Transport Systems and Logistics

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf